Current Issue

International Journal of Electronics, Information and Systems (ISSN: 1884-7609)
This is an open access journal distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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1. Conceptual foundation for personal information management (pp. 001-012)

Sabah Al-Fedaghi and Ghufran A. Al-Shiridah, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait

Abstract—
Defining the boundaries of information associated with or relevant to an individual is necessary to build a conceptual foundation for Personal Information Management (PIM). Personal information (PI) is a central notion in PIM. Current studies have proposed various “senses” of this type of information. This paper analyzes issues in defining PI and specifying the scope of study of PIM. It introduces a coherent conceptualization of the privacy senses, built upon dividing information into PI and nonpersonal information. PI is further split into personal identifiable information (PII) and personal nonidentifiable information. Consequently, we draw a boundary around a “person’s information” studied in PIM, then identify a subfield of PIM as a system that integrates the tools used to manage PII.

Index Terms—personal information management; personal identifiable information; personal information; flow model.

FULL TEXT: PDF

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2. Implementation of the Radio Network ControllerSignaling Protocol Stack using Cross Layer Design (pp. 013-022)

Dr. George Tselikis, 4Plus Technologies S.A., Greece

Abstract— Layering is the dominating design methodology of communication protocol stacks. This architecture is characterized by a stack of protocol layers where each protocol undertakes specific tasks by using the services made available by the layers below it, and providing new services to upper layers. However, by retaining the strictly modular architecture, where each layer keeps its independence and communicates solely with its adjacent layers, the implementation of the protocol stack may have a negative impact on the overall system performance. Recently, the cross-layer design has been introduced. This paper presents implementation details and performance measures of the cross-layer design used for the production of a commercial 3G Radio Network Controller (RNC) simulator, in order to obtain performance gains.

Index Terms—Cross-layer design; 3G; RNC; signaling; protocol stack.

FULL TEXT: PDF

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3. Message Dissemination between Vehicles using Hierarchical Clustering (pp. 023-030)

D.Rajini Girinath MNM Jain Engg College, Chennai,India
Dr.S.Selvan, Francis Xavier Engg College, Tirunelveli,India.


Abstract—
In this paper, we propose a framework to analyze the impact of clustering and mobility pattern on routing performance of vehicular ad hoc network in a systematic manner. Our novel design of Hybrid Mobility Model architecture for traffic regulation reduces the reclustering process and creates more number of stable clusters than other models. Our scheme tries to group vehicles with low mobility with respect to each other into the same cluster and handling vehicles with varying mobility in different clusters. The novel Cluster construction algorithm is for predicting the cluster locations and Location based 2hop Multicast Flooding Algorithm (L2MF) for data distribution. Thus, the impact of vehicle movement and cluster topology variations regarding the routing decisions are minimized.

Index Terms— Routing; Clustering; Mobility Model; VANET; Ns-2.

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4. ALIAS FREE SUBBAND ADAPTIVE FILTERING WITH CRITICALLY SAMPLED FILTER BANKS (pp. 031-036)

Venkata AP Chavali, TECHNOCRATS INSTITUTE OF TECHNOLOGY,BHOPAL,INDIA


Abstract— Adaptive Filtering is an important concept in the field of signal processing and has numerous applications in fields such as speech processing and communications. Examples in speech processing include speech enhancement, echo and interference cancellation and speech coding. An Adaptive filter is a filter that self-adjusts its transfer function according to an optimizing algorithm. Because of the complexity of the optimizing algorithms, most adaptive filters are digital filters that perform digital signal processing and adapt their performance based on the input signal. An Adaptive filter is often employed in an environment of unknown Staistics for various purposes such as system identification, inverse modeling for channel equalization, adaptive prediction and interference canceling. Knowing nothing about the environment , the filter is initially set to an arbitrary condition and updated in a step by step manner towards an optimum filter setting. For updating, the least mean-square algorithm is often used for its simplicity and robust performance. However , the L MS algorithm exhibits slow convergence when used with an ill-conditioned input such as speech and requires a high computational cost, especially when the system to identified has a long impulse response. Simulations show that the proposed structure converges faster than both an equivalent full band structure at lower computational complexity and recently proposed SAF structures for a colored input. The analysis is done using MATLAB, a language of technical computing, widely used in Research, Engineering and Scientific computations.

Index Terms— Adaptive filtering; Aliasing; Critical Sampling; LMS Algorithm.QMF.

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5. PROPORTIONAL-INTEGRAL-DERATIVE CONTROLLER TUNING OF TEMPERATURE CONTROL SYSTEM USING GENETIC ALGORITHM (pp. 037-042)

SEEMA NARA, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, H.C.T.M.KAITHAL.
POOJA KHATRI, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, H.C.T.M.KAITHAL
JATIN GARG, DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING, H.C.T.M.KAITHAL

Abstract— During the last years, the use of intelligent strategies for tuning of controller has been growing. The evolutionary strategies have won an important place thanks to their flexibility. PID tuning plays an important role in operations or tuning in the complex process such as the temperature of an oven used in many industrial applications. However, many tuning technologies for strictly maintaining the temperature are difficult to tune with conventional optimization methods since the process has many difficulties; delay or transportation lag, rate of temperature depends on thermal resistance, temperature oscillations about its nominal value etc. Up to the present time, since the gain of the controller has to be manually tuned by trial and error, it is very difficult to achieve an optimal gain with no experience. This paper addresses comparison of tuning methods of the PID Controller using various tuning techniques and genetic algorithm based tuning technique on temperature control system.

Index Terms— tuning of controller; evolutionary strategies; GENETIC ALGORITHM.

FULL TEXT: PDF

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6. Correlation between knowledge management and e-learning: A perspective (pp. 043-051)

J.R.RAJKUMAR, Assistant Librarian, PSG College of Technology, Coimbatore
V.Krishnan Assistant Librarian, PSG College of Technology, Coimbatore

Abstract— Paper focuses on the correlation between knowledge management and e-Learning. e-Learning and knowledge management are defined as separate strings. KM and e-Learning portal has been thoroughly explored. Besides, features of KM and e-Learning process are being highlighted.

Index Terms— Knowledge Management, e-Learning, Portal, Content design and Metadata .