• Journal of Information Management
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• v.41 no.2
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• pp.31-46
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• 2010

Now named-entity recognition(NER) as a part of information extraction has been used in the fields of information retrieval as well as question-answering systems. Unlike words, named-entities(NEs) are generated and changed steadily in documents on the Web, newspapers, and so on. The NE generation causes an unknown word problem and makes many application systems with NER difficult. In order to alleviate this problem, this paper proposes a new feature generation method for machine learning-based NER. In general features in machine learning-based NER are related with words, but entities in named-entity dictionaries are related to phrases. So the entities are not able to be directly used as features of the NER systems. This paper proposes an encoding scheme as a feature generation method which converts phrase entities into features of word units. Futhermore, due to this scheme, entities with semantic information in WordNet can be converted into features of the NER systems. Through our experiments we have shown that the performance is increased by about 6% of F1 score and the errors is reduced by about 38%.

• Hwankyungkyoyuk
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• v.23 no.2
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• pp.82-96
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• 2010

The purposes of this study are to investigate the perception of renewable energy technology among elementary school teachers, and confirm whether elementary school teachers have basic knowledge about renewable energy sources, including solar, wind, and tidal power generation. We conducted preliminary interviews to gather information related to other studies about renewable energy. We developed the last interview question about the perception and knowledge of elementary school teachers regarding renewable energy. This study analyzed the transcribed responses of 10 elementary school teachers in Siheung-city, Gyeonggi-do, following 30-minute interviews. The study's findings are as follows. First, elementary school teachers recognize that they are unfamiliar with concepts and they have only shallow content knowledge about renewable energy. And they tended to distorted to other concepts, and analyze to different meanings. Second, elementary school teachers thought that knowledge about renewable energy should be part of a well-rounded education. And they felt positively about solar energy and wind power energy generation but they had a negative view towards tidal power generation because it destroys tideland. Third, teachers tended to confuse solar heat energy and geothermal energy, they tend to think this two energy sources the same. Teachers had generally correct concepts about wind power energy generation. In the case of tidal power generation, elementary school teachers answered mechanically that it is possible on the western sea, and that 'the difference between the rise and fall of the tide' grows. But they could not talk in depth about 'the difference between the rise and fall of the tide' and the force of waves. This suggests that they are answering by simple memorization and without deep understanding.

• Journal of Hydrogen and New Energy
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• v.33 no.6
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• pp.723-732
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• 2022

Cracking ammonia inside solid oxide fuel cell (SOFC) stack is a compact and simple way. To prevent sharp temperature fluctuation and increase cell efficiency, the decomposition reaction should be spread on whole cell area. This leading to a question that, how does anode thickness affect the conversion rate of ammonia and the cell voltage? Since the 0D model of SOFC is useful for system level simulation, how accurate is it to use equilibrium solver for internal ammonia cracking reaction? The 1D model of ammonia fed SOFC was used to simulate the diffusion and reaction of ammonia inside the anode electrode, then the partial pressure of hydrogen and steam at triple phase boundary was used for cell voltage calculation. The result shows that, the ammonia conversion rate increases and reaches saturated value as anode thickness increase, and the saturated thickness is bigger for lower operating temperature. The similar cell voltage between 1D and 0D models can be reached with NH₃ conversion rate above 90%. The 0D model and 1D model of SOFC showed similar conversion rate at temperature over 750℃.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.313-322
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• 2019

This study poses a question on whether the Jangmadang Generation, which has been the focus of the sociological interest, can form an actual generation by transcending the social classes, status of students, ethnicity, and gender, etc. Therefore, in this study, the author compared the consciousness of the Jangmadang Generation in terms of politics, education, society, compliance with law, and education with their preceding generations. The data used in this study were gathered from the North Korean defectors who defected within the past five years over the period from November to December 2016. A total of 200 questionnaires were used for data analysis, which was conducted using SPSS 20.0, in order to show differences between groups and perform frequency analysis. The analysis results showed that the consciousness of the Jangmadang Generation in politics, society, compliance, and education was lower, while the economic consciousness was significantly higher compared to earlier generations. As their objective generational status, the Jangmadang Generation had experienced the 'March of Ordeal' and 'Collapse of Public Education' while they were still teenagers. Such a difference in their generational status influenced the formation of different consciousness as a generation compared to the earlier generations. Compared to the earlier generations who received 'proper public education,' the Jangmadang Generation, who did not receive 'decent public education' shows a generally lower level of consciousness compared to the earlier generations. As such, the Jangmadang Generation has the potential to form a separate generation with a different generation consciousness from that of earlier generations.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.247-256
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• 2017

