Recently, technological differentiation(sensor, AI) of products using IoT technology to satisfy consumer needs in the mature market for smart home appliances has received a lot of positive responses. However, air conditioner products are in the early stages of convergence technology. Therefore, air conditioner products are fields that require ICT technologies for information production, collection, processing, storage, and service development beyond IoT. In this paper, we collect and store contactless bio-signal using IR-UWB radar technology. The blowing direction of the air conditioning is controlled according to bio-signal and user's sleep is monitored to provide an optimal sleep environment. In addition, we propose a service algorithm that can provide comfort with changes in the optimal conditions of air conditioning and emotional lighting depending on the discomfort index environment. Through this study, we developed an intelligent smart air conditioning service platform with ICT technology of bio-signal, discomfort index, and emotional lighting.
In computing systems that require high reliability, the method of predicting the lifetime of a storage device is one of the important factors for system management because it can maximize usability as well as data protection. The life of a solid state drive (SSD) that has recently been used as a storage device in several storage systems is linked to the life of the NAND flash memory that constitutes it. Therefore, in a storage system configured using an SSD, a method of accurately and efficiently predicting the lifespan of a NAND flash memory is required. In this paper, a method for optimizing the lifetime prediction of a flash memory-based storage device using the frequency of NAND flash memory failure is proposed. For this, we design a cost matrix to collect the frequency of defects that occur when processing data in units of Drive Writes Per Day (DWPD). In addition, a method of predicting the remaining cost to the slope where the life-long finish occurs using the Gradient Descent method is proposed. Finally, we proved the excellence of the proposed idea when any defect occurs with simulation.
This study aims to derive the problems of firefighting and safety measures for architectural heritage with a wooden structure in rural areas and present their improvement measures. To identify those problems, this study grasped the features of the cultural heritage through the building structure and environment of a wooden Catholic secondary station in Dangjin, and analyzed fires that may occur and safety factors. As a result, although the mission station is an important cultural property in terms of its history, place and local identity, it had problems with disaster prevention systems such as vulnerable safety including fire and difficulties in fire recognition and initial firefighting. Therefore, this study concluded through its review and analysis that a disaster prevention system such as stronger firefighting is needed; that fire fighting facilities suitable for the characteristics of the secondary station with a wooden structure should be installed and a main player should be arranged in fire prevention activities to improve the fire prevention system of the cultural property; and that as most mission stations are located in rural areas, it is necessary to more thoroughly protect wooden-structure secondary stations from natural disasters such as forest fire and to improve fire response measures.
Through the 4th industrial revolution, it is rapidly developing in various fields such as artificial intelligence, AR/VR, and big data, and software is at the center. In the field of education as well, the importance of integrated education to support the development of technology is being emphasized, and in order to compete in software technology, securing human resources for software development should be prioritize in domestic. However, unlike the hardware-centric society of the past, the role of software technology human resources is very important, and the reality is that they are discharging human resources that are far from the human resources image that companies need. In this paper, present an immersed education model for training AR software professionals, and based on this, propose an evaluation index that can grasp the quality of the program of the immersed AR education model. Through the AR education model, it is expected that the weaknesses and strengths of the model can be identified, and it can contribute to setting the direction for improvement of the education program.
In order to apply reinforcement learning to a robot in a real environment, it is necessary to use simulation in a virtual environment because numerous iterative learning is required. In addition, it is difficult to apply a learning algorithm that requires a lot of computation for a robot with low-spec. hardware. In this study, ML-Agent, a reinforcement learning frame provided by Unity, was used as a virtual simulation environment to apply reinforcement learning to the obstacle collision avoidance problem of mobile robots with low-spec hardware. A DQN supported by ML-Agent is adopted as a reinforcement learning algorithm and the results for a real robot show that the number of collisions occurred less then 2 times per minute.
Natural dyeing has traditionally been used in many countries around the world, and as natural dyes are diversified, the diversity of dyeing patterns is also expanding. This study tried to establish standardization by providing numerical values that could provide quantified information to the Internet of Things by more accurately analyzing the color changes of dyes and mordants for the four natural dyes. The addition of copper acetate, iron II sulfate and potassium dichromate to the dye extracted Linn changed the original color of brown to other colors of purple, khaki and dark from brown, respectively. Except for potassium dichromate added to L. or , the concentration of other mordants was reduced, but the color difference of the dyed silk was very large. However, although there is a difference in degree, copper acetate and iron sulfate induced color changes of 35% and 15%, respectively. In summary, it was confirmed that the highest color change was induced when 15 grams of copper acetate was added to Linn, and 150 grams of iron to . The results of L. and this study suggested that the accurate color change by various mordants can be utilized as important information that enables more accurate color induction by dyes and mordants.
The purpose of the study was to explore experience of self-awareness of nursing students in ‘Counseling theory and practice’ online class. Participants were 40 of nursing students learning of counseling theory subject in online, and Colaizzi’s phenomenological method was used. The results were as follows. There were five theme clusters that ‘find hidden my inner side’, ‘improve my healthy inner self’, ‘reflection of myself’, ‘recognize each others’ different viewpoints’ and ‘create an aspiration and an impact’. Therefore, nursing students established self-awareness after learning of ‘Counseling theory and practice’ online class.
