Volume 6 | Issue 2 |

 Abstract

CHHATTISGARG ME RASTRIYA ANDOLAN KE AGRADUT -PT. SUNDARLAL SHARMA

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CHHATTISGARG ME RASTRIYA ANDOLAN KE AGRADUT -PT. SUNDARLAL SHARMA

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Creative Commons Attribution 4.0 and The Open Definition

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Anomaly detection method is used to find the abnormal behaviour of the data that do not conform to the normal behaviour called outliers. Many anomaly detection techniques have been discussed related to unsupervised learning. In this survey, benefits and drawbacks of various unsupervised learning techniques are discussed and some suggestions are made on choosing the suitable techniques to detect anomalies. Unsupervised learning is a type of learning algorithm used to draw inferences from datasets consisting of input data without labelled responses. These learning methods are used to find the hidden patterns or grouping in data. Various techniques has grouped from different categories to differentiate between normal and anomalous behaviour of the data used by various application to detect the fraudulent activities. The anomaly detection also provides better threat intelligence and optimize the accuracy of alerts.

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Anomaly detection, unsupervised Learning.

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Hyper retail stores are a new and growing phenomena in India. India is a fast growing retail market, retailers are competing with different promotional strategies. Big Bazaar and Reliance Fresh are two major players and have grown in retail space. This paper studies different sales promotion strategies and its effects. This paper also explains how sales promotion strategies help attract new consumer for these retailers and face the competition effectively. A descriptive study was done where primary data was collected from 100 employees of both the stores in different locations. Questionnaire was prepared with multiple choice and open-ended questions. It was found that both the retailers use strategies for short term increase in sales and to induce first trial. Branded packaged goods are important part of promotional strategies and there exists a huge scope for the growth of Big Bazaar and Reliance Fresh. Assortment is also an important part of promotional strategies for both the stores who are very aggressive in their strategies. Few suggestions are also made in the study.

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Promotional Strategies, hyper retail-stores, Retailing, Big Bazaar, Reliance Fresh.

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Background: An alarming number of school going students suffer from several emotional and behavioral problems. Aggression is one among them. Aggression in adolescence is a key point of focus for psychologists, educationists, parents, and teachers. On the other hand, interdisciplinary researches with special reference to yoga and psychology are growing rapidly in this era of applied science. Aims: The current study aimed at exploring the effect of Yogic Intervention on the aggression level of school going students. Methods: A sample consisting of 40 VIII grade students from Gayatri Vidyapeeth, Shantikunj, Haridwar, Uttarakhand was taken. The entire sample belonged to the age group of 14-16 years. Yogic intervention was given to each and every subject of the group for a period of 90 days regularly. In this research, pre-post single-group design has been applied. Participants were given a questionnaire named as "Aggression Scale" (A-scale) which was developed by Roma Pal and Tasneem Naqvi (1986) for measurement of aggression score. Statistical Analysis Used: Wilcoxon sign rank test, and reduction percentage have been used for comparing pre and post scores and computing the magnitude of the effect of intervention. Results: A Wilcoxon Signed-Rank Test revealed a statistically significant reduction in the level of aggression of the participants in the yogic interventional program, z = -5.515, p<0.001(sig.2-tailed ). The median score on aggression decreased from 94 pre-intervention to 60 post-intervention. The pre test percentage was 64.15% and post test percentage was41.5%, reduction percentage of aggression level was 22.65%, which indicates large effect of the intervention on aggression. Conclusions: The findings revealed that the Yogic Intervention is highly effective in reducing the aggression level in school going student participants, which was significant at 0.01 level of significance.

