• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.164-170
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• 2017

The CNC machine tool field is showing a growing trend with the recent rapid development of manufacturing industries such as semiconductors, automobiles, medical devices, various inspection and test equipment, mechanical metal processing equipment, aircraft, shipbuilding and electronic equipment. However, small and medium-sized machining companies that use CNC machine tools are experiencing difficulties in increasingly intense competition. Especially, small companies which are receiving orders from 3rd or 4th venders are very difficult in business management. In recent years, company S experienced difficulty to make product quality and delivery time due to the ignorance of the processing method when manufacturing cooling plate jig made of SUS304 material used for cell phone liquid crystal glass processing. In order to solve these problems, we redesigned the process according to the size of our company and tried to manage all processes with quantified data. In the meantime, we have found that there is a need to improve the cutter process, which accounts for most of the machining process. Therefore, we have investigated the correlation between RPM and FEED of three cutters that have been used in the past. As a result, we found that it is the most urgent problem to solve the roughing process during the cutter operation which occupies more than 70% of the total machining. In order to shorten the machining time and improve the quality in machining of SUS304 cooling plate jig, we select the main factors such as price, tool life, maintenance cost, productivity, quality, RPM, and FEED and use AHP to find the most suitable milling cutter. We also tried to solve the problem of delivery, quality and production capacity which was a big problem of S company through experiment operation with selected cutter tool. As a result, the following conclusions were drawn. First, the most efficient of the three cutters currently available in the machining center has proven to be an M-cutter. Second, although one additional facility was required, it was possible to produce the existing facilities without additional investment by supplementing the lack of production capacity due to productivity improvement. Third, the Company's difficulties in delivery and capacity shortfalls have been resolved. Fourth, annual sales increased by KRW 109 million and profits increased by KRW 32 million annually. Fifth, it can confirm the usefulness of AHP method in corporate decision making and it can be utilized in various facility investment and process improvement in the future.

• Safety and Health at Work
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• v.10 no.3
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• pp.377-383
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• 2019

Objectives: Exposure to fine particles in urban air has been associated with a number of negative health effects. High levels of fine particles have been detected at underground stations in big cities. We investigated the exposure conditions in four occupational groups in the Stockholm underground train system to identify high-exposed groups and study variations in exposure. Methods: $PM_1$ and $PM_{2.5}$ were measured during three full work shifts on 44 underground workers. Fluctuations in exposure were monitored by a real-time particle monitoring instrument, pDR, DataRAM. Qualitative analysis of particle content was performed using inductively coupled plasma mass spectrometry. Nitrogen dioxide was measured using passive monitors. Results: For all underground workers, the geometric mean (GM) of $PM_1$ was $18{\mu}g/m^3$ and of $PM_{2.5}$ was $37{\mu}g/m^3$. The particle exposure was highest for cleaners/platform workers, and the GM of $PM_1$ was $31.6{\mu}g/m^3$ [geometric standard deviation (GSD), 1.6] and of $PM_{2.5}$ was $76.5{\mu}g/m^3$ (GSD, 1.3); the particle exposure was lowest for ticket sellers, and the GM of $PM_1$ was $4.9{\mu}g/m^3$ (GSD, 2.1) and of $PM_{2.5}$ was $9.3{\mu}g/m^3$ (GSD, 1.5). The $PM_1$ and $PM_{2.5}$ levels were five times higher in the underground system than at the street level, and the particles in the underground had high iron content. The train driver's nitrogen dioxide exposure level was $64.1{\mu}g/m^3$ (GSD, 1.5). Conclusions: Cleaners and other platform workers were statistically significantly more exposed to particles than train drivers or ticket sellers. Particle concentrations ($PM_{2.5}$) in the Stockholm underground system were within the same range as in the New York underground system but were much lower than in several older underground systems around the world.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.83-105
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• 2016

