Ibrahim A. Hameed – författare

This book provides a complete and comprehensive reference for agricultural mobile robots, covering all aspects of the design process, from sensing and perceiving to planning and acting for practical farming applications.Mobile Robots for Digital Farming explores topics such as Robot Operating Systems (ROS), dynamic simulation, artificial intelligence, image processing, and machine learning. Additionally, it features multiple case studies from funded projects and real-field trials.This book will be useful for professors and academics in various engineering disciplines (mechanical, robotics, control, electrical, computer, and agricultural), graduate and undergraduate students, farmers, commercial growers, startups, private companies, consultancy agencies, equipment suppliers, and agricultural policymakers.

This book provides a complete and comprehensive reference for agricultural mobile robots, covering all aspects of the design process, from sensing and perceiving to planning and acting for practical farming applications.Mobile Robots for Digital Farming explores topics such as Robot Operating Systems (ROS), dynamic simulation, artificial intelligence, image processing, and machine learning. Additionally, it features multiple case studies from funded projects and real-field trials.This book will be useful for professors and academics in various engineering disciplines (mechanical, robotics, control, electrical, computer, and agricultural), graduate and undergraduate students, farmers, commercial growers, startups, private companies, consultancy agencies, equipment suppliers, and agricultural policymakers.

This book is a collection of best-selected research papers presented at International Conference on Smart Cyber Physical Systems (ICSCPS), organized by CHRIST (Deemed to be University) Delhi-NCR Campus, India, in January 2026. The book covers recent research in cyber physical system’s foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.

Master's Thesis from the year 2005 in the subject Computer Sciences - Artificial Intelligence, grade: MSc, , course: Intelligent Control, language: English, abstract: [...] In practice, conventional controllers were used to control the system however theirparameters are empirically adjusted. Besides, the operation of these controllers relies on themeasurements provided by sensors located inside and near the greenhouse. If theinformation provided by one or several of these sensors is erroneous, the controllers will not operate properly. Similarly, failure of one or several of the actuators to functionproperly will impair the greenhouse operation. Therefore, an automatic diagnosis system offailures in greenhouses is proposed. The diagnosis system is based on deviations observedbetween measurements performed in the system and the predictions of a model of thefailure-free system. This comparison is done through a bank of fuzzy observers, where eachobserver becomes active to a specific failure signature and inactive to the other failures. Neural networks are used to develop a model for the failure-free greenhouse. The main objective of this thesis is to explore and develop intelligent control schemesfor adjusting the climate inside a greenhouse. The thesis employs the conventional Pseudo-Derivative Feedback (PDF) Controller. It develops the fuzzy PDF controller (FPDF). Thethesis also, develops two genetic algorithm (GA) based climatic control schemes, one isgenetic PDF (GPDF) and the other is genetic FPDF (GFPDF). The former uses GA toadjust the gains of the Pseudo-Derivative Feedback Controller (GPDF) and the later usesgenetic algorithm to optimize the FPDF controller parameters (i.e., scale factors and/orparameters of the membership functions). Finally, the thesis develops a fuzzy neural faultdetection and isolation system (FNFDIS), in which a bank of fuzzy observers are designedto detect faults that may occur in the greenhouse end items (e.g.., sensors and actuators). Simulation experiments are performed to test the soundness and capabilities of thedeveloped control schemes for controlling the greenhouse climate. The proposed schemesare tested through two experiments, setpoint tracking test and regulatory control test. Also,the proposed diagnostic system was tested through four experiments. Compared with theresults obtained using the conventional controllers, best results have been achieved usingthe proposed control schemes.

Doctoral Thesis / Dissertation from the year 2010 in the subject Computer Sciences - Artificial Intelligence, grade: PhD, Korea University, Seoul (College of Engineering - Dept of Industrial Systems and Information Engineering), course: Intelligence Control and Artificial Intelligence, language: English, abstract: Fuzzy Logic (FL) is a particular area of interest in the study of Artificial intelligence(AI) based on the idea that in fuzzy sets each element in the set can assume a value from0 to 1, not just 0 or 1, as in classic or crisp set theory. The gradation in the extent towhich an element is belonging to the relevant sets is called the degree of membership. This degree of membership is a measure of the element s belonging to the set, and thus ofthe precision with which it explains the phenomenon being evaluated. A linguisticexpression is given to each fuzzy set. The information contents of the fuzzy rules are thenused to infer the output using a suitable inference engine. The key contribution of fuzzylogic in computation of information described in natural language made it applicable to avariety of applications and problem domains; from simple control systems to humandecision support systems. Yet, despite its long-standing origins, it is a relatively new field,and as such leaves much room for development. The thesis presents two novel applications of fuzzy systems; a human decisionsupport system to help teachers to fairly evaluate students and two hybrid intelligentfuzzy systems; a type-2 fuzzy logic system and a combined type-1 fuzzy logic system andextended Kalamn filter for controlling systems operating under high levels ofuncertainties due to various sources of measurement and modeling errors. The combination of fuzzy logic and the classical student evaluation approachproduces easy to understand transparent decision model that can be easily understood bystudents and teachers alike. The developed architecture overcomes the problem ofranking students with the same score. It also incorporated different dimensions ofevaluation by considering subjective factors such as difficulty, complexity andimportance of the questions. Although we discuss this approach with an example fromthe area of student evaluation, this method evidently has wide applications in other areasof decision making including student s project evaluation, learning management systemsevaluation, as well as, other assessment applications. [...]

This book discusses the outcome of the ICSCPS 2024 conference proceedings which provide a comprehensive exploration of Smart Cyber-Physical Systems (CPS), delivering deep into the intersection of the physical and digital worlds. The book is a must-read for researchers, engineers, students, and professionals seeking to understand and harness the power of CPS in today's technology-driven landscape. This conference's main topics encompass CPS's foundational principles, from mathematical modeling and control theory to real-time systems and cyber-security. It unravels the intricacies of sensors and actuators, shedding light on their design and applications in various domains. With a focus on communication and networks, readers will gain insights into the critical aspects of data exchange and connectivity in CPS, including wireless communication, IoT integration, and network security.