• 전기학회논문지P
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• 제56권1호
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• pp.28-36
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• 2007

Sensor networks are usually composed of tens or thousands of tiny devices with limited resources. Because of their limited resources, many researchers have studied on the energy management in the WSNs(Wireless Sensor Networks), especially taking into account communications efficiency. For effective data transmission and sensor fault detection in sensor network environment, a new remote monitoring system based on PCA(Principle Component Analysis) and AANN(Auto Associative Neural Network) is proposed. PCA and AANN have emerged as a useful tool for data compression and identification of abnormal data. Proposed system can be effectively applied to sensor network working in LEA2C(Low Energy Adaptive Connectionist Clustering) routing algorithms. To verify its applicability, some simulation studies on the data obtained from real WSNs are executed.

• 대한의용생체공학회:의공학회지
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• 제5권1호
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• pp.25-32
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• 1984

In this paper a new "limited view frequency correlation algorithm" for diffraction topography is proposed. In this algorithm the problem of limited view sampling is solved by spectrum of spatial frequencies of refractive index. This algorithm is very important in a view of reduction of scanning time and improvement of considerably higher image quality object reconstruction.struction.

• Journal of information and communication convergence engineering
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• 제22권1호
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• pp.33-43
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• 2024

Automated text summarization (ATS) systems rely on language resources as datasets. However, creating these datasets is a complex and labor-intensive task requiring linguists to extensively annotate the data. Consequently, certain public datasets for ATS, particularly in languages such as Thai, are not as readily available as those for the more popular languages. The primary objective of the ATS approach is to condense large volumes of text into shorter summaries, thereby reducing the time required to extract information from extensive textual data. Owing to the challenges involved in preparing language resources, publicly accessible datasets for Thai ATS are relatively scarce compared to those for widely used languages. The goal is to produce concise summaries and accelerate the information extraction process using vast amounts of textual input. This study introduced ThEconSum, an ATS architecture specifically designed for Thai language, using economy-related data. An evaluation of this research revealed the significant remaining tasks and limitations of the Thai language.

• Human Ecology Research
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• 제54권6호
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• pp.599-610
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• 2016

The purposes of this study are to identify the characteristics of limited edition fashion consumers, to analyze their purchase decision-making processes, and to examine negative factors of consumers' recognition toward limited edition fashion products. A qualitative investigation was conducted by doing in-depth interviews with 11 selected consumers in their twenties and thirties who have actively purchased and consumed limited edition fashion products. The results of this study can be summarized as follows. First, there are four sub-categories of appearance management activity, acceptance of fashion trend, information-seeking behavior, and hedonic shopping orientation for the limited edition fashion consumers' characteristics. Second, the purchase decision-making process of limited edition fashion consumers are identified as seven steps: need recognition, information search, evaluation of alternatives, planning and courtship, purchase, post-purchase evaluation, and post-purchase behavior. Courtship/attachment formation and post-purchase behavior are unique steps when compared to general purchase decision-making process. Third, this study identified negative factors of consumers' recognition toward limited edition this study in order to suggest several improvement plans for enterprises using limited marketing. Four sub-categories are examined: outrageous price, tricks of company, fatigue due to purchasing competition, and re-sellers. In conclusion, this study indicates that the purchase decision-making process of limited edition consumers, which involves two distinctive steps including courtship/attachment formation and post-purchase behavior, can be differentiated from general consumers. The results of this study provides preliminary data for further research for in-depth analysis of limited edition consumers.

• Journal of Information Technology Applications and Management
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• 제12권1호
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• pp.111-123
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• 2005

Many indexing methods were proposed so that process moving object efficiently. Among them, indexing methods like the 3D R-tree treat temporal and spatial domain as the same. Actually, however. both domain had better process separately because of difference in character and unit. Especially in this paper we deal with limited region such as indoor environment since spatial domain is limited but temporal domain is grown. In this paper we present a novel indexing structure, namely STS-tree(Separation of Time and Space tree). based on limited region. STS-tree is a hybrid tree structure which consists of R-tree and one-dimensional TB-tree. The R-tree component indexes static object and spatial information such as topography of the space. The TB-tree component indexes moving object and temporal information.

