2015 6th International Conference on Intelligent Systems, Modelling and Simulation最新文献_第4页

Data Fusion Strategy for Precise Vehicle Location for Intelligent Self-Aware Maintenance Systems 面向智能自感知维修系统的车辆精确定位数据融合策略

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.37

Maurizio Bevilacqua, Antonios Tsourdos, Andrew Starr, I. Durazo-Cardenas

引用次数: 8

3D Point Cloud-Based Virtual Environment for Safe Testing of Robot Control Programs: Measurement Range Expansion through Linking of Multiple Kinect v2 Sensors 用于机器人控制程序安全测试的基于3D点云的虚拟环境:通过连接多个Kinect v2传感器扩展测量范围

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.19

H. Hisahara, Seigen Hane, H. Takemura, Yuki Chin, T. Ogitsu, H. Mizoguchi

{"title":"3D Point Cloud-Based Virtual Environment for Safe Testing of Robot Control Programs: Measurement Range Expansion through Linking of Multiple Kinect v2 Sensors","authors":"H. Hisahara, Seigen Hane, H. Takemura, Yuki Chin, T. Ogitsu, H. Mizoguchi","doi":"10.1109/ISMS.2015.19","DOIUrl":"https://doi.org/10.1109/ISMS.2015.19","url":null,"abstract":"Virtual environments are required for safe testing of robot control programs. However, it is important that the virtual environment of the robot simulator adequately reproduces the color and shape information of a real environment. In this study, we use point cloud data obtained from multiple Kinect v2 sensors for building a virtual environment. The coordinate systems of the point clouds obtained from the sensors are unified using the ICP algorithm. Then, a 3D model of the virtual environment consisting of color and shape information of the real environment is generated using Kinect Fusion. Finally, based on the 3D model, the virtual environment is built using the robot simulator Open HRP3. Experiments are conducted to compare the measurement range of the virtual environment that has been reproduced using a single Kinect v2 sensor and four Kinect v2 sensors. Moreover, we calculate the correlation coefficients of the images obtained by a camera sensor in the virtual environment and those obtained by a camera sensor in the real environment. The results show that the measurement range is expanded, and the images of the virtual environment and the real environment exhibit high similarity.","PeriodicalId":128830,"journal":{"name":"2015 6th International Conference on Intelligent Systems, Modelling and Simulation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116235860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Revolutionizing Farming Using Swarm Robotics 使用蜂群机器人革新农业

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.26

H. Anil, K. Nikhil, V. Chaitra, B. S. Guru Sharan

{"title":"Revolutionizing Farming Using Swarm Robotics","authors":"H. Anil, K. Nikhil, V. Chaitra, B. S. Guru Sharan","doi":"10.1109/ISMS.2015.26","DOIUrl":"https://doi.org/10.1109/ISMS.2015.26","url":null,"abstract":"Swarm robotics is a diligence of swarm intelligence, it deals with natural and artificial systems in an environment composed of many individuals that co-ordinate using decentralized control to perform a certain task or work towards a common goal in the presence of a co-ordinator. This highly adaptable and self-organized system of robots is a new approach to co-ordination of multi robot systems. Incorporating this system of robots revolutionizing the process of farming is one of the major breakthroughs in this generation of robotics. This synopsis mainly deals with application of this completely autonomous system in scouting, ploughing, providing water, harvesting etc., also constantly monitoring the crops during its growth period and keeping the farmer informed about the crops year round. This system is implemented by reducing the constraints of cost and power consumption, hence diluting the amount of hardware required for its implementation without compromising the quality of service. It also proposes a simple operation mechanism for high efficiency of the system and simple communication protocol to ensure fast intermediate data exchange. Lastly, throws light on the future challenges to be faced and its application of the same structure in various fields.","PeriodicalId":128830,"journal":{"name":"2015 6th International Conference on Intelligent Systems, Modelling and Simulation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128806563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Bug Detection Using Particle Swarm Optimization with Search Space Reduction 基于搜索空间缩减的粒子群算法的Bug检测

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.20

Arun Reungsinkonkarn, P. Apirukvorapinit

{"title":"Bug Detection Using Particle Swarm Optimization with Search Space Reduction","authors":"Arun Reungsinkonkarn, P. Apirukvorapinit","doi":"10.1109/ISMS.2015.20","DOIUrl":"https://doi.org/10.1109/ISMS.2015.20","url":null,"abstract":"A bug detection tool is an important tool in software engineering development. Many research papers have proposed techniques for detecting software bug, but there are certain semantic bugs that are not easy to detect. In our views, a bug can occur from incorrect logics that when a program is executed with a particular input, the program will behave in unexpected ways. In this paper, we propose a method and tool for software bugs detection by finding such input that causes an unexpected output guided by the fitness function. The method uses a Hierarchical Similarity Measurement Model (HSM) to help create the fitness function to examine a program behavior. Its tool uses Particle Swarm Optimization (PSO) with Search Space Reduction (SSR) to manipulate input by contracting and eliminating unfavorable areas of input search space. The programs under experiment were selected from four different domains such as financial, decision support system, algorithms and machine learning. The experimental result shows a significant percentage of success rate up to 93% in bug detection, compared to an estimated success rate of 28% without SSR.","PeriodicalId":128830,"journal":{"name":"2015 6th International Conference on Intelligent Systems, Modelling and Simulation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122661660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Selecting Bilateral Transactions for Minimum Losses in Deregulated Power System -- An Assignment Model Approach 解除管制电力系统中双边交易的最小损失选择——一种分配模型方法

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.35

Jadhav Bhagyashri, Ghawghawe Nitin

引用次数: 0

On Modeling of Wireless MIMO Optical Channel 无线MIMO光信道建模研究

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.10

A. Al-Ka'bi

引用次数: 0

A Fault Detection Algorithm Using an Adaptive Fading Kalman Filter for Various Types of GNSS Fault 基于自适应衰落卡尔曼滤波的GNSS故障检测算法

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.18

Sun Young Kim, C. Kang, Chan Gook Park

引用次数: 3

Emulation of Software Defined Networks Using Mininet in Different Simulation Environments 软件定义网络在不同仿真环境下的Mininet仿真

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.46

Faris Keti, Shavan K. Askar

引用次数: 102

Extracting and Encoding Mutually Sensed Region in Wireless Multimedia Sensor Networks to Remove Redundancy 无线多媒体传感器网络中互感区域的提取与编码以消除冗余

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.23

Hasina Attaullah, Sahar Ahmad, Muhammad Faisal Khan

引用次数: 0

Naïve Bayes Classifier Based Traffic Prediction System on Cloud Infrastructure Naïve基于Bayes分类器的云基础设施流量预测系统

2015 6th International Conference on Intelligent Systems, Modelling and Simulation Pub Date : 2015-02-09 DOI: 10.1109/ISMS.2015.45

Swe Swe Aung, Thinn Thu Naing

引用次数: 12