• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.356-367
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• 2021

With the recent development of IoT and artificial intelligence technology, research and applications for optimization of real-world problems by collecting and analyzing data in real-time have increased in various fields such as manufacturing and smart city. Representatively, the digital twin platform that supports real-time synchronization in both directions with the virtual world digitized from the real world has been drawing attention. In this paper, we define a digital twin concept and propose a digital twin platform prototype that links real objects and predicted results from the virtual world in real-time by utilizing the oneM2M-based IoT platform. In addition, we implement an application that can predict accidents from object collisions in advance with the prototype. By performing predefined test cases, we present that the proposed digital twin platform could predict the crane's motion in advance, detect the collision risk, perform optimal controls, and that it can be applied in the real environment.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.738-747
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• 2021

Today, with the improvement of deep learning technology, computer vision areas such as image classification, object detection, object segmentation, and object tracking have shown remarkable improvements. Various applications such as intelligent surveillance, robots, Internet of Things, and autonomous vehicles in combination with deep learning technology are being applied to actual industries. Accordingly, the requirement of an efficient compression method for video data is necessary for machine consumption as well as for human consumption. In this paper, we propose an object-based compression of thermal infrared images for machine vision. The input image is divided into object and background parts based on the object detection results to achieve efficient image compression and high neural network performance. The separated images are encoded in different compression ratios. The experimental result shows that the proposed method has superior compression efficiency with a maximum BD-rate value of -19.83% to the whole image compression done with VVC.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.949-955
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• 2022

Deep learning-based text summarization models are not free from datasets. For example, a summarization model trained with a news summarization dataset is not good at summarizing other types of texts such as internet posts and papers. In this study, we define this phenomenon as Data Bias Problem (DBP) and propose two training methods for solving it. The first is the 'proper nouns masking' that masks proper nouns. The second is the 'length variation' that randomly inflates or deflates the length of text. As a result, experiments show that our methods are efficient for solving DBP. In addition, we analyze the results of the experiments and present future development directions. Our contributions are as follows: (1) We discovered DBP and defined it for the first time. (2) We proposed two efficient training methods and conducted actual experiments. (3) Our methods can be applied to all summarization models and are easy to implement, so highly practical.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.203-212
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• 2022

In this paper, we propose to identify the factors and satisfaction of the selection of University and departments of One university freshmen. Research subjects were 499 freshmen in 2021 at K University located in G city. The data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe' test and pearson's correlation coefficient using SPSS WIN 18.0. The results of this study showed that the internet/SNS was the highest in university information media, the school teacher was the highest in information provider, and the employment rate had the most impact on university registration decision. The University satisfaction score was 3.43, and there was a significant difference in gender(t=5.527, p=.019) and admission type(F=5.527, p<.001). The department satisfaction was 3.86 and there was a significant difference in the admissions type(F=3.004, p=.018). Univdrsity satisfaction and Department satisfaction showed a significant positive correlation(r=5.527, p<.001). Universities should improve their competitiveness through systematic admission information system.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.353-357
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• 2022

This article identifies the problems and substantiates the directions for the development of distance learning technologies in the training of personnel. An example of using digital media to create a remote access laboratory is given. The article is devoted to the definition of the main aspects of the organization of distance education. Rapid digitization, economic, political and social changes taking place in Ukraine necessitate the reform of the education system. First of all, it concerns meeting the educational needs of citizens throughout their lives, providing access to educational and professional training for all who have the necessary abilities and adequate training. The most effective solution to the above-mentioned problems is facilitated by distance learning. The article analyzes the essence and methods of distance learning organization, reveals the features of the use of electronic platforms for the organization of this form of education in different countries of the world. The positive characteristics of distance learning are identified, namely: extraterritoriality; savings on transport costs; the interest of modern youth in the use of information tools in everyday life; increase in the number of students; simplicity and accessibility of training; convenient consultation system; democratic relations between the student and the teacher; convenience for organizations in training their employees without interrupting their regular work; low level of payment for distance education compared to traditional education; individual learning pace; new teacher status. Among the negative features of online education, the author refers to the following problems: authentication of users during knowledge verification, calculation of the teacher's methodological load and copyright of educational materials; the high labor intensity of developing high-quality educational content and the high cost of distance learning equipment; the need to provide users with a personal computer and access to the Internet; the need to find and use effective motivation mechanisms for education seekers.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.113-121
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• 2009