This study is a quasi-experimental study designed to examine the effects of color therapy on job stress and depression by applying color therapy to intensive care unit nurses. The subjects of this study were S hospital located in S city, a secondary medical institution with 500 beds, P hospital located in B city, and nurses in the intensive care unit of two general hospitals. The data collection period was 8 weeks from November 2, 2020 to December 25, 2020, with 29 patients in the experimental group and 29 in the control group. The data were analyzed by chi-square test, independent t-test and paired t-test using the SPSS WIN 22.0 program. The experimental group applied color therapy twice a day (before and after work) using a standardized canvas frame painted in yellow, red, blue, and three colors, and a total of 20 times for 10 days, and the control group lived and woked as usual without appiled color therapy. As a result of study, the experimental group showed a significant decrease in job stress score by 0.43 points and depression score by 0.26 points compared to the control group
The purpose of this study is to develop a personality education tea culture therapy program to effectively improve juvenile delinquency prevention and social adaptation. In order to verify the effectiveness of the tea culture therapy program through social intervention, we analyzed whether there were significant differences in the scores of social characteristics such as self-efficacy, self-control, and interpersonal relationships of juvenile detention students before and after participating in the program. Ten juvenile detention students between the ages of 14 and 17 who were accommodated to a juvenile detention center in B city were selected as the experimental group for the study. The tea culture therapy program was conducted 10 times as a social intervention personality education for juvenile delinquents, and as a result, self-efficacy was found to have a pre-mean of 2.37 (SD 0.33) and a post-mean of 2.49 (SD 0.31), showing a significant difference (Z=-5.874. P=.000), self-control showed a significant difference with the pre-mean 2.06 (SD 0.20) and the post-mean of 2.16 (SD 0.19) (Z=-4.743, P=.001). The interpersonal relationship was found to have a significant difference, with a pre-mean of 1.90 (SD 0.32) and a post-mean of 2.15 (SD 0.21) (Z=-5.892, P=.000). The above results show that this program has a significant effect on improving social characteristics such as self-efficacy, self-control, and interpersonal relationships among juvenile detention students. Therefore, the tea culture therapy program developed in this study for personality education for juveniles can be used as a personality education program for various types of adolescents as well as in the field of correctional welfare in the future.
This study investigated the status of disaster response, focusing on modern architecture. The modern architecture is drawing more attention and being more used in the local community among the architectural heritage in downtown collective. The railway employee residence area in Soje-dong, Daejeon is a collective building group, and the efforts to evaluate and preserve its historical, cultural, and architectural values have been underway. However, the area is now an undesignated cultural property that does not receive institutional protection. It carries significance in preserving it as a collective building group. Yet, since the main structure is made of wood, the risk of being destroyed by fire or disaster is high, and disaster prevention measures are insufficient. Therefore, this study examined the structural and non-structural conditions such as the arrangement and architectural characteristics of official residence buildings, and looked into measures of the construction of a disaster prevention system and residents’ participation. To preserve the urban historical environment created as a collective architectural heritage, it is necessary that the area reinforces its own disaster prevention capabilities, such as establishing an effective disaster prevention system considering village characteristics, strengthening disaster prevention capabilities based on residents’ participation, and forging formal and informal governance in the local community.
In the 4th industrial revolution, research on various new technologies is being actively conducted. Among the new technologies of the 4th industrial revolution, interest in blockchain is very high. A lot of research on this kind of block chain is being actively conducted, centered on graduate schools. It is not easy for a university to operate a dedicated blockchain curriculum centered on undergraduate students. In such a situation, a variety of new blockchain ecosystems have been created to revitalize the blockchain-related industry, and many developments are being made with a lot of interest and effort. In this research, we intend to propose a university curriculum model for blockchain, which is important in the 4th industrial revolution. Regarding the blockchain education model, we propose a related blockchain education model focusing on the contents of operating an industry-oriented education course through the human resource nurturing process, and various blockchain education will be activated to achieve the blockchain industry development.
This study verified what differences in screen golf content characteristics, intention to reuse, customer satisfaction and economic value experienced by consumers according to the image feeling, expression method, and image color provided by screen golf graphic content. In addition, the purpose of this study was to analyze what kind of influence the content characteristics of screen golf have on the economic value and what kind of influence the intention to reuse and customer satisfaction have in this process. From September 1, 2021 to September 30, 2021, a survey of 225 copies of consumers using the screen golf course was conducted. For data processing, frequency analysis, factor analysis, reliability analysis, cluster analysis, chi-square analysis and 3-step mediated regression analysis were performed. The research results are as follows. First, the preferred image feeling showed a high level of clean and sophisticated feeling and the preferred expression method showed a high realistic image. In addition, the preferred image color showed a high level of green color. Second, there were differences in competitiveness, ease of use, sense of solidarity and realism according to the degree of consideration of graphic content and differences in consumer's intention to reuse, customer satisfaction, and economic value. Third, in the relationship between screen golf content characteristics and economic value, customer satisfaction and re-use intention had a mediating effect. Through this study, by providing basic data to derive the graphic design model of screen golf, the operating entity suggested a way to improve economic benefits and tried to contribute to the growth of the screen golf industry.