IJARAI Volume 2 Issue 11

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: Case Study on Effectiveness Evaluation of Buisiness Procedure Reengineering: BPR for Local Government in Saga Prefecture, Japan

Abstract: Case study on validation of effeteness of Business Procedure Reengineering: BPR for local government in Saga prefecture, Japan is conducted. As the results, if it found that BPR is effective. The local government, environment established a government CIO room introduction of a number system was a long-cherished wish is determined in 2013, it is possible to promote e- government and e-municipality and the banner of great incredibly plan called "world-leading creative nation" is being put into place some. We would like you to realize the municipality a cloud can be enhanced administrative services to pour our best to take this opportunity, give the impression to the residents as possible; the operational efficiency of the civil service, the foundation is reduced large flower IT costs

Author 1: Kohei Arai
Author 2: Youm Jong Sun

Keywords: Business Procedure Reengineering: BPR; local government

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Paper 2: Free Open Source Software: FOSS Based e-learning, Mobile Learning Systems Together with Blended Learning System

Abstract: Free Open Source Software: FOSS based e-learning system is proposed together with blended learning and mobile learning. Mashup search engine for e-learning contents search and content adaptation from e-learning to mobile learning content are also implemented. Through implementation of the proposed system, it is found that the system does work well for improvement of learning efficiency.

Author 1: Kohei Arai

Keywords: e-learning; blended learning; foree open source softeware; mushup; mobile learning

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Paper 3: Method for Tealeaves Quality Estimation Through Measurements of Degree of Polazation, Leaf Area Index, Photosynthesis Available Radiance and Normalized Difference Vegetation Index for Characterization of Tealeaves

Abstract: Method for tealeaves quality estimation through measurements of Degree of Polarization: DP, Leaf Area Index: LAI, Photosynthesis Available Radiance: PAR and Normalized Difference Vegetation Index: NDVI for characterization of tealeaves is proposed. The method allows estimations of PAR, NDVI, Grow Index: GI by using measured Degree of Polarization: DP of tealeaves. Through experiments at the tea farm areas, it is found that the proposed method is validated. Also, the method is validated through Monte Carlo Ray Tracing: MCRT simulations for discrimination between prolate and oblate shapes of tealeaves. In accordance with growing tealeaves, prolate shape of tealeaves changes their shape to oblate shape. Therefore, growing stage can be estimated with DP measurements.

Author 1: Kohei Arai

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

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Paper 4: Frequent Physical Health Monitoring as Vital Signs with Psychological Status Monitoring for Search and Rescue of Handicapped, Diseased and Eldery Persons

Abstract: Method and system for frequent health monitoring as vital signs with psycholo9gical status monitoring for search and rescue of handicapped person is proposed. Heart beat pulse rate, body temperature, blood pressure, blesses and consciousness is well known vital signs. In particular for Alzheimer diseased persons, handicapped peoples, etc. it is very important to monitor vital signs in particular in the event of evacuation from disaster occurred areas together with location and attitude information. Then such persons who need help for evacuation can be survived. Through experiments wearing the proposed sensors with three normal persons including male and female, young and elder persons and one diseased person, it is found that the proposed system is useful. It is also found that the proposed system can be used for frequent health condition monitoring. Furthermore, physical health monitoring error due to psychological condition can be corrected with the proposed system.

Author 1: Kohei Arai

Keywords: vital sign; heart beat puls ratee; body temperature; blood pressure; blesses; consciousnes; seonsor network

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Paper 5: Fisher Distance Based GA Clustering Taking Into Account Overlapped Space Among Probability Density Functions of Clusters in Feature Space

Abstract: Fisher distance based Genetic Algorithm: GA clustering method which takes into account overlapped space among probability density functions of clusters in feature space is proposed. Through experiments with simulation data of 2D and 3D feature space generated by random number generator, it is found that clustering performance depends on overlapped space among probability density function of clusters. Also it is found relation between cluster performance and the GA parameters, crossover and mutation probability as well as the number of features and the number of clusters.

Author 1: Kohei Arai

Keywords: GA clustering; Fisher distance; crossover; mutation; overlapped space among probability density functions of clusters

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Paper 6: Sub-goal based Robot Visual Navigation through Sensorial Space Tesselation

Abstract: In this paper, we propose an evolutionary cognitive architecture to enable a mobile robot to cope with the task of visual navigation. Initially a graph based world representation is used to build a map, prior to navigation, through an appearance based scheme using only features associated with color information. During the next step, a genetic algorithm evolves a navigation controller that the robot uses for visual servoing, driving through a set of nodes on the topological map. Experiments in simulation show that an evolved robot, adapted to both exteroceptive and proprioceptive data, is able to successfully drive through a list of sub-goals minimizing the problem of local minima in which evolutionary process can sometimes get trapped. We also show that this approach is more expressive for defining a simplistic fitness formula yet descriptive enough for targeting specific goals.

Author 1: George Palamas
Author 2: J. Andrew Ware

Keywords: Self Organization; Growing Neural Gas; Genetic Algorithm; Robot Map Building; Visual Servoing; Recurrent Neural Network

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Paper 7: Prediction of assets behavior in financial series using machine learning algorithms

Abstract: The prediction of financial assets using either classification or regression models, is a challenge that has been growing in the recent years, despite the large number of publications of forecasting models for this task. Basically, the non-linear tendency of the series and the unexpected behavior of assets (compared to forecasts generated in studies of fundamental analysis or technical analysis) make this problem very hard to solve. In this work, we present for this task some modeling techniques using Support Vector Machines (SVM) and a comparative performance analysis against other basic machine learning approaches, such as Logistic Regression and Naive Bayes. We use an evaluation set based on company stocks of the BVM&F, the official stock market in Brazil, the third largest in the world. We show good prediction results, and we conclude that it is not possible to find a single model that generates good results for every asset. We also present how to evaluate such parameters for each model. The generated model can also provide additional information to other approaches, such as regression models.

Author 1: Diego Esteves da Silva
Author 2: Julio Cesar Duarte

Keywords: Forecasting; Stock Market; Machine Learning; Financial Series

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