• Title/Summary/Keyword: Development and use of models

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A Study on the Application and Formation of the Rural Village Model for the Rural Village (Re)development (농촌마을 계획.정비를 위한 농촌마을모델 형성에 관한 연구)

  • Im, Seung-Bin;Jo, Sun-Jae;Park, Chang-Seok
    • Journal of Korean Society of Rural Planning
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    • v.2 no.2
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    • pp.57-66
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    • 1996
  • The purpose of this study is to suggest the rural village model which is able to be applied to the rural village (re)development. The rural village model consists of five sector models land use model, residential unit model, public facilities allocation model, productive space arrangement model, road & green system model. The village model as a spatial structure needs modification/revision through the its application to various sites. The following are suggestions developed in the process of preparing a model for the Korean rural village. First, some indices presented in the land use model need to be further studied as the planning indices before implementing the rural village projects. Second, it is recomended that the image of a rural village needs to be created by developing the residential unit(6 households) as a planning development unit, And various residential unit models need to be suggested. Third, it is desirable to develop the double circulation system and green edge(1 m), and to introduce pedestrian road as much as possible for the amenity of the residential environment, Fourth, being located within walking distance from the existing village, new-introduced site should be developed as a interlinked and opened structure. The rural village model is useful in preparing the spatial structure for the village (re)development, and in finding the best design solution responsive to the conditions of a project site.

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Proposal on the Leisure life Cycle Model by Approaching life Cycle of Leisure Activity (여가에 대한 생애주기 관점과 여가생활주기 단계별 모형 개발)

  • Yoon, So-Young
    • Journal of Families and Better Life
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    • v.28 no.4
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    • pp.103-115
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    • 2010
  • This study approached the leisure with the step of life cycle, analyzing the process of leisure career and leisure development in individual life. The leisure life cycle leads the other related studies by examining the concepts of continuity, change, leisure socialization, and leisure career. It also analyzes the patterns and the structures of the use of life time, using '2004 Time Use Survey' from the Korea National Statistical Office. As a result, this study suggests new 3 steps of leisure life cycle: participating and expanding stages, selective and concentrating stage, and continuing and absorbed stage. These steps set up the goal of leisure program by the periods. They also can help setting the direction of leisure activities, and can be used as basic data that can make up the leisure activity program models step by step. Moreover, the development of model can be used as valuable information to draw up the plans that can prepare for aging society and demand the support of policy.

Development of Deep Learning Models for Multi-class Sentiment Analysis (딥러닝 기반의 다범주 감성분석 모델 개발)

  • Syaekhoni, M. Alex;Seo, Sang Hyun;Kwon, Young S.
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.149-160
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    • 2017
  • Sentiment analysis is the process of determining whether a piece of document, text or conversation is positive, negative, neural or other emotion. Sentiment analysis has been applied for several real-world applications, such as chatbot. In the last five years, the practical use of the chatbot has been prevailing in many field of industry. In the chatbot applications, to recognize the user emotion, sentiment analysis must be performed in advance in order to understand the intent of speakers. The specific emotion is more than describing positive or negative sentences. In light of this context, we propose deep learning models for conducting multi-class sentiment analysis for identifying speaker's emotion which is categorized to be joy, fear, guilt, sad, shame, disgust, and anger. Thus, we develop convolutional neural network (CNN), long short term memory (LSTM), and multi-layer neural network models, as deep neural networks models, for detecting emotion in a sentence. In addition, word embedding process was also applied in our research. In our experiments, we have found that long short term memory (LSTM) model performs best compared to convolutional neural networks and multi-layer neural networks. Moreover, we also show the practical applicability of the deep learning models to the sentiment analysis for chatbot.

Neutral Reference Model for the Sharing and Propagation of Engineering Change Information in a Collaborative Engineering Development (협업 개발 내 설계 변경 정보의 공유 및 전파를 위한 중립 참조 모델)

  • Hwang, Jin-Sang;Mun, Du-Hwan;Han, Soon-Hung
    • Korean Journal of Computational Design and Engineering
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    • v.13 no.4
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    • pp.243-254
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    • 2008
  • As modular production becoming increasingly widespread in globalized manufacturing industries, sub modules or parts of the final product are being provided by many suppliers. Some part suppliers design their own products for themselves. In some cases, part suppliers provide the same type of product to multiple OEM companies. Because all part suppliers and OEM companies typically cannot use the same CAD system, engineering change in the CAD model of one company cannot be directly propagated to related CAD models of other companies. Even if two companies use the same CAD system, it may be difficult to share their CAD model owing to corporate security policy. In this paper, a neutral reference model that consists of a neutral skeleton model and an external reference data model is proposed as a new medium for the sharing and propagation of engineering change information among collaborating companies.

