• Journal of Internet of Things and Convergence
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• v.10 no.1
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• pp.69-75
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• 2024

This paper proposes an innovative cognitive IoT framework specifically designed for fog computing (FC) in the context of industrial Internet of Things (IIoT). The discourse in this paper is centered on the intricate design and functional architecture of the Cognitive IoT platform. A crucial feature of this platform is the integration of machine learning (ML) and artificial intelligence (AI), which enhances its operational flexibility and compatibility with a wide range of industrial applications. An exemplary application of this platform is highlighted through the Predictive Maintenance-as-a-Service (PdM-as-a-Service) model, which focuses on real-time monitoring of machine conditions. This model transcends traditional maintenance approaches by leveraging real-time data analytics for maintenance and management operations. Empirical results substantiate the platform's effectiveness within a fog computing milieu, thereby illustrating its transformative potential in the domain of industrial IoT applications. Furthermore, the paper delineates the inherent challenges and prospective research trajectories in the spheres of Cognitive IoT and Fog Computing within the ambit of Industrial Internet of Things (IIoT).

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.5
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• pp.737-746
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• 2023

As the core infrastructure to lead technical innovation for the fourth industrial revolution, economic value and utilizations of radiowaves are increased rapidly. The objectives of this study are to recognize the growing trend of radio stations that transmit information using radiowaves, a limited resource of the country, and to propose developed plans for the radio stations operation system in line with the changing radio technology and use environment. To be specific, the detailed implementation procedures and methods of the system were derived in accordance with the government's plan to convert the complete inspection of radio stations into a SDoC(Self Declaration of Conformity) by the telco. SDoC is a policy that grants autonomy and responsibility for radio waves interference management to existing telecom operator recognized as having radio stations operating capabilities. It has significance in that the function of radio stations inspection, which is a representative technical regulation, is efficiently distributed to the government and the private sector. This study has significance in providing reference for expediting deregulation in the radiowaves management policy.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.19-25
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• 2023

This study was conducted to confirm the level of stress and infection prevention behavior of nursing college freshman during the COVID-19 pandemic. 119 nursing college freshmen who took remote classes because face-to-face classes were not possible due to the COVID-19 pandemic. The collected data were analyzed by descriptive statistics, Independent t-test, one-way ANOVA, and Pearson's correlation coefficient using SPSS WIN/PC 26.0 statistics program. As a result of this study, the sensitivity to stress was significantly higher when the attitude towards college life was passive (F=5.92, p=.004), and when people perceived themselves as healthy, their stress was significantly lower (t=-2.22, p=.029). In addition, those who responded that they were very uncomfortable due to activity restrictions due to COVID-19 had a significantly higher level of infection prevention behavior than those who responded that they did not feel any discomfort (F=3.51, p=.018). In a pandemic environment such as COVID-19, efforts to promote a positive attitude and awareness of health conditions are needed to reduce the stress of college freshmen and increase infection prevention behavior.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.93-98
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• 2023

In paddy rice farming, water management is a critical task. To suppress weed emergence during the early stages of growth, fields are deeply flooded, and after transplantation, the water level is reduced to promote rooting and stimulate stem generation. Later, water is drained to prevent the production of sterile tillers. The adequacy of water supply is influenced by various factors such as field location, irrigation channels, soil conditions, and weather, requiring farmers to frequently check water levels and control the ingress and egress of water. This effort increases if the fields are scattered in remote locations. Automated irrigation systems have been considered to reduce labor and improve productivity. However, the net income from rice production in 2022 was about KRW 320,000/10a on average, making it financially unfeasible to implement high-cost devices or construct new infrastructure. This study focused on developing an IoT-Based irrigation valve that can be easily integrated into existing agricultural infrastructure without additional construction. The research was carried out in three main areas: Firstly, an irrigation valve was designed for quick and easy installation on existing agricultural pipes. Secondly, a power circuit was developed to connect a low-power Cat M1 communication modem with an Arduino Nano board for remote operation. Thirdly, a cloud-based platform was used to set up a server and database environment and create a web interface that users can easily access.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.6
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• pp.175-184
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• 2022

Blockchain is being studied in various fields such as logistics, fintech, medical care, and the public sector. In the public information software project, some deliverables are omitted because the developed deliverables and the deliverables requested by the project management methodology do not match, and an additional process is required for payment. In this paper, we propose the deliverables management system for public information software project which is configured a distributed environment using the Ethereum blockchain and which has an automatic payment system only when all deliverables are approved. This system can keep the service available in case of system failure, provide transparency and traceability of deliverables management, and can reduce conflicts between the ordering company and the contractor through automatic payment. In this system, the information of deliverables is stored in the blockchain, and the deliverables that their file name is the hash value calculated by using the version information and the hash value of the previous version deliverable, are stored in the SFTP server. Experimental results show that the hash value of the deliverables registered by the contractor is correct, the file name of the deliverables stored in the SFTP server is the same as the hash value registered in the Ethereum blockchain, and the payment is made automatically to the Ethereum address of the contractor when all deliverables are approved.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.597-603
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• 2023

The paradigm of military operations has evolved from platform-centric warfare to network-centric warfare and further to information-centric warfare, driven by advancements in information technology. In recent years, with the development of cutting-edge technologies such as big data, artificial intelligence, and the Internet of Things (IoT), military operations are transitioning towards knowledge-centric warfare (KCW), based on artificial intelligence. Consequently, the military places significant emphasis on integrating advanced information and communication technologies (ICT) to establish reliable C4I (Command, Control, Communication, Computer, Intelligence) systems. This research emphasizes the need to apply data mining techniques to analyze and evaluate various aspects of C4I systems, including enhancing combat capabilities, optimizing utilization in network-based environments, efficiently distributing information flow, facilitating smooth communication, and effectively implementing knowledge sharing. Data mining serves as a fundamental technology in modern big data analysis, and this study utilizes it to analyze real-world cases and propose practical strategies to maximize the efficiency of military command and control systems. The research outcomes are expected to provide valuable insights into the performance of C4I systems and reinforce knowledge-centric warfare in contemporary military operations.

