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Numerical computation, data analysis and software in mathematics and engineering
Include the aspects of the meshless method, numerical simulation, mathematical models, deep learning and data analysis. Meshless methods, such as the improved element-free Galerkin method, the dimension-splitting, interpolating, moving, least-squares method, the dimension-splitting, generalized, interpolating, element-free Galerkin method and the improved interpolating, complex variable, element-free Galerkin method, are presented. Some complicated problems, such as tge cold roll-forming process, ceramsite compound insulation block, crack propagation and heavy-haul railway tunnel with defects, are numerically analyzed.
Medical data processing and analysis
Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. Computer-aided diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome of interest in the form of a label pointing to a diagnosis or prognosis. Computer science, with the evolution of artificial intelligence and machine learning techniques, facilitates the modeling and interpretation of results—from carrying out measurements to experiments and observations.
IOT glass tempering controller
The Internet of things (IoT) subject speaks to a thought for the electronic-mechanical arrangement of devices to detect and gather data from the encompassing environmental factors and a short time later share that data over the Internet where it will, in general, be arranged and utilized for various purposes. This project will show the use of Iot in the process of Harding glass to accomplish a well-tempered glass and solving the problem of arching glass which is caused because of the difference of the temperature in the upper and lower heat, Iot will help in monitoring and controlling the temperature through blynk program.
Internet of Things and Machine Learning in Agriculture
Machine Learning (ML) and the Internet of Things (IoT) can play a very promising role in the agricultural industry. Some examples include: an AI-powered drone to monitor the field, an IoT-designed automated crop watering system, sensors embedded in the field to monitor temperature and humidity, etc. The agriculture industry is the largest in the world, but when it comes to innovation there is a lot more to explore. IoT devices can be used to analyze the status of crops. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield. In this book, we will point out the challenges facing the agro-industry that can be addressed by ML and IoT and explore the impacts of these technologies in the agriculture sector.
Generator remote controlling using internet connection
The traditional technique of monitoring the electricity generated through regular checks on the alternator variables: oil, temperature, voltage and current on a daily basis. Therefore, maintaining a normal performance cycle requires hard work and is often imprecise. The idea is to create an application that monitors wireless generators using the popular smartphone Android operating system. Implemented sensors deliver analog signals that provide real-time data on the status of the generator. This data is converted and programmed through the Node MCU microcontroller, which reads the results from the sensors and then converts into a signal, which is transmitted to the android phone, through a router. Thus live feedback of the generator status is ensured. In addition, this project provides a control button that can actually turn this generator on and off. This project is the first step towards bringing systems and control together as it revolutionizes the ideology of monitoring and displaying real-time data that can be implemented in different fields according to different needs. These fields include electricity, mechanics, and communications.
Free Convection Film Flows and Heat Transfer
This book presents recent developments in systematic studies of hydrodynamics and heat and mass transfer in laminar free convection, accelerating film boiling and condensation of Newtonian fluids, as well as accelerating film flow of non-Newtonian power-law fluids (FFNF). A novel system of analysis models is provided with a developed velocity component method, instead of traditional Falkner-Skan type transformation, and a system of models for treatment of variable thermophysical properties is presented with an innovative temperature parameter method that makes it easier to similarly treat related governing differential equations for consideration of fluid variable thermophysical properties. A pseudo-similarity method is applied for dealing with thermal boundary layer of FFNF, furthermore, with an induced local Prandtl number, which greatly simplifies the heat-transfer analysis and numerical calculation.
Face Biometrics for Personal Identification : Multi-Sensory Multi-Modal Systems
This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control
This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems.
Attendnce system during covid-19
Authentication system has become a hot topic in the field of security, one of the most interested methods of authentication systems is the radio frequency identity (RFID) which is used in this project to build a smart record attendance system that contains many features, one of it to determine whether the student is wearing a mask or not by using Deep Learning algorithms, another feature is the student's temperature measurement through an electronic sensor. The results obtained are processed and stored by the processing unit which is the Raspberry pi then display the data on a mobile application.
Advanced manufacturing technology and systems
Advanced manufacturing technology and systems cover a broad scope involving manufacturing processes, machine tool design, system optimization, smart and flexible manufacturing, theoretical study and metrology. This reprint comprises 19 original papers concerning recent advances in the research and development of AMTSs. Specifically, there are many research fields that are covered: machining processes (six papers), micro-/nano-precision fabrication (four papers), and system optimization (eight papers), in addition to one review.
