Pub Date : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.15
Wen-Yang Chang, Sheng-Jhih Wu
The information data of CNC machine tool based on the controller tuning operation are investigated for established productivity of industry 4.0. Industry 4.0 is a smart productivity based on industrial internet of things, big data, and cyber physical systems in manufacturing industries. For productivity of industry 4.0 establishing, the position control gains Kp, position feedforward control gains Kf, and speed control gains Kv, in CNC machine tool are major tuning parameters. The different KP gains of 10, 50, 100, 300, and 400 rad/s are investigated for a smart productivity in position control mode. The system responses of CNC machine tool at different position feedforward gains Kf of 0, 50, 80, and 100% and the different speed control gains Kv of 50, 100, 1000, 2000, and 3000 rad/s are investigated for a smart productivity. In addition, the steady-state errors and the setting times at the different Rg ratios of (1:1), (3:1), (5:1), and (7:1) are analysed in position control mode. Results showed the KP gains mainly enhances the settling times and reduces the rise times. The tuning output responses of different Kf gains are almost second order system. The speed control gains Kv mainly enhances the transient response. The characteristic responses of the tuning operations are enabled with connectivity to a cloud network to share the big data, to support decision making, and to adjust operations in real time.
{"title":"Investigated Information Data of CNC Machine Tool for Established Productivity of Industry 4.0","authors":"Wen-Yang Chang, Sheng-Jhih Wu","doi":"10.1109/IIAI-AAI.2016.15","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.15","url":null,"abstract":"The information data of CNC machine tool based on the controller tuning operation are investigated for established productivity of industry 4.0. Industry 4.0 is a smart productivity based on industrial internet of things, big data, and cyber physical systems in manufacturing industries. For productivity of industry 4.0 establishing, the position control gains Kp, position feedforward control gains Kf, and speed control gains Kv, in CNC machine tool are major tuning parameters. The different KP gains of 10, 50, 100, 300, and 400 rad/s are investigated for a smart productivity in position control mode. The system responses of CNC machine tool at different position feedforward gains Kf of 0, 50, 80, and 100% and the different speed control gains Kv of 50, 100, 1000, 2000, and 3000 rad/s are investigated for a smart productivity. In addition, the steady-state errors and the setting times at the different Rg ratios of (1:1), (3:1), (5:1), and (7:1) are analysed in position control mode. Results showed the KP gains mainly enhances the settling times and reduces the rise times. The tuning output responses of different Kf gains are almost second order system. The speed control gains Kv mainly enhances the transient response. The characteristic responses of the tuning operations are enabled with connectivity to a cloud network to share the big data, to support decision making, and to adjust operations in real time.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"64 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128241137","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.230
Toshihiko Aramaki, K. Kinoshita, Y. Tanigawa, H. Tode, Takashi Watanabe
In this paper, we propose a congestion control method for low-cost M2M devices in wireless multi-hop networks. By adding the packet priority to each packet and changing it dynamically at intermediate devices, this method considers the requested quality level for each service. Finally simulation results show the excellent performance of the proposed method.
{"title":"A Congestion Control Method for Multiple Services on Shared M2M Network","authors":"Toshihiko Aramaki, K. Kinoshita, Y. Tanigawa, H. Tode, Takashi Watanabe","doi":"10.1109/IIAI-AAI.2016.230","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.230","url":null,"abstract":"In this paper, we propose a congestion control method for low-cost M2M devices in wireless multi-hop networks. By adding the packet priority to each packet and changing it dynamically at intermediate devices, this method considers the requested quality level for each service. Finally simulation results show the excellent performance of the proposed method.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130999611","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.139
C. Ting, Yu-Sheng Huang, Szu-Chin Pan, Cheng-Te Lin
When people waits for an extending time in a restaurant, the restaurant must take an appropriate action to recovery it to reduce consumers' dissatisfaction and negative oral spreading in order to bring back consumers and reduce loss of customers. The contingent behavior analysis (CBA) is used for establishing the revisit benefit of the restaurant waiting service, which is used for analyzing factors and benefits affecting people's revisit demand under the service recovery and improvement plans “increase service quality” and “improve restaurant facilities and add technical equipment”. The research result shows different service recovery and improvement plans significantly increase the benefit of people revisiting restaurants. The plan about improvement of software and hardware facilities of restaurants brings the highest benefit. Respondents about the restaurant revisit demands have no price elasticity under implementation of different recovery plans.
