Pub Date : 2016-09-01DOI: 10.1109/IConAC.2016.7604968
Qian Xu, Zhengxu Zhao, Weihua Zhao
Space navigation is rendezvousing craft to reach its intended destination with a proper velocity vector and in scheduled time. Alleviating the restrictions imposed by power based payload on maneuvering has been a research hotspot in these communities and it has been a longtime standing challenge for craft to execute accurate flight missions according to implementable navigation operations out of deep space where recognizable references are difficult to establish. Most of the present solutions rely on high-cost and low-efficiency space communication and navigation to assist the journey of crafts in deep space. This paper is to investigate a mapping model dedicated to navigating crafts in deep space. The model has been studied and developed from a conventional technique known as Orientation Movement (or called Directional Movement) in other research fields, such as botany, biology, kinematics, electrochemistry, and commercial science. The paper demonstrates the feasibility of using the model to establish an effective navigation mechanism for orientation movements in deep space.
{"title":"From orientation movement to space navigation: Toward a novel explorative model","authors":"Qian Xu, Zhengxu Zhao, Weihua Zhao","doi":"10.1109/IConAC.2016.7604968","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604968","url":null,"abstract":"Space navigation is rendezvousing craft to reach its intended destination with a proper velocity vector and in scheduled time. Alleviating the restrictions imposed by power based payload on maneuvering has been a research hotspot in these communities and it has been a longtime standing challenge for craft to execute accurate flight missions according to implementable navigation operations out of deep space where recognizable references are difficult to establish. Most of the present solutions rely on high-cost and low-efficiency space communication and navigation to assist the journey of crafts in deep space. This paper is to investigate a mapping model dedicated to navigating crafts in deep space. The model has been studied and developed from a conventional technique known as Orientation Movement (or called Directional Movement) in other research fields, such as botany, biology, kinematics, electrochemistry, and commercial science. The paper demonstrates the feasibility of using the model to establish an effective navigation mechanism for orientation movements in deep space.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131105129","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604911
E. C. Joy, Sijing Zhang, E. Liu, Efor E. Theresa, E. Eze
The increasing demand of diverse vehicular network oriented applications (both safety and non-safety related services would undoubtedly lead to shortage of spectral resource challenge for V2V communication networks. In order to resolve this issue, a novel Adaptive CR Enabled Vehicular NETwork (ACREVNET) framework is proposed in this paper. To avoid heavy overhead usually incurred during spectrum sensing, we developed a novel CR adaptive spectrum sensing (CRASS) scheme that can reduce the spectrum sensing cost and improve sensing performance effectively. We also applied the concept of Nash Bargaining Solution (NBS) to guarantee fairness in spectral resources allocation and proposed a generalized non-symmetric NBS (GNNBS) to perform a non-symmetric cognitive inter-cell spectrum allocation in the proposed ACREVNET framework. Simulation results clearly show that the proposed schemes can acquire additional spectral resource for vehicular communication by applying CR technology, and reduce the message transmission delay and blocking probability significantly.
{"title":"Cognitive radio aided Vehicular ad-hoc networks with efficient spectrum allocation and QoS guarantee","authors":"E. C. Joy, Sijing Zhang, E. Liu, Efor E. Theresa, E. Eze","doi":"10.1109/IConAC.2016.7604911","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604911","url":null,"abstract":"The increasing demand of diverse vehicular network oriented applications (both safety and non-safety related services would undoubtedly lead to shortage of spectral resource challenge for V2V communication networks. In order to resolve this issue, a novel Adaptive CR Enabled Vehicular NETwork (ACREVNET) framework is proposed in this paper. To avoid heavy overhead usually incurred during spectrum sensing, we developed a novel CR adaptive spectrum sensing (CRASS) scheme that can reduce the spectrum sensing cost and improve sensing performance effectively. We also applied the concept of Nash Bargaining Solution (NBS) to guarantee fairness in spectral resources allocation and proposed a generalized non-symmetric NBS (GNNBS) to perform a non-symmetric cognitive inter-cell spectrum allocation in the proposed ACREVNET framework. Simulation results clearly show that the proposed schemes can acquire additional spectral resource for vehicular communication by applying CR technology, and reduce the message transmission delay and blocking probability significantly.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114489111","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 : 2016-09-01DOI: 10.1080/21642583.2017.1351901
Ibukunoluwa Akinyemi, Shuanghua Yang
The EDCA protocol was designed to enhance the functionality of the IEEE 802.11 WLAN through the introduction of different channel access parameter values for different traffic types. This enables some degree of service guarantee for traffic depending on their QoS requirements. While the improved standard has recommended values for the channel accessing parameters, it does not take into account the dynamic nature of the WLAN and for optimal performance, the contention window (CW) value should be dynamic and vary with the number of contending stations on the WLAN. In this paper, we propose a feedback based control algorithm (FCA) that outputs contention window parameter with respect to number of active nodes on the WLAN. The controller can also be tuned based on network design requirements.
