• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.468-470
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• 2005

This paper presents a method which can select optimal nodes to reduce harmonics by using ANP. First, we measured harmonics for the real distribution system and Tried to Analyze It. Second, we designed filters to reduce harmonics. Third, we composed each clusters and calculated it to select optimal nodes based on ANP. We a lied it to the distribution system, and deduce most advantageous method in many technical and economical among harmonic decrease measures. We proved the adequacy and usefulness of the result.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.7
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• pp.61-69
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• 1997

With the vigorous researches in the character recognition, the need to recognize run-on multilingual handwritten characters is increasing to provide uses with more comfortable PUI(pen user interface) environments. In general, many intermediate word candidates word candidates are generated in run-on multilingual recognition because there is no information of ending position and linguistic kind of character. To remove unnecessary word candidates which are generated in run-on multilingual recognition, we classify them into two groups and select the best candidate among the word candidates in the group where the final characater is completed using 5 attributes. In this research, we propose a method in order to select the best one candidate. It is called WRM (Weighted ranking method). The weights are adaptively trained by LMS(Least mean square) learning rule. Results show that the abilities of decision makin gusing weights are much better than those not using weights.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.2
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• pp.248-256
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• 2002

In this paper, new multicast scheduling algorithms are proposed for the WDM single－hop broadcast－and－select networks. The existing multicast scheduling algorithms do not concerned the previous state of receivers, but the proposed method call H－EAR and PGM that partition a multicast group to subgroups using the tunable transmitter, state information of receivers, and pseudo group concept. the performance of proposed algorithms are evaluated through the computer simulation. They show the better Performance comparing with the existing multicast scheduling algorithm.

• Nuclear Engineering and Technology
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• v.33 no.5
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• pp.457-467
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• 2001

It is well known that the performance of a fuzzy neural network strongly depends on the input features selected for its training. In its applications to sensor signal estimation, there are a large number of input variables related with an output As the number of input variables increases, the training time of fuzzy neural networks required increases exponentially. Thus, it is essential to reduce the number of inputs to a fuzzy neural network and to select the optimum number of mutually independent inputs that are able to clearly define the input-output mapping. In this work, principal component analysis (PCA), genetic algorithms (CA) and probability theory are combined to select new important input features. A proposed feature selection method is applied to the signal estimation of the steam generator water level, the hot-leg flowrate, the pressurizer water level and the pressurizer pressure sensors in pressurized water reactors and compared with other input feature selection methods.

• Journal of Korean Society of Transportation
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• v.14 no.2
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• pp.45-58
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• 1996

In a large signal intersection, it is the most important to set phase sequences and phase intervals of traffic signal in order to improve the efficiency of the capacity as well as safety. These setting allows to select the best sequence of signal phase among several alternatives, and thus to rearrange the starting and ending points of the individual phase using an effective interphase periods (EIP). The EIP is a gap between previous and current traffic movements at a potential collision point in an intersection. Each of traffic movements has an equality for safety and efficiency at the balanced condition of EIP. This paper presents how to set optimally the phase sequences and intervals of traffic signal in an intersection using phase based approach. And in the second part, we applied the theory developed in the first part. In particular, a numerical example of phase base signal setting is presented using a matrix computation method in order to select the best sequence among several alternatives, and thus to rearrange the starting and ending points of the individual phase using the EIP. This method also allows to apply to optimum signal setting even in five-lag or staggered-type intersection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3371-3380
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• 2012

This paper finds the selecting evaluation index of technical development supporting business, applied to determine its validity. Measuring the new evaluation index for selection against the existing select evaluation index, it shows which index has accurately estimated the ranking of the companies with good performance. Using the BSC and AHP method, this study developed the select evaluation index of technology development supporting business.

• Proceedings of the KIEE Conference
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• summer
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• pp.211-213
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• 2004

This paper presents a method which can select optimal nodes to reduce harmonics by using ANP. First, we measured harmonics for the real distribution system and designed filters. Second, we composed each clusters and calculated it to select optimal nodes based on ANP We applied it to the distribution system, and usefulness of the method is verified.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.49
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• pp.11-21
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• 1999

The purpose of this study is to present the method to select optimal size for the industrial products which are closely related to human's body size. For this purpose, human factors such as body characteristics, body features, and preference in product selection which needs to be considered in setting standards were analyzed. This analysis is to select optimal size to minimize losses caused by the difference of size between demand by the customers and supply from the manufacturers. Using loss function, repetitive calculation process algorithm by using bisearch method was applied in selecting the sizes of demand and supply which minimize the total expected losses. For cumulative normal distribution probability, IMSL routine DNORDF was used. In case study, comparison has been made between the result which was calculated using presented algorithm and the results calculated by the process currently used by KS and ISO by measuring aged women's body size in human factors side and sorting them through the factor analysis and cluster analysis for feature factor extraction. Thus, they can be used as a basis for establishing industrial product standards.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.353-364
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• 2016

This study was conducted to find the influence of menu select attribute on consumer preferences and satisfaction as perceived by Japanese restaurant consumers. Survey method was employed and distributed during January 1 to January 31, 2016 from who have an experience in Japanese restaurants located in Busan and Gyeongnam. First, the quality of the menu (${\beta}=.444$, p<.001), menu design(${\beta}=.425$, p<.001), select menu motivation (${\beta}=.147$, p<.001) positively impact on consumer preferences. Second, consumer preference significantly and positively influence on customer satisfaction. Third, the quality of the menu (${\beta}=.650$, p<.001), menu design(${\beta}=.120$, p<.001), select menu motivation (${\beta}=.263$, p<.001) positively impact on consumer satisfaction. Finally, partial mediating effect of consumer preference was identified between select attributes and consumer satisfaction.

• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.666-673
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• 2019

In the immersive virtual reality environment, we can select and manipulate various virtual objects. in order to select a virtual object, we generally use Ray-casting method that fires a virtual line in user's view and selects an object when the line and the object match, or Cone-casting method that is widely used to select multiple objects at the same time. However, since the virtual objects used in CAD are composed of small and complex objects in detail, when selecting an object in the user's view by existing methods, there occurs a ambiguity problem that needs additional realignment operation even though an object is selected as a group. in this paper, even if a virtual object is composed of several small virtual objects, it calculates the spatial and logical relationship among objects and expands or shrinks desired objects, so that the user can quickly and accurately select a desired object. in order to evaluate the proposed method, performance comparison were performed using Our and Ray-Casting and Cone-Casting methods. Experimental results show that the proposed method has the fastest speed and the highest accuracy when selecting the desired objects.