The solution of the power flow is one of the most critical problems in electrical power systems. The power demand increases drastically due to industrialization and the electric transportation system. It makes the power system complex which needs to be properly controlled and maintain quality to flow. The effective control and operation of power remain challenging due to the variation in the input and load demand energy and the significantly high peak-to-average power ratio. Therefore, the rated power control is essential for the operating time and power output. The present rated power control method is based on the instantaneous rotational speed of the turbine generator. However, due to practical infrastructure limitations, such as the valve operating time, a more refined rated power control method is required. Flexible ac transmission systems are extensively installed in power systems to maintain a quality power supply. The Stabilizer multi-band has a key role in the improvement and control at the turbine power generating station. This paper presents simulation results of a Synchronous machine, Turbine Excitation Regulator, and Stabilizer multi-band for a 735 kV power line with the help of MATLAB/simulation module.

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According to this article, one of the key disadvantages is excessive power consumption and offset in CMOS based comparators. At scale down technology, CMOS suffers with short channel effect and leakage current. To address these challenges, FinFET technology is used in three stage dynamic comparators instead of traditional circuit designs. The energy efficiency of FinFET-based dynamic comparators is higher than that of CMOS, and the short channel effect and leakage current are decreased. Furthermore, a new design of FinFET-based three stage dynamic comparators with tail transistors was created and simulated using the cadence virtuoso environment. In this paper, A three stage comparator is presented in a novel architecture. The methodology used for this architecture is Clock Gating technique. In order to achieve fast performance, here the Clock Gating structure is designed based on Transmission Gate Configuration. In conventional three stage comparator, the technology used is FinFET. Here, considering the same technology to develop proposed three stage comparator and its modified architecture. The entire designs are simulated using H-spice software and the comparison of conventional and proposed architectures in terms of power and delay are also presented. According to simulation results, the modified three stage comparator decreases power consumption by 20% it has a 17% energy efficiency.

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As the elementary beam theory based on Euler-Bernoulli hypothesis which disregards the effect of shear deformation and stress concentration, and also this theory is not suitable for thick or deep beam. So in this paper a Fifth Order Shear Deformation Theory is considered for the analytical solution of thick C-section beams with simply supported boundary condition. The results obtained from Fifth Order Shear Deformation Theory are compared with different theories. This comparison shows that the present theory is more accurate than Euler-Bernoulli theory and also comparable with Timoshenko beam theory. Also, in this paper results obtained are discussed with other refined theories.

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Nowadays, the development of technologies that can generate Deepfake videos is expanding rapidly. In fact, compressed videos are common in social networks, such as videos from Instagram, Facebook and Twitter. Therefore, learning how to spot compressed Deepfake videos becomes crucial. These videos can be easy to create but due to this it effects on Personal reputation, Business Reputation and aids to financial loss. Therefore, we proposed a detection system which identifies the real video and fake. Throughout this paper we will use real and fake videos data to train the Convolutional neural network and classify their categories into real and fake. CNN gives better accuracy on image and video dataset. In this paper, we will be building a web application that takes image or video as input and pre-process that with help of CNN model and gives the final classification as an output.

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Cybersecurity is the practice of securing critical systems and sensitive data from digital attacks. Cybersecurity measures, also known as information technology (IT) security, are intended to combat threats to networked systems and applications, whether they originate within or outside of an organization. Cyber security refers to the technologies and processes that are designed to protect computers, networks, and data from unauthorized access and cybercriminal attacks delivered via the internet. Through, cyber security is the important for the network, data and application security. Cyber Security is critical in the field of information technology. Today, one of the most difficult challenges is securing information. When we think of cyber security, the first thing that comes to mind is 'cyber crimes' which are increasing at an alarming rate. With the increase in cyber-attacks, every organization requires a security analyst to ensure the security of their system. These security analysts face numerous cybersecurity challenges, such as protecting government organizations confidential data, securing private organization servers, and so on. We have some cyber security challenges like Ransomware Attacks: Ransomware is the biggest concern now in the digital world. IoT Attacks (Internet of Things): The Internet of Things or IoT is the most vulnerable to data security threats. Cloud Attacks, Phishing Attacks, Cryptocurrency and Blockchain Attacks. Cyber security is the prevention of cyber-attacks on internet-connected systems, including hardware, software, and data. We have some advantages of cyber security: 1) It will protect us from hackers and viruses. It enables us to navigate a secure website. 2) All incoming and outgoing traffic on our computer is processed. 3) The cyber security developers will update their database once a week, so new viruses will be detected. 4) Every week, we must update the cyber security application on our computer. Various governments and businesses are taking numerous steps to combat cybercrime. Aside from various measures, many people are still concerned about cyber security. The Central Government has taken steps to raise awareness about cybercrime, such as issuing alerts/advisories, building capacity/training for law enforcement personnel/prosecutors/judicial officers, and improving cyber forensic facilities. This paper focuses on the latest technological challenges in cyber security. It also focuses on the most recent cyber security techniques, ethics, and trends that are changing the face of cyber security.

