Proceedings of 2nd International Conference on Intelligent Computing and Applications

Bundled single-wall carbon nanotube (SWCNT) interconnects have been investigated as one of the prominent replacements to copper interconnects in nano-scale regime. This paper investigates the performance of SWCNT bundle interconnect using current-mode signaling (CMS) scheme. Time-domain analytical model is derived for CMS SWCNT bundle interconnects using finite-difference time-domain (FDTD) technique. This model for the first time accurately considers the CMOS gate driver in its analytical FDTD formulation for CMS SWCNT bundle interconnects. The performance of CMS SWCNT bundle interconnect is compared with the conventional CMS copper interconnects. It is investigated that CMS SWCNT bundle interconnects have lower propagation delay than CMS copper interconnects.

This paper deals with frequency and stability response of single wall carbon nanotube bundle (SWB) and multiwall carbon nanotube bundle (MWB) at global interconnect lengths. The performance of SWB and MWB interconnects are analyzed using driver-interconnect-load system. It is analyzed that MWB interconnects are more stable than SWB interconnects. It is illustrated that stability of both SWB and MWB interconnects increases with increase in interconnect length. The analytical model for stability and frequency response using ABCD matrix has been formulated. Using frequency response, it is observed that the bandwidth of SWB and MWB interconnects are 7.94 and 22.2 GHz respectively for an interconnect length of 500 µm. The results are verified using SPICE simulations. The time delay analysis has been performed for different interconnect lengths. Further, it is investigated that delay reduces with increasing number of shells in MWB interconnect.

This paper presents a distributed algorithm for assembling a swarm of autonomous mobile robots on a common boundary of a given polygonal region in presence of opaque horizontal line obstacles. Robots and obstacles are initially scattered in an unknown environment and they do not have direct communication among themselves. The algorithm guarantees successful assembling of all the robots on the left boundary of the given region within finite amount of time and without facing any collision during their movement. The intermediate distances among the assembled robots are not fixed. In this proposed algorithm, the robots follow the basic Wait-Observe-Compute-Move model together with the Full-Compass and Synchronous/Semi-synchronous timing models.

In the field of wireless networks, Mobile Ad hoc Network (MANET) is one of the most unique applications due to mobility and scalability. As it is vulnerable to malicious attackers with the open medium and wide distribution, network performance is degraded with the behavior attacks in MANET’s, which makes protection most important. In any ad hoc networks, one of the situations is that, when a data distributor possesses sensitive data destined to a set of supposedly trusted parties, some data can be leaked at an authorized place. With the introduction of fake objects the data allocation strategies gives a path in identifying leakages ensuring more security with encryption. In this context, light weight system is proposed to characterize the data loss and to minimize the performance degradation in such networks. The light weight system includes the concept of cryptography and routing protocol implementation at different stages of data transfer. A social network is taken as a challenging issue to achieve the proposed scheme.

In this fast growing world, there is a great demand for multimedia applications in WiMAX networks. To fulfill this demand, the network should be capable of handling QoS of traffic. Hence, we are predicting the QoS of traffic in the network. This is a prediction based problem. To solve this problem, we have applied two algorithms, namely, Response Surface Methodology (RSM) and Radial Basis Function Neural Network (RBFNN) on two different applications, namely, CBR based traffic and file transfer applications. From the experiment, we have observed that RBFNN performs better than RSM.

Rigorous research on gene expression analysis comparing the expression samples over normal and diseased states has helped us in understanding the pattern of various diseases. To gain better insight some state of the art methodologies goes a step beyond through exploration of differential co-expression patterns, where the co-expression level between genes alters across different states. In our work we have utilized a recently published concept which frames up a probabilistic score for differential correlation to detect differentially co-expressed genes modules. Our contribution lies in implementing the probabilistic differential correlation score for the identification of significantly paired gene networks possessing extremely dissimilar regulatory actions across multiple diseases. This has been tested upon differential gene expression profiles of genes present in a set of neurodegenerative diseases. Our investigation gets more interesting testing the impact of not only common (among multiple disease sets) differentially expressed genes but the revealing role of mutually exclusive disease specific gene sets in the spreading of diseases. Hence, we can explore through the fruitful aspects of our work scrutinizing the disease specific problem.

The regulatory action of a gene in a complex network is guided by the differential functionalities of the gene acting under varied conditions. Many methodologies have been proposed in recent years to unveil this regulation. However in this context the gene ranking obtained via separate methodologies according to their significance is quite dissimilar to one another making regulatory assessment of genes very difficult. In this paper, we have developed a novel procedure to compute significant genes using more than one ranking strategy. Accordingly, we have explored this idea applying the concept of non-dominated set of solutions residing in different Pareto optimal fronts. Our main objective is to find a set of non-dominated genes in the primary Pareto front each of which having an optimal combination of significant ranking across different ranking algorithms. In the results we have shown that most of the KEGG pathways formed from the set of DE genes contain at most two genes from the non-dominated set. This helps us to understand the independent regulatory function of a gene from the non-dominated set with the set of dominated genes. In other words, the existence of enriched control pathways with significant ranked genes non-dominant to one another is almost absent.

