• Journal of the Institute of Convergence Signal Processing
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• v.23 no.1
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• pp.44-49
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• 2022

Abstract Recently, with the development of IoT technology and communication media, various video equipment is being used in industrial fields. Image data acquired from cameras and sensors are easily affected by noise during transmission and reception, and noise removal is essential as it greatly affects system reliability. In this paper, we propose a weight filter algorithm based on the pixel value distribution pattern to preserve details in the process of restoring images damaged in AWGN. The proposed algorithm calculates weights according to the pixel value distribution pattern of the image and restores the image by applying a filtering mask. In order to analyze the noise removal performance of the proposed algorithm, it was simulated using enlarged image and PSNR compared to the existing method. The proposed algorithm preserves important characteristics of the image and shows the performance of efficiently removing noise compared to the existing method.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.289-296
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• 2022

The purpose of this study was to examine the students' responses and self-understanding in the liberal arts and personality class, one of the compulsory liberal arts subjects at S University. The results of the study are as follows. First, the degree of influence on students' positive change in this class was higher than normal using a five-step Likert scale. In particular, as a result of the film discussion conducted by the researcher, satisfaction was very high. Second, as a result of picture test analysis, changes in coping ability through stress and resource scales were seen in the students, and it was an opportunity for students to understand themselves by looking into their minds. This study presented example of classes that can cultivate students' personality through literature, art, and video, and cultivate their qualities as global citizens, such as responsibility, leadership, cooperation, consideration, communication, and empathy, through discussion.

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.1-12
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• 2022

As the performance of Unmanned Aerial Vehicles (UAVs) are improving and the prices are lowering, it is expected that the use of UAVs will continuously grow in the future. It is important to always maintain control signal and video communication to operate remote UAVs stably, especially in military UAV operations, as unexpected jamming attacks can result in fatal UAV crashes. In this paper, to improve the network reliability and low latency when supporting UAV operations, the anti-jamming performance of Second generation Anti-jam Tactical UHF Radio for NATO (SATURN) networks is analyzed and enhanced by applying Forward Error Correction (FEC) and Minimum Shift Keying (MSK) modulation as well as Hamming code based multiple transmission techniques.

• Journal of Industrial Convergence
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• v.20 no.1
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• pp.63-68
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• 2022

In schools and corporate buildings, public WiFi Access Points are installed on the ceilings of hallways. In the case of an architectural structure in which a WiFi signal enters through a steel door made of a material with high signal attenuation, Internet connection is frequently cut off or fails when the door is closed. To solve this problem, our research implements an economical and portable WiFi extender using a Raspberry Pi and an auxiliary battery. Commercially available WiFi extenders have limitations in the location where the power plug is located, and WiFi extension using the WiFi hotspot function of an Android smartphone is possible only in some high-end models. However, because the proposed device can be installed at the position where the Wi-Fi reception signal is the best inside the door, the WiFi range can be extended while minimizing the possibility of damage to the original signal. Experimental results show that it is possible to eliminate the shadows of radio waves and to provide Internet services in the office when the door is closed, to the extent that web browsing and real-time video streaming for 720p are possible.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.292-309
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• 2022

Recently, with the development of interactive communication system, demands for video live streaming service has increased. Live streamers generate revenues from donations, but existing laws are inadequate to handle these donations. Problems arise when minors donate because they have the right of revocation. In the case of donations that request benefits in return, legal characteristics and results are different from unilateral donations. If minors exercise their right of revocation, live streamers must pay back without getting proper compensation for their services. In this paper, we detect the characteristics of bilateral contract in live streaming donation, indicate the harms that live streamers can get, examine precedents and donation processes focusing on cases when minors can not exercise the right of revocation due to deception, and propose revisions that can protect the streamers without invading minors' rights. Through academically identifying ambiguous legal situations and presenting dispute prevention procedures, this paper can bring positive impacts on the online industry.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.99-115
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• 2022

