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A Study On BI Module Implementation Based Hybrid App For Smart Mobile Office (중소기업 SMO를 위한 하이브리드 앱 기반의 BI 모듈 구축 및 활용방안)

  • Kim, Yeong-Real;Park, Geon-Wan
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.5
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    • pp.103-115
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    • 2014
  • Mobile-Office is the IT office that enables people handle their business anywhere and anytime without going to head office. It has propagated rapidly in domestic and foreign companies as the users who use mobile terminal such as smartphone have increased sharply. Mobile-Office is emerging as a new way of conducting business. It requires business environment to be changed to improve business efficiency, as fast-growing mobile-based economies emerges. Small and medium-sized companies's utilization ability for advanced IT technology is insufficient, and limitations exist on capacity of building and investment. They need different development methodologies and utilization methods. The purpose of this study is not only to consider the previous business environment problem on accessibility, mobility, effectiveness, complexity and consolidation, but to search more efficient methods for introducing applications to utilize various smart devices and websites with minimum investment in R&D.

ASCII data hiding method based on blind video watermarking using minimum modification of motion vectors (움직임벡터의 변경 최소화 기법을 이용한 블라인드 비디오 워터마킹 기반의 문자 정보 은닉 기법)

  • Kang, Kyung-Won;Ryu, Tae-Kyung;Jeong, Tae-Il;Park, Tae-Hee;Kim, Jong-Nam;Moon, Kwang-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.1C
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    • pp.78-85
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    • 2007
  • With the advancement of the digital broadcasting and popularity of the Internet, recently, many studies are making on the digital watermarking for the copyright protection of digital data. This paper proposes the minimum modification method of motion vector to minimize the degradation of video quality, hiding subtitles of many language and information of OST(original sound track), character profiles, etc. as well as the copyright protection. Our proposed algorithm extracts feature vector by comparing motion vector data with watermark data, and minimize the modification of motion vectors by deciding the inversion of bit. Thus the degradation of video quality is minimized comparing to conventional algorithms. This algorithm also can check data integrity, and retrieve embedded hidden data simply and blindly. And our proposed scheme can be useful for conventional MPEG-1, -2 standards without any increment of bit rate in the compressed video domain. The experimental result shows that the proposed scheme obtains better video quality than other previous algorithms by about $0.5{\sim}1.5dB$.

Prediction of Water Usage in Pig Farm based on Machine Learning (기계학습을 이용한 돈사 급수량 예측방안 개발)

  • Lee, Woongsup;Ryu, Jongyeol;Ban, Tae-Won;Kim, Seong Hwan;Choi, Heechul
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.8
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    • pp.1560-1566
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    • 2017
  • Recently, accumulation of data on pig farm is enabled through the wide spread of smart pig farm equipped with Internet-of-Things based sensors, and various machine learning algorithms are applied on the data in order to improve the productivity of pig farm. Herein, multiple machine learning schemes are used to predict the water usage in pig farm which is known to be one of the most important element in pig farm management. Especially, regression algorithms, which are linear regression, regression tree and AdaBoost regression, and classification algorithms which are logistic classification, decision tree and support vector machine, are applied to derive a prediction scheme which forecast the water usage based on the temperature and humidity of pig farm. Through performance evaluation, we find that the water usage can be predicted with high accuracy. The proposed scheme can be used to detect the malfunction of water system which prevents the death of pigs and reduces the loss of pig farm.

A Study on Decision Plan of Hosting Capacity for Distribution Feeder (배전선로 연계용량 선정방안에 관한 연구)

  • Kim, Seong-Man;Oh, Joon-Seok;Kim, Ok-Hee;Lim, Hyeon-Ok;Moon, Chae-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.4
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    • pp.653-660
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    • 2021
  • Renewable energy resources are rapidly becoming an integral part of electricity generation portfolios around the world due to declining costs, government subsidies, and corporate sustainability goal. Interacting wind, solar, and load forecast errors can create significant unpredictable impacts on the distribution system, feeder congestion, voltage standard and reactive power stability margins. These impacts will be increasing with the increasing penetration levels of variable renewable generation in the power systems. There is a limit to the maximum amount of renewable energy sources that can be connected in a distribution feeder by the connection rule of transmission & distribution facility in Korea. This study represents the decision plans of hosting capacity for distribution feeders without the need for significant upgrades to the existing transmission infrastructure. Especially, the paper suggests and discusses the hosting capacity standard of feeder cables and minimum load calculation of distribution feeders.