• 전기학회논문지
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• 제59권2호
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• pp.423-428
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• 2010

In the initial design phase of superscalar microprocessors, a performance model is necessary. A theoretic performance model is very useful since performance for various architecture parameters can be obtained by simply computing equations, without repeating simulations, Previous studies established theoretic performance models using the relation between the instruction window size and the issue width, with the penalties due to branch mispredictions and cache misses. However, the study was intended for unlimited number of functional units, which is insufficient for the real case application. This paper proposes a superscalar microprocessor theoretical performance model which also works for the limited functional units. To enhance the accuracy of our limited functional unit model, instruction dependency rates are employed. By using trace-driven data of SPEC 2000 integer programs as input, this paper shows that the theoretically computed performance of superscalar microprocessor with limited number of functional units is quite similar to the measured performance.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(1)
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• pp.469-472
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• 2000

Security-related issues in mobile communications are increasing. The security requirements of mobile communications for the mobile users include authentication of the mobile user, the data confidentiality, the data confidentiality and the location privacy of mobile user. These services require security features compatible with the wireline networks. However, wireless networks have many restrictions compare to wireline networks such as the limited computational capability of mobile equipment and limited resource(bandwidth) between a mobile user and a fixed network. So, security features for IMT-2000 are designed to meet the limited capacity. In this paper, we analyze the required security features and mechanism, and design network access security feature effective for IMT-2000 Systems. The design includes security functions allocation to each system. Finally, discuss the computational power of each system based on at]coated functions to it

• Nuclear Engineering and Technology
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• 제52권8호
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• pp.1807-1816
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• 2020

In this work, a Gaussian Process (Kriging) approach is proposed to provide efficient dose mapping for complex radiation fields using limited number of responses. Given a few response measurements (or simulation data points), the proposed approach can help the analyst in completing a map of the radiation dose field with a 95% confidence interval, efficiently. Two case studies are used to validate the proposed approach. The First case study is based on experimental dose measurements to build the dose map in a radiation field induced by a D-D neutron generator. The second, is a simulation case study where the proposed approach is used to mimic Monte Carlo dose predictions in the radiation field using a limited number of MCNP simulations. Given the low computational cost of constructing Gaussian Process (GP) models, results indicate that the GP model can reasonably map the dose in the radiation field given a limited number of data measurements. Both case studies are performed on the nuclear engineering radiation laboratories at the University of Sharjah.

• International Journal of Air-Conditioning and Refrigeration
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• 제8권2호
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• pp.11-22
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• 2000

Holographic interferometric tomography can provide reconstruction of instantaneous three-dimensional gross flow fields. The technique however confronts ill-posed reconstruction problems in practical applications. Experimental data are usually limited in projection and angular scanning when a field is captured instantaneously or under the obstruction of test models and test section enclosures. An algorithm, based on a series expansion method, has been developed to improve the reconstruction under the ill-posed conditions. A three-dimensional natural convection flow around two interacting isothermal cubes is experimentally investigated. The flow can provide a challenging reconstruction problem and lend itself to accurate numerical solution for comparison. The refractive index fields at two horizontal sections of the thermal plume with and without an opaque object are reconstructed at a limited view angle of 80$\circ$. The experimental reconstructions are then compared with those from numerical calculation and thermocouple thermometry. It confirms that the technique is applicable to reconstruction of reasonably complex, three-dimensional flow fields.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1996년도 춘계공동학술대회논문집; 공군사관학교, 청주; 26-27 Apr. 1996
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• pp.733-736
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• 1996

Neural Network(NN) is known to be suitable for forecasting corporate bankruptcy because of discriminant capability. Bankruptcy prediciton on NN by now has mostly been studied based on financial indices at specific point of time. However, the financial profile of corporates fluctuates within a certain range with the elapse of time. Besides, we need a lot of data of different bankrupt types in order to apply NN for better bankruptcy prediciton. Therefore, we have decided to focus on textiles and clothing industries for bankruptcy prediction with limited data. One part of the collected data was used for training and calibration, and the other was used for verification. The model makes a learning with extended data from financial indices at specific point of time. The trained model has been tested and we could get a high hitting ratio relatively.