Volume 8 | Issue 4 |

 Abstract

The purpose of study was to assess the nutritional status and dietary habits of individuals working in a day shift and night shift in corporate sector working in Mumbai. The study group consisted of subjects were between 20-40 years of age. Sample size included 100 individuals working in shift like day, night, and rotational and dawn in different corporate sectors. The data was collected with the help of a well-structured questionnaire designed which covered aspects: Background data, Data related to dietary assessment, food choices, and anthropometric assessment. Data was analyzed and results showed both groups there was no significant difference in the BMI of individuals working in day shift and other shifts. The data collected from 3-day dietary recall when compared with eating habits, a significant difference in protein intake (p value=.018) as the individuals working in day shift had higher intake of protein whereas other shift worker had intake of low protein. The skipping of meal showed a prominent effect on total daily intake. A significant differences were seen in intake of energy, protein and fat intake as samples skipped one meal per day indicated a lesser calorie, protein and fats intake as compared to those who do not skip meal. Frequent health problem faced by the subjects were headache, stress, acidity and tiredness. In conclusion, significant difference were seen when day shift and other shifts were compared on basis of nutritional status and dietary pattern which can be improved a help proper diet counselling and nutritional education programs.

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 Keywords

Nutritional status, dietary habits, protein intake, shift work.

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 Abstract

Deep Learning is a subfield of machine learning that is based on artificial neural networks that is capable of supervised learning or unsupervised learning from the data that is unstructured or unlabeled. Deep learning is used for processing data and creating patterns that can be used making decisions. The proposed system uses Deep Learning for face recognition and face detection for identifying and verifying the candidate and also for providing analytics to the candidate and exam creator for their assessments.

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 Keywords

Deep Learning, Drag and Drop, Face Recognition, Face Detection, Automatic Assessment

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Speech sign processing is an emerging area to observe the processing of speech signals with digital sign processing generation and phonological understanding. It is one of the core technologies inside the subject of records technological know-how studies. Passing records via voice is the maximum essential, simplest,most typically used and handy trade form of information. The Matlab language is a totally powerful computer software software program for facts evaluation and processing. It can rework sound files into discrete facts documents after which use their powerful matrix computing strength to process records along with digital filtering, Fourier remodel, domain and frequency domain evaluation, sound playback and a variety of pictures. Its sign processing and analysis toolbox for the voice signal evaluation gives a completely rich function, using these features can speedy and without difficulty entire the voice signal processing and analysis, in addition to sign visualization,making human-pc interplay greater convenient. Signal processing is one of the crucial applications of Matlab. This design is geared toward most of the voice processing software content, operation inconvenience and different issues. The use of MATLAB 7.Zero incorporated GUI interface design, a diffusion of characteristic calls to achieve the voice signal frequency, amplitude, fourier remodel and filtering, concise interface, clean to perform. All these have certain practical significance. Finally,this paper places forward his very own perspectives on the further improvement of speech sign processing.

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Audible sound analysis based on state clustering through multiple deep Neural Network Modeling

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Indian Regional Navigation Satellite System (IRNSS) or Navigation with Indian Constellation (NavIC) has been developed and monitored by ISRO, India. IRNSS measurements are being affected by many residuals or biases. Differential Code Bias (DCB), is one of the main error sources to estimate the precise Total Electron Content (TEC) in the ionosphere. Differential delay biases of the dual-frequency band signals in both satellite and receiver are called satellite differential code biases (SDCBs) and receiver differential code biases (RDCBs). In this paper the combined satellite and receiver DCBs are measured. The DCB estimation of IRNSS signals is important for improving IRNSS user positioning accuracy in real-time applications.

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 Keywords

Differential Code Bias (DCB), Total Electron Content (TEC), IRNSS or NavIC.

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The research is an outcome of �A Study on awareness about Government sponsored schemes for MSME among the Entrepreneurs in Surat District�. The main objectives of research are to study the awareness about government sponsored schemes for MSME among the entrepreneurs. And an examine the difference between profile of MSME and awareness about Government sponsored schemes for MSME among the entrepreneurs. The study found that 68.8 per cent of entrepreneurs of MSME are aware of government sponsored schemes for MSME. The present study reveals that nearly 68.8% per cent of MSME perceive that the level of awareness about Government sponsored schemes for MSME is at medium level. There is a significant difference between profile of MSME and awareness about government sponsored schemes for MSME in surat district.

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Awareness, Government sponsored Scheme, MSME.

