• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.115-119
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• 2022

According to the 「Child Welfare Act, Article 16(1)」, when the age of a child reaches 18, he or she is discharged from prison. However, in order to prepare an effective support posture from the central government and local governments, a clear fact-finding survey on children who have completed protection is necessary. Therefore, in this study, the most basic questionnaire on housing, health, education, employment, and social relations of children living in Cheonan City after completion of protection is required. An investigation was conducted. As a result, the housing and social relationship of children living in Cheonan city were good compared to children living in Cheonan city compared to children who completed protection nationwide. Therefore, it was found that it is urgent to establish a close cooperation system with related organizations in this regard.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.445-466
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• 2022

As everything linking to the internet, people can subscribe to various services from a service provider to facilitate their lives through the Internet of Things (IoT). An obligatory thing for the service provider is that they should push the service data safely and timely to multiple IoT terminal devices regularly after the IoT devices accomplishing the service subscription. In order to control the service message received by the legal devices as while as keep the confidentiality of the data, the public key encryption algorithm is utilized. While the existing public encryption algorithms for push service are too complicated for IoT devices, and almost of the current subscription schemes based on push mode are relying on centralized organization which may suffer from centralized entity corruption or single point of failure. To address these issues, we design a secure subscription-push service scheme based on blockchain and edge computing in this article, which is decentralized with secure architecture for the subscription and push of service. Furthermore, inspired by broadcast encryption and multicast encryption, a new encryption algorithm is designed to manage the permissions of IoT devices together with smart contract, and to protect the confidentiality of push messages, which is suitable for IoT devices. The edge computing nodes, in the new system architecture, maintain the blockchain to ensure the impartiality and traceability of service subscriptions and push messages, meanwhile undertake some calculations for IoT devices with limited computing power. The legalities of subscription services are guaranteed by verifying subscription tags on the smart contract. Lastly, the analysis indicates that the scheme is reliable, and the proposed encryption algorithm is safe and efficient.

• Journal of IKEEE
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• v.26 no.3
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• pp.430-436
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• 2022

In this paper, we propose an intelligent camera for multiple body temperature detection. The proposed camera is composed of optical(4056*3040) and thermal(640*480), which detects abnormal symptoms by analyzing a person's facial expression and body temperature from the acquired image. The optical and thermal imaging cameras are operated simultaneously and detect an object in the optical image, in which the facial region and expression analysis are calculated from the object. Additionally, the calculated coordinate values from the optical image facial region are applied to the thermal image, also the maximum temperature is measured from the region and displayed on the screen. Abnormal symptom detection is determined by using the analyzed three facial expressions(neutral, happy, sadness) and body temperature values. In order to evaluate the performance of the proposed camera, the optical image processing part is tested on Caltech, WIDER FACE, and CK+ datasets for three algorithms(object detection, facial region detection, and expression analysis). Experimental results have shown 91%, 91%, and 84% accuracy scores each.

• The Journal of Korean Medicine
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• v.42 no.2
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• pp.98-106
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• 2021

Objectives: The objective of this case report is to find a therapeutic effect of Gyeji-tang in panic disorder patients, based on Shanghanlun provision. Methods: At patient's first visit, we had conducted a medical interview in order to diagnose the physical and mental symptoms of the patient. A questionnaire called BAI had been also used to measure the degree of anxiety in panic disorder. After all the diagnoses had been done, the patient was allowed to take 120cc of Gyeji-tang, three times a day for 25 weeks. 25 weeks later, we conducted a second medical interview to compare with the initial treatment and to evaluate whether his physical and mental symptoms had been decreased or not. Likewise, the patient was asked to fill out the BAI questionnaire to measure the decline of anxiety degree. Results: Based on Shanghanlun provision, the patient with panic disorder due to overwork was diagnosed as Tai-yang-bing. Considering that the patient was having dyspnea, 15th provision of Gyeji-tang was selected and administered for 25 weeks. After 25 weeks, we could have observed that the main physical symptoms such as palpitation, dyspnea, stifling, headache, and fatigue were moderately improved. Moreover, the BAI score, which was evaluated to measaure the degree of anxiety, was also decreased from 49 points to the level of normal condition, 16 points. Conclusions: A 44 year old male patient who suffered from panic disorder due to overwork was allowed to take 15th provision Gyeji-tang for 25 weeks, based on Shanghanlun Provision. In results, the main physical symtpoms including dyspnea, palpitation, stifling, headache, and fatigue, and mental symptom such as extreme anxiety were all effectively improved.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.1-12
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• 2022