Measuring an individual's subjective wellbeing in an accurate, unobtrusive, and cost-effective manner is a core success factor of the wellbeing support system, which is a type of medical IT service. However, measurements with a self-report questionnaire and wearable sensors are cost-intensive and obtrusive when the wellbeing support system should be running in real-time, despite being very accurate. Recently, reasoning the state of subjective wellbeing with conventional sentiment analysis and unstructured data has been proposed as an alternative to resolve the drawbacks of the self-report questionnaire and wearable sensors. However, this approach does not consider contextual polarity, which results in lower measurement accuracy. Moreover, there is no sentimental word net or ontology for the subjective wellbeing area. Hence, this paper proposes a method to extract keywords and their contextual polarity representing the subjective wellbeing state from the unstructured text in online websites in order to improve the reasoning accuracy of the sentiment analysis. The proposed method is as follows. First, a set of general sentimental words is proposed. SentiWordNet was adopted; this is the most widely used dictionary and contains about 100,000 words such as nouns, verbs, adjectives, and adverbs with polarities from -1.0 (extremely negative) to 1.0 (extremely positive). Second, corpora on subjective wellbeing (SWB corpora) were obtained by crawling online text. A survey was conducted to prepare a learning dataset that includes an individual's opinion and the level of self-report wellness, such as stress and depression. The participants were asked to respond with their feelings about online news on two topics. Next, three data sources were extracted from the SWB corpora: demographic information, psychographic information, and the structural characteristics of the text (e.g., the number of words used in the text, simple statistics on the special characters used). These were considered to adjust the level of a specific SWB. Finally, a set of reasoning rules was generated for each wellbeing factor to estimate the SWB of an individual based on the text written by the individual. The experimental results suggested that using contextual polarity for each SWB factor (e.g., stress, depression) significantly improved the estimation accuracy compared to conventional sentiment analysis methods incorporating SentiWordNet. Even though literature is available on Korean sentiment analysis, such studies only used only a limited set of sentimental words. Due to the small number of words, many sentences are overlooked and ignored when estimating the level of sentiment. However, the proposed method can identify multiple sentiment-neutral words as sentiment words in the context of a specific SWB factor. The results also suggest that a specific type of senti-word dictionary containing contextual polarity needs to be constructed along with a dictionary based on common sense such as SenticNet. These efforts will enrich and enlarge the application area of sentic computing. The study is helpful to practitioners and managers of wellness services in that a couple of characteristics of unstructured text have been identified for improving SWB. Consistent with the literature, the results showed that the gender and age affect the SWB state when the individual is exposed to an identical queue from the online text. In addition, the length of the textual response and usage pattern of special characters were found to indicate the individual's SWB. These imply that better SWB measurement should involve collecting the textual structure and the individual's demographic conditions. In the future, the proposed method should be improved by automated identification of the contextual polarity in order to enlarge the vocabulary in a cost-effective manner.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.321-335
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• 2020

Given that with the development of the 4th industry, interest and desire for smart cities are gradually increasing and related technologies are developed as a way to strengthen urban competitiveness by utilizing big data, information and communication technology, IoT, M2M, and AI, the purpose of this study is to find out how to achieve this goal on the premise of the idea of smart well fair city. In other words, the purpose is to devise a smart well-fair city in the care area, such as health care, medical care, and welfare, and see if it is feasible. With this recognition, the paper aimed to review the concept and scope of smart city, the discussions that have been made so far and the issues or limitations on its connection to social security and social welfare, and based on it, come up with the concept of welfare city. As a method of realizing the smart welfare city, the paper reviewed characteristics and features of a social security platform as well as the applicability of smart city, especially care services. Furthermore, the paper developed discussions on the standardization of the city in terms of political and institutional improvements, utilization of personal information and public data as well as ways of institutional improvement centering on social security information system. This paper highlights the importance of implementing the digitally based community care and smart welfare city that our society is seeking to achieve. With regard to the social security platform based on behavioral design and the 7 principles(6W1H method), the present paper has the limitation of dealing only with smart cities in the fields of healthcare, medicine, and welfare. Therefore, further studies are needed to investigate the effects of smart cities in other fields and to consider the application and utilization of technologies in various aspects and the corresponding impact on our society. It is expected that this paper will suggest the future course and vision not only for smart cities but also for the social security and welfare system and thereby make some contribution to improving the quality of people's lives through the requisite adjustments made in each relevant field.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.1
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• pp.95-95
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• 2002