Discourse connectives signal the relationship between two coherent spans of text. Arguments of connective are the text spans in discourse. Discourse relations link clauses in text and compose overall text structure. Discourse connectives play an important role for modeling the Malayalam discourse and its structure. We present our work on rule based approach for identifying the discourse connective in Malayalam language. Discourse connectives may or may not be explicitly present in the relation. In our work, we have focused on the rule based approach for the identification of particular connective in Malayalam text and showed encouraging results.

Today, consistent data exchange between engineering applications such as special purpose machines, Manufacturing Execution Systems (MES) and Enterprise Resource Planning (ERP) systems is indispensable for efficient, error free planning and operation of plant and equipment. The approach towards Industry 4.0 Studio (I4.0)—an integration project, integrates value creation chains horizontally and processes and systems vertically. Hence the customers are indirectly benefitted with standardized and reliable better quality products within specified time at affordable cost. This paper illustrates the development of a MES system through high-level understanding process with the aid of concrete examples of functioning automation and IT delivery teams together to ensure success for the approach towards smart factory or I4.0.

Cloud computing is a new methodology that is used in several organizations and enterprises. It supports immediate provisioning of network access and also shares data to a pool of computing resources on the basis of paying for resource usage. In today trend, providing trust resources has become a problem but it is not a technical issue. Perhaps the technology can enhance trust, reliability, credibility and surety in internet services. In order to increase the use of Web and cloud services, cloud service providers must first enhance trust and security among the enormous amount of users. These issues are addressed by a reputation-based trust-management scheme augmented with trust broker, hybrid and adaptive credibility model, maximizing deviation method, cloud security framework. Trust broker serves as middleware which lies between operating system and applications and it is user effectively matching trusted service resources. Using hybrid trust computing model can calculate the trust degree of service resources and adaptive credibility model that differentiates between credible trust feedbacks and malicious and vulnerable feedbacks. Maximizing deviation method can gain users experiences on using the services by direct interaction and networking risk can be reduced rigorously and efficiency of the system can be improved using light weight mechanism.

The aim of this study is to find out the conceptual framework for urban greenery planning. The present investigation proposes a GIS based model which will summarizes a strategy for supplying the ecosystem services for urban area through the required planning process. The proposed model acts as a decision support system for local government by providing suggestion of best suitable tree on particular location with their description to help the environment and human health. The model will also allow easier adaptation for Local Government and for other similar communities wishing to implement standard policies for Green City/Green India programs. The study area chosen is Ganesh Nagar of Nanded city.

Rheumatoid arthritis is a chronic autoimmune disorder which affects the multiple joints especially small joints in hands and feet of both the sides of the body. Even though modern imaging techniques such as MRI, PET, SPECT, color Doppler ultrasound was used to quantify the inflammatory conditions of RA, radiograph was considered as the gold standard technique in evaluation of RA. The aim and objective of the study were given as follows (i) to perform an automated segmentation of hand from the radiograph using DTCWT based watershed algorithm; (ii) to compare the measured statistical features of the joint space of the hand using GLCM method, and (iii) to perform feed forward back propagation network for classification of subjects into RA and normal with high accuracy. The dual tree complex wavelet transform based watershed algorithm was found to be satisfactory in segmenting the hand automatically using the digitized radiograph. The feed forward BPN network was utilized for the classification of subjects into normal and RA patients from statistical features (total inputs, n = 45) extracted from hand X-ray image. The calculated accuracy of the classifier was found to be 95.7 %, whereas its sensitivity and specificity was found to be 88.2 and 98.1 % respectively. When both the statistical features as well as geometric features (total inputs, n = 53) were used in the feed forward BPN network, it was found that accuracy was 92.9 %, whereas its sensitivity and specificity were found to be 82.4 and 96.2 % respectively.

Automation has become an important part of our life. It has been used to control home entertainment systems and household activities. One of the main parameters to control in a smart home is the atmospheric comfort. Atmospheric comfort mainly includes temperature and relative humidity. In homes, the desired temperature of different rooms varies from 20 to 25 °C and relative humidity is around 50 %. Hence, automated measurement of these parameters to ensure comfort assumes significance. To achieve this, a fuzzy logic controller using Arduino was developed using MATLAB. In the present work, soft sensor was introduced in this system that can indirectly measure temperature and humidity and can be used for processing several measurements. The Sugeno method was used in the soft sensor in MATLAB and then interfaced to the Arduino, which is again interfaced to the temperature and humidity sensor DHT11. The comfort sensor developed was able to measure temperature and relative humidity correctly. Depending on the comfort percentage, the air conditioners and the coolers in the room were controlled. The main highlight of the project is its cost efficiency.

With the expansion of cities and conversion of rural to urban areas, one of the most fundamental requirements is the installation of street-lighting. However with increased expansion, this also creates an extra load requirement that is not easily met by existing grid systems. This puts an undue stress on power production. A solution to this issue is proposed by a hybrid self-sustained solution for street lighting. This makes use of wind and solar energy. The focus of this paper is the fused converter topology used in our solution.

