In order to provide stable district heat supplying service to the certain limited residential area, it is the most important to forecast the short-term future demand more accurately and produce and supply heat in efficient way. However, it is very difficult to develop a universal heat demand forecasting model that can be applied to general situations because the factors affecting the heat consumption are very diverse and the consumption patterns are changed according to individual consumers and regional characteristics. In particular, considering all of the various variables that can affect heat demand does not help improve performance in terms of accuracy and versatility. Therefore, this study aims to develop a demand forecasting model using deep learning based on only limited information that can be acquired in real time. A demand forecasting model was developed by learning the artificial neural network of the Tensorflow using past data consisting only of the outdoor temperature of the area and date as input variables. The performance of the proposed model was evaluated by comparing the accuracy of demand predicted with the previous regression model. The proposed heat demand forecasting model in this research showed that it is possible to enhance the accuracy using only limited variables which can be secured in real time. For the demand forecasting in a certain region, the proposed model can be customized by adding some features which can reflect the regional characteristics.
Hocquette, Jean-Francois;Ellies-Oury, Marie-Pierre;Lherm, Michel;Pineau, Christele;Deblitz, Claus;Farmer, Linda
Asian-Australasian Journal of Animal Sciences
/
v.31
no.7
/
pp.1017-1035
/
2018
The European Union (EU) is the world's third largest producer of beef. This contributes to the economy, rural development, social life, culture and gastronomy of Europe. The diversity of breeds, animal types (cows, bulls, steers, heifers) and farming systems (intensive, extensive on permanent or temporary pastures, mixed, breeders, feeders, etc) is a strength, and a weakness as the industry is often fragmented and poorly connected. There are also societal concerns regarding animal welfare and environmental issues, despite some positive environmental impacts of farming systems. The EU is amongst the most efficient for beef production as demonstrated by a relative low production of greenhouse gases. Due to regional differences in terms of climate, pasture availability, livestock practices and farms characteristics, productivity and incomes of beef producers vary widely across regions, being among the lowest of the agricultural systems. The beef industry is facing unprecedented challenges related to animal welfare, environmental impact, origin, authenticity, nutritional benefits and eating quality of beef. These may affect the whole industry, especially its farmers. It is therefore essential to bring the beef industry together to spread best practice and better exploit research to maintain and develop an economically viable and sustainable beef industry. Meeting consumers' expectations may be achieved by a better prediction of beef palatability using a modelling approach, such as in Australia. There is a need for accurate information and dissemination on the benefits and issues of beef for human health and for environmental impact. A better objective description of goods and services derived from livestock farming is also required. Putting into practice "agroecology" and organic farming principles are other potential avenues for the future. Different future scenarios can be written depending on the major driving forces, notably meat consumption, climate change, environmental policies and future organization of the supply chain.
Journal of the Korean Institute of Rural Architecture
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v.12
no.1
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pp.25-32
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2010
The aim of this thesis is to present why the business district of old downtown in Jejusi collapsed and what sort of problems caused by that as collecting objective data, which help us to comprehend how the commercial zone has been decaying, on the physical state of the specific area near 'Sinheungro' and 'Chilsungro', which are main commercial sites in the downtown, and analysing it. Firstly It was revealed that most land investigated was property in which structure was able to built or poor land within $60m^2$. This was caused by increasing in land value and high density in space use so that the area did not develop. Secondly, In addition to be low density, most of buildings in 'Sinheungro' and 'Chilsungro' were so old and inefficient - the old buildings were abandoned without improving due to expensive rent and complicated property rights. Thirdly, According to the survey accomplished, major commercial facilities in the area have struggled with the continuous recession in their business. It was the inevitable result of not having an effective alliance with surrounding retail shops and a lack of a strategic action for satisfying consumers desire or adapting to new shopping patterns. Fourthly, Infrastructure in the site was ruining the beauty of the urban landscape as well as bringing on bad access to the inner city as not having improved enough. Furthermore, many administration departments which were in charge of each infrastructure existed. This was resulted from not considering unification between each infrastructure and regional characteristics of the local community.
