The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020最新文献_第2页

Speech Section Extraction Method Using Image and Voice Information 基于图像和语音信息的语音段提取方法

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-22 DOI: 10.12792/ICIAE2021.008

Etsuro Nakamura, Y. Kageyama, S. Hirose

{"title":"Speech Section Extraction Method Using Image and Voice Information","authors":"Etsuro Nakamura, Y. Kageyama, S. Hirose","doi":"10.12792/ICIAE2021.008","DOIUrl":"https://doi.org/10.12792/ICIAE2021.008","url":null,"abstract":"Meeting minutes are useful for efficient operations and meetings. The labor cost and time for taking the minutes can be minimized using a system that can assign a speaker to the minutes. An automatic speaker identification method using lip movements and speech data obtained by an omnidirectional camera was developed. To improve the accuracy of speaker identification, it is necessary to use the extracted data of speech sections. The proposed speech section extraction method was studied as a preprocessor for speaker identification. The proposed method consists of three processes: i) extraction of speaking frames using lip movements, ii) extraction of speaking frames using voices, and iii) discrimination of speech sections using these extraction results. In the extraction of speech sections using lip movements, the nose width was used for a threshold for automatic calculation. The speech sections can be extracted, even when the distance between the camera and the subject changes, by using a threshold based on the width of the nose. Finally, 11 sentences of speech video data (154 data) of 14 subjects were used to evaluate the usefulness of the method. The evaluation result obtained was a high F-measure of 0.96 on average. The results reveal that the proposed method can extract speech sections, even when the distance between the camera and the subject changes.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134138813","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}

引用次数: 2

Admittance-based Bilateral Control System Implementing Communication Traffic Reduction Method 基于准入的双边控制系统实现通信流量减少方法

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-22 DOI: 10.12792/ICIAE2021.030

S. Kimura, T. Nozaki, T. Murakami

引用次数: 0

Tensile Shear Strength Characteristics for Adhesively Single-lap Joints Composed of Quasi-isotropic Laminated CFRPs and Aluminum Alloy 准各向同性cfrp -铝合金单搭接接头的抗拉剪切强度特性

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-22 DOI: 10.12792/ICIAE2021.032

J. Shimura, M. Miyagawa, S. Kurosaki

引用次数: 0

Autonomous Drone System Development for Power Transmission Line Inspections 用于输电线路检测的无人机自主系统开发

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.031

Kishigaki Nobuhiro, Norihiko Tsutsumi, Toshikazu Teshigawara, Daisuke Ota, Hiroyuki Miyoshi, Kensei Yamamoto, F. Minoura, Shiraishi Tomonori, Chiba Tsuyoshi, Kumada Masayuki, Wiktor Piwowarczyk, Takayuki Dewa

引用次数: 0

Development of Action-Recognition Technology Using LSTM Based on Skeleton Data 基于骨骼数据的LSTM动作识别技术的发展

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.009

Hechen Yun, Etsuro Nakamura, Y. Kageyama, C. Ishizawa, Nobuhiko Kato, Kentaro Igarashi, Mamoru Suzuki

{"title":"Development of Action-Recognition Technology Using LSTM Based on Skeleton Data","authors":"Hechen Yun, Etsuro Nakamura, Y. Kageyama, C. Ishizawa, Nobuhiko Kato, Kentaro Igarashi, Mamoru Suzuki","doi":"10.12792/ICIAE2021.009","DOIUrl":"https://doi.org/10.12792/ICIAE2021.009","url":null,"abstract":"Recently, the population of workers of adults aged over 55 years is growing at work sites. Middle-aged adult workers have a higher occurrence rate of work accidents than younger workers. Therefore, it is necessary to develop a safety-management system to ensure safety. This paper proposes an approach for the recognition of human actions based on human-skeleton data as a part of the system in construction industries. The proposed approach consists of four processes: ⅰ) extraction of skeleton data from captured video data, ⅱ) interpolation of skeleton joint-points that were missed, ⅲ) calculation of features using interpolated skeleton data, and ⅳ) construction of action-recognition model using interpolated data and calculated features. We evaluated the action-recognition accuracy performance for 5 types of actions from 6 subjects. The evaluation result achieved a high recognition accuracy of 93.1% on average. The results reveal that the proposed approach can be used to recognize actions from video data, and interpolation methods can significantly improve the action-recognition accuracy of the proposed approach.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130522056","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}

引用次数: 1

Dynamics Identification and Contact Force Estimation of Multi DoF Robot Based on Base Frame Force Sensor 基于基架力传感器的多自由度机器人动力学辨识与接触力估计

