• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.29-40
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• 2022

The aim of this study was to analyze research trends of social service quality from 2007 to 2020 based on text mining and topic modeling. Our focus was to provide foundational materials for social service improvement by discovering the latent meaning of relevant research papers. We collected 97 scholarly articles on social service, social welfare service, and quality from RISS, and implemented two segments of text mining analysis. Our results showed that the first section included 38 papers and the second 59, indicating 6.9 articles annually. Word frequency results demonstrated that the common keywords of both sections were 'service', 'quality', 'social service', 'satisfaction', 'users', 'quality control', 'reuse', 'policy', 'voucher', etc. TF-IDF suggested that 'social service', 'satisfaction', 'users', 'customer satisfaction', 'revisiting', 'voucher', 'quality', 'assisted living facility', 'quality control', 'community service investment business', etc., were represented in both categories. Lastly, topic modeling analysis revealed that the first segment displayed 'types of care services', 'service costs', 'reuse', 'users based', and 'job creation', whereas the second presented 'service quality', 'public value', 'management system of human resources', 'service provision system', and 'service satisfaction'. Future directions of social service quality were discussed based on the results.

• Journal of Korea Water Resources Association
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• v.55 no.4
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• pp.301-308
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• 2022

Algae is an indispensable primary producer in the ecosystem by supplying energy to consumers in the aquatic ecosystem, and is largely divided into green algae, blue-green algae, and diatoms. In the case of blue-green algae, the water temperature rises, which occurs in the summer and overgrows, which is the main cause of the algae bloom. Recently, the change in the occurrence time and frequency of the algae bloom is increasing due to climate change. Existing algae survey methods are performed by collecting water and measuring through sensors, and time, cost and manpower are limited. In order to overcome the limitations of these existing monitoring methods, research has been conducted to perform remote monitoring using spectroscopic devices such as multispectral and hyperspectral using satellite image, UAV, etc. In this study, we tried to confirm the possibility of species classification of remote monitoring through laboratory-scale experiments through algal culture and river water collection. In order to acquire hyperspectral images, a hyperspectral sensor capable of analyzing at 400-1000 nm was used. In order to extract the spectral characteristics of the collected river water for classification of algae species, filtration was performed using a GF/C filter to prepare a sample and images were collected. Radiation correction and base removal of the collected images were performed, and spectral information for each sample was extracted and analyzed through the process of extracting spectral information of algae to identify and compare and analyze the spectral characteristics of algae, and remote sensing based on hyperspectral images in rivers and lakes. We tried to review the applicability of monitoring.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.671-679
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• 2023

This study aims to establish an evaluation model by quantifying the evaluation index as a follow-up study to the development of evaluation index for work-study parallel learning companies. An evaluation model was established by verifying the 2nd level components based on the quantitative factors of the learning company, the qualitative factors, the competency factors of the person in charge, and the competency factors of the learning workers, which are the highest-level components derived from previous study. For the evaluation of a learning company, an AHP survey was conducted with experts in charge of the company consulting to derive important factors that determine the quality of on-site education and training, and the evaluation model of the learning company was completed and grouped by calculating the weight between evaluation items proceeded. Work-study parallel program was promoted as a key policy to resolve the mismatch between industrial sites and school education and realize a competency-centered society, and as of December 2022, 16,664 companies participated in the training. Learning companies play a very important role as education and training supply organizations that conduct field training. It is expected that the support and consulting plan for each level of learning companies according to the evaluation model presented in this study will be used as basic data to improve the quality of work-study parallel program.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.230-238
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• 2023

Small and medium-sized food manufacturing enterprises are largely reliant on manual labor, from inputting raw materials to palletizing the final product. Recently, there has been a trend toward smartness and digitization through the implementation of robotics and sensor data technology. In this study, we examined the effectiveness of improvement through 3D simulation on two repetitive work processes within a food manufacturing company. These processes involve workers whose speed cannot match the capacity of the applied equipment. Two manual processes were selected: the weighing and packing process performed by workers after skewer assembly, and the manual batch process of counting randomly delivered frozen foods, packing (both internal and external), and palletizing. The production volume, utilization rate, and number of workers were chosen as verification indicators. As a result of the simulation for improving the 3D process, production increased by 13.5% and 56.8% compared to the existing process, respectively. This was particularly evident in the process of applying palletizing robots. In both processes, as the utilization rate and number of input workers decreased, robots could replace tasks with high worker fatigue, thereby reducing work overload. This study demonstrates the potential to visually compare the process flow improvement using 3D simulations and confirms the possibility of pre-validation for improvement.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.1
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• pp.1-17
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• 2024

