Pub Date : 2017-03-25DOI: 10.1109/IAEAC.2017.8054108
A. Waheed, B. Aslam, M. Awais
Recently, smart robots and smart systems have acquired extensive research. Combination of control engineering along with automation engineering and artificial intelligence has given birth to the next generation robotic systems and modern control engineering. Intelligent agent which is considered as the basic building block is discussed in this paper then based on the theory of artificial intelligence, image processing and control system a robotic model which is called a Combi-Forklift robot is proposed. Different kind of machines have been researched which are named as robot. Some of them contain complex mechanical structure, others contain of complex electrical circuits and some of them are designed based on extensive work of programming. Some robots recognize voice, while other recognizes the image. Some are good in audio communication and some are combined with all such properties in a human like body. Moreover, robots have been researched and designed based on application, model or domain. In this paper we have proposed a combi-forklift robot by implementing a sensor network as an agent of artificial intelligence. The sensor network acts as the intelligent interface between the human being and the robot in a way that it observes the motion and gesture of human being and communicates the commands to our designed robot in order to perform application based activities. Since the indoor sensor network based system acts as intelligent agent, therefore the outdoor combi-forklift robot acts as the effector.
{"title":"Design of an indoor intelligent agent with outdoor Combi-Forklift robot as effector","authors":"A. Waheed, B. Aslam, M. Awais","doi":"10.1109/IAEAC.2017.8054108","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054108","url":null,"abstract":"Recently, smart robots and smart systems have acquired extensive research. Combination of control engineering along with automation engineering and artificial intelligence has given birth to the next generation robotic systems and modern control engineering. Intelligent agent which is considered as the basic building block is discussed in this paper then based on the theory of artificial intelligence, image processing and control system a robotic model which is called a Combi-Forklift robot is proposed. Different kind of machines have been researched which are named as robot. Some of them contain complex mechanical structure, others contain of complex electrical circuits and some of them are designed based on extensive work of programming. Some robots recognize voice, while other recognizes the image. Some are good in audio communication and some are combined with all such properties in a human like body. Moreover, robots have been researched and designed based on application, model or domain. In this paper we have proposed a combi-forklift robot by implementing a sensor network as an agent of artificial intelligence. The sensor network acts as the intelligent interface between the human being and the robot in a way that it observes the motion and gesture of human being and communicates the commands to our designed robot in order to perform application based activities. Since the indoor sensor network based system acts as intelligent agent, therefore the outdoor combi-forklift robot acts as the effector.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127206313","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054209
K. Cui, Xi Chen, Jingjian Huang, N. Yuan
Under the influence of the radome of the active and passive radar, the uniform circular array (UCA) becomes non-uniform in the electromagnetic performance, so the accuracy of direction of arrive (DOA) estimation is not high. This paper presents a universal look-up table algorithm for 5-element circular array to solve the problem. Firstly, we traverse the view field of the radar to obtain the long baseline phase differences of each angle point and store them to obtain the lookup table. Then, we can solve the incoming signal's long baseline phase differences on the array and compare them with the phase differences stored in the lookup table according to the maximum cosine value criterion. Finally, we can get the closest point and the corresponding angle is the angle of the incoming signal. Numerical simulation results and experimental results verify the effectiveness of the algorithm.
