• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.197-218
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• 2022

Purpose This study examines the roles of firm-level smart factory implementation in the relationship between organizational competence and organizational performance in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study presents and empirically tests a research model with evaluation data conducted by industrial experts on how organizational competence can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach Organizational competence are based on the research construct developed by Odważny et al.(2018). Research constructs on smart factory are based on the measurement model developed by Korea Technology and Information Promotion Agency for Korea small and medium Enterprises (TIPA) (2020) and organizational performance are based on the performance construct developed by Kwon(2019). To complete the investigation, we collected 31 firm data conducted by industrial experts in Korea from Dec 2018 to Dec 2020. Most of firm was implemented officially by government budget granted for smart factory of Korea SMEs. To test our hypotheses, partial least squares (PLS) method was employed. Findings The findings indicate that organizational competence is antecedent to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competence and organizational performance through smart factory implementation. So companies should focus on enhancing organizational competence and implementing smart factory to obtain sustainable competitiveness.

• 정보관리학회지
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• 제31권1호
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• pp.251-275
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• 2014

본 연구는 대학도서관 사서의 조직몰입을 입체적으로 이해하고 이러한 조직몰입을 도서관 조직 차원에서 관리하는 방안을 검토하기 위하여 심층면담을 통해 사서의 조직몰입에 대한 원인을 살펴보고 조직몰입과 목표인식과의 관계를 질적으로 분석하였다. 그 결과를 요약하면 다음과 같다. 첫째, 다수의 연구참여자는 근무하는 도서관에 대한 조직몰입에 대해 현재의 도서관 상황에서는 조직몰입하기 어렵다고 응답하였다. 그 원인으로 물리적 보상, 조직분위기, 조직 내의 관계, 근무조건 등 위생요인의 불만족과 직무, 성취감, 책임감, 승진 등 동기유발요인이 만족되지 않음을 언급하였다. 따라서 조직몰입은 다양한 동기요인 및 근무환경의 복합적인 결과로 판단된다. 둘째, 조직목표에 대한 인식에 대해서, 긍정적인 목표인식은 직무만족, 성취감 등 동기요인 뿐만 아니라 물리적 보상에 대한 불만해소, 조직분위기, 동료관계에 대한 변화 등 위생요인과도 긍정적인 관계를 보였다. 이에 따라 사서의 도서관목표에 대한 인식은 조직몰입의 동기요인과 위생요인 충족과 관련이 있으며, 목표인식 개선을 통하여 사서의 조직몰입이 조직적으로 관리될 여지가 있는 것으로 파악되었으며, 향후, 이러한 결과를 기반으로 목표인식과 조직몰입의 관계에 대한 확증적 연구의 필요성을 제기하였다.

• 인지과학
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• 제31권4호
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• pp.137-154
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• 2020

학습 상황에서 개인의 내적 특성은 다양한 방식으로 학습행동에 영향을 준다. 특히 '동기'는 학습자의 목표 설정하 및 전략 선택에 영향을 주는 핵심적인 요소이다. 본 연구는 학습자의 목표지향이 학습 시간 분배 방식에 어떠한 영향을 미치는가를 확인하였다. 참가자들의 목표지향 상태를 달리하기 위하여 관련 변인인 조절초점(regulatory focus)과 지능관점(theories of intelligence)을 측정 및 조작하여 집단을 구분하였다. 두 변인은 각각 접근-회피전략(조절초점에 따른 동기 성향)과 숙달-수행지향적 태도(지능관점에 따른 동기)를 유발하며 학습자의 목표지향(goal orientation) 형성에 영향을 주는 핵심적인 변인으로 알려져 왔다. 실험에서 조절초점은 성향검사점수를 기준으로 두 집단으로 구분하였으며, 조작을 통해 지능관점의 차이를 일시적으로 유발하여 두 변인 간의 상호작용을 확인하였다. 참가자들은 일련의 스페인어-한국어 단어 쌍을 학습한 후 재학습하고 싶은 항목을 선택하여 자유롭게 학습순서를 결정할 수 있었다. 단어 쌍은 어렵거나 쉬운 항목들로 구성되어 있었으며, 학습자들은 원한다면 같은 단어를 여러 번 학습할 수 있었다. 결과에서, 조절초점과 지능관점에 따라 학습 초반에 어려운 단어를 선택하는 비율의 상호작용 효과가 나타났다. 즉, 향상초점-증진조건의 참가자들은 향상초점-불변조건의 참가자들에 비해 학습 초반에 어려운 단어를 배치하는 비율이 높았으며, 예방초점인 학습자들은 지능관점의 영향을 받지 않았다. 이러한 결과는 학습자의 목표지향에 따라 학습 전략을 세우는 방식이 다를 수 있음을 보여준다.

