While there is noteworthy field validation of the advantages of geosynthetic-reinforced hot mix asphalt (HMA) overlays, their utilization has concentrated on limiting the implementation of fatigue cracking, reflective cracking, and permanent deformations. The application of geosynthetics in HMA overlays may also enhance the mechanical performance of controlling deformations and diminishing strains in the asphalt layers. In particular, geogrids in black-top overlays are also expected to create reinforcement mechanisms that add to the structural capacity for the pavement. Geogrid interlayer between the asphalt layers is a useful technique for the alleviation of reflective cracking and the advancement of fatigue life of asphalt structures. This paper aims to review the application of geosynthetics in asphalt pavements and their advantages. The observations demonstrate that the geogrid reinforcement enhances the service life of a flexible pavement by increasing the fatigue life and restricting reflective cracking.

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Assessment of a structures blast capacity has become an important focus in structural engineering. In response to heightened terror awareness numerous existing structures must be evaluated for conformance with security standards. Determining the blast resistance of a structure is a first step towards evaluating the potential need for retrofit construction. Numerous methods can be employed to determine the blast resistance of a structure, oftentimes over-simplified or too complex. A common lateral load resisting system that is particularly vulnerable to blast loads is a reinforced concrete shear wall. The purpose of this paper is to see the variation in storey deflection and storey drift under the effect of blast over the structure with or without the shear wall and when the shear wall is at different position with respect to the blast direction.

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Accounting to the expeditious digitization across all channels and mediums, the menace of fake news has been burgeoning at a colossal scale. Majority of the countries all across the world are trying to combat this challenge. This paper explores the application of Natural Language Processing and Machine Learning techniques to identify fake news accurately. Pre-processing tools are used to clean the data and apply feature extraction on them. Then a fake news detection model is built using four different techniques. Finally, the paper investigates and compares the accuracy of techniques which are Naive Bayes, Support Vector Machine (SVM), neural network and long short-term memory (LSTM) to find the best fit for the model.

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Traffic clog has been an overall issue which results into wastage of time, vitality and causes natural contamination. ID of clog is the underlying advance for choosing fitting strategy to stay away from this situation. To comprehend blockage in basic manner it is characterized into various classes. There are number of explanations behind the clog issue. There are various potential clog organization techniques. The recommended two related measures are for traffic the executives are; Regularity measures and Economic measures. Consistency measures are access the board and stopping the executives and evaluating strategies are financial measures. This paper presents a layout and potential ways for the ID of gridlock issue. The survey covers different angles like definition, blockage classifications, portrayal and gridlock the board. This paper surveys distinctive sensor systems by enclosing the points of interest and hindrances of each as far as cost, unwavering quality, precision, productivity and support overhead.

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Brakes are one of the most important control component of vehicle. They are a mechanical device in which friction torque is used to slowdown or stop the rotating member. They are required to stop the vehicle within the smallest possible distance and this is done by converting the kinetic energy of the vehicle into the heat energy which is must be dissipated into the atmosphere. Disc brakes in the vehicles give much better performance compare to drum to stop the vehicle. Heat generated during braking force can be easily dissipated to atmosphere. But the main problem is with the material used in the disc brakes in some vehicle. Analysis of the contact pressure distributions at the disc interfaces using a detailed 3-dimensional finite element model. Finite element (FE) models of brake-disc rotor are created using CATIAV5R20 and simulated using ANSYS 18.2. The main aim of this thesis is to improve the strength of the disc by taking various materials for analysis. and the materials like Aluminum Nitride, Silicon Nitride, Aluminium Alloy ALSI 398, Aluminium Alloy 1300, Silicon Carbide, Aluminum Oxide, Zirconium Oxide and Composite materials Carbon fibre are taken. And these are the materials which are used for comparison the material behaviour on stress, deformation, heat flux, displacement, elastic stress, and strain and carried out the behavior of maximum and minimum level then we get Carbon fiber is best materials other than materials because its durability and light weight.

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The quality of weld joint is influenced by process parameters during the welding process. In order to achieve high quality welds, input process parameters should be controlled. In this investigation four input process parameters such as arc rotational speed, ratio of wire feed rate to travel speed, wire feed rate and eccentricity are considered. The experiments were conducted on square butt joint plate of 5083 H111 aluminium alloy using full factorial design of experiments. Output parameters like bead penetration, bead height, bead width are measured. The fuzzy models for bead penetration, bead height and bead width are developed using fuzzy logic. This fuzzy model has been used for prediction of output parameters. Accuracy analysis of weld bead geometry is also performed. It is observed that % of error is less than 10% in most of the cases for bead height and width and less than 20% for bead penetration.

