Nowadays, the issue is to limits the general transmit control for multicarrier non-orthogonal various access (MC-NOMA) frameworks. The asset designation equation style is created as a non-curved change drawback that set up together styles the power portion, rate allotment, client programming, and progressive obstruction cancelation (SIC) unscrambling arrangement for limiting the general transmit energy of the frameworks. Along these lines, the general transmit control are put something aside for megacycle ulcer frameworks and furthermore the mean square mistake esteem is limited by the MMSE minimization strategy for Non-Orthogonal Multiple Access Systems.

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In text mining, one of the challenging and growing importance's is given to the task of document classification or text characterization. In this process, reliable text extraction, robust methodologies and efficient algorithms such as Naïve Bayes and other made the task of document classification to perform consistently well. Classifying text documents using Bayesian classifiers are among the most successful known algorithms for machine learning. Text mining refers to the process of taking high-quality information from text one of the classification method that can be used is Naïve Bayes Classifier.

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Stress and its effects on human being have spread cause its wings in all the sectors in general and the banking sector. There is tremendous challenge amongst the public and private banks to give services to their customers to keep them happy. In this technology driven corporate landscape, the corporate organization keeps their employees on their toes. While doing this, employee always experienced enthusiasm heaviness at the workplace which every now and then effects on their physical and mental health. The reason & idea of this paper is to measure up to the stress practiced by the employees of public and private sector banks using primary and secondary data. For the research paper, I have done study on staff of banks on the topic of stress level practiced by them. A study was done to address specific of bank employee's stress. The population of this study includes public bank and private bank employees in Pune and Indore. The sample size was 39 in which employees from public bank 20 and 19 employees from private banks are taken. The research followed systematic random sampling. The population belongs to an age group 25 -55 employees. The result reveals that work stress is found in survey.

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Our project, a multi-terrain mountain board, is inspired by new-age design with an introduction of engine on a skateboard. What sets it apart from a skateboard is that the engine, used for acceleration, is mounted upon the board. The mountain board includes a chassis on which a deck is supported, a sprocket-chain combination is connected to the rear axle of the chassis, which is connected to the engine. The sprocket is fixed to a wheel which helps to drive the entire board. On the either wheel of the rear axle, a mechanical disc brake is mounted which provides deceleration and stopping the forward motion of the board. High tensile springs are fixed underneath the board which helps in dual suspension and turning of the board. The chassis is inclined to a certain angle from the front axle. This inclination makes the board to turn in any side. More the inclination, easier will be the steering movement.

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Research focus on a secure multi-keyword ranked search scheme over encrypted cloud data, which simultaneously supports dynamic update operations like deletion and insertion of documents. The research propose a “Greedy Depth- first Search” algorithm to provide efficient multi-keyword ranked search. A secure tree-based search scheme over the encrypted cloud data, which supports multi- keyword ranked search and dynamic operation on the document collection. Specially the vector space model and the widely-used “term frequency (TF) × inverse document frequency (IDF)” model are combined in the index construction and query generation to provide multi-keyword ranked search. In order to obtain high search efficiency, construct a tree-based index structure and propose a “Greedy Depth-first Search” algorithm based on this index tree. Due to the special structure of our tree-based index, the proposed search scheme can flexibly achieve sub-linear search time and deal with the deletion and insertion of documents. The secure algorithm is utilized to encrypt the index and query vectors, and meanwhile ensure accurate relevance score calculation between encrypted index and query vectors. In order to resist statistical attacks, phantom terms are added to the index vector for blinding search results. Moreover, parallel search can be flexibly performed to further reduce the time cost of search process. Extensive experiments are conducted to demonstrate the efficiency of the proposed scheme.

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This project aims to do ranking prediction of various search engines available on the web. The objective of the project is to do feedback analysis of various search engines. This project deals with study of Naïve Bayes algorithm which is used in feedback analysis.

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Power quality improvement for nonlinear loads is the point of interest for researches in recent years. Power factor plays an effective role in efficiency of electrical system. In power system the voltage level at different system changes with the change in load. The voltage level at the load must be maintained within required range irrespective of the type & magnitude of the load. For maintaining voltage fixed within limits, it is necessary to maintain the balance of reactive power in the system as reactive power is related with voltage directly. The appropriate choice for such problem is static Var compensators (SVCs) due to its low cost and simple control strategy. This paper proposes to minimize the harmonics and increase the power quality into the power distribution systems by the operation of SVC used in coordination with fast changing loads. We present a design and performance of TRIAC based capacitor bank switching using Arduino Uno. The performance of system is evaluated for different load conditions.

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In this paper we are introducing an intelligent women security system to inform about an emergency situation faced by women to the authorized people. We are using the GSM and GPS technology for the intimation to allocate the women. A GSM modem is used to send the position of the women from a remote place, the microcontroller ATMEGA 328 is used, which controls the function of the GSM modem for the intimation to the concerned person via SMS. Micro control unit takes the value of latitude and longitude from the GPS receiver and transfer it to the pre-programmed mobile number via SMS through GSM modem.

