• Journal of the Computational Structural Engineering Institute of Korea
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• v.28 no.4
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• pp.393-400
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• 2015

This study proposes a method to create and combine a superstructure module by parametric modeling, in order to improve the production efficiency of information model for modular steel bridge superstructure that can be used in planning, design and construction phase. Compound classification was performed in order to derive elements to apply the parametric modeling, and according to assembly condition, the classified elements were grouped into 13 types. In addition, three assembly conditions were derived for production of stable superstructure through combination of superstructure module, which is a production unit for modular steel bridge factory. Parameter that reflects assembly condition in compound shape when producing superstructure module through parametric modeling was deducted. Superstructure module compounds were produced according to type and parameter using interface generation based on Building Information Model(BIM) software that was developed in this study. The superstructure module produced reflects information to combine into a superstructure. To verify this, information model based on Industry Foundation Classes(IFC) was built and confirmed the application in production of superstructure by identifying the reflected property information.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.467-473
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• 2014

The purpose of this study is to monitor the physiological changes by measuring EEG, blood pressure, heart rate, etc after applying progressive relaxation technique to university archery players in order to verify the effect of progressive relaxation through respiration, and, ultimately, improve an athlete's archery performance. This study chose 13 female archery athletes. The EEG, blood pressure, and heart rate of the athletes were measured before applying Jacobson's progressive relaxation technique for 12 weeks, during which the EEG, blood pressure, and heart rate were measured 3 times a week after 15 to 20 minutes of training before every measurement. We used the SPSS18.0 program for technical analysis to check the general features of the athletes and carried out the paired t-test to examine the changes made to the EEG, blood pressure, and heart rate of a single test group before and after the experiment. All statistical level of significance was maintained at ${\alpha}=0.5$. The results are as follows. First, after 12 weeks of appliance, between the targets' relative ${\alpha}$ wave and ${\beta}$ wave, the relative ${\alpha}$ wave showed a statistically significant increase while the relative ${\beta}$ wave showed no changes. Second, after 12 weeks of appliance, in terms of blood pressure, the systolic pressure showed no changes while the diastolic pressure showed a statistically significant change. Third, there was no statistically significant change to the heart rate. In conclusion, progressive relaxation through breathing has a positive effect on the archery athletes.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.307-313
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• 2012

This paper proposes a hand-eye laser range finder (LRF) based welding plane recognition method for autonomous robotic welding. The robot welding is the process of joining a metal piece and the welding plane along the welding path predefined by the shape of the metal piece. Thus, for successful robotic welding, the position and direction of the welding plane should be exactly detected. If the detected position and direction of the plane is not accurate, the autonomous robotic welding should fail. For precise recognition of the welding plane, a line on the plane is detected by the LRF. For obtaining the line on the plane, the Hough transform is applied to the obtained data from the LRF. Since the Hough transform is based on the voting method, the sensor noise can be reduced. Two lines on the plane are obtained before and after rotation of the robot joint, and then the direction of the plane is calculated by the cross product of two direction vectors of two lines. For verifying the feasibility of the proposed method, the simulation with the robot simulator, RoboticsLab developed by Simlab Co. Ltd., is carried out.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.217-241
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• 2015

One of the challenges in online community management is what level of perceived anonymity can be granted to encourage active participation from members while discouraging unhealthy activities. Few studies developed a scheme of anonymity and investigated how different levels of anonymity influence community activities. This study develops a classification scheme of anonymity encompassing the following three different levels : (1) real name(no anonymity), (2) nickname (partial anonymity), and (3) random assignment of a temporal ID (complete anonymity). Then, it examines how different levels of anonymity influence trust and perceived risk, which in turn affect virtual team performance. A series of laboratory experiments were performed, manipulating the levels of anonymity, in the context of well-structured communities that allow prior interactions among community members. The data was collected from 364 laboratory participants and analyzed using ANOVA and PLS. The results indicate that the difference of anonymity between (2) and (3) had not be significant and the only (1) could not guarantee the anonymity. The impact of anonymity on trust and perceived risk could not be significant in this situation. These findings could contribute to make more beneficial member identification strategies in online community practice.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.201-215
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• 2015

Recently advanced security threats have increasingly occurred, and the necessity and importance of Information Security has been growing with the advent of the era of convergence beyond information-oriented age. Most domestic studies in the field of occupational classification of Information Security have only focused on technology-oriented occupations. Relatively little research has been carried out on the occupational classification in the view of convergence environment. Therefore, in this paper we gave a definition of Information Security occupations, classified them and draw required capabilities by occupations in order to design the occupational classification system of Information Security and the required capabilities for future convergence environment by analyzing the previous studies. We also reclassified the occupational classification and required capabilities by occupations, and verified the validity of them based on National Initiative for Cybersecurity Education's the occupational classification system of Information Security considering the future convertgence environment. It is expected that the results of this study will be employed as base data for manpower demand and supply and improvement of working conditions in the future convergence environments. In the future study we will build standardized instruction methods which provide occupational capabilities by using the required capabilities by occupations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1195-1202
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• 2016

Recently, a lot of studies that applying the big data technology to various fields, are progressing actively. In the maritime domain, the big data is the meaningful information which makes and gathers by the navigation and communication equipment from the many ships on the ocean. Also, importance of the maritime safety is emphasized, because maritime accidents are rising with increasing of maritime traffic. To support prevention of maritime accidents, in this paper, we developed a vessel traffic display and statistic system based on AIS messages from the many vessels of maritime. Also, to verify the developed system, we conducted tests for vessel track display function and vessel traffic statistic function based on two test scenarios. Therefore, we verified the effectiveness of the developed system for vessel tracks display, abnormal navigation patterns, checking failure of AIS equipments and maritime traffic statistic analyses.