The purpose of this study was to identify the convergent influence of social awareness and health status on social support in Korean echo generation by using Korea adult psycho-social anxiety survey data. Korea adult psycho-social anxiety survey data were collected from August to September 2015 and included 1,653, who responded to the question regarding social support. The data were analyzed by t-test, chi-square and hierarchial multiple regression using SPSS WIN 23.0 program. The mean score of social support was 19.60. The influencing factors on social support were neighborhood relations, perceived class, euphoria, equality in society, stability in society, self Esteem, communication, and stress, respectively. Therefore, it is necessary to establish strategies to strengthen social support of echo generation. A more careful examination may be warranted.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.147-154
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• 2024

This study focuses on the modeling and analysis of the linear generator for a bladeless wind power generation to overcome the limitations and drawbacks of conventional wind turbines. A bladeless wind power generation system has the advantages of low land requirement for installation and maintenance cost compared to a blade wind power turbine. Nevertheless, question concerning the generator topology are not satisfying answered. The goal of the research is to compare and analyze the characteristics of horizontal and vertical structures of linear generator for bladeless wind power systems. The proposed topology will be analyzed using magnetic energy by equivalent magnetic circuit method, and then it has been compared and evaluated by finite element method. The results of this project will give elaborate information about new generator structures for wind power system and provide insights into the characteristics of bladeless wind power generation.

• Journal of Distribution Science
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• v.8 no.3
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• pp.27-35
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• 2010

As the population, buying power, and intensity of self-expression of the elderly generation increase, its importance as a market segment is also growing. Therefore, the mass marketing strategy for the elderly generation must be changed to a micro-marketing strategy based on the results of sub-segmentation that suitably captures the characteristics of this generation. Furthermore, as a customer access strategy is decided by sub-segmentation, proper segmentation is one of the key success factors for micro-marketing. Segments or sub-segments are different from sectors, because segmentation or sub-segmentation for micro-marketing is based on the homogeneity of customer needs. Theoretically, complete segmentation would reveal a single voice. However, it is impossible to achieve complete segmentation because of economic factors, factors that affect effectiveness, etc. To obtain a single voice from a segment, we sometimes need to divide it into many individual cases. In such a case, there would be a many segments to deal with. On the other hand, to maximize market access performance, fewer segments are preferred. In this paper, we use the term "sub-segmentation" instead of "segmentation," because we divide a specific segment into more detailed segments. To sub-segment the elderly generation, this paper takes their lifestyles and life stages into consideration. In order to reflect these aspects, various surveys and several rounds of expert interviews and focused group interviews (FGIs) were performed. Using the results of these qualitative surveys, we can define six sub-segments of the elderly generation. This paper uses five rules to divide the elderly generation. The five rules are (1) mutually exclusive and collectively exhaustive (MECE) sub-segmentation, (2) important life stages, (3) notable lifestyles, (4) minimum number of and easy classifiable sub-segments, and (5) significant difference in voices among the sub-segments. The most critical point for dividing the elderly market is whether children are married. The other points are source of income, gender, and occupation. In this paper, the elderly market is divided into six sub-segments. As mentioned, the number of sub-segments is a very key point for a successful marketing approach. Too many sub-segments would lead to narrow substantiality or lack of actionability. On the other hand, too few sub-segments would have no effects. Therefore, the creation of the optimum number of sub-segments is a critical problem faced by marketers. This paper presents a method of evaluating the fitness of sub-segments that was deduced from the preceding surveys. The presented method uses the degree of homogeneity (DoH) to measure the adequacy of sub-segments. This measure uses quantitative survey questions to calculate adequacy. The ratio of significantly homogeneous questions to the total numbers of survey questions indicates the DoH. A significantly homogeneous question is defined as a question in which one case is selected significantly more often than others. To show whether a case is selected significantly more often than others, we use a hypothesis test. In this case, the null hypothesis (H0) would be that there is no significant difference between the selection of one case and that of the others. Thus, the total number of significantly homogeneous questions is the total number of cases in which the null hypothesis is rejected. To calculate the DoH, we conducted a quantitative survey (total sample size was 400, 60 questions, 4~5 cases for each question). The sample size of the first sub-segment-has no unmarried offspring and earns a living independently-is 113. The sample size of the second sub-segment-has no unmarried offspring and is economically supported by its offspring-is 57. The sample size of the third sub-segment-has unmarried offspring and is employed and male-is 70. The sample size of the fourth sub-segment-has unmarried offspring and is not employed and male-is 45. The sample size of the fifth sub-segment-has unmarried offspring and is female and employed (either the female herself or her husband)-is 63. The sample size of the last sub-segment-has unmarried offspring and is female and not employed (not even the husband)-is 52. Statistically, the sample size of each sub-segment is sufficiently large. Therefore, we use the z-test for testing hypotheses. When the significance level is 0.05, the DoHs of the six sub-segments are 1.00, 0.95, 0.95, 0.87, 0.93, and 1.00, respectively. When the significance level is 0.01, the DoHs of the six sub-segments are 0.95, 0.87, 0.85, 0.80, 0.88, and 0.87, respectively. These results show that the first sub-segment is the most homogeneous category, while the fourth has more variety in terms of its needs. If the sample size is sufficiently large, more segmentation would be better in a given sub-segment. However, as the fourth sub-segment is smaller than the others, more detailed segmentation is not proceeded. A very critical point for a successful micro-marketing strategy is measuring the fit of a sub-segment. However, until now, there have been no robust rules for measuring fit. This paper presents a method of evaluating the fit of sub-segments. This method will be very helpful for deciding the adequacy of sub-segmentation. However, it has some limitations that prevent it from being robust. These limitations include the following: (1) the method is restricted to only quantitative questions; (2) the type of questions that must be involved in calculation pose difficulties; (3) DoH values depend on content formation. Despite these limitations, this paper has presented a useful method for conducting adequate sub-segmentation. We believe that the present method can be applied widely in many areas. Furthermore, the results of the sub-segmentation of the elderly generation can serve as a reference for mature marketing.

