• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.141-157
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• 2023

Start-ups are the driving force of economic development and play an important role in improving national competitiveness. The country's start-up support policies are increasing every year, but indicators that do not challenge them and do not consider future start-ups can predict employment reduction and unemployment can increase further. You can. The increase in the number of young people doing nothing is causing economic hardship and neglect of future precious human resources, which calls for a more realistic national entrepreneurship policy. Accordingly, this study sought to identify bias and environmental factors in order to reveal factors that influence the will to start a business among potential entrepreneurs in Korea. For this purpose, descriptive statistical analysis was performed using SPSS on a sample of 227 responses from the general public who are potential entrepreneurs interested in starting a business. As a result, prejudice decreased the will to start a business and increased fear of failure. On the other hand, the entrepreneur's environmental factors reduced the fear of failure and increased the will to start a business. Lastly, fear of failure was found to play a mediating role between the two independent variables and the will to start a business. The results of this study showed that prejudice was a negative factor in the will to start a business, and the environment was a positive factor. These research results suggest that in order to revitalize entrepreneurship, positive environmental factors that can provide entrepreneurs' correct recognition and support for entrepreneurship are necessary.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.212-221
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• 2006

The purposes of this study were to examine the characteristics of teacher help in small group Thinking Science(TS) activities and analyze the way students respond to teacher help. For this study, twenty-four 5th grade and twenty-four 7th grade students were selected, to undertake TS activities. Out of the 8 activities students participated in, the verbal interactions in activity 4 and 6, by students in four small groups, which incorporated relatively active argumentation was analyzed. Students' cognitive level was identified through a science reasoning task and the students were grouped heterogeneously according to their cognitive level. This study showed that teachers predominately used simple confirmation questions in preference to metacognitive question. Also, teacher help varied according to one's personal traits, work experience and degree of activity recognition. It was discovered that when the teacher provided student appropriate metacognitive questions and sufficient feedback, students actively engaged in argumentation. On the other hand, when the teacher asked simple confirmation questions and interfered in the activity, students did not participate in argumentation actively.

• Journal of the Korean Chemical Society
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• v.68 no.1
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• pp.40-53
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• 2024

The study investigates the number and proportion of questions in each area by examining Chemistry I questions from the College Scholastic Ability Test from 2019 to 2022. The analysis was conducted using a three-dimensional framework that included key concepts in chemistry, behavioral domains in chemistry, and behavioral domains in mathematics. The results indicated that Chemistry I questions on the College Scholastic Ability Test had a relatively even distribution of questions across core individual topics, but highly difficult questions were predominantly biased toward stoichiometry. In terms of the behavioral domains in chemistry, there was a remarkably low proportion of questions related to problem recognition and hypothesis establishment, as well as designing research and implementing research. Conversely, highly difficult questions were more inclined towards drawing conclusions and evaluations. Regarding behavioral domains in mathematics, there was a limited number of questions addressing heuristic reasoning and deductive reasoning. On the other hand, high-difficulty questions favored internal problem-solving ability. Additionally, certain key concepts in chemistry and behavioral domains in chemistry exhibited a strong correlation with specific behavioral domains in mathematics. This characteristic was particularly evident in questions that encompassed higher-dimensional behavioral domains in mathematics, which students tend to find challenging.

• Journal of Korea Port Economic Association
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• v.40 no.2
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• pp.53-64
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• 2024

ESG management has garnered significant recognition as a crucial concern across all global industries. Within the logistics sector, there is a growing awareness of the importance of ESG management. However, active engagement in ESG practices remains predominantly confined to large corporations, leaving small and medium-sized logistics companies lagging in their comprehension and implementation of ESG principles. Previous studies have consistently underscored the necessity of establishing ESG management guidelines. Furthermore, there has been a call to determine the relative weights assigned to various ESG implementation evaluation criteria, taking into account the distinctive attributes of each category of logistics company. This study endeavors to ascertain the weightings of ESG implementation evaluation items for different types of logistics companies by employing the Analytic Hierarchy Process (AHP) methodology. The framework of evaluation is based on the evaluation items outlined in prior research, particularly focusing on ESG management guidelines tailored for small and medium-sized logistics companies. The findings of the analysis reveal distinct prioritizations across different sectors within the logistics industry. For maritime logistics companies, the environment emerges as the foremost concern, followed by society, information disclosure, and governance. Conversely, land transportation companies prioritize society, followed by governance, environment, and information disclosure. In the warehousing sector, environment takes precedence, followed by society, information disclosure, and governance. Comprehensive logistics firms, on the other hand, prioritize the environment, followed by information disclosure, society, and governance. Such guidelines are pertinent for regulatory bodies and industry stakeholders seeking to assess ESG practices within these enterprises. Moreover, this research contributes to the body of knowledge available to domestic small and medium-sized logistics companies, aiding them in effectively navigating and implementing ESG management principles.

