KSCE Journal of Civil and Environmental Engineering Research
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v.29
no.1D
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pp.63-72
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2009
This study aims at establishing the decision-making support system for the highway assets, long-term performance presumption and evaluation of asset value, which are appropriate for Korea, and proposing the methods of the optimal engineering method and the timing decision for the preventive maintenance through the project evaluation, the optimization method and life-cycle analysis related to the highways. In order to supplement the current problem of the near-sighted budget management system, which chooses the maintenance place of the highway, depending on the level of the budget with fixed amount, the long-term required budget prediction system and the economy principle were introduced, so that the pavement agency can predict the level of the required budget, and it was aimed to develop the pavement asset evaluation system to maintain the performance of the highway with the minimum of the cost. In the use of the highway pavement asset evaluation system, to maintain the appropriate level of the pavement evaluation index, when the budget was efficiently established in the reference of the required maintenance budget for the chosen section of the highway in the year concerned, it was possible to analyze the most rational pavement maintenance budget. With this result, it is estimated to prevent the unnecessary waste of budget in advance, and through the development of the decision-making system for the long-term performance presumption and the asset value estimation of the pavement, it is expected to able to analyze the previous evaluation of the project related to the highway and the feasibility of introduction.
Journal of Korea Entertainment Industry Association
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v.13
no.8
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pp.77-91
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2019
As of 2019, a report by the Ministry of Culture, Sports and Tourism showed that 884 diverse regional festivals are being held in the country. While there are successful festivals with large audience numbers and local economic effects, there are many festivals that only waste local budgets. Against this backdrop, the question of this study is "What are the key competences of a successful dance festival utilizing the VRIO model?" The development process and success factors of the success dance festival at home and abroad were analyzed in order to explore the key competences and specialization measures of the festival that our dance festival can take off as a successful dance festival. The purpose of the study is to examine what is the source of competitiveness of the regional festival through VRIO model, which can identify the key competencies of the festival to grow into a successful dance festival, and to derive the key competencies of the festival through the interview of the expert group(Focus Group Interview) to apply the development measures of our country's dance festival. According to the analysis, festival experts view the success factors of local festivals from various perspectives based on their empirical knowledge. The key competencies priority was 1. Theme, 2. the festival organization and professional personnel management, 3. The results came in the order of residents' participation. And the successful domestic and foreign dance festivals had their own core competencies. Growing up as a successful festival through festival management, which is worth no other festival, difficult to emulate, rare and difficult to replace, is seen as the biggest key to leading the regional festival to the world festival.
Ecological restoration is an ecological technology that diagnoses problematic ecological spaces and restores the damaged ecosystem to a healthy appearance similar to its original appearance based on reference information obtained by analyzing intact nature. To achieve successful restoration, the project must be carried out in respect of a series of procedures. However, in Korea, restoration projects are usually actively promoted regardless of diagnostic evaluation, which wastes cost and energy, and the effect is not significant. As the reference information is not utilized, ecological restoration to return the damaged nature makes features different greatly from the appearance of nature, causing another damage. As the restoration effect is not evaluated, it is impossible to determine whether it is successful or not, and as a result, even if the project continues, there is no development and no effect. However, advanced societies have not only made academic progress by respecting these procedures but also have great economic effects along with the improvement of environmental conditions as ecological restoration has become an industry. Therefore, the international society recognizes ecological restoration as an important means of solving environmental problems at the global level, including climate change, and international organizations are actively promoting projects to treat the injured planet. However, most of the restoration projects promoted in Korea were evaluated below the level as a result of the evaluation of the effect. Nevertheless, those who have led low-quality projects are blocking plans to establish ecological restoration as a new industry that can contribute significantly to improving these levels, and thus the problem is expected to worsen. To solve this problem, it is necessary to filter out defective businesses by introducing a strict and correct project evaluation system by dividing it into before and after. Furthermore, it is necessary to establish ecological restoration as an industry and leave the process in the principles of the market.
