• Journal of Korean Library and Information Science Society
• /
• v.50 no.4
• /
• pp.137-158
• /
• 2019

This study aims to develop metadata elements and vocabularies of 'Chosunsibo' issued in Korea during the Japanese colonial era. Despite the vast amount and historical values, newspaper articles in Chosunsibo are still unsearchable and difficult to access. To the end, this study includes as follows: (1) analyzed the DB construction and metadata elements of newspapers issued in Korea during the Japanese colonial, (2) investigated the morphological characteristics and content of 'Chosunsibo', and (3) derived metadata elements, encoding schemes and controlled vocabularies for 'Chosunsibo'. The final draft was verified in three methods: (1) review and revise through data input tests, (2) consulting by a DB expert agency, and (3) drawing up of crosswalks with metadata standards and related cases. The scope of this study is to design the metadata schema of the historical newspaper 'Chosunsibo' and develop a data input system based on that schema.

• The Journal of Fisheries Business Administration
• /
• v.46 no.3
• /
• pp.103-118
• /
• 2015

The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.741-747
• /
• 2022

Fatigue lowers an individual's ability and makes it difficult to perform work. As fatigue accumulates, concentration decreases and thus the possibility of causing a safety accident increases. Awareness of fatigue is subjective, but it is necessary to quantitatively measure the level of fatigue in the actual field. In previous studies, it was proposed to measure the level of fatigue by expert judgment by adding objective indicators such as bio-signal analysis to subjective evaluations such as multidisciplinary fatigue scales. However this method is difficult to evaluate fatigue in real time in daily life. This paper is a study on the fatigue classification model that determines the fatigue level of workers in real time using speech data recorded in the field. Machine learning models such as logistic classification, support vector machine, and random forest are trained using speech data collected in the field. The performance evaluation showed good performance with accuracy of 0.677 to 0.758, of which logistic classification showed the best performance. From the experimental results, it can be seen that it is possible to classify the fatigue level using speech signals.

• Journal of Internet Computing and Services
• /
• v.23 no.6
• /
• pp.1-13
• /
• 2022

As the information and communication environment develops, the environment of military facilities is also development remarkably. In proportion to this, cyber threats are also increasing, and in particular, APT attacks, which are difficult to prevent with existing signature-based cyber defense systems, are frequently targeting military and national infrastructure. It is important to identify attack groups for appropriate response, but it is very difficult to identify them due to the nature of cyber attacks conducted in secret using methods such as anti-forensics. In the past, after an attack was detected, a security expert had to perform high-level analysis for a long time based on the large amount of evidence collected to get a clue about the attack group. To solve this problem, in this paper, we proposed an automation technique that can classify an attack group within a short time after detection. In case of APT attacks, compared to general cyber attacks, the number of attacks is small, there is not much known data, and it is designed to bypass signature-based cyber defense techniques. As an attack model, we used MITRE ATT&CK® which modeled many parts of cyber attacks. We design an impact score considering the versatility of the attack techniques and proposed a group similarity score based on this. Experimental results show that the proposed method classified the attack group with a 72.62% probability based on Top-5 accuracy.

• Journal of Korean Academy of Nursing Administration
• /
• v.10 no.1
• /
• pp.63-81
• /
• 2004

Purpose: To identify job satisfaction of hospital employees and the relating factors Methods: The study sample was a total of 1,031 healthcare workers(doctors, nurses, pharmacists, medical engineers, office workers, etc) at a tertiary teaching hospital. The data were collected using a questionnaire developed by a expert group. The questionnaire consisted of 21 items including job characteristics, organizational culture, and personal characteristics on the five Likert scale. Results: The overall satisfaction on job characteristics was 3.24 on the five Likert scale. The satisfaction of each item was 4.14 in role clarity, 3.26 in communication participating rate, 3.10 in work variety, 3.06 in autonomy, and 2.64 in workload. The overall satisfaction on organizational culture was 3.00. Particularly, the satisfaction on collaboration was 3.83, co-worker's support. 3.73, identity, 3.62, education/training opportunity, 3.12, pay, 2.62, welfare, 2.35, promotion, 2.34, and organizational conflict, 2.00. The level of satisfaction on personal characteristics was 3.00. In the satisfaction of each item, the score of disposition was 3.83, contribution to the hospital, 3.75, pride as a member of hospital, 3.70, and attitude on job performance, 3.68. The correlation between satisfaction and other variables was statistically significant with the exception of work variety. The satisfaction related significantly to loyalty index(r=.486, p=.000), autonomy(r=.415, p=.000), pride as a member of hospital(r=.411, p=.000), supervisor support(r=.364, p=.000). Conclusions: The results showed developing organizational strategy to promote job satisfaction can decrease the turnover rate and increase loyalty to the organization. It will contribute to enhance productivity in hospital.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.44 no.2
• /
• pp.209-223
• /
• 2020

This study examined consumers' perceived anxiety regarding how safe the clothing and lifestyle products are as well as influencing factors. Data was collected using a self-ministered online survey of 1,126 adult consumers. The results of this study showed that consumer anxiety about chemicals and hygiene product safety had a greater impact on the anxiety perception of general safety than clothing and beauty products. It was confirmed that the reliability of information source (government agency, mass media, expert group, and internet community/blog) varies depending on the level of consumers' overall safety anxiety. The study also found the effect of consumers' subjective perception of health on safety anxiety about clothing and lifestyle products. Further, the moderating effect of age in the research model was confirmed. This result can be a useful guide to marketing communication for developing consumer safety-related policies to reduce consumer anxiety. The information will also help consumers make informed decisions that lead to safe and sustainable consumption.

