• International journal of advanced smart convergence
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• v.12 no.3
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• pp.163-167
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• 2023

The restaurant industry is an industry with low entry barriers, and furthermore, it is an indispensable industry in life. However, for the restaurant industry, it is necessary to start a business considering many factors. In particular, the comparative group for each restaurant industry is different, and the commercial area analysis should be analyzed differently. Moreover, counseling for restaurant start-ups is still sticking to how to start a restaurant by meeting with each franchise supervisor or counselor. Therefore, a restaurant start-up chatbot is needed for prospective restaurant founders, and a food tech chatbot is needed to collect basic data. Therefore, in this study, factors for restaurant start-ups were divided into youth, preliminary start-ups, menus, taste, and food. In the case of restaurant start-ups with low entry barriers, it was confirmed as the most preferred start-up by young people. However, indiscriminate restaurant start-ups not only increase the closing rate but also have a significant impact on household debt, so accurate consulting should be used to lower the closing rate and increase the success rate. Furthermore, theories and measures for food technologies such as chatbots should be further developed to obtain accurate information on franchise start-ups.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.73-82
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• 2023

Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.

• Journal of Distribution Science
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• v.22 no.5
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• pp.1-10
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• 2024

Purpose: The study aims to identify the key factors that influence consumers' propensity to utilize community group buying platforms, employing the Technology Acceptance Model (TAM) as a theoretical framework. Research design, data and methodology: The research design involved selecting 192 consumers with experience in community group buying and analyzing the data statistically using SPSS 23.0. Hypotheses were tested utilizing the structural equation modeling software AMOS. Results: Key findings indicate that the attributes of products offered on community group buying platforms significantly enhance consumers' perceptions of usefulness and ease of use. Furthermore, these perceptions directly correlate with consumers' intentionsto use the platform. Conclusions: Thisresearch, grounded in the TAM, delves into how external factors of the community group buying platform impact perceived usefulness and ease of use, and subsequently, how these perceptions affect consumers' purchasing intentions. Based on these insights, several recommendations can be proposed for the platform's development: The platform should strive to enhance product quality and cultivate a positive reputation. Strategic promotional initiatives should be designed to attract new users while retaining existing customers. Continuous optimization of platform functionalities is necessary to augment users' perception of usefulness. These measures are anticipated to foster user engagement, increase adoption rates, and contribute to the overall success and sustainability of the community group buying platform.

• International Journal of Advanced Culture Technology
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• v.12 no.2
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• pp.270-280
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• 2024

This study aims to explore innovative measures for community policing activities of the Korean police in the context of the newly implemented autonomous police system and the increasing demand for community-oriented policing. By conducting an in-depth analysis of advanced community policing practices in the United States, Japan, and the United Kingdom, this research identifies key characteristics such as resident participation, communication, scientific crime analysis, and customized policing services. The study reveals the need for the Korean police to establish a collaborative governance system that actively involves residents, strengthen scientific policing capabilities utilizing advanced technologies, and provide policing services tailored to local characteristics. Organizational and personnel management reforms, including the substantiation of the local police officer system and the establishment of an institutional foundation for resident participation, are proposed. Furthermore, this study emphasizes the importance of developing a creative community policing model suitable for the Korean context, rather than directly transplanting overseas practices. Continuous research and efforts to build a new policing paradigm that reflects the changing social environment and policing demands are suggested. Ultimately, the success of community policing lies in the active participation and cooperation of all members of society, including the police, government, local communities, and residents.

• Earthquakes and Structures
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• v.27 no.2
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• pp.83-95
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• 2024

The prediction of seismic behavior of the existing building stock is one of the most impactful and complex problems faced by countries with frequent and intense seismic activities. Human lives can be threatened or lost, the economic life is disrupted and large amounts of monetary reparations can be potentially required. However, authorities at a regional or national level have limited resources at their disposal in order to allocate to preventative measures. Thus, in order to do so, it is essential for them to be able to rank a given population of structures according to their expected degree of damage in an earthquake. In this paper, the authors present a ranking approach, based on Machine Learning (ML) algorithms for pairwise comparisons, coupled with ad hoc ranking rules. The case study employed data from 404 reinforced concrete structures with various degrees of damage from the Athens 1999 earthquake. The two main components of our experiments pertain to the performance of the ML models and the success of the overall ranking process. The former was evaluated using the well-known respective metrics of Precision, Recall, F1-score, Accuracy and Area Under Curve (AUC). The performance of the overall ranking was evaluated using Kendall's tau distance and by viewing the problem as a classification into bins. The obtained results were promising, and were shown to outperform currently employed engineering practices. This demonstrated the capabilities and potential of these models in identifying the most vulnerable structures and, thus, mitigating the effects of earthquakes on society.

