• Title/Summary/Keyword: Case Study Tradeoff Study

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Performance Tradeoff Between Control Period and Delay: Lane Keeping Assist System Case Study

  • Cha, Hyun-Jun;Park, Seong-Woo;Jeong, Woo-Hyuk;Kim, Jong-Chan
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.11
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    • pp.39-46
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    • 2015
  • In this paper, we propose a performance-aware workload model for efficient implementation of control systems. When implementing a control algorithm as an embedded computer system, the control code executes periodically. For such systems, its control performance depends on not only the accuracy of the control algorithm itself but also temporal parameters such as control period and sensing to actuation delay. In this regard, this paper studies the relation between control period and delay by measuring and analyzing the control performance of LKAS (Lane Keeping Assist System) with varying period and delay combinations. Through this experimental study, this paper shows that the two timing parameters, i.e.,control period and delay, has a tradeoff relation in terms of control performance.

Study on Lecture Model for Systems Engineering Concept (시스템엔지니어링 개념 교육 모델 연구)

  • Park, Joongyong
    • Journal of the Korean Society of Systems Engineering
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    • v.8 no.2
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    • pp.37-45
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    • 2012
  • About 20 years have passed since Systems Engineering(SE) was introduced in Korea. KCOSE(Korean Council On Systems Engineering) and KOSSE(The Korean Society of Systems Engineering) were established during that period and Korean SE community has increased quantitatively. But We can not answer "Yes!" for the questions "Did Korean SE community increase qualitatively? and How about SE education or training?" Many participants at SE lecture classes said that they were not able to understand SE concept. I analyzed current SE lecture materials and then proposed new model of SE concept lecture for SE novices. The new model consists of Vee diagram, life cycle model, PMTE paradigm, technical review, SE sample and definition of SE. I expect that the proposed model will contribute to upgrade a quality of domestic SE education.

Optimal Cooperation and Transmission in Cooperative Spectrum Sensing for Cognitive Radio

  • Zhang, Xian;Wu, Qihui;Li, Xiaoqiang;Yun, Zi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.2
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    • pp.184-201
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    • 2013
  • In this paper, we study the problem of designing the power and number of cooperative node (CN) in the cooperation phase to maximize the average throughput for secondary user (SU), under the constraint of the total cooperation and transmission power. We first investigate the scheme of cooperative spectrum sensing without a separated control channel. Then, we prove that there indeed exist an optimal CN power when the number of CNs is fixed and an optimal CN number when CN power is fixed. The case without the constraints of the power and number of CN is also studied. Finally, numerical results demonstrate the characteristics and existences of optimal CN power and number. Meanwhile, Monte Carlo simulation results match to the theoretical results well.

A preference­based design metric in dynamic robust design (설계자 선호도를 고려한 동적 시스템의 강건설계법)

  • 김경모
    • Journal of Korean Society for Quality Management
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    • v.31 no.4
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    • pp.239-246
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    • 2003
  • Dynamic robust design has been regarded as the most powerful design methodology for improving product quality, Dynamic SN ratio adopted in dynamic robust design combines two major quality attributes, the variability around the linear function and the slope of the linear function, into a single design metric. The principal shortcoming associated with the dynamic SN ratio is that the metric is independent of designer's preferences for the quality attributes due to priori sets of attribute tradeoff values inherent in it. Therefore, a more rigorous preference­based design metric to accurately capture designer's intent and preference is needed. A new design metric that can be used in dynamic robust design is proposed. The effectiveness of the proposed design metric is examined with the aid of a demonstrative case study and the results are discussed.