Mechanistic Target of Rapamycin Pathway in Epileptic Disorders

  • Kim, Jang Keun;Lee, Jeong Ho
    • Journal of Korean Neurosurgical Society
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    • v.62 no.3
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    • pp.272-287
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    • 2019
  • The mechanistic target of rapamycin (mTOR) pathway coordinates the metabolic activity of eukaryotic cells through environmental signals, including nutrients, energy, growth factors, and oxygen. In the nervous system, the mTOR pathway regulates fundamental biological processes associated with neural development and neurodegeneration. Intriguingly, genes that constitute the mTOR pathway have been found to be germline and somatic mutation from patients with various epileptic disorders. Hyperactivation of the mTOR pathway due to said mutations has garnered increasing attention as culprits of these conditions : somatic mutations, in particular, in epileptic foci have recently been identified as a major genetic cause of intractable focal epilepsy, such as focal cortical dysplasia. Meanwhile, epilepsy models with aberrant activation of the mTOR pathway have helped elucidate the role of the mTOR pathway in epileptogenesis, and evidence from epilepsy models of human mutations recapitulating the features of epileptic patients has indicated that mTOR inhibitors may be of use in treating epilepsy associated with mutations in mTOR pathway genes. Here, we review recent advances in the molecular and genetic understanding of mTOR signaling in epileptic disorders. In particular, we focus on the development of and limitations to therapies targeting the mTOR pathway to treat epileptic seizures. We also discuss future perspectives on mTOR inhibition therapies and special diagnostic methods for intractable epilepsies caused by brain somatic mutations.

UK Social Housing and Housing Market in England: A Statistical Review and Trends

  • Schmickler, Arno;Park, Kenneth Sungho
    • Land and Housing Review
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    • v.5 no.3
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    • pp.193-201
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    • 2014
  • Around 80% of the 63 million people in the UK live in urban areas where demand for affordable housing is highest. Supply of new dwellings is a long way short of demand and with an average annual replacement rate of 0.5% more than 80% of the existing residential housing stock will still be in use by 2050. A high proportion of owner-occupiers, a weak private rental sector and lack of sustainable financing models render England's housing market one of the least responsive in the developed world. As an exploratory research the purpose of this paper is to examine the provision of social housing in the United Kingdom with a particular focus on England, and to set out implications for housing associations delivering sustainable community development. The paper is based on an analysis of historical data series (Census data), current macro-economic data and population projections to 2033. The paper identifies a chronic undersupply of affordable housing in England which is likely to be exacerbated by demographic development, changes in household composition and reduced availability of finance to develop new homes. Based on the housing market trends analysed in this paper opportunities are identified for policy makers to remove barriers to the delivery of new affordable homes and for social housing providers to evolve their business models by taking a wider role in sustainable community development.

Developing Optimal Demand Forecasting Models for a Very Short Shelf-Life Item: A Case of Perishable Products in Online's Retail Business

  • Wiwat Premrudikul;Songwut Ahmornahnukul;Akkaranan Pongsathornwiwat
    • Journal of Information Technology Applications and Management
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    • v.30 no.3
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    • pp.1-13
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    • 2023
  • Demand forecasting is a crucial task for an online retail where has to manage daily fresh foods effectively. Failing in forecasting results loss of profitability because of incompetent inventory management. This study investigated the optimal performance of different forecasting models for a very short shelf-life product. Demand data of 13 perishable items with aging of 210 days were used for analysis. Our comparison results of four methods: Trivial Identity, Seasonal Naïve, Feed-Forward and Autoregressive Recurrent Neural Networks (DeepAR) reveals that DeepAR outperforms with the lowest MAPE. This study also suggests the managerial implications by employing coefficient of variation (CV) as demand variation indicators. Three classes: Low, Medium and High variation are introduced for classify 13 products into groups. Our analysis found that DeepAR is suitable for medium and high variations, while the low group can use any methods. With this approach, the case can gain benefit of better fill-rate performance.

