• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2546-2553
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• 2015

Falling can happen to anyone, anywhere at anytime and especially it is one of the risk factor that can lead causes of death of persons aged 65 and over. Recently, the study of fall detection mechanisms as a smart healthcare service based on the IoT(Internet of Things) are being actively investigated. In this paper, we implement a fall detection system using arduino as a smart sensor communicates with a smart device. When transmitting the information of the acceleration on a sensor smart sensor with a BLE(Bluetooth Low Energy), the smart device processing and analyzing this information. and determines a fall situation. A fall detection system based on the Internet of Things which using smart sensor and smart device, has the advantage of being able to overcome the mobility and portability constraints.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.219-221
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• 2022

현재 사물인터넷 플랫폼이 활발히 개발됨에 따라, 이를 기반으로 사용자에게 많은 서비스가 제공되고 있다. 그러나 플랫폼들이 독자적으로 개발되고 있어 상호운용이 보장되지 못하고 있는 상황이다. 특히, 플랫폼마다 리소스를 표현하는 방식이 서로 불일치하여 리소스가 공유되더라도 이기종 플랫폼의 사용자는 리소스를 사용할 수 없는 문제가 있다. 더욱이 각각의 플랫폼들이 다양한 접근제어 모델을 사용함에 따라, 이기종 플랫폼의 사용자가 리소스 접근을 요청하더라도 인증/인가를 수행할 수 없는 상황이다. 결과적으로, 이러한 상호운용성 문제는 사물인터넷의 주요 목적인 초연결성을 달성하는 데 한계를 가져오고 있다. 이에, 본 논문에서는 이기종 사물인터넷 플랫폼 간의 상호운용이 가능한 속성기반 접근제어 프레임워크를 제안하고자 한다. 본 프레임워크는 MDR(Metadata Registry)를 기반으로 속성기반 접근제어를 위한 속성 불일치 문제를 해결하고 허가형 블록체인을 이용하여 속성기반 접근제어를 사용하지 않는 플랫폼이라도 접근제어에 대한 상호운용을 달성할 수 있도록 한다.

• 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 Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.151-155
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• 2017

With the rapid growth of the up-to-date wireless network and Internet technologies, huge and various types of things around us are connected to the Internet and build the hyper-connected society, and lots of smart applications using these technologies are actively developed recently. IoT connects human, things, space, and data with various types of networks to construct the hyper-connected network that can create, collect, share and appling realtime information. Furthermore, most of the smart applications are concentrated on the service that can collect and store realtime contexts using various sensors and cloud technology, and provide intelligence by making inferences and decisions from them nowadays. In this paper, we design a smart application that can accurately control and process the current state of the specific context in realtime by using the state-of-the-art ICT techniques such as various sensors and cloud technologies on the IoT based mobile computing environment.

• KIISE Transactions on Computing Practices
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• v.22 no.6
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• pp.268-277
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• 2016

IoT (Internet of Things) technologies have largely contributed to our smart living environment. The smart parking system is one of the prominent services that IoT supports. To identify the parked vehicles, the previous parking system use special identifying devices, the RFID tags carried by the users, and the high quality camera to recognize the vehicle license numbers. However, the previous methods cause cost inefficiency and unfriendly usages. To address these problems, we propose a smart parking system based on ultrasonic sensors and Bluetooth communication. The proposed system decides the available slots by using the sensor motes located in the parking spaces. Also it recognizes the location of the parked vehicle using Bluetooth RSSI between a Smartphone and the sensor motes. In addition, based on these converging technologies, it can support the parked routes of vehicles for users. To evaluate the implemented smart parking system, we applied the RSSI transform equations and the recognition rate for parked vehicles. As a result, the accurate rate of transformed distances could be measured.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.49-65
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• 2018

The purpose of the research is to identify the effects of brand evidence, brand personality and negative factors on extended brand trust and customer purchase intention in IoT (Internet of Things) service. Negative factors include scarcity marketing and privacy concern. To achieve this objective, we analyzed the 269 respondents who had used Xiaomi products at least more than once. The results of this study are as follows: First, it was found that core service, self-image congruence of brand evidence and brand personality has a positive influence on extended brand trust. But, perceived price of brand evidence is not related to extended brand trust. Secondly, Scarcity marketing influenced extended brand trust. But, Privacy concern is not related to extended brand trust. Consumers did not realize privacy because of technological innovation of IoT. Thus, the research has a different significance from antecedent research.

