• The Korean Journal of Food & Health Convergence
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• v.7 no.1
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• pp.1-5
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• 2021

The purpose of this study was to investigate the degree of recognition, perceived usefulness, and intention to accept the Internet of Things (IoT) in healthcare among nursing students, as well as to determine related factors. Through this study, we wanted to develop the basic research for the education related to the IoT in healthcare. In this study, data were collected from 348 nursing students using self-report online questionnaires, Naverform, and analyzed using the independent sample t-test, one-way analysis of variance, and Pearson correlation coefficients in SPSS version 26.0. The results of the study show that recognition of the IoT was correlated with its perceived usefulness (r=0.37; p<.001) and intention to accept the IoT (r=0.23 (p<.001). The strongest correlation was found between perceived usefulness of the IoT and intention to accept (r=0.67; p<.001). In conclusion, recognition of the IoT in healthcare affected its perceived usefulness, and a significant correlation was found between perceived usefulness of the IoT and intention to accept it. This study analyzed how much recognition, perceived usefulness, and intention to accept IoT in healthcare nursing students have. Based on these findings, we suggest that education related to the IoT in healthcare should be incorporated into the nursing curriculum.

• International Journal of Computer Science & Network Security
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• v.23 no.11
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• pp.149-161
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• 2023

Internet of Things (IoT) is a relatively new concept that has gained immense popularity in a short period of time due to its wide applicability in making human life more convenient and automated. As an illustration: the development of smart homes, smart cities, etc. However, it is also accompanied by a substantial number of risks and flaws. IoT makes use of low-powered devices, so secure, less time-consuming and energy-intensive transmission (routing) of messages due to the limited availability of energy is one of the many and most significant concerns for IoT developers. The following paper presents a trust-based routing scenario for the Internet of Things (IoT) that exploits the past transmission record from the cupcarbon simulator's log files. Artificial Neural Network is used to quantify knowledge of trust, calculate the value of trust, and share this information with other network devices. As a human behavioural pattern, trust provides a superior method for making routing decisions. If there is a tie in the trust values and no other path is available, the remaining battery power is used to break the tie and make a forwarding decision; this is also seen as a more efficient use of the available resources. The proposed algorithm is observed to have superior energy consumption and routing decisions compared to conventional routing algorithms, and it improves the communication pattern.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.59-67
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• 2023

The healthcare industry continues to adopt and integrate smart technology in its operations, from medical devices to managing operations. However, the adoption curve has not been smooth, and the historical record of technology adoption in the Kingdom of Saudi Arabia reveals the existence of both known and unknown issues. This review paper is aimed to explain the influences and barriers present in the Saudi healthcare sector affecting IoT technology adoption. A comprehensive discussion of the literature illustrated that Vision 2030, the privatisation trend, transformation in disease patterns and ageing, issues in management and increasing public awareness are the key drivers that may influence the need for the medical Internet of Things (mIoT) in Saudi healthcare. However, based on the past trend, the introduction and adoption of mIoT will likely experience issues such as noncompliance from doctors and nurses due to negative beliefs, lack of knowledge and inadequate perception of effort requirements. Thus, in-depth research of the factors associated with mIoT technology adoption is suggested for a smooth transition.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.371-375
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• 2018

Objectives: To successfully introduce an Internet of Things (IoT) system in the hospital environment, this study aimed to identify issues that should be considered while implementing an IoT based on a user demand survey and practical experiences in implementing IoT environment monitoring systems. Methods: In a field test, two types of IoT monitoring systems (on-premises and cloud) were used in Department of Laboratory Medicine and tested for approximately 10 months from June 16, 2016 to April 30, 2017. Information was collected regarding the issues that arose during the implementation process. Results: A total of five issues were identified: sensing and measuring, transmission method, power supply, sensor module shape, and accessibility. Conclusions: It is expected that, with sufficient consideration of the various issues derived from this study, IoT monitoring systems can be applied to other areas, such as device interconnection, remote patient monitoring, and equipment/environmental monitoring.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.449-456
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• 2019

SMART home is one of the most popular applications of Internet-of-Things (IoT) technologies, which is expanding in terms of range of applications. SMART home technology provides convenience at home by connecting household appliances to a single network, control, and management. However, many general home appliances do not support the network functions yet; hence, enjoying such convenient technology could be difficult, and it could be expensive in the beginning to build the framework. In addition, even though products with SMART home technologies are purchased, the control systems could differ from device to device. Thus, in this paper, we propose a SMART home framework, called an S-mote that can operate all the IoT functions in a single application by adding an infrared or radio frequency module to general home appliances. The proposed framework is analyzed using four types of performance tests by five evaluators. The results of the experiment show that the SMART home environment was implemented successfully and that it functions appropriately, without any operational issues, with various home appliances, including the latest IoT devices, and even those equipped with an infrared or radio frequency module.

