scholarly journals Flexible and cost efficient power consumption using economic MPC a supermarket refrigeration benchmark

2011 ◽  
Author(s):  
Tobias Gybel Hovgaard ◽  
Lars F. S. Larsen ◽  
John Bagterp Jorgensen
Keyword(s):  
Power Consumption ◽  
Cost Efficient ◽  
Efficient Power

Cost Efficient Power Electronic Led Headlamp for Automotive

2021 ◽  
Author(s):  
Lalit Ahuja ◽  
Anshul Tyagi ◽  
Arti Tare ◽  
Nancy Das ◽  
Yashas Shetty ◽  
...  
Keyword(s):  
Power Electronic ◽  
Led Headlamp ◽  
Cost Efficient ◽  
Efficient Power

Neural Network Inversion-Based Model for Predicting an Optimal Hardware Configuration

2021 ◽  
Vol 13 (2) ◽  
pp. 95-117
Author(s):  
Mirvat Mahmoud Al-Qutt ◽  
Heba Khaled ◽  
Rania El Gohary
Keyword(s):  
Neural Network ◽  
Power Consumption ◽  
High Performance ◽  
Function Optimization ◽  
Machine Learning Techniques ◽  
Problem Size ◽  
Neural Network Inversion ◽  
Computationally Intensive ◽  
Prediction Systems ◽  
Efficient Power

Deciding the number of processors that can efficiently speed-up solving a computationally intensive problem while perceiving efficient power consumption constitutes a major challenge to researcher in the HPC high performance computing realm. This paper exploits machine learning techniques to propose and implement a recommender system that recommends the optimal HPC architecture given the problem size. An approach for multi-objective function optimization based on neural network (neural network inversion) is employed. The neural network inversion approach is used for forward problem optimization. The objective functions in concern are maximizing the speedup and minimizing the power consumption. The recommendations of the proposed prediction systems achieved more than 89% accuracy for both validation and testing set. The experiments were conducted on 2500 CUDA core on Tesla K20 Kepler GPU Accelerator and Intel(R) Xeon(R) CPU E5-2695 v2.

Efficient Power Allocation in E-MBMS Enabled 4G Networks

2010 ◽  
pp. 458-488
Author(s):  
Antonios Alexiou ◽  
Christos Bouras ◽  
Vasileios Kokkinos
Keyword(s):  
Power Consumption ◽  
Lte Networks ◽  
Multicast Service ◽  
4G Networks ◽  
High Penetration ◽  
Standardization Process ◽  
Selection Mechanisms ◽  
Efficient Power ◽  
Multimedia Broadcast Multicast Service

The plethora of mobile multimedia services that are expected to face high penetration, poses the need for the deployment of a resource economic scheme in Long Term Evolution (LTE) networks. To this direction, the Evolved - Multimedia Broadcast / Multicast Service (E-MBMS) is envisaged to play an instrumental role for LTE proliferation and set the basis for a successful 4th Generation (4G) standardization process. One of the most critical aspects of E-MBMS performance is the selection of the most efficient radio bearer, in terms of power consumption. This chapter presents the prevailing radio bearer selection mechanisms and examines their performance in terms of power consumption. Furthermore, it discusses problems regarding the high power requirements for the realization of E-MBMS and evaluates the proposed techniques/solutions. Finally, this chapter presents a novel mechanism for efficient power control during E-MBMS transmissions that conforms to LTE requirements for simultaneous provision of multiple multimedia sessions.

scholarly journals Wireless Ultrasound Surgical System with Enhanced Power and Amplitude Performances

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4165 ◽  
Author(s):  
Jungsuk Kim ◽  
Kiheum You ◽  
Sun-Ho Choe ◽  
Hojong Choi
Keyword(s):  
Power Consumption ◽  
Piezoelectric Material ◽  
Battery Management System ◽  
Battery Management ◽  
Poling Process ◽  
Custom Made ◽  
Reduced Instruction Set Computer ◽  
Efficient Power ◽  
Reduced Power Consumption ◽  
Surgical System

