• Journal of information and communication convergence engineering
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• 제18권1호
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• pp.61-68
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• 2020

In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.

• 산업경영시스템학회지
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• 제18권33호
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• pp.29-37
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• 1995

An Automated Storage/Retrieval Systems(AS/RS) has been gradually emphasized because of the change of production and distribution environment. This paper develops algorithm and Shortest Distance Model that can reduce the traveling time of a stacker crane for efficient operation of AS/RS. In order to reduce the traveling time of a stacker crane, we determine the order processing and then the sequencing of storage/retrieval for each item. Order processing is determined based on the SPT(Shortest Processing Time) concept considering a criterion of retrieval coordinate. The sequencing of storage/retrieval is determined based on the Shortest Distance Model by using a modified SPP(Shortest Path Problem) of network problem. A numerical example is provided to illustrate the developed algorithm and Shortest Distance Model.

• The Journal of Asian Finance, Economics and Business
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• 제9권8호
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• pp.37-45
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• 2022

This study attempts to understand the relationship between accounting information systems AIS and firms' performance; in the first part of the study, a brief introduction that focuses on the technological advancements and the impact of such advancements on the business world, and in the second part, a review of literature that considered different perspectives on the relationship between AIS and firms' performance. The key differences between manual and automated systems were shown in a table later in the literature review, followed by explanations for each comparison aspect. In the third part, four questions are asked regarding the AIS implementation; the questions covered the top management commitment, the users' competencies, the quality of the adopted system, and the impact of the degree of technological investment on the implementation process. Data for the study was acquired from a Saudi SME. The study's purpose is to investigate the impact of AIS on organizational performance in Saudi SMEs. The presented ideas of this study, where the main finding of the study is that AIS implementation has a positive impact on firms' performance.

• Korean Journal of Radiology
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• 제21권11호
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• pp.1210-1219
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• 2020

Objective: To compare the utility and diagnostic performance of automated breast ultrasound system (ABUS) with that of handheld ultrasound (HHUS) in evaluating pure non-mass enhancement (NME) lesions on breast magnetic resonance imaging (MRI). Materials and Methods: One hundred twenty-six consecutive MRI-visible pure NME lesions of 122 patients with breast cancer were assessed from April 2016 to March 2017. Two radiologists reviewed the preoperative breast MRI, ABUS, and HHUS images along with mammography (MG) findings. The NME correlation rate and diagnostic performance of ABUS were compared with that of HHUS, and the imaging features associated with ABUS visibility were analyzed. Results: Among 126 pure NME lesions, 100 (79.4%) were malignant and 26 (20.6%) were benign. The overall correlation rate was 87.3% (110/126) in ABUS and 92.9% (117/126) in HHUS. The sensitivity and specificity were 87% and 50% for ABUS and 92% and 42.3% for HHUS, respectively, with no significant differences (p = 0.180 and 0.727, respectively). Malignant NME was more frequently visualized than benign NME lesions on ABUS (93% vs. 65.4%, p = 0.001). Significant factors associated with the visibility of ABUS were the size of NME lesions on MRI (p < 0.001), their distribution pattern (p < 0.001), and microcalcifications on MG (p = 0.027). Conclusion: ABUS evaluation of pure NME lesions on MRI in patients with breast cancer is a useful technique with high visibility, especially in malignant lesions. The diagnostic performance of ABUS was comparable with that of conventional HHUS in evaluating NME lesions.

• 인터넷정보학회논문지
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• 제11권3호
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• pp.65-74
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• 2010

유비쿼터스 헬스케어에서 지능형 의사결정지원 및 빠른 진단결과를 제공하기 위한 자동진단은 일반적으로 에이전트 시스템에 의해 수행된다. 본 연구에서는 이동에이전트기술을 사용하여 저 부하 노드에 효율적으로 프로세스를 이주시켜 부하를 분산시키도록 유비쿼터스 헬스케어시스템을 설계하였다. 또한 실시간 자동진단시스템을 지원하는 이동에이전트 중심의 유비쿼터스 헬스케어 기술을 위한 프레임워크를 제시하며, 효율적인 자원활용을 고려하여, 노드들 내에 있는 프로세스의 부하분산을 위한 균형화된 클러스터링을 제안한다. 제안한 알고리즘은 시스템의 부하분산이 최소화될 때까지 과부하된 노드를 선택하여 프로세스를 가까운 노드에 이주시킨다. 제안한 균형화 클러스터링은, 가까운 노드에 이주시킴으로써 메시지오버헤드를 감안할 때, 효율적으로 프로세스를 모든 노드에 분산시킨다.

