• Title/Summary/Keyword: Regional classification

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Classification and Preparation of checklist of ecological and cultural resources of rural area in point of Green tourism

  • Kim, Bum-Soo
    • Journal of Environmental Science International
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    • v.12 no.2
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    • pp.145-149
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    • 2003
  • This study was carried out to present rural functional resources through classification and preparation of checklist for ecological and cultural resources which considered various aspect of agriculture and rural area. In this study the function of ecological and cultural resources classified 6 functions such as natural environment, free environmentally agricultural products, experience of agricultural products, recreational places, rural life experience, and Interchanges of human resources. Prepared evaluation list through this study can explain a local characteristics based on 6 functions of agricultural and mountain village. This evaluation list was focused on the magnitude of the resources which motivate the visiting of city-dweller as a consumer, for an actual regional plan, investigation of the inhabitant consciousness survey should be needed, simultaneously.

Text Categorization with Improved Deep Learning Methods

  • Wang, Xingfeng;Kim, Hee-Cheol
    • Journal of information and communication convergence engineering
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    • v.16 no.2
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    • pp.106-113
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    • 2018
  • Although deep learning methods of convolutional neural networks (CNNs) and long-/short-term memory (LSTM) are widely used for text categorization, they still have certain shortcomings. CNNs require that the text retain some order, that the pooling lengths be identical, and that collateral analysis is impossible; In case of LSTM, it requires the unidirectional operation and the inputs/outputs are very complex. Against these problems, we thus improved these traditional deep learning methods in the following ways: We created collateral CNNs accepting disorder and variable-length pooling, and we removed the input/output gates when creating bidirectional LSTMs. We have used four benchmark datasets for topic and sentiment classification using the new methods that we propose. The best results were obtained by combining LTSM regional embeddings with data convolution. Our method is better than all previous methods (including deep learning methods) in terms of topic and sentiment classification.

The Succession of a Traditional Landscape Style in Yanjing Eight Scenery

  • Geng, Xin;Zhang, Junhua;Akasaka, Makoto;Aoki, Yoji
    • Proceedings of the Korean Institute of Landscape Architecture Conference
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    • 2007.10b
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    • pp.151-156
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    • 2007
  • The Eight Scenery, as a traditional landscape to today, gradually caught the concern of landscape scholars, as well became the mutual cultural wealth of South Korea, China and Japan even of the whole Asia. The Yanjing Eight Scenery firstly originated from the Jin dynasty is an important representation of Eight Scenery culture in Scenic Spots and Historical Sites of China. The transition process of Yanjing Eight Scenery is examined in this thesis, and the cause of such change is also analyzed. Moreover, the landscape content of Yanjing Eight Scenery is classified in detail, and the succession of the landscape architecture of the Yanjing Eight Scenery style under the traditional culture is analyzed from the aspects of rebuilding pavilion, landscape arrangement, building, and new landscape architecture rebuilt followed the religious, the plant landscape and the traditional culture based on the classification. Beijing regional culture has influenced Yanjing Eight Scenery by its classification, the landscape evaluation, and the analysis of the landscape feature, in addition, this paper searches for the model to research the Eight Scenery culture in each country of Asia.

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Suicide Mortality Across Broad Occupational Groups in Greece: A Descriptive Study

  • Alexopoulos, Evangelos C.;Kavalidou, Katerina;Messolora, Fani
    • Safety and Health at Work
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    • v.7 no.1
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    • pp.1-5
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    • 2016
  • Background: Several studies have investigated the relationship between specific occupations and suicide mortality, as suicide rates differ by profession. The aim of this study was to investigate suicide mortality ratios across broad occupational groups in Greece for both sexes in the period 2000-2009. Methods: Data of suicide deaths were retrieved from the Hellenic Statistical Authority and comparative mortality ratios were calculated. Occupational classification was based on the International Classification of Occupations (ISCO-88) and the coding for Intentional self-harm (X60-X84) was based on the international classification of diseases (ICD-10). Results: Male dominant occupations, mainly armed forces, skilled farmers and elementary workers, and female high-skilled occupations were seen as high risk groups for suicide in a period of 10 years. The age-productive group of 30-39 years in Greek male elementary workers and the 50-59 age-productive group of Greek professional women proved to have the most elevated number of suicide deaths. Conclusion: Further research is needed into the work-related stressors of occupations with high suicide mortality risk and focused suicide prevention strategies should be applied within vulnerable working age populations.

