IJARAI Volume 2 Issue 3

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: Adaptive Group Organization Cooperative Evolutionary Algorithm for TSK-type Neural Fuzzy Networks Design

Abstract: This paper proposes a novel adaptive group organization cooperative evolutionary algorithm (AGOCEA) for TSK-type neural fuzzy networks design. The proposed AGOCEA uses group-based cooperative evolutionary algorithm and self-organizing technique to automatically design neural fuzzy networks. The group-based evolutionary divided populations to several groups and each group can evolve itself. In the proposed self-organizing technique, it can automatically determine the parameters of the neural fuzzy networks, and therefore some critical parameters have no need to be assigned in advance. The simulation results are shown the better performance of the proposed algorithm than the other learning algorithms.

Author 1: Sheng-Fuu Lin
Author 2: Jyun-Wei Chang

Keywords: TSK-type Neural Fuzzy Networks; Evolutionary Algorithm; Group based Symbiotic; Self Organization; System Identification

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Paper 2: Color Radiomap Interpolation for Efficient Fingerprint WiFi-based Indoor Location Estimation

Abstract: Indoor location estimation system based on existing 802.11 signal strength is becoming increasingly prevalent in the area of mobility and ubiquity. The user-based location determination system utilizes the information of the Signal Strength (SS) received from the surrounding Access Points (APs) to determine the user position. In this paper, we focus on the development of a user position estimation using existing WiFi environment for its low cost and ease of deployment and study fingerprint-based deterministic techniques for their simplicity and effectiveness. We present the color radio map interpolation method with ease to development, reduce the calibration effort on creating radio map while still retain the accuracy of user position estimation. The average accuracy error 1.108 meter is achieved on 1.25 meter x 2.5 meter of cell grid size.

Author 1: Kohei Arai
Author 2: Herman Tolle

Keywords: network; indoor localization; radio map; user monitoring, location estimation

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Paper 3: Content Based Image Retrieval by using Multi Layer Centroid Contour Distance

Abstract: In this paper we present a new approach to measuring similarity between two shape of object. In conventional method, centroid contour distance (CCD) is formed by measuring distance between centroid (center) and boundary of object, but this method cannot capture if an object have multiple boundary in the same angle. We develop a novel approach feature shape by measuring distance between centroid (center) and boundary of object that can capture multiple boundaries in the same angle or multi-layer centroid contour distance (MLCCD). The experiment result on simulation dataset and plankton dataset show that the proposed method (MLCCD) better than the conventional method (CCD).

Author 1: Kohei Arai
Author 2: Cahya Rahmad

Keywords: Content based Image Retrieval; CCD; MLCCD

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Paper 4: Predicting Quality of Answer in Collaborative Q/A Community

Abstract: Community Question Answering (CQA) services have emerged allowing information seekers pose their information need which is questions and receive answers from their fellow users, also participate in evaluating the questions or answers in a variety of topics. Within this community information seekers could interact and get information from a wide range of users, forming a heterogeneous social networks and interaction between users. A question may receive multiple answers from multiple users and the asker or the fellow users could choose the best answer. Freedom and convenience in participation, led to the diversity of the information. In this paper we present a general model to predict quality of information in a CQA by using non textual features. We showing and testing our quality measurement to a collection of question and answer pairs. In the future our models and predictions could be useful for predictor quality information as a recommender system to complete a collaborative learning.

Author 1: Kohei Arai
Author 2: ANIK Nur Handayani

Keywords: component; Collaborative; diversity of information; questions; answers; predict; non-textual feature

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Paper 5: Rice Crop Field Monitoring System with Radio Controlled Helicopter Based Near Infrared Cameras Through Nitrogen Content Estimation and Its Distribution Monitoring

Abstract: Rice crop field monitoring system with radio controlled helicopter based near infrared cameras is proposed together with nitrogen content estimation method for monitoring its distribution in the field in concern. Through experiments at the Saga Prefectural Agricultural Research Institute: SPARI, it is found that the proposed system works well for monitoring nitrogen content in the rice crop which indicates quality of the rice crop and its distribution in the field in concern. Therefore, it becomes available to maintain the rice crop fields in terms of quality control.

Author 1: Kohei Arai
Author 2: Yuko Miura
Author 3: Osamu Shigetomi
Author 4: Hideaki Munemoto

Keywords: radio controlled helicopter; near infrared camera; nitrogen content in the rice crop leaves; remote sensing;

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Paper 6: Regressive Analysis on Leaf Nitrogen Content and Near Infrared Reflectance and Its Application for Agricultural Farm Monitoring with Helicopter Mounted Near Infrared Camera

Abstract: Method for evaluation of nitrogen richness of tealeaves with near infrared reflectance is proposed. Also tea farm monitoring with helicopter mounted near infrared camera is proposed. Through experiments and regressive analysis, it is found that the proposed method and monitoring system is validated.