{"title":"A novel DOA estimation algorithm for a 5-element circular array","authors":"K. Cui, Xi Chen, Jingjian Huang, N. Yuan","doi":"10.1109/IAEAC.2017.8054209","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054209","url":null,"abstract":"Under the influence of the radome of the active and passive radar, the uniform circular array (UCA) becomes non-uniform in the electromagnetic performance, so the accuracy of direction of arrive (DOA) estimation is not high. This paper presents a universal look-up table algorithm for 5-element circular array to solve the problem. Firstly, we traverse the view field of the radar to obtain the long baseline phase differences of each angle point and store them to obtain the lookup table. Then, we can solve the incoming signal's long baseline phase differences on the array and compare them with the phase differences stored in the lookup table according to the maximum cosine value criterion. Finally, we can get the closest point and the corresponding angle is the angle of the incoming signal. Numerical simulation results and experimental results verify the effectiveness of the algorithm.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115420453","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054200
Chuan Zhang
With the rapid expanding of Internet of Things, context-aware technology has become a research hotspot. At present, most of the context modeling technologies are based on ontology, however, due to the limitations of ontology, the ontology framework is very poor for the uncertainty reasoning. A few experiments have been introduced fuzzy theory into the context-aware, but the results are not satisfying and many problems are unsolved. In addition, previous studies process the context information uniformly without considering the specific characteristics of different types of context information. In this paper, we have designed FuzWare context-aware middleware, which offers a context-aware service based on fuzzy theory. In the middleware, the context information is divided into two parts according to the information sources. The result shows that FuzWare achieves good function expansion and attains accurate reasoning.
{"title":"FuzWare: A fuzzy-based middleware for context-aware service","authors":"Chuan Zhang","doi":"10.1109/IAEAC.2017.8054200","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054200","url":null,"abstract":"With the rapid expanding of Internet of Things, context-aware technology has become a research hotspot. At present, most of the context modeling technologies are based on ontology, however, due to the limitations of ontology, the ontology framework is very poor for the uncertainty reasoning. A few experiments have been introduced fuzzy theory into the context-aware, but the results are not satisfying and many problems are unsolved. In addition, previous studies process the context information uniformly without considering the specific characteristics of different types of context information. In this paper, we have designed FuzWare context-aware middleware, which offers a context-aware service based on fuzzy theory. In the middleware, the context information is divided into two parts according to the information sources. The result shows that FuzWare achieves good function expansion and attains accurate reasoning.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124390330","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054103
Hanyu Li, Yao Shen, Chong Wang, Huan Yang, Riaz Ali
User interests model is a central issue for information recommender systems. Basically, a user interests model aims to describe a user's interests precisely in order to improve the quality of information access. However there are three challenges for developing a user interests model, i.e. initial user information acquisition, user profile representation and description of user interests evolution. In this paper, we try to solve the problems by employing tags. We propose a user interests model which creates users' profiles based on tags named interest tags and we implement a mechanism to dynamically update users' profiles through analyzing their reading behaviour. The proposed user interests model can distinguish between long-term interests and short-term interests. We also present how the model can be integrated into a recommender system to help analyze users' interests. We conduct experiments on massive text information collected from the Web and the results show the effectiveness of our model.
{"title":"Reading behaviour based user interests model and its application in recommender system","authors":"Hanyu Li, Yao Shen, Chong Wang, Huan Yang, Riaz Ali","doi":"10.1109/IAEAC.2017.8054103","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054103","url":null,"abstract":"User interests model is a central issue for information recommender systems. Basically, a user interests model aims to describe a user's interests precisely in order to improve the quality of information access. However there are three challenges for developing a user interests model, i.e. initial user information acquisition, user profile representation and description of user interests evolution. In this paper, we try to solve the problems by employing tags. We propose a user interests model which creates users' profiles based on tags named interest tags and we implement a mechanism to dynamically update users' profiles through analyzing their reading behaviour. The proposed user interests model can distinguish between long-term interests and short-term interests. We also present how the model can be integrated into a recommender system to help analyze users' interests. We conduct experiments on massive text information collected from the Web and the results show the effectiveness of our model.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114668245","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}
This paper proposes an improved particle swarm optimization (PSO) algorithm to solve the sensor configuring optimization problem for the harmonic monitoring in the power grid. The model of the tested and un-tested node voltage and current is firstly set up. Then the PSO algorithm, which uses the logistic chaos method to obtain the initialized value for a better ergodic property and normalizes the existence possibility of the harmonic source based on least square fitting, is employed to calculate the best sensor installing locations and the minimum sensor numbers. The case study of East China power system has confirmed the effectiveness of the proposed method. It is shown that the proposed method requires less computing cycle indexes but meanwhile has the satisfied accuracy. The achievements obtained in this paper will be beneficial for the sensor configuring optimization for grid harmonic monitoring.
