• Industry Promotion Research
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• v.8 no.4
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• pp.177-186
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• 2023

Modern society is operated based on the internet, wireless networks, and digital devices to the extent that it is called a digital society. In particular, as most of financial transactions, information movement, and commercial activities are based online, various social problems and side effects related to this are increasing rapidly. Representative examples include industrial espionage activities and leakage of industrial technology, and social problems such as illegal goods trade such as drugs using online and online gambling are increasing to a serious level. These digital-based social problems cannot be solved only by the activities and capabilities of judicial institutions such as police and prosecutors. Now that the private investigation market is open, active intervention using them is necessary. To this end, it is necessary to actively cultivate private investigator's ability to investigate and collect evidence in relation to digital social and criminal problems. In addition, each private investigation education institution or association should actively invest and research this.

• Advances in materials Research
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• v.12 no.4
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• pp.263-271
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• 2023

In this study, AA1060/Alumina composites were fabricated by combined stir casting and accumulative press bonding (APB). The APB process was repeated up to six press bonding steps at 300Ċ. As the novelty, potential dynamic polarization in 3.5Wt% NaCl solution was used to study the corrosion properties of these composites. The corrosion behavior of these samples was compared and studied with that of the annealed aluminum alloy 1060 and versus the number of APB steps. So, as a result of enhancing influence on the number of APB process, this experimental investigation showed a significant enhancement in the main electrochemical parameters and the inert character of the Alumina particles. Together with Reducing the active zones of the material surfaces could delay the corrosion process. Also, at higher number of steps, the corrosion resistance of composites improved. The sample produced after six number of steps had a low corrosion density in comparison with high corrosion density of annealed specimens. Also, the scanning electron microscopy (SEM), was used to study the corrosion surface of samples.

• Journal of Korean Dental Hygiene Science
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• v.1 no.2
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• pp.73-81
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• 2018

The purpose of this study was to examine the relationship between the autonomy of dental hygiene students after clinical practice and their satisfaction with the clinical practice in an effort to determine how to manage courses in need of practice and how to provide education and guidance on clinical practice. A survey was conducted on the students in a three-year college in Gyeonggi Province, and the data from 295 respondents were analyzed. The findings of the study were as follows: 1. As for autonomy, the subjects got a mean of 3.60 in respect for others, and 3.40 in respect for themselves. 2. In regard to satisfaction with clinical practice, they gave the highest score of 3.58 to the content of the clinical practice, and they gave the lowest score of 3.09 to practice hours. 3. They gave higher scores to autonomy of clinical practice when their awareness of dental hygienist at the time of college admission and after experiencing the clinical practice was better and when they were more satisfied with their major. 4. They gave the highest scores to satisfaction with the clinical practice when they voluntarily chose the department of dental hygiene in terms of motivation for major selection, when their awareness of dental hygiene at the time of college admission and after experiencing the clinical practice was better and when they were more satisfied with their major. 5. The students who gave higher scores to autonomy of the clinical practice were more satisfied with the practice.

• Clinics in Shoulder and Elbow
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• v.26 no.4
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• pp.416-422
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• 2023

Background: Advancements in airport screening measures in response to 9/11 have resulted in increased false alarm rates for patients with orthopedic and metal implants. With the implementation of millimeter-wave scanning technology, it is important to assess the changes in airport screening experiences of patients who underwent total shoulder arthroplasty (TSA). Methods: Here, 197 patients with prior anatomic and reverse TSA completed between 2013 and 2020 responded to a questionnaire regarding their experiences with airport travel screening after their operation. Of these patients, 86 (44%) stated that they had traveled by plane, while 111 (56%) had not. The questionnaire addressed several measures including the number of domestic and international flights following the operation, number of false alarm screenings by the millimeter-wave scanner, patient body habitus, and presence of additional metal implants. Results: A total of 53 patients (62%) responded "yes" to false screening alarms due to shoulder arthroplasty. The odds of a false screening alarm for patients with other metal implants was 5.87 times that of a false screening alarm for patients with no other metal implants (P<0.1). Of a reported 662 flights, 303 (45.8%) resulted in false screening alarms. Greater body mass index was not significantly lower in patients who experienced false screening alarms (P=0.30). Conclusions: Patients with anatomic and reverse TSA trigger false alarms with millimeter-wave scanners during airport screening at rates consistent with prior reports following 9/11. Patient education on the possibility of false alarms during airport screening is important until improvements in implant identification are made. Level of evidence: IV.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.1-24
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• 2021

