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Analysis of Diagnosis Algorithm Implemented in TCU for High-Speed Tracked Vehicles (고속 무한궤도 차량용 변속제어기 진단 알고리즘 분석)

  • Jung, Gyuhong
    • Journal of Drive and Control
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    • v.15 no.4
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    • pp.30-38
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    • 2018
  • Electronic control units (ECUs) are currently popular, and have evolved further towards the high-end application of autonomous vehicles in the automotive industry. Such digital technologies have also become widespread, in agriculture and construction equipment. Likewise, transmission control of high-speed tracked vehicles is based on the transmission control unit (TCU), performing complex gear change control functions, and diagnostic algorithms (a TCU's self-diagnostic and reporting capability of malfunction data through CAN communication). Since all functions of TCU are implemented by embedded-software, it is hardly possible to analyze specifications by reverse engineering. In this paper a real-time transmission simulator adaptable to TCU is presented, for analysis of diagnosis algorithm and standards. Signal simulation circuits are deliberately designed considering electrical characteristics of TCU inputs and various analysis tools, such as analog input auto scan function, and global output enable switch, are implemented in software. Test results from hardware-in-the-loop simulator verify tolerance time for each error, as well as cause of fault, error reset conditions.

Development of Feed Controller Using Synchronization Algorithm (동기화 알고리즘을 이용한 피드컨트롤러 개발)

  • Lee, Chae-Wook
    • Journal of the Institute of Convergence Signal Processing
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    • v.19 no.4
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    • pp.162-166
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    • 2018
  • Companies that use automatic feeder systems use multiple feeders in close proximity to each other for mass production. Unlike when the feeder is used independently, it does not oscillate to a value that is set to offset or freeze due to symbiosis caused by asynchronous forces hitting each other. This may result in the shipment being damaged by hitting each other or thrown to one side, preventing the transport from being moved to the next process. Whenever an unstable resonance occurs, the operator must reset the value of each feed controller or operate it several times. To address these problems, this paper proposes synchronization algorithm suitable for feed controllers using multiple units and tests are used to confirm performance improvements.

Wireless Sensor Networks have Applied the Routing History Cache Routing Algorithm (무선센서 네트워크에서 Routing History Cache를 이용한 라우팅 알고리즘)

  • Lee, Doo-Wan;Jang, Kyung-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.1018-1021
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    • 2009
  • Wireless Sensor Network collects a data from the specific area and the control is composed of small sensor nodes. Like this sensors to after that is established at the beginning are operated with the battery, the operational duration until several years must be continued from several months and will be able to apply the resources which is restricted in efficiently there must be. In this paper RHC (rounting history cache) applies in Directed Diffusion which apply a data central concept a reliability and an efficiency in data transfer course set. RHC algorithms which proposes each sensor node updated RHC of oneself with periodic and because storing the optimization course the course and, every event occurrence hour they reset the energy is wasted the fact that a reliability with minimization of duplication message improved.

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A Study on the Improvement of Driving of Educational Robots with OID Sensors (OID센서로 주행하는 교육용 로봇의 주행 개선을 위한 연구)

  • Song, Hyun-Joo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.4
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    • pp.549-557
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    • 2021
  • In this research, we will use the existing OID sensor environment for smart robots, which are a type of educational robot, but we would like to propose that the problem of running be handled by a program. Maybe you have driving information We are building a driving test environment focusing on environment, position recognition, route planning, obstacle avoidance and path reset, and it is not the average final error rate, but the time when the error increases The experiment was conducted by a household that catches the moment of recalibration. Through the process, stable running results were obtained compared to the previous experiment. In this research, I think that it will be a development method that can improve the running performance of educational robots equipped with low-cost sensors currently on the market.

Study on the mechanical behaviors of timber frame with the simplified column foot joints

  • Yang, Qing-shan;He, Jun-xiao;Wang, Juan
    • Structural Engineering and Mechanics
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    • v.77 no.3
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    • pp.383-394
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    • 2021
  • Column foot in traditional Chinese timber structures may be subjected to be uplifted due to the lateral load and subsequently reset under the vertical loads. The residual moment of the rocking column foot is the most important parameter representing the mechanical behaviors of column foot, and the simplification of joints is the basis of structural analysis of whole structure. The complicated mechanical behaviors of joint and the modeling of the column foot joint has been undertaken historically based on the experiments and numerical simulation. On the condition of limited application range of those models, a lack of simplified model to represent the mechanical behaviors of joint deserves attentions. There is a great need to undertake theoretical studies to derive the residual moment and make better simplified model of the joint. This paper proposes the residual moment and equivalent simplified model of the rotational stiffness for column foot joint. And, the timber frame is established based on the simplified model, which is verified by solid finite element model. Results show that a mutual agreement on the mechanical behaviors of the timber frame is obtained between the simplified model and the solid finite element model. This study can serve as the references of the structural analysis for the traditional timber structures.