Journal of the Economic Geographical Society of Korea
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v.9
no.1
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pp.39-60
/
2006
The value chain is analytically useful for the cultural industry that has the characteristics of both manufacture and service industry, as the focus of value chain analysis moves from manufacturing only to the other stages of activity involved in supplying goods and services to consumers. The aim of paper is to analyse the value chain of the cultural industry in Gyeongbuk, find out the strengths and weaknesses of it, and suggest the ways to enhance the innovation capabilities of cultural industry in Gyeongbuk. First, the firms in advertisement & marketing, and circulation & distribution have low percent in cultural industry and need the low level of human resource, but produce high value-added in value chain; so, we should facilitate the make-up of the firms in advertisement & marketing, and circulation & distribution. Second, we should strengthen inter-firm networks to facilitate the ex-change of the equipment, human resource, information and technology between them. Third, we should construct the system to development human resource with two levels and spread the open atmosphere of firms.
The purpose of this research is to industrialize and to localize traditional culture resources of Andong by developing festival costumes related to 'Andong Mask Dance Festival'. We tried several methods to deliver meanings and images of festival costumes, as followings. Frist, from April, 2009 to October, 2012, we created the new design of the festival costumes after consulting with 7 festival experts about the conditions and characteristics of 'Andong Mask Dance Festival'. The festival costume design is characterized by the detachable parts of clothing based on Han-bok style, the front and back of bodice, right and left side of both sleeves, and pockets, which can be tied up with strings. Therefore the consumers can choose and attach the part they want. Secondly, the newly created festival costumes were evaluated appropriately to the consumer's satisfaction, implementation, practicality, and long-term development possibility according to the survey of 85 participants who were, in fact, wearing the festival costumes in the festival. The results are as follows: Frist, festival costumes are based on Korean traditional costumes, and it appears wearing object as festival costumes. Secondly, traditional beauty and modern beauty are well matched up, so men and women of all ages are possible to wear. Thirdly, size of costume can be controlled, so it's easy to wear. Finally, construction method is very simple. The possibility of long-term development by various material development is needed.
As "Made in Korea" has high branding power in the fashion industry, domestic clothing manufacturers also need to consider branding the country of origin. Therefore, the purpose of this study was to reconsider the need for a domestic certification system and suggest a direction by analyzing apparel origin certification systems operating overseas. The results of this study could be used for planning certification standards and operating methods suitable for regional characteristics and industrial environments when establishing a certification system for clothing produced in Korea. The case study subjects were Japan's J∞ Quality, USA's Made in New York, Italy's 100% Made in Italy, and France's Origin France Guarantee has been classified as certification criteria related to the country of origin include items related to the production process rate in the region and the production area for each production process/stream. Manufacturing technology and design are used for quality standards, safety, hygiene compliance, production facilities, and quality control and are applied to working environment standards. The certification system selects and operates standards according to each country's industrial environment, certification subject, and purpose. Therefore, when designing a domestic apparel certification system, a feasible promotion plan should be established that considers the current state of the domestic industry, which will serve as a driving force for the growth of the apparel manufacturing industry and an opportunity to increase the trust of global fashion consumers.