The Korean government is currently expanding the business startup incubator support program and funds for new ventures with innovative technology in order to spread the second venture boom. However, despite the fact that entrepreneurial education and mentoring that entrepreneurs should have are important parts for the sustainable growth of the startup, some companies selected for government support programs are reluctant to participate in programs such as entrepreneurship education and mentoring for the sole purpose of funding commercialization. This research addressed the effects of entrepreneurial alertness with opportunity awareness as its medium and the small business mentoring service along with the number of times the mentoring has taken place, on the corporate performances. The results of empirical research are as follow: the first one is that scanning-search and evaluation-judgment can influence a company's performance (financial, non-financial) through opportunity recognition, with the exception of association-connection, which is a sub-factor of entrepreneurial alertness. Secondly, it was found to affect a company's financial and non-financial performance through opportunity recognition for financing mentoring, technical support mentoring, and management support mentoring. Thirdly, it was found that the number of mentoring also affects the financial and non-financial performance of a company through opportunity recognition. The implications of this study are that it should be revisited that program managers consider rooms that do not violate the startup founder's strategic decision-making opportunities when designing and operating the program as entrepreneurial alertness sub-factor association-connection does not affect corporate performance through opportunity recognition. This study also emphasizes the need for customized mentoring to meet the outcome goals of each startup, as it has been empirically clarified that the mentoring provided to the startup by the government's support is important. The contribution of this research is that entrepreneurial alertness and opportunity recognition that are treated as important components in research for entrepreneurship, and the factors of mentoring and mentoring frequency that are recognized as important elements in the practical aspect of startup business are clarified theoretically and empirically as an influential factor in corporate performance. And this study also provide a rationale for the startup business support agency supplying mentoring.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4601-4610
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• 2014

Photography has been a way of recording a range of images throughout the previous 160 years since its birth in 1839. It has also included the observations and records on the subjects, which is almost same as reality in its outward appearance, various looks of a city and architecture in the daily lives at these places. These pictures provide archaeological and geographical information beyond time and space as well as expressing cultural and artistic images using the creative senses. This thesis analyzes the images of a city and architecture as various angles along with development process of the photograph. The purpose is to examine what viewpoints, methods and concepts have been used to observe the city and architecture. The study will show that photography is a means of artistic expression and a means of indirect understanding of a city and its architecture by early modern photography of the 19th Century.

• Applied Chemistry for Engineering
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• v.26 no.3
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• pp.294-305
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• 2015

We have quantitatively analyzed 1,294 effective patents on "Quantitative Analysis of Patents Concerning Cathode Active Materials for Lithium-Ion Secondary Batteries Based on Layer Structure" from Korea, USA, Japan, Europe and PCT (WO). The importance of technological and patent values of the aforesaid patents were evaluated by the factors shown in Table 1, and 104 major and 20 core patents were selected in compliance with the evaluation from the patents. The technological flow chart over time regarding the selected major and core patents was prepared, and the applying time and development process of patents, as well as the position of core patents were established on the time scale investigated. Finally, the differentiation plans and patent avoidance strategies for the next technology development, in comparison with the technologies of patents already applied and registered, were suggested.

• The Korean Journal of Emergency Medical Services
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• v.11 no.3
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• pp.81-92
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• 2007

The main purpose of this study was to survey baby-sitters who have experienced safety accidents of children ; the causes of safety accidents, wounded parts of the body caused by safety accidents and how to handle emergency situation. The research participants consisted of 31 baby-sitters who have experienced safety accidents of children and have been participating in Baby-Sitter Programs at S university, in Suwon Kyunggi Province. The data were collected from June 13th to July 4th, 2007 using open questionnaires on semi-structure. The data were analyzed using a SPSS PC+ statistical program. The results of this study were as follows ; First, according to the general demographics, it has indicated that 32.2% of baby-sitters who participated in this research are mostly the age group of between 41 and 50years old. And 48.3% of baby-sitters are graduated from high school. In addition, 83.9% of baby-sitters go married and 41.9% of them have only one child. Second, in terms of experiences about baby-sitting, 51.6% of baby-sitters mostly do their jobs in the afternoon. They usually cared 1 or 2years old babies in the afternoon time. 48.3% of baby-sitters experienced baby-sitting for less than 6months. And the financial support was the main reason why they decided to do baby-sitting jobs. Third, the causes of safety accidents while caring children, included 'falling down(22.6%)', 'baby-walker(19.4%)'. Also, it was found that 61.3% of children who had accidents were male. When safety accidents occurred, the baby-sitters had been doing 'feeding milk(29.1%)', 'going out(16.1%)' and 'self-care(16.1%)'. Also, it has shown that the accidents mostly occurred in the afternoon(64.5%). Fourth, the parts of the injuries in safety accidents, predominantly involved the parts of arms(38.7%), legs(25.8%) and head and neck(12.8%). In conclusion, this research was intended to provide the basic data in safety accidents of children who were cared by baby-sitters. In the further research, it is suggested that studying for safety accidents of children and safety education programs for baby-sitters should be necessary.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.4984-4993
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• 2012

This study was initiated with the need of studies to promote learning and use of collaboration skills that learners should have in collaborative learning in CSCL. The researcher carried out research on 96 students taking the course of 'educational methods and educational technology' in K collage to take a look at the impact of prior training on collaboration in CSCL and interaction of types of collaborative scripts. To answer the first research question, the scores of each group's chatting in collaborative learning process and messages represented in the process of task performance based on collaborative skills were measured and analyzed. In addition, to answer the second research question, the scores of each group's shared mental model formulation based on relevant evaluation standards were analyzed. This study results, First, there was no significant difference in the acquisition of collaboration skills caused by interaction of prior training on collaboration and collaboration skills and collaborative scripts. However, it turned out that types of collaborative scripts give significant impacts on acquisition of collaboration skills. Second, there was also no significant difference between prior training on collaboration and the formulation of shared mental model by the interaction of collaborative scripts. However, it is showed that types of collaborative scripts have significant impacts on the formation of shared mental model.