• The Journal of Korean Academy of Prosthodontics
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• v.49 no.3
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• pp.206-213
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• 2011

Purpose: The aim of this study was to evaluate the clinical value of Osstem$^{(R)}$ USII plus system implants. Clinical and radiographic data were analyzed for 88 implants placed and functionally loaded for a 12 month period at the Yonsei University Dental Hospital. Materials and Method: Based on the patient's medical records, clinical factors and their effects on implant marginal bone resorption, distribution and survival rate were analyzed. The marginal bone loss was evaluated at implant placement and during a 6 to 12 months functional loading period. The independent sample t-test was used to evaluate the interrelationship between the factors (${\alpha}$=0.05), and one way repeated measures ANOVA was used to compare the amount of marginal bone resorption. Results: The cumulative survival rate for 88 implants was 100%. The marginal bone resorption from implant placement to prosthetic delivery was 0.24 mm and the average marginal bone resorption from prosthetic delivery to 12 months of functional loading was 0.19 mm. The total average bone resorption from implant placement to 12 months of functional loading was 0.43 mm. There were no statistically differences in the amount of marginal bone resorption when implants were placed in the maxilla or the mandible (P>.05), however, implants placed in the posterior areas showed significantly more marginal bone loss than those placed in the anterior areas (P<.05). Conclusion: Based on these results, the short term clinical success rate of RBM surface treated external connection domestic implants showed satisfactory results and the marginal bone loss was in accord with the success criteria of dental implants.

• Journal of Distribution Science
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• v.10 no.2
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• pp.43-52
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• 2012

As experiential education services are growing, the need for proper management is increasing. Considering that adequate measures are an essential factor for achieving success in managing something, it is important for managers to use a proper system of metrics to measure the performance of experiential education services. However, in spite of this need, little research has been done to develop a valid and reliable set of metrics for assessing the quality of experiential education services. The current study aims to develop a multi-item instrument for assessing the service quality of experiential education. The specific procedure is as follows. First, we generated a pool of possible metrics based on diverse literature on service quality. We elicited possiblemetric items not only from general service quality metrics such as SERVQUAL and SERVPERF but also from educational service quality metrics such as HEdPERF and PESPERF. Second, specialist teachers in the experiential education area screened the initial metrics to boost face validity. Third, we proceeded with multiple rounds of empirical validation of those metrics. Based on this processes, we refined the metrics to determine the final metrics to be used. Fourth, we examined predictive validity by checking the well-established positive relationship between each dimension of metrics and customer satisfaction. In sum, starting with the initial pool of scale items elicited from the previous literature and purifying them empirically through the surveying method, we developed a four-dimensional systemized scale to measure the superiority of experiential education and named it "Experiential Education PERFormance" (EEPERF). Our findings indicate that students (consumers) perceive the superiority of the experiential education (EE) service in the following four dimensions: EE-empathy, EE-reliability, EE-outcome, and EE-landscape. EE-empathy is a judgment in response to the question, "How empathetically does the experiential educational service provider interact with me?" Principal measures are "How well does the service provider understand my needs?," and "How well does the service provider listen to my voice?" Next, EE-reliability is a judgment in response to the question, "How reliably does the experiential educational service provider interact with me?" Major measures are "How reliable is the schedule here?," and "How credible is the service provider?" EE-outcome is a judgmentin response to the question, "What results could I get from this experiential educational service encounter?" Representative measures are "How good is the information that I will acquire form this service encounter?," and "How useful is this service encounter in helping me develop creativity?" Finally, EE-landscape is a judgment about the physical environment. Essential measures are "How convenient is the access to the service encounter?,"and "How well managed are the facilities?" We showed the reliability and validity of the system of metrics. All four dimensions influence customer satisfaction significantly. Practitioners may use the results in planning experiential educational service programs and evaluating each service encounter. The current study isexpected to act as a stepping-stone for future scale improvement. In this case, researchers may use the experience quality paradigm that has recently arisen.

