• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2211-2232
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• 2018

The unstructured and semi-structured big data in social network poses new challenges in query retrieval. This requirement needs to be met by introducing quality retrieval time measures like indexing. Due to the huge volume of data storage, there originate the need for efficient index algorithms to promote query processing. However, conventional algorithms fail to index the huge amount of frequently obtained information in real time and fall short of providing scalable indexing service. In this paper, a new LIndex algorithm, which is a heuristic on Lucene is built on Neo4jHA architecture that holds the social network Big data. LIndex is a flexible and simplified adaptive indexing scheme that ascendancy decomposed shortest paths around term neighbors as basic indexing unit. This newfangled index proves to be effectual in query space pruning of graph database Neo4j, scalable in index construction and deployment. A graph query is processed and optimized beyond the traditional Lucene in a time-based manner to a more efficient path method in LIndex. This advanced algorithm significantly reduces query fetch without compromising the quality of results in time. The experiments are conducted to confirm the efficiency of the proposed query retrieval in Neo4j graph NoSQL database.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.832-844
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• 2020

The degree of dispersion of a random variable can be described by the variance, which reflects the distance of the random variable from its mean. However, the time complexity of the traditional variance calculation algorithm is O(n), which results from full calculation of all samples. When the number of samples increases or on the occasion of high speed signal processing, algorithms with O(n) time complexity will cost huge amount of time and that may results in performance degradation of the whole system. A novel multi-step recursive algorithm for variance calculation of the time-varying data series with O(1) time complexity (constant time) is proposed in this paper. Numerical simulation and experiments of the algorithm is presented and the results demonstrate that the proposed multi-step recursive algorithm can effectively decrease computing time and hence significantly improve the variance calculation efficiency for time-varying data, which demonstrates the potential value for time-consumption data analysis or high speed signal processing.

• 한국정보통신학회논문지
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• 제11권11호
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• pp.2185-2191
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• 2007

전통적인 센서 네트워크는 고가의 센서와 케이블로 연결되어 있어, 센싱 데이터를 수집할 때 유연성이 떨어지는 단점을 가지고 있다. WSN은 저가의 장비를 사용하고, 임무를 여러 노드에서 나누어서 수행하기 때문에 다각도에서 세밀한 데이터를 수집할 수 있다. 본 논문에서는 대한석탄공사의 작업현장에서 IEEE802.15.4 MAC을 이용하여, 채탄 작업환경을 그대로 적용한 채탄토폴로지를 구성하였다. 채탄 작업시에 작업 관리자의 이동성 지원을 위한 모델들을 제안하였고, 시뮬레이션을 수행하여 최적의 모델을 선정하였다. 본 논문의 결과는 대한석탄공사와 다른 광업소에서 WSN을 적용할 때 중요 자료로 사용할 수 있을 것이다.

• 한국정보통신학회논문지
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• 제11권3호
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• pp.523-531
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• 2007

본 논문에서는 이동체들을 관리하기에 적합한 새로운 색인 기법을 개발하고, 이 기법의 비용 모델을 제안한다. 또한 삽입/삭제 비용이 적은 동적 해싱 색인을 제안한다. 동적 해싱 색인 구조는 해쉬와 트리를 결합한 동적 해싱 기술을 공간 색인에 적용한 것이다. 본 논문에서는 이동체의 빈번한 위치 변경에 대한 비용 모델과 동적 색인 구조를 분석하였고, 성능 평가 실험을 통하여 검증하였다. 실험 결과에서 새로이 제안하는 색인 기법(동적 해싱 색인)은 R-tree와 고정 그리드 보다 성능이 우수하였다.

• 대한원격탐사학회지
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• 제22권5호
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• pp.357-366
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• 2006

A traditional image analysis or classification method using satellite imagery is mostly based on the spectral information. However, the spatial information is more important according as the resolution is higher and spatial patterns are more complex. In this study, we attempted to compare and analyze the variogram properties of actual high resolution imageries mainly in the urban area. Through the several experiments, we have understood that the variogram is various according to a sensor type, spatial resolution, a location, a feature type, time, season and so on and shows the information related to a feature size. With simple modeling, we confirmed that the unique variogram types were shown unlike the classical variogram in case of small subsets. Based on the grasped variogram characteristics, we made a level index map for determining urban complexity or land-use classification. These results will become more and more important and be widely applied to the various fields of high-resolution imagery such as KOMPSAT-2 and KOMPSAT-3 which is scheduled to be launched.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2008년도 제31회 추계학술대회논문집
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• pp.397-400
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• 2008

