Volume 6 | Issue 2

 Abstract

Manual work is taken over the robot technology and many of the related robot appliances are being used extensively also. Here represents the technology that proposed the working of robot for Floor cleaning. This floor cleaner robot can work in Manual mode. All hardware and software operations are controlled by Remote. This Machine can perform sweeping, mopping and drying task. Wired remote have been used for communication between remote and machine. This robot is incorporated with air blower and automatic water sprayer pump. Three motors are used, one for cleaning, two for wheels. Switches are used to drive the motors one for water pump and another for cleaner. In previous work, there was no automatic water sprayer used and works only in manual mode. In the automatic mode robot control all the operations itself and change the lane in case of hurdle detection and moves back. The moving circuitry is connected with a dc supply through a cleaning motor is supplied by a 12 V battery.

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 Keywords

Microcontroller, Bluetooth Module, D C Motor, Robotic Wheels, Air Blower, Mopping Cloth, Wooden Base, A C Adopter, Smartphone.

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 Abstract

Adolescence is a significant period for physical growth and sexual maturation. Nutrition being an important determinant of physical growth of adolescents is an important area that needs attention. Growth retardation is one of the most important health concerns for adolescents and their parents. Adolescents need diets of higher quality and greater quantity, compared with children or adults. A large body of research has revealed that nutrition and physical activity influence brain functioning at various stages of the life course. In the present study adolescents were interviewed with the help of pre-tested questionnaire assessing food frequency, dietary patterns and physical activities. . Results showed that the dietary and exercise habits of adolescents were sub-optimal. Many adolescents fail to meet multiple diet and physical activity recommendations, however boys were more active than girls. Adolescents had a very low intake of fruits and vegetables. About 41.2 % adolescents used to skip their breakfast. Among 800 adolescents, about 47.5 % respondents were taking food supplements. For adolescents with two risk behaviours, the most prevalent cluster was formed by not meeting the physical activity and dietary recommendations. Limitations are noted and suggestions for future research are outlined.

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 Keywords

Physical Activity, Dietary Behaviour, diet, exercise, adolescent

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 Abstract

In This paper, propose a high reliability single phase transformer less grid connected PV Inverter that exploit MOSFETs super junction to attain high frequency, efficiency to application of PV to proposed inverter current fed topology ac-coupled inductor to that operate separately for positive and negative half cycles. to increase the quality of efficiency grid zero crossing instant improving the ac-current quality. even light load operation to achieve high efficiency MOSFET super junction are utilized. The higher operating system cost will reduce. A dual inductor clamped circuit can minimize the system high frequency ac-side switches conducting the current during the current fed topology freewheeling diode this reduce the total cost of the power ground loop leakage the total losses evaluated by conducting several exiting transformer less inverter. efficiencies with an 8-kW converter system from the product datasheet is 98.3% and 98%, respectively, with 345-V dc input voltage and a 16-kHz switching frequency. the simulation part of the experiment has been exclusively in the paper so par utilize MATLAB/PSIM 9.0 the simulation work disposed with this part of the work.

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 Keywords

Super junction MOSFET, inverter, dual inductor, clamped , freewheeling diode

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

PV cell; DC-DC Converter; Current-fed; Soft Switching

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 Abstract

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 Keywords

Ranking, Keyword Matching, Weighatage Evaluation

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 Abstract

Study on Intra – puparial development of Latrine fly Chrysomya megacephala (Fabricius) (Diptera, Calliphoridae)

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Intra-puparial development, Cryptocephalic pupa, Phenerocephalic pupa, Pharate adult, Chrysomya megacephala (Fabricius).

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 Abstract

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GSM modem, Real Time Bus Position, Time Monitoring System.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Access control, big data, cloud computing, data de-duplication, proxy re encryption

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Medical tourism, Medical tourist, Health care service providers, treatment and other facilities, demographic characteristics

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 Abstract

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Cost Overrun, Time Overrun, Causes, Effects, Gujarat

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The aim of this system is to design, implement and evaluate an android based image processing solution for detection and classification of plant leaf disease and suggestion to prevent from the same. We present more precise, fast and accurate image processing based solution which can be operated on any android smart phone. This solution is composed of following main stages. First the digital images are acquired from the field or environment using smart phone camera or other digital camera. Image preprocessing technique noise is removed by filtering technique. Next, in the second phase, the images are segmented using block segmentation. Next the histogram is generated for the input image. Finally; the extracted features are passed through a series of comparison using distance measures to detect disease in plant leaf

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 Keywords

Leaf , Disease, plant, Digital Smart phone Camera, Image.

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 Abstract

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women during low threshold

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 Abstract

FSO is a communication system where free space acts as medium between transceivers and they should be in LOS for successful transmission of optical signal. Medium can be air, outer space, or vacuum. This system can be used for communication purpose in hours and in lesser economy. There are many advantages of FSO like high bandwidth and no spectrum license. The transmission in FSO is dependent on the medium. The presence of foreign elements like rain, fog, and haze, physical obstruction, scattering, and atmospheric turbulence are some of these factors. Different studies on weather conditions and techniques employed to mitigate their effect are discussed in this paper.