• Journal of Broadcast Engineering
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• v.21 no.3
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• pp.298-306
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• 2016

With the advent of Internet of Things (IoT) technology that allows the communications between things and devices over the Internet, a lot of researches on the IoT services, such as smart home or healthcare, have been progressed. In the existing machine-to-machine (M2M) communications, however, since the underlying link-layer technologies, such as Bluetooth or ZigBee, do not use the Internet Protocol (IP) communication, those technologies are not suitable to provide the IoT services. Accordingly, this paper discusses how to provide the Internet services in the M2M communication, and propose an implementation of the Constrained Application Protocol (CoAP) over 6LoWPAN for providing IoT services in the BLE networks. Based on the implementation, we compared the performance between HTTP and CoAP for IoT communications. From the experimental results, we can see that the CoAP protocol gives better performance than the HTTP protocol with two times higher throughput, 21% faster transmission time, and 22% smaller amount of generated packets.

• KIISE Transactions on Computing Practices
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• v.22 no.12
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• pp.687-692
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• 2016

The advent of Internet of Things(IoT) has increased the need for development of smart life based on Information and Communication Technology(ICT). By using IoT technology, we are able to control connected appliances using smart devices, such as smart phone. To support the smart life, there is a need to utilize emotion information for human behavior, based on both biorhythm and environment information. Research towards this goal suggests a smart lamp control system that has an effect on the human emotion. According to the PSI theory, the control system calculates the biorhythm with an algorithm that uses the human biorhythm, weather factors and walking amounts. The smart lamp works with the recommended color lights that can control the feelings and emotions of the user. Here, we will show the effect of physical and mental stability, health care, and accident prevention.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.119-128
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• 2013

As ICT technology becomes advanced, the importance of future internet is emphasized and in part of that, M2M (Machine-to Machine communications) is magnified in terms of importance and usage in public and private sector. M2M is emerging as a next generation strategic industry but there is no existing analyzed data or market classification, so it disrupts establishing policies on the M2M industry. As the technology is progressing, the evolution from M2M to IoT (Internet of Things) has started and many countries actively try to find technological trend through market analysis in order to develop new growth engine. Therefore, in order to strengthen competitiveness, we should secure differentiated capabilities in industry and service. This article examines Korea's domestic market and international market trends in IoT and analyses the economic impact of the IoT industry using quantitative methodology and evaluates relations between the IoT industry and other relevant industries. As a result, the effect of IoT industry on production inducement is KRW474.6 billion; the effect on value-added inducement is KRW314.7 billion; and it is measured that 3,628 jobs will be created by the IoT industry.

• Informatization Policy
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• v.25 no.3
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• pp.29-51
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• 2018

As the core technology of the Fourth Industrial Revolution, the Internet of Things has been developed and has enabled various services, and personal information has been handled freely in the process. However, the infringement threat of personal information is increasing as more convenient services are provided and more information devices including smart devices are connected to the network. Therefore, this study is to analyze prioritizing personal information protection policy indicators in order to provide IoT services by constructing secure environment for implementing the Internet of things as the core technology of the 4th Industrial Revolution. This study reviewed personal information protection policy indicators based on the literature survey, and identified 3 fields, 9 areas, and 25 indicators through Delphi analysis for experts. The weights were calculated based on the AHP survey for 66 experts and the results were used to present the relative importance and priority of the policy indexes. The results of this study found the policy field was the most important, followed by the technical field, and the administrative field. Of the three areas of the policy field, strengthening the personal information protection laws related to IoT is the most important, while among the indicators, promoting and revising the personal information protection law related to IoT is the most important. Comparisons of the fields, areas, and indicators of IoT-related personal information protection policies found consistent values. The personal information protection policy indicators derived this way will contribute to the nation's competitiveness by expanding secure IoT policies in the future.