{"title":"Feedback control algorithm for optimal throughput in IEEE 802.11e EDCA networks","authors":"Ibukunoluwa Akinyemi, Shuanghua Yang","doi":"10.1080/21642583.2017.1351901","DOIUrl":"https://doi.org/10.1080/21642583.2017.1351901","url":null,"abstract":"The EDCA protocol was designed to enhance the functionality of the IEEE 802.11 WLAN through the introduction of different channel access parameter values for different traffic types. This enables some degree of service guarantee for traffic depending on their QoS requirements. While the improved standard has recommended values for the channel accessing parameters, it does not take into account the dynamic nature of the WLAN and for optimal performance, the contention window (CW) value should be dynamic and vary with the number of contending stations on the WLAN. In this paper, we propose a feedback based control algorithm (FCA) that outputs contention window parameter with respect to number of active nodes on the WLAN. The controller can also be tuned based on network design requirements.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124973310","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604973
M. Akbar, Hongnian Yu, S. Cang
The patient monitoring through implant medical devices under medical implant communication service (MICS) band has significantly increased due to growing healthcare expenses, an aging population, and successful deployment of wearable home-based medical monitoring in telemedicine. Recent literature lacks the performance evaluation mechanisms and discussion of MICS band in terms of quality of service (QoS); whereas, every implantable device has specified QoS requirements in terms of delay and throughput. This issue raises a serious concern while deploying implant devices that either the communications protocols are capable of providing specified QoS for this device or not. Moreover, MICS band works under two modes i.e., connected and unconnected, the decision which band is suitable for which type of application still needs more discussion. In this paper, we address the issues regarding appropriate performance evaluation model of MICS and selection of suitable mode of MICS according to application requirement. First, we discuss about the issues of different layers of MICS band including application, physical and MAC layer with respect to deployment challenges. Second, we develop a numerical model for the performance evaluation of the MICS band under connected and unconnected modes. This model computes the estimated communication delay and provides maximum throughput (MT) values for the transmission of the data frame under mentioned band modes. For the best of our knowledge, the proposed numerical model for the estimation of total end-to-end delay and MT is the first numerical model for MICS band. At the end, we provide the comparative analysis of the connected and unconnected modes which helps the healthcare professionals to choose an appropriate mode for different implant devices.
