• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.456-467
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• 2019

The purpose of this study was to investigate the effects of social support on self-esteem, depression, and stress of migrant women for marriage and to use them as basic data for developing depression and stress intervention strategies. This study provided correlation and regression analyses of 126 migrant women for marriage. The results showed that the level of social support was significantly and positively correlated to the migrant women's income level (p = .001 <.01) and self-esteem (r = 0.569, p <.001). However, there was a positive correlation among self-esteem, stress, and depression. Reviewing autocorrelations of the three dependent variables and the multi-collinearity between the independent variables, the autocorrelations of self-esteem, stress, and depression were 2.452, 2.418, and 2.278, respectively, indicating the absence of any autocorrelation problem. The regression analysis showed social support (p < 0.001) had a significant and positive relationship with self-esteem. The higher the social support (β = 0.472) was, the higher the self-esteem was. Based on the study results, it is expected that developing various programs of social support for migrant women for marriage is likely to reduce their depression and stress and increase the stability of family and social life.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.399-406
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• 2020

The R.O.K Army has developed and operated TM to maintain the operation of weapons systems since its establishment. As more modern weapons systems were developed, the more efficient operation was limited by a large quantity. As a countermeasure, the DAPA has operated the IETM using the KAIS TOOL since 2003. However, 16 years later, they were shunned by operators for software instability and other reasons. Based on the results of an operational test and evaluation team of the Army headquarters, the analysis results of software instability, limited compatibility and integration, limited real-time updates, etc. were analyzed. It was confirmed that KAIS development tools were urgently needed. Therefore, in order to solve this current problem for the Army IETM, the first phase of this paper focused on improving the IETM by maintaining the application present, the second of the Army Electronic Technology manual, phase going to propose improvement plans for operational test and evaluation by lining 11 elements of comprehensive logistics support with an electronic technology code.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.527-536
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• 2017

With the recent development of smart grid industry, the necessity for efficient EMS(Energy Management System) has been increased. In particular, in order to reduce electric load and energy cost, sophisticated electric load forecasting and efficient smart grid operation strategy are required. In this paper, for more accurate electric load forecasting, we extend the data collected at demand time into high time resolution and construct an artificial neural network-based forecasting model appropriate for the high time resolution data. Furthermore, to improve the accuracy of electric load forecasting, time series data of sequence form are transformed into continuous data of two-dimensional space to solve that problem that machine learning methods cannot reflect the periodicity of time series data. In addition, to consider external factors such as temperature and humidity in accordance with the time resolution, we estimate their value at the time resolution using linear interpolation method. Finally, we apply the PCA(Principal Component Analysis) algorithm to the feature vector composed of external factors to remove data which have little correlation with the power data. Finally, we perform the evaluation of our model through 5-fold cross-validation. The results show that forecasting based on higher time resolution improve the accuracy and the best error rate of 3.71% was achieved at the 3-min resolution.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.9
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• pp.592-607
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• 2006

This paper proposes a technique to select processors and hardware IPs and to map the tasks into the selected processing elements, aming to achieve high performance with minimal system cost when multitask applications with real-time constraints are run on a multicore SoC. Such technique is called to 'Hardware-Software Cosynthesis Technique'. A cosynthesis technique was already presented in our early work [1] where we divide the complex cosynthesis problem into three subproblems and conquer each subproblem separately: selection of appropriate processing components, mapping and scheduling of function blocks to the selected processing component, and schedulability analysis. Despite good features, our previous technique has a serious limitation that a task monopolizes the entire system resource to get the minimum schedule length. But in general we may obtain higher performance in multitask multicore system if independent multiple tasks are running concurrently on different processor cores. In this paper, we present two mapping techniques, task mapping avoidance technique(TMA) and task mapping pinning technique(TMP), which are applicable for general cases with diverse operating policies in a multicore environment. We could obtain significant performance improvement for a multimedia real-time application, multi-channel Digital Video Recorder system and for randomly generated multitask graphs obtained from the related works.

