• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.761-768
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• 2023

In the 4th Industrial Revolution, AI(Artificial Intelligence) and IoT(Internet of Things) technologies are being applied to across various fields, with particularly prominence in asset management, disaster management, and meteorological observation. In these fields, it is necessary to accurately determine the real-time and precise tracking of the object's location and status, and to collect various data even in situations that are difficult to detect with existing sensors. In order to address these demands, the use of GNSS(Global Navigation Satellite System) is essential, and this technology enables the efficient management of assets, disaster prevent and response, and accurate weather forecasting. In this paper, we provide the investigated results for the latest trends in the application of GNSS in the fields of asset management, disaster management, and weather observation, among various fields incorporating AI and IoT and analyze them.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.12
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• pp.357-362
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• 2023

Bridges are important transportation infrastructure, but they are subject to damage and cracking due to various environmental factors and constant traffic loads, which accelerate their aging. With many bridges now older than their original construction, there is a need for systems to ensure safety and diagnose deterioration. Bridges are already utilizing structural health monitoring (SHM) technology to monitor the condition of bridges in real time or periodically. Along with this technology, the development of intelligent bridge monitoring technology utilizing artificial intelligence and Internet of Things technology is underway. In this paper, we study an edge system technique for predicting bridge safety using fast Fourier transform and dimensionality reduction algorithm for maintenance of aging bridges. In particular, unlike previous studies, we investigate whether it is possible to form a dataset using sensor data collected from actual bridges and check the safety of bridges.

• Journal of Internet of Things and Convergence
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• v.3 no.2
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• pp.7-13
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• 2017

The purpose of this study was to develop and apply the convergence program to improve the marital satisfaction of the elderly couples. The purpose of this study was to overcome the divorce crisis of elderly couples and to provide a basic plan for divorce prevention through rapid aging and increase of divorce rate. The subjects of this study were 9 elderly women's welfare centers located in P city. The convergence program for improving the marital satisfaction of elderly couples in this study shows that marital satisfaction is improved by 52.1% from pre - test (cumulative complaint of marriage) to 32.1 (post - test). The results of a qualitative evaluation of the observational records show that it is very helpful to improve the relationship by acquiring the skill of sharing experience and communication between the elderly couple through the program, Marital satisfaction was improved. The results of this study show that the convergence program developed in this study is effective in improving marital satisfaction for elderly couples.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.55-66
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• 2019

Objectives: The purpose of the study was to identify the factors influencing the nursing students' Clinical Competency. Methods: A sample of convenience was 185 nursing students, and a questionnaire was used to measure their self-leadership, critical thinking disposition, self-directed learning ability, problem solving ability and clinical competency. Results: A significant positive correlation was found among clinical competency, self-leadership, critical thinking disposition, self-directed learning ability and problem solving ability. Grade of which the participant was in, interpersonal relationship, critical thinking disposition, problem solving ability, and self-directed learning ability were significant predictive variables of which accounted for 53% of the variance in clinical competency. Conclusions: The results from this study can be used to develop the programs for improving clinical competency.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.27-32
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• 2019

Recently, the introduction of the elementary and middle school software education essential courses in 2018, the emergence of educational solutions, and the need for digital content for software education rather than simple coding. In addition, in the case of current coding education, it is necessary to study how to induce interest in elementary, middle and high school students. In this study, we included the interactive (UX / UI) function using MR(Mixed Reality) and induced interest in coding education, and it was possible to cultivate logical thinking by applying storytelling coding rather than injection education. Suggested way. As a result of research, elementary, middle, and high school students easily proposed logical thinking education beyond the existing injection education method using mixed reality(MR) technology, and will break away from the injection coding education which is a problem of the school and school.

• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.73-79
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• 2019

Research is underway on services and systems that provide real-time alerts for suffocating gases and potentially explosive materials, but currently smart bend type services are lacking. This study supports real-time identification of explosion hazards due to static electricity in the workplace and immediate elimination of accident occurrence factors, real-time monitoring of worker status and workplace hazards (oxygen, hazardous chemical concentration), and immediate warning and data in case of danger. We propose a method of establishing an accident prevention system through analysis. In this way, various accidents that may occur in industrial sites are monitored using IoT-based intelligent sensor nodes, wireless network technology, data processing middleware, and integrated control system, and real-time risk information at the industrial sites is prevented and accidents are prevented. By supporting a safe working environment, the company can significantly reduce costs compared to post-procurement costs.

• Journal of Internet of Things and Convergence
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• v.5 no.1
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• pp.29-34
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• 2019

A bag filter collector is a kind of air purifier that organizes several or dozens of filters to purify fine dust and release clean air into the atmosphere. If the bag filter length is less than 5m, the dust and fume attached to the bag filter could be effectively removed by passing the compressed air generated by the diaphragm valve through the venturi. Injectors that are more efficient and economical are urgently needed to achieve satisfactory results for long-bag exhaustion of more than 7 meters. In the case of existing domestic and foreign injectors, a number of blow tubes were dismantled during maintenance, and the injector and blow tube were combined to pose a number of problems, including inconvenience of work due to weight increase. In this study, injector flow for the development of the best use of interpretation of the coanda effect and the fourth round of industrial technology Intelligent automation of exhaustion, have been engineered energy than standard equipment. lowering costs and filter life to radically improve the commercial studies.

• Journal of Internet of Things and Convergence
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• v.6 no.3
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• pp.53-58
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• 2020

The purpose of this study was to explore the experience of relational aggression that old users of institutions for seniors have, understanding what that experience means. In detail, the study tried to determine the nature of the experience through a structural description of what and how the elderly users experience relational aggression. For the purpose, this study made profound interviews with 7 elderly persons who sustained such aggression while using the seniors' institution in Busan. In the interview, a non-structured questionnaire survey was conducted. Data were analyzed using Colaizzi's phenomenological approach. As a result, the study identified 32 meanings of relational the experience which were in turn divided into 16 subjects, and 5 categories like 'I who am powerless', 'I who am in an unmanned island', 'whirlwinds in my mind', 'I who send myself into the world' and 'I who am dwindling'. Based on this result, this research made practical suggestions for preventing relational aggression as mentioned above.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.377-382
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• 2014

Analysis techniques of the data over time from the mobile environment and IoT, is mainly used for extracting patterns from the collected data, to find meaningful information. However, analytical methods existing, is based to be analyzed in a state where the data collection is complete, to reflect changes in time series data associated with the passage of time is difficult. In this paper, we introduce a method for analyzing multi-block streaming data(AM-MBSD: Analysis Method for Multi-Block Stream Data) for the analysis of the data stream with multiple properties, such as variability of pattern and large capacitive and continuity of data. The multi-block streaming data, define a plurality of blocks of data to be continuously generated, each block, by using the analysis method of the proposed method of analysis to extract meaningful patterns. The patterns that are extracted, generation time, frequency, were collected and consideration of such errors. Through analysis experiments using time series data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.5
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• pp.1117-1132
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• 2019

Recently, IT technology such as internet, mobile, and IOT has rapidly developed, making it easy to collect data necessary for business, and the collected data is analyzed as a new method of big data analysis and used appropriately for business. In this way, data collection and analysis becomes easy. In such data, personal information including an identifier such as a sensor id, a device number, IP address, or the like may be collected. However, if systematic management is not accompanied by collecting and disposing of large-scale data, violation of relevant laws such as "Personal Data Protection Act". Furthermore, data quality problems can also occur and make incorrect decisions. In this paper, we propose a new data governance maturity model(DGMM) that can identify the personal data contained in the data collected by companies, use it appropriately for the business, protect it, and secure quality. And we also propose a over all implementation process for DG Program.