Volume 6 | Issue 2

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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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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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The main focus of this project is to design and construct leakage reducer which is one of the main parts in solar energy system. The system is comprised in a solar panel, with a lithium battery and a control unit. A lithium battery has an extremely long life with an appropriate charging method, which improves the reliability and stability of the system. It adapts a Maximum Power Point Tracking (MPPT) circuit to take a full advantage of solar energy. In existing system the harvested energy is used twice for processing before it reaches the load circuit. But in proposed system, the usage of solar energy power is monitored and controlled using DC-DC converter. The usage of power to home appliances and remaining power will be displayed in the system. The voltage is continuously monitored by using OFDMA transmitter and receiver. The above technique is simulated and performance is evaluated for different power input using Xilinx ISE.

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DC-DC Converter, MPPT, OFDMA transmitter, VHDL.

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This project is insight into the design and implementation of Developing Prediction Model of Loan Risk in Banks. Extending credit to individuals is essential for markets and society to act efficiently. Estimating the probability that an individual would default on their loan, is useful for bank to make decision whether to approve a loan to the individuals or not. In our project we find the accuracy for three models in python language and evaluate it to establish the finest model to forecast the finance status for an organization. We did the experiment one time for each of the three models on the same data set and find the experimental result that show the Logistic Regression Model is the best model for forecasting the finance for customers.

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Credit Risk, Classification, k-nearest neighbor, Decision Tree, logistic regression, Prediction.

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We administer the Prediction of alphabet matrix through Support Vector Machine to increase the precision of each letters. We find prediction matrix on 20,000 datasets. This fined how many mismatch of words and for this we create a prediction matrix after machine learning. For machine learning we use SVM. The aim of a SVM is to construct a flat boundary known as hyper plane, which separate the space to construct fairly homogeneous partitions on either side.Goal of the Prediction Matrix Alphabet is to increase or maximize the accuracy of the mismatch Alphabets. As for example, in word RAM the precision of the letter R is to be increased by Prediction Matrix.

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Support Vector Machine,Prediction Metrix Alphabet Dataset,and programing language Python.

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Simultaneous execution of processes and the calculations are done in parallel computing for the computation. The problems which are large can be divided into smaller problems, and then they can be solved at the same time instead of solving at different times. A DBMS is a system which is closed and has its own data, which must be in its corrective format and slows down the improvement for data-hungry applications such as Machine Learning. [2] Parallelism has been used for high performance computing for long. This could also be computed by using Hash Partitioning. Dividing the logical database and its component elements into different parts which are independent. Manageability, availability reasons, performance, or load balancing are normally done using database partitioning. We can also build separate smaller databases for performing partitioning.

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Hash Partitioning, Parallel Computing

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Soil stabilization is the process of improving the engineering properties of the soil and thus making it more Stable. It is required when the soil available for construction is not suitable for the intended purpose. Black cotton soils are boon to the formers and also problematic to civil engineers. Civil Engineering Structures experience large scale of damage due to change in properties of the soil. In India, these soils occupy around 20% of the total area. A chemical is added to a natural soil for the purpose of stabilization. Soil stabilization is used to reduce the compressibility of the soil mass in earth structures and to increase its shear strength. The main objective of this study is to investigate the use of polypropylene fiber material in geotechnical applications and to evaluate the effects of polypropylene fibers on shear strength of unsaturated soil by carrying out unconfined compression tests on different soil samples. The optimum proportion of polypropylene fiber that improves plasticity characteristics, compaction characteristics and strength characteristics of soil is 0.20%.

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compaction, MDD, OMC, polypropylene fiber, Soil stabilization, UCS.

