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Generation Dispatch Algorithm Applying a Simulation Based Optimization Method (시뮬레이션 기반 최적화 기법을 적용한 발전력 재분배 알고리즘)

  • Kang, Sang-Gyun;Song, Hwachang
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.1
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    • pp.40-45
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    • 2014
  • This paper suggests the optimal generation dispatch algorithm for ensuring voltage stability margin considering high wind energy injection. Generally, with wind generation being installed into the power system, we would have to consider several factors such as the voltage stability margin because wind turbine generators are mostly induction machines. If the proportion of wind generation increases in the power system increases this would affect the overall stability of the system including the voltage stability. This paper considers a specific system that is composed of two areas: area 1 and area 2. It is assumed that generation cost in area 1 is relatively higher than that in area 2. From an economic point of view generation in area 1 should be decreased, however, in the stability point of view the generation in area 2 should be decreased. Since the power system is a nonlinear system, it is very difficult to find the optimal solution and the genetic algorithm is adopted to solve the objective function that is composed of a cost function and a function concerned with voltage stability constraints. For the simulations, the New England system was selected. The algorithm is implemented and Python 2.5.

A Study on Activation in Win-Win Cooperation Quality Circle Innovation Activities (상생협력 분임조 혁신활동 활성화 방안에 관한 연구)

  • Ahn, Hyobeom
    • Industry Promotion Research
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    • v.3 no.1
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    • pp.43-48
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    • 2018
  • This study is focusing on activating and developing the right model of win-win partnership innovative activity for the purpose of win-win relationship among companies. These are the following studies that are conducted for that objective. First, This study systematically analyzes the best cases of the win-win partnership focusing on the proceedings of the companies participating in the field of win-win Partnership at the national quality-circle contest for the last three years(2014~2016). This study reveals the underlying problems of win-win partnership innovative activity and draws the conclusion in the way of improvement about the win-win partnership innovative activity. Second, This study suggests the efficient method of the function and improvement of a system for activating win-win partnership innovative activity by analyzing screening criterion and selecting excellent cases in the field of win-win Partnership at the national quality-circle contest in 2017. Third, This study suggests the method of strengthening the system of sharing result for invigorating and motivating the win-win partnership innovative activity. It is expected that this methodology for reinforcing the system of Win-win Partnership among companies will help to create the environment where a sound and new corporate culture can be settled. And It is also expected that this study can contribute to attaining the goal of growing together through enhancing the competitiveness, productivity and quality among Win-win Cooperation companies.

Three-dimensional Machine Vision System based on moire Interferometry for the Ball Shape Inspection of Micro BGA Packages (마이크로 BGA 패키지의 볼 형상 시각검사를 위한 모아레 간섭계 기반 3차원 머신 비젼 시스템)

  • Kim, Min-Young
    • Journal of the Microelectronics and Packaging Society
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    • v.19 no.1
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    • pp.81-87
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    • 2012
  • This paper focuses on three-dimensional measurement system of micro balls on micro Ball-Grid-Array(BGA) packages in-line. Most of visual inspection system still suffers from sophisticate reflection characteristics of micro balls. For accurate shape measurement of them, a specially designed visual sensor system is proposed under the sensing principle of phase shifting moire interferometry. The system consists of a pattern projection system with four projection subsystems and an imaging system. In the projection system, four subsystems have spatially different projection directions to make target objects experience the pattern illuminations with different incident directions. For the phase shifting, each grating pattern of subsystem is regularly moved by PZT actuator. To remove specular noise and shadow area of BGA balls efficiently, a compact multiple-pattern projection and imaging system is implemented and tested. Especially, a sensor fusion algorithm to integrate four information sets, acquired from multiple projections, into one is proposed with the basis of Bayesian sensor fusion theory. To see how the proposed system works, a series of experiments is performed and the results are analyzed in detail.

A Study on Person Re-Identification System using Enhanced RNN (확장된 RNN을 활용한 사람재인식 시스템에 관한 연구)

  • Choi, Seok-Gyu;Xu, Wenjie
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.2
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    • pp.15-23
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    • 2017
  • The person Re-identification is the most challenging part of computer vision due to the significant changes in human pose and background clutter with occlusions. The picture from non-overlapping cameras enhance the difficulty to distinguish some person from the other. To reach a better performance match, most methods use feature selection and distance metrics separately to get discriminative representations and proper distance to describe the similarity between person and kind of ignoring some significant features. This situation has encouraged us to consider a novel method to deal with this problem. In this paper, we proposed an enhanced recurrent neural network with three-tier hierarchical network for person re-identification. Specifically, the proposed recurrent neural network (RNN) model contain an iterative expectation maximum (EM) algorithm and three-tier Hierarchical network to jointly learn both the discriminative features and metrics distance. The iterative EM algorithm can fully use of the feature extraction ability of convolutional neural network (CNN) which is in series before the RNN. By unsupervised learning, the EM framework can change the labels of the patches and train larger datasets. Through the three-tier hierarchical network, the convolutional neural network, recurrent network and pooling layer can jointly be a feature extractor to better train the network. The experimental result shows that comparing with other researchers' approaches in this field, this method also can get a competitive accuracy. The influence of different component of this method will be analyzed and evaluated in the future research.

