• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2013년도 제47차 동계학술대회논문집 21권1호
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• pp.107-110
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• 2013

본 논문에서는 좁은 수로에서의 3단계의 기울기와 2단계의 유량에서 수차의 흘수와 효율에 관한 실험을 수행하였다. 컴퓨터에 의하여 제어되는 자동화된 축소 실험 환경을 구성하고, 3단계의 기울기와 2단계의 유량 각각에 대하여 10단계의 흘수별 회전효율 데이터를 취득하고, 취득한 데이터를 이용하여 회전 효율을 분석하고, 전에 실험한 다른 논문의 결과와 비교하여 잘못된 결과들을 찾아내고, 유사하게 현상들의 동일함을 확인하며, 수작업 실험에서 밝혀내지 못한 현상들을 추가하여, 컴퓨터의 이용효과를 확인하였다.

• 에너지공학
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• 제8권4호
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• pp.546-552
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• 1999

In order to obtain the highly effective thermal energy from jacket cooling water of propulsion diesel engines. a development of the Fresh Water Generator (FWG) with a capacity of 30 ton/day was implemented. Newly developed experimental devices and data acquisition system were used to evaluate the performance of the FWG. In this study experiments were performed for various driving pressures by varying the mass flowrate of cooling seawater with or without a heat source instead of jacket cooling water.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2010년도 춘계학술대회 초록집
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• pp.200.1-200.1
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• 2010

Solar energy is one of the most promising energy resources in the future. For the application and dissemination of solar energy technologies in various fields, reliable data sets of solar irradiation are needed for engineers, researchers, businessmen, and policy makers. Global horizontal solar radiation is needed for the use of flat plate collector, solar domestic hot water system, photovoltaic devices and passive systems like green house. In many countries, solar radiation data accumulated for more then 40 or 50 years and typical weather data are published with average of more then 30 years. In Korea, those global total radiations are measured for about 30 years. With the connections of computer network, measured data could be transmitted to the central control system at key station through Ethernet lines. The data acquisition systems are connected to be automatically controlled by the monitoring network. Global horizontal solar radiation data 16 locations were measured and averaged from 1982 to 2008.

• ETRI Journal
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• 제46권3호
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• pp.513-525
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• 2024

Deep neural networks trained on labeled medical data face major challenges owing to the economic costs of data acquisition through expensive medical imaging devices, expert labor for data annotation, and large datasets to achieve optimal model performance. The heterogeneity of diseases, such as Alzheimer's disease, further complicates deep learning because the test cases may substantially differ from the training data, possibly increasing the rate of false positives. We propose a reconstruction-based self-supervised anomaly detection model to overcome these challenges. It has a dual-subnetwork encoder that enhances feature encoding augmented by skip connections to the decoder for improving the gradient flow. The novel encoder captures local and global features to improve image reconstruction. In addition, we introduce an entropy-based image conversion method. Extensive evaluations show that the proposed model outperforms benchmark models in anomaly detection and classification using an encoder. The supervised and unsupervised models show improved performances when trained with data preprocessed using the proposed image conversion method.

• 대한전기학회논문지:전력기술부문A
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• 제53권2호
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• pp.87-96
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• 2004

This paper summarizes the research results of the load management for pole transformers done in 1997-1998 and 2000-2002. The purpose of the research is to enhance the accuracy of peak load estimation in pole transformers. We concentrated our effort on the acquisition of massive actual load data for modifying the load regression coefficients, which related to the peak load estimation of lamp-use customers, and adjusting the demand-factor coefficients, which used for the peak load prediction of motor-use customers. To enhance the load regression equations, the 264 load data acquisition devices are equipped to the sample pole transformers. For the modification of demand factor coefficients, the peak load currents are measured in each customer and pole transformer for 13 KEPCO (Korea Electric Power Corporation) distribution branch offices. Case studies for 50 sample pole transformers show that the proposed coefficients could reduce estimating error of the peak load for pole transformers, compared with the conventional one.

