• Title/Summary/Keyword: combined systems

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Fuel cell based CHP technologies for residential sector (연료전지와 마이크로 열병합 발전기술)

  • Son, Young Mok
    • Journal of Energy Engineering
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    • v.25 no.4
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    • pp.251-258
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    • 2016
  • This article reports current status of micro fuel cell-combined heat and power (${\mu}FC$-CHP) systems which utilize both power and heat generated by fuel cells. There are several options for constructing CHP systems and among them, fuel cells are the most useful and their total energy efficiency combining heat and power can reach up to about 90%. Fuel cells are classified as five types based on the electrolyte, but the most suitable fuel cell types for the ${\mu}FC$-CHP system are proton exchange membrane fuel cells (PEMFCs) and solid oxide fuel cells (SOFCs). ${\mu}FC$-CHP systems have several advantages such as decrease of the transmission-distribution loss, reduced costs of electricity due to distributed power generation, and environmental-friendliness owing to zero emission. The main drawback of the ${\mu}FC$-CHP systems is the high initial investment, however, it keeps decreasing as the technology development reduces production costs. Currently, Japan is the most leading country of the ${\mu}FC$-CHP market, however, Korea tries to expand the market by planning the deployment of 1 million units of ${\mu}FC$-CHP systems and governmental subsidiary supporting of half of the install price. In this report, integration technologies for connecting FC and CHP, and technology trends of leading countries are presented as well.

Evaluation method for interoperability of weapon systems applying natural language processing techniques (자연어처리 기법을 적용한 무기체계의 상호운용성 평가방법)

  • Yong-Gyun Kim;Dong-Hyen Lee
    • Journal of The Korean Institute of Defense Technology
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    • v.5 no.3
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    • pp.8-17
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    • 2023
  • The current weapon system is operated as a complex weapon system with various standards and protocols applied, so there is a risk of failure in smooth information exchange during combined and joint operations on the battlefield. The interoperability of weapon systems to carry out precise strikes on key targets through rapid situational judgment between weapon systems is a key element in the conduct of war. Since the Korean military went into service, there has been a need to change the configuration and improve performance of a large number of software and hardware, but there is no verification system for the impact on interoperability, and there are no related test tools and facilities. In addition, during combined and joint training, errors frequently occur during use after arbitrarily changing the detailed operation method and software of the weapon/power support system. Therefore, periodic verification of interoperability between weapon systems is necessary. To solve this problem, rather than having people schedule an evaluation period and conduct the evaluation once, AI should continuously evaluate the interoperability between weapons and power support systems 24 hours a day to advance warfighting capabilities. To solve these problems, To this end, preliminary research was conducted to improve defense interoperability capabilities by applying natural language processing techniques (①Word2Vec model, ②FastText model, ③Swivel model) (using published algorithms and source code). Based on the results of this experiment, we would like to present a methodology (automated evaluation of interoperability requirements evaluation / level measurement through natural language processing model) to implement an automated defense interoperability evaluation tool without relying on humans.

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Interference Management by Vertical Beam Control Combined with Coordinated Pilot Assignment and Power Allocation in 3D Massive MIMO Systems

  • Zhang, Guomei;Wang, Bing;Li, Guobing;Xiang, Fei;lv, Gangming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.8
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    • pp.2797-2820
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    • 2015
  • In order to accommodate huge number of antennas in a limited antenna size, a large scale antenna array is expected to have a three dimensional (3D) array structure. By using the Active Antenna Systems (AAS), the weights of the antenna elements arranged vertically could be configured adaptively. Then, a degree of freedom (DOF) in the vertical plane is provided for system design. So the three-dimension MIMO (3D MIMO) could be realized to solve the actual implementation problem of the massive MIMO. However, in 3D massive MIMO systems, the pilot contamination problem studied in 2D massive MIMO systems and the inter-cell interference as well as inter-vertical sector interference in 3D MIMO systems with vertical sectorization exist simultaneously, when the number of antenna is not large enough. This paper investigates the interference management towards the above challenges in 3D massive MIMO systems. Here, vertical sectorization based on vertical beamforming is included in the concerned systems. Firstly, a cooperative joint vertical beams adjustment and pilot assignment scheme is developed to improve the channel estimation precision of the uplink with pilots being reused across the vertical sectors. Secondly, a downlink interference coordination scheme by jointly controlling weight vectors and power of vertical beams is proposed, where the estimated channel state information is used in the optimization modelling, and the performance loss induced by pilot contamination could be compensated in some degree. Simulation results show that the proposed joint optimization algorithm with controllable vertical beams' weight vectors outperforms the method combining downtilts adjustment and power allocation.