{"title":"Evaluating the Benefits of Consumer Revisitation Intentions for Restaurants in Taiwan","authors":"C. Ting, Yu-Sheng Huang, Szu-Chin Pan, Cheng-Te Lin","doi":"10.1109/IIAI-AAI.2016.139","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.139","url":null,"abstract":"When people waits for an extending time in a restaurant, the restaurant must take an appropriate action to recovery it to reduce consumers' dissatisfaction and negative oral spreading in order to bring back consumers and reduce loss of customers. The contingent behavior analysis (CBA) is used for establishing the revisit benefit of the restaurant waiting service, which is used for analyzing factors and benefits affecting people's revisit demand under the service recovery and improvement plans “increase service quality” and “improve restaurant facilities and add technical equipment”. The research result shows different service recovery and improvement plans significantly increase the benefit of people revisiting restaurants. The plan about improvement of software and hardware facilities of restaurants brings the highest benefit. Respondents about the restaurant revisit demands have no price elasticity under implementation of different recovery plans.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094964","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.14
Jonathan Aliponga
The goal of this research was to identify the predictors of our students' success, which we believe are the factors to improve the internal quality assurance of our university. Determining the success predictors will enable us to determine the factors, which will help our students become successful. Thus, we have been implementing innovations in our curriculum, teaching methods and strategies as well as on-campus and off-campus activities. To assess student achievement in the target skills and contents, we have developed standardized tests for all students, such as the Japanese Language Test, General Language Test, Math Test, Achievement Confirmation Test, and University Benchmarks. This presentation shows which of these tests plus the data from the Course and Student Life Survey can predict student success. The data from the Course and Student Life Survey measured student satisfaction of their academics (academic factor), social relationship (social satisfaction), school facilities (environmental factor) and their own effort to study (learner factor) (St. Mary's College California, 2010). We hope that teachers, curriculum planners, administrators and researchers, not only in Japan but in other countries as well, will benefit from our research results.
{"title":"Key Predictors of Student Academic Success: The Case of 2011 and 2013 Students","authors":"Jonathan Aliponga","doi":"10.1109/IIAI-AAI.2016.14","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.14","url":null,"abstract":"The goal of this research was to identify the predictors of our students' success, which we believe are the factors to improve the internal quality assurance of our university. Determining the success predictors will enable us to determine the factors, which will help our students become successful. Thus, we have been implementing innovations in our curriculum, teaching methods and strategies as well as on-campus and off-campus activities. To assess student achievement in the target skills and contents, we have developed standardized tests for all students, such as the Japanese Language Test, General Language Test, Math Test, Achievement Confirmation Test, and University Benchmarks. This presentation shows which of these tests plus the data from the Course and Student Life Survey can predict student success. The data from the Course and Student Life Survey measured student satisfaction of their academics (academic factor), social relationship (social satisfaction), school facilities (environmental factor) and their own effort to study (learner factor) (St. Mary's College California, 2010). We hope that teachers, curriculum planners, administrators and researchers, not only in Japan but in other countries as well, will benefit from our research results.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128239932","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.76
Han-Yu Sung, Gwo-jen Hwang, Judy C. R. Tseng
In this paper, a collaborative game was developed by integrating a grid-based knowledge construction tool. Moreover, an experiment was conducted to examine effects of the knowledge construction tool-based gaming approach on students' behavioral patterns. From the experimental results, it was found that the students who learned with the knowledge construction tool-based collaborative game revealed significant behavioral patterns of “comparing and observing the learning targets” as well as “seeking clues and answers” on their own. This implies that integrating the knowledge construction tool into the collaborative educational game has great potential for fostering students' ability of applying what they have learned to deal with problems.
