Volume 10 | Issue 6

 Abstract

A huge amount of data is being generated everyday through different transactions in industries, social networking, communication systems etc. Big data is a term that represents vast volumes of high speed, complex and variable data that require advanced procedures and technologies to enable the capture, storage, management, and analysis of the data. Big data analysis is the capacity of representing useful information from these large datasets. Due to characteristics like volume, veracity, and velocity, big data analysis is becoming one of the most challenging research problems. Semantic analysis is method to better understand the implied or practical meaning of the input dataset. It is mostly applied with ontology to analyze content mainly in web resources. This field of research combines text analysis and Semantic Web technologies. The use semantic knowledge is to aid sentiment analysis of queries like emotion mining, popularity analysis, recommendation systems, user profiling, etc. A new method has been proposed to extract semantic relationships between different data attributes of big data which can be applied to a decision system. The proposed model associates with genetic algorithm and association rule mining in Map Reduce platform to find out features from big data that helps users to make better decisions. The task for finding frequent item sets from big data is very difficult as well as huge time consuming.

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SENTIMENT ANALYSIS

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IDR, GDR

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 Abstract

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 Keywords

rasprry pi, GPS module, Pi camera, smart mobile application, push btoutns.

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 Abstract

Primary education, often known as elementary education or primary school, is the first level of compulsory education that occurs between early childhood education and secondary education. India's main task is to quickly give chances for its whole people to become literate and acquire fundamental leadership and problem-solving abilities to increase production, entrepreneurship, and living standards. As a result, we may conclude that education is the method by which one can address any difficulty in one's life. The author has taken the initiative to conduct a survey on the implementation of the Sarva Shiksha Abhiyan plan based on a school in Kolkata. The author has attempted to provide a clear picture of the current state of primary education, as well as some suggestions for change. The major focus is on basic education since, in an overpopulated nation like India, education is a must to alleviate all of life's challenges, and elementary education is the foundation for subsequent advancement.

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Sarva Shiksha Abhiyan, impact, implementation

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This project represents the structural behaviour of RCC twisted building subjected to seismic loads with private swimming pool using ETABS. In this paper various angles of twist and positions of swimming pools for RCC twisted building are analysed. The different rate of twist 1.5, 2, 2.5, 3, 3.5, 4, 4.5 and 5 degree per floor and three cases of swimming pool positions (every floor, alternate floor, specific floor) for twisted building are considered. The modelling and analysis is done using ETABS. Response spectrum method is used for analysis and the results obtained are plotted for parameters such as storey displacement, storey drift and base shear

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 Keywords

ETABS, Response spectrum method, Swimming pool, Seismic analysis, Twisted building

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 Abstract

Create a novel network model for mobile ad hoc network (MANET) nodes and actors in wireless sensor networks to collaborate on event processing. There are two stages in the development of distributed algorithms: setup and negotiation. The first uses weighted proportional max-min fairness to initially allocate MANET nodes across event zones, whereas the latter uses a market-based method to re-distribute the number of MANET nodes based on existing and new events. A detection technique for malicious packet dropping attacks in MANETs. The mechanism of the suggested approach is Collaborative Convolutional Neural Network (CCNN), which is based on the reputation value computed for that node by its neighbours. A node's reputation value is determined by its network packet forwarding behaviour. The reputation information is collected, saved, and transferred between nodes before being calculated under various scenarios. A network simulator was used to test the proposed protocol. The simulation results demonstrate the effectiveness of its performance. Even in the presence of cryptographic procedures, our method incurs negligible network bandwidth and latency costs. Moreover, we demonstrate that the protection is still effective in the presence of misbehaving nodes and routing changes caused by mobility. While further research is needed to thoroughly evaluate our method, we feel that the concept of collaborative security in MANETs is a potential future area.

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MANET, TCP/IP, CCNN, ADHOC

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Abstract- Bi-layer tablet is a new era for the successful development of controlled release formulation along with various features to provide a way of successful drug delivery system. Bi-layer tablet is suitable for sequential release of two drugs in combination, separate two incompatible substances and also for sustained release tablet in which one layer is immediate release as initial dose and second layer is maintenance dose. Bi-layer tablets has been developed to achieve controlled delivery of different drugs with pre defined release profiles. In the last decade interest in developing a combination of two or more API's in a single dosage form has increased in the pharmaceutical industry, promoting patient convenience and compliance. Several pharmaceutical companies are presently developing bi-layer tablets, for a variety of reasons patent extension, therapeutic, marketing to name a few. To decrease capital investment, quite often existing but modified tablet presses are used to develop and produce such tablets. This article explains about different techniques of bi-layer tablet and why development and production of quality bi-layer tablets need to be carried out on purpose built tablet presses to conquer common bilayer problems, such as layer separation, insufficient hardness, inaccurate individual layer weight control, cross contamination between the layers, reduced yield etc. There are various applications of the bi-layer tablet consists of monolithic partially coated or multilayered matrices.

