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Skill Level Evaluation for Taijiquan Based on Curve Fitting and Logarithmic Distribution Diagram of Curvature

SICE Journal of Control, Measurement, and system Integration 2013年第4期6卷 276-280页

作者： Toshiyuki Murao Yasuyuki Hirao Hiroshi Hashimoto Faculty of Science and Engineering Waseda UniversityJapan Science and Technology Agency CREST Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology

This paper proposes an objective skill level evaluation method for Taijiquan. The proposed skill level evaluation method utilizes both curve fitting to spiral motion and classification based on a logarithmic distribution diagram of curvature for a human body part. In order to demonstrate a possibility of the proposed method, the paper presents experimental results with a Kinect sensor for three subjects, i.e., a beginner, intermediate and expert.

关键词： skill level evaluation Taijiquan logarithmic distribution diagram of curvature Kinect

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Posture adjustment according to load inclination for a passive-type assistive wheelchair 1

Posture adjustment according to load inclination for a passi...

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1st IEEE International Conference on industrial Cyber-Physical systems, ICPS 2018

作者： Kohara, Ryo Iwaki, Masahiro Chugo, Daisuke Muramatsu, Satoshi Yokota, Sho Hashimoto, Hiroshi School of Science and Technology Kwansei Gakuin University Sanda Japan School of Information Science and Technology Tokai University Hiratsuka Kanagawa Japan Faculty of Science and Engineering Toyo University Kawagoe Saitama Japan Master Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Shinagawa Tokyo Japan

ISBN: (纸本)9781538665312

Considering the road inclination conditions, we proposed an upper body posture adjustment system for a passive-type assistive wheelchair. On an inclined road, there is a high probability that a wheelchair will move in a direction that is different from that desired by its user. In our previous research, we proposed a system that estimated a wheelchair user's intentions and worked passively to complement their intentional force. This was accomplished by negating the wheel traction that was generated by the road's inclination using only the servo brakes on each wheel. However, in some cases, our system failed to assist the driving motion of the user because it negated only the gravitational force. Therefore, our wheelchair succeeded in avoiding the unintended movement, but its user was required to row the hand rims with a considerable amount of force to overcome these braking forces. Consequently, we proposed an upper body posture adjustment system that adapts to the inclined road conditions and reduces the wheel traction that is generated by gravity. The proposed system inclined the wheelchair seat and aligned the upper body posture of its user to the center position of the wheelchair. Using this method, the proposed system maintained the position of the user's center of gravity with respect to the center position of the wheelchair. Our experimental findings suggested that the proposed passive-type assistive wheelchair can complement the user's intentional force with smaller brake tractions, indicating that the user can drive the wheelchair using less physical strength. © 2018 IEEE.

关键词： Wheelchairs

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Video-Based Container Tracking system Using Deep Learning

Video-Based Container Tracking System Using Deep Learning

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International Conference on Cyber Physical, Computer and Automation systems, CPCAS 2019

作者： Rahmat, Basuki Via, Yisti Vita Wasian, Abdullah Purbasari, Intan Yuniar Sari, Ni Ketut Wurjani, Widi Bandong, Steven Joelianto, Endra Siregar, Persaulian Faculty of Computer Science Universitas Pembangunan Nasional "Veteran" Jawa Timur Surabaya Indonesia Engineering Physics Doctoral Program Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia

ISBN: (纸本)9789813340619

The process of loading and unloading containers at the port is very important to be automated in order to increase productivity, revenues, efficiency and safety in the logistics transportation process especially in a maritime country like Indonesia. To achieve this, identification and tracking of container positions need to be done accurately so that container transfers can occur precisely and smoothly. In this study, YOLO deep learning is used to detect moving containers. The model is trained using container images, and then the validation and testing process are carried out on the model using other container images. The results of training are stored in several checkpoints which will be compared to get the most accurate model. Obtained YOLO gave good results for tracking containers with MAP value of 68.63% and LAMR of 0.31. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Containers

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Exterior cooling system effect on lesion size in radio frequency ablation using bipolar forceps probe 5

Exterior cooling system effect on lesion size in radio frequ...

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5th International Conference on Instrumentation, Control, and Automation, ICA 2017

作者： Aryadinata, I. Komang A. Giantra, Ardityo Akasum, Gina F. Suprijanto Engineering Physics Program Faculty of Industrial Technology ITB Bandung Indonesia Instrumentation and Control Master Program Faculty of Industrial Technology ITB Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology ITB Bandung Indonesia

ISBN: (纸本)9781538603499

Radio frequency ablation has been used in many surgery procedures to disrupt the abnormalities in biological tissue. This procedure results in permanent damage to the tissue so there must not be any fault occur during the procedure. The common problem faced is the uneven distribution of necrotic tissue that led to a smaller lesion size. This paper proposed an experiment on exterior cooling system as an addition instrument to the basic radio frequency ablation instruments. This study was done to quantify the cooling effect of the external coil used. Cooling coil was supplied with cooled water at constant temperature and was set into several volume flow rates. The coil contacted to the surface of the tissue when ablation was executed. The ablation was done for a minute with bipolar forceps probe at some sections of cattle liver. Temperature measurement points of the tissue were observed during ablation time. The ablated tissues were cut and then the width and the height of the lesion were measured for analysis. The with-cooling coil experiment showed the maximum temperature reached was lower than the no-cooling coil experiment. The results showed that by using exterior cooling coil there were increases in the size of the lesions. The use of external cooling system as additional instrument is suitable for electrosurgery which objective is to enlarge the lesion size without reaching the charring condition. © 2017 IEEE.

