• Industrial Engineering and Management Systems
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• 제11권2호
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• pp.155-164
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• 2012

As the global market becomes more competitive, manufacturing industries face relentless pressure caused by a growing tendency of greater varieties of products, shorter manufacturing cycles and more sophisticated customer requirements. Efficient and effective supplier selection and order allocation decisions are, therefore, important decisions for a manufacturer to ensure stable material flows in a highly competitive supply chain, in particular, when customers are willing to accept products with less desirable product attributes (e.g., color, delivery date) for economic reasons. This paper attempts to solve optimally the challenging problem of supplier selection and order allocation, taking into consideration the customer flexibility for a manufacturer producing multi-products to satisfy the customers' demands in a multi period planning horizon. A new mixed integer programming model is developed to describe the behavior of the supply chain. The objective is to maximize the manufacturer's total profit subject to various operating constraints of the supply chain. Due to the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, an improved genetic approach is proposed to solve the problem optimally. This approach differs from a canonical genetic algorithm in three aspects: a new selection method to reduce the chance of premature convergence and two problem-specific repair heuristics to guarantee feasibility of the solutions. The results of applying the proposed approach to solve a set of randomly generated test problems clearly demonstrate its excellent performance. When compared with applying the canonical genetic algorithm to locate optimal solutions, the average improvement in the solution quality amounts to as high as ten percent.

• 디지털융복합연구
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• 제12권7호
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• pp.133-145
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• 2014

최근 병원정보시스템은 병원 경영을 위한 다양한 서비스, 진료 활성화와 진료의 질 향상을 위하여 대용량의 데이터베이스를 보유하게 되었다. 하지만, 병원정보시스템에 대한 정보보호대책은 미흡한 편이다. 따라서, 병원정보시스템 구축할 때, 정보보호에 대한 대책을 적절하게 마련하여 정보보호 감리를 수행하여야 하며, 위험관리를 통한 정보보호 수준을 유지할 수 있도록 정보보호 관리체계(ISMS)를 수립하고 관리해야 한다. 본 논문에서는 병원정보시스템, 정보보호관리체계, 병원정보 보호 요구사항 및 위협요소를 근거로 병원정보시스템에 적합한 정보보호 감리모형을 제안하였다. 감리모형에서는 의료기관의 특성이 잘 반영되어 있는 ISO27799와 비교하여 점검항목들을 도출하였다. 보안영역은 물리적, 기술적, 관리적 영역으로 분류하고 각각에 세부적으로 정보보호 항목들을 도출하였다. 또한 ISO27799의 위험관리 절차에 따라 점검항목을 매핑함으로써 보안성과 효율성을 동시에 향상시킬 수 있도록 설계하였다. 제안한 감리모형은 IT 전문가들의 5점 척도 설문 조사 결과 평균 4.91점으로 나타나 적합하다는 결론이 도출되었다.

• 한국대기환경학회지
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• 제21권6호
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• pp.561-571
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• 2005

To introduce an emissions trading system for GHG that currently have no reduction requirements, the following should be considered as priorities: eliciting the participation of the industrial sector and linking GHG emission trading systems to the emissions trading system (implemented from July 2007) that has become part of national policy with the enactment of the Special Act. Two directions can serve as viable alternatives in that regard. One is a baseline-and-credit method based on incentive auctioning. This has the advantage of inducing participation through economic incentives without a reductions commitment. The downside of this method is that it requires vast investments, as well as the fact that reaching an agreement between participants and the government to decide an objective baseline is difficult. On the other hand, the cap-and-trade method set forth in the Special Act is attractive in that it can be integrated with the air pollutant emissions trading system, but it would be difficult to elicit the participation of the industrial sector in the absence of GHG emission reduction requirements. In the current situation, it would be preferable for the government to induce the participation of the industrial sector by devising a wide variety of incentives because taking part in the emissions trading system before reducing GHG emissions offers large incentives through learning by doing. The timing of GHG reduction commitments and emissions trading system implementation may be uncertain but their Implementation will be unavoidable. Thus the government needs to facilitate preparations for emissions trading of GHG in the future and continuously review its operation in integration with the air pollutant emissions trading system to maximize adaptation and teaming by doing effect in the industrial sector.

