KIPS Transactions on Software and Data Engineering
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v.3
no.12
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pp.511-522
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2014
During the development of the software, a variety of bugs are reported. Several bug tracking systems, such as, Bugzilla, MantisBT, Trac, JIRA, are used to deal with reported bug information in many open source development projects. Bug reports in bug tracking system would be triaged to manage bugs and determine developer who is responsible for resolving the bug report. As the size of the software is increasingly growing and bug reports tend to be duplicated, bug triage becomes more and more complex and difficult. In this paper, we present an approach to assign bug reports to appropriate developers, which is a main part of bug triage task. At first, words which have been included the resolved bug reports are classified according to each developer. Second, words in newly bug reports are selected. After first and second steps, vectors whose items are the selected words are generated. At the third step, TF-IDF(Term frequency - Inverse document frequency) of the each selected words are computed, which is the weight value of each vector item. Finally, the developers are recommended based on the similarity between the developer's word vector and the vector of new bug report. We conducted an experiment on Eclipse JDT and CDT project to show the applicability of the proposed approach. We also compared the proposed approach with an existing study which is based on machine learning. The experimental results show that the proposed approach is superior to existing method.
KIPS Transactions on Computer and Communication Systems
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v.5
no.10
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pp.293-302
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2016
Since the electricity is produced and consumed simultaneously, predicting the electric load and securing affordable electric power are necessary for reliable electric power supply. In particular, a university campus is one of the highest power consuming institutions and tends to have a wide variation of electric load depending on time and environment. For these reasons, an accurate electric load forecasting method that can predict power consumption in real-time is required for efficient power supply and management. Even though various influencing factors of power consumption have been discovered for the educational institutions by analyzing power consumption patterns and usage cases, further studies are required for the quantitative prediction of electric load. In this paper, we build an electric load forecasting model by implementing and evaluating various machine learning algorithms. To do that, we consider three building clusters in a campus and collect their power consumption every 15 minutes for more than one year. In the preprocessing, features are represented by considering periodic characteristic of the data and principal component analysis is performed for the features. In order to train the electric load forecasting model, we employ both artificial neural network and support vector machine. We evaluate the prediction performance of each forecasting model by 5-fold cross-validation and compare the prediction result to real electric load.
Kim, Seung Ho;Bae, Seung Hyun;Jun, In;Park, Jong Ho;Son, Kang Ho
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.9
no.6
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pp.199-212
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2014
Recently, there are increasing to the interest in the organizational innovation DNA as the innovation origin and these interest mainly were approached through the case analysis of global innovative companies. The purpose of study is to investigate the applicability under the CEO of SMEs settings as global companies' cases. The research focused on the impact of innovator's DNA on innovative strategy by the empirical study that analyzed from 110 firm's data in Daegu and Gyeongbuk region. The results of empirical study, innovator's DNA has positive effects on the overall innovative strategy, especially the effects of discovery DNA are stronger than operational DNA. Included to the discovery DNA effects, operational DNA bring about negative on the product differentiation, though it has positive on the market differentiation. In terms of components of innovator's DNA, the questioning and association have strong impacts on the overall innovative strategy, and analyzing has positive on market differentiation, but specific task implementation has negative on the product differentiation. The results suggest that the logic of global innovation case is possible to the SME's CEO and need to learning efforts to promote discovery DNA for successful innovation.
The purpose of this study is to investigate the characteristics of 'best practire' in mathematics and suggest some solutions to several problems emerging in mathematics classes of secondary schools. The study was carried out by using qualitative research methods such as class observations and in-depth interviews with six teachers. Based on the collected data, we could sort out the major patterns which characterize 'the good mathematics teaching' at schools in Korea. The common characteristics of best practice in mathematics are drawn out from the six cases. The common characteristics include revising the curriculum and text books, realistic mathematics education, using ICT and meta-cognition, introduction with motivation and interest, performance assessment and managing differentiated small group. Results implied that six teachers used a variety of instructional methods and strategies which is related with the common characteristics of good mathematics teaching. Also these teachers not only improved their own classroom practices but also participated in various professional community of mathematics education and shared their practical knowledge. In conclusion assorted efforts from the government and the school principals as well as the teachers are prerequisite for practicing and spreading good mathematics teaching across the classrooms.