기존의 자연점화특성을 지니는 추진제는 성능이 높은 대신 독성이 있으며 다루기 어렵고, 환경에 유해한 단점을 지닌다. 이에 따른 대안으로 과산화수소의 촉매분해 후에 발생되는 고온의 산소와 수증기를 이용한 자연점화 방식이 있다. 이 논문에서는 자연점화 방식의 과산화수소/케로신 추력기를 설계하기 위한 기초연구를 수행하기 위해 자연점화특성을 연구하였다. 추력기의 형상변수로 노즐 목의 면적을 달리하여 연소챔버와의 단면적 비인 수축비를 달리하였으며, flame holder의 유 무, 과산화수소와 케로신의 가압압력에 따른 점화특성 및 연소안정성을 관찰하였다. 그 결과, 대부분의 경우에 자연점화를 관찰할 수 있었으나, 가압압력의 조건에 따라 연소 안정성에는 큰 변화가 있음을 확인할 수 있었다.

• 대한설비공학회:학술대회논문집
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• 대한설비공학회 2006년도 하계학술발표대회 논문집
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• pp.860-865
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• 2006

The traditional Korean Ondol System that is a radiant floor heating system was made as warm floor and cool indoor temperature. Nowaday, Ondol is developed as the hydronic floor heating system. But unbalance of floor temperature and indoor temperature is occurred bocause strengthen thermal insulation and airtightness in building changes thermal performance. To solve these problems, we examine actual indoor environment of heating system methods in existing apartments and present the new method of floor heating system. The existing heating system made definite indoor temperatures but floor temperatures that is $22^{\circ}C-26^{\circ}C$ was maintained. To solve these problems, we adopted the differential heating system which made warm area and cool area. A differential heating system was made different pitches of heating pipe in single zone and ratio of warm area to cool area is 1 to 2. As a result of experiments, warm area temperature is $40.7^{\circ}C$, cool area temperature is $36.1^{\circ}C$. A difference of temperature between both area is 4K. A distribution of indoor vertical temperature is similar to both warm area and cool area.

• Nuclear Engineering and Technology
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• 제52권5호
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• pp.956-963
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• 2020

Dose optimization for Radioactive Occupational Personal (ROP) is an important subject in nuclear and radiation safety field. The geometric environment of a nuclear facility is complex and the work area is radioactive, so traditional navigation model and radioactive data field cannot form an effective environment model for dose assessment and dose optimization. The environment model directly affects dose assessment and indirectly affects dose optimization, this is an urgent problem needed to be solved. Therefore, this paper focuses on an environment model used for Dose Assessment and Dose Optimization (DA&DO). We designed a multi-layer radiation field coupling modeling method, and then explored the influence of the environment model to DA&DO by virtual simulation. Then, a simulation test is done, the multi-layer radiation field coupling model for nuclear facilities is demonstrated to be effective for dose assessment and dose optimization through the experiments and analysis.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.787-800
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• 2021

Three-dimensional (3D) object classification tasks using point clouds are widely used in 3D modeling, face recognition, and robotic missions. However, processing raw point clouds directly is problematic for a traditional convolutional network due to the irregular data format of point clouds. This paper proposes a pointwise convolution neural network (CNN) structure that can process point cloud data directly without preprocessing. First, a 2D convolutional layer is introduced to percept coordinate information of each point. Then, multiple 2D convolutional layers and a global max pooling layer are applied to extract global features. Finally, based on the extracted features, fully connected layers predict the class labels of objects. We evaluated the proposed pointwise CNN structure on the ModelNet10 dataset. The proposed structure obtained higher accuracy compared to the existing methods. Experiments using the ModelNet10 dataset also prove that the difference in the point number of point clouds does not significantly influence on the proposed pointwise CNN structure.

• 소성∙가공
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• 제30권6호
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• pp.275-283
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• 2021

A parametric study was conducted on the effects of five fundamental design parameters on springback, including die clearance, step height, step width, punch radius, and taper relief in an L-bending process, controlled by the compression force. The experiment was also conducted to verify the usefulness of the parametric study procedure for process design, as well as the finite element predictions. The elastoplastic finite element method was utilized. The L-bending process of the york product, which is a key part of the breaker mechanism, was employed. The deformation of the material was assumed to be due to plane strain. Five samples of each design parameter were selected based on experiences in terms of process design. The finite element predictions were analyzed in detail to show a shortcut towards the process design improvement which can replace the traditional process design procedure relying on trial-and-errors. The improved process design was verified to meet all the requirements and the predictions and experiments were in good agreement.