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With the emergence of social media as a common platform for communication among different people and communities at large, the chances for malicious usage of social media platforms for malicious activities has also increased manifold. One such malicious activity is spreading radical content over social media platforms due to the ease of sharing among several individuals and groups. The challenging aspect though for social media agencies or security agencies is the screening of humongous amounts of data to detect radical content. With no clear boundary to demarcate radical and non-radical content, the classification problem becomes challenging as the data size increases.[1]The proposed work presents an artificial intelligence based technique for detection of radical content. The proposed approach uses the concept of dictionary learning to train a Bayesian Regularized artificial neural network. The performance evaluation parameters are the number of iterations, absolute time and the accuracy. It has been shown that while the proposed system attains a classification accuracy of 97% compared to 89% of previous work.

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The present work proposes a technique for blood cancer (leukemia) classification based on machine learning. Manual classification of blood cancer is very challenging and prone to errors and therefore machine learning approaches are employed to perform the task. Out of machine learning algorithms, deep learning has emerged as the suitable candidate for analyzing such large and complex datasets with enormous divergences. The proposed work presents a feature selection and training algorithm based on the RESNET-50 Deep Neural Network for image classification. The RESNET employs the skip connection among the hidden layers so as to reduce chances of overfitting and vanishing gradient. The performance of the proposed system has been evaluated in terms of the error and accuracy. It is found that the proposed technique achieves almost 97.9% classification accuracy which is better than previous work for same dataset (91.84%).

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It is a well-known fact that the dependency of non-renewables sources needs to be reduce to deal with global warming. Solar energy is one such option which is in abundance in India. Solar PV cell are utilised to trap this energy and convert it to electrical energy. The PV cell has the ability to convert near about of 20 % of solar energy to electrical energy. The output of PV cell depends on solar irradiation and panel temperature and panel terminal voltage, based on which MPP can be attained. Hence work is to be done to achieve that point operation for MPPT. This work presents a comparative study between two maximum power point tracking (MPPT) methods in MATLAB/Simulink program that are incremental conductance method and genetic algorithm-based method. The study is performed with variable irradiation and temperature. On simulation, the results obtained are found to give boost converted output voltage of 502.13 V for GA MPPT method and 501.50 V for INC MPPT method. In addition, the output power of boost converter for variable irradiation is found out to be 92.26 KW for GA and 90.41 KW for INC respective only comparison results, GA has clear upper hand over INC method in terms of performance.

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The current innovation connects with a cycle or a motor driven vehicle which continues on direction surface and all the more especially on a street. In the case of a motorcycle, the front guiding wheel is fitted with a first crown-molded roller bearing being involved an external annular component which upholds the edge and an inside annular component which is to an arm. The arm carries at its front end a second crown-shaped roller bearing of which the internal element is made integral by way of a lug of the interior annular element of the roller bearing and of which the interior annular element of bearing is made integral with the arm. The device allows transmitting the steering forces at a point located as close as possible to the contact area between the tire and the road. In addition to that, the vehicle becomes more compact, Because of center mass, it is troublesome in guiding contrast with without center point, which can be effectively directed in manual. The power is sent with the guide of stuff drive system which is more proficient than the chain drive mechanism.

