Now days due to energy crisis and harmful effect to environment, there is a urgent need of energy saving in air conditioning and water cooling demands in mainly consideration of all the free cooling techniques. Among them evaporative cooling is well known technique from long time which gives good results and wide number of applications in residential, commercial, agricultural, and institutional buildings to industrial applications such as spot cooling in power plants, foundries, etc. So in this paper the evaporative cooling, it’s potential, and different trends in evaporative cooling are studied, which are environment friendly as it uses only natural energy as latent heat of water. The efficiency and effectiveness of evaporative cooling depends on surrounding climatic conditions which are studied in this paper, faster the evaporation rate we gate maximum cooling effect.

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Greenhouse gas emission from transportation is one of the major environmental issues and its emission rate is increasing at faster rate. So solar power for transportation can solve this problem. The aim of proposed work is to contribute a technology that supports Green energy; consider a scenario we could use a solar energy to charge electric vehicle that too solar panels are inbuilt in the vehicle. As implemented, this prototype aims at nullifying the drawbacks of traditional Diesel and Plug-in Electric vehicles. The prototype uses a fully electric propulsion system. It also uses solar energy for charging as well as an included onboard plug-in charger. The Solar charging system helps to keep the battery topped off at all times. It is aimed to be an eco-friendly vehicle.

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Ready Mix Concrete is a ready-to-use material which is a mixture of Cement, Sand, Aggregate and Water. RMC is a type of Concrete which is mixed in a batching plant according to the specification of the customer and delivered to the site by the use of transit mixer as it is away from the construction site. It is necessary to ensure that concrete produced in a RMC plant should be of desired quality. Quality control is exercised in all stages right from material purchase to delivery of concrete at site. While using ready mix concrete it should be ensure that the producer of RMC has adopted quality assurance. Best practices are used to maintain quality as an alternative to mandatory standards. In order to ensure that concrete produced is of desired quality, it is necessary that quality control is exercised at all the stages right from receipt of raw material to delivery of concrete at site. This paper is an attempt to study the quality management of RMC Plant. This paper presents the results of an experimental study carried out to determine the concrete compressive strength at different RMC plants. The various control charts are drawn to know the corrective measures to be taken due to RMC production. The tests are carried out in accordance with IS standards. When applying best practice to organizations it will improve the unique qualities of an organization with the practices that it has in common with others.

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This project emphasis on design and fabrication of the river waste cleaning machine. The work has done looking at the current situation of our national rivers which are dump with crore litres of sewage and loaded with pollutants, toxic materials, debris etc. The government of India has taken charge to clean rivers and invest huge capital in many river cleaning projects like “Namami Gange”, ‘’Narmada Bachao’’ and many major and medium projects in various cities like Ahmadabad, Varanasi etc. By taking this into consideration, this machine has designed to clean river water surface. Nowadays almost all the manufacturing process is being atomized in order to deliver the products at a faster rate. Automation plays an important role in mass production. In this project we have fabricated the remote operated river cleaning machine. The main aim of the project is to reduce the man power, time consumption for cleaning the river. In this project we have automated the operation of river cleaning with help of a motor and chain drive arrangement. Some needs of automation are described below. Here using RF transmitter and receiver are to control the cleaning machine. Automation can be achieved through computers, hydraulics, pneumatics, robotics, etc., of these sources, pneumatics form an attractive medium for low cost automation.

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Electricity is one of the most significant prerequisites of present-day human progress. Without which different Indispensable applications will tie to bring to a halt. As we realize that request of electricity is expanding now days. So electric utilities incline toward load shedding when the interest surpasses the flexibly. In this way in a conveyance framework it should be exactly estimated for explicit timeframe. Programmable burden shedding time the board framework is a solid and viable burden shedding strategy that assumes control over the manual undertaking of switch ON/OFF the electrical flexibly regarding time. It utilizes real time clock (RTC) interfaced to the 8051-family microcontroller. The paper "compelling burden shedding procedure for utility division" will give genuine and capable burden shedding methods with the end goal that circulation substation can be checked and load shedding from one specific spot.