In the process of visual recognition, the human visual system (HVS) model provides a pathway on evaluating the image quality and there by detecting the performance of the human observer. Squint eye is the term associated with the misalignment in projection of the eye and hence provides binocular vision. Mathematical modeling of retina plays a vital role to produce better visual perception. The main aim of this work is to develop an HVS (human visual system) model for detecting the perceptual level of people with strabismus (squint). People with normal vision is capable of perceiving as one single image when the image falls on the retina. The situation is not the same in case of people with strabismus. One of the main symptoms of strabismus people is double vision, which is the simultaneous perception of two images of a single object. This paper focuses on the mathematical modeling of retinal layers namely photoreceptor, outer-plexiform and inner-plexiform layers and to provide an insight knowledge on the occurrence of double vision in the case of people with strabismus (medical term used for squint eye). It is proved through the proposed model that the energy level of normal vision person is higher than people with strabismus and the intensity level is approximately the same after processing through the photoreceptor layer.

The speckle noise shows more impact on the performance of the radar image while deciding the objects. The objective of despeckling is to remove speckles from the SAR image, to represent a noise-free image and maintain all significant features like textures, region borders etc. The objective of the work is to investigate on the spatial domain and transform domain despeckling methods and how far the speckle can be removed and how far the texture details can be maintained. The proposed approach aims to despeckle the speckle noise to the possible extent while preserving the edge characteristics. The major concentration of the research work is on the Indian microwave imagery. RISAT-1 (RADAR Imaging Satellite) is the first and only Indian microwave active mode satellite that is capable of operating all the day and in all weather conditions even during cloudy times. It is a C-band radar mainly designed for monitoring and analyzing the agriculture.

In this paper, the morphological analysis of breast cancer detection is been discussed. The various parameters like area, perimeter and diameter of the tumor are found using modified Adaptive Fuzzy C means and modified region growing algorithm. This method of analysis is used for effective identification of different parameters that helps in easy diagnosis of cancer at various stages also adapting suitable and earlier therapeutic techniques.

In recent days, P2P networks have become the main focus of research in the field of communication. A P2P network is a dynamic open network that connects devices over the edge of internet and hence invites the operations of malicious nodes, which has lead the need to focus on security issues in these type of networks. Our ultimate aim is to improve the file sharing system with reduced file searching cost and delay. MANET’s are dynamic networks in which the nodes constantly move from one location to another which leads to the formation of disconnected networks. This paper proposes a file transfer mechanism for such type of disconnected networks by using the information obtained from the nodes regarding file searching and also provides a better security for the data in the file being transferred among the peers.

This paper presents the efficient contribution of Particle Swarm Optimization (PSO) to select the optimal location and the optimal parameters setting of Unified Power Flow Controller (UPFC) which minimize the active power losses and improve the voltage stability in the power network. UPFC is the most promising FACTS devices for power flow control. The simulations are run on the IEEE 14 bus system to validate the proposed technique. The results shows that the optimal placement and parameter setting of FACTS device.

The uniqueness of fingerprint provides a secured personal identification mark. Contact less acquisition of fingerprints is gaining popularity due to the ease in capturing the image. They can be easily blurred with noise and distortion. This paper defines filtering techniques in removal of noise and distortion from the blurred images. The paper highlights double enhancing method for image clarity and extraction of true minutiae points which are tabulated and analyzed.

The multi-application antenna is proposed for Bluetooth, Wi-Fi and Wi-max. The design is used for three different frequencies 2.45, 5 and 7 GHz. As a substrate material RT_Duroid 6006 is used. Antenna is designed by placing two slots in rectangular patch, so three dipoles are obtained. The simulation is done for this antenna by changing the length and width of three dipoles. The results shows that rectangular patch antenna with two slots offers return loss ≤10 dB with the input feed 50 Ω. The proposed antenna can be used in indoor distributed antenna systems, such as Bluetooth, Wi-Fi and Wi-max. This patch antenna was designed and simulated by ADS software. ADS supports of the design process—Engineer can characterize schematic capture, frequency and time-domain simulation, layout, and electromagnetic field simulation, allow engineer to characterize and RF design with common tool.

Voltage stability is a relevant problem in power system as far as congestion management is concerned. Ranking is calculated using the line voltage stability index. All the system buses have been loaded one by one up-to maximum load-ability limit and maximum load-ability limit is based on voltage stability index. The bus having least maximum load-ability has been considered as weakest bus of the system. This bus may be considered as the optimal location for the placement of a FACTS Device. The amount of reactive power to be injected will be considered in the further work. The proposed congestion management has been tested on standard IEEE 14-bus and 30-bus transmission test system and a real time 24-bus Indian transmission system.

This paper presents a cultivation control system on wireless sensor network using fuzzy logic approach. The system is controlled with the use of a sprinkler for moisture and lamp for sunlight and fan for temperature. The wireless sensor network consists of temperature, sunlight and moisture sensors directly connected to a microcontroller (Arduino). The signals obtained from these sensors are converted as digital data by the microcontroller before transmitted on air via both X-bee radio modules (Compatible with Zigbee and IEEE 802.15.4) to a tiny computer (Raspberry Pi2). Finally, the digital data is analyzed based on Fuzzy logic on the Linux Operation System (OS) of the Raspberry Pi2 and the generated output signals are used to control the fan, sprinkler and lamp to decrease or increase the levels of temperature, moisture and sunlight respectively.