A wireless ultrasound surgical system (WUSS) with battery modules requires efficient power consumption with appropriate cutting effects during surgical operations. Effective cutting performances of the ultrasound transducer (UT) should be produced for ultrasound surgical knives for effective hemostasis performance and efficient dissection time. Therefore, we implemented a custom-made UT with piezoelectric material and re-poling process, which is applied to enhance the battery power consumption and output amplitude performances of the WUSS. After the re-poling process of the UT, the quality factor increased from 1231.1 to 2418 to minimize the unwanted heat generation. To support this UT, we also developed a custom-made generator with a transformer and developed 2nd harmonic termination circuit, control microcontroller with an advanced reduced instruction set computer machine (ARM) controller, and battery management system modules to produce effective WUSS performances. The generator with a matching circuit in the WUSS showed a peak-to-peak output voltage and current amplitude of 166 V and 1.12 A, respectively, at the resonant frequency. The performance with non-contact optical vibrators was also measured. In the experimental data, the developed WUSS reduced power consumption by 3.6% and increased the amplitude by 20% compared to those of the commercial WUSS. Therefore, the improved WUSS performances could be beneficial for hemostatic performance and dissection time during surgical operation because of the developed UT with a piezoelectric material and re-poling process.

scholarly journals Wake Lock Leak Detection in Android Apps Using Multi-Layer Perceptron

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2211
Author(s):  
Muhammad Umair Khan ◽  
Scott Uk-Jin Lee ◽  
Zhiqiang Wu ◽  
Shanza Abbas
Keyword(s):  
Power Consumption ◽  
Multi Layer Perceptron ◽  
Call Graph ◽  
Android Apps ◽  
Application Programming ◽  
Android Applications ◽  
Resource Leak ◽  
Mlp Model ◽  
Efficient Power ◽  
Programming Interfaces

With the proliferation of mobile devices, the popularity of Android applications (apps) has increased exponentially. Efficient power consumption in a device is essential from the perspective of the user because users want their devices to work all day. Developers must properly utilize the application programming interfaces (APIs) provided by Android software development kit to optimize the power consumption of their app. Occasionally, developers fail to relinquish the resources required by their app, resulting in a resource leak. Wake lock APIs are used in apps to manage the power state of the Android smartphone, and they frequently consume more power than necessary if not used appropriately (also called energy leak). In this study, we use a multi-layer perceptron (MLP) to detect wake lock leaks in Android apps because the MLP can solve complex problems and determine similarities in graphs. To detect wake lock leaks, we extract the call graph as features from the APK and embed the instruction and neighbor information in the node’s label of the call graph. Then, the encoded data are input to an MLP model for training and testing. We demonstrate that our model can identify wake lock leaks in apps with 99% accuracy.

scholarly journals Efficient Power Control Framework for Small-Cell Heterogeneous Networks

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1467
Author(s):  
Qais Alsafasfeh ◽  
Omar A. Saraereh ◽  
Ashraf Ali ◽  
Luae Al-Tarawneh ◽  
Imran Khan ◽  
...  
Keyword(s):  
Power Consumption ◽  
Power Control ◽  
Heterogeneous Networks ◽  
Reducing Power ◽  
Control Policy ◽  
Small Cell ◽  
Base Stations ◽  
Fifth Generation ◽  
Control Framework ◽  
Efficient Power

Heterogeneous networks are rapidly emerging as one of the key enablers of beyond fifth-generation (5G) wireless networks. It is gradually becoming clear to the network operators that existing cellular networks may not be able to support the traffic demands of the future. Thus, there is an upsurge in the interest of efficiently deploying small-cell networks for accommodating a growing number of user equipment (UEs). This work further extends the state-of-the-art by proposing an optimization framework for reducing the power consumption of small-cell base stations (BSs). Specifically, a novel algorithm has been proposed which dynamically switches off the redundant small-cell BSs based on the traffic demands of the network. Due to the dynamicity of the formulated problem, a new UE admission control policy has been presented when the problem becomes infeasible to solve. To validate the effectiveness of the proposed solution, the simulation results are compared with conventional techniques. It is shown that the proposed power control solution outperforms the conventional approaches both in terms of accommodating more UEs and reducing power consumption.

Sign in / Sign up

Export Citation Format

Share Document