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Über dieses Buch

This book comprises selected papers of the 4th International Conference on Future Generation Information Technology, FGIT 2012, held in Gangneug, Korea, in December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of advances in information technology. They were selected from the following 11 conferences: BSBT 2012, CGAG 2012, DCA 2012, DTA 2012, EL 2012, FGCN 2012, GDC 2012, IESH 2012, IUrC 2012, MulGraB 2012, and UNESST 2012.



Frequency Sharing Method for High Frequency Ocean Surface Radar Using Matched Filtering and Orthogonal Waveforms

In this paper, we propose a new frequency-reuse method which shares the frequency band in high frequency ocean surface radar (HFOSR). Our technique uses matched filtering and two orthogonal waveforms considering the distance between two radars. The orthogonal waveforms are the up-chirp and down-chirp signals, which have the same center frequency and the same bandwidth. In South Korea, there are 16 ocean surface radars which use the 13, 25 and 42 MHz operating frequencies. They are currently using 14 different frequency channels to reject mutual interference. Our method uses only six different frequency channels, thus reducing the number of frequency channels by eight and freeing those resources for other uses or services.

In-Sik Choi, Seung-Jae Lee, Joo-Hwan Lee, Young-Jun Chong

Vertical Handover Security in 4G Heterogeneous Networks: Threat Analysis and Open Challenges

In this paper, we propose a review of the mechanisms and procedures to securely manage vertical handovers in heterogeneous networks. The purpose of the paper is to position the heterogeneous networks in the context of wireless security and to describe the possible attacks that come along with this new kind of infrastructure. From a critical analysis of the literature, this paper focuses on the new security challenges that surround the different entities involved in the handover management.

Naïm Qachri, Olivier Markowitch, Jean-Michel Dricot

Three-Dimensional Stacked Memory System for Defect Tolerance

This paper presents a method for constructing a memory system using defective memory chips comprising faulty storage blocks. The three-dimensional memory system introduced here employs a die-stacked structure of faulty memory chips. Signals lines passing through the through-silicon-vias (TSVs) connect chips in the defect tolerant structure. Defective chips are classified into several groups each group comprising defective chips having faulty blocks at the same location. A defect tolerant memory system is constructed using chips from different groups. Defect-free storage blocks from spare chips replace faulty blocks using additional routing circuitry. The number of spare memory chips for defect tolerance is s=


( k × n ) / ( m – k )


to make a system defect tolerant for (n + s) chips with k faulty blocks among m independently addressable blocks.

Haejun Seo, Yoonseok Heo, Taewon Cho

VCPU Shaping for Supporting Latency Sensitive Workloads

In virtual machine environments, it is difficult to allocate CPU resource in a timely manner when lots of domains are in BOOST priority. In this paper, we present a virtual machine scheduling scheme based on VCPU shaping and efficiently deals with multi BOOST problem. We evaluate our prototype in terms of latency over diverse workloads. Our experiment result shows that the proposed realtime priority scheme effectively allocates CPU resources for low latency guest domain over varying workloads.

Byung Ki Kim, Chuck Yoo, Young Woong Ko

Architecture for Convegence Mobile Cooperation Service Using Components Integration

In this paper, we describe the AMS(Architecture for Mobile Service) methodology to guide the reflexive development of architectures from the mobile convergence software requirements. In particular, we are detailing the first step of this methodology, the definition of the convergence goals model whose constituents are the fundamental basis for the overall process defined in AMS proving its suitability for obtaining traceable components integration architectural models. It provides our work either to its ability to specify and manage positive and negative interactions mobile services among goals or to its capability to trace low-level details back to high-level concerns. AMS using components integration is a model informing an convergence architecture to design mobile service environments: it combines inference capabilities with the management of contextual components information that is modulated according to the strMobile Applications(MA)ture of physical and logical spaces of mobile service architectures.

