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김동원,한병성,정길도,김용준,김명순,임태영,채석,Kim, Dong-Won,Han, Byung-Sung,Chong, Kil-To,Kim, Yong-Jun,Kim, Myoung-Soon,Lim, Tae-Yeong,Chae, Seok 대한산업공학회 1998 산업공학 Vol.11 No.3
The agriculture and fishery share in the Korean GDP is continuously decreasing after 1960s. Furthermore the proportion of these industries in the GDP has diminished as low as 10 percent in recent years. However, the stockbreeding sector in these industries are considerably expanded. More than 50 percent of the whole farmhouses are involved in the livestock farming, and the stock farming portion is steadily increased in its size and scope. Thus, the mechanization and the automization of stockbreeding equipments are greatly required to reduce down production cost, as well as to win the competitiveness in the global market. From this aspect, developed in this paper is a stockbreeding management system (SMS) for dairy cattle, which can be used in small and medium sized dairy farms. First, the basic schema of the stockbreeding management system are addressed in view of stockbreeding management for individual dairy cattle. Electronic identification (EI) systems and sensory devices have changed stockbreeding management strategy from group stock control into individual stock control manner. The SMS receives stock body measurement data through the sensory devices such as weight, temperature, and milk conductivity meters. A common database then integrates those measuring data together so that the SMS can determine the appropriate solution on each stock's breeding such as feeding and milking. Thus, each stock can be supervised by a sophisticated SMS that provides the best solution to the stockbreeding throughout the stock's whole life-cycle. Secondly. six major submodules of the SMS, based on the EI and sensory devices, are proposed. They are individual stock management, disease management, health management, feeding management, milking management, and a propagation management submodule. Finally, a prototype system for the SMS is demonstrated. The system is developed using Delphi 2 client-server system run under the Windows 95 environment.
Impact of Kalman Filtering in Battery Management Systems
Nashatar Singha,Kil To Chong(정길도) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.12
This paper analyzes the stability of a battery management system (BMS) in hybrid electrical vehicles. The purpose of the BMS is to guarantee safe and reliable battery operation. It is shown that the internal resistance and internal voltage of the battery affect system stability. Variations in these parameters may occur due to aging. Using average-value modeling, this problem is framed into a nonlinear system formulation and the region of stability as a function of the internal resistance and the internal voltage of the battery is determined. This paper also extends its results in determining the configuration of a battery pack in terms of the number of battery cells in series and parallel to prevent instability while meeting demand power requirements. The findings are useful both in the design and operation stages of large-scale battery storage systems in the grid. To maintain this purpose, state monitoring and evaluation, state of charge (SoC), state of health (SoH), remaining useful life (RUL) and cell balancing are functionalities that have been implemented in BMS. The uncertainty of a battery’s performance poses a challenge to the implementation of these functions. Through reviewing the latest methodologies for the state evaluation of batteries, the future challenges for BMSs are presented and possible solutions are proposed as well.
Fuzzy logic based Obstacle Avoidance system for Mobile Robot
Subbash Panati,Kil to Chong(정길도) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.12
Mobile robot navigation in real world environment is a key research area related to autonomous robots. Path planning and obstacle avoidance play a key role in mobile robot navigation. This paper proposes a sensor based path planning method which utilizes fuzzy logic for mobile robot obstacle avoidance. The ultrasonic sensors are used to acquire the information about the environment around the mobile robot, based on the sensor readings the fuzzy rules are fired to make a decision on the angular velocity of the left and right wheels of mobile robot. The fuzzy rules and membership functions are constructed based on human reasoning and are tuned by iterative simulations. The simulation results show the effectiveness of the proposed method.
Q-learning for intersection traffic flow Control based on agents
주선(ZhouXuan),정길도(Kil To Chong) 대한전기학회 2009 정보 및 제어 심포지엄 논문집 Vol.2009 No.5
In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.
Multi-Robots and Robot Sensor Network Applications
Bayanjargal Baasandorj,Kil To Chong(정길도) 제어로봇시스템학회 2014 제어로봇시스템학회 각 지부별 자료집 Vol.2014 No.12
The interaction of distributed robotics and wireless sensor networks has led to the creation of mobile sensor networks. Mobile sensor networks are a class of networks where small sensing devices move in a space over time to collaboratively monitor physical and environmental condition. They are the growing popular class of WSN in which mobility plays a key role in the execution of the application. By introducing mobility to nodes in WSN, we can enhance its capability and flexibility to support multiple mansions and to handle the aforementioned problems. The decreasing costs and the increasing capabilities make mobile sensor networks possible and practical. More and more researches focus on the development of mobile wireless sensor networks (MWSNs) due to its favorable advantages and applications. The research on mobile sensor networks has been plenty worldwide. Robotics can be used in wireless sensor networks to solve many problems such as node repositioning, node localization, acting as data mules, detecting and reacting to sensor failure, aggregate sensor data and even provide mobile battery chargers for the nodes. And also wireless sensor networks can help solve many problems in robotics, such as path planning, robot localization sensing, mapping. Most of the problems in traditional sensor networks may be addressed by incorporating intelligent, mobile robots directly into it. Mobile robots provide the means to explore and interact with the environment in a dynamic and decentralized way. In addition to enabling mission capabilities well beyond those provided by sensor networks, these new systems of networked sensors and robots allow for the development of new solutions to classical problems such as localization and navigation. In this paper we present a overview of multi-robots systems its uses and in the second part reviewed Robotic Sensor network applications.