A study on the effects of temperature and loading on the power consumption in energy recovery resonant clocking

2009 ◽  
Author(s):  
S. E. Esmaeili ◽  
A. J. Al-Khalili ◽  
G. E. R. Cowan
Keyword(s):  
Power Consumption ◽  
Energy Recovery ◽  
Resonant Clocking ◽  
Effects Of Temperature

scholarly journals ROBUST AND SECURE S-BOX DESIGN WITH GATED HYBRID ENERGY RECOVERY LOGIC (GHERL) FOR IOT APPLICATIONS

10.6036/10108 ◽  
2022 ◽  
Vol 97 (1) ◽  
pp. 79-84
Author(s):  
RUBAN GLADWIN ◽  
NEHRU KASTHURI
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Cyber Security ◽  
Energy Recovery ◽  
High Energy ◽  
Leakage Power ◽  
Handheld Devices ◽  
Power Gating ◽  
Hybrid Energy ◽  
Adiabatic Logic

The smart Internet of Things (IoT) network relies heavily on data transmission over wireless channels. Hence, it should be designed to be robust against the attacks from hackers and antagonists. The confidentiality in IoT devices is directly proportional to the complexity and power consumption. To mitigate these issues, this paper proposes a secure Substitution Box (S-Box) design that is exploited in the IoT for cyber security applications. The S-Box is based on Gated Hybrid Energy Recovery Logic (GHERL) that is an amalgamation of two different techniques as adiabatic logic and power gating. Adiabatic logic is preferred to attain high energy efficiency in practical applications such as portable and handheld devices. Power gating technique is preferred to reduce the leakage power and energy consumption. The proposed GHERL XOR gate and S-Box are implemented with 125nm technology in Tanner EDA tool. The consequences of the experiments exhibits that the novel S-Box design with GHERL XOR decreases the power consumption by 1.76%, 35.26%, 36.81%, 41.01% and reduces the leakage power by 58.54%, 20.27%, 27.38%, 13.63% when compared with the existing techniques such as S-Box with sleep transistor, dual sleep transistor, dual-stack and sleepy keeper approach. Keywords: Adiabatic logic, Power Gating, Internet of Things, S-Box

Prediction of OLED Temperature Distribution Based on Neural Network

2021 ◽  
Author(s):  
S. F. Lin ◽  
Paul C.-P. Chao
Keyword(s):  
Neural Network ◽  
Temperature Distribution ◽  
Power Consumption ◽  
Prediction Error ◽  
Prediction Method ◽  
Temperature Sensors ◽  
Temperature Prediction ◽  
Effects Of Temperature ◽  
Model Training ◽  
Error Method

Abstract In recent years, the market share of OLED screens has increased year by year. Compared with traditional LCD screens, the advantages of OLED screens with bright colors and lower power consumption are attributed to the fact that LCD needs a backlight LED as the light source, and the pixels of the OLED screen emit light by themselves, so the power consumption of OLED is reduced and the thickness becomes thinner. In addition to the above reasons, OLED has a special advantage, that is, OLED can be bent, so the use of OLED screens is becoming more and more popular, and has even exceeded LCD screens usage rate. Although OLED has many advantages, it still has some disadvantages that need to be improved. OLED has a short lifetime. After a period of use, the luminance of the OLED will degrade, and the luminance degradation experienced by the different region of OLED screen is different, called differential aging, so it will cause burn-in. There have been some studies on OLED luminance degradation, including research on OLED luminance degradation under different temperature conditions, but they have not discussed the effects of temperature in different areas of a panel. Therefore, this paper will discuss the temperature prediction for different regions of an OLED panel. The temperature prediction of the OLED panel is based on the four temperature sensors installed at the rear of the OLED panel and the picture displayed on the panel at the time. The prediction method is neural network that uses pre-collected data for model training. After the training is completed, the temperature distribution of the OLED panel is predicted based on the four temperature sensors and displayed pictures. The prediction error method uses mean square error, and the error value obtained is less than 0.2°C.

scholarly journals Innovative Energy-Recovery Unit for the LED-Lighting System of Heavy-Duty Vehicles

2021 ◽  
Vol 3 (3) ◽  
pp. 581-593
Author(s):  
Nena Apostolidou ◽  
Fotis Valsamas ◽  
Dimitris Baros ◽  
Michael Loupis ◽  
Vasilios Dasteridis ◽  
...  
Keyword(s):  
Power Consumption ◽  
Energy Recovery ◽  
Control Unit ◽  
Industrial Product ◽  
Central Control ◽  
Lighting System ◽  
Heavy Duty ◽  
Central Control Unit ◽  
Led Lighting ◽  
Heavy Duty Vehicles