• International Journal of High-Rise Buildings
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• v.9 no.3
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• pp.245-253
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• 2020

With the ever-increasing height of timber buildings, the complexity of timber as a structural material gives rise to behaviors not previously studied by engineers. An urgent call is needed regarding their performance in damage scenarios: activating alternative load paths in tall timber buildings is not the same as in tall buildings made with steel and concrete. In this paper we propose a robustness framework covering all building materials, whose application in timber may lead to new conceptual designs for the next generation of tall timber buildings. Qualitatively, the importance of building scale and the distinction between localized and systematic exposures are discussed, and how existing supertall structures can be an example for future generations of tall timber buildings. Quantitatively, the robustness index is introduced alongside a method to calculate the performance of a given building regarding robustness, in order to find the most cost-effective structural solutions for improved robustness. A three-level application recommendation is made, depending on the importance of the building in question. Primarily, the paper highlights the importance of conceptual design to achieve structural robustness and encourages the practicing engineering community to use the proposed framework to quantitatively come up with the new generation of tall timber buildings.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.1093-1106
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• 2020

The role of the social environment for any activity is crucial as it prompts new ideas and plays a role of lever for entrepreneurial longevity and creating value through social wellbeing. The lack of entrepreneurship related knowledge in Pakistan has taken the challenge of lesser entrepreneurial activity as compared to other counterpart Asian countries and ranked 138 out of 189 countries on the level of ease of doing business. The study aims to investigate the social environment as a mediator among idea generation, business creation, financing decision and entrepreneurial activity by utilizing quantitative approach. In order to achieve the objective, a total of thirty eight items scale was self-administered for data collection. A non-probability, snowball sampling technique was employed and assembled a total of 300 complete responses through online and paper based surveys as per information provided by the chamber of commerce of three regions namely; Sukkur, Hyderabad and Karachi Sindh, Pakistan. The data analysis result strongly supported the main research question as the entrepreneurial activity increased up to 43.8% after applying social environment as a mediator. This research can help to enhance entrepreneurial activities in Pakistan by creating awareness to support entrepreneurs at social level for entrepreneurship.

• Educational Technology International
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• v.25 no.1
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• pp.67-92
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• 2024

This study aims to verify the practical effectiveness of learning management system (LMS) by introducing a LMS enhancing digital assessment utilizing automatic item generation in order to strengthen college student's mathematics performance. Teaching assisted with digital assessment in the LMS was applied to college mathematics classes, and the research question is whether or not students in the classes utilizing the LMS perform better than the regular classes. In particular, a calculus course, which is the foundation of important artificial intelligence technology in the future, was utilized in this study. The participants of this study were 248 freshmen in science and engineering who were taking calculus courses at a small to mid-size university. A total of 156 freshmen were selected after applying a propensity score matching method (PSMM), 78 from classes utilizing the LMS and 78 from regular classes without the LMS assisted with the digital assessment. As a result, it was found that there was a statistically significant difference in the math academic growth of students who used the LMS and those who did not. In other words, when LMS was used in calculus, students' academic growth was greater. The results of this study are meaningful in that they observed students' academic growth and confirmed that LMS enables a positive role in students' academic growth. In addition, if digital assessment is strengthened and LMS that enables individualized learning analysis is introduced and implemented in educational institutions, it is expected to play a major role in strengthening students' academic performance.