Volume 9 | Issue 8

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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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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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 Abstract

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

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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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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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WSN, AI, IoT, Smart

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Nowadays vehicle thefts are increasing all over the world. Everyone is very concerned about securing their vehicles. This paper design and develop vehicle theft control systems used to prevent or control vehicle theft. The system is designed using the mobile phone supplied with the vehicle with a connector to connect the engine control module (ECM) via the control network (CAN) bus, which in turn is transmitted to the ECM. The secure communication mode between the smartphone and the vehicle is carried out via the GSM network. Using a smartphone, the owner can lock or unlock the vehicle and detect it in case of theft. By reading the signal received by the mobile phone, the engine ignition can be controlled and tell owner to immediately lock or turn off the engine. And again, it will return to normal only after entering a strong password. The operation of this circuit is mainly dependent on the MEM sensor. The actual position of the MEM sensor should be 90 degrees with respect to the ground. If there is a change in the actual position of the MEM, a control signal will be sent to the ADC. The ADC converts the analogue signal to digital signal and sends this digital signal to the microcontroller.

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Theft Control Unit, GSM, GPS, Control Area Network Bus (CAN), Engine Control Unit (ECU), Mobile Phone, Engine Ignition Control Module (ECM), Subscriber Identity Module (SIM), Data Encryption Standard (DES).

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Fingerprints are the most potent authentic biometrics for personal identification, especially in forensic science. The two major types of 2D minutiae matching that are often applied for fingerprint recognition are ridge ending and bifurcation. This article focuses on employing a 3D Minutiae Matching Technique in conjunction with a 3D Template, commonly known as Minutiae Cylindrical Code (MCC). Cylinders, which are three-dimensional data structures, are the emphasis of this method. A lot of physical data has been shared in this digital era. The goal of this work is to increase the efficiency of fingerprint matching for this reason. We devised a method for reducing Matching Time, Enrolment, Time False Acceptance Rate (FAR), False Rejection Rate (FRR), and False Minutiae detection.

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MCC; FAR; FRR; MATCHING TIME; EXECUTION TIME; ENROLMENT TIME

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In this era of utmost competition, one among the strategies to be a successful organization is to draw in potential candidates for any particular post and retain the key employees to have a better and highly motivated workforce.So what is the requirement of an organization and managers to attract, retain and motivate a talented workforce? Nowadays, In any industry whether small or big, human resource management not just play its traditional role as such but has expanded its dimensions to assess its employees' performance and manage it with a new system that has evolved due to new developments in the field of HRM known as Performance Management System (PMS). It elaborates how the organization aligns the performance management system with the organizational system and articulates the corporate business objectives to the individual goals. This paper deals with the effectiveness of PMS. The results of the study shows that a performance management system acts as a strategic tool and a strong foundation for the workers to realize their ambitions and organizations to achieve their key financial goals.

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Performance Management System, Human Resource Management

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This paper explains the designs of various CMOS circuit families including Static CMOS circuit, Pseudo NMOS circuit, Domino logic circuit and Dual-Rail Domino logic circuit by using VLSI software: LT Spice XVII with layout tools at 45 nm, 90 nm and 180nm technology node. The working of these circuits is done through VLSI due to its high noise immunity and low static power. This gives us the comparative studies between various circuits and further calculated their delays, average energy. We will calculate the Total power dissipated using Static Power and Dynamic Power. Power Delay Product and Propagation Delay is further measured.

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Static CMOS, Dynamic CMOS, Domino Logic CMOS, Dual-Rail Domino Logic CMOS, Average Power, Power Delay Product(PDP), Delay, Area

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COVID-19, masked face, CAMFD, NVIDIA, Faster-RCNN, SSD Mobilenet, voice alert

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This Research Paper presents a tool which helps in automation of Reconnaissance and Scanning phase during Penetration Testing. The goal of this tool is to gather as much information about the target as one can in the least amount of time. The bash-script based tool helps in scanning for open ports, web objects, hidden directories and the content-management system used by the target website. Also, a user can add tools to the script according to their recon methodology by simply adding the command used for the tool and appending the result to the output file.

