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IoHT with Cloud-Based Brain Tumor Detection Using Particle Swarm Optimization with Support Vector Machine
Published in K. Shankar, Eswaran Perumal, Deepak Gupta, Artificial Intelligence for the Internet of Health Things, 2021
K. Shankar, Eswaran Perumal, Deepak Gupta
Rapid development in data and micro-electromechanical system (MEMS) methods results in the deployment of the Internet of Things (IoT), which enables objects, data, and virtual environments to interact with each other [1]. Various fields apply IoT in data collection tasks such as transport, homes, hospitals, cities, etc. The exponential development of IoT-dependent healthcare tools and sensors exist in real time [2]. With an increased cost of medications as well as the existence of diverse diseases all over the world, it is significant for healthcare from a hospital-based structure to a patient-centric structure. To control the disease, the ubiquitous sensing capabilities derived from IoT devices were applied to detect the possibilities of developing the disease for a user. The interconnection of IoT and CC is assumed to be more applicable in monitoring affected people in remote areas by providing enough support for physicians [3]. IoT has been provisioned by the application of virtual unconstrained utilities as well as resources of cloud computing (CC) to maintain technical shortcomings such as storage, processing, and power. Simultaneously, CC provides the merits of IoT under the expansion of its value to deal with real-time applications and to provide massive facilities in a distributed as well as dynamic fashion. Therefore, IoT and CC could be applied for developing novel applications and services in the healthcare domain [4].
Radiation Pattern Agility of Printed Antennas
Published in Binod Kumar Kanaujia, Surendra Kumar Gupta, Jugul Kishor, Deepak Gangwar, Printed Antennas, 2020
Amit Bage, Surendra Kumar Gupta
MEMS stands for microelectromechanical systems, which is an arrangement of electromagnetic and mechanical systems. The MEMS switches have the combined advantages of electromechanical and semiconductor technologies. The characteristics of MEMS switches are similar to the switches, i.e., low power consumption, low insertion loss and high isolation. The advantages of MEMS switches are their small size, lightweight and low cost, similar to other semiconductor switches [24]. At microwave and millimeter wave, the integration of MEMS switches provides high losses and limited power handling capability and they need expensive packaging to protect them from adverse environmental conditions. In 1990 [25], MEMS switches were proposed for use in antennas for reconfigurability. The MEMS has the ability to alter the radiation pattern. For instance, the placement of MEMS into the feed section of microstrip antennas provides beam-steering capability [26].
Fundamentals of Microfabrication Technologies
Published in Ghenadii Korotcenkov, Handbook of Humidity Measurement, 2020
The term MEMS is an acronym of microelectromechanical systems that have both mechanical and electronic components. However, the label MEMS usually is being used to describe both a category of micromechatronic devices and the processes used when manufacturing them. In Japan, MEMS are more commonly known as micromachines, and in European countries, MEMS are more commonly referred to as microsystems technology (MST). Some MEMS don’t even have mechanical parts, yet they are classified as MEMS because they are miniaturize structures used in conventional machinery, such as springs, cantilevers, channels, cavities, holes, and membranes. MEMS does offer a challenge in the area of how to effectively package devices that require more than an electrical contact to the out of package. A MEMS usually is designed to achieve a certain engineering functions by electromechanical or electrochemical means. The core element in MEMS generally consists of two principal components: a sensing or actuating element and a signal transudation unit. Therefore, MEMS devices may also be referred to as transducers. MEMS are constructed with both IC-based fabrication techniques and other mechanical fabrication techniques (Gabriel 1995; Madou 1997; Chen et al. 2001; Tao and Bin 2002) such as micromachining ones (Mehregany and Zorman 2001; Tang 2001).
Construction of intelligent multi-construction management platform for bridges based on BIM technology
Published in Intelligent Buildings International, 2023
The vibration signal processing process discussed in this section includes noise reduction, transformation and envelope extraction of the vibration signal. Noise reduction methods are techniques used to reduce or eliminate unwanted noise or interference in a signal or system. Noise can come from a variety of sources, such as electrical interference, electromagnetic radiation, or physical vibrations, and can distort or mask the desired signal, making it difficult or impossible to interpret. The purpose of noise reduction methods is to improve the quality of life for individuals in a particular environment, protect equipment, and increase productivity and efficiency. It can be seen that the analog-to-digital conversion of the vibration signal has been completed by the MEMS (Microelectromechanical systems) accelerometer, and the signal processing here mainly completes the functions of noise reduction and envelope extraction of the vibration signal. MEMS are small-scale devices that integrate mechanical and electrical components, such as sensors, actuators, and microprocessors, on a single chip. They are used in a wide range of applications, from consumer electronics and automotive systems to medical devices and aerospace technology.
A nonlocal strain gradient model for nonlinear dynamic behavior of bi-directional functionally graded porous nanoplates on elastic foundations
Published in Mechanics Based Design of Structures and Machines, 2023
M. Esmaeilzadeh, M. E. Golmakani, M. Sadeghian
FG nanoscale structures can be supposed as an advanced sub-branch of ultra-small size structures. Having noticeable mechanical and physical properties, functionally graded materials (FGMs) can be named as extraordinary man-made materials. The initial application of these artificial materials was commenced in the 1980s by Japanese scientists and later these materials have been evolved and utilized in the various branches like mechanical, aerospace, civil and nuclear engineering, chemical, electronics and biomedical fields. It has been known that the material properties of FGMs vary continuously in one or more required directions which make the particular feature (Ghayesh 2018a, 2018b, 2019a, 2019c, 2019d, 2019e; Ghayesh and Farajpour 2019). They have been utilized in different applications, such as micro-electro-mechanical systems (MEMS) for gaining better performance and high sensitivity (Mahinzare et al. 2019).
Dynamic analysis of micro-cantilever with electrostatic force
Published in Australian Journal of Mechanical Engineering, 2022
Anchit J. Kaneria, Pinank Patel, D. S. Sharma, Reena Trivedi
MEM has multiple physical fields incorporated in it and therefore it is an important research field. MEMS is the amalgamation of mechanical systems, actuating devices, sensing devices and electronic components on a shared silicon surface. Figure 1 shows Electrostatic actuator used in MEMS.The electronic components are madeup with the help of integrated circuit process; the mechanical components are manufactured using best suitable micromachining processes(Degani and Nemirovsky 2002). The major advantages of MEMES are that they are having better durability, optimum cost, light weight, small size and less energy consumption. A large number of analytical and numerical research are performed on the pull-in instability and pull-in analysis of the MEMS devices.(Jia et al. 2011; Abdalla et al. 2005; Chaterjee and Pohit 2009; Zhang and Zhao 2006; Krylov and Bernstein 2006).