Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012

Mechanical engineering English education plays an indispensable role in higher vocational colleges. According to the basic requirements and purposes of higher vocational foreign language teaching and the principle of college-enterprise cooperation and work–study combination, this paper analyzes the present situation and problems. To these problems, from such three aspects as the teaching staff, the construction of teaching material and the teaching methods, the paper attempts to reform mechanical engineering English education based on ESP in order to further deepen the “five-cohesion and ten-docking” personnel training mode proposed by China’s higher vocational English education.

To promote the teaching quality of aerobic curriculum for physical education majors in Chengdu Sport University and enhancing the role that aerobics plays in the training of Chinese physical education professionals. Based on the guiding ideology of modern Chinese higher education, adhering to the training program of Chinese physical education professionals, this paper refers to the teaching target of Chinese aerobic curriculum and begins with the present teaching situation of aerobic curriculum for physical education majors in Chengdu Sport University to look into existing problems in the university, with the help of such research methods as literature review, comparative analysis, interview, and logic analysis. Meanwhile, ways to the teaching reform of aerobic curriculum are pointed out.

The rapid development of IT technology generates enormous opportunities for young college students to start their own businesses; hence, experimental teaching model is encouraged among various colleges to cultivate students and their practical abilities, and they might use what they learn to find their motives in cyber market. This paper aims to research the colleges who are applying the experimental teaching model and their students, then by questionnaire investigates them and those who have experiments in starting own businesses and then statistically processes the data to analyze the indicator system which might improve the online entrepreneurship-driven experimental teaching model. Finally, the factor structure is modified.

Moodle’s designing concept, free and open source characteristics and its rich functions have provided a guarantee for the smooth implementation of the personalized teaching model, but before putting it into practice, we must take into consideration the learning styles of the students. On the basis of examining the strengths of the Moodle platform and the characteristics of the students’ learning styles, this paper explores the theoretical basis and connotations of the personalized teaching and then conducts a further study on the implementation of personalized teaching model from the perspectives of curriculum, course content, teaching methods, extracurricular activities and evaluation system.

Nowadays, modern division of labor is becoming increasingly clear. How do we deal with the embarrassing situation that the e-commerce major students have learned extensive but shallow knowledge? The only solution is to cultivate the application-oriented e-commerce talented person based on universities, which could improve the employment rate of electric commerce major students. From the perspective of students, this paper intends to recommend that all universities should take actions as circumstances permit and integrate all kinds of resources according to the wishes of the students. It discusses a brand new training mode for the application-oriented e-commerce undergraduate talents from the view of training direction and innovation management.

The twenty-first century is the information society, so it is necessary to have a high level of the information literacy and establish informationalized teaching management concept for university teaching administrators. This paper tries, based on the analysis of the information literacy composition of university teaching administrators and training importance, to put forward the training strategies of the information literacy for university teaching administrators.

With the improvement of people’s living standard, people’s pursuit of beauty is more and more high. At present, from primary school to high school, the reform of arts curriculum has been fully implemented; various arts training institutions also emerge in an endless stream on the society. In this condition, the art education of high normal school is less adapted to the social development, and it is imperative to analyze its current situation and give the corresponding countermeasure. In this paper, it firstly analyzes the social environment and the education target about the current normal art education, then discusses problems and countermeasures about art education of high normal schools from four aspects, finally discusses the quality that teachers should have in art education of high normal schools.

By applying the human factor engineering into the research, the educational management errors are divided into systemic error, human error and random error. On the basis of analyzing the formation mechanism of educational management errors, it is proposed that the management system for the error prevention and error monitoring should be established so as to effectively reduce the occurrences and the negative effect of errors, and improve the quality of educational administration.

To explore the teaching management on sports club in colleges of vocational education, this study used literature review, expert interview, questionnaires survey, and statistic analysis methods, it came into the following findings: (a) the sports events do not meet the need of the students in the college of vocation education, (b) school sports facilities and equipment cannot meet the teaching management on sports club mode, and (c) teaching in sports club mode needs the physical education owns more skill. In order to resolve this problem, the author suggests the following: (a) school authorities and local government should endeavor to complement the effort of the teachers with enough funds in the culture of improvisation in the bid to providing needed infrastructural materials so as to improve physical education teacher and (b) training and re-training programmers should be conducted regularly for teachers to facilitate improvement on sports skills.

Toward the research of mathematics learning strategy in the occupation education, mathematics as cultural foundation course provides the necessary knowledge for professional courses and directly or indirectly affects students’ mastery of professional courses in vocational education, so it is imperative to improve mathematics academic performance. In this article, learning strategies are analyzed, the importance of mathematical learning strategies is described, and the way of mathematics learning strategies is given.

As the rapid development of tennis in China’s universities, traditional sports teaching methods cannot meet the demands of learning tennis. Under the circumstances, this paper has made an exhaustive study on the effects of computer-aided designed teaching platform for tennis teaching. It has also integrated tennis teaching with web-based instruction, which has largely improved the former teaching mode. According to the results of the study, with the help of this web-based teaching platform, modern tennis teaching form has become increasingly various, making the learning process of students even more targeted, practical, and advanced.

This paper presents a card simulation technology. We used the embedded device to simulate the contactless IC card data integrity, data security, initialization-on/anti-collision, main logic control, command set, read/write control and memory so as to implement the simulation of contactless IC card. Based on the simulated card, we designed the test system to test the IC card reader of AFC system. It solved the fundamental problem IC card reader test confronted which is the big inconvenience brought by the manual operation and the great cost of material resources. Experimental results show that the method which using simulated IC card to test IC card reader is efficient and reliable.

The input-series and output-parallel (ISOP) converters, which consist of multiple low-voltage and low-power modules, are very attractive in the high input voltage. In this paper, an ISOP DC/DC transformer, based on non-resonant full-bridge DC transformer modules, is proposed. The main factors, which influence the input voltage sharing, such as duty cycles, switching frequencies and periods, and turn ratios in each module, are analyzed in detail for guiding designing an ISOP DC/DC transformer in practical applications. Finally, experimental results of an ISOP DC/DC transformer are given to verify the analysis.

In the lithium-ion batteries for electric vehicle applications, the battery equalizer is required to enhance life time and guarantee safety. A simple technique that provides effective equalization in terms of battery voltage for a series string of battery cells is presented in this paper. The advantages of accurate equalization are very substantial and include reduced damage to battery cells in the stack and a dramatic increase in battery life. The main circuit technique of two-level DC/DC converters substantially simplifies the structure. Moreover, fuzzy logic equalizing algorithm effectively enhances the uniformity of batteries. The operational principles and design considerations of the proposed equalizer are presented, and equalization performance is verified by the prototype with 6 Ah lithium-ion batteries.

The introduction of Differential GPS (DGPS) into application improves the position accuracy, which leads to the possibility for the use of GPS into precise approach. However, the accuracy and integrity of DGPS are limited due to the influence of ionosphere error including both the spatial and temporary gradient. They also bring in some extra error due to the effect of ionosphere temporal and spatial gradient based on the analysis of this error, a new algorithm is formulated to design optimal Hatch filter whose smoothing window width varies flexibly with the satellite elevation, ionosphere variation and distance from the user to the reference station. Through the application of the method to GBAS and the comparison to the performance of traditional Hatch filter based GBAS, it reveals that the improved GBAS is more robust for the challenge of ionosphere storm.

