• Korean Journal of Fisheries and Aquatic Sciences
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• v.51 no.5
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• pp.469-476
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• 2018

The purpose of this study was to collect basic data that could be used in the manufacture of two kinds of canned oyster Crassostrea gigas. The steamed oyster was prepared by shucking after boiling for 6 min at $105^{\circ}C$ and then washing and dewatering. The roasted oyster was prepared by baking steamed oyster at $140^{\circ}C$ for 20 min. The manufacturing methods of canned seasoned boiled oyster and canned seasoned roasted oyster were as follows. The boiled or roasted oyster (50 g) was added to a can (RR-90) along with a mixture of seasoning sauce 40 and then seamed using a vacuum seamer under 20 cm Hg after pre-exhausting at $90^{\circ}C$ for 20 min. The two kinds of canned oyster products produced under sterilization of Fo 12 min were tested for cultured bacteria, external appearance, proximate composition, pH, VBN (Volatile basic nitrogen), TBA (Thiobarbiuric aicd) value, amino-N, salinity, color value sensory evaluation, etc. Results showed that the canned seasoned roasted oyster had higher overall acceptability than the canned seasoned boiled oyster. The reason for this was judged to be that the process of roasting at $140^{\circ}C$ for 20 min influenced the sensory evaluation.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7B
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• pp.695-705
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• 2002

In this paper, we propose a simple open loop transmit diversity (TD) scheme for the wideband code division multiple access (W-CDMA) systems in Rician multipath fading channels such as rural area or satellite channels where line-of-sight (LOS) paths are in presence. The proposed scheme does not require any pre-processing of transmit data, resulting in simpler structure as compared to conventional closed loop transmit adaptive array (TxAA) and open loop space-time transmit diversity (STTD). We analytically derive the probability density function of signal-to-noise ratio at the Rake receiver output and the uncoded bit error rate performance of the proposed scheme. Extensive simulation is Performed to verify the analytical performance of the proposed scheme under typical Rician multipath fading channel environments. Moreover, comparative results with the conventional TxAA and STTD are also provided. Simulation results show that the proposed scheme shows slightly better performance than the conventional open loop STTD under the channels with very weak LOS components, however, it significantly outperforms the STTD under the channels with dominant LOS components, and achieves a close performance of ideal closed loop TxAA.

• PNF and Movement
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• v.14 no.2
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• pp.67-74
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• 2016

Purpose: The purpose of this study was to prove the effects of coordinative locomotion training (CLT) on walking speed, walking endurance, and balance for incomplete spinal cord injury patients. Methods: Ten subjects were randomly assigned to the CLT group (n = 5) and the treadmill (TM) group (n = 5). The CLT group performed PNF pattern exercise using the motions of the sprinter and skater for 30 minutes, while the TM group performed using a treadmill for 30 minutes. Both groups performed these therapeutic interventions for five days per week, for a period of four weeks. A 10 meter walking test, Berg Balance Scale (BBS), and 6 meter walking test were used for the assessment of gait speed, balance, and gait endurance. The SPSS Ver. 18.0 statistical program was used for data processing. A Wilcoxon signed rank test was used for the comparison of pre- and post-intervention performance and a Mann-Whitney test was used for comparison between the groups. The significance level for the statistical inspection was set at 0.05. Results: Both groups showed significant improvements in the 10 meter walking test, Berg Balance Scale, and 6 meter walking test (P < 0.05). Conclusion: CLT had an effect on the improvement of walking speed, walking endurance, and the balance of incomplete spinal cord injury patients. Thus, we suggest that CLT is a therapeutic intervention for incomplete spinal cord injury patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.05a
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• pp.205-208
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• 2002

When establishing the submarine optical fiber table between international and domestic, marine survey in advance it grasps the submarine geological features which is accurate and a depth of water condition. And the route which is safe for selecting and submarine optical fiber cable laying it is a work which secures an ease one location. If also, the PLGR the submarine of optical fiber table root the sea contamination material (rope, wire and net) it removes in advance and if the submarine of the optical fiber cable ease it does to arrive safely. And it is a work the Plough and ROV laying work hour laying work efficiency improvement and laying equipment it will be able to protect. So, This paper presents the monitoring system of ship information management and operation for marine survey and PLGR work in submarine optical fiber table construction enterprise. In order to achieve these purpose, overall serial multi-port communication modulo of configuration, realtime processing for management and operation of receiving data, realtime graph and a printout are described.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.239-240
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• 2018

In order to improve the productivity and continuous competitiveness of container terminals, it is necessary to make efforts to reduce operational losses at each terminal. As a study on this, it is necessary to study the non-productivity movement based on the shuffle(re-handling) in the yard analysis is needed. In this study, non - productive activity factors were classified by prefecture, transporter, shippers and terminal based on operation data of domestic A terminal. As a result, 14.7% is due to the causes of shipping companies and shipping companies, and in addition, 85.3% of the respondents indicated that they were responsible for the terminal operation. In order to minimize the above factors, it is necessary to reduce the non-productive activity through rapid information processing and pre-information acquisition from shipping companies, and minimize the influence of bulge-out through installation of concrete blocks in the equipment field.