Synthetic cannabinoids JWH-018 and JWH-250 in 'herbal incense' also called 'spice' were first introduced in many countries. Numerous synthetic cannabinoids with similar chemical structures emerged simultaneously and suddenly. Currently there are not sufficient data on their adverse effects including neurotoxicity. There are only anecdotal reports that suggest their toxicity. In the present study, we evaluated the neurotoxicity of two synthetic cannabinoids (JWH-081 and JWH-210) through observation of various behavioral changes and analysis of histopathological changes using experimental mice with various doses (0.1, 1, 5 mg/kg). In functional observation battery (FOB) test, animals treated with 5 mg/kg of JWH-081 or JWH-210 showed traction and tremor. Their locomotor activities and rotarod retention time were significantly (p<0.05) decreased. However, no significant change was observed in learning or memory function. In histopathological analysis, neural cells of the animals treated with the high dose (5 mg/kg) of JWH-081 or JWH-210 showed distorted nuclei and nucleus membranes in the core shell of nucleus accumbens, suggesting neurotoxicity. Our results suggest that JWH-081 and JWH-210 may be neurotoxic substances through changing neuronal cell damages, especially in the core shell part of nucleus accumbens. To confirm our findings, further studies are needed in the future.
Kim, Woo Seob;Hong, Jung Soo;Kim, Han Koo;Kim, Seung Hong
Archives of Plastic Surgery
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v.32
no.2
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pp.155-160
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2005
The aim of this study is to establish anatomical dimension of the lip in young population in Korean, using specially designed soft ware with photographic image. We measure 13 anatomical dimensions of lips in 2,229 young people. (917 male, 1312 female, Aged from 18-33 years. Average age 19.7). Statistical analysis of these measurements of large population could offer useful information in facial plastic surgery. The mean measurements are as follows 1. Lengths (male/female) Widths of philtrum: $1.11{\pm}0.19cm/1.02{\pm}0.21cm$ Heights of philtrum: $1.6{\pm}0.24cm/1.47{\pm}0.21cm$ Heights of cupid bow: $0.88{\pm}0.16cm/0.83{\pm}0.16cm$ Height of upper vermilion: $0.74{\pm}0.16cm/0.70{\pm}0.15cm$ Height of lower vermilion: $1.08{\pm}0.17cm/1.02{\pm}0.15cm$ Height of upper lip(Rt.): $1.24{\pm}0.2cm/1.23{\pm}0.2cm$ Height of upper lip(Lt.): $1.24{\pm}0.2cm/1.17{\pm}0.19cm$ Half horizontal length of lip: $2.2{\pm}0.26cm/2.11{\pm}0.2cm$ Horizontal length of lip: $4.41{\pm}0.4cm/4.25{\pm}0.36cm$ Height of lower face: $7.1{\pm}0.58cm/6.52{\pm}0.6cm$ 2. Angles Nasolabial angle: $97.77{\pm}11.97^{\circ}/95.5{\pm}11.34^{\circ}$ Mentolabial angle: $133.88{\pm}14.65^{\circ}/129.27{\pm}13.67^{\circ}$ Angle of Cupid's bow: $111.65{\pm}13.99^{\circ}/116.75{\pm}16.2^{\circ}$ Previous reported photogrammetric measurements was difficult to implement to surgical practice. Because these were printed photographies of the same size. Therefore, in this study, we can measure a lot of objects and items more conveniently and correctly by using proportional program on computer after taking a digital photograph. Consequently, proportional measurements with photogrammetry of lip could be useful and corrective substitute for anthropometrical measuring. These data could be useful reference for preoperative consultation, surgical planning and learning anatomical measurement of lips and adjacent structures.