The paper proposed threshold-based adaptive filling algorithm for Gerber rasterizing. Based on high-precision requirements of Gerber, the original filling algorithm is applied to the PCB printer. For the error produced in traditional algorithm, the new algorithm being improved is more suitable for Gerber. Experiment shows that the new algorithm is faster and has high efficiency for Gerber rasterizing compared with original. It helps to enhance the quality of PCB printing and promote the PCB printing industry.

Introduce a method of using auxiliary oscillator circuit connected the break of the circuit. DC current can be interrupted by the break of AC current circuit breaker according to the principle of the current zero-crossing occurred by superimposed current. The features and the circuit structure of the breaker based on above-mentioned principle as well as the calculation method of key parameters are introduced in detail. This paper at the same time discusses about the forms of the experimental circuit for testing and verifying the capability of interrupting DC current on the circuit. Especially, the scheme of the equivalent test circuit of imitation DC power supply was proposed which based on storage energy with the capacitor and the experimental operational timing diagram, simulation waveforms and the experimental waveforms are given. Ultra-high voltage direct current (UHVDC) transfer switching formed based on same principle used in UHVDC transmission project was recommended.

Sinusoidal phase modulation (SPM) interferometer is a time phase modulation method, which has strong anti-jamming ability and needs higher CCD frame rate, so ordinary CCD do not meet the requirement. This article proposed a new interval sampling based on SPM. When SPM modulating signal frequency was 200 Hz, preset sampling frequency was 2,000 Hz; area array CCD with 182 Hz frame rate only collected an interference image in a modulation cycle, and then, these collected images are processed using 2,000 Hz CCD frame rate, thereby reducing the CCD frame rate. This article processed simulation and extracted phase principle values of interference images with filtering method, and by joining main interference signal in the work environment, the error analysis proved that interval sampling could improve the anti-jamming ability of SPM interferometer in the measurement of object surface topography.

For no keys into the start of the system and the electromagnetic compatibility problem, this paper designed and realized based on the platform of the electromagnetic field surrounding LabView car distribution shows the function and complete automatic control, manual walk control and the coordination work with acquisition part. Car passive entry and passive start (PEPS) low-frequency automatic calibration system can realize the whole process of automation and visualization, this paper, based on the Matlab platform design database data extraction and 3D display function, and the Matlab platform called LabView the function design and commissioning of the final, and finally from the point of view of the simulation are given the whole car model 3D magnetic field distribution shown figure, reflect the car model field around the change trend of the electromagnetic field size and, without keys into the start of the actual testing system and put forward the suggestions reference.

A kind of new topological structure of grid-connected Z-source inverter used in offshore wind power generation control system is proposed. And its operational principle of the improved Z-source inverter is analyzed. An implementation method of fixed shoot-through step-up ratio control with Space Vector Pulse Width Modulation (SVPWM) system is studied. The mathematical model of three-phase voltage source PWM inverter in the three-phase static coordinate system and two-phase rotation coordinate system is built. The control strategy of fixing Z-network capacitor voltage and decoupled controlling

d

–

q

-axis current is used to realize unity power factor grid-connected. The results of simulation verify its correctness of theoretical analysis and validity of control method.

Palm print template security is an important issue in a real biometric system because compromised templates cannot be revoked and reissued. To tackle these problems, in this paper, by measuring the Gabor-based palm print image with a chaotic random matrix, we propose a palm print template protection scheme with provable security and acceptable recognition performance. Firstly, the Gabor is employed to convolute with preprocessed palm print image. Then, to generate the binary cancelable template, the obtained Gabor representation is compared with a chaotic random matrix. The random measure can improve the template’s discriminability. Therefore, the proposed algorithm not only protects the template but also has better performance. The experimental results on Hong Kong PolyU palm print database show that the proposed approach can achieve zero equal error rate (EER) and has large cancel ability.

In view of the limitations of popular automatic interface generation technologies in medical record management system of colorectal cancer, this paper presents a new automatic interface generation algorithm in terms of features of colorectal cancer medical record. This algorithm realized automatic interface generation control which was bound with data fields in database, also realized the basic functions such as adding, deleting, checking and altering and so on. It was testified that this algorithm can save 70 % developing time when comparing with manual method when applying it in the development of medical record management system of colorectal. This algorithm is also suitable for other medical data management system which has same data features.

Agricultural information is the combination of traditional agricultural management modes and modern high-tech means, and it is also the effective way in which information technology permeated to agricultural field. Agricultural information technology will play an important role in promoting future agricultural production and technological progress as a whole. With the application and development of satellite remote sensing technology (RS), geographical information system technology (GIS) and global positioning system technology (GPS) in the agricultural disaster field, especially the rapid application and achievement obtained in agricultural flood disaster control, 3S technology has been proved to be playing a special role in deeply exploring agricultural flood information, improving utilization efficiency of agricultural flood information and guiding agricultural production.

The scale of postgraduate education in China is increasing rapidly in recent years, which brings the challenge of avoiding training quality reduction. Current researches on postgraduate education problems are investigated, and the outcomes are classified into two types. The principles to define postgraduate education goal scientifically in Management Science and Engineering (MSE) are presented, and the processes to formulate reasonable training program are suggested. Also the defects of traditional tutorial system are analyzed and several improved multi tutors systems are suggested.

To find a new algorithm for non-invasively detecting ankle brachial index (ABI) by synchronous acquisition of four limbs pulse wave signals and cuff pressure-wave signals based on waveform character method and amplitude coefficient method in priority rule. The turning point was judged in certain range by calculating the difference of adjoining pulse waves and their relative ratio based on priority rule. The method settled the problem of misjudgement of the turning point before systolic blood pressure (SBP) and around average pressure. Many cases analyses and lots of clinical tests proved the algorithm effective and reliable. ABI is a handy and dependable predictor of atherosclerosis; it is associated with conventional risk factors such as age, blood pressure, and so on.

This paper selects the dual-clutch type of parallel hybrid vehicles to run vehicle simulation in the China city bus typical driving condition and displays the curves of major parameters of main components such as the engine and the electric motor. Meanwhile, it compares the fuel consumption, acceleration performance and climbing ability of HEV system with conventional car system and obtains the superiority of HEV system in terms of the vehicle dynamic performance and fuel economy. The purpose of this paper is to analyze the science rationality from the point of systems and subsystems and whole emergence referred to Systems Science theory through the simulation.

At present, the evaluation of stroke rehabilitation is mainly based on physician’s experience and evaluates the degree of one of function injury for motor function, nerve function, and activities of daily living. There is no a quantitative method. Therefore, the evaluation model of stroke rehabilitation is proposed and evaluates the condition of stroke patients quantitatively. Experimental results show that the evaluation model of stroke rehabilitation correlates well with the Fugl-Meyer assessment, which indicates that the model is effective.

