Computing framework is one of the key technologies in improving data analytics and processing efficiency. Since open source big data computing platform Hadoop was born ten years ago, many research achievements have been made in information acquisition, analytical processing and integrated services. Several improved frameworks were proposed against the limitations of the first generation of Map Reduce version 1 (MRv1) in scalability, reliability, efficient utilization of resource, and multiple computing model supports. This paper presents and analyzes these research results, such as batch computing framework, iterative computing framework, interactive computing framework, stream computing framework, and real-time computing framework. Undoubtedly, more targeted computing models will be generated in different application fields in the future, and these computing frameworks will play an increasingly important role in the field of big data.
{"title":"Research on the Computing Framework in Big Data Environment","authors":"Yunqing Liu, Jianhua Zhang, Shuqing Han, Mengshuai Zhu","doi":"10.1109/ICISCE.2016.125","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.125","url":null,"abstract":"Computing framework is one of the key technologies in improving data analytics and processing efficiency. Since open source big data computing platform Hadoop was born ten years ago, many research achievements have been made in information acquisition, analytical processing and integrated services. Several improved frameworks were proposed against the limitations of the first generation of Map Reduce version 1 (MRv1) in scalability, reliability, efficient utilization of resource, and multiple computing model supports. This paper presents and analyzes these research results, such as batch computing framework, iterative computing framework, interactive computing framework, stream computing framework, and real-time computing framework. Undoubtedly, more targeted computing models will be generated in different application fields in the future, and these computing frameworks will play an increasingly important role in the field of big data.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82912553","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}
On the DE-NOx catalyst production line, a kind of robotic manipulator is needed, which can pick up the workpiece from the V slots onto the production line, and send it to the designated location to immerse, then transport it to the packing location to palletize. This paper mainly discussed the overall design of the robotic manipulator and its correlation analysis. Firstly, the paper carries out the general design of the robotic manipulator according to the production requirements. Secondly, in order to verify whether the singular points exist in motion space and the motion space covers the workspace, with Monte Carlo method [1], the motion space is generated in Matlab. Finally, the kinematics simulation of the robotic manipulator is implemented to confirm the rationality of the robotic manipulator structure in the Adams environment.
{"title":"Design and Simulation of Immersing and Palletizing Robotic Manipulator for the De-NOx Catalyst Production Line","authors":"L. Shuiping, L. Xueqin, W. Liang","doi":"10.1109/ICISCE.2016.199","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.199","url":null,"abstract":"On the DE-NOx catalyst production line, a kind of robotic manipulator is needed, which can pick up the workpiece from the V slots onto the production line, and send it to the designated location to immerse, then transport it to the packing location to palletize. This paper mainly discussed the overall design of the robotic manipulator and its correlation analysis. Firstly, the paper carries out the general design of the robotic manipulator according to the production requirements. Secondly, in order to verify whether the singular points exist in motion space and the motion space covers the workspace, with Monte Carlo method [1], the motion space is generated in Matlab. Finally, the kinematics simulation of the robotic manipulator is implemented to confirm the rationality of the robotic manipulator structure in the Adams environment.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91542116","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}
Li Yuqing, Yang Tianshe, Chen Xueliang, Wang Rixin, Xu Minqiang
According to the characteristics of the power supply subsystem, this paper proposes a CUSUM control chart approach to tackle the anomaly detection and fault early warning for the satellite power supply subsystem. Firstly, through the comparison and analysis about satellites remote sensing data, this paper selects power hydrogen pressure value as a characteristic. Secondly, this paper establishes the CUSUM control chart of the power hydrogen pressure, and then detects anomaly in the satellite power system using this CUSUM control chart. Analysis of satellite telemetry data shows that when the satellite state is abnormal, the value of the characteristic will be changed and this can be recognized by the method presented in this paper, as well as the fault early warning will be given. That achieves the purposes on the satellite power system anomaly detection and fault early warning.
