• Journal of Platform Technology
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• v.9 no.3
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• pp.44-51
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• 2021

In general, golden time refers to the most important time in the initial response to accidents such as saving lives or extinguishing fires. The golden time varies from disaster to disaster, but is aimed at five minutes in terms of fire and first aid. However, for the actual site, the average dispatch time for ambulances is 9 minutes and the average transfer time is 17.6 minutes, which is quite large compared to the golden time. There are various causes for this delay, but the main cause is traffic jams. In order to solve the problem, the government has established emergency car concession obligations and secured golden time to prioritize ambulances in places with the highest accident rate, but it is not a solution in rush hour when traffic is increasing rapidly. Therefore, this paper proposed a deep learning-based emergency vehicle priority signal system using collected sound data by installing sound sensors on traffic lights and conducted an experiment to classify frequency signals that differ depending on the distance of the emergency vehicle.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.135-141
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• 2019

South Korea's smart factory drive is at a very important point. While large-scale funds and manpower are invested to secure international competitiveness and revitalize manufacturing, software investments that are only approached by IT suppliers may end up creating systems that do not meet the actual conditions of the field. As a result, there are problems in the manufacturing sector that can cause consumers to feel the fatigue of innovation in the manufacturing sector. SMEs should check from scratch and establish a gradual integration system so that they can reduce failures in IT investments and implement OT-oriented smart factories that are well utilized in the field. To this end, a process visualization solution was proposed and a step-by-step innovation was proposed at the basic level and the ICT unapplied level.

• Journal of Platform Technology
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• v.10 no.1
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• pp.29-34
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• 2022

The emergence of new diseases such as the Covid 19 pandemic that occurs in the 21st century and the occurrence of health abnormalities according to the busy daily life of modern people are increasing. Accordingly, the importance of health care management and data-based health management is being highlighted, and in particular, interest in personal health management data based on personal health care data of patients is rapidly increasing. In this study, to solve the difficult problems of personal health management, we developed a personal health care platform incorporating IT for self-diagnosis and solution and developed an application that measures bio-signals generated in the human body and transmits them to the platform. A health management system was established. Through this, not only the health care of modern people, but also the psychological and emotional care support needs through psychological and emotional monitoring of the developmentally disabled and the vulnerable who have difficulty in expressing their opinions are to be addressed. In addition, the overall health and living environment data of the individual was integrated to develop an optimized medical and health management service for the individual.

• Journal of IKEEE
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• v.26 no.2
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• pp.219-225
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• 2022

The textile industry in Korea, the dyeing sector is an energy-intensive sector and has low per-unit productivity due to its labor-intensive nature. If the defective rate of dyed fabrics is high, additional costs are incurred due to an increase in production cost due to re-dyeing. Therefore, the goal of the dyeing factory was to minimize the defect rate rather than to save energy. It was difficult to check the dyeing state of the fabric in real time due to the risk of accidents due to burns or pressure when dyeing in a high-temperature and high-pressure environment. In this paper, a complex sensor that can measure the exhaustion rate of dye solution in the dyeing machine using turbidity, pH, and conductivity sensors was proposed, and the experimental method and experimental results were analyzed.

• International Journal of Computer Science & Network Security
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• v.21 no.7
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• pp.257-266
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• 2021

This article examines the features of improving the public management of the market of medical and social services using information technology to improve the efficiency of public activity in modern conditions. The interpretation of the essence of the categories "information technologies" and "information support" is analyzed. The importance of the organization of information support of public authorities in the insurance of the state apparatus of information management for the adoption and solution of state issues of the market of medical and social services has been studied. Issues and system of information support of public management of the market of medical and social services are considered. The stages of the ICT implementation process in the market of medical and social services are described. The tools of state regulation in the market of medical and social services and the introduction of targeted programs for the development of the social sphere and health care are highlighted. Recommendations for improvement are formulated public management of the market of medical services and social way introduction of ICT tools, which provide for the implementation of a set of measures aimed at intellectualizing the entire system public data management spheres. The necessity of development of innovative tools of public management of the market of medical and social services of Ukraine for the purpose of working out of strategies of increase of quality of medical and social services in the XXI century is substantiated. A number of benefits from the implementation of an effective process of application of information support of public management of the market of medical and social services to ensure the efficiency of public authorities of Ukraine. It is proposed to create a "Department of information support of self-government" and electronic health care system (e-Health) to improve the management decision-making process, which will provide an opportunity to accumulate, process, analyze, and as a result, get the expected effect in the form of balanced management decisions by public authorities of Ukraine.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.587-593
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• 2023