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This paper concentrates on explaining the design and analysis of the chassis of a Go-Kart vehicle. This report explains the objective and calculation made in designing a Go-Kart chassis. The primary objective is to design a safe and functional vehicle.

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Underground mining industry comes to the category, where each and every parameter such as methane gas, high temperature, fire accidents and so on has to be monitored regularly. Safe production level of mine is still low, disasters in mines occur frequently, which lead to great loss of possession and life. The disasters happening in mines are due to the complexity of mine environment and the variety of work carried out in mine, so it is very necessary to monitor the working environment of mine. The system is implemented to monitor and control various parameters in the coal mines such as light detection, leakage of gas, temperature and humidity conditions, Fire detection in the mine. These all sensors are together considered as one unit and are placed in the coal mines. All the esteems of the sensors are continuously uploaded for analysis. The developed system is mainly implemented to improve the working condition inside the mines and also to ensure workers safety.

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The efficient procurement of material represents a key role in the successful completion of the work. Poor planning and control of material, lack of material when needed, poor identification of material, re-handling and inadequate storage cause losses in labour productivity and overall delays that can indirectly increase total project cost. Effective management of materials can reduce these costs. In construction industry the problem of exceeding the overall estimated budget often arises and it seems quite challenging to be precise all the time. Its need to overcome such problems for that the proper use of inventory control or material planning is needed which is achieved by inventory management. In any construction project the working capital consist of 60 to70% material cost of the total cost of the project. The EOQ analysis can sort out the materials management problem in construction area and reduce the construction cost by the timely order of the construction materials. The main tools for the collection of data include questionnaires, and site visit to identify the annual requirement of the construction materials while various literature studies were also helpful in review of material management in construction projects.

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In this paper a Comparative study of three different cases of framed structures has been made. Bare frame structure, Open ground story frame structure and structure with infill walls in alternate story are considered for comparing different parameters such as Spectral Acceleration with time, Spectral Displacement with time, Spectral Acceleration with Spectral Displacement (Capacity Curve). The graphs of each have been plotted and results have been compared. The results have been found to be quiet interesting proving the frame with open ground story to give better results than the other two.

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Speaker Identification is a subfield of digital signal processing, which verifies the identity of a person using features of their voice samples. Now days it is considered as a popular biometric verification technique in various fields. It finds application in forensic speaker recognition, authentication, surveillance and other related areas. In this paper we presented a system developed for text independent, live identification of speaker. Python 3 programming language is used to develop the system with simple tkinter GUI. Concept of Speaker Identification is inspired from the behavior of human ears. MFCC (Mel-Frequency Cepstral Coefficient) features are considered to be best for mimicking the voice signal processing in human ears. MFCC features represent only the power spectral envelope of single frames, but information of dynamic changes in the frames would be quit useful to include in the feature vector performing delta operation over features gives this information We used MFCC + Delta MFCC features of voice signal. Using the one more delta over the delta features may increase the accuracy but it increases redundancy also so we skipped that. [7]. The whole process of this technique involves basically two modules Feature extraction and feature matching. Feature extraction is a method of extracting a small amount of data/voice signal that can be used to represent each speaker. Feature matching is the process of comparing the voice inputs from a set of known speakers. We used GMM (Gaussian Mixture Model) for training and Loglikelihood function for feature matching.

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Because of the development of Computer Technology Image Processing Technologies have become similarly significant nowadays for a wide variety of utilizations. Image Segmentation is a Great field of Image Processing or we can say Hotspot of Image Processing Techniques. Image Segmentation is an important component in many image analysis and computer vision tasks. It includes recognizing and processing the forefront of an image which can be valuable in image altering just as indifferent research-oriented fields. Basically Image Segmentation includes investigating the image and separating the information from it. Several algorithms and techniques are proposed for Image Segmentation, Classical Image Segmentation tools use either color, texture or edge information for carrying out the Segmentation process. Similarity and Discontinuity are the two mainstays of the Segmentation procedure. Image Segmentation is for all intents and purposes utilized in content-based image retrieval, object tracking in video recordings, clinical applications, and so on. This paper underscores on different methods accessible for Image Segmentation.

