English is a global language which is spoken worldwide. English language is the gateway to global growth. The most important function of language is to communicate properly. Hence, English language plays a powerful tool in communication. It bridges the gap between the 2 nations, cultures, state. In order to connect successfully, one needs a language that is normally understood by most of the people. In today’s world, the knowledge of English language makes an individual literate. Those who have the command over the English language are considered and respected highly educated. Moreover, the ocean of career opportunities is opened to those English-speaking people anywhere and everywhere. The main aim of this paper is thus to render solutions to those people who faces problems in English language learning and communication. Though this study will not only remove all the hurdles but yes, practice makes a man perfect. Hence this paper provides you all the basic tips and tricks to improve your skills of English language. This paper not only focusses on the DO’S but on the other hand it equally throws light on the DONT’S which is necessary to keep in mind for a better understanding of the language.

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This paper describes about the planning, analysis and design of portable frame hangar to be built at Chennai. Normally lot of internal space is required for hangar, so it is preferable to build a portal frame. In this project analysis will be done both manually and by using STAADPro. The following components will be designed as per IS Standards Roof truss, purlin, columns, bases and footing will be designed. The hangar to be designed is a "FREE STANDING AIRCRAFT HANGAR".

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Soil stabilization is a technique of improving the properties of soil such as bearing capacity, shear strength etc. This can be done by using several methods. The usage of admixtures is such a technique. Foundry sand waste is an industrial waste which we can add to improve the properties of soil. It will also solve the problem of disposal of waste foundry sand. The effect of Foundry sand on the geotechnical characteristics were investigated by conducting various tests as per Indian Standard specifications. This paper focuses on the beneficial use of Waste Foundry Sand on the geo technical characteristics of soil and its applications as a soil stabilizer.

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Huffman coding is a method of data compression that is independent of the data type that is the data could represent an images and data. This compression scheme is used in JPEG. Huffman coding works by looking at the data stream that makes up the file to be compresses. The image compression is a technology in the field of digital image processing. Images are very important documents nowadays; to work with them in some applications they need to be compressed, more or less depending on the purpose of the application and it reduces the size of the files. The need for an efficient technique for compression of Images ever increasing because the raw images need large amounts of disk space store seems to be a big disadvantage during transmission & storage.so that compression techniques are used. There are various algorithms that performs this compression in different ways; some are lossless and keep the same information as the original image, some others loss information when compressing the image. In this paper we have to propose the Lossless technique method of image compression and decompression using a simple coding technique called Huffman coding. This lossless technique is simple in implementation and utilizes less memory.

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There are various sources of air pollution like power plants, oil refineries, industrial facilities, factories etc. It consist of pollutant particles like NOx, SO2, Ozone CO, PM2.5 etc. which are very hazardous to human health. To purify air there are many devices among which fabric filter is most efficient. They collect particles with sizes ranging from submicron to several hundred microns in diameter with better efficiency.

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Data mining is the useful tool to uncovering the knowledge from large information. Some methods & algorithms are available in data mining. Classification is most familiar method used for finding the mine rule from the large info. Decision tree learning algorithm has been successfully used in expert systems in capturing understanding. decision tree method normally used for the Classification, because it is the simple hierarchical structure for the user understanding making. Data mining is the process of discovering patterns in large data sets require methods at the intersection of machine learning, statistics, and database systems. It is also called as KDD (knowledge discovery and databases). A decision tree is a tree in which each branch node represents a choice between makings . Decision tree starts with a root node represents a classification or decision. Some methods & algorithms are available in data mining. Classification is most familiar method used for finding the mine rule from the large database.