• Journal of Preventive Medicine and Public Health
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• v.33 no.3
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• pp.334-342
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• 2000

Objectives . This study was conducted in order to investigate the degree of recognition, acceptability, and altitude towards day surgery of patients who were hospitalized with diseases that were candidates for day surgery; in order to analyze the average length of stay for treatment of the ailments; and to analyze the percentage of patients who could be discharged on the same day after the surgery ,using the post-anesthesia discharge scoring system. Methods : Data was collected between February 1 and March 31, 1999 from 353 patients who received surgery for cataract, adenoid hypertrophy, inguinal hernia, strabismus, ptosis, cholelithiasis, hemorrhoid, or anal fistula, at a general hospital in Daegu city. The patients were interviewed and surveyed by a post-anesthesia discharge scoring system(PADS) in order to collect data on patient condition such as vital signs, activity and mental status, pain, nausea and vomiting, surgical bleeding, intake and output after the surgery. Results : Among the 353 patients, 52.7% were after of the day surgery and 52.7% were interested in day surgery. Of the respondents, 43.1% said 'my ailment was not serious and the surgery was simple' and 30.4% said 'according to my condition rest at home was desirable' as the reasons for wanting day surgery Alternatively, 56.5% of those declining day surgery said the 'uncertainty of staying home' was the reason. The greatest concern in discharging within 24 hours after surgery was a post-op emergency situation. On the other hand, the shortened hospitalization was the largest advantage of day surgery with 39.1% responding this way, followed by the savings in hospitalization costs (25.8%) and emotional stability (13.7%). The majority of those surveyed (47.6%) believed that discharge should be determined within 1-2 days after the surgery. The average hospital stay was 3.1 days for dischargeable ailments. Pain (45.6%), nausea and vomiting (10.5%), and headache (7.9%) were the common symptoms following surgery. The percentage of patients who were able to be discharged within 24 hours after surgery revealed 95.2% were dischargeable after approximately 3 hours, 99.2% dischargeable after 12 hours, and 100% dischargeable after 24 hours. Conclusions : According to the PADS score, the cataract extract and strabismus correction patients were eligible for day surgery and the further evaluation concerning the reason for delayed recovery of the other diseases is needed.

• Journal of Korean Home Economics Education Association
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• v.18 no.3 s.41
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• pp.81-95
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• 2006

The purpose of this study was to evaluate appropriateness of clothing & textiles as educational contents in practical arts or technology home economics in the 7th curriculum. The factors of appropriateness were the amounts of learning, the degrees of understanding, interest and requirement on the educational content recognized by elementary, middle and high school students. The data collected from evaluation sheets were analyzed by frequency analysis, t-test, crossing analysis using SPSSWIN 12.0 program. Results were as follows; First. more than 50% of elementary, middle and high school students were recognized the amounts of tearing of clothing & textiles proper. But boy students of middle school recognized 'making clothes' in practice course too heavy. Second. It were from easy to difficult that the degrees of understanding on the educational contents of clothing & textiles recognized by elementary school students. Elementary school students understood both 'making cushion' and 'sewing machine theory and practice' difficult. Middle school students understood 'basic sewing for repairing clothes' and 'making clothes' difficult whereas high school students thought 'making pillow' and 'making bag' difficult. All students understood practice courses hard. Third, the degrees of interest showed from 'interest' level to 'not interest' level in case of elementary school students whereas 'interest' level in middle school students and 'common' in high school students. Fourth, the requirements of elementary, middle and high school students were in 'necessary' level to 'common' level. Editional contents such as 'learning sewing machine', 'making cushions'. 'making clothes', and 'making pillow-cover and bag' were low in the degrees of requirement. The correlationship between the amount of learning and the each level of understand, interest and requirement of students was indirect. On the other hand, Among the level of understand, interest and requirement were direct in case of high school students.