Analysis of Safety of Mahuang in Studies for Treatment of Obesity (비만 치료 연구에서 마황의 안전성 분석)

  • Cho, Minjin;Kim, Sungha;Kim, Hojun;Song, Mi Young
    • Journal of Korean Medicine for Obesity Research
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    • v.21 no.2
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    • pp.95-104
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    • 2021
  • Objectives: The purpose of this study is to analyze the adverse events and safety of Mahuang used as anti-obesity treatment in Korean medicine. Methods: PubMed, EMBASE, Cochrane, KoreaMed, Oriental Medicine Advanced Searching Integrated System (OASIS) and SCIENCE-ON were used as searching for randomized controlled trials investigating the safety of Mahuang for treating obesity from January, 2000 to July, 2021. Results: Total 6 studies were included for analyzing. In most studies, heart rate was higher in experimental group than in placebo group with statistically significant difference. Both systolic and diastolic blood pressure had no significant differences between both groups, but systolic blood pressure got lower in experimental group. Most adverse events reported in experimental group were dry mouth, constipation, diarrhea, palpitation and insomnia, but serious adverse events were not reported. Conclusions: This study provides the evidence about the safety of Mahuang for treating obesity. However, increase of heart rate and minor adverse events could be occurred. Further study is needed to confirm the safety of Mahuang.

Fast Convergence GRU Model for Sign Language Recognition

  • Subramanian, Barathi;Olimov, Bekhzod;Kim, Jeonghong
    • Journal of Korea Multimedia Society
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    • v.25 no.9
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    • pp.1257-1265
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    • 2022
  • Recognition of sign language is challenging due to the occlusion of hands, accuracy of hand gestures, and high computational costs. In recent years, deep learning techniques have made significant advances in this field. Although these methods are larger and more complex, they cannot manage long-term sequential data and lack the ability to capture useful information through efficient information processing with faster convergence. In order to overcome these challenges, we propose a word-level sign language recognition (SLR) system that combines a real-time human pose detection library with the minimized version of the gated recurrent unit (GRU) model. Each gate unit is optimized by discarding the depth-weighted reset gate in GRU cells and considering only current input. Furthermore, we use sigmoid rather than hyperbolic tangent activation in standard GRUs due to performance loss associated with the former in deeper networks. Experimental results demonstrate that our pose-based optimized GRU (Pose-OGRU) outperforms the standard GRU model in terms of prediction accuracy, convergency, and information processing capability.

Deregulation Necessity for the Invigoration of Drone Utilization in the Geospatial Information Field

  • Heo, Joonghyeok;Park, Joonkyu
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.40 no.4
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    • pp.351-357
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    • 2022
  • In this study, a direction for deregulation that can increase the use of drones in the field of spatial information is presented. Regulations and administrative procedures for drone operation showed similar procedures in Japan, the United States, and Korea, such as reporting flight equipment, driver's license, and prohibition of flying within a specific flight zone. In the United States, policies to encourage the use of commercial drones have been implemented, and Japan has slightly tightened regulations on drone operation to protect the Olympics and important national facilities. As a result of the study, in the area where drone operation is restricted for geospatial data construction, Korea was setting the largest area, and GIS analysis showed that Korea's drone flight restricted area was more than 19.4% of the country's land area. In order to increase the utilization of drones in the construction and utilization of spatial information in the future, it is necessary to reset the drone flight restriction zone and reduce the area of the drone flight restriction zone. In addition, it was found that Korea is the only country that has formal and specific regulations on geospatial information security management. In order to increase the construction of geospatial information using drones, it is necessary to ease GSD (Ground Sample Distance)regulations.

Reinforcement Learning of Bipedal Walking with Musculoskeletal Models and Reference Motions (근골격 모델과 참조 모션을 이용한 이족보행 강화학습)

  • Jiwoong Jeon;Taesoo Kwon
    • Journal of the Korea Computer Graphics Society
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    • v.29 no.1
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    • pp.23-29
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    • 2023
  • In this paper, we introduce a method to obtain high-quality results at a low cost for simulating musculoskeletal characters based on data from the reference motion through motion capture on two-legged walking through reinforcement learning. We reset the motion data of the reference motion to allow the character model to perform, and then train the corresponding motion to be learned through reinforcement learning. We combine motion imitation of the reference model with minimal metabolic energy for the muscles to learn to allow the musculoskeletal model to perform two-legged walking in the desired direction. In this way, the musculoskeletal model can learn at a lower cost than conventional manually designed controllers and perform high-quality bipedal walking.

Behavioral Strategies for Weight Loss Maintenance (체중감량 이후 장기적인 유지를 위한 다양한 행동전략)

  • Young Hye Cho
    • Archives of Obesity and Metabolism
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    • v.2 no.1
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    • pp.6-10
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    • 2023
  • Compensatory changes in energy consumption and neuro-hormonal changes following weight loss make it difficult to maintain the reduced weight and may cause weight regain. Therefore, establishing a long-term weight control plan and strategy starting from the initial weight loss period is necessary. Both the patient and doctor should know that weight loss cannot occur continuously, and that maintaining weight after the weight loss period is the basic course of obesity treatment. No single dietary pattern is effective for weight maintenance, and a variety of dietary control methods - such as calorie restriction and healthy proportions of carbohydrates, proteins, fats, and meal replacements - should be used to target an integrated and healthy dietary habit. An increase in physical activity is needed for weight loss and maintenance; however, rather than recommending an excessive amount of exercise, it is better to set realistic and long-term achievable goals. It is necessary to reset the goal according to the patient's weight maintenance stage and continuously apply behavioral therapies, such as self-monitoring and stress management. In previous studies, since the degree of weight loss and changes in behavioral patterns over the course of one year were important factors in maintaining long-term weight loss, obesity therapists should closely examine patient data and behavioral patterns across a period of one year and actively intervene when needed.