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The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide `better' input for other automated image processing techniques such as biometric based techniques that include face recognition, fingerprint matching, early detection of biological disorder like cancer etc. Image enhancement techniques can be divided into two broad categories: spatial domain techniques, which operate directly on pixels, and frequency domain techniques, which operate on the Fourier transform of an image. Frequency domain image enhancement techniques are based on modifying the Fourier transform of an image. Smoothing domain filters, sharpening domain filters, Homomorphic filters are few of them which are used for image enhancement. In the present work such filters have been designed and implemented. A comparison has been made over aforesaid frequency domain image enhancement techniques using various filters and their performances have been evaluated in terms of PSNR (peak signal to noise ratio), CNR (contrast to noise ratio), mean, variance and invariant moments. For better visual interpretation of a colour image a special technique colour image enhancement has also been successfully implemented. The results of present research work have been applied to one of the forensic science applications i.e. fingerprint matching. It has been observed that matching accuracy is improved if fingerprint image is enhanced in frequency domain before subjecting it to the matching process.

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 Keywords

Salt & Pepper Noise, Gaussian Noise, Speckle Noise, Mean Filter, Median Filter, Gaussian Filter and Wiener Filter.

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 Abstract

Android based PDS is a novel approach in public distribution system.Manual work based ration card system leads to various problems like corruption, black marketing etc.This drawbacks are overcome by using android based smart ration card system. Main features of this application include online purchasing , exchange button, easy to add/remove members.Android based system we propose in this paper will be more specific, accurate and in whole it increases the security of system. The system of providing basic domestic commodities on subsidy to poor families in developing countries like India is an important aspect to meet fundamental requirement of people. The existing public distribution system in Ration shops requires manual measurement of quantity and maintenance of record of transactions. Many problems are encountered by the existing system such as,1. Ration distribution to unauthenticated card holders. 2. Card holders wasting time in queues for collecting ration for hours. 3. Lots of malpractices such as hoarding, black marketing and overcharging.4. Human intervention in updating transactions and maintenance of records in ledger is difficult.

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PUBLIC DISTRIBUTION SYSTEM

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Chronic diseases such as skin disease, cancer, diabetes, stroke, and arthritis are the leading causes of disability and death in India and throughout the world. As compared to other diseases these diseases having high rate of deaths, so there is need of optimistic solution over chronic diseases. Medical data growth is in healthcare communities, accurate analysis of medical data bene?t early disease detection, patient care and community services. However, the analysis of patients depends on accuracy of diagnosis and then treatment as well. The wrongly diagnosed patients die in chronic type diseases. So in the high risk of mortality there is need of accurate diagnosis aid for chronic diseases. So we are proposing diagnostic system based on machine-learning for providing promising solution with high accuracy.

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 Keywords

Convolutional Neural Network, Computed Tomography, Support Vector Machine.

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The aim of this project is to spot and evaluate the hazards in the construction projects and implement the safety measures and cotrols in order to reduce or completely eliminate them.Therefore lead health and safety of construction working person with maintaining good working environment (HSE). Survey is done to gather a good classify of opinions from competent experts working in a few construction sites for correlation between them. The study of the related literature review paperworks and my own on job experience are the elementary step in obtaining clues regarding safety of construction workers. The my practical knowledge at work site and literature reviews impart me both theoretical as well as factual attainment in regard to safety management. Safety in construction encloses all the forms of safety and measures relevant to all structural actions such as : - on the groundworks above the groundworks and below the ground. The construction works associated may be buildings, bridges, dams, towers, chimneys, and making of Boiler and so many civil and mechanical structures. Safety aspects require in following ways - Before construction b) During construction and c) Afterwards construction works. The hazards involved in the construction processes and their fall- out could be summarized as follows- Those hazards or accidents that can cause instant death ( fatal cases) . Those hazards or accidents which can cause injury or loss of limbs of the employees. Those hazards or accidents that can cause only harm of property like man-hours loss. These three mentioned level of hazards will quick or immediate ill- effects. Another kind is the time dependent effects due to environmental and other pollution effects ( like noise problem, defective light system etc.). An absence of appropriate safety measures to counter or moliffy the hideous effects of this long drawn conditioned ailment can cause severe health problems to the employees and can hurdle the profiency of the workers. Since, The productivity is directly proportional to the safety of the employees,hence safety is an essential condition in the present industrial senario, which we have to strictly implement at work place in effective and efficient manners. Therefore this report is prepared, how to provide a good health to the employees at construction site along with best working premises with their safe behaviour conducts towards safety Management.

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 Keywords

HSE, Hazards Identification and their causes, Risk Analysis, construction works, employees, Accidents and Injuries, Suitable PPEs,etc.

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Abstract: Changes in Physical and chemical reactions such as pH, temperature, EC and chemical properties such as Dissolved Oxygen, Organic matter and Silica provide important information on water quality, source (s) of variations and their effects on activities and biodiversity of water. In the present study, the physico-chemical parameters of mangrove water samples and seawater were compared to provide basic information on the chemical characteristics of physico in this study area. The result shows that there is very little impact on water quality pollution and this study can be used to look at Mangrove water quality and seawater quality to maintain aquatic ecosystems and resources. Reconstruction of the physicochemical properties of mangrove water and seawater in cover areas is needed as a future work.

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 Keywords

Index Terms - Physicochemical parameters, mangrove water, seawater, basic information, minor pollution

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Creative Commons Attribution 4.0 and The Open Definition