• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.113-119
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• 2021

With the increasing pressure of international competition, urban agglomeration cooperation and innovation had become an important means of regional economic development. This study analyzed the spatial characteristics of the Urban Cooperative Innovation Network in Guangdong-Hong Kong-Macao Greater Bay Area, found out the dynamic evolution law of innovation, provided suggestions for policy management departments, and effectively planned the industrial layout. According to the data of the State Intellectual Property Office of China, this study researched invention patents from 2005 to 2019. This paper constructed the urban cooperative innovation network, and took 11 cities in the bay area as the research objects, and used social network analysis to study the spatial structure and dynamic evolution of the urban innovation network. Every indicator reflected the urban cooperative innovation, but they all showed a certain decline in 2008-2010. And it is inferred that the innovation network space of each city will be "obvious fist advantages, significant spillover effect and weakening role of Hong Kong and Macao". This paper divided urban cooperative innovation of Guangdong-Hong Kong-Macao Greater Bay Area into three stages. Summing up the characteristics of each stage is helpful to recognize the changes of urban cooperative innovation and to do a good job in industrial layout planning.

• The Journal of Korea Robotics Society
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• v.16 no.4
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• pp.291-298
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• 2021

In this study, we present a multi-sensor module for snake robot searching survivors in a narrow space. To this end, we integrated five sensor systems by considering the opinions of the first responders: a gas sensor to detect CO₂ gases from the exhalation of survivors, a CMOS camera to provide the image of survivors, an IR camera to see in the dark & smoky environment, two microphones to detect the voice of survivors, and an IMU to recognize the approximate location and direction of the robot and survivors. Furthermore, we integrated a speaker into the sensor module system to provide a communication channel between the first responders and survivors. To integrated all these mechatronics systems in a small, compact snake head, we optimized the positions of the sensors and designed a stacked structure for the whole system. We also developed a user-friendly GUI to show the information from the proposed sensor systems visually. Experimental results verified the searching function of the proposed sensor module system.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.796-801
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• 1994

Measuring noise, sound quality or acoustical comfort presents a difficult task for the acoustic engineer. Sound and noise are ultimately jugded by human beings acting as analysers. Regulations for determining noise levels are based on A-weighted SPL measurement performed with only one microphone. This method of measurement is usually specified when determining whether the ear can be physically damaged. Such a simple measurement procedure is not able to determine annoyance of sound events or sound quality in general. For some years investigations with binaural measurement analysis technique have shown new possibilities for the objective determination of sound quality. By using Artificial Head technology /1/, /2/ in conjunction with psychoacoustic evaluation algorithms - and taking into account binaural signal processing of human hearing, considerable progress regarding the analysis of sounds has been made. Because sound events often arise in a complex way, direct conclusions about components subjectively judged to be annoying with regard to their causes and transmission paths, can be drawn in a limited way only. A new procedure, complementing binaural measurement technology combined with mulit-channel measuements of acceleration sensor signals has been developed. This involves correlating signals influencing sound quality, analyzed by means of human hearing, with signals form different acceleration sensors fixed at different positions of the sound source. Now it is possible to recognize the source and the transmission way of those signals which have an influence on the annoyance of sound.

• Fashion & Textile Research Journal
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• v.25 no.4
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• pp.472-480
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• 2023

This study investigated correlations among interpersonal problems, body dissatisfaction, and makeup behavior among college students. The results provide basic data which are helpful for students to build healthy interpersonal relationships and suggest a direction for beauty care behavior. This study derived the following results: A close correlation was identified between international problems and body dissatisfaction and body dissatisfaction and makeup behavior. In other words, college students suffering from interpersonal problems also experienced body dissatisfaction. In addition, those with body dissatisfaction have made efforts to overcome such problem through makeup behavior. This could be viewed as meaning that the greater the body dissatisfaction, the more active college students are in makeup management behavior, and the intention to resolve their physical dissatisfaction through makeup management behavior was included. Therefore, society or colleges need to recognize the necessity of counseling or treatment programs for college students suffering from interpersonal problems or body dissatisfaction and help them enter into society through diverse programs. Additionally, appearance management programs, such as the aforementioned makeup behavior, that can make them satisfied with their body should be developed. Ultimately, diverse suggestions that can help students improve their self-esteem and interpersonal relationships and enhance sociality through such social efforts should be formulated.

