• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.403-403
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• 2011

TCO/p/i/n 구조의 비정질 실리콘 박막 태양전지의 제작에 있어서 a-Si 혹은 넓은 밴드갭 물질인 SiOx, SiC 등은 window layer로 주로 사용 되어왔다. 그러나 ${\mu}c$-Si는 우수한 광학적, 전기적 특성에 불구하고 낮은 activation energy에 의한 p/i interface 에서의 band-off set에 의한 정공재결합에 의해 사용되어 지지 못했다. 이러한 재결합은 p/i interface상에 buffer layer를 삽입함으로써 개선되어 질 수 있다. 본 논문에서는 비정질 실리콘 보다 넓은 광학적 밴드갭을 가지는 a-SiOx 박막을 완충층으로 사용하여 p/i 계면에서의 재결합 감소에 대한 시뮬레이션을 수행하였다. a-SiOX 박막 내에 포함 된 산소의 양에 따라 밴드갭을 조절하여 1.8eV~2.0eV 사이의 완충층을 삽입하여 박막태양전지의 개방전압, 단락전류, 효율 등에 끼치는 영향을 ASA 시뮬레이션을 통하여 알아보았다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.306-307
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• 2018

In Korea, The thermal resistance test of window sets is performed according to KS F 2278 standard, and is performed only on a specimen size of 2000 × 2000 (mm). In this study, a standard panel measuring 4000 × 3000 (mm) size was used to measure the heat flux in each part of the specimen, and to calculate the resistance to heat transfer And to seize whether the KS F 2278 standard is applicable to large Specimen.

• Journal of Welding and Joining
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• v.32 no.2
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• pp.43-47
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• 2014

Famous artificial neural network (ANN) is applied to predict proper process window of arc welding. Target weldment is variously combined lap joint fillet welding of automotive steel plates. ANN's system variable such as number of hidden layers, perceptrons and transfer function are carefully selected through case by case test. Input variables are welding condition and steel plate combination, for example, welding machine type, shield gas composition, current, speed and strength, thickness of base material. The number of each input variable referred in welding experiment is counted and provided to make it possible to presume the qualitative precision and limit of prediction. One of experimental process windows is excluded for predictability estimation and the rest are applied for neural network training. As expected from basic ANN theory, experimental condition composed of frequently referred input variables showed relatively more precise prediction while rarely referred set showed poorer result. As conclusion, application of ANN to arc welding process window derivation showed comparatively practical feasibility while it still needs more training for higher precision.

• Journal of Information Processing Systems
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• v.15 no.6
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• pp.1392-1405
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• 2019

The cathode voltage of aluminum electrolytic cell is relatively stable under normal conditions and fluctuates greatly when it has an anomaly. In order to detect the abnormal range of cathode voltage, an anomaly detection algorithm based on sliding window was proposed. The algorithm combines the time series segmentation linear representation method and the k-nearest neighbor local anomaly detection algorithm, which is more efficient than the direct detection of the original sequence. The algorithm first segments the cathode voltage time series, then calculates the length, the slope, and the mean of each line segment pattern, and maps them into a set of spatial objects. And then the local anomaly detection algorithm is used to detect abnormal patterns according to the local anomaly factor and the pattern length. The experimental results showed that the algorithm can effectively detect the abnormal range of cathode voltage.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.22 no.11
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• pp.812-819
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• 2010

Recently residential buildings are characterized with high-rise and high density. Under this circumstance, achieving comfortable and healthy indoor environment with minimized energy consumption becomes a very challenging engineering and societal issue. Along this the increased size and transparency of window as well as light surface caused by high stories lowers the heat shield efficiency of building. Since glass that constitutes building surface has low heat efficiency, it aggravates heat loss of all building considerably, thereby resulting in extreme heating load and cooling load in the country where temperature varies much in summer and winter. The research will check whether experiment can be effectively done by overcoming the limit of existing artificial solar laboratory constructed in the country and properly adjusting controlled variables with simplified function through construction of this experimental set.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.81-88
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• 2018