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This research focus on the creation of a methodological roadmap for guiding the application of different goal-oriented strategies. The roadmap provides the infrastructure for modularizing and consequently integrating parts of alternative goal-oriented methods, called method fragments. This allows the adaptation and extension of existing methods so that they can fit to the characteristics of real projects and their contexts. Navigation of a roadmap needs to be facilitated by associated guidelines. These guidelines describe knowledge regarding the situations under which a method fragment is applicable as well as the process that should be followed to apply a particular method fragment. Progress of our work in this area has been reported.

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A brain computer interfaces (BCI) is a communication system that translates brain activity into commands for a computer or other devices. Brain computer interfaces (BCI) technology is a powerful communication tool between users and systems. It does not require any external devices or muscle intervention to issue commands and complete the interaction. In other words, a BCI allows users to act on their environment by using only brain activity, without using peripheral nerves and muscles. The major goal of BCI research is to develop systems that allow disable users to communicate with other persons, to control artificial or to control their environment. An alternative application area for brain computer interfaces (BCIs) lies in the field of multimedia communication. To develop systems for usage in the field of assistive technology or multimedia communication, many aspects of BCI systems are currently being investigated. Research area include evaluation of invasive and noninvasive technologies to measure brain activity, evaluation of control signals, development of algorithms for translation of brain signals into computer commands and the development of new BCI application. In this paper I give an introduction to some of the aspects of BCI research mentioned above, present a concrete example of a BCI system, and open problems.

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Artificial intelligence (AI) is a branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Since there are advancements in machine learning and deep learning which is creating a shift in every industries sectors and handling various type of operations even better than humans. Majority of the repetitive tasks are now replaced with AI which was previously done by humans. Every organization is looking to replace the minimum qualified manpower with AI robots which can do similar work with more efficiency and if we talk about the chatbots, A chatbot is a computer program that simulates human conversation through voice commands or text chats or both. Since the time chatbots have entered the digital world, every marketer is curious to use them as a major tool to daily interact with their customers. Chatbots attend to customers at all times of the day and week and are not limited by time or a physical location. This makes its implementation appealing to a lot of businesses that may not have the manpower or financial resources to keep employees working around the clock. Now a days, in food delivery app business like Zomato, swiggy, chatbots are used to solve customers’ queries or problems, but chatbots are really effective in that business model? The target customer of this business model are the people who don’t have time to go outside to take a food, they want convenience at their home or not ready to take a pain, so their queries should also be solved in the most convenience way.A chatbot is used to serve the user request. It is crucial for the chatbot to plan how to perform the task requested by a user. Chatbot responds to each user request by learning from the conversation so as to what the request is. There is no doubt that machines are much better when it comes to working efficiently but they cannot replace the human connection that customer executive makes with their customers as the customers find the real interaction more reliable and engaging. Machines cannot develop a bond with humans which is an essential attribute when comes to customer service. It’s now so much easier for customers to complain about bad service, meaning it’s much harder for brands to satisfy customers’ wants and needs. To interpret the efficiency of chatbots on customer satisfaction and to determine if customers still prefer human interaction, this study is conducted. In order to conduct the research’ primary data is collected. Sample size is 191 respondents. The samples are collected from the population already interacted with the chatbot technology in different food delivery apps. Further, Statistical tools like correlation, regression, percentages using SPSS are used to analysis the data.

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This review paper shows the research being done by many researchers and their achievement in the field of TROPOS Methodology. This paper focus on the creation of a methodological roadmap for guiding the application of different goal-oriented strategies. The roadmap provides the infrastructure for modularizing and consequently integrating parts of alternative goal-oriented methods, called method fragments. This allows the adaptation and extension of existing methods so that they can fit to the characteristics of real projects and their contexts. Navigation of a roadmap needs to be facilitated by associated guidelines. These guidelines describe knowledge regarding the situations under which a method fragment is applicable as well as the process that should be followed to apply a particular method fragment. Progress of our work in this area has been reported.

