• International Journal of Internet, Broadcasting and Communication
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• v.9 no.1
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• pp.42-49
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• 2017

Despite the government's various safety measures, the number of safety accidents continues to rise and the interior is more likely to occur indoors than outdoors. Safety accidents involving young children account for more than 70 % of the safety accidents in the safety accidents, and the ratio of safety accidents in the classroom or classroom is more than 50 %. In this thesis the author proposes the system managing the accidents notification service using LED lighting and access entry control. Utilizing IoT technology, remote control or access can be controlled remotely by controlling multiple lights and entrances from each room and by means of a number of lighting and entrances. By monitoring and analyzing real-time status via server PC and mobile interface, it can control the maximum control and incident prevention, automatic control, and automatic control.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.2
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• pp.376-383
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• 2016

In this paper, the blue-green algae monitoring program of applying IoT(Internet of things) technologies is designed and implemented that can check out the status of the river's water quality in real time. The proposed system is to extract the image data from the camera of raspberry pi by an wireless network, and it is analyzed through the HSV color model. We measure the temperature using a DS18B20 1-wire temperature sensor. The extracted information of image data and temperature is then analyzed in C and Python programs for use with Raspberry Pi. The XML data in PHP program is made from the analyzed information and provides Web services. It also allows to refer the XML data using mobile devices.

• Annual Conference of KIPS
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• 2018.05a
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• pp.85-87
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• 2018

Motivating by two promising technique of 5G, namely D2D and Edge computing, and the above mentioned problem of the current joint studies, We believe that more study is needed on the benefits of joining these two techniques in a single framework by more precisely taking into account the energy needed to computation, sending data, receiving data and as a result achieving more realistic energy efficiency in 5G cellular networks.

• Annual Conference of KIPS
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• 2015.04a
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• pp.645-648
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• 2015

ICT 시대를 맞아 하루가 다르게 새로운 기술이 등장하고 있으며, 최근에는 사물인터넷 시대까지 도래하였다. 하지만 현재 사물인터넷에서 폭발적으로 발생되는 시계열 데이터를 분석하는 연구는 미비한 상태이다. 따라서 본 논문에서는 사물인터넷에서 발생되는 시계열 데이터의 예측 정확도 향상을 위해 사계절이 뚜렷한 우리나라의 계절성 특성을 고려한 SARIMA알고리즘과 비선형 특성 예측 알고리즘인 SVM을 결합한 하이브리드 SARIMA-SVM알고리즘을 제안 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.884-885
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• 2014

The use of Radio Frequency Identification technology (RFID) in medical context enables not only drug identification, but also a rapid and precise identification of patients, physicians, nurses or any other health care related staffs. The combination of RFID tag identification with structured and secured Internet of Things (IoT) solutions enables ubiquitous and easy access to medical related records, while providing control and security to all interactions. This paper surveyed a basic security architecture, easily deployable on mobile platforms, which would allow to establish and manage a medication prescription service in mobility context making use of electronic personal health records.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.63-66
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• 2022

The article discusses the application of the IoT concept in the sensitive field of medical devices on the example of a developed prototype of a mechanotherapeutic simulator. Mechanotherapy is a complex of therapeutic, preventive, and restorative exercises conducted using simulators, specially designed for developing movements in individual joints. Mechanotherapy is used for the early and painless restoration of joint mobility, to prevent complications associated with prolonged immobilization of the injured area of extremities. Using the mechanotherapy simulator allows developing the joint painlessly, which accelerates the metabolism in the injured area, and soft tissues are restored to normal. The article provides information about the electronic components that ensure the wireless operation of the device and describes in detail the applied software as well as the client application for a mobile device.

• Annual Conference of KIPS
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• 2022.11a
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• pp.344-346
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• 2022

본 논문에서 거푸집의 가장취약 부분인 접합부위에 로드센서를 부착하여 실시간 콘크리트 측압을 측정 할 수 있으며, 관리자는 모니터링을 통하여 확인 할 수 있도록 하며 LORA의 저전력 장거리 통신망을 사용하는 디바이스를 개발하여 로드센서에 측정한 값을 데이터변경, 웹 기반의 클라우드 서비스로 발송하여 PC 및 Mobile로 확인 할 수 있는 시스템을 구축하였다. 여러가지 센서로부터 데이터를 수신하여 모바일로 송신해 주는 무선송수신기의 개발을 원하고 있으며, 하중센서, 경사도센서, 풍향센서 등 다중 데이터값을 수신할 수 있어야 한다. 이렇게 구성된 센서와 데이터의 수신을 통해서 콘크리트 타설시 발생하는 측압을 측정하고 공사기간 동안 별도의 전원 공급 없이 작동이 유지될 수 있는 시스템을 구축하였다. 수요자가 Application과 호환이 이루어져야 하며 또한 MEMS센서를 이용하여 상태를 모니터링 하고 임계값을 지정하여 이상 신호 발생시 위험상황에 대해서 인공지능기법을 이용하여 관리자에게 알림을 주어 효과적으로 사용할 수 있는 시스템을 개발하였다.

• KIISE Transactions on Computing Practices
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• v.21 no.3
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• pp.215-222
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• 2015

In this paper, the Digital DoorLock by Internet of Things (DDiT) is introduced. In order to implement DDiT, an integrated micro-controller platform, Arduino is used to control an existing digital doorlock and an android type smart phone is adopted as a mobile platform. One of the advantages of DDiT is that it can be added to an existing digital doorlock and a smart phone application is used as a digital key. Owing to the smart phone application, several other types of applications could also be made. Therefore, DDiT could be used effectively and conveniently in ordinary homes as well as in high security applications such as in hotels, institutes, and companies.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.235-245
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• 2023

Smart applications based on the Network of Everything also known as Internet of Everything (IoE) are increasing popularity as network connectivity requires rise further. As a result, there will be a greater need for developing 6G technologies for wireless communications in order to overcome the primary limitations of visible 5G networks. Furthermore, implementing neural networks into 6G will bring remedies for the most complex optimizing networks challenges. Future 6G mobile phone networks must handle huge applications that require data and an increasing amount of users. With a ten-year time skyline from thought to the real world, it is presently time for pondering what 6th era (6G) remote correspondence will be just before 5G application. In this article, we talk about 6G dreams to clear the street for the headway of 6G and then some. We start with the conversation of imaginative 5G organizations and afterward underline the need of exploring 6G. Treating proceeding and impending remote organization improvement in a serious way, we expect 6G to contain three critical components: cell phones super broadband, very The Web of Things (or IoT and falsely clever (artificial intelligence). The 6G project is currently in its early phases, and people everywhere must envision and come up with its conceptualization, realization, implementation, and use cases. To that aim, this article presents an environment for Presented Distributed Artificial Intelligence as-a-Services (DAIaaS) supplying in IoE and 6G applications. The case histories and the DAIaaS architecture have been evaluated in terms of from end to end latency and bandwidth consumption, use of energy, and cost savings, with suggestion to improve efficiency.