• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.5
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• pp.1027-1034
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• 2024

This study aims to address the issues of outliers and missing values in AI-based smart farming to improve data quality and enhance the accuracy of agricultural predictive activities. By utilizing real data provided by the Rural Development Administration (RDA) and the Korea Agency of Education, Promotion, and Information Service in Food, Agriculture, Forestry, and Fisheries (EPIS), outlier detection and missing value imputation techniques were applied to collect and manage high-quality data. For successful smart farm operations, an IoT-based AI automatic growth measurement model is essential, and achieving a high data quality index through stable data preprocessing is crucial. In this study, various methods for correcting outliers and imputing missing values in growth data were applied, and the proposed preprocessing strategies were validated using machine learning performance evaluation indices. The results showed significant improvements in model performance, with high predictive accuracy observed in key evaluation metrics such as ROC and AUC.

• Electronics and Telecommunications Trends
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• v.32 no.1
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• pp.35-45
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• 2017

모든 사회 생활 및 경제 활동이 인터넷을 통해 이루어지며 IoT, 빅데이터, 모바일, 클라우드가 연결되는 초연결 시대를 대비하기 위하여 신뢰성이 담보된 차세대 네트워킹 기술이 요구되고 있다. 신뢰성 있는 IP네트워킹 기술은 속도와 기능 및 성능의 고도화를 넘어서 새로운 환경에 적응이 가능한 유연한 구조와 다양한 상황에 대응하는 지능적 처리 방식으로 혁신되어야 하며 안전한 초연결 서비스를 위해서 프라이버시와 보안이 핵심으로 제공되어야 한다. 본고에서는 최근의 IP 네트워크 기술동향을 살펴보고 이를 기반으로 초연결 세상을 구현하기 위한 중심에 있는 신뢰 네트워크에 대한 개념을 새로이 정의하며, 필수적인 요구사항들과 기능들을 분석하고 이를 기반으로 적용 가능한 다양한 응용 분야를 도출하며, 지속적인 향후 연구방향에 대해서도 살펴보고자 한다.

• Journal of Navigation and Port Research
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• v.45 no.6
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• pp.366-371
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• 2021

This study suggests surface wave communication, which uses a metal surface as a medium, to provide wireless communication in the extreme environment due to surrounding metal materials on vessels. The test was conducted on a G/T 265 tons tug boat to confirm the possibility of surface wave communication between a bridge and each designated space in the ship. As a result, the transmission speed was 13Mbps on average. In a test case of the bridge via the engine room, the transmission speed was 4.3Mbps on engine running and 1.2Mbps on sailing. It overcame this by partially changing the equipment installation location. Surface wave communication in bow storage, a fully enclosed space, had 8Mbps better transmission speed than wireless communication; this confirmed the superiority of surface wave communication in confined spaces on a vessel. Additional surface wave generators were designed and applied to resolve the paint issue. It is expected to use surface wave communication to implement the new wireless solution for Maritime-IoT system on vessels.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.43-44
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• 2020

IoT 산업과 인공지능 기술의 발전으로 다양한 데이터를 분석하여 서비스에 쉽게 활용할 수 있게 되었다. 이에 대해 클라우드 기반으로 된 분석 기술이 주로 발전하였으나, 개인 정보 노출 위험성 및 네트워크 종속성 문제를 해결하기 위해 최근에는 엣지 기반으로 분석하고 클라우드와 협업하는 기술 연구가 활발하게 진행되고 있다. 리소스가 제한적인 엣지 디바이스 기반 환경에서 원활한 서비스를 제공하기 위해서는 서비스의 기능을 목적별로 최소화하여 독립적이고 경량화된 어플리케이션을 엣지에 배포하고 실행되게 해야 한다. 마이크로서비스 설계 기법은 이를 해결 할 수 있는 대표적인 방법으로 대두되고 있다. 본 논문에서는 여러 마이크로 서비스의 결과를 전달 받아 최종적으로 적합한 결과를 재생하는 컨텐츠 제공 서비스 구조를 제안하고 구현 결과를 소개하였다. 높은 데이터 처리 성능을 요구하는 영상 처리 서비스를 제공함에 있어 제안하는 방법을 활용하여 엣지 디바이스 활용 효율성을 높이고 보다 만족도 높은 컨텐츠 제공 서비스를 제공할 수 있다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.1
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• pp.76-81
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• 2018

The Internet of Things (IoT), which is emerging as a future economic growth engine, has been actively introduced in areas close to our daily lives. However, there are still IoT security threats that need to be resolved. In particular, with the spread of smart homes and smart cities, an explosive amount of closed-circuit televisions (CCTVs) have been installed. The Internet protocol (IP) information and even port numbers assigned to CCTVs are open to the public via search engines of web portals or on social media platforms, such as Facebook and Twitter; even with simple tools these pieces of information can be easily hacked. For this reason, a big-data analytics system is needed, capable of supporting quick responses against data, that can potentially contain risk factors to security or illegal websites that may cause social problems, by assisting in analyzing data collected by search engines and social media platforms, frequently utilized by Internet users, as well as data on illegal websites.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.699-707
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• 2016

