IJARAI Vol. 2 Issue 3 (2013)

1

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

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

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.

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

Abstract doi.org/10.14569/IJARAI.2013.020301 PDF

2

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

Author 1: Kohei Arai Author 2: Herman Tolle

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.

network indoor localization radio map user monitoring location estimation

Abstract doi.org/10.14569/IJARAI.2013.020302 PDF

3

Content Based Image Retrieval by using Multi Layer Centroid Contour Distance

Author 1: Kohei Arai Author 2: Cahya Rahmad

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).

Content based Image Retrieval CCD MLCCD

Abstract doi.org/10.14569/IJARAI.2013.020303 PDF

4

Predicting Quality of Answer in Collaborative Q/A Community

Author 1: Kohei Arai Author 2: ANIK Nur Handayani

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.

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

Abstract doi.org/10.14569/IJARAI.2013.020304 PDF

5

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

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

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.

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

Abstract doi.org/10.14569/IJARAI.2013.020305 PDF

6

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

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

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.

regressive analysis nitrogen content tealeaves near infrared cameras t

Abstract doi.org/10.14569/IJARAI.2013.020306 PDF

7

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

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

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.

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

Abstract doi.org/10.14569/IJARAI.2013.020307 PDF

8

Evolutionary Approaches to Expensive Optimisation

Author 1: Maumita Bhattacharya

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.

Optimization Evolutionary Algorithm Approximation Model Fitness Approximation Meta-model Surrogate

Abstract doi.org/10.14569/IJARAI.2013.020308 PDF

9

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

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

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.

Identification ornamental plant leaf wavelet DWT Redundant DWT SVM.

Abstract doi.org/10.14569/IJARAI.2013.020309 PDF

10

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

Author 1: Alpa Reshamwala Author 2: Deepika P Vinchurkar

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.

Path planning Ant colony algorithm collision avoidance.

Abstract doi.org/10.14569/IJARAI.2013.020310 PDF

11

Vibration Control of MR Damper Landing Gear

Author 1: Disha Saxena Author 2: Harsh Rathore

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.

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

Abstract doi.org/10.14569/IJARAI.2013.020311 PDF

12

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

Author 1: Kohei Arai Author 2: Tran Xuan Sang

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.

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

Abstract doi.org/10.14569/IJARAI.2013.020312 PDF

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