• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.4
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• pp.904-914
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• 2017

For efficient energy usage, the concept of demand response has been emerged and thereby Open Automated D emand Response(OpenADR) protocol is developed as a standard protocol to provide automated demand response. There have been emerging trends on the demand response services using the Internet of Things(IoT) for smart h ome energy management. In this smart home energy IoT environment, a lightweight protocol is needed rather tha n the existing HTTP/ XML based OpenADR protocol for demand response services since many small devices wi ll be interconnected. In this paper, we propose a lightweight OpenADR protocol based on CoAP protocol for pro viding demand response service in Smart Energy IoT environment, implement the proposed CoAP-based protocol, and analyzed the performance compared to existing HTTP/ XML-based OpenADR 2.0b protocol.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.221-228
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• 2018

Big data is an important keyword in World's Fourth Industrial Revolution in public and private division including IoT(Internet of Things), AI(Artificial Intelligence) and Cloud system in the fields of science, technology, industry and society. Big data based on services are available in various fields such as transportation, weather, medical care, and marketing. In particular, in the field of sports, various types of bio-signals can be collected and managed by the appearance of a wearable device that can measure vital signs in training or rehabilitation for daily life rather than a hospital or a rehabilitation center. However, research on big data with vital signs from wearable devices for training and rehabilitation for baseball players have not yet been stimulated. Therefore, in this paper, we propose a system for baseball infield and outfield players, especially which can store and analyze the momentum measurement vital signals based on big data.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.177-183
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• 2016

Augmented Reality(AR) has been further developed through connectivity with Artificial Intelligence (AI), Big Data, the Internet of Things(IoT). The interest of AR in the advertising is on the increase. However, it needs to explore the use of AR technology in advertising based on user experience rather than the technical aspects. This study is very significant in that it is the exploratory study which provides guidelines in the field of utilizing AR, particularly based on direct user experience. In addition, through a quantitative survey, it checks the validity of the present study to verify the impact of utilitarian, experiential value of AR ad on brand attitude as consumer attitude. The characteristics of AR ad based on user experience through this study will provide guidance to utilize AR ad, utilizing AR technology in various fields, such as education and exhibitions in developing convergence contents that can provide practical value.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.509-512
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• 2018

최근 미세먼지에 대한 관심이 높아지고 있으며, 미세먼지를 줄이기 위한 다양한 기술이 연구되고 있다. 본 연구에서는 기존 가솔린 이륜차의 단점을 극복하고 미세먼지 발생을 줄일 수 있는 배터리 교환식 이륜차 및 IoT 기반 지원시스템을 소개한다. 전기 이륜차에 탑재되는 IoT Edge device에서는 배터리 잔량, 배터리 ID, 위치 정보 등의 정보를 LTE-M 통신을 통해 IoT 클라우드에 전송하고, 배터리 교환이 필요한 경우 주변의 배터리 교환기 위치 및 교환 가능한 배터리 정보 전달 받을 수 있다. 현재 전기이륜차에 탑재될 IoT Edge device 및 사용자용 스마트폰앱을 개발하고 있으며, 배터리 교환기 및 클라우드 서비스 개발도 수행될 예정이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1106-1108
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• 2017

현재 규모가 작은 이름바 '동네 병원'에서는 환자관리의 어려움과 동네 병원의 특성상 병원 자체적인 예약 서비스를 실시하지 않는 병원이 많다. 또한 환자는 기다리는 환자들이 많은 시간에 방문하는 경우, 병원 안에서 자신의 순번을 마냥 기다리는 경우가 빈번하게 발생한다. 이와 같은 불편들 때문에 간호사는 고객에게 간호업무 이외에도 정신적인 서비스를 제공해야 하며, 환자들은 자신의 순번이 오기만을 하염없이 기다리는 등의 불필요한 시간 소모가 크고 자신의 앞에 대기하고있는 환자가 많으면 병원이 어수선하고 앉을 자리조차 없이 서서 기다리는 경우도 허다하다. 이런 불편함들을 조금이나마 해결해주고자 본 논문에서는 저전력 블루투스 (BLE) 기술 기반의 비콘(Beacon)을 활용하여 스마트폰을 이용해 병원 내부적인 예약 서비스가 없어도 자체적인 예약 서비스와 이용자가 스마트폰을 가지고 병원에 들어가기만 해도 자동으로 병원 진료접수를 진행하고 이를 효과적으로 관리할 수 있는 사물인터넷 기반 병원 대기시간 최적화 서비스와 그 핵심 알고리즘을 제안한다. 이를 이용하면 간호사는 이전보다 간호업무에 더 집중할 수 있게 되고, 환자는 북적거리는 병원 대기실에 앉아서 기다리지 않고 실외로 나가 자신의 업무를 보고 진료시간에 맞춰서 돌아와 진료를 받는 '사람이 많아도 한적해 보이는 스마트 병원'을 만들 수 있을 것이라 본다.