{"title":"Implanted medical devices as future of wireless healthcare monitoring: Investigation and performance evaluation using novel numerical modeling","authors":"M. Akbar, Hongnian Yu, S. Cang","doi":"10.1109/IConAC.2016.7604973","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604973","url":null,"abstract":"The patient monitoring through implant medical devices under medical implant communication service (MICS) band has significantly increased due to growing healthcare expenses, an aging population, and successful deployment of wearable home-based medical monitoring in telemedicine. Recent literature lacks the performance evaluation mechanisms and discussion of MICS band in terms of quality of service (QoS); whereas, every implantable device has specified QoS requirements in terms of delay and throughput. This issue raises a serious concern while deploying implant devices that either the communications protocols are capable of providing specified QoS for this device or not. Moreover, MICS band works under two modes i.e., connected and unconnected, the decision which band is suitable for which type of application still needs more discussion. In this paper, we address the issues regarding appropriate performance evaluation model of MICS and selection of suitable mode of MICS according to application requirement. First, we discuss about the issues of different layers of MICS band including application, physical and MAC layer with respect to deployment challenges. Second, we develop a numerical model for the performance evaluation of the MICS band under connected and unconnected modes. This model computes the estimated communication delay and provides maximum throughput (MT) values for the transmission of the data frame under mentioned band modes. For the best of our knowledge, the proposed numerical model for the estimation of total end-to-end delay and MT is the first numerical model for MICS band. At the end, we provide the comparative analysis of the connected and unconnected modes which helps the healthcare professionals to choose an appropriate mode for different implant devices.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130325353","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604896
Hua Ji, Xiao Chen, Ke Zhang, Yangao Wang
The man-hour costing is the largest cost in the chemical plant design companies because the design processes are undertaken by the staff. The accurate man-hour forecasting can facilitate the design process control and the human resources scheduling optimization so as to cut the costs. This paper presents a framework, combining the Back Propagation (BP) Artificial Neural Network (ANN) and Genetic Algorithm (GA), for the forecasting of Construct Drawing Design Man-hour (CDDM), which is the largest man hour among all work items in the chemical equipment design process. Firstly, the input variables are selected based on the contribution and correlation analysis after describing the optional input variables. Secondly, the forecasting model is presented in details. The experiments are done for the parameters set in the model, such as the hidden neuron number and the training method in the BP ANN, and the GA parameters selection. Thirdly, the simulation results are discussed. The absolute error, the relative error, and the grey relative relational grade are employed to measure the model accuracy and to compare the forecasting accuracy between the GA-BP ANN and pure BP ANN. Finally, the forecasting experiments are also tried to investigate if the variables coming from the earlier design phase can be selected as the input variables. The simulation results show the forecasting model based on GA-BP ANN can be a helpful tool for the CDDM forecasting in chemical equipment design process. The results also show the input variable selection and the experiments for the input variables coming from the earlier design phase are suitable for the CDDM forecasting.
{"title":"Construct drawing man-hour forecasting based on GA-BP in chemical equipment design process","authors":"Hua Ji, Xiao Chen, Ke Zhang, Yangao Wang","doi":"10.1109/IConAC.2016.7604896","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604896","url":null,"abstract":"The man-hour costing is the largest cost in the chemical plant design companies because the design processes are undertaken by the staff. The accurate man-hour forecasting can facilitate the design process control and the human resources scheduling optimization so as to cut the costs. This paper presents a framework, combining the Back Propagation (BP) Artificial Neural Network (ANN) and Genetic Algorithm (GA), for the forecasting of Construct Drawing Design Man-hour (CDDM), which is the largest man hour among all work items in the chemical equipment design process. Firstly, the input variables are selected based on the contribution and correlation analysis after describing the optional input variables. Secondly, the forecasting model is presented in details. The experiments are done for the parameters set in the model, such as the hidden neuron number and the training method in the BP ANN, and the GA parameters selection. Thirdly, the simulation results are discussed. The absolute error, the relative error, and the grey relative relational grade are employed to measure the model accuracy and to compare the forecasting accuracy between the GA-BP ANN and pure BP ANN. Finally, the forecasting experiments are also tried to investigate if the variables coming from the earlier design phase can be selected as the input variables. The simulation results show the forecasting model based on GA-BP ANN can be a helpful tool for the CDDM forecasting in chemical equipment design process. The results also show the input variable selection and the experiments for the input variables coming from the earlier design phase are suitable for the CDDM forecasting.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130666756","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604975
Abdul Waheed, M. A. Shah, Abid Khan
Using the Internet or accessing any network service, there can be a lot of threats from hackers for the illegal access to users' account. If a system has very sensitive data but is not offering a secure login protocol, then the whole security is at risk and could easily be compromised. Due to the rapid increase in the usage of digital equipment and online banking transactions, there is mandatory need of secure login. In this paper, our contribution is twofold. Firstly, we provide a brief and comprehensive overview of the modern attacks in different computing environments. We group existing approaches and critically evaluate the modern attacks in terms of severity of attacks. Secondly, we investigate the performance of different login protocols that can achieve better security. A performance comparison of these secure login protocols also form part of this paper. Moreover, our research is focused on the most recent attacks and their solutions that have been published over the year 2010-2016. The findings in this paper can be used by security experts, analysts and security policy designers to select appropriate authentication architecture for relevant computing environment.