OPTIMIZING QUALITY AND COST OF METAL CURTAIN WALL USING MULTI-OBJECTIVE GENETIC ALGORITHM AND QUALITY FUNCTION DEPLOYMENT

  • Tae-Kyung Lim;Chang-Baek Son;Jae-Jin Son;Dong-Eun Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.409-416
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    • 2009
  • This paper presents a tool called Quality-Cost optimization system (QCOS), which integrates Multi-Objective Genetic Algorithm (MOGA) and Quality Function Deployment (QFD), for tradeoff between quality and cost of the unitized metal curtain-wall unit. A construction owner as the external customer pursues to maximize the quality of the curtain-wall unit. However, the contractor as the internal customer pursues to minimize the cost involved in designing, manufacturing and installing the curtain-wall unit. It is crucial for project manager to find the tradeoff point which satisfies the conflicting interests pursued by the both parties. The system would be beneficial to establish a quality plan satisfying the both parties. Survey questionnaires were administered to the construction owner who has an experience of curtain-wall project, the architects who are the independent assessor, and the contractors who were involved in curtain-wall design and installation. The Customer Requirements (CRs) and their importance weights, the relationship between CRs and Technical Attributes (TAs) consisting of a curtain-wall unit, and the cost ratios of each components consisting curtain-wall unit are obtained from the three groups mentioned previously. The data obtained from the surveys were used as the QFD input to compute the Owner Satisfaction (OS) and Contractor Satisfaction (CS). MOGA is applied to optimize resource allocation under limited budget when multi-objectives, OS and CS, are pursued at the same time. The deterministic multi-objective optimization method using MOGA and QFD is extended to stochastic model to better deal with the uncertainties of QFD input and the variability of QFD output. A case study demonstrates the system and verifies the system conformance.

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An Study on Project Selection based on Analytic Hierarchy Process (AHP를 이용한 프로젝트 선정에 관한 실증적 연구)

  • Kim, Joo-Wan;Lee, Wook-Gee;Kim, Pan-Soo
    • Journal of the Korea Safety Management & Science
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    • v.9 no.2
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    • pp.195-214
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    • 2007
  • The purpose of this study is to explore the applicability of AHP(Analytic Hierarchy Process) to select more productive projects among various proposed projects in a particular company. To achieve this research objective, the characteristics of project evaluation and selection are first reviewed with respect to when, where, and how the decision is made. Then the theoretical basis of the AHP is briefly reviewed along with its mathematical underpinnings to construct the framework of project evaluation and selection. To be more specific, the evaluation and selection criteria were reorganized in the AHP-based framework to make the process of project evaluation and selection more productive. Project evaluation and selection is one of the most important activities for the most companies to be more advantageous in the market. Despite the importance of decision making process of project selection, not many of how to choose the best project were suggested as the reliable project selection methods in the industries. It may be because it involves various activities related to conflict resolution among different evaluation criteria, high uncertainties of market, and the unclear tradeoff among various project objectives. Furthermore, the decision, once made at this point, tends to be irrevocable until the whole process turns out to be a complete success or failure. As the result, the AHP method showed better financial performance rather than the traditional method in a case study.

SOCMTD: Selecting Optimal Countermeasure for Moving Target Defense Using Dynamic Game

  • Hu, Hao;Liu, Jing;Tan, Jinglei;Liu, Jiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4157-4175
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    • 2020
  • Moving target defense, as a 'game-changing' security technique for network warfare, realizes proactive defense by increasing network dynamics, uncertainty and redundancy. How to select the best countermeasure from the candidate countermeasures to maximize defense payoff becomes one of the core issues. In order to improve the dynamic analysis for existing decision-making, a novel approach of selecting the optimal countermeasure using game theory is proposed. Based on the signal game theory, a multi-stage adversary model for dynamic defense is established. Afterwards, the payoffs of candidate attack-defense strategies are quantified from the viewpoint of attack surface transfer. Then the perfect Bayesian equilibrium is calculated. The inference of attacker type is presented through signal reception and recognition. Finally the countermeasure for selecting optimal defense strategy is designed on the tradeoff between defense cost and benefit for dynamic network. A case study of attack-defense confrontation in small-scale LAN shows that the proposed approach is correct and efficient.