In this paper, the use of software engineering prototyping ideas using rapid development tools is to design a system test version. This version can be used to demonstrate and evaluate user. With this beta version to refine their needs, system developers tap the needs of users with this beta version, system test version to improve on this basis, the final user needs quick management information system development methodology to meet the information management needs of pediatric clinical care information system. In short, the system will eventually provide the pediatric an effective platform for a health care quality assessment and performance appraisal.

The overall needs of pediatric care information system were defined and analyzed in the paper (the needs of hospital management, the needs of pediatric management, the needs of pediatricians, the needs of pediatric care experts, the needs of pediatric nurses, the needs of maintenance personnel, the needs of children and family), based on HIS system of the theoretical analysis and related technologies. Propose a client/server design pattern to design a chart of pediatric information management. The specific design of the pediatric care information, the pediatric department management, patient and families, leadership/doctor queries, and other pediatric care information management function modules were given in the paper. The pediatric health care processes, the matron information flow, were studied and realized. The subsystem has greatly simplified the management of clinical pediatric care, reduced costs, and has great significant to clinical pediatric care information management.

There are many deficiencies in the process of transfer, admissions and treatment of traditional pediatric care. According to BPR-based theory, we propose a new type of pediatric care management processes; it makes up for the limitations of traditional pediatric care, provides more comprehensive and specific care services, greatly enhances the care quality and efficiency, saves processing time and expands services. It is truly people-oriented, personalized service that makes care more systematic, standardized and scientific.

Information technology subsystem of pediatric care experts is an important part of clinical pediatric care management information system. We studied the model of pediatric care experts and its subsystem. We focus on the ability of pediatric care experts, the duties of pediatric care experts, the organization and implementation process and the informational implementation process of pediatric experts care. The practice shows that the subsystem has a major role to improve the clinical pediatric care information management.

Enterprise group’s credit risk has obviously infectious character because of its large number of companies, complex share relation and invisible associated business. The number of low credit rating companies within enterprise group and its variance directly reflects credit contagion trend in group. Combined with graph theory and epidemiological point of view, this paper firstly analyzed credit risk contagion process in group, then proposed a stochastic credit contagion model for enterprise group and gave an example for its application. In order to get the way of controlling infection, we took sensitivity analysis for principal parameters. Our results showed that reducing risk correlation degree and risk inflectional coefficient was effective to prevent credit contagion.

This paper highlighted the basic situation of colorectal cancer and introduced the key technologies of data mining, then summarized medical applications of data mining technologies, and finally discussed the use of data mining technology in cancer, especially colorectal cancer research. Prospect of data mining prediction in post-treatment of colorectal cancer has been proposed.

Radio frequency identification (RFID) technologies have revolutionized the asset tracking industry, with applications ranging from automated check out to monitoring the medication intakes of elderlies. There are two challenges for the frame-slotted ALOHA algorithms in (RFID). The first challenge is estimating unknown tag-set size accurately; the second challenge is improving the efficiency of the arbitration process so that it uses less time slots to read all tags. A novel anticollision technique is proposed to maximize identification performance in slotted ALOHA-based (RFID) systems. The performances of these protocols are evaluated, and it is verified that this protocols outperform the traditional frame-slotted ALOHA protocols.

Two dimensional mixed flows of buoyant and thermocapillary convection are investigated by the spectral element method (SEM). The Navier–Stokes equations are solved based on a spectral element discretization with Chebyshev and Legendre polynomials. The semi-implicit time-splitting method is employed for temporal discretization. Finally, the SEM is applied to solve two dimensional mixed flows of buoyant and thermocapillary convection. After qualitative and quantitative comparisons between the SEM and finite volume method (FVM), it is found that the numerical solutions agree closely with the reference data. In addition, exhaustive sources of errors are given. These numerical results reveal that incompressible fluid flow with free surface can be accurately solved by the SEM.

This research, concerning long-term monitoring mode of technology innovation of equipment manufacturing industry through the methods of analyzing long-term mode elements, discusses the function and position of elements and describes the mechanisms and principles of the mode of long-term operation. The purpose of this article is to achieve the development of science and technology innovation. The three long-term effective control modes of science and technology innovation and their interactions are the creation of this research which is seldom discussed in detail in other related research. The result is that the government should well play its role in the process of monitoring and guiding the enterprises to pursue the long-term technology innovation achieving by conducting the three long-term effective control modes.

Real-time data access of a monitoring system is necessary for evaluation of its capacity to interact with real environments. A novel data organization and access model (NDOAM) is presented to the real-time monitoring system based on the metadata hierarchy. This model takes advantage of real-time database in main memory, mapping to the sensor data for equipment status. The model needs to maintain only little amount of information, and front application could quickly access real-time and historical data with the metadata mapping. At the same time, the complexity of the data mapping process is quite low. Simulation results show that the model improve the performance of data access, significantly decrease the number of I/O. Compared with traditional data organization and access model (TDOAM), it shows that the model actively supports distributed environment and the open industry standards, has a good effect on the environment of a large-scale real-time data objects compared with the existed models.

The two-class retailer-led supply chain equilibrium model is established under demand uncertainty in this paper. The conclusion can be verified that the enterprises of the supply chain can achieve the optimal total profit as well as individual income through cooperation based on the Stackelberg game theory. In order to maintain the stable cooperation between enterprises of the supply chain, applying cooperation mechanism with buy-back contract can realize the win–win state on supply chain enterprises.

With the rapid development of E-retailing business, customer loyalty management becomes more important to E-retailers. However, E-loyalty is not observable from the perspective of merchants, there should have data mining before recognizing and grouping consumers. Moreover, the evolution process of customer loyalty shows dynamic, stochastic and non-after-effect characteristics, which can be called as a Markov process. The paper explores how Hidden Markov model can be applied on E-loyalty researches. Combining with K-mean clustering method, this paper builds the HMM-based E-loyalty simulation model, including transition matrix of customer loyalty and transaction behavior. Detailed experimental results are given in the last part.

There are two performance bottlenecks in fireworks simulation using traditional particle system that utilizes CPU to update particle properties. First, the efficiency is low using CPU to update the property of each particle. Second, CPU will transfer each updated data every time to GPU for rendering, which causes too frequent communication between CPU and GPU. This paper introduces a new particle system method for fireworks simulation based on compute unified device architecture (CUDA). The method uses parallel threads of CUDA to update the particle properties. It reduces the frequent communication between CPU and GPU by graphics interoperability of CUDA and OpenGL. The field experiment shows that the rendering speed of fireworks simulation is accelerated using CUDA. The rendering effect can meet the real-time requirement of video game and virtual reality.

In the background of simulation system and industrial robot, this paper described the application features of OpenGL and focused on the design and implementation of simulation system of industrial robot. Then, we need to study the application and key technology of OpenGL in graphical simulation system and to explore the implementation method of the system. Finally, the disadvantages of OpenGL in specific industrial robot simulation system were described, and to achieve good results further improved measures were proposed in this paper.

Nowadays, “cloud computing” has become an increasingly popular term. Many researchers are attracted in promoting education development through cloud computing technology. Virtualization is the core of the construction of an educational resources platform based on cloud computing. This paper focuses on the provisioning virtual educational resources through private cloud with particular concerns with security, QoS, and lifelong learning. Related work in the area is discussed, on the basis of which principles of educational resources development are proposed. The paper also provides an analysis of the services provided by the virtual educational resources platform and proposes a novel platform architecture for private cloud-based virtual educational resources.