{"title":"Effects of Knowledge Construction Tools on Students' Learning Patterns in Collaborative Game-Based Learning Activities","authors":"Han-Yu Sung, Gwo-jen Hwang, Judy C. R. Tseng","doi":"10.1109/IIAI-AAI.2016.76","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.76","url":null,"abstract":"In this paper, a collaborative game was developed by integrating a grid-based knowledge construction tool. Moreover, an experiment was conducted to examine effects of the knowledge construction tool-based gaming approach on students' behavioral patterns. From the experimental results, it was found that the students who learned with the knowledge construction tool-based collaborative game revealed significant behavioral patterns of “comparing and observing the learning targets” as well as “seeking clues and answers” on their own. This implies that integrating the knowledge construction tool into the collaborative educational game has great potential for fostering students' ability of applying what they have learned to deal with problems.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220357","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.236
Chiu-Hsiung Chen, Ya-Fu Peng, Wenhao Hu
A robust intelligent total-sliding-mode control scheme is developed for the synchronization of uncertain chaotic systems. The proposed in control system offers a design method to drive the state trajectory to track a desired trajectory, and it is comprised of an adaptive wavelet neural network (WNN) controller and a robust compensator. The adaptive WNN controller acts as the principal tracking controller, which is designed to mimic the merits of a desired total-sliding-mode control law. The robust compensator is proposed to confront the uncertainties. Finally, the Lorenz chaotic systems are performed to verify the effectiveness of the proposed control strategy.
{"title":"Robust Intelligent Total-Sliding-Mode Control for the Synchronization of Uncertain Chaotic Systems","authors":"Chiu-Hsiung Chen, Ya-Fu Peng, Wenhao Hu","doi":"10.1109/IIAI-AAI.2016.236","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.236","url":null,"abstract":"A robust intelligent total-sliding-mode control scheme is developed for the synchronization of uncertain chaotic systems. The proposed in control system offers a design method to drive the state trajectory to track a desired trajectory, and it is comprised of an adaptive wavelet neural network (WNN) controller and a robust compensator. The adaptive WNN controller acts as the principal tracking controller, which is designed to mimic the merits of a desired total-sliding-mode control law. The robust compensator is proposed to confront the uncertainties. Finally, the Lorenz chaotic systems are performed to verify the effectiveness of the proposed control strategy.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114269714","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.111
W. Weng, S. Fujimura
We consider the problem of estimating flow times of jobs that arrive dynamically in a manufacturing system. A job's flow time refers to the time between the job's arrival and completion. Most existing methods use some predefined equations for such estimation, and most of the equations are designed for single machine manufacturing systems. To better estimate the flow time of a job in a more complex system in which there are multiple machines and multiple workstations, we propose a distributed learning approach that divides the manufacturing system into multiple small parts and collects real-time local information in each part to predict the waiting time for a job. We evaluate the proposed approach by comparing it with existing methods using a variety of problem instances. The results show that the proposed approach outperforms existing methods and accordingly might improve the level of customer service when being used for due date promising.
{"title":"Estimating Job Flow Times by Using an Agent-Based Approach","authors":"W. Weng, S. Fujimura","doi":"10.1109/IIAI-AAI.2016.111","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.111","url":null,"abstract":"We consider the problem of estimating flow times of jobs that arrive dynamically in a manufacturing system. A job's flow time refers to the time between the job's arrival and completion. Most existing methods use some predefined equations for such estimation, and most of the equations are designed for single machine manufacturing systems. To better estimate the flow time of a job in a more complex system in which there are multiple machines and multiple workstations, we propose a distributed learning approach that divides the manufacturing system into multiple small parts and collects real-time local information in each part to predict the waiting time for a job. We evaluate the proposed approach by comparing it with existing methods using a variety of problem instances. The results show that the proposed approach outperforms existing methods and accordingly might improve the level of customer service when being used for due date promising.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115503406","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.258
Kei Ito, Ayumi Kizuka, M. Oba
In IT-related departments or schools, system development PBL(Project-Based Learning) is focused as one of practical education methods. The evaluation method of students' learning for such PBL is less well-established, despite the fact that educational effects of PBL are highly appreciated. Presentations or reports of PBL have been used to evaluate team in terms of the degree of success as a project. It is difficult to evaluate in terms of learning of individual students. In this paper, we focus on personal weekly report in our university PBL as one of the candidates which is utilized to evaluate the learning of students. Students of the PBL write activity reports in this weekly report. We instruct a part of students to write not only doing but also learning in the reports. And analyze submitted the reports of instructed and not instructed students.