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 Keywords

Atmospheric, FSO, WDM

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Search engine are used to search different kind of information from internet. For searching academic and scienti?c paper, CiteseerX search engines are used.CiteseerX search engine provide free access to the document in the internet. These search engine does not provide platform for searching document element such as Algorithm, Tables, Images, Acknowledgements, Collaborators, Mathematical expressions etc. Hence it requires special purpose search engine to extract document elements from articles. The limitation of the existing search engine is a challenging task. This paper present a survey of different search engines, various methods for discovering algorithms and different ranking approach for search engines.

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 Keywords

Algorithm, Psuedocode, Rule Based method, Machine learning method, Ranking scheme.

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Keywords: Red soil, Prosopis juliflora ash, Groundnut shell ash, coconut fiber ash

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 Abstract

Brain tumor breaking down into parts try to separate the different tumor tissues such as active prison rooms, necrotic middle part, heart, and edema from normal brain tissues of White material or substance (WM), gray material or substance (GM), and cerebrospinal fluid (CSF). MRI based brain tumor breaking down into parts studies are pulling to self more and more attention in near in time years because of, in relation to non-invasive imaging and good soft tissue in comparison of Magnetic resonance imaging (MRI) images. With the development of almost tens of years, the tending to new views sending in name for computer-aided techniques for segmenting brain tumor are becoming more and more get older and coming closer to regularly order clinical applications. Early diagnosis of brain tumors plays an important part in getting well treatment possible states and increases the selection of the strongest rate of the persons getting care. Manual breaking down into parts of the brain tumors for cancer diagnosis , from greatly sized amount of MRI images produced in clinical regularly order, is a hard and time getting used up work. There is a need for automatic brain tumor image breaking down into parts. This paper try to give an over-view of current deep learning-based breaking down into parts views for (able to be) measured brain MRI. First we paper the current deep learning buildings and structure design used for breaking down into parts of as in bodily structure relations brain structures and brain wound. next, the performance, speed, and properties of deep learning moves near are made a short account of and had a discussion about. at last, we give a critical Assessment of the current state and make out likely future developments and trends.

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 Keywords

MRI, Deep Learning, Brain Tumor Segmentation

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failure mode effective analysis has been used as qualitative measures for identifying failure modes and cause. In order to mitigate the effects of failure in different parts of the wind turbine. With the help of failure mode effective analysis improvement in the reliability and reduces the breakdown in the wind turbine and resulting the optimum efficiency at optimum cost. A failure modes and effects analysis is a procedure in product development and operations management for analysis of potential failure modes within a system for classification by the severity and likelihood of the failures. A successful FMEA activity helps a team to identify potential failure modes based on past experience with similar products or processes, enabling the team to design those failures out of the system with the minimum of effort and resource expenditure, thereby reducing development time and costs. It is widely used in manufacturing industries in various phases of the product life cycle and is now increasingly finding use in the service industry. Failure modes are any errors or defects in a process, design, or item, especially those that affect the customer, and can be potential or actual. Effects analysis refers to studying the consequences of those failures.

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 Keywords

FMEA, RPN, Severity

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In Research field is mainly challenge in digital image processing to remove noise from the original image. Image denoising is the manipulation of the image data to produce a visually high quality image In this paper, some important denoising techniques are discussed and classification of such techniques is listed.In this denoising algorithm various algorithm are produce the assumptions, advantages, applications and limitations. The denoising procedure which can be applied for the various types of noises. There are different types of filters like mean filter, median filter, bilateral filter, wiener filter etc. It is used to remove a tiny particles of noise such as salt and pepper noise, speckle noise, Gaussian noise , Rayleigh noise etc. But if the image is corrupted by mixed noise then these filters do not remove the noise exactly. But Image denoising promises good image outputs.

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 Keywords

Filters, Denoising algorithm, high quality image.

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English language teaching is very important because of the global status of English. English language teaching is a process that requires great efforts on the part of all the participants. Classroom interaction, activities, textbooks are the most important elements of teaching process for the aims and objectives of a course. In view of the importance of English as a foreign language in India, the researcher has examined the existing textbooks and system of teaching English in order to point out the shortcomings which have been hindering the Indiai students from mastering the English language. The problem can be solved by using new textbooks. The teachers of English should also be equipped with an up-to-date knowledge of English Language Teaching (ELT).

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 Keywords

Activities, Important, Language, Researcher, Teaching

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 Abstract

Osteoporosis, decreasing bone density is a serious disease and its early diagnosis is very important at the right time. The conventionally available method for the assessment of bone mineral density and its related disease is through DEXA SCAN and cost of this machine is more for every scan, which is not affordable for all people. Here, proposed an inexpensive technique, which diagnoses osteoporosis using ADXL335 vibration sensor on tibia bone and gives frequency response in virtual instrumentation LabVIEW.

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 Keywords

Bone Mineral Density(BMD), Osteoporosis, FFT, Natural Frequency

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