Pub Date : 2016-07-30DOI: 10.1109/CCSSE.2016.7784388
N. Ahamed, Zahari Bin Taha, Ismail Bin Mohd Khairuddin, M. Rabbi, S. A. M. Matiur Rahaman, K. Sundaraj
In efficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives rise to excess energy consumption which causes a huge problem in the current energy hungry world. In this paper, we present design of a fuzzy logic controller for the intelligent air-conditioning system. The performance of the controller is also simulated. The proposed controller has the adaptive nature to control fan and compressor speed which leads to reducing power consumption. Also, the system controls the operation mode to retain the healthy oxygen level and humid condition of the indoor environment.
{"title":"Fuzzy logic controller design for intelligent air-conditioning system","authors":"N. Ahamed, Zahari Bin Taha, Ismail Bin Mohd Khairuddin, M. Rabbi, S. A. M. Matiur Rahaman, K. Sundaraj","doi":"10.1109/CCSSE.2016.7784388","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784388","url":null,"abstract":"In efficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives rise to excess energy consumption which causes a huge problem in the current energy hungry world. In this paper, we present design of a fuzzy logic controller for the intelligent air-conditioning system. The performance of the controller is also simulated. The proposed controller has the adaptive nature to control fan and compressor speed which leads to reducing power consumption. Also, the system controls the operation mode to retain the healthy oxygen level and humid condition of the indoor environment.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130323912","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784343
Xuantao Zhang, Chenfei Qu, Botao Huang, Donglin Wang
Along with the continuous improvement of various properties of green building, the amount of data is more and more big. The operation and maintenance of the green buildings need to use these data to analyze and make decisions, and the premise of the data analysis is that the data collected by each system is accurate. In this paper, the data in the PV power generation system and the air conditioning system of the green building were analyzed and pre-treatment, using the Cook-distance algorithm based on the deletion model and improved LOF algorithm to analysis abnormal according to the characteristics of the data, and establishing a real-time detection model of abnormal data.
{"title":"Exception analysis and treatment of operation data in green building","authors":"Xuantao Zhang, Chenfei Qu, Botao Huang, Donglin Wang","doi":"10.1109/CCSSE.2016.7784343","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784343","url":null,"abstract":"Along with the continuous improvement of various properties of green building, the amount of data is more and more big. The operation and maintenance of the green buildings need to use these data to analyze and make decisions, and the premise of the data analysis is that the data collected by each system is accurate. In this paper, the data in the PV power generation system and the air conditioning system of the green building were analyzed and pre-treatment, using the Cook-distance algorithm based on the deletion model and improved LOF algorithm to analysis abnormal according to the characteristics of the data, and establishing a real-time detection model of abnormal data.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128680112","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784340
Wang Xing, Zhao Shu-zhi, Chu Hao, Li Yan
The Clarke and Wright's savings method is a classical and widely used heuristics for the Vehicle routing problem(VRP). It is an effective method which reaches a reasonably good solution for small and medium size problems. For large-scale VRP, more complex heuristics are developed by different scholars. In this paper, an improved savings method has been proposed based on modification the rules of forming new links during iteration. The improved savings method offers a better solution than the classical savings method in the given example. Numerical experiments are conducted to test the effectiveness of the algorithm. The result shows that the improved savings method offers a better solution than classical savings method in about 75 percent situation in every 1000 numerical experiments.
