• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.109-119
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• 2011

The virtual reality (VR) technology has been used as the application of architectural presentation or simulation tool in the field of industry. The high immersion and intuitive visual information are the great merits of design evaluation or environmental simulation when we are using the virtual environments. But the distortion of distance perception in VR is still a big problem when the accuracy of distance presentation is strictly required. For example, distance estimation is especially important when the virtual environments are applied to the presentational tool for evaluation the space design or planning in the field of architecture. If there are some perception error between the built space in real and represented space in virtual, the accurate design evaluation or modification of design is hard to be carried out during the design development stage. In this paper, we have carried out some experiments about distance estimation in the immersive virtual environments to verify the factors and their influence. We made a hypothesis that the lack of the information for the user in VR causes the different distance estimation from the real world because users are usually comfortable with moving fast and long distance in VR environments compared with moving slow and short distance in real space. So, we carried out basic experiment to prove our hypothesis that the lack of information makes subjects estimate the distance of walking in VR shorter compared with the same distance in real. Also, among the factors that probably affect the distance estimation in VR, we have verified the influence of the image resolution. The influence of resolution degradation of image on the distance estimation was verified with the condition of static and dynamic images. The results showed that the resolution has deep relation with the distance estimation. For example, the subject underestimated the distance at the lower resolution condition. We also found the methods of the making the lower resolution image could affect on the visual perception of subjects.

• Journal of the Korea Computer Industry Society
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• v.2 no.7
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• pp.885-894
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• 2001

The production and application of multimedia by domain in accordance with an infant level on the educational spot are some what insufficient to satisfy and difficult to be connected with class activities. Therefore, This essay proposes a way that it products educational program in accordance with a child level using ToolBook II and applies to class activities directly so that the infants can promote learning achievement. The embodied program is to be classified into six domains, a letter world, a figure world, a colorful world, a nursery rhyme world, a nursery tale world and internet site, on the basis of the play domain of infant education course. It is different from the existing CD ROM Title for young children by subject. The program is appropriately applied close multimedia factor for infants, such as images and sounds in order to stimulate their hearing and vision because it is programmed just for young children. And also, it is made up to be able to be applied without suing letters because they are unaccustomed to letter. After it have been applied to infants, A Rating-measure method is chosen in the course of an evaluation. Consequently, It shows that, a letter world, a figure world and a colorful world of each domain have an efficient learning effect and also at the ages of 5~7, 7 year-old infants have the best efficient learning effect.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.103-110
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• 2021

The purpose of this study is to check the trend of press articles and research trends in journal papers in the last 10 years, which dealt with the subject of 'university core competencies' with a big data analysis method. The main research methodology of this study applied the BigKinds analysis system and the semantic network analysis methodology. The results are as follows: First, the number of press articles related to university core competencies showed a keyword trend that rapidly increased in December 2014 and the second half of 2020. Related keywords were curriculum, specialization, project group, Ministry of Education, ACE, and competitiveness. Second, the semantic network value between keywords of related research papers showed 554 degree, 18,467 avg. degree, and 0.637 density. The degree of centrality of connection was analyzed in the order of university(1606), competency(1481), core(1349), and core competency(1301). Betweenness centrality was analyzed as core competencies(13.101), university students(13.101), university(13.101), and competencies(13.101). The results of this research are expected to give implications to future research and policy-making, educational program planning and operation, etc. to members of higher education institutions, experts in education policy, and educational scholars.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.237-245
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• 2021

In this study, using data completed in the 11th year of the Panel Study on Korean Children, discourse management, situational adjustment and application ability, communication intention, and non-verbal communication were investigated by the child pragmatic language checklist tool in the field of cognitive and language development. It is to find a significant influence by analyzing the relationship between the factors of the observed variables on the latent variables of communication. The subject of this study is 4th grade elementary school students in 1,392 households, excluding 36 non-respondents to the language development question, out of 2150 households in the 11th year of the Panel Study on Korean Children(2018) data, 1428 households excluding 722 households who did not participate in the survey. As a result of the study, it was found that the total effect, direct effect, and indirect effect among the three latent variables except for communication intention were all significant in the effect analysis of the research model. Specifically, not only did nonverbal communication have a direct effect on discourse management ability, but also the indirect influence mediated by situational control and application ability was significant in the relationship between nonverbal communication and discourse management ability. As a result, it was found that the higher the non-verbal communication and situational adjustment and adaptation ability, the higher the discourse management ability.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.199-204
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• 2022