Implementation of Disease Search System Based on Public Data using Open Source (오픈 소스를 활용한 공공 데이터 기반의 질병 검색 시스템 구현)

  • Park, Sun-ho;Kim, Young-kil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1337-1342
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    • 2019
  • Medical institutions face the challenge of securing competitiveness among medical institutions due to the rapid spread of ICT convergence, and managing data that is growing at an enormous rate due to the emergence of big data and the emergence of the Internet of Things. The big data paradigm of the medical community is not just about large data or tools and processes for processing and analyzing it, but also means a computerized shift in the way people live, think and study. As the medical data is recently released, the demand for the use of medical data is increasing. Therefore, the research on disease detection system based on public data using open source that can help rational and efficient decision making was conducted. As a result of the experiment, unlike a simple disease inquiry or a symptom inquiry about a single disease provided by a public institution, related diseases are searched by a symptom or a cause.

Practical Guide to X-ray Spectroscopic Data Analysis (X선 기반 분광광도계를 통해 얻은 데이터 분석의 기초)

  • Cho, Jae-Hyeon;Jo, Wook
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.35 no.3
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    • pp.223-231
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    • 2022
  • Spectroscopies are the most widely used for understanding the crystallographic, chemical, and physical aspects of materials; therefore, numerous commercial and non-commercial software have been introduced to help researchers better handling their spectroscopic data. However, not many researchers, especially early-stage ones, have a proper background knowledge on the choice of fitting functions and a technique for actual fitting, although the essence of such data analysis is peak fitting. In this regard, we present a practical guide for peak fitting for data analysis. We start with a basic-level theoretical background why and how a certain protocol for peak fitting works, followed by a step-by-step visualized demonstration how an actual fitting is performed. We expect that this contribution is sure to help many active researchers in the discipline of materials science better handle their spectroscopic data.

A Study on the Design Method of Magnetizing Yoke Circuit Constant of 200kJ Magnetizer for Rotor Magnetization of High Capacity Permanent Magnet Motors (고용량 영구자석형 모터의 회전자 착자를 위한200 kJ급 착자기의 착자요크 회로정수 설계 방법에 관한 연구)

  • Jeong Minuk;SoongKeun Lee;GwonHu Baek;TaeKue Kim
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.2
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    • pp.21-30
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    • 2023
  • As the adoption and high-performance enhancement of Electric Vehicles continue, the demand for high-output motors and high-capacity Magnetizer for producing large-scale IPMSM is increasing. The maximum peak current of the magnetization and the capacitor discharge time, which are important factors in the magnetization process, are determined by the circuit constants of the magnetizer. In this paper, we analyze the magnetizing system using MATLAB SIMULINK to design the circuit constant of the magnetizing yoke for magnetizing design and present the design procedure for Design the circuit constant. As a result, the parameters of the magnetizing yoke were derived to be 0.015[ohm] and 0.035[mH] based on the capacitance of 15,000[uF] and voltage of 5,000[V].

A Study on the Development of Case Management Program for Arthralgia in Customized Visiting Health Care (맞춤형 방문건강관리사업에서의 관절통증 사례관리 프로그램 개발 연구)