{"title":"An Anomaly Detection Algorithm of Satellite Power System Based on CUSUM Control Chart","authors":"Li Yuqing, Yang Tianshe, Chen Xueliang, Wang Rixin, Xu Minqiang","doi":"10.1109/ICISCE.2016.181","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.181","url":null,"abstract":"According to the characteristics of the power supply subsystem, this paper proposes a CUSUM control chart approach to tackle the anomaly detection and fault early warning for the satellite power supply subsystem. Firstly, through the comparison and analysis about satellites remote sensing data, this paper selects power hydrogen pressure value as a characteristic. Secondly, this paper establishes the CUSUM control chart of the power hydrogen pressure, and then detects anomaly in the satellite power system using this CUSUM control chart. Analysis of satellite telemetry data shows that when the satellite state is abnormal, the value of the characteristic will be changed and this can be recognized by the method presented in this paper, as well as the fault early warning will be given. That achieves the purposes on the satellite power system anomaly detection and fault early warning.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88927169","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}
The error caused by nonline-of-sight (NLOS) is main factor affecting the indoor wireless positioning accuracy. In order to eliminate the NLOS error and improve the positioning accuracy, genetic algorithm, genetic algorithm-Hill Climbing algorithm and genetic algorithm-Bacteria Foraging Optimization algorithm are applied to time difference of arrival (TDOA) positioning optimization in this paper. Research results show genetic algorithm-Bacteria Foraging Optimization algorithm, combined global search with local search, has the best performance in terms of positioning accuracy and convergence speed. This method is better in eliminating the NLOS error and improving the performance of real-time positioning.
{"title":"A Novel Indoor Intelligent Location Algorithm Based on GA-BFO","authors":"Z. Lan, Ma Hongmei, S. Changyin, Wu Xinqiao","doi":"10.1109/ICISCE.2016.261","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.261","url":null,"abstract":"The error caused by nonline-of-sight (NLOS) is main factor affecting the indoor wireless positioning accuracy. In order to eliminate the NLOS error and improve the positioning accuracy, genetic algorithm, genetic algorithm-Hill Climbing algorithm and genetic algorithm-Bacteria Foraging Optimization algorithm are applied to time difference of arrival (TDOA) positioning optimization in this paper. Research results show genetic algorithm-Bacteria Foraging Optimization algorithm, combined global search with local search, has the best performance in terms of positioning accuracy and convergence speed. This method is better in eliminating the NLOS error and improving the performance of real-time positioning.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91412646","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}
Measuring the solid density of mass standard is very important factor for measuring its mass. There are different National Metrology Institutes (NMIs) designed a system to measure solid density in different ranges of mass standard. This paper will describe the system that used to measure the solid density in National Institute for Standard (NIS) -- Egypt. Additionally, a controlled system is designed to make the measuring process very easy. The system is operating manually and automatically for measuring solid density of standard masses from 1 kg up to 20 kg by using PLC and touch screen to accommodate of whole calibration sequences. In addition, the optimization results are obtained to raise the performance of balance pan of the system. Different measurements have been used to validate the system for measuring the solid density of the mentioned masses. The uncertainty of measurements are 0.9 to 0.4 kg.m-3 with confidence level 95% (k = 2).
{"title":"Design, Control and Optimization of the Weighing Mechanism for the HWA-NIS up to 20 kg","authors":"B. Sayed, A. Azzam, B. M. Z. Abdou, A. Eltawil","doi":"10.1109/ICISCE.2016.74","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.74","url":null,"abstract":"Measuring the solid density of mass standard is very important factor for measuring its mass. There are different National Metrology Institutes (NMIs) designed a system to measure solid density in different ranges of mass standard. This paper will describe the system that used to measure the solid density in National Institute for Standard (NIS) -- Egypt. Additionally, a controlled system is designed to make the measuring process very easy. The system is operating manually and automatically for measuring solid density of standard masses from 1 kg up to 20 kg by using PLC and touch screen to accommodate of whole calibration sequences. In addition, the optimization results are obtained to raise the performance of balance pan of the system. Different measurements have been used to validate the system for measuring the solid density of the mentioned masses. The uncertainty of measurements are 0.9 to 0.4 kg.m-3 with confidence level 95% (k = 2).","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79221834","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}
Zohaib Mushtaq, Akbare Yaqub, Muhammad Jabbar, Adnan Khalid, Saania Iqbal, K. Zeb, Abid A. Naqvi
In Pakistan, 70% of the population lives in villages, where the source of income depends upon agriculture, livestock, and poultry sheds. In order to produce maximum meat, milk and other products one should have to focus on the growth of the animals. There are some crucial factors like the temperature, humidity level and suitable air flow in the shed to remove waste gasses. These factors are monitored by using Mamdani model based upon fuzzy logic technique to improve growth of animals. The main objective of this research is to design a controller and check out its simulation results to produce the most suitable results for the environment control of livestock sheds. The output parameters to control these inputs are Water sprinkler (Ws), Exhaust fan (Exf) and Auto Curtains (A.C). In this research, we focused on the Mamdani method in fuzzy logic to design fuzzy logic controller (FLC) to control the environmental parameters of a live stock shed in order to provide the most suitable conditions for the growth of animals.