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Data Mining plays a systematic role in medical industry for prognosis of diseases. Diabetes disease is one among the major global health problem. Diabetes could be a un wellness within which the body’s ability to supply or reply to the secretion hormone is impaired, leading to abnormal metabolism of carbohydrates and elevated levels of glucose in the blood. This method helps to predict Diabetes. Detecting the disease in early stage can save human life from other health issues which can occur due to Diabetes. This paper provides a survey of information mining ways that are commonly applied

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By means of the significant improvement of the usage of computers through the network and spreading out in application running on several platform captures the deliberation toward network security. This suggestion exploits security susceptibilities on the entire computer systems that are theoretically challenging and expensive to resolve. Therefore, intrusion is employs as a key to conciliate reliability, availability and privacy/confidentiality of a computer resource. An Intrusion Detection System (IDS) participates a noteworthy responsibility in detecting anomalies and attacks over’s network. In this research work, data mining conception is integrated with IDS to sort assured the relevant, masked information of interest for the user efficiently and with fewer execution times. Four concerns likely categorization of Data, Lack of labeled Data, Extreme Level of individual Interaction and efficiency of D-DOS are being determined by using the projected algorithms like EDADT algorithm, Semi-Supervised come within reach of, Hybrid IDS model and transforming HOPERAA Algorithm correspondingly. In this paper, proposes a SVM and KNN-ACO scheme for the in. This proposed algorithm shows enhanced precision and concentrated false alarm rate when matched with existing algorithms.

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According to the reports of World Health Organization, NCRB social government organization 35%Women all over the world face a lot of unethical physical harassment publicly places like railway bus stands, foot methods etc. so propose system is useful in such things.Propose system offline mobile security feature that takes an image of anyone World Health Organization inputs a phone’s parole incorrectly 3 times or further. Its intent is to help people with stolen phones grab a shot of the criminal, maybe to help phone owner. It works taciturnly. The app uses the front-facing camera to snap a picture of the snoop and email it to you. There area unit several places like Hospitals, petrol pumps, Universities, corporate offices etc. wherever it is clearly mentioned, "KEEP YOUR MOBILE PHONES SILENT!!" over and over individuals forget to change the mobile to the "Silent Mode" which is not possible every time like during an important meeting, lectures etc. This application automatically changes user profile as per location. With the help of propose system user can get any contact from his/her mobile, user can start mobile information and track location by sending specific SMS and point is user can access them from anywhere at any time.

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A noval method of hybrid system with solar power generation and wind power generation to form a microgrid is proposed. It consists of DC-DC interleaved boost converter for step up of DC voltage from the PV panel. Maximum Power Point Tracking (MPPT) technique used here is genetic algorithm. Genetic algorithm provides a good dynamic response over the non-linearity of the solar PV panel input irradiance variation. The renewable sources forms a common DC link bus where the solar and wind power generation is synchronized and the DC voltage is converted to three phase AC output voltage using VSI with Pulse Width Modulation (PWM) pulse generation. The PWM pulse is generated with PI controller. The output of the proposed system is connected to the grid with nominal voltage and nominal frequency. The proposed system is simulated in the MATLAB / Simulink Simulation software.

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The data mining methods are applied to discoer the hidden knowledge from large databases. The association rule mining methods are applied to discover the frequent item set mining process. The association rule mining method considers only the frequency values. The importance of the attributes are not focused in the traditional rule mining process. The weighed rule mining and utility based mining methods are introduced to discover the rules with item importance analysis. The literature survey is conducted on weighted rule mining, sequential rule mining, privacy preserved mining and utility based mining methods. Distributed rule mining and rule pruning techniques are also analyzed in the comparison process. The high utility rule mining process is build with pruning methods.