Feed System Modeling of Railroad using Fuel Cell Power Generation System (연료전지 발전시스템을 이용한 철도급전계통 모델링)

  • Yoon, Yongho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.4
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    • pp.195-200
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    • 2020
  • With the growing interest in fossil fuel depletion and environmental pollution, railroad cars operating in Korea are in progress as the conversion from diesel to electric vehicles expands. The photovoltaic system, which is applied as an example of the conversion of electric vehicles, is infinite and pollution-free, and can produce energy without generating hazards such as air pollution, noise, heat, and vibration, and maintain fuel transportation and power generation facilities. There is an advantage that is rarely needed. However, the amount of electricity produced depends on the amount of solar radiation by region, and the energy density is low due to the power generation of about 25㎡/ kWp, so a large installation area is required and the installation place has limited problems. In view of these problems, many studies have been applied to fuel cells in the railway field. In particular, the plan to link the fuel cell power generation system railroad power supply system must be linked to the power supply system that supplies power to the railroad, unlike solar and wind power. Therefore, it has a close relationship with railroad cars and the linkage method can vary greatly depending on the system topology. Therefore, in this paper, we study the validity through simulation modeling related to linkage analysis according to system topology.

The Abnormality of Posterior Default Mode Network in Medication-Naïve Attention-Deficit Hyperactivity Disorder Children : Resting State fMRI Study (약물 복용력이 없는 주의력결핍 과잉행동장애 아동에서의 뒤쪽 내정상태회로 이상 : 휴식상태 기능적 뇌자기공명영상 연구)

  • Choi, Jee-Wook;Go, Hyo-Jin;Woo, Young-Sup;Song, Seung-Hoon;Yang, Po-Song;Jeong, Bum-Seok
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.23 no.2
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    • pp.57-62
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    • 2012
  • Objectives : Characteristic symptoms, including hyperactivity and easy distractibility, in children with attention-deficit hyperactivity disorder (ADHD) suggest that their brain status, even at rest, might differ from that of healthy children. This study was conducted in order to determine whether resting state brain activity is compromised in medication-naive children with ADHD. Methods : Twenty medication-naive children with ADHD (mean age $10.3{\pm}2.5$) and 28 age- and gender-matched healthy volunteers (mean age $10.3{\pm}2.0$) underwent measurements for resting state brain activity using functional magnetic resonance imaging (fMRI). Among resting state related-independent components (RSICs) extracted from fMRI data using independent component analysis, a significant difference in RSICs was observed between groups, using a mixed Gaussian/gamma model. Results : Except for IQ, which was higher in the healthy control group, no demographic difference was observed between the two groups (p<.001). Significantly less activation of one RSIC, which includes the bilateral precuneus/posterior cingulate cortex, occipito-temporal junction, and anterior cingulate cortex, was observed in the ADHD group, compared with the control group (p<.05). Conclusion : An abnormal RSIC, posterior default mode network (DMN), was observed in the medication-naive ADHD group. Results of our study suggest that abnormality of posterior DMN is one of the main pathophysiologies of ADHD.

Building a GIS Database for Analyzing the Integrated Information on Aquatic Ecosystem Health and Its Application (수생태계 건강성 통합정보 분석을 위한 GIS DB 구축 및 활용에 관한 연구)

  • Jo, Myung-Hee;Lee, Su-Hyung;Choi, Hee-Lak;Jang, Sung-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.4
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    • pp.189-203
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    • 2013
  • The purpose of this study is to build a GIS database that can utilized to provide a multi-dimensional analysis of aquatic health ecosystem. Especially, it was to build a GIS database for comprehensive analysis using the aquatic ecosystem health. So we collected data on aquatic ecosystem health assessment, Korea Reach File(KRF), Stream Naturalness and Water Environmental Information System, and detailed analysis of the collected data was performed. In addition, the core objects were extracted from individual data and a related entity was derived by pulling out the items associated with thematic characteristics and classifying them. The establishment of GIS database makes it possible to support the decision making for the user to quickly understand the information of water environment. Therefore, the database will provide the information for the effective management on water environment.

