• 한국산업정보학회논문지
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• 제6권2호
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• pp.63-73
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• 2001

An alternative approach to formulating a special class of linear goal programming (LGP) models is presented. We propose a formulation of the LGP model that can include the decision variables in the objective function. We specifically propose that the position of the decision variables in the objective function be used to eliminate goal constraints whose sole purpose is to indirectly optimize decision variables. For the select group of LGP problems wherever indirect optimization of decision variables are sought, the alternative LGP model formulation is able to reduce the size of these LGP models and in turn the computational effort required for their solution.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.235-244
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• 2022

Many new techniques have been adopted in HEVC (High efficiency video coding) standard, such as quadtree-structured coding unit (CU), prediction unit (PU) partition, 35 intra-mode, and so on. To reduce computational complexity, the paper proposes two optimization algorithms which include fast CU depth range decision and fast PU partition mode decision. Firstly, depth range of CU is predicted according to spatial-temporal correlation. Secondly, we utilize the depth difference between the current CU and CU corresponding to the same position of adjacent frame for PU mode range selection. The number of traversal candidate modes is reduced. The experiment result shows the proposed algorithm obtains a lot of time reducing, and the loss of coding efficiency is inappreciable.

• Journal of the Korean Data and Information Science Society
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• 제18권1호
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• pp.81-96
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• 2007

The headline of advertisements holds the important position in advertisement recognition and receptivity. In this paper, we classified the headlines as several types with measuring the response effects for purpose of understanding the customer's behavior. Also we conducted the decision tree analysis and correspondence analysis. The decision tree shows the difference between responders and non-responders, and the correspondence analysis shows the relationship between the sales and the customer's demographic information.

• 한국경영과학회지
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• 제19권1호
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• pp.201-206
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• 1994

The linear search problem is concerned with finding a hiden target on the real line R. The position of the target governed by some probability distribution. It is desired to find the target in the least expected search time. This problem has been formulated as an optimization problem by a number of authors without making use of Markov Decision Process (MDP) theory. It is the aim of the paper to give a (MDP) formulation to the search problem which we feel is both natural and easy to follow.

• 스마트미디어저널
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• 제13권1호
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• pp.24-35
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• 2024

The combination of Artificial Intelligence and the Internet of Things (AIoT) has gained significant popularity. Deep neural networks (DNNs) have demonstrated remarkable success in various applications. However, deploying complex AI models on embedded boards can pose challenges due to computational limitations and model complexity. This paper presents an AIoT-based system for smart parking lots using edge devices. Our approach involves developing a detection model and a decision tree for occupancy status classification. Specifically, we utilize YOLOv5 for car license plate (LP) detection by verifying the position of the license plate within the parking space.

• 한국의류학회지
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• 제32권5호
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• pp.766-776
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• 2008

The purpose of this study was 1) to identify the reasons for delay of decision making and the shopping information in internet shopping, 2) to classify consumers based on the clothing benefits, 3) and to examine the differences among consumer groups in the reasons for delay of decision making and the shopping information. The data were collected from a sample of 500 internet shopper aged from 20 to 40. This study used factor analysis, multiple regression analysis, Pearson's correlation analysis, cluster analysis and ANOVA. The results showed that the reasons for delay of decision making consisted of eight factors: Performance risk, Comparison shopping, Economic shopping, Social risk, Uncertainty, Expecting of market change, Product unsatisfaction, Passive shopping. The shopping information consisted of three factors: Product variety, Product information, Additional information. Five factors of clothing benefits were Economy, Figure compensation, Social position, Individuality, and Comfort. The respondents were classified into four groups by five factors of clothing benefits; Individuality seeking group, Low-benefits seeking group, Economy seeking group, Figure compensation/comfort seeking group. There were significant differences among groups in the reasons for delay of decision making and the shopping information among groups. Therefore, marketers need to provide different shopping information for delay closure by target groups.

