• Proceedings of the Korea Technology Innovation Society Conference
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• 2002.11a
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• pp.45-57
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• 2002

Since a new entrant in the telecommunications market requires time in order to construct its own network, a requirement on the incumbent operator to implement carrier selection and pre-selection can enable a new entrant to immediately attract customers and earn revenue. Carrier selection can normally be accomplished in two ways, on a call-by-call basis or through carrel pre-selection. Call-by-call selection allows customers to choose a new entrant rather than the incumbent carrier using a specific code designated to the new carrier each time a call is made. Carrier Pre-Selection, on the other hand, allows customers directly connect to the network of one provider to have access automatically to another company's services when they pick up the phone to make certain types of calls. The carrier pre-selection option is generally considered to be a second regulatory step following the implementation of the call-by-call carrier selection option. Carrier pre-selection with the ability to override on a call-by-call basis for long distance, international, local, and fixed-to-mobile calls has now been implemented in many EU countries. This paper attempts to identify the issues in introducing CPS and to draw policy implications from other countries' experiences.

• Journal of The Korean Association For Science Education
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• v.36 no.5
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• pp.729-737
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• 2016

Natural selection is the core idea of evolution that pre-service biology teachers need to understand to solve diverse biological problem. This study aims to investigate the level of Korean pre-service biology teachers' understanding of natural selection by comparing their knowledge with their Chinese, American, and German biology major undergraduate counterparts. In particular, this study focuses on two conceptual components of natural selection (i.e., ecology and genetics). This study used a total 1226 pre-service biology teachers and biology majors' data. The instrument measuring the understanding of natural selection concepts was Conceptual Inventory of Natural Selection, which consists of ten ecology concept items and ten genetics concept items. The Rasch model analysis, multivariate analysis of variance, and univariate analysis of variance were used for the statistical tests. The result reveals that the level of Korean pre-service biology teachers' understanding of natural selection were similar with Chinese undergraduates' understanding and significantly lower than American and German undergraduates.' In the first year student data, the level of genetics concept of Korean pre-service biology teachers were significantly lower than Chinese and German students. In the fourth year student data, the level of ecology concept of Korean pre-service biology teachers were significantly lower than American and German students. Based on these results, the ecology concept education and balanced natural selection concept education are discussed.

• The Journal of the Acoustical Society of Korea
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• v.26 no.4
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• pp.159-165
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• 2007

In this paper, we propose a new pre-selection of candidate units that is suitable for the unit selection based Japanese TTS system. General pre-selection method performed by calculating a context-dependent cost within IP (Intonation Phrase). Different from other languages, however. Japanese has an accent represented as the height of a relative pitch, and several words form a single accentual phrase. Also. the prosody in Japanese changes in accentual phrase units. By reflecting such prosodic change in pre-selection. the qualify of synthesized speech can be improved. Furthermore, by calculating a context-dependent cost within accentual phrase, synthesis speed can be improved than calculating within intonation phrase. The proposed method defines AP. analyzes AP in context and performs pre-selection using accentual phrase matching which calculates CCL (connected context length) of the Phoneme's candidates that should be synthesized in each accentual phrase. The baseline system used in the proposed method is VoiceText, which is a synthesizer of Voiceware. Evaluations were made on perceptual error (intonation error, concatenation mismatch error) and synthesis time. Experimental result showed that the proposed method improved the qualify of synthesized speech. as well as shortened the synthesis time.

• Journal of IKEEE
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• v.19 no.3
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• pp.455-459
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• 2015

This paper proposes a dispatch unit of GP-GPU with SIMT architecture to support the acceleration of general-purpose operation as well as graphics processing. If all the information of an operand used instructions issued from the warp scheduler is decoded, an unnecessary operand load occurs, resulting in register loads. To resolve this problem, this paper proposes a method that can reduce the operand load and the load on the resister by decoding only the information of the operand using a pre-decoding method. The operand information from the dispatch unit is passed to the operand selection unit with preventing register bank collisions. Thus the overall performance are improved. In the simulation test, the total clock cycles required by processing 10,000 arbitrary instructions issued from the wrap scheduler using ModelSim SE 10.0b are measured. It shows that the application of the dispatch unit equipped with the pre-decoding function proposed in this paper can make an improvement of about 12% in processing performance compared to the conventional method.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.67-76
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• 2019

As the attracting foreign student has become a very important strategy, detailed researches on their college selection and their satisfaction with college life are needed. Especially it is necessary to distinguish ordinary international students and those who take classes in Local Education Centers (LEC) before coming to Korea. The central purpose of this study is to identify how the two types of students differ in their perception of college selection factors and what factors affect their satisfaction with college life. A total of 186 international students participated in the study. It was found that the most important college selection factor of the pre-educated LEC students was 'obtaining academic ability through online classes and transfer of credit hours'. Second, these students reported that the two influential factors for their satisfaction with college life were 'quality of education' and 'cultural experience program'. Third, it was found that the major college selection factors influencing ordinary international students' college life satisfaction were 'expertise of faculty', 'transfer of credit through curriculum links', and 'recommendation from teachers at home country'. Fourth, the major factors affecting the pre-educated LEC students' satisfaction with college life were 'KSL classes at LE's', 'expertise of faculty', and 'financial aid system'.