{"title":"Sensor configuring optimization for grid harmonic monitoring based on improved PSO algorithm","authors":"Mengmeng Jia, Liang Chen, Xiaodong Yuan, Yu‐Ling He, Lu-Jia Zhao","doi":"10.1109/IAEAC.2017.8054430","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054430","url":null,"abstract":"This paper proposes an improved particle swarm optimization (PSO) algorithm to solve the sensor configuring optimization problem for the harmonic monitoring in the power grid. The model of the tested and un-tested node voltage and current is firstly set up. Then the PSO algorithm, which uses the logistic chaos method to obtain the initialized value for a better ergodic property and normalizes the existence possibility of the harmonic source based on least square fitting, is employed to calculate the best sensor installing locations and the minimum sensor numbers. The case study of East China power system has confirmed the effectiveness of the proposed method. It is shown that the proposed method requires less computing cycle indexes but meanwhile has the satisfied accuracy. The achievements obtained in this paper will be beneficial for the sensor configuring optimization for grid harmonic monitoring.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116937321","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054423
Yang Liu, Lunwen Wang
Because of the many and dense signals in high frequency (HF) band, the complex electromagnetic environment and relatively limited resources, the efficiency of HF reception is not high. To solve this problem, a resource scheduling method for HF reception based on improved ant colony optimization (ACO) algorithm was proposed to reach cooperative HF reception. The parameter values of the ant colony optimization algorithm was optimized based on particle swarm optimization (PSO) thought, the new pheromone update method was presented, which combines the global asynchronous feature and elitist strategy to avoid the defects of the optimization algorithm such as slowly to converge and easily to fall into local optimum. The simulation experiments showed that the algorithm mentioned is not only able to get an effective solution, but also can significantly improve the convergence speed.
{"title":"Resource scheduling for HF reception based on improved ant colony optimization algorithm","authors":"Yang Liu, Lunwen Wang","doi":"10.1109/IAEAC.2017.8054423","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054423","url":null,"abstract":"Because of the many and dense signals in high frequency (HF) band, the complex electromagnetic environment and relatively limited resources, the efficiency of HF reception is not high. To solve this problem, a resource scheduling method for HF reception based on improved ant colony optimization (ACO) algorithm was proposed to reach cooperative HF reception. The parameter values of the ant colony optimization algorithm was optimized based on particle swarm optimization (PSO) thought, the new pheromone update method was presented, which combines the global asynchronous feature and elitist strategy to avoid the defects of the optimization algorithm such as slowly to converge and easily to fall into local optimum. The simulation experiments showed that the algorithm mentioned is not only able to get an effective solution, but also can significantly improve the convergence speed.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120970701","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054010
Huimin Gao, Yangeng Wen, W. Liang, Zhengtang Liu
Routing and wavelength assignment (RWA) is one of the vital optical network issues of optical networks. With the tradeoff between the idle ratio and reliability of the candidate route, this paper researches a dynamic RWA algorithm for optical networks by introducing a factor of RWA dynamic weight to reach high demands of transmit speed and transmit quality. With the comprehensive consideration of the routing factors, i.e., idle ratio and reliability. Simulation study shows that the proposed algorithm improves the performances of network blocking ratio, packet loss ratio and link utilization greatly, and the effectiveness of the algorithm is validated.