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.040

Kaiki Fukutoku, T. Murakami

{"title":"Dynamics Identification and Contact Force Estimation of Multi DoF Robot Based on Base Frame Force Sensor","authors":"Kaiki Fukutoku, T. Murakami","doi":"10.12792/ICIAE2021.040","DOIUrl":"https://doi.org/10.12792/ICIAE2021.040","url":null,"abstract":"External force detection system plays an important role for robots to operate in the human living environment. Force information determines the interaction between the robot and the environment. However, there are many restrictions on the use of force sensors. Many force sensors are required for wide range contact detection. The force sensor-less method that uses current and angle information is difficult to apply for high reduction ratio mechanisms. In this paper, we propose a method for estimating contact force using one force sensor implemented in the base frame. It is necessary to identify the robot dynamics in order to estimate the contact force. Only the base frame force sensor and encoders are used to identify the dynamics. Therefore, it is very easy to apply. In addition, since it is not affected by joint friction, it can be applied to high reduction ratio mechanisms. The proposed contact force estimation method has a sensitivity for the entire robots. Therefore, contact detection is possible no matter where the force is applied to the robot. The effectiveness of the dynamics identification and the contact force estimation is verified experimentally.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114054448","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}

引用次数: 0

Development of a Deep Learning System with Small Amount of Data for Bridges Health Monitoring 面向桥梁健康监测的小数据深度学习系统的开发

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.007

K. Hayakawa, Syusaku Tomita, Kentaro Matsunaga, Takeshi Wada, Takashi Obata

引用次数: 0

Prediction and Simulation for Turning Chatter Control by Spindle Speed Variation 主轴转速变化控制车削颤振的预测与仿真

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.013

Huaxia Lin, J. J. Wang, Kaoshiung Chen

{"title":"Prediction and Simulation for Turning Chatter Control by Spindle Speed Variation","authors":"Huaxia Lin, J. J. Wang, Kaoshiung Chen","doi":"10.12792/ICIAE2021.013","DOIUrl":"https://doi.org/10.12792/ICIAE2021.013","url":null,"abstract":"Chattering of machine tool such as lathe during cutting is traditionally an annoying and dangerous problem encountered in manufacturing. How to control machine chatter is thus a nontrivial task for years. In this article, the dynamics of turning cutting is modelled and simulated for exploring the feasibility to suppress chattering using spindle speed variation technique. In parallel, a conventional manual lathe equipped with a self-designed sensor module serves as the experiment carrier for evaluating the performance. The results indicated that the simulation prediction agree with experimental data essentially and this ensures the feasibility. Both lumped global cutting constants (LGCC) and dual-mechanism global cutting constants (DGCC) models are adopted in analytical prediction and numerical simulation. Furthermore, process damping has also been added into numerical simulation, results of which are compared with cutting experiments. The critical stable depth of cut of DGCC model with process damping is shown to agree with experimental results. Sinusoidal spindle speed variation is further used to suppress turning chatter. Numerical simulation is used to find out the possible parameters to be applied in cutting experiments. Currently, optimization of spindle speed variation is underway for further improving chattering control.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681708","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}

引用次数: 0

Performance Benchmark Characterization and Braking Maneuverability Evaluation of Antilock Braking System with a Self-Developed Test Bench 自主研制的防抱死制动系统性能基准表征及制动机动性评价

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.012

Tsung-Huan Hsueh, Shu-Heng Guo, Shao-Hsuan Hung, Kuo-Shen Chen, M. Tsai

{"title":"Performance Benchmark Characterization and Braking Maneuverability Evaluation of Antilock Braking System with a Self-Developed Test Bench","authors":"Tsung-Huan Hsueh, Shu-Heng Guo, Shao-Hsuan Hung, Kuo-Shen Chen, M. Tsai","doi":"10.12792/ICIAE2021.012","DOIUrl":"https://doi.org/10.12792/ICIAE2021.012","url":null,"abstract":"Antilock Braking Systems (ABS) are widely adapted in modern vehicles for enhancing driving safety and maneuverability in braking operation. Their performance and robustness against possible environment variation are thus extremely important. Currently, most ABS related research are usually focused on novel controller design and the above issues are less concerned. However, from whole system performance perspective, such concern must be addressed and essential performance index must be defined and characterized. In this work, these issues are implemented using a commercial available Bosch 9 ABS under a self-designed test bench to serve as the reference product for establishing adequate performance index and their benchmark standards for evaluate the effectiveness of subsequent controller designs. Specifically, the variations of three possible factors: braking oil pressure, tire pressure, and normal contact force, are considered to characterize the maneuverability and performance variations of the Bosch 9 module in five aspects: the first slip peak value, average and standard deviation of slip during operation, and the traditional required braking time and achieved distance under using different riding conditions. In parallel, the effectiveness of the self-developed controller is also characterized under the same conditions. The result shows that the self-designed controller has similar response and robustness as that of ABS 9 against the variations of tire pressure and normal contact force. However, the robustness is inferior against oil pressure, resulting inferior responses. In summary, this study proposes a set of benchmark standards on the reference product as the guidance for performance optimization of self-designed controllers and this should be vital in ABS product design iterations.","PeriodicalId":161085,"journal":{"name":"The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117235368","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}

引用次数: 0

Measurements of Body Movement in Chick Embryos During Early Stages 鸡胚胎早期身体运动的测量

The Proceedings of The 9th IIAE International Conference on Industrial Application Engineering 2020 Pub Date : 2021-01-19 DOI: 10.12792/ICIAE2021.022

K. Moriya, Yuya Chiba

引用次数: 1