This paper represents modeling and control of an agricultural service skid steering mobile robot for the purposes of grass cutting using Proportional-Integral-Derivative (PID) controller and Fuzzy Logic techniques and feedback signals from sensors as IMU, encoders, and Machine Vision. The paper deals with the system modeling into two methods: The first is using Fuzzy modeling as a modeling tool for complex nonlinear system, the second is using MATLAB software system Identification Tool. The study Uses PID, Fuzzy logic controller and fuzzy self-tuning of PID controller to control the path

The aim of this research is to reduce the gap between manufacture expertise and management expertise by using modern technology like Manufacturing Execution System (MES) via Artificial Intelligence (AI) and Machin Learning (ML). A design of MES has been proposed and implemented on El-Araby Plastic Injection Molding (PIM) factory. This work is based on the International Society of Automation Standard (ISA-S95). A fully automated data management system has been designed and implemented to control data follow between shop floor e.g. (machines and operators) and management floor e.g. (production

In the use of automatic control and its optimization methods, this research discusses how Proportional Integral Derivative (PID) controller is used to provide a smooth auto-parking for an electrical autonomous car. Different tuning methods are shown, discussed, and applied to the system looking forward to enhancing its performance. Time domain specifications are used as a criterion of comparison between tuning methods in order to select the best tuning method to the system with a proper cost function. Results show that Particle Swarm Optimization (PSO) method gives the best results according

Modularity concepts attracted the attention of many researchers as it plays an important role in product design problems. Modularity requires dividing a product into a set of modules that are independent between each other and dependent within. The product is represented using Design Structure Matrix (DSM). DSM works as a system representation tool; it visualizes the interrelationship between product elements. In this research, a comparison is conducted between four optimization algorithms: Emperor Penguins Colony (EPC), First Modified Emperor Penguins Colony (MEPC1), Second Modified Emperor

Thermal insulators have a crucial role in reducing the operational building energy. They are commonly fabricated from petrochemical materials that mostly cause negative environmental impacts. This study aims to develop banana leaves-polystyrene composites (BL-PS) as a sustainable and low-cost thermal insulator. The BL powder was mixed with PS in different weight ratios (90:10, 80:20, 70:30, and 60:40). Thermal conductivity, electrical conductivity, SEM, XRD, FTIR, TGA, and DSC were carried out on BL and BL-PS composites that were prepared with 10 wt.% of PS powder (BL-PS1) and 30 wt.% of PS

This paper introduces a generic modeling for a 3-D nonlinear chaotic based on fractional-order mathematical rules. Also, a novel modeling for the system using a mixture between integer and fractional-order calculus is proposed. Dynamics of the new realization are illustrated using phase portrait diagrams with complex behavior. Also, a great change in the parameter ranges is investigated using bifurcation diagrams. MATLAB and Xilinx ISE 14.5 are used in system simulations. Furthermore, the digital hardware implementation is done using Xilinx FPGA Virtex-5 kit. The synthesis report shows that

Following the current technological revolution, the concept of emerging fields and getting a common benefit becomes a bright way to follow. Going deeper in nanotechnology, nanorobotics has been the glimpse of hope in many fields; particularly, in the medical field. Nanorobotics applications in medicine are divided into two main categories, diagnosis and treatment, and extensive efforts have been given to research about its operation principles and design. Unfortunately, problem have emerged regarding the implementation, methods of actuation, and customized components of nanorobotics to be used

Recently, the construction of water structures and seepage reduction are critical issues. This importance was induced due to the required specifications for the desired type of concrete. Mechanical strength and permeability are the two major parameters in achieving the design mix efficiently. This study investigates the effect of different types of admixures on the performance of concrete. The performance of concrete was evaluated using the mechanical strength and permeability tests. The concrete mixes admixtures include A retarder (Sika R2004 type G), water proofing material (addicrete DM2)

Expanded polystyrene (EPS) has long been used to reduce stresses acting on buried structures. In this study, the efficiency of utilising EPS in reducing vertical stresses acting on cut-and-cover tunnels was investigated. To gauge this, short- and long-term shear strength parameters of EPS with densities of 25, 30, and 35 kg/m3 were determined. Interface friction of EPS with various materials was measured considering the use of geotextile as a protective cover for EPS. Laboratory testing included unconfined compression, creep strain based on time-temperature-stress superposition, and modified

Soil contamination with petroleum products and/or waste are a problem that can be detected nearby industrial areas and other amenities that include underground leaking tanks or pipelines. The negative effect of oil contamination on the soil properties is significant and can completely alter the strength as well as the serviceability limit states of the bearing stratum. In this study, Diesel was mixed with cohesionless soils using four different mixing percentages, starting with 5% up to 13.5% by weight, to cover a wide range of contamination ratios. The effects of contamination on the soil