IJARAI Volume 4 Issue 6

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: Yahoo!Search and Web API Utilized Mashup based e-Leaning Content Search Engine for Mobile Learning

Abstract: Mashup based content search engine for mobile devices is proposed. Mashup technology is defined as search engine with plural different APIs. Mash-up has not only the plural APIs, but also the following specific features, (1) it enables classifications of the contents in concern by using web 2.0, (2) it may use API from the different sites, (3) it allows information retrievals from both sides of client and server, (4) it may search contents as an arbitrary structured hybrid content which is mixed content formed with the individual content from the different sites, (5) it enabling to utilize REST, RSS, Atom, etc. which are formed from XML conversions. The mash-up should be a flexible search engine for any purposes of content retrievals. The proposed search system allows 3D space display of search menus with these peculiarities on Android devices. The proposed search system featuring Yahoo!search BOSS and Web API is also applied for e-learning content retrievals. It is confirmed that the system can be used for search a variety of e-learning content in concern efficiently.

Author 1: Kohei Arai

Keywords: Mashup; API; web 2.0; mobile devices; e-learning content; content retrieval; Yahoo!saerch BOSS; Web API

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Paper 2: Psychological Status Monitoring with Cerebral Blood Flow: CBF, Electroencephalogram: EEG and Electro-Oculogram: EOG Measurements

Abstract: Psychological status monitoring with cerebral blood flow (CBF), EEG and EOG measurements are attempted. Through experiments, it is confirmed that the proposed method for psychological status monitoring is valid. It is also found correlations among the amplitudes of peak alpha and beta as well as gamma frequency of EEG signals and EOG as well as cerebral blood flow. Therefore, psychological status can be monitored with either EEG measurements or cerebral blood flow and EOG measurements.

Author 1: Kohei Arai

Keywords: Cerebral Blood Flow; CBF; EEG; EOG; psychological status

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Paper 3: Relations between Psychological Status and Eye Movements

Abstract: Relations between psychological status and eye movements are found through experiments with readings of different types of documents as well as playing games. Psychological status can be monitored with Electroencephalogram: EEG sensor while eye movements can be monitored with Near Infrared: NIR cameras with NIR Light Emission Diode: LED. EEG signals are suffred from noises while eye movement can be acquired without any influence from nise. Therefore, psychlogical status can be monitored with eye movement detection instead of EEG signal acquisition if there is relation between both. Through the experiments, it is found strong relation between both. In particular, relation between the number of rapid changes of line of sight directions and relatively high frequency components of EEG signals is found. It is also found that the number of rapid eye movement is counted when the users are reading the documents. The rapid eye movement is defined as 10 degrees of look angle difference for one second. Not only when the users change the lines in the document, but also when the users feel a difficulty for reading words in the document, the users’ line of sight direction moves rapidly.

Author 1: Kohei Arai

Keywords: EEG; eye movement; psychological status; alpha wave; beta wave

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Paper 4: Mobile Device Based Personalized Equalizer for Improving Hearing Capability of Human Voices in Particular for Elderly Persons

Abstract: Mobile device based personalized equalizer for improving the hearing capability of human voices in particular for elderly persons are proposed. Through experiments, it is found that the proposed equalizer does work well for improving hearing capability by 2 to 55 % of voice Recognition success ratio. According to the investigation of the frequency component analysis and formant detections, most of the voice sounds have the formant frequencies for the first to third frequencies within the range of 3445 Hz. Therefore, a nonlinear equalizing multiplier is better to enhance the frequency components for the first to third formants in particular. The experimental results with the voice above input experiments show that a good Percent Correct Recognition: PCR is required for 0 to more than 8000 Hz of frequency components. Also, 8162 Hz cut off frequency would be better for both noise suppressions and keeping a good PCR

Author 1: Kohei Arai
Author 2: Takuto Konishi

Keywords: Frequency response equalization; mobile devices; formount frequancy; hearing capability; hearing aids

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Paper 5: Iris Compression and Recognition using Spherical Geometry Image

Abstract: this research is considered to be a research to attract attention to the 3D iris compression to store the database of the iris. Actually, the 3D iris database cannot be found and in trying to solve this problem 2D iris database images are converted to 3D images just to implement the compression techniques used in 3D domain to test it and give an approximation results or to focus on this new direction in research. In this research a fully automated 3D iris compression and recognition system is presented. We use spherical based wavelet coefficients for efficient representation of the 3D iris. The spherical wavelet transformation is used to decompose the iris image into multi-resolution sub images. The representation of features based on spherical wavelet parameterization of the iris image was proposed for the 3D iris compression system. To evaluate the performance of the proposed approach, experiments were performed on the CASIA Iris database. Experimental results show that the spherical wavelet coefficients yield excellent compression capabilities with minimal set of features. Haar wavelet coefficients extracted from the iris image was found to generate good recognition results.

Author 1: Rabab M. Ramadan

Keywords: 3D Iris Recognition; Iris Compression; Geometry coding; Spherical Wavelets

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Paper 6: Gram–Schmidt Process in Different Parallel Platforms

Abstract: Important operations in numerical computing are vector orthogonalization. One of the well-known algorithms for vector orthogonalisation is Gram–Schmidt algorithm. This is a method for constructing a set of orthogonal vectors in an inner product space, most commonly the Euclidean space Rn. This process takes a finite, linearly independent set S = {b1, b2, …, bk} vectors for k = n and generates an orthogonal set S1 = {o1, o2, …, ok}. Like the most of the dense operations and big data processing problems, the Gram–Schmidt process steps can be performed by using parallel algorithms and can be implemented in parallel programming platforms. The parallelized algorithm is dependent to the platform used and needs to be adapted for the optimum performance for each parallel platform. The paper shows the algorithms and the implementation process of the Gram –Schmidt vector orthogonalosation in three different parallel platforms. The three platforms are: a) control flow shared memory hardware systems with OpenMP, b) control flow distributed memory hardware systems with MPI and c) dataflow architecture systems using Maxeler Data Flow Engines hardware. Using as single running example a parallel implementation of the computation of the Gram –Schmidt vector orthogonalosation, this paper describes how the fundamentals of parallel programming, are dealt in these platforms. The paper puts into evidence the Maxeler implementation of the Gram–Schmidt algorithms compare to the traditional platforms. Paper treats the speedup and the overall performance of the three platforms versus sequential execution for 50-dimensional Euclidian space.

Author 1: Genci Berati

Keywords: Gram-Schmidt Algorithm; Parallel programming model; OpenMP; MPI; Control Flow architecture

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Paper 7: A Heuristic Approach for Minimum Set Cover Problem

Abstract: The Minimum Set Cover Problem has many prac-tical applications in various research areas. This problem belongs to the class of NP-hard theoretical problems. Several approxima-tion algorithms have been proposed to find approximate solutions to this problem and research is still going on to optimize the solution. This paper studies the existing algorithms of minimum set cover problem and proposes a heuristic approach to solve the problem using modified hill climbing algorithm. The effectiveness of the approach is tested on set cover problem instances from OR-Library. The experimental results show the effectiveness of our proposed approach.

Author 1: Fatema Akhter

Keywords: Set Cover; Greedy Algorithm; LP Rounding Algo-rithm; Hill Climbing Method

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