关键词： Tissue

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Alert and Response of Earthquake and Tsunami for Community Based Disaster Risk Reduction 2

Alert and Response of Earthquake and Tsunami for Community B...

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2nd International Conference on Sciences and technology Applications, ICOSTA 2020

作者： Retno Susilorini, Rr M. I. Pamudji, Andre Kurniawan Sanjaya, Ridwan Ismail, Amrizarois Amasto, Ardhito Hayyu Department of Infrastructure and Environmental Engineering Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Indonesia Master Program of Environmental and Urban Studies Faculty of Environmental Science and Technology Soegijapranata Catholic University Semarang Indonesia Department of Information System Faculty of Computer Science Soegijapranata Catholic University Semarang Indonesia

Indonesia had been suffered by earthquake and tsunami for many centuries. Since many lives have taken by tsunami strikes, alert and response system are very important as important part of Disaster Risk Reduction, especially in area with high population density. This research conducted in Kangkung fishing village in Bandar Lampung coastal area which is an earthquake and tsunami prone area. The aim of the research is to study alert and response of Community Based Disaster Risk Reduction. The research conducted by qualitative method and purposive-descriptive approach. There were 53 respondents which participated in the survey and interview. It is reported that "Smart Resilient City"model suitable for community needs of alert and response of earthquake and tsunami disaster. This research meets conclusion that "Smart Resilient City"model may become a great solution in Community Based Disaster Risk Reduction to cope with the hazard of earthquake and tsunami comprehensively and sustainably. © Published under licence by IOP Publishing Ltd.

关键词： Surveys

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An eddy brakes dynamometer control system design using state space based PID controller

An eddy brakes dynamometer control system design using state...

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IEEE Conference on Control, systems & industrial Informatics (ICCSII)

作者： Tirta Nahari Endra Joelianto Suyatman Engineering Physics Study Program Faculty of Industrial Technology Bandung Institute of Technology Bandung Indonesia

Dynamometer is an automotive device that is used to perform engine testing. From this test, engine information such as power, torque, and emition can be obtained for design and analysis purposes. Eddy brakes dynamometer is considered because it is considerably more effective and controllable. In order to design a brakes control system based on state space approach, a state space model is required. ADALINE (Adaptive Linear Network) method is selected to identify state space model of the system from input-output data. The state space based PID controller is then applied by selecting the appropriate parameters using Ackerman pole placement method. Simulation and experimental results show that the closed loop responses satisfiy the design requirements.

关键词： MATLAB Engines Robustness

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Comparison Performance on SOTA Deep Learning Models for Coffee Beans Grading Inspection

Comparison Performance on SOTA Deep Learning Models for Coff...

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Asian Control Conference

作者： Achmad Norman Firdaus Amalia Rakhmawati Vebi Nadhira Suprijanto Endang Juliastuti Gema Nuran Utomo Ayu Gareta Risangtuni Master Program on Instrumentation and Control Faculty of Industrial Technology Bandung Institute of Technology Bandung Indonesia Graduate Program on Engineering Physics Faculty of Industrial Technology Bandung Institute of Technology Bandung Indonesia Instrumentation Control and Automation Research Group Faculty of Industrial Technology Bandung Institute of Technology Bandung Indonesia

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

Several coffee producers rely on manual inspection for quality control, which is prone to inconsistencies and time consumption. Recent studies have proposed Comparison performance on State-of-The-Art (SOTA). Deep learning models were investigated as part of the proposed intelligent computer vision for faster and more reliable coffee bean grading. Performance Deep learning models, i.e., MobileNetV3Small, ResNet50, EfficientNetV2L, and DenseNet201, were evaluated to grade the quality of coffee beans that followed a grading procedure based on Indonesian National Standard (SNI) 01-2907-2008. A specific tray was designed to position coffee beans evenly without overlap for sample preparation, which consist of about 500–600 coffee beans. The process of capturing images is conducted systematically, focusing on each type of coffee bean defect individually. For comparison of SOTA models, five classes of coffee bean defects, With 1053 beans per class, the total dataset comprises 5265 beans. This dataset was divided into 10% for testing and 90% for training. Within the training data, 12% was reserved for validation. The result from this paper shows that MobileNetV3Small achieves the highest accuracy (99.43%) with minimal memory and parameters. Its efficient design allows for robust feature extraction, crucial for distinguishing subtle defect features. While larger models like ResNet50 and EfficientNetV2L also perform well, they exhibit higher memory and parameters.

