Volume 6 | Issue 2 |

 Abstract

Electricity has become a key role in mankind. So, it is necessary to provide electricity to all the individual. Because of energy crisis demand, the usage of renewable energy has become a best method for the electricity generation. This paper presents the designing of Solar stand-alone roof top for household applications. And also the design of a 5.8MW grid connected system is shown. The method involves the simple calculation of the load. The solar energy is extracted using the photovoltaic cells which produce direct current when it is connected to the grid. The entire system consists of battery, grid tie inverter, power conditioning unit, charge controller etc. The different solar photovoltaic technologies are also discussed. The factors affecting the solar power are also seen in the paper.

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Photovoltaic , power conditioning unit, Current controllers

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Abstract: The Amhara regional state is highly affected by land degradation due to soil erosion, as such to alleviate the severity of the problem, SWC practices were introduced in different parts of the region including the study area. Even though these were implemented through wide coverage to conserve soil and water resources for improving the livelihood of rural people, the sustainability of these practices remained below expectation. The present study was conducted in Gubalafto district of Amhara region, Ethiopia; with focus to investigate the constraints in attaining intended objectives. Questionnaire survey, interview, field observation, focus group discussion were applied to collect the necessary data. The primary data was gathered from 154Nos of participants in total and the secondary data obtained from the concerned offices was also utilized. The results showed that 77.8% of respondents were in an opinion that there was the SWC practices in the study area did not yield the expected outcomes. Single factor ANOVA indicated that there were no statistical significant differences among the three agro ecological zones of the study district on the level sustainability of SWC practices. However substantial changes were noticed based on land ownership. The investigation facts indicated that, low level of awareness and misperception of farmers, low level of stakeholder participation, top down approach of government and extensive farming systems were contributing much and are responsible for the existing conditions. Hence there is a need to address these challenges for attaining successful results from the implemented SWC practices.

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Challenges, Sustainability, Soil and Water Conservation Practices

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Forests play an important role in influencing the climate of the district and also the quality of life of the dwellers along the forest fringes.. Concentration of forests in the district of Dakshin Dinajpur of West Bengal is mostly along the eastern and southern borders which the district shares with Bangladesh. The total forest cover of the district is 0.93 thousand hectare. A wide range of flora including herbs, shrubs and trees belonging to Liliopsida and Mangnoliopsida has been detected, collected and recorded for the biodiversity form the study area. As many as 9 families of Liliopsida and 29 families of Magnoliopsida has been observed in the forests of Danga, Sarongbari, Kashiabari, Dogachhi from 2012 to 2015. The major ethnic groups include Santhals ( Murmu, Tudu, Baskey, Kisku, Hembram etc.), Oraon ( Kechhe, Kerketta, Bandra, Minji etc.) and Munda (Barla, Soren, Pahan, Murani, Topno etc.), whereas, Schedule caste category is dominated by Rajbanshis. The questioners were made to know about their livelihood and other socioeconomic aspects. Their livelihood mainly depends on the edible resources from the forest, Minor forest produce and Non timber products of forest patches.

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Forest, Schedule caste, Schedule tribe, Livelihood

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This paper proposes an alternative design of magnetic encoder for analog angle measurement based on Radial Basis Function (RBF) neural network. In order to realize analog angle output, multiple linear Hall-effect sensors and a cylindrical magnet are used. RBF neural network is used to approximate the multi-dimensional nonlinear function between the vector of sensor values and the angle output. For successful approximation of the function between inputs and output, the parameters of the RBF network needs to be determined by training. Training data consisting of vector of sensor values and the corresponding angle value at various angular positions of the rotatory shaft needs to provided as input to the RBF neural network trainer. The RBF neural network with trained parameters can be used to output the angle value for the given sensor values as input. The trained RBF neural network operation is implemented using 8-bit microcontroller. With this design and implementation, the angle value at various positions of the rotatory shaft is obtained with sufficient level of accuracy. This design of the magnetic encoder also allows some flexibility in terms of placement of the sensors and magnet.

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Rotary encoder, magnetic encoder, multisensor data fusion, Hall effect sensor, ANN, RBF neural networks, analog angular measurement.