• Journal of KIISE:Information Networking
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• v.32 no.1
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• pp.89-99
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• 2005

Advances of Internet and rC accelerate distribution and sharing of information, which make P2P(Peer-to-Peer) computing paradigm appear P2P computing Paradigm is the computing paradigm that shares computing resources and services between users directly. A fundamental problem that confronts Peer-to-Peer applications is the efficient location of the node that stoles a desired item. P2P systems treat the majority of their components as equivalent. This purist philosophy is useful from an academic standpoint, since it simplifies algorithmic analysis. In reality, however, some peers are more equal than others. We propose the P2P protocol considering differences of capabilities of computers, which is ignored in previous researches. And we examine the possibility and applications of the protocol. Simulating the Magic Square, we estimate the performances of the protocol with the number of hop and network round time. Finally, we analyze the performance of the protocol with the numerical formula. We call our p2p protocol the Magic Square. Although the numbers that magic square contains have no meaning, the sum of the numbers in magic square is same in each row, column, and main diagonal. The design goals of our p2p protocol are similar query response time and query path length between request peer and response peer, although the network information stored in each peer is not important.

• International Journal of Fluid Machinery and Systems
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• v.10 no.1
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• pp.40-46
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• 2017

Small valves including ball valves, gate valves and butterfly valves have been adopted in the fields of steam power generation, petrochemical industry, carriers, and oil tankers. Butterfly valves have normally been applied to fields where in narrow places installing the existing valves such as gate valves and ball valves have proven difficult due to the surrounding area and the heavier of these valves. Butterfly valves are used to control the mass flow of the piping system under low pressure by rotating the circular disk installed inside. The butterfly valve is benefitted by having simpler structure in which the flow is controlled by rotating the disc circular plate along the center axis, whereas the weight of the valve is light compared to the gate valve and ball valve above-mentioned, as there is no additional bracket supporting the valve body. The manufacturing company needs to acquire the performance and life test equipment, in the case of adopting the improving factors to detect leakage and damage on the seat of the valve disc. However, small companies, which are manufacturing the industrial valves, normally sell their products without the life test, which is the reliability test and environment test, because of financial and manpower problems. Furthermore, the failure mode analysis of the products failed in the field is likewise problematic as there is no system collecting the failure data on sites for analyzing the failures of valves. The analyzing and researching process is not arranged systematically because of the financial problem. Therefore this study firstly tried to obtain information about the failure data from the sites, analyzed the failure mode based on the field data collected from the customers, and then obtained field data using measuring equipment. Secondly, we designed and manufactured the performance and life test equipment which also have the real time monitoring system with the naked eye for the butterfly valves. The concept of this equipment can also be adopted by other valves, such as the ball valve, gate valve, and various others. It can be applied to variously sized valves, ranging from 25 mm to large sized valves exceeding 3000 mm. Finally, this study carries out the life test with square wave pressure, using performance and life test equipment. The performance found out that the failures from the real time monitoring system were good. The results of this study can be expanded to the other valves like ball valves, gate valves, and control valves to find out the failure mode using the real time monitoring system for durability and performance tests.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.1
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• pp.56-63
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• 2016

In this study, we introduce a design of Fuzzy RBFNNs-based digit recognition system using the incremental-PCA in order to recognize the handwritten digits. The Principal Component Analysis (PCA) is a widely-adopted dimensional reduction algorithm, but it needs high computing overhead for feature extraction in case of using high dimensional images or a large amount of training data. To alleviate such problem, the incremental-PCA is proposed for the computationally efficient processing as well as the incremental learning of high dimensional data in the feature extraction stage. The architecture of Fuzzy Radial Basis Function Neural Networks (RBFNN) consists of three functional modules such as condition, conclusion, and inference part. In the condition part, the input space is partitioned with the use of fuzzy clustering realized by means of the Fuzzy C-Means (FCM) algorithm. Also, it is used instead of gaussian function to consider the characteristic of input data. In the conclusion part, connection weights are used as the extended diverse types in polynomial expression such as constant, linear, quadratic and modified quadratic. Experimental results conducted on the benchmarking MNIST handwritten digit database demonstrate the effectiveness and efficiency of the proposed digit recognition system when compared with other studies.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.504-510
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• 2009