• Journal of Korean Elementary Science Education
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• v.28 no.4
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• pp.404-414
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• 2009

The revised curriculum in 2007 includes open inquiry approach to increase students' interest in science and to build up creativity. So teachers and pre-service teachers should be equipped with the ability of open inquiry performance. In order to investigate pre-service teachers' readiness to perform open inquiry tasks, we analyzed reports written as homework by a group of 71 juniors in a national university of education. The investigation tool was composed of four domains: topic selection, the inquiry process, the conclusion, and reporting. Each domain had three or four sub-domains. By using the framework, four raters scored the students' inquiry reports. The findings reveal that the pre-service elementary school teachers have difficulty in the domain of 'topic selection' and the 'conclusion' compared with the other domains. Under the topic selection domain, they showed weaknesses in 'creativity' and 'scientific topic' and under the conclusion domain, they had difficulty in 'recognizing limits' and 'value of conclusion'. The finding suggests that pre-service teaching program should provide with opportunities to perform open inquiry continually.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.3
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• pp.31-38
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• 2010

In this paper, we have analyzed and compared the BER and the throughput performance through the computer simulation, after applying several MIMO schemes on the MIMO-OFDM system. Then, the throughput performance of the proposed system, Adaptive-MCM, is analyzed. As a result, the MIMO-OFDM Adaptive-MCM system proposed has a higher average data rate than Non Adaptive-MCM system through the improvement of Trade-off problem between throughput and SNR.

• Journal of Labour Economics
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• v.27 no.3
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• pp.1-23
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• 2004

To investigate the interdependence of the decisions on when to retire and how much consume before and after retirement, we compare the pre- (or post-) retirement consumption conditioned on the retirement decision with pre- (or post-) retirement consumption regardless of retirement decision by using the Korea Labor and Income Panel Study(KLIPS). We employ the two-stage switching regression for the econometric method to investigate the interdependence of two decisions of retirement and pre- or post retirement consumption. Then we test the existence of the interdependence in terms of the significance of the estimated selection biases which appear in the pre- (post-) retirement consumption equations for early and late retirees. In those equations, we also compare the income elasticity of the consumption of the early retirees with that of the late retirees. The empirical results show that there is negative selection bias in early retirees' consumption. These results imply that due to the early retirement decision early retirees would have consumed less than they actually have. The income elasticities of the consumption of the early retirees is smaller than that of the late retirees in pre- (or post-) retirement consumption equation. This result shows that relatively longer retirement period due 10 the early retirement affect the pre-retirement consumption. early retirees' marginal propensity to consume should be lower than that of the late retirees.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.177-184
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• 2021

All over the world, people are affected by many chronic diseases and medical practitioners are working hard to find out the symptoms and remedies for the diseases. Many researchers focus on the feature detection of the disease and trying to get a better health recommendation system. It is necessary to detect the features automatically to provide the most relevant solution for the disease. This research gives the framework of Health Recommendation System (HRS) for identification of relevant and non-redundant features in the dataset for prediction and recommendation of diseases. This system consists of three phases such as Pre-processing, Feature Selection and Performance evaluation. It supports for handling of missing and noisy data using the proposed Imputation of missing data and noise detection based Pre-processing algorithm (IMDNDP). The selection of features from the pre-processed dataset is performed by proposed ensemble-based feature selection using an expert's knowledge (EFS-EK). It is very difficult to detect and monitor the diseases manually and also needs the expertise in the field so that process becomes time consuming. Finally, the prediction and recommendation can be done using Support Vector Machine (SVM) and rule-based approaches.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.983-984
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• 2008

This paper proposes a variable break that can offset prediction error as well as a pre-selection methods, based on the variable break, for enhanced unit selection. In Japanese, a sentence consists of several APs (Accentual phrases) and MPs (Major phrases), and the breaks between these phrases must predicted to realize text-to-speech systems. An MP also consists of several APs and plays a decisive role in making synthetic speech natural and understandable because short pauses appear at its boundary. The variable break is defined as a break that is able to change easily from an AP to an MP boundary, or from an MP to an AP boundary. Using CART (Classification and Regression Trees), the variable break is modeled stochastically, and then we pre-select candidate units in the unit-selection process. As the experimental results show, it was possible to complement a break prediction error and improve the naturalness of synthetic speech.