Pub Date : 2017-07-01DOI: 10.1109/ICSSE.2017.8030874
Luu Gia Thien, P. Tin, T. T. Nhat, Tran Trung Duy, M. Voznák
In this paper, we propose a simple multi-hop cooperative transmission protocol (MCT) to decrease outage probability for multi-hop networks under impact of hardware impairments and presence of an eavesdropper. In the proposed method, the source and intermediate relays adjust their transmit power so that the eavesdropper cannot overhear the transmitted data. We derive exact closed-form expressions of outage probability (OP) and the average number of time slots (TS) used to relay the data from the source to the destination for the MCT protocol over Rayleigh fading channel. Monte Carlo simulations are performed to verify the theoretical derivations. Results show that the proposed protocol outperforms multi-hop direct transmission one (MDT), in terms of the average OP and TS.
{"title":"Performance evaluation of multi-hop cooperative transmission protocol with hardware noises and presence of eavesdropper","authors":"Luu Gia Thien, P. Tin, T. T. Nhat, Tran Trung Duy, M. Voznák","doi":"10.1109/ICSSE.2017.8030874","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030874","url":null,"abstract":"In this paper, we propose a simple multi-hop cooperative transmission protocol (MCT) to decrease outage probability for multi-hop networks under impact of hardware impairments and presence of an eavesdropper. In the proposed method, the source and intermediate relays adjust their transmit power so that the eavesdropper cannot overhear the transmitted data. We derive exact closed-form expressions of outage probability (OP) and the average number of time slots (TS) used to relay the data from the source to the destination for the MCT protocol over Rayleigh fading channel. Monte Carlo simulations are performed to verify the theoretical derivations. Results show that the proposed protocol outperforms multi-hop direct transmission one (MDT), in terms of the average OP and TS.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114678213","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}
Recently, the major challenge in the robustness evaluation of networks is to enhance the detecting the most critical nodes. Many researchers have studied the problem of detecting the list of attacked nodes, which are the number of failed nodes is maximum, in order to protect these nodes. However, there is no any previous works to consider the cost of attacks that the budget is limited is very practical in the real attacks. In this paper, we study the problem of attacking nodes in networks to maximize the total profits of attacked nodes, where the total cost of attacks is remained under the budget. In addition, an algorithm is proposed to solve problem of attacking nodes in the network with limited budget while guaranteeing the high total profits of attacked nodes. Simulation results show that the proposed method provides good performance.
{"title":"Detecting critical nodes for network vulnerability assessment under cascading failures","authors":"Shikai Hu, Jung-Te Chou, Bing-Hong Liu, Shao-I Chu, Thinagaran Perumal, Van-Trung Pham","doi":"10.1109/ICSSE.2017.8030933","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030933","url":null,"abstract":"Recently, the major challenge in the robustness evaluation of networks is to enhance the detecting the most critical nodes. Many researchers have studied the problem of detecting the list of attacked nodes, which are the number of failed nodes is maximum, in order to protect these nodes. However, there is no any previous works to consider the cost of attacks that the budget is limited is very practical in the real attacks. In this paper, we study the problem of attacking nodes in networks to maximize the total profits of attacked nodes, where the total cost of attacks is remained under the budget. In addition, an algorithm is proposed to solve problem of attacking nodes in the network with limited budget while guaranteeing the high total profits of attacked nodes. Simulation results show that the proposed method provides good performance.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114215247","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030846
Phan-Thanh Nguyen, M. Nguyen
This work presents a hardware implementation of a RBF NN (Radial Basis Function Neural Network), then use this RBF NN to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives and the architecture of the RBF NN which consists of an input layer, a hidden layer of nonlinear processing neurons with Gaussian function and an output layer are described. Secondly, a very high speed IC hardware description language (VHDL) is adopted to describe the behavior of the RBF - PI Controller, and the data type applies 32bit length Q24 format and 2's complement operation. Additionally, finite state machine (FSM) is applied for reducing the hardware resource usage. Thirdly, to verify the correctness of the designed VHDL code for computing the RBF-PI, based on electronic design automation (EDA) simulator link, a co-simulation work is constructed by Simulink and ModelSim which the input stimuli and output responses are run in Simulink and the computation of the RBF-PI is performed in ModelSim. Finally, some simulation results validate the effectiveness of the proposed RBF-based PI (RBF-PI) Controller for PMSM Drives.