The increasing interest in leisure activities of a five-day work per week has been recently prevailed. Additionally, as internet and mobile infrastructures have been becoming widespread, the user can get specific information using a search engine. However, it is difficult for the user to get accurate information they really want as shared information has been rapidly increased and the information has been searched. For example, users can retrieve required travel information, but they also must see a huge number of travel advertisements. In this paper, we design and implement a retrieval system using travel information collecting agent. The information gathering agent regularly visits travel-related category pages of the portal sites and major media travel-article pages to collect information related to travel, and the agent stores the gathered information to a database. Then, users can search the travel information conveniently without the need to view advertisements.

• Journal of the Korean Society of Food Culture
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• v.24 no.6
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• pp.762-769
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• 2009

In this investigation, 480 high school students attending school in Seoul, Incheon were surveyed for their knowledge of seaweed and their preference of seaweed products provided during school meal service. Female students answered that they preferred seaweed more than male students. When asked to explain their preference for seaweed, most students who preferred seaweed responded 'it is tasty' (82.9%), while those that did not like seaweed responded 'I don't like the texture when chewing it and it is not tasty' (47.8%). Most students reported that they usually eat 'laver', and the number of times that they at seaweed was '3-4 times a week'. The primary place in which they ate seaweed and the place where they feel it had the best taste was a 'house'. The primary source of information regarding seaweed was mass media including TV, newspapers, magazines and the internet (48.8%). With regard to seaweed in school meals, which is offered twice a week, most students reported, 'I eat seaweed and leave it to some extent.' They perceived 'laver' to be most often provided in school meals, and 57.7% reported that their favorite seaweed meal was 'laver'. When asked why they dislike seaweed in school meals, the most common responses were 'I didn't like seaweed the first time I tried it' (27%) and 'Its taste is different from what I eat at home' (24.6%). The most common request regarding seaweed provided in school lunches was for the taste to be improved (48.2%). Evaluation of the preference for seaweed menus in school meals revealed that both males and females had higher preferences of more than 4 points for 'fried laver' and 'broiled laver'.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.5
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• pp.801-811
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• 2023

With the cyber incidents increasing every year, opinions are being raised that legal system relating to incident reporting needs to be revised to improve the cyber incident reporting rate, etc. Accordingly, this paper suggests a legal improvement to enhance the effectiveness of cyber incident reporting. First, by analyzing domestic media coverage, this paper defines the problems which need to be improved regarding an incident reporting system as "unreported" and "not timely reporting". Then, this paper finds four requirements for legal improvement like "a reporting entity", "a starting point of reporting", "a reporting deadline" and "a protection of reporting information" by analyzing the relationship between reporting relating problems and issues published by overseas institutions and additionally by analyzing the need to revise the law. Finally, through an analysis of legislative cases, this paper suggests a legal improvement for the requirements.

• Journal of radiological science and technology
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• v.47 no.2
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• pp.79-86
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• 2024

This study was to conducted on the general public living in the Busan area to determine their knowledge and awareness of radiation. A questionnaire written in Google Form was distributed, and 193 questionnaires were analyzed. Independent samples t-test and one-way ANOVA were conducted to verify differences in variables according to the characteristics of the study subjects. Correlation analysis was conducted to determine the relationship between variables. Multiple linear regression analysis was conducted to confirm the correlation between variables. As a result of the study, firstly, The knowledge and awareness of radiation and confidence level of radiological information were found to be high among men and unmarried group. Second, as a result of analysis according to occupation, it was found that students had a positive perception of radiation. Third, the Internet and TV are the most commonly used channels for obtaining information about radiation. Lastly, the thing that has the greatest impact on the awareness of radiation is the reliability of the obtained radiation information. In order to relieve excessive anxiety about radiation and to gain a proper understanding of radiation, the reliability of information about radiation is important. Therefore, it is believed that active efforts are needed to provide accurate information about radiation by utilizing media that are widely used by citizens.