Boasting superior flexibility in beam manipulation and a simpler framework than traditional phased arrays,terahertz metasurface-based phased arrays show great promise for 5G-A/6G communication *** with the reflective ...
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Boasting superior flexibility in beam manipulation and a simpler framework than traditional phased arrays,terahertz metasurface-based phased arrays show great promise for 5G-A/6G communication *** with the reflective reconfigurable intelligent surface(reflective RIS),the transmissive RIS(TRIS)offers more feasibility for transceiver multiplexing systems to meet the growing demand for high-performance beam tracking in terahertz communication and radar ***,the terahertz TRIS encounters greater challenges in phase shift,beam efficiency,and complex ***,we propose a sub-terahertz TRIS based on the phase shift via Pancharatnam-Berry(PB)metasurface and self-on-off keying(OOK)modulation via Schottky *** electrically reconfigurable unit cell consists of a column-wise phase resonator and a rectangular *** experimental retrieved equivalent lumped-element circuit model is implemented in joint field-circuit simulations and is validated by experiments.A fabricated prototype demonstrates excellent performance of TRIS with the minimum insertion loss of 2.8 dB for operational states,large bandwidth nearly covering the entire W-band for 1-bit phase shift,deep OOK amplitude modulation of 12 dB,and wide scanning range of±60°with low specular *** further implement an integrated platform combining high-speed beam steering and spatial-light modulation,verifying the point-to-point signal transmissions in different directions using the TRIS *** proposed TRIS with high-performance and cost-effective fabrication makes it a promising solution to terahertz minimalist communication systems,radar,and satellite communication systems.
As the global semiconductor industry moving towards successive generations, the density of Integrated Circuit increased, therefore reliability issues became critically high, among them Negative Bias Temperature Instab...
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Objective: The world is facing the pandemic of COVID-19, which has led to a considerable level of stress and depression in mankind as well as in society. Statistical measurements can be made for early identification o...
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Objective: The world is facing the pandemic of COVID-19, which has led to a considerable level of stress and depression in mankind as well as in society. Statistical measurements can be made for early identification of the stress and depression level and prevention of the pre-vailing stressful conditions. Several studies have been carried out in this regard. The Machine learning model is the best way to predict the level of stress and depression in humankind by statistically analyzing the behavior of humans which helps in the early detection of stress and de-pression. This helps to prevent society from psychological pressures from any disaster like COVID-19. COVID-19 pandemic is one of the public health emergencies that are of great international concern. It imposes a great physiological burden and challenges on the population of the country facing the calamity caused by this disease. Methods: In this paper, the authors conducted a survey based on some questionnaires related to depression and stress and used the machine learning approach to predict the stress and depression level of humankind in the pandemic of COVID-19. The data sets were analyzed using the Multiple Linear Regression Model. The predicted score of stress and depression was mapped into DASS-21. The predictions have been made over different age groups, gender, and categories. The machine learning model is the best way to predict the level of stress and depression in humans by statistically analyzing their behavior which helps in the early detection of stress and depression. Results: Women, in general, were more stressed and depressed than men. Moreover, the people who are 45+ years of age were found to be more stressed and depressed, including male and fe-male students. The overall analysis showed that the people of India were stressed and depressed at "Serve" level due to COVID-19. It may be because students were more depressed about their study and career, women were stressed about their business as
As technology is evolving and changing day by day many possibilities have become possible such as the development of smart and natural interface interactive systems between the user and computer using hand gestures. R...
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ISBN:
(数字)9789819725083
ISBN:
(纸本)9789819725076
As technology is evolving and changing day by day many possibilities have become possible such as the development of smart and natural interface interactive systems between the user and computer using hand gestures. Robots are trying these techniques to mimic humans and amaze everyone with the new technological advancement and innovations helping to make communication with smart machines easier. Also, the technology has the capabilities to be used in the medical industry for the distribution of hospital resources and help to reduce dependency on translators. Using such technology is also promoting the things which were considered impossible can be achieved now with the help of integration with AR/XR platforms and more futuristic technologies for better results. Gesture recognition is playing a major role in making life easier and smart for making our day-to-day tasks with the integration with IoT devices and cloud-based systems. The hand gesture recognition system is an example of a gesture recognition system that could help speech-impaired people to reduce their dependability on a translator for communicating their ideology. With the help of a hand recognition system, non-verbal communication can be easily achieved with the control of computers. With the help of technology interacting with humans becomes very easy and convenient. Further, the technology can be extended when combined with augmented reality, cloud computing, and IoT for more practicality and real-life implementation. With the help of AI and machine learning previous records can be maintained and further improved for increasing the overall experience of the user. The main objective of the system will give the system ability to perform different functions of computer and mouse cursor functions like drag and drop and webcam functionalities with the help of virtual mouse system functionality. Techniques like image recognition of deep learning are used for performing real-time tracking. The existing syste
This paper solves the boundary value problem of the second-order differential equation under the neutrosophic fuzzy boundary condition. The proposed solution is approximated using the finite difference method but dene...
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This study investigates the actual impact of ChatGPT on human resource management (HRM) occupations and compares it with assessments from large language models (LLMs). Using data from the Occupational Information Netw...
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The cause of this complete evaluation is to examine the modern-day and projected use of self-sustaining medical assistants (AMAs) for improving healthcare effects. This evaluation evaluates current research on the imp...
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The Cyberspace has been enhanced rapidly during the recent years, where people are facing major crisis in that situation cybercrimes all around world are at peak. Cybercriminals always try to exploit system and gain p...
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This paper thoroughly analyses the multi-label classification of Bangla book content. We introduce a novel dataset of the Bangla book's context, annotated with multiple labels, based on eight genres. Bangla is one...
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Energy efficiency is an important constraint in Wireless Sensor Networks (WSNs). In this paper, we propose a Delaunay triangulation-based approach for the efficient participation of nodes. Following a Delaunay triangu...
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