In the mass storage system, load balancing becomes a key issue. The people proposed the load balancing method in the past only to consider the load of the node. In this paper, we propose the load balancing method based on the remaining storage capacity. The method considers the load and the node’s remaining storage capacity of the node. By analyzing the load-control model, this paper presents a hybrid control model. Each level uses the different balance strategy. The model can timely spread the load. To collect information consumes few resources. The simulation results show that the approach can markedly reduce the overall response time and balance the global load.

In this paper, we developed a model of supply chain network, in which both physical and B2C electronic transactions were used by manufacturers and the manufacturers’ risk was considered. The model comprised various decision makers including manufacturers, retailers, and consumers. And the demands associated with the consumers were random. We formulated the equilibrium state of the network by finite-dimensional variational inequality theory. In turn, the logarithmic–quadratic proximal prediction–correction algorithm was designed to calculate the network equilibrium pattern. Several numerical examples were given to illustrate the impact of price ceiling, production capacity constraints, and risk upon the network equilibrium prices and product shipments. The results show that when considering a binding price ceiling on competitive markets, the total profit of manufacturers, and the retailers will decrease.

Emergency logistics distribution of disasters and accidents is an effective means to reduce the loss of lives and property. On the condition of meeting the timeliness requirement of emergency logistics, the study of emergency logistics distribution can rationally schedule vehicle, substantially reduce the vehicle allocation time and the logistical cost. Through the analysis of the characteristics of rescue emergency logistics, the system structure of emergency logistics distribution is proposed. After the material distribution optimization model for emergency logistics is established, an improved genetic algorithm is designed to solve this problem. In improved genetic algorithm, the best individual reservations, roulette selection, blend crossover, and blend mutation have been adopted to avoid premature convergence and enhance the process efficiency. A numeric example is presented to validate the feasibility and effectiveness of the model and its algorithm.

With the rapid development of educational information technology, M-learning has already become a new learning method, which has obvious advantages in education and teaching. With cloud computing coming, high-performance computing, mass storage, and convenient services will be around in every aspect of our lives, and this undoubtedly provides a good foundation and platform for the research and development on M-learning. This paper constructs campus M-learning platform under the support of cloud computing and design several modes of campus mobile learning based on the cloud computing in order to help the development of campus M-learning.

Purposes are to explore the healthy development angle, theory, and method of the Chinese gymnastics. Based on the practical situation for gymnastic development in the process of Chinese construction of a sport power, this paper employs such approaches as the literature review, expert consultation, and logical analysis to research the broad-sensed gymnastics. It is proposed that Chinese broad-sensed gymnastics should be developed in an industrialized way. Meanwhile, the necessity and feasibility for the industrialized development of the broad-sensed gymnastics are further discussed. Research findings indicate that the industrialized development of the broad-sensed gymnastics is highly necessary and feasible and it is a must for Chinese broad-sensed gymnastics to overcome the practical development predicament. Finally, tentative suggestions are given concerning the further research on relevant issues.

This article designed a sinusoidal phase modulation (SPM) interferometer for the precision measurement of object displacement. By using low-pass filters to deal with interference signals, the sine and cosine values of phase in the measured object displacement were got. Then the sine and cosine values of phase divided each other, got its arctangent, and processed one-dimensional phase unwrapping to get the measured object displacement. The Interferometer had high measurement accuracy and strong anti-jamming ability; every measurement was the ratio of two values got by two filtering, the effects of the amplitude of interference signal AC component, circuit amplification, the light-intensity of interference signal, and attenuation of filter on the signal and other factors on the measurement results need not be considered. The circuit structure of the Interferometer was designed to be simple.

Efficient quality of service QoS management is critical for computational grid to meet heterogeneity and dynamics of resources and users’ requirements. Aimed at the QoS requirement for resource, QoS-constrained resource scheduling algorithm is proposed. All the tasks are needed to be associated with four QoS dimensions, namely time, reliability, security, and cost. It is implemented and the advantages of the new algorithm are investigated in a grid simulator called Grid Sim after the simulator has been expanded. The results of the simulation experiments show that this new scheduling algorithm effectively achieves load balancing of resources with comprehensive advantages in time efficiency, and solution accuracy compared to the other two algorithms. The approach can reduce data access latency, decrease bandwidth consumption, and distribute storage site load. It can be applied to resource scheduling in grid computing.

At present, people are in the pursuit of household intelligent control, at the same time, they start to focus on the comfort and energy saving in household environment. This paper based on the FIPA ontology standard, a kind of intelligent household energy saving model is established, the system of various kinds of agent module are analyzed, and a concrete plan to design energy control is provided. By introducing ordered weighted average operator (OWA), the problem that the system can maximize the customer comfort with minimum power consumption is solved.

Cloud computing is a new term emerged in recent years. Although it is a new thing, it has developed fast and received significant attention from more and more people. Because data is the processing object of the cloud computing system, data storage and management are critical for cloud computing systems, thus they are very valuable research areas for researchers. First, this paper introduces the concept and characteristics of cloud computing, and puts forward a concept of cloud computing based on own understanding. Then, this paper analyzes Google’s two data storage and management technologies—GFS and BigTable, and discusses the Map-Reduce programming model. Finally, we outlook the development trend of cloud computing and point out the problems it consists.

In order to improve its ability of fast response to replying the economic globalization and product diversification, the higher demands are put forward in computing rapidly and sharing effectively. The manufacturing cloud platform is born at the proper moment. It is important to carry out ordering of manufacturing cloud platform to realize data management perfectly. On the basis of analyzing the connotation of ordering, the ordering system for objects oriented to manufacturing cloud platform is proposed. The key technologies are elaborated which including the technology of rationalization, modularization, normalization, organization, standardization, and so on. It is indicated that the ordering for manufacturing cloud platform is convenient to share resources, improve the efficiency of enterprise personnel. It is the guide of implementation for information in future.

With the Rapid knowledge updating in the twenty-first century, and the rapid development of mobile devices, more and more people are willing to choice mobile learning, because traditional mobile learning has many limitations, so this paper describes the prospects of mobile learning under cloud computing platform, discusses structural design of a mobile learning system based on cloud computing, etc.

Based on the analysis of the Apriori algorithm from the perspectives of time complexity and memory complexity, a novel algorithm was proposed. The proposed algorithm defined a cross-linker structure firstly and then used this structure to substitute the array description of the transactions database. The cross linker structure shortened the length of the objects linked; thus, it reduced the algorithm’s time cost. The cross-linker structure did not save the candidates of frequent itemset also; thus, it reduced the algorithm’s memory cost. The experiments show that the proposed algorithm’s performances are comparable.

