• Journal of Industrial Convergence
• /
• v.20 no.8
• /
• pp.61-67
• /
• 2022

The Internet of Things(IoT) is one of the key technologies in the Fourth Industrial Revolution. The IoT is a system that acquires information from various sensors and provides meaningful information to users. The method of obtaining information from sensor is using WIFI, Bluetooth and Server. is not accessible to external users because of different type of networks or local area communication. For this reason, there is a problem that external user cannot receive notification in regard to sensor information. In this paper, we want to establish a cloud message environment using Google's FCM(Firebase Cloud Messaging) and find out through experiments how users can receive notifications even if they are outside.

• International Journal of Computer Science & Network Security
• /
• v.23 no.4
• /
• pp.146-150
• /
• 2023

In areas where water is scarce, water management is critical. This has an impact on agriculture, as a significant amount of water is used for that purpose. Electronic measurement equipment are essential for regulating and storing soil data. As a result, research has been conducted to manage water usage in the irrigation process. Many equipment for managing soil fertility systems are extremely expensive, making this type of system unaffordable for small farmers. These soil fertility control systems are simple to implement because to recent improvements in IoT technology. The goal of this project is to develop a new methodology for smart irrigation systems. The parameters required to maintain water amount and quality, soil properties, and weather conditions are determined by this IoT-based Smart irrigation System. The system also assists in sending warning signals to the consumer when an error occurs in determining the percentage of moisture in the soil specified for the crop, as well as an alert message when the fertility of the soil changes, since many workers, particularly in big projects, find it extremely difficult to check the soil on a daily basis and operate agricultural devices such as sprinkler and soil fertilizing devices.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.690-692
• /
• 2014

Conventional one-way cramming education at schools has the disadvantage of poor student interest in learning, immersion, and learning efficiency as well as a limitation in realizing collective intelligence and collaborative learning. Therefore, an educational content service platform using a near-field communication(NFC) technology is required as a tool for encouraging the voluntary learning participation of students and increasing learning effectiveness through self-directed studying. This study focuses on the development of an educational content production system that creates high-quality education contents suitable for smart schools. In these schools, students and teachers generally communicate through an electronic blackboard using Bluetooth, which is an NFC technology. Further, the lecture notes of individual students are reproduced and collected as big data, which will facilitate the sharing of these notes.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.10
• /
• pp.2047-2053
• /
• 2015

Our research proposese an IoT Broker (gateway) platform which considers the both sides of a service developer and a user. The platform associates the devices around us with virtual-entities and infers the owner of the devices through the ontology scheme. These functionalities can make the service developer easily design a new service. For the user, the service can be automatically installed and deployed under this platform. We also make it possible for the IoT broker to be plugged-in by integrating various communication platforms and protocols into that platform. Our expreriment with the AllJoyn plug-in on Node-RED substantiated that various service flows can be easily deployed and work on our platform.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2018.07a
• /
• pp.197-198
• /
• 2018

본 논문에서는 산업 IoT (IIoT) 환경에서 생산 설비 내 각 센서 노드의 데이터 이상 여부를 게이트웨이에서 판단하는 Emergency node 선정 모델을 제안하였다. 이 모델은 IIoT 환경이 적용된 생산 설비의 Emergency 상태 즉, 이상 동작으로 인한 온도, 진동 데이터 등의 비정상적인 수집을 구분하여 즉각적으로 대응할 수 있도록 하는 것을 목표로 한다. 본 논문에서는 분할 선형 회귀를 통하여 주기 내 데이터의 허용 범위를 계산하여 기존의 Threshold 방식보다 정확하고 범용적으로 Emergency node를 분류한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.10a
• /
• pp.300-302
• /
• 2021

Usage of a face mask has become mandatory in many countries after the COVID-19. This paper described to develop a IoT based smart mask system for monitoring face mask. The system developed in this paper has two main units, a sensor module, and a smartphone application. The sensor module consists of four components: temperature and humidity sensor, a heart rate sensor, and a BLE chip. This components work as a unit to collect data and stream them through an I2C port over BLE to a connected mobile device. The smartphone application is an Android application developed for smart phones. It enables the Android device to communicate with the sensor to receive sensor data, process, store and display results.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2020.01a
• /
• pp.241-242
• /
• 2020

홈/개인 IoT 환경에서 모바일 기기나 유무선 공유기는 IoT 기기의 트래픽을 중계하는 경우가 많다. 본 논문에서는, 홈/개인 IoT 환경에서 IoT 기기들이 서버로 전송한 패킷들을 프라이버시 보호 측면에서 더 안전하게 상류로 전송하는 기능을 제공하는 트래픽 자동 분류기반의 상류 프라이버시 보호 계층을 제안한다. 트래픽의 목적지 주소를 기반으로, 직접 연결, 프락시를 통한 연결, VPN을 통한 연결, Tor 익명 네트워크를 통한 연결 방식 중 하나를 선택하고, 선택된 연결 방식으로 상류로 패킷을 전달한다. 별도의 사용자 인터페이스를 통해 목적지 주소 및 적합한 연결 방식을 설정할 수 있다. 제안 계층은 모바일 기기 및 유무선 공유기에 적용 가능하며, 현재 모바일 기기용 개념 증명 예제를 구현하였다.

• KIPS Transactions on Computer and Communication Systems
• /
• v.6 no.6
• /
• pp.289-296
• /
• 2017

With the development of IoT technology, the scope of object controls and sensor information has expanded and services have been diversified. Energy saving efforts in buildings with high energy consumption is increasing, and services are being extended over life safety, security and convenience. However, Existing smart building services are dependent on IoT devices and are difficult to change or expand. In this paper, we have implement of workflow based smart building services to modify or extend services according to user's needs.

• Journal of Internet of Things and Convergence
• /
• v.6 no.2
• /
• pp.45-50
• /
• 2020

In this paper, we propose a QoS-based handover management scheme in SDN. Even though there have been lots of recent services such as IoT, the conventional networks provide a monolitic handover method without considerations on flow-specific QoS features. For example, the conventional Internet provides a handover method which only considers IP continuity. On the other hand, 4G and 5G networks use a strict handover method for all kinds of flows with resource reservations. This means that it is difficult to guarantee the QoS requirements for the flow with a strict QoS requirement in Internet and the inefficient resource utilization can occur in the 4G and 5G because of the strict QoS-based handover management. The proposed scheme proposes the flow handover management scheme based on QoS requirements according to the SDN controller's management. From the network operators' perspective, the proposed scheme can provide the efficient resource utilization as well as QoS provisioning.

• Smart Media Journal
• /
• v.13 no.2
• /
• pp.85-94
• /
• 2024

Artificial Intelligence of Things (AIoT), which combines AI and the Internet of Things (IoT), has recently gained popularity. Deep neural networks (DNNs) have achieved great success in many applications. Deploying complex AI models on embedded boards, nevertheless, may be challenging due to computational limitations or intelligent model complexity. This paper focuses on an AIoT-based system for smart sewing automation using edge devices. Our technique included developing a detection model and a decision tree for a sufficient testing scenario. YOLOv5 set the stage for our defective sewing stitches detection model, to detect anomalies and classify the sewing patterns. According to the experimental testing, the proposed approach achieved a perfect score with accuracy and F1score of 1.0, False Positive Rate (FPR), False Negative Rate (FNR) of 0, and a speed of 0.07 seconds with file size 2.43MB.