Volume 6 | Issue 2 |

 Abstract

Face Recognition is one of the key areas under research. It has number of applications and uses. Many methods and algorithms are put forward like, 3D facial recognition etc. Face recognition comes under Biometric identification like iris, retina, fingerprints etc. The features of the face are called biometric identifiers.

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Person Recognition

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The skyline operator has attracted considerable attention recently due to its broad applications. However, computing a skyline is challenging today since we have to deal with big data. For data-intensive applications, the MapReduce framework has been widely used recently. In this paper, we propose the efficient parallel algorithm SKY-MR+ for processing skyline queries using MapReduce. We first build a quadtree-based histogram for space partitioning by deciding whether to split each leaf node judiciously based on the benefit of splitting in terms of the estimated execution time. In addition, we apply the dominance power filtering method toeffectively prune non-skyline points in advance. We next partition data based on the regions divided by the quadtree and compute candidate skyline points for each partition using MapReduce. Finally, we check whether each skyline candidate point is actually a skyline point in every partition using MapReduce. We also develop the workload balancing methods to make the estimated execution times of all available machines to be similar.

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Key words: Data Mining MapReduce Prediction SKY-MR

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Employment, NIRD, Industrial Sector, Literacy rate.

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 Abstract

svatantrata ka arth evan maanav jeevan mein mahatv

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svatantrata ka arth evan maanav jeevan mein mahatv

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An industrial problem was taken under the present work to show the process variation control by implementing six sigma in punching process. The lot of stainless steel punched washer was rejected by customer who was maintaining six sigma quality level in their manufacturing. Although all the part in the lot were within the given tolerance limits but on the variation of dimensions within the tolerance zone was too high and it was not confirming to Six-Sigma distribution. The work reported in the paper present the method to find the factors that are influencing the manufacturing process variation of steel washer. There were five different thickness stainless steel washers taken under consideration for controlling process variation. Six-sigma DMAIC technique was used to identify the factors influencing the process variation, and to control the same. Outside diameter of the punch (O.D) and the sheet thickness, were found to be the two main parameters influencing the process variation; a relationship between them has been established to control the variation and location of the mean. The capability index (Cpk) and capability ratio (Cp) of the process was in between 1.13 to 1.21 and 1.20 to 1.44 respectively after implementation of the result of this work the Cp=2.19 and Cpk =1.91 was achieved.

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DMAIC, capability index (Cpk), capability ratio (Cp), six sigma

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Article 356 has always been the focal point of a wider debate of the federal structure of government in Indian polity. Article 356 is one among the nine Articles, beginning from Art. 352 and ending with Art. 360, known as Emergency Provisions, enumerated in Chapter XVIII of the Constitution of India. During a state of emergency, the President is vested with tremendous discretionary powers. In spite of the precautions laid down in Article 356, the Article was invoked on several occasions by the Center due to ambiguities in its wording. It was only in 1987 when the Sarkaria Commission submitted its report that part of the obscurity surrounding Article 356 was cleared. Further it is only after the landmark judgement in 1994 in the S. R. Bommai v. Union of India case that the misuse of Article 356 was curtailed. In this case, the Supreme Court established strict guidelines for imposing President's rule. After the Supreme Court's judgment in the S.R. Bommai case, it is well settled that Article 356 is an extreme power and is to be used as a last resort in cases where it is manifest that there is an impasse and the constitutional machinery in a State has collapsed. Hence since the early 2000, the number of cases of imposition of President's rule has come down drastically.