Reducing the number of switches in multilevel inverter topologies is drawing incredible interest in renewable energy, motor drive and reactive power compensation applications. This paper focuses on the simulation of a seven level inverter with reduced number of switches. The seven level inverter is based on transistor clamped topology consisting of a single H-bridge inverter with two IGBT switches between two diode bridges. Triple reference single carrier modulation technique is adopted to generate gating pulses for the seven level multilevel inverter with reduced switches. Using this modulation technique, output voltage, output current and voltage stress across the switches are obtained for a modulation index of 0.9 and 1.25. The total harmonic distortion obtained for the various values of modulation index is presented. In addition, a comparison is established with a seven level cascaded H-Bridge inverter with respect to complexity of the circuit topology and total harmonic distortion. Results are obtained and observed using simulations done through MATLAB Simulink simulation tool.

This paper mainly focuses on the comparative analysis of Power Spectral Density (PSD) and harmonics between Boost Two-Level Inverter (BTLI) and Multi String Hybrid Capacitor Clamped Multilevel Converter (MSHCCMLC) configurations. Compared with conventional BTLI, the proposed system employs the reduction of harmonics and PSD. Maximum utilization of solar power is achieved through Maximum Power Point Tracking (MPPT) control mechanism. Modified Sinusoidal Pulse Width Modulation (MSPWM) scheme is adopted to attain better quality of output power. The proposed MSHCCMLC requires small LC filter component at the inverter end which makes the system more effective. Simulation and hardware models of 5-level Hybrid Multilevel Converter (HMLC) are developed and the system performances are validated.

A common home consists of some electrical loads such as lighting, laundry appliances, kitchen appliances, climate control equipment, entertainment devices, etc. All devices consume lots of electric power in spite of being on their standby mode. In this chapter, programmable smart plugs with bundled ZigBee (IEEE 802.15.4) are introduced without the need of replacing the present appliances. The implemented software allows programming, controlling and real-time monitoring over TCP/IP platform. Furthermore, an energy management system with smart plugs is also proposed in the system framework to efficiently utilize the energy consumption.

A Gerotor pump is a positive displacement pump which will deliver a predetermined quantity of fluid in proportion to speed. The main advantages of this pump are: (i) having only two moving parts, (ii) high speed operation, (iii) constant flow rate. The outer and inner rotor profiles are formed by epicycloids and hypocycloids and by using the inter relationship between the outer rotor and inner rotor. The span angle design of tooth profile affect the motion and pumping performance of the Gerotor pump. The rotor profiles are built using the mathematical models and CFD Analysis was conducted for various span angle designs using ANSYS CFX. The overall fluid analysis gives the fluid behavior inside the pump. In this paper, the various flow characteristics are analyzed for different span angle designs of Gerotor pump.

This describes a parallel adder. It is related to a repetitive formulation for doing multi bit binary summation. This is operation is easier for the bits which does not require carry generation. Thus, the design achieves drastic speed over alternate operand conditions without any special speedup block or look-ahead schema. A complete execution is generated along with a detection unit. This accomplishes common and does not have any limitations of high fan outs. A high fan-in gate is required but this is not necessary for asynchronous logic and is connected by the transistors in parallel. Simulations have been performed using a DSCH and Micro Wind tool that validates the practicality and superiority of the proposed design over existing asynchronous adders.

In order to achieve a safe and traffic free transportation from place to place it is mandatory that a vehicle should communicate with other vehicles autonomously to control their speed and movement. Fuzzy logic control architecture which is placed in the vehicle has been designed to take appropriate decision based on the various parameters inside the vehicle. Number of input and output parameters and rules of operation can be varied easily in the fuzzy logic toolbox in MATLAB. The output will be sent to the micro-controller using RS232 serial communication. Now the micro-controller will take the appropriate action to execute the command received. So in order to communicate with other vehicle we have used GPS receiver which will transmit the current position of the vehicle to nearby vehicle ranging within 30 or 100 m using Zigbee communication in a common transmission frequency. If there is any vehicles present in this range it will accept and communicate back by sending the corresponding GPS location of that vehicle and the path of its course. If it is found to be moving on the same direction or path a communication with the vehicle will be established and data will be transmitted among them to achieve the safe and smooth traffic travel to increase the vehicle efficiency. The same rules will apply if there is more than one vehicle is present in the transmitting range. All these transmitting data will be privacy protected. We have successfully controlled prototype model and found that architecture is working autonomously up to the expectation and provides efficient travel for the vehicle.

In a real time network scenario, online social networks (OSN) play a significant role in connecting and growing business and technology. This technology gathers much information and share secret data among network. This attitude gives the intruders to exploit the original information. This paper contributes for major widely spread and critical OSN vulnerability. XSS, popularly noted as a one-click attack or session riding attack which is the most common malicious attack that exploits the trust that a site has in a user’s browser. Proposed method is a XSS attack detection mechanism for the client side. It focuses on the matching of parameters and values present in a suspected request with a form’s input fields and values that are being displayed on a webpage. Next to address concerns of offensive content over Internet. The proposed method analyzes the social network features integrating with textual features improving the accuracy of automatic detection of XSS.

Power quality is of vital concern in the consumer and utility side problems like voltage sag, voltage swell and harmonics can cause malfunctioning of the end user equipment. To mitigating these problems a working model of an Interline Dynamic Voltage Restorer (IDVR), which maintains voltage of two or more feeders simultaneously is presented here. In this research instead of using conventional topology for the inverter, a Voltage Fed-Switched Coupled Inductor Inverter (VF-SCII) is proposed. A controller of Artificial Neural Network (ANN) strategy with PI controller is implemented for generating PWM signals. The model is simulated using MATLAB-SIMULINK and the results are discussed in detail.