• 벤처창업연구
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• 제10권4호
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• pp.113-131
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• 2015

본 연구는 지식경영역량의 신제품 개발 과정에서의 역할을 설명하고, 지식습득역량에서 지식적용역량으로 연결되는 과정을 통해 선두이점과 신제품품질의 우월성, 그리고 신제품 성과 간에 관계를 규명하기 위한 연구이다. 지금까지 지식기반 연구는 지식의 정의, 지식의 유형 구분, 지식과 정보 간의 차이 등에 대한 연구로 국한되어왔다. 본 연구는 기업의 신제품 지식경영활동 중 발생하는 지식습득과 지식적용역량을 전략적 변수로서 간주하여, 지식경영역량의 선행변수와 결과변수를 조사하였다. 지식기반이론과 source-position-performance(SPP)구조를 바탕으로, 가치창출에 원천으로서 지식의 유형은 지식경영역량의 개발에 중요한 역할을 하며, 이러한 지식경영역량은 포지션상의 우위를 가져와 신제품 성과에 영향을 미칠 수 있음을 제시하였다. 이를 검증하기 위해 국내 하이테크 산업에 속하는 기업들 중 신제품 프로젝트에 참여한 제품 개발팀의 과장급 이상 종사원을 대상으로 설문조사를 실시하였다. 구조방정식모형을 사용하여 가설을 검증한 결과 7개의 가설 중 신제품 지식의 복잡성과 지식적용역량의 관계(H1b)를 제외한 모든 가설이 통계적으로 유의한 결과를 보였다. 본 연구의 공헌은 SPP 구조를 기반으로 하여 지식의 유형과 포지션상 우위를 연결하는 매개변수로서 지식경영역량을 소개하였고, 실증 분석을 통해 신제품 혁신 이론에 지식경영역량이 중요한 역할을 한다는 것을 보였다는 것이다. 또한 신제품 개발 성과를 향상하기 위해서는 신제품 개발 팀장들의 역할 즉, 팀 구성원들의 개별 지식 접근능력을 기르고, 그것을 적용하기 위한 능력을 개발하는 것이 중요하다는 것을 제시하였다는 점은 실무적으로 의의가 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.181-183
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• 1996

Generally, While position type fuzzy controller has good performance in transient period, it has uniform steady state error of response. While velocity type fuzzy controller is capable of reducing steady state error of response, it is hard to develop the performance in transient period. In order to have both good performance in transient period and ability to reduce the steady state error of response, weighting fuzzy controller, which is composed of these two fuzzy controllers, is proposed. For the decision of weight to each fuzzy controller, Weighting fuzzy set is established according to the system state variables and applied to each fuzzy controller. The proposed weighted fuzzy controller has the merits of both position type fuzzy controller and velocity type fuzzy controller simultaneously.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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• pp.164-167
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• 2004

In the paper is proposed a hierarchical adaptive fuzzy controller for balancing and position control of the inverted pendulum system. Because balancing control rules of the pendulum and position control rules of the cart can be opposite, it is difficult to design an adaptive fuzzy controller that satisfy both objectives. To stabilize the pendulum at a specified position, the hierarchical adaptive fuzzy controller consists of a robust indirect adaptive fuzzy controller for balancing, a forced disturbance generator which emulates heuristic control strategy, and a supervisory decision maker for the arbitration of two control objectives It is proved that all the signals in the overall system are bounded. Simulation results are given to verify the proposed adapt i ye fuzzy control method.

• 대한산업공학회지
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• 제22권3호
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• pp.313-324
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• 1996

A new policy to determine the waiting position of an idle Automated Guided Vehicle(AGV) is proposed and its performance is compared with the existing waiting position policies. Unlike the existing policies, the queue length in the input buffer is considered in the new policy. As a result, the waiting position based on the new policy depends on the status of the system. The simulation result indicates that the proposed policy reduces the waiting time in both the input and the output buffers significantly, regardless of the number of AGVs in the system. Therefore, the manufacturing lead time can be minimized.