• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04a
• /
• pp.97-99
• /
• 2004

본 논문에서는 주기와 비주기 실시간 태스크가 혼합된 태스크 집합에 대하여 이용율 요구 분석(utilization demand analysis)에 기반한 수락제어 기법을 제안한다. 이용율 요구는 혼합 태스크 집합의 모든 태스크가 종료시한 내에 수행을 마치기 위한 프로세서의 이용율로 정의된다. 본 논문에서는 비주기 태스크 집합과 주기 태스크 집합 각각의 이용율 요구를 정의하고 혼합 태스크 집합에 대한 이용율 요구 분석 기법을 제공한다. 제안된 기법은 비주기 태스크에 대한 이용율 요구를 재귀적으로 계산하여 태스크의 수락여부를 결정한다. 이러한 기법은 O(n)에 스케줄링 분석을 수행하고 복잡한 자료구조가 필요하지 않아서 실시간 수락제어를 가능하게 한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2003.10a
• /
• pp.277-279
• /
• 2003

본 논문에서는 최악 수행시간이 알려진 주기 및 비주기 실시간 태스크 집합에 대한 수락제어 기법을 제안한다. 제안된 수락제어 기법은 주기 및 비주기 태스크가 혼합된 태스크 집합에 대해 이용율 요구(utilization demands)를 계산하여 태스크의 수락여부를 결정한다. 이용율 요구는 혼합 태스크 집합의 모든 태스크가 종료시한 내에 수행을 마치기 위한 프로세서의 이용율로 정의된다. 따라서 제안된 수락제어 기법은 수락된 모든 태스크의 종료시한을 보장한다. 제안된 이용율 요구 분석에 의한 수락제어 기법은 복잡한 스케줄링 가능성 분석이 필요하지 않아서 실시간 수락제어를 가능하게 한다.

• Journal of Korean Institute of Industrial Engineers
• /
• v.23 no.1
• /
• pp.1-22
• /
• 1997

Learning control refers to controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented a theory of indirect decentralized learning control based on use of indirect adaptive control concepts employing simultaneous identification and control. This paper extends these results to apply to the indirect repetitive control problem in which a periodic (i.e., repetitive) command is given to a control system. Decentralized indirect repetitive control algorithms are presented that have guaranteed convergence to zero tracking error under very general conditions. The original motivation of the repetitive control and learning control fields was learning in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the desired trajectory. Decentralized repetitive control is natural for this application because the feedback control for link rotations is normally implemented in a decentralized manner, treating each link as if it is independent of the other links.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.10a
• /
• pp.677-680
• /
• 2011

Error detection and correcting codes are typically used to protect against soft errors. In addition, scrubbing is applied which is a fundamental technique to avoid the accumulation of soft errors. This paper introduces an optimal scrubbing scheme, which is suitable for a system with auto error detection and correction logic. An auto error detection and correction logic can correct soft errors without CPU's writing operation. The proposed scrubbing scheme leads to maximum reliability by considering both allowable scrubbing load and the periodic accesses to memory by the tasks running in the system.

• Proceedings of the Korean Information Science Society Conference
• /
• 2002.10c
• /
• pp.370-372
• /
• 2002

다중처리기 상에서 실시간 태스크 스케줄링에 대한 연구가 현재 많이 수행되고 있지만, 주로 Pfair(P-fairness)와 EDF(Earliest Deadline First) 알고리즘에 대한 연구이다. Pfair는 이론적인 연구에 초점을 두고 있으며, EDF는 처리기들을 효율적으로 이용하지 못하는 문제점을 가지고 있다. 본 논문에서는 다중처리기 상의 주기적인 실시간 태스크 집합을 대상으로, LLA(Least Laxity Algorithm) 알고리즘이 높은 스케줄링 가능성(schedulability)을 가짐을 먼저 보인다. 다음으로 기존 알고리즘들의 문제점을 보완하기 위해 EDF와 LLA를 결합한 ED/LL(Earliest Deadline/Least Laxity)이라는 알고리즘을 제시한다. ED/LL은 LLA보다 문맥교환 횟수는 적고 EDF보다 스케줄링 가능성이 높으며, 구현 오버헤드도 크지 않다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.4
• /
• pp.1825-1844
• /
• 2019

