The objective of this paper is to introduce, explain and compare the performance of single-labeled supervised learning algorithms in R language on benchmark single labeled data sets. Data is rich with hidden information that can be used for intelligent decision making. Classification is a form of data analysis that extracts models describing important data classes, the traditional classification algorithms like decision tree, random forest, support vector machine, naive-bayes are used under inspection. We have considered four measures (sensitivity, specificity, accuracy, F-measure) of performance here, the observations of all data set accuracy lead to infer that Random Forest outperforms the other classification methods. For more justification of our result we have implemented the same algorithms with same data sets in weka tool also.

Disease diagnosis is very important for saving patient life. There are some diseases which are chronic for example today’s major and serious health problem is diabetes. This is known as modern society disease. Even though huge medical data is available absences of disease diagnosis keep a expert to opine about the grade of disease with confidence. Medical professionals need a prediction method to diagnose diabetes. In this situation Data Mining techniques are very useful for classification, prognosis and diagnosis of a disease. Early detection of diabetes in a patients help them for prevention of the disease to some extent. This papers gives a summary of old and recent techniques used for classification, prognosis and diagnosis of diabetes.

This paper presents a technique to acknowledge 32 American Sign Language distinctive letters and numbers from image signs, independence of signer and environment of image capture. Input pictures are mapped to the YCbCr color space, binarized and resized to 70×70 px. Principal Component Analysis is then performed on these binary images exploitation their pixels as features. This technique recognized signer-dependent signs with an accuracy of 100% and signer-independent signs with an accuracy of 62.37%, that will increase to 78.49% if dissimilar signs only used.

Snow carries the imperative role in the matter of aquatic, animal and human life in complete etiquette of climate circumstances and also considered to be one of the most natural climatic wonders whose nowcasting is arduous and challenging. In the mountainous areas, snow has a resilient impact on traffic, sewer systems. On the other hand, the snow hydrological cycle is one of the most amalgamated and challenging elements to distinguish and to model. This survey paper provides a diverse assortment of approaches which are epitomized by various academicians, researchers, scientists and meteorological departments in nowcasting snow. Hence the upshot of this paper is to show the available techniques and therefore comparison table exposes the accuracy and future scope of an individual methods used for nowcasting snowfall.

This paper briefs the application of plasma technology in treating the waste generated in petrochemical industries. Various possible waste products were identified, and discussion is made on how the technology can be used for treating them.

This paper describes the design of a 6 element Yagi Uda antenna for VHF band applications. It consists of a dipole, reflector and four directors. The design frequency (165 MHz) is chosen at the middle of the VHF band (30 to 300 MHz). Increasing the height of the reflector significant improvement in gain and directivity is achieved. The antenna is designed and simulated in CST microwave studio.

Global energy requirement is increasing exponentially. This amplify in demand causes fear pertaining to the international energy crisis and allied green pressure. The key of these issues is seen in renewable power sources. Solar energy is measured single of the main sources of renewable power, obtainable in great quantity and also without charge of price. Solar photovoltaic (PV) cells are damaged to change solar power into tolerant electrical power. These solar PV cells show nonlinear quality and offer very short competence. consequently, it becomes important to take out upper limit power starting solar PV cells by means of maximum power point tracking (MPPT). Perturb and observe (P&O) is one of such MPPT schemes. The behaviour of MPPT schemes under continually changing atmospheric conditions is critical. It leads to two conditions, i.e., rapid change in solar irradiation and partial shading due to clouds, etc. Also, the behaviour of MPPT schemes under changed load condition becomes significant to analyze. This article aims to address the issue of the conventional P&O MPPT scheme under increase solar irradiation condition and its behaviour under changed load condition. The modified MPPT scheme is implemented in the control circuit of a DC–DC converter. The simulation study is done using MATLAB/ simulation. The results of the MPPT scheme are compared with existing schemes. The modified MPPT scheme works fast and gives improved results under change of solar irradiation. Furthermore, the steady state oscillations are also reduced.

In today’s world of advanced technologies, the MSME industries are facing serious grave problems related to analytics. These industries generate enceinte volumes of data on a periodical basis that can help them to understand their business insights. On account of deficiency of capital support these manufactures cannot get approach to visualization tools such as Tableau, Power BI, etc. This paper confronts a very simple, cheap and holistic approach for such industries which can use the power of their operational databases and can draw rich and valuable insights from it. This will ultimately help these firms to gather key factors needed for their growth

The waste leaves and grass are available in large volumes. They can be processed and produced in the shape of pellets which can be used as domestic fuel and domestic products. This will also help in conserving energy, saving forest trees from felling and keeping the environment clean. This project is about processing of raw material and production of pellets using Pellet machine. The dry leaves fallen from tree and dry grass is collected and ground in a grinder and is converted into a thick powder form. This powder is then mixed with the starchs in a mixer. These agents can be any liquid (starch) obtained during boiling of rice. After mixing the powder and starch, the mixture is converted in the form of pellets with the help of pellet machine. For this purpose a machine has been designed and used.