In order to respond to environmental uncertainty, deep understanding, flexibility, and analysis of evolution of supply chain flexibility in changeable demand environment is the primary goal in supply chain management. With the continuous updation of technology and various customers’ requirements, supply chain flexibility has received increasing attention by practitioners as well as researchers. This paper analyzed the concept of supply chain flexibility evolution and division of the flexibility capacity of supply chain. Then it presented the construction stages and evolution factors of the supply chain flexibility. Due to the timeliness and dynamics of supply chain flexibility, supply chain has to dynamically adjust and real-time monitor the degree of flexibility. Finally, this paper established the evolution mechanism and evolution framework of supply chain flexibility, which is essential to construct an effective supply chain and has deep theoretical and practical values.

Producer service is an important component in the modern service industry, and has become one of the key factors in the development of economy. This paper mainly compares the current situation between Zhejiang and Jiangsu producer service in three aspects: added value, structure, and employee proportion, then it finds that the producer services in Jiangsu develop much better than Zhejiang’s. After then this paper does a deep analysis on the existing problems of Zhejiang producer service, and on the basis of these existing problems it puts forward some related suggestion to the developing strategies of Zhejiang producer service.

In order to improve the efficiency of storage handling process, put forward the analytical method based on combining the Petri net modeling and Flexsim simulation. Firstly, the method uses Petri net for modeling to find problems in the process. Secondly, it uses Flexsim for entity simulation to make the system bottleneck clear at a glance. Finally, it achieves the purpose of optimization system through the modification of system parameters. The simulation results show that the method can find the system bottleneck more easily compared with the traditional method, with a visual effect, and can accurately reflect the handling process condition.

This paper provides the classification of statistics on the number and location of heritage-based attractions such as state-level scenic spots, national geology parks, national forest parks, and national nature reserves in five territories including Sichuan, Guizhou, Yunnan, Chongqing, and Tibet Autonomous Region. Integration of data models including space model theory and geographical proximity and geographic concentration of the use of the model are used in quantitative analysis of distribution of these tourist attractions. Finally, relevant conclusions are drawn with a view to regional integration in the tourism development process and able to provide a useful proposal for the relevant decision-making departments.

Many specialized agencies start to do basic research of 3D GIS, and a lot of prototypes of 3D GIS were developed today. But, due to most of the traditional modeling software have many defects. So the method of ArcGIS combined with SketchUp is brought forward as a new idea in GIS 3D visualization because ArcGIS has powerful spatial analysis functions, while SketchUp is easy to learn and models quickly. This paper summarized the research status both home and abroad, discussed the application of the technology in various fields, analyzed its advantages and disadvantages, and then explored the development prospect of it.

If the applications are built by reusing the distributed components, the quality and development efficiency of applications can be significantly improved. However, it is very difficult to select the components with high Quality of Service (QoS) and security because of the openness and dynamics of Internet. Existing trust models are usually established on the base of the historical interaction experience among software entities, and are not entirely suitable for the distributed components with strict requirements on QoS. On account of the problem, a trust evaluation method appropriate to distributed components is presented. The method not only meets the subjective and fuzzy characteristics of trust by being based on fuzzy logic theory, but also helps to solve the problems of selecting trusted components in open network by comprehensively considering the QoS and historical interaction experience.

In order to improve the accuracy and speed of template matching, the paper presented a new fast search algorithm and called it the improved diamond search (IDS) algorithm. Through analyzing and carrying out several main search algorithms, the center-biased of motion field was taken into consideration in whole process. In addition, IDS algorithm added rough location and enhanced halfway-stop procedures to speed up convergence. Lots of vehicle tracking experiments show that the search performance of IDS algorithm is moderate. Moreover, contrastive experiments prove that IDS algorithm achieves faster search speed, supplying more effective technical support for template matching.

To inquire into the frequent slips and falls in older adults of myasthenic lower extremities in detail, a method was proposed that could analyze the process of slips and falls with the modified peak of required coefficient of friction (RCOF) and the amplitude of the body center of mass (COM). This method can be used to rapidly detect parameters in each gait cycle, and analyze every instantaneous balance status during walking. According to the results, the key point thresholds of slips and falls have been judged and verified and the theoretical groundwork for slips and falls’ gaits has been established. By comparing the experimental data between no myasthenia and myasthenics, myasthenic older people’s gaits became more and more unstable because of the weak ability of neuromuscular control. Because of it, slips and falls more easily occur on myasthenia older people. The experimental data show that the method can well and effectively reveal the process of slips and falls.

Based on product semantics, this paper puts forward an innovative design idea, called “Trademark Simulation”. Following the guidance of product semantics, through the appropriate aided design software of the packaging, the anticounterfeiting structures of liquor packaging have been achieved. Finally, program analysis, evaluation, and related dimensions of semantic computing have been finished. This paper provides a reference for the application of product semantics in the packaging design of specific product and broadens the design ideas.

Considering that the final product manufacturer is the core enterprise of assemble-to-order (ATO) supply chain and quality tracing is used to control the quality of suppliers’ components, a quality control model of ATO supply chain based on quality tracing is established, the theory analysis is conducted, and the best quality control mechanism (including component procurement price, the coefficient of supplier compensation) for the final product manufacturer is therefore obtained, as a result the self-interested supplier would choose the quality level set by the final product manufacturer, whose profit would be maximized.

This paper presents local–global regularizer for transductive binary classification problem. Based upon the neighborhood region, local learning regularizer is constructed to make the label of each data that have the desired property. Global learning regularizer is built to smooth the labels of the data in order to lessen the insufficient training of the local regularizer. To achieve the objective of transductive classification problem, an objective function is constructed by combining together the local learning regularizer, the global learning regularizer, as well as the loss risk term. Thus, the transductive classification approach can be obtained at the end. Comparative classification experiments on some benchmark datasets validate the effectiveness of the presented approach.

In order to improve the prediction accuracy of household savings, this paper puts forward a household savings model based on support vector machine (SVM) and K-fold cross-validation (K-CV). First, it builds the sample of the historical data on household savings. Second, it pretreats the sample data, including normalized and principal component analysis (PCA) dimensionality reduction process. Third, it uses K-CV to select the optimal parameters. Fourth, it uses the best parameters to train the training set data. Finally, it predicts and analyzes the predictive set data and establishes the prediction model. The experimental results show that the prediction method of household savings has a higher accuracy than traditional method and has high generalization ability.

In dealing with the two-class classification problems, the traditional support vector machine (SVM) often cannot achieve good classification accuracy when outliers exist in the training data set. The fuzzy support vector machine (FSVM) can resolve this problem with an appropriate fuzzy membership for each data point. The effect of the outliers can be effectively reduced when the classification problem is solved. In this paper, gray relational analysis (GRA) is employed to search for gray relational grade (GRG) which can be used to describe the relationships between the data attributes and to determine the important samples that significantly influence some defined objectives. A new fuzzy membership function for the FSVM is calculated based on the GRG. This method can distinguish the support vectors and the outliers effectively. Experimental results show that this approach contributes greatly to the reduction of the effect of the outliers and significantly improves the classification accuracy and generalization.

For the problem of multi-labels classification, a multi-labels maximal-margin minimal-volume hypersphere support vector machine (SVM) is proposed by this paper. Use 1-a-r maximal-margin minimal-volume hypersphere SVM to train sub-classifiers, obtain membership vector of the sample to be classified according to the classifiers. At last give the labels that the sample to be classified belongs to according to the membership vector. The experimental results show that the algorithm has higher classification performance compared with the other multi-labels classification algorithms.

