The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.12
no.3
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pp.231-241
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2019
Web Usage Mining (WUM) is one part of Web mining and also the application of data mining technique. Web mining technology is used to identify and analyze user's access patterns by using web server log data generated by web users when users access web site. So first of all, it is important that the data should be acquired in a reasonable way before applying data mining techniques to discover user access patterns from web log. The main task of data acquisition is to efficiently obtain users' detailed click behavior in the process of users' visiting Web site. This paper mainly focuses on data acquisition stage before the first stage of web usage mining data process with activities like data acquisition strategy and field extraction algorithm. Field extraction algorithm performs the process of separating fields from the single line of the log files, and they are also well used in practical application for a large amount of user data.
Journal of the Korea Society of Computer and Information
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v.27
no.2
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pp.15-23
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2022
In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.
As the BIM designing technology has been applied recently in the construction field, architectural design education in the field of work and university has been changing to 3D modeling. Nevertheless, architectural design & drafting education in the construction specialized vocational high school is not responding appropriately to change. Despite the fact that students need to have 3D modeling design ability, there is a very lack of 3D housing design instructional material that can satisfy the change. The purpose of this study is to develop BIM-based 3D modeling instruction material and apply to analyze effect on interest and task performance ability on Housing Design. The 3D modeling instruction material used in this study was developed through four stages of preparation, development, implementation and evaluation according to the PDIE model procedure. Also, the experimental design model for hypothesis testing was used nonequivalent control group pretest-posttest design. Based on the experimental design model, BIM-based 3D modeling instruction material was performed in the experimental group and 2D CAD-based standard instruction material was taught in the control group. Experimental treatment was conducted on the students of construction specialized vocatinonal high school, and applied to the subject of Professional Drafting in the 12 hours. Before and after the experimental treatment, the interest and task performance ability on Housing Design were tested. Based on the test results, we analyzed the effects of the 3D modeling instruction material through the independent samples t-test. The results of the study are as follows. First, BIM-based 3D modeling instruction material was developed of 'Housing Design & Drafting' unit on the subject of Professional Drafting in construction specialized vocational high school. Second, the application of 3D modeling instruction material has shown to be effective in improving students' interest. Third, the application of 3D modeling instruction material has shown to be effective in improving students' task performance ability on Housing Design.
Objectives : This study is aimed to help the dental hygiene department students to improve their adaptive ability to the field work by letting them know the performing levels required of the job world, by renovating the knowledge-centered curriculum, and by finding out the core competencies needed for successfully performing their duties and tasks in the work field. Methods : The survey tool was recomposed through the examination of the preceeding studies on basic vocational competencies and skills, and the survey has been done to 200 dentists in Seoul and Gyunggi provice. Results : 1. As for the job-getting routs, 35.1% of them finds their jobs through the job portal sites, and 21.3% through the recommendation by professors. So we can see the meaningful difference in the employment ways. 2. Dental hygiene clinics think that the purpose of their cooperation with the colleges is mainly to secure human resources by requiring the colleges to give field-centered education the colleges through. 3. The clinics for dental hygienic students' field learning have a great power for hiring the students. So it is necessary to set up a good management system of the clinics for dental hygienic students' field learning in order to reinforce the students' competitive power in getting jobs. 4. The priorities in basic working abilities needed for the task performance are in the order of vocational responsibility, self-managing & developing ability, interpersonal skill, and problem solving ability. 5. The core competencies required of those who graduate from dental hygiene school show the following scores by Likert measurement; good personality and vocational consciousness 2.16(${\pm}.677$), understanding power of major-related knowledge 2.19(${\pm}.723$), field adapting ability 2.31(${\pm}.748$), get-along-with ability 2.32(${\pm}.799$), interpersonal skill 2.42(${\pm}.768$), and self-development ability such as getting certificates 2.43(${\pm}.729$). Among the core competencies, the only meaningful factor which influences on their satisfaction measurement has been identified as the professional ability related to the major. Conclusions : The results suggest that the knowledge and skill related to the major are core competencies of able human resources and closely related with the professionality of the job, and so they are very important. However, job basic abilities are also proved to be important, which reinforce the students' activeness, self-regulation, and creativeness, and help them to pursue their lasting growth in their abilities.
