检索结果-内蒙古大学图书馆

Electrification of Transportation: Policy Framework, Technical Aspects and Challenges in Pakistan - A Case Study

e-Prime - Advances in Electrical engineering, Electronics and Energy 2024年 10卷

作者： Masood, Arsalan Hassan, Syed Zulqadar Kamal, Tariq Khan, Salman Rizvi, Syed Asad Abbas Salman, Salman Department of Electrical Engineering Faculty of Engineering and Architecture University of Sialkot Pakistan Department of Computer Science Faculty of Information Technology and Computer Science University of Central Pubjab Lahore Pakistan School of Technology and Innovations Electrical Engineering University of Vaasa Vaasa Finland Department of Electrical Power Engineering and Mechatronics Tallinn University of Technology Estonia State Key Lab. for Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University) Beijing China Department of Electrical Engineering Balochistan University of Engineering and Technology Balochistan Khuzdar Pakistan

Pakistan faces severe air pollution and high dependency on imported fossil fuels for transportation, urgently needing solutions. Electrification of transportation could address these issues, but Pakistan lacks a clear roadmap for adopting electric vehicles. This paper examines the electrification of transportation in Pakistan, focusing on policies, technical aspects, and standards. It looks at best practices from developed countries and discusses incentives offered by the Pakistani government to boost electric vehicle adoption. The study also explores challenges and opportunities in adopting electric vehicles within existing power systems. A SWOT analysis is included, highlighting strengths, weaknesses, opportunities, and threats related to electric vehicle policies and market integration in Pakistan. By reviewing these factors, the paper provides insights into the obstacles and potential benefits of electric vehicle adoption. It also suggests ways for developing nations like Pakistan to encourage widespread use of electric vehicles, aiming to reduce fossil fuel dependency and meet environmental goals. © 2024

关键词： Electric transportation Electric vehicles Key challenges Policy SWOT analysis

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Applications in Nonlinear Material Physics

Machine Learning Applications in Nonlinear Material Physics

引用

2024 International Conference on Communication, Computing and Energy Efficient Technologies, I3CEET 2024

作者： Dilip Kumar, K. Vinoth, N. Shingare, S.P. Sharma, Ankita Munirathinam, S. Selvaraj, A. Department of Mechanical Engineering Karnataka Nitte India Chennai Institute of Technology Department of Mechatronics Chennai India Bharati Vidyapeeth College of Engineering Department of Chemical Engineering Navi Mumbai400614 India Sgt University Department of Cse India Department of Mathematics Tamil Nadu Hosur India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Mathematics Tamil Nadu Chennai India

ISBN: (纸本)9798331541583

Researchers and developers can accelerate the maturation of new materials, technology, or process by applying machine learning techniques. In the area of materials science, one top goal of using such techniques is to better identify and elucidate significant characteristics at different scale steps in the course from manipulate, organization, personalities and presentation. This article outlines how to use automated learning and statistics for addressing select difficulties in continuous materials mechanics. These applications are classified according to the nature of what they do: descriptive, predictive and prescriptive- resembling a narrative based on historical data;trying to predict outcomes at future points in time from observations;or suggesting how business decisions could lead tangible changes for optimizing important features. The choice of the most appropriate machine learning method is determined by elements like use-case, content type, data form and shape complexity (regular, irregular or nature-based/point cloud architecture), geographical AND temporal scales involved;formats used for input-output and knowledge gain we are after apart from usable computing cost. Examples include the use of many artificially constructed share network structures with each other on a need-basis and alongside more data-driven approaches like elementary component evaluation, decisions shrubs, models, woods (or trees), supported learner matrix etc Gaussian learners. © 2024 IEEE.

关键词： Microstructure

来源：评论

学校读者我要写书评

暂无评论

Automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism

引用

Scientific Reports 2024年第1期14卷 1-15页

作者： Chen, Yu-Chieh Chu, Jing-Fang Hsieh, Kuang-Wen Lin, Tzung-Han Chang, Pei-Zen Tsai, Yao-Chuan Institute of Applied Mechanics National Taiwan University Department of Bio-Industrial Mechatronics Engineering National Chung Hsing University Smart Sustainable New Agriculture Research Center (SMARTer) Graduate Institute of Color and Illumination Technology National Taiwan University of Science and Technology

