• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1524-1529
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• 2005

Particle filter is a kind of conditional density propagation model. Its similar characteristics to both selection and mutation operator of evolutionary strategy (ES) due to its Bayesian inference rule structure, shows better performance than any other tracking algorithms. When a new object is entering the region of interest, particle filter sets which have been swarming around the existing objects have to move and track the new one instantaneously. Moreover, there is another problem that it could not track multiple objects well if they were moving away from each other after having been overlapped. To resolve reinitialization problem, we use competitive-AVQ algorithm of neural network. And we regard interfarme difference (IFD) of background images as potential field and give priority to the particles according to this IFD to track multiple objects independently. In this paper, we showed that the possibility of real-time object tracking as intelligent interfaces by simulating the deformable contour particle filters.

• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.157-174
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• 2007

Corporation had been made by important action rule of business ethics that observes legal standard that is prescribed in each class of administration activity. But it does not keep ethicality of corporation action that conforms law. Law can not include all parts of business ethics because it is forcing essential class for public order preservation and public welfare in right. Moreover, partial corporations are doing to justify unethical action of other evasion of taxes, consultation, manufacturing etc. with legal basis meaning abusing legal standard. For these reason, Insistence that is in point of legal standard and ethical standard is not different each other that is in equal viewpoint is brought.

• Proceedings of the KIEE Conference
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• 2003.11a
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• pp.422-425
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• 2003

CBP market which is the first stage of competitive electricity market has been operated and the KPX has been established since April, 2001 by restructuring plan for electricity industry. Baseload unit are settled with baseload CP and BLMP in CBP market. The other unit are settled with peakload CP and SMP. The difference of settlement between two groups occurs the profit changes of the unit. This paper analyzes the profit by units under settlement rule in CBP market. It analyzes the difference between market clearing price and variable costs, and fixed cost recovery through CP income. Finally, this paper suggests the plan how market was affected by the difference of fixed cost recovery by generators and how to improve Intermediate and peak load unit's profit.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.3
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• pp.135-144
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• 2004

In this paper, we propose competitive fuzzy polynomial neurons-based advanced Self-Organizing Neural Networks(SONN) architecture for optimal model identification and discuss a comprehensive design methodology supporting its development. The proposed SONN dwells on the ideas of fuzzy rule-based computing and neural networks. And it consists of layers with activation nodes based on fuzzy inference rules and regression polynomial. Each activation node is presented as Fuzzy Polynomial Neuron(FPN) which includes either the simplified or regression polynomial fuzzy inference rules. As the form of the conclusion part of the rules, especially the regression polynomial uses several types of high-order polynomials such as linear, quadratic, and modified quadratic. As the premise part of the rules, both triangular and Gaussian-like membership (unction are studied and the number of the premise input variables used in the rules depends on that of the inputs of its node in each layer. We introduce two kinds of SONN architectures, that is, the basic and modified one with both the generic and the advanced type. Here the basic and modified architecture depend on the number of input variables and the order of polynomial in each layer. The number of the layers and the nodes in each layer of the SONN are not predetermined, unlike in the case of the popular multi-layer perceptron structure, but these are generated in a dynamic way. The superiority and effectiveness of the Proposed SONN architecture is demonstrated through two representative numerical examples.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.165-170
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• 2023

This paper proposes an algorithm that can obtain a solution with linear time for a set cover problem(SCP) in which there is no polynomial time algorithm as an NP-complete problem so far. Until now, only heuristic greed algorithms are known to select sets that can be covered to the maximum. On the other hand, the proposed algorithm is a competitive algorithm that applies an inclusion-exclusion principle rule to N nodes up to 2nd or 3rd in the maximum number of elements to obtain a set covering all k nodes, and selects the minimum cover set among them. The proposed algorithm compensated for the disadvantage that the greedy algorithm does not obtain the optimal solution. As a result of applying the proposed algorithm to various application cases, an optimal solution was obtained with a polynomial time of O(kn²).