{"title":"Secure login protocols: An analysis on modern attacks and solutions","authors":"Abdul Waheed, M. A. Shah, Abid Khan","doi":"10.1109/IConAC.2016.7604975","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604975","url":null,"abstract":"Using the Internet or accessing any network service, there can be a lot of threats from hackers for the illegal access to users' account. If a system has very sensitive data but is not offering a secure login protocol, then the whole security is at risk and could easily be compromised. Due to the rapid increase in the usage of digital equipment and online banking transactions, there is mandatory need of secure login. In this paper, our contribution is twofold. Firstly, we provide a brief and comprehensive overview of the modern attacks in different computing environments. We group existing approaches and critically evaluate the modern attacks in terms of severity of attacks. Secondly, we investigate the performance of different login protocols that can achieve better security. A performance comparison of these secure login protocols also form part of this paper. Moreover, our research is focused on the most recent attacks and their solutions that have been published over the year 2010-2016. The findings in this paper can be used by security experts, analysts and security policy designers to select appropriate authentication architecture for relevant computing environment.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131061737","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604921
Guoqin Gao, Taiping Chen, Mengru Liu, X. Niu
For the dynamic modeling of a novel hybrid conveying mechanism for electro-coating of automobile bodies, a systematic method of combining screw theory with the principle of virtual work is proposed. Based on the structural characteristics of the mechanism, the motion of the mechanism is described via screw theory. The velocities of active joints on the mechanism are obtained by using reciprocal product, and the velocities of passive joints are obtained by solving the screw motion equation. Then, the acceleration of each joint on the mechanism is derived by using differentiation technique. Based on the above, the dynamic equation is formulated by combining screw theory with the principle of virtual work. The simulations on the proposed dynamic model are conducted respectively by using MATLAB and ADAMS. The simulation results show the reliability of the dynamic model. The proposed method of dynamic modeling is easy to solve, program, and implement for effective control of spatial mechanism,which provides a novel method for the dynamic modeling of hybrid mechanism.
{"title":"Dynamic modeling of a novel hybrid conveying mechanism for electro-coating of automobile bodies based on screw theory","authors":"Guoqin Gao, Taiping Chen, Mengru Liu, X. Niu","doi":"10.1109/IConAC.2016.7604921","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604921","url":null,"abstract":"For the dynamic modeling of a novel hybrid conveying mechanism for electro-coating of automobile bodies, a systematic method of combining screw theory with the principle of virtual work is proposed. Based on the structural characteristics of the mechanism, the motion of the mechanism is described via screw theory. The velocities of active joints on the mechanism are obtained by using reciprocal product, and the velocities of passive joints are obtained by solving the screw motion equation. Then, the acceleration of each joint on the mechanism is derived by using differentiation technique. Based on the above, the dynamic equation is formulated by combining screw theory with the principle of virtual work. The simulations on the proposed dynamic model are conducted respectively by using MATLAB and ADAMS. The simulation results show the reliability of the dynamic model. The proposed method of dynamic modeling is easy to solve, program, and implement for effective control of spatial mechanism,which provides a novel method for the dynamic modeling of hybrid mechanism.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134124073","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604913
Thanmayee Karimireddy, Sijing Zhang
The need of developing reliable industrial automation networks has increased to a great extent due to the transmission of hard real time control packets over error prone wireless channels. This paper focuses on error control approaches to satisfy strict reliability requirements of industrial automation control applications. In this paper, some of the state of art error control approaches are critically analysed and a novel adaptive error control approach ASM-HARQ is proposed. ASM-HARQ is an adaptive HARQ approach that uses both FEC and ARQ to recover the errors present in each encoding unit which is sub-MSDU. Simulation results show that ASM-HARQ outperforms other MAC layer error control approaches through its ability to satisfy reliability requirements even for time critical applications.
