• Journal of Industrial Convergence
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• v.17 no.1
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• pp.1-6
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• 2019

Various cryptographic technologies have been proposed from ancient times and are developing in various ways to ensure the confidentiality of information. Due to exponentially increasing computer power, the encryption key is gradually increasing for security. Technology are being developed; however, security is guaranteed only in a short period of time. With the advent of the 4th Industrial Revolution, encryption technology is required in various fields. Recently, encryption technology using homomorphic encryption has attracted attention. Security threats arise due to the exposure of keys and plain texts used in the decryption processing for the operation of encrypted information. The homomorphic encryption can compute the data of the cipher text and secure process the information without exposing the plain text. When using the homomorphic encryption in processing big data like stored personal information in various services, security threats can be avoided because there is no exposure to key usage and decrypted information.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.10
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• pp.923-934
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• 2019

This study investigates correlations between the impacts of urban and building form and microclimate on the energy consumption of buildings. It applies microscopic elements such as urban form, building form and character, and microclimate as factors in the energy consumption of buildings. To this end, the energy consumption of selected buildings in Seoul in August of 2017 was analyzed. Based on microscopic elements within a radius of 500 meters of 23 Automated Weather Station (AWS) measurement points selected by the Meteorological Office of the City of Seoul. With the exception of a few elements, the urban form and character elements demonstrate a significant relation to the energy consumption of buildings. It is also found that microclimate elements such as wind speed and humidity are pertinent to the energy consumption of buildings. It is helpful in that it suggests results for establishing more effective policies and strategies for enhancing the sustainability and resilience of cities.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.279-285
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• 2021

The materials, parts, and equipment industries are the backbone of the manufacturing industry and a key element of competitiveness. However, in the case of Korea, as it relies on foreign countries for core materials, parts, and equipment, it is in danger of not only industrial competitiveness, but also security. This study first looked at the outline and current address of the materials, parts, and equipment industries, identified problems and improvements, and examined the efforts and achievements so far for the localization of materials, parts, and equipment in Korea. In addition, after looking at the improvement measures for the government's material, parts, and equipment industry at the institutional level or at the ecological level, the current status and actual condition of localization of local materials, parts and equipment were investigated, and problems and improvements were analyzed. Lastly, this study presented a technology development plan for localization of parts and materials in the region and various institutional improvement plans related to commercialization.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.126-132
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• 2022

At present, due to the rapid spread of smartphones and activation of IoT, malicious codes are disseminated using SNS, or intelligent intrusions such as intelligent APT and ransomware are in progress. The damage caused by the intelligent intrusion is also becoming more consequential, threatening, and emergent than the previous intrusion. Therefore, in this paper, we propose an intelligent intrusion situation-aware reasoning system to detect transgression behavior made by such intelligent malicious code. The proposed system was used to detect and respond to various intelligent intrusions at an early stage. The anticipated system is composed of an event monitor, event manager, situation manager, response manager, and database, and through close interaction between each component, it identifies the previously recognized intrusive behavior and learns about the new invasive activities. It was detected through the function to improve the performance of the inference device. In addition, it was found that the proposed system detects and responds to intelligent intrusions through the state of detecting ransomware, which is an intelligent intrusion type.

• Journal of the Korean Society of Marine Environment & Safety
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• v.28 no.4
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• pp.469-476
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• 2022

This study developed a Recurrent Neural Network model implemented through Long Short-Term Memory (LSTM) that generates long-term tidal level data at Busan Port using tide observation data. The tide levels in Busan Port were predicted by the Korea Hydrographic and Oceanographic Administration (KHOA) using the tide data observed at Busan New Port and Tongyeong as model input data. The model was trained for one month in January 2019, and subsequently, the accuracy was calculated for one year from February 2019 to January 2020. The constructed model showed the highest performance with a correlation coefficient of 0.997 and a root mean squared error of 2.69 cm when the tide time series of Busan New Port and Tongyeong were inputted together. The study's finding reveal that long-term tidal level data prediction of an arbitrary port is possible using the deep learning recurrent neural network model.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.43-51
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• 2022

