• International Journal of High-Rise Buildings
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• v.10 no.1
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• pp.9-16
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• 2021

Being the origin of Shanghai City, the Old Town presents a high-density spatial texture, a characteristic of local living conditions in the Shanghai context. However, the Old Town is faced with competing interests: the preservation of historic urban features and the improvement of contemporary living conditions. In view of its high density and poor living conditions, this paper focuses on two types of blocks for urban design research, and proposes two spatial regeneration strategies, as "overlapping lilong" and "texture continuity". It is expected to inherit the regional characteristics of urban space, improve the plot ratio and supplement the mix of functions, through the translation of the traditional lilong typology and the reproduction of historical streets and alleys, so as to provide operable spatial strategies and design methods for the organic renewal of Old Town and other historic districts.

• Korean Institute of Interior Design Journal
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• v.17 no.1
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• pp.110-119
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• 2008

A lobby of a hotel is an important space by which the image of a hotel as a whole, the brand-identity, is determined. This study has researched and analyzed the special property in presentation of a landmark in a hotel lobby for its spatial factors, which affects visual cognition, and it is to provide information that can set out the foundation of space design for the appropriate landmark in a certain hotel lobby corresponding to the unique characteristics of a hotel. The regional range of this study includes the lobby spaces of 10 five-star hotels in Shanghai China and Seoul Korea. The types of spatial factors as landmarks and manifestation of those, which affect the visual cognition of the users are the range of context in this study. For this study, field-study and survey were both used in research. The results that have been concluded through this study are as follow. First, manifestational quality of a landmark in a hotel lobby is represented in its size, figure and contrast of 'shape', in its visibility and territory of 'space' and in its symbolic value and historical property of 'meaning', and each of those factors are related to the others. Secondly, the types of spatial factors in a landmark are displayed as being focused on the openness of the space or with large-scaled spatial factors. Light and lumination intensify the manifestation of various spatial factors in a landmark. Thirdly, each representational characteristic of spatial factors in a landmark, which are closely linked to each other should be controlled precisely in order to bring out functional and symbolic feature of a hotel lobby.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.147-154
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• 2006

The final purpose of this study is to explore morphological change of Shenyang in the period of the rising Chung Dynasty. For that purpose we have tried to build the historical GIS DB of site and analysis of the structure and shape pattern of the city by using the functions of GIS. From the view of spatial structure and cultural context, main characteristics, which is derived from the analysis of ancient map of Shenyang, can be summarized into five things as follows ; transformation of open spatial structure into closed structure, combination of horizontal spatial structure with vertical structure, transformation of practical spatial structure into symbolic structure, transformation of natural spatial structure into institutional form of ancient Chinese capital city, conservation of traditional Manchurian culture.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.538-561
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• 2020

Recommender Systems (RecSys) have a major role in e-commerce for recommending products, which they may like for every user and thus improve their business aspects. Although many types of RecSyss are there in the research field, the state of the art RecSys has focused on finding the user similarity based on sequence (e.g. purchase history, movie-watching history) analyzing and prediction techniques like Recurrent Neural Network in Deep learning. That is RecSys has considered as a sequence prediction problem. However, evaluation of similarities among the customers is challenging while considering temporal aspects, context and multi-component ratings of the item-records in the customer sequences. For addressing this issue, we are proposing a Deep Learning based model which learns customer similarity directly from the sequence to sequence similarity as well as item to item similarity by considering all features of the item, contexts, and rating components using Dynamic Temporal Warping(DTW) distance measure for dynamic temporal matching and 2D-GRU (Two Dimensional-Gated Recurrent Unit) architecture. This will overcome the limitation of non-linearity in the time dimension while measuring the similarity, and the find patterns more accurately and speedily from temporal and spatial contexts. Experiment on the real world movie data set LDOS-CoMoDa demonstrates the efficacy and promising utility of the proposed personalized RecSys architecture.

• Journal of Environmental Impact Assessment
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• v.19 no.6
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• pp.591-605
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• 2010

Cool roofs are currently being emerged as one of important mechanism to save energy in relation to the building. This paper reviews worldwide experiences (USA, Japan and EU etc) for the potential benefits cool roofs offer in relation to building energy saving for comparison purposes. It is confirmed that there is a significant potential to the energy saving by introducing the cool roof in a Korean climate because of similarity in terms of HDD (Heating Degree Day) and CDD (Cooling Degree Day) as those countries reviewed. Such a comparative study highlights that the type of measurements performed and the quantitative parameters reported from the countries should be standardized in Korean context in order to implement further comparable experiments for scientifically sound investigations. It is anticipated that this research output could be used as a valuable reference in implementing a Nation-wide cool roofing strategy in the central and local governments since a suitable technical, more objective direction has been proposed based on the measured, fully quantitative performance of the involved components of a cool roof system in the global context. From this critical review, a very important step has been made concerning the practicality of cool roof in Korean context. Ultimately, the suggestion in this paper will greatly contribute to opening new possibilities for introducing cool roof in this country, proposed as an initial aim of this paper.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.65-67
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• 2010