In this paper, we present some problems with the Groupware Messenger functionality based on dot net 2.0 and implement a new design structure to solve them. They include memory leakage, slow processing, and client window memory crash. These problems resulted in the inconvenience of using instant messaging and the inefficient handling of office tasks. Therefore, in this paper, instant messaging functionality is implemented according to a new design architecture. The new system upgrades dot net 4.5 for clients and deploys the new features based on MQTT for the messenger server. We verify that the memory leak problem and client window memory crash issues have been eliminated on the system with the new messenger functionality. We measure the amount of time it takes to bind data to a set of messages and evaluate the performance, compared to a given system. Through this comparative evaluation, we can see that the new system is more reliable and performing.

• Bulletin of the Korean Chemical Society
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• v.30 no.11
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• pp.2665-2668
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• 2009

A new algorithm for determining noise level is proposed for more reliability in interpreting spectral data for complex Fourier transform ion cyclotron resonance (FTICR) mass spectra of petroleum. In the new algorithm, a moving window with a fixed number of data points was adopted, instead of a fixed m/z width. In the analysis of petroleum, it was found that a moving window of 50,000 or more data points was optimal. This optimized automated peak picking performed well even with frequency-dependant noise in the mass spectrum. Additionally, this fast, automated peak picking algorithm was suitable for the analysis of a large set of samples.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.673-682
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• 2009

XML data are widely used for data representation and exchange on the Web and the data type is an continuous stream in ubiquitous environment. Therefore there are some mining researches related to the extracting of frequent structures and the efficient query processing of XML stream data. In this paper, we propose a mining method to extract frequent structures of XML stream data in recent window based on the sliding window. XML stream data are modeled as a tree set, called XFP_tree and we quickly extract the frequent structures over recent XML data in the XFP_tree.

• Nuclear Engineering and Technology
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• v.49 no.6
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• pp.1172-1180
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• 2017

The application of Monte Carlo (MC) to large-scale fixed-source problems has recently become possible with new hybrid methods that automate generation of parameters for variance reduction techniques. Two common variance reduction techniques, weight windows and source biasing, have been automated and popularized by the consistent adjoint-driven importance sampling (CADIS) method. This method uses the adjoint solution from an inexpensive deterministic calculation to define a consistent set of weight windows and source particles for a subsequent MC calculation. One of the motivations for source consistency is to avoid the splitting or rouletting of particles at birth, which requires computational resources. However, it is not always possible or desirable to implement such consistency, which results in inconsistent source biasing. This paper develops an original framework that mathematically expresses the coupling of the weight window and source biasing techniques, allowing the authors to explore the impact of inconsistent source sampling on the variance of MC results. A numerical experiment supports this new framework and suggests that certain classes of problems may be relatively insensitive to inconsistent source sampling schemes with moderate levels of splitting and rouletting.

• Journal of the Semiconductor & Display Technology
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• v.17 no.3
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• pp.108-112
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• 2018

In this paper, a respiration measurement method using FMCW signal for off-the-shelf smartphone is presented and investigated. The proposed algorithm transmits FMCW signal periodically instead of transmitting continuously so that one can reduce the power consumption from speaker in smartphone and the algorithm complexity. In order to eliminate the clicking noise generated when transmitting FMCW signal, Tukey window with ${\alpha}=0.01$ is applied to prevent the noise from being heard. An application program for Android OS which can transmit FMCW signal through speaker and record the reflected signals through MIC has been developed. Since the total duration of the signal transmission is set to 20msec per 1 second for the experiments, the power consumption can be decreased by 80% compared to the continuous transmission. It was confirmed that the clicking noise is inaudible as long as a smartphone is located at more than 10cm from ears. In the experiments on a sleeping child, the breathing signal of about 0.27Hz was measured.