• Analytical Science and Technology
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• v.29 no.1
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• pp.43-48
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• 2016

A variety of Y-STR analysis kits have been developed and used in the forensic field. Prior to the forensic application of a new kit, laboratory validation and sensitivity tests are essential processes in selecting suitable alternatives and for assuring that standard operating procedures are followed. In this paper, we have performed a sensitivity study of a new commercial kit, the Yfiler^® PLUS PCR Amplification Kit (Yfiler plus kit, released in 2014) by comparing it with the AmpF/STR^® Yfiler^TM PCR Amplification Kit (Yfiler kit, released in 2004). The Yfiler plus kit includes the 17 Y-STR loci of the Yfiler kit and has been supplemented with 10 new Y-STR loci. First, we analyzed the sensitivity difference between the two kits using commercial control DNA 2800M and 007. In addition, we compared the detection rate between the two kits from the 16 selected forensic casework samples of less than 0.5 ng concentrations. The results show that the sensitivity and detection rate of the Yfiler plus kit are higher than the corresponding rates of the Yfiler kit. In addition, we were able to obtain more Y-STR profiles with the use of the new kit. Thus, we suggest that Yfiler plus kit is a more effective forensic tool to detect Y-STR profiles from forensic casework samples of low concentrations.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.113-120
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• 2016

Technology based would-be entrepreneurs have constantly increased as coming with increasing demands for technology based startup. However, technology based startup need to go through throne field in the preparation and launching process. This paper help technology based would be entrepreneurs recognizing and pivoting all potential fatal flaws covering entrepreneurs to BM with strategies by providing self check-up lists. This paper have developed all check list based upon the previous literature reviews about technology commercialization with carrying Focused Group Interview with mentor and investor involved in the early stage of venture growth. In particular, this paper have applied these tools over 104 participants(would-be entrepreneur and entrepreneurs in the early startup) attending in Hanbat Startup Item Validation Program and Startup Leading University program. This paper developed the mega categories of list as follows: Entrepreneurship, technology and patent, target customer and market, product, BM and strategy. It also developed 17 different concept of components and 58 specific sub-lists under maga list. The research results of paper will provide solid foundation of communication with participants about checking up their state of preparation for startup as applying to mentoring for would-be entrepreneurs and to entrepreneurship education.

• Therapeutic Science for Rehabilitation
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• v.9 no.2
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• pp.87-98
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• 2020

Objective : The purpose of this study was to verify the effectiveness of home-visit occupational therapy in stroke patients. Methods : Two patients with stroke who applied for home-based occupational therapy services at a health center in Seoul were enrolled. The home-visit occupational therapy program evaluates the subject's daily living, task performance, cognitive, and emotional functions, sets occupational therapy goals and plans interventions based on a client-centered approach. Occupational therapy programs consisted of 12 sessions based on the client's major problems. Results : COPM scores improved in both cases, there was an improvement in COPM scores, and in Case 2 there were improvements in MBI and K-MMSE scores. There was also an improvement in KGDS scores in Case 1. Conclusion : Home-visit occupational therapy was found to be effective in improving daily activities, cognition, and mental function of stroke patients. During home and community integration, continuous and continuous rehabilitation services need to be activated from institutional rehabilitation to community-based rehabilitation. Active home-visit occupational therapy is needed to promote physical, cognitive, mental and social access in stroke patients discharged from hospitals.

• Journal of the Korean Geosynthetics Society
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• v.18 no.4
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• pp.107-114
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• 2019

In this paper, the P-wave multiple detection system for the fast and accurate earthquake early warning nearby the epicenter was developed. The developed systems were installed in five selected public buildings for the validation. During the monitoring, a magnitude 2.3 earthquake occurred in Pohang on 26 September 2019. P-wave initial detection algorithms were operated in three out of four systems installed in Pohang area and recorded as seismic events. At the nearest station, 5.5 km from the epicenter, P-wave signal was detected 1.2 seconds after the earthquake, and S-wave was reached 1.02 seconds after the P-wave reached, providing some alarm time. The maximum accelerations recorded in three different stations were 6.28 gal, 6.1 gal, and 5.3 gal, respectively. The alarm algorithm did not work, due to the high threshold of the maximum ground acceleration (25.1 gal) to operate it. If continuous monitoring and analysis are to be carried out in the future, the developed system could use a highly effective earthquake warning system suitable for the domestic situation.