IJARAI Volume 2 Issue 6

Paper 1: Enterprise Architecture Model that Enables to Search for Patterns of Statistical Information

Abstract: Enterprise architecture is the stem from which developing of any departmental information system should grow and around which it should revolve. In the paper, a fragment of an enterprise architecture model is built using ArchiMate language. This fragment enables to search for information in enterprises which do not work in productive industry. Such enterprises include official statistics. The proposed model embraces all three architectural levels of corresponding information systems, namely, OLTP, OLAP, and Data Mining. Particularly, the latter level enables to search for patterns of statistical information.

Author 1: Oleg Chertov

Keywords: Enterprise Architecture; Pattern Search; Data Mining; Architecture Description Language

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Paper 2: Clustering Web Documents based on Efficient Multi-Tire Hashing Algorithm for Mining Frequent Termsets

Abstract: Document Clustering is one of the main themes in text mining. It refers to the process of grouping documents with similar contents or topics into clusters to improve both availability and reliability of text mining applications. Some of the recent algorithms address the problem of high dimensionality of the text by using frequent termsets for clustering. Although the drawbacks of the Apriori algorithm, it still the basic algorithm for mining frequent termsets. This paper presents an approach for Clustering Web Documents based on Hashing algorithm for mining Frequent Termsets (CWDHFT). It introduces an efficient Multi-Tire Hashing algorithm for mining Frequent Termsets (MTHFT) instead of Apriori algorithm. The algorithm uses new methodology for generating frequent termsets by building the multi-tire hash table during the scanning process of documents only one time. To avoid hash collision, Multi Tire technique is utilized in this proposed hashing algorithm. Based on the generated frequent termset the documents are partitioned and the clustering occurs by grouping the partitions through the descriptive keywords. By using MTHFT algorithm, the scanning cost and computational cost is improved moreover the performance is considerably increased and increase up the clustering process. The CWDHFT approach improved accuracy, scalability and efficiency when compared with existing clustering algorithms like Bisecting K-means and FIHC.

Author 1: Noha Negm

Author 2: Passent Elkafrawy

Author 3: Mohamed Amin

Author 4: Abdel Badeeh M. Salem

Keywords: Document Clustering; Knowledge Discovery; Hashing; Frequent termsets; Apriori algorithm; Text Documents; Text Mining; Data Mining

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Paper 3: A Structural Algorithm for Complex Natural Languages Parse Generation

Abstract: In artificial intelligence, the study of how humans understand natural languages is cognitive based and such science is essential in the development of a modern day embedded robotic systems. Such systems should have the capability to process natural languages and generate meaningful output. As against machines, humans have the ability to understand a natural language sentence due to the in-born facility inherent in them and such is used to process it. Robotics requires appropriate PARSE systems to be developed in order to handle language based operations. In this paper, we present a new method of generating parse structures on complex natural language using algorithmic processes. The paper explores the process of generating meaning via parse structure and improves on the existing results using well established parsing scheme. The resulting algorithm was implemented in Java and a natural language interface for parse generation is presented. The result further shows that tokenizing sentences into their respective units affects the parse structure in the first instance and semantic representation in the larger scale. Efforts were made to limit the rules used in the generation of the grammar since natural language rules are almost infinite depending on the language set. (Abstract)

Author 1: Enikuomehin, A. O.

Author 2: Rahman

Author 3: Ameen

Keywords: Natural Language; Syntax; Parsing; Meaning Representation

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Paper 4: Category Decomposition Method Based on Matched Filter for Un-Mixing of Mixed Pixels Acquired with Spaceborne Based Hyperspectral Radiometers

Abstract: Category decomposition method based on matched filter for un-mixing of mixed pixels: mixels which are acquired with spaceborne based hyperspectral radiometers is proposed. Through simulation studies with simulated mixed pixels which are created with spectral reflectance data derived from USGS spectral library as well as actual airborne based hyperspectral radiometer imagery data, it is found that the proposed method works well with acceptable decomposition accuracy.