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This paper presents a kinematic analysis pertains to low Reynolds number linear motion airfoil using XFOIL. Low Reynolds number (104 to 106) airfoil found extensive use in the field of RPVs, MAVs and UAVs now a days. In a view same can be used to generate electricity for low wind speed conditions in urban areas. It is very well known that aerodynamics performance of any airfoil is of prime importance in aviation and turbo machinery. Higher lift or lift to drag ratio for varying angle of attack and Reynolds number is of interest. An analysis here is carried out for different combination of Reynolds number, Angle of attack and free stream velocity. It is also proved that for lift type machines section with higher lift is considered to be most efficient for any combination of flow and control variables. The aim of present work is to gather information regarding behavior of low Reynolds number airfoil S1223 for linear motion to suit power generation application with available polar data using XFOIL. From graph and analysis it can be seen that a limited lift is produced enough to drive smaller units with specific angle of attack and Reynolds number combination. However more external devices can be added or flow control methods can be employed to achieve higher airfoil efficiency with a consortium of such portable. It is intended to provide useful knowledge for future studies.

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linear motion, XFOIL, Low Reynolds number Airfoil, S1223

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Groundwater is a very important natural resource for the reliable and economic provision of potable water supply in an urban environment. Uncontrolled urbanization and the growing population pressure are essential challenges for the water management in urbanized regions. Urbanized area undergoes groundwater recharge along with the introduction of the new sources discharging often resulting groundwater contamination and fluctuations in groundwater levels. The objectives of the study is to determine impact of urbanization on groundwater quality in Pre monsoon and Post Monsoon seasons to enable suggest better management practice for sustainable use of groundwater. The city marked between 17o42' North latitude and 82o02' East range near Visakhapatnam District of Andhra Pradesh. . Groundwater samples were collected in polyethylene bottles without preservation the samples were collected from boreholes in the study area from both pre and post monsoon. Water samples were collected from fourteen boreholes and analyzed in the laboratory to determine the concentration of some physico-chemical parameters includes pH ,Temperature, Electrical Conductivity, Chlorides, Alkalinity , Total Dissolved Solids, Total Hardness, Calcium Hardness, Magnesium Hardness, Sodium , Potassium, Sulphates, Phosphates, Nitrates, Iron, Bicarbonates, Chromium, Copper, Zinc, Lead, Manganese, Cobalt by using standard methods. As per discussions it was found a considerably worse WQI through the post-monsoon season representing a insufficient quality of the groundwater. In all sampling stations, in pre monsoon water quality index is very poor condition. In post monsoon U- 12 station was in good condition. Due to piper diagrams , the appreciable change in the hydro-chemical facies was noticed during the study period (pre and post monsoon), which was might be due to the percolating of alkali salts through precipitation, dissolution of the minerals are the major processes occurring. This is concluded that urbanization effect of the ground water quality is effected due to various anthropogenic activities such as man-made sources such as landfill , leakage from sewage, feedlots, fossil-fuel combustion, cement-plant emissions, leachate, mineral leaching, waste incineration, metal plating etc.

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Ground water, Water quality Index , Urbanization, Piper Diagram, Dissolution

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COLOUR ORIENTED, MULTIPLICATION OF INTEGERS, VISUAL.

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Internationally, Micro, small and medium enterprises (MSMEs) played an important role in the economic development in a country. MSMEs sector is one of the biggest contributors to GDP, employment generation and supply chain of large business. The purpose of this paper is to find out the dependent and independent variables which are influencing the performance of Micro, Small and Medium Enterprises (MSMEs) in the state Odisha. The data has been collected from secondary source Govt. of Odisha, Ministry of Micro, Small and Medium Enterprises (MSMEs).The study is based on quantitative method. In this paper multiple regression analysis has been used as the major Statistical tools to compare the performance of MSMEs sector during study period. Therefore, analysis was conducted to identify the factors constraining the growth and survival of MSMEs in the state Odisha. The dependent variable is MSMEs units and independent variables are capital investment and no. of employees. The result shows that capital investment is more influencing to MSMEs units than number of employee. This research is original and highly value to a wide range of readers. Individuals, community, organization and society are interested to understand the status of MSME in the state Odisha.

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 Keywords

of MSME, influencing factors of MSMEs, Multiple Regression, state Odisha, SPSS.

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