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Penetration Testing, Reconnaissance, Scanning, Web Application Testing, Automation

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The Internet of Things (IoT) is a system of smart sensors that can be used to control and monitor objects from anywhere on the Internet. This sophisticated method can be utilized to boost modern farming's production and quality. As a result, the goal of this study was to offer a novel smart farming application based on the Internet of Things. In this study, a smart agricultural prototype was created to assess the humidity in paddy bags placed in various locations across a farm. The NodeMCU ESP8266 microcontroller and the DHT11 temperature and humidity, MQ135 sensor, Soil moisture sensor, and LDR sensor were used to communicate data to the Blynk server through a Wi-Fi network in this smart capsule. The Dc water pump, exhaust fan, cooling fan, and LED bulb are also some appliances that are also connected can be controlled manually or automatically based on the data collected from the sensors. The Arduino IDE was being used to write the microcontroller's C++ code. The cloud-based dashboard was used to monitor and display real-time humidity data using the Blynk mobile application. The humidity data was examined further and used to create a paddy storage system for the future. Furthermore, when the smart capsule lost contact with the Blynk server, a fast notification was issued to the appropriate parties. As per the results, the developed smart farming and Blynk application can work together efficiently and are suitable for use in smart farming.

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Internet of Things, ESP8266, Soil Moisture Sensor, PIR sensors, MQ135 air quality sensor, Blynk.

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Paralysis is an important neural condition that causes the dysfunction of one or two muscles of the body, affecting the selected muscle group or area body or wide and anxious space when you look at the cause. In seeking renewal, focus is also considered to be special in all organs that will assist a person with an impairment to talk correctly. Paralyses patients and unarmed persons often use eye movements to execute basic tasks. This paper is all about the study of mechanical mobility for patients with disabilities in home appliances. The system outlined here utilizes the eye blink device for the detection of eye movement, whatever follows a simple electronic device for the use of the signal mechanism, which adds to the price and assists the reading point of the user. And this used signal is also used as an associate in microcontroller nursing input for home control materials used.

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Home Automation, Blinking, Disability, MDN, Microcontroller, Arduino Uno, Wireless, wireless.

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A Mobile Ad hoc Network (MANET) can be addressed by a bunch over coherent groups with group heads (CHs) performing like simulated base-stations, hence forth framing a remote virtual spine. The job of group head is a transitory job, which changes powerfully as the geography or different components influencing it changes. Tracking down the insignificant arrangement of CHs is a NP-Complete issue. In this paper, the study the exhibition trade-offs between two grouping draws near. The first is a basic bunching technique, called Virtual Grid Architecture, which depends on a fixed rectilinear virtual geography, while the subsequent one is an ideal bunching technique. In the 1st stage, for standardized MANETs with an enormous number of clients and under the VGA bunching approach, infer articulations for the quantity of CHs, most pessimistic scenario way length, and normal case way length. We additionally determine articulations for the correspondence overhead. In 2nd, its stage builds up an Integer Linear Program. That tracks down the ideal number of associated CHs in little to medium estimated assorted MANETs. Insightful and recreation results are received from proposed grouping method.

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ad hoc network MANETS.

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The adaption of the Internet of Things has enabled people to bridge actual objects to the Internet and make people's lifestyles easier. Hackers are familiar with these real-world devices, which make users nervous rather than easy to live. Smart cars are one of the techniques that facilitate our lifestyles, but when an assailant utilizes its flaws, the drivers, as well as the public surrounding us, can suffer seriously. There have been incidents in past years that attackers have targeted Autonomous Vehicles (AVs) that have provided the car full power or network jamming, resulting in loss of knowledge. In this article, we introduce the analysis of a DDoS assault on a network of intelligent autonomous cars in a simulated world. By using our proposed system able to detect the attack in the network to prevent the network issue.

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Autonomous Vehicles, Cybersecurity, DDoS, Attack Simulation

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