• Journal of Convergence for Information Technology
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• v.10 no.11
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• pp.23-29
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• 2020

As IoT devices increase exponentially, minimizing MIMO interference and increasing transmission capacity for sending and receiving IoT information through multiple antennas remain the biggest issues. In this paper, secret key-level distribution mechanism using deep learning is proposed to minimize MIMO-based IoT communication noise. The proposed mechanism minimizes resource loss during transmission and reception process by dispersing IoT information sent and received through multiple antennas in batches using deep learning. In addition, the proposed mechanism applied a multidimensional key distribution processing process to maximize capacity through multiple antenna multiple stream transmission at base stations without direct interference between the APs. In addition, the proposed mechanism synchronizes IoT information by deep learning the frequency of use of secret keys according to the number of IoT information by applying the method of distributing secret keys in dimension according to the number of frequency channels of IoT information in order to make the most of the multiple antenna technology.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.875-886
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• 2016

In this study, we investigate an influence of the China government's software support policy on the revenue of software export. In the analysis in the areas of technology development, manpower development, quality control and marketing reinforcement from 2008 to 2014, it has been found that the amounts of the policy influence and annual revenue of software export increase simultaneously, proving that the China government's support policy has a close relationship with the software export revenue. However, the annual ratio of the software export revenue to the gross software production revenue has decreased over the period, which indicates that the growth of software industry in China has been mainly driven by domestic market.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.6
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• pp.1387-1399
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• 2016

In a hyper-connected society realized through IoT-enabled technology, a large amount of data is collected by various devices and is processed to provide new services to users. While communicating through a network, it is essential for devices to execute mutual authentication since users' privacy can be infringed by malicious attackers. ID-based signature enables authentication and key exchange with a unique ID of a device. However, most of the previous ID-based signature schemes based on RSA require an additional step to share parameters for key exchange so that they are not suitable for resource-constrained devices in terms of efficiency. In this paper, we design an efficient ID-based signature and thereby propose an efficient ID-based authentication and key exchange protocol in which sessions for both an authentication and a key exchange are executed simultaneously. In addition, we prove the security of our scheme under the RSA onewayness problem and analyze the efficiency by comparing with the previous schemes.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.607-608
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• 2016

Recently using a variety of sensors sensing the virtual(Virtual Sensing) technology that extracts specific data has been applied to IoT service interface. The utilization of such sensors while increasing IoT (Internet of Things) environmental sensor is an essential element. However, used in the IoT to the environment, while the increase in utilization of a specific sensor utilization falling sensors is generated. In this paper, we design unnecessary sensors removal algorithm as a way to solve this problem. Through the utilization of poor power to block the sensor can reduce the power consumption and user sensor control service through the monitoring by blocking the use of the sensor is considered that there can be provided a more effective and convenient.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.750-753
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• 2017

Recently, the processing and utilization of big data, which is generated by the spread of smartphone, SNS, and the internet of things, is emerging as a new growth engine of ICT field. However, in order to utilize such big data, De-identification of personal information should be done. De-identification removes identifying information from a data set so that individual data cannot be linked with specific individuals. De-identification can reduce the privacy risk associated with collecting, processing, archiving, distributing or publishing information, thus it attempts to balance the contradictory goals of using and sharing personal information while protecting privacy. De-identified information has also been re-identified and has been controversial for the protection of personal information, but the number of instances where personal information such as big data is de-identified and processed is increasing. In addition, many de-identification guidelines have been introduced and a method for de-identification of personal information has been proposed. Therefore, in this study, we describe the big data de-identification process and follow-up management, and then compare and analyze de-identification methods. Finally we provide personal information protection issues and solutions.