This paper reveals the impact of Distribution Generator (DG) present in electrical force circulation systems by taking IEEE 14 bus system as proposed frameworks. The investigation carried out is to inspect the impact on the general framework misfortunes and voltage profile. The point behind this study is to acquire the optimal area and entrance level of the new DG unit with a specific end goal to diminish the misfortunes and to upgrade the voltage profile. Genetic Algorithm is one the imperative stream of science and currently it is considered as most sweltering examination zone. Proficient techniques and advances are profoundly required to lessen the estimations and perform the operations in exact way. The force framework is extremely a recondite subject so that there is a need of ideal arrangements with which the framework gets to be upgraded and be prudent by taking care of complex issue. There are numerous advantages to introduce a DG in the framework to do complex count in arriving the size and the arrangement of DG. The estimation of ideal size and area of DG for a disseminated framework is the essential motivation behind this paper.

Energy plays a important role in all day to day activities, especially those that are energy intensive. An Energy audit plays a major role in reduction of new power generation. It can help us to determine the energy wasting deficiencies in homes, firms, factories, industries and can show exactly how to address these problems. A detailed study to establish and investigate optimal utilization of lighting for specific department has been carried out in this work. The energy audit of University library has been executed with formulated procedure and proposed recommendation. The suggested implementation can improve the energy efficiency of library and thereby reducing the energy wastage.

The power consumers of the modern world start to think about the concept of “Right appliance to the Right usage”. Nationally now there is an unbridgeable gap between electricity generation capacity and the ever raising demand. The electrical energy audit is paving the way to conserve electrical energy by the way of analyzing and adopting the standards without any major investments. Energy saving of up to 80 % can be achieved by modernizing our lighting system by installing an intelligent light management system with day light triggered dimming function and occupancy sensors. By professionally restructuring the process flow cycle, lighting system, etc. more beneficial results can be achieved in industrial establishments too. Indeed electric power is precious energy which involves the generation, transmission and distribution of energy to the consumer via cumbersome process. So the question of monitoring its usage is affirmative on every single unit. Nowadays an audit in electric sector has become a mandatory requirement especially for large consumers. In the proposed project the audit was conducted in university office in prime two stages. The first stage dealt with wastage audit and second with detailed electrical energy audit. The necessary recommendation is suggested for optimal savings of energy in university office.

As there is a power shortage across any country, usage of renewable energy sources is being encouraged nowadays. This energy produced has to be properly synchronized with the grid to ensure safety and energy continuity. In this paper, the standard procedure for grid interconnection is discussed and the impact of not following the procedure is shown using the voltage and current waveforms. Later a step by step procedure for designing a MPPT algorithm based PV generation system connecting to the grid is developed. The developed system feeds a common load, as the micro grid systems feeds the local loads. The system takes care of all the specified guidelines while feeding the load, which is proved by using the voltage and current waveforms. Therefore this paper acts as guide in developing renewable energy based grid connected system.

This paper presents an energy management system with reduced energy consumption as well as to look for alternative sources of energy which are cheaper to minimize the total cost of energy consumption. A cluster of interconnected price-responsive demands (e.g., a college campus) that is supplied by the main grid and a stochastic distributed energy resources (DER) e.g., a wind and solar power plants with energy storage facilities is considered. An energy management system (EMS) arranges the value responsive requests inside of the bunch and gives the interface to vitality exchanging between the requests and the suppliers, primary lattice and DER. Vitality administration calculation permits the bunch of requests to purchase, store and offer vitality at suitable times. To solve this EMS problem, an optimization algorithm base on linear programming (LP) approach has been implemented. Toward estimate the performance of the planned algorithm an IEEE 14 bus system was consider. The outcome show with the purpose of the group of load of energy management system with the planned approach increases the effectiveness by minimizing the losses while compared to existing method. Improvement in the method is the optimization problem having two sources vulnerability identified with both the generation level of the DER and the cost of the vitality acquired from/sold to the fundamental network, which is demonstrated utilizing robust optimization (RO) procedures. Shrewd grid (SG) innovation is utilized to acknowledge 2-route correspondence between the EMS and the primary lattice and between the EMS and DER.

The powertrain is an integral part in any vehicle and this article addresses powertrain design for an Electric Vehicle emphasising on cost effective range extension by coupling a gearbox with the electric motor thereby, reducing the torque requirement on the motor in turn reducing the battery capacity.

The paper is aimed at reviewing the existing trends of UAV sensors and brings out innovation in the operation of each UAV sensor for increased capability in performance. It is well known that unmanned aerial vehicles (UAVs) play a major role in defense as replacements for manned aircraft tasks such as surveillance, Electronic warfare, reconnaissance and evaluation of the targets of enemy. Besides the defense application, they are pleasingly in demand in civilian application of disaster management. This paper brings out increase in current growth of UAV by research specially in performing different operational missions by the inclusion of imaging and non-imaging sensors. The objective of this research is to prevent the modified versions of the imaging sensors of TV and infrared sensors located in precision painting systems and synthetic aperture radar and non imaging sensor like electronic surveillance and increase their operational capabilities.

