• Title/Summary/Keyword: 접근성공간

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리튬이온전지용 탄소기반 음극재의 리튬저장능력 향상을 위한 나노구조체 설계에 관한 연구

  • Kim, Han-Bin;Lee, Myeong-Hun;Kim, Yeon-Won;Kim, Dae-Yeong;Gang, Jun
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2018.06a
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    • pp.137-137
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    • 2018
  • 이 연구에서는 리튬이온전지용 음극 활물질의 리튬이온 저장 용량을 최적화시키기 위한 새로운 방법이 제안되었다. 그 방법은 솔루션 플라즈마 프로세스를 사용하여 원자 단위의 리튬을 탄소 기반 물질의 내부에 도핑 시키고, 열처리를 통해 그 내부를 재설계하는 것이다. 리튬이온전지용 음극 활물질로 리튬금속 자체를 사용하려는 시도는 있었으나, 이는 충전 및 방전 사이클이 반복됨에 따라 리튬이 수지상으로 석출되어 내부를 단락시키거나, 리튬금속 자체의 폭발성에 의한 취급상의 제약이 있었다. 한편, 원자 단위로 탄소 내부에 도핑 된 리튬은 열처리 과정 동안 탄소 내부에서 확산함으로써 더 많은 리튬이 저장될 수 있는 공간을 만들었고, 사이클이 반복됨에 따라 서서히 충전 및 방전 반응에 참여함으로써 전지의 성능을 개선시켰다. 리튬이 도핑 된 탄소의 전기화학적 테스트 결과를 Fig. 1에 나타내었다. 실험 결과에서 보여진 초기 고용량 및 장기 사이클 특성은 탄소 내부에 도핑 된 리튬이 전지 성능의 향상에 중요한 역할을 한다는 것을 시사한다. 또한, 사이클이 반복됨에 따라 점차 증가하는 용량은 첫 사이클에서 형성된 solid electrolyte interphase의 비가역 용량을 보상할 수 있을 것으로 생각된다. 이상의 결과를 통해, 탄소 내부에 원자단위의 리튬을 도핑시키는 새로운 접근은 리튬이온전지의 성능 개선을 위한 효과적인 방법이 될 수 있을 것으로 보이며, 향후 리튬 이외의 다른 원소들, 즉 소듐과 같은 물질에 대하여 도핑을 시도한다면 새로운 분야에서 이와 같은 접근법이 유용하게 적용될 수 있을 것으로 사료된다.

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Quantification Analysis Problem using Mean Field Theory in Neural Network (평균장 이론을 이용한 전량화분석 문제의 최적화)

  • Jo, Gwang-Su
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.3
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    • pp.417-424
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    • 1995
  • This paper describes MFT(Mean Field Theory) neural network with continuous with continuous variables is applied to quantification analysis problem. A quantification analysis problem, one of the important problems in statistics, is NP complete and arises in the optimal location of objects in the design space according to the given similarities only. This paper presents a MFT neural network with continuous variables for the quantification problem. Starting with reformulation of the quantification problem to the penalty problem, this paper propose a "one-variable stochastic simulated annealing(one-variable SSA)" based on the mean field approximation. This makes it possible to evaluate of the spin average faster than real value calculating in the MFT neural network with continuous variables. Consequently, some experimental results show the feasibility of this approach to overcome the difficulties to evaluate the spin average value expressed by the integral in such models.ch models.

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Onboard Store and Access for Communication Link Data: Grape Linked-List (통신 링크 데이터 온보드 저장 및 접근: 포도송이 연결리스트)

  • Cheol Hea Koo
    • Journal of Aerospace System Engineering
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    • v.18 no.4
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    • pp.89-95
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    • 2024
  • This paper introduces an effective and convenient method for utilizing onboard memory space to process remote commands, telemetry, and interplanetary network protocol data in satellite onboard systems. By enhancing the doubly linked list data structure to store and make accessible variable-length communication protocol data either sequentially or at variable locations, the paper enhances memory capacity utilization. The concept of 'grape' is introduced into the doubly linked list data structure to manage variable-length data and its access, with performance verification conducted through its reference implementation. This novel approach to linked lists is termed 'grape.'