This paper proposes a low-complexity central processing unit (CPU) that is suitable for deeply embedded systems, including Internet of things (IoT) applications. The core features a 16-bit instruction set architecture (ISA) that leads to high code density, as well as a multicycle architecture with a counter-based control unit and adder sharing that lead to a small hardware area. A co-processor, instruction cache, AMBA bus, internal SRAM, external memory, on-chip debugger (OCD), and peripheral I/Os are placed around the core to make a system-on-a-chip (SoC) platform. This platform is based on a modified Harvard architecture to facilitate memory access by reducing the number of access clock cycles. The SoC platform and CPU were simulated and verified at the C and the assembly levels, and FPGA prototyping with integrated logic analysis was carried out. The CPU was synthesized at the ASIC front-end gate netlist level using a $0.18{\mu}m$ digital CMOS technology with 1.8V supply, resulting in a gate count of merely 7700 at a 50MHz clock speed. The SoC platform was embedded in an FPGA on a miniature board and applied to deeply embedded IoT applications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.208-213
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• 2016

In the fourth industrial revolution, customization is becoming a conversation topic in various domains. Industry 4.0 applies cyber-physical systems (CPS), the Internet of Things (IoT), and cloud computing to manufacturing businesses. One of the main phrases in Industry 4.0 is mass customization. Optimized products or services are developed and provided through customization. Therefore, the competitiveness of a product can be enhanced, and satisfaction is improved. In particular, as IoT technology spreads, customization is an essential aspect of smooth service connections between various devices or things. Customized services in mobile applications are assembled and operate in various mobile devices in the mobile environment. Therefore, this paper proposes a method for improving customized cloud server-based mobile architectures, processes, and metrics, and for measuring the performance improvement of the customized architectures operating in various mobile devices based on the Android or IOS platforms. We reduce the total time required for customization in half as a result of applying the proposed customized architectures, processes, and metrics in various devices.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.12
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• pp.491-498
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• 2019

Digital twin is a technology that virtualizes physical objects of the real world on a computer. It is used by collecting sensor data through IoT, and using the collected data to connect physical objects and virtual objects in both directions. It has an advantage of minimizing risk by tuning an operation of virtual model through simulation and responding to varying environment by exploiting experiments in advance. Recently, artificial intelligence and machine learning technologies have been attracting attention, so that tendency to virtualize a behavior of physical objects, observe virtual models, and apply various scenarios is increasing. In particular, recognition of each robot's motion is needed to build digital twin for co-robot which is a heart of industry 4.0 factory automation. Compared with modeling based research for recognizing motion of co-robot, there are few attempts to predict motion based on sensor data. Therefore, in this paper, an experimental environment for collecting current and inertia data in co-robot to detect the motion of the robot is built, and a motion prediction model based on the collected sensor data is proposed. The proposed method classifies the co-robot's motion commands into 9 types based on joint position and uses current and inertial sensor values to predict them by accumulated learning. The data used for accumulating learning is the sensor values that are collected when the co-robot operates with margin in input parameters of the motion commands. Through this, the model is constructed to predict not only the nine movements along the same path but also the movements along the similar path. As a result of learning using SVM, the accuracy, precision, and recall factors of the model were evaluated as 97% on average.

• Journal of Science and Technology Studies
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• v.16 no.2
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• pp.65-98
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• 2016

Living Lab is being introduced and applied as an innovation model driven by social entities (residents, users, etc.) and as an innovation place based on local and field. This study analyzed three living lab cases of Bukchon IoT living lab, Seong-Daegol energy transition living lab, and Daejeon Geonneoyu project, which were designated as 'Living Lab' to solve local problems. We analyzed the local problem, the problem solving goal, the role of each participant and the subject, the living lab promotion system, the significance in each case. In addition, the types and characteristics of living labs were elucidated and future development plans were discussed. The result is as follow. First, each case has a tendency to link science technology and ICT with local problem solving though there is a difference between the technologies used. Second, local residents played a leading role in the whole living lab process from problem identification to technical experimentation, diffusion and application. Third, the role of the intermediaries commonly played an important role in the operation of the living lab. Last but not least, each case has different types of living lab. Bukchon IoT living lab being operated as a project by the government / municipality to create a living lab activity-base or to support actors' activities. On the other hand, the Seong-Daegol energy transition living lab and Daejeon Geonneoyu project were conducted by the civil society itself to define problems and explore technologies in order to solve local problems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.949-955
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• 2020

In this Study, Social Network Analysis of IoT related patents in South Korea, China, and Japan was conducted from the viewpoint of patent informatics. To this end, 2,526 patents filed by PCT until December 2019 were investigated up to the subclass level of the IPC code. As a result, in the case of South Korea, representative IPC codes are in the order of G06Q, H04L, G06F, H04W, and the highest frequency of interconnection is H04L→H04W, H04W→H04L, H04W→H04B. In China, the representative IPC codes are in the order of H04L, H04W, G05B, G06Q. South Korea has strong technological convergence centered on the G06Q, while China has strong convergence centered around H04L and H04W. Moreover, in China, H04L and H04W have more diverse combinations than in South Korea in Section A, B, G, and H. In the future, it is necessary to study the diversity of technology convergence of H04L and H04W in China.