• Journal of Information Processing Systems
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• v.16 no.4
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• pp.743-749
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• 2020

Internet of Things (IoT) is a growing technology along with artificial intelligence (AI) technology. Recently, increasing cases of developing knowledge services using information collected from sensor data have been reported. Communication is required to connect the IoT and AI, and 5G mobile networks have been widely spread recently. IoT, AI services, and 5G mobile networks can be configured and used as sensor-mobile edge-server. The sensor does not send data directly to the server. Instead, the sensor sends data to the mobile edge for quick processing. Subsequently, mobile edge enables the immediate processing of data based on AI technology or by sending data to the server for processing. 5G mobile network technology is used for this data transmission. Therefore, this study examines the challenges, opportunities, and solutions used in each type of technology. To this end, this study addresses clustering, Hyperledger Fabric, data, security, machine vision, convolutional neural network, IoT technology, and resource management of 5G mobile networks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.417-419
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• 2016

Internet of things(IoT) services should be available to provide unattended operation in a remote area, long battery life, low-cost infrastructure, two-way communication platform. Urban transit in Busan is made up of the wire-based infrastructure except for voice infrastructure of transmit/receive and new data infrastructure is required for Internet of things(IoT) services. Urban transit environments in Busan were analyzed in order to apply LoRa Wireless Network(the standard communication way of IoT) and proposes a building after a Disaster Evacuation System.

• Proceedings of the Korean Society of Computer Information Conference
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• 2016.01a
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• pp.129-132
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• 2016

IT분야의 하드웨어 발달에 따라 저전력, 저가 및 센싱 및 통신이 가능한 IoT 디바이스들 출시 되고, 이를 이용한 새로운 솔루션 제품들이 출시되면서 IoT 시장 규모가 급격히 확대 되고 있다. 본 논문에서는 이러한 IoT 기기들의 연동을 통한 시너지 효과를 극대화 할 수 있는 상황 인식 추론 시스템의 설계 및 구현에 대해 서술한다. 해당 시스템은 상황 인식을 위한 상황 정보를 기존의 상황 인식 시스템과는 달리 클라이언트 기기에서 규격화 하여 서버로 전송한다. 이러한 이기종 데이터의 규격화는 RDF 문서의 정보 표기 방법인 Triple을 이용해 이루어진다. 이후, 서버로 전송된 상황 정보는 추론 엔진을 통해 현재 상황에 대한 추론 결과를 도출하고, 사용자에 의해 입력된 룰을 기반으로 상황에 적합한 서비스를 제공한다. 해당 시스템의 정상 동작 확인 여부를 위해, 본 논문에서는 방범 시나리오를 설정하여 테스트를 진행하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.537-547
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• 2023

As Internet of Things (IoT) technology evolves, IoT devices are being utilized in a variety of fields. However, it has become a new surface of cyber attacks and is affecting industries that did not previously consider cyber breaches. After a intrusion occurs, post-processing and damage spread prevention are important, but it is difficult to respond due to the lackof standards and guidelines. Therefore, in order to respond to such incidents, this paper establishes an incident data collection procedure and presents the data that can be collected to improve the intrusion data acquisition method for general IoT devices. In addition, we proved the efficiency and feasibility of the data collection procedure through experiments.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.3
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• pp.142-147
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• 2020

The Internet of Things is valuable as a means of solving social problems such as personal, public, and industrial. Recently, the application of IoT technology to the healthcare industry is increasing. It is important to ensure reliability and security in IoT-based healthcare services. Communication protocols, wireless transmit/receive techniques, and reliability-based message delivery are essential elements in IoT healthcare devices. The system was designed and implemented to measure body temperature and activity through body temperature and acceleration sensors and deliver them to the oneM2M-based Mobius platform.