{"title":"An improved savings method for vehicle routing problem","authors":"Wang Xing, Zhao Shu-zhi, Chu Hao, Li Yan","doi":"10.1109/CCSSE.2016.7784340","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784340","url":null,"abstract":"The Clarke and Wright's savings method is a classical and widely used heuristics for the Vehicle routing problem(VRP). It is an effective method which reaches a reasonably good solution for small and medium size problems. For large-scale VRP, more complex heuristics are developed by different scholars. In this paper, an improved savings method has been proposed based on modification the rules of forming new links during iteration. The improved savings method offers a better solution than the classical savings method in the given example. Numerical experiments are conducted to test the effectiveness of the algorithm. The result shows that the improved savings method offers a better solution than classical savings method in about 75 percent situation in every 1000 numerical experiments.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127385212","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784392
Haokai Huang, Peijie Li
The paper focused on design and implementation of remote monitoring system for die casting units, which realized information management of die casting units. The Ethernet network architecture of the system was designed in consideration of the communication distance, communication quality and electromagnetic compatibility. The monitoring terminal used the OPC interface and the Ethernet technique to exchange data with the software PLC in industrial site. Due to the advantages of perfect function and friendly user interface, the industrial configuration software was used as a development tool for the human-computer interface design. The function and the arrangement of the human machine interface were designed according to the requirement of the company. The system realized production process monitoring and production information management through data collecting and processing. Machine status, operating parameters, injection data and production information could be found in HMI.
{"title":"Design of remote monitor system for die casting units","authors":"Haokai Huang, Peijie Li","doi":"10.1109/CCSSE.2016.7784392","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784392","url":null,"abstract":"The paper focused on design and implementation of remote monitoring system for die casting units, which realized information management of die casting units. The Ethernet network architecture of the system was designed in consideration of the communication distance, communication quality and electromagnetic compatibility. The monitoring terminal used the OPC interface and the Ethernet technique to exchange data with the software PLC in industrial site. Due to the advantages of perfect function and friendly user interface, the industrial configuration software was used as a development tool for the human-computer interface design. The function and the arrangement of the human machine interface were designed according to the requirement of the company. The system realized production process monitoring and production information management through data collecting and processing. Machine status, operating parameters, injection data and production information could be found in HMI.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130862951","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784357
Zhe Sun, Jinchuan Zheng, Z. Man
This paper presents an adaptive sliding mode (ASM) controller designed for a vehicle Steer-by-Wire (SbW) system. First, the SbW system is modeled as a second-order system from the steering motor input voltage to the front wheel steering angle. For simplicity, the tire-to-ground frictions and the self-aligning torque are treated as external disturbances acting on the SbW system. Next, an ASM controller is designed for the SbW system, which utilizes sliding mode control to handle the parametric uncertainties and an adaptive estimation scheme to estimate the coefficient of the self-aligning torque, respectively. Finally, experiments are carried out to validate the performance of the ASM control. The experimental results indicate that the proposed ASM controller possesses strong robustness and high tracking accuracy.
{"title":"Adaptive sliding mode control for a vehicle steer-by-wire system","authors":"Zhe Sun, Jinchuan Zheng, Z. Man","doi":"10.1109/CCSSE.2016.7784357","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784357","url":null,"abstract":"This paper presents an adaptive sliding mode (ASM) controller designed for a vehicle Steer-by-Wire (SbW) system. First, the SbW system is modeled as a second-order system from the steering motor input voltage to the front wheel steering angle. For simplicity, the tire-to-ground frictions and the self-aligning torque are treated as external disturbances acting on the SbW system. Next, an ASM controller is designed for the SbW system, which utilizes sliding mode control to handle the parametric uncertainties and an adaptive estimation scheme to estimate the coefficient of the self-aligning torque, respectively. Finally, experiments are carried out to validate the performance of the ASM control. The experimental results indicate that the proposed ASM controller possesses strong robustness and high tracking accuracy.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126300780","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784351
Ying Wu, Yanpeng Wu
In this paper, a newly robust control scheme that contains an enhanced smith predictor is proposed to adaptively estimate and identify control law on line to reply to the time-varying network induced delays. A control sequence that contains a series of control signals is generated from a queue of possible future time delays at the controller node and the final option on which control signal is selected is given to the actuator according to the actual transmission delay. Two buffers are used respectively at the controller node and actuator node, which can transform the continuous time-varying delays into several discrete values and make sure time delays exactly predicted. Finally the simulation results demonstrate the effectiveness of the proposed methods to guarantee the robust performance of networked control system with random time-varying delay.