A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia

  • Hakim, Wahyu Luqmanul;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1303-1322
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    • 2020
  • Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.

A Basic Study on the Introduction Facilities of Agriculture and Rural Areas for the Establishment of the Rural Space Plan (농촌공간계획 수립을 위한 농업·농촌 도입 시설에 관한 기초연구)

  • Kim, Yong-Gyun;Kim, Sang-Bum
    • Journal of Korean Society of Rural Planning
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    • v.30 no.2
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    • pp.25-34
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    • 2024
  • This study is a basic study for reorganizing the facility system of agriculture and rural areas necessary for establishing a rural spatial plan. Accordingly, the newly implemented rural spatial planning system was briefly reviewed. As the scope of the study, the facility-related laws and the classification and classification system of facilities of previous studies were set as the scope of the study. In order to reorganize the facility system in rural areas necessary for establishing a rural space plan, this study compared and analyzed the facilities according to the laws related to the facilities and the use of previous studies. As a result of analyzing 21 target sites for rural agreements with 12 sectors of service facilities in rural areas as indicators, 14 facilities in 8 sectors were found to be commonly introduced for the establishment of living areas in rural areas or regional development. However, the classification of production space facilities related to agriculture as functional facilities necessary for rural life was insufficient. Accordingly, when considering the specificity of rural areas, it is necessary to classify facilities of living spaces in rural areas and production space of agriculture according to their use.

The Classification and Regional Development's Direction of Rural Fishing Area Based on Administrative District (행정구역에 기초한 어촌지역의 유형구분과 지역개발방향)

  • Kim, Jung-Tae
    • Journal of Korean Society of Rural Planning
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    • v.19 no.4
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    • pp.81-93
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    • 2013
  • The selection of land for fishing village development project, and the standard used to classify fishing villages has been determined based on the guidelines developed by fishing village cooperatives. The approach fishing village cooperatives follows is likely to classify fishing villages without first reflecting on the overall development environment of the region, such as other industries and workers in the area. It also acts as a barrier for business promotion or evaluation, because the cooperatives do not match the administrative districts, which are the units of administration, and the main policy enforcement agent in regional development. Against this background, this study aimed to identify categories to situate the development direction, as well as the size and distribution of fishing villages based on eup, myeon, and dong administrative units as defined by the Fishing Villages and Fishery Harbors Act. This study was based on the Census of Agriculture, Forestry, and Fisheries of 2010, and analyzed 826 eups, myeon, and dongs with fishery households using the principal component analysis, and 2-Step cluster analysis methods. Therefore, 95% of the variance was explained using the covariance matrix for types of fishing villages, but it was analyzed as one component focusing on the number and ratio of fishery households, and used the cluster-type analysis, which focused on the sizes of fishing villages. The clusters were categorized into three types: (1) the development type based on the number of fishermen in the eups, myeons and dongs was analyzed as village size (682); (2) administrative district size (121); and (3) total eups, myeons and dongs (23), which revealed that the size of most fishing villages was small. We could explain 73% of the variance using the correlation coefficient matrix, which was divided into three types according to the three principal component scores, namely fishery household power, fishery industry power, and fishing village tourism power. Most fishing villages did not have a clear development direction because all business areas within the region were diversified, and 552 regions could be categorized under the harmonious development type, which is in need of balanced development. The fishery industry type typified by industrial strength included 159 regions in need of an approach based on industrialization of fishery product processing. Specialized production areas, which specialized in producing fishery products, were 115 regions with a high percentage of fishermen. The analysis results indicated that various situations in terms of size and development of fishing villages existed. However, because several regions exist in the form of small village units, it was necessary to approach the project in a manner that directed the diversification of regional development projects, such as places for local residents to relax or enjoy tourism experiences within the region, while considering the overall conditions of the relevant eups, myeons, and dongs. Reinforcement of individual support for fishermen based on the Fisheries Act must take precedence over providing support for fishermen through regional development. In addition, it is necessary to approach the development of fishing villages by focusing on industrializing the processing techniques of fishery products. Areas specialized in the production of fishery products are required to consider the facilities for fisheries production, and must make efforts to increase fishery resources, such as releasing fry.

