Evaluation for Effectiveness of Individual Lighting Control using Image-based Motion Sensor

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multifeedback model for energysaving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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Intelligent Lighting Control System in Large-Scale Sports Competition Venues

Light & Engineering ◽

10.33383/2018-127 ◽

2018 ◽

pp. 172-182 ◽

Cited By ~ 1

Author(s):

Shengmin CAO

Keyword(s):

Control System ◽

Large Scale ◽

Comprehensive Evaluation ◽

Evaluation Model ◽

Fuzzy Comprehensive Evaluation ◽

Practical Significance ◽

Lighting Control ◽

Sports Events ◽

Planning And Design ◽

Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a largescale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multilevel fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of largescale sports competition venues.

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An Office Lighting Control System based on Employee Entry/Exit State

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1356 ◽

2013 ◽

Vol 133 (7) ◽

pp. 1356-1366 ◽

Cited By ~ 3

Author(s):

Yosuke Kaneko ◽

Shinji Kitagami ◽

Akihisa Yasuda ◽

Tomoya Takenaka ◽

Masahito Matsushita ◽

...

Keyword(s):

Control System ◽

Lighting Control ◽

Office Lighting ◽

Exit State

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AUTOMATIC HEAD-MOVEMENT CONTROLLED WHEELCHAIR

June-2020 - International Journal of Engineering Sciences & Research Technology ◽

10.29121/ijesrt.v9.i10.2020.7 ◽

2020 ◽

Vol 9 (10) ◽

pp. 62-67

Keyword(s):

Head Movement ◽

Motion Sensor ◽

Electric Wheelchair ◽

Wheel Chair ◽

Head Band

This project is regarding the Motion controlled wheelchair for disabled. We are going to control motorized wheelchair using a head band having motion sensor and Arduino as controller. Problem: “often disabled who cannot walk find themselves being burden for their families or caretakers just for moving around the house. Disabled who are paralysed below head, who may not have functioning arms cannot control joystick controlled electric wheelchair.” This project is to solve their problem using a motion sensor to control their wheelchair. We are aiming towards building a more affordable, unique, low maintenance and available for all kind of head-controlled wheel chair.

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A New Deprocess Flow of Failure Analysis for MEMS Motion Sensor

ISTFA 2013: Conference Proceedings from the 39th International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2013p0540 ◽

2013 ◽

Author(s):

Chun-An Huang ◽

Han-Yun Long ◽

King-Ting Chiang ◽

Li Chuang ◽

Kevin Tsui

Keyword(s):

Failure Analysis ◽

Optical Microscopy ◽

Motion Sensor ◽

Thermal System ◽

Layer By Layer ◽

Sensor Failure ◽

Process Flow ◽

New Process ◽

Cutting System ◽

Successful Observation

Abstract This paper demonstrates a new de-process flow for MEMS motion sensor failure analysis, using layer by layer deprocessing to locate defect points. Analysis tools used in this new process flow include IR optical microscopy, thermal system, SEM and a cutting system to de-process of MEMS motion sensor and successful observation defect points.

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