{"title":"An enhanced smith predictor based robust control over networked control system with random time delays","authors":"Ying Wu, Yanpeng Wu","doi":"10.1109/CCSSE.2016.7784351","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784351","url":null,"abstract":"In this paper, a newly robust control scheme that contains an enhanced smith predictor is proposed to adaptively estimate and identify control law on line to reply to the time-varying network induced delays. A control sequence that contains a series of control signals is generated from a queue of possible future time delays at the controller node and the final option on which control signal is selected is given to the actuator according to the actual transmission delay. Two buffers are used respectively at the controller node and actuator node, which can transform the continuous time-varying delays into several discrete values and make sure time delays exactly predicted. Finally the simulation results demonstrate the effectiveness of the proposed methods to guarantee the robust performance of networked control system with random time-varying delay.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"70 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133719409","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784349
Liquan Zhao, Wang Xin, Wang Lin
Artificial Bee Colony (ABC) algorithm is a widely used optimization algorithm. However, it is good in exploration but poor in exploitation. To improve the optimization performance of ABC algorithm, two novel search mechanisms served as the search equations are proposed. Firstly, the improved algorithm integrates the information of previous best solution into the search equation in the onlookers to improve the exploitation. Secondly, the search policy of the scouts is modified, the distance between the optimal and the worst solutions is utilized to replace the worst solution, so as to avoid producing worse solution. The result shows that the proposed algorithm has higher precision and stability compared with other algorithms.
{"title":"A novel artificial bee colony algorithm for numerical function optimization","authors":"Liquan Zhao, Wang Xin, Wang Lin","doi":"10.1109/CCSSE.2016.7784349","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784349","url":null,"abstract":"Artificial Bee Colony (ABC) algorithm is a widely used optimization algorithm. However, it is good in exploration but poor in exploitation. To improve the optimization performance of ABC algorithm, two novel search mechanisms served as the search equations are proposed. Firstly, the improved algorithm integrates the information of previous best solution into the search equation in the onlookers to improve the exploitation. Secondly, the search policy of the scouts is modified, the distance between the optimal and the worst solutions is utilized to replace the worst solution, so as to avoid producing worse solution. The result shows that the proposed algorithm has higher precision and stability compared with other algorithms.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132811152","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784344
Sim Kok Swee, L. Z. You
In this paper, a Fast Fourier Analysis (FFA) with electroencephalogram (EEG) classification based brainwave controlled wheelchair is constructed. This wheelchair is directly controlled by the brain. Thus, it does not require physical feedback from the user. This project is aimed to improve the mind power. It is known as the focusing strength of the brain. By increasing the usage and focusing strength of the brain, it will reduce the risk of brain's degeneration. The method employed in this project is the Brain-Computer Interface (BCI). This method allows the brain to directly communicate with the electrical wheelchair. The recording of the brain's response is then implemented through EEG. This EEG signal is known as brainwaves signal. For EEG signal processing, the signal processing method is known as Fast-Fourier Transform Analysis and EEG Classification (FFTA & EEGC). This processing method generates the mental command of the user. Then, output electrical signal is generated according to the mental command. This electrical signal is sent wirelessly to the microcontroller of the electrical wheelchair. Through this, the electrical wheelchair performs the desired movement based on user's directional thought. In additional, the strength of the brain signal is also recorded for further analysis of user's mind power.