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Throat Cancer is one of the large issues today, diagnosing Throat malignant boom in prior stage is as yet trying for professionals. Distinguishing proof of hereditary and ecological elements is essential in developing novel strategies to understand and anticipate malignancy. Accordingly a novel multi layered strategy becoming a member of bunching and desire tree process is utilized to assemble a Throat malignant growth threat expectation framework. The proposed framework is predicts Throat cancer growths and it is simple to understand and cost sparing. This exploration makes use of statistics mining systems, for example, characterization, grouping and expectation to differentiate potential disease patients. We have proposed this Throat cancer growth expectation framework dependent on records mining techniques. We to start with propose the transitive end based totally requirement spread technique, which makes usage of the transitive conclusion administrator and the fondness engendering to cope with the most important impediment. At that factor, the abnormal subspace based totally semi-supervised clustering form with a lot of proposed certainty elements is meant to deal with the second one constraint and deliver gradually constant, powerful and genuine outcomes. This framework gauges the danger of the Throat ailment in the prior stage. This framework is authorized by using different it is expected results and affected person s ahead healing info. The first purpose of this version is to supply the earlier note to the shoppers and it is moreover fee effective to the customer. At long closing associate degree expectation framework is created to have a glance at chance stages which assist in visualization. This examination enables in vicinity of an man or woman s inclination for malignant increase earlier than going for scientific and lab tests that is price and tedious.

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Rainfall prediction is considered to be one of the important weather forecasting related research since rainfall heavily affects our nature and surroundings. Natural phenomenon such as flood, draught, weather indicators such as relative humidity, etc. are highly affected by rainfall. In the existing system, a hybrid neural network based two-step prediction model is developed. The training phase is developed by using a collection of datasets. Greedy forward selection algorithm is used for feature selection. In the proposed system fuzzy logic method is used. The fuzzy logic Algorithm is an influential algorithm for mining frequent item-sets for Boolean association rules. Rainfall occurrence dataset is collected through global predictions and which can be converted into a readable format through MATLAB commands.

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Productivity and Quality play important role in today’s manufacturing market. In machining operations, for machined products Achieving desired surface quality like surface roughness and flatness, maximum material removal rate and minimum power consumption is really a challenging job on vertical machining center. Due to very exacting and challenging competitive market condition in manufacturing industries. The main objective of any industries reveal with producing better quality product at minimum cost and increase productivity. CNC milling machine can give better quality product with dimensional accuracy and good surface quality with minimum time. To obtain main project an attempt is made to understand the effect of machining parameters such as spindle speed(rpm), feed rate (mm/min),depth of cut (mm) that are influences on responsive output parameters can be measured by using optimization technique. In this work three levels and three parameters are considered; and L27 orthogonal array should be carried out by using two different insert coatings PVD and CVD coated inserts and compare both them. For the experimentation the wet conditions is taken. In this optimization of milling process parameters using Taguchi method in machining of Mild steel IS 2062 is carried out.

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To extract the power from biogas available in Campus after design of crusher and digester plays important role for generation of electricity using waste food. As in the waste food waste is available in different sizes so that is necessary to crush into small particles that will be helpful for bacteria to consume organic matter efficiently. For designing of crusher some calculations are carried out. For digestion process fixed dome type digester is used. There are two methods of digestion process first is aerobic and anaerobic digestion. Anaerobic digestion is more efficient that aerobic. So that anaerobic digestion processes is used. In anaerobic digestion processes the digestion will be takes place in the absence of oxygen. Then this biogas produced is given to generator for electricity generation purpose. After that electricity produced is used in classroom and computer lab in college campus.

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This study mainly focus on characteristic of sand of Sabarmati river. Representative soil samples were collected from the Sabarmati River bed near Gandhinagar area and were investigated as per Indian standard for their index properties with a view to classifying for their use in infrastructural development. Mainly this location is leading sites of sand mining from where the soils are supplied as construction material. Mainly three samples were collected. These samples were classified as per depth at which these samples collected.

