• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.210-217
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• 2019

This research examines whether the evaluation index used Dream Start services operation evaluation has 'reliability in evaluation field and area' and 'whether there is discrimination according to evaluation index'. To do this, we conducted an empirical analysis based on the evaluation data of 126 municipal and provincial governments that received the 2018 Dream Start services operation evaluation. First, as a result of examining whether there is trust in each evaluation area, it was found that the reliability of the basic construction, integrated case management, and service operation field is higher than .6 and the lower evaluation indexes are the same Standards were met. However, the field of resource exploit and connectivity was not so reliable as the concept of sub-domains. Second, 'Are there discriminatory power according to the evaluation indexes?' The results showed that 18 of the 28 indicators were highly discriminative. On the other hand, 10 indicators showed low discrimination power.

• Journal of Advanced Marine Engineering and Technology
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• v.38 no.9
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• pp.1070-1074
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• 2014

According to IEEE 1662(2009), IPS is a power system where all prime movers produce electrical power that is shared among propulsion, mission, and ship service loads. Discriminating attributes of integrated power systems are flexibility of movers' arrangements, mechanical decoupling between prime movers and propulsors, an increased level of energy conversion and transmission redundancy, and flexibility of redistributing available electrical power for future electronic weapons. IPS could have various steps of power that can be produced at optimal load of movers. In this study, an evaluation method for optimal arrangement of movers was investigated when an IPS warship is projected. The two factors are utilized for the quantitative analysis which are the weight of system as the fighting power and the fuel consumption per year as the economic feasibility. And also the ways for arrangement of system were studied according to existence of small diesel generator. The evaluation method that decides the optimization level is based on the DEA(Data Envelopment Analysis)

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.2
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• pp.137-145
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• 1998

In this paper, we propose a tube-hole center detection vision algorithm verifying the position of a tele-controlled robot and providing visual information for increasing reliability and efficiency in the diagnosis of steam generator (SG) tubes in nuclear power plant. A tele-controlled robot plays a role in carrying the probe used in inspecting the integrity of SG tubes. Thus accurately locating a tele-controlled robot on the desired tube-hole center is important issue for reliability of inspection. To do this work, we have to find the tube-hole center locations from the input image. At first, we apply the three-class segmentation method modified for this application. WE extract minimum bounding rectangles (MBRs) in the theresholded binary image. Second, for discriminating between MBR by tube and MBR by noise, we introduce the MBR rejection rules as knowledge-based rule set. MBRs are divided into the very dark region MBRs and the very bright region MBRs. In order to describe the region of complete tube-hole, the MBRs need a process of pairing each other. We then can find the tube-hole center from the paired MBR. For more accurately finding the tube-hole center in several sequential images, the centers of some frames need to be averaged. We tested the performance of our method using hundreds of real images.

• KSCI Review
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• v.8 no.2
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• pp.33-42
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• 2001

The purpose of this study was to help retrieve and assess only what learner wants. The multiple-choice and short-answer types were selected. and a sort of a question bank was organized in consideration of the degree of difficulty and frequency of being questioned in such a way to have a discriminating power. For item retrieval the stored information was converted into XML data, instead of simply searching information from database. and that data were retrieved through Xpath. And it's designed to show the retrieval output by using XML on browser. Concerning item evaluation. evaluation items were produced by inputting the degree of difficulty and frequency of being questioned of the subject and unit learner wants. and then by inputting the number of individual item type. The learning outcome was offered in real time to learner. and learner could repeatedly drill what they gave a wrong answer.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.754-759
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• 2007

This study exploits the data discriminating capability of silhouette statistics, which combines wavelet-based vertical energy threshold technique for the purpose of extracting damage-sensitive features and clustering signals of the same class. This threshold technique allows to first obtain a suitable subset of the extracted or modified features of our data, i.e., good predictor sets should contain features that are strongly correlated to the characteristics of the data without considering the classification method used, although each of these features should be as uncorrelated with each other as possible. The silhouette statistics have been used to assess the quality of clustering by measuring how well an object is assigned to its corresponding cluster. We use this concept for the discriminant power function used in this paper. The simulation results of damage detection in a truss structure show that the approach proposed in this study can be successfully applied for locating both open- and breathing-type damage even in the presence of a considerable amount of process and measurement noise.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1252-1252
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• 2001