The purpose of this study is to broaden the understanding of the Security Services Industry Act, and also to examine the meanings of various phenomena by analyzing the media report big data rather than the researchers' perspective on the Security Services Industry Act. In the research method, this study searched for a keyword 「Security Services Industry Act」 that prescribes the security work as an important subject of crime prevention and maintenance of public order in Korea. The data was searched from 1990 to 2021 the BIG KINDS could provide. Also, for the concrete analysis during the period of data search, it was divided into settlement period(1976~2001), growth period-quantitative(2002~2012), and growth period-qualitative(2013~2021). In the results of this study, the media report perception of the Security Services Industry Act is continuously emphasizing the social roles and importance of private security according to the flow of time. The consequent marketability of private security will play great roles in the protection of people's lives and properties in the combination with various other industries in the future. However, the private security industry that provides public peace service together with the police, could be rising as an element that hinders the development of private security industry because of various social issues caused by legal regulations and illegal problems, so it would be necessary to more strengthen its responsibility and roles accordingly.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.203-210
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• 2022

The purpose of this study examines to what extent the multicultural youth's dual culture acceptance attitude is significantly affected by cultural adaptation stress and national identity using the data of the MAPS(Multicultural Adolescents Panel Study) conducted by the National Youth Policy Institute. The subject of the study was the first data of the second period of the MAPS, and 2,246 multicultural youth who were enrolled in the fourth grade of elementary school as of 2019 were used as analysis data. As a result of the study, it was found that the attitude to accept dual culture was significantly affected in the order of national identity and cultural adaptation stress. This means that the higher the national identity and the lower the cultural adaptation stress, the higher the attitude toward dual culture. On the other hand, as for the type of multicultural youth, it was found that international marriage families had the lowest attitude toward accepting dual culture. In terms of the size of the area where students live, large cities have the lowest dual cultural acceptance attitude. These results suggest that cultural adaptation stress, national identity, type of multicultural family, and area of residence act as major variables in multicultural youth's dual culture acceptance attitude.

• Steel and Composite Structures
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• v.48 no.2
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• pp.163-177
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• 2023

Complex and intricate preparation techniques, the imperative for utmost precision and sensitivity in instrumentation, premature sample failure, and fragile specimens collectively contribute to the arduous task of measuring the fracture toughness of concrete in the laboratory. The objective of this research is to introduce and refine an equation based on the gene expression programming (GEP) method to calculate the fracture toughness of reinforced concrete, thereby minimizing the need for costly and time-consuming laboratory experiments. To accomplish this, various types of reinforced concrete, each incorporating distinct ratios of fibers and additives, were subjected to diverse loading angles relative to the initial crack (α) in order to ascertain the effective fracture toughness (Keff) of 660 samples utilizing the central straight notched Brazilian disc (CSNBD) test. Within the datasets, six pivotal input factors influencing the Keff of concrete, namely sample type (ST), diameter (D), thickness (t), length (L), force (F), and α, were taken into account. The ST and α parameters represent crucial inputs in the model presented in this study, marking the first instance that their influence has been examined via the CSNBD test. Of the 660 datasets, 460 were utilized for training purposes, while 100 each were allotted for testing and validation of the model. The GEP model was fine-tuned based on the training datasets, and its efficacy was evaluated using the separate test and validation datasets. In subsequent stages, the GEP model was optimized, yielding the most robust models. Ultimately, an equation was derived by averaging the most exemplary models, providing a means to predict the Keff parameter. This averaged equation exhibited exceptional proficiency in predicting the Keff of concrete. The significance of this work lies in the possibility of obtaining the Keff parameter without investing copious amounts of time and resources into the CSNBD test, simply by inputting the relevant parameters into the equation derived for diverse samples of reinforced concrete subject to varied loading angles.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.155-166
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• 2023

This study was conducted with 50 elderly people each (5) participating in the cognitive rehabilitation treatment program at the Dementia Care Center in D City to derive the development direction and contents of a multidimensional therapeutic recreation program and a revitalization plan through analysis of the current status and actual conditions of the cognitive rehabilitation program at the Dementia Care Center. aperture) was selected, and 9 people were selected as the subject of expert group opinion collection. The collected data was SPSS ver. Using the 18.0 statistical program, descriptive statistics and the importance and priority of each component were analyzed by hierarchical structure analysis. First, unlike the needs of users, the cognitive rehabilitation support programs currently being provided are not sufficient and require considerable experience. It was found to be low, and the areas for improvement were the expansion of care and protection facilities and the development of various programs to meet the needs of users. Second, the importance and priority of each component of therapeutic recreation were categorized into 6 major categories: exercise therapy , middle category (16 items) behavior-centered approach to exercise therapy, small category (47 items) strength and brain gymnastics, and silver health gymnastics were the highest. This result shows that a multidimensional program plan that considers the priorities of each area must be made when developing a therapeutic recreation program.