This study was conducted to examine housewives' knowledge level of herb medicine and its related factors in Korea. Data were collected from 667 housewives from April 1, 1999 to June 30, 1999. The results of this study are summarized as follows. 1. According to general characteristics of the subjects, 29.1$\%$ of the subjects was over fifties. 28.6$\%$ was primary school graduate. while 25.5$\%$ was high school graduate. In case of job, the unemployed was 67.0$\%$ and professional／clerical worker was 19.6$\%$. 82.0$\%$ had spouses and 45.7$\%$ believed in Buddha. 50.8$\%$ of the subjects lived in big cities and 76.7$\%$ was the middle class. In case of their health condition, 33.4$\%$ was in good health, while 5 1.1$\%$ suffered from certain diseases and 43.9$\%$ was not satisfied with health conditions. 2. The proportion of experience in taking herb medicine was 86.4$\%$. The marital status and health condition were significantly related to the experience in taking herb medicine. When the respondents took diseases, 68.0$\%$ of them were experienced in folk remedy. The variables of age and religion were significantly related to experience in folk remedy. 3. According to the respondents opinions of the effect of the folk remedy, 'effective' was 78.5$\%$ and 'common' was 17.6$\%$, while 'not effective' was 3.9$\%$. 59.3$\%$ of the respondents thought that the folk remedy had scientific basis. 4. In case of information sources on herb medicine, 59.7$\%$ of the respondents obtained the information from TV or Radio. 13.7$\%$ of them got it from magazines related to Oriental medicine and 13.3$\%$ of them obtained it from newspapers or related books. The information sources were significantly related to age and health condition. The knowledge level of herb medicine was 20.76${\pm}$2.66 point on the basis of 30 points. The knowledge level was significantly related to age, occupation, health condition, information sources, experience in taking herb medicine, and opinions of scientific basis of the folk remedy. 5. The respondents marked 2.23${\pm}$0.64 points on the basis of 3.0 points in the question of the effect of taking herb medicine in summer, 2.30${\pm}$0.61 points in the question of the relationship between taking deer antlers and becoming clear-headed, 2.72${\pm}$0.56 points in the question of ginseng, 2.51${\pm}$0.56 points in the question of the relationship between taking herb medicine and being harmful to the liver, 1.94${\pm}$0.74 points in the question of taking herb medicine during the period of pregnancy, 1.84${\pm}$0.78 points in the question of the relationship between menstrual irregularity and motherwort, 2.00${\pm}$0.83 points in the question of the relationship between taking herb medicine and getting fat, 1.76${\pm}$0.89 points in the question of the relationship between Ssanghwatang and cold, 2.15${\pm}$0.76 points in the question of taking honey, and 1.45${\pm}$0.77 points in the question of selecting foods during the period of taking herb medicine. 6. The factors influencing decision of taking herb medicine were experience of taking herb medicine, intention of receiving treatment by folk remedy, occupation, health condition, and age. As seen in the above results, the knowledge level of taking herb medicine during the period of pregnancy, the relationship between menstrual irregularity and motherwort, Ssanghwatang, honey, and selecting foods during the period of taking herb medicine was very low. Therefore, it is necessary to develop education programs in order to provide community residents with basic knowledge of herb medicine. In doing so, the government, Oriental medical doctors, and associations related to herb medicine must make great efforts.

• Journal of Society of Preventive Korean Medicine
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• v.6 no.1
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• pp.96-116
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• 2002

