• Korean Journal of Food Science and Technology
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• v.30 no.5
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• pp.1222-1228
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• 1998

Stress will induce various changes in human metabolism. The remarkable phenomenon of these changes is increased energy metabolism that can induce many reactive oxygen species (ROS) production. ROS can peroxidize cellular macromolecules including lipid and protein. The object of this study was to investigate that stress may induce cellular damage by producing ROS and that Rooibos tea can protect cells against reactive oxygen species by immobilization stress in SD rat. The stress group significantly increased in 5-hydroxyindole acetic acid (5-HIAA), one of the stress hormone. Rooibos tea treatment had no effects on 5-HIAA contents, but body weight of Rooibos tea treated rat more increased than that of only the stress group. It was suggested that Rooibos tea colud not affect stress response itself, but protect against the another mechanism. We thought that the oxidative damage was caused by increased energy metabolism. Protein degradation level and lipid peroxide formation on index of oxidative damage significantly increased in the stress group. But the stress-induced activity change could not be observed in antioxidative enzymes such as superoxide dismutase, glutathione peroxidase and glutathione reductase. But the catalase activity of the brain significantly was inhibited by the stress. From these results, it was suggested that the immobilization stress induce the brain oxidative damage. However the oxidative damage was inhibited by feeding Rooibos tea containing various antioxidants, such as polyphenol, flavonoid and so on. Therefore, Rooibos tea have the protective effects against the stress caused by the ROS mediated cellular damage.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.471-478
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• 2016

The purpose of this study is to analyse the effect of 12-weeks of combined training on body composition and basic physical strength of obese female college students. The research object was composed of 12 obese female college students of D University, who learned the purpose of this research enough and wrote the consent form of voluntary participation, who have no medical history and currently no special disease, and no experience in regular exercise. They underwent body composition inspection, left right grasping power which is the basic physical strength, back muscle strength, flexibility, rapidity, muscle endurance, and the researcher performed descriptive statistics to calculate the average standard deviation, and analyzed to verify difference between groups by using paired t-test. With statistical significance level p<.05, the results are as follows. Obese female college students showed meaningful differences in weight, skeletal muscles, body fat volume and left right grasping power, back muscle strength, rapidity(p<.05) - flexibility and muscle endurance(p>.05).

• Journal of Digital Convergence
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• v.16 no.2
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• pp.117-126
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• 2018

The threat to information security is growing globally. To this, organizations are increasing the weight of adapting and operating the more specialized information security policy and system. Information security requires participation from the employees who execute the security system and policy, and to increase the level of organization's internal security, requires organization's systematic support to improve employees' information security compliance intention. This research finds the mechanism for improving employee's information security compliance intention by applying justice theory and goal setting theory in information security. We use structural equation modeling to verify the research hypothesis, and conducted a survey on the employees of organization with information security policy. In other words, this research performs verification of the research model based hypothesis which claims that security policy goal setting has positive influence on employee's level of security related justice recognition, and claims that justice has positive influence on compliance intention. The object of study is the employees of the organization that adapts information security policy, and 383 valid samples were collected via survey. Structural equation modeling was performed to verify the research hypothesis. The result shows that security policy goal factor (goal difficulty, goal specificity) improves employee's security related justice recognition, and that security related justice (distribution, process, and information justice) has positive influence on compliance intention. The result suggests the strategic approach directions for improving employees' compliance intention on organization's security policy.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.587-595
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• 2014

This research aimed at analyzing the influence of complex-exercise on diabetes outbreak prediction rate, body composition and vascular compliance in obese smokers and suggesting effective exercise program for obese smokers' healthy life. The research object was composed of the 20 employees, obese smokers in their age of 40s, of T company, which is the subcontractor of H company in D Metropolitan City, who learned the purpose of this research enough and wrote the consent form of voluntary participation, who have no medical history and currently no special disease, as well as no experience in regular exercise. The researcher conducted an inspection on diabetes outbreak prediction rate and body composition, vascular compliance, also, implemented descriptive statistics to calculate the average and standard deviation before the test and after implementing 12 weeks' complex-exercise program, and verification on the difference between before after the test was analyzed by using Paired t-test. With statistical significance level p<.05, the research results are as follows. after participating in 12 weeks' complex-exercise program, diabetes outbreak prediction rate, weight, body fat percentage, skeletal muscle mass, abdominal fat rate and vascular compliance showed statistically meaningful level of change in upper extremities(right hand, left hand), nether extremities(right foot, left foot) p.<05.

• The Journal of the Acoustical Society of Korea
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• v.42 no.6
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• pp.544-551
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• 2023

Speech enhancement used to improve the perceptual quality and intelligibility of noise speech has been studied as a method using a complex-valued spectrum that can improve both magnitude and phase in a method using a magnitude spectrum. In this paper, a study was conducted on how to apply attention mechanism to complex-valued spectrum-based speech enhancement systems to further improve the intelligibility and quality of noise speech. The attention is performed based on additive attention and allows the attention weight to be calculated in consideration of the complex-valued spectrum. In addition, the global average pooling was used to consider the importance of the feature map. Complex-valued spectrum-based speech enhancement was performed based on the Deep Complex U-Net (DCUNET) model, and additive attention was conducted based on the proposed method in the Attention U-Net model. The results of the experiments on noise speech in a living room environment showed that the proposed method is improved performance over the baseline model according to evaluation metrics such as Source to Distortion Ratio (SDR), Perceptual Evaluation of Speech Quality (PESQ), and Short Time Object Intelligence (STOI), and consistently improved performance across various background noise environments and low Signal-to-Noise Ratio (SNR) conditions. Through this, the proposed speech enhancement system demonstrated its effectiveness in improving the intelligibility and quality of noisy speech.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.5
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• pp.219-224
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• 2015

