Focusing on language intervention for children with mental retardation, this book addresses the wide range of language impairments and the varying approaches needed for effective intervention. It highlights the importance of tailoring strategies to either enhance specific language skills or to develop foundational communication systems. The ultimate aim of these interventions is to enhance the quality of life for children by improving their language and communication abilities.
Exploring the profound impact of the internet on personal relationships, this book delves into how online communication has transformed human interaction. It raises thought-provoking questions about the search for love in the digital age, examining the normalization of finding soulmates through online platforms. By analyzing the evolving dynamics of connection and intimacy, the book invites readers to reflect on their own experiences with technology and its influence on their social lives.
Development of memristor-based device in 2008 has encouraged scientists and engineers to perform brain-inspired cognitive tasks on the hardware level. Memristor is a resistor with memory which has some similarity like a synapse in our brain and can be fabricated in a 3-dimensional array with high density. This allows memristors to be used in parallel processing application like pattern recognition. Memristor-based neuromorphic systems have neuron and memristor integrated together as a fundamental unit which works like biological neuron and synapses. This unit is repeated in large number and interacts with each other to perform the complex functionalities. A double barrier memristor device has been developed by the Institute of Electrical Engineering and Information Technology, the University of Kiel which shows a continuous change in resistance when a consecutive write voltage is applied. This device has to be integrated with CMOS neuron to develop potentiation and depression. An integrate & fire neuron chip with spiking circuit has been designed and fabricated in AMS350 nm process. DBMD has been integrated with Neuron ASIC and the measurement shows Long-Term Potentiation (LTP) on hardware level which can be used for a larger network to mimic functionalities of the brain.
An Overview on Research Trends
Focusing on the optimization of Wire-EDM technology, this book reviews extensive research on enhancing high-speed cutting and precision machining for hard materials. It highlights the importance of selecting machining parameters to reduce costs and improve accuracy, while comparing various optimization techniques such as Taguchi, RSM, and GA. By consolidating information on multiple machining parameters and responses, it serves as a comprehensive resource for researchers seeking guidance in advancing WEDM processes and identifying future research opportunities.
Exploring the potential of harnessing wind energy from highways, this book highlights the feasibility of using Savonius turbines in such settings. While wind energy is a growing source of clean power, its variability poses challenges. The Savonius turbine, with its ability to capture wind from any direction and perform well at lower speeds, presents a practical solution for installation in highway medians. The research aims to quantify the energy output and assess the practicality of this innovative approach to renewable energy generation.
The study focuses on detecting multiple cracks in rotating shafts by analyzing changes in natural frequencies. It emphasizes the impact of crack parameters—number, depth, and location—on the shaft's vibration characteristics. Using Finite Element Analysis (FEA) and ANSYS software, the research generates a shaft model and calculates its natural frequencies. The data is then processed through an Adaptive Neuro-Fuzzy Inference System (ANFIS) to train networks for accurate crack location and depth estimation. Simulation results demonstrate the effectiveness of this technique.