• 대한전기학회논문지:전력기술부문A
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• 제48권9호
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• pp.1096-1102
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• 1999

This paper discusses the evaluation of interconnection capacity of small cogeneration(SCOGN) systems to the power distribution systems from the viewpoint of voltage regulation. Power utilities are required to keep the customers' voltage profile over a feeder close to the rated value under all load conditions. However, it is expected that the interconnection of SCOGNs to the power distribution systems impacts on the existing voltage regulation method and customers' voltage variations. Therefore, SCOGNs should be integrated to the automated power distribution systems to prevent interconnection problems and supply high quality electricity to the customers. For these reasons, we should proceed with the evaluation of interconnection capacity of SCOGNs to the power distribution systems. However, it is generally impossible to perform actual testing on the power distribution systems, and standardized methodologies and guidelines are not developed to evaluate it. The criterion indexes for voltage regulation and variations are presented in order to evaluate the interconnection capacity of SCOGNs to the power distribution systems. In addition, the evaluation methodology of interconnection capacity of SCOGNs for power distribution systems is presented. It is expected that the resulted of this paper are useful for power system planners to determine the interconnection capacity of SCOGNs and dispersed storage and generation (DSG) systems to the power distribution systems.

• 한국안전학회지
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• 제27권5호
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• pp.158-163
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• 2012

This study is concerned with the estimation of wind speeds for return period in cellularized district of Busan by the recent meteorological data. Recently standard of the wind load in Busan area is determined by using meteorological wind speed data which is observed on Automated Synoptic Observing System(ASOS) only. Applying the existing basic wind speed that is 40m/s to the construction design of Busan area is inefficient. Because the wind speeds of Busan area show different amounts depend on the location of cellularized district. This research analyze the observed data of wind speeds of cellularized district in Busan based on Automate Weather System(AWA). In addition that we compute regional wind speeds for return period by using Gumbel distribution and study and compare with the existing basic wind speeds after evaluating appropriateness by Hazen's plot method.

• 정보보호학회논문지
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• 제13권5호
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• pp.17-37
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• 2003

본 논문에서는 인증 및 키 분배 프로토콜에 대한 논리성 검증을 위한 ASVO 로직을 제안한다. ASVO 로직은 기존의 인증 로직 중 하나인 SVO 로직에 대해서 자동 검증을 고려하여 변형 설계한 로직이다. ASVO 로직은 구문적/의미적 구조의 안전성을 갖는 로직으로서. 비교적 간소화된 증명 단계를 갖는다. 또한 Isabelle/Isar 시스템을 이용하여 구현된 Isabelle/ASVO 시스템은 ASVO 로직을 통한 반자동 검증을 지원한다.

• KEPCO Journal on Electric Power and Energy
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• 제7권1호
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• pp.171-177
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• 2021

In terms of distribution planning, accurate electric load prediction is one of the most important factors. The future load prediction has manually been performed by calculating the maximum electric load considering loads transfer/switching and multiplying it with the load increase rate. In here, the risk of human error is inherent and thus an automated maximum electric load forecasting system is required. Although there are many existing methods and techniques to predict future electric loads, such as regression analysis, many of them have limitations in reflecting the nonlinear characteristics of the electric load and the complexity due to Photovoltaics (PVs), Electric Vehicles (EVs), and etc. This study, therefore, proposes a method of predicting future electric loads on distribution lines by using Machine Learning (ML) method that can reflect the characteristics of these nonlinearities. In addition, predictive models were developed based on actual data collected at KEPCO's existing distribution lines and the adequacy of developed models was verified as well. Also, as the distribution planning has a direct bearing on the investment, and amount of investment has a direct bearing on the maximum electric load, various baseline such as maximum, lowest, median value that can assesses the adequacy and accuracy of proposed ML based electric load prediction methods were suggested.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1996년도 춘계학술발표회논문집(2)
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• pp.691-698
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• 1996

This paper propose a procedure to estimate the system lifetime distribution using simulation method in a parametric framework and also develop the criterion for terminating the simulation. We assume that a system is composed of many components whose lifetime and repair time distributions are general, and repair of each component is imperfect or not. General simulation algorithms can not be adopted for this case, due to the dependency of successive operating times and the discontinuity in base line intensity function of failure process. Then we propose algorithms for generating failure times subject to imperfect repair. We develop the event time tracking logic for identifying the system failure time, and also develop the criterion for terminating the simulation. Our procedure is composed of two phases. The first phase of the procedure is to generate the system failure times from the inputs. The second phase is to estimate the lifetime distribution of the system. The best model is selected by a fully automated procedure among well-known parametric families, and the required parameters are estimated. We give examples to show the accuracy of our procedure and the effect of repair effect of components to system MTTF(Mean Time To Failure).