Wild bird repulsion is critical in agriculture because it helps avoid agricultural food losses and mitigates the risk of avian influenza. Wild birds transmit avian influenza in poultry farms and thus cause large economic losses. In this study, we developed an automatic wild bird repellent system that is based on deep-learning-based wild bird detection and integrated with a laser rotation mechanism. When a wild bird appears at a farm, the proposed system detects the bird’s position in an image captured by its detection unit and then uses a laser beam to repel the bird. The wild bird detection model of the proposed system was optimized for detecting small pixel targets, and trained through a deep learning method by using wild bird images captured at different farms. Various wild bird repulsion experiments were conducted using the proposed system at an outdoor duck farm in Yunlin, Taiwan. The statistical test results of our experimental data indicated that the proposed automatic wild bird repellent system effectively reduced the number of wild birds in the farm. The experimental results indicated that the developed system effectively repelled wild birds, with a high repulsion rate of 40.3% each day. © The Author(s) 2024.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of Cell Membrane Perforator for Large-Scale Application of Photochemical Cell Membrane Perforation by Continuous Processing

Development of Cell Membrane Perforator for Large-Scale Appl...

引用

International Symposium on Micromechatronics and Human Science (MHS)

作者： Sota Ochiai Kohei Kobayashi Takashi Kei Saito Department of Integrated System Engineering Akita Prefectural University Graduate School of Systems Science and Technology 84-4 Tsuchiya Ebinokuchi Yurihonjo-City Akita Japan Department of Intelligence Mechatronics Faculty of Systems Science and Technology Akita Prefectural University 84-4 Tsuchiya Ebinokuchi Yurihonjo-City Akita Japan

ISBN: (数字)9798331540579

ISBN: (纸本)9798331540586

Photochemical cell membrane perforation is a technique that introduces substances directly into large numbers of cells and has a low cytotoxic effect. Among several cell modification techniques, this method is more efficient, since it can perforate a group of cells rather than an individual cell. It is also characterized by a high cell survival rate because the perforation is performed using oxidative treatment so that cells can repair themselves. To further expand this technology on a larger scale, we aimed to shift from batch processing to flow processing. In particular, the perforator, which had a flat shape in the past, was changed to a cylindrical shape, and a mechanism was developed for cell modification by passing a mixture of cells and transfection components between the perforator and two rotating cylinders on the receiving side.

关键词： Shape Transfection Batch production systems Maintenance engineering

来源：评论

学校读者我要写书评

暂无评论

Use of Recurrent Neural Networks for Mean Blood Pressure Prediction Based on Impedance Cardiography Measurements

Use of Recurrent Neural Networks for Mean Blood Pressure Pre...

引用

Computers in Cardiology (CinC)

作者： Marek Żyliński Wiktor Niewiadomski Gerard Cybulski Institute of Metrology and Biomedical Engineering Faculty of Mechatronics Warsaw University of Technology Warsaw Poland Mossakowski Medical Research Centre PAS Warsaw Poland

In this paper we tried to predict value of mean blood pressure (MAP) basing on time series of measurements: maximum of Z first time derivative, (dZ/dtma), ejection time (ET), basal impedance Z (ZO) stroke volume (SV) and heart rate (HR) obtained non-invasively for every heartbeat with impedance cardiography (ICG). Continuous non-invasive measurements of MAP was accomplished with blood pressure monitor that uses the volume-clamp method. We used signals recorded in 10 young, healthy subjects, when performing three minutes handgrip test followed by two minutes of recovery. We used simple neural network model being a combination of the long short-term memory layer with the dense output layer. We divided data into sequences (data from 10 cardiac cycles and subsequent single MAP value as desired output). The best result, expressed as the mean absolute error, obtained with the neural network used by us was 0.4 after normalization of data. This result may indicate that the neural network used in this study was unable to predicted MAP value from ICG signal or that this signal do not provide sufficient information for correct estimation of MAP.

关键词： Impedance measurement Recurrent neural networks Volume measurement Time series analysis Blood pressure Time measurement Pressure measurement

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Models for Energy Consumption Forecasting in Power Generation

Machine Learning Models for Energy Consumption Forecasting i...

