• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.20-26
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• 2021

In this paper, we studied the rotation angle estimation methods required for image alignment in an image recognition environment. In particular, a rotation angle estimation method applicable to a low specification embedded-based environment was proposed and compared with the existing method using complex moment. The proposed method estimates the rotation angle through similarity mathcing of the 1D projection profile along the radial axis after converting an image into polar coordinates. In addition, it is also possible to select a method of using vector sum of the projection profile, which more simplifies the calculation. Through experiments conducted on binary pattern images and gray-scale images, it was shown that the estimation error of the proposed method is not significantly different from that of complex moment-based method and requires less computation and system resources. For future expansion, a study on how to match the rotation center in gray-scale images will be needed.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.28-34
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• 2021

In the case of object detection using deep learning, both accuracy and real-time are required. However, it is difficult to use a deep learning model that processes a large amount of data in a limited resource environment. To solve this problem, this paper proposes an object detection model for small embedded devices. Unlike the general detection model, the model size was minimized by using a structure in which the pre-trained feature extractor was removed. The structure of the model was designed by repeatedly stacking lightweight convolution blocks. In addition, the number of region proposals is greatly reduced to reduce detection overhead. The proposed model was trained and evaluated using the public dataset PASCAL VOC. For quantitative evaluation of the model, detection performance was measured with average precision used in the detection field. And the detection speed was measured in a Raspberry Pi similar to an actual embedded device. Through the experiment, we achieved improved accuracy and faster reasoning speed compared to the existing detection method.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.138-143
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• 2021

As of this moment, we are tracing people who are closed contact with Covid-19 patients and trying to block the spread of Covid-19 through diagnostic tests. However, the incubation period of the confirmed case is two weeks, and it takes a lot of human resources, time, and money to trace the routes of the confirmed case. In particular, as the number of confirmed cases have been increasing, the cost for finding closed contacts and blocking them in advance exponentially have almost reached the limitation of the budget. In finding closed contacts, all citizens must record an electronic access list every time they visit an amenities such as a store or a restaurant. This is likely the invasion of the privacy of personal location information. In this study, we designed a system that keeps one's location in real time, it will download the movement information of the confirmed case which is collected by KDCA, and it will notify the user when there is an overlap. Moreover, then guide for diagnostic test in advance will be used. The proposed method can solve the difficulty of recording in an electronic access list when visiting a store, and it can block infringement of privacy without providing personal information from KDCA.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.36-44
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• 2021

Estimation on SW Sizing applied to fintech is very difficult, a task requiring long time, it is difficult for client companies and developer companies to accurately calculate the size of software development. The size is generally estimated based on the experience of project managers and the general functional scoring method. In this paper, propose a model that can be applied to fintech development projects by quantitatively calculating the required functions from the user's point of view, measuring the scale, and calculating the scale in real time. Through the proposed model, the amount of work can be estimated prior to development and the size can be measured, and the M/M and the estimated quotation amount can be calculated based on the program list by each layer. In future studies, by securing size computation data on existing the Fintech Project in mass, research on accurate size computation would be required.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.10-19
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• 2021

In this paper, we tried to derive characteristic parameters that reflect mental fatigue through EEG measurement and analysis. For this purpose, mental fatigue was induced through a resting state with eyes closed and performing subtraction operations in mental arithmetic for 30 minutes. Five subjects participated in the experiment, and all subjects were right-handed male students in university, with an average age of 25.5 years. Spectral analysis was performed on the EEG collected at the beginning and the end of the experiment to derive feature parameters reflecting mental fatigue. As a result of the analysis, the absolute power of the alpha band in the occipital lobe and the temporal lobe increased as the mental fatigue increased, while the relative power decreased. Also, the difference in power between resting state and task state showed that the relative power was larger than the absolute power. These results indicate that alpha relative power in the occipital lobe and temporal lobe is a feature parameter reflecting mental fatigue. The results of this study can be utilized as feature parameters for the development of an automated system for mental fatigue determination such as fatigue and drowsiness while driving.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.312-326
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• 2021

