2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)最新文献_第5页

Path planning navigation of mobile robot with obstacles avoidance using fuzzy logic controller 基于模糊控制器的移动机器人避障路径规划导航

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103914

A. Pandey, R. Sonkar, K. K. Pandey, D. Parhi

{"title":"Path planning navigation of mobile robot with obstacles avoidance using fuzzy logic controller","authors":"A. Pandey, R. Sonkar, K. K. Pandey, D. Parhi","doi":"10.1109/ISCO.2014.7103914","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103914","url":null,"abstract":"Autonomous mobile robots are used in several application areas including manufacturing, mining, military, and transportation, search and protect missions, etc. For the navigation system it is necessary to locate the position of the mobile robot in surrounding environment. For avoiding obstacles efficiently and to reach the target under many different shapes of obstacle in environment, a fuzzy logic controller has been designed to improve the movement of mobile robot according to obstacles positions by defining or establishing input variables, output variables, fuzzy logic membership functions, fuzzy logic rule base `If-Then' fuzzy inference system rules and defuzzification method. Then it has to plan a path towards desired goal. The navigation system of a mobile robot has to identify all potential obstacles in order to search for a collision free path. Obstacles avoidance and destination point can be achieved by changing the direction angle of the mobile robot. To make the mobile robot move in its environment, the basic path planning strategies have been used. While the mobile robot is navigating in its workspace environment, it avoids obstacles and look for the target. In this paper the simulation of path planning technique for an autonomous mobile robot is presented. The figure shows simulation of the mobile robot with four obstacles.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116484904","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: 82

A cryptography using advanced substitution technique and symmetric key generating algorithm 采用先进的替换技术和对称密钥生成算法的密码系统

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103948

S. Gomathi

引用次数: 4

Message from chairman and managing trustee 主席及管理受托人的话

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ecs.2015.7124725

R Vasanthakumar

引用次数: 0

Message from organising secretary 组织秘书致辞

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/isco.2014.7103902

O. Secretary

引用次数: 0

Digital pendulum system: Genetic fuzzy-based online tuning of PID controller 数字摆系统:基于遗传模糊的PID控制器在线整定

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103912

S. Mukherjee, Shashank Pandey, S. Mukhopadhyay, N. Hui

引用次数: 3

QoS agent based framework and algorithm for task scheduling in grid 基于QoS agent的网格任务调度框架与算法

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103947

T. Dhivyaprabha

引用次数: 2

An effectual elucidation of task scheduling and memory partitioning for MPSoC 对MPSoC的任务调度和内存分区进行了有效的阐述

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103963

A. Poorani, B. Anuradha, C. Vivekanadhan

{"title":"An effectual elucidation of task scheduling and memory partitioning for MPSoC","authors":"A. Poorani, B. Anuradha, C. Vivekanadhan","doi":"10.1109/ISCO.2014.7103963","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103963","url":null,"abstract":"In upcoming technologies multiprocessors are used for the efficient performance improvement. The multi processor system on chip is the complex embedded system used in multimedia applications for the resource utilization and simultaneous accessing. The MPSoC is the processor which uses the n number of resources such as peripherals, devices and processing elements for the improvisation of speed and performance which in turn reduces the execution time and energy dissipation. In general we use the offchip memory which has the cache in order to reduce the time of data fetch. In off chip memory access they use the decoupled approach where the partitioning and allocation of tasks to processor are done separately. Scratch Pad Memory is the fast on-chip memory which is the part of integrated chip memory (RAM). The SPM is the on-chip memory which can be used for the integration approach of task scheduling and memory partitioning. The integrated approach uses heuristics algorithm which increases the performance but when data needed is not available it leads to cache conflict. Thus the cache conflict is also been resolved by the use of segmented LRU algorithm. By the use of these two algorithms the execution cycle time is been reduced which can be evaluated using various benchmarks.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126232498","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

Power oscillation damping of two machine system 双机系统的功率振荡阻尼

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103938

P. Krishnagandhi

引用次数: 2

Supervisory control of standalone wind/solar energy generation systems 独立风能/太阳能发电系统的监控

2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO) Pub Date : 1900-01-01 DOI: 10.1109/ISCO.2014.7103944

M. Prakash, R. Preetha

{"title":"Supervisory control of standalone wind/solar energy generation systems","authors":"M. Prakash, R. Preetha","doi":"10.1109/ISCO.2014.7103944","DOIUrl":"https://doi.org/10.1109/ISCO.2014.7103944","url":null,"abstract":"The use of renewable energy technology to meet the energy demands has been increasing for the past few years. However, the important drawbacks associated with renewable energy systems are their inability to guarantee reliability and their intermittent nature. At present, standalone solar photovoltaic energy system cannot provide reliable power during night time or non-sunny days. The standalone wind system cannot satisfy constant load demands due to fluctuations in the magnitude of wind speeds from hour to hour throughout the year. This work focuses on the development of a supervisory model predictive control method for the optimal management and operation of hybrid standalone wind-solar energy generation systems. The proposed method is to design the supervisory control system via model predictive control which computes the power references for the wind and solar subsystems. The power references are sent to two local controllers which drive the two subsystems to the requested power references. The system is modeled in MATLAB SIMULINK and simulation results show that maximum power generated from hybrid system at varying environmental conditions.","PeriodicalId":119329,"journal":{"name":"2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127164080","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: 1