• Journal of Communications and Networks
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• v.16 no.1
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• pp.1-9
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• 2014

Block diagonalization (BD) has been proposed as a simple and effective technique in multiuser multiple-input multiple-output (MU-MIMO) broadcast channels. However, when channel state information (CSI) knowledge is limited at the transmitter, the performance of the BD may be degraded because inter-user interference cannot be completely eliminated. In this paper, we propose an efficient CSI quantization technique for BD precoded systems with limited feedback where users supported by a base station are selected by dynamic scheduling. First, we express the received signal-to-interference-plus-noise ratio (SINR) when multiple data streams are transmitted to the user, and derive a lower bound expression of the expected received SINR at each user. Then, based on this measure, each user determines its quantized CSI feedback information which maximizes the derived expected SINR, which comprises both the channel direction and the amplitude information. From simulations, we confirm that the proposed SINR-based channel quantization scheme achieves a significant sum rate gain over the conventional method in practical MU-MIMO systems.

• Fashion & Textile Research Journal
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• v.15 no.6
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• pp.899-911
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• 2013

This study investigated the current curricula for the training of textile design specialists. In-depth interviews were conducted with 6 practitioners working in the textile design industry; subsequently, the curricula offered by 20 textile design-related departments at 4-year and 2-year colleges in Korea were used for the data analysis. The results of this study were: First, the problems of textile design education were (1) a limited understanding of commercial designs, (2) an education system concentrated on pattern designs, (3) limited creativity and design expression capacity, (4) limited practical ability and the analysis of collection. Second, most textile design departments at Korean colleges were located in the Seoul/Gyeonggi district and Gyeongbuk/Gyeongnam district. Third, textile material and imagination/expression subjects were a limited part of the curricula; subsequently, a long-term and systematic education system (by college year) was required for the use of basic education subjects. Fourth, there was a shortage of practical subjects in college education despite the perception of commercial designs; in addition, a professional design education (by material and use) were an important part of practical business.

• Smart Structures and Systems
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• v.12 no.6
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• pp.619-640
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• 2013

It is highly desirable to explore efficient algorithms for detecting structural damage of large size structural systems with limited input and output measurements. In this paper, a new structural damage detection algorithm based on substructure approach is proposed for large size structural systems with limited input and output measurements. Inter-connection effect between adjacent substructures is treated as 'additional unknown inputs' to substructures. Extended state vector of each substructure and its unknown excitations are estimated by sequential extended Kalman estimator and least-squares estimation, respectively. It is shown that the 'additional unknown inputs' can be estimated by the algorithm without the measurements on the substructure interface DOFs, which is superior to previous substructural identification approaches. Also, structural parameters and unknown excitation are estimated in a sequential manner, which simplifies the identification problem compared with other existing work. Structural damage can be detected from the degradation of the identified substructural element stiffness values. The performances of the proposed algorithm are demonstrated by several numerical examples and a lab experiment. Measurement noise effect is considered. Both the simulation results and experimental data validate that the proposed algorithm is viable for structural damage detection of large size structural systems with limited input and output measurements.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.19-27
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• 2011

Access control that has been previously performed mainly on safety, and thus not much effort has been done to consider access control in terms of efficiency. This paper proposes a method for an efficient and secure query processing of XML data streams, such as a personal digital assistant and a portable terminal, at the client side with limited resources. Specifically, this paper proposes an access control processing that possesses a small overhead for attaining a secure result with limited memory and a method to enhance the performance, finding the parts capable of optimizing each processing step for offsetting the overhead caused by the addition of access control processing. The superiority of the new method is analyzed through an experiments.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 1996.12a
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• pp.25-41
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• 1996

KWON, O. S. SCHMUED, L. C. and LSIKKER, W. JR. Neurotoxiciligy. objectives of this study were to test the hypothesis that fumonisin $B_1$ ($FB_1$) alters sphinganine (Sa) levels and myelin synthesis in the central nervous system of developing rats. $FB_1$ (subcutaneous, 0. 4 or 0. 8 mg/kg/day) from postnatal days (PND) 3 to PND 12 resulted in a significantly increased in the brain of rats given 0. 8 mg $FB_1$/kg/day. To confirm the effect of limited nutrition on changes in the Sa levels and myelinogenesis, rats given 0.8mg $FB_1$/kg/day or treated by limited nutrition (temporary removal from dam during postnatal period) were compared to those in saline controls. Sa levels and Sa/So ratios were compared to those in saline in the 0.8 $FB_1$-treated, 3'-phosphohydrolase (CNP) activities were decreased significantly in both nutritionally limited and $FB_1$-exposed rats. These data indicate that sphingolipid metabolism in the central nervous system of develiping rats is vulnerable to $FB_1$ exposure. The hypomyelination associated with $FB_1$-treatment may be mediated by limited nutrition.

