• Title/Summary/Keyword: 운영율

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Long Distance Transmission System of Tag's ID in RFID System (전자인식 시스템에서 택 ID의 원거리 전송 시스템)

  • Kim, Dong-Hun;Jo, Hyeong-Guk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.63-67
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    • 2009
  • In RFID system, Tag's Identification data is processed in host computer by application program. Example of application program is parking administration program, library state program etc.. Tag's ID that is recognized in reader is inputted to the Host computer. Application program of computer searches data in DB of computer such as Tag ID. After finding the same ID, host computer send to control command to driver H/W in accordance with application purpose. But, It need to confirm in long distance whether achievement process is acted normally. There will be the 2 methods, when we monitors the process in long distance. One is wired monitoring system, another is wireless monitoring system. Among wire method, internet communication network is useful. RFID system manufacture first in this treatise. RFID system Embody using EM4095 chip that is doing 125KHz by carrier wave. Tag's characteristic ID is sent in remote place through module that use W3100A chip. This system Manufacture, and data send-receive confirmed using simple application program. Reception confirm by result, and pictures show by whole system and each part. And a control program explained of each part.

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A Study on the Prediction of Power Demand for Electric Vehicles Using Exponential Smoothing Techniques (Exponential Smoothing기법을 이용한 전기자동차 전력 수요량 예측에 관한 연구)

  • Lee, Byung-Hyun;Jung, Se-Jin;Kim, Byung-Sik
    • Journal of Korean Society of Disaster and Security
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    • v.14 no.2
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    • pp.35-42
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    • 2021
  • In order to produce electric vehicle demand forecasting information, which is an important element of the plan to expand charging facilities for electric vehicles, a model for predicting electric vehicle demand was proposed using Exponential Smoothing. In order to establish input data for the model, the monthly power demand of cities and counties was applied as independent variables, monthly electric vehicle charging stations, monthly electric vehicle charging stations, and monthly electric vehicle registration data. To verify the accuracy of the electric vehicle power demand prediction model, we compare the results of the statistical methods Exponential Smoothing (ETS) and ARIMA models with error rates of 12% and 21%, confirming that the ETS presented in this paper is 9% more accurate as electric vehicle power demand prediction models. It is expected that it will be used in terms of operation and management from planning to install charging stations for electric vehicles using this model in the future.

Process Modeling and Economic Analysis of Hydrogen Production System on 500 kg-H2/d-class Green Hydrogen Station using Biogas (바이오가스 이용 500 kg-H2/d급 그린수소충전소의 수소추출시스템 공정모델링 및 경제성 분석)

  • Hong, Gi Hoon;Song, Hyoungwoon
    • Journal of the Korean Institute of Gas
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    • v.25 no.4
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    • pp.19-26
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    • 2021
  • In this paper, we carried out the process modelling and economical analysis of the 500 kg-H2/d-class green hydrogen production system process based on biomethane from the Food Bio Energy Center in Chungju. As a result of economic analysis, the NPV(Net present value) after 15 years of operation is 3.831 billion won, the PI(Profitability index method) is 1.42. It was found that the project of 500 kg-H2/d-class green hydrogen production system has a 20.25% of IRR, which is higher than social discount rate of 4.5% and feasibility is ensured.

A Deep Learning Approach with Stacking Architecture to Identify Botnet Traffic

  • Kang, Koohong
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.123-132
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    • 2021
  • Malicious activities of Botnets are responsible for huge financial losses to Internet Service Providers, companies, governments and even home users. In this paper, we try to confirm the possibility of detecting botnet traffic by applying the deep learning model Convolutional Neural Network (CNN) using the CTU-13 botnet traffic dataset. In particular, we classify three classes, such as the C&C traffic between bots and C&C servers to detect C&C servers, traffic generated by bots other than C&C communication to detect bots, and normal traffic. Performance metrics were presented by accuracy, precision, recall, and F1 score on classifying both known and unknown botnet traffic. Moreover, we propose a stackable botnet detection system that can load modules for each botnet type considering scalability and operability on the real field.

A study on the construction of a financial feasibility evaluation model for private investment projects in the port sector using system dynamics (시스템다이내믹스를 활용한 항만분야 민간투자사업 재무적타당성 평가 모형 구축 연구)

  • Cheon, Minsoo;Jeon, Junwoo
    • Journal of Korea Port Economic Association
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    • v.37 no.2
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    • pp.1-17
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    • 2021
  • Private investment projects have the characteristic of generating profits for a long period of 30 to 40 years, and fluctuations in profits and costs occur over time, so the interaction of variables over time rather than statistical models or discounted cash flows If the system dynamics technique, which enables simulation of the system, is used, it is considered that meaningful simulation results can be derived for internal and external variables. In other words, by establishing a financial feasibility comparison/verification model based on system dynamics for private investment projects in the port sector that have not been attempted before, we compare the differences with the existing cash flow discount method, macroeconomic factors, operating period, social discount rate We will conduct a differentiated study that has not been tried before by simulating how the interrelationships of such variables affect the change in financial performance.