• Journal of the Economic Geographical Society of Korea
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• v.26 no.3
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• pp.202-222
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• 2023

This study traces the growth and changes in the spatial distribution and characteristics of media cluster in Seoul by focusing on the co-evolution of film and TV production. To identify the spatial distribution and aggregation of film and broadcast TV production, we measure their spatial auto-correlation based on Moran's I and LISA, using the data from the Census on Establishments of the National Statistical Office. In addition, the eleven semi-structured interviews conducted with workers in the media industries, such as film crews and TV drama producers, help to clarify the complexity and dynamics of diverse factors that affect spatial distribution of media cluster. This multi-method study shows the increasing polycentricity of media cluster in the last decade. Gangnam, Mapo, Yeouido, Gangseo-Yeongdeungpo, and Seongsu have emerged as key hubs for media industries, particularly in light of changes in the transportation system and the real estate market. The finding indicates the co-evolution of film and broadcast TV production, demonstrating how the characteristics of the creative industry and metropolitan changes are intertwined with each other in shaping the geographical pattern of the media cluster.

• Journal of Navigation and Port Research
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• v.47 no.6
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• pp.367-375
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• 2023

This study developed a new distance metric for vessel trajectories, applicable to marine traffic control services in the Korean coastal waters. The proposed metric is designed through the weighted summation of the traditional Hausdorff distance, which measures the similarity between spatiotemporal data and incorporates the differences in the average Speed Over Ground (SOG) and the variance in Course Over Ground (COG) between two trajectories. To validate the effectiveness of this new metric, a comparative analysis was conducted using the actual Automatic Identification System (AIS) trajectory data, in conjunction with an agglomerative clustering algorithm. Data visualizations were used to confirm that the results of trajectory clustering, with the new metric, reflect geographical distances and the distribution of vessel behavioral characteristics more accurately, than conventional metrics such as the Hausdorff distance and Dynamic Time Warping distance. Quantitatively, based on the Davies-Bouldin index, the clustering results were found to be superior or comparable and demonstrated exceptional efficiency in computational distance calculation.

• Journal of the Korean GEO-environmental Society
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• v.15 no.1
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• pp.63-68
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• 2014

In this study, it was found that determined the photocatalytic degradation of antibiotics (lincomycin, LM) with various catalyst composite of titanium dioxide ($TiO_2$), hydroxyapatite (HAP) and germanium (Ge) under UV-A irradiation. At first, various type of complex catalysts were investigated to compare the enhanced photocatalytic potential. It was observed that in order to obtain the removal efficiencies were $TiO_2/HAP/Ge$ > $TiO_2/Ge$ > $TiO_2/HAP$. The composition of $TiO_2/HAP/Ge$ using a statistical approach based on mixture analysis design, one of response surface method was investigated. The independent variables of $TiO_2$ ($X_1$), HAP ($X_2$) and Ge ($X_3$) which consisted of 6 condition in each variables was set up to determine the effects on LM ($Y_1$) and TOC ($Y_2$) degradation. Regression analysis on analysis of variance (ANOVA) showed significant p-value (p < 0.05) and high coefficients for determination value ($R^2$ of $Y_1=99.28%$ and $R^2$ of $Y_2=98.91%$). Contour plot and response curve showed that the effects of $TiO_2/HAP/Ge$ composition for LM degradation under UV-A irradiation. And the estimated optimal composition for TOC removal ($Y_2$) were $X_1=0.6913$, $X_2=0.2313$ and $X_3=0.0756$ by coded value. By comparison with actual applications, the experimental results were found to be in good agreement with the model's predictions, with mean results for LM and TOC removal of 99.2% and 49.3%, respectively.

• Korean Journal of Environment and Ecology
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• v.30 no.1
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• pp.118-129
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• 2016

The purpose of this study was to offer the preliminary data for the development of forest therapy program. This exploratory study is about the development of forest healing program by identifying what is the forest healing program preferences of potential consumers and would be an important basis for the operation. The survey of interests and needs of 620 people on the forest therapy was analyzed. Using SPSS 21.0 program, statistical analysis, frequency analysis, T-test, One-way ANOVA, we looked at the differences in forest healing program preferences according to gender, age, occupation. Forest therapy program preference was found to vary depending on sex, age and job. First, according to gender, men preferred athletic in the forest and camping compared to women, and women showed a higher preference than men in the overall program. Second, depending on age, as compared to other age, for 20s; stress assessment & diagnosis, cooking in the forest, photo therapy in the forest, for 30s; walking in the forest, counseling, listening to lectures(stress-related or interpersonal relationships-related), communication-related lectures and vision quest, for 40s; meditation, viewing the forest, forest bathing wind bathing sun bathing, walking on barefoot in the forest, for 50s; breathing breathing exercises, yoga, mountaineering, climbing in silence, eating wild food, respectively, each of those programs were especially favored. Third, the forest healing program preference in accordance with the job is as follows. For students; stress assessment & diagnosis, cooking in the forest, etc., for teachers; walking in the forest, mountaineering, reading in the forest, viewing the forest, forest bathing wind bathing sun bathing, camping etc., for housewives; yoga, listening to the sound of water flowing, drinking herbal tea, eating wild food, for specialist researcher; breathing breathing exercises, climbing in silence, meditation, sleeping in the forest, respectively, each of those programs were especially favored. We expect the results of this study to be utilized as basic data for the development of forest therapy program targeting on adults.