• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.251-254
• /
• 2018

Research about IoT system that utilizes variation of wireless received signal according to the changing of the surrounding environment are actively being studied. In this paper, firstly we proved that the received signal strength changes according to the ambient temperature variation. Then, we proposed the fire detection scheme by using received signal strength variation when the signal exchange between fixed transmitter and receiver periodically. The proposed scheme consists of the received signal strength change detection unit and the internal receiver temperature detection unit which prevents misunderstanding the received signal strength variation by the changing of wireless channel environment as outbreak of fire. The proposed scheme has the advantage of being able to support the existing receiver through software upgrade without additional device.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.29 no.5
• /
• pp.949-960
• /
• 2019

Due to miniaturization of electronic devices and development of IoT(Internet of Things), embedded system have been used in various field. Meanwhile, there is a potential vulnerability by the insufficient of system's security. In this paper, we implement secure boot using TPM to protect the integrity of embedded system environment. The Suggestion considers the required availability in the embedded system and detects the system's tampering at secure boot process via TPM. In addition, we have reinforced the confidentiality through AES encryption of the kernel at secure boot.

• International Journal of Computer Science & Network Security
• /
• v.22 no.12
• /
• pp.229-238
• /
• 2022

Due to digitization, data has become a tsunami in almost every data-driven business sector. The information wave has been greatly boosted by man-to-machine (M2M) digital data management. An explosion in the use of ICT for farm management has pushed technical solutions into rural areas and benefited farmers and customers alike. This study discusses the benefits and possible pitfalls of using information and communication technology (ICT) in conventional farming. Information technology (IT), the Internet of Things (IoT), and robotics are discussed, along with the roles of Machine learning (ML), Artificial intelligence (AI), and sensors in farming. Drones are also being studied for crop surveillance and yield optimization management. Global and state-of-the-art Internet of Things (IoT) agricultural platforms are emphasized when relevant. This article analyse the most current publications pertaining to precision agriculture using ML and AI techniques. This study further details about current and future developments in AI and identify existing and prospective research concerns in AI for agriculture based on this thorough extensive literature evaluation.

• The Journal of Korean Association of Computer Education
• /
• v.18 no.6
• /
• pp.81-88
• /
• 2015

Along with advent of Web 3.0 era and advanced technologies of IoT(Internet of Things), massive amounts of information are generated. Reflecting this trend, this paper developed a semi-automatic construction tool for named entity dictionary based on active learning. Our proposed method chose error candidates to verify among the preliminary results using initial trained model and re-trained the model for correctly labeled data by user. We adopt active learning approach for minimizing human effort utilized metadata features of Wikipedia. Based on experimental results using our tool, we show that 68.6% errors were automatically corrected.

• Journal of the Korea Society for Simulation
• /
• v.25 no.2
• /
• pp.63-74
• /
• 2016

This research aims to perform the simulation of self-adaptive lighting control software, and to evaluate the performance of the implemented system. In this text, Self-adaptive software means what detects unexpected changes in surrounding environment by self-monitoring during its run-time, and satisfies demanded condition by adjusting its operation. This is a research about the lighting control system which is operating with the fundamental of self-adaptation concept in IoT(Internet of Things) environment. The system, which is proposed in this text, operates adaptation onto the request of a defined user as recognizing the changes of surrounding environment. This text introduces a relating simulation scenario, system architecture, architecture valuation basis,, and executed evaluation of performance by processing simulations.