Haeng-Kon Kim

An Efficient Layer 2 Routing Algorithm in a Dual-ring Bridged Network for Smart Grid

In a dual-ring bridged network, a bridge with RSTP algorithm may send packets to other bridges inefficiently. An RSTP algorithm has only one spanning tree for data communications. A redundant link in a dual-ring bridged network is wasteful and inefficient. Thus, we propose an algorithm that allocates two spanning trees to two separate rings of the dual-ring using PVST (Per VLAN Spanning Tree). After allocating two spanning trees to each bridge port, a layer 2 routing table is built by exchanging new BPDU messages with other bridges using two spanning trees. By using this routing table, bridges can forward data to the destination bridge with the shortest path. Because the proposed algorithm is compatible with existing RSTP algorithms, the proposed algorithm can be used for bridges in all Ethernet networks including Industrial Ethernet networks. It also can be used for smart grid automation network technology. We provide proof of the efficiency of the proposed algorithm via OPNET simulation results.

Seokjoon Hong, Inwhee Joe

Improving User Throughput with Interleaved-HARQ in OFDM Systems

In this paper, we investigate how to improve user throughput in orthogonal frequency division multiplexing (OFDM)-based cellular systems. We consider an OFDM system which employs the interleaving techniques within hybrid automatic repeat request (HARQ) protocols. To maximize user throughput, we propose an enhanced approach to selecting the modulation and coding scheme (MCS) and interleaving thus this throughput is obtained by considering not only time diversity gain from HARQ operations but also frequency diversity gain from interleaving techniques. Link-level simulation results show that interleaving techniques improve the frame error rate performance of given MCS levels at retransmissions by performing with HARQ operations.

Dongwook Kim, Namgi Kim

A Performance Analysis of RESTful Open API Information System

RESTful web services easily deploy their web service without physical server through HTTP protocol. This research is to provide a service evaluation, especially in the point of system performance for the Open APIs. Future information systems will be working on smart devices such as smartphones or smart devices. So, this research focuses onto the scalability of RESTful Open API web services by performance evaluation of the RESTful Open APIs. This is because we need to check whether the REST Open API has enough performance as a future mobile cloud platform.

Min Choi

Genetic Algorithm Based Robot Posture

Robot-posture with genetic algorithm is presented in this paper. As a robot platform walking biped robot is used. To cope with the difficulties and explain unknown empirical laws in the robot, practical robot walking on a descending sloped floor is modeled by genetic architecture. These results from the modeling strategy is analyzed and compared.

Dong W. Kim, Jong-Wook Park, Sung-Wook Park

A Reliable QoS Model for Festival Constraint Running on MHAP in Festival Site

We propose a RQM_MHAP (Reliable QoS Model of Festival Constraint running on MHAP in Festival Site). RQM_MHAP is a reliable QoS multi-agent model based MHAP with function of an event detection and classification for person’s moving line in festival site automatically. It consists of RQM_FEDA and RQM_FECA running on situation-aware ubiquitous computing such as MHAP. RQM_FEDA has a function of event detection running on MHAP for festival sites. This method detects error by inspecting by hooking method. The characteristic of this system is to use the same method to get back again it as it creates a session. RQM_FECA has a function of event classification for festival sites.

Eungnam Ko, Soongohn Kim

An Error Control Agent Running on RCSM for Smart Festival Management System

This paper proposes an error control model running on RCSM (Reconfigurable Context Sensitive Middleware) for smart festival management by analyzing errors of the object data. RCSM provides standardized communication protocols to interoperate an application with others under dynamically changing situations. It describes a hybrid software architecture that is running on situation-aware middleware such as RCSM which has an error or object with a various information for each session and it also supports multicasting with this information for festival management system.

