2020, Vol.15, No.1

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

The fire management in rack type warehouses is a very important and essential element. Usually, a fire is first produced smoke, then a flame is produced, leading to a fire. Generally, smoke detection systems have smoke detectors installed in all of the rack spaces and detect smoke early on and deliver the correct location. However, if there is not enough space in the rack to install smoke detectors, or if all racks do not have smoke detectors installed, one smoke detector is installed at the top of the rack to manage the surrounding racks. If the smoke detector detects smoke in this configuration, it is not possible to determine which of the grouped racks is generating smoke. Therefore, this study proposes a system to efficiently locate the position of the smoke-producing racks. For this purpose, the camera is installed on a stacker crane that loads and leaves products in a rack warehouse. Image frames are transmitted in real time from fixed cameras so that the difference images are calculated reliably. The images obtained detect the direction of smoke using a technique called dense optical flow, an algorithm that detects the movement of an object. The purpose of this paper is to develop a highly reliable fire detection system that detects the location of the racks in which smoke occurs by moving the stacker cranes in the detected direction and repeatedly.

IoT(Internet of Things) and blockchain technologies are at the core of the technologies that form the fourth industrial revolution. In this paper, we examine the researches incorporating blockchain technology for the IoT. It is predicted that the number of IoT devices explode, and the amount of data to be collected and managed would also be significant. Ensuring the security of the device or data generated from the device is a problem to be solved. The blockchain technology is considered as a solution to this problem, because it provides data safety such as decentralization of data management, non-forgery, and traceability. However, it is considered that the inefficiency of the calculation of the consensus algorithm used in existing electronic cryptocurrency management (e.g., Bitcoin) should be improved in order to be applied to the Internet of Things. In this paper, we analyze the characteristics of the blockchain technology applied for the IoT system by classifying recent research into an applied environment (i.e., home, hospital, company and government), consensus algorithm (i.e., Proof of Work, Proof of Stake, and so on), platform (i.e., Ethereum, Hyperledger), and effort for blockchain application. Through the recent research trend analysis, we show the applicability of blockchain technology for constructing the IoT, and suggest future research topics and issues to be resolved.

Semiconductor equipment can be divided into pre-process equipment, post-process equipment, and test equipment. Domestic semiconductor equipment companies have used the Visual Studio development environment provided by MS to control such equipment. MFC technology support has been weakened since Microsoft opened the .NET, but as the MFC continues to provide functionality, semiconductor device control systems have been developed in the Visual C ++ / MFC development environment. However, due to the weak MFC technology support and the development of computer hardware technology, the development of new equipment control system in the Visual C # / WinForm (WPF) environment has recently been, and the MFC base is limited to maintenance and function improvement. Meanwhile, major domestic semiconductor equipment producers are expected to increase their investment in the semiconductor equipment industry in the memory sector. In order to cultivate SW development manpower for semiconductor device control, appropriate education tools are required at universities. Therefore, in this study, we developed a low-cost small educational target board and application for interface application that can practice hardware control in Visual Studio C # development environment. The devices and sensors mounted on the target board are 5-switch, 4-LED, 4-RGB LED, 4-FND, variable resistance, illuminance sensor, temperature / humidity sensor, piezo around the ARM® 32-bit Cortex®-M3 CPU. It is a port for controlling stepper motor and servo motor. And the application is a program for driving these parts. Learning about the field of equipment control with the results of this study is expected to be of great help to job seekers who want to enter this field.