{"title":"A Trial Utilization of Weekly Reports to Evaluate Learning for System Development PBLs","authors":"Kei Ito, Ayumi Kizuka, M. Oba","doi":"10.1109/IIAI-AAI.2016.258","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.258","url":null,"abstract":"In IT-related departments or schools, system development PBL(Project-Based Learning) is focused as one of practical education methods. The evaluation method of students' learning for such PBL is less well-established, despite the fact that educational effects of PBL are highly appreciated. Presentations or reports of PBL have been used to evaluate team in terms of the degree of success as a project. It is difficult to evaluate in terms of learning of individual students. In this paper, we focus on personal weekly report in our university PBL as one of the candidates which is utilized to evaluate the learning of students. Students of the PBL write activity reports in this weekly report. We instruct a part of students to write not only doing but also learning in the reports. And analyze submitted the reports of instructed and not instructed students.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129716062","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.246
Shun Shiramatsu, Takuya Nishida, Takayuki Ito, K. Fujita
Discussion facilitators play an important role for better consensus building in public debates because diverse stakeholders addressing public issues have diverse view points. We investigated how facilitators facilitate public debate with a statistical analysis approach using a public debate corpus collected by a Web-based forum system. This debate corpus consists of over one thousand utterances posted by debate participants and facilitators written in Japanese. To investigate linguistic expressions suitable for facilitating public debate, we extracted feature expressions of facilitators' utterances with focusing on several contextual features. The results show that facilitators' questioning plays an important role for avoiding stagnation of discussion and for increasing the number of participants' utterances. We are planning to apply the extracted feature expressions to generating utterances of autonomous facilitator agents in future work.
{"title":"Feature Expression Extraction from Discussion Facilitators' Utterances in Web-Based Forum System towards Autonomous Facilitator Agents","authors":"Shun Shiramatsu, Takuya Nishida, Takayuki Ito, K. Fujita","doi":"10.1109/IIAI-AAI.2016.246","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.246","url":null,"abstract":"Discussion facilitators play an important role for better consensus building in public debates because diverse stakeholders addressing public issues have diverse view points. We investigated how facilitators facilitate public debate with a statistical analysis approach using a public debate corpus collected by a Web-based forum system. This debate corpus consists of over one thousand utterances posted by debate participants and facilitators written in Japanese. To investigate linguistic expressions suitable for facilitating public debate, we extracted feature expressions of facilitators' utterances with focusing on several contextual features. The results show that facilitators' questioning plays an important role for avoiding stagnation of discussion and for increasing the number of participants' utterances. We are planning to apply the extracted feature expressions to generating utterances of autonomous facilitator agents in future work.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121100585","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 : 2016-07-10DOI: 10.1109/IIAI-AAI.2016.125
Yi Zhang, Junhao Wen, Jun Zeng, Qingyu Xiong
Welding fixtures are made specifically to hold multiple parts together, allow adequate tool passage, resist high heat and sputter, permit passage of weld runoff, and in some cases conduct electricity and provide grounding. Traditionally, welding fixture design often heavily relies on welding fixture design engineers' experience and knowledge and lacks obvious progress in utilizing automatic and intelligent technologies effectively. In this paper, a methodology of computer-aided welding fixture design is proposed. Based on this methodology, the design process is then presented, including: defining requirements, gathering and analyzing the information, fixturing design procedure, fixture design check and verification and post process. This methodology could help designers to make a conceptual fixturing solution quickly and, finally, finish the detailed solution of fixture design. The results of this paper have been shown in a case study using a welding fixture to define each idea of the methodology and to provide an example.
{"title":"Design Method and Information Representation for Computer Aided Welding Fixture Design","authors":"Yi Zhang, Junhao Wen, Jun Zeng, Qingyu Xiong","doi":"10.1109/IIAI-AAI.2016.125","DOIUrl":"https://doi.org/10.1109/IIAI-AAI.2016.125","url":null,"abstract":"Welding fixtures are made specifically to hold multiple parts together, allow adequate tool passage, resist high heat and sputter, permit passage of weld runoff, and in some cases conduct electricity and provide grounding. Traditionally, welding fixture design often heavily relies on welding fixture design engineers' experience and knowledge and lacks obvious progress in utilizing automatic and intelligent technologies effectively. In this paper, a methodology of computer-aided welding fixture design is proposed. Based on this methodology, the design process is then presented, including: defining requirements, gathering and analyzing the information, fixturing design procedure, fixture design check and verification and post process. This methodology could help designers to make a conceptual fixturing solution quickly and, finally, finish the detailed solution of fixture design. The results of this paper have been shown in a case study using a welding fixture to define each idea of the methodology and to provide an example.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126256397","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：