The purpose of this study is to provide basic information necessary for the establishment of mobile service marketing strategies, educational service development, and engineering education for Generation Z by analyzing the utilitization of various applications by Gen Z. To this end, 177 essays on mobile service usage experience were collected, major topics were analyzed using topic modeling, and these were visualized through word cloud analysis. As a result of the study, the main topics were related to 'transportation' such as movement and public transportation, 'personal management' such as schedule management, financial management, food management, 'transaction' such as checkout, meeting, purchase, 'leisure' such as eating out, travel, study, culture. Additionally, words such as time, thought, people, life, bus, information, confirmation, payment, KakaoTalk, and so on were found to have a high of frequency of use. Also, there was found to be a difference between topics by college. This study is meaningful in that it collected essays, which are unstructured data, and analyzed them through topic modeling.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.151-158
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• 2017

This study explored the development and utilization strategies based on the recognition of Massive Open Online Courses(MOOC) of students and professors who are the subjects of university teaching and learning. All members of the university recognized the basic concepts of MOOC as openness, sharing, and participation positively. In the understanding and recognition level of MOOC, undergraduate and graduate students were very low but professors were relatively high. They wanted the MOOC to develop courses in the humanities, natural sciences, social sciences, technology engineering and the arts and sciences, aiming at innovation in college curricula and diffusion of unique contents. The undergraduates wanted MOOC to be able to complete the liberal arts curriculum, basic learning in other areas and extra-curriculum and the graduate students who were lifelong learners wanted MOOC to be developed and utilized for strengthening lifelong education of local citizens. Professors who are providers of high quality education and lifelong learners wanted MOOC to be used for the deepening of their major courses in order to innovate the university education and to spread unique contents. The university should support the development of various MOOCs, establish the completion system, and provide advanced and high quality online education service.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.49-60
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• 2017

This study is an overview of the processing of national defense reform in the meantime and to analyze the development of alternative processes are conducted in all the service system operating status of the military regime aims at prese-nting the efficient utilization of natural science and engineering professionals. The purpose of this study was to discuss about the efficient utilization of science and engineering professionals according to the Defense Reform organized as follows. Chapter 2 looked into the concept of conscription system and cause for change, Chapter 3 analyzed utilization of science and engineering professionals and the practices related to engineering and professional workforce. Chapter 4 took to understand the military system improvement based on the derived implications will be presented the role of the relevant ministries. Chapter 5 Conclusion would present a summary of the results discussed above and deploy the argument in the direction. The study conclusions are First, the need to develop alternative military service system in the desired direction to derive a social consensus about the survival of the Selective Service System Status. Second, to establish a provisional Armed Forces to train science and engineering professionals with superior officers and noncom missioned officers and they should be able to contribute to the develop-ment of an individual's development and the national economy. In particular, legal and trial and error and failures of the system was carried out in the past in the process of seeking the required institutional improvements should not make the error to repeat.

• Journal of Korea Water Resources Association
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• v.42 no.6
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• pp.493-503
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• 2009

Estimation of the mean-field bias of radar rainfall is to determine the difference between the areal means of radar and rain gauge rainfall, where the rain gauge rainfall is assumed to be the truth. To exactly determine this bias, the variance of the difference between two observations must be small enough, thus, enough number of observations is indispensible. So, the problem becomes to determine the number of rain gauges to satisfy the level of variance of the difference between two observations. Especially, this study focuses on the case when the rain gauges are disproportionate spatially. This is the problem for the Ganghwa rain radar for the observation of rainfall within the Imjin river basin and the same problem also occurs when a radar is located in between land and ocean. This study considered the Imjin river basin, and compared two cases when rain gauges are available only within the downstream part, about one third of the whole basin, and over the whole basin. Based on the results derived, the rain gauge density within the downstream part of the Imjin river basin was proposed to secure the same accuracy obtained when the rain gauges are available over the whole Imjin river basin.