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International Journal for Modern Trends in Science and Technology (IJMTST)
Editor in chief:Dr. V. Joshi Manohar
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Improvement On Traditional Lds Structures To Crack The Passwords Based On Individual?S Information
Author:P.Sasirekha, S.Varadhaganapathy, J.Premalatha, A.Jeevanantham And C.Visali
Volume: 3 | Issue no: 12-2017 | Pagination: 39-45
While it is not favored, internet users wish to include personal information in their passwords for easy recognition. In this paper, we disjoint user passwords from a Chinese website to inspect the intensity to which personal information resides in a password. Then we bring out a new measurement called Depth to find the interrelation between personal information and passwords. Afterwards, based on our analysis, we propose Individual-PCFG as a supplement to the Probabilistic Context-Free Grammar method to be semantics-rich. We manifest that Individual-PCFG cracks password much faster than PCFG by generating personal information related guesses and makes online attacks much more faster to succeed.
Privacy Preserving Approach For Accessing Electronic Health Records With Deteriorating Risk
Author:V.K.Saxena And Shashank Pushkar
Volume: 3 | Issue no: 12-2017 | Pagination: 30-38
In the healthcare field, preserving privacy of the patient?s electronic health records has been an elementary issue. Numerous techniques have been emerged to maintain privacy of the susceptible information. Whereas acting as a first line of defense against illegal access, traditional access control schemes fall short of defending against misbehavior of the already genuine and authoritative users; a risk that can harbour overwhelming consequences upon probable data release or leak. This paper introduces a novel risk reduction strategy for the healthcare domain, so that, the risk related with an access request is evaluated against the privacy preferences of the patient who is undergoing for the medical procedure. The proposed strategy decides the set of data objects that can be safely uncovered to the healthcare service provider such that unreasonably repeated tests and measures can be avoided and the privacy preferences of the patient are preserved.
Strength Evaluation And High Temperature Performance Assessment Of Fly Ash Based Cementecious Material
Author:Sk.Rasool Ahmed And M.Nageswara Rao
Volume: 3 | Issue no: 12-2017 | Pagination: 25-29
Concrete is the most common construction material in the world because it combines very good mechanical and durability properties, workability and relative low cost. However, cement production emits greenhouse gases, mainly CO2, being responsible for about 5% of global anthropogenic CO2 emissions in the world. The use of pozzolans as cement replacement is a problem that would have local solutions since transport is one of the main cost components for cementitious materials. The application of fly ash in concrete production brings positive effects of the environment; hence it reduces the problems associated to their disposal. Several benefits will be attained regarding green house gas emissions resulting from the use of mineral admixtures as cement additive, since their use allows reducing cement production. Regarding their use as cement additive, mineral admixtures affect the performances of paste, mortar and concrete owing to both physical and chemical effects. Therefore it is possible to use fly ash as cement additive and replacement material to improve quality and reduce cost of pozzolonic construction material The cement has been replaced by fly ash accordingly in the range of 0%, 5%, 10%, 15%, 20% & 25% by weight