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.4
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• pp.354-358
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• 2001

This paper presents a fuzzy neural network model which solves the underutilization problem. This fuzzy neural network has both stability and flexibility because it uses the control structure similar to AHT(Adaptive Resonance Theory)-l neural network. And this fuzzy nenral network does not need to initialize weights and is less sensitive to noise than ART-l neural network is. The learning rule of this fuzzy neural network is the modified and fuzzified version of Kohonen learning rule and is based on the fuzzification of leaky competitive leaming and the fuzzification of conditional probability. The similarity measure of vigilance test, which is performed after selecting a winner among output neurons, is the relative distance. This relative distance considers Euclidean distance and the relative location between a datum and the prototypes of clusters. To compare the performance of the proposed fuzzy neural network with that of Kohonen Self-Organizing Feature Map the IRIS data and Gaussian-distributed data are used.

• Korean Journal of Legislative Studies
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• v.26 no.2
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• pp.35-71
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• 2020

The purpose of this study is to verify the effect of electoral competition on voters deciding on strategic split-ticket voting under the mixed-member electoral system. As result, the more competitive the constituencies are, the more voters choose to vote for the major parties. The results of logistic regression analysis including interaction terms showed that the more competitive the constituencies are, the more voters choose for candidates from the major parties. Also, the finding shows that major party supporters are less affected by electoral competition than minor party supporters in choosing a candidate in the single-seat districts. In the case of minor party supporters, the more competitive the constituencies were, the more likely they were to choose the major party candidate instead of the minor party candidate. Based on these results, it can be inferred that voters are affected by the presence or behavior of other voters in local constituencies under the first-past-the-post rule. Because of the psychology of not wanting their votes to be useless, voters cast their ballots more strategically as the competition in constituencies intensifies, and as the competition in constituencies slackens, such tendencies weaken, and this trait is particularly evident among minor party supporters.

• Journal of Korean Society for Quality Management
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• v.40 no.4
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• pp.467-480
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• 2012

Purpose: This paper introduces new 2-of-3 main and supplementary runs rules to increase the performance of the classical $\bar{X}$ control chart for detecting small process shifts. Methods: The proposed runs rules are compared with other competitive runs rules by numerical experiments. Nonlinear optimization problem to minimize the out-of-control ARL at a specified shift of process mean for determining action and warning limits at a time is formulated and a procedure to find two limits is illustrated with a numerical example. Results: The proposed 2-of-3 main and supplementary runs rules demonstrate an improved performance over other runs rules in detecting a sudden shift of process mean by simultaneous changes of mean and standard deviation. Conclusion: To increase the performance in the detection of small to moderate shifts, the proposed runs rules will be used with $\bar{X}$ control charts.

• Korean Business Review
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• v.20 no.1
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• pp.19-32
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• 2007

As business environments rapidly changing and becoming more competitive, manager begin to realize the needs of the network organization structure reflecting the newly emerging internet environments. This paper, therefore, attempt to provide managers with a framework that can be used to design an effective network structure. The framework described here shows three important characteristics of network organizations: First, staffs need to be knowledge workers, rather than rule follower. Second, managers need to emphasize the empowerment, rather than exercising hierarchical power and control. In order for managers to support the design of network organizations they need to implement information systems that can integrate staffs, tasks, and information technologies.

• Journal of the Korea Safety Management & Science
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• v.9 no.3
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• pp.95-102
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• 2007

Nowadays, globally high-grade companies have done their best for increasing their competitive power through a many kinds of method in incisive competition for making certain of a pacesetting position. Among the rest, Six Sigma have been the best methodology of improving process and have proven to be effective by the result of improving process in many of manufacturing business, however, it has not obtained excellent results in the transaction business. In transaction business, a $30\sim50%$ costs in total costs is generated by slow-speed working and reworking. The slow processes decrease the quality and increase the cost, which decreases customer satisfaction, and finally the income is decreased. All of them are so called wastes in processes. For this, adopting of lean six sigma methodology in process management can eliminate the wastes and reduce the variation. This study focuses on distribution with the domains like capacity, layout, amount of location, assignment of product, operation procedure and operation rule in order to improve these domains, we make a further application of eight analysis ways based on DMAIC method for improving operation of processes of distribution center as the third profit source. The goal of this study is to trace an approach that can easily adopt of Lean Six Sigma in operational management of distribution center by a kind of data, analysis method and template.