IJARAI Vol. 2 Issue 7 (2013)

Open Access | | 7 papers

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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Comparative study between the proposed shape independent clustering method and the conventional methods (K-means and the other)

Author 1: Kohei Arai Author 2: Cahya Rahmad

Cluster analysis aims at identifying groups of similar objects and, therefore helps to discover distribution of patterns and interesting correlations in the data sets. In this paper, we propose to provide a consistent partitioning of a dataset which allows identifying any shape of cluster patterns in case of numerical clustering… Read full abstract & cite →

clustering algorithms mlccd shape independence clustering

Abstract doi.org/10.14569/IJARAI.2013.020701 PDF

Effect of Driver Scope Awareness in the Lane Changing Maneuvers Using Cellular Automaton Model

Author 1: Kohei Arai Author 2: Steven Ray Sentinuwo

This paper investigated the effect of drivers’ visibility and their perception (e.g., to estimate the speed and arrival time of another vehicle) on the lane changing maneuver. The term of scope awareness was used to describe the visibility required by the driver to make a perception about road condition and… Read full abstract & cite →

scope awareness lane changing meneuver speed estimation spontaneous braking.

Abstract doi.org/10.14569/IJARAI.2013.020702 PDF

Validity of Spontaneous Braking and Lane Changing with Scope of Awareness by Using Measured Traffic Flow

Author 1: Kohei Arai Author 2: Steven Ray Sentinuwo

This paper presents the validation method and its evaluation of the spontaneous braking and lane changing with scope awareness parameter. By using the real traffic flow data, the traffic cellular automaton model that accommodate these two driver behaviors, e.g., spontaneous braking and driver scope awareness has been compared and evaluated… Read full abstract & cite →

traffic model validation spontaneous braking scope awareness traffic cellular automaton.

Abstract doi.org/10.14569/IJARAI.2013.020703 PDF

Recovering Method of Missing Data Based on Proposed Modified Kalman Filter When Time Series of Mean Data is Known

Author 1: Kohei Arai

Recovering method of missing data based on the proposed modified Kalman filter for the case that the time series of mean data is know is proposed. There are some cases of which although a portion of data is missing, mean value of the time series of data is known. For… Read full abstract & cite →

Kalman filter nremote sensing satellite image time series analysis

Abstract doi.org/10.14569/IJARAI.2013.020704 PDF

3D Skeleton model derived from Kinect Depth Sensor Camera and its application to walking style quality evaluations

Author 1: Kohei Arai Author 2: Rosa Andrie Asmara

Feature extraction for gait recognition has been created widely. The ancestor for this task is divided into two parts, model based and free-model based. Model-based approaches obtain a set of static or dynamic skeleton parameters via modeling or tracking body components such as limbs, legs, arms and thighs. Model-free approaches… Read full abstract & cite →

Disable gait classification 3D Skeleton Model SVM Biometrics

Abstract doi.org/10.14569/IJARAI.2013.020705 PDF

Contradiction Resolution between Self and Outer Evaluation for Supervised Multi-Layered Neural Networks

Author 1: Ryotaro Kamimura

In this paper, we propose a new type of informationtheoretic method. We suppose that a neuron should be evaluated from different points of view to precisely discern its properties. In this paper, we restrict ourselves to two types of evaluation methods for neurons, namely, self and outer-evaluation. A neuron fires… Read full abstract & cite →

contradiction resolution self- and outer-evaluation visualization self-organizing maps

Abstract doi.org/10.14569/IJARAI.2013.020706 PDF

Weapon Target Assignment with Combinatorial Optimization Techniques

Author 1: Asim Tokgöz Author 2: Serol Bulkan

Weapon Target Assignment (WTA) is the assignment of friendly weapons to the hostile targets in order to protect friendly assets or destroy the hostile targets and considered as a NP-complete problem. Thus, it is very hard to solve it for real time or near-real time operational needs. In this study… Read full abstract & cite →

Weapon Target Assignment Combinatorial Optimization Genetic Algorithm Tabu Search Simulated Annealing Variable Neighborhood Search WTA WASA TEWASA

Abstract doi.org/10.14569/IJARAI.2013.020707 PDF

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