• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.2
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• pp.11-17
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• 2019

As interest in the efficiency use of energy has been recently rising, studies have been performed in utilizing various types of eco-friendly green energy and natural energy. Especially there has been rapidly increase in the fields using ESS (Energy Storage System), which is the technology for storing the energy from nature. The application fields of ESS is continuously growing and expanding to various types of technologies. However, in recent years there have been continuing problems with the safety of ESS. And related researches are going on. In this paper, we has proposed a system structure to utilize more secure ESS and has monitored the system status of ESS in real time by using smart phone app. This paper has also proposed a new method to configure secure ESS by implementing GUI (Graphical User Interface) to control the system. And then explain experimental results to investigate the efficiency of the proposed ESS.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.133-134
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• 2019

스마트 센서는 센싱 기능 외에 통신, 데이터 처리, 의사결정 기능을 추가로 갖추고, 수집한 데이터를 바탕으로 자체적으로 판단하고 처리하는 기능을 포함된 지능적 센서이다. 실생활에도 밀접한 연관을 가질 수 있고 범위 또한 점차 확대되어가고 있다. 본 논문에서는 센싱 데이터의 IoT 활용과 맞물려 스마트 센싱 데이터의 다양하고 새로운 활동 분야에 대해서 탐색하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.263-266
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• 2019

In this paper, we suggest an activity and health monitoring system to observe the status of the dogs in real time. We also propose a k-days algorithm which helps monitoring pet health status using classified activity data from a machine learning approach. One of the best machine learning algorithm is used for the classification activity of dogs. Dog health status is acquired by comparing current activity calculation with passed k-days activities average. It is considered as a good, warning and bad health status for differences between current and k-days summarized moving average (SMA) > 30, SMA between 30 and 50, and SMA < 50, respectively.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.416-417
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• 2019

최근 도시농업의 중요성이 부각되면서 정책적 육성과 지원에 힘입어 다양한 형태의 도시농업 조성이 확대되고 있다. 현대 농업은 스마트팜 보급이 일반화되고 있지만, 대부분의 도시농업은 전통적인 작물재배 방법을 사용하고 있다. 따라서 본 논문에서는 도시농업의 다양한 유형을 고려한 도시형 스마트팜 시스템을 제안한다. 제안하는 도시형 스마트팜 시스템은 스마트팜 통합 컨트롤러와 스마트팜 서비스 플랫폼 서버로 구성되며, 스마트온실 표준 인터페이스 기반의 센서 및 구동기 연동과 IoT 서비스 플랫폼을 이용하여 도시농업의 유형에 따라 유동적으로 시스템을 구성 할 수 있는 환경을 제공한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.01a
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• pp.109-112
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• 2023

본 논문에서는 정보화 시대의 바쁜 현대인들에게 일상생활 속 필요한 정보들을 거울과 IOT 기술을 접목하여 인포그래픽(inforgraphics) 형태로 제공하는 개인용 스마트 미러를 제작하였다. 제공되는 정보는 날짜 및 시간, 일정, 날씨, 뉴스 속보, 실시간 버스 도착 정보, 실시간 지하철 도착 정보가 있으며 Google Assistant SDK를 활용하여 시각적 정보제공의 한계를 개선하였다.

• 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.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.57-60
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• 2021

Industry 4.0 is continuous automation by applying the latest smart technologies to traditional manufacturing industries. It means that large-scale M2M (Machine-to-Machine) communication and IoT (Internet of Things) technologies are well integrated to build efficient production systems by analyzing and diagnosing various issues without human intervention. Edge computing is widely used for M2M services that handle real-time interactions between devices at industrial machinery tool sites. Here, secure data transmission is required while interacting. Thus, this paper focused on a method of creating and maintaining secret key and security tag used for message authentication between end-devices and edge-device.

• Journal of Information Technology Services
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• v.19 no.5
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• pp.1-14
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• 2020

Mankind has been attempting to live a happy and safe family life in a residential space. Due to the advent of the mobile phone in the 1990s and the smart phone in the 2000s, when the information and communication age came, human life has been innovatively changed. The revolution of human civilization led to the Neolithic Revolution and the Iron Age, followed by a smart phone revolutionizing human life, and the revolution faces with the era of info-communication, smart phones became a daily life and the fourth industrial revolution. The fourth industrial revolution is an era of info-communication technology (ICT), creating a new paradigm across human life through technological developments such as artificial intelligence (AI), IoT, big data, mobile, and cloud. The smart home is actively researched in a direction to support the overall human life as a representative future residential culture paradigm. However, the study considering the needs according to the lifestyle, functional characteristics of each living space and human lifestyle of the Phono Sapiens era where smart phones live like daily life was relatively insufficient. In addition, research on smart home service design should be considered from the apartment residential space planning stage. Therefore, this study has significance in suggesting the direction of research on human-centered smart home service design considering the characteristics of each living space and resident's life-style in the smart phone era.

• International journal of advanced smart convergence
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• v.9 no.1
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• pp.215-221
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• 2020

The paradigm of agriculture is also changing to address the problem of food shortages due to the increase of the world population, climate conditions that are increasingly subtropical, and labor shortages in rural areas due to aging population. With the development of Information Communication Technology (ICT), our daily lives are changing rapidly and heralds a major change in agricultural management. In a hyper-connected society, the introduction of high-tech into traditional Agriculture of the past is absolutely necessary. In the development process of Agriculture, the first generation produced by hand, the second generation applied mechanization, and the third generation introduced automation. The fourth generation is the current ICT operation and the fifth generation is artificial intelligence. This paper investigated Smart Farm that increases productivity through convergence of Agriculture and ICT, such as smart greenhouse, smart orchard and smart Livestock. With the development of sustainable food production methods in full swing to meet growing food demand, Smart Farming is emerging as the solution. In overseas cases, the Netherlands Smart Farm, the world's second-largest exporter of agricultural products, was surveyed. Agricultural automation using Smart Farms allows producers to harvest agricultural products in an accurate and predictable manner. It is time for the development of technology in Agriculture, which benchmarked cases of excellence abroad. Because ICT requires an understanding of Internet of Things (IoT), big data and artificial intelligence as predicting the future, we want to address the status of theory and actual Agriculture and propose future development measures. We hope that the study of the paper will solve the growing food problem of the world population and help the high productivity of Agriculture and smart strategies of sustainable Agriculture.

• 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.