• JSTS:Journal of Semiconductor Technology and Science
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• v.17 no.1
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• pp.56-64
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• 2017

In this paper, an advanced ZigBee (AZB) system for internet-of-things (IoT) applications is proposed which can support various data rates from 31.25 Kbps to 2 Mbps, and the implementation results of the AZB baseband processor are presented. Repetition coding for 32-chip direct-sequence spread spectrum (DSSS) symbol is applied for low rates under 250 Kbps to extend the coverage. Convolution coding, puncturing, and interleaving for non-DSSS symbol are performed for high rates from 500 Kbps to 2 Mbps for multi-media services. Simulation results show that the coverage increases at the rate of 51.8-77.3% for various environments compared with IEEE 802.15.4 ZigBee. AZB baseband processor was implemented in 180 nm CMOS process and total gate counts are 260K with the size of $5.8mm^2$.

• Annual Conference of KIPS
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• 2016.04a
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• pp.283-285
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• 2016

최근 정보통신 기술의 발전과 함께 M2M(Machine-to-Machine) 산업분야의 시스템이 다기능 고성능화되고 있으며 IoT(Internet of Things), IoE(Internet of Everything)기술 등과 함께 많은 발전해가고 있다[1]. 가장 오래 된 정보통신 기술의 근간인 웹 애플리케이션은 점점 발전하고 고도화 되어가고 있으며 이러한 웹 애플리케이션을 해킹하는 기술도 다양한 관점에서 발전하고 있다. 웹 애플리케이션을 구성하는데 필수적인 파일인 TTF(True Type Font)파일에 대한 보안적 관심이 필요하다. TTF파일을 외부에서 받아옴으로서 웹 애플리케이션에 적용시키는 방식을 사용할 때, 다른 서버에서 URL을 통해 받아오는 TTF파일에 대해 보안적 검사가 제대로 실행되지 않는다. 본 논문에서는 TTF파일의 감염과 그 파일에 대한 대응 방법을 제안하고자 한다.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.26-39
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• 2017

The need for embedded devices to be able to exchange information with each other and with data centers is essential for the advent of the Internet of Things (IoT). Several existing communication protocols are designed for small devices including the message-queue telemetry transport (MQTT) protocol or the constrained application protocol (CoAP). However, most of the existing implementations are convenient for computers or smart phones but do not consider the strict constraints and limitations with regard resource usage, portability and configuration. In this paper, we report on an industrial research and development project which focuses on the design, implementation, testing and deployment of a MQTT module. The goal of this project is to develop this module for platforms having minimal RAM, flash code memory and processing power. This software module should be fully compliant with the MQTT protocol specification, portable, and inter-operable with other software stacks. In this paper, we present our approach based on abstraction layers to the design of the MQTT module and we discuss the compliance of the implementation with the requirements set including the MISRA static analysis requirements.

• Journal of Arbitration Studies
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• v.28 no.3
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• pp.21-33
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• 2018

Technological innovations can be protected by patents, and patent applications are filed in various patent offices around the world including the United States Patent and Trademark Office (USPTO). Recently, the U.S. exportation of artificial intelligence and internet of things patents in the form of foreign sales of articles embodying U.S. patents and international technology licenses has grown substantially. However, due to the U.S. Supreme Court's Lexmark decision reconfirming an international patent exhaustion doctrine, the asian or korean importers importing such U.S. goods embodying U.S. patents do not have to worry about patent infringement liability, even when they try to resell the patented goods to the third parties. KCAB can play a substantial role in resolving such patent disputes due to qualified expert arbitrators and the International Rules of KCAB which ensure impartiality and independence of the arbitrators.

• Journal of Satellite, Information and Communications
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• v.11 no.3
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• pp.100-103
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• 2016

This Study is focused on hedonic model study for retargeting advertising Based air inteface using useful information. many research related to the existing Internet of things, relatively not many study for effective advertising model based air inteface. So, this study is designed more information, fun, interactive advertising model based air inteface. therefore, result of this study show that implication to produce advertising based air inteface provides a practical guide.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.5805-5825
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• 2019