{"title":"Design and implementation of a RBF-based PI Controller for PMSM Drives","authors":"Phan-Thanh Nguyen, M. Nguyen","doi":"10.1109/ICSSE.2017.8030846","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030846","url":null,"abstract":"This work presents a hardware implementation of a RBF NN (Radial Basis Function Neural Network), then use this RBF NN to design a PI controller for PMSM (Permanent Magnet Synchronous Motor) drives. In this paper, firstly, the mathematical model of PMSM drives and the architecture of the RBF NN which consists of an input layer, a hidden layer of nonlinear processing neurons with Gaussian function and an output layer are described. Secondly, a very high speed IC hardware description language (VHDL) is adopted to describe the behavior of the RBF - PI Controller, and the data type applies 32bit length Q24 format and 2's complement operation. Additionally, finite state machine (FSM) is applied for reducing the hardware resource usage. Thirdly, to verify the correctness of the designed VHDL code for computing the RBF-PI, based on electronic design automation (EDA) simulator link, a co-simulation work is constructed by Simulink and ModelSim which the input stimuli and output responses are run in Simulink and the computation of the RBF-PI is performed in ModelSim. Finally, some simulation results validate the effectiveness of the proposed RBF-based PI (RBF-PI) Controller for PMSM Drives.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114619604","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030941
N. Q. Trung, Huynh Tan Tien, Phan Minh Duc
Ethanol-gasoline and butanol-gasoline blended fuel was tested in a conventional engine under various air-fuel equivalence ratios for its performance and emissions. The results of engine performance tests showed that torque output would increase slightly at seventy percent throttle valve opening when ethanol-gasoline and butanol-gasoline blended fuel was used. It was also shown that CO and HC emissions were reduced with the increase of ethanol/butanol content in the blended fuel, which resulted from oxygen enrichment. At an air-fuel equivalence ratio slightly larger than one, the smallest amounts of CO and HC and the largest amounts of COR2R resulted. It was noted that under the lean combustion condition, COR2R emission was controlled by air-fuel equivalence ratio; while under the rich combustion condition, COR2R emission is offset by CO emission. From the experimental data, the optimal ethanol, butanol content in the gasoline and air-fuel equivalence ratio in terms of engine performance and air pollution was found.
{"title":"The effect of ethanol, butanol addition on the equivalence air-fuel ratio, engine performance and pollutant emission of an SI engine using gasohol fuels","authors":"N. Q. Trung, Huynh Tan Tien, Phan Minh Duc","doi":"10.1109/ICSSE.2017.8030941","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030941","url":null,"abstract":"Ethanol-gasoline and butanol-gasoline blended fuel was tested in a conventional engine under various air-fuel equivalence ratios for its performance and emissions. The results of engine performance tests showed that torque output would increase slightly at seventy percent throttle valve opening when ethanol-gasoline and butanol-gasoline blended fuel was used. It was also shown that CO and HC emissions were reduced with the increase of ethanol/butanol content in the blended fuel, which resulted from oxygen enrichment. At an air-fuel equivalence ratio slightly larger than one, the smallest amounts of CO and HC and the largest amounts of COR2R resulted. It was noted that under the lean combustion condition, COR2R emission was controlled by air-fuel equivalence ratio; while under the rich combustion condition, COR2R emission is offset by CO emission. From the experimental data, the optimal ethanol, butanol content in the gasoline and air-fuel equivalence ratio in terms of engine performance and air pollution was found.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117263153","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030840
Hoang Thi Tu Uyen, Pham Duc Tuan, Vu Van Tu, L. Quang, Phan Xuan Minh
The paper presents a adaptive dynamic surface control method for a class of strict-feedback nonlinear system based on neural network. In the previous adaptive neural networks control proposed using backstepping, the number and complexity of intermediate variables increase as the increasing order of the system. This makes it difficult to achieve learning for the high-order strict-feedback systems due to “the explosion of complexity”. To overcome the difficulty, a stable adaptive neural DSC is proposed with auxiliary first-order filters. Due to the use of DSC, the derivative of the filter output variable is used as the NN input instead of the previous intermediate variables. This reduces greatly the dimension of NN inputs, especially for high-order systems. The controller is applied to 3 DOF surface ship model, which proposed by Fossen. The simulation results show the advantages of the proposed control algorithm and the using ability in practice.