• 정보교육학회논문지
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• 제7권3호
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• pp.263-274
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• 2003

본 논문에서는 JSP를 이용하여 동적인 웹 기반 교수 학습 시스템을 설계 구현하여 웹 기반 교수 학습을 위한 방법을 제시하였다. 멀티미디어 학습자료를 이용한 학습방법과 학습자의 다양한 요구에 부응하기 위하여 학습자가 자유롭게 학습할 수 있는 학습자 중심의 교육모델을 제공하고자 설계하였다. 개발된 웹 기반 교수 학습 시스템은 학습자가 원하는 과목을 수강하여 강의 듣기, 과제 제출 및 시험보기를 가능하게 하여 실제수업에 활용하는 것에 초점을 맞추었고, 실제 수업과 동일한 효과를 나타내기 위해 전자 칠판 기능과 고음질, 고압축의 음성 원격 강의, 동영상 등을 포함한 멀티미디어 강의 자료를 활용하여 구현하였다. 교수자는 웹 상에서 직접 멀티미디어 자료, 이미지를 삽입하여 선다형, 단답형, 논술형의 시험을 출제할 수 있도록 하여 다양한 평가를 가능하게 하였고, 과제 관리, 강의 등록 등 학사 관리를 쉽게 하도록 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권9호
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• pp.4103-4121
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• 2018

Quality of Service (QoS) awareness is recognized as a key point for the success of Internet of Things (IOT).Realizing the full potential of the Internet of Things requires, a real-time task scheduling algorithm must be designed to meet the QoS need. In order to schedule tasks with diverse QoS requirements in cloud environment efficiently, we propose a task scheduling strategy based on dynamic priority and load balancing (DPLB) in this paper. The dynamic priority consisted of task value density and the urgency of the task execution, the priority is increased over time to insure that each task can be implemented in time. The scheduling decision variable is composed of time attractiveness considered earliest completion time (ECT) and load brightness considered load status information which by obtain from each virtual machine by topic-based publish/subscribe mechanism. Then sorting tasks by priority and first schedule the task with highest priority to the virtual machine in feasible VMs group which satisfy the QoS requirements of task with maximal. Finally, after this patch tasks are scheduled over, the task migration manager will start work to reduce the load balancing degree.The experimental results show that, compared with the Min-Min, Max-Min, WRR, GAs, and HBB-LB algorithm, the DPLB is more effective, it reduces the Makespan, balances the load of VMs, augments the success completed ratio of tasks before deadline and raises the profit of cloud service per second.

• 생물환경조절학회지
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• 제12권4호
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• pp.200-206
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• 2003

본 연구에서는 새송이버섯을 중심으로 품질향상 및 생산량 증대를 목적으로 적정재배사의 구조설계 및 환경조절 기술을 개발 ${\cdot}$ 보급하기 위하여 서부 경남지역의 새송이버서 재배농가를 중심으로 재배사의 구조 및 환경조절장치를 조사하였다. 또한 환경조절실태를 조사하기 위하여 농가에 위치한 2개 동의 상업용 버섯재배사를 대상으로 환경인자를 계측하였다. 본 연구에서는 이들 연구 중 환경인자 계측결과를 분석하였다. 실험기간동안 외기온은 평년과 큰 차이가 없었으나, 재배사 내부의 온도가 설정온도보다 다소 낮게 유지되고 있기 때문에 진주지역의 동절기 최저 외기온을 고려하면, 난방기 용량이나 배관에 문제가 있는 것으로 판단되었다. 난방 시 상하 재배상간 온도차가 최대 2~3$^{\circ}C$ 정도로 높게 나타나 높이별 온도분포가 일정하지 않을 뿐만 아니라 또 최하단 재배상에서 균상이 지나치게 건조하게 되어 버섯의 발이가 잘 되지 않는 등의 문제도 종종 발생하였다. 그리고 상대습도는 재배 기간 동안 변화가 심하고, 평균상대습도도 일반적으로 알려져 인ㅅ는 것보다 발이기나 생육기에 모두 다소 높거나 낮게 유지되는 등 습도유지가 일정하지 않은 것을 알 수 있었다. 탄산가스 농도도 권장농도보다 높게 유지되는 등이 문제가 있었다. 조도는 권장조도보다 전반적으로 낮게 유지되고 있음을 알 수 있었다. 또한 버섯의 수확량은 평균적으로 병당 약 67~85 g 정도로 나타났고, 총 판매금액은 균상 구입비의 2배 이사인 것으로 조사되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권3호
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• pp.1260-1281
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• 2015