• 한국군사과학기술학회지
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• 제24권1호
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• pp.31-40
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• 2021

The multi-channel video streaming system is an essential device for future ground combat vehicles. For the system, the application of digital interfaces is required instead of the direct analog method to support selectable multiple channels. However, due to the characteristics of the digital interfaces that require en/decoding and signal conversion, the system should support the ability to adapt to quality and delay requirements depending on how video data is utilized. To support addressed issue, this study designs and emulates the multi-channel compressed-video streaming system of ground combat vehicle's fire control system based on commercial standards. Using the system, this study analyzes the quality of video according to the rotational speed of the acquisition device and Glass-to-Glass (G2G) delay between video acquisition and display devices according to video compression rates. Through these experiments and analysis, this paper presents the design direction of the system having scalability on the latest technology while providing high-quality video data streaming flexibly.

• 아태비즈니스연구
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• 제14권3호
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• pp.149-166
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• 2023

Purpose - This study aimed to examine the influence of various factors on customer satisfaction and the continuance usage intention, based on the purchasing type of smart speaker users. Design/methodology/approach - Data was gathered through surveys, collecting responses from 180 smart speaker users in Korea. Structural equation modeling was utilized to analyze the data. Findings - Both perceived usefulness and perceived security were observed to have a significant positive impact on customer satisfaction across all user groups. Moreover, perceived ease of use and perceived versatility showed a significant positive effect on the continuance usage intention. Notably, for those who acquired the smart speakers for free, perceived usefulness had a positive impact on the continuance usage intention. Conversely, for those who made a paid purchase, perceived versatility played a significant role in driving customer satisfaction. Research implications or Originality - This research offers insights into the Korean smart speaker market, a unique environment where local competitors thrive in the absence of giants like Amazon and Google. It provides a nuanced view of customer reactions to these innovative devices. The study further distinguishes between high-involvement (paid purchase users) and low-involvement (free acquisition users) consumers, offering a more detailed understanding of user perspectives based on their acquisition mode.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제5권12호
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• pp.491-498
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• 2016

최근 Windows PE와 같은 포터블 OS를 USB, CD/DVD 등의 이동식 저장매체에 저장하여 부팅하는 기법으로 기밀자료 및 내부정보가 유출되는 사례가 증가하고 있다. 이동식 저장매체를 이용한 이 부팅 기법은 타깃 PC에 설치된 USB 보안, 매체제어솔루션 등의 보안 소프트웨어의 우회가 가능하고, 부팅 후 PC의 저장매체를 마운트하여 정보 추출 및 악성코드 삽입 등의 행위가 가능하며, 이동식 저장매체의 사용흔적과 같은 로그기록이 남지 않는 특징이 있어 자료유출여부 확인과 역추적이 어렵다. 이에 본 논문에서는 플래시 메모리에서 BIOS 설정과 관련된 데이터가 기록되는 BIOS 펌웨어 이미지를 수집 및 분석하여 이상행위로 추정할 수 있는 이동식 저장매체를 이용한 부팅 흔적을 찾아 기업의 감사 또는 디지털 포렌식 수사를 수행하는데 도움이 될 수 있는 방안을 제시한다.

• 전기학회논문지
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• 제58권11호
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• pp.2101-2106
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• 2009

The power system state estimation and prediction are very important for operation. Because that accidents of the Power system are the cause that many devices and etc are damaged. Currently, almost every power systems have 2nd,3rd back-upsystem for prevention of accident. But prevention of accident by miss-operation, due to operator or miss data, has not acounter plan. Because, we need to estimate the power system for correcting miss data and preventing miss operation by operator. We suggest algorithm for integrity of power system network data.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.103-108
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• 2021

The emergence of new technologies and their implementation by different manufacturers of electronic devices are experiencing an ascending trend. Most of the time, these protocols are expected to reach a certain degree of maturity, and electronic equipment manufacturers use simplified communication standards and interfaces that have already reached maturity in terms of their development such as ModBUS, KNX or CAN. This paper proposes an IoT solution of the Smart Home type based on an Analysis and Prediction System. A data acquisition component was implemented and there was defined an algorithm for the analysis and prediction of actions based on the values collected from the data update component and the data logger records.