引用

IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Samuel-Soma M. Ajibade Angela Lee Siew Hoong Muhammed Basheer Jasser Adedotun O. Adetunla Anthonia Oluwatosin Adediran Department of Data Science and Artificial Intelligence School of Engineering and Technology Sunway University Selangor Malaysia Research Centre for Nanomaterials and Energy Technology (RCNMET) Sunway University Selangor Malaysia Dept. of Mechanical and Mechatronics Engineering Afe Babalola University Ado Ekiti Nigeria Dept. of Mechanical Engineering Science University of Johannesburg Johannesburg South Africa Department of Real Estate Faculty of Built Environment Universiti Malaya Kuala Lumpur

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

The application of machine learning for power-related purposes represents a novel notion in artificial intelligence for predicting power generation. While prediction models are employed to forecast various global situations, their application in predicting energy-related themes will be distinctive and specialized. Scholars and AI engineers, in collaboration with professionals in the energy sector, are conducting investigations to develop AI models that assist in their work. Consequently, due to the distinct nature of the situation and the diversity of datasets, several AI models are chosen and built to aid in their tasks. This study examines the application of AI models for enhancing energy efficiency in power generating in Malaysia. A Linear Regression model and an Artificial Neural Network are developed to forecast future power consumption across various industries in Malaysia, compute the growth rate and average growth rate of the projected energy consumption, and identify a viable area for investment. It also formulates a power strategy based on the aggregate anticipated energy usage. Both models are developed, analyzed, and compared to ascertain the most suitable model for this scenario.

关键词： Energy consumption Computational modeling Linear regression Machine learning Artificial neural networks Predictive models Energy efficiency Data models Forecasting Power generation

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Redox Active Cu-Mof and Co-Mof as Electrode Materials for Battery-Supercapacitor Type Hybrid Energy Storage Devices

SSRN

引用

SSRN 2022年

作者： Iqbal, Muhammad Zahir Khan, Muhammad Waqas Shaheen, Misbah Siddique, Salma Aftab, Sikandar Nanotechnology Research Laboratory Faculty of Engineering Sciences GIK Institute of Engineering Sciences and Technology Topi Khyber Pakhtunkhwa 23640 Pakistan Center of Excellence in Solid State Physics University of Punjab Quaid e Azam Campus Lahore54590 Pakistan Department of Intelligent Mechatronics Engineering School of Intelligent Mechatronics Engineering Sejong University Korea Republic of

The emerging supercapattery imparts optimum electrochemical performance by synchronizing the admirable power density and cyclic stability of supercapacitor with high energy density characteristic of batteries. The strong bonds of a metal center with organic linker give rise to a unique group of porous materials known as metal organic frameworks (MOFs). Here, we state the synthesis and electrochemical analyzations of copper-MOF and cobalt-MOF. The initial specific capacity revealed in three electrode assembly for Cu-MOF and Co-MOF was 451 C g -1 and 103 C g -1 at 3 mV s -1 respectively. Owing to the favorable characteristics of Cu-MOF, a supercapattery device was fabricated as Cu-MOF//activated carbon. The device exhibited an energy and power density of 41 Wh g -1 and 510 W kg -1 respectively with a reversible capacity retention of 92% and coulombic efficiency of 99%. Moreover, to elucidate the capacitive and diffusive contribution of the battery-supercapacitor, Dunn’s model was adapted. The favorable properties of Cu-MOF electrode as battery grade material may be adapted for future energy storage applications. © 2022, The Authors. All rights reserved.

关键词： Supercapacitor

来源：评论

学校读者我要写书评

暂无评论

Portable Face-Shielding Device Based on sEMG Considering the COVID-19 Scenario

引用

Journal of Healthcare engineering 2023年第1期2023卷 8231073页

作者： Lyu, Tian Liu, Dong Yang Shao, Chen Zhang, ZiJie School of Mechatronics Engineering Beijing Institute of Technology Beijing100081 China Cardiff University CF24 3AA United Kingdom School of Mechanical Engineering Xi’an Jiaotong University Xi’an710049 China City University of Hong Kong Hong Kong999077 Hong Kong

Wearing a mask greatly reduced the possibility of infection during the COVID-19 pandemic. However, major inconveniences occur regarding patients with upper limb amputations, as they cannot independently wear masks. As a result, bacterial contamination is caused by medical staff touching the quilt when helping. Furthermore, this effect can occur with ordinary people due to accidental touch. This research aims to design an automatic and portable face shield assistive device based on surface electromyography (sEMG) signals. A concise face shield-wearing mechanism was built through 3D printing. A novel decision-making control method regarding a feature extraction model of 16 signal features and a Softmax classification neural network model were developed and tested on an STM32 microcontroller unit (MCU). The optimized electrode was fabricated using a carbon nanotube (CNT)/polydimethylsiloxane (PDMS). The design was further integrated and tested, showing a promising future for further implementation. Copyright © 2023 Tian Lyu et al.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Experimental investigation of lost foam casting process on aluminium 2nd

Experimental investigation of lost foam casting process on a...

