Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mechanical Efficiency of Real Machines

Mechanical Efficiency of Real Machines

The mechanical efficiency of a machine is a fundamental concept that describes how effectively a machine can convert input work into output work. According to this concept, the efficiency of a machine is equal to the ratio of the output work to the input work. An ideal machine, meaning a machine that has no energy losses, has an efficiency of one. This implies that the input work and the output work are equal.
However, in reality, no machine can be truly ideal, and all of them experience some...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

CMDPC_OBB: A Large-Scale Image Dataset for Coal Mine Drill Pipe Counting based on Oriented Bounding Box.

Scientific data·2026

Same author

Disentangled contrastive learning for fair graph representations.

Neural networks : the official journal of the International Neural Network Society·2024

Same author

GTR: An SQL Generator With Transition Representation in Cross-Domain Database Systems.

IEEE transactions on neural networks and learning systems·2023

Same author

A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization.

Artificial intelligence in medicine·2019

Same author

Attenuation of lipopolysaccharide-mediated left ventricular dysfunction by glutamine preconditioning.

The Journal of surgical research·2009

Same author

Differential regulation of Apak by various DNA damage signals.

Molecular and cellular biochemistry·2009

Same journal

Near-bank vegetation patches reorganize hyporheic exchange pathways and spatiotemporal organization in near-bank zones.

Journal of environmental management·2026

Same journal

Decadal restructuring of driving forces for macroinvertebrate communities in China's Greater Bay Area.

Journal of environmental management·2026

Same journal

Global urban impacts of future climate extremes: Projections of heatwaves, droughts, and floods.

Journal of environmental management·2026

Same journal

A multi-method framework for unveiling nonlinear and interactive drivers of vegetation restoration: a case study in the South China Karst.

Journal of environmental management·2026

Same journal

Ecosystem functions and network complexity do not increase linearly with restoration levels on China's loess plateau.

Journal of environmental management·2026

Same journal

Preserving bare mudflats reduces methane emissions: Implications for coastal wetland management.

Journal of environmental management·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 22, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

An urban energy performance evaluation system and its computer implementation.

Lei Wang¹, Guan Yuan², Ruyin Long¹

¹School of Management, China University of Mining and Technology, No.1 Daxue Road, Xuzhou, Jiangsu, 221116, China.

Journal of Environmental Management

|September 30, 2017

Summary

This summary is machine-generated.

A new urban energy performance evaluation system was developed to assess and enhance city energy efficiency. This system, utilizing improved stochastic frontier analysis, aids urban environmental management and policy-making.

Keywords:

Evaluation and factor analysis model Evaluation system Microsoft Visual Studio Stochastic frontier analysis Urban energy performance

More Related Videos

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Related Experiment Videos

Last Updated: Feb 22, 2026

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Area of Science:

Environmental Science
Urban Planning
Energy Management

Background:

Urban environments face challenges in energy performance assessment.
Effective urban environmental management requires robust evaluation tools.
Previous studies lacked integrated approaches for performance and factor analysis.

Purpose of the Study:

To develop an urban energy performance evaluation system.
To identify key factors influencing urban energy performance.
To strengthen urban environmental management capabilities.

Main Methods:

Proposed a framework of evaluation indicators and key factors.
Employed improved stochastic frontier analysis for integrated evaluation and factor analysis.
Developed a system with a database, component server, and human-machine interface.

Main Results:

Calculated coefficients for evaluation indicators and key factors using Chinese provincial capital data (2004-2013).
Developed a functional evaluation system with features like data input, analysis, and comparison.
Empirical study in Beijing validated the system's applicability and convenience.

Conclusions:

The developed system effectively reflects urban energy performance status and changes.
The system provides a valuable tool for urban environmental management and policy.
Integrated performance and factor analysis enhances understanding of urban energy dynamics.