In this paper, the designed fish robots DOMI ver1.0 is researched and development for aquarium underwater robot. The presented fish robot consists of the head, 1'st stage body, 2nd stage body and tail, which is connected two point driving joints. The model of the robot fish is analysis to maximize the momentum of the robot fish and the body of the robot is designed through the analysis of the biological fish swimming. Also, Lighthill was applied to the kinematics analysis of robot fish swimming algorithms, we are applied to the approximate method of the streamer model that utilizes techniques mimic the biological fish. The swimming robot has two operating mode such as manual and autonomous operation modes. In manual mode the fish robot is operated to using the RF transceiver, and in autonomous mode the robot is controlled by microprocessor board that is consist PSD sensor for the object recognition and avoidance. In order to the submerged and emerged, the robot has the bladder device in a head portion. The robot gravity center weight is transferred to a one-axis sliding and it is possible to the submerged and emerged of DOMI robot by the breath unit. It was verified by the performance test of this design robot DOMI ver1.0. It was confirmed that excellent performance, such as driving force, durability and water resistance through the underwater field test.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.9-17
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• 2020

In this paper, we proposed an SNS review analysis method based on deep learning for user tendency. The existing SNS review analysis method has a problem that does not reflect a variety of opinions on various interests because most are processed based on the highest weight. To solve this problem, the proposed method is to extract the user's personal tendency from the SNS review for food. It performs classification using the YOLOv3 model, and after performing a sentiment analysis through the BiLSTM model, it extracts various personal tendencies through a set algorithm. Experiments showed that the performance of Top-1 accuracy 88.61% and Top-5 90.13% for the YOLOv3 model, and 90.99% accuracy for the BiLSTM model. Also, it was shown that diversity of the individual tendencies in the SNS review classification through the heat map. In the future, it is expected to extract personal tendencies from various fields and be used for customized service or marketing.

• Korean Journal of Construction Engineering and Management
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• v.10 no.1
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• pp.156-166
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• 2009

Residential land development projects are tending upwards recently. However, an indiscreet residential land development has tended to damage environment by destroying existing green lands and trees of target lands and generating many cut slopes with transformation of its topography. There are Prior Environmental Review(PER) for district designation and Environmental Impact Assessment(EIA) before approval on development plans. PER is implemented after developing a residential land development plan and EIA is implemented after completing a detail design. As the result, many of residential land development projects are passive to reduce potential environmental problems on the designated sites. Object of this study is to construct an evaluation system on alternatives in the early step of site designation for implementing residential land development projects with environment-friendly and sustainable way. For this, alternative evaluation model is constructed by using Fuzzy Inference and Analytic Hierarchy Process(AHP) method based on Environmental Evaluation Factors of residential land development project, which are proposed in the precedent research. If a decision maker evaluates environment damage by ten-point method, the point is transformed Environmental Performance(EP) by Fuzzy Inference, and then, applying weight that is already calculated by AHP method, Total Environmental Performance(TEP) is calculated. After all, an alternative with the highest TEP is selected as the best one. Using this evaluation system, more than two alternatives of residential land development project site, which can hold location appropriateness in the early under undecided land use plan, can be evaluated quantitatively. As environmental damages, which can be generated by implementing a residential land development project, can be detected in the early step, environmental damages can be removed or reduced at the source.

• Land and Housing Review
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• v.4 no.3
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• pp.225-234
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• 2013

The indices to choose the object countries for developing overseas industrial park were developed and applied in this paper. The results are showing as follows. First, the Korean enterprises are branched out into total 128 countries as of the first quarter of 2010, and the 13 asian countries including China, Vietnam, Japan, and Hongkong shows the majority of precedence 20 countries among the reported during 1980-2010. Second, the 3 steps of selecting the principal region to branch out, establishing assessment indices and criteria, and choosing strategical target counties were developed to choose the countries for developing overseas industrial park. The 38 of 128 countries were selected where the GDP per capita is lower than Korea, and the local reports of incorporation during 2007-2010 are more than 10 times. Then, the 10 countries were excluded where the minimum wages during 2008-2009 are similar to Korean ($815/month). Consequently, the 28 countries including China, Vietnam, and Cambodia etc. were selected as the major target regions. Third, the indices to choose countries for developing overseas industrial park are classified into 5 categories-investment condition, labor market flexibility, potential market demand, population, changing rate of the reported number of manufacturing industry, and detailed indices for each category were selected, then the weight were given with the consideration of importance. Finally, Indonesia, Mongolia, and Uzbekistan were selected as the strategical target counties where acquire the high score in labor market flexibility and investment condition, relatively undeveloped, and friendly to Korea.

• The KIPS Transactions:PartD
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• v.15D no.3
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• pp.399-410
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• 2008

This paper suggests a new retrieval method using weighted vector sum to resolve a problem of traditional location-based retrieval method, nearest neighbor (NN) query, and NN query using direction. The proposed method filters out data with the radius, and then the remained retrieval area is filtered by a direction information compounded of a user's moving direction, a pre-fixed interesting direction, and a pre-fixed retrieval angle. The moving direction is computed from a vector or a weighted vector sum of several vectors using a weight to adopt several cases. The retrieval angle can be set from traditional $360^{\circ}$ to any degree you want. The retrieval data for this method can be a still and moving image recorded shooting location, and also several type of media like text, web, picture offering to customer with location of company or resort. The suggested method guarantees more accurate retrieval than traditional location-based retrieval methods because that the method selects data within the radius and then removes data of useless areas like passed areas or an area of different direction. Moreover, this method is more flexible and includes the direction based NN.