This paper described the principle of Support Vector Machine (SVM), analyzed the influence of kernel parameters on its classification performance, and proposed the SVM classification performance fitness function using a new leave-one-out. Due to the Niche Genetic Algorithm (NGA) which avoids the premature situation and better maintains the diversity of solution, shared fitness function is defined based on fitness function with the hamming distance between two individuals. Then, constructed the choice operation, intersect operation, and aberrance operation. Finally, the simulations show that our parameters optimization algorithm is effective and practical, using samples produced by three test methods and in UCI data set.

Techniques called feature extraction and pattern recognition are implemented for nephogram representation and recognition. In this approach, the Gabor wavelets are used to extract features of ground nephograms. The principal component analysis (PCA) is applied on the Gabor transformed matrices to reduce the dimensions of these features. Finally by using these features, we can train support vector machine (SVM) classifiers for classifying cloud types. After finishing training, we can use these trained SVM classifiers to classify these cloud types. During these experiments, we used different Kernels and parameters for comparison. Experiment results indicated that the solution proposed in this paper was able to get a good accurate rate which was higher than the solution using Haar-like features and AdaBoost algorithm.

This paper proposed a new face recognition method based on nonsubsampled contourlet transform (NSCT) and component-based support vector machine (SVM). This approach takes technological advantages of both SVM for classification and the NSCT for facial feature extraction. We named the new method combining the nonsampled contourlet transform and SVM as NSCT-SVM. The experimental results on ORL and MIT-CBCL face database demonstrate that our face recognition method is effective and competitive.

Developed a prediction model based on customers’ feedbacks. Customers’ feedbacks are collected by asking to assign one most suitable class labels to each product sample. After analyzing form feature of product samples and collecting customers’ evaluation data, a fuzzy SVM model is constructed. Two standard kernel functions including polynomial kernel and Gaussian kernel are used and compared their performance. The experimental results show that the performance of Gaussian kernel model is better than polynomial model.

In this paper, we consider the ranking problem of canonical intuitionistic fuzzy numbers. First, the concepts of canonical intuitionistic fuzzy numbers and fuzzy cut sets are defined, and the relation between generalized fuzzy numbers and canonical intuitionistic fuzzy numbers are studied. Next, the concept of Center index and Radius index of canonical intuitionistic fuzzy numbers which based on fuzzy cut sets are introduced, and the ranking index with the degree of optimism of decision maker for canonical intuitionistic fuzzy numbers is defined. Then a new ranking method based on ranking index is developed. Finally, to illustrate the validity of the proposed method, two numerical examples are presented, the results of the numerical examples show that the new method is reasonable and effective.

When the signal in a transform domain is sparse or compressible, it could be projected to low-dimensional vector utilizing measurement matrix. This projection maintains the information required by reconstructing signal. By research about the basic theories for compressed sensing, this article adopted FFT and DWT as the transform matrix Φ respectively, the random matrix as the sampling

φ

, then analyzed the coherence among them in addition to the sparsity of the sampling signals, explored further the ability of the two methods for recovering signals.

Based on linear regression method, the large amount maintenance data of a certain type of vehicle were extracted. The iron content of every engine oil accelerated as the working time grew up linearly. The curve of

K

< 0.87 flattens out, which means the iron content is increasing slowly with the growth of engine working time, and the frequency of changing the lubricant should be cut. The curve of

K

> 0.87 is steep, which means the iron content is increasing rapidly with the growth of engine working time, and the frequency of changing the lubricant should be added.

Quality loss displays the role of importance in production. The less quality loss, the better characteristic of assembly appeared. In order for minimum quality loss, there exists a large amount of optimal models of tolerance allocation. However, the consideration of influence of assembly deformation is not introduced into these models. In aircraft assembly, thin-walled parts are tending to deform, while the parts of this type ubiquity have their existence in aircraft. Because of this, we have to take into account the assembly deformation in optimizing the tolerance allocation scheme. In this paper, we fist analyze the transfer relation of assembly deformation, then construct the optimal model of tolerance allocation with the consideration of assembly deformation and quality loss, finally, a case study of this methodology is introduced to verify this model.

Multiple kernels learning (MKL) is a hot topic in the current kernel machine learning field which aims at find a convexity linear combination of based kernels. Current MKL methods encourage spare kernel coefficients combination, unfortunately, when features encode orthogonal data, spareness tends to select only a few kernels, and may discards useful information which lead to poor generalization performance. In this paper, we presented an efficient multiple kernels learning method based on mix-norm in which sparseness and nonsparseness can be compromised using a mixing regularization. Both SVM and MKL could be regarded as special cases of EMNMKL. Then, we developed a rapid gradient descent algorithm to deal with the problem. Simulation experiment results show that the EMNMKL rapidly converges and the average testing accuracy demonstrates that EMNMKL algorithm clearly outperforms SVM and MKL.

Online shopping in China has been growing rapidly in recent years. This paper examined customers’ motivation to spread review after online shopping. Based on Chinese context and relevant literature research, this paper discussed first the impact of different product attribute, satisfaction degree, and online reputation mechanism on customers’ review spreading intention in China, then built the research model and developed hypotheses. And next, hypotheses were tested by the data from Xidian university students. The result showed that reputation as a top reviewer did not have a significant impact on customers’ intention to spread eWOM, however, high “a helpful review” radio drives a customer to provide eWOM significantly. The results also indicate that dissatisfied feelings and experience attributes drive customers to provide an online review significantly.

In this paper, by bringing in a user defined nonnegative control matrix to form a new objective function, I modify the update rules correspondingly and propose a novel decreasing accelerated gradient descent method for nonnegative matrix factorization (DAGDM) which can make the matrix of the decomposition results achieve sparse. The control matrix also contains the weighting information, which puts different weight on different parts of the result matrix to be produced. This will provide a control interface of nonnegative matrix factorization to make a sparse and light basis matrix. Experimental results demonstrate the effectiveness of the proposed method.

To preserve the symplecticity property, it is natural to require numerical integration of Hamiltonian systems should be symplectic. The most important classes of symplectic methods are symplectic Runge–Kutta methods and variational integrations. Symplectic Euler method and midpoint rule are the most widely used symplectic Runge–Kutta methods, while the most widely used variational integrations are trapezoidal integration and midpoint-type variational integration. For pendulum equation, which is a model of Hamiltonian systems, we propose symplectic Euler method, midpoint scheme, trapezoidal integration, and midpoint-type variational integration of the model in this paper. At last, it will be proved that symplectic Euler method is equivalent to trapezoidal integration, while midpoint scheme is equivalent to midpoint-type variational integration.

The reliability of guns was related to the building of the evaluation index system of guns which decides the probability of success of the action. By using the fuzzy theory and stratification method, the membership function of the reliability of guns was established. It can be used to judge whether the reliability of use of guns can satisfy the action requisition or not, and its application perspective of this method is presented.

