• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.135-141
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• 2017

Exposed to a great many media and technology resources, EFL students seem to lack the motivations for learning on the basis of the conventional teaching methods. For this reason, in teaching English, finding teaching methods and materials appropriate to make the learning experiences for EFL students more engaging and interesting has become more challenging than ever. This is the main reason why English language teachers always keep searching for more motivating teaching sources. Although most of course books have CD's and DVD enclosed, these turn out to be less authentic and not very engaging for students. In order to bring diversity into the classroom, many teachers use films in EFL teaching. Films are usually seen as a media that attracts students' attention and tend to present language in a more natural (interactive) way as well. What is more important is that films offer a visual context aids which help students understand and improve their reading skills. This paper analyzes the effects of using films in the EFL classroom. Moreover, It shows that films as a teaching resource play a very effective role in developing students reading and communication skill. Last but not least, mobile phones are used as a main supplementary device in that either group is recommended to watch a movie anytime and anywhere.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.356-362
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• 1999

DECT(Digital Enhanced Cordless Telecommunications) is the communication protocol and the pico-cellular network that provides a PABX with mobile services on the local area within its cell radius of about 100 to 200m. Compared with GSM, DECT provides low-cost communication services based on the PSTN and it is an ideal supplementary method for the type of in-building mobile communication. In this paper we presented the implementation methods and techniques of the DECT data link communication layer that provided reliable communication services to the upper network layer by performing the functions of link controls, error controls, sequence controls, and flow controls.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.129-139
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• 1999

DECT(Digital Enhanced Cordless Telecommunications) is the communication protocol and the pico-cellular network that provides a PABX with mobile services on the local area within its cell radius of about 100 to 200m. Compared with GSM, DECT provides low-cost communication services based on the PSTN and it is an ideal supplementary method for the type of in-building mobile communication. In order to implement the data link communication layer of the DECT system, in this paper we analyzed and designed the structures and functions of it that provided reliable communication and real-time services to the upper network layer by performing the functions of link controls, error controls, sequence controls, and flow controls.

• Journal of the Korean Society for Library and Information Science
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• v.43 no.3
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• pp.379-397
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• 2009

The purpose of this study is to analyze the development and features of the abridged DDC (Dewey Decimal Classification), one of the main factors for DDC's success. For the study, a comparison table including the publication years and the physical features has been presented based on the general relationship between the full edited DDC and the abridged DDC. In addition, the contents and features have been analyzed from the first to the latest (14th) edition. Lastly, the time of introduction of four supplementary tables used in the abridged DDC and its development have been investigated.

• Journal of Information Processing Systems
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• v.14 no.6
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• pp.1508-1520
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• 2018

In this paper, we propose an improved model to provide users with a better long-term prediction of waterworks operation data. The existing prediction models have been studied in various types of models such as multiple linear regression model while considering time, days and seasonal characteristics. But the existing model shows the rate of prediction for demand fluctuation and long-term prediction is insufficient. Particularly in the deep running model, the long-short-term memory (LSTM) model has been applied to predict data of water purification plant because its time series prediction is highly reliable. However, it is necessary to reflect the correlation among various related factors, and a supplementary model is needed to improve the long-term predictability. In this paper, convolutional neural network (CNN) model is introduced to select various input variables that have a necessary correlation and to improve long term prediction rate, thus increasing the prediction rate through the LSTM predictive value and the combined structure. In addition, a multiple linear regression model is applied to compile the predicted data of CNN and LSTM, which then confirms the data as the final predicted outcome.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.347-357
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• 2019

Purpose: The purpose of this paper is to present a method for effectively conducting discussion-based training in disaster response safety training. Method: To this end, we analyzed the disaster response training of developed countries and suggested the training scenarios by applying the war-game process that is currently applied in the operation planning of our military. Result: In one disaster situation, several contingencies could be identified, and supplementary requirements for the manual could be derived. Conclusion: Therefore, in conclusion, if the military war-game process is applied to the discussion-based training in disaster response safety training, effective training can be carried out.

• Smart Media Journal
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• v.11 no.8
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• pp.84-92
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• 2022

Precision livestock monitoring promises greater management efficiency for farmers and higher welfare standards for animals. Recent studies on video-based animal activity recognition and tracking have shown promising solutions for understanding animal behavior. To achieve that, surveillance cameras are installed diagonally above the barn in a typical cattle farm setup to monitor animals constantly. Under these circumstances, tracking individuals requires addressing challenges such as occlusion and visual appearance, which are the main reasons for track breakage and increased misidentification of animals. This paper presents a framework for multi-cattle tracking in closed barns with appearance and motion models. To overcome the above challenges, we modify the DeepSORT algorithm to achieve higher tracking accuracy by three contributions. First, we reduce the weight of appearance information. Second, we use an Ensemble Kalman Filter to predict the random motion information of cattle. Third, we propose a supplementary matching algorithm that compares the absolute cattle position in the barn to reassign lost tracks. The main idea of the matching algorithm assumes that the number of cattle is fixed in the barn, so the edge of the barn is where new trajectories are most likely to emerge. Experimental results are performed on our dataset collected on two cattle farms. Our algorithm achieves 70.37%, 77.39%, and 81.74% performance on HOTA, AssA, and IDF1, representing an improvement of 1.53%, 4.17%, and 0.96%, respectively, compared to the original method.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.191-200
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• 2023

The U.S. education policy making and execution process, in which residents can directly participate as members of state or local boards of education, without entrusting a small number of experts to decide on issues of sharply intertwined political interests, can be presumed that it played a role in preventing conflicts and disputes that may arise due to differences of opinion or differences in the interpretation of laws and regulations between subjects. Such a consensus system in the United States suggests a supplementary point to the local education administration system in Korea, where conflicts between various educational entities are occurring because of the current excessive dependence on one superintendent of education.

• Journal of the Korean Society for information Management
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• v.40 no.1
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• pp.95-119
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• 2023

Public institutions defining the legal scope of records management are a prerequisite to ensure the accountability and public's right to know. In this study, the requirements essential for determining the legal scope of the concept of public records were identified. For this, the concept of policies and the scope of public records which were prescribed by current laws such as the Public Records Management Act, Electronic Government Act, and Framework Act on Electronic Documents and Transactions were analyzed by this study. Furthermore, by examining both domestic and foreign cases on the legal competence of evidence of digitized records, institutional supplementary points were proposed.

• The KIPS Transactions:PartA
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• v.12A no.5 s.95
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• pp.461-470
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• 2005

In leaner-controlled environment where learners can decide and restructure the contents, methods and order of learning by themselves, it is possible to apply individualized learning in consideration of each learner's characteristics. The present study analyzed learners' learning path pattern, which is one of learners' characteristics important in Web-based teaching-learning process, using the Apriori algorithm and grouped learners according to their learning path pattern. Based on the result, we designed and implemented a multi-dimensional learning path pattern analysis system to provide individual learners with teaming paths, learning contents, learning media, supplementary teaming contents, the pattern of material presentation, etc. multi-dimensionally. According to the result of surveying satisfaction with the developed system satisfaction with supplementary learning contents was highest (Highly satisfied '$24.5\%$, Satisfied'$35.7\%$). By learners' level, satisfaction was higher in low-level learners (Highly satisfied'$20.2\%$, Satisfied'$31.2\%$) than in high-level learners (Highly satisfied'$18.4\%$, 'Satisfied'$28.54\%$). The developed system is expected to provide learners with multi-dimensionally meaningful information from various angles using OLAP technologies such as drill-up and drill-down.