• Journal of the Korean Society for information Management
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• v.19 no.1
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• pp.47-69
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• 2002

The concept based retrieval model has shown a higher performance than those of the simple matching function method or the P-norm retrieval method introduced to compensate the demerits of the Boolean retrieval model. However. it takes too long to create a semantic-net knowledge base, which is essential in concept exploration. In order to solve such demerits. a method was sought out by creating a distributed knowledge base by subjects to reduce construction time without hindering the performance of retrieval.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.549-554
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• 2016

ConceptNet is a common sense knowledge base which is formed in a semantic graph whose nodes represent concepts and edges show relationships between concepts. As it is difficult to make knowledge base integrity, a knowledge base often suffers from incompleteness problem. Therefore the quality of reasoning performed over such knowledge bases is sometimes unreliable. This work presents neural tensor networks which can alleviate the problem of knowledge bases incompleteness by reasoning new assertions and adding them into ConceptNet. The neural tensor networks are trained with a collection of assertions extracted from ConceptNet. The input of the networks is two concepts, and the output is the confidence score, telling how possible the connection between two concepts is under a specified relationship. The neural tensor networks can expand the usefulness of ConceptNet by increasing the degree of nodes. The accuracy of the neural tensor networks is 87.7% on testing data set. Also the neural tensor networks can predict a new assertion which does not exist in ConceptNet with an accuracy 85.01%.

• Asian Journal of Atmospheric Environment
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• v.9 no.2
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• pp.137-145
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• 2015

This study focused on the measurement of the actual charging state of ambient aerosol particles, which is important for understanding the intricate process of adverse health effects caused by particulate matter (PM). The net electrostatic charging state of $PM_{2.5}$ collected on filter media was measured in this study. The Faraday cage method and surface potential measurements were used in this study. The results showed that the polarities of the net charging state measured using these two methods were in agreement for 42 out of 48 samples (87.5%), and 36 samples (75%) were negatively charged. The filters were not significantly charged by friction between the filters and air not containing PM. Charge addition to or leakage from the filters was not observed over a two-month storage period. Net charging state of $PM_{2.5}$ collected on the filters was concluded to be negative in most cases, based on data's support of the assumption that aerosol charging state is not altered by the process of PM collection using filter.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.2
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• pp.102-110
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• 2017

Current word sense disambiguation techniques employ various machine learning-based methods. Various approaches have been proposed to address this problem, including the knowledge base approach. This approach defines the sense of an ambiguous word in accordance with knowledge base information with no training corpus. In unsupervised learning techniques that use a knowledge base approach, graph-based and similarity-based methods have been the main research areas. The graph-based method has the advantage of constructing a semantic graph that delineates all paths between different senses that an ambiguous word may have. However, unnecessary semantic paths may be introduced, thereby increasing the risk of errors. To solve this problem and construct a fine-grained graph, in this paper, we propose a model that iteratively constructs the graph while eliminating unnecessary nodes and edges, i.e., senses and semantic paths. The hybrid similarity estimation model was applied to estimate a more accurate sense in the constructed semantic graph. Because the proposed model uses BabelNet, a multilingual lexical knowledge base, the model is not limited to a specific language.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.141-146
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• 2007

The importance of the net-based customer service in delivering supplementary after-sale services associated with product has been well documented. The strategic advantages of a well-implemented the net-based customer service are enhanced customer loyalty and higher lock-in of customers, and the resulting reduction in competition and the consequent increase in profits. However, not all customers utilize such the net-based customer service. This is partly due to the e-commerce divide, and partly due to privacy and security concerns of the customer for sharing personal information with firms. The limited level of customer adoption of the net-based customer service affects the firm profits and the customers' welfare. We use a game-theoretic model in which we model the net-based customer service system as a mechanism to enhance customers' loyalty. We find that an increase in adoption of the net-based customer service by the customer base is not always desirable for firms. and that customers who utilize such services are better off only when the overall adoption is limited.

