• ETRI Journal
• /
• v.35 no.1
• /
• pp.146-149
• /
• 2013

We propose a reconciliation sublayer (RS)-based lane and traffic control protocol for energy-efficient 40-G/100-G Ethernet. The RS performs active/inactive lane control and data rate adaptation depending on active lane information received from the upper layer. This protocol does not result in a processing delay in the media access control layer, nor is an additional buffer required at the physical layer for dynamic lane control. It ensures minimal delay and no overhead for the exchange of control frames and provides a simple adaptive data rate.

• Proceedings of the KIEE Conference
• /
• 2004.11c
• /
• pp.653-656
• /
• 2004

This paper outlines the three main fieldbus type standards: Foundation Fieldbus; WorldFIP; and the Profibus, each of which have great advantages over traditional instrumentation networking technology. The paper shows, using their specification, how they improve traditional control and data acquisition methods. By analysing the main robust, how the can be used to distribute data around the control system, provided increased diagnostic information, are easy to implement, fault confinement, and move simple control operations from the main controller to the local environment. This will help to segment industrial plants into zones which can control themselves. The main control will then be responsibility high-level control. and interzone communications.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.104.1-104
• /
• 2001

This paper presents a technique to development load control and management system in order to limits a maximum load demand and saves electric energy consumption. The computer programming proper load forecasting algorithm associated with programmable logic control and digital power meter through inform of multidrop network RS 485 over the twisted pair, over all are contained in this system. The digital power meter can measure a load data such as V, I, pf, P, Q, kWh, kVarh, etc., to be collected in statistics data convey to data base system on microcomputer and then analyzed a moving linear regression of load to forecast load demand Eventually, the result by forecasting are used for compost of load management and shedding for demand monitoring, Cycling on/off load control, Timer control, and Direct control. In this case can effectively reduce the electric energy consumption cost for 10% ...

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.6
• /
• pp.1646-1655
• /
• 1999

This thesis presents a new VHDL intermediate format CDDG(Control Dominated Data Graph) and a minimal constrained scheduling algorithm for an optimal control dominated ASIC design. CDDG is a control flow graph which represents conditional branches and loops efficiently. Also it represents data dependency and such constraints as hardware resource and timing. In the proposed scheduling algorithm, the constraints using the inclusion and overlap relation among subgraphs. The effectiveness of the proposed algorithm has been proven by the experiment with the benchmark examples.

• Journal of Institute of Control, Robotics and Systems
• /
• v.16 no.3
• /
• pp.245-248
• /
• 2010

Almost all of control schemes proposed so far have been designed in the continuous-time domain theoretically. Actual systems, however, have been implemented in the discrete-time domain since Micro Control Unit(MCU) and/or microprocessors have been used for the controllers. Thus, the overall system turned to be a sampled-data system, and generally speaking, the ultimate error cannot converge to zero in the actual system even though the proposed control algorithm showed the asymptotic stability in the continuous-time domain. In this paper, therefore, the ultimate error bound of a sampled data system with a short sampling period has been investigated. The ultimate error is shown to be related in the sampling period.

• Proceedings of the KIEE Conference
• /
• 2001.11c
• /
• pp.376-379
• /
• 2001

In this paper, I design the control chip that controls inner test sequence of Logic Tester to test chip. Logic tester has the thirteen inner instructions to control test sequence in test. And these instructions are saved in memory with test pattern data. Control chip generates address and control signal such as read, write signal of memory. Before testing, necessary data such as start address, end address, etc. are written to inner register of control chip. When test started, control chip receives the instruction in start address and executes, and generates address and control signals to access tester' inner memory. So whole test sequence is controlled by making the address and control signal in tester's inner memory. Control chip designs instruction's execution blocks, respectively. So if inner instruction is added from now on, a revision is easy. The control chip will be made using FPGA of Xilinx Co. in future.

• Journal of Korean Institute of Industrial Engineers
• /
• v.40 no.1
• /
• pp.43-51
• /
• 2014

Statistical process control (SPC) is an important technique for monitoring and managing the manufacturing process. In spite of its easiness and effectiveness, some problematic sides of application exist such that the SPC techniques are hardly reflect the changes of the process conditions. Especially, update of control limits at the right time plays an important role in acquiring a reasonable performance of control charts. Therefore, we propose the control chart performance evaluation index (CPEI) based on count data model to monitor and manage the performance of control charts. The CPEI could indicate the degree of control chart performance and be helpful to detect the proper update cycle of control limits in real time. Experiments using real manufacturing data show that the proper update intervals are made by proposed method.

• 제어로봇시스템학회:학술대회논문집
• /
• 2003.10a
• /
• pp.142-145
• /
• 2003

Many control applications using Neural Network need a priori information about the objective system. But it is impossible to get exact information about the objective system in real world. To solve this problem, several control methods were proposed. Reinforcement learning control using neural network is one of them. Basically reinforcement learning control doesn't need a priori information of objective system. This method uses reinforcement signal from interaction of objective system and environment and observable states of objective system as input data. But many methods take too much time to apply to real-world. So we focus on faster learning to apply reinforcement learning control to real-world. Two data types are used for reinforcement learning. One is reinforcement signal data. It has only two fixed scalar values that are assigned for each success and fail state. The other is observable state data. There are infinitive states in real-world system. So the number of observable state data is also infinitive. This requires too much learning time for applying to real-world. So we try to reduce the number of observable states by classification of states with Self-Organizing Map. We also use neural dynamic programming for controller design. An inverted pendulum on the cart system is simulated. Failure signal is used for reinforcement signal. The failure signal occurs when the pendulum angle or cart position deviate from the defined control range. The control objective is to maintain the balanced pole and centered cart. And four states that is, position and velocity of cart, angle and angular velocity of pole are used for state signal. Learning controller is composed of serial connection of Self-Organizing Map and two Multi-layer Feed-Forward Neural Networks.

• Proceedings of the KIEE Conference
• /
• 1999.07b
• /
• pp.749-751
• /
• 1999

We acquired operating data in an existing steam turbine power plant using analog control system to investigate operation characteristics. We analyzed a load control logic to develop a digital turbine control system. The load control logic is constituted of load target, load reference, loading rate, load limit and admission mode transfer of valve. The result of this paper is utilized to implement a digital turbine control system.

• 한국데이터정보과학회:학술대회논문집
• /
• 2002.06a
• /
• pp.141-149
• /
• 2002

In this paper, we propose EWMA control charts using the life time data for the system with the constant failure rate, which were drawn from the fixed sampling interval without replacement (with replacement), and investigate the power of detection of EWMA by comparing ARL of EWMA control charts with one of Shewhart control charts.