The purpose of this study is to identify the social perception characteristics of young children with disabilities over the past decade. For this purpose, Textom, an Internet-based big data analysis system was used to collect data related to young children with disabilities posted on social media. 50 keywords were selected in the order of high frequency through the data cleaning process. For semantic network analysis, centrality analysis and CONCOR analysis were performed with UCINET6, and the analyzed data were visualized using NetDraw. As a result, the keywords such as 'education, needs, parents, and inclusion' ranked high in frequency, degree, and eigenvector centrality. In addition, the keywords of 'parent, teacher, problem, program, and counseling' ranked high in betweenness centrality. In CONCOR analysis, four clusters were formed centered on the keywords of 'disabilities, young child, diagnosis, and programs'. Based on these research results, the topics on social perception of young children with disabilities were investigated, and implications for each topic were discussed.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.32 no.4
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• pp.425-434
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• 2022

Objectives: This study analyzes TVOC concentrations in root industry workplaces in order to prevent probable occupational disease among workers. Root industry includes all the infrastructure of manufacturing, such as casting and molding. Methods: Real-time TVOC sensors were deployed in three root industry workplaces. We measured TVOC concentrations with these sensors and analyzed the results using a data-analysis tool developed with Python 3.9. Results: During the study period, the mean of the TVOC concentrations remained in an acceptable range, 0.30, 2.15, and 1.63 ppm across three workplaces. However, TVOC concentrations increased significantly at specific times, with respective maximum values of 4.98, 28.35, and 26.65 ppm for the three workplaces. Moreover, the analysis of hourly TVOC concentrations showed that during working hours or night shifts TVOC concentrations increased significantly to higher than twice the daily mean values. These results were scrutinized through classical decomposition results and autocorrelation indices, where seasonal graphs of the corresponding classical decomposition results showed that TVOC concentrations increased at a specific time. Trend graphs showed that TVOC concentrations vary by day. Conclusions: Deploying a real-time TVOC sensor should be considered to reflect irregularly high TVOC concentrations in workplaces in the root industry. It is expected that the real-time TVOC sensor with the presented data analysis methodology can eradicate probable occupational diseases caused by detrimental gases.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.57-62
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• 2022

In order to support women with career breaks to re-enter the labor market, it is not only necessary to discover and select promising jobs, but also to provide objective and accurate job information on selected promising jobs so that women with career breaks can make reasonable career choices. need arises. It can be pointed out that the government support course has no burden of tuition compared to the general course, and because the quality of education is high, it is possible to select trainees with a high willingness to find employment through competition in the recruitment process. In addition, the government support process secures relatively high-quality programs and instructors, increasing trainees' concentration, satisfaction, and willingness to find a job. Job literacy and employment preparation education are obligatory, job design support through job counseling, and continuous follow-up support. The system also works. Accordingly, if systematic and continuous development and support are made in the process of selecting promising occupations for women with career breaks and designing education and training programs, it is expected that women with career breaks will be more active in their re-entry into the labor market.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.41-46
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• 2023

Recently, big data analysis can use various techniques according to the development of machine learning. Big data collected in reality lacks an automated refining technique for the same or similar terms based on semantic analysis of the relationship between words. Since most of the big data is described in general sentences, it is difficult to understand the meaning and terms of the sentences. To solve these problems, it is necessary to understand the morphological analysis and meaning of sentences. Accordingly, NLP, a technique for analyzing natural language, can understand the word's relationship and sentences. Among the NLP techniques, the transformer has been proposed as a way to solve the disadvantages of RNN by using self-attention composed of an encoder-decoder structure of seq2seq. In this paper, transformers are used as a way to form associations between words in order to understand the words and phrases of sentences extracted from big data.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.293-302
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• 2022

The purpose of this study was to identify the problems and improvement plans of grouphome management, by analyzing the sizes and items of children grouphome budgets of national and local governments. Major results of this study were as follows. First, the most crucial issue regarding labor costs within child grouphome budget, was that there was a significant difference in conditions between workers in similar institutions and regions. Small-sized institutions operated under a system that inevitably required excessive workload for workers, leading to exhaustion. Second, the support of operation expenses was absolutely insufficient to meet the general and special needs of children, and the relative differences between facilities of the same type were also identified. Third, children grouphome had limitations in stable business planing and implementation due to the absence of business expense support. Through this analysis, this paper discussed appropriate budget supporting measures regarding children grouphome, in order to ensure equal protection of grouphome children.

• Journal of Software Assessment and Valuation
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• v.17 no.2
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• pp.31-38
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• 2021

In order to analyze the similarity of the source code object material, the source code on both sides must be able to be compiled and executed. In particular, in the case of hardware-integrated software, it is necessary to check whether the hardware interface matches. However, currently, the source code is provided in an incomplete state which is not original of source code used in developing steps. The complainant confirms that the executing characteristics are similar to their own in the expression and function of the output, and request an evaluation. When a source code compilation error occurs during the evaluation process, the experts draw a flowchart of the source code and applies the method of tracing the code flow for each function as indirect method. However, this method is indirect and the subjective judgment is applied, so there is concern about the contention of objectivity in the similarity evaluation result. In this paper, the problems of unverified source code similarity analysis and improvement directions are dealt with, through the analysis cases of source code disputes applied to embedded systems.