Volume 6 | Issue 2 |

 Abstract

There are several reasons to opt for PATANJALI products available in the market. The study analyses the level of satisfaction, awareness of the product. It also reveals the factors influencing the buying behaviour of the customers.

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 Keywords

PATANJALI, Herbal, Price, Ayurvedic.

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 Abstract

Identification of Limiting factors of Customer Complaint Redressal System of Banks: A Study of Banks of Punjab from Bankers’ Perspective

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Identification of Limiting factors of Customer Complaint Redressal System of Banks: A Study of Banks of Punjab from Bankers’ Perspective

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This work presents a method for automation of the CI/CD Regression failure analysis using Tensor flow text classification deep learning model. Regression failure stands for the recent code change has affected the previously existing features or failed when it is committed to a new environment. The aim of this proposed method is to automate the manual stuff done and to find the actual cause for the failure. we built the dataset required to train the model which is in JSON format where the key(category) represents the root cause of failure and the values represent the failures. We carried out preprocessing of data using several NLP techniques. The operations involve stemming, tokenizing, removing punctuations and transformed the unstructured raw data into a standard format and applied the bag of words model to convert the sentences into the numeric binary array because tensor flow being a math library that can understand data in the numeric form. Next, we built a DNN model and used that for training. After the model being trained, we tested it by feeding failed log files. The Accuracy of the prediction is increased by using the dropout and Softmax functions. The proposed method reduced the time taken by Engineers to manually analyze the failures and to find the root cause of those failures. By this approach the overall analysis time of the Engineers has been reduced by 90 percent.

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 Keywords

deep learning; neural network; log mining; text classification; bag of words; tensor flow

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Village Information System (VIS) is a process which incorporates the spatial and non-spatial information of a village in a GIS platform. This work is the part of a pilot research project assigned by Department of Science and Technology, Govt of India. Ten villages are selected from the Outer and Lesser Himalayan domain. In this work only one village i.e. Bajoon is incorporated for the discussion and tentative findings. Using collected information from satellite data, census 2011, field survey, a detailed digital land parcels wise data base is created and incorporated in the cadastral map. Information of each land parcels i.e. landuse/landcover (LULC), soil characteristics, rainfall, house, temple, spring water discharge, road and other infrastructural facilities have been collected. Socio-economic survey of each household is also conducted. All Collected information is stored in a digital cadastral layer using GIS technique. This work is very important for planning and management of village resources and creation of infrastructure for the sustainable development.

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 Keywords

Cadastral Maps, LULC, Soil, , Water, Rainfall, Infiltration, Socio Economic

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Emotion recognition is an important area of research which is very much relevant in the modern world. It is the foundation of Brain Computer Interface(BCI) technology. Emotions can be reflected from speech, body language, voice indentation etc[1]. But automatic emotion detection from EEG signals are more reliable than conventional methods. Advantages of using emotion detection using EEG signals is that it works with non cooperative and in accessible cases, less affected by non emotion factors. Some of the challenges faced by emotion recognition from EEG signals are less number of electrodes are available for brain signal capturing and computational complexity. Emotion Recognition has various applications in medical field, robotics, customer satisfaction, criminal investi-gation etc. Techniques used in emotion recognition are signal processing, feature extraction and classifications. In this paper we are going to explain these techniques in detail.

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 Keywords

EEG,BCI,signal processing,feature extraction

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 Abstract

The outstanding research topic on cryptography is called Fully Homomorphic Encryption (FHE), which allows computations to be carried out on encrypted data to the entrust server of the security and privacy concerned related to rising technologies like cloud computing. Various FHE schemes were industrial after the first creation of Craig Gentry in 2009 which security is relying on bootstrapping and censorship. It is based on ideal net and it is more many-sided and huge computational cost and unpractical, but it is enough for hypothetically possible. In this paper, symmetric based frivolous Fully Homomorphism Encryption theme is projected for the somewhat similarity set up that's supported GV system and uses on matrix rather than integers. We have a tendency to scale back the key size considerably by introducing Reduced Approximate GCD drawback. Another half is proving the theme is semantically secure below Approximate GCD. Finally, we have a tendency to propose a replacement algorithmic rule for key generation and fresh for every computation with a stipulated quantity.

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 Keywords

Cryptography, Homomorphism Encryption, Untreated server, Computation, Bootstrapping, Squashing.

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 Abstract

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Solar Panel, PIC16F877A Microcontroller, IR Sensor, DHT22 Sensor, LM3914.

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The properties of concrete, especially the durability are generally influenced by curing. It has effect on the hydration of the cement. Due to technological advancement in curing techniques and introduction of several chemical compounds, a considerable enhancement in the properties of concrete is observed today. Self-Curing agents prove to be suitable in dry regions. In this review paper, effort has been made to understand the working efficiency of various curing methods which are generally adopted in the construction industry.

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Wrapped Curing, hardened properties, durability, curing compounds and curing efficiency.

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Crop residue is a common source of air smog and poor air quality, which has adverse impacts with immediate short-term and long-term effects on human health at local, regional and global levels. Recently, crop exercises use mechanical harvesting machines in Indian rice and wheat farming systems. In the field of these methods, leave a large amount of plant residues. Burning the remains of the crop, there is a general view of destroying garbage after harvesting around the world. Crop Residue burning (CRB) is an important air pollution cause, with local, regional and global effects on air quality, public health and climate. Globally a broad range of studies has been conducted on almost all the aspects of CRB, including its particular types, on quantification of emissions and on calculating its numerous impacts. Hence, the object of this research is to studies published on related topic, articles, including literature relating to field measurements, laboratory studies and the impacts of CRB. Further, this review provides visions into the role of CRB and wildfire on air quality and health worldwide. The MODIS on-board the Terra (EOS AM-1) and Aqua (EOS PM-1) satellites is the important tool for identification of the CRB activities over the globe. The MODIS (Terra +Aqua) retrievals provide daily global aerosol optical depth (AOD), fine mode fraction (FMF) and Angstrom exponent (AE) over land. Based on a comparative study between AOD vs FMF and AOD vs AE, several researchers have examined the aerosol types like urban/industrial, CRB, dust, urban mixed etc. This review emphasis on literature findings concerning CRB emissions, the impacts on air quality, health and climate change. And its threats to atmospheric environment and climate change.

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CRB, Remote Sensing, GIS, Geospatial Technology, Crop Residue, MODIS, Air Smog, Air Quality;

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

level of education, correlation, health seeking behaviour, rural, urban, maternal

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Creative Commons Attribution 4.0 and The Open Definition