• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.3
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• pp.551-558
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• 2021

In this paper, we made the integrated intelligent air ventilation of the actuator module that can be remotely controlled based on IoT and sensors. we implemented a ventilation window system by configuring an algorithm design and a driving circuit to control the operation of the actuator to open and close the ventilation port based on a predetermined number of data that detects indoor gas/CO2/humidity temperature and outdoor fine dust related indoor/outdoor environment. It is difficult to store, manage, and analyze data due to the large number of sensors and conditions for the transmission data of indoor air circulation module. The remote monitoring and remote wireless control screens were constructed to automate the separation and operation conditions by extracting and managing the state. We apply MQTT to enhance big data transmission and construct the system using Rocket MQ to ensure safe transmission of operational big data against system errors.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.123-124
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• 2019

우리나라 조선업은 건조분야에서 세계최고의 위상을 자랑하면서 급속도로 발전을 해왔다. 그러나 세계적으로 수주 불황과 조선 산업의 침체로 인해서 조선 산업은 직접적인 타격으로 국내의 중견 조선소 및 기자재 공급업체들이 도산되어0 최근부터 해양플랜트 사업이 우리나라 새로운 산업으로 부상하면서 해양 ICT 융합기술을 활용한 기자재 업체들이 많이 생겨났다. 하지만 실제 해양플랜트 선박 및 기자재의 국산화율은 현저히 낮다. 해양플랜트 외에 다른 용도로 사용이 가능한 Service and Access Basket의 국산화를 위해서 각 모듈별로 임베디드를 연계하여 설계하였다. 기존의 Service and Access Basket의 미비했던 안전 사양(기울기, 하중, 경보 등)을 추가로 설계하고 신뢰성이 높은 센서(자이로, 하중센서, 초음파 거리센서)들을 활용하여 통합 설계하였다. 이러한 통합 시스템이 완성이 되면 고소차, 해양/육상용 고공 작업을 할 수 있는 장비 등에 활용할 수 있을 예정이다.

• International Journal of Computer Science & Network Security
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• v.23 no.7
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• pp.155-164
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• 2023

Machine learning with its high precision algorithms, Precision agriculture (PA) is a new emerging concept nowadays. Many researchers have worked on the quality and quantity of PA by using sensors, networking, machine learning (ML) techniques, and big data. However, there has been no attempt to work on trends of artificial intelligence (AI) techniques, dataset and crop type on precision agriculture using internet of things (IoT). This research aims to systematically analyze the domains of AI techniques and datasets that have been used in IoT based prediction in the area of PA. A systematic literature review is performed on AI based techniques and datasets for crop management, weather, irrigation, plant, soil and pest prediction. We took the papers on precision agriculture published in the last six years (2013-2019). We considered 42 primary studies related to the research objectives. After critical analysis of the studies, we found that crop management; soil and temperature areas of PA have been commonly used with the help of IoT devices and AI techniques. Moreover, different artificial intelligence techniques like ANN, CNN, SVM, Decision Tree, RF, etc. have been utilized in different fields of Precision agriculture. Image processing with supervised and unsupervised learning practice for prediction and monitoring the PA are also used. In addition, most of the studies are forfaiting sensory dataset to measure different properties of soil, weather, irrigation and crop. To this end, at the end, we provide future directions for researchers and guidelines for practitioners based on the findings of this review.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1299-1306
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• 2023

In this paper, we present a system for undesignated cultural heritage management and real-time theft chase, which uses flash-based large-capacity storage. The proposed system is composed of 3 parts, such as a cultural management device, a flash-based server, and a monitoring service for managing cultural heritages and chasing thefts using IoT technologies. However flash-based storage needs methods to overcome the limited lifespan. Therefore, in this paper, we present a system, which uses the disk buffer in flash-based storage to overcome the disadvantage, and evaluate the system performance in various environments. In our experiments, LRU policy shows the number of direct writes in the flash-based storage by 10.7% on average compared with CLOCK and FCFS.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1228-1236
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• 2018

Recently, the maritime environment contaminated by the abandoned fishing gears. To solve this problem, there requires systematic management techniques for the fishing gears based on ICT technologies. The existed systems are optionally used by owners, but the systems need to adopt the monitoring and control architecture for integrated national surveillance. To do this, we designed an architecture for effective monitoring and management which collects position and state information using automatic identification buoy (AIB) device, to send the fishing ship, administrator ship, and shore side control center based on the IoT networks. Especially, in this paper, we developed the ENC-based integrated control system for efficient management which provides functions for position indication, state information display and loss alarm of fishing gears. Also, we conduct performance tests for data processing and visualization functions of the system to use a virtual buoy generation module.

• Journal of the Korea Society for Simulation
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• v.25 no.2
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• pp.63-74
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• 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 Advanced Navigation Technology
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• v.23 no.6
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• pp.584-588
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• 2019

Wireless body area network (WBAN) is a networking technology that enables early detection of abnormal health conditions, real-time medical monitoring, and telemedicine support systems. The internet of things (IoT) for healthcare, which has become an issue recently, is one of the most promising areas for improving the quality of human life. It must meet the high QoS requirements of the medical communication system like any other communication system. Therefore, the bit error rate (BER) threshold was chosen to accommodate the QoS requirements of the WBAN communication system. In this paper, we calculated BER performance of WBAN channel using IR-UWB PPM modulation and analyzed link budget and system margin of WBAN according to various system parameters.

• Ecology and Resilient Infrastructure
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• v.6 no.4
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• pp.277-286
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• 2019

The construction industry is known to be one of the representative industries that generate fine dust. Therefore, reducing the amount of fine dust generated in construction sites is very important for the overall fine dust management. Based on this, this study proposed the fine dust measurement and removal technology combined with advanced technologies such as autonomous mobile vehicle IoT and DFS. The qualitative, quantitative and risk elimination effects that can be expected when applying the proposed technique are analyzed. The proposed technique will be validated through system development and field application and evaluated specific economics through cost analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.44-46
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• 2018

In this paper, we design a system that can control unmanned mobile objects through communication between unmanned mobile object and control server system using LoRa network which is a dedicated IoT network. It is more efficient when the unmanned mobile object performs the special work by installing the LoRa network applied to the unmanned mobile object control system from the small space house or office hospital to the factory. In this paper, we will discuss the design of a system that can improve the social utilization of unmanned mobile objects by making it possible to communicate the events that occur around other mobile objects from the simplification of the navigation path.

• Journal of Information Processing Systems
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• v.17 no.5
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• pp.905-917
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• 2021

In recent years, edge computing technology consists of several Internet of Things (IoT) devices with embedded sensors that have improved significantly for monitoring, detection, and management in an environment where big data is commercialized. The main focus of edge computing is data optimization or task offloading due to data and task-intensive application development. However, existing offloading approaches do not consider correlations and associations between data and tasks involving edge computing. The extent of collaborative offloading segmented without considering the interaction between data and task can lead to data loss and delays when moving from edge to edge. This article proposes a range segmentation of dynamic offloading (RSDO) algorithm that isolates the offload range and collaborative edge node around the edge node function to address the offloading issue.The RSDO algorithm groups highly correlated data and tasks according to the cause of the overload and dynamically distributes offloading ranges according to the state of cooperating nodes. The segmentation improves the overall performance of edge nodes, balances edge computing, and solves data loss and average latency.