Design and Implementation of a Mobile Docent App for Chosun University Museum (조선대학교 박물관 모바일 도슨트 어플 설계 및 구현)

  • Chung, Hyun-Sook;Lee, Gi-Kil;Lee, Dae-Kyoung;Kim, Jeong-Min
    • Journal of Convergence for Information Technology
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    • v.8 no.5
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    • pp.121-129
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    • 2018
  • The university museum is working to discover, research, and exhibit cultural artifacts as well as use them as resources of education and academic researches as one of the important organizations of the university. Current, however, university museums have the low-level usability caused by the reduction of financial and administrative supports of the university. One approach to solve this problem may be the design of mobile docent app for improving the accessibility of the museum. The app enables users get artifacts and education programs without the restriction and learn artifact-related knowledge easily. In this paper, we design and implement a new mobile docent app according to the analysis of content of the Chosun university museum as a real case study. In addition, we evaluate the functionality and usability of the proposed app by affordance-based questionnaire.

Application and Evaluation of Vector Map Watermarking Algorithm for Robustness Enhancement (강인성 향상을 위한 벡터 맵 워터마킹 알고리즘의 적용과 평가)

  • Won, Sung Min;Park, Soo Hong
    • Spatial Information Research
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    • v.21 no.3
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    • pp.31-43
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    • 2013
  • Although the vector map data possesses much higher values than other types of multimedia, the data copyright and the protection against illegal duplication are still far away from the attention. This paper proposes a novel watermarking technique which is both robust to diverse attacks and optimized to a vector map structure. Six approaches are proposed for the design of the watermarking algorithm: point-based approach, building a minimum perimeter triangle, watermark embedding in the length ratio, referencing to the pixel position of the watermark image, grouping, and using the one-way function. Our method preserves the characteristics of watermarking such as embedding effectiveness, fidelity, and false positive rate, while maintaining robustness to all types of attack except a noise attack. Furthermore, our method is a blind scheme in which robustness is independent of the map data. Finally, our method provides a solution to the challenging issue of degraded robustness under severe simplification attacks.

EAST: An Efficient and Advanced Space-management Technique for Flash Memory using Reallocation Blocks (재할당 블록을 이용한 플래시 메모리를 위한 효율적인 공간 관리 기법)

  • Kwon, Se-Jin;Chung, Tae-Sun
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.7
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    • pp.476-487
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    • 2007
  • Flash memory offers attractive features, such as non-volatile, shock resistance, fast access, and low power consumption for data storage. However, it has one main drawback of requiring an erase before updating the contents. Furthermore, flash memory can only be erased limited number of times. To overcome limitations, flash memory needs a software layer called flash translation layer (FTL). The basic function of FTL is to translate the logical address from the file system like file allocation table (FAT) to the physical address in flash memory. In this paper, a new FTL algorithm called an efficient and advanced space-management technique (EAST) is proposed. EAST improves the performance by optimizing the number of log blocks, by applying the state transition, and by using reallocation blocks. The results of experiments show that EAST outperforms FAST, which is an enhanced log block scheme, particularly when the usage of flash memory is not full.

Construction of Multi-Dimensional Ortho-Images with a Digital Camera and the Multi-Image Connection Method (디지털카메라와 다중영상접합법을 이용한 다차원 정사영상의 구축)

  • Kim, Dong Moon
    • Journal of Digital Convergence
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    • v.12 no.8
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    • pp.295-302
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    • 2014
  • Essential to the establishment of such 3D spatial information are the laser scanning technology to obtain high-precision 3D point group data and the photography-metric camera to obtain high-resolution multispectral image information. The photography-metric camera, however, lacks in usability for its broad scope of utilization due to the high purchase price, difficult purchase channel, and low applicability. This study thus set out to investigate a technique to establish multi-dimensional ortho-image data with a single lens reflex digital camera of high speed and easy accessibility for general users. That is, the study remodeled a single lens reflex digital camera and calibrated the remodeled camera to establish 3D multispectral image information, which is the essential data of 3D spatial information. Multi-dimensional ortho-image data were collected by surveying the reference points for stereo photos, taking multispectral shots of the objects, and converting them into ortho-images.