An Algorithm for Generating an Optimal Laser-Torch Path to Cut Multiple Parts with Their Own Set of Sub-Parts Inside (2차부재가 포함된 다수의 1차부재를 가공하기 위한 레이저 토치의 절단경로 최적화 알고리즘)

  • Kwon Ki-Bum;Lee Moon-Kyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.9
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    • pp.802-809
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    • 2005
  • A hybrid genetic algorithm is proposed for the problem of generating laser torch paths to cut a stock plate nested with free-formed parts each having a set of sub-parts. In the problem, the total unproductive travel distance of the torch is minimized. The problem is shown to be formulated as a special case of the standard travelling salesman problem. The hybrid genetic algorithm for solving the problem is hierarchically structured: First, it uses a genetic algorithm to find the cutting path f3r the parts and then, based on the obtained cutting path, sequence of sub-parts and their piercing locations are optimally determined by using a combined genetic and heuristic algorithms. This process is repeated until any progress in the total unproductive travel distance is not achieved. Computational results are provided to illustrate the validity of the proposed algorithm.

Efficient Implementation Method Of Depth Image Segmentation In SoC System (SoC 시스템에서의 깊이 영상 분할을 위한 효율적인 설계 구성 방법)

  • Sung, Jimok;Kim, Bongsung;Kang, Bongsoon
    • Journal of Korea Multimedia Society
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    • v.19 no.2
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    • pp.122-127
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    • 2016
  • This paper propose implementation method of SoC system for efficient depth image segmentation. SoC systems are combined platform in the form of the Software and Hardware IP. In order to perform effectively, the user to determine the operation of the configuration of each part. In this paper, we implemented a segmentation of depth images taken by the infrared sensor at APU of SoC system. The proposed method efficiently implements high performance and low power in SoC system. Proposed method that using software parts of SoC system is capable to use at several depth image processing systems.

Understanding Continuous Use of Virtual Communities : A Comparison of Technical and Social Perspectives (온라인 커뮤니티의 지속적 사용에 대한 이해 : 기술적 관점과 사회적 관점의 비교)

  • Ham, Juyeon;Lee, Jae-Nam;Lee, Jung
    • Journal of Information Technology Services
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    • v.12 no.4
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    • pp.399-422
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    • 2013
  • The aim of this study is to find the model that best explains members' continued use intention in virtual communities by comparing technical and social perspectives applied in IS context. With the eight major variables identified from prior studies, four alternative models were formulated:1) A base model from Information Systems (IS) continuance perspective, 2) IS continuance model with technology-acceptance perspective, 3) IS continuance model with social-capital perspective, and 4) IS continuance model with socio-technical combined perspective. The adequacies of these four models with different perspective highlighted were tested using survey data collected from virtual community users in Korea. The findings indicated that the IS continuance model and social-capital perspective is the most efficient model that best explains the members' continued use intention in virtual communities.

