• 제목/요약/키워드: Boost ability

검색결과 86건 처리시간 0.041초

우리나라 중소기업의 첨단기술개발에 관한 연구 (A Study on Up-to-date Technology Development in Small & Medium Industries of Korea.)

  • 신현재;서승록
    • 산업경영시스템학회지
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    • 제6권9호
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    • pp.45-59
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    • 1983
  • This study focuses on the growth and development of small and medium industries of Korea, orienting to the development of up-to-date technology from now on and bolstering their competitive ability in the rapidly changing international markets. For this purpose, the small and medium industries should 1) develop high-level manpower of up-to-date technology, 2) make constant efforts to categorize and divide the fields of technology with big business groups to boost their competitiveness, 3) raise automation rate by turning all facilities into mechatronics, 4) positively develop software know-how, 5) jointly conduct researches in cooperation with venture capital and Governmental research institute, 6) categorize an systematize the industries. On the Governmental level, there should be 1) wide-ranging support and assistance in technology, finance, and the facilities, 2) positive opening of consumer market, 3) assistance in technical cooperation with other nations, 4) and such indirect assistance as fostering the fields of related technology.

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저스위칭손실 및 저도통손을 갖는 양방향 ZVS PWM Sepic/Zeta 컨버터 (Bidirectional ZVS PWM Sepic/Zeta Converter with Low Conduction Loss and Low Switching Loss)

  • 팽성환;이병철;최성훈;김인동;노의철
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2005년도 전력전자학술대회 논문집
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    • pp.549-551
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    • 2005
  • Bidirectional DC/DC converters allows transfer of power between two dc sources, in either direction. Due to their ability to reverse the direction of flow of power, they are being increasingly used in many applications such as battery charger/dischargers, dc uninterruptible power supplies, electrical vehicle motor drives, aerospace power systems, telecom power supplies, etc. This paper proposes a new bidirectional Sepic/zeta converter. It has low swicthing loss and low conduction loss due to auxiliary communicated circuit and synchronous rectifier operation, respectively. Because of positive and buck/boost-like DC voltage transfer function(M=D/1-D), the proposed converter is very desirable for use in distributed power system . The proposed converter also has both transformerless version and transformer one.

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Neutral-point Potential Balancing Method for Switched-Inductor Z-Source Three-level Inverter

  • Wang, Xiaogang;Zhang, Jie
    • Journal of Electrical Engineering and Technology
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    • 제12권3호
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    • pp.1203-1210
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    • 2017
  • Switched-inductor (SL) Z-source three-level inverter is a novel high power topology. The SL based impedance network can boost the input dc voltage to a higher value than the single LC impedance network. However, as all the neutral-point-clamped (NPC) inverters, the SL Z-source three-level inverter has to balance the neutral-point (NP) potential too. The principle of the inverter is introduced and then the effects of NP potential unbalance are analyzed. A NP balancing method is proposed. Other than the methods for conventional NPC inverter without Z-source impedance network, the upper and lower shoot-through durations are corrected by the feedforward compensation factors. With the proposed method, the NP potential is balanced and the voltage boosting ability of the Z-source network is not affected obviously. Simulations are conducted to verify the proposed method.

내장형 스위치드 커패시터 Quasi-Z-소스 인버터 (Embedded switched-capacitor quasi-Z-source inverter topology)

  • 이재원;현지석;전태원;이홍희;김흥근
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2016년도 추계학술대회 논문집
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    • pp.220-221
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    • 2016
  • This paper proposes an active switched-capacitor embedded quasi-Z-source inverter (ASC-EqZSI) topology. In order to improve boost ability, One diode and one switch device are added in the qZSI impedance network, and a single dc source is shifted in series with the inductor in the impedance network. The performances of the proposed topology are verified with simulation and experimental results.

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Regulated Incremental Conductance (r-INC) MPPT Algorithm for Photovoltaic Systems

  • Wellawatta, Thusitha Randima;Choi, Sung-Jin
    • Journal of Power Electronics
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    • 제19권6호
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    • pp.1544-1553
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    • 2019
  • The efficiency of photovoltaic generation systems depends on the maximum power point tracking (MPPT) technique. Among the various schemes presented in the literature, the incremental conductance (INC) method is one of the most frequently used due to its superb tracking ability under changes in insolation and temperature. Generally, conventional INC algorithms implement a simple duty-cycle updating rule that is mainly found on the polarity of the peak-power evaluation function. However, this fails to maximize the performance in both steady-state and transient conditions. In order to overcome this limitation, a novel regulated INC (r-INC) method is proposed in this paper. Like the compensators in automatic control systems, this method applies a digital compensator to evaluate the INC function and improve the capability of power tracking. Precise modeling of a new MPPT system is also presented in the optimized design process. A 120W boost peak power tracker is utilized to obtain comparative test results and to confirm the superiority of the proposed method over existing techniques.