Analysis of Consciousness and Model on Land for the Another use After Quarrying (채석장의 부지 활용에 대한 의식 및 모델 분석)

  • Park, Jae Hyeon
    • Journal of Korean Society of Forest Science
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    • v.101 no.3
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    • pp.387-394
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    • 2012
  • The study was conducted to develop an effective forest resources use models for an alternate use of abandoned quarry by an attitude survey. According to the result of survey, a pessimistic view due to dust, noise pollution, and forest damage was 5% higher than an affirmative view by economic benefits from the development of quarry. The 42% of the respondents preferred the alternate use of abandoned quarry and the 25% of the respondents wanted an art and cultural space. The optimum size of alternate use was 5-10 ha (43%) with the requirement of nearby residents (32%). According to the SWOT analysis for abandoned quarry, the strength factors were an effective use of land, the content development of modern industrial inheritance + cultural and art fusion, attraction for nearby city and visitors, a harmony of beauty landscape and clean environment, and a sustainable increase of domestic and foreign visitors with the 5-day-work week. The opportunity factors were the improvement of traffic networks through KTX and local highway, the creation of the new growth engines with the establishment of artistic creation belts, the providing of unique cultural and art space through grafting of tour and education, the creation of local income through stone processed goods, and the vitalization of local development through eco-city. The weakness factors were a psychological remoteness and backwardness, and the weakness of staying tour infra. The threat factors were a poor financial support for sustainable development in nearby quarry and a modify of legal and institutional system for the alternated use of abandoned quarry. The developed restoration models for the alternate use in abandoned quarry are classified to a sculpture park, a waterfall and lake park, a rock-climbing, a sports park + forest park, a native botanical garden, a culture and art park, a complex park, a water storage site, a water storage site to extinguish forest fire, a geriatric hospital, an agricultural facility, and a school site types etc. The results suggest that the alternate use in the abandoned soil and stone quarry is needed to establish facility use models with consideration of user's preference.

A Study on the Development of Education Service Models Using Presidential Archives based on Ubiquitous Technology (대통령기록물을 활용한 유비쿼터스 기반의 교육서비스 모형 개발)

  • Shim, Gab-Yong;Lim, Ji-Hoon;Park, Jong-Ok;Song, Na-Ra;Jang, Hyo-Jeong;Kim, Yong
    • Journal of Korean Society of Archives and Records Management
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    • v.15 no.1
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    • pp.127-155
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    • 2015
  • This study proposes the formation of education service models using presidential archives based on ubiquitous technology. To accomplish these, this study analyzed various education programs of presidential archives in Korea and other countries. The reason behind the use of ubiquitous technology is to allow interinstitution cooperation and create synergy effects. With this, this technology is grafted onto the modified BIG6 Model, which is developed for information literacy. This study can be useful and valuable in the aspects of education, contents development, and service development.

Functioning of Economic Systems in the Context of Their Potential Development in the Conditions of Circular Economy

  • Pohrebniak, Anna;Petrashko, Liudmyla;Dovgopol, Nina;Ovsiuchenko, Yurii;Berveno, Oksana
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.309-315
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    • 2021
  • The purpose of the article is to analyze the functioning of economic systems in the context of the development of their potential in a circular economy. It is determined that the functioning of economic systems to ensure their sustainability should meet modern challenges and provide for the formation of competitive institutional architecture, the introduction of structural and regulatory innovations, the transition to an innovative model of development. The specific principles of functioning of economic systems include openness, nonlinearity, multivectority, dynamism, emergence, uncertainty about the development of economic processes. It is substantiated that the linear nature of development and equilibrium are not dominant in the functioning of economic systems, and increasing the level of economic efficiency should go hand in hand with minimizing the activities of enterprises, which necessitates the use of circular economy. The main prerequisites for the transition to a circular economy are analyzed. It is determined that the basic concept of the circular economy involves the development of a system of production and consumption, which is based on processing, reuse, repair, product sharing, change of consumption patterns and new business models and systems. The main elements of the circular economy include: a closed cycle, the use of renewable energy sources, systems thinking. The correlation of the principles of sustainable development and the peculiarities of the application of the circular economy is analyzed. It is determined that the circular economy contrasts with the traditional linear economic model, which is based on the model of "take-do-consume-throw away". The advantages and disadvantages due to the use of the principles of circular economy are given. Based on the study, steps are identified to accelerate the transition from a linear economy to a circular economy.