As the tourism industry recovers post the COVID-19 pandemic, an increasing number of tourists are utilizing various platforms to leave reviews. However, amidst the vast amount of data, finding useful information remains challenging, often leading to time and cost inefficiencies in selecting travel destinations. Despite ongoing research, there are limitations due to the absence of ratings or the presence of different rating formats across platforms. Moreover, inconsistencies between ratings and the content of reviews pose challenges in developing recommendation models. To address these issues, this study utilized 7,104 reviews of tourist spots in Jeju Island to develop a specialized satisfaction index for Jeju tourist attractions and employed this index to construct a 'Rating Prediction Model.' To validate the model's performance, we predicted the ratings of 700 experimental data points using both the developed model and an LSTM approach. The proposed model demonstrated superior performance with a weighted accuracy of 73.87%, which is approximately 4.67% higher than that of the LSTM. The results of this study are expected to resolve the discrepancies between ratings and review contents, standardize ratings in reviews without ratings or in various formats, and provide reliable rating indicators applicable across all areas of travel in different domains.
This study sought to explain the reasons why the civic education bill failed to be enacted as many as 13 times. What we discovered as a result of our research is, first, the absence of a legislative strategy by the minority member of the national assembly on this bills. The Citizenship Education Bill was a controversial bill with great potential for ideological conflict, and after the 19th National Assembly, this bill was promoted by a minority of a specific political party. The Democratic Party's sponsoring lawmakers did not use active legislative strategies, such as exerting influence within the party to have these bills adopted as the party's platform, or developing them into major pledges for the general and presidential elections. Second, there is a consistent passive response from civic groups as well as lawmakers who signed the bill in an unfavorable public opinion environment. During the legislative process, opposing opinions were overwhelming, including concerns about the spread of leftist ideology, waste of budget and organization, and violation of neutrality and fairness in education. In addition, the passive attitude of field teachers and civic groups, who should be in charge of civic education, also served as a background for the legislative failure. Third, due to a lack of sharing of reliable information on recent theoretical research and global policy trends among stakeholders, legislation through an agreement between the ruling and opposition parties failed.
Fourth Industrial Revolution and COVID-19 pandemic have boosted the use of Government 24 app for public service complaints in the era of non-face-to-face interactions. there has been a growing influx of complaints and improvement demands from users of public apps. Furthermore, systematic management of public apps is deemed necessary. The aim of this study is to analyze the grievances of Government 24 app users, understand the current dissatisfaction among citizens, and propose potential improvements. Data were collected from the Google Play Store from May 2, 2013, to June 30, 2023, comprising a total of 6,344 records. Among these, 1,199 records with a rating of 1 and at least one 'thumbs-up' were used for topic modeling analysis. The analysis revealed seven topics: 'Issues with certificate issuance,' 'Website functionality and UI problems,' 'User ID-related issues,' 'Update problems,' 'Government employee app management issues,' 'Budget wastage concerns ((It's not worth even a single star) or (It's a waste of taxpayers' money)),' and 'Password-related problems.' Furthermore, the overall trend of these topics showed an increase until 2021, a slight decrease in 2022, but a resurgence in 2023, underscoring the urgency of updates and management. We hope that the results of this study will contribute to the development and management of public apps that satisfy citizens in the future.
The Journal of Sustainable Design and Educational Environment Research
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v.17
no.1
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pp.33-39
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2018
The number of elementary school classroom's students. It will be decreased to 21.1 OECD even and furthemore to 19.8 in 2030. Therfore fore the time being the number of elementary school classroom's students will be sustained in 20~22. But nowadays the classroom's area which is fitted the number of 30 is too big compare with the number of 20~22. This reserch is finding the profit module of elementary school's classroom of the number of 20~20. Using one student's unit and various displays of class by teaching methods, I found the conclusions as follows. 1st, the horizontal length of center line is 7,100~7,500 and the vertical length of center line is 7,000~8,000 in the classroom's area of a team of 2. 2nd, if you make adjustment those lenghts to 30cm module, horizontal length is transfered to 7.2m, 7.5m, and vertical length is transferred to 7.2m, 7.5m, 7.8m. Therefore unit classroom's module are $7.2m{\times}7.2m$, $7.5m{\times}7.5m$ in square, and $7.2m{\times}7.5m$, $7.2m{\times}7.8m$, $7.5m{\times}7.8m$ in rectangular. 3rd, the areas of modules are $7.2m{\times}7.2m(51.84m^2)$, $7.5m{\times}7.5m(56.25m^2)$, $7.2m{\times}7.5m(54m^2)$, $7.2m{\times}7.8m(56.16m^2)$, $7.5m{\times}7.8m(58.5m^2)$. Therfore th area of module is from $51.84m^2$ to $58.5m^2$ compared to nowadays' classrooms.