In this work, the development of an energy recovery control unit to be incorporated in the light-emitting diodes (LEDs) lighting systems of heavy-duty vehicles is presented. This innovative industrial product adopts modern power electronics technology to improve existing trucks’ LED lighting system by eliminating the so far inevitable power consumption by the conventional central control unit of the majority of these vehicles, which is obligatory for the uninterruptable operation of their lighting system. The main idea of this innovative product is its capability to virtually increase the lighting system power consumption without actually consuming this amount of energy, thus facilitating the central control unit requirements regarding these vehicles in an energy-conscious way. Under this light, a mature power converter’s topology is employed to draw the proper amounts of power from the vehicle’s batteries supply, to the level that the central control unit recognizes, and return this energy back to the batteries. The tests results of the developed industrial product highlight the energy saving potential of the proposed energy recovery scheme, while the Life Cycle Cost Analysis (LCCA) results confirm its techno-economical and environmental profit for the truck applications under study.

A Robust Variable Valve Actuation System With Energy Recovery Mechanism

2012 ◽  
Author(s):  
Mohammad Pournazeri ◽  
Amir Khajepour
Keyword(s):  
Power Consumption ◽  
Energy Recovery ◽  
Engine Valve ◽  
Variable Valve Actuation ◽  
Actuation System ◽  
Return Spring ◽  
Valve Opening ◽  
System Robustness ◽  
Variable Valve ◽  
Valve Actuation

In this paper, a new hydraulic variable valve actuation system is proposed. Using this system, the engine valve opening and closing timings and lift are flexibly controlled with two rotary spool valves actuated by the engine crankshaft. High degree of flexibility with less control complexity and high repeatability are the advantages of this system over other camless valvetrains; however, in this system, there is a trade-off between its robustness and power consumption. A numerical model of the system is developed to study the system functionality at different operating conditions. To validate the developed model, the simulation results for a random operating condition are compared with those from the experiments. A sensitivity analysis is done to study the effects of variations in different design parameters on system robustness and power consumption. The results prove that increasing engine valve return-spring stiffness and actuator piston area will reduce the mechanism sensitivity to engine cycle-to-cycle variations; however, this results in poor energy efficiency. Therefore, a neat energy recovery strategy is developed to recuperate a portion of the energy used to compress the engine valve return-spring during valve opening interval. The results show that more than 90% of the extra energy wasted for the sake of system robustness could be regenerated through the proposed energy recovery system.

Design of the Approved Low Power Energy Recovery Logic Circuit

2013 ◽  
Vol 662 ◽  
pp. 851-855
Author(s):  
Jian Ying Shi ◽  
Hui Ya Li ◽  
Yan Bin Xu
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Energy Recovery ◽  
Logic Circuits ◽  
Logic Circuit ◽  
Lower Power ◽  
Transmission Gate ◽  
Bootstrap Technique

An approved energy recovery logic circuit (AERL) was designed in this paper. In order to further reduce the power consumption of energy recovery logic circuits, the NMOS transmission gate and NMOS bootstrap technique ware used. The characteristics of the AERL circuit ware simulated using 0.5 micrometer BSIM3V3 spice models in HSPICE. The results show that the AERL circuit has much lower power consumption compared with PT-BCRL, BERL, ECRL and 2N2N-2P logic.

Design of Ternary Clocked Adiabatic Synchronous Reversible Counter

2011 ◽  
Vol 88-89 ◽  
pp. 154-159
Author(s):  
Feng Na Mei ◽  
Peng Jun Wang
Keyword(s):  
Computer Simulation ◽  
Power Consumption ◽  
Energy Recovery ◽  
Average Power ◽  
Logic Function ◽  
Design Scheme ◽  
Average Power Consumption ◽  
Circuit Structure ◽  
Simulation Results ◽  
Nmos Transistors

Based on the study of synchronous counter and adiabatic circuits, a new design scheme of ternary adiabatic synchronous reversible counter is proposed. According to the theory of three essential circuit elements, circuit structure of four-bit ternary adiabatic synchronous reversible counter is realized by using NMOS transistors with different thresholds and cross-storage structure and combining with the principle of energy recovery. Computer simulation results indicate that the designed circuits have correct logic function. Compared with traditional CMOS counter, the average power consumption of circuits saves up to 67.5%.

Compositional Tuning of Negative Differential Resistance in Bulk Silver Iodide Memristor

2020 ◽  
Author(s):  
SMITA GAJANAN NAIK ◽  
Mohammad Hussain Kasim Rabinal
Keyword(s):  
Power Consumption ◽  
Negative Differential Resistance ◽  
Silver Iodide ◽  
Differential Resistance ◽  
Fast Response ◽  
Low Power Consumption ◽  
Switching Effect ◽  
Memory Switching ◽  
Bulk Silver ◽  
Emerging Memory

Electrical memory switching effect has received a great interest to develop emerging memory technology such as memristors. The high density, fast response, multi-bit storage and low power consumption are their...

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