Objectives : The purpose of this study was to correlation between the index of dental caries in primary teeth and the habits of diet and snack which are expected to influence on the index. The subjects of this study were 165 parents of the children who visited a pediatric dental hospital located in Gyeong-gi do from Jun. 15th to Sep. 26th, 2009, and the self-report questionnaire survey was performed. Methods : A questionnaire used in a previous study was revised and completed for this study and it consisted of 15 items on general characteristic, nine items on dietary habit, and five items on snack intake habit. The collected data was analyzed using SPSS program and findings are as follows Results : 1. The index of dental caries in primary teeth by ages was that children of four years old has 4~5 with 27.5%, children of five years old has 2~3 and 4~5 with 33.3% and children of six years old has 1 and 8~9 with 25.6%, showing a statistically significant(${\chi}^2$=37.72, p<.01). 2. The frequency of brushing teeth was found to have statistically significant negative correlation with the number of primary teeth with dental caries (${\chi}^2$=61.20, p<.001). 3. The frequency of taking snack was found to have statistically significant positive correlation with the number of primary teeth with dental caries (${\chi}^2$=51.42, p<.001). 4. The desirability of dietary habit was found to have statistically significant negative correlation with the number of primary teeth with dental caries (${\chi}^2$=36.51, p<.001). 5. The frequency of taking biscuit was found to have statistically significant positive correlation with the number of primary teeth with dental caries (${\chi}^2$=67.74, p<.001). 6. The frequency of taking bread was found to have statistically significant positive correlation with the number of primary teeth with dental caries (${\chi}^2$=29.63, p<.01). 7. The frequency of taking caramel and candy was found to have statistically significant positive correlation with the number of primary teeth with dental caries (${\chi}^2$=38.85, p<.001). 8. The frequency of taking soft drinks was found to have statistically significant positive correlation with the number of primary teeth with dental caries (${\chi}^2$=52.92, p<.001). 9. The frequency of taking ice-creams was found to have statistically significant positive correlation with the number of primary teeth with dental caries (${\chi}^2$=75.07, p<.001). Conclusions : Those findings show that the children with undesirable dietary habit and higher frequency of taking snack have higher index of dental caries in primary teeth, therefore, it is considered that the regular brushing teeth and establishment of desirable dietary habit are very important for keeping health oral cavity. It is recommended that the continuous concern and repeated learning are needed in house and group of rearing infants so that the children take foods of fruits which have function of self-purification than the food of carbohydrates which has high adhesion and level of sweetness.
Journal of the Korean Society for information Management
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v.30
no.2
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pp.245-268
/
2013
The paper describes a case study in which Sungkyunkwan University Library participated in the official ARL(Assoication of Research Libraries) LibQUAL+ evaluation program. LibQUAL+ model is based on the SERVQUAL service quality evaluation model originally developed in the marketing area. It details a number of processes including translation of the LibQUAL+ survey instrument into Korean, selection of study sample and choice of survey versions. In addition, it offers a number of strategies that can be adopted in order to analyze the survey data for various comparisons among different user groups and institutions. LibQUAL+ is more that a survey instrument; it a holistic system for assessing library service quality. Despite criticisms on LibQUAL+, we expect that university libraries in Korean will benefit from participating in the program. It is preferable that a group of libraries form a consortium to participate in the LibQUAL+ program as opposed to individual participation. The consortium can function as a learning community through various workshops and sharing activities, thus elevate the overall evaluation efforts in Korean libraries to a higher level.
Nowadays, product recommendation is one of the important issues regarding both CRM and Internet shopping mall. Generally, a recommendation system tracks past actions of a group of users to make a recommendation to individual members of the group. The computer-mediated marketing and commerce have grown rapidly and thereby automatic recommendation methodologies have got great attentions. But the researches and commercial tools for product recommendation so far, still have many aspects that merit further considerations. To supplement those aspects, we devise a recommendation methodology by which we can get further recommendation effectiveness when applied to Internet shopping mall. The suggested methodology is based on web log information, product taxonomy, association rule mining, and decision tree learning. To implement this we also design and intelligent Internet shopping mall support system based on agent technology and develop it as a prototype system. We applied this methodology and the prototype system to a leading Korean Internet shopping mall and provide some experimental results. Through the experiment, we found that the suggested methodology can perform recommendation tasks both effectively and efficiently in real world problems. Its systematic validity issues are also discussed.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.6
/
pp.145-154
/
2017
Technology innovation is regarded as the quintessential process to acquire a competitive advantage. This is especially true in high-tech industries, and firms that recognize the importance of technological innovation concentrate their capacities on developing new technologies, new products, and new processes. In general, such research requires many resources, but not all technological breakthroughs are followed by positive feedbacks. Consequently, the firms in high-tech industries are compelled to find new directions in acquiring technologies. This study examines the factors that influence technological innovation and empirically tests the effect these factors have on its diffusion. Radicality, discontinuity, and exploitation/exploration were selected as the factors from the previous literature on technological innovation and organizational learning. For the empirical test, patent data from the US semiconductor industry were used to describe innovation activities from various fields. From the result, these three factors (Ed- is this what you mean, i.e., radicality, discontinuity, and exploitation/exploration?)were found to have significant meaning as proxies for the diffusion of technological innovation.
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