Building on the framework of language socialization [10] in language learning and use, the present study examines the environmental factors involved in four college students' English learning in the situated place of the home during the COVID-19 pandemic. Using narrative inquiry, this study implements a time-series analysis to investigate undergraduates' online English learning in a rural area of northwest China. The data were collected via oral and written narration, semi-structured interviews, and class documents. Leveraging the field-habitus theories, the findings reveal that each of the students had a different habitus in the family field that influenced their English learning at home between March to July of 2020. Ultimately, all four students felt that their habitus made their online English learning ineffective and expressed that they did not wish to continue learning at home. The findings imply that it is important for rural parents to pay more attention to building college students' learning environments and helping students cultivate a strong learning habitus in the family field in northwest China.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.195-203
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• 2021

This is descriptive research aimed at determining the relations with appearance satisfaction and self-efficacy in controlling job-seeking stress and at providing basic data necessary to decide on an education direction for better career maturity and explore psychological resources. For data collection, convenience sampling was performed among dental hygiene students consenting to participate in the research in Chungcheong and Jeolla Provinces to complete a self-administered questionnaire from November 25 to December 13, 2019. Appearance satisfaction was positively correlated with self-efficacy and was negatively correlated with job-seeking stress; self-efficacy was negatively correlated with job-seeking stress. The factors affecting job-seeking stress were self-efficacy, appearance satisfaction, and major satisfaction. It would be necessary to develop a practical counseling program targeting the combination of positive appearance acceptance and improvement in self-efficacy on the basis of correct aesthetic values with the objective of reinforcing job-seeking competence intensively among dental hygiene majors.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.29-35
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• 2021

Since a sufficient condition on the larger rate volume of 3-user correlated information sources (CIS)/non-successive interference cancellation (SIC) non-orthogonal multiple access (NOMA) over independent information sources (IIS)/SIC NOMA has not been investigated, this paper analyzes such a sufficient condition. First, we demonstrates that the rate volume of 3-user CIS/SIC NOMA is the same as a portion of the rate volume of 3-user IIS/SIC NOMA. Then, by identifying a dominant rate region, we calculate the sufficient condition on the larger rate volume of 3-user CIS/non-SIC NOMA over 3-user IIS/SIC NOMA. We also show that with such condition, the rate volume of 3-user CIS/non-SIC NOMA can be larger than that of 3-user IIS/SIC NOMA.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.97-105
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• 2021

Countries such as the United States, Russia, and Europe are developing and operating UAVs for various purposes, including stealth UAVs. North Korea is also operating unmanned aerial vehicles, and it is presumed that it is continuously flying south of the demarcation line to obtain information on the national security zone, but it is difficult to detect and neutralize it effectively. Therefore, this paper analyzed the military UAV development trends and military radar specifications in Western countries such as the United States and communist countries such as Russia, China, and North Korea through literature research. In addition, based on the investigation of the AESA radar-based UAV response system in the country, not only general responses but also countermeasures such as direct strike and electromagnetic pulses to North Korean UAVs that cannot be jammed were suggested.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.237-242
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• 2018

There are various 'wireless communication technologies' around us. Wireless mobile communication has evolved through various stages, and its utilization is also diverse. However, due to the development of wireless communication technology, the demand for frequency resources is much higher than the supply, so frequency shortage is serious. Recently, 'visible light communication' has been attracting attention as an emerging communication technology that can solve the frequency shortage. 'Visible light communication' is a communication method based on serial data transmission / reception, and there is a difficulty in transmitting / receiving parallel data because the transmitter and the receiver are arbitrarily present. In this paper, we have studied parallel data processing of visible light communication. We could solve the problem by analyzing parallel data using image processing. Through this study, communication performance can be verified through I / O data comparison by implementing parallel data analysis method. It is expected that diversity in parallel data analysis will be presented through the results.