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Clean water use being a prime concern in many communities of developing countries. Contaminated water plays significant role in taking numerous lives in these localities, for which a number of efforts are being made for accessing safe purified drinking water. Fortunately, efficient and cheap water purification systems are being utilized and being tried to be accessed worldwide for easy access to clean water. In the following project we had tried to develop a “Low Cost Water Purification Technique” using the basic ideas of Slow Sand Filter, some locally available filter material like charcoal, bone char, sand, manganese modified sand, clay, rice husk, banana residue ash, anthracite and try to improve the methodology using the UV Filter, RO Filter, and Activated Carbon Filter mechanism. Main focus was removal of turbidity from surface water by adsorption and oxidation followed by precipitation technique. Rice husk, which considered a waste, has a high level of silicon. This paper investigates the use of carbonized rice husk and wood charcoal in water purification. The carbonization was done using a handmade carbonizer. The preparation process starts with the production of a precursor that is rich in carbon through the pyrolysis of the rice husk in an inert atmosphere. The results show an important contribution of the use of carbonic materials, by giving a direct evidence of the permanence of sodium ion Na+ in activated carbon. The results also show that the utilization of wood charcoal and rice husks in the purification of water is quick, efficient and economically viable.

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I propose the approach called buffered compares, a less-invasive processing-in-memory solution that can be used with existing processor memory interfaces such as DDR3/4 with minimum changes. The design is based on observation that multibank architecture, a key feature of main memory Dynamic RAM devices, can be used to provide huge internal bandwidth without any modification. i place a small buffer and a simple ALU per bank, define a set of new DRAM commands to fill the buffer and feed the data to the ALU, and return the result for a set of commands (not for each command) to the host memory controller. By exploring the under-utilized internal bandwidth using ‘compare-n-op’ operations, which are frequently used in many applications, i not only reduce the level of energy inefficient processor–memory communication, but also accelerate the computation of big data processing used by utilizing parallelism of the buffered compare blocks in Dynamic RAM banks. i present two versions of buffered compare architecture full scale architecture and reduced architecture in trade of performance and power. The experimental results show that our solution significantly improves the performance and efficiency of the system on the tested tasks.

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This project deals with the design & analysis of the Microcontroller based Smart battery charger specifically designed for multimode operation to ensure no power cut. The main objective of this project is to provide uninterrupted power supply to a load by selecting the power supply from multiple sources such as Mains, Solar Power, Battery Bank and Generator automatically on the basis of their preference. The design and performance analysis of a power factor corrected (PFC), single switch forward buck converter proposes Smart Charger is carried out for low power battery charging applications. The main features of battery charger are low cost, fast charging, high power factor, high efficiency, minimum ripple and high reliability. The concept of this project is the combination of solar power inverter, wireless power transfer concept used for the generation of power and Internet of Things (IoT) based home automation system. The advantage of this project is to provide access to an everlasting and pollution free source of energy. This option is provide to use the system in two possible operating modes; the stand alone mode which is used to satisfy this needs, and the grid connected mode which used to sell electricity to utility when in excess; thus eliminating the need of battery storage.

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In this project, the six jaw chuck is designed and fabricated with provision of replaceable soft jaw. Standard chuck in the market has only hard jaws and soft jaw in two jaw and three jaw chuck type In our project, six jaw self centering chuck uses soft jaws. So, it can hold various type of work piece of different materials.

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A comfortable workplace free from unwanted noise is dream of every industrial worker. In heavy industries workers are continuously exposed to noises the whole work day.Higher noise level in heavy industries is harmful for workers. It causes ill effects like hearing loss, tired, weakness, higher blood pressure on health of industrial workers. Therefore, to improve the environment of the workplace and reduce unwanted noise in industries it is very important to find out effective and harmless noise control methods. The research work was conducted to investigate use of natural materials for industrial noise reduction to give effective solution for existing industrial noise problem .specimens having size of 75 mm (dia.) and 12.5mm, 25mm (thick.) were cast using material via; Salvinia Bagasse, Cement, Adhesive wood grip). Salvinia and Bagasse mixed with cement at ratio 1:0.5:0.5and 1.5:0.5:0.5 with addition of water. Noise reduction coefficients of prepared specimens were calculated by using an experimental set-up. Experimental set-up consisted Noise level meter, function generator, speaker. Noise reduction capacity of materials was calculated by using Noise reduction coefficient (NRC). Effectiveness of natural materials for industrial noise reduction is discussed in this paper.