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This research paper mainly focuses on Design Analysis and Forming modelling Analysis of Light Weight Structures in Circular Beam and Solid works. A Go-Kart is Driven by a child or adult and has a steering wheel, pedals, and a seat for driver. AISI1018, which is the best material used on go kart chassis, is a medium carbon steel with high tensile strength, high machinability and provides a good balance of rigidity and ductility. It is mainly designed on CatiaV5 software and we analysed in Ansys R21.0. To check the possible structural deformation stress is applied on the structure and actual impact test is carried out and efforts are made to reduce the deformation in the structure. The design analysis for the chess piece was made in Catia V5 and it has a weight of 1.8 ounces. The Design Build of a Go Kart Many People Are Trying to Build with One1 lakh cost and we also took up the challenge of making a Go-Kart in the budget of 70 thousand. it's a dream we are for Working with the hope of making this a reality.so it's sure the project will be in high demand in the industry. The design process follows all Rules set by the 10th Go-Kart Design Challenge (GKDC) rulebook. It is one of the main systems of the go kart on which other subsystems like engine, steering and transmission systems, seat are mounted. It is one of the main systems of the go kart on which sit other subsystems such as the engine, steering and transmission systems. The forces acting on the vehicle from different directions are responsible for wear and tear in the vehicle. Hence stress arises maximum combined stress direct stress etc. using 3D Modelling software Ansys we had designed a Cad model. Which help us to visualize our Go-kart design and reduces the errors in our fabrication. Our Design is b based on following Objective: 1) Safety Strength Service availability 2) Vehicle control 3) Ruggedness Accommodation, Ergonomics & Aesthetic Durability Cost 4) High performance 5) Light weight

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In the present scenario community detection is significant for extracting the community structure of a given network. It is very important in understanding and evaluating the formation of large and complex networks. It provides us the competency to look into group-level. There are numerous algorithms that have been put forward to study the community structure in a network and had been applied to various domains. They help in classifying the nodes on the basis of their functions in account of their positions in the communities. In this paper our focus is to study the sensitivity of the similarity threshold extending the leader similarity based community detection algorithm i.e. first of all leader is selected from the network using Eigen vector centrality than on the basis of the similarity threshold the followers are selected and we get the community in the network. We also analyzed how the variation of the similarity threshold helps us to evaluate the size of the community.

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Blockchain is the cutting-edge technology that everyone is raving about, and it might completely change how we manage data in our systems. It aids in the development of decentralized and distributed systems and exhibits significant distinctions from conventional databases. We can create systems that prevent a single authority from controlling all the data. There has been ongoing research into the possibilities of its use for other non-financial applications, ever since Bitcoin introduced the Blockchain. One of the key sectors involving Blockchain is the healthcare sector. Various healthcare associations along with the doctors at various hospitals use blockchain applications for the exchanging and storing of patients' data. Blockchain applications have the ability to identify severe mistakes, some of which could be dangerous, within the medical field. Since the use of blockchain technology in healthcare, various aspects of sharing medical data such as transparency, performance, and most important of all security have been improved at an exponential level. It is a technological tool that contributes to the improvement of medical record analysis for medical institutions. The present study examines how blockchain can be applied to healthcare. Additionally, the field is experiencing rapid research growth. Various applications such as managing electronic medical records, remote or you can say virtual patient monitoring and drug supply management over all the health care departments, hospitals, pharmacy firms, etc. can be well managed and implemented using this growing technology. This paper covers a few unresolved problems and various functionalities that show potential. It also examines various methodologies under the study's constraints.

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Multiple-Input Multiple-Output systems are important for increasing the capacity in wireless channels. In MIMO system more than one antenna is used at both the transmitter and receiver sides. Compared to the usual wireless systems, the main advantages of the MIMO systems are thehigher system capacity, improved bit rates, more link reliability, and coverage area is wider. The emerging new services in wireless applications have created a great motivation to use the MIMO systems to complete the demands needed for these applications. The MIMO systems can be used with other new techniques to get the benefits by using a higher spectral efficiency. Co-operative diversity is a cooperative multiple antenna technique for increasing total network channel capacities for any given set of bandwidths In the proposed system modified 2x2 multi input multi output triangular microstrip patch antenna is designed and analyzed.

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The Night Robbery is now become a biggest challenge in front of the entire world. According to survey, India is the 3rd top most country where the night robbery rates are increasing every day hence it becomes essential for India to reduce the crime rate and to provide security to the people at night. Now a day’s robots are working for people in various sectors like industries, houses, and laboratories etc. hence we can use robot in security and surveillance field also. If the robot is going to be used for security purpose, then it will provide better security and perform its work more efficiently than human being. And as the robot is pre-programmed machine so it will reduce the chances of the errors which are generally happened by human being. Hence autonomous security robots are a new groundbreaking innovation in advanced security and surveillance technology. Patrolling robots are now widely used in various security and surveillance applications such as in household & business security purpose. Thus we are going to make a Night Vision Security Patrolling Robot which is provided with a night-vision-capable wide angle camera which is able to capture video & images at night i.e. in darker area. It is moving robot that can patrol surrounding places and capture pictures of suspicious activities, and if it finds any kind of suspicious/malicious activities, objects or person trying to enter in your compound then it sends alerts to owner via email or text message and also gives alarm through buzzer.

