IJARAI Volume 2 Issue 4

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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Paper 1: Comparison Between Linear and Nonlinear Models of Mixed Pixels in Remote Sensing Satellite Images Based on Cierniewski Surface BRDF Model by Means of Monte Carlo Ray Tracing Simulation

Abstract: Comparative study on linear and nonlinear mixed pixel models of which pixels in remote sensing satellite images is composed with plural ground cover materials mixed together, is conducted for remote sensing satellite image analysis. The mixed pixel models are based on Cierniewski of ground surface reflectance model. The comparative study is conducted by using of Monte Carlo Ray Tracing: MCRT simulations. Through simulation study, the difference between linear and nonlinear mixed pixel models is clarified. Also it is found that the simulation model is validated.

Author 1: Kohei Arai

Keywords: Monte Carlo simulation; ray tracing method; mixed pixel model; surface model;

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Paper 2: E-Learning System Utilizing Learners’ Characteristics Recognized Through Learning Processes with Open Simulator

Abstract: E-learning system utilizing learners’ characteristics which is recognized through learning processes with Open Simulator for overcoming week points is proposed. Through dialogs with avatars in the Open Simulator, it is possible to understand learners’ week points. Using learners’ characteristics, most appropriate subjects and achievement tests are provided by the proposed e-learning system. Experimental results show that the proposed e-learning system is much effective than the conventional e-learning system without utilizing learners’ characteristics.

Author 1: Kohei Arai
Author 2: Anik Nur Handayani

Keywords: e-learning system; Q/A System; Open Simulator; learners’ characteristics;

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Paper 3: Method for Car in Dangerous Action Detection by Means of Wavelet Multi Resolution Analysis Based on Appropriate Support Length of Base Function

Abstract: Multi-Resolution Analysis: MRA based on the mother wavelet function with which support length differs from the image of the automobile rear under run is performed, and the run characteristic of a car is searched for. Speed, deflection, etc. are analyzed and the method of detecting vehicles with high accident danger is proposed. The experimental results show that vehicles in a dangerous action can be detected by the proposed method.

Author 1: Kohei Arai
Author 2: Tomoko Nishikawa

Keywords: Change detection, MRA, support length of mother wavelet

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Paper 4: Geography Markup Language: GML Based Representation of Time Serie of Assimilation Data and Its Application to Animation Content Creation and Representations

Abstract: Method for Geography Markup Language: GML based representation of time series of assimilation data and its application to animation content creation and representations is proposed. It is validated the proposed method with NCEP/GDAS assimilation data. Also usefulness of the proposed interpolation method with tweening method is confirmed for unequal time interval of the time series data.

Author 1: Kohei Arai

Keywords: assimilation data; GML, NCEP/GDAS; tweening method of interpolation

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Paper 5: Improvement of Automated Detection Method for Clustered Microcalcification Based on Wavelet Transformation and Support Vector Machine

Abstract: The main problem that corresponding with breast cancer is how to deal with small calcification part inside the breast called microcalcification (MC). A breast screening examination called mammogram is provided as preventive way. Mammogram image with a considerable amount of MC or called clustered MC has been a problem for the doctor and the radiologist. Particularly, when they should determine correctly the region of interest. This work is an improvement work from the previous work. It utilizes the Daubechies D4 wavelet as a feature extractor and the SVM classifier as an effective binary classifier. The escalating point shown with 84.44% of classification performance, 90% of sensitivity and 91.43% of specificity.

Author 1: Kohei Arai
Author 2: Indra Nugraha Abdullah
Author 3: Hiroshi Okumura
Author 4: Rie Kawakami

Keywords: Automated Detection Method; Mammogram; Clustered Microcalcification;Wavelet; SVM; Standard Deviation.

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Paper 6: A Simulated Multiagent-Based Architecture for Intrusion Detection System

Abstract: In this work, a Multiagent-based architecture for Intrusion Detection System (MIDS) is proposed to overcome the shortcoming of current Mobile Agent-based Intrusion Detection System. MIDS is divided into three major phases namely: Data gathering, Detection and the Response phases. The data gathering stage involves data collection based on the features in the distributed system and profiling. The data collection components are distributed on both host and network. Closed Pattern Mining (CPM) algorithm is introduced for profiling users’ activities in network database. The CPM algorithm is built on the concept of Frequent Pattern-growth algorithm by mining a prefix-tree called CPM-tree, which contains only the closed itemsets and its associated support count. According to the administrator’s specified thresholds, CPM-tree maintains only closed patterns online and incrementally outputs the current closed frequent pattern of users’ activities in real time. MIDS makes use of mobile and static agents to carry out the functions of intrusion detection. Each of these agents is built with rule-based reasoning to autonomously detect intrusions. Java 1.1.8 is chosen as the implementation language and IBM’s Java based mobile agent framework, Aglet 1.0.3 as the platform for running the mobile and static agents. In order to test the robustness of the system, a real-time simulation is carried out on University of Agriculture, Abeokuta (UNAAB) network dataset and the results showed an accuracy of 99.94%, False Positive Rate (FPR) of 0.13% and False Negative Rate (FNR) of 0.04%. This shows an improved performance of MIDS when compared with other known MA-IDSs.