Political campaigns circulate manipulative opinions in online communities to implant false beliefs and eventually win elections. Not only is this type of manipulation unfair, it also has long-lasting negative impacts on people's lives. Existing tools detect political manipulation based on a supervised classifier, which is accurate when trained with large labeled data. However, preparing this data becomes an excessive burden and must be repeated often to reflect changing manipulation tactics. We propose a practical detection system that requires moderate groundwork to achieve a sufficient level of accuracy. The proposed system groups opinions with similar properties into clusters, and then labels a few opinions from each cluster to build a classifier. It also models each opinion with features deduced from raw data with no additional processing. To validate the system, we collected over a million opinions during three nation-wide campaigns in South Korea. The system reduced groundwork from 200K to nearly 200 labeling tasks, and correctly identified over 90% of manipulative opinions. The system also effectively identified transitions in manipulative tactics over time. We suggest that online communities perform periodic audits using the proposed system to highlight manipulative opinions and emerging tactics.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.3
• /
• pp.1722-1737
• /
• 2019

We developed an insider threat detection model to be used by organizations that repeat tasks at regular intervals. The model identifies the best combination of different feature selection algorithms, unsupervised learning algorithms, and standard scores. We derive a model specifically optimized for the organization by evaluating each combination in terms of accuracy, AUC (Area Under the Curve), and TPR (True Positive Rate). In order to validate this model, a four-year log was applied to the system handling sensitive information from public institutions. In the research target system, the user log was analyzed monthly based on the fact that the business process is processed at a cycle of one year, and the roles are determined for each person in charge. In order to classify the behavior of a user as abnormal, the standard scores of each organization were calculated and classified as abnormal when they exceeded certain thresholds. Using this method, we proposed an optimized model for the organization and verified it.

• East Asian Economic Review
• /
• v.24 no.4
• /
• pp.337-348
• /
• 2020

Although the WTO has fulfilled several key tasks it was set up to do - providing periodic reviews of members' trade policies, resolving disputes, supporting negotiations - with the notable exceptions of the Trade Facilitation and Information Technology agreements, WTO members have not been able to negotiate new rules on "bread and butter" trade policies. The importance of doing so was illustrated by the COVID-19 pandemic which saw widespread uncoordinated recourse to trade policy instruments. This paper highlights four reforms that would bolster the effectiveness of the WTO as a forum for trade cooperation: (1) improving collection and reporting of information on trade-related policies; (2) supporting analysis-informed deliberation to establish a common understanding of the need and scope for cooperation in specific policy areas; (3) putting in place a stronger multilateral governance framework for plurilateral cooperation between groups of WTO members; and (4) reestablishing an effective dispute settlement system.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.12
• /
• pp.1338-1345
• /
• 2014

Recently, wireless technology gains attention for industrial networks due to low cost, flexibility, relatively easy installation and most importantly, solving the rouring issue. ISA100.11a is one of promising standard for wireless industrial networks (WINs). Data traffic in industrial networks are known to be periodic and must satisfy the real-time property namely deadline. Therefore, in this paper, we proposed to apply deadline monotonic scheduling to periodic tasks in ISA100.11a networks and to evaluate the performance of ISA100.11a by checking the schedulability and beacon frame overhead. Simulation results showns, that our proposed scheme can reduces the network overhead while maintaining schedulability as compared to the previous algorithm. In addition, by reducing the network overhead, our proposed scheme can send more data without degrading the overall performance of WINs.

• Journal of the Korean Society of Safety
• /
• v.24 no.4
• /
• pp.90-95
• /
• 2009

The purpose of this study is to investigate industrial safety and health experts' opinions on the examination system of WMSDs(work related musculoskeletal disorders) risk factors. For doing this, a questionnaire study and two FGIs(focused group interview) were conducted. A questionnaire with open questions about the examination system was developed, and sent to 42 experts consented bye-mail. Of the experts, 24 experts responded, whose data were used in the analysis. The FGIs were performed for the persons in charge of industrial safety and health in industries and ergonomists. The questionnaire study revealed that most experts(91.3%) agreed with legalization of employers' duty for preventing WMSDs, necessity of the 11 tasks designated by Ministry of Labor, the examination system and ergonomics program, and pertinency for the examination system classification of periodic and occasional one. However, more than half experts disagreed with timeliness and appropriateness of the legal system. This was validated by the low approval rates for appropriateness of the 11 tasks, methods of the examination, charge person in the examination and ergonomics program. FGIs showed that it was desirable for the examination system to be legalized, and that the system was generally properly performed. It was suggested that the system be partially revised with reflecting problems disclosed during its enforcement rather than whole revision. It is expected that when revising relevant legal system, the results of this study would be used as valuable data.