• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.29 no.12
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• pp.47-54
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• 2015

Normally, multiple socket-outlet is manufactured with soldered, welded permanent connection (termination). Because this procedure is very non-environmental and requires many labor forces, many companies skip this process. To solve this these problems, this research had to design permanent joint type multiple socket-outlet, develop safer multiple socket-outlet than is sold in markets. Progressing this research, we took 3 steps. First, we had to design device for fixing a frame suitable for multiple socket-outlet. Second, this multiple socket-outlet must pass fundamental standards through international standard (IEC 60884-1) and Korean standard (K 60884-1) tests. Third, it had to pass both several mechanical and electrical tests which is more strict than fundamental standards and vibration and impact tests following KS standards for enhancing its safety. After finishing 3 steps, we could obtain objective and fair data, develop environmental permanent joint type multiple socket-outlet without soldering crimped connection.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.135-141
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• 2018

In this paper, we describe design and implementation of optimal smart home control system. Recent developments in technologies such as sensors and communication have enabled the Internet of Things to control a wide range of objects, such as light bulbs, socket-outlet, or clothing. Many businesses rely on the launch of collaborative services between them. However, traditional IoT systems often support a single protocol, although data is transmitted across multiple protocols for end-to-end devices. In addition, depending on the manufacturer of the Internet of things, there is a dedicated application and it has a high degree of complexity in registering and controlling different IoT devices for the internet of things. ARIoT system, special marking points and edge extraction techniques are used to detect objects, but there are relatively low deviations depending on the sampling data. The proposed system implements an IoT gateway of object based on OneM2M to compensate for existing problems. It supports diverse protocols of end to end devices and supported them with a single application. In addition, devices were learned by using deep learning in the artificial intelligence field and improved object recognition of existing systems by inference and detection, reducing the deviation of recognition rates.