Author 1: Kohei Arai

Keywords: category decomposition; hyperspectral radiometer; mixed pixel; un-mixing; matched filter;

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Paper 5: Parallelization of 2-D IADE-DY Scheme on Geranium Cadcam Cluster for Heat Equation

Abstract: A parallel implementation of the Iterative Alternating Direction Explicit method by D’Yakonov (IADE-DY) for solving 2-D heat equation on a distributed system of Geranium Cadcam cluster (GCC) using the Message Passing Interface (MPI) is presented. The implementation of the scheduling of n tri-diagonal system of equations with the above method was used to show improvement on speedup, effectiveness, and efficiency. The Master/Worker paradigm and Single Program Multiple Data (SPMD) model is employed to manage the whole computation based on the use of domain decomposition. The completion of the execution can need task recovery and favorable configuration. The above mentioned details consist of a main report about the numerical validation of the parallelization through simulation to demonstrate the proposed method effectiveness on the cluster system. It was found that the rate of convergence decreases as the number of processors increases. The result of this paper suggests that the 2-D IADE-DY scheme is a good approach to solving problems, particularly when it is simulation with more processors.

Author 1: Simon Uzezi Ewedafe

Author 2: Rio Hirowati Shariffudin

Keywords: Parallel Implementation; Heat Equation; SPMD; IADE-DY; Domain Decomposition

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Paper 6: An Efficient Routing Protocol under Noisy Environment for Mobile Ad Hoc Networks using Fuzzy Logic

Abstract: A MANET is a collection of mobile nodes communicating and cooperating with each other to route a packet from the source to their destinations. A MANET is used to support dynamic routing strategies in absence of wired infrastructure and centralized administration. In this paper, we propose a routing algorithm for the mobile ad hoc networks based on fuzzy logic to discover an optimal route for transmitting data packets to the destination. This protocol helps every node in MANET to choose next efficient successor node on the basis of channel parameters like environment noise and signal strength. The protocol improves the performance of a route by increasing network life time, reducing link failure and selecting best node for forwarding the data packet to next node.

Author 1: Supriya Srivastava

Author 2: A. K. Daniel

Keywords: Fuzzy Logic; Noise; Signal Strength; MANET

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Paper 7: Lecturer’s e-Table (Server Terminal) Which Allows Monitoring the Location at Where Each Student is Looking During Lessons with e-Learning Contents Through Client Terminals

Abstract: Lecturer’s e-Table (Server Terminal) which allows monitoring the location at where each student is looking during lessons with e-learning contents through Client Terminals is proposed. Through the lessons with e-learning contents through client terminal, it is obvious that student can take the lessons much efficiently when the student are looking at the appropriate location at where the lecturers would like the students look at. It, however, is not always that the student is looking at the appropriate location even if the system indicates the appropriate location. The proposed system of lecturer’s e-table of server terminal allows monitoring the location at where each student is looking. Therefore, lecturer can make a caution to the student for the appropriate location at where the student has to be looking at. Through experiments with students, it is found that the achievement test score with the indication of appropriate location is much better than that without the indication. Also, learning efficiency with the caution is much greater than that without the caution.

Author 1: Kohei Arai

Keywords: e-learning; line of sight estimation; e-table for lecturers; eye based Human-Computer Interaction;

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Paper 8: Method for 3D Rendering Based on Intersection Image Display Which Allows Representation of Internal Structure of 3D objects

Abstract: Method for 3D rendering based on intersection image display which allows representation of internal structure is proposed. The proposed method is essentially different from the conventional volume rendering based on solid model which allows representation of just surface of the 3D objects. By using afterimage, internal structure can be displayed through exchanging the intersection images with internal structure for the proposed method. Through experiments with CT scan images, the proposed method is validated. Also one of other applicable areas of the proposed for design of 3D pattern of Large Scale Integrated Circuit: LSI is introduced. Layered patterns of LSI can be displayed and switched by using human eyes only. It is confirmed that the time required for displaying layer pattern and switching the pattern to the other layer by using human eyes only is much faster than that using hands and fingers.