Soongohn Kim, Eungnam Ko

The Decomposed K-Nearest Neighbor Algorithm for Imbalanced Text Classification

As textual data have exponentially increased, it is focused that a need for automatic classification of relevant data to one of pre-defined classes. In many practical applications, they assume that training data are evenly distributed among all classes, but they are suffered from an imbalanced problem. Several algorithms and re-sampling methods have been proposed to overcome an imbalanced problem, but they are still facing the overfitting and information missing. This paper proposes the Decomposed K-Nearest Neighbor (DCM-KNN). In training step, the DCM-KNN decomposes training data into misclassified and correctly-classified data set based on the result of traditional KNN, and finds the appropriate KNN for each set. In test step, the DCM-KNN estimates whether test data is similar to misclassified and correctly-classified data set, and applies the appropriate KNNs. Experimental results show that proposed algorithm can achieve more accurate results in an imbalanced condition.

Hyung-Seok Kang, Kihyo Nam, Seong-in Kim

A Novel Packet Transmission Scheme with Different Periods According to the HSR Ring Direction in Smart Grid

High-availability Seamless Redundancy (HSR) is a redundancy protocol that provides duplicated frames for separate physical paths with zero recovery time. HSR is suitable for time critical applications in Industrial Ethernet Networks. However, the existing HSR scheme makes the unnecessary traffic by redundant frame copies. This drawback will degrade the network performance and may cause network congestion or delays. Thus, we propose a packet transmission scheme with different periods based on HSR ring topology for reducing network traffic load. Since it uses different transmission period by IEC 61850 traffic types, it can be adaptive for smart grid automation network technology. The main idea of the proposed scheme is using a different packet transmission period on each port of the HSR node. On one port near to destination, the node sends packets with the default transmission period, which is the same with the existing HSR scheme. On the other port, the node sends packets with an extended transmission period according to the delay requirement of IEC 61850 traffic types. By using the extended transmission period, the proposed scheme can reduce the network traffic and retain HSR network’s availability. Also, we evaluate the proposed scheme by using OPNET simulation tool. The performance evaluation results show that the proposed scheme is better than the existing HSR scheme.

Seokjoon Hong, Inwhee Joe

Automated Classification of Galaxies Using Invariant Moments

Classification and identification of galaxy shape is an important issue for astronauts since it provides valuable information about the origin and the evolution of the universe. Statistical invariant features that are functions of moments have been used as global features of galaxy images in their pattern recognition. In this paper, an automated training based recognition system that can compute the statistical invariant features for different galaxy shapes is investigated. The proposed algorithm is robust, regardless of orientation, size and position of the galaxy inside the image. Feature vectors are computed via nonlinear moment invariant functions for each galaxy shape. After feature extraction, the recognition performance of classifier in conjunction with these moment–based features is introduced. Computer simulations show that Galaxy images are classified with an accuracy of about 90% compared to the human visual classification system.

Mohamed Abd Elfattah, Mohamed A. Abu ELsoud, Aboul Ella Hassanien, Tai-hoon Kim

The Quality Control of Software Reliability Based on Functionality, Reliability and Usability

Software quality control is very important. We have concern about software reliability deeply. Many research workers study about software reliability. We want to evaluate software quality as quantity. Especially, we worry about software failure data. We have to find the method software reliability by using software failure data. We propose that software test cases for evaluating of software functionality and usability. We propose that the evaluating of software reliability. We introduce the international standards of software quality control. Also, in this paper, we propose the quality testing metric for those criteria. Our evaluation method of software quality is based on the international standards ISO/IEC 9126-2 and ISO/IEC 25000 series.

Hye-Jung Jung, Suck-Joo Hong

Topic Map Based Management System for Social Network Service

Social network service (SNS) has become in a powerful diffusion media and technique in several fields such as communication, e-commerce and business marketing. And, nowadays, the relationship between the people in our society is also very important role to keep their concern or interest. In this environment, the people use SNS such as Twitter, Me2Day, Facebook, Linknow and so on. In this paper, we propose relationship management system using topic map for SNS. In order to make this system architecture, topic map that is to analyze and design the relation of human factor as a topic was used.