{"title":"Environment Control System for Livestock Sheds Using Fuzzy Logic Technique","authors":"Zohaib Mushtaq, Akbare Yaqub, Muhammad Jabbar, Adnan Khalid, Saania Iqbal, K. Zeb, Abid A. Naqvi","doi":"10.1109/ICISCE.2016.209","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.209","url":null,"abstract":"In Pakistan, 70% of the population lives in villages, where the source of income depends upon agriculture, livestock, and poultry sheds. In order to produce maximum meat, milk and other products one should have to focus on the growth of the animals. There are some crucial factors like the temperature, humidity level and suitable air flow in the shed to remove waste gasses. These factors are monitored by using Mamdani model based upon fuzzy logic technique to improve growth of animals. The main objective of this research is to design a controller and check out its simulation results to produce the most suitable results for the environment control of livestock sheds. The output parameters to control these inputs are Water sprinkler (Ws), Exhaust fan (Exf) and Auto Curtains (A.C). In this research, we focused on the Mamdani method in fuzzy logic to design fuzzy logic controller (FLC) to control the environmental parameters of a live stock shed in order to provide the most suitable conditions for the growth of animals.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79234544","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}
With the power system in China had been divided into five major power grid, different stakeholders have been formed, so there is internal competition in the five major power grid. Furthermore, the pollution caused by power industry become seriously. So optimal economic scheduling of electric power system is very important. By optimization, the grid can not only increase revenue by reduce costs, but also can reduce pollution. However, power system optimal dispatch is a complicated and multi-object problem. In this paper, elite group guided quantum-inspired evolutionary algorithm has been adopted. The elite group at each iteration is composed of a certain number of individuals with better fitness values in the current population, all the individuals in the elite group cooperate together to affect quantum-inspired gates to produce off spring. As a weighted state preference can push the genes of individuals to evolve toward state '1'. Simulation results show that the new algorithm is effective.
{"title":"Optimal Economic Scheduling of Electric Power System Based on Elite Group Guided Quantum-Inspired Evolutionary Algorithms","authors":"Sheng Xiang, Yigang He","doi":"10.1109/ICISCE.2016.221","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.221","url":null,"abstract":"With the power system in China had been divided into five major power grid, different stakeholders have been formed, so there is internal competition in the five major power grid. Furthermore, the pollution caused by power industry become seriously. So optimal economic scheduling of electric power system is very important. By optimization, the grid can not only increase revenue by reduce costs, but also can reduce pollution. However, power system optimal dispatch is a complicated and multi-object problem. In this paper, elite group guided quantum-inspired evolutionary algorithm has been adopted. The elite group at each iteration is composed of a certain number of individuals with better fitness values in the current population, all the individuals in the elite group cooperate together to affect quantum-inspired gates to produce off spring. As a weighted state preference can push the genes of individuals to evolve toward state '1'. Simulation results show that the new algorithm is effective.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83257096","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}
Illumination compensation is a typical way for increasing the performance of image processing. Retinex algorithm compensates illumination work properly, however, it cannot deal with color constancy of images appropriately. This paper proposes a novel illumination compensation method by converting the image from RGB color space to HSI color space, and with I component enhanced by Retinex algorithm and S component adjusted adaptively in accordance with correlation coefficients. Experimental results show that our method can not only maintain the color of images when the color space conversion from HIS to RGB, but also get better image quality with enhanced brightness, contrast and information. It has the trait of upholding the color constancy.