Currently in the drought evaluation, which is a supplier-oriented standard that applies storage rates of reservoirs, evaluation for users that use agricultural water is not done. Therefore, this study established drought evaluation items for drought evaluation based on farmers' judgement, conducted a survey on farmers and experts, compared and analyzed weighted value between two groups, and then classified the evaluation standards per each evaluation item. The agricultural drought evaluation items are 5 major items of water supply lapse rate, agricultural weather, agricultural irrigation facility, crop and soil, and 12 subsections for regional characteristics and opinions of consumers that use water to be reflected. The result of analyzing weighted value of farmers and experts' major items shows that farmers is agricultural irrigation facility(0.219), water supply lapse rate(0.211), agricultural weather(0.204), crop(0.183) and soil(0.183). Experts is agricultural weather(0.297), agricultural irrigation facility(0.202), water supply lapse rate(0.189), crop(0.162) and soil(0.150), which displays difference between the two groups. The agricultural drought criteria standards are established based on precedent studies and cases, and grades of evaluation items are 1st grade(extreme stage), 2nd grade(warning stage), 3rd grade(alert stage) and 4th grade(attention stage). The above analysis per each consumer-oriented agricultural drought evaluation item and the analysis on the standards of evaluation grades are expected to be used as a basic resource for establishing agriculture drought policy and selecting drought area in the future.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
/
2022.05a
/
pp.322-323
/
2022
The most necessary thing for the optimal operation of a water purification plant is to accurately predict the pattern and amount of tap water used by consumers. The required amount of tap water should be delivered to the drain using a pump and stored, and the required flow rate should be supplied in a timely manner using the minimum amount of electrical energy. The short-term demand forecasting required from the point of view of energy optimization operation among water purification plant volume predictions has been made in consideration of seasons, major periods, and regional characteristics using time series analysis, regression analysis, and neural network algorithms. In this paper, we analyzed energy management methods through AI-based complex sensor applicability analysis such as LSTM (Long Short-Term Memory) and GRU (Gated Recurrent Units), which are types of cyclic neural networks.
Purpose - Since the local liquor industry uses the agricultural products produced in the region as the main raw material, cultivation of the industry can be a way to expand the demand for domestic agricultural products and can contribute to the income increase of the farmers. In addition, the local liquor industry can be developed into a region-specific industry differentiated from other regions by linking with the region's tourism resources. Therefore, in order to achieve various derivative effects through promotion of the local liquor industry, it is necessary to precisely understand the factors related to the purchase and consumption of local liquor which then will lead to an increase in consumption. This study analyzes the current status and problems of local liquor industries and examines the determinants of consumers' purchasing decisions of regional specialties through questionnaires. We will then propose a strategy to promote consumption of locally produced alcoholic beverages. Research design, data, and methodology - An online Domestic Consumer Survey was conducted to identify the actual purchases and uses of local liquors for 500 consumers nationwide. Based on the questionnaire results, the analysis uses an ordered probit model. Results - As a result of analyzing the effect of consumer characteristics on the purchase of local liquors, it was found that the average cost of drinking, income, local specialty, brewery experience, and health concerns have a significant effect on gender, drinking frequency. All the variables except the participation in the training of the special provincial manufacturing method were found to be statistically significant. The statistical significance was at a 1% significance level for the remaining factors excluding the bottle design. This shows that the higher taste, quality, price, and harmony with food, the higher the probability of purchasing local liquors. Conclusions - In the analysis of factors influencing the purchase intention of local liquors, it was found that factors such as taste, quality, price, and harmony with food had a significant effect. Given the diversity of purchasing factors, the importance of diversification strategies is emphasized again. In particular, it will be important to secure wide publicity for local liquors through various PR strategies.
This study of purpose is to examine the efficiency through the current status and performance of each institution providing the Daegu community service investment project, and to find a direction for the efficient operation of each institution. In order to promote efficient and effective project promotion by checking the management status that meets the purpose of the local community service investment project, to provide systematic services necessary to consumers, improve quality, and improve the environment, the accurate situation and situation through the efficiency analysis of the service provider organization It is necessary to identify problems, develop programs suitable for regional characteristics, and actively manage services. Specifically, it seeks to provide a more stable and sustainable local community service by measuring efficiency based on information from each institution and comparing and analyzing it among local governments. For this purpose, it is meaningful in analyzing the efficiency of each institution by using the DEA (data envelope analysis) method and presenting the goals and policy implications for efficient operation by comparing them by local government.
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