The purpose of this study is to explore the benefits of social capital obtained through the use of social media from the perspective of fashion. The study conducted in-depth interviews with 10 women in their 20s who utilized Instagram and YouTube for fashion-related activities. The results show that bonding social capital was related to Instagram and led increasingly to narrow and deep relationships with acquaintances who had already established offline relationships. The study also finds that informational benefit was derived from people who use Instagram image information for smart fashion consumption; in addition, positive feedback on their posts brought the emotional benefit of psychological satisfaction. On the other hand, bridge social capital developed from YouTube users and subscribers. The study discovers that YouTuber public communication or the exchange of opinions leads to an increase in bridge social capital, which is a wide and shallow relationship. Video-based YouTube brought informational benefits as a specific product description, and there were emotional benefits in terms of entertainment while watching videos that combined fashion and entertainment. This report sheds light on individual fashion activities on social media, which is discussed from the perspective of social capital.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1441-1446
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• 2022

Modern people can access various information about food recipes very easily on the Internet or social media. As the supply of food recipes increases, it is difficult to find a suitable recipe for each user in the overflowing information. As such, the need to provide information by reflecting users' requirements has increased, and research related to food recipes and cooking recommendations is becoming active. In addition, the Internet, video, and application markets using this are also rapidly activating. In this study, in order to classify recipes from the user's perspective of food recipe users, the user's review data was applied with the k-mean clustering technique, which is unsupervised learning, and a "food recipe classification model" was derived. As a result, it was classified into a total of 25 clusters including information needed by many users, such as specific purposes and cooking stages.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1637-1643
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• 2022

In recent years, the demand for image-processing technology in digital marketing has increased due to the expansion and diversification of the digital market, such as video, security, and machine intelligence. Noise-processing is essential for image-correction and reconstruction, especially in the case of sensitive noises, such as in CT, MRI, X-ray, and scanners. The two main salt and pepper noises have been actively studied, but the details and edges are still unsatisfactory and tend to blur when there is a lot of noise. Therefore, this paper proposes an algorithm that applies a weight-based Euclidean distance equation to the partial mask and uses only the non-noisy pixels that are the most similar to the original as effective pixels. The proposed algorithm determines the type of filter based on the state of the internal pixels of the designed partial mask and the degree of mask deterioration, which results in superior noise cancellation even in highly damaged environments.

• Human Ecology Research
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• v.60 no.2
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• pp.187-209
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• 2022

The objective of this study was to conduct a 'Theory of Home Economics Education' class using online problem-based learning(PBL) for prospective home economics(HE) teachers. The aim was to enable teachers to analyze the learning experience in the classroom, and to prepare operational strategies for online PBL on this basis. In order to achieve this, online PBL was applied to 31 students participating in the 'Theory of Home Economics Education' at the Department of HE in a university in Seoul, and the results were collected from the learning process. This also involved a reflective journal, a survey on the learning experience and the impacts was conducted. Moreover, analysis was undertaken on the learning activities, learning difficulties, and improvements. The main research results are as follows. Firstly, students accessed Webex, an online video conferencing program, and performed two PBL tasks: 'Making Home Economics Promotion Materials' and 'Presenting Teaching Strategies to Improve Learner's Immersion in Online Classes'. Secondly, learners established their own identity of HE learned about the HE class plans themselves. They also encountered realistic experience as HE teachers and learned communication and collaboration skills. Furthermore, they acquired creative problem-solving and self-directed learning ability, community consciousness, as well as the attitude of consideration and respect. Thirdly, students lacked knowledge of learning content and encountered difficulty in solving data research, analysis processes, and unstructured problems. They were affected by a lack of time and encountered problem in communicating with other team members in an online environment. As an improvement in online class operation, it was considrered necessary to reduce the learning burden by securing time and reducing the number of assignments, as well as to explain active interaction with instructors and PBL.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.656-661
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• 2022

Password with a combination of 4-digit numbers has been widely adopted for various authentication systems (such as credit card authentication, digital door lock systems and so on). However, this system could not be safe because the 4-digit password can easily be stolen by predicting it from the fingermarks on the keypad or display screen. Furthermore, due to the prolonged COVID-19 pandemic, contactless method has been preferred over contact method in authentication. This paper suggests a new password input method based on eyeblink pattern analysis in video sequence. In the proposed method, when someone stands in front of a camera, the sequence of eyeblink motions is captured (according to counting signal from 0 to 9 or 9 to 0), analyzed and encoded, producing the desired 4-digit decimal numbers. One does not need to touch something like keypad or perform an exaggerated action, which can become a very important clue for intruders to predict the password.