In the present scenario, the world is dependent upon the ways to conserve electrical energy in an effective manner with less cost investment in India. The demand that is lagging in the year 2016–2017 is 300 GW. It is seen that day by day the demand is increasing the government is behind the generation part but conservation is very much essential to reduce the demand in an effective manner, looking over this scenario an initiative has been taken in our University to conduct electrical energy audit and management in an effective manner to reduce the demand and save 10 MW generation in 10 years. The initial work was started under the vision MGR-VISION 10MW which was inaugurated in our University. The team has completed audit in 25 residential flats, 2 commercial building and 2 industries so far. This paper delivers a lighting layout for a commercial building in which it consist of six floor. Lighting layout of one particular floor is done with electrical energy audit and energy management. The recommendations for the benefits of implementation with breakeven chart are given to reduce the consumption in an effective manner. Recommendation for usage of renewable energy is given so as to reduce the consumption to reduce demand and save electrical utilization bills.

In this paper a Dynamic Matric Control (DMC) and Receding Horizon Control (RHC) are designed for unconstrained SISO process. These MPC variants are then simulated for a conical tank system to control the level. A first order process with dead time model for conical tank is used for simulation. The response obtained for both methods are then compared and discussed in this paper.

This article proposes an advanced converter technique that integrates all major ports in that double unidirectional source port, one battery port for (charging and discharging), and a single ideal power consumption port (load port). A new multi-port DC-DC power converter is developed when added to a pair of semi conducting switches and a pair of PN junction diodes to a basic half bridge (HB) converter circuit. Zero voltage conduction (ZVC) is performed on every major switch. This technique is implemented for savings huge number of component count and to reduced losses obtained from renewable energy applications.

In the human race, 70 % of energy is devoured by electric motors. This rate may be expanded because of the growth of power electronic devices and the fast advancement of automation technology. Most assembling units overall depend on electric motors for their generation, therefore highlighting the requirement for a viable speed control motors to build creation. It is underlined power electronic devices innovation has encountered a dynamic improvement in the previous four decades. As of late, its applications are quick growing in modern, business, private, transportation, utility, aviation and military situations, principally because of the lessening of expense, size, and performance enhancement. Soft computing techniques, especially the neural systems are having as of late huge effect on electrical drives and power devices. Neural systems have created another new edge and development power devices, that is currently a fancy and multidisciplinary innovation that goes through the dynamic improvement as lately. In this article, the significance of power hardware, the late advances in power semiconductor devices, converters, AC motors with variable frequency, the dawn of microprocessors/microcontrollers/microcomputers permitted to actualize and these control methods will be discussed briefly.

This paper presents a series connected custom power device (CPD) called transformer less dynamic voltage restorer (DVR) is used to protect sensitive loads in the load side by mitigating power quality problems present in the source side or at the point of common coupling (PCC). Series connected three single phase voltage source inverter (VSI) with filter design makes transformer less DVR to achieve desired load voltage magnitude with smooth sinusoidal waveform. Hysteresis controller is used for generating pulses for the VSI present in the Transformer less DVR and the error signal is generated by using combined Clark’s and Park’s transformation technique. The performance analysis of the transformer less DVR is verified using the MATLAB/SIMULINK software.

An open coil and closed coil helical springs works usually under critical conditions due to the continuous variations of load acting on the top surface. The analysis of an open coil and closed coil helical springs of an automobile clutches are carried out in ‘ANSYS’ software and the experimental study has been conducted for different load conditions. The various parameters like total deformation, stress intensity, strain energy and equivalent von-misses stress are considered for study. An experiment has been carried out for total deformation of an open and closed coil helical springs at various loads like 500, 1000 and 1500 N. The experimental results shows a good agreement for the simulation results. The results shows that the performance of an open coil helical spring is good compared with closed coil helical spring.

Voltage instability and over voltage are one of the main problems in today wind industry. In wind power production system the output is depends upon the nature of source called wind. But that source is not constant one. It may be varying depending upon the climate. Due to that oscillation the output voltage from the generator side is instability. These problems are becoming a more serious concern with the ever-increasing utilization and higher loading of existing transmission systems, particularly with increasing energy wastage, energy demands, and competitive generation and supply requirements. Our aim is to improve power system voltage stability by enhancing generator reactive, active power control and voltage control. Adaptive feedback system along with the HSVC ways to improve power system voltage stability by enhancing generator controls in the wind power station. To solve this problem adaptive exciter system are used which will adjust the load voltage and the system voltage with that of the reference voltage. The generator output voltage is applied to the adaptive exciter controller (AEC) which updates its stability weight value on demand. The design of modules can be done in Xilinx system generator (XSG). The modules that are designed in system generator can be implemented in FPGA.

In this paper, a high efficiency interleaved flyback (IFB) converter is proposed for photovoltaic (PV) electric power generation. An incremental conductance (INC) based maximum power point tracking (MPPT) algorithm is implemented for the proposed PV system to maximize the output power extracted from the PV array. Among the isolated converter topologies, flyback converter is selected for its simple configuration and low cost. It is also the most popular isolated converter used in low power, electronic applications. Interleaving technique is applied for the flyback converters in order to reduce the input current and output voltage ripples, and to increase the efficiency. A 100 W prototype is developed and tested. The simulation and experimental results obtained for different irradiations validate the effectiveness of proposed converter for the PV applications.