Implementation and tuning of adaptive generalized predictive PID for process control (공정 제어를 위한 적응 GP-PID의 구현과 동조)

  • Lee, Chang-Gu;Seol, O-Nam;Kim, Seong-Jung
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.2
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    • pp.197-203
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    • 1997
  • In this paper, we present a GP-PID(Generalized Predictive PID) controller which has the same structure as a generalized predictive control with steady-state weighting. The proposed controller can perform better than the conventional PID controller because it includes intrinsic delay-time compensator. The PID tuning parameters and delay-time compensator are calculated by equating the two degree of freedom PID to a linear form of GPC. The proposed controller is combined with a supervisor for safe start and self-tuning. GP-PID controller has been tested for various numerical models and an experimental stirred tank heater. As a result, it was observed that the proposed controller shows a satisfactory performance for variable delay as well as stochastic disturbance.

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A Study on the Detection Algorithm of an Advanced Ultrasonic Signal for Hydro-acoustic Releaser

  • Kim, Young-Jin;Huh, Kyung-Moo;Cho, Young-June
    • International Journal of Control, Automation, and Systems
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    • v.6 no.5
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    • pp.767-775
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    • 2008
  • Methods used for exploring marine resources and spaces include positioning a probe under water and then recalling it after a specified time. Hydro-acoustic Releasers are commonly used for positioning and retrieving of such exploration equipment. The most important factor in this kind of system is the reliability for recalling the instruments. The frequently used ultrasonic signal detection method can detect ultrasonic signals using a fixed comparator, but because of increased rates of errors due to outside interferences, information is repetitively acquired. This study presents an effective ultrasonic signal detection algorithm using the characteristics of a resonance and adaptive comparator Combined with the FSK+ASK modulator. As a result, approximately 8.8% of ultrasonic wave communication errors caused by background noise and transmission losses were reduced for effectively detecting ultrasonic waves. Furthermore, the resonance circuit's quality factor was enhanced (Q = 120 to 160). As such, the bias voltage of the transistor (Vb= 3.3 to 6.8V) was increased thereby enhancing the frequency's selectivity.

연결강도분석을 이용한 통합된 부도예측용 신경망모형

  • Lee Woongkyu;Lim Young Ha
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2002.11a
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    • pp.289-312
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    • 2002
  • This study suggests the Link weight analysis approach to choose input variables and an integrated model to make more accurate bankruptcy prediction model. the Link weight analysis approach is a method to choose input variables to analyze each input node's link weight which is the absolute value of link weight between an input nodes and a hidden layer. There are the weak-linked neurons elimination method, the strong-linked neurons selection method in the link weight analysis approach. The Integrated Model is a combined type adapting Bagging method that uses the average value of the four models, the optimal weak-linked-neurons elimination method, optimal strong-linked neurons selection method, decision-making tree model, and MDA. As a result, the methods suggested in this study - the optimal strong-linked neurons selection method, the optimal weak-linked neurons elimination method, and the integrated model - show much higher accuracy than MDA and decision making tree model. Especially the integrated model shows much higher accuracy than MDA and decision making tree model and shows slightly higher accuracy than the optimal weak-linked neurons elimination method and the optimal strong-linked neurons selection method.

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국내 자동화 컨테이너터미널 개발 방향에 관한 연구

  • Choi Hyeong Rim;Park Nam Gyu;Park Byeong Ju;Yu Dong Ho;Kwon Hae Gyeong
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2004.05a
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    • pp.122-137
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    • 2004
  • Automation of a container terminal is a world-wide tendency nowadays. The interest of ACT (Automated Container Terminal) is increasing more and more because of necessity of container terminal with higher competitive power and ultramodern equipment to down the cost and up the efficiency. ECT (Europe Combined Terminals) and CTA (Container Terminal Altenwerder) have studied a detailed technique for the operation of ACT. In Korea, many projects related to the development of ACT are working at present. However, indiscreet introduction of ACT may cause tremendous loss. Thus it is much important thing that we search relevant automation level or type for an environment In this study, we propose the necessary strategy in developing ACT through analyzing the present condition, automated equipments and property of operation at advanced An. If the strategy is applied in development of domestic ACT, we'll be able to build ACT with higher competitive power.

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