  • Lee, Moo-Sik
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.474-478
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    • 2009
  • 본 연구는 2008년 맞춤형 방문건강관리사업에 사용되고 있는 관절통증을 중심으로 한 사례관리를 수정 보안하여 우리나라 실정에 맞는 관절통증 사례관리 프로그램을 개발, 제안하며, 맞춤형 방문건강 관리사업의 활성화와 완성도를 높이는데 있다. 연구방법으로는 2007년 전국 12주 관절통증 사례관리 결과자료 분석하고, 전국 253개 보건소의 맞춤형 방문건강관리사업 인력에 대한 자료 분석과 전국 보건소 전문가 자문회의와 토론 결과를 통해 설문지를 수정 보완하여 2008년도 충청남도 관절통증 12주 사례관리를 실시하였다. 자료분석은 SPSS 12.0 통계 프로그램을 이용하여, p-value가 0.05 미만과 0.01미만인 경우를 통계적으로 유의한 것으로 판정하였으며, 전국자료는 빈도분석, wilcoxon 부호순위 검정과 McNemar's 검정을 실시하였으며, 12주의 관절통증 사례관리의 연구기간동안 수집된 자료를 1주와 8주간, 1주와 12주간, 8주와 12주간을 paired t-test 검정과 McNemar's 검정을 실시하여 유의성 평가를 실시하였다. 연구결과는 다음과 같다. 12주 기간 동안 사전 사례관리 방문간호사의 교육을 통한 사례관리 서비스의 강도의 조절 및 매주로 서비스의 횟수를 조절하여 사례관리를 실시한 결과 총 109개 항목에서 1주와 8주간에 유의한 항목은 TG(mg/dl)를 비롯한 51개 항목, 1주와 12주간에는 콜레스테롤(mg/dl)을 비롯한 53개 항목, 8주와 12주간에는 지난 48시간동안 관절통증 점수를 비롯한 3개 항목으로 유의한 차이를 볼 수 있었으며, 1주와 8주간은 유의하나 1주와 12주간은 유의하지 않게 나타나는 항목은 TG(mg/dl)를 비롯한 3개 항목, 1주와 8주간은 유의하지 않다가 1주와 12주간은 유의하게 나타나는 항목은 콜레스테롤(mg/dl)를 비롯한 6개 항목, 1주, 8주, 12주간의 모든 기간에서 유의한 항목은 지난 48 시간동안 관절통증 점수를 비롯한 3개 항목으로 조사되었다. 결론적으로 현재 우리나라에서 추진되고 있는 맞춤형 방문건강관리 사업의 사업지침에 대한 보완을 위해 관절통증사례관리 프로그램에 있어 중재 서비스 또는 프로그램의 기간은 12주간에서 8주간으로 조정 되어야 하며, 추가가 필요한 항목으로는 교육, 자기역량 강화, 운동처방, 물리치료, 약물치료, 대체요법, 식이, 영양, 생활지도 등이며, 어골도 분석을 위한 기본 틀 및 주요 구성요소를 제시 및 기여 요인 및 결정요인을 위한 논리적 모형 제시가 필요하며, 개선목표를 위한 유지증진 및 관리능력, 지기 관리 수행도 개선과 대상자별 맞춤형 사례관리를 위한 표준화된 행동 체크리스트 제작 보급 및 사례별 운동, 물리치료 지도 방법 계획 수립에 대한 인력 충원이 필요하다.

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A Study on Key Successful Factors of Cruise Port (크루즈 항만의 성공요인에 관한 연구)

  • Lee, Choong Bae;Lee, Jongkoo;Noh, Jinho
    • Journal of Korea Port Economic Association
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    • v.29 no.2
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    • pp.81-111
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    • 2013
  • Along with a general growth in living standards there has been a corresponding increase in the demand for tourism. Cruise based tourism, in particular, has become one of the most dynamic and dramatic growth sectors in the tourism industry over the last 20 years, including in the Northeast Asian region. In line with the growth of passenger numbers, the number of cruise ships and their berth capacities has increased significantly since the late 1970s. Korea, as a peninsular nation, has also experienced a rapid growth in cruise passenger numbers. The national economy has greatly benefited from this as the industry acts as an income generator, creating new jobs and potential investments and in developing local tourism. Ports play an important role in the development of any national cruise industry, providing not only ship berths but supply and bunkering facilities and a gateway to local tourism opportunities. The selection of the optimal cruise port location is an important and complex problem because the decision makers have to consider a large number of criteria which have a significant effect on the economy, environment, human life, and society. This paper investigates those criteria that are significant in developing a successful cruise port by employing a questionnaire survey of major cruise port users - shipping companies and tourism companies. The ports, surveyed in this study are Busan, Incheon, Yeosu and Jeju. All have been identified as important potential cruise ports in the Korean Government's 'The 3rd Port Basic Plan (2011-2020)'.

Analysis on Determinants of Acceptance Intention of New Agricultural Technology: Using Innovation Resistance Model (농업 신기술 도입의향에 대한 결정요인 분석: 혁신저항모델을 이용하여)

  • Kim, Woong;Kim, Hong-Ki;Yu, Young-Seok;Noh, Jaejong;Chae, Yong-Woo;Choi, Jong-San
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.190-199
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    • 2019
  • This study was conducted to expand the distribution of new technology efficiently by analyzing the structure relationship based on the innovation resistance model and partial least square structural equation model (PLS-SEM). This study selected innovative propensity, relative advantage, compatibility, complexity, trialability, risk, and extension service consisting of educational, technical, and funding services as factors affecting innovation resistance. This study constructed a questionnaire that measured 11 factors including acceptance intention of new technology using 33 indicators. Data was from April to October, 2017, targeting 180 farmers who did not join in projects to spread new technologies of the Rural Development Administration. Results showed the factors positively and significantly affecting innovation resistance include complexity and risk. Innovative propensity did not have any effect on innovation resistance. However, it positively affected acceptance intention of new technology. The service of the extension organizations had a negative effect on innovation resistance, but did not affect acceptance intention of new technology. This study suggests that extension services should promote activities such as education, consulting, publicity and pilot projects related with new technologies in order to minimize the antipathy toward new agricultural technologies.