AI and IoT Meet Mobile Machines: Towards a Smart Working Site

AI and IoT Meet Mobile Machines: Towards a Smart Working Site
Author: Xiang, Yusheng
Publisher: KIT Scientific Publishing
Total Pages: 294
Release: 2022-06-20
Genre: Technology & Engineering
ISBN: 3731511657

Infrastructure construction is society's cornerstone and economics' catalyst. Therefore, improving mobile machinery's efficiency and reducing their cost of use have enormous economic benefits in the vast and growing construction market. In this thesis, I envision a novel concept smart working site to increase productivity through fleet management from multiple aspects and with Artificial Intelligence (AI) and Internet of Things (IoT).

Fiber-dependent injection molding simulation of discontinuous reinforced polymers

Fiber-dependent injection molding simulation of discontinuous reinforced polymers
Author: Wittemann, Florian
Publisher: KIT Scientific Publishing
Total Pages: 180
Release: 2022-11-18
Genre: Technology & Engineering
ISBN: 3731512173

This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydrodynamic forces from fluid on fibers, contact forces between fibers, a novel fiber breakage modeling approach and anisotropic warpage analysis. Due to the coupling of fiber breakage and anisotropic flow modeling, the fiber breakage directly influences the modeled cavity pressure, which is validated with experimental data.

Mesoscale simulation of the mold filling process of Sheet Molding Compound

Mesoscale simulation of the mold filling process of Sheet Molding Compound
Author: Meyer, Nils
Publisher: KIT Scientific Publishing
Total Pages: 292
Release: 2022-07-12
Genre: Technology & Engineering
ISBN: 3731511738

Sheet Molding Compounds (SMC) are discontinuous fiber reinforced composites that are widely applied due to their ability to realize composite parts with long fibers at low cost. A novel Direct Bundle Simulation (DBS) method is proposed in this work to enable a direct simulation at component scale utilizing the observation that fiber bundles often remain in a bundled configuration during SMC compression molding.

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles with Federated Learning
Author: Thorgeirsson, Adam Thor
Publisher: KIT Scientific Publishing
Total Pages: 190
Release: 2024-09-03
Genre:
ISBN: 3731513714

In this work, an extension of the federated averaging algorithm, FedAvg-Gaussian, is applied to train probabilistic neural networks. The performance advantage of probabilistic prediction models is demonstrated and it is shown that federated learning can improve driving range prediction. Using probabilistic predictions, routing and charge planning based on destination attainability can be applied. Furthermore, it is shown that probabilistic predictions lead to reduced travel time.

Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle

Trajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicle
Author: Jauch, Jens
Publisher: KIT Scientific Publishing
Total Pages: 264
Release: 2024-03-01
Genre:
ISBN: 3731513323

This work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.

Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces

Experimental investigation of relevant road surface descriptors for tire-road noise measurements on low-absorbing road surfaces
Author: Pinay, Julien
Publisher: KIT Scientific Publishing
Total Pages: 196
Release: 2024-01-16
Genre:
ISBN: 3731513285

Ihrer Arbeit in der Originalsprache: This work aims at identifying relevant road surface characteristics to mitigate tire-road noise of free-rolling tires using a systematic approach. As using open porous roads is already known as an efficient measure to reduce tire rolling noise, this study will focus on compact road surfaces which have a low acoustic absorption. Measurements on standardized ISO 10844 test tracks and on public roads are used to study the norm's representativity and its completeness.

Process simulation of wet compression moulding for continuous fibre-reinforced polymers

Process simulation of wet compression moulding for continuous fibre-reinforced polymers
Author: Poppe, Christian Timo
Publisher: KIT Scientific Publishing
Total Pages: 332
Release: 2022-07-18
Genre: Technology & Engineering
ISBN: 3731511908

Interdisciplinary development approaches for system-efficient lightweight design unite a comprehensive understanding of materials, processes and methods. This applies particularly to continuous fibre-reinforced plastics (CoFRPs), which offer high weight-specific material properties and enable load path-optimised designs. This thesis is dedicated to understanding and modelling Wet Compression Moulding (WCM) to facilitate large-volume production of CoFRP structural components.

Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches

Measurable Safety of Automated Driving Functions in Commercial Motor Vehicles - Technological and Methodical Approaches
Author: Elgharbawy, Mohamed
Publisher: KIT Scientific Publishing
Total Pages: 268
Release: 2023-01-13
Genre: Technology & Engineering
ISBN: 3731512548

With the further development of automated driving, the functional performance increases resulting in the need for new and comprehensive testing concepts. This doctoral work aims to enable the transition from quantitative mileage to qualitative test coverage by aggregating the results of both knowledge-based and data-driven test platforms. The validity of the test domain can be extended cost-effectively throughout the software development process to achieve meaningful test termination criteria.

Tech Trends in Practice

Tech Trends in Practice
Author: Bernard Marr
Publisher: John Wiley & Sons
Total Pages: 189
Release: 2020-04-09
Genre: Business & Economics
ISBN: 1119646200

***BUSINESS BOOK AWARDS - FINALIST 2021*** Discover how 25 powerful technology trends are transforming 21st century businesses How will the latest technologies transform your business? Future Tech Trends in Practice will give you the knowledge of today’s most important technology trends, and how to take full advantage of them to grow your business. The book presents25 real-world technology trends along with their potential contributions to organisational success. You’ll learn how to integrate existing advancements and plan for those that are on the way. In this book, best-selling author, strategic business advisor, and respected futurist Bernard Marr explains the role of technology in providing innovative businesses solutions for companies of varying sizes and across different industries. He covers wide-ranging trends and provides an overview of how companies are using these new and emerging technologies in practice. You, too, can prepare your company for the potential and power of trending technology by examining these and other areas of innovation described in Future Tech Trends in Practice: Artificial intelligence, including machine and deep learning The Internet of Things and the rise of smart devices Self-driving cars and autonomous drones 3D printing and additive manufacturing Blockchain technology Genomics and gene editing Augmented, virtual and mixed reality When you understand the technology trends that are driving success, now and into the future, you’ll be better positioned to address and solve problems within your organisation.

AI-Based Services for Smart Cities and Urban Infrastructure

AI-Based Services for Smart Cities and Urban Infrastructure
Author: Lyu, Kangjuan
Publisher: IGI Global
Total Pages: 353
Release: 2020-09-04
Genre: Computers
ISBN: 1799850250

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.