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Instrumentation amplifiers are important integrated circuits when dealing with low voltage situations. This application note will teach the reader how to design an instrumentation amplifier by discussing important characteristics and by deriving a transfer function. An instrumentation amplifier is an integrated circuit (IC) that is used to amplify a signal. This type of amplifier is in the differential amplifier family because it amplifies the difference between two inputs. The importance of an instrumentation amplifier is that it can reduce unwanted noise that is picked up by the circuit. The ability to reject noise or unwanted signals common to all IC pins is called the common-mode rejection ratio (CMRR). Instrumentation amplifiers are very useful due to their high CMRR. Other characteristics, such as high open loop gain, low DC offset and low drift, make this IC very important in circuit design.

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Data mining is the useful tool to acrooss the knowledge from large data. Different methods & algorithms are accessible in data mining. Classification is most common method used for finding the quarry rule from the large database. decision tree method generally used for the Classification, because it is the simple hierarchical structure for the user understanding Liver disorder diseases one of the main diseases within the world, Liver is one in all the massive solid organ within the physical body and is additionally thought-about a gland because, among its many functions, it makes and secretes bile. The liver coliseum vital role in many physical functions from protein manufacture and blood clotting to fat, sugar and iron metabolism. Liver disorder diseases area unit any bother of liver purpose that reason for illness. The experiment performed by using totally different data mining classification algorithm to get better result compared with the earlier liver diseases prediction study. All experiments are executed within the weak tool. The study of paper to predicting and analyzing liver disorder diseases to produce better performance accuracy by comparing numerous data mining classification algorithm and the performance of the accuracy is measured by confusion matrices.

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In the portal students can do registration with simple registration process after that student build their profile as per academic achievement admin can view the students profile and company profile also. Company also goes to the simple registration process, but company account activation done after the admin approval. Company post their placement openings with special requirements and the students applied directly from their own account. Company can see the applied students list and take them to the hold or reject as per criteria. Company and students have change password facility with the special encryption technique. Company can change their HR. name if there officer is changed. And admin have full facility to manipulate the data, T&P officer can see the statistics related to training and placements.

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The High Strength Self Compacting Concrete comprises of higher level of fines when contrasted with the customary cement. So it has higher danger of spalling when presented to lifted temperatures due its conservative miniaturized scale structure. In this examination the impact of hoisted temperature running from room temperature to 600oC for various lengths on the compressive quality and weight reduction of high quality self-compacting cement of review M70 with Fly fiery remains and Micro Silica as mineral admixtures. The blend extents are gotten based on NAN-SU blend structure. This plan depends on pressing element (PF) of total and W/C proportion and FA/CA utilized are 0.25 and 52/48 for various Packing Factors. The water concrete proportion is considered from writing survey. Pressing variable of total is characterized as the proportion of mass of total of firmly stuffed state in SCC to that of approximately pressed state. Extents of Coarse total, Fine total, Fly Ash, Super plasticizer and water cover proportions are unique and extents of Cement, Micro Silica and VMA are consistent for various Packing Factors. The rates of Micro Silica and VMA included are 7% and 0.3% for all blends. It is seen that the rate of abatement in compressive quality of High Strength Self Compacting Concrete (HSSCC) is increasingly when contrasted with High Strength Vibrated Concrete (HSVC) of same review at higher temperatures, and also rate in loss of weight in HSSCC is progressively when contrasted with HSVC of same review at high temperatures. (i.e.at 600 0C). It is distinguished that, when the temperature is under 2000C the lingering compressive quality and misfortune in weight of HSSCC is less contrasted with HSVC. At the point when the temperature is above 4000C the lingering compressive quality and misfortune in weight of HSVC is less contrasted with HSSCC.

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