Author 1: Kohei Arai

Keywords: 3D object display; volume rendering; solid model; afterimage; line of sight vector

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Paper 9: 3D Map Creation Based on Knowledgebase System for Texture Mapping Together with Height Estimation Using Objects’ Shadows with High Spatial Resolution Remote Sensing Satellite Imagery Data

Abstract: Method for 3D map creation based on knowledgebase system for texture mapping together with height estimation using objects’ shadows with high spatial resolution of remote sensing satellite imagery data is proposed. Through the experiments with IKONOS imagery data, the proposed method is validated.

Author 1: Kohei Arai

Keywords: texture mapping; remote sensing satellite; 3D map; object height estimation;

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Paper 10: Monte Carlo Ray Tracing Based Adjacency Effect and Nonlinear Mixture Pixel Model for Remote Sensing Satellite Imagery Data Analysis

Abstract: Monte Carlo Ray Tracing: MCRT based adjacency effect and nonlinear mixture pixel model is proposed for remote sensing satellite imagery data analysis. Through simulation and actual visible to near infrared radiometer onboard spaceborne data utilizing experiment, the proposed model is confirmed and validated. Therefore, influences due to adjacency effect and nonlinearity of mixed pixel can be taken into account in the remote sensing satellite imagery data analysis.

Author 1: Kohei Arai

Keywords: adjucency effect; nonlinear mixed pixel model; Monte Carlo method; Ray tracing method

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Paper 11: Method for Psychological Status Monitoring with Line of Sight Vector Changes (Human Eye Movements) Detected with Wearing Glass

Abstract: Method for psychological status monitoring with line of sight vector changes (human eye movement) detected with wearing glass is proposed. Succored eye movement should be an indicator of humans’ psychological status. Probability of succored eye movement, therefore, is measured. Through experiments with simple and complicated documents, relation between psychological status measured with eeg signals and the probability of succored eye movements is clarified. It is found that there is strong relation between both results in psychological status can be estimated with eye movement measurements.

Author 1: Kohei Arai

Author 2: Kiyoshi Hasegawa

Keywords: psychological status; eye movement; eye detection and tracking; eeg signal;

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Paper 12: Mobile Devices Based 3D Image Display Depending on User’s Actions and Movements

Abstract: Method and system for 3D image display onto mobile phone and/or tablet terminal is proposed. Displaying 3D images are changed in accordance with user’s location and attitude as well as some motions. Also 3D images can be combined with real world images and virtual images. Through implementation and experiments with virtual images, all functionalities are verified and validated. One of applications of the proposed system is attempted for demonstration of virtual interior of the house in concern. User can take a look at the inside house in accordance with user’s movement. Thus user can imagine how the interior of the house looks like.

Author 1: Kohei Arai

Author 2: Herman Tolle

Author 3: Akihiro Serita

Keywords: 3D image representation; argumented reality; virtual reality;

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Paper 13: Relative Motion of Formation Flying with Elliptical Reference Orbit

Abstract: In this paper we present the optimal control of the relative motion of formation flying consisting of two spacecrafts. One of the spacecraft is considered as the chief, orbiting the Earth on a Highly Elliptical Orbit(HEO), and the other ,orbiting the chief, is considered as the deputy. The Keplerian relative dyanmics of the formation as well as the the second zonal hamonics of the Earth’s gravitational field (J2) are studied. To study these perturbative effect the linearized true anomaly varying Tschauner-Hempel equations are augmented to include the effect of J2. We solve the nonlinear feedback optimal control of the relative motion using the state dependent Riccati Equation( SDRE). The results are validated through a nummerical example.

Author 1: Hany R Dwidar

Author 2: Ashraf H. Owis

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