{"title":"Fast fourier analysis and EEG classification brainwave controlled wheelchair","authors":"Sim Kok Swee, L. Z. You","doi":"10.1109/CCSSE.2016.7784344","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784344","url":null,"abstract":"In this paper, a Fast Fourier Analysis (FFA) with electroencephalogram (EEG) classification based brainwave controlled wheelchair is constructed. This wheelchair is directly controlled by the brain. Thus, it does not require physical feedback from the user. This project is aimed to improve the mind power. It is known as the focusing strength of the brain. By increasing the usage and focusing strength of the brain, it will reduce the risk of brain's degeneration. The method employed in this project is the Brain-Computer Interface (BCI). This method allows the brain to directly communicate with the electrical wheelchair. The recording of the brain's response is then implemented through EEG. This EEG signal is known as brainwaves signal. For EEG signal processing, the signal processing method is known as Fast-Fourier Transform Analysis and EEG Classification (FFTA & EEGC). This processing method generates the mental command of the user. Then, output electrical signal is generated according to the mental command. This electrical signal is sent wirelessly to the microcontroller of the electrical wheelchair. Through this, the electrical wheelchair performs the desired movement based on user's directional thought. In additional, the strength of the brain signal is also recorded for further analysis of user's mind power.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129986504","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784346
Yun-ming Wang, Bo Chen, Dong Zhang, Lulu Xiong
Aiming at the network congestion of wireless sensor networks causing the problem of network quality of service reduced drastically, the paper proposes an improved ant-colony routing algorithm based on link weights. The algorithm by analyzing the factors of available bandwidth, transmission delay, which impacts link-state, to calculates the link weights and adjusts the size of the pheromone, the current status of nodes are reflected directly, network local congestion is avoided, network traffic is balanced; the algorithm through adjusting the link weights of evaporation coefficient to improve the global search ability. Simulation results show that the algorithm can control the network congestion and balance the network load distribution.
{"title":"Link weights-based ANT colony routing algorithm for wireless sensor networks","authors":"Yun-ming Wang, Bo Chen, Dong Zhang, Lulu Xiong","doi":"10.1109/CCSSE.2016.7784346","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784346","url":null,"abstract":"Aiming at the network congestion of wireless sensor networks causing the problem of network quality of service reduced drastically, the paper proposes an improved ant-colony routing algorithm based on link weights. The algorithm by analyzing the factors of available bandwidth, transmission delay, which impacts link-state, to calculates the link weights and adjusts the size of the pheromone, the current status of nodes are reflected directly, network local congestion is avoided, network traffic is balanced; the algorithm through adjusting the link weights of evaporation coefficient to improve the global search ability. Simulation results show that the algorithm can control the network congestion and balance the network load distribution.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"44 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116935328","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 : 2016-07-27DOI: 10.1109/CCSSE.2016.7784364
Luo Biao, Chen Shenggong
The design of the multi-function wireless monitoring system based on Android is designed in this paper. The system consists of superior-machine and lower-machine. The lower-machine takes ATmega16 as the core processor, and RCV420 is the signal processor for measuring and sampling the 4-20mA current signal. The superior-machine is connected with lower-machine to receive and send data by WIFI module and acquire eight environmental real-time variables. The superior-machine is based on Android Development Environment and Javascript which uses Client to obtain real-time variables and gets with function such as curve display, data saving and warning prompt. The system can obtain an value of scale 2048 points by setting the ID number. The field experiment and application shows that this system has good performance in remote monitoring of the multi-point environmental values and industrial production with high accuracy and real-time requirement.
{"title":"Design of multi-point wireless multifunction monitoring system based on Android","authors":"Luo Biao, Chen Shenggong","doi":"10.1109/CCSSE.2016.7784364","DOIUrl":"https://doi.org/10.1109/CCSSE.2016.7784364","url":null,"abstract":"The design of the multi-function wireless monitoring system based on Android is designed in this paper. The system consists of superior-machine and lower-machine. The lower-machine takes ATmega16 as the core processor, and RCV420 is the signal processor for measuring and sampling the 4-20mA current signal. The superior-machine is connected with lower-machine to receive and send data by WIFI module and acquire eight environmental real-time variables. The superior-machine is based on Android Development Environment and Javascript which uses Client to obtain real-time variables and gets with function such as curve display, data saving and warning prompt. The system can obtain an value of scale 2048 points by setting the ID number. The field experiment and application shows that this system has good performance in remote monitoring of the multi-point environmental values and industrial production with high accuracy and real-time requirement.","PeriodicalId":136809,"journal":{"name":"2016 2nd International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114358829","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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