Electronic Voting Systems Using the Blockchain (블록체인을 활용한 전자투표 시스템 구축)

  • Lee, Roo-daa;Lim, Joa-sang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.103-110
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    • 2019
  • Electronic voting has been followed by a lot of research as it provides convenience to voters and increases participation rates. Nevertheless, electronic voting has not been widespread yet. The existing electronic voting system does not guarantee credibility, and there arises a question on the security that the voting could be forged or altered by the attack to the central server. In this paper, we proposed blockchain based systems to solve the problems in electronic voting. Although the blockchain may guarantee the security of transaction data, there have been only a few electronic voting systems implemented using the blockchain. We developed blockchain enabled voting and brought out some of its related legal, technical and operational challenges to enforce more security in voting. Unlike centralized voting, the systems could enforce security and solve the problems such as forgery or alteration of transaction data caused by hacking or any attempts to gain control of the central server system.

Development of Lora Wireless Network Based Water Supply Control System for Bare Ground Agriculture (자가 충전 및 장거리 무선 네트워크를 지원하는 노지 농작물 관수 자동화 시스템 설계)

  • Joo, Jong-Yui;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.6
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    • pp.1373-1378
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    • 2018
  • In order to solve the problems such as reduction of agriculture population, aging and declining of grain self sufficiency rate, agriculture ICT convergence technology utilizing IoT technology is actively being developed. Agricultural ICT technology only concentrates on facility houses, and there is no automated control system in the field of cultivation. In this paper, we propose an irrigation control system that automatically controls the solenoid valves and water pumps in a large area with Lora wireless communication. The proposed system does not require a separate power source by using a small solar panel, and it is very convenient to install and operate supporting wireless auto setup by plug-and-play method. Therefore, it is expected that it will contribute to the reduction of labor force, quality of agricultural products, and productivity improvement.

Development on the Methodology of CDM Projects in the SF6 Recovery and Recycling of Electrical Equipment (전력설비에서의 SF6 회수 및 재활용 CDM 방법론 개발)

  • Pyo, Jeong-Gwan;Sa, Jae-Hwan;Jeon, Eui-Chan
    • Journal of Climate Change Research
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    • v.2 no.3
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    • pp.143-159
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    • 2011
  • Projects applying the CDM methodology AM0035 of the $SF_6$ Emission Reductions in Electrical Grids should provide direct monitoring of all the key parameters that are related to estimation of baseline and project emissions including detailed explanations of key operating conditions and procedures, and an explanation addressing uncertainty as the result of EB meeting 41. Through this study, recovery ratio during maintenance, purity of $SF_6$ before and after disposal, replacing, loss rate of $SF_6$ before and after reclamation, leakage emission from electricity consumption and fossil fuel combustion, considered conservatively the key parameter of various monitoring. Consequently, confirmed the reduction in the amount of reduction due to the baseline emission decrease, project emission increase.

Bus Stop Design Guide by Identifying the Relationship between Bus Stopping Behaviors and Bus Stop Conditions (시내버스 정류소 정차 특성 분석을 통한 정류소 환경 정비 방안)

  • Kang, Inku;Shin, Kangwon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.1
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    • pp.55-61
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    • 2019
  • To improve bus service quality and passengers' safety at bus stops, it is necessary to analyze the relationship between bus stopping behaviors and bus stop conditions. Thus, this study investigated the proper stopping rate at 31 bus stops on Central Boulevard in Busan metropolitan city and analyzed the relationship between the proper stopping rate and bus stop operating conditions such as the length of berth, the distance from the front line of berth to bus shelter and so on. The analysis results show that the proper stopping rate is 45.82 % and the rates are closely related to each bus stop operating condition. Therefore, it is highly recommended that the front line of berth should be located parallel to bus shelter for improving the safety of bus passengers. In addition, it is suggested that the length of berth should be longer than 15m and the pavement marking of berth be redesigned with dash lines to take account of buses' entering and leaving the berth.

A Comparative Study on the Performance of Retailers in Korea: Focus on the Growth of Non-­store e-­commerce Business (우리나라 소매업태 간의 경영성과에 관한 비교 연구 - 무점포통신판매업의 성장을 중심으로 -)

  • Koo, Kyoungmo
    • Journal of Korea Port Economic Association
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    • v.35 no.1
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    • pp.39-56
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    • 2019
  • This study addresses the management performance of the retail industry in Korea. The Non-store e-commerce business, consisting of TV home shopping and online shopping, grew very fast during the 2000s. For roughly six years in the 2010s, the diversification of online shopping business models, intensifying competition, and the proliferation of competition accelerated the entry of offline shopping retailers. During the analysis period from 2001 to 2016, the performance of the Non-­store e-commerce business was statistically better than that of the offline shopping retail business, department stores, general retailers, and small­-sized retailers. As expected, a significant difference between performance and some of the indicators of growth and activity could be seen because of the capital and operating structure of the retail industry. In particular, the Non-store e-commerce businesses have diverse sales media and heterogeneous business models. In this study, we have presented the significance of the differences in the indicators of operating profit and inventory turnover, as well as the discussion required for managing in the future.