International Journal of New Computer Architectures and their Applications

257-264

Authors: Ebtehal Alsaggaf, Prof.Dr. Fathy albouraey

The concept of building the best component-based application becomes very attractive. But, the reusable components must comply with specific underlying middleware architecture in order to interact with each other efficiently. This dependency on the underlying architecture creates compatibility problems. Anyway, software agents provide a powerful new method for implementing the information systems. Multi-Agent System (MAS) can communicate and cooperate with each other to solve complex problems and implement complex systems. So, in this research, we will define how component CORBA can interact with DCOM by using MAS. This will able to make us freedom to choose the best attributes from both systems and combine them to build the best possible application that specifically suits my environment.

275-281

Authors: Hoshang Kolivand, Mohd Shahrizal Sunar

In this paper two techniques of shadow generation are described. Volume shadow is geometric base but shadow mapping is image base. Silhouette detection is a most expensive step to create volume shadow. Two algorithms to recognize silhouette are introduced. Stencil buffer and Z- buffer are two other tools for creating shadow by volume shadow technique. Both algorithms are implemented in virtual environment with moveable light source. Triangular method and the Visible-non visible method are introduced. The recent traditional silhouette detection and implementation techniques used in volume shadow algorithm are improved. With introduce flowchart of both algorithms, the last volume shadow algorithm using stencil buffer is rewritten. A very simple algorithm to create volume shadow is proposed. The last shadow mapping algorithm is rewritten. These techniques are poised to bring realism into commercial games. It may be use in virtual reality applications.

292-303

Authors: Bogart Yail Márquez, Manuel Castañon-Puga, Juan R. Castro, Eugenio D. Suarez, José Sergio Magdaleno-Palencia

This work has as its main objective to apply the distributed agency methodology, which consists of several techniques used in computer science, to solve complex social problems. This approach allows the possibility of analyzing data from a macro level to a micro level where the intermediate part is highlighted, all in an organized integration of a social simulation displayed on geographic information with natural language quantifiers. We present a new model based on Distributed agencies Model and we use an interval type-2 fuzzy logic system is designed to evaluate the poverty levels.

316-324

Authors: Ta- Te Lu, Tsung-Hsuan Tsai, Jia-Yuan Wu

Video quality retrieval is an important issue in reconstruction video sequences. The amounts of transmission bitstreams are very large to achieve high video quality reconstruction. Thus, high video quality retrieval is still a challenge problem. The aim of this paper is to reduce the transmission bitstreams and raise reconstruction video quality. In this paper, we propose a scalable block compensation with index selection mechanism using eigenvalue and local variance statistics for each group of pictures (GOP), which are regarded as the feature parameters for compensating motion blocks for each video frame from low-resolution to high-resolution sequences at the receiver ends. To reduce transmission overhead, the index selection technique is then applied to those selective compensation blocks to have variances larger than a threshold. The results of index numbers from index selection are regarded as reconstruction information. Simulation results show the percentage of noncompensation blocks is nearly 30% saving for Mobile, 36% saving for Foreman, and 48% saving for News. These results indicate that the proposed algorithm offers a more efficient way to decrease the percentage of compensation blocks about 30~48%. The proposed algorithm, on average, outperforms H.264/AVC about 2.8~9.8 dB from 100 kbps to 1 Mbps.

336-343

Authors: Kamarularifin Abd. Jali, Zaid Ahmad, Jamalul-Lail Ab Manan

Ad hoc On Demand Vector (AODV) is a reactive routing protocol in Mobile Ad hoc Network (MANET). Although the protocol has been around for quite some time, but there is still security issue which made it vulnerable to various attacks such as black hole which tremendously affects the network performance. There have been several works done to mitigate this problem but most of the proposed methods introduce overhead to the existing protocol i.e. extra control messages. Most of MANET devices are resource constraint and therefore a light solution is needed. For this reason, in this paper we proposed a method called ERDA (Enhance Route Discovery for AODV). The proposed method is able to mitigate the aforesaid problem by introducing new conditions in the routing table update process and also by adding simple malicious node detection and isolation process to the AODV route discovery mechanism. The proposed method does not introduce any additional control message and moreover, it does not change the existing protocol scheme. In order to test the proposed method, a simulation model was developed. The simulation results show significant improvement to the network performance after ERDA is implemented in the AODV as compared to the existing AODV protocol.

358-370

Authors: Hu Ng, Hau-Lee Ton, Wooi-Haw Tan, Timothy Tzen-Vun Yap, Pei-Fen Chong, Junaidi Abdullah

This paper presents a human identification system based on automatically extracted gait features. The proposed approach consists of three parts: extraction of human gait features from enhanced human silhouette, smoothing process on extracted gait features and classification by three classification techniques: fuzzy k- nearest neighbour, linear discriminate analysis and linear support vector machine. The gait features extracted are height, width, crotch height, step-size of the human silhouette and joint trajectories. To improve the classification performance, two of these extracted gait features are smoothened before the classification process in order to alleviate the effect of outliers. The proposed approach has been applied on SOTON covariate database, which comprises eleven subjects walking bidirectional in a controlled indoor environment with thirteen different covariate factors that vary in terms of apparel, walking speed, shoe types and carrying objects. From the experimental results, it can be concluded that the proposed approach is effective in human identification from a distance over various covariate factors and different classification techniques.