As the number of services available on the Web increases, it is vital to be able to identify which services can be trusted. Since there can be an extremely large number of potential services that offer similar functionality, it is challenging to select the right ones. Service requestors have to decide which services closelysatisfy their needs, and theymust worry about the reliability of the service provider. Although an individual service can be trusted, a composed service is not guaranteed to be trustworthy. In this paper, we present a trust model that supports service discovery and composition based on trustworthiness. We define a method to evaluate trust in order to discover trustworthy services. We also provide a method to perform trust estimation for dynamic service composition, and we present results of two experiments. The proposed model allows for service requestors to obtain the most trustworthy services possible. Our mechanism uses direct and indirect user experience to discover the trustworthiness of the services and service providers. Moreover, composing services based on quantitative trust measurements will allow for consumers to acquire a highly reliable service that meet their quality and functional requirements.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.I
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• pp.1-30
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• 2000

고차원의 식물공장 개발이 논의되었는데, 이것은 식물생장환경을 위한 공정제어, 물류 조작을 위한 기계화, 생산을 위한 시스템 제어, 그리고 컴퓨터 응용과 같은 기술들을 포함한다. 더 나아가 식물공장의 장점들은 생산의 안정화, 높은 생산 효율, 생장기간의 단축화를 통한 생산물의 더 나은 품질관리, 더 좋은 조건들, 낮은 소요 노동력, 그리고 산업적 개념의 더 용이한 적용을 포함한다. 마지막으로 태양광과 인공광을 사용하는 궁극적이 식물공장을 실현하기 위하여, 제어공학의 지능적 접근, 생리학적 생태환경과 인공지능(AI)이 필연적이어서 저자가 이룩한 약간의 연구업적에 근거하여 소개되었다.

• Smart Structures and Systems
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• 제25권5호
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• pp.631-641
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• 2020

To meet the urgent requirements of safety surveillance from civil engineering management authorities, this study proposes a refined and efficient approach to generate full-field high-resolution panorama of construction sites using camera-amounted UAV (Unmanned Aerial Vehicle). GPS (Global Position System) information extraction for pre-registration, feature points filtering for efficient registration and optimal seaming line seeking for fusion are performed in sequence to form the full-field panorama generation framework. Advantages of the proposed method are as follows. First, GPS information can sort images for pre-registration, avoiding inefficient repeated pairwise calculations and matching. Second, the feature points are filtered according to the characteristics of the construction site images to reduce the amount of calculation. The proposed framework is validated on a road construction site and results demonstrate that it can generate an accurate and high-quality full-site panorama for the safety supervision in a much efficient manner.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권12호
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• pp.5191-5211
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• 2016

It is essential to satisfy class-specific QoS constraints to provide broadband services for new generation networks. The present study proposes a QoS-driven multicast scheme for wireless networks in which the transmission rate and end-to-end delay are assumed to be bounded during a multiple multicast session. A distributed algorithm was used to identify a cost-efficient sub-graph between the source and destination which can satisfy QoS constraints of a multicast session. The model was then modified as to be applied for wireless networks in which satisfying interference constraints is the main challenge. A discrete power control scheme was also applied for the QoS-aware multicast model to accommodate the effect of transmission power level based on link capacity requirements. We also proposed random power allocation (RPA) and gradient power allocation (GPA) algorithms to efficient resource distribution each of which has different time complexity and optimality levels. Experimental results confirm that the proposed power allocation techniques decrease the number of unavailable links between intermediate nodes in the sub-graph and considerably increase the chance of finding an optimal solution.