• International journal of advanced smart convergence
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• v.10 no.3
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• pp.187-197
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• 2021

We present following research summary and implications through the analysis of the research. First, the before the opening of public cremation facilities compared to new opening of those, the number of the corpse cremation increases to annual average of 5.5% of the rate, and it has a positive effect on increasing rate of the cremation. Therefore, a policy of expanding the supply of public cremation facilities should be pursued to improve cremation rate in the area of uninstalled public cremation facilities. Second, the before the opening of public cremation facilities compared to new opening of those, the number of the corpse cremation has increased to the annual average 3,623 people(56.9%) at jurisdiction area, while it has decreased to 949 people (28.3%) at the out of the jurisdiction area. The active efforts and building the funding expansion should be made to establish public cremation facilities of the central and local governments to improve convenience of the use of public cremation facilities. Third, since the before and after opening of public cremation facilities at Jeongeup City lead to great effect on demand of jurisdiction area and out of the jurisdiction area, the cremation demand should be reduced through the supply expansion of public cremation facilities and differentiation strategy to control cremation demand at the out of the jurisdiction area, focusing on metropolitan areas with high cremation demand, such as metropolitan areas or metropolitan cities.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.225-231
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• 2021

In the search for another appealing source of future food to cover the increasing need for nutrients of a growing global population, this study reviewed the potential of insects as human food. This study assessed some common edible insects, but concentrated on mealworms. Insects, especially mealworms, have a similar or higher nutritional value than many conventional food sources. The present study aimed to promote health through the development of blueberry cake by Mealworm Powder (Tenebrio molitor Lavare). The results of Sensory evaluation comparison of Blueberry cake to different levels of mealworm powder. The sensory evaluation showed that sample 3 had the highest color, taste, texture, and overall texture except flavour. Therefore, mealworm blueberry cake made with 60g of mealworm powder showed the best results. The results of analyzing the general components of the Mealworm blueberry cake showed more than two times higher Crude protein and less than half Crude fat compared to control blueberry cake. It is believed that the addition of mealworm powder means that the protein in the cake, a high carbohydrate food, has been strengthened. This is the development of bakery products with both nutritional excellence and symbolism, and it is believed that wheat worm powder is a good food material as a favorite food, not a hateful food, which will improve consumer awareness of edible insects.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.105-112
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• 2021

This study was conducted on 878 retired women in their 50s and 60s across the country using the 7th data from the National Pension Service's KReiS. We used SPSS WIN 18.0, and the analysis results are as follows. First, there were many highly educated people in their 50s or older and those in their 60s and undereducated. Second, families in their 50s had the largest number of members with more than three, while households in their 60s had the largest number of two. Third, both age groups chose themselves and their spouses as responsibilities for preparing for retirement. In addition, more people in their 60s chose the government as their responsibility for preparing for retirement than in their 50s. Both people in their 50s and 60s say they are "not prepared" to prepare for retirement expenses, raising concerns about elderly poverty. Fourth, economic strength, health, and medical care were important for retirement in both age groups as part of their preparations for retirement, and they chose economic strength, health, medical care and job as the things to do in society. Fifth, both people in their 50s and 60s have very low public and private pension subscription rates, requiring special attention from the government and society to their old age. Judging from the above results, both women in their 50s and 60s have retired, but preparations for retirement are very insufficient. Therefore, the government and society need to strengthen the public pension system and create jobs for the elderly.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.198-206
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• 2021

Based on the results of the survey and analysis of this study, we suggested a plan to activate the use of Capital Area Public Charnel Facilities as follows. First, the elderly population in Korea increased from 11.9% in 2013 to 16.4% in 2020, and the number of deaths also increased from 266,257 in 2013 to 305,127 in 2020. The supply of Public Charnel Facilities should be expanded, reflecting the cremation demand in the future and condition for the supply and increasing demand of Public Charnel Facilities after cremation, due to an increase of 14.6%. Second, it is urgent to expand the supply because the available period of using Capital Area Public Charnel Facilities is a short period of at least one year up to five years. However, as it is difficult to build Public Charnel Facilities due to location conflicts with local residents, joint construction plans between local governments should be promoted along with renting Private Charnel Facilities. Third, the enshrinement number ratio of the Public Charnel Facilities to the total cremation number of Capital Area Public Cremation Facilities is 16.3%, which is low. Therefore, when building Public Charnel Facilities, improvement plans for the use of public funeral facilities, such as modernization and promotion of facility level, quality improvement of service level, and creation of a pleasant environment, should be actively promoted.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.122-130
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• 2021