• 산업경영시스템학회지
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• 제4권5호
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• pp.73-83
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• 1981

The purpose of value analysis is to assist each to approach nearer enough to this goal to provide substantial competitive and profit advantages. It provides planned and disciplined thought and act ion which hel ps identify unnecessary cost throughout the product or process cycle. Value analysis is a precise, disciplined, one-purpose thinking process. Its one purpose is to retain all the performance and aesthetic factors which now exist In the product, process or services, which the customer wants and is willing to pay for : and through disciplined thinking procedures, to put together Practical alternatives which will accomplish them at still lower cost. Value in a product or service is the reward for appropriate performance and appropriate cost Value analysis must therefore employ techniques which will sensitize any "lacking" area so that the need can be identified and satisfied. As the business begins to see the benefit of the activity, additional value analysts consultants may be added. This will provide more penetration in the three identified areas, of top managers group, individual value analysis consultants and senior member who organizes value analysis work, and besides, additional abilities will be secured.e secured.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 추계학술대회 논문집 학회본부 B
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• pp.479-481
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• 1999

In this paper, We design low-order controller to achieve maximized controller stability margin and controller' Performance. FOPA(Fixed Order Pole Assignment) method is one of the approach to design controller in the parametric uncertain system. But the method to define a Target Polynomial is not explicit1y Known. In this paper, our goal is to find a controller Coefficient, such that performance and $l_2$ stability margin are maximized in the parametric uncertain system. Using Lipatove theorem and CDM(Coefficient Diagram Method), we set target polynomial constraints and design a controller which maximizes $l_2$ stability margin. we show effectiveness of the proposed controller design method by comparing $l_2$ stability many of the desired controller with that of the conventional robust controller.

• Journal of Communications and Networks
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• 제7권3호
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• pp.337-352
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• 2005

In this paper, a fuzzy logic implementation of the random early detection (RED) mechanism [1] is presented. The main objective of the proposed fuzzy controller is to reduce the loss probability of the RED mechanism without any change in channel utilization. Based on previous studies, it is clear that the performance of RED algorithm is extremely related to the traffic load as well as to its parameters setting. Using fuzzy logic capabilities, we try to dynamically tune the loss probability of the RED gateway. To achieve this goal, a two-input-single-output fuzzy controller is used. To achieve a low packet loss probability, the proposed fuzzy controller is responsible to control the $max_{p}$ parameter of the RED gateway. The inputs of the proposed fuzzy controller are 1) the difference between average queue size and a target point, and 2) the difference between the estimated value of incoming data rate and the target link capacity. To evaluate the performance of the proposed fuzzy mechanism, several trials with file transfer protocol (FTP) and burst traffic were performed. In this study, the ns-2 simulator [2] has been used to generate the experimental data. All simulation results indicate that the proposed fuzzy mechanism out performs remarkably both the traditional RED and Adaptive RED (ARED) mechanisms [3]-[5].