• The Journal of Korean Academic Society of Nursing Education
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• v.4 no.2
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• pp.204-219
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• 1998

The use of instructional media in nursing education was investigated using a descriptive research methodology. Data were collected from 199 professors teaching in the areas of Fundamental Nursing (48 subjects), Adult Nursing(56 subjects), Pediatric Nursing(49 subjects), and Community Health Nursing(46 subjects). 120 professors were from 3-year college of nursing and 79 professors were from 4-year college of nursing, Data were analyzed using descriptive statistics (mean, standard deviation), and ANOVA with SPSS $PC^+$ program. The results are as follows. 1) The general attitude of the subjects toward the use of instructional media was positive(mean : 3.75). However, from the ANOVA result the subjects from 4-year college of nursing had more positive attitudes in the areas of media utilization and supply system. Most subjects had high interest in the areas of effectiveness of the media, and media literacy in using instructional media. 2) OHP(mean was 3.76) and VTR(mean was 3.36) were the most used instructional media in nursing education. These media were efficiently supplied by the school. However, other media like CD-ROM, Opaque Projector, and LCD or beam Projector were not sufficiently provided by the school. 3) The main reasons to use instructional media were that the use of media is effective to raise students' attention and learning motivation. 4) Insufficiency of the media and environment to use media were the causes of the lack of using instructional media. 5) The use of PC communication of internet, LCD or beam Projector, and Computer Graphics was low. The reasons were that the subjects did not have enough knowledge and skills to use these media, and there was lack of media or environment. 6) In general, environment to use media of the 3-year college of nursing was worse than that of 4-year college of nursing. However, there was no significant differences between the two groups in the use of media related to their position, and subject. On the basis of the study results professors teaching nursing have positive attitudes to use instructional media but the lack of media supply or facility to use media limited the use of instructional media.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.131-145
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• 2020

In line with the trend of industrial innovation, IoT technology utilized in a variety of fields is emerging as a key element in creation of new business models and the provision of user-friendly services through the combination of big data. The accumulated data from devices with the Internet-of-Things (IoT) is being used in many ways to build a convenience-based smart system as it can provide customized intelligent systems through user environment and pattern analysis. Recently, it has been applied to innovation in the public domain and has been using it for smart city and smart transportation, such as solving traffic and crime problems using CCTV. In particular, it is necessary to comprehensively consider the easiness of securing real-time service data and the stability of security when planning underground services or establishing movement amount control information system to enhance citizens' or commuters' convenience in circumstances with the congestion of public transportation such as subways, urban railways, etc. However, previous studies that utilize image data have limitations in reducing the performance of object detection under private issue and abnormal conditions. The IoT device-based sensor data used in this study is free from private issue because it does not require identification for individuals, and can be effectively utilized to build intelligent public services for unspecified people. Especially, sensor data stored by the IoT device need not be identified to an individual, and can be effectively utilized for constructing intelligent public services for many and unspecified people as data free form private issue. We utilize the IoT-based infrared sensor devices for an intelligent pedestrian tracking system in metro service which many people use on a daily basis and temperature data measured by sensors are therein transmitted in real time. The experimental environment for collecting data detected in real time from sensors was established for the equally-spaced midpoints of 4×4 upper parts in the ceiling of subway entrances where the actual movement amount of passengers is high, and it measured the temperature change for objects entering and leaving the detection spots. The measured data have gone through a preprocessing in which the reference values for 16 different areas are set and the difference values between the temperatures in 16 distinct areas and their reference values per unit of time are calculated. This corresponds to the methodology that maximizes movement within the detection area. In addition, the size of the data was increased by 10 times in order to more sensitively reflect the difference in temperature by area. For example, if the temperature data collected from the sensor at a given time were 28.5℃, the data analysis was conducted by changing the value to 285. As above, the data collected from sensors have the characteristics of time series data and image data with 4×4 resolution. Reflecting the characteristics of the measured, preprocessed data, we finally propose a hybrid algorithm that combines CNN in superior performance for image classification and LSTM, especially suitable for analyzing time series data, as referred to CNN-LSTM (Convolutional Neural Network-Long Short Term Memory). In the study, the CNN-LSTM algorithm is used to predict the number of passing persons in one of 4×4 detection areas. We verified the validation of the proposed model by taking performance comparison with other artificial intelligence algorithms such as Multi-Layer Perceptron (MLP), Long Short Term Memory (LSTM) and RNN-LSTM (Recurrent Neural Network-Long Short Term Memory). As a result of the experiment, proposed CNN-LSTM hybrid model compared to MLP, LSTM and RNN-LSTM has the best predictive performance. By utilizing the proposed devices and models, it is expected various metro services will be provided with no illegal issue about the personal information such as real-time monitoring of public transport facilities and emergency situation response services on the basis of congestion. However, the data have been collected by selecting one side of the entrances as the subject of analysis, and the data collected for a short period of time have been applied to the prediction. There exists the limitation that the verification of application in other environments needs to be carried out. In the future, it is expected that more reliability will be provided for the proposed model if experimental data is sufficiently collected in various environments or if learning data is further configured by measuring data in other sensors.