• Health Policy and Management
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• v.13 no.2
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• pp.67-84
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• 2003

Immunization has been one of the most effective measures preventing from infectious diseases. However, children routine vaccination rate of Korea was 68.2% and it was not higher than expected. Korean government revised the School Health Law for every primary school children to submit the vaccination certificate record from 2005. It is quite important national Infectious disease prevention policy to keep the immunizations rate high and monitor the immunizations rate continuously. To do this, National Institute of Health introduced the National Immunization Registry(NIR) Program at 2000. Objective : The aims of this study was to evaluate the Immunization Registry program which has been implementing since 2000 at the Public Health Centers(PHC). Methods : The mail survey was done from November 2001 to January 2002. 169 (69%) Public Health Centers among 244 PHC were responded. Results : The respondents of PHC sud the Immunization Registry(IR) program had reduced the workload (18.5%). 69.2% said they inputted the immunization data into the IR program after the shots were given. 86.5% said they hadn´t checked or retrieved the children lists who had missed the scheduled immunization. Only 17.2% said the speed of internet for the R program was good. It showed that 20% of respondents hadn´t written down documents, records on immunization any more. Even there were a lot of negative results, the respondents of PHC thought that the IR program was effective. They especially agreed that the IR program could make the job accurate (81.5%), convenient (71.3%), and reduced the chances of making mistakes (71.3%), increase the service quality (78.5%). And they were well adapting the job process of the IR (79.63%). Bivariate analysis showed that the software program was the important determinants of IR success. The only Bit Computer software program has been evaluated to be less satisfactory than the Integrated (Posdata operating system + Bit software) program. Other variables, such as age, duration of present job, and location of PHC (metropolitan, small city, rural area) were not significantly related. Conclusion : It seemed that the success of NIR might depend on the software program. Because Integrated program, which has been developed from 1994, include not only the general operating and management program for PHC but also IR program. It was natural to prefer Integrated program to Bit software program. So we can suggest that it is essential for the NIR to be successful that not only the immunization software program but also hardware equipments and public health information system should be further improved.

• Journal of Distribution Science
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• v.17 no.2
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• pp.53-69
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• 2019

Purpose - National scientific technology R&D investment is exceeding 60 trillion won per year, and the results of patent applications and technology transfers are visually improving. However, despite the improving research results of national R&D, the practical results of technology startups are mediocre. It is now time to expand the construction of the technology commercialization ecosystem, where the expansion of national R&D leads to the results of technology startups. Therefore, this study discussed the measures to increase the competitiveness of technology startups through the factual survey of the companies that benefitted from R&D support programs. Research design, data, and methodology - This study targeted 996 companies that benefitted from the R&D projects of the Technology Transfer Center for National R&D Programs, and deducted itemized issues through the survey replies. Survey questions were prepared to estimate the national R&D results, and the technology recognition path, the purpose of detailed introduction of the technology, investment of the commercialization fund, economic results, and the factors of success and failure were analyzed. Results - As for the recognition rate of technology during the process of corporate technology commercialization through the technology transfer, recognition through project participation showed a high response rate, and diverse implications of technology commercialization were deducted through the analysis of economic results. As for the resolution alternatives, the proliferation of technology commercialization platform that can create excellent technology for the companies in early stages and the measure of expanding the distribution of technology infrastructure were suggested. In this study, public technology commercialization strategy is established, and the innovative marketing strategy is presented. Conclusions - This study reveal that the result of creating scientific technology jobs should be deducted, in order to produce the revolutionary results of job creation by suggesting the success models of technology commercialization based on domestic scientific technology. In particular, even though the support systems for public research results are being diversely suggested, accurate studies on their actual conditions are currently lacking. Therefore, this study suggest realistic political alternatives to assure results in the process of public technology commercialization, by examining the current state of public research results of R&D support institutions and diagnosing the issues.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.65-82
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• 2020

Start-ups often use crowdfunding platforms such as Wadiz to get financing from corporate investors and general public. These platforms include functions to increase participant activity through the number of comments, interest and online word-of-mouth. This study aims to elucidate how these functions related to a participant activity exhibit mediating effects on a success of crowdfunding and an achievement rate of targeted investment amount. To this end, the individual variables such as progress period, target amount, venture company, experience of attracting investment, possession of intellectual property rights, a career of the representative and an award experience of the representative were classified into the project characteristics, the company characteristics and the representative characteristics through not only previous studies but also interviews with investment professionals and platform operators. Afterwards, this study went through an empirical verification process using a structural equation model that has both crowdfunding performance and participant activity, which is the independent and mediating factors of three perspectives, as well as the dependent variables. In other words, this study analyzes how the characteristics of three perspectives affect the participant activity and how the participant activity had the mediating effects on the crowdfunding performance. In addition, it derives how the analysis results mentioned above vary according to business types (internet services, culture/art, manufacturing/distribution) and investment styles (stock type and bond type). It is expected that this study will help not only in deriving the factors affecting the performance of an investment type crowdfunding but also in preparing the measures to increase a participant activity.