The purpose of this study is to identify the role of each party in relation to the contract farming of cabbage which is taking place under the contract between the local trader of agricultural produce that supplies raw cabbage to company "D," a manufacturer of kimchi, and the cabbage farm where the cabbage is grown, and to describe the changes brought by the contract farming to the agriculture of the contract area. As a result of the study, it was discovered that, while the farming of cabbage in the contract area used to be led by farmers, it is now increasingly being controlled by the local traders of agricultural produce. First, as the key player in the decision-making related to the cabbage farming in the main cabbage producing areas, local traders of agricultural produce are replacing the role of farmers by supervising the entire production process and controlling the overall cabbage farming in the contract area. Second, in the main cabbage producing areas, local traders of agricultural produce are becoming a key farming entity by carrying out functions that are comparable to those of farmers and playing a major role in the second half of the agricultural work at the farms in the contract area. This can be considered as the result of the balance between the demands of the local traders of agricultural produce who need to secure contract volume and manage the quality of their produce and the demands of the farmers in key cabbage producing areas who are facing difficulties due to the increase in the number of elderly farmers and a shortage of manpower.

• Journal of agricultural medicine and community health
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• v.28 no.2
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• pp.1-14
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• 2003

Objectives: This paper introduces need and supply level of rural mental health care service and especially focuses on the evaluation for the community mental health programs of Public Health Centers(PHCs) in rural areas as the facilities for primary mental health care. Methods: We defined the need as prevalance rate and service utilization rate, for which reviewed the results of the epidemiological study of mental disorders using Korean Composite International Diagnostic Interview surveyed on a nationwide scale in 2001. Supply was appraised in terms of psychiatric beds and primary mental heath care facilities such as private psychiatric clinics, facilities for social rehabilitation, PHCs running community mental health programs. For this, we reveiwed a variety of annual reports related mental health published by Ministry of Health and Welfare. To evaluate the community mental health programs of PHCs in rural areas, we selected. randomly samples out of the 3rd community health plans including the contents of community mental health programs, which submitted by 89 rural counties and 44 cities mixed with rural areas, and used the program's guideline established by central government as a standard. Results: Prevalence rates of major psychiatric diseases such as schizophrenia, alcoholism, major depression, anxiety disorder were higher in rural area than in urban area and 8.9% of psychiatric patients in both areas stayed at homes contacted with mental health manpower more than one time during the last year. Psychiatric beds were sufficiently supplied, but urban area had less beds than rural area contrary to general health care service. Psychiatric clinics were supplied very insufficiently in rural areas and PHCs bridged the gap instead. However rural PHCs got less financial support for community mental health programs from higher positioned agencies than urban PHCs. Rural community health programs not supported hardly worked out. Conclusions: Central government should consider a special policy for rural primary mental health care, because private psychiatric clinics can't be introduced in rural areas due to demand-deficiency and the financial independence of rural counties was very vulnerable.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.109-131
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• 2014