• Journal of Legislation Research
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• no.53
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• pp.553-591
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• 2017

This article discussed whether so-called 'foreign judgments obtained by fraud' is in breach of public policy provided in Article 217(1)(3) of Civil Procedure Act and, if so, what the specific requirements could be. The summary of the conclusion is as follows. The 'foreign judgments obtained by fraud' is against the municipal procedural public policy and then shall not be recognized. In this regard one more question comes up whether reviewing if 'foreign judgments obtained by fraud' is in breach of the municipal procedural public policy is allowed in consideration of the principle of prohibition of $r{\acute{e}}vision$ au fond. Since the principle is applied entirely in the course of the above reviewing, it is allowed only when it does not breach the principle. The two instances that the reviewing is allowed are where the defendant was not able to produce evidences of fraud during foreign procedures and where the defendant's claim of fraud without evidences was rejected by the foreign court and then evidences of fraud were found after the foreign procedure was completed. On the other hand, the specific requirements for 'foreign judgments obtained by fraud' to be against public policy are following four requirements based on principle of strict interpretation of public policy. (1) plaintiff's intention to fraud, (2) preventing the defendant from being involved in the procedure by fraud or cheating the foreign court using manipulated evidences, (3) the defendant could not present himself in the foreign court procedure due to the plaintiff's extraneous fraud or the foreign court decided wrongly due to intrinsic fraud, and (4) defendant's fundamental procedural rights were breached to the extent that recognizing the effect of foreign judgments was against justice defendant's fundamental procedural rights. These results differ from the Supreme Court 2004. 10. 28. ruling 2002da74213 in many aspects. Most of all, in my opinion there is no need to distinguish between intrinsic fraud and extraneous fraud and reviewing 'foreign judgments obtained by fraud' is not in conflict with the principle of prohibition of $r{\acute{e}}vision$ au fond but the both may coexist. In this regard I expect the variation of the Supreme Court's position and hope to contribute to academia and practitioners.

• International Area Studies Review
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• v.22 no.1
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• pp.215-235
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• 2018

Policy concerns related to raising fertility rates are not only common interests among the OECD countries, but they are also issues of great concern to South Korea whose fertility rate is the lowest in the world. The fertility rate in South Korea continues to decline, even though most of the national budget has been spent on measures to address this and many studies have been conducted on the increase in the fertility rates. In this regard, this study aims to verify the effectiveness of the detailed factors affecting the fertility rate that have been discussed in the previous studies on fertility rates, and to investigate the overall trend toward enhancing the quality of life and increasing the fertility rate through macroscopic and structural studies under the recognition of problems related to the policy approaches through the case studies of the European countries. Toward this end, this study investigated if a high quality of life in advanced countries contributes to the increase in the fertility rate, which country serves as a state model that has a high quality of life and a high fertility rate, and what kind of social and policy environment does the country have with regard to childbirth. The analysis of the OECD Better Life Index (BLI) and CIA fertility rate data showed that the countries whose people enjoy a high quality of life do not necessarily have high fertility rates. In addition, under the recognition that a country with a high quality of life and a high birth rate serves as a state model that South Korea should aim for, the social characteristics of Iceland, Ireland, and New Zealand, which turned out to have both a high quality of life and a high fertility rate, were compared with those of Germany, which showed a high quality of life but a low fertility rate. According to the comparison results, the three countries that were mentioned showed higher awareness of gender equality; therefore, the gender wage gap was small. It was also confirmed that the governments of these countries support various policies that promote both parents sharing the care of their children. In Germany, on the other hand, the gender wage gap was large and the fertility rate was low. In a related move, however, the German government has made active efforts to a paradigm shift toward gender equality. The fertility rate increases when the synergy lies in the relationship between parents and children; therefore, awareness about gender equality should be firmly established both at home and in the labor market. For this reason, the government is required to provide support for the childbirth and rearing environment through appropriate family policies, and exert greater efforts to enhance the effectiveness of the relevant systems rather than simply promoting a system construction. Furthermore, it is necessary to help people in making their own childbearing decisions during the process of creating a better society by changing the national goal from 'raising the fertility rate' to 'creating a healthy society made of happy families'

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.89-106
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• 2022