{"title":"Research on dynamic routing and wavelength assignment algorithm for optical networks","authors":"Huimin Gao, Yangeng Wen, W. Liang, Zhengtang Liu","doi":"10.1109/IAEAC.2017.8054010","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054010","url":null,"abstract":"Routing and wavelength assignment (RWA) is one of the vital optical network issues of optical networks. With the tradeoff between the idle ratio and reliability of the candidate route, this paper researches a dynamic RWA algorithm for optical networks by introducing a factor of RWA dynamic weight to reach high demands of transmit speed and transmit quality. With the comprehensive consideration of the routing factors, i.e., idle ratio and reliability. Simulation study shows that the proposed algorithm improves the performances of network blocking ratio, packet loss ratio and link utilization greatly, and the effectiveness of the algorithm is validated.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121041306","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054112
Jingzhi Liu, Xu Shun, Wang Kai, Zhichun Gan
Sparse representation based classification has recently been shown to provide excellent results in many object recognition and classification tasks. The high cost of computing, however, is a major obstacle that limits the applicability of these methods in battlefield information process scenarios where process time and computational power is restricted. In this paper, we study a fast and computationally efficient sparse representation classification scheme for battlefield textual information in which the block sparsity of sparse coefficients is exploited. A novel sparse approximation algorithm tailored for this low complexity classification method is proposed. Experiment results show that our classification algorithm that leverages the sparse structure of the textual information outperforms plain sparse representation classification procedures in both classification accuracy and computationally efficiency.
{"title":"Sparse representation classification for battlefield textual information","authors":"Jingzhi Liu, Xu Shun, Wang Kai, Zhichun Gan","doi":"10.1109/IAEAC.2017.8054112","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054112","url":null,"abstract":"Sparse representation based classification has recently been shown to provide excellent results in many object recognition and classification tasks. The high cost of computing, however, is a major obstacle that limits the applicability of these methods in battlefield information process scenarios where process time and computational power is restricted. In this paper, we study a fast and computationally efficient sparse representation classification scheme for battlefield textual information in which the block sparsity of sparse coefficients is exploited. A novel sparse approximation algorithm tailored for this low complexity classification method is proposed. Experiment results show that our classification algorithm that leverages the sparse structure of the textual information outperforms plain sparse representation classification procedures in both classification accuracy and computationally efficiency.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123663733","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054153
Longwei Li, Haiyanc Hu, Chengke Xu, Renhui Zhang, Chunguang Li
Recently, guide robot has step into people's lives gradually. This paper designed a set of mobile chassis system according to the characteristics of guide robot, and a practical control system for guide robot based on magnetic navigation and RFID (Radio Frequency Identification). The robot has been used in a variety of situation because of good stability and practicability.
{"title":"Research and design of a guide robot system","authors":"Longwei Li, Haiyanc Hu, Chengke Xu, Renhui Zhang, Chunguang Li","doi":"10.1109/IAEAC.2017.8054153","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054153","url":null,"abstract":"Recently, guide robot has step into people's lives gradually. This paper designed a set of mobile chassis system according to the characteristics of guide robot, and a practical control system for guide robot based on magnetic navigation and RFID (Radio Frequency Identification). The robot has been used in a variety of situation because of good stability and practicability.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127034347","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}
Pub Date : 2017-03-01DOI: 10.1109/IAEAC.2017.8054379
Jilan Li, Chunli Wang, Xin Zhang
A micro-strip quasi-Yagi antenna is improved in this paper. The antenna unit for X band is designed. The number of the directors is increased in order to improve the gain of the antenna. The length of the directors, the width of the directors and the space of each directors are simulated and analyzed by the simulation software HFSS. The results show that: the bandwidth of the antenna is greater than 30%, the gain of the antenna is 3.57dB. The smaller size of the antenna is easy to design antenna array, and it has a good application.
{"title":"The design of a new X band antenna element","authors":"Jilan Li, Chunli Wang, Xin Zhang","doi":"10.1109/IAEAC.2017.8054379","DOIUrl":"https://doi.org/10.1109/IAEAC.2017.8054379","url":null,"abstract":"A micro-strip quasi-Yagi antenna is improved in this paper. The antenna unit for X band is designed. The number of the directors is increased in order to improve the gain of the antenna. The length of the directors, the width of the directors and the space of each directors are simulated and analyzed by the simulation software HFSS. The results show that: the bandwidth of the antenna is greater than 30%, the gain of the antenna is 3.57dB. The smaller size of the antenna is easy to design antenna array, and it has a good application.","PeriodicalId":432109,"journal":{"name":"2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114897924","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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