This study was conducted to examine housewives' knowledge level of herb medicine and its related factors in Korea. Data were collected from 667 housewives from April 1, 1999 to June 30, 1999. The results of this study are summarized as follows. 1. According to general characteristics of the subjects, 29.1% of the subjects was over fifties. 28.6% was primary school graduate. while 25.5% was high school graduate. In case of job, the unemployed was 67.0% and professional／clerical worker was 19.6%. 82.0% had spouses and 45.7% believed in Buddha. 50.8% of the subjects lived in big cities and 76.7% was the middle class. In case of their health condition, 33.4% was in good health, while 51.1% suffered from certain diseases and 43.9% was not satisfied with health conditions. 2. The proportion of experience in taking herb medicine was 86.4%. The marital status and health condition were significantly related to the experience in taking herb medicine. When the respondents took diseases, 68.0% of them were experienced in folk remedy. The variables of age and religion were significantly related to experience in folk remedy. 3. According to the respondents opinions of the effect of the folk remedy, 'effective' was 78.5% and 'common' was 17.6%, while 'not effective' was 3.9%. 59.3% of the respondents thought that the folk remedy had scientific basis. 4. In case of information sources on herb medicine, 59.7% of the respondents obtained the information from TV or Radio. 13.7% of them got it from magazines related to Oriental medicine and 13.3% of them obtained it from newspapers or related books. The information sources were significantly related to age and health condition. The knowledge level of herb medicine was $20.76{\pm}2.66$ point on the basis of 30 points. The knowledge level was significantly related to age, occupation, health condition, information sources, experience in taking herb medicine, and opinions of scientific basis of the folk remedy. 5. The respondents marked $2.23{\pm}0.64$ points on the basis of 3.0 points in the question of the effect of taking herb medicine in summer, $2.30{\pm}0.61$ points in the question of the relationship between taking deer antlers and becoming clear-headed, $2.72{\pm}0.56$ points in the question of ginseng, $2.51{\pm}0.56$ points in the question of the relationship between taking herb medicine and being harmful to the liver, $1.94{\pm}0.74$ points in the question of taking herb medicine during the period of pregnancy, $1.84{\pm}0.78$ points in the question of the relationship between menstrual irregularity and motherwort, $2.00{\pm}0.83$ points in the question of the relationship between taking herb medicine and getting fat, $1.76{\pm}0.89$ points in the question of the relationship between Ssanghwatang and cold, $2.15{\pm}0.76$ points in the question of taking honey, and $1.45{\pm}0.77$ points in the question of selecting foods during the period of taking herb medicine. 6. The factors influencing decision of taking herb medicine were experience of taking herb medicine, intention of receiving treatment by folk remedy, occupation, health condition, and age. As seen in the above results, the knowledge level of taking herb medicine during the period of pregnancy, the relationship between menstrual irregularity and motherwort, Ssanghwatang, honey, and selecting foods during the period of taking herb medicine was very low. Therefore, it is necessary to develop education programs in order to provide community residents with basic knowledge of herb medicine. In doing so, the government, Oriental medical doctors, and associations related to herb medicine must make great efforts.

• Journal of Home Health Care Nursing
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• v.4
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• pp.5-22
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• 1997

The purpose of the study was to development an information delivery system for the home nursing service, to demonstrate and to evaluate the efficiency of it. The period of research conduct was from September 1996 to August 31, 1997. At the 1st stage to achieve the purpose, Firstly Assessment tool for the patients with cerebral vascular disease who have the first priority of HNS among the patients with various health problems at home was developed through literature review. Secondly, after identification of patient nursing problem by the home care nurse with the assessment tool, the patient's classification system developed by Park (1988) that was 128 nursing activities under 6 categories was used to identify the home care nurse's activities of the patient with CAV at home. The research team had several workshops with 5 clinical nurse experts to refine it. At last 110 nursing activities under 11 categories for the patients with CVA were derived. At the second stage, algorithms were developed to connect 110 nursing activities with the patient nursing problems identified by assessment tool. The computerizing process of the algorithms is as follows: These algorithms are realized with the computer program by use of the software engineering technique. The development is made by the prototyping method, which is the requirement analysis of the software specifications. The basic features of the usability, compatibility, adaptability and maintainability are taken into consideration. Particular emphasis is given to the efficient construction of the database. To enhance the database efficiency and to establish the structural cohesion, the data field is categorized with the weight of relevance to the particular disease. This approach permits the easy adaptability when numerous diseases are applied in the future. In paralleled with this, the expandability and maintainability is stressed through out the program development, which leads to the modular concept. However since the disease to be applied is increased in number as the project progress and since they are interrelated and coupled each other, the expand ability as well as maintainability should be considered with a big priority. Furthermore, since the system is to be synthesized with other medical systems in the future, these properties are very important. The prototype developed in this project is to be evaluated through the stage of system testing. There are various evaluation metrics such as cohesion, coupling and adaptability so on. But unfortunately, direct measurement of these metrics are very difficult, and accordingly, analytical and quantitative evaluations are almost impossible. Therefore, instead of the analytical evaluation, the experimental evaluation is to be applied through the test run by various users. This system testing will provide the viewpoint analysis of the user's level, and the detail and additional requirement specifications arising from user's real situation will be feedback into the system modeling. Also. the degree of freedom of the input and output will be improved, and the hardware limitation will be investigated. Upon the refining, the prototype system will be used as a design template. and will be used to develop the more extensive system. In detail. the relevant modules will be developed for the various diseases, and the module will be integrated by the macroscopic design process focusing on the inter modularity, generality of the database. and compatibility with other systems. The Home care Evaluation System is comprised of three main modules of : (1) General information on a patient, (2) General health status of a patient, and (3) Cerebrovascular disease patient. The general health status module has five sub modules of physical measurement, vitality, nursing, pharmaceutical description and emotional/cognition ability. The CVA patient module is divided into ten sub modules such as subjective sense, consciousness, memory and language pattern so on. The typical sub modules are described in appendix 3.