Recently, the amount of video data collected from smartphones, CCTVs, black boxes, and high-definition cameras has increased rapidly. According to the increasing video data, the requirements for analysis and utilization are increasing. Due to the lack of skilled manpower to analyze videos in many industries, machine learning and artificial intelligence are actively used to assist manpower. In this situation, the demand for various computer vision technologies such as object detection and tracking, action detection, emotion detection, and Re-ID also increased rapidly. However, the object detection and tracking technology has many difficulties that degrade performance, such as re-appearance after the object's departure from the video recording location, and occlusion. Accordingly, action and emotion detection models based on object detection and tracking models also have difficulties in extracting data for each object. In addition, deep learning architectures consist of various models suffer from performance degradation due to bottlenects and lack of optimization. In this study, we propose an video analysis system consists of YOLOv5 based DeepSORT object tracking model, SlowFast based action recognition model, Torchreid based Re-ID model, and AWS Rekognition which is emotion recognition service. Proposed model uses single-linkage hierarchical clustering based Re-ID and some processing method which maximize hardware throughput. It has higher accuracy than the performance of the re-identification model using simple metrics, near real-time processing performance, and prevents tracking failure due to object departure and re-emergence, occlusion, etc. By continuously linking the action and facial emotion detection results of each object to the same object, it is possible to efficiently analyze videos. The re-identification model extracts a feature vector from the bounding box of object image detected by the object tracking model for each frame, and applies the single-linkage hierarchical clustering from the past frame using the extracted feature vectors to identify the same object that failed to track. Through the above process, it is possible to re-track the same object that has failed to tracking in the case of re-appearance or occlusion after leaving the video location. As a result, action and facial emotion detection results of the newly recognized object due to the tracking fails can be linked to those of the object that appeared in the past. On the other hand, as a way to improve processing performance, we introduce Bounding Box Queue by Object and Feature Queue method that can reduce RAM memory requirements while maximizing GPU memory throughput. Also we introduce the IoF(Intersection over Face) algorithm that allows facial emotion recognized through AWS Rekognition to be linked with object tracking information. The academic significance of this study is that the two-stage re-identification model can have real-time performance even in a high-cost environment that performs action and facial emotion detection according to processing techniques without reducing the accuracy by using simple metrics to achieve real-time performance. The practical implication of this study is that in various industrial fields that require action and facial emotion detection but have many difficulties due to the fails in object tracking can analyze videos effectively through proposed model. Proposed model which has high accuracy of retrace and processing performance can be used in various fields such as intelligent monitoring, observation services and behavioral or psychological analysis services where the integration of tracking information and extracted metadata creates greate industrial and business value. In the future, in order to measure the object tracking performance more precisely, there is a need to conduct an experiment using the MOT Challenge dataset, which is data used by many international conferences. We will investigate the problem that the IoF algorithm cannot solve to develop an additional complementary algorithm. In addition, we plan to conduct additional research to apply this model to various fields' dataset related to intelligent video analysis.

• Journal of Intelligence and Information Systems
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• v.18 no.1
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• pp.1-21
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• 2012

In recent years, mobile phone has experienced an extremely fast evolution. It is equipped with high-quality color displays, high resolution cameras, and real-time accelerated 3D graphics. In addition, some other features are includes GPS sensor and Digital Compass, etc. This evolution advent significantly helps the application developers to use the power of smart-phones, to create a rich environment that offers a wide range of services and exciting possibilities. To date mobile AR in outdoor research there are many popular location-based AR services, such Layar and Wikitude. These systems have big limitation the AR contents hardly overlaid on the real target. Another research is context-based AR services using image recognition and tracking. The AR contents are precisely overlaid on the real target. But the real-time performance is restricted by the retrieval time and hardly implement in large scale area. In our work, we exploit to combine advantages of location-based AR with context-based AR. The system can easily find out surrounding landmarks first and then do the recognition and tracking with them. The proposed system mainly consists of two major parts-landmark browsing module and annotation module. In landmark browsing module, user can view an augmented virtual information (information media), such as text, picture and video on their smart-phone viewfinder, when they pointing out their smart-phone to a certain building or landmark. For this, landmark recognition technique is applied in this work. SURF point-based features are used in the matching process due to their robustness. To ensure the image retrieval and matching processes is fast enough for real time tracking, we exploit the contextual device (GPS and digital compass) information. This is necessary to select the nearest and pointed orientation landmarks from the database. The queried image is only matched with this selected data. Therefore, the speed for matching will be significantly increased. Secondly is the annotation module. Instead of viewing only the augmented information media, user can create virtual annotation based on linked data. Having to know a full knowledge about the landmark, are not necessary required. They can simply look for the appropriate topic by searching it with a keyword in linked data. With this, it helps the system to find out target URI in order to generate correct AR contents. On the other hand, in order to recognize target landmarks, images of selected building or landmark are captured from different angle and distance. This procedure looks like a similar processing of building a connection between the real building and the virtual information existed in the Linked Open Data. In our experiments, search range in the database is reduced by clustering images into groups according to their coordinates. A Grid-base clustering method and user location information are used to restrict the retrieval range. Comparing the existed research using cluster and GPS information the retrieval time is around 70~80ms. Experiment results show our approach the retrieval time reduces to around 18~20ms in average. Therefore the totally processing time is reduced from 490~540ms to 438~480ms. The performance improvement will be more obvious when the database growing. It demonstrates the proposed system is efficient and robust in many cases.