Alumina is a ceramic material having high melting temperatures, good mechanical properties and it is used for various applications such as furnace components, electronics substrates, cutting tools, abrasion and corrosion resistant applications. The primary objective of this study is to determine the sintering conditions required for densification of alumina powder to its near theoretical density. The effect of sintering temperature on the sintered density was studied in this paper. The effect of sintering time on densification was also studied by varying the sintering (soaking) time and found that the densification increases with increase in sintering time. Even though density increased with soaking time full densification was not achieved even at 14 hrs of sintering. For keeping sintering time within a reasonable limit, alumina samples were sintered with 1 % of Magnesium Oxide (MgO) by weight. The soaking time required for densification of alumina powder with MgO additive to its near theoretical value was determined. Microstructures of the sintered samples were developed and the hardness of the sintered product was evaluated .This study has shown that the MgO is an effective sintering aid for sintering alumina.

Glass Fibre Reinforced Plastic (GRP) moulding is a relatively new technology developed in recent years Tooling for fabrication of GRP components calls for a critical examination of the process, design and problems. This article presents the problems encountered and remedial measures suggested during the production of GRP (glass filled phenol formal dehyde) components. The requirement of high surface finish, homogeneous structures, high strength and close dimensional control was achieved by extensive experimentation. This study also presents the control of critical parameters such as temperature, pressure, curing time, charge pattern etc.

This paper is about the applicability of water plasma arc welding for the mild steel pieces and how the process will take place. This is done with an intension of knowing the parameters and how they will influence the rate and mechanism o welding especially if it compared with the conventional welding processes. There should be some specific reason for an action in the universe as like the usage of plasma arc welding too. This is been discovered for the making of intricate hole and in the high precise applications such as aerospace industry. With reference to that as the plasma arc welding can make to such an extent produce the high precise holes. Why can’t it will produce the high strength welding and defects free welding. This is intension for this research and this is what exactly been carried out for by making the water plasma arc welding for the mild steel pieces of three sizes. While performing welding, the process parameters and decision variables were emphasized bt recording the data, analyzing that and summarizing at the end finalizing them. After that the Non destructive and destructive testing’s carried out for knowing the soundness of the weld.

This work is about the study and analysis of the plasma arc machine for its applicability and adaptability for cutting of mild steel and stainless steel plates of various thicknesses. For making of this work plasma arc machine of prescribed features have been selected and in addition mild steel pieces of size 150mm x150mm x 5mm and 150mm x150mm x10mm and 150mm x 150mm x 15mm were taken. And stainless steel of 50mm x 150mm x 5mm taken. At first the machine is conditioned for cutting process by suitable means of fluids and parts. For this work Distilled water and acetone were chosen by 50:50 (v/v) and fed to the cutting torch. Actually methanol has to be used for this purpose however because of non availability and non affordability a similar kind of liquid acetone is used. Next the M.S. and S.S. plates are cleaned enough to making cutting. As the power input and output must be same based on this the voltage, current and resistance within the system are calculated after the initiation of cutting. In addition to this the angle of torch, direction of cutting, shielding gas flow rate, time for setting, holding, cutting, length of cut against time all these are recorded. By applying suitable means of formulae analysis is done. At the end the material removal rate, time took for cut, angle of torch, voltage used, current consumed, resistance and hardness at various locations, roughness of cut were calculated for the purpose of further investigation and optimization of parameters. At the same time the variations that observed in the work piece were found such its change in hardness. As plasma arc is mainly intended for making intricate holes but the present work is emphasized on cutting using the plasma arc process. So by default is adaptability has to be justified. This work has made an arena by plotting control charts. At the end the results and further scope discussed.

A novel procedure is actualized for the street light monitoring based autonomous and practical framework. The principle point of this venture is to reduce power consumption. The goal is to plan a device which characterizes a protocol to save more power compared to conventional systems. Here we are using ARM7 controller, ARM7 utilizes less power compared to existing controller. The proposed system uses the IOT based wireless devices which allow more efficient lamps management. The designed system uses sensors to control and guarantee the optimal system parameters The proposed system saves around 80.8% power for the outdoor street environment because of using sensors, LED lamps, IOT based communication technology.