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Currently the systems which are going down in various sectors are taking up-to 2-3 days to get restored to working state which is a huge drawback in todays tech-savvy world and also a drawback in achieving Digital India. In todays world every process is somehow related to computer systems in various ways and every industry is using systems on large scale may it be manufacturing , educational , banking etc. so if the system crashes its a huge loss/problem to stop the processes for a day or two in medium and small scale industries as they cannot afford proper full time IT employees .Also the problem arises is that services are not available 24x7 in the market so its a loss/wastage of time , currently these problems are being resolved/diagnosed in 2-3 days. This Issue will be resolved by HSPM Solutions by assuring Diagnostic Guarantee of 90 mins at clients doorstep. The diagnoses will be applied on the devices within a stipulated time period of 24 hours and getting a detailed report about the issues which the devices are facing will be generated. HSPM Solutions will be covering majorly devices related to computer systems like smart phones, tablets, laptops & desktops. The Procedure will be completely based on online platform starting from the raise of request from the user side till the final step of payment acceptance.

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The novel COVID-19 pandemic has taken a root in nearly every country of the globe, upending the operating exposure. COVID-19 is truly a global health issue and a massive reason that has rapidly affected the Economic exposure of every country which has a substantial impact on a company’s market value since it has far-reaching effects and is long term in nature. While, the pandemic seems likely to remain a fact of life for the foreseeable future it is very important to analyse the trend of Covid-19 and its effect on the Economic Exposure Index, which will assist us in understanding and gaining insights regarding the same. The propounded report of exploration studies aims to evaluate the Economic Exposure Index and train Machine Learning model that will predict the value of the Economic Exposure Index when the respective prospective data is entered concerning the same. The principle focus is to perform data analysis and train a model using the most popular Machine Learning algorithm – Linear Regression in order to analyse the historical data that is present regarding the Economic Exposure Index (EEI) and its indicators.

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Electricity is that the heart of todays world. And currently the planet goes to be digital thus electricity is extremely abundant necessary side. Generation and provide of electricity are that the primary task of electricity board, however it is conjointly necessary to live the ability employed by the patron that is taking readings and generate the bills. In the current state of affairs taking a reading and generating bills is manual work. It is terribly time intensive. Power stealing is that the one with all the most important issues in Bharat. Generally, user did not pay the bills on time that the electricity board employee cut the power supply manually. During this case, corruption done by the user or that employee that results in the loss of electricity board. In some areas, cameras conjointly accustomed to take a reading, however it is a really sophisticated system and not so easy. To avoid these issues, we have proposed a wireless system for smart electricity meter and billing system using IOT (Internet of things). We have also used the relays to cut down the power supply of unpaid user which might be controlled wirelessly using IoT.

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In this Work welding of Friction stir welding of aluminium alloy AA 7075 using an FSW machine was successfully completed. The Aluminium alloy is used in marine, Aerospace, Automobile applications. In FSW the downward or forging force was found to be dependent upon the shoulder diameter and rotational speed whereas the longitudinal or welding force on welding speed and pin diameter. The tensile strength of welds was significantly affected by welding speed and shoulder Diameter. The welding speed directly affects the percentage of elongation. The studies shows a fine grains Occurs in the weld nugget zone (WNZ) and Micro structural changes in the thermo mechanically affected zone (TMAZ) were found to be combined and influences of frictional heat and deformation. A maximum Joining efficiency was obtained for welds with good elongation. Microstructure studies shows a Coarsening and or dissolving of precipitates in nugget. Furthermore the Void defect is formed in the joint whereas the weld speed or rotational speed is quite high. In these Work different Parameters is taken for Friction stir welding as rotational speed, Welding speed and a constant Value is taken for Shoulder Diameter and Pin Diameter.

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The soft drinks consumption is increasing day by day, not only in India but in the whole globe. To meet out the growing demand of the market of soft drinks, new industries for the processing of the soft drinks must be set up. This paper gives the overview about the basic Production Process involved in making “Carbonated water-based flavoured drinks”, which has the largest market share in all the non-alcoholic drinks. The basics of mixing of the ingredients at specified temperatures, carbonation of the mix to make beverage and then packing in bottles or cans and then dispatching for consumption, are given in this paper. Some information regarding utility services of the plant is also provided.