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Yogic Intervention, Aggression and School Students

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The project presents moving object detection based on background subtraction under Daubechies wavelet transform domain for video surveillance system. The object detection in the frequency domain will be approached to segment objects from foreground with an absence of background noise. Initially, it starts with background initialization by choosing start frame or taking initial few frames with the approximate median method. Then, DWT is applied to both current and initialized background frame generates sub-bands of low and high frequencies. Frame differencing will be done in this sub-bands followed by edge map creation and image reconstruction. In order to remove some unwanted pixels, morphological erosion and dilation operation is performed for object edge smoothness. The proposed approach has some advantages of background noise insensitiveness and invariant to varying illumination or lighting conditions. It also involves background updating model based on the current frame and previous background frame pixels comparisons. After the object detection, the performance of method will be measured (between frame ground truth and obtained result) through metrics such as sensitivity, accuracy, correlation and peak signal to noise ratio. This object detection also helps to track the detected object using connected component analysis. The use of proposed methodologies for effective object detection have better accuracy and with less processing time consumption rather than existing methods.

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video surveillance, DWT, morphological erosion, dilation, Frame differencing

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In India, a major portion of total land area is covered by clayey soil. Of this, a large proportion is expansive soil. Expansive soils are often encountered in many parts of the world, especially in arid and semi-arid fields. . Soil stabilization is one of the promising techniques used to improve the geotechnical properties of soil and has become the major practice in construction engineering. This project aims to conduct a study to check the improvements in properties of black cotton soil by adding polypropylene fiber. By varying percentage of fibres (0%, 0.25%, 0.5%, 0.75% and 1% ), the soil parameters such as UCC and CBR may be studied. These values are compared to that of a control specimen.As the fiber content increased, the unconfined compressive strength was increased. Finally, it can be said that stabilization of black cotton soils with polypropylene fiber is an effective method.

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Expansivesoil, polypropylene fibre, UCC, CBR,Black cotton soil.

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underutilized mushroom, value addition, shelf life, preservation, income generation.

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BPF, CMOS, Low Power, Bluetooth, OTA, GFSK, SNR, BER

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This research paper offers an analysis of the main parameters influencing project profitability. This is very critical and important parameters from efficiency point of view. Hence, these factors must be adapted to the specific circumstances surrounding each company, department and customer. The key difference in performance measures versus value measures is the reason for doing the analysis of project efficiency. In measuring project performance, you are trying to get the information to help you make management decisions to affect change that, hopefully, that will improve the performance. For example, project performance measures are carried out to provide information to managers in order to exert control over the project. Those measures must be appropriate to the organizational level that can immediately effect change based on information it learns in order to control the performance of the project at hand (measuring the earned value of the project will provide information on the performance of the project to allow managers to make critical decisions to bring the project to closure successfully). These measures must be collected from actual data available from various support functions and regular basis. Perhaps even weekly or monthly. It is depending upon the duration of the project.

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Project Profitability and Performance measures

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Clustering is the gathering together of comparative information things into groups. Clustering examination is one of the principle logical strategies in information mining; the strategy for Clustering algorithm will impact the Clustering comes about straightforwardly. This paper talks about the different kinds of algorithms like k-means Clustering algorithms, and so forth. furthermore, investigates the focal points and deficiencies by applying them on Road accident analysis. Road accidents and especially urban accidents are a standout amongst the most vital negative effects delivered by movement, including the two clients and non clients of the vehicle framework. The quantity of deadly wounds has expanded in the most recent decades and their social cost has turned out to be increasingly applicable requiring an indepth think about with a specific end goal to determine the issue, This paper proposes an N-Clustering algorithm for prediction of accidents in view of cluster procedures. The proposed algorithm is applied on the dataset considered and is divided into various clusters.The distinguishing proof of the important aspects normal to various sorts of accidents is the initial step for a cognizant mediation in the transportation framework, in light of the fact that the information of the primary reasons for accidents can help the experts of the transportation frameworks both in the development of scientific connections among accident and causes and can bolster the decision of appropriate activities for lessening the quantity of accidents. The proposed N-Clustering algorithm exhibits best performance when compared to K-means algorithm.

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Clustering, accidents, prediction, clustering algorithms.

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Creative Commons Attribution 4.0 and The Open Definition