HwaYoung Jeong, BongHwa Hong

Starfish Recognition Using Adaptive Filter

The image capture method used for starfish recognition technology currently studied has limitations in capturing color images by using the area of visible ray in the poor underwater environment. This paper uses the infrared ray image which has a strong penetrating power underwater and is less sensitive to the noise of floating matter to settle the issue. The captured infrared ray underwater images are classified by the proposed adaptive filter. The adaptive filter is divided into the all pass filter, low pass filter and high pass filter by the decision function from the histogram distribution curve. Each of the classified image groups came to obtain a satisfactory result with the recognition of 87.5% as a result of recognition of starfish by using the number of concave and convex feature points.

Jong-Ik Kim, Si-Byung Nam, Sung-Rak Kim, Do-Hong Jeon

A Study on the Multi-location Recognition System Based on CCS

As invisible technology in ubiquitous generation, location recognition technology has been understood as rudimentary technology for various service provisions in field of transportation, military, distribution, home network, and more. Although location recognition system in traffic information is widely provided based on the GPS system which is a core basis technology for provision of traffic information, it has drawbacks of low accuracy, and shaded zone occurs due to secure of communication visibility. In this study, energy efficient and data-centric protocol of multiple location recognition systems that can recognize locations in shaded zone such as parking lot or tunnel is proposed and demonstrated. It bases on the Chirp Spread Spectrum (CSS) method which applies ISM Band of IEEE 802.15.4 so as detailed location recognition is possible only by the wireless RF (Radio Frequency). As the result of multi-network environment, it was likely to compose a network with less than 6% of data error ratio and less than 18 centimeters of error range of Tag node. Moreover, it can guarantee 13.5 days from 0.7 days in life span of tag node through applying 20 seconds low-power algorithm and minimum frequency of power consumption in 3V, 1500mAh battery condition.

Seongsoo Cho, BongHwa Hong, Hae-Gili Choi

Extracting Pilot Preferred Display from Data Transfer and Recording System

As the recording system such as DTRS (Data Transfer and Recording System)[1] on aircraft becomes available, amount of information during the flight can be obtained and utlilized efficiently. In this paper, we address how to extract pilot preferered display information over dyniamc layout system on an aircaft. To acheive this, display configuration for specific events are recorded in DTRS whenerver they occur. And then, through developed software, we can recognize the pilot’s perference of diplay for corresponding event. Furthermore, this function can be extened to extract other useful information for the flight and mission information by modifying software in a flexbile way.

Ki-Il Kim, SeokYoon Kang, Kyoung Choon Park

Dynamic Race Detection Techniques for Interrupt-Driven Programs

Data races are notorious concurrency bugs that are difficult to be reproduced and may lead programs into unintended nondeterministic executions. Asynchronous interrupts introduce fine-grained parallelism into interrupt-driven programs making them prone to data races and hard to be thoroughly tested and debugged. Unfortunately, only few tools and techniques have been proposed for dynamic data race detection in interrupt-driven programs that are however widely used in embedded systems. This paper surveys the existing dynamic race detection techniques for interrupt-driven programs, analyzes them to circumscribes the problems they face in reporting data races, and finally highlights the challenges that a dynamic race detection for interrupt-driven program needs to overcome.

Guy Martin Tchamgoue, Kyong Hoon Kim, Yong-Kee Jun

Dynamic Instrumentation for Nested Fork-join Parallelism in OpenMP Programs

It is important to determine the logical concurrency of OpenMP programs, because it helps detecting data races between two threads in an execution of the program. RaceStand have been developed to detect on-the-fly data races for OpenMP applications. Unfortunately, the previous tool does not detect data races or reports false positives for nested fork-join parallelism which uses function calls for the execution of parallel regions by its defective source code instrumentation. In this paper, we present an instrumentor to determine logical concurrency of parallel threads using a dynamic binary instrumentation technique based on Pin software framework. We implemented a Pin-tool as data race detection tool including our instrumentor, and empirically compared the correctness of the Pin-tool with previous tool using a set of synthetic programs considering nested parallelism and function calls.