• Journal of Internet of Things and Convergence
• /
• v.7 no.3
• /
• pp.75-80
• /
• 2021

Since the optimization of the diesel engine for the ship cannot satisfy the NOx emission limit by the method of reducing the NOx emission, it is necessary to reduce the NOx by post-processing the exhaust gas. In this study, we will review the feasibility of designing a binary nozzle and mixing chamber duct for effectively converting the number of elements into NH3 in the oil burner for the SCR catalyst unit integrated duct in the ship under development through the computational heat flow analysis for the velocity distribution and temperature distribution.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2015.01a
• /
• pp.247-250
• /
• 2015

과거 유비쿼터스 기술의 출현 이후로 사물에 간단한 인식 센서를 이용한 형태의 서비스가 널리 보급되었고, 스마트 기기의 발달로 인해 PC가 아닌 환경에서도 인터넷을 사용하기 용이한 환경이 정착되어, 이들을 이용한 사물 인터넷 (Internet of Things) 환경이 빠르게 확산중이다. 본 논문에서는 상황 인식 서비스와 추론 서비스를 사물 인터넷 환경에 적용 시킨 스마트 홈 상황인식 추론 프레임 워크의 설계 및 구현을 서술한다. 해당 프레임 워크는 실질적인 상황 정보를 제공하는 이기종의 사물 인터넷 기기 간 데이터 타입을 수용하기 위해 온톨로지 언어인 OWL 규격을 사용하여 상황 정보를 수용하고, 룰 입력 모듈을 통해 다양한 환경을 모델링 할 수 있는 XML 규격의 서비스 룰을 입력받는다. 이후, 상황 정보와 서비스 룰을 기반으로 추론엔진을 통해 상황을 추론하여, 단순히 조건 만족 시 실행 구조가 아닌 상황 기반의 추론에 의한 서비스를 제공하게 된다. 프레임 워크를 활용 방안을 설명하기 위해 예제 방범 시나리오를 통해 해당 프레임 워크의 특징 및 서비스의 흐름을 서술한다.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.17 no.2
• /
• pp.207-212
• /
• 2022

The rail transport system is developing into a smart railroad that pursues intelligence beyond the automation stage of each component in recent years. Smart railways based on ICT (: Information & Communications Technology) technologies such as IoT (: Internet of Things), big data, deep learning, AI (: Artificial Intelligence), and block chain are expected to cause many developmental changes in domestic and foreign railway technologies. In this paper, we look at the domestic and international standardization trends of railway communication technology, which forms the basis of such smart railway system, and discuss the direction for train control technology(CBTC) in Korea's railway transportation system to become a leading technology(UBTC) in the world railway industry in the future.

• Journal of Information Processing Systems
• /
• v.14 no.1
• /
• pp.162-175
• /
• 2018

Currently, electricity consumption and feedback mechanisms are being widely researched in Internet of Things (IoT) areas to realise power consumption monitoring and management through the remote control of appliances. This paper aims to develop a smart electricity utilisation IoT platform with a deep belief network for electricity utilisation feature modelling. In the end node of electricity utilisation, a smart monitoring and control module is developed for automatically operating air conditioners with a gateway, which connects and controls the appliances through an embedded ZigBee solution. To collect electricity consumption data, a programmable smart IoT gateway is developed to connect an IoT cloud server of smart electricity utilisation via the Internet and report the operational parameters and working states. The cloud platform manages the behaviour planning functions of the energy-saving strategies based on the power consumption features analysed by a deep belief network algorithm, which enables the automatic classification of the electricity utilisation situation. Besides increasing the user's comfort and improving the user's experience, the established feature models provide reliable information and effective control suggestions for power reduction by refining the air conditioner operation habits of each house. In addition, several data visualisation technologies are utilised to present the power consumption datasets intuitively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.10a
• /
• pp.977-980
• /
• 2015

Beacons have been noted in the core of the recent things Internet. It is also the technology is spreading most rapidly among the things Internet-related communication technologies. Beacon is a data communications technology that provides information that is customized to know the user's location. Using the BLE technology, to grasp the position of such people and goods. In addition to the non-contact method, since it is possible to communicate within the maximum 70m, it has attracted the interest than the NFC. Beacon, guidance for the current coupon, you can use as an advertising platform, such as the provision of product information, it has also been used in the indoor positioning service. Therefore, in this paper, we introduce about whether Case Study beacon is utilized how in the Internet of Things, were analyzed. Beacon exit the smart phone, the date to be used in conjunction with a wearable device, such as Google glasses and smart watch was not far away. Future it is expected or beacons are used everywhere to be expanded.