This study is about an Artificial Intelligence-based fake news identification system and its methods to determine the authenticity of content distributed over the Internet. Among the news we encounter is news that an individual or organization intentionally writes something that is not true to achieve a particular purpose, so-called fake news. In this study, we intend to design a system that uses Artificial Intelligence techniques to identify fake content that exists within the news. The proposed identification model will propose a method of extracting multiple unit factors from the target content. Through this, attempts will be made to classify unit factors into different types. In addition, the design of the preprocessing process will be carried out to parse only the necessary information by analyzing the unit factor. Based on these results, we will design the part where the unit fact is analyzed using the deep learning prediction model as a predetermined unit. The model will also include a design for a database that determines the degree of fake news in the target content and stores the information in the identified unit factor through the analyzed unit factor.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.245-256
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• 2021

This study is significant in determining the reduction of safety accidents by applying PDCA's theory by subdividing it into a case analysis technique for construction sites by PDCA's theory. For this study, accidents accounted for the largest proportion of each type of disaster in the construction site were considered, and safety accidents were reduced through the PDCA theory through prior research. The analysis method of this study derived improvement plans by applying PDCA techniques to plan, implement, confirm, review, and improve disaster accidents at construction sites. The conclusions of this study are as follows. In the plan, first of all, measures shall be taken to prepare a safety management plan, to verify the implementation of the plan, and to verify the degree of implementation by the field manager. In the implementation, first of all, it is necessary to introduce a safety education history system to strengthen the safety education curriculum to suit the site, as long-term work is impossible for field workers depending on field conditions. First of all, it is necessary to strengthen the installation of safety facilities, including "work scaffolding" and "conducting prevention facilities" at construction sites. In management review and improvement, the risk assessment system for construction sites needs to be expanded first°.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.17-25
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• 2021

As a new paradigm in non-orthogonal multiple access (NOMA), correlated superposition coding (CSC) has gained an attention in the literature of NOMA, in contrast to standard independent superposition coding (ISC). In the conventional 3-user CSC scheme, it has been reported that the average allocated power can be reduced, owing to an introduced correlation between transmitted signals. Thus, this paper proposes a 3-user cross CSC scheme with purely-imaginary correlation coefficients. First, we derive the achievable data rates of the proposed 3-user cross CSC scheme, for each of the three users. Then, simulations demonstrate that for the proposed 3-user cross CSC scheme, the achievable data rates of the first and second users increase greatly and slightly, respectively, whereas the achievable data rate of the third user decreases little, compared to those of the conventional 3-user CSC scheme. In addition, we also show that the sum rate of the three users of the proposed 3-user cross CSC scheme is much larger than that of the three users of the conventional 3-user CSC scheme. As a result, the proposed 3-user cross CSC scheme could be a solution to the problem of the reduction of the average allocated total power in the conventional 3-user CSC scheme toward the fifth-generation (5G) NOMA mobile networks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.781-784
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• 2009

IPTV, which is convergence of Communication and Broadcasting, has improved quickly recently. This service can provide high quality and various services to their customers, such as choosing channels freely, VOD and many kinds of Interactive service. As the technology of IPTV rapid development, more and more people worry about its disadvantages during the spread and apply, for instance, the illegal application, illegal copy, access authority abuse and the danger of the IPTV contents. This paper will provide the solution to solve these problems, through the Public Key Certificate of PKI(Public Key Infrastructure) and the Attribute Certificate of PMI(Privilege Management Infrastructure).

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.132-138
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• 2020

Worldwide, the number of corona virus disease 2019 (COVID-19) confirmed cases is rapidly increasing. Although vaccines and treatments for COVID-19 are being developed, the disease is unlikely to disappear completely. By attaching a smart sensor to the respirator worn by medical staff, Internet of Things (IoT) technology and artificial intelligence (AI) technology can be used to automatically detect the medical staff's infection symptoms. In the case of medical staff showing symptoms of the disease, appropriate medical treatment can be provided to protect the staff from the greater risk. In this study, we design and develop a system that detects cough, a typical symptom of respiratory infectious diseases, by applying IoT technology and artificial technology to respiratory protection. Because the cough sound is distorted within the respirator, it is difficult to guarantee accuracy in the AI model learned from the general cough sound. Therefore, coughing and non-coughing sounds were recorded using a sensor attached to a respirator, and AI models were trained and performance evaluated with this data. Mel-spectrogram conversion method was used to efficiently classify sound data, and the developed cough recognition system had a sensitivity of 95.12% and a specificity of 100%, and an overall accuracy of 97.94%.