In this paper, we make a novel analysis of duplicate genes of Leptospira interrogans serovar Lai, which is widely anthropozoonosis, based on differential equation and RANSAC algorithm. To reduce the impact, evolution Analysis for evolution process is particularly important. Through differential equation and RANSAC algorithm, we compare the rates of the nucleotide substitution at replacement and silent sites. The result shows that early in their history for Leptospira interrogans serovar Lai many gene duplicates experience a phase of relaxed purifying selection, subsequently selection constraint gradually increases and eventually tended to the stability.

In this paper, generalized Laguerre spectral method for ordinary differential equation is proposed, which is very efficient for long-time numerical simulations of dynamical systems. The global convergence of proposed algorithm is proved. Numerical results demonstrate the spectral accuracy of these new approach and coincide well with theoretical analysis.

The main objective of having a team project in the course is to provide students with some experience in working in a team. To ensure the success of team projects, it is important to evenly distribute skills among teams. For an individual team, good intra-team communication is the key to succeed. It is also important to define a fair policy to assess individual team member’s contribution. Further, a quality assurance (QA) plan is essential to enhance student team project experience. This paper intends to share our practice of delivering software team projects with an emphasis on team formation metrics, intra-team communication assessing individual contribution and with a focus on the use QA plan. The paper also presents the common problems occurred within a project team and their proposed solutions. It is anticipated that this work will contribute to research in software team projects and teaching practice in software engineering.

First the paper expounds power quality problems in power grid. According to the characteristics of the steady state component and the transient component, DSP + ARM structure of electric power quality monitor system is designed. Then the paper mainly introduces the signal acquisition (DSP) part of hardware design: The hardware design includes the voltage signal acquisition, Antioxidant aliasing filter circuit design, A/D circuit design, phase-locked frequency circuit design; Finally power quality monitor system is applied in engineering field. Through a period of time to the monitoring data of test analysis found that new power quality monitor can be good to complete the design requirements, the desired effect for users to fully understand the site electrical energy environment provides scientific data.

According to the existent problems of drawing legend in the production of mine-maps, analyzing on the establishment significance of dynamic visualization legend library, this paper puts forward the concept of dynamic visualization legend library, introduces design ideas, key technologies, and implementation process on the establishment of dynamic visualization mine-maps legend library adapting to mining actual situation in the AutoCAD environment using parametric design method on the basis of VBA language. The establishment of dynamic visualization mine-maps legend library is a relatively effective and feasible method on the basis of AutoCAD VBA, it helps to enhance the efficiency of drawing and ensures the quality of drawing, is worth to further promotion of study.

To improve software development efficiency, component-based software development method is investigated. The most important attributes of components are analyzed. Components are divided into two types as basic components and process components; key problems in component specification are presented. We also make a comparison between the component in component-based software development and the object in object-oriented environment, and give out some important items in component based software technology.

In recent years, the data deduplication technology has become a research hotspot. In order to reduce the time and storage space requirements of deduplication technology, we propose a hierarchical deduplication approach which is based on file-level and block-level to eliminate redundant data, and introduce bloom filter (BF) to leach fingerprint to accelerate the search process. In order to further reduce the false positive rate of BF, the concept of bloom filter array (BFA) is applied. The performance results show that this strategy can effectively alleviate the pressure of storage and network transmission, raise the rate of data to be deleted and ensure higher data deduplication speed.

The substitution box (

S

-box) is a very important component of block cryptosystem. In this paper a new method for designing cryptographically key-dependent

S

-boxes using a four-dimensional hyperchaotic Chen system is presented. The results of numerical analysis indicate that all the criteria such as bijection, nonlinearity, SAC, and BIC for designing strong

S

-boxes can be fulfilled, and the

S

-box’s sensitivity to the secret key is also satisfied, showing that the proposed method is also suitable for designing block cipher with dynamic

S

-boxes.

This paper proposes a VIP Customer Service Information Management (VCSIM) system in a clothing retail store based on RFID technology. In the VCSIM system, the VIP customer is identified when she entering the shop through the RFID tag embedded in her VIP card. The hardware equipment and backstage database in the VCSIM system are illustrated in this paper. It then analyzes the VIP customers’ information acquisition and information management functions in the system. Particularly, the realization of automatic customer salutation method using the RFID technology is designed. The proposed RFID-based VCSIM system helps to break away from the traditional mode of “purposeless purchase guide” and avails the customers to experience targeted service with intellectualization and personalization.

With the number of cars increasing sharply, traffic becomes a big problem in our daily life. We may think of solving the problem by analyzing the global position system (GPS) data got from cars, but another problem arises, that is, how we can analyze the large-scale data set. The MapReduce programming model is inspired by Google and targets data-intensive parallel computations. This paper presents the results of the situations of several roads at different time and the trends of traffic in each road, after analyzing the huge database by taking a modified velocity–time integration we proposed and run on the MapReduce parallel model. The experiment results show that the algorithm is effective and efficient and the model is efficient to handle with large-scale data set.

At present, the intelligent residential areas are found throughout the country, people’s security intelligent demand become more and more urgent, the introduction of intelligent means the community security management, is an important problem that must be considered. Combined with practical work experience, the author has discussed a new type of intelligent safety precaution system in this paper.

Tuotuo River region lies in one of the most important metallogenic belts in China—Northwest Sanjiang Metallogenic Belt, thus Tuotuo River region can be of very high metal mineral potential. In this research, multisource data sources including geological, geochemical, geophysical, and remotely sensed images were integrated for mineral potential analysis with GIS technology. Using Weights of Evidence method, the metallogenic potential of this area was studied. Six level I, seven level II and nine level III lead–zinc–silver prospective belts were delineated with 83 % of known mineral deposits in them. Because of the belts’ similar metallogenic condition with known mineral deposits, they form the most promising zones for new mineral deposits, deserving more and adequate attention in future exploration.

This paper, in light of the special geological environment of the remove fall zone of the Three Gorges Reservoir Area and under the premise of thorough consideration of the water influence on the body of disaster, has considered ten typical calculative projects, offered the correspondent load systems acting on the sliding mass, and developed the comprehensive analysis and evaluation system of landslide stability using C++ Builder, which is more convenient and accurate for the analysis and computation of landslide stability, and puts forward a stability evaluation method suitable for the Body of Geological Disaster of Remove Fall Zone in the Three Gorges Reservoir Area.

This article has constructed a travel demand model which groups the tourist total cost of a certain tourist scenic spot based on statistics, instead of using the traditional way to place distances and areas as the dominating factors that influence the tourist demand. However, this method puts the average tourist cost (tourist price) as the chief factor and introduces some other factors that have impacts on the demand of journey to the model, such as tourists’ spendable income, time of journey, etc. Meanwhile, the travel demand function will be solved using the econometric model.

The dangers of liquefied petroleum gas (LPG) have been analyzed. The storage tanks of liquefied petroleum gas have been fixed at 20 m

3

, and the quantitative analysis of boiling liquid expanding vapor explosion occurring in tank discussed by the model. The results showed that when the distance between the target and the fireball is 14.12–22.32 m, there would be no discomfort with long-term exposure; within 8.00–14.12 m there would be slight pain caused but no blisters; during 5.65–8.00 m there would be moderate damage creating first degree burn/10 s, 10 % deaths/1 min; in the range of 4.61–5.65 m there would be more serious wounds (injuries/10 s, 100 % deaths/1 min); and less than 4.61 m there would be deaths (1 % deaths/10 s, 100 % deaths/l min). In addition, the design of the LPG station, which met the requirements of fire protection, was confirmed and could provide design proposals for the spacing between the related constructions.