• Korean Medical Education Review
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• v.25 no.1
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• pp.35-44
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• 2023

The purpose of this study was to promote an enhanced understanding of burnout among medical school professors by reviewing the literature on burnout in domestic and international medical professors, and to seek measures to prevent burnout. To this end, the general concept of burnout and the physical, cognitive, psychological, social, and behavioral symptoms that result from burnout were explained. In addition, the causes and results of high burnout among medical school professors were summarized in terms of demographic characteristics and the duties of educators, researchers, and physicians, and measures to prevent burnout in medical school professors were divided into individual and organizational levels. In order to prevent burnout among medical school professors, sensitive interest in themselves and self-reflection are required at the personal level. At the organizational level, it is necessary to regularly monitor burnout among medical school professors, improve systems, encourage participation in the policy-making process, and develop customized education programs. At the social level, it is necessary to recognize that burnout of medical school professors is a social problem, for which further research is needed. Therefore, in order for medical school professors not to burn out, there must be appropriate interactions among the individuals, organizations, and society, and the consistent attention should be paid to this issue.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.213-219
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• 2009

This study is that internal members of social welfare are divided into the first organization directly controlling and managing subjects and the second organization supporting and assisting the first one, and both organizations are analyzed through the empirical study about cooperation degree on the basis of interaction degree related with cooperation relationship from interorganizational relationship theories. That is because organic cooperation between both sides is essential element to effectively approach the ultimate purpose which subjects and related people need because of the social welfare business. This result suggests that both sides broadly recognize the need about cooperation between management systems and that it must come first to establish values and behaviors about the cooperation among the persons in charge on the organizational internal level for organic cooperation between organizations.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.127-134
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• 2009

Recently, much research have been done on ubiquitous computing models in advanced countries as well as in Korea. Ubiquitous computing is defined as a computing environment that isn't bounded by time and space. Different kinds of computers are embedded in artifacts, devices, and environment, thus people can be connected everywhere and every time. To recognize user's emotion, facial expression, temperature, humidity, weather, and lightning factors are used for building ontology. Ontology Web Language (OWL) is adopted to implement ontology and Jena is used as an emotional inference engine. The context-awareness service infrastructure suggested in this research can be divided into several modules by their functions.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.143-152
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• 2022

This paper examines the relationship between investor sentiment and the risk of a stock price crash at the firm level. Our dataset includes 131 firms listed on the Saudi stock exchange (Tadawul) from 2011 to 2019, as well as 953 firm-year observations. To evaluate crash risk, we employ two distinct proxies and propose an index for measuring firm-level sentiment which we use for the first time in our study. The average turnover rate, price-earnings ratio, and overnight return are the three sentiment proxies we utilize in our index. Our findings show that high levels of investor emotion increase managers' proclivity to withhold unfavorable news from investors, which aggravates the risk of a stock price crash. We undertake cross-sectional regressions by sector to ensure the robustness of our findings, and our findings are confirmed. After accounting for any endogeneity issues with the GMM technique, the results remain the same. Furthermore, we analyze the liquidity effect by dividing our sample into subsamples with better and worse liquidity and find that firms with worse liquidity have a considerably greater positive impact of investor mood. Overall, our findings help investors and regulators recognize the significance of this downside risk and how to manage it in the stock market.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.333-343
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• 2022

Humans are facing many environmental challenges. Climate change, water pollution, global warming, and hazardous waste disposal are all issues that many countries throughout the world are dealing with. People's psychology and consumer behavior are significantly affected by these challenges, particularly generation Z, which is immediately affected by environmental changes. Young people have a strong sense of curiosity and have access to readily updated knowledge. Today's youth, in particular, live a civilized and responsible lifestyle. As a result, people recognize the significance of their own consumption behavior in affecting environmental change and are increasingly replacing them with green, ecologically friendly products as a fantastic method to mitigate their harmful consequences. In this research, there are four factors related to the young generation and environmental awareness that affect green consumption intention: perceived environmental responsibility, green knowledge, green attitude, and green product value. The goal of this study is to look into how detrimental environmental changes affect Generation Z's green consumption habits. This study used primary data from over 1000 people in the age group, which was processed using the AMOS 20 software. All the characteristics described above had an impact on Generation Z's green consumption intentions, according to the findings.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.971-974
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• 2020

Infants express their physical and emotional needs to the outside world mainly through crying. However, most of parents find it challenging to understand the reason behind their babies' cries. Failure to correctly understand the cause of a baby' cry and take appropriate actions can affect the cognitive and motor development of newborns undergoing rapid brain development. In this paper, we propose an infant cry recognition system based on deep transfer learning to help parents identify crying babies' needs the same way a specialist would. The proposed system works by transforming the waveform of the cry signal into log-mel spectrogram, then uses the VGGish model pre-trained on AudioSet to extract a 128-dimensional feature vector from the spectrogram. Finally, a softmax function is used to classify the extracted feature vector and recognize the corresponding type of cry. The experimental results show that our method achieves a good performance exceeding 0.96 in precision and recall, and f1-score.