关键词： Deep learning Training Accuracy Computational modeling Training data Inspection Feature extraction

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Performance analysis of adaptive power control based on Signal to Interference Ratio (SIR) using fuzzy genetic for WCDMA

Performance analysis of adaptive power control based on Sign...

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International Conference on Digital Information and Communication technology and it's Applications (DICTAP)

作者： Firdaus Ali Muayyadi Rina Puji Astuti Dept. of Electrical Engineering Faculty of Industrial Technology UII Yogyakarta Indonesia Master Program on Telecommunication Engineering Telkom Institute of Technology Bandung Indonesia

The number of active users in a cell in the WCDMA system is very limited and influenced by co-channel interference and fading radio channels. Power control is needed to reduce interference by reducing the effects of near-far problem, co-channel interference and fading channels. WCDMA system is required power control that works fast and precisely because radio channels are changing randomly. Fuzzy Genetic Algorithm (FGA) gives the correct solution to the dynamic decision making problem under non-linear conditions, based on simple rules. This paper presents application of adaptive SIR based power control using the FGA on uplink WCDMA system, and compared to fixed step size method using computer simulation. The results confirmed that use of FGA on the SIR-based Power Control for WCDMA systems increases the number of active users while maintaining QoS standards. This is shown by the decline in value of outage probability compared to fixed step methods. Average outage probability at fixed power control step is 0.270036 while the FGA power control is 0.18465.

关键词： Power control Multiaccess communication Genetic algorithms Spread spectrum communication Tin Fading Manganese

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Container Detection system Using CNN Based Object Detectors 7

Container Detection System Using CNN Based Object Detectors

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7th International Conference on Instrumentation, Control, and Automation, ICA 2021

作者： Bandong, Steven Nazaruddin, Yul Yunazwin Joelianto, Endra Institut Teknologi Bandung Engineering Physics Doctoral Program Faculty of Industrial Technology Bandung Indonesia National Center for Sustainable Transportation Technology CRCS Instrumentation and Control Research Group Department of Engineering Physics Bandung Indonesia University Center of Excellence on Artificial Intelligence for Vision NLP and Big Data Analytics Institut Teknologi Bandung Instrumentation and Control Research Group Department of Engineering Physics Bandung Indonesia

ISBN: (纸本)9781665432955

The increase in free trade will also amplify the exchange of goods between countries and islands, especially in the seaports. The manual operation of the gantry-crane at the seaports has a risk due to human negligence. For that reason, automation is strongly needed in the loading and unloading of the container. Camera-based object detection is implemented to achieve this goal. In the recent years, CNN gives better accuracy in term of image classification, recognition and detection compared to the traditional method that use handcrafted features. In this paper, several advanced detection methods using CNN-based object detection, namely MobileNet, ResNet, and Faster RCNN are compared to detect and track the movement of containers. The results of the experiment show that the SSD ResNet and Faster RCNN methods are superior in terms of detection accuracy based on the Precision, Recall, Average Precision, and IoU values. MobileNet v3 excels in speed detection compared to the other methods. © 2021 IEEE.

关键词： Containers

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Integrating GPS and Reference Point Data for Localization: A Study on Probabilistic Observation and Transmission in Locational Context

Integrating GPS and Reference Point Data for Localization: A...

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Asian Control Conference

作者： Aulia Rahma Jumardi Nadana Ayzah Azis Yul Yunazwin Nazaruddin Vebi Nadhira Faculty of Industrial Technology Instrumentation and Control Master Program Institut Teknologi Bandung Bandung Indonesia Faculty of Industrial Technology Engineering Physics Doctoral Program Institut Teknologi Bandung Bandung Indonesia Department of Engineering Physics Instrumentation Control and Automation Research Group Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

To enhance the accuracy of vehicle localization, this research proposes a map matching system with a distinct architecture involving four key stages. Each GPS point creates a local map, and the system detects reference points within that map, subsequently calculating Euclidean distances and determining observation and transmission probabilities. The matching results yield the actual position of the vehicle on the map. The localization algorithm incorporates distance computation using a sliding window technique, observation probability based on proximity between GPS and reference points, and transmission probability to minimize errors. The study employs real-world tests in Bandung, Indonesia, demonstrating successful correction of GPS positions using the proposed method. In conclusion, this research provides a significant contribution in enhancing the accuracy of autonomous vehicle localization. By employing a probabilistic approach to observation and transmission, the method effectively corrects the vehicle's position, compensating for potential inaccuracies introduced by GPS. The utilization of a local map also proves impactful by including reference point positions, resulting in more precise outcomes. From the conducted field tests, all GPS points are accurately detected in their actual positions where there are seven GPS points do not match to vehicle trajectory, after the matching process, all point positions are successfully corrected, ensuring accurate localization by the system.

关键词： Location awareness Accuracy Computer architecture Probability Probabilistic logic Trajectory Autonomous vehicles

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