引用

2nd International Conference on Functional Materials, Manufacturing and Performances, ICFMMP 2021

作者： Ramesh, R. Mohan, S. Sivakumar, N.S. Bruhathi, M. Arun Kumar, S. Ramarao, M. Marichamy, S. Subbiah, Ram Department of Chemical Engineering Addis Ababa Science and Technology University Ethiopia Department of Electrical and Electronics Engineering Sri Sairam Engineering College Tamilnadu Chennai India Department of Mechatronics Engineering TISHK International University Erbil Iraq Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India Department of Mechanical Engineering Vinayaka Missions Kirupananda Variyar Engineering College Tamilnadu Salem India Department of Mechanical Engineering Bharath Institute of Higher Education and Research Tamilnadu Chennai India Department of Mechanical Engineering Sri Indu College of Engineering and Technology Hyderabad India

The current scenario is to achieve dimensional accuracy and surface finish of the casting components which is identified to be a difficult task. It can be achieved through lost foam casting process. This casting process eliminate the difficulties in design considerations of casting products. Lost foam casting process has provided the quality of components through flexible manner. It's being used to create complex metal pieces with less production time. In this experimental investigation, aluminium 6082 and silicon is fabricated through lost foam casting method. During casting process, the different input constraints like pouring temperature, slurry viscosity and cooling time were considered. The tensile strength is evaluated for the fabricated specimens. Taguchi technique is applied to determine the optimal factor. The contribution of factor is confirmed through variance analysis. The effect of factor and its correlation were studied through interaction plot. © 2021 Elsevier Ltd. All rights reserved

关键词： Viscosity

来源：评论

学校读者我要写书评

暂无评论

Highly Efficient Nickel Recovery from Industrial Wastewater Via Synergistic Electrodeposition and Electrocatalytic Oxidation Technique

SSRN

引用

SSRN 2023年

作者： Akram, Muhammad Bano, Zahira Bhutto, Seerat Ul Ain Wang, Fengyun Aftab, Sikandar Li, Linrui Xia, Mingzhu School of Chemistry and Chemical Engineering Nanjing University of Science and Technology 210094 China School of Environmental Science and Engineering Tianjin University Jinnan District Tianjin300350 China Department of Intelligent Mechatronics Engineering Sejong University 209 Neungdong-ro Gwangjin-gu Seoul05006 Korea Republic of

This study is performed to address water pollution concerns entwined with the electroless nickel plating (ENP) industry. Its principal endeavor centers on the development and application of an innovative single-compartment technique to proficiently treat spent ENP baths. The research demonstrates the effectiveness of recovering nickel from wastewater through synergistic interactions between electrocatalytic oxidation and electrodeposition *** positive pole was connected to IrO2/Ti mesh, and the negative pole was connected to polished stainless steel with 1.5 cm of space between electrodes. The recovered substance adhering to the electrodes was unequivocally identified as zero-valent nickel through SEM, XRD and EDS investigates. The impact of pH, Ni ions, and current density (CD) on electrochemical recovery efficiency was carefully examined. The results indicated that higher current densities have a positive impact on the ratio of Ni recovery. Additionally, through meticulous experiments, viability of this approach for treating spent ENP baths has been confirmed. An impressive 98.88% recovery of Ni2+ was achieved under specific conditions: a CD 4.5 mA cm-2, experimental time 180 min, pH 4.5, temperature 55 °C, and a dilution factor 10 times. The study demonstrated the process for recovering nickel from ENP wastewater through direct oxidation and subsequent decomposition, leading to the liberation of free nickel ions. The recovered substance, identified as zero-valent nickel, adheres to electrodes. The method employed in this research is characterized by its cost-effectiveness, user-friendliness, and low energy consumption. As a result, this study makes valuable contributions to both wastewater remediation and the sustainable utilization of nickel resources. © 2023, The Authors. All rights reserved.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：