To improve the further precision of the tidal amplitude factor, it should not only do pretreatment of the superconducting gravity data, but also filter out the further disturbance signal. VAV (Venedikov AP, Amoso J, Vieira R) is new analysis software of solid tide, which used the signal drift model and the iterative method to reject the disturbing signal and it processed the superconducting gravity data Record by National Geodetic Observatory at Wuhan. It manifests that along with increase of iterative time, the mean square deviation of the amplitude factor reduced greatly at the first two or three iterations. MM and MF’s amplitude factor fixes gradually in 1.11 after three iterations. It greatly improves the precision of the amplitude factor and provides a basis for better study the Earth’s interior and geodynamic phenomena.

Three-dimensional TV is expected to be the next revolution in the TV history. They implemented a 3d TV prototype system with real-time acquisition transmission, and 3d display of dynamic scenes. They developed a distributed scalable architecture to manage the high computation and bandwidth demands. 3d display shows high-resolution stereoscopic color images for multiple viewpoints without special glasses. This is first real time end-to-end 3d TV system with enough views and resolution to provide a truly immersive 3d experience. Japan plans to make this futuristic television a commercial reality by 2020 as part of abroad national project that will bring together researchers from the government, technology companies and academia. The targeted “virtual reality” television would allow people to view high definition images in 3d from any angle, in addition to being able to touch and smell the objects being projected upwards from a screen to the floor.

To judge the influence of fire ventilation pressure on ventilation system stability a fume temperature which is the key factor of determining the value of fire ventilation pressure calculation model has been constructed on the basis of combustion theory and thermodynamics. The construction of model adopted the law of conservation of energy, Boussinesq approximation, Newton cooling theory, and Dalton law, which improved the calculation accuracy of the temperature of mine fire fume and fire ventilation pressure. The model can provide reliable underlying data for ventilation network optimization during mine fire.

This article presents a general algorithm for solving cubic TC-B spline curve, and then the expression of the cubic T-B spline. Based on the cubic B-spline basis function, the expression of cubic uniform rational B-spline curve can be derived. Finally, smooth splicing conditions of

G

0

,

G

1

,

G

2

with the cubic T-B spline and cubic uniform rational B-spline are given. The instance has an important application value in the curve and surface modeling.

In the competitive environment of supply chain, the traditional method of inventory management has been unable to meet the needs of enterprise development. In order to solve the problems of supply chain operation efficiency, Vendor managed inventory (VMI) offers new methods. Taking Bosch as a case, the article studied on the concrete implementation of the VMI and the proceeds in China’s manufacturing industry, and had come to the conclusion that the VMI can improve the competitiveness of enterprises.

China’s old bridge has a large number of accidents. So health monitoring of bridges is very important. The current bridge is usually detected in the bridge on the scaffold or suspension of personnel to the bridge bottom artificial detection. These methods have enclosed bridge caused by traffic inconvenience, testing personnel security risks, low work efficiency, large equipment, high cost and problems. In order to overcome the traditional shortcomings of bridge detection method, the project to “fast bridge detection vehicle” “bridge detection vehicle mechanical arm” “intelligent control bridge vehicle detection device”. “Bridge detection vehicle support system” and a number of patented technology for the research base, research and development of a bridge health intelligent detecting vehicle. The testing vehicle is in the truck cab mounted computer, in Van right mounting support system (rollover). In the bottom plate of the carriage of the mounting base is arranged on the base, a mechanical arm.

This paper applies the contribution calculation model to calculate and analyze the contribution of industrial structure adjustment to unit GDP energy consumption. The result shows that industrial structure adjustment has not caused the unit GDP energy consumption to drop, instead it has created the rise function. Therefore, the government must speed up the industry internal structure adjustment step and take the new industrialization development path, meanwhile, develop the tertiary industry vigorously and enhance service industry proportion, promote industrial structure optimization, and advance positively structure energy conservation in Henan province.

In order to improve the crushing soil effect of potato harvester, a vibration-type digging shovel with the amplitude and frequency adjustable was designed. The kinematic analysis of this vibration digging shovel was performed. A virtual prototyping model was established based on Solid Works and ADAMS software, and mechanical-hydraulic co-simulation was conducted in ADAMS. The virtual test results showed that: the amplitude of digging shovel was directly proportional to the system pressure; at constant system pressure, amplitude was inversely proportional to frequency; the maximum pressure value of the shovel on soil mass was lower than the breaking strength of potatoes.

This paper introduces a novel perspective to analyze the mechanism of competition or cooperation based on the pricing game. Through the game analysis of price competition based on incomplete information Cournot model, we found that the cooperation strategy seems to be the better equilibrium of game for the oligopolies in those industrial clusters. In simplified situations of pricing competition game in some industrial clusters, we can argue that those industrial clusters contain more than two oligopolistic enterprises, which can more possibly choose the cooperation strategies for the same consideration of the interests. Then this paper partly explains the tacit behaviors among oligopolistic enterprises of industrial clusters becoming more and more pervasive.

This essay summarized the service features of small- and medium-sized Institutes and planned the solutions of information product data management which is suitable for the development of Institute. It established the product data management structure of small- and medium-sized Institute, and the general framework of product data center. On the basis of this, by standardizing the template of product parts and components, documents, processes signing and control changing, the product development can be ensured to run based on the norm mode of product data management system. Thus, the aim is to standardize the design process, unify data sources, shorten product design period, and improve the innovation capacity of R&D.

The university library must adapt to new forms for faster and better development. Innovation must play an important in university library management. This paper discusses the library management innovation, introduces library management knowledge, analyzes the influence factors of library management, expounds the necessity of library management innovation, improves the management for innovation, and puts forward to improve the innovation of library management ideas and measures, so as to make the library management level of ascension of the whole, implementation spans type develops.

Aiming at solving the problem of information dispersed, hysteresis even lost in the process of aircraft ground concentrated de-icing which reduces the efficiency and safety of aircraft ground de-icing. A multi-information integration system of the whole process of the aircraft ground concentrated de-icing is designed in this paper, which describes the architecture and the function of the information integration system, proposes the hardware structure and implementation of software of the database server and the monitoring terminal. The experimental results show that the system can collect and show the information of the whole process of aircraft ground de-icing properly and provide an efficient monitoring platform for aircraft ground concentrated de-icing.

This paper puts forward a scientific industrial design method-oriented user experience (UE). Combined with investigation and UE relative theory, this thesis considers industrial design knowledge composed of five layers such as strategy, value, structure, framework, and representation. This hierarchical relationship is a mechanism of top–down decision from concepts to details. Due to delivery of knowledge among layers, the system of knowledge nodes is built. Through knowledge input and output in each node, the resolution of industrial design gradually becomes clear. With the study of practical application, the hierarchical knowledge mechanism-oriented UE efficiently comprehends and reuses valuable information and easily finds out product innovation gap.