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The design and material of helical coil suspension is crucial in improving shock absorption characteristics of an automobile. The current study throws light on researches conducted by various scholars in improving design, manufacturing techniques and optimizing material of helical coil suspension. The application of composite materials in helical coil is also envisaged with respect to structural and vibration characteristics along with improvement in strength to weight ratio. Most of the researches were conducted using FEA or experimentation techniques.

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Engine produces high amount of heat while running. This can raise the engine temperature to very high level and can damage or seize the engine components. Hence for the safety of engine components, it needs to run at much lower temperature, which is called engine working temperature. Radiator plays a vital role in engine cooling system. When increasing the cooling efficiency of radiator causes increase the life time of engine. The efficiency of the radiator can be increased by changing the surface area or dimension of the tube or increasing the number of fins/tubes. The heat transfer rate for the existing radiator could be analyzed. After analyzing the existing radiator, the new radiator has been designed. Two flat plates are placing inside the tube which acts as the nozzle. Hence, nozzle velocity increases and pressure decreases. Pressure is directly proportional to temperature. Thus, the temperature of coolant inside the radiator decreases. As a result efficiency of the proposed radiator is increased 5.37% when comparing with existing method.

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Press devices are utilized to create sheet metals into required shape by different press activities likewise called cold stepping. A gadget is utilized for punching out sheet metal segments, for example, switches from the stock strip utilized in the switch component of thermostat. A thermostat is a gadget consequently works an electrical changing system because of detected changes in temperature in light of the remote temperature sensor controller at which the exchanging component is activated in light of a specific development of the switch instrument. The prime target of the paper is to plan dynamic and bowing devices or bites the dust that consolidates most extreme creation to deliver the part and least upkeep with "most minimal doable cost, that surpasses the desires for the client in viewpoints like Quality, Cost, for the ideal life. JDP TOOL TECH has an undertaking to configuration press instruments for thermostat switch. This paper presents CAD analysis and structure estimations for press apparatuses for the thermostat switch instrument.

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The project deals with the topic “Fiber Reinforced concrete” using Steel. The inclusion of fiber reinforced in concrete, mortar and cement paste can enhancement of engineering properties of the basic materials such as fracture, toughness, flexure strength and resistance to fatigue, impact, thermal shock or swelling. Fiber reinforced concrete is ordinary concrete containing discontinuous, discrete fibers of short length and small diameter fiber in concrete serve as crack arrestor by applying pinching forces at crack tips, thus delaying the appearances of crakes and creating a stage of slow crack propagation. The ductility of the composite is increased many fold, compared to the un-reinforced matrix, with a corresponding increase in strength. Fiber reinforced is likely to be used in preference to conventional reinforced or pre-stressed concrete, if these properties can be exploited in conjunction with advantages in construction or fabrication techniques example. The inclusion of reinforcement as an integral part of the fresh concrete or the manufacture of thin sheet products. In this project, steel fiber is used in different percentages.

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The basic concept of cloud computing is based on centralized storage where service provider maintains the distributed data centers’ computation. So sometimes cloud computing is also called as On-Demand Computing. It is basically an amplified form of client-server, cluster and grid computing. The efficiency and performance of cloud computing services are dependent upon the task submitted by cloud users. Task Scheduling is one of the most essential factors which is responsible for incrementing the performance and efficiency of cloud computing environment by through the maximization of resource utilization. This paper covers the study of different task scheduling algorithms used in cloud computing for the achievement of factors such as quality of services, performance and minimal usage of execution time. This paper aims to describe the comparison of different job scheduling techniques with respect to different parameters like response time, execution time, load balance and timespan of job to discover the best and most efficient task scheduling algorithm with respect to these parameters. In this paper tabular form is used for comparison of the different scheduling algorithms in order to find the best algorithm.