As the demand of nuclear power plant equipment is continuously growing worldwide, the importance of handling nuclear strategic materials is also increasing. While the number of cases submitted for the exports of nuclear-power commodity and technology is dramatically increasing, preadjudication (or prescreening to be simple) of strategic materials has been done so far by experts of a long-time experience and extensive field knowledge. However, there is severe shortage of experts in this domain, not to mention that it takes a long time to develop an expert. Because human experts must manually evaluate all the documents submitted for export permission, the current practice of nuclear material export is neither time-efficient nor cost-effective. Toward alleviating the problem of relying on costly human experts only, our research proposes a new system designed to help field experts make their decisions more effectively and efficiently. The proposed system is built upon case-based reasoning, which in essence extracts key features from the existing cases, compares the features with the features of a new case, and derives a solution for the new case by referencing similar cases and their solutions. Our research proposes a framework of case-based reasoning system, designs a case-based reasoning system for the control of nuclear material exports, and evaluates the performance of alternative keyword extraction methods (full automatic, full manual, and semi-automatic). A keyword extraction method is an essential component of the case-based reasoning system as it is used to extract key features of the cases. The full automatic method was conducted using TF-IDF, which is a widely used de facto standard method for representative keyword extraction in text mining. TF (Term Frequency) is based on the frequency count of the term within a document, showing how important the term is within a document while IDF (Inverted Document Frequency) is based on the infrequency of the term within a document set, showing how uniquely the term represents the document. The results show that the semi-automatic approach, which is based on the collaboration of machine and human, is the most effective solution regardless of whether the human is a field expert or a student who majors in nuclear engineering. Moreover, we propose a new approach of computing nuclear document similarity along with a new framework of document analysis. The proposed algorithm of nuclear document similarity considers both document-to-document similarity (${\alpha}$) and document-to-nuclear system similarity (${\beta}$), in order to derive the final score (${\gamma}$) for the decision of whether the presented case is of strategic material or not. The final score (${\gamma}$) represents a document similarity between the past cases and the new case. The score is induced by not only exploiting conventional TF-IDF, but utilizing a nuclear system similarity score, which takes the context of nuclear system domain into account. Finally, the system retrieves top-3 documents stored in the case base that are considered as the most similar cases with regard to the new case, and provides them with the degree of credibility. With this final score and the credibility score, it becomes easier for a user to see which documents in the case base are more worthy of looking up so that the user can make a proper decision with relatively lower cost. The evaluation of the system has been conducted by developing a prototype and testing with field data. The system workflows and outcomes have been verified by the field experts. This research is expected to contribute the growth of knowledge service industry by proposing a new system that can effectively reduce the burden of relying on costly human experts for the export control of nuclear materials and that can be considered as a meaningful example of knowledge service application.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.151-171
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• 2014

Firms today have sought management effectiveness and efficiency utilizing information technologies (IT). Numerous firms are outsourcing specific information systems functions to cope with their short of information resources or IT experts, or to reduce their capital cost. Recently, Software-as-a-Service (SaaS) as a new type of information system has become one of the powerful outsourcing alternatives. SaaS is software deployed as a hosted and accessed over the internet. It is regarded as the idea of on-demand, pay-per-use, and utility computing and is now being applied to support the core competencies of clients in areas ranging from the individual productivity area to the vertical industry and e-commerce area. In this study, therefore, we seek to quantify the value that SaaS has on business performance by examining the relationships among firm strategies, SaaS technology maturity, and business performance of SaaS providers. We begin by drawing from prior literature on SaaS, technology maturity and firm strategy. SaaS technology maturity is classified into three different phases such as application service providing (ASP), Web-native application, and Web-service application. Firm strategies are manipulated by the low-cost strategy and differentiation strategy. Finally, we considered customer acquisition as a business performance. In this sense, specific objectives of this study are as follows. First, we examine the relationships between customer acquisition performance and both low-cost strategy and differentiation strategy of SaaS providers. Secondly, we investigate the mediating and moderating effects of SaaS technology maturity on those relationships. For this purpose, study collects data from the SaaS providers, and their line of applications registered in the database in CNK (Commerce net Korea) in Korea using a questionnaire method by the professional research institution. The unit of analysis in this study is the SBUs (strategic business unit) in the software provider. A total of 199 SBUs is used for analyzing and testing our hypotheses. With regards to the measurement of firm strategy, we take three measurement items for differentiation strategy such as the application uniqueness (referring an application aims to differentiate within just one or a small number of target industry), supply channel diversification (regarding whether SaaS vendor had diversified supply chain) as well as the number of specialized expertise and take two items for low cost strategy like subscription fee and initial set-up fee. We employ a hierarchical regression analysis technique for testing moderation effects of SaaS technology maturity and follow the Baron and Kenny's procedure for determining if firm strategies affect customer acquisition through technology maturity. Empirical results revealed that, firstly, when differentiation strategy is applied to attain business performance like customer acquisition, the effects of the strategy is moderated by the technology maturity level of SaaS providers. In other words, securing higher level of SaaS technology maturity is essential for higher business performance. For instance, given that firms implement application uniqueness or a distribution channel diversification as a differentiation strategy, they can acquire more customers when their level of SaaS technology maturity is higher rather than lower. Secondly, results indicate that pursuing differentiation strategy or low cost strategy effectively works for SaaS providers' obtaining customer, which means that continuously differentiating their service from others or making their service fee (subscription fee or initial set-up fee) lower are helpful for their business success in terms of acquiring their customers. Lastly, results show that the level of SaaS technology maturity mediates the relationships between low cost strategy and customer acquisition. That is, based on our research design, customers usually perceive the real value of the low subscription fee or initial set-up fee only through the SaaS service provide by vender and, in turn, this will affect their decision making whether subscribe or not.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.10
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• pp.1381-1391
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• 2009