{"title":"A Novel Illumination Compensation Method with Enhanced Retinex","authors":"Libo Zhang, Lin Yang, Tiejian Luo, Yihan Sun","doi":"10.1109/ICISCE.2016.28","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.28","url":null,"abstract":"Illumination compensation is a typical way for increasing the performance of image processing. Retinex algorithm compensates illumination work properly, however, it cannot deal with color constancy of images appropriately. This paper proposes a novel illumination compensation method by converting the image from RGB color space to HSI color space, and with I component enhanced by Retinex algorithm and S component adjusted adaptively in accordance with correlation coefficients. Experimental results show that our method can not only maintain the color of images when the color space conversion from HIS to RGB, but also get better image quality with enhanced brightness, contrast and information. It has the trait of upholding the color constancy.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87345443","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}
Infrared small target detection is still one of the key techniques in the infrared search and track systems. We proposed a robust and efficient detection method by exploiting low-rank and sparse representation. We extend traditional low-rank and sparse representation to temporal domain. Initially, we use the proposed method to locate the suspected position of a target in the first frame. Then, we shrink the detection region in local area by considering the fact that the target moves with small distance in the neighboring frames. Finally, we can extract the target trajectory by detecting the image frames iteratively. The proposed approach is tested on several infrared image sequences and compared with the classical target detection methods. The results show that our approach has good detection precision in different image sequences and also achieves better time efficiency than other methods.
{"title":"Robust Infrared Small Target Detection via Temporal Low-Rank and Sparse Representation","authors":"Haoyang Wei, Yihua Tan, Jin Lin","doi":"10.1109/ICISCE.2016.130","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.130","url":null,"abstract":"Infrared small target detection is still one of the key techniques in the infrared search and track systems. We proposed a robust and efficient detection method by exploiting low-rank and sparse representation. We extend traditional low-rank and sparse representation to temporal domain. Initially, we use the proposed method to locate the suspected position of a target in the first frame. Then, we shrink the detection region in local area by considering the fact that the target moves with small distance in the neighboring frames. Finally, we can extract the target trajectory by detecting the image frames iteratively. The proposed approach is tested on several infrared image sequences and compared with the classical target detection methods. The results show that our approach has good detection precision in different image sequences and also achieves better time efficiency than other methods.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87419695","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}
Synthesis integration of C4ISR system is being well studied in the field of military operational research. As current methodologies for integrating C4ISR system mostly focus on application integration and physical integration, while researches on business architecture integration mostly ignore important features of C4ISR system, e.g., Command and Control (C2) organizations and operational resources. In this paper, we propose a new approach for business architecture integration of C4ISR systems using Component Business Model (CBM). First, we discuss the mapping criterion for transforming the business component to its corresponding DoDAF models. Then a new framework for business architecture integration is introduced, consisting of two phases, i.e., the business component identification and the business component integration. After that, we describe the main processes and techniques of these two phases in detail, and a case study is carried out by using our approach.
C4ISR系统的综合集成在军事运筹学领域得到了广泛的研究。由于目前C4ISR系统集成的方法多侧重于应用集成和物理集成，而对业务架构集成的研究大多忽略了C4ISR系统的重要特征，如指挥与控制(C2)组织和作战资源。本文提出了一种利用组件业务模型(Component business Model, CBM)实现C4ISR系统业务架构集成的新方法。首先，我们讨论将业务组件转换为其相应的DoDAF模型的映射准则。然后介绍了一个新的业务体系结构集成框架，该框架包括业务组件识别和业务组件集成两个阶段。然后，我们详细描述了这两个阶段的主要流程和技术，并运用我们的方法进行了案例研究。
{"title":"A Component Business Model-Based Approach for Business Architecture Integration of C4ISR System","authors":"Jiong Fu, Ai-min Luo, Xueshan Luo, Junxian Liu","doi":"10.1109/ICISCE.2016.15","DOIUrl":"https://doi.org/10.1109/ICISCE.2016.15","url":null,"abstract":"Synthesis integration of C4ISR system is being well studied in the field of military operational research. As current methodologies for integrating C4ISR system mostly focus on application integration and physical integration, while researches on business architecture integration mostly ignore important features of C4ISR system, e.g., Command and Control (C2) organizations and operational resources. In this paper, we propose a new approach for business architecture integration of C4ISR systems using Component Business Model (CBM). First, we discuss the mapping criterion for transforming the business component to its corresponding DoDAF models. Then a new framework for business architecture integration is introduced, consisting of two phases, i.e., the business component identification and the business component integration. After that, we describe the main processes and techniques of these two phases in detail, and a case study is carried out by using our approach.","PeriodicalId":6882,"journal":{"name":"2016 3rd International Conference on Information Science and Control Engineering (ICISCE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87029416","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}
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