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In general music composed by recurrent neural networks (RNNs) suffers from a lack of global structure. Though networks can learn note-by-note transition probabilities and even reproduce phrases, attempts at learning an entire musical form and using that knowledge to guide composition have been unsuccessful. The reason for this failure seems to be that RNNs cannot keep track of temporally distant events that indicate global music structure. Long Short-Term Memory (LSTM) has succeeded in similar domains where other RNNs have failed, such as timing and counting and CSL learning. In the current study we show that LSTM is also a good mechanism for learning to compose music. We compare this approach to previous attempts, with particular focus on issues of data representation. We present experimental results showing that LSTM successfully learns a form of piano music and is able to compose novel (and we believe pleasing) melodies in that style. Remarkably, once the network has found the relevant structure it does not drift from it: LSTM is able to play the piano with good timing and proper structure as long as one is willing to listen.

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Geneva mechanism is a system to convert continuous circular motion into fixed step circular motion. Fixed step circular motion in other words means a circular motion produced in equal spaces of time and resulting in the same displacement which is a requirement in many automation industries. A conveyer belt is simply a linear belt mostly made up of rubber (of greater stability). It has a basic function of transporting raw material/ material in process of manufacturing. A simple Geneva mechanism consists of a drive wheel and a driven wheel. The drive wheel is a disk with a pin or a shaft near its circumference. The driven wheel consists of several slots. The drive wheel is kept next to the driven wheel in such a way that when the drive wheel is rotated, the pin or shaft fits inside the slot. As it reaches the bottom most point of the slot, the pin exerts a force on the driven wheel. As the driven wheel is pivoted from the center, there will be a generation of a moment. This causes the generation of a torque which rotates the driven wheel. Hence there is a fixed step circular motion. There are several types of Geneva rotator such as external Geneva rotator, internal Geneva rotator and spherical Geneva rotator. Geneva mechanism is one of the most simple and inexpensive mechanisms. The mechanism used for conveyer belt is an external Geneva mechanism. This mechanism gives out production of jerks or instantaneous change in acceleration. The mechanism has various applications in many industries especially the automation/automobile industry. Modern day film projectors use a variation of this mechanism to power a motor which is used for fast forwarding. In short the Geneva mechanism converts continuous rotatory motion of the drive wheel to intermittent rotatory motion of the gear. A cheap, convenient and a simple mechanism with a variety of applications.

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The exhaust systems of internal combustion engines generate noise with a wide frequency range, including particularly strong low frequency components. In such applications, silencers can be designed to work at low frequencies by reactive acoustic elements such as Helmholtz or quarter wave resonators, terms used in reactive muffler design. Mufflers play an important role in reducing the exhaust and intake system noise and as a result, a lot of research is done to designing these systems effectively the acoustic performance of reactive muffler is investigated. New regulations and standards for noise reduction and emission compel the automobile industries to make some improvements in design of muffler for attaining desired noise reduction. The work focuses on the design of a new muffler for an agricultural tractor with the aim of containing the noise within the limits given by international standards. Further, the design modifications are to be verified for noise reduction by COMSOL Multi-physics software.

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An automatic answer checker application that checks and marks answers similar to a human being. This software application is built to check subjective answers in an examination and allocate marks to the user after verifying the answer. The system requires you to store the original answer for the system. This facility is provided to the admin. The admin may insert questions and respective subjective answers in the system. These answers are stored as database files. When a user takes the test which is provided with questions and area to mark answers. Once the user enters the answers the system then compares this answer to original answer written in database and allocates marks accordingly. The system allocate marks accordingly as good as a human being.