건설현장의 PSM(Process Safety Management) 제도 적용에 관한 연구 (A Study on the Application to PSM (Process Safety Management) Policy in the Construction)

  • 양광모;전현정
    • 대한안전경영과학회지
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    • 제5권4호
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    • pp.21-30
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    • 2003
  • In this paper, we select evaluation criteria by construction progress, classify into several categories, and regard potential danger which often occurs, as a evaluation criterion. Further step is to allow workers or collaborated companies to express their expert opinions or experiences and to encourage quality and process control and autonomous safety control by applying PSM method. The reason why PSM method should be quantitative and substantial progress is because it contributes Korean constructing companies to enhancing their safety control ability and to taking an equal stance just like developed countries,' thereby strengthening there competitive edges. Boost of safety control system by PSM method will make an enormous contribution to preventing construction accidents on the site by establishing and securing an autonomous safety control system.

Ameliorative effects of propolis upon reproductive toxicity in males

  • Saleem Ali Banihani
    • Clinical and Experimental Reproductive Medicine
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    • 제50권1호
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    • pp.12-18
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    • 2023
  • Propolis is a sticky natural product produced by honeybees. Research studies have discussed the effectiveness of propolis, directly or indirectly, for ameliorating reproductive toxicity in males; however, this research has not yet been reviewed. The current paper presents an integrative summary of all research studies in Scopus and PubMed that investigated the effects of propolis on semen quality, and hence on male fertility, in conditions of reproductive toxicity. The consensus indicates that propolis ameliorates reproductive toxicity and enhances semen quality in vivo in test animals. These effects may be attributable to the ability of propolis to reduce testicular oxidative damage, enhance testicular antioxidant defense mechanisms, increase nitric oxide production, reduce testicular apoptotic injury, and boost testosterone production. However, to generalize these effects in humans would require further research.

Prediction of Cognitive Ability Utilizing a Machine Learning approach based on Digital Therapeutics Log Data

  • Yeojin Kim;Jiseon Yang;Dohyoung Rim;Uran Oh
    • International journal of advanced smart convergence
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    • 제12권2호
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    • pp.17-24
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    • 2023
  • Given the surge in the elderly population, and increasing in dementia cases, there is a growing interest in digital therapies that facilitate steady remote treatment. However, in the cognitive assessment of digital therapies through clinical trials, the absence of log data as an essential evaluation factor is a significant issue. To address this, we propose a solution of utilizing weighted derived variables based on high-importance variables' accuracy in log data utilization as an indirect cognitive assessment factor for digital therapies. We have validated the effectiveness of this approach using machine learning techniques such as XGBoost, LGBM, and CatBoost. Thus, we suggest the use of log data as a rapid and indirect cognitive evaluation factor for digital therapy users.

Prediction of Dissolved Oxygen at Anyang-stream using XG-Boost and Artificial Neural Networks

  • Keun Young Lee;Bomchul Kim;Gwanghyun Jo
    • Journal of information and communication convergence engineering
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    • 제22권2호
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    • pp.133-138
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    • 2024
  • Dissolved oxygen (DO) is an important factor in ecosystems. However, the analysis of DO is frequently rather complicated because of the nonlinear phenomenon of the river system. Therefore, a convenient model-free algorithm for DO variable is required. In this study, a data-driven algorithm for predicting DO was developed by combining XGBoost and an artificial neural network (ANN), called ANN-XGB. To train the model, two years of ecosystem data were collected in Anyang, Seoul using the Troll 9500 model. One advantage of the proposed algorithm is its ability to capture abrupt changes in climate-related features that arise from sudden events. Moreover, our algorithm can provide a feature importance analysis owing to the use of XGBoost. The results obtained using the ANN-XGB algorithm were compared with those obtained using the ANN algorithm in the Results Section. The predictions made by ANN-XGB were mostly in closer agreement with the measured DO values in the river than those made by the ANN.

A Conceptual Framework for an Information Behavior Model Based on the Collaboration Perspective between User and System for Information Retrieval

  • Yangyuen, Wachira;Phetkaew, Thimaporn;Nuntapichai, Siwanath
    • Journal of Information Science Theory and Practice
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    • 제8권3호
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    • pp.30-46
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    • 2020
  • This research aimed (1) to study and analyze the ability of current information retrieval (IR) systems based on views of information behavior (IB), and (2) to propose a conceptual framework for an IB model based on the collaboration between the system and user, with the intent of developing an IR system that can apply intelligent techniques to enhance system efficiency. The methods in this study consisted of (1) document analysis which included studying the characteristics and efficiencies of the current IR systems and studying the IB models in the digital environment, and (2) implementation of the Delphi technique through an indepth interview method with experts. The research results were presented in three main parts. First, the IB model was categorized into eight stages, different from traditional IB, in the digital environment, which can correspond to all behaviors and be applied to with an IR system. Second, insufficient functions and log file storage hinder the system from effectively understanding and accommodating user behavior in the digital environment. Last, the proposed conceptual framework illustrated that there are stages that can add intelligent techniques to the IR system based on the collaboration perspective between the user and system to boost the users' cognitive ability and make the IR system more user-friendly. Importantly, the conceptual framework for the IB model based on the collaboration perspective between the user and system for IR assisted the ability of information systems to learn, recognize, and comprehend human IB according to individual characteristics, leading to enhancement of interaction between the system and users.