Author 1: Onashoga S. Adebukola
Author 2: Ajayi O. Bamidele
Author 3: Akinwale A. Taofik

Keywords: MIDS; CPM; Pattern-growth; Profiling

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Paper 7: Applying Inhomogeneous Probabilistic Cellular Au-tomata Rules on Epidemic Model

Abstract: This paper presents some of the results of our probabilis¬tic cellular automaton (PCA) based epidemic model. It is shown that PCA performs better than deterministic ones. We consider two possible ways of interaction that relies on a two-way split rules either horizontal or vertical interaction with 2 different probabilities causing more of the best possible choices for the behavior of the disease. Our results are a generalization of that Hawkins et al done.

Author 1: Wesam M. Elsayed
Author 2: Ahmed H. El-bassiouny
Author 3: Elsayed F. Radwan

Keywords: Probabilistic Cellular Automata (PCA); Epidemic modeling; Optimization.

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Paper 8: Fusion of Saliency Maps for Visual Attention Selection in Dynamic Scenes

Abstract: Human vision system can optionally process the visual information and adjust the contradiction between the limited resources and the huge visual information. Building attention models similar to human visual attention system should be very beneficial to computer vision and machine intelligence; meanwhile, it has been a challenging task due to the complexity of human brain and limited understanding of the mechanisms underlying the human attention system. Previous studies emphasized on static attention, however the motion features, which are playing key roles in human attention system intuitively, have not been well integrated into the previous models. Motion features such as motion direction are assumed to be processed within the dorsal visual and the dorsal auditory pathways and there is no systematic approach to extract the motion cues well so far. In this paper, we proposed a generic Global Attention Model (GAM) system based on visual attention analysis. The computational saliency map is superimposed by a set of saliency maps via different predefined approaches. We added three saliencies maps up together to reflect dominant motion features into the attention model, i.e., the fused saliency map at each frame is adjusted by the top-down, static and motion saliency maps. By doing this, the proposed attention model accommodating motion feature into the system so that it can responds to real visual events in a manner similar to the human visual attention system in a realistic circumstance. The visual challenges used in our experiments are selected from the benchmark video sequences. We tested the GAM on several dynamic scenes, such as traffic artery, parachuter landing and surfing, with high speed and cluttered background. The experiment results showed the GAM system demonstrated high robustness and real-time ability under complex dynamic scenes. Extensive evaluations based on comparisons with other approaches of the attention model results have verified the effectiveness of the proposed system.

Author 1: Jiawei Xu
Author 2: Shigang Yue

Keywords: Global Attention Model; Saliency Map Fusion; Motion Vector Field

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Paper 9: Web-based Expert Decision Support System for Tourism Destination Management in Nigeria

Abstract: The use of Information Technologies have played and currently playing prominent roles in many organizations, such as business, education, commerce. The tourism industry has witnessed the use and application of various computer-based systems in carrying out one or more activities or operation. But currently there is no computer-based system tourist destination to integrate the tourists (from outside Nigeria) and tourists center within Nigeria, so that tourists can make a pre destination plan and decision before venturing into tourism journey to the country Nigeria. The authors of this paper proposed the design of web-based Expert Decision System (WEDSS), to provide tourist to Nigeria and its environ essential data and tools to managing their tours and to base all the decisions concerning to queries on the, tourist centers and hotels based on the following issue; climate, road conditions, cultural aspects, lodging, health facilities, banking, etc. of the location to be visited on sound and rational bases. Web-Based Tourist Decision Support System (WEDSS) for Nigeria will be developed to allow the tourist to find their route in Nigeria and ask for information about sights, accommodations and other places of interest which are nearby to him to improve the convenience, safety, efficiency of travel and enhance tourism attraction of tourists.

Author 1: Yekini Nureni Asafe
Author 2: Adetoba Bolaji
Author 3: Aigbokhan Edwin Enaholo
Author 4: Olufemi Olubukola

Keywords: Tourism; Tourism Destination; Decision Support Syste; Web-Based; Lagos; Abuja; Nigeria

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Paper 10: Category Decomposition Method for Un-Mixing of Mixels Acquired with Spaceborne Based Visible and Near Infrared Radiometers by Means of Maximum Entropy Method with Parameter Estimation Based on Simulated Annealing

Abstract: Category decomposition method for un-mixing of mixels (Mixed Pixels) which is acquired with spaceborne based visible to near infrared radiometers by means of Maximum Entropy Method (MEM) with parameter estimation based on Simulated Annealing: SA is proposed. Through simulation studies with spectral characteristics of the ground cover targets which are derived from spectral library and actual remote sensing satellite imagery data, it is confirmed that the proposed method works well.

Author 1: Kohei Arai

Keywords: category decomposition; mixed pixel; satellite remote sensing; maximum entropy method; simulated annealing; spectral library

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