Dietary life style of the elderly living in rural areas of Gyeongbuk Andong during the busy farming season was surveyed and a monthly meal plan for the elderly was developed using eco-friendly native crops and considering the characteristics of a busy farming season and their preferences. A week meal plan was selected and applied to those fields. The meal plan was developed for an elder's house in Gyeongbuk Andong during the busy farming season. Especially, to increase the intake of calcium and dietary fiber, bamboo sprouts, pepper leaves, dried slices of whitebait, and fried anchovies were used. Considering the busy farming season, the ginseng chicken soup and the soybean noodle soup were served to provide high quality of protein and to improve health condition. A cold soup of cucumber and brown seaweed was used to supplement liquid, vitamins, and minerals. The results are as follows: the highest score of the preference on a staple was 8.77 for the boiled barley of menu 5; the favorite soup was the ginseng chicken soup (8.73) in menu 4; for side dishes, those in menu 5 were most popular (8.69); the favorite meal was the ginseng chicken soup of menu 4 (8.69). Regarding the amount of leftover foods, the lightest was 30.14 g in Gyeongbuk Andong menu 3 which significantly indicates high preference (p<0.05). The current study was a planned meal service menu using local crops and seasonal foods, which was actually applied to the field resulting in high preference and satisfaction levels.

• 대한공업교육학회지
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• v.34 no.2
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• pp.1-19
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• 2009

The goal of this study is to examine the status quo of industrial-educational cooperation in Technical high schools. Based upon the findings of the current conditions, this study ultimately aims to propose methods through which more active industrial-educational cooperation can be stimulated. The methods chosen for this study are reference research and surveys. The survey was conducted by imposing complete enumeration on the targeted high schools that specialize in industry related fields. The survey targets were the directions of academic affairs, the directions of practical affairs, and the directors of the educational curriculum of each school.The research results are as follows: First, the teachers recognize the necessities of having opportunities to gain specific skills in different industrial fields, having chances to get stable employment, and securing the industrial institution's competitiveness through the customized nurturing and supply of human resources as the primary goals of industrial-educational cooperation. Second, the teachers express the similar opinion that industrial-educational cooperation in their current system is inappropriate to achieve their goals. Third, the teachers claim that an educational curriculum that emphasizes industrial educational cooperation must be developed and managed. Fourth, it was found that when schools plan their educational curriculum, they often do not implement the requests from industrial institutions. Fifth, major educational program implement methods that meet the requests of the industrial institutions include field trips or the introduction of other field-based experience learning programs, the application of customized curriculums based on industrial-educational cooperation, and the invitation of industrial-educational personnel as teachers to school environments. Sixth, it was concluded that educational institutions need to proactively seek companies for cooperation; they need to support, develop, and manage school programs that are based on industrial-educational cooperation; and finally, institutions need to enthusiastically participate in the government's vocational education policies that are founded upon industrial-educational cooperation. Seventh, the enforcement of selective curriculum for the benefit of diversifying the educational program; the pursuit of balancing the specialized curriculum through shedding the national educational level provided within the regular curriculum; and the establishment of related amendments on the national level to provide effective industrial-educational cooperation have been identified as the vital factors that can develop the educational programs within high schools specializing in industry and that are closely related to industrial educational cooperation.