{"title":"Adaptive neural networks dynamic surface control algorithm for 3 DOF surface ship","authors":"Hoang Thi Tu Uyen, Pham Duc Tuan, Vu Van Tu, L. Quang, Phan Xuan Minh","doi":"10.1109/ICSSE.2017.8030840","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030840","url":null,"abstract":"The paper presents a adaptive dynamic surface control method for a class of strict-feedback nonlinear system based on neural network. In the previous adaptive neural networks control proposed using backstepping, the number and complexity of intermediate variables increase as the increasing order of the system. This makes it difficult to achieve learning for the high-order strict-feedback systems due to “the explosion of complexity”. To overcome the difficulty, a stable adaptive neural DSC is proposed with auxiliary first-order filters. Due to the use of DSC, the derivative of the filter output variable is used as the NN input instead of the previous intermediate variables. This reduces greatly the dimension of NN inputs, especially for high-order systems. The controller is applied to 3 DOF surface ship model, which proposed by Fossen. The simulation results show the advantages of the proposed control algorithm and the using ability in practice.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"1058 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123158392","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030943
H. T. Tu, T. Phan, K. P. Nguyen
Latent Semantic Analysis or LSA uses a method of singular value decomposition of co-occurrence document-term matrix to derive a latent class model. Despite its success, there are some shortcomings in this technique. Recent works have improved the standard LSA using method of probability distribution, regularization, sparseness constraint. But there are still some other deficiencies. It is dealt with this paper, an adapted technique called hk-LSA based on reducing dimension of vector space and like-probabilistic relationships between document and latent-topic space is proposed. The adaptive technique overcomes some weak points of LSA such as processing density of orthogonal matrices, complexity in matrix decomposition, facing with alternative iteration algorithms, etc. The experiments show consistent and substantial improvements of the hk-LSA over LSA.
{"title":"An adaptive Latent Semantic Analysis for text mining","authors":"H. T. Tu, T. Phan, K. P. Nguyen","doi":"10.1109/ICSSE.2017.8030943","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030943","url":null,"abstract":"Latent Semantic Analysis or LSA uses a method of singular value decomposition of co-occurrence document-term matrix to derive a latent class model. Despite its success, there are some shortcomings in this technique. Recent works have improved the standard LSA using method of probability distribution, regularization, sparseness constraint. But there are still some other deficiencies. It is dealt with this paper, an adapted technique called hk-LSA based on reducing dimension of vector space and like-probabilistic relationships between document and latent-topic space is proposed. The adaptive technique overcomes some weak points of LSA such as processing density of orthogonal matrices, complexity in matrix decomposition, facing with alternative iteration algorithms, etc. The experiments show consistent and substantial improvements of the hk-LSA over LSA.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124703892","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030951
Po-Yuan Yang, Jinn-Tsong Tsai, J. Chou
This paper is using artificial neural network (ANN) to predict oxygen content in the water for the fish farm, so that decrease times of starts of oxygen suppliers. In Southern Taiwan, aquaculture is one of major economic industries. Especially, the important issue is how to effectively monitor the oxygen content in the water, so that the fish will not die and start the oxygen suppliers for the minimum of times. According to experience of aquaculture practitioners, the impact factors of oxygen content in the water include temperature, pH, conductivity, salinity and last monitored oxygen content. And ANN is one of frequently used tools about analysis and prediction. In ANN, there are three parts, including input layer, hidden layer and output layer. Input layer and output layer are given by users and build relations between them by hidden layer. In this paper, data provided by Ecotek company divided into training data and testing data. The experimental process is as following: corrected data, set parameters, separated into training data and testing data, and executed neural network. From the experimental result, although it is not possible to achieve a complete positive correlation, but the oxygen content can be kept between 3 and 7 ppm.
{"title":"Prediction analysis of oxygen content in the water for the fish farm in southern Taiwan","authors":"Po-Yuan Yang, Jinn-Tsong Tsai, J. Chou","doi":"10.1109/ICSSE.2017.8030951","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030951","url":null,"abstract":"This paper is using artificial neural network (ANN) to predict oxygen content in the water for the fish farm, so that decrease times of starts of oxygen suppliers. In Southern Taiwan, aquaculture is one of major economic industries. Especially, the important issue is how to effectively monitor the oxygen content in the water, so that the fish will not die and start the oxygen suppliers for the minimum of times. According to experience of aquaculture practitioners, the impact factors of oxygen content in the water include temperature, pH, conductivity, salinity and last monitored oxygen content. And ANN is one of frequently used tools about analysis and prediction. In ANN, there are three parts, including input layer, hidden layer and output layer. Input layer and output layer are given by users and build relations between them by hidden layer. In this paper, data provided by Ecotek company divided into training data and testing data. The experimental process is as following: corrected data, set parameters, separated into training data and testing data, and executed neural network. From the experimental result, although it is not possible to achieve a complete positive correlation, but the oxygen content can be kept between 3 and 7 ppm.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126240094","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030839
Van‐Phong Vu, Wen-June Wang
This paper proposes a new method for designing an observer-based controller for the polynomial system with the existence of the disturbances. A new form of the observer is proposed to estimate both unavailable state variables and disturbances simultaneously. In addition, in previous studies, the disturbances must be bounded, its derivation is equal to zero, or assume to be generated by an exogenous system. However, in this paper, the arbitrary disturbances are considered and they do not need to satisfy any constraint. Based on the information of unknown states and disturbances from observer, a controller is synthesized to eliminate the effects of disturbances and stabilize this system. On the basis of SOS technique and Lyapunov theory, the conditions for observer-based controller design are derived. Finally, an illustrative example is presented to prove the effectiveness of the proposed method.