The aim of this study was to evaluate the possibility to characterize and classify waxes applied on some type of cheeses to obtain good stability during handling and transportation. Generally, waxes are obtained from the petrochemical industry, nowadays there is the possibility to also use biodegradable waxes produced from microorganisms. Preliminary studies were carried out to optimize sample presentation in NIR analysis, such as melting conditions (influence of temperature) and coat thickness of wax. 12 waxes (biodegradable or not) were analysed by using an InfraAlyzer 500 (Bran+Luebbe). The sample size was performed cutting pieces of 1.5 cm (height) x 1.5 cm (width) x 1.5 mm (thickness), previously melted at 9$0^{\circ}C$. NIR spectra were collected at room temperature, and data were processed by Sesame Software (Bran+Luebbe) to evaluate qualitative differences among samples by cluster analysis. Waxes were gathered on the basis of their origin (petrochemical or microbial). To better understand the significance of the NIRS bands discriminating among waxes, a two-dimensional correlation with FT-IR spectra, collected by a FT-IR/ATR 420 (JASCO) instrument, was made using 2DCORR program (Galactic Industries). On the basis of its classification power, NIRS appears to be a promising tool when used in routine analysis for a qualitative control of raw materials.

• ETRI Journal
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• v.33 no.1
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• pp.99-109
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• 2011

This paper concerns a robust real-time voice activity detection (VAD) approach which is easy to understand and implement. The proposed approach employs several short-term speech/nonspeech discriminating features in a voting paradigm to achieve a reliable performance in different environments. This paper mainly focuses on the performance improvement of a recently proposed approach which uses spectral peak valley difference (SPVD) as a feature for silence detection. The main issue of this paper is to apply a set of features with SPVD to improve the VAD robustness. The proposed approach uses a weighted voting scheme in order to take the discriminative power of the employed feature set into account. The experiments show that the proposed approach is more robust than the baseline approach from different points of view, including channel distortion and threshold selection. The proposed approach is also compared with some other VAD techniques for better confirmation of its achievements. Using the proposed weighted voting approach, the average VAD performance is increased to 89.29% for 5 different noise types and 8 SNR levels. The resulting performance is 13.79% higher than the approach based only on SPVD and even 2.25% higher than the not-weighted voting scheme.

• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.167-186
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• 2006

The h-index, also called as Hirsch-index, is a new tool for measuring research outputs by citations. This h-index is not only easy to calculate, but also robust enough to handle various citation data. After its suggestion by Hirsch in 2005, many researchers applied the h-index to their own areas, and some others tried to improve the weak points of the h- index such as low discriminating power. Firstly, several of these efforts are reviewed in the present article, and then novel indexes are suggested to measure research outputs by citations more fairly and reasonably. Calculating these indexes on both artificial data and real data showed that the newly suggested indexes in this article can replace the h-index and its variants.

• Journal of IKEEE
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• v.5 no.2 s.9
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• pp.211-220
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• 2001

This paper proposes a 2-D texture segmentation algorithm which is in close analogy to amplitude demodulation in communication systems. First, we show that it is theoretically possible to segment a multitexture image using an ideal filter followed by an amplitude demodulation block. However, in practice, the Gabor filter is used instead of the ideal filter because it has many desirable properties and especially it gives optimum space-bandwidth product. Our algorithm recovers all the texture regions containing the sinusoid with frequency to which the Gabor filter is tuned. We have demonstrated the discriminating power of our method in using a synthetic multitexture image. It is clear mathematically and easy to implement. Our method can be a good alternative to avoid many problems encountered in classifying the feature vectors in feature-based texture segmentation approaches.

• Journal of Families and Better Life
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• v.4 no.2
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• pp.89-101
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• 1986

This study sought to investigate the presence and characteristics of postulated variables(involvement & empathy) that may moderate the need for overt conflict - resolving behavior when husbands and wives disagree on a certain purchasing subdecision and that may explain husband - wife decision - making patterns. For the above purpose, the analyses of this study are based on response of 180 husbands and wives(90 couples) to questions concerning 11 subdecisions of house and sofa-set purchasing decisions. The results are summarized as follows; 1) Income, education, and wives job do not significantly differenciate the levels of involvement and empathy except that education does the levels of wives involvement and empathy and that wives job does the levels of husbands involvement. 2) Husbands and wives indicate significantly different levels of involvement and empathy on most subdecisions. i. e., wives regard all subdecisions importantly. and on 3 subdecisions of joint decision - making pattern, they have the higher consideration for their husband's preferences. 3) Incongruency in husband - wife responses to the questions of decision - making patterns are moderate. 4) Husbands and wives involvement / empathy discriminate well the patterns of decision - making on various subdecisions within 2 product classes. Wives empathy accounts for much discriminating power in both instances. Thus, the need to add these involvement and empathy variables to models of family decision - making is sugguested.