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Real - time traffic light recognition with deep learning
Rusyadi, RusmanFransiska

Due to the high number of car accidents caused by human error, the development of Automated Driver Assistance System (ADAS) has become an integral part in road safety. By improving the driver

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2961
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Adaptive tuning steering control for self-driving car
Rusyadi, RusmanWidjaja, BennyKristy, Felicia

Human beings always strive for increased productivity from time to time. In order to achieve that, one of the most recently developed technologies is self-driving car. Therefore, there is a need to…

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2960
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Performance test of dc electric motors
Widjaja, BennySantosa, EricManurung, Edward Boris P.

The main purpose of this research is to develop a bench test to find the real-world specification of the Electric DC Motors. The main focus of this project is to find the efficiency of the DC elect…

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2959
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Creating an interactive visual instruction procedure for plc in a hololens
Rusyadi, RusmanSchwung, AndreasSunaringtyas, Dimitri Nathanael

In this thesis, an application is created for the HoloLens, a head wear which enables users to experience mixed reality. The application proves that it is plausible to create an interactive visual …

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2958
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Developing the furnace and controlling the temperature for plastic waste pyro…
Widjaja, BennyUmniyati, YunitaChanjaya, Dean Febrius

People nowadays start to concern about plastic pollution. Some of them has started to create a machine that able to produce a new energy from plastic waste. Most of them create a pyrolysis machine …

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2957
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Laboratory for Power Economics and Power Systems, Fachhochschule Südwestfale…
Louiscious, Heverett

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Praxis-Klinik Hyperthermie & Supportive Care, Parmenides Ärzte GmbH - Dr. Sa…
Genilar, Leticia Andina

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Praxis-Klinik Hyperthermie & Supportive Care, Parmenides Ärzte GmbH - Dr. Sa…
Widjaja, Samantha Tiara

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Monitoring of water quality by implementing internet of things and autonomous…
Sinaga, Erikson F.Rusli, LeonardEdison, Davin

Aquaculture in Indonesia has begun to improve rapidly from time to time. However, most of aquaculture practitioners still use conventional method on monitoring the water most important aspect of th…

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2956
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Conditional monitoring of industrial processes with deep neural networks
Rusyadi, RusmanSchwung, AndreasGlen, Chosua

In this paper a condition monitoring an in industrial processes is made with deep learning algorithm, with data served from IEEE PHM Challenge of the bearings

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