{"title":"State and disturbance observer-based controller synthesis for polynomial system","authors":"Van‐Phong Vu, Wen-June Wang","doi":"10.1109/ICSSE.2017.8030839","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030839","url":null,"abstract":"This paper proposes a new method for designing an observer-based controller for the polynomial system with the existence of the disturbances. A new form of the observer is proposed to estimate both unavailable state variables and disturbances simultaneously. In addition, in previous studies, the disturbances must be bounded, its derivation is equal to zero, or assume to be generated by an exogenous system. However, in this paper, the arbitrary disturbances are considered and they do not need to satisfy any constraint. Based on the information of unknown states and disturbances from observer, a controller is synthesized to eliminate the effects of disturbances and stabilize this system. On the basis of SOS technique and Lyapunov theory, the conditions for observer-based controller design are derived. Finally, an illustrative example is presented to prove the effectiveness of the proposed method.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126542347","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030844
Zheng-Kai Chiu, Pei-Jun Lee
This paper designs and fabricates an intelligent wheel robot which can walking and avoid obstacles autonomously. The obstacle avoidance is achieved by using fuzzy control technique. In order to turn angle rapidly for the wheel robot, we adopt three distance value and turning angle in last state between the obstacle and robot to design the fuzzy sets. According to the results of the simulation and practical experiment, the path of obstacle avoidance by using fuzzy control is much smoother than that by using intuitive control. All the above motion controls are implemented by Altera DE2-115 FPGA board with some useful sensors.
{"title":"A fuzzy control for obstacle avoidance implemented in the wheel robot with FPGA","authors":"Zheng-Kai Chiu, Pei-Jun Lee","doi":"10.1109/ICSSE.2017.8030844","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030844","url":null,"abstract":"This paper designs and fabricates an intelligent wheel robot which can walking and avoid obstacles autonomously. The obstacle avoidance is achieved by using fuzzy control technique. In order to turn angle rapidly for the wheel robot, we adopt three distance value and turning angle in last state between the obstacle and robot to design the fuzzy sets. According to the results of the simulation and practical experiment, the path of obstacle avoidance by using fuzzy control is much smoother than that by using intuitive control. All the above motion controls are implemented by Altera DE2-115 FPGA board with some useful sensors.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127274430","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 : 2017-07-01DOI: 10.1109/ICSSE.2017.8030960
T. Nguyen, T. Tran, Mai Nguyen, T. Pham
In this research, we present a framework for industrial measurement using 3D scanning technology. Until recently, metal parts with glossy surfaces still pose a big challenge for low dynamic range CMOS sensor in 3D scanner. Several approaches have partially solved this problem either by trading off scanning time or by increasing system's complexity. Unfortunately, these methods defeat the “low cost” and “fast” advantages of structured light scanning. In our framework, we employ several strategies such as: utilize smart encoding schemes for better signal-to-noise ratio, dynamically adjust the projector to minimize specular light, utilize multiple cameras and customized algorithms to shorten processing time. As a result, our setup greatly improves measurement quality while only incur a small time and monetary cost.
{"title":"A high dynamic range, high precision framework for measuring machinery part using structured light","authors":"T. Nguyen, T. Tran, Mai Nguyen, T. Pham","doi":"10.1109/ICSSE.2017.8030960","DOIUrl":"https://doi.org/10.1109/ICSSE.2017.8030960","url":null,"abstract":"In this research, we present a framework for industrial measurement using 3D scanning technology. Until recently, metal parts with glossy surfaces still pose a big challenge for low dynamic range CMOS sensor in 3D scanner. Several approaches have partially solved this problem either by trading off scanning time or by increasing system's complexity. Unfortunately, these methods defeat the “low cost” and “fast” advantages of structured light scanning. In our framework, we employ several strategies such as: utilize smart encoding schemes for better signal-to-noise ratio, dynamically adjust the projector to minimize specular light, utilize multiple cameras and customized algorithms to shorten processing time. As a result, our setup greatly improves measurement quality while only incur a small time and monetary cost.","PeriodicalId":296191,"journal":{"name":"2017 International Conference on System Science and Engineering (ICSSE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116122972","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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