Volume 9 | Issue 8 | August-2021

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Recurrent Neural Network, Long-Short Term Memory, Deep Learning, Stock Market, Technical Analysis, Prediction, Forecasting.

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The Domino CMOS Logic Circuits are famously utilized in Very Large Scale Integrated (VLSI) structure. To design a VLSI circuit having low power and fast execution or high speed is the most testing task. By and by, one of the main goals is low power VLSI circuits with high speed. Full Adders are mainly used in various circuits which can perform various errands like development, duplication, division etc. In this manner it will diminish the force usage in full adders expects an enormous part of VLSI circuits having low power. In this paper, domino logic is used to manage a stable, particularly improved response for two constraints in full adder circuits i.e. power and delay. We review the Power, Delay and Power Delay Product (PDP) of 22T Domino Full Adder, 27T Domino Full Adder and 28T Static Full Adder. In this we also review these 3 circuit on the basis of different technology nodes or the feature length i.e. 45nm, 90nm and 180nm.

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 Keywords

Domino, CMOS, Adder

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Stress &Emotion plays an important role in human and human communications in our daily life. Besides logical intelligence, emotional intelligence is considered an important part of human intelligence, which represents the ability to perceive, understand, and respond to emotion. However, the existing human-computer interaction systems still lack emotional intelligence. Affective brain-computer interactions aim to narrow the communication gap between humans and machines by developing computational models of emotion& stress. The feeling is an expression that exhaustively addresses human inclination, thought and conduct hence plays a significant job in relational human correspondence. Stress and Emotion assessment expects to consequently separate distinctive passionate states by utilizing physiological and non-physiological signs procured from humans to accomplish compelling correspondence and communication among humans and machines. Brainwaves-Based Stress and Emotion Estimation is perhaps the most widely recognized utilized and effective technique for Stress and feeling assessment research. The innovation uncovers an incredible job for human Stress and passionate problem treatment, mind PC interface for incapacities, amusement, and numerous other exploration territories. In this work, different techniques, plans, and structures are introduced for Electroencephalogram (EEG) based on human Stress and feeling assessment.

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Brain-Computer Interface (BCI), EEG,Stress, Emotions, Valence, Arousal, Stress detection.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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UART, FPGA, Verilog, ALU, and Seven Segments Display.

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Creative Commons Attribution 4.0 and The Open Definition

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The usage of technology has recently been advocated to improve the teaching and learning experience in the classroom. An increasing reality is one of these technologies (AR). An increasing number of user-based studies have examined the enhanced reality (AR) interfaces extensively over the past few decades. In this research, we examine the influence of the pre-school learner on AR systematically. This review will primarily contribute to presenting the full scope of user-based AR research and finding the answer to early childhood learning disabilities via AR. Hyperactivity disorder is an important part of children diagnosed with attention-deficit. Children with hyperactivity disorder encounter a variety of problems connected to 3 main symptoms. The AR-Kid application was used by children aged 4-6 years to analyze application tests on attractivity to determine the LD in the child. Their main symptoms may adversely affect children's academic and social performance throughout their whole school lives. We also identify regions in which few user surveys and future research possibilities have been conducted. In particular, we discover that an increasing tendency towards portable AR user research is taking place and that most research is carried out in labs. This research is helpful to AR researchers who want to follow best practices in the real-life development of their AR user studies.

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Augmented Reality, Learning Disorder, Diagnosis.

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Creative Commons Attribution 4.0 and The Open Definition

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A mobile ad hoc network is collection of nodes or computers. It is multi hop wireless system that is capable of working self-governingly, whose principle work is to gives dependable start to finish communication between nodes in network because of changing issues in topology give rise to node mobility, and it is accomplishing reliable transmission of packet in mobile wireless network which is crucial. The recently communication network is becoming more and more varying. This is a significance of the growing number of the wired and wireless both devices and services. Their are different kinds of protocols that provides easier communication in an ad hoc network, such as DSR and TORA. Although these methodologies finish up in ineffective usage of assests after the connection is failed and issues of congestion. In this paper proposes a way to deal with gets overcome this problem and provides efficient route and reduce congestion.

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Mobile Ad- hoc network, mobility, routing protocol,

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The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users. Each user has a different approach to misusing and recognizing sarcasm. Sarcasm detection is difficult even for users, and this will depend on many things such as perspective, context, special symbols. So, that will be a challenging task for machines to differentiate sarcastic sentences from non-sarcastic sentences. There are no exact rules based on which model will accurately detect sarcasm from many text corpus in the current situation. So, one needs to focus on optimistic and forthcoming approaches in the sarcasm detection domain. This paper discusses various sarcasm detection techniques and concludes with some approaches, related datasets with optimal features, and the researcher's challenges.

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Sarcasm, detection approaches, feature selection

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Air pollution nowadays, is one of the major concerns especially in metropolitan cities, primarily due to pernicious effects on the well-being of the common people, and thus in the long run affecting global economy. Monitoring of air quality started from the traditional ways and has come a long way to the most sophisticated technology being used today. Fresh air is the basic necessity of human being and hence it is becoming important to come up with real time air quality deets by using modern yet affordable technologies. In this paper we are analyzing and studying about the technology which has been used till date in monitoring the air quality index and its efficacy. In the proposed prototype we will be using internet of things (IoT), wireless sensor network and the cost-effective circumambient sensors and an app which will give the real time information about the quality of index at various regions.

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pollution, wireless sensors, app, quality of air.

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in present day, home security is of vital essence. Securing mechanisms have evolved over the years. In this paper, we discuss the existing home security methodologies and their evolution over time. The biometric recognition techniques have gained popularity in the recent times. The differences between conventional security measures and the new methods in the field of home security have been highlighted in this paper.

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Home Security, Biometrics, Facial characteristics, Facial Recognition

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Wireless Sensor Network (WSN) is a most excited area of research as it is an emerging technology that has a wide range of potential applications, hence computer science community is running towards networking of sensor's technology. Fundamentally Artificial Intelligence(AI) is a broader concept which is intended to make machines be trained in such a way that they behave as same as human in terms of decision making. Overall, the process of creating the intelligence equal to the intelligence of human is called as Artificial Intelligence. In the process of AI development, many applications and branches have been evolved. AI has distinct ability to concurrently stun, hypnotize, leave us inspiring and appal hence left its impression everywhere so randomly helps people to imagine and could someday materialized into reality ! Internet of Things (IoT) is nothing new but grouping of technologies like WSN and AI inspired devices. The thought connecting imaginary world is becoming a reality as everything from home appliances to jet engines are connected to the Network/Internet. IoT sometimes a confusing term due to its nature of accessing devices each other. This paper try to brief about terms and applications of 3 major technologies viz WSN, AI and IoTs. Ideally it is a collaborative 'Things' made up of embedded systems that require collaborating and making intelligent decisions so that it make meaning of it in the end.

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 Keywords

WSN, AI, IoT, Smart

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Creative Commons Attribution 4.0 and The Open Definition