• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.510-513
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• 2016

Detecting of the object in image processing is substantial but it depends on the object itself and the environment. An object can be detected either by its shape or color. Color is an essential for pattern recognition and computer vision. It is an attractive feature because of its simplicity and its robustness to scale changes and to detect the positions of the object. Generally, color of an object depends on its characteristics of the perceiving eye and brain. Physically, objects can be said to have color because of the light leaving their surfaces. Here, we conducted experiment in the aquarium fish tank. Different color of fish robots are mimic the natural swim of fish. Unfortunately, in the underwater medium, the colors are modified by attenuation and difficult to identify the color for moving objects. We consider the fish motion as a moving object and coordinates are found at every instinct of the aquarium to detect the position of the fish robot using OpenCV color detection. In this paper, we proposed to identify the position of the fish robot by their color and use the position data to control the fish robot gathering in one point in the fish tank through serial communication using RF module. It was verified by the performance test of detecting the position of the fish robot.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.61-70
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• 2022

Connectivity and knowledge are the main keywords of the IoT. In this paper, I analyzed how the two civilizations, Christianity and Islam, were connected through Mughal paintings and what result they have brought in the spread of knowledge. For that, I analyzed literature as well as paintings of those days. In terms of theme matter, Western painting was used as a means of strengthening the royal authority of the Mughal Emperor. In terms of style, perspective and shading from the Western Paintings began to be used in Mughal painting. Later, Christian symbols and themes were linked to absolute power of kingship, and further utilized them to develop into the concept of kingship = spirituality = divinity, creating an original art style that was unprecedented in the history of world painting. By analyzing the two disparate cultures in terms of 'connectivity' and 'knowledge' of the Internet of Things, such research could serve as a platform for future humanities research on the Internet of Things.

• KNOM Review
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• v.24 no.1
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• pp.20-28
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• 2021

Extensive use of social media applications and mobile devices continues to increase data traffic. Social media applications generate an endless and massive amount of multimedia traffic, specifically video traffic. Many social media platforms such as YouTube, Daily Motion, and Netflix generate endless video traffic. On these platforms, only a few popular videos are requested many times as compared to other videos. These popular videos should be cached in the user vicinity to meet continuous user demands. MEC has emerged as an essential paradigm for handling consistent user demand and caching videos in user proximity. The problem is to understand how user demand pattern varies with time. This paper analyzes three publicly available datasets, MovieLens 20M, MovieLens 100K, and The Movies Dataset, to find the user request pattern over time. We find hourly, daily, monthly, and yearly trends of all the datasets. Our resulted pattern could be used in other research while generating and analyzing the user request pattern in MEC-based video caching scenarios.