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Keywords: Bilayer tablet manufacturing; Delamination; Interfacial strength; Layered tablets; Tablet compression.30-Jan-2014

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The present conceptual paper focuses on the evolution of the teaching-learning process from objectivism to constructivism through structuralism; functionalism and behaviourism finally leading from the transitory phase of cognitivism to the radiant phase of constructivism. It talks about how augmented reality is ahead of VR and the revolutionary impact it may entail. Paper gives an overview of the basic tenets of every school including its main idea, teaching method(s), and evaluation tools. It covers various aspects and activities in the B.Ed curriculum which reflect constructivism. It also offers a hopeful vision of reforming evaluation techniques. The paper presents a model of the journey of teaching-learning from Objectivism to Constructivism and in conclusion talks about how AR is the reality of tomorrow.

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Structuralism, Objectivism, Constructivism, Augmented Reality, Discovery Learning, Experiential Learning, Virtual Reality, Journey of teaching-learning

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Transportation has become an essential medium in todays life, it has become a daily routine of many people ,among those transportation medium is railway this project is mainly focuses on automation in the field of railway and i.e automatic railway gate control using Arduino uno, buzzer ,led,ir sensor etc.

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Arduino Uno, GSM,DC Motor.

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Democracy in any country should have a transparent voting system that addresses the people's issues to provide the capacity to the right person. Besides, the current traditional voting systems experience the ill effects of significant disadvantages and missing the absence of security and transparency. I proposed some strategy which recommends a system with the utilization of practicable hashing methods to keep up with information security. Square creation and square fixinghelps to make the block chain coordinated. This is prescribed to utilize helpful blockchain, and that implies that an administrating entity possesses the block chain (e.g., political decision commission), so subsequently no unapproved access might be made from outside. The structure proposed examines the viability of the polling process, hashing algorithms' utility, block creation and sealing, data accumulation, and result statement by utilizing the adjustable blockchain method.

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Block chain, Vote Identification Token, Cryptographic algorithm, Image comparison and QR-Code

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COVID-19 began in China in December 2019. As of January 2021, over a hundred million instances had been reported worldwide, leaving a deep socio-economic impact globally. Current investigation studies determined that artificial intelligence (AI) can play a key role in reducing the effect of the virus spread. The prediction of COVID-19 incidence in different countries and territories is important because it serves as a guide for governments, healthcare providers, and the general public in developing management strategies to battle the disease. The prediction proved beneficial in the early months of 2020 to alert nations and territories in danger of an outbreak, allowing them to take preventative measures. Despite the fact that the COVID-19 outbreak has expanded to practically every location on the planet, the prediction has value in terms of monitoring the intensity of the spread and recovery, as well as determining the likelihood of a sequel or tertiary epidemic. COVID-19, like influenza, could become a seasonal or recurring epidemic in the future. COVID-19 activity must so be predicted and monitored now and in the future.

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Machine learning, Cloud computing

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Growing population in metro towns is leading to huge vehicle density, the problems for car parking has become an unending question. Centralized car parking systems have been set up to avoid roadside parking and other related traffic problems.In many cities, car drivers look for a parking slot during rush hours or during traffic jams. This app presence an efficient method to check the availability of the parking slot and to reserve a slot.Existing work will focus solely on parking slot availability. However in this fast paced world drivers cannot confirm whether a parking slot is available as per the demand.To conquer this disadvantage, clever parking with reservation cell primarily based totally surroundings is proposed. This will make it easier for motorists to park their vehicles and avoid traffic jams. Drivers can provoke the request the usage of the reservation app on Android mobile to decide the provision of a parking slot.The driver can reserve the slot through the online payment system if the slot is available. The proposed system also allows drivers to cancel a reserved parking slot. The amount will be refunded after cancellation charges.

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Parking Slot, Traffic Congestion, Vehicles, Reservation Slot

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The objectives of this project are assessment between ETAB software and manually designs. The design includes load calculations and analyzing the whole structure by ETAB. The design methods used in ETAB analysis are Limit State Design conforming to Indian Standard Code of Practice. These involve ETAB Modelling, Study the members due to the effect of Wind (WL) & Seismic load (SL) & compare them for a 30 m height Building with Cement Concrete, Rebar & Steel construction. The proposal structure is a G+10 storied building with 3.00 m as the height to each floor. The overall plan dimension of the building is 21.50 m x 14.5m.

