Industrial & manufacturing engg
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A BRIEF INTRODUCTION OF INDUSTRIAL AND MANUFACTURING ENGINEERING. PRESENTED AT DEPARTMENT OF INDUSTRIAL AND MANUFACTURING ENGINEERING. UET, LAHORE. RCET CAMPUS
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1 MINISTRY OF EDUCATION UNIVERSITY OF HAIL .docx
1
MINISTRY OF EDUCATION
UNIVERSITY OF HAIL
COLLEGE OF ENGINEERING
كلية الهندسة
College of Engineering
Research Proposal Template
Please structure your Research Proposal based on the headings provided below, use a clear and legible font
and observe the page/word limit.
Research Project Title:
Motor Vehicle Safety Defects and Recall System: An Empirical Study in Saudi Arabia
Student Details:
Student Name
Student ID
Email Address
Date of Submission
Research Project
Serial No.
Supervisor Name Supervisor Signature Start Date
Only for College Officials Use
College Approval
Master of Quality Engineering and Management
Research Proposal
2
Master of Quality Engineering and Management 2020-2021
كلية الهندسة
College of Engineering
1- Research Title
Provide a short descriptive title of your proposed research (max. 20 words)
Motor Vehicle Safety Defects and Recall System: An Empirical Study in Saudi Arabia
2- Research Summary
Summarize the aims, significance and expected outcomes of your proposed research (max. 250 words).
It is to set the mechanism for recalling vehicles with manufacturing defects that affect in
one way or another the safety of vehicles and their users, and this is done by linking a
unified system in which the defective vehicle data is added and called in the system to
the maintenance centers of the concerned vehicle agencies. Workmanship defects are
classified as: (1) Basic defects, which are considered to have a serious and direct impact
on the safety of the vehicle and its users, and the inspection process cannot be passed
until after the defect is fixed. (2) Warning defects, which are considered a defect in the
product, but the effect of the defect does not threaten the safety of the vehicle and its
users pass the examination process and the defect is added as a warning only.
This research proposal aims to find the most effective way to reach every defected
vehicle and the effective way to deal with the vehicle owner to do the necessary changes
especially if it's related to safety in a systematic way. The purpose of the project is to
develop a new business model that was never used everywhere in the world and Saudi
Arabia will take the lead to publish this model to the rest of the world. Ensuring that the
practice will be used is the most effective practise as enabling to force the defected car
owner to have their vehicles fixed and the defected was solved.
Master of Quality Engineering and Management
Research Proposal
3
Master of Quality Engineering and Management 2020-2021
كلية الهندسة
College of Engineering
3- Introduction
This section should provide a description of the basic facts and importance of the research area - What is the research
area, the motivation of research, and how important is it for the industry practice/knowledge advancement? (max. 200 .
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group presentation
Industrial engineering deals with optimizing complex processes and systems through integrating people, equipment, materials and other resources. It is the third largest engineering discipline in the US, with expected job growth of 5% by 2022. Industrial engineers work in a variety of fields like manufacturing, quality control, and facility design. They need strong skills in math, science, computing and business. Senior industrial engineers often work as managers, consultants or executives. Emerging technologies like six sigma and project management software are driving the career advancement of industrial engineers.
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Industrial engineering deals with optimizing complex processes and systems. It involves integrating people, equipment, materials, and processes to specify, evaluate, and improve manufacturing or service systems. Industrial engineering is the third largest engineering discipline in the US, with expected job growth of 5% by 2022. Common industrial engineering roles include manufacturing engineering, quality control, facility design, and work design. Six sigma and project management software are important technologies for industrial engineers. New technologies like proton beam cancer treatment require industrial engineers to help develop, optimize, and commercialize the systems.
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ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Technical Drawings introduction to drawing of prisms
Method of technical Drawing of prisms,and cylinders.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Literature Review Basics and Understanding Reference Management.pptx
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
A review on techniques and modelling methodologies used for checking electrom...
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
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Industrial & manufacturing engg
- 1. ORIENTATION-15 DEPARTMENT OF INDUSTRIALAND MANUFACTURING ENGINEERING PREPARED BY BASIT ALI KHAN (12-IME)
- 2. WHAT IS INDUSTRIAL & MANUFACTURING ENGINEERING?
- 3. WHAT IS INDUSTRIAL & MANUFACTURING ENGINEERING? INDUSTRIAL ENGINEERING MANUFACTURING ENGINEERING
- 4. MANUFACTURING ENGINEERING It’s an interface between product design/development and production. Knowledge about the products. Knowledge about the design factors. Knowledge about the materials. Knowledge about the manufacturing processes. Knowledge about the equipment for manufacturing. Development, evaluation and improvement of manufacturing methods.
- 5. INDUSTRIAL ENGINEERING It aims at making things better, improve quality and productivity , by the processes, products or systems. Maintaining competitiveness and cost savings for an organization Costumer satisfaction. Improve the working environments of people. It’s related to human resources.
- 6. INDUSTRIAL ENGINEERING Project Management. Quality Measurement and Improvement. Ergonomics/Human Factors. Management of Change. Production scheduling and Flow Diagramming. Economic analysis. Supply Chain Management and Logistics. Operation research. Health and safety. FOCUSED AREAS OF INDUSTRIAL ENGINEERING
- 7. JOB AREAS FOR IMEs DESIGN------ RESEARCH AND DEVELOPMENT MANUFACTURING------ MANUFACTURING INDUSTRY MAINTENANCE------ ALL TYPE OF INDUSTRY MANAGEMENT------ ALL TYPE OF INDUSTRY HEALTH AND SAFETY ------ ALL TYPE OF INDUSTRY
- 8. Aerospace & Airplanes. Automotive industry. Oil & Gas sector. Fertilizer Industry. Materials Testing. Medical Services. Military. Ceramics industry. Construction. Consulting. Mining. Chemical and cement industry. Plastics & Forming industry. Electronics Assembly. Energy. Shipbuilding. Forestry & Logging. Provincial & Federal Government. JOB AREAS FOR IMEs
- 9. IME is ranked NO 1 at Georgia Institute of Technology-USA IME is ranked NO 2 at University of Michigan- USA IME is ranked NO 3 at University of California-USA IME is ranked NO 3 at MIT- USA IME is ranked NO 4 at Purdue University- USA IME is ranked NO 5 at Stanford University- USA IME is ranked NO 5 at Virginia Tech- USA RANKING OF IME
- 10. WEB SITE- www.imercet.yolasite.com FACEBOOK- www.facebook.com/IM.Engineering IME-RCET