{"title":"An adaptive error control approach for reliable industrial automation networks","authors":"Thanmayee Karimireddy, Sijing Zhang","doi":"10.1109/IConAC.2016.7604913","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604913","url":null,"abstract":"The need of developing reliable industrial automation networks has increased to a great extent due to the transmission of hard real time control packets over error prone wireless channels. This paper focuses on error control approaches to satisfy strict reliability requirements of industrial automation control applications. In this paper, some of the state of art error control approaches are critically analysed and a novel adaptive error control approach ASM-HARQ is proposed. ASM-HARQ is an adaptive HARQ approach that uses both FEC and ARQ to recover the errors present in each encoding unit which is sub-MSDU. Simulation results show that ASM-HARQ outperforms other MAC layer error control approaches through its ability to satisfy reliability requirements even for time critical applications.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116304785","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 : 2016-09-01DOI: 10.1109/ICONAC.2016.7604954
A. Saldivar, C. Goh, Yun Li, Yi Chen, Hongnian Yu
Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This paper investigates this issue in depth and then develops a predictive analytic framework for integrating cloud computing, big data analysis, business informatics, communication technologies, and digital industrial production systems. Computational intelligence in the form of a cluster k-means approach is used to manage relevant big data for feeding potential customer needs and wants to smart designs for targeted productivity and customized mass production. The identification of patterns from big data is achieved with cluster k-means and with the selection of optimal attributes using genetic algorithms. A car customization case study shows how it may be applied and where to assign new clusters with growing knowledge of customer needs and wants. This approach offer a number of features suitable to smart design in realizing Industry 4.0.
{"title":"Identifying smart design attributes for Industry 4.0 customization using a clustering Genetic Algorithm","authors":"A. Saldivar, C. Goh, Yun Li, Yi Chen, Hongnian Yu","doi":"10.1109/ICONAC.2016.7604954","DOIUrl":"https://doi.org/10.1109/ICONAC.2016.7604954","url":null,"abstract":"Industry 4.0 aims at achieving mass customization at a mass production cost. A key component to realizing this is accurate prediction of customer needs and wants, which is however a challenging issue due to the lack of smart analytics tools. This paper investigates this issue in depth and then develops a predictive analytic framework for integrating cloud computing, big data analysis, business informatics, communication technologies, and digital industrial production systems. Computational intelligence in the form of a cluster k-means approach is used to manage relevant big data for feeding potential customer needs and wants to smart designs for targeted productivity and customized mass production. The identification of patterns from big data is achieved with cluster k-means and with the selection of optimal attributes using genetic algorithms. A car customization case study shows how it may be applied and where to assign new clusters with growing knowledge of customer needs and wants. This approach offer a number of features suitable to smart design in realizing Industry 4.0.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126991478","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 : 2016-09-01DOI: 10.1109/IConAC.2016.7604920
Huijuan Dong, Shuai Liu, Yingzi Guan, P. Zhang
This work presents a model of a transducer array suitable for particle transportation. The transducer array is excited by sine function in voltage. The distributions of horizontal acoustic radiation forces are simulated using ANSYS and MATLAB-base program. The underlying motion equation is described in this paper. According to this equation, the motion trajectory of a levitated particle is calculated iteratively. It is pointed that the relative distance between the particle location and the potential well position can not be too long for stable transportation. Accordingly, the shortest modulation period for ultrasonic standing wave transportation is obtained.
{"title":"Simulation of particle transportation trajectory in acoustic standing wave field","authors":"Huijuan Dong, Shuai Liu, Yingzi Guan, P. Zhang","doi":"10.1109/IConAC.2016.7604920","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604920","url":null,"abstract":"This work presents a model of a transducer array suitable for particle transportation. The transducer array is excited by sine function in voltage. The distributions of horizontal acoustic radiation forces are simulated using ANSYS and MATLAB-base program. The underlying motion equation is described in this paper. According to this equation, the motion trajectory of a levitated particle is calculated iteratively. It is pointed that the relative distance between the particle location and the potential well position can not be too long for stable transportation. Accordingly, the shortest modulation period for ultrasonic standing wave transportation is obtained.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689639","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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