This paper analyses an optimum Total Harmonic Distortion (THD) value for multilevel inverters using Hybrid Particle Swarm Optimization Algorithm (HPSO). The proposed paper instigates an algorithm which supersedes the conventional algorithms in finding out an optimum global value. The prime objective of this paper is to reduce the THD value of the Asymmetric H-bridge multilevel inverters by choosing appropriate values from the inequality constraints. The proposed algorithm is simulated for an 11-level H bridge inverter using matlab 2014 version software. The results interpreted seemed to have a satisfactory higher order harmonic elimination compared to the conventional methods.

The Big Data is a Buzzword, which is being generated from various sources in and around in our daily life. Big data is the conjunction of big transactional data i.e. relational data base system, users activities huge data e.g. face book, twitter, LinkedIn, web logs, scanned, sensor devices, mails, and big data processing. The four striking characteristics of Big Data are volume, variety, velocity and veracity. Big data analytics refers to the process of gathering, arranging and analyzing huge data set to uncover the hidden knowledge that enables us to take effective and efficient decision making. The source data mostly may contain heterogeneity, noise, outliers, missing values and inconsistency. The poor source data can produce poor quality of analytical results. Traditional data processing system does not resolve these problems. The proposed data integration frame work with NoSQL technology could resolve integration, transformation, inconsistencies, noise challenges in big data.

A large percentage of ailment related death today is attributed to coronary heart disease (CHD). Due to lack of physical activity, life style, and increased stress level, heart disease are common now-a-days. Complications in the heart affect the larynx, breathing process and consequently the quality of speech. This work is primarily aimed to understand the variation of voice in the coronary heart disease patients for detection of CHD. Computerized Speech Lab (CSL) model 4500 is used for processing the voice signal. CSL contains Multi-Dimensional Voice Program (MDVP) that breaks down and shows up to 22 voice parameters from a voice test. Voice samples of a group of 100 coronary heart disease patients (males and females) are compared with that of a group of 100 normal people (males and females). The study reveals variations in voice parameters like spectrogram, long term average spectrum (LTAS), jitter, shimmer, amplitude perturbation quotient (APQ) of the coronary heart disease patients in comparison with the normal people.

By utilizing distributed computing, we can store the information on remote servers and permit information access to open inquiry clients through the cloud server’s. The document set ought to ordinarily encoded before transferred to cloud server. These data is called outsourced data. It has certain limit to search on encrypted data. We are providing security for search data through cloud server. Encryption of data in the form of keywords. The search users can easily access the data from cloud servers by using empower of fine grained multi-keyword search. In this paper, we address the two issues with respect to multi-watchword seek. First issue as we consider the extensibility of document set and multiuser environment. By using these type of search users can easily access the data in the file format. These files consist of some indexes to search. The complete data can be stored in the form of file. And the total file will be stored in an order and encrypted by the information proprietor (data owner) and send to the cloud. Second issues as we think about creating as a scalable searchable encryption to get effective results on pragmatic databases.

Multicast routing is a crucial task in Mobile Ad-hoc Networks due to the wireless nature of the network. Route maintenance is challenging in MANETs due to frequent link failures which causes high packet loss and end-to-end delay. To overcome these problems many link recovery techniques have been proposed but every technique has its own limitations. The aim of this paper is to overcome the problem of link failures through local recovery technique in MANETs. In this study, we propose a novel route recovery algorithm which helps to find out an alternate path based on localization in case of a link failure in the network. Our proposed algorithm may reduce the overhead of control packet, delay and increases the throughput.

The DCS (Distributed Control System) have made a great impact on the process industries like manufacturing, refinery, textile allowing automatic industrial processes with multiple input–output arrangements in real time. The above applications and its better performance indirectly depends on the communication between devices, control stations where sharing of network for optimal communication is most important. The present paper deals with study of communication parameters which decide the performance of the network in network control system (NCS). The model developed is a network of nodes explains the time delay analysis of token passing in ControlNet and DeviceNet to get the performance of the NCS. Simulation of the model for 4 nodes using token passing protocol among DeviceNet for NCS has been simulated and analyzed.

For the efficient and reliable operation of power systems, the most critical task is committing of generating units with respect to change in demand to supply. So, therefore as to control this challenging task named as security confined unit commitment (SCUC). This SCUC considered system’s objective function as consisting of both equality and inequality constraints. By applying numerous optimization functions to the constraints as power balance, spinning reserve, operating limits of real power, minimum up and down times, emission etc., the ultimate conditions of the problem will be solved. These are handled to generate an answer to the problem by applying hybrid BAT search algorithm. So, for modern power systems, by implementing this most economical method of operation generates the optimal power generation for different units as by meeting all the considered system Conditions. The reliability of the recommended technique’s computational results is assessed to a 3-unit testing system.