Analysis of Land Use Change within Four Major River Areas Using High-Resolution Air-Photographs: The Case of the Nakdong River Basin (고해상도 항공사진을 이용한 4대강 하천구역 내 토지이용변화 분석 - 낙동강 유역을 사례로)

  • Park, Soo-Kuk;Kim, Jin;Lee, Kil-Jae;Jo, Myung-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.4
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    • pp.171-188
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    • 2013
  • Landuse changes and cadastral information error categories in the four major river areas were analyzed for the use of policy data as cadastral re-arrangement of national and public lands would be required, using high-resolution air-photographs and cadastral maps before and after the river development. The study sites were the river areas of 40km around four dams of the Nakdong river where their landuses were changed most. As the results, national and public lands reached 79.9% of land parcels and 93.3% of land areas of the study sites similar with those of the four river areas, 84.3% of land parcels and 85.5% of land areas. The landuse classification of the study sites before the four river development was consisted most of 'river'(71.6%) and 'rice field'(12.3%), but after the development the 'river' was reduced to 42.7% and 'park area'(19.6%) including sport fields and 'mixed lots'(20.8%) were increased. Also, 86.7% of land parcels before the development could be reduced after the development if administrative districts and land ownerships were not considered. Cadastral information error categories can be found as cadastral polygon missing, polygon overlap, location and boundary non-coincidence, small polygon generation, and non-coincidence between cadastral boundary and river boundary. Landuse change monitoring method using air-photographs will be useful to analyze landuse state through fast information aquisition and to manage properties of national and public lands such as river areas.

A Load Emulator for Low-power Embedded Systems and Its Application (저전력 내장형 시스템을 위한 부하의 전력 소모 에뮬레이션 시스템과 응용)

  • Kim, Kwan-Ho;Chang, Nae-Hyuck
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.42 no.6
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    • pp.37-48
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    • 2005
  • The efficiency of power supply circuits such as DC-DC converters and batteries varies on the trend of the power consumption because their efficiencies are not fixed. To analyze the efficiency of power supply circuits, we need the temporal behavior of the power consumption of the loads, which is dependent on the activity factors of the devices during the operation. Since it is not easy to model every detail of those factors, one of the most accurate power consumption analyses of power supply circuits is measurement of a real system, which is expensive and time consuming. In this paper, we introduce an active load emulator for embedded systems which is capable of power measurement, logging, replaying and synthesis. We adopt a pattern recognition technique for data compression in that long-term behaviors of power consumption consist of numbers of repetitions of short-term behaviors, and the number of short-term behaviors is generally limited to a small number. We also devise a heterogeneous structure of active load elements so that low-speed, high-current active load elements and high-speed, low-current active load elements may emulate large amount and fast changing power consumption of digital systems. For the performance evaluation of our load emulator, we demonstrate power measurement and emulation of a hard drive. As an application of our load emulator, it is used for the analysis of a DC-DC converter efficiency and for the verification of a low-power frequency scaling policy for a real-time task.

An Implementation of Temperature Independent Bias Scheme in Voltage Detector (온도에 무관한 전압검출기의 바이어스 구현)

  • Moon, Jong-Kyu;Kim, Duk-Gyoo
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.39 no.6
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    • pp.34-42
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    • 2002
  • In this paper, we propose a temperature independent the detective voltage source in voltage detector. The value of a detective voltage source is designed to become m times of silicon bandgap voltage at zero absolute temperature. By properly choosing the temperature coefficient of diode, the temperature coefficient of a concave voltage nonlinearities generated by the ${\Delta}V_{BE}$ section of diode between base and emitter of transistors with a different area can be summed with convex nonlinearities the $V_{BE}$ voltage to achieve the near zero temperature coefficient of the detective voltage source. We designed that the value of a detective voltage can be varied by ${\Delta}V_{BE}$, the $V_{BE}$multiplier circuit and resistor. In order to verify the performance of a proposed detective voltage source, we manufactured the voltage detector IC for 1.9V which is fabricated in $6{\mu}m$ Bipolar technology and measured the operating characteristics, the temperature coefficient of a detective voltage. To reduce the deviation of a detective voltage in the IC process step, we introduced a trimming technology, ion implantation and an isotropic etching. In manufactured IC, the detective voltage source could achieve the stable temperature coefficient of 29ppm/$^{\circ}C$ over the temperature range of -30$^{\circ}C$ to 70$^{\circ}C$. The current consumption of a voltage detector constituted by the proposed detective voltage source is $10{\mu}A$ from 1.9V-supply voltage at room temperature.