• Earthquakes and Structures
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• v.22 no.2
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• pp.109-120
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• 2022

Older or damaged structures can require significant retrofit to ensure they perform well in subsequent earthquakes. Supplemental damping devices are used to achieve this goal, but increase base shear forces, foundation demand, and cost. Displacement reduction without increasing base shear is possible using novel semi-active and recently-created passive devices, which offer energy dissipation in selected quadrants of the force-displacement response. Combining these devices with large, strictly passive energy dissipation devices can offer greater, yet customized response reductions. Supplemental damping to reduce response without increasing base shear enables a net-zero base shear approach. This study evaluates this concept using two incremental dynamic analyses (IDAs) to show displacement reductions up to 40% without increasing base shear, more than would be achieved for either device alone, significantly reducing the risk of response exceeding the unaltered structural case. IDA results lead to direct calculation of reductions in risk and annualized economic cost for adding these devices using this net-zero concept, thus quantifying the trade-off. The overall device assessment and risk analysis method presented provides a generalizable proof-of-concept approach, and provides a framework for assessing the impact and economic cost-benefit of using modern supplemental energy dissipation devices.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.211-214
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• 2003

Current VOD embodiment way is embodied using PC base. However, achieved research that embody this by Embedded System that PC base is not. OS of this system used WindowsCE.net and x86core used having built-ined SC1200(National company's Geode's familys) by CPU and memory used 128MByte SDRAM. Used Mpeg Decoder for processing of video data, and used Enthernet Controller for Internet. Composite, component, S-Video of video output section of this system is and select one of these and connect on TV and did so that get into action. Actuality implementation manufactured necessary BIOS, WinodwsCE.NET Porting, DeviceDriver in system development and necessary simple Application in action confirmation, and Video Player used Window Media Player had included to WindowsCE.net. Therefore, treatise that see to supplement shortcomings of VOD service been embodying in current PC in Embedded System's form embody that there is sense do can.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1175-1176
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• 2023

전기차의 자율주행을 위해선 차선 인식과 모터 제어가 필요하다. 카메라로 입력된 영상에 허프 변환을 적용하고, 변환된 이진 이미지에 Enet 및 DeepLabv3+ 구조를 활용한 LaneNet 모델을 적용하여 차선을 학습시키고, Fuzzy 제어 기법을 활용하여 모터의 조향이 원활이 되도록 하였다. 기존의 Rule base 기법에 비하여 차선 인식 정확도가 월등히 향상되었으며, 주행 결과 Real-Time 주행환경 판단에 대한 여지를 남겼다.

• The Korean Journal of Ecology
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• v.24 no.1
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• pp.51-59
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• 2001

Estimation of the annual net production, nitrogen (N) and base cation (BC＝K, Mg, Ca) uptake by stocked forests in South Korea has been done with national statistical data of forestry from 1995 to 1999. The annual net production of stems and branches was about 1.8 ton DM ha/sup -1/ yr/sup -1/. The net productivity of deciduous forests was higher than that of coniferous forests. Total net production of the stocked forests from the whole stocked area of South Korea of 6.246×10/sup 6/ ha, was about 1.13×10/sup 7 ton DM/yr, and the total harvested biomass obtained from timber production data in 1999, was estimated about 6.1×105 ton DM/yr that was equivalent to 98 kg DM ha/sup -1/ yr/sup -1/f. Net growth uptake of N and BC were 350 mol ha/sup -1/ yr/sup -1/ and 296 mol ha/sup -1/ yr/sup -1/ respectively, and the content of N and BC contained in the harvested biomass were 20 mol ha/sup -1/ yr/sup -1/ and 16 mol ha/sup -1/ yr/sup -1/ respectively. Net uptake of N was higher than that of BC. Total net uptake of N and BC from growth and harvest by stocked forests in South Korea were 2.309×10/sup 9/ mol/yr and 1.953×10/sup 9 mol/yr respectively.

• Journal of The Korea Institute of Healthcare Architecture
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• v.18 no.1
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• pp.53-60
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• 2012

Spatial configuration of the building quality relationships and reasonable distribution of space by utilizing the Net and Gross area. Therefore this study prerequisite for to investigate of Net and Gross area calculation in general hospital. For this study method as follow. First, a case study internal and external of net and gross area composition. Further more study on the other architect type. Second, a case study measuring area method for general hospital in internal and external. Finally, base on the analysis results of the drawn a net and gross area composition in general hospital.