• The Korean Journal of Franchise Management
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• v.15 no.1
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• pp.1-10
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• 2024

Purpose: Despite the popularity of sales promotion as one of the key marketing tactics employed by many companies today, relatively little effort has been devoted to examining an interaction effect between promotion cues and promotion duration. Therefore, this study aims to examine how promotion cues and promotion duration will jointly affect consumers' attitudes toward promotions and purchase intentions. Research design, data, and methodology: The present study conducted an online experiment through the Qualtrics program in which a total of 141 participants were recruited from the Cloud panel members in the U.S. The experiment employed a 2(promotion cue: best-seller vs. limited edition) × 2(promotion duration: long vs. short) full factorial between-subjects design. Result: In the condition of best-selling sales promotion cue, a long promotion duration induced more positive promotion attitude and higher purchase intention, while in the condition of limited-edition sales promotion cue, the use of a short promotion duration contributed more positive promotion attitude and greater purchase intention. Conclusions: Marketers need to take the congruence between promotion cues and promotion duration into full consideration when designing effective sales promotion strategy.

• Journal of the Korean Solar Energy Society
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• v.29 no.6
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• pp.102-109
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• 2009

The research on meteorological data in Korea has been carried out but without much consistency and has been limited to some areas only. Of relatively more importance has been the area in the utilization of the solar energy, however, the measurement of the global solar horizontal irradiation has been quite limited. In the current study, the actually measured value of the global solar horizontal irradiation from the meteorological data and the theoretically calculated value of the global solar horizontal irradiation from the cloud amount will be analyzed comparatively. The method of analysis will employ the standard meteorological data drafted by the Korean Solar Energy Society, the standard meteorological data from the presently used simulation program and the corresponding results have been compared with the calculated value of the global solar horizontal irradiation from the cloud amount. The results of comparing the values obtained from MBE(Mean Bias Error), RMSE(Root Mean Squares for Error), t-Statistic methods and those from each of the standard meteorological data show that the actually measured value of the meteorological data which have been converted into standard meteorological data with the help of the ISO TRY method give the monthly average value of the global solar horizontal irradiation. These values compared with the monthly average value from the IWEC from the Department of Energy of the USA show that the value of the global solar horizontal irradiation in the USA is quite similar. In the case of the values obtained from calculation from the cloud amount, the weather data provided by TRNSYS, except only slight difference, which means that the actually measured values of the global solar horizontal irradiation are significant. This goes to show that in the case of Korea, the value of the global solar horizontal irradiation provided by the Korea Meteorological Administration is will be deemed correct.

• Proceedings of the Korea Database Society Conference
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• 2001.11a
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• pp.76-112
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• 2001

Web personalization entails the creation and dissemination of person- or group-specific content -- including, but not limited to, advertising, marketing campaigns, cross- and up-sell recommendations, or service and support information. (omitted)

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.53-59
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• 2016

Recently, huge stream data have been generated in real time from various applications such as wireless sensor networks, Internet of Things services, and social network services. For this reason, to develop an efficient method have become one of significant issues in order to discover useful information from such data by processing and analyzing them and employing the information for better decision making. Since stream data are generated continuously and rapidly, there is a need to deal with them through the minimum access. In addition, an appropriate method is required to analyze stream data in resource limited environments where fast processing with low power consumption is necessary. To address this issue, the sliding window model has been proposed and researched. Meanwhile, one of data mining techniques for finding meaningful information from huge data, pattern mining extracts such information in pattern forms. Frequency-based traditional pattern mining can process only binary databases and treats items in the databases with the same importance. As a result, frequent pattern mining has a disadvantage that cannot reflect characteristics of real databases although it has played an essential role in the data mining field. From this aspect, high utility pattern mining has suggested for discovering more meaningful information from non-binary databases with the consideration of the characteristics and relative importance of items. General high utility pattern mining methods for static databases, however, are not suitable for handling stream data. To address this issue, sliding window based high utility pattern mining has been proposed for finding significant information from stream data in resource limited environments by considering their characteristics and processing them efficiently. In this paper, we conduct various experiments with datasets for performance evaluation of sliding window based high utility pattern mining algorithms and analyze experimental results, through which we study their characteristics and direction of improvement.

• Advances in environmental research
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• v.6 no.2
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• pp.83-94
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• 2017

Air quality planning and management requires accurate and consistent records of the air quality parameters. Limited number of monitoring stations and inconsistent measurements of the air quality parameters is a very serious problem in many parts of India. It becomes difficult for the authorities to plan proactive measures with such a limited data. Estimation models can be developed using soft computing techniques considering the physics behind pollution dispersion as they can work very well with limited data. They are more realistic and can present the complete picture about the air quality. In the present case study spatio-temporal models using Linear Genetic Programming (LGP) have been developed for estimation of air quality parameters. The air quality data from four monitoring stations of an Indian city has been used and LGP models have been developed to estimate pollutant concentration of the fifth station. Three types of models are developed. In the first type, models are developed considering only the pollutant concentrations at the neighboring stations without considering the effect of distance between the stations as well the significance of the prevailing wind direction. Second type of models are distance based models based on the hypothesis that there will be atmospheric interactions between the two stations under consideration and the effect increases with decrease in the distance between the two. In third type the effect of the prevailing wind direction is also considered in choosing the input stations in wind and distance based models. Models are evaluated using Band Error and it was observed that majority of the errors are in +/-1 band.