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Multi-storeyed building, wind effect, seismic effect, manually calculation, Steel and cement concrete composite structure and ETAB.

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Different epidemiological studies have shown that type 2 diabetes is associated with a 2-to-3-fold increased risk for sudden cardiac death. This system proposes a new scheme to detect the possibilities for the cardiac arrest based on the diabetic patients socioeconomic profile and their activities. The algorithm analyses to find a subset of instances that are the best fit and based on that is able to predict the outcome. Initially user should register in this application with basic personnel details. After completion of successful registration, user should login into this application with registered user name and password. Login authenticated users will get the home page to enter their health related details to predicting the risk factor level for cardiac arrest or heart related problems. Age, Gender, Smoking habit, Obesity, Alcohol intake, High salt diet, High saturated fat diet, Physical activity with exercise detail, Sedentary life style, Bad cholesterol, Blood pressure, Blood sugar and Heart rate are the required data to predict the risk factor for the cardiac arrest using rule mining. This project is to be developed using Python with Scikit-learn as front end and MySQL as back end. Scikit-learn machine learning library for Python.

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Diabetic to Cardiac, Rule based classification, Risk factor

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University attendance is usually done on paper, which might lead to mistakes. Manually taking attendance takes longer. In the past we were using methods such as roll number calling and circulating attendance sheets to the students which used to cause some issues such as proxy attendance and it used to take so much of time and effort. So, to make this easier, In this project, we used the Raspberry Pi to create an Attendance System.

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Attendance, Face Recognition, Raspberry Pi, OpenCV.

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This paper describes the design and implementation of overload protection for DC motor speed control application based on Artificial Intelligence (AI). A replica of DC motor hardware was modeled for simulation. Two neural network models were designed under no load and rated torque conditions to predict the output voltage to be applied for the given DC motor to achieve desired setpoint speed. From the output of a Proportional Integral (PI) controller the Neural network model will predict the voltage to be applied and a comparator will determine whether the voltage that has to be applied for the current load exceeds than that for the rated torque of the DC motor. The outcome from the comparison is the safety for the equipment by not exceeding rated current value and thereby reduce the thermal degradation of motor windings. A PI controller with delimiter can limit the output of the PI controller and thereby protect the motor windings from higher voltages, still, the windings get degraded when the motor run under overload conditions with lower setpoint speed for longer period. Simulation and real-time experiments along with the results are presented to demonstrate the reliability of the proposed control method over the traditional PI controller in DC motor speed control applications.

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OVERLOAD PROTECTION USING ARTIFICAL INTELLIGENCE FOR DC MOTORS

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Ankylosing spondylitis (AS), a frequent kind of spondyloarthropathy, is a chronic inflammatory autoimmune disease that mostly affects the joints of the spine, producing severe, persistent pain and, in severe cases, spine fusion. In the recent decade, significant progress has been made in terms of pathophysiology and therapy. Innate cytokines and immune cells have been studied. Human leukocyte antigen (HLA)B27 and the interleukin 23/17 axis are thought to be important in the pathophysiology of AS. The pathophysiology of AS, on the other hand, is unknown. The present study looked at the origin and pathophysiology of AS, as well as how it affects people. cytokine pathways and genome-wide association studies The present pharmacological and surgical landscape was also described in this study. Treatment will be followed by a discussion of prospective future therapy. Nonsteroidal anti-inflammatory drugs (NSAIDs) are currently the first-line drug treatment for inflammatory symptoms. Treatment with NSAIDs, on the other hand, has only a symptomatic effect and is unlikely to change the course of the disease. course. Second-line therapies, such as corticosteroids and other disease-modifying antirheumatic medications, are used for symptoms that are resistant to NSAIDs, although they are of little efficacy. Emerging biological treatments are aimed at the inflammatory processes that cause AS, and hence have the potential to improve the condition. In addition to symptom alleviation, the illness process is aided

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Ankylosing spondylitis, HLA B-27, NSAID"S, Corticosteroid's, Thoracolumbar kyphosis

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Efficient Wireless Fog Networks Management by Software Defined Networking

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The Constitution of India has envisaged three different organs assigning them with their respective roles. It is true that due to change in the society the role of Judiciary has marked significant change from performing its traditional function to a more participatory role thereby catering the needs of the society. The paper attempts to analyse various basic principles which outlines the Indian Constitution i.e. Rule of Law and Separation of Power and the impact of the newly assumed creative role of the Judiciary on these principles. Further, the paper also analyses the impact of the Judicial Activism. And whether Judicial Activism has turned into Judicial Overreach?

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Judicial Activism, Judicial Overreach

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