• Health Policy and Management
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• v.10 no.3
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• pp.19-49
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• 2000

This study was conducted to help staff members of health centers manage personnel by examining the staff members' recognition level of organization structure of health centers, their motivation, their job satisfaction level and its related factors. Data were collected from 471 staff members of 14 health centers from March 3, 1999 to April 30, 1999. The results of this study are summarized as follows. In recognition levels of organization structure of health centers, the recognition level of necessity of discretion right was highest(3.55 points on the base of 5 points), while the recognition level of the location of decision making right was lowest(2.77 points). The general recognition of organization structure of health centers was 3.06 points, the suitability of division of duties was 3.05 points, and the optimum of manpower and budget was 2.93 points. The staff members' general recognition level of the organization structure appeared significantly higher in case of the groups of small and medium sized cities, above fifties, below high school graduate, above the sixth grade, public service experience of above 20 years, service period of below 2 years at present post, and average monthly salary of one million, eight hundred and ten thousand won. In the recognition level of the location of decision making right, the groups of big cities, male, the married, above the sixth grade, health and administration posts, average monthly salary of one million, three hundred and ten thousand won to one million, and eight hundred thousand won were significantly higher than the other groups. The recognition level of necessity of discretion right was higher in case of the groups of the twenties, the unmarried, above college graduate, nursing post, public service experience of below 5 years, service period of below 2 years at present post, and average monthly salary of below eight hundred thousand won. In the recognition level of suitability of division of duties, the groups of small and medium sized cities, the married, medical technicians, public service experience of above 20 years, and service period of below 4 years at present post were significantly higher than the other groups. In the staff members' recognition levels of organization management, the recognition level of opinion response when making decision was highest(2.92 points). The recognition level of rationality of the target amount establishment method was 2.88 points and the recognition level of personnel management was 2.63 points. The recognition level of personnel management was significantly higher in case of the groups of small and medium sized cities, the forties, above the sixth grade, medical technicians, public service experience of above 20 years, service period of below 2 years at present post, and average monthly salary of above one million, eight hundred and ten thousand won. In the recognition level of opinion response when making decision, the groups of small and medium sized cities, female, the eighth grade, health and administration posts, and service period of below 2 years at present post were higher than the other groups. The recognition level of rationality of the target amount establishment method was significantly higher in case of the groups of above fifties, below high school graduate, above the sixth grade, medical service post, and public service experience of 15 to 20 years. The factors significantly influencing sanitation were sex, education level, the period of public service experience, general recognition of organization structure, recognition of necessity of discretion right, recognition of suitability of division of duties, and recognition of opinion response when making decision. The factors which significantly influenced motivation were marital status, grade, recognition of the location of decision making right, recognition of necessity of discretion right, recognition of division of duties, recognition of opinion response when making decision, and sanitation. Sex, education level, recognition of suitability of division of duties, recognition of the target amount establishment method, and motivation influenced job satisfaction significantly. The factors significantly influencing organization culture were age, the period of public service experience, service period at present post, recognition of optimum of manpower and budget, recognition of suitability of division of duties, recognition of opinion response when making decision, and recognition of rationality of the target amount establishment method. In the coming days, the staff members' job satisfaction level must be increased through motivation and efficient conduct of duty must be accomplished through rational organization structure and management. Moreover, change of the staff members' consciousness and administrative system which are suitable for local autonomy system have to be established with increase of local residents' consciousness level and education level. Forming organization culture by reformative idea which fits the new era, public health service by the Community Health Act and health education service by the Health Promotion Act must be carried out efficiently. In doing so, financial support of central government and active efforts and concerns of local governments have to be devoted in order to get public health service in which peculiarity of the community is considered to be pursued well.