• The Journal of Korean Association of Computer Education
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• v.18 no.2
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• pp.47-57
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• 2015

In this study, the experiment was carried out on an experiment group of 24 and a control group of 25 in order to investigate the effect of flipped learning on the motivation and academic achievement of elementary students. Research tools such as flipped learning program, motivation questionnaire and academic achievement questionnaire were used. Study procedures consisted of pre-test, experimental process, and post-test in order and the data processing was performed by independent sample t-test and paired sample t-test. The results show that flipped learning has a positive effect on learning motivation and academic achievement. For instance, flipped learning influenced on improvement of motivation elements such as attention and confidence. Also flipped learning has a more effect on low-level students than high-level students in academic achievement.

• Journal of the Korean Society of Food Culture
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• v.32 no.6
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• pp.513-526
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• 2017

The purpose of this study is to identify the guideline's contents for dietitians' knowledge, attitudes, and practices (KAP) for the sustainability management at school foodservice. The contents for the guideline were determined by the Delphi technique of two rounds. The Delphi panels of experts were consisted of sixteen school dietitians and fourteen professors of food and nutrition with more than 10 years of experiences by convenience sampling method. Based on the literature, knowledge, attitudes, and practices required for dieticians were classified into menu management, procurement, food production, facility and energy management, waste management, personnel management, and nutrition education. Data were analyzed using SPSS for Windows version 24 and EXCEL to calculate descriptive statistics, content validity ratio, degree of agreement, and degree of convergence. As a result of the second round, the validity scores of 'knows eco-friendly certification standards and labeling systems (4.53 point)' in the knowledge category, and 'tries to purchase local agricultural products (4.87 point)' in the attitude category were the highest. From that round in the practice category, the validity scores of 'plan menus for students' health', 'purchases eco-friendly food', and 'conserves energy in pre-processing and cooking process' were the highest with 4.73 point. Applying the criteria for securing the validity of the contents, the contents of 25 knowledge items, 20 attitude items and 30 practice items were confirmed. The findings of the study can be used to develop the guideline for dietitians required for the sustainability management.

• The KIPS Transactions:PartD
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• v.8D no.6
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• pp.673-680
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• 2001

When the developers develop the software, the cost and time of the software development can be reduced by using blocks that are implemented previously. We call these implemented blocks components. In the early stage of Web-based Instruction, it didn't gain preference in spite of it's benefit of convenience. The main reason is, I think, the lack of generality at the education system which eventually results in unsatisfactory facilities compared with the requirement of teachers and students. And the early systems don't make good use of the plenty data in distributed environment, and don't show so good reliablity due to lack of systematic design and development. In this paper, we suggest WBI developing technology using the concept of WBSE. WBI developing is consist of component of pre-developed education software, integration of component using its reusability, and production of more requirement-satisfactory education software.

• Smart Media Journal
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• v.5 no.3
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• pp.35-41
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• 2016

In this paper, we propose hand-gesture signal recognition based on EPS(Electronic Potential Sensor) using Deep learning model. Extracted signals which from Electronic field based sensor, EPS have much of the noise, so it must remove in pre-processing. After the noise are removed with filter using frequency feature, the signals are reconstructed with dimensional transformation to overcome limit which have just one-dimension feature with voltage value for using convolution operation. Then, the reconstructed signal data is finally classified and recognized using multiple learning layers model based on deep learning. Since the statistical model based on probability is sensitive to initial parameters, the result can change after training in modeling phase. Deep learning model can overcome this problem because of several layers in training phase. In experiment, we used two different deep learning structures, Convolutional neural networks and Recurrent Neural Network and compared with statistical model algorithm with four kinds of gestures. The recognition result of method using convolutional neural network is better than other algorithms in EPS gesture signal recognition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.11
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• pp.2137-2142
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• 2016

The electrical current generated by heart creates not only electric potential but also a magnetic field. In this study, the signals obtained magnetocardiogram(MCG) using 61 channel superconducting quantum interference device(SQUID) system, and the clinical significance of various feature parameters has been developed MCG. Neural network algorithm was used to perform the classification of ischemic heart disease. The MCG signal was obtained to facilitate the extraction of parameters through a process of pre-processing. The data used to research the normal group 10 and ischemic heart disease group 10 with visible signs of stable angina patients. The available clinical indicators were extracted by characteristic point, characteristic interval parameter, and amplitude ratio parameter. The extracted parameters are determined to analysis the significance and clinical parameters were defined. It is possible to classify ischemic heart disease using the MCG feature parameters as a neural network input.