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Ongoing advancement in technology lead to ever-increasing storage capacities. Several techniques based on delta-encoding and duplicate block suppression have been shown to reduce storage over-heads, with varying requirements for resources such as computation and memory. Data deduplication has gained increasing attention and Ongoing Popularity as a space efficient approach in backup storage systems. Main challenges for centralized data deduplication is the capability of fingerprint-index search. We propose SiLo, a near-exact and salable deduplication system that professionally and complementary exploits similarity and locality of data streams to achieve high duplicate abstract—Data deduplication has gained increasing attention and popularity as a space-efficient approach in support elimination, throughput, and well balanced load at extremely low RAM overhead. The main scheme after SiLo is to representation and develop more similarity by grouping strongly correlated small files into a segment and segmenting large files, and to leverage the locality in the data stream by grouping contiguous segments into blocks to capture similar and duplicate data missed by the probabilistic similarity detection .By sensibly enhancing comparison through the development of locality and vice- verse. SiLo and employs a locality based stateless routing algorithm to paralleling and distribute data blocks to multiple backup nodes. SiLo is able to significantly reduce RAM usage for index look up, achieve the near-exact efficiency of duplicate elimination, a high deduplication throughput, and obtain load balance among backup nodes.

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Adulteration is a global concern and developing countries at a higher risk associated with it, due to lack of monitoring and policies. This adulteration can pose serious health hazards leading to fatal diseases and a decrease in its quality. Adulteration usually refers to mixing other matter of an inferior and sometimes harmful quality with food or drink intended to be sold. As a result of adulteration, food or drink becomes impure and unfit for human consumption. Here the monitoring of liquid adulteration particularly that of milk is done by setting a limited range of the specific gravity of milk and maintaining temperature corrections at various temperature points to obtain an accurate specific gravity reading. In this manner, one parameter of the adulteration of milk will be distinguished from pure milk.

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A review paper based on investigation of heat transfer enhancement with the help of using different types of inserts or turbulators used in duct (Square, circular and Rectangular Channel). Set of repeated turbulators used to promote turbulence and enhance convective heat transfer. Which results at various Reynolds number (Re) within the turbulent flow regime the local heat transfer coefficient obtained. Here due to low heat transfer the heat transfer rate also lower level.

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The community of users participating in social media tends to share about common interests at the same time, giving rise to what are known as social trends. A social trend reflects the voice of a large number of users which, for some reason, becomes popular in a specific moment. Through social trends, users therefore suggest that some occurrence of wide interest is taking place and subsequently triggering the trend. In this work, we explore the types of triggers that spark trends on the microblogging site Twitter. The user will be allowed to search for the latest trends by inputting a keyword into search field. Based on user provided keyword, the system will search for similar keywords in database and summarize the total count to provide the trending tweets on twitter. The trending tweets with hashtag () will be displayed first and then the rest words will be displayed. By clicking on every trending tweet, the user commented tweets will be displayed. User can view all the tweets from the searched keyword.

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The dynamic of an human action is recognized by the system. In this software we first train the system for identifying the human face, sound generation and action recognition based on action recognition technique. HOG pattern generation, Edge based matching and Skin colour segmentation are the algorithms used here. We train the system for identifying the human face, skin and action, the system extract all the features and store it in the database.it is applicable in the pharmacy management system for managing the pharmacy details such as medicine details, user details etc. it is mainly useful for dumb people who wants to know more about medicines etc. The proposed system make use of silhouettes, tracked points and histogram of gradient.

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In this survey paper, we present survey on the variety of leaf disease in plants and also their classification and identification. When plants are affected by the diseases, it may affects the production as well as the economy of the country. In order to find out which disease affect the plants, the farmer need to contact the expert for the solution. The expert provide the suggestions which is based on its knowledge and information whereas sometimes searching the expert suggestion is time consuming, expensive and may be not precise. Therefore to resolve this problem, Image processing techniques provides the accurate and fast solution. Here this survey paper gives different detection and classification techniques. There are various successful detection techniques like Probabilistic Neural Network, Genetic algorithm, Artificial Neural Network, Back propagation neural network and Support vector machine (SVM).

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In the following work an alternative prototype was developed to measure the energy discharge in external defibrillators, unlike the conventional defibrillator analyzers where the energy discharge is performed with a fixed impedance of 50 Ω, this prototype proposes to perform the energy discharges of any external defibrillator and will have a variable impedance module at an affordable price. To verify that the prototype makes precise measurements, two external defibrillators of the same model were evaluated, and compared with a gold standard Phase 3, making five discharges of each defibrillator in three different energy intervals, and thus validate the proposed prototype, and according to the obtained results it was demonstrated that this prototype is reliable since by means of the Bland-Altman method it was proved that the prototype is accurate and that there is agreement between the two measuring instruments used. This prototype seeks to be an alternative measurement of cardiac resuscitation equipment, for health institutions that do not have the resources to purchase expensive equipment.

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Digital Image Steganography is a techniques of hiding message or information in a digital image such a way that nobody can notice the existence of message. In this paper we using a novel approach for enhancing the security in steganography using Indexed texture synthesis. A texture synthesis process resample’s smaller texture image to obtain a new image with same appearance and arbitrarily size. To conceal the secret message in image we use the texture synthesis in steganography. In contrast of using existing cover image to hide the secret message, our approach hides the source texture and embed the secret message through the process of indexed texture synthesis and color synthesis. This method has advantage over other steganography techniques, it offers the message embedding capacity is proportional to the size of stego image, it is difficult to reveal the secret message by an attacker since we are using dual indexed approach. The Experimental result shows theour approach provides various embedding capacities, provides visually plausible Stego image and extraction of source texture.

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