• Journal of information and communication convergence engineering
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• v.9 no.2
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• pp.155-160
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• 2011

In distributed source localization where sensors transmit measurements to a fusion node, we address the sensor selection problem where the goal is to find the best set of sensors that maximizes localization accuracy when quantization of sensor measurements is taken into account. Since sensor selection depends heavily upon rate assigned to each sensor, joint optimization of rate allocation and sensor selection is required to achieve the best solution. We show that this task could be accomplished by solving the problem of allocating rates to each sensor so as to minimize the error in estimating the position of a source. Then we solve this rate allocation problem by using the generalized BFOS algorithm. Our experiments demonstrate that the best set of sensors obtained from the proposed sensor selection algorithm leads to significant improvements in localization performance with respect to the set of sensors determined from a sensor selection process based on unquantized measurements.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.130-134
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• 2006

In the distributed replicating server model, the provision of replicated services will improve the performance of the providing service and efficiency for clients. Efficiently composing the server selection algorithm decreases the retrieval time for replicated data. In this paper, we define the system model that selects and connects the replicated server that provides an optimal service using the server-side downstream measurement and propose a server selection algorithm.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.1157-1160
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• 2003

We proposed a study on optimal clock period selection algorithm for low power RTL design. The proposed algorithm use the way of maintaining the throughput by reducing supply voltage after improve the system performance in order to minimize the power consumption. In this paper, it select the low power to use pipeline in the transformation of architecture. Also, the algorithm is important the clock period selection in order to maximize the resource sharing. however, it execute the optimal clock period selection algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.6A
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• pp.600-606
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• 2004

An interleaving delay diversity scheme is investigated in this paperand the applications in the multi-code WCDMA system along with antenna selection diversity is proposed. The proposed algorithm utilizes interleaving and delayed duplicated transmission mechanism to mitigate the effect of noise and fading. The interleaved signal and the original signal are both transmitted at intervals to obtain time diversity without any increase in required capacity. By adjusting the number of retransmissions of the information signal properly, the system achieve the receive diversity efficiently. For transmission power efficiency the proposed system also applies antenna selection diversity. By computer simulation, it has been shown that the proposed algorithm achieves better performance than the conventional algorithms by more than 2dB.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.3
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• pp.249-257
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• 2013

Recently, data traffic is significantly increased by high rate data service. As a result, radio spectrum is considered one of the most scarce and valuable resources for wireless communications. For the solution of this problem, cognitive radio(CR) has been proposed as an efficient means to opportunistic spectrum sharing between primary (licensed) users and cognitive radio users. In this paper, user selection scheme in CR networks is proposed for additional consideration of secondary system. The proposed user selection scheme mitigates interference to primary user by using orthogonal channel vectors while improves performance of secondary system. Simulation results show that the proposed scheme achieves 1.62bps/Hz higher average throughput of whole system than one of the existing scheme.

• Proceedings of the KAIS Fall Conference
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• 2006.05a
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• pp.608-610
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• 2006

Supply Chain Management(SCM) system is a critical investment that can affect future competitiveness and performance of a company. When adopting a new SCM system, organizations experience increasing difficulty in decision making because information technology is changing so rapidly these days. Therefore, organizations have been looking for industry standards and proven methods of selection that they can utilize to choose the best SCM system. To select an optimum solution, we need to consider a number of different quantitative and qualitative factors such as cost, user interface and convenience, reference site, and so on. In this study, we propose a solution selection model of SCM systems using Fuzzy AHP to maximize the return on investment in information technology. The proposed model can systematically construct the objectives of SCM system selection to support the business goals.

• Proceedings of the Safety Management and Science Conference
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• 2009.11a
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• pp.231-249
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• 2009

The 'Excellent Quality Competitive Enterprises' selection system began with the government's selection and announcement of 'Top 100 Excellent Quality Competitive Enterprises' in 1997 in accordance with Article 6 of the Quality Management and Safety Control of Industrial Products Act and Article 5 (Selection of excellent quality management enterprises, etc.) of the Act's Enforcement Decree. The content of the research and analysis results is summarized as follows: 1. The participation and confidence of enterprises in the differentiation of the assessment system for the excellent quality competitive enterprises selection system is high: from the initial year to the present, 10% of enterprises have participated in the system for over 10 years and since 2000 participating enterprises have been on a steady rise. 2. The distribution of participating enterprises is not limited to any specific region but is spread nationwide, while the participation scale and business types also are being evenly distributed. 3. From the perspective of management performance, as compared with the average of domestic manufacturing businesses or that of U.S. manufacturing businesses, an analysis found that among management results, the excellent quality competitive enterprises achieved far higher sales growth and operating profit rate on sales, however their own capital ratio and debt to equity ratio appeared to be slightly higher.

• MALSORI
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• no.63
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• pp.125-137
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• 2007

Recently, many techniques have been proposed to improve the noise robustness for speaker verification. In this paper, we consider the feature recombination technique in multi-band approach. In the conventional feature recombination for speaker verification, to compute the likelihoods of speaker models or universal background model, whole feature components are used. This computation method is not effective in a view point of multi-band approach. To deal with non-effectiveness of the conventional feature recombination technique, we introduce a subband likelihood computation, and propose a modified feature recombination using subband likelihoods. In decision step of speaker verification system in noise environments, a few very low likelihood scores of a speaker model or universal background model cause speaker verification system to make wrong decision. To overcome this problem, a reliable feature selection method is proposed. The low likelihood scores of unreliable feature are substituted by likelihood scores of the adaptive noise model. In here, this adaptive noise model is estimated by maximum a posteriori adaptation technique using noise features directly obtained from noisy test speech. The proposed method using subband-based reliable feature selection obtains better performance than conventional feature recombination system. The error reduction rate is more than 31 % compared with the feature recombination-based speaker verification system.

• Journal of Communications and Networks
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• v.15 no.1
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• pp.45-53
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• 2013

Multi-hop cellular networks (MCNs), which reduce the transmit power, mitigate the inter-cell interference, and improve the system performance, have been widely studied nowadays. The relay selection scheme is a key technique that achieves these advantages, and inappropriate relay selection causes frequent relay switchings, which deteriorates the overall performance. In this study, we analyze the conditions for relay switching in MCNs and obtain the expressions for the relay switching rate and relay activation time. Two mobile-based relay selection schemes are proposed on the basis of this analysis. These schemes select the relay node with the longest relay activation time and minimal relay switching rate through mobility prediction of the mobile node requiring relay and available relay nodes. We compare the system performances via simulation and analyze the impact of various parameters on the system performance. The results show that the two proposed schemes can obtain a lower relay switching rate and longer relay activation time when there is no reduction in the system throughput as compared with the existing schemes.

• Journal of Gifted/Talented Education
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• v.22 no.4
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• pp.929-942
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• 2012

The purpose of this study was to propose for efficient selection with observation and nomination system and efficient operation of Convergence Science class in a Science Institute for Gifted Youth attached in university. For this purpose, we analyzed the result of entrance exam with observation and nomination system, and the correlation between enterance exam score and achievement to perform at the Convergence Science class. As a result, despite observation and nomination system is highly dependent on observers and recommenders, they have very different perspectives each other. In addition it was founded that selection and education process after admission is inconsistent.