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The current analysis presents the effect on unsteady free convection flow past a moving vertical porous plate with influence of the magnetic strength and constant heat flux. The governing equations (pde's) of flow situation model is remoulded into non-linear ordinary differential equations via similarity technique.

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Corrosion of pipelines coatings is one of the main problems in oil and gas industries for which a large amount of money is spent each year. Coating is the first defense line in front of a corrosive environment in which pipes have been buried. Good function of a coating depends on its adhesiveness rate to the metal surface. Initial adhesiveness and its durability in the contact conditions are same among those factors that enhance coating efficiency in a long term. The rate of initial adhesiveness has a high relationship with coating movement and surface wetness by this movement in the course of applying the coating and also with the cleanliness and preparedness of pipe surface. The durability and permanence of adhesiveness depends on coating properties including its resistance in front of moisture penetration. Applying coating on the pipelines has high cost so for this reason the selection and application of coating of high importance. Also for underground buried pipe it is not possible to change their coating in short duration unlike other structures. Therefore the coating must ben durable for 20 years. This process to investigate the reason for corrosion in steel pipes with three polythene layers.

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Land Surface Temperature (LST) is one of the primary indices in the mechanics of land-surface processes on global and regional scales. It is the aggregation of the product of the terrain atmospheric interactions and energy fluctuation between the atmosphere and the terrain surface. Determining precisely the thermodynamics of LST is critical in huge range of applications such as climatology, hydrology, agriculture and biogeochemical and in change detection studies. The rapid advances in thermal remote sensing techniques have led to the measurement of LST from space borne applications in determining the impact of surface temperature dynamics at global, regional and local levels. The fundamental objective of the present paper is demonstration application of Remote Sensing techniques in determining of LST using one of the Great Himalaya watersheds of the Kumaun Himalaya, viz Pinder Watershed. For determining of the spatial distribution characteristics of surface temperature of Pinder watershed, the Landsat TM (Thermal Band) data of years 1990, 1999 and 2011 at a resolution of 30m are used. Mono-window and single channel algorithm were used to estimate land surface temperature for Pinder Watershed, and a correlation was made between LST, NDVI and Landuse/Land Cover (LU/LC) to analyses about land surface temperature and its distribution under different terrain categories by the application of GI Science techniques. The results reveals that the maximum, minimum and average temperature have increased from 21.65℃, -17.50℃, 2.07℃ to 26.07℃, -9.03℃, 8.52℃ respectively from 1990 to 2011.

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The article considers various & advanced method of modular construction which includes and emphasized that the use of modular construction to shorten the time, project design, less waste and more recycling of Materials, and more reliable thermal performance in comparison to more traditional construction, as well as improve productivity and also the main factor which is reduce the cost. The way of construction existing safe, cost efficient and Eco-friendly work. This research paper acknowledge us about the prospects and relevance of introducing modular prefabricated units is not only used in to low-rise but as well as into high-rise & multi-story building (construction) also. In recent decade there has seen a growing interest in applying modular construction, As well as the productivity in the factory is low and also the manufacturing of modular buildings remains slow in making technical progress.

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Cloud Computing is the one of the hot and high value topic in the IT industry. Cloud computing provide a new method of delivering computing resources. Cloud computing resources includes data storage, processing to software, customer relationship management etc. The goal of cloud computing for private or public is to provide easy and scalable services to the IT industry. In simple words the delivery of software, storage, network, analytics and intelligence over the internet to provide faster, economic and flexible service to the client. Amazon rollout the first kind of cloud in 2006 after that many companies like Google, Oracle, Azure, IBM any many provide the cloud services. Services provided by cloud providers are Paas (Platform as a Service), Saas (Software as a Service), Iaas (Infrastructure as a Service). Virtualization is the one of the main keyword found in the cloud world. Virtualization is creation of virtual servers, infrastructure and computing. Virtualization is the one of the foundational element in the cloud computing. As all industries are moving into cloud the security is also as important and this research paper is going to check how safe is cloud?

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