The effective probability-based tile pre-fetching algorithm and the collaborative cache replacement algorithm are able to reduce the response time for user's requests by transferring tiles which will be used in advance and determining tiles which should be removed from the restrictive cache space of a client based on the future access probabilities in Web GISs(Geographical Information Systems). The Web GISs have multi-level abstracted data for the quick response time when zoom-in and zoom-out queries are requested. But, the previous pre-fetching algorithm is applied on only two-dimensional pre-fetching space, and doesn't consider expanded pre-fetching space for multi-level abstracted data in Web GISs. In this thesis, a probability-based pre-fetching algorithm for multi-level abstracted in Web GISs was proposed. This algorithm expanded the previous two-dimensional pre-fetching space into three-dimensional one for pre-fetching tiles of the upper levels or lower levels. Moreover, we evaluated the effect of the proposed pre-fetching algorithm by using a simulation method. Through the experimental results, the response time for user requests was improved 1.8%∼21.6% on the average. Consequently, in Web GISs with multi-level abstracted data, the proposed pre-fetching algorithm and the collaborative cache replacement algorithm can reduce the response time for user requests substantially.
To identify the eating behaviour of customers at a hotel buffet styled restaurant, a survey was conducted. The age range of the respondents was 6 through 70, but consisted mainly people in their twenties, thirties, and forties of the respondents, 65.1% were female. The occupation ranged from student 30.3%, housewife 27.2%, office worker 19.3%, professional 17.3%. 43.9% of respondents visited buffet styled restaurant 1 to 2 times every three or four months. Some respondents had a positive opinions: they had many choices in food selection, they could take and choose as much as they wanted, the appearance and the arrangement of the food was great, etc. But some also had negative attitudes(i.e. unhappy with self service and expensive prices). Of the respondents, 31.1% said they visited the buffet styled restaurant was for family parties and the average number of the party member was $9.3{\pm}4.3$. The average time period of eating was 1 hour $32{\pm}26$ minutes. The average frequency of taking food was $3.7{\pm}1.2$. The average frequency of taking food after satiety was $1.2{\pm}0.8$. The first selection of the buffet service food was soup 23.9% of the respondents and salad 23.9%. Females chose more of the soups and salads the males chose more of the meats and seafoods. The standard of food selection was 70.7% of 'my favorite'. This tells customers' low cognition level of desirable food selection and the order of a meal. 64.0% of the respondents responded overeating, from mild and extreme. We think that information on nutrition education and health problems are necessary. For better service, 82.9% wanted to lower the price by decreasing similar items. Respondent wanted; one, to increase more Korean food items and make a traditional Korean buffet styled restaurant, two, to use more seasonal food and decrease the redundant food items to reduce the price, and three, to have different price rates according to the age or gender of the grown ups.
Kim, Min-Ju;Park, Sung-Soo;Kim, Dong-Ho;Kim, Keun-Sung
Journal of Food Hygiene and Safety
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v.26
no.3
/
pp.192-197
/
2011
Rice spent water (RSW) is generated when rice is rinsed before cooking. RSW has been discarded into sewerages due to its low usage in our daily life and become a major domestic wastewater for many years. But RSW can be used as a value-added resource because it contains various beneficial bioactive components. Therefore, fermented rice spent water (FRSW) has been already produced in our previous value-added fermentation process. In this study, proximate compositions and contents of other typical fermentation products were compared between RSW and FRSW. Both RSW and FRSW contain approximately 99.3% moisture and 0.7% total solids. Compared to those of RSW on a dry basis, carbohydrate content of FRSW was decreased by 44.8% and crude protein, lipid, and ash contents of FRSW were increased by 16.4%, 18.8%, and 36.6%, respectively. In addition, starch granules of RSW were intact as those of rice flour were, but those of FRSW were not. RSW did not have lactic acid, but FRSW had 212.13 and 181.25 g/kg D- and L-lactic acid, respectively. Free amino and ammoniacal nitrogen contents of FRSW were 12 and 7 times higher than those of RSW, respectively. Lactic acid, free amino, and ammonical nitrogen contents were considered to be increased in FRSW because carbohydrates could be disintegrated into lactic acids and proteins into free amino or ammoniacal nitrogens during the fermentation process.
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