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Shear walls are the structural elements of the horizontal force resisting system. Shear walls have high influence stiffness and strength and provided to resist gravity load as well as lateral load caused by seismic and wind. So many literatures are available to analyze and design of shear wall. However the optimum location and its effects in high rise RC buildings is not much discussed in any literatures. In this project the main aim is to find the effective, efficient and optimum location of the shear walls in high rise irregular RC building. In this present study the optimum location of shear wall has been investigated with the help of three different Model 1 is bare frame structural system and other two models are dual type structural system with central core wall and corner shear wall. An earthquake load is calculated as per IS 1893(PART-1)-2002 and applied to (G+15) storey R.C building in zone-2 and zone-5. Based on the conventional wide column analogy, two different three-dimensional shear wall models. These approximate models are verified in comparison to not only the results available in the literature but also the ones obtained by using models containing shell elements. With the help of these new models three different groups of shear wall-frame structures such as L-shape, U-shape, rectangular shape with same floor plans and same heights are analyzed. The structure is analysed and design under static and dynamic loading conditions. The results of these computations are observed to be in good agreement with those obtained by detailed models containing shell elements.

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This research paper shows the proposed methodology, sun radiation is provided to the Photovoltaic module, which creates the electrical force that is then created with the aid of the P&O, MPPT and boost converter to keep the input side voltage of the inverter constant for SP. Two separate PWM strategy is then used to generate the control signals for the three-stage inverter. The inverter is connected to the resistive load along with an inverter type L-C in which the harmonics are used to decrease from the inverter output. Inverter is operated by both SPWM and SVPWM modulation techniques and evaluated both the inverters THD along with the filter output voltage at that point find that SVPWM strategy has less THD when compared with SPWM. And shows that the SVPWM approach is highly competent than the SPWM modulation of the sinusoidal pulse duration

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Additive manufacturing is the technology which is bringing a revolution in the manufacturing of any three dimensional object. Additive manufacturing is also known as 3D printing. 3D printing is a method of manufacturing things in which materials like metals and plastic are deposited to form a three dimensional object. Additive manufacturing or 3D printing presents a series of benefits for the manufacture of single automobile component or an entire vehicle while ensuring strong, suitable physical properties. In this paper a large number of research papers on additive manufacturing and automobile had been studied. 3D printing has the potential to enable mass customization of goods on a large scale, which is now a days visible as many industries are working and producing a lot of goods from the three dimensional printing. Huge companies like Volvo, BMW, and Ford have used 3D printers for product development and rapid prototyping of their new and experimental car parts. It is the technology which is also rapidly emerging in the field of orthopedics, soft bones like cartilages and bone tissues can be obtained from this. In this research paper you will get to know about how additive manufacturing is emerging in the biggest sector of manufacturing such as an automobile industry.

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for obtaining efficient stability and good regulation of different devices in power system and industrial applications, automatic voltage regulators (AVR) are increasingly used. This paper presents on review of automatic voltage regulator for synchronous generator. It is used to obtain for regulation and stability of any electrical equipment. There are many technology/methods were used in automatic voltage regulator as well as different controller used for improving robustness, overshoot, rise time and voltage control, but this paper is about the review of AVR using different techniques.

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CFD analysis on variation of throttle for venturi chamber of floating carburetion system. The computational analysis of flow properties on venturi chamber of their various nozzle angles with throttle variations are 32o, 34o and 38o, 42o respectively. The numerical and flow properties analysis had done to investigate pressure inside venturi as well as velocity and mixing properties of air-fuel ratio to get better atomization properties and thermal, mechanical efficiency. To increase volumetric efficiency of engine, improve design of venturi so we took mentioned angle that to do investigate as cfd analysis to improve its flow properties as well as mixing properties. To improve better system in inside of floating carburetion system to produce better result.

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The view of CFD analysis of 200 mm long helical pipe segment of heat exchanger with five turn. We have check on performance analysis by CFD for inlet, outlet and wall condition and boundary condition with its degree of freedom. Efficiency of heat exchanger and its dimensions are ones of the most important parameters to consider in engineering design. The size of heat exchanger can be more compact by introducing the fins to increase the heat transfer rate between the heat exchanger surface and the surroundings. Different engineering methods are used in heat exchanger design process. The proper correlations or modelling and simulation tools are often applied to receive the general recommendation at early stages of exchanger study. The performance of the fin-tube heat exchanger for different fin thickness is calculated. To give indications about the accuracy of numerical outcome, the most popular correlations are evaluated and results obtained from Ansys FLUENT program are verified. Analyzing the output, it seems that the implementation of the CFD model. My project aims to perform a numerical study of helical coil tube-in-tube heat exchanger with water as both hot and cold fluid. To improve the effectiveness and its efficiency through this analysis.