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Abstract The art of healing of the ailments has been known from the time immemorial. Many indigenous ways and methods have been followed for the relief of suffering of mankind since Vedas. Agnikarma is one among the Anushastras (substitute of surgical instrument) or para-surgical technique mentioned in Ayurvedic literature. Acharya Sushruta,Charaka and Vagbhata describe the role of Agnikarma in debilitating disorders mainly indicated in Ruja Pradhan, Vata and Kaphaj vyadhis(1). Acharya Sushruta has advised agnikarma in conditions such as presence of severe pain in skin, muscle, vein, ligament, joint and bone, caused by aggravated vata, wound with raised, hard and numbed granulation, in granthi (cyst), piles, tumors, fistula in ano, apachi, shleepada (elephantiasis), charmakeela (wart), tilakalaka (mole), antravruddhi (hernia), and disease of snayu (ligaments and tendons), asthi (bone), sandhi (joints), cutting of blood vessel etc. and also in nadi (sinus) and excessive haemorrhage(2)etc. Acharya Vagbhatta even termed it as the best amongst all kind of therapeutic procedures in Ayurvedic armory because of non-recurrence(3).It is explained to provide complete relief in certain chronic diseases which are not cured by herbal medicine, surgical interventions and alkaline cauterization. Despite many new tools and techniques dealing with chronic wounds and different kind of diseases is still a major clinical challenge to the medical fraternity. Acharya Sushruta advices sixty procedures for the management of wound healing, agnikarma is one of them. Acharya Charaka specially advocated the role of agnikarma in the management of chronic wounds. It was found that agnikarma has many advantages and safest method. It seems to be more effective by providing timely relief.

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Agnikarma, Ayurvedic, Dhatu, Tilkalak, Shleepada, Apache, Charmakeel, Antravruddhi

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We cannot imagine the world without electric power. Generally the power is transmitted through wires. This project describes an original idea to avoid the harmful usage of electrical wires which involve tedious process of organizing them. Imagine a future in which wireless power transfer is feasible: cell phones, household robots, mp3 players, laptop computers and other portable electronics capable of charging wirelessly, instead of using bulky batteries. This paper describes about the utilization of solar energy and the wireless transmission of the generated power. The solar power is first stored in a battery then transferred through wireless medium by inductive coupling. There is a high thrust for renewable energy to mitigate the effect of global warming. The inductive power transfer has wide applications along with renewable energy. To demonstrate this solar based wireless power transfer system for home appliances has been developed. The advantage of this project is to increase the usage of renewable energy resources in order to reduce the CO emissions. And also the wireless power transfer system is a new way to transfer the power to the load rather than the conventional method of transferring power through livewires.

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inductive charging, non-radiative energy transfer, renewable energy sources, wireless power transfer system (WPTs)

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This paper outlines the Optimization problem of real power and presents the new algorithm for studying the optimum load scheduling problem where a portion of the transmission Losses can be neglected. The paper describes a novel and time saving method and to obtain the optimum power dispatch This optimization procedure is free from iteration. The results are compared with the results found from Genetic Algorithm Technique.

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iterative technique, optimization, economic load dispatch.

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The urge for efficient materials in aviation and automotive industry created a great scope for development of metal matrix composites by alloying and use of vide range of reinforcements. In the present study, Al-4Cu, Al-4Cu-2SiC, Al-4Cu-0.5Mg andAl-4Cu-0.5Mg-2SiC alloy -composites are prepared through powder metallurgy route. Mechanical alloying was done for sufficient time to obtain homogenous composition. The homogenous powder mixture is compacted and pressure less sintered at 500oC for 1 hour in continuous flow argon gas atmosphere. The relative density of the sintered preforms is found to be 90% approximately after sintering. Sintered preforms are used as work piece materials for deformation study. The stress strain curve is obtained during the deformation process. The effect of alloying and the reinforcement on the stress strain curve of the composites was reported.

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:Deformation,Workpiece,Sintering, Preforms, Powder metallurgy.

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Library on cloud is a proposed project which focuses in developing a system online to maintain the various tasks of the library on done in daily basis. It has many additional key features that till date are not available in traditional library management systems. It provides a facility of student's and teacher's login. It also has the facility for the librarian to login into the system through which he can analyse and maintain the whole system. It also provides the facility where students after login in their particular accounts can review their list of books reserved and issued and its date of issue and return. The librarian after logging into his account can manage the students profile status, book issue and return status of students and the status of books present in the library. Overall the development of this project will give a path to provide ease to the students, teachers as well as the staff members of library to maintain the library in the best way possible and also reduce the human efforts.

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AES

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