384-395

Authors: Fazli Bin Mat Nor, Kamarularifin Abd Jalil, Jamalul-lail Ab Manan

Most remote authentication schemes use key exchange protocol to provide secure communication over an untrusted network. The protocol enables remote client and host to authenticate each other and communicate securely with prearranged shared secret key or server secret key. Many remote services environment such as online banking and electronic commerce are dependent on remote authentication schemes to validate user legitimacy in order to fulfill the authentication process. Unfortunately, these schemes are not able to provide trust or evidence of claimed platform identity. Therefore, these schemes are vulnerable to malicious software attacks that could compromise the integrity of the platform used for the communication. As a result, user identity or shared secret key potentially can be exposed. In this paper, we present a remote authentication scheme using secure key exchange protocol with hardware based attestation to resist malicious software attack. In addition, a pseudonym identity enhancement is integrated into the scheme in order to improve user identity privacy.

404-411

Authors: Rosmayati Mohemad, Abdul Razak Hamdan, Zulaiha Ali Othman, Noor MaizuraMohamad Noor

Portable Document Format (PDF) is the most comfortable way to publish information because of its operating system independent. However, information on PDF document is unstructured and are applicable only for human reader. In addition, PDF consists of non-tagged internal structure which make the extraction task difficult. Automatically details analyzing and recognizing of PDF document structures especially paragraph and tabular area is vital for extracting relevant information precisely for use in other domain applications. Motivation of this study is to support knowledge extraction and exploit its actual semantic for improving further analysis. This paper proposed an intelligent approach to identify and recognize automatically the layout and structure of PDF documents together with their text and then structure the extracted information into ontological- based representation. An experimental study has been conducted using a collection of construction tender documents in PDF to test the performance of the proposed approach. The accuracies of precision, recall and f-measures have shown significant results when detecting tabular and paragraph structure.

428-436

Authors: Siti Z. Z. Abidin, Nasiroh Omar, Muhammad H.M. Radzi and Mohammad B.C. Haron

Currently, an online forum is becoming one of the trends in social media. Social media allow people to communicate interactively so they can share their feelings and opinions. Even though, they are communicating through text, such digital element permits them to express their emotions. The information that is conveyed through texts has the potential to influent people’s mind sets. In this paper, we propose to quantify people’s perception in an online forum by analyzing their words. The number of occurrences for significant words is counted in order to measure their perception based on emotion and issues that they are discussing. This new approach significantly reduce the time for collecting, processing, and analyzing data, as well as visualizing results, specifically for seeking public’s perception and emotion of specific issues.

459-473

Authors: Rozmie R. Othman, Kamal Z. Zamli

The adoption of t-way strategies (also termed interaction testing) for combinatorial testing is the main focus of this paper. Unlike earlier work, this paper unifies the different possible use of t-way strategies including uniform interaction, variable strength interaction, and input output based relations. In order to help engineers make informed decision on the different use of t- way strategies, this paper highlights the current state-of-the-art on different t-way strategy implementations. In doing so, this paper also discusses a step-by-step example as practical application.

484-489

Authors: Nurul Asyikin Mohamed Radzi, Norashidah Md. Din, Mohammed Hayder AlMansoori, Mohd. Shahmi Abdul Majid

In order to accommodate the needs of very high-speed broadband access, the most attractive solution that is being used nowadays is Ethernet passive optical network (EPON). In upstream EPON, dynamic bandwidth allocation (DBA) algorithm is needed to avoid collision. By ensuring global priority inside DBA, bandwidth can be better utilized since we grant the upstream bandwidth to each queue according to the priority. In this paper, we analyze the delay performance of global priority DBA algorithm proposed that we called as EDBAGP and compare it to EDBA and Min’s DBA algorithms. We vary the number of ONUs to 16 and 32. We can see that EDBAGP can improve as high as 25.22% for 16 ONUs and 41.35% for 32 ONUs as compared to Min’s DBA. It can also improve as high as 20.69% compared to EDBA for 16 ONUs and 28.57% for 32 ONUs.

510-518

Authors: Alfi Khairiansyah Machfud, Abdul Rahman Ahmad Dahlan, Jawdat Khatib, Ahmed Abdulaziz Haji-Ahmed

This paper takes the form of a general review. It introduces the notion of government-industry collaboration and information sharing in the Halal industry that work together for achieving common goals such as in economic, health, environmental, and social well-being– moving towards making living more meaningful, productive, fruitful and profound. Technological empowerment –in particular inter-organizational information systems (IS) and information sharing– is regarded as the key driver for supporting a sustainable economic development at the global, regional and local levels. Through IS, it is viable and essential to establish a global knowledge base, shared, used, enhanced and contributed to by a variety of experts and professionals throughout the world in different fields toward achieving common goals. The paper raises awareness of relevant government-industry collaboration initiatives, leveraging on the strategic use of IS to promote individual and community growth as well as to facilitate sustainable development. As there are five main components of an IS –hardware, software, data, procedures/processes, and people– this also mean that many different skills and effective change management programs are required to ensure users’ acceptance, leadership commitment and business processes between organizations are improved in ensuring ISs are effective in delivering the business goals of participating partners and collaborators.