• 한국해양학회지
• /
• v.27 no.2
• /
• pp.145-153
• /
• 1992

From the analyses of 16 bottom sediment samples and current data obtained during field expert ments from August to September 1987, the textural characteristics and transport mode of sand grains of a tidal sand ridge in Gyeonggi Bay are studied. The textural characteristic of the bottom sediments are diverse depending on their location on the tidal sand ridge. Sands on the crest are well sorted. near symmetric in skewness. leptokurtic in kurtosis. and are unimodal in peakedness. On the other hand, Poorly sorted gravelly sands in the trough are coarse skewed in skewness and plartkurtic in kurtosis. The mean values of U/SUB 100/ (velocity at one meter above bottom) and U/SUP */ (boundary shear velocity) are calculated to be 41.4 cm/sec and 2.39 cm/sec, respectively. From the analyses of characteristics of the sediments and currents in the study area, it can be concluded that almost all the sands of the tidal sand ridge (esp. on the crest) are transported as bedload (mainly as saltation).

• Asian Pacific Journal of Cancer Prevention
• /
• v.14 no.4
• /
• pp.2159-2165
• /
• 2013

Cancer registries help to establish and maintain cancer incidence reporting system, serve as a resource for investigation of cancer and its causes, and provide information for planning and evaluation of preventive and control programs. However, their wider role in directly enhancing oncology drug access has not been fully explored. We examined the value of cancer registries in oncology drug access in the Asia-Pacific region on three levels: (1) specific registry variable types; (2) macroscopic strategies on the national level; and (3) a regional cancer registry network. Using literature search and proceedings from an expert forum, this paper covers recent cancer registry developments in eight economies in the Asia-Pacific region - Australia, China, Hong Kong, Malaysia, Singapore, South Korea, Taiwan, and Thailand - and the ways they can contribute to oncology drug access. Specific registry variables relating to demographics, tumor characteristics, initial treatment plans, prognostic markers, risk factors, and mortality help to anticipate drug needs, identify high-priority research area and design access programs. On a national level, linking registry data with clinical, drug safety, financial, or drug utilization databases allows analyses of associations between utilization and outcomes. Concurrent efforts should also be channeled into developing and implementing data integrity and stewardship policies, and providing clear avenues to make data available. Less mature registry systems can employ modeling techniques and ad-hoc surveys while increasing coverage. Beyond local settings, a cancer registry network for the Asia-Pacific region would offer cross-learning and research opportunities that can exert leverage through the experiences and capabilities of a highly diverse region.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.32 no.2
• /
• pp.172-181
• /
• 2022

Objectives: In order to reduce the burden on employers and increase the reliability of measurement results, improvements to the provisions related to the work environment measurement reporting system, such as the current Occupational Safety and Health Act and its Enforcement Rules, are planned. This study aimed to suggest improvements for the work environment measurement reporting system through a survey and Delphi investigation. Method: This survey included workplaces (health managers), national institutions (the Ministry of Employment and Labor) that use the results of the work environment measurement reporting system for policy and supervision purposes, and work environment measurement institutions that enter the results were included. In addition to the survey, we tried to derive results through meetings with stakeholders and expert advisory meetings. Results: It is difficult to abolish or partially improve the reporting system under the Enforcement Regulations of the Occupational Safety and Health Act at this point because the opinions of workplaces, supervisory agencies, and measuring agencies differ in terms of its intended purpose and use. In the case of high-exposure harmful factors (over 50% on the basis of exposure) in the "comprehensive opinion" described in the work environment measurement results table, it is necessary to insert unit of work with exposed harmful factors, exposure factors, and current conditions in checklists or tables so that they can be reflected in government policies. In the case of workplaces that are feared to be highly exposed to substances subject to measurement, it seems desirable to improve them so that industrial health instructors registered with the Korea Safety and Health Agency or local labor offices can provide technical guidance. As an improvement plan to increase the reliability of data and the use of big data, it is necessary to improve the input method for processes and jobs. Conclusion: The laws and regulations of the work environment measurement reporting system are difficult to revise due to a lack of consensus among current stakeholders, but improvements can be achieved by improving the Ministry of Employment and Labor's notifications and other means. In addition, in order to effectively utilize the data from the K2B system, it is necessary to improve the input method for processes and jobs.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.2
• /
• pp.437-447
• /
• 2020

The purpose of this study is to research the countermeasures and expected effects through the use of drones in the field of disaster prevention as a drone-based smart quarantine performance method. The environmental, market, and technological approaches to the review of the current quarantine performance task and its countermeasures are as follows. First, in terms of the environment, the effectiveness of the quarantine performance business using drone-based control is to broaden the utilization of forest, bird flu, livestock, facility areas, mosquito larvae, pests, and to simplify and provide various effective prevention systems such as AI and cholera. Second, in terms of market, the standardization of livestock and livestock quarantine laws and regulations according to the use of disinfection and quarantine missions using domestic standardized drones through the introduction of new technologies in the quarantine method, shared growth of related industries and discovery of new markets, and animal disease prevention It brings about the effect of annual budget savings. Third, the technical aspects are (1) on-site application of disinfection and prevention using multi-drone, a new form of animal disease prevention, (2) innovation in the drone industry software field, and (3) diversification of the industry with an integrated drone control / control system applicable to various markets. (4) Big data drone moving path 3D spatial information analysis precise drone traffic information ensures high flight safety, (5) Multiple drones can simultaneously auto-operate and fly, enabling low-cost, high-efficiency system deployment, (6) High precision that this was considered due to the increase in drone users by sector due to the necessity of airplane technology. This study was prepared based on literature surveys and expert opinions, and the future research field needs to prove its effectiveness based on empirical data on drone-based services. The expected effect of this study is to contribute to the active use of drones for disaster prevention work and to establish policies related to them.