Recently, personalized-adaptive services became the center of interest in the world. However the services about music are not widely diffused out. That is because the analyzing of music information is more difficult than analyzing of text information. In this paper, we propose a music recommendation system which provides personalized services. The system keeps a user's listening list and analyzes it to select pieces of music similar to the user's preference. For analysis, the system extracts properties from the sound wave of music and the time when the user listens to music. Based on the properties, a piece of music is mapped into a point in the property space and the time is converted into the weight of the point. At this time, if we select and analyze the group which is selected by user frequently, we can understand user's taste. However, it is not easy to predict how many groups are formed. To solve this problem, we apply the K-means clustering algorithm to the weighted points. We modified the K-means algorithm so that the number of clusters is dynamically changed. This manner limits a diameter so that we can apply this algorithm effectively when we know the range of data. By this algorithm we can find the center of each group and recommend the similar music with the group. We also consider the time when music is released. When recommending, the system selects pieces of music which is close to and released contemporarily with the user's preference. We perform experiments with one hundred pieces of music. The result shows that our proposed algorithm is effective.

• Korean Journal of Community Nutrition
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• v.6 no.4
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• pp.604-616
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• 2001

This study was to investigate weight-control experience disorder and nutrient intake of college student attending web class via the internet. The subject were 1200 college students(392 male, 808 female) attending web class concerned with nutrition and weight control. This cross-sectional survey was conducted by self-administered questionnaire and data were analyzed by Students t-test and $\chi$$^2$-test. Nutrient intake collected from 3 day-recalls were analyzed by the Computer Aided Nutritional Analysis Program. Mean height, weight and RBW(relative body weight) of the male college students were 174.7 cm, 68.0 kg and 101.2%, respectively. Mean height, weight and RBW of the female college students were 162.3% cm, 52.7% kg and 95.3% respectively. Among the male college students, low weight were 1.0%, underweight were 12.8%, overweight were 12.5%, obese were 6.9% by RBW standard. Among the female college students, low weight were 5.1%, underweight 30.2%, overweight were 5.2%, obese were 1.5% by RBW standard. Percentages of weight control experience were 21.7% and 67.0% in the male and female college students, respectively. According to RBW, 22.4% of the weight control experience group were low weight or underweight in the female college students but none of weight control experience group were low weight or underweight in the male college students. Percentage of eating disorder were 6.8%(2.8%, male, 8.7% female) in the college students. Among the female college students, most nutrient intakes were significantly lower in the weight-control experienced group compared to the weight-control nonexperienced group. Among the male college students, there was a tendency that the intake of nutrients, except carbohydrate, calcium and vitamin A was higher in the eating disorder group compared to the non-eating disorder group. However, among the female college students, there was a tendency that the intake of nutrients, except calcium and thiamin was lower in the eating disorder group compared to the non-eating disorder group. Therefore, nutrition education via the internet is required for college students to know proper weight loss methods, desirable eating habits and eating disorder problem well.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.24 no.3
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• pp.179-188
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• 2012

Performance analyses of vertical breakwaters were conducted for fictitiously designed breakwaters for various water depths to analyze the influence of climate change on the structures. The performance-based design method considering sea level rise and wave height increase due to climate change was used for the performance analysis. One of the problems of the performance-based design method is the large calculation time of wave transformation. To overcome this problem, the SWAN model combined with artificial neural network was used. The significant wave height and principal wave direction at the breakwater site are quickly calculated by using a trained neural network with inputs of deepwater significant wave height and principal wave direction, and tidal level. In general, structural stability becomes low due to climate change impacts, but the trend of stability is different depending on water depth. Outside surf zone, the influence of wave height increase becomes more significant, while that of sea level rise becomes negligible, as water depth increases. Inside surf zone, the influence of both wave height increase and sea level rise diminishes as water depth decreases, but the influence of wave height increase is greater than that of sea level rise. Reinforcement and maintenance policies for vertical breakwaters should be established with consideration of these results.