• 한국항공운항학회지
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• 제16권2호
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• pp.1-11
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• 2008

Increasing demand for improved reliability and survivability of mission-critical systems is driving the development of health monitoring and Automated Contingency Management (ACM) systems. An ACM system is expected to adapt autonomously to fault conditions with the goal of still achieving mission objectives by allowing some degradation in system performance within permissible limits. ACM performance depends on supporting technologies like sensors and anomaly detection, diagnostic/prognostic and reasoning algorithms. This paper presents the development of a generic prototype test bench software framework for developing and validating ACM systems for advanced propulsion systems called the Propulsion ACM (PACM) Test Bench. The architecture has been implemented for a Monopropellant Propulsion System (MPS) to demonstrate the validity of the approach. A Simulink model of the MPS has been developed along with a fault injection module. It has been shown that the ACM system is capable of mitigating the failures by searching for an optimal strategy. Furthermore, the concepts of Validation and Verification (V&V) of such systems are introduced with relevant examples.

• 국제초고층학회논문집
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• 제2권2호
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• pp.131-139
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• 2013

The field of structural fire engineering has evolved within the construction industry, driven largely by the acceptance of performance-based or goal-based design. This evolution has brought two disciplines very close together - that of structural engineering and fire engineering. This paper presents an overview of structural systems that are frequently adopted in tall building design; typical beams and columns, concrete filled steel tube columns and long span beams with web openings. It is shown that these structural members require a structural analysis in relation to their temperature evolution and failure modes to determine adequate thermal protection for a given fire resistance period. When this is accounted for, a more explicit understanding of the behaviour of the structure and significant cost savings can be achieved. This paper demonstrates the importance of structural fire assessments in the context of tall building design. It is shown that structural engineers are more than capable of assessing structural capacity in the event of fire using published methodologies. Rather than assumed performance, this approach can result in a safe and quantified design in the event of a fire.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 Korea-Russia Joint Conference on Geometics
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• pp.82-94
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• 2004

This paper addresses solutions to the challenges of carrier phase integer ambiguity resolution and cycle slip detection/identification, for maintaining high accuracy of an integrated GPS/Pseudolite/INS system. Such a hybrid positioning and navigation system is an augmentation of standard GPS/INS systems in localized areas. To achieve the goal of high accuracy, the carrier phase measurements with correctly estimated integer ambiguities must be utilized to update the system integration filter's states. The occurrence of a cycle slip that is undetected is, however, can significantly degrade the filter's performance. This contribution presents an effective approach to increase the reliability and speed of integer ambiguity resolution through using pseudolite and INS measurements, with special emphasis on reducing the ambiguity search space. In addition, an algorithm which can effectively detect and correct the cycle slips is described as well. The algorithm utilizes additional position information provided by the INS, and applies a statistical technique known as the cumulative-sum (CUSUM) test that is very sensitive to abrupt changes of mean values. Results of simulation studies and field tests indicate that the algorithms are performed pretty well, so that the accuracy and performance of the integrated system can be maintained, even if cycle slips exist in the raw GPS measurements.

• International Journal of Computer Science & Network Security
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• 제21권12spc호
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• pp.556-564
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• 2021

Numerous spatial and transform-domain-based conventional denoising algorithms struggle to keep critical and minute structural features of the image, especially at high noise levels. Although neural network approaches are effective, they are not always reliable since they demand a large quantity of training data, are computationally complicated, and take a long time to construct the model. A new framework of enhanced hybrid filtering is developed for denoising color images tainted by additive white Gaussian Noise with the goal of reducing algorithmic complexity and improving performance. In the first stage of the proposed approach, the noisy image is refined using a high-dimensional non-local means filter based on Principal Component Analysis, followed by the extraction of the method noise. The wavelet transform and SURE Shrink techniques are used to further culture this method noise. The final denoised image is created by combining the results of these two steps. Experiments were carried out on a set of standard color images corrupted by Gaussian noise with multiple standard deviations. Comparative analysis of empirical outcome indicates that the proposed method outperforms leading-edge denoising strategies in terms of consistency and performance while maintaining the visual quality. This algorithm ensures homogeneous noise reduction, which is almost independent of noise variations. The power of both the spatial and transform domains is harnessed in this multi realm consolidation technique. Rather than processing individual colors, it works directly on the multispectral image. Uses minimal resources and produces superior quality output in the optimal execution time.