Ying Meng, Ok-Kyoon Ha, Yong-Kee Jun

An Audio Watermarking Algorithm Using Group Quantization of DCT Coefficients

In this paper, we propose a watermark algorithm based on DCT and audio feature quantization. The proposed algorithm can be easily implemented and has a variety of variable factors to protect user information, such as quantization groups, filtering, and an audio feature extraction formula. If these factors are unknown, it is more difficult for them to be attacked. Our algorithm can extract a watermark without help from the original audio signal, giving it a higher degree of usability. The experimental results show that the proposed scheme is inaudible and robust against common signal processing techniques, including low pass filtering, noise addition, and compression. The proposed algorithm is particularly robust with respect to compression.

De Li, Wenji Quan, JongWeon Kim

A Study on Optimization Techniques for the Smart Virtual Machine Platform

SVM(Smart Virtual Machine) is the virtual machine solution that supports various programming languages and platforms, and its aims are to support programming languages like ISO/IEC C++, Java and Objective-C and smart phone platforms such as Android and iOS. Various contents that developed by supported language on SVM can be execute on Android and iOS platforms at no additional cost, because the SVM has the platform independent characteristic by using SIL(Smart Intermediate Language) as an intermediate language. VM(Virtual Machine) is manufactured to software unlike physical system that consists of hardware, it is conceptual computer that have logical system configuration. But, It can assume that optimization of executed code is very important because act thing which VM is slow than that process by real processor. In this paper, we deal with various optimization techniques to optimize stack based virtual machine called SVM which can execute on various smart devices.

YunSik Son, YangSun Lee

A Real-Time Localization Platform Design in WUSB over WBAN Protocol for Wearable Computer Systems

In this Paper, we propose a Real-Time Localization Platform Built on WUSB (Wireless USB) over WBAN (Wireless Body Area Networks) protocol required for Wearable Computer systems. Proposed Real-Time Localization Platform Technique is executed on the basis of WUSB over WBAN protocol at each sensor node comprising peripherals of a wearable computer system. In the Platform, a WUSB host calculates the location of a receiving sensor node by using the difference between the times at which the sensor node received different WBAN beacon frames sent from the WUSB host. And the WUSB host interprets motion of the virtual object.

Kyeong Hur, Won-Sung Sohn, Jae-Kyung Kim, YangSun Lee

A Study on Improved Similarity Measure Algorithm for Text-Based Document

A study on the similarity measurement of document has been active. We can move the position of word within the sentence. But from these steps, the probability of the meaning change is extremely rare. Existing research methods are not enough studies of these parts and the overall accuracy goes down. Therefore, in this paper, we proposed the algorithm that is improved the accuracy of the similarity measurement algorithm through moving to the words in the sentence.

Ki-Young Lee, Il-Hee Seo, Jeong-Joon Kim, Eun-Young Kang, Jong-Jin Park

Design of Order System Using NFC Based Smart Phone

Recently, mobile communication service is rapidly spreading, the number of smart phone users is sky-rocketing. As mobile market is growing, people are getting more interested in order and payment system of products using smart phones. Therefore, this paper suggests an order system which is combined with smart phone using NFC among local wireless communication. This paper applied a reader reacting to create RF field from generator among NFC communication modes for security purpose during payment process and also applied manual communication mode which enables communication between reader and tags reacting to commands generated from generator. Through this system, smart phone based order system that provides rapid and correct ordering and convenience for users is expected to be available.