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Nowadays the availability of internet has revolutionized the global world immensely. In today’s modern society people uses modern facilities and e-commerce to buy their everyday household products. The major success story of this e-commerce websites lies in building a trustable and honest relationship with its most precious and lovable stakeholders that is the customers and consumer base. One of the key accomplishments of an e-commerce website is in improving and improvising the usability of e-commerce platform by considering user’s preferences. User preferences can be explained as a combinational feeling and attitudes of users for the interface and functional design of the ecommerce platform. This influences user’s decision and behaviour. Considering the users preferences within an e-commerce platform enhances user’s satisfaction and increases user’s loyalty to the platform. The other aspect of installing the faith and trust within the customer is by installing a sense of security and incognito feeling to avoid the fear of online theft and cheat. Besides, the e-Commerce websites are also provided the assurance of safety, security and protections by amending various changes in the IT online market. This factor is also increasing the number of enthusiastic customers in the global arena of online e-Commerce arena. The growing number of customers and other related factors like commerce growth and prosperity seeks proper management of this e-commerce websites. They need to handle the matter more sensitively and seriously and need to fill up every loophole within their system. The e-commerce websites need to improvise and make their security measurements and usability intense. This will not only help their business development but also install cyber ethics and values within the global market of consumerism. Creating a safe and secure software program is a multifaceted and time-consuming procedure that seeks to harbour repeated challenging factors, such as functionality, scalability, clarity, productivity, etc. In this paper, we have focused on various security issues and usability of e-commerce websites. Methods and techniques to integrate security problems in software blueprint have already been constructed. However, there is one vital facet of the design of complex and composite secure systems, which has always been ignored by various well-known e-commerce organizations. Most of the research in e-commerce security program and usability emphasizes on supplying better and improved user interfaces (UIs), but it is evident that usability troubles with secure systems are more than just UIs and requires relevance of various related factors and design methodology .This process cannot function without the participation of people (the customers and consumers).

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This technology enables the features of Alexa Echo in the car which will help the driver to enjoy his journey. The technology will also help to solve the complexity of car control. Now the world using the IoT on a mass scale. During the 2020 experts estimate 31 billion IoT devices will be installed. With the help of a voice recognition system, we can control the functions of a car with just a voice.

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In This Paper work is taken based upon the witten work survey for the collaboration of models.In this project Various BIM tools such as Revit, MS Project, navisworks are used in the model simulation. A case study on the Private Health Center carried out. Developed 2D drawings in AutoCAD was converted to 3D using revit architecture for the development of 3D model. which has all the informations such as the size, shape , material, schedules of each components etc. A separate Timeliner was prepared in MS Project for linking navisworks with 3D model generated in revit, for model simulation. However, the rebuild hierarchy tasks using links was not satisfied. A sample structure was generated in order to satisfy the project objectives, a separate timeliner was generated by adding up all the tasks and assigning to each components. The simulation of model with respect to the time schedule was generated, which satisfies the model simulation in navisworks The IFC format is used to exchange the information of the project. However, some of the attributes were missed while transferring through IFC file format.

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Data mining is the ever-green growing field of research in the domain of computer science engineering. The concept of this paper shows about the role of the data mining in perspective of yield/crop analysis of farming. Mining is the process of extracting implicit and potentially needful data from the data information and it’s the process of extract data information from huge data. The data mining concept include collections of data, data extractions, data analyzing and statistic of data. At present days the most important field in the real world is agriculture and farming is the major occupation and backbone of our country and In India more than 70% peoples are depending on agriculture. Data mining is domain concerned with the extraction of the useful and meaningful data from large databases or data warehouses. Now-a-days data mining in Agriculture is one of the trending research fields for researchers. Data mining’s important task is to choose the proper data mining method. Here we using Clustering method, it’s one among the oldest method used in Mining techniques. Cluster analyzing is the process of identifying data that are similar to each other. Crop prediction is the major task in agriculture field for high productivity.

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In the increasing technology of today’s world, the data size is increasing exponentially, with variety of data being generated. Such an exponential growth of massive form of structured and unstructured data is termed as “Big Data”. The efficiency of handling of big data is increased by preferring big databases like Oracle, MongoDB, Cassandra, Neo4j and NoSQL. NoSQL provides scalability, high performance, data modeling and distribution, with continuous availability and overcomes the limitations of the relational database. It appears as challenge to many organizations to convert their existing database to NoSQL databases by preserving its complexity, integrity and heterogeneity. Along with big data comes the data cleansing operation. Here we apply an approach, which consist of two modules. The first module uses data transformation to convert relational database to Oracle NoSQL database through model transformation. The second phase consist of data cleansing operation. This proposed approach successfully converts relational database to Oracle NoSQL and quality of data is being improved due to data cleansing.

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