Author 1: Kohei Arai
Author 2: Sadayuki Akaisi
Author 3: Hideo Miyazaki
Author 4: Yasuyuki Watabe

Keywords: regressive analysis; nitrogen content; tealeaves; near infrared cameras; t

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Paper 7: A Knowledge-Based System Approach for Extracting Abstractions from Service Oriented Architecture Artifacts

Abstract: Rule-based methods have traditionally been applied to develop knowledge-based systems that replicate expert performance on a deep but narrow problem domain. Knowledge engineers capture expert knowledge and encode it as a set of rules for automating the expert’s reasoning process to solve problems in a variety of domains. We describe the development of a knowledge-based system approach to enhance program comprehension of Service Oriented Architecture (SOA) software. Our approach uses rule-based methods to automate the analysis of the set of artifacts involved in building and deploying a SOA composite application. The rules codify expert knowledge to abstract information from these artifacts to facilitate program comprehension and thus assist Software Engineers as they perform system maintenance activities. A main advantage of the knowledge-based approach is its adaptability to the heterogeneous and dynamically evolving nature of SOA environments.

Author 1: George Goehring
Author 2: Thomas Reichherzer
Author 3: Eman El-Sheikh
Author 4: Dallas Snider
Author 5: Norman Wilde
Author 6: Sikha Bagui
Author 7: John Coffey
Author 8: Laura J. White

Keywords: expertise; rule-based system; knowledge-based system; service oriented architecture; SOA; software maintenance; search tool.

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Paper 8: Evolutionary Approaches to Expensive Optimisation

Abstract: Surrogate assisted evolutionary algorithms (EA) are rapidly gaining popularity where applications of EA in complex real world problem domains are concerned. Although EAs are powerful global optimizers, finding optimal solution to complex high dimensional, multimodal problems often require very expensive fitness function evaluations. Needless to say, this could brand any population-based iterative optimization technique to be the most crippling choice to handle such problems. Use of approximate model or surrogates provides a much cheaper option. However, naturally this cheaper option comes with its own price! This paper discusses some of the key issues involved with use of approximation in evolutionary algorithm, possible best practices and solutions. Answers to the following questions have been sought: what type of fitness approximation to be used; which approximation model to use; how to integrate the approximation model in EA; how much approximation to use; and how to ensure reliable approximation.

Author 1: Maumita Bhattacharya

Keywords: Optimization; Evolutionary Algorithm, Approximation Model; Fitness Approximation; Meta-model; Surrogate

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Paper 9: Identification of Ornamental Plant Functioned as Medicinal Plant Based on Redundant Discrete Wavelet Transformation

Abstract: Human has a duty to preserve the nature. One of the examples is preserving the ornamental plant. Huge economic value of plant trading, escalating esthetical value of one space and medicine efficacy that contained in a plant are some positive values from this plant. However, only few people know about its medicine efficacy. Considering the easiness to obtain and the medicine efficacy, this plant should be an initial treatment of a simple disease or option towards chemical based medicines. In order to let people get acquaint, we need a system that can proper identify this plant. Therefore, we propose to build a system based on Redundant Discrete Wavelet Transformation (RDWT) through its leaf. Since its character is translation invariant that able to produce some robust features to identify ornamental plant. This system was successfully resulting 95.83% of correct classification rate.

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

Keywords: Identification; ornamental plant; leaf; wavelet; DWT; Redundant DWT; SVM.

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Paper 10: Robot Path Planning using An Ant Colony Optimization Approach:A Survey

Abstract: Path planning problem, is a challenging topic in robotics. Indeed, a significant amount of research has been devoted to this problem in recent years. The ant colony optimization algorithm is another approach to solve this problem. Each ant drops a quantity of artificial pheromone on every point that the ant passes through. This pheromone simply changes the probability that the next ant becomes attracted to a particular grid point. The techniques described in the paper adapt a global attraction term which guides ants to head toward the destination point. The paper describes the various techniques for the robot path planning using the Ant colony Algorithm. The paper also provides the brief comparison of the three techniques described in the paper.

Author 1: Alpa Reshamwala
Author 2: Deepika P Vinchurkar

Keywords: Path planning; Ant colony algorithm; collision avoidance.

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Paper 11: Vibration Control of MR Damper Landing Gear

Abstract: In the field of Automation, Fuzzy Control Fuzzy control has significant merits which are utilized in intelligent controllers, especially for vibration control systems. This paper is concerned with the application aspects of the developed MR damper for landing gear system, to attenuate the sustained vibrations during the landing phase. Also a comparative study is made on the responses obtained from the MR damper landing gear by utilizing PID and Fuzzy PID controllers.Theory is a well-known technique to acquire the desired response of different non-linear systems.

Author 1: Disha Saxena
Author 2: Harsh Rathore

Keywords: Magneto-Rheological (MR) damper; Proportional Integral Derivative (PID) Controller; Fuzzy Logic Controller (FLC)

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Paper 12: Decision Making and Emergency Communication System in Rescue Simulation for People with Disabilities

Abstract: Decision making and emergency communication system play important roles in rescue process when emergency situations happen. The rescue process will be more effective if we have appropriate decision making method and accessible emergency communication system. In this paper, we propose a centralized rescue model for people with disabilities. The decision making method to decide which volunteers should help which disabled persons is proposed by utilizing the auction mechanism. The GIS data are used to present the objects in a large-scale disaster simulation environment such as roads, buildings, and humans. The Gama simulation platform is used to test our proposed rescue simulation model.

Author 1: Kohei Arai
Author 2: Tran Xuan Sang

Keywords: Rescue Simulation for people with disablities; GIS Multi Agent-based Rescue Simulation; Auction based Decision Making

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