Perception based Level of service methodology depicts how well a transportation facility satisfy its road users. There are several engineering factors affecting driver’s perception of service quality on urban arterials, which vary largely by individual user and not easy to be distinguished. Therefore, user-perceived service quality appraisals don’t relate to the LOS assessed using Highway Capacity Manual (HCM) method. The main objective of this study is to speak to the variability of human discernment and to characterize level of satisfaction of road users using hierarchical fuzzy inference system (HFIS). Around 500 responses of road users were gathered from two emerging cities of India i.e. Bhubaneswar and Vishakhapatnam, where traffic facility is portrayed by distinctive sorts of roadway features and variation in number of pedestrians, motorists and each category of vehicles. So that our survey can include every circle of transportation and people belonging to all classes can be taken into account. The present approach, contains fuzzy reasoning experiences to combine important factors which reflect road user’s perception of service quality. In order to decrease the intricacy of multivariable, the fuzzy inference system (FIS) is partitioned into two subsystems, together conducing to a hierarchical fuzzy inference system. First the four input variables namely roadway geometry, traffic facilities, pavement condition and safety are fuzzified. The resulting fuzzy values are entered into the fuzzy inference system, where number of fuzzy rules are generated by applying fuzzy operators. Applying max–min composition method all the outputs are aggregated and defuzzified to evaluate composite LOS of various road segments of both the cities. This methodology offers unique and significant approach to define service quality provided by the transportation infrastructure and may defeat the constraints of customary delay-based methods to some extent.

At present, a suitable methodology is not available for assessment of the quality of services offered by the transportation facilities like shared use roadway segments for pedestrian use under the influence of heterogeneous traffic flow. Hence an initiative has been taken in present study to develop a new method that can be well applicable for mid-sized cities. Required data sets has been collected from a total of 60 segments of three Indian cities namely; Bhubaneswar (Odisha), Rourkela (Odisha) and Kottayam (Kerala). These segments widely vary in their traffic flow and geometric conditions. Also, both kinds of segments, i.e. with and without provision of sidewalk facilities have been considered. The quality of walking environments offered by these segments has been examined. Approximately 700 respondents differing in their age, sex, education level and driving experiences participated in perception surveys to share their satisfaction level on these segments. Ten different variables affecting the service quality significantly (p < 0.001) has been found out and stepwise multi-variable regression analysis has been carried out to develop a new model. Primary factors included are namely: total available width of the road, paved shoulder and sidewalk facilities in through direction; volume of pedestrians and vehicles in peak hours of traffic flow; percentage of heavy vehicles; 85th percentile speed of running motor vehicles; and interruptions created by nearby commercial activities and available public transits. Also, influences of two secondary factors namely; availability of driveways and type of separation of sidewalk facilities from the main carriageway has been examined under prevailing conditions. These influences have been reflected in the developed model by using adjustment factors. This regression model reported high reliability in its universal application with a high correlation coefficient (R2) of = 0.75. Also, its parameter estimates satisfied required significance criteria through several tests including t test, collinearity statistics etc. Fuzzy C-Means clustering technique has been used to define the ranges of service categories (A–F). In order to evaluate off-street pedestrian facilities, average pedestrian space (m2/ped) has been used as the measuring parameter. The service categories predicted by the developed model for fifteen randomly selected segments has been compared with the observed ones. The high value found for exact matching (86.7 %) denotes well applicability of this developed model.

As the electrical power is inevitable for all kind of work, the society concentrates on generation of electrical power from various modes. Power generation from fossil fuel is the traditional technology and it should be obsolete since it has many disadvantages like more cost, carbon emission and transport cost. Due to the above limitations the end user pays more cost as the generation cost per unit become more. Another biggest danger of using fossil fuel is raising heat of earth day by day and using fossil fuel is environmentally not viable. So our ruthless shunt should be of what the alternate for fossil fuel is and how to make lesser the unit cost of electricity. The solution is encouraging renewable energy [1–5]. Among the renewable energy, solar is most prominent one. It is increasingly urgent to find energy alternatives that are sustainable [6–8] as well as safe for environment and humanity. It is evident for utilizing the available solar energy is inevitable at this stage. Hence we are using Single axis tracking for utilizing the maximum available power from solar panel. The restructuring of the electric power is a serious move at present. Stake holders, facilitating their wide contribution in the manufacture distribution, how effectively uses the generated power. The restructuring is facilitating integration of internet technology in various aspects. As everyone aware the importance of shortage of power, people mover towards saving of power and generation of power for their need using solar panel. As the government also encourages by giving subsidy, more people come forward to install solar panels for their need. However as the position of the sun changes from time to time, it is advisable to implement a single axis tracker to minimize the cosine loss. In this way enhancing of 15 % power is possible and experimentally proven also.

For high voltage applications, H-bridge Cascaded MLI topology is one amid popular methods. It uses many series connected H-Bridge to produce AC voltage. The main benefits of MLI is better performance and low harmonics. Traditional MLI requires ‘n’ DC voltage bases to gain (2n + 1) stages. A new MLI by a level repetition system takes the method of a half-bridge inverter nearly twin the levels. The topology practises H-bridge MLI but offers a comparable presentation of an unequal topology in terms of voltage. Also, it keeps the virtue of unvarying stocking of the distinct cell for a MLI. The method is executed by linking a three-arm H-bridge (only two switches per phase) with the complete three-phase inverter to double the number of levels. Thus, it meaningfully recovers the power quality, lessens the switching frequency and lessens the cost and size of the power filter. The simulation results tested by the hardware setup.