It is not an easy task for forest managers to make sound decisions on forest management and operations planning because of huge sets of spatial and temporal data and complex decision-making processes involved. However, as an efficient tool, GIS techniques enable them to enhance broad understandings on forest inventory and management conditions. In this study, we developed a GIS model for field use in forest management. In building the model, we have chosen MapInfo version 4.0 as the basic engine of the model. The model also includes an interface module to help forest managers use MapInfo functions easily. It handles MapInfo functions required to manage inventory data and analyze spatial distributions of forest stands. For testing field applicability of the model, we have build field data sets for a district of Chunchun National Forest. Then, we tested functions through quarrying stand attributes and constructing thematic maps. In this paper, the structures and functions of the model as well as the results of field applications are discussed.
This study is a study that developed class materials that can apply Process-Focused Assessment to classes by paying attention to feedback using teacher learning community programs centered on teachers belonging to the same school in the field. In particular, this study was conducted with the aim of developing class materials applicable to actual classes. At this time, We thought about how to provide appropriate feedback when applying course-based evaluation in school field classes. It was conducted according to the procedure of data development research by Lee & Ahn(2021). As for the procedure of data development itself, an evaluation plan was established by establishing a strategy to reconstruct achievement standards and confirm understanding based on curriculum analysis. Next, an evaluation task, a scoring standard table, and a preliminary feedback preparation table were developed. In addition, based on these development materials, a learning guidance plan that can predict scenes when applying actual classes was developed as a result. This study has value as a practical study that can contribute to providing a link between theory and field schools. It is also meaningful in that it considered how the teacher would grasp when to provide feedback in performing rocess-Focused Assessment. Likewise, in providing feedback by teachers, it is meaningful in that it reflects in the data development how to prepare in advance and take classes according to the characteristics of the subject. Finally, it seems that the possibility of field application can be improved in that the results of the 4th class developed in this study are presented in a form applicable to the class directly in the field.
Proceedings of the Korean Institute Of Construction Engineering and Management
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2008.11a
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pp.278-281
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2008
As all industries field has changed very quickly, the field of construction faces in many changed. It is the representatively change that focus on the growth of quality level than increase of the quantity in construction. Whether the project successes or not is related to the survival of the company and it is necessity that we need performance measurement indicators to complete the project successfully. The domestic construction company considers overbearingly the cost-performance indicator in executing a project so far. It is rare of studies that suggest the methodology of more deeply measurement and analysis about the each project itself. The performance measured methodology based on Lean Construction is linked with the each project performance measurement methodology. This methodology uses three indicators such as the reliability, effectiveness and productivity at the sane their measuring whether each task is completed at the point of work. The measurement on the three performance indicators measure and evaluate whether the task is completed on the focus of construction duration. The research suggest the work plan reliability and weight of the performance measurement methodology based on the Lean Construction and the three considerately in the scope of measurement. If the suggestion is considered fully, we can indicate more objective and accurate construction project performance measurement indicators based on Lena Construction.
Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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2001.06a
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pp.1210-1210
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2001
On farm analysis of protein, moisture and oil in cereals and oil seeds is quickly being adopted by Australian farmers. The benefits of being able to measure protein and oil in grains and oil seeds are several : $\square$ Optimize crop payments $\square$ Monitor effects of fertilization $\square$ Blend on farm to meet market requirements $\square$ Off farm marketing - sell crop with load by load analysis However farmers are not NIR spectroscopists and the process of calibrating instruments has to the duty of the supplier. With the potential number of On Farm analyser being in the thousands, then the task of calibrating each instrument would be impossible, let alone the problems encountered with updating calibrations from season to season. As such, NIR technology Australia has developed a mechanism for \ulcorner\ulcorner\ulcorner their range of Cropscan 2000G NIR analysers so that a single calibration can be transferred from the master instrument to every slave instrument. Whole grain analysis has been developed over the last 10 years using Near Infrared Transmission through a sample of grain with a pathlength varying from 5-30mm. A continuous spectrum from 800-1100nm is the optimal wavelength coverage fro these applications and a grating based spectrophotometer has proven to provide the best means of producing this spectrum. The most important aspect of standardizing NIB instruments is to duplicate the spectral information. The task is to align spectrum from the slave instruments to the master instrument in terms of wavelength positioning and then to adjust the spectral response at each wavelength in order that the slave instruments mimic the master instrument. The Cropscan 2000G and 2000B Whole Grain Analyser use flat field spectrographs to produce a spectrum from 720-1100nm and a silicon photodiode array detector to collect the spectrum at approximately 10nm intervals. The concave holographic gratings used in the flat field spectrographs are produced by a process of photo lithography. As such each grating is an exact replica of the original. To align wavelengths in these instruments, NIR wheat sample scanned on the master and the slave instruments provides three check points in the spectrum to make a more exact alignment. Once the wavelengths are matched then many samples of wheat, approximately 10, exhibiting absorbances from 2 to 4.5 Abu, are scanned on the master and then on each slave. Using a simple linear regression technique, a slope and bias adjustment is made for each pixel of the detector. This process corrects the spectral response at each wavelength so that the slave instruments produce the same spectra as the master instrument. It is important to use as broad a range of absorbances in the samples so that a good slope and bias estimate can be calculated. These Slope and Bias (S'||'&'||'B) factors are then downloaded into the slave instruments. Calibrations developed on the master instrument can then be downloaded onto the slave instruments and perform similarly to the master instrument. The data shown in this paper illustrates the process of calculating these S'||'&'||'B factors and the transfer of calibrations for wheat, barley and sorghum between several instruments.
The objective of this study is to draw a guideline in developing a training program for sommeliers. To accomplish the objective, an exploratory study was conducted through field professionals and sommeliers between May and July in 2009 adopting the Dacum method. As a result, a sommelier is regarded as a professional who possesses vast knowledge in wine, food & beverage and outlet operation and offers assistance to a guest. Six distinctive areas of duties such as preparation of guest service, guest encounter service, outlet preparation, outlet management, wine purchasing and cellar management, self improvement were drawn in this study comprising 93 following tasks which explained job description of a sommelier. Guest service encompasses 13 tasks such as outlet maintenance and guest encounter service with 40 tasks such as encountering a guest. Outlet preparation contains 6 tasks such as outlet preparation while outlet management contains 13 tasks such as guest management. Wine purchasing and cellar management contains 6 tasks such as wine purchasing while self improvement contains 15 tasks such as understanding world's food and beverages. Outlet management was regarded as the most important and difficult area and wine purchasing and cellar management was regarded as the most frequent task from the study foundings.
In this study, we developed a tool for measuring user's emotions expressed while using a product in the natural and accessible environment for the design field. Also, using emotional word logging software VideoTAME, we measured a user's emotions expressed while using a product. In the testing module of VideoTAME, participants evaluate their emotional changes through playing and watching the video clips of their performing tasks in the experiment room. In the analyzing module, the researchers replay the results created by participants during the experiment and analyze the results using Microsoft Excel. In this research, we have asked users to examine their emotional changes while watching the recorded video clip of them in the experiment room performing a series of tasks using a cellular phone. In this experiment, there were no big differences in the representative emotions expressed for each characteristics of task. The reason for this can be assumed it is because of the emotional changes occurred while facing specific situations when performing a task rather than the task itself. If more data is collected and concrete statistical analysis is done, it is expected that we can clarify what effect a product's usability has on user's emotions.
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