위치기반서비스(LBS)는 사용자의 위치를 기반으로 다양한 정보제공 서비스를 하고 있다. 최근 연구에서는 단순한 정보제공이 아닌 사용자의 상황인식(Context-Aware)을 통하여 사용자에게 적합한 정보를 제공해주는 지능화된 서비스를 제공하고 있다. 하지만 현재 연구들은 사용자의 기본정보와 선호도정보를 이용한 단일기준 추론을 통하여 사용자에게 정보를 제공해주고 있으며, 이것은 사용자의 다양한 기준의 의사결정을 반영하지 못하는 한계점이 있다. 이러한 한계점을 극복하기 위하여 본 연구에서는 사용자의 정보, 선호도, 공간지리선호도 정보 Ontology를 구축하고, 의사 결정 기준에 가중치를 부여하는 Cost Value Ontology를 구축하여, 다 기준 의사추론을 통해 사용자에게 적절한 추천 결과가 도출되는 Ontology 추론시스템을 제안한다. 사용자들의 개인적인 특성 지식과 공간지리 선호도 지식을 구축할 수 있으며, 이러한 특성으로 구축된 지식 기반 하에 입력된 사용자 정보와 추론을 통하여 이 시스템을 통해 사용자의 선호도 Ontology를 구축할 수 있으며 이를 이용한 추론을 통하여 사용자의 현재상황에 적합한 결과를 도출함을 보였다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.06a
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• pp.67-68
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• 2010

위치 기반 서비스(LBS)는 유비쿼터스(Ubiquitous) 시대에 필요한 핵심 엔진으로 그 중요성이 논의되어 왔다. LBS 시스템은 GPS 뿐만 아니라 휴대폰을 통한 고속 인터넷 접속을 사용하여 사용자의 위치 추적과 같은 기술이 현재 서비스된다. 그러나 소프트웨어 측면에서 대부분의 위치 기반 서비스는 서비스 제공자 위주의 일부 특정 상황을 가정한 서비스 모델 또는 사전에 정의된 일정 지역과 한정된 상황에서의 상황 인식(Context Aware) 서비스 제공이 대부분이다. 그러나 이러한 방법론들은 현실 적용이 어려운 문제점이 제기되고 있다. 본 연구에서는, 사용자들의 상환인식을 통하여 사용자의 특성 지식과 공간지리 선호도 지식 정보 추론을 통한 Geo-Ontology통합시스템을 제시한다. 본 연구에서는 Geo-Ontology통합시스템 중에서 사용자의 상황인지기반 LBS시스템을 제시한다. 사용자들의 개인적인 특성 지식과 공간지리 선호도 지식을 구축할 수 있으며, 이러한 특성으로 구축된 지식 기반 하에 입력된 사용자 정보와 추론을 통하여 사용자의 현재 상황에 대한 가장 적절한 추천 결과가 도출되는 프로토타입 시스템을 제공 할 수 있음을 보였다.

• World Technopolis Review
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• v.7 no.1
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• pp.44-58
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• 2018

The successful development of science parks is dependent on the relevance and delivery of a range of value propositions they offer to their stakeholders. Experience has shown that the benefits of these value propositions are 'place based' and 'time dependent', influenced by the prevailing technology, social and business environments in which they operate, and the relationship that is developed between entrepreneurs, corporates, academia and government in creating these projects, and their performance is dependent on economic, physical and networking assets they create and deploy. This paper looks at some of the history that has influenced the development of parks, lessons learnt from their planning, development and operation. It reviews these details in the context of delivering value propositions in the context of temporal, spatial, technology and entrepreneurial profile of the new idea of 'innovation districts', influencing 'city planning' and supporting 'smart specialisation strategies'.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.1
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• pp.116-130
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• 2012

This study focuses on analyzing the design industry in creative industry in the context of upbringing growth engine of regional development policy and strategy. This research probe the spatial characteristics and inter-organizational network structure change from 2000 to 2010 using social network analysis(SNA) in terms of structural, spatial and temporal aspects. first, with the statistical data of design industry, this research evaluate spatial distribution and agggglomeration compared with 16 cities and 7metropolitan scales in Korea. Next, the group of density in the knowledge network of design industry explained with the spatial characteristics and inter-organizational network evolution in time series. After considering the government policy and strategy providing as a result of establishing regional innovation center strengthen cooperation among industry-university-research center.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.45 no.6
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• pp.117-124
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• 2008

The approaches to overcome the limited spatial resolution and the limited dynamic range of image sensors have been studied independently. A high resolution image is reconstructed from multiple low resolution observations and a wide dynamic range image is reconstructed from differently exposed multiple low dynamic range in es based on signal processing approach. In practical situations, it is reasonable to address them in a unified context because the recorded image suffers from limitations of both spatial resolution and dynamic range. In this paper, the image acquisition process including limited spatial resolution and limited dynamic range is modelled. With the image acquisition model, the response function of the imaging system is estimated and the single image of which spatial resolution and dynamic range are simultaneously enhanced is obtained. Experimental results indicate that the proposed algorithm outperforms the conventional approaches that perform the high resolution and wide dynamic range reconstruction sequentially with respect to both objective and subjective criteria.