• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 추계학술발표대회
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• pp.1248-1251
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• 2011

Web Service technologies make the automation of business activities that are distributed across multiple enterprises possible. Existing extended transaction protocols typically resort to compensation actions to regain atomicity and consistency. A reservation-based transaction protocol is proposed to reduce high compensation risk. However, for a serial long running transaction processing, the resource that is reserved in the early stage may be released due to resource holding time expires. Therefore, our analysis theoretically illustrates a scheduling scheme that tries to prevent the loss of resource holding as well as gain an optimized execution plan with minimum compensation cost. In order to estimate cost of different schedules, we set up a costing model and cost metric to quantize compensation risk.

• 한국식품영양과학회지
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• 제30권2호
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• pp.299-306
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• 2001

As a part of basic investigation for utilization of canned food processing by-products, a food components of the canned oyster processing waste water such as boiled and released water(BRW), wash water(WW) were investigated and compared with hot-water extracts from oyster. From the results of measuring heavy metal conte수, viable cells and coliform group, the canned oyster processing waste waters might not invoke health risk in using food resource. The contents of taste compounds (free amino acids, ATP related compounds, TMA (O) and total creatinine) of BRW and WW accounted for about 254% and 95%, respectively, in comparison with those of control (hot-water extract from oyster). The BRW showed a very high content of salt in comparing to the WW and control. In descending order, the values of whiteness index was WW, control and BRW. Sensory scores for color, oyster flavor intensity and saline taste were not significantly different between WW and control. But, BRW had the highest score in oyster flavor intensity, while had the lowest score in color and saline taste. But, the color and saline taste of BRW might be able to control by some pretreatment (concentration and drying in mild condition, desalination and recipe control etc). These results indicated that BRW and WW generated from various step during canned oyster processing could be a potential food resource by controlling of saline taste and color intensity.

• 정보보호학회논문지
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• 제18권5호
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• pp.181-188
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• 2008

E-Science Grid is designed to cope with computation-intensive tasks and to manage a huge volume of science data efficiently. However, certain tasks may involve more than one grid can offer in computation capability or incur a long wait time on other tasks. Resource sharing among Grids can solve this problem with proper processing-integrity check via audit. Due to their computing-intensive nature, the processing time of e-Science tasks tends to be long. This potential long wait before an audit failure encourages earlier audit mechanism during execution in order both to prevent resource waste and to detect any problem fast. In this paper, we propose a Light-weight, Adaptive and Reliable Audit, LARA, of processing Integrity for e-Science applications. With the LARA scheme. researchers can verify their processing earlier and fast.

• 한국정보처리학회논문지
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• 제6권11S호
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• pp.3350-3355
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• 1999

Modeling for the Internet resource is important to use of limited resource efficiently. Also, the modeling could guide how we can approach the Internet problems. The many studies of price mechanism to internalize the externality, to decrease the externality from congestion, and to use the Internet resource efficiently, are widely going on. The represent styles for Internet pricing are usage-based pricing(UBP) and flat-rat pricing(FRP) and the FRP could prefers for the beginning stage of Internet introduce. The purpose of this study is to examine the efficiency of Internet pricing mechanism based on flat-rate pricing, both consumer and producer side.

• Journal of Information Processing Systems
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• 제7권4호
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• pp.707-716
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• 2011

It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.

• 한국정보처리학회논문지
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• 제4권10호
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• pp.2571-2580
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• 1997

본 연구에서는 자원의 수가 한정된 상태에서 동작 알고리즘의 수행을 마치기 위한 자원제약 스케쥴링 방법을 다루었다. 특히, 제한된 자원제약하에서 연산이 할당되는 제어스텝의 최하한값을 구하기 위한 지연 스케쥴링 방법을 제안하였다. 스케쥴링 문제에 대하여 연산의 멀티싸이클과 기능적 파이프라이닝을 고려하였으며 스케쥴링 문제에 대한 최적의 결과를 얻기 위해 선형정수계획법을 이용하였다. 5차 디지털 웨이브 필터 DFG를 실험 대상으로 하여 본 연구의 효용성을 입증하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 추계학술발표대회
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• pp.239-240
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• 2012

When users access to use the computing resources in the cloud, they expect specific quality of service (QoS) which should be guaranteed by the service provider. Meanwhile, the service provider should adopt proper schemes to enhance the resource utilization. In this thesis, we propose the MapChem-Broker which aims to satisfy users' QoS requirements as well as enhance the resource utilization by controlling the provision of VM resources in the cloud. On the experimental cloud testbed, we compare the proposed scheme with an existing one for VM resource provisioning. Results show that the proposed scheme outperforms the existing one.

• Journal of Information Processing Systems
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• 제18권3호
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• pp.389-401
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• 2022

The business of Internet of Vehicles (IoV) is growing rapidly, and the large amount of data exchange has caused problems of large mobile network communication delay and large energy loss. A strategy for resource allocation of IoV communication based on mobile edge computing (MEC) is thus proposed. First, a model of the cloud-side collaborative cache and resource allocation system for the IoV is designed. Vehicles can offload tasks to MEC servers or neighboring vehicles for communication. Then, the communication model and the calculation model of IoV system are comprehensively analyzed. The optimization objective of minimizing delay and energy consumption is constructed. Finally, the on-board computing task is coded, and the optimization problem is transformed into a knapsack problem. The optimal resource allocation strategy is obtained through genetic algorithm. The simulation results based on the MATLAB platform show that: The proposed strategy offloads tasks to the MEC server or neighboring vehicles, making full use of system resources. In different situations, the energy consumption does not exceed 300 J and 180 J, with an average delay of 210 ms, effectively reducing system overhead and improving response speed.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 추계학술발표대회
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• pp.91-92
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• 2009

의료기관에서 배출되는 유해성 특수폐기물의 적법처리 여부는 생명에 영향을 주는 매우 중요한 일이다. 그러므로 해당 폐기물의 유통이력정보를 철저히 관리하여 불법 처리를 방지하고, 관련 업체에는 업무 효율성 및 비용 절감의 목적을 달성하기 위해서 본 시스템을 구현하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 춘계학술발표대회
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• pp.45-47
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• 2022

Mobile edge computing (MEC), which enables mobile terminals to offload computational tasks to a server located at the user's edge, is considered an effective way to reduce the heavy computational burden and achieve efficient computational offloading. In this paper, we study a multi-user MEC system in which multiple user devices (UEs) can offload computation to the MEC server via a wireless channel. To solve the resource allocation and task offloading problem, we take the total cost of latency and energy consumption of all UEs as our optimization objective. To minimize the total cost of the considered MEC system, we propose an DRL-based method to solve the resource allocation problem in wireless MEC. Specifically, we propose a Asynchronous Advantage Actor-Critic (A3C)-based scheme. Asynchronous Advantage Actor-Critic (A3C) is applied to this framework and compared with DQN, and Double Q-Learning simulation results show that this scheme significantly reduces the total cost compared to other resource allocation schemes