Multinomial Logit Modeling: Focus on Regional Rail Trips (다항로짓모형을 이용한 지역간 철도통행 연구)

  • Kim, Gyeong-Tae;Lee, Jin-Seon
    • Journal of Korean Society of Transportation
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    • v.25 no.1 s.94
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    • pp.109-119
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    • 2007
  • Increasingly, the emphasis in regional Passenger rail Planning is finding ways to more efficiently use existing facilities, with particular attention being Paid to Policies designed to spread Peak-Period travel demand more evenly throughout the week with consideration of train classification. In this context the individual's choice of time to travel is of crucial significance. This paper investigates the use of multinomial logit analysis to model ridership by rail classification using data collected for travel from Seoul to Busan during the one week in October 2004. The Particular model form that was successfully calibrated was the multinomial logit (MNL) model : it describes the choice mechanism that will Permit rail systems and operations to be planned on a more reliable basis. The assumption of independently and identically distributed(IID) error terms in the MNL model leads to its infamous independence from irrelevant alternatives (IIA) property. Relaxation of the IID assumption has been undertaken along a number or isolated dimensions leading to the development of the MNL model. For business and related rail travel patterns, the most important variables of choice were time and frequency to the chosen destination. The calibrated model showed high agreement between observed and Predicted market shares. The model is expected to be of use to railroad authorities in Planning and determining business strategies in the Increasingly competitive environment or regional rail transport.

Optimum Allocation Modelling of Rural Facilities by Decision-Making Technique - With Special Reference to Agricultural-cum-Industrial Complex- (의사결정기법을 이용한 농촌지역시설 적정입지선정 모델 - 농공단지를 중심으로 -)

  • Choe, Su-Myeong;Kim, Yeong-Ju;Hwang, Han-Cheol
    • Journal of Korean Society of Rural Planning
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    • v.4 no.1
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    • pp.98-107
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    • 1998
  • For efficient development of rural facilities, choice of their optimum locations would be an important issue, however, existing research works concentrated much more an allocation policy of urban industrial complex and public facilities than rural ones. In this study, because agricultural-cum-industrial complex has been the most widely developed representative one of rural facilities, it was selected as a case study facility. As a pre-study to system development, existing governmental location-decision system was checked and interviewing survey carried out to find out on-spot problems. And, being based on literature review and survey analysis results, 4-step optimum locational decision model was developed , formulation of locational goal system, ranking tabulation on components, determination of significance values of components, calculation of component scores. Finally, through the case study works on 3 sites, system applicability was checked, Considering together the simplicity problem of existing guidelines and the interviewing survey results favoring the diversified viewpoints, it would be necessary to develop multifaceted support system for locational decision making. 3-tier classification steps from the higher, middle to lower one were used and their underpinning viewpoints were sorted as on regional development, entrepreneurship, spatial rationality, from which a tentative locational goal system was formulated. Through the expert group checking, final locational goal system was determined having 3 of the higher classification items, 7 of the middle ones, 23 of the lower ogles. For ranking tabulation, 3 types of ranking criteria were arranged which were based on statistical analysis using mean and standard deviation(Type I ), its existence or not 1 good or not(Type E ), and the others(Type E ). From the significance evaluation results, regional development and entrepreneurship aspects were valued much higher than spatial rationality aspect. And, in the middle step, items as spread effects of regional economy, accessibility and social potentialities were highly valued while infrastructural development level and natural condition being low. The application results of the system to 3 case study total. However, the detailed ones differed among study the influencing effects on regional economy, and contrast greater the infrastructural development level. Conclusively, final evaluation values well represented the characteristics of each area. If this system be complemented and applied comprehensively by the successive studies, it would be developed to a general model of locational decision supporting system for rural facilities.

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