Smartphones are important platforms because of their sophisticated computation, communication, and sensing capabilities, which enable a variety of applications in the Internet of Things (IoT) systems. Moreover, advancements in hardware have enabled sensors on smartphones such as environmental and chemical sensors that make sensor data collection readily accessible for a wide range of applications. However, dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users that vary throughout the day, which greatly affects the efficacy of sensor data collection. Therefore, it is necessary to consider phone users mobility patterns to design data collection schedules that can reduce the loss of sensor data. In this paper, we propose a mobility-based weighted adaptive opportunistic scheduling framework that can adaptively adjust to the dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users and provide prioritized scheduling based on various application scenarios, such as velocity, region of interest, and sensor type. The performance of the proposed framework is compared with other scheduling frameworks in various heterogeneous smartphone user mobility scenarios. Simulation results show that the proposed scheduling improves the transmission rate by 8 percent and can also improve the collection of higher-priority sensor data compared with other scheduling approaches.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.67-72
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• 2015

As new Information technology such as IoT develops rapidly, a lot of changes are occurred in our lives. The Internet of Things is the network of physical objects or things embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator and/or other connected devices. This change is also applied to tourism industry. These days many people make a tour reservation using the internet. But it is required to consider the efficiency and security of tour reservation system. In this paper, we suggest a tour reservation system. First, we describe the computer reservation system, hotel reservation system and reservation system. Second, we perform the modeling of general reservation system and suggested reservation system. Third, performance evaluation is carried out with respect to efficiency and security. The results show that the suggested reservation system has a better performance than a general reservation system. At last we described the results and future works.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.9
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• pp.2512-2545
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• 2024

One of the biggest challenges for the medical professionals is spotting cardiovascular issues in the earliest stages. Around the world, Cardiovascular Diseases (CVD) are a major cause of death for almost 18 million people each year. Heart disease is therefore a serious concern that needs to be treated. The numerous elements that affect health, such as excessive blood pressure, elevated cholesterol, aberrant pulse rate, and many other factors, might make it challenging to detect heart disease. Consequently, early disease detection and the development of effective treatments can benefit greatly from the field of artificial intelligence. The purpose of this work is to develop a new IoT based healthcare monitoring framework for the prediction of CVD using machine learning algorithm. Here, the data preprocessing has been performed to create the normalized dataset for improving classification. Then, an Artificial Gorilla Troop Optimization (AGTO) algorithm is deployed to choose the most pertinent features from the normalized dataset. Moreover, the Multi-Linear Regression Classification (MLRC) model is also implemented for accurately categorizing the medical information as whether healthy or CVD affected. The results of the proposed AGTO-MLRC mechanism is validated and compared using the popular benchmarking datasets.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.1-8
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• 2021

With the rapid growth of intelligent devices and communication technologies, 5G network environment has become more heterogeneous and complex in terms of service management and orchestration. 5G architecture requires supportive technologies to handle the existing challenges for improving the Quality of Service (QoS) and the Quality of Experience (QoE) performances. Among many challenges, traffic steering is one of the key elements which requires critically developing an optimal solution for smart guidance, control, and reliable system. Mobile edge computing (MEC), software-defined networking (SDN), network functions virtualization (NFV), and deep learning (DL) play essential roles to complementary develop a flexible computation and extensible flow rules management in this potential aspect. In this proposed system, an accurate flow recommendation, a centralized control, and a reliable distributed connectivity based on the inspection of packet condition are provided. With the system deployment, the packet is classified separately and recommended to request from the optimal destination with matched preferences and conditions. To evaluate the proposed scheme outperformance, a network simulator software was used to conduct and capture the end-to-end QoS performance metrics. SDN flow rules installation was experimented to illustrate the post control function corresponding to DL-based output. The intelligent steering for network communication traffic is cooperatively configured in SDN controller and NFV-orchestrator to lead a variety of beneficial factors for improving massive real-time Internet of Things (IoT) performance.

• Smart Media Journal
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• v.13 no.1
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• pp.45-51
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• 2024

Long Range Wide Area Network (LoRaWAN) is a widely adopted Internet of Things (IoT) protocol due to its high range and lower energy consumption. LoRaWAN utilizes Adaptive Data Rate (ADR) for efficient resource (e.g., spreading factor and transmission power) management. The ADR manages these two resource parameters on the network server side and end device side. This paper focuses on analyzing the ADR and Gaussian ADR performance of LoRaWAN. We have performed NS3 simulation under a static scenario by varying the antenna height. The simulation results showed that antenna height has a significant impact on the packet delivery ratio. Higher antenna height (e.g., 50 m) has shown an improved packet success ratio when compared with lower antenna height (e.g., 10 m) in static and mobility scenarios. Based on the results, it is suggested to use the antenna at higher allevation for successful packet delivery.