Capacity Analysis of Civil Defense Shelter and Optimal Positioning Using Spatial-Database and Genetic Algorithm (공간데이터베이스와 유전자 알고리즘을 활용한 민방위대피소 수용 능력 분석 및 최적 위치 선정)

  • Yoo, Su Hong;Bae, Jun Su;Lee, Ji Sang;Sohn, Hong Gyoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.6
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    • pp.955-963
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    • 2019
  • Currently, the establishment and management of civil defense shelters are under the initiative of the government and local governments to protect the lives of citizens. In the future, there is a need for efficient civil defense shelters operation through the expansion of general shelters, including designated dedicated shelters. Therefore, it is more efficient to consider the distribution of residents and the location of access to shelters, not the quantitative operation considering only the number of residents. This study uses genetic algorithms and Huff gravity model based on census output data, building data, and road network information to understand the distribution of inhabitants more precisely than existing administrative district data. In addition, the spatial- database was used for efficient data management and fast processing, and if this study is improved, it can be used as a basis for the selection and improvement of general shelters positioning for a wider area.

GC-Tree: A Hierarchical Index Structure for Image Databases (GC-트리 : 이미지 데이타베이스를 위한 계층 색인 구조)

  • 차광호
    • Journal of KIISE:Databases
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    • v.31 no.1
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    • pp.13-22
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    • 2004
  • With the proliferation of multimedia data, there is an increasing need to support the indexing and retrieval of high-dimensional image data. Although there have been many efforts, the performance of existing multidimensional indexing methods is not satisfactory in high dimensions. Thus the dimensionality reduction and the approximate solution methods were tried to deal with the so-called dimensionality curse. But these methods are inevitably accompanied by the loss of precision of query results. Therefore, recently, the vector approximation-based methods such as the VA- file and the LPC-file were developed to preserve the precision of query results. However, the performance of the vector approximation-based methods depend largely on the size of the approximation file and they lose the advantages of the multidimensional indexing methods that prune much search space. In this paper, we propose a new index structure called the GC-tree for efficient similarity search in image databases. The GC-tree is based on a special subspace partitioning strategy which is optimized for clustered high-dimensional images. It adaptively partitions the data space based on a density function and dynamically constructs an index structure. The resultant index structure adapts well to the strongly clustered distribution of high-dimensional images.

Spaces of Articulated (Non-)Economic Practices and Social Reproduction: Economic Geographical Perspective to the Marketization in North Korea (절합된 (비-)경제적 관행의 공간과 사회적 재생산: 북한 시장화에 대한 경제지리학적 접근)

  • Kim, Boo-Heon;Lee, Sung-Cheol
    • Journal of the Economic Geographical Society of Korea
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    • v.22 no.4
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    • pp.381-404
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    • 2019
  • The paper aims to identify how North Korean various economic agents respond to the economic crisis in North Korea, and how these multiple practices are entangled with its spatiality by through the questionnaire survey and in-depth interview targeted at North Korean refugees. The paper argues that it needs to examine the marketization in North Korea in terms of the domesticating recently debated in economic geography. In this perspective, the marketization in North Korea could be explained not as a grand project 'out there' with hegemonic power, but as various economic agents within their space are constantly (re)constructed through everyday life practices. Economic agents' responses to economic crisis, economic rupture, and economic marginalization could be identified in terms of articulation between economic and non-economic factors. More specifically, the paper emphasizes everyday life responses are over-determined by their economic and non-economic factors and its effectiveness is differentiated by their power relations.