Myung-Jae Lim, Hyun-Jun Seo, Eun-Ser Lee, Ki-Young Lee

Hard Partition-Based Non-Fuzzy Inference System for Nonlinear Process

We introduec a non-fuzzy inference system based on hard partition to contruct model for nonlinear process. In fuzzy modeling, the generation of fuzzy rules has the problem that the number of fuzzy rules exponentially increases. To solve this problem, the rules of non-fuzzy inference systems are generated by partitioning the input space in the scatter form using HCM clustering algorithm. The premise parameters of the rules are determined by membership matrix by means of HCM clustering algorithm. The consequence part of the rules is represented in the form of polynomial functions. The proposed model is evaluated with the performance using the data widely used in nonlinear process.

Keon-Jun Park, Jun-Myung Lee, Yong-Kab Kim

A Study on Location DB Matching of IPS in Specific Area Using LED Lights and Image Sensor

In this paper, we researched DB(Data Base) matching algorithm for distinction of specific area of indoor based on image sensor using the LED. Existing positioning technology are positioning based on communication and visible light communication. Among them, visible light communication due to sending carrier wave in positioning inforrmation, occurs to computational increase by complexity of location-aware process. In addition, visible light communication occurs constraints of light source interference. Therefore, in this paper, Studied the location-aware algorithm to matched specific area through compare coordination value to specific area collected in advance server DB after location value obtained through image sensor using LED. It was simulated using four LED. And then, it was proved usefulness to perception in position local through experiments.

Jaesang Cha, Seungho Lee

Implementation Microprocessor Controller for LED Lights Emotional Match Digital Sounds

Recently, an interest of application based on the emotion has been increased. And the LED control based system according to sound has been proposed. However existing system is adopted the temporary and simple method for the LED control according to sound change and it is impossible to explain a variety of human emotion sufficiently. Therefore, we proposed the efficient emotional matching structure based on microprocessor, DMX and LED driver. Also we proved the usefulness of proposed system structure and micro process by conducting the experiment based on hardware device.

Jaesang Cha, Jaekwon Shin, Junghoon Lee

Determination of a Pair of Single Stationary Zeros in Cross-Coupled Systems

We present a theoretical method in order to trace the complex transmission zero (TZ) locations of dielectric-loaded lumped systems, by using chain matrices for subsystems, obtained from the whole system by partitioning into several parts. By deriving the closed-form expressions of transmission zero characteristic equation (TZCE), in terms of impedances of elements. We prove an important result that integer pairs of complex zeros are shown to result solely from the cross-coupled portion of the system. We can locate TZs using only the TZCE obtained from canonical transfer functions, without evaluating the entire transfer function of the whole system.

Keehong Um, Yong-Soon Im, Gye-Kuk Kim, Jeong-Jin Kang

Secure Contents Design and Implement of Smart Home Management System in OISCS

Optimal Intelligent Supervisory Control System (OISCS) is the program which has an evaluation / a monitor and a control functions for home / office devices from outdoor [1][2]. For their controlling, we usually use Mobile Devices (MD). Also, we can avoid energy wasting by using MDs. However, because they use a network system, all security problems will belong to MD’s such as a man in the middle attack. If attackers take transferring contents between MDs and a home/a office, they can see inside. It will be potential troubles. To avoid it, we designed and implemented to all contents which are transferring in network.

Minkyu Choi, Goreti Marreiros, Myunggwon Hwang, Zita Vale, Hoon Ko

Development of 3D Visibility Analysis Models Implementing NURBS Data

Landscape Visibility Map has advantages of assessing landscape character and expects any planning scenarios. The research aimed to develop a visibility analysis programme based on NURBS in order to improve accuracy of the process and result. Seoul Forest Apartment and Kum-Ho 14 Redevelopment District have been chosen as case study and site in order to review terrain, high rise building blocks and any built up structures at the same time. After case study, VE3D which was developed for visibility analysis from vectorised datasets was able to illustrate high level of detail in visibility identification better than using Arcview 3.3 programme. Moreover, VE3D can produce a visibility analysis in reflecting complicated structures such as flyovers and high rise tower blocks.