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The report presents the static analysis and Time History Analysis of an elevated water tank using STAAD Pro V8i software. The design involves load calculations manually and analyzing the whole structure by STAAD Pro V8i. The design method used in STAAD Pro analysis is Limit State Design and the water tank is subjected to live load, dead load, self-weight and seismic loads. Seismic load calculations are done as per IS 1893-2000.Eigen solution so obtained helps in determining the base shear and various peak story shear values of the structure. Frequency analysis gives the natural frequency of the structure and time history, which defines the behaviour of the structure in certain interval of time against various functions like velocity, displacement and acceleration and hence the graphical solutions has been drawn for each analysis. In the present study, three earthquake ground motions selected are considered as an input motion for the time history analysis and applied at the base of the structure. The seismic performance of the elevated water tank under three different selected earthquake (Kakinada, Elcentro and Bhuj) records will be examined for different staging configurations. For time history analysis STAAD Pro v8i software is used for the structure. The output parameters Base Shear, Nodal Displacement at the top of tank, Mass Participation factor, Time period of Vibration in various structural elements of various cases of water tank has been investigated and also been compared with static analysis results.

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This paper brings in continuous monitoring of bore well in the agricultural land and this is “IoT based bore well monitoring system”. To solve this we are to introduce a continuous process through IOT using micro controller. This is programmed to read the data from sensors and performs various calculations. It will operate in an automated process where the job of the farmer is only to monitor the parameters like water available, quantity of water taken out and leakage in the pipeline etc. In a very short span of time, the overall statistics inside the bore well will be gathered with minimal man power. This provides simple monitoring and the time spent by the farmer in worrying about water scarcity is being reduced.

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The growing demand of power for a variety of human activities cannot be answered without continuous efforts of exploring better options and application for sustainable energy sources. Today power has become one of the major needs of human life however, one of the fear of the generation is whether the current energy sources continue to generate the required amount which has a progressive trend across generation. Hence, dreaming future days with insufficient or no electricity makes the generation future very difficult or impossible. Therefore, such conditions call an integrated research approach on power generation and it is our responsibility to work and come up with a possible means of sustainable and green energy production for satisfying our day to day progressive energy requirements and make the planet earth a better place to live in. The rapid industrialization, growing technology and expansions have demanded very high power of electricity that is increasing day by day and thereby the world is facing energy crisis due to limited power resources. The electricity generation greatly depends on conventional sources, which are limited in amount and some are harmful for the environment. Therefore, it is critical to explore an environmental friendly and sustainable energy source. In order to reduce the greenhouse gas emission, the renewable energy sources are now widely utilized for electricity generation. Among different renewable energy production technologies, solar and wind technologies are widely used for large- scale electricity generation. Though still a small percentage of renewable resources are exerted for electricity generation, the researchers are trying to improve technologies so that the green electricity can be economically feasible, environmental friendly and sustainable in the electricity production industry.

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In today’s fast-paced world, a lot of individuals are not concentrating on their health as much and have increasing amounts of stress which lead to the introduction of a large number of unhealthy lifestyle choices that have been affecting their health significantly. These factors contribute to the large-scale increase in the number of heart diseases and failures which are highly difficult to predict. Even the doctors are unable to perform any predictions as they are unable to process the varied parameters that govern the rate of heart failures. Therefore, the machine learning paradigm comes to the rescue in this situation as it can analyze and process complex events to gain predictions. The machine learning approaches require massive amounts of data to enable complex processing, which is not ideally possible due to the inherent nature of personal medical data, due to which a sparse number of datasets are available in this regard. Therefore, this publication defines an innovative solution that utilizes Fuzzy C-means clustering, Logistic Regression along with Hidden Markov Model and Fuzzy Logic to achieve effective and accurate Heart Failure predictions. The proposed methodology has been rigorously tested against conventional approaches that have produced exceptional results and prove the increased accuracy and speed of the technique defined in this paper.

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