In this paper, we propose a systematic design approach based on cavity-mode resonance analysis to improve the radiated susceptibility of cables in air vehicles. As electronic devices equipped in air vehicles substantially increase, enhancing the radiated susceptibility of internal cables becomes more challenging and significant. The proposed design approach provides an efficient method to avoid and suppress cavity-mode resonances using analytical methods to estimate the resonance frequencies and the current ratio induced by the cavity-mode resonances. It is demonstrated in simulated results that the proposed method offers a design solution for improving the radiated susceptibility and reduces the computation time by up to 99.6% compared to the previous design method.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.133-140
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• 2012

This study starts from interests on an endeavor of each economy unit, especially the enterprises, for the survival and sustainability of themselves. Competition, how to get it, maintain it and advance it! Agreeing the perceivedness of industries, scholars and public; what the core competition of manufacturer is an competitiveness of product, this study focuses on the PLM system as the key solution for obtaining the competitiveness of product with reviewing the contents and studies of PLM formulated. PLM is highlighted as the one of top tier ICT solution for the product development domain of manufacturing industry today. First of all, this study deals with the opinion of actual work-site and management of our small&medium business for the benefits of PLM based on product development; the impact on the performances of management, which is the key objective of the existence of enterprises. In conclusion, the answers for these questionnaires shows positive perception of actual work-sites and managers for the PLM system. They agree some useful effects on shortening the term and downsizing the cost of product development due to Data integration and Process management, even if they have not full confidence on the effectiveness of the individual functionality of the PLM system.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.427-439
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• 2014

Introduction of new information systems due to continuous progress of ICT has made the enterprise IT environment into a mixed pot of various IT resources. Rapidly changing business situation has emphasized the integration of organizational IT resources as one of key competitive advantages. Those distributed IT resources are now demanding to solve the problems not only on their own effective management but also on security and control issues against unauthorized infiltration and information leakages. Under the situation that the number of IT resources is constantly increasing, it is needed to study a management model and its implementation that integrally solves above all problems. In this paper, it is revealed that a directory service can be used to integrally manage distributed IT resources and a directory service based system model for distributed IT resource management is suggested. By implementing an HR solution over active directory service, it is demonstrated that our integrated management model for distributed resources is applicable to real business cases. It is expected that for small and medium sized enterprises with limited IT investments, directory service based IT resource management system can be a cost-effective solution for increasing security threats and lack of governance.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.4
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• pp.5-10
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• 2022

After ginseng seeds were planted in sand, the first experiment was conducted by germinating seeds with a nutrient concentration of 0 to 2.5. The average germination rate was highest in EC 1.0 with a nutrient concentration of 87%, followed by the comparative group with EC 1.5, 82%, EC 2.0, 78%, EC 2.5, 72%, EC 0.5, 71%, and con, 68%. Ginseng seeds were sown in the sandy soil, grown for 60 days were transferred to the ginseng soil, and the second growth experiment was conducted 30 days later. As a result of the experiment, at the nutrient concentration of EC 1.5, it grew from 11.64cm to 15.54cm, the average total length(cm)increased the most from 3.90cm. At the EC 1.0, nutrient concentration, the average total weight(g)increased the most from 0.42g to 0.75g to 0.33g. At the EC 0.5, nutrient concentration, the average total root width(mm) increased the most from 4.06mm to 5.52mm to 1.46mm.

• Journal of Platform Technology
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• v.10 no.4
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• pp.47-55
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• 2022

Recently, diverse devices using different wireless technologies are gradually increasing in the IoT environment. In particular, it is essential to design an efficient feature extraction approach and detect the exact types of radio signals in order to accurately identify various radio signal modulation techniques. However, it is difficult to gather labeled wireless signal in a real environment due to the complexity of the process. In addition, various learning techniques based on deep learning have been proposed for wireless signal classification. In the case of deep learning, if the training dataset is not enough, it frequently meets the overfitting problem, which causes performance degradation of wireless signal classification techniques using deep learning models. In this paper, we propose a generative adversarial network(GAN) based on data augmentation techniques to improve classification performance when various wireless signals exist. When there are various types of wireless signals to be classified, if the amount of data representing a specific radio signal is small or unbalanced, the proposed solution is used to increase the amount of data related to the required wireless signal. In order to verify the validity of the proposed data augmentation algorithm, we generated the additional data for the specific wireless signal and implemented a CNN and LSTM-based wireless signal classifier based on the result of balancing. The experimental results show that the classification accuracy of the proposed solution is higher than when the data is unbalanced.