Choong Sik Kim

A Multi-set Relational Algebra in View of Universal Query Language

The Unified State Model (USM) is a single model that allowed conveying objects of popular programming languages and databases. The USM model exploits and emphase common properties of all objects. The mapping between popular data models and USM has been already shown. In consequence the Universal Query Language (UQL) has been proposed as a set of base operators. UQL pretends to cover most popular query languages and construction of USM and base operators of the UQL has been performed. Examples of simple SQL queries expressed via UQL has been already demonstrated. In this paper we present how operators of a multi-set extended relational algebra can be expressed by UQL operators.

Piotr Wiśniewski

Using Particle Swarm Optimization for Image Regions Annotation

In this paper, we propose an automatic image annotation approach for region labeling that takes advantage of both context and semantics present in segmented images. The proposed approach is based on multi-class K-nearest neighbor, k-means and particle swarm optimization (PSO) algorithms for feature weighting, in conjunction with normalized cuts-based image segmentation technique. This hybrid approach refines the output of multi-class classification that is based on the usage of K-nearest neighbor classifier for automatically labeling images regions from different classes. Each input image is segmented using the normalized cuts segmentation algorithm then a descriptor created for each segment. The PSO algorithm is employed as a search strategy for identifying an optimal feature subset. Extensive experimental results demonstrate that the proposed approach provides an increase in accuracy of annotation performance by about 40%, via applying PSO models, compared to having no PSO models applied, for the used dataset.

Mohamed Sami, Nashwa El-Bendary, Tai-hoon Kim, Aboul Ella Hassanien

On Architecture Warehouses and Software Intelligence

By architecture of a software system we typically denote the knowledge about the organization of the system, the relationships among its components and the principles governing their design. By including artifacts coresponding to software engineering processes, the definition gets naturally extended into the architecture of a software system and process. This paper recalls theoretical model for representing architectural knowledge based on directed multi-graph, defines an

architecture warehouse

implementation of the model capable of representing the complete architecture of a software system and process, and shows how it can be harnessed to create a

software intelligence

layer providing software architects with a toolset for software analysis and visualisation. The reasoning is supported by examples depicting warehouse implementation and results obtained from its application to a sample software project.

Robert Dąbrowski

The Linkup Data Structure for Heterogeneous Data Integration Platform

In modern world the data storage is based on databases. The enormous scatter between the approaches and techniques caused by wide field of database applications brings every system manager to point where integration is required. In this paper we want to challenge the problems of heterogeneous data integration. We discuss a solution that can unify the data integration effort without a need to focus on a data model or schema particularities. The presented polyglot communication based on a network service will focus on an linkup entity that can further be elastically adopted to particular assumptions of the environment to be integrated. The discussed architectural design will depict the most common and well known issues in the area of distributed environment integration, like horizontal, vertical and mixed fragmentation, replication or integrated data storage sparsity problem. The design of the introduced linkup structure brings the benefits of unified platform independence and elastic configuration that later can also bring profits while in distributed environment.

Michał Chromiak, Krzysztof Stencel

Uncertain OLAP over Multidimensional Data Streams: State-of-the-Art Analysis and Research Perspectives

Multidimensional data streams

are playing a leading role in next-generation

Data Stream Management Systems

(DSMS). This essentially because real-life data streams are

inherently multidimensional, multi-level and multi-granular in nature

, hence opening the door to a wide spectrum of applications ranging from

environmental sensor networks




tracking systems

, and so forth. As a consequence, there is a need for innovative models and algorithms for representing and processing such streams. Moreover, supporting

OLAP analysis and mining tasks

is a “first-class” issue in the major context of knowledge discovery from streams, for which above-mentioned models and algorithms are baseline components. This issue becomes more problematic when

uncertain and imprecise multidimensional data streams

are considered. Inspired by these critical research challenges, in this paper we present a state-of-the-art technique for supporting OLAP over uncertain multidimensional data streams, and provide research perspectives for future efforts in this scientific field.

Alfredo Cuzzocrea


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