Dominant Stockholder Illegality and Enterprise Value : Focusing on Korean Firm Cases

  • Kim, Sung Tack
    • Asia Pacific Journal of Business Review
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    • v.1 no.2
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    • pp.17-35
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    • 2017
  • This research is a case study that focuses on how conglomerate illegality and corresponding penalty affects corporate performance and strategy. The research aims to provide base information for policy-makers as well as the general public about the corporate environment. The analysis results can be summarized as follows. First, profitability is represented as an M-curve. Profitability falls from indictment to the final pronouncement of the corporate head and increases upon his or her return. The result suggests that the absence of a corporate head could result in low profitability as the firm is exposed to owner risk. Secondly, significant effects on investment were not found. Investment showed a continuous increase from indictment to final judgment. This could have resulted from investment decisions made prior to the indictment, which are generally long-term. Meanwhile, the rate at which investments rose for core subsidiaries were lower, which makes it reasonable to suspect dwindling executive capacity due to the absence of a corporate head. Thirdly, employment showed a slight increase, but the rate was found to be greater during the periods following the final judgment. From a political perspective, this increase can be inferred from a give-and-take tradeoff between corporate employment and the pardon of the corporate head.

APPLICATION OF FUZZY LINEAR PROGRAMMING FOR TIME COST TRADEOFF ANALYSIS

  • Vellanki S.S. Kumar;Mir Iqbal Faheem;Eshwar. K;GCS Reddy
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.69-78
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    • 2007
  • In real world, the project managers handle conflicting goals that govern the use of resources within the stipulated time and budget with required quality and safety. These conflicting goals are required to be optimized simultaneously by the project managers in the framework of fuzzy aspiration levels. The fuzzy linear programming model proposed herein helps project managers to minimize total project costs, completion time, and crashing costs considering indirect costs, contractual penalty costs etc by practically charging them in terms of direct cost of the project. A case study of bituminous pavement under construction is considered to demonstrate the feasibility of applying the proposed model for optimization of project parameters. Consequently, the proposed model yields an efficient compromise solution and the decision maker's overall degree of satisfaction with multiple fuzzy goal values. Additionally, the proposed model provides a systematic decision-making framework, enabling decision maker to interactively modify the fuzzy data and model parameters until a satisfactory solution is obtained. The significant characteristics that differentiate the proposed model with other models include, flexible decision-making process, multiple objective functions, and wide-ranging decision information.

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The Financing Behavior and Financial Structure Determinants of Korean Manufacturing Firms (한국제조기업의 자금조달행태와 재무구조 결정요인에 관한 연구)

  • Shin, Dong-Ryung
    • The Korean Journal of Financial Management
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    • v.23 no.2
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    • pp.109-141
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    • 2006
  • The central factor in the pecking order theory of financial structure is the asymmetric distribution of information between managers and less-informed outside investors. Myers and Majluf (1984) show that this asymmetry leads managers to prefer internal funds to external funds. Funds are raised through equity issues only after the capacity to issue debt has been exhausted. In contrast, according to static tradeoff theory, an optimum financial structure exists by the tradeoff between tax saving by debt and bankruptcy costs. This study examines the recent changes of Korean firms' financial structure and financing behavior and the determinants of financial structure. The sample of firms comes from the period of $1996{\sim}2004$, and the number of firms is 32,003. The major findings are as follows. First, in contrast with previous studies using US firms as sample, Korean firms have been using debt financing as their major financing instrument. Especially, the firms in the fund deficit situation relies much more on $long{\sim}term$ and $short{\sim}term$ debts rather than on equity issues. Second, as is the case with previous studies using US firms sample indicates, the financing deficit variable can not explain perfectly the net debt issue. However, compared with net equity issue variable, net debt issue variable is more closely related to the financing deficit variable. Third, when financing deficit variable is added to the current list of explanatory variables of financial structure determinants model, it has a significant and positive explanatory power. In addition, the coefficients of determinants are much improved. Thus, it is concluded that although pecking order theory is not perfect, it appears to be more useful compared to static tradeoff theory, at least in explaining the recent financing behavior of Korean manufacturing firms.

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