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Smoothie was prepared using pineapple, banana, toned milk and spirulina. Pineapple and banana are rich sources of various nutrients including dietary fiber, vitamins and minerals. Spirulina is a micro algae consumed for its nutritive value and various health benefits. It is a rich source of proteins, vitamins and minerals. The smoothie prepared was evaluated for its sensory characteristics and analyzed for pH, total solids, sugar and protein contents. Spirulina was incorporated at levels of 0.5, 1.0 and 2.0 per cent in the formulation. Sample prepared using 0.5 % spirulina was found to be more acceptable. A marginal increase in the protein content was observed in the spirulina incorporated sample compared to the control. The intense flavor of spirulina resulted in the product being less acceptable when incorporated at higher levels.

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smoothie, spirulina

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The depleting of fossil fuels has simulated the worldwide search for the alternate fuels. As our country is an agricultural based one and large amount of land is available, production of Pongamia biodiesel will be more advantageous for our farmers. The Pongamia biodiesel is a perfect replacement to diesel because this is derived from indigenous sources and is renewable. But due to its high viscosity and lower calorific value it cannot be directly used in the diesel engine without major modifications to the engine. Hence in the present work it is planned accordingly to use the combination of diesel and biodiesel in the ratio of 80% diesel and 20% Pongamia (B20). The combustion of the engine depends on the flow capability of the fuel. With the higher viscosity, Pongamia oil fluidity will be less and this can be improved with the addition of nano additives. Further the investigation is planned to study the effect of Aluminum Oxide Nano particles as additive on the performance and emission characteristics of Pongamia biodiesel blend (B20). It is blended with Aluminum Oxide Nano particle in mass fraction of 50 ppm, 100 ppm and 150 ppm. The whole investigation is carried out in a constant speed vertical cylinder water cooled DI Diesel Engine. The performance parameters are analyzed and the results are presented. Aluminum oxide nano particles act as an oxygen buffer which improves the combustion results in increase the Brake thermal efficiency and reduction in the Exhaust emissions.

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Aluminum oxide, Pongamia Biodiesel blend, Nano additives.

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15 loksabha me mahilayo ka yogdan

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15 loksabha me mahilayo ka yogdan

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Abstract: BACKGROUND: Hemoglobinopathy is group of diseases characterize by abnormality all quantitative and qualitative through synthesis of hemoglobin. Hemoglobinopathies consist of sickle cell anaemia (SCA), Beta-thalassaemia Trait (BTT). In the world, they are responsible for the largest number of genetic disorders and hence are of great public health hazardous. In Yemen & India major concerned haemoglobinopathy disorders are sickle cell anaemia and ?-thalassaemia. Examination of 100 individuals showed high incidences for hemoglobin variants, HbS and Hb?T in different ethnic groups, the frequency being varies from 0% - 3% and 0% - 3% respectively. OBJECTIVE: To detection the prevalence of different hemoglobinopathies particularly beta-thalassemia trait (BTT) and sickle cell trait (SCT) and find out the incidence of anemia in them. MATERIAL AND METHODS: The present study screened 100 samples of students from Shree P.M. College of Paramedical Science and Technology Anand-Gujarat. Blood samples were initially tested by using an Automated Cell Counter (CBC), Peripheral Smear (Field Stain), Solubility Test. Samples having abnormal of morphology and MCV (?78), MCH (?28) and/or positive solubility test were comforted by Hb electrophoresis on cellulose acetate membrane(pH 8.6). Hb A2 level ?3.5% was considered as diagnostic for BTT and present HbS was considered as diagnostic for SCT. RESULT: Overall prevalence of BTT and SCT in Anand-Gujarat was 3% and 3% respectively. CONCLUSION: Study suggests that BTT and SCT is the most prevalent haemoglobinopathy in Gujarat therefore we have to do screening before marriage.

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Keywords: Hemoglobinopathy, Prevalence of Sickle Cell Trait, Thalassemia Trait, Hemoglobin Electrophoresis, Postgraduate of Sardar Patel University-Anand-Gujarat-India.

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FINANCIAL PERFORMANCE ANALYSIS OF TVS MOTOR COMPANY LIMITED

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In medical field we have very large database with different kinds of data stored in it. It is very difficult for us to manage, analyze and handle those data manually. Data Mining is helpful for analyzing, extracting and summarizing useful information from these large dataset. Cancer is the deadly disease that results due to the uncontrolled growth of abnormal cells. There are over 200 types of cancer. This paper deals with various Data mining techniques that can be applied for predicting breast cancer. Various algorithms are available in data mining that help us in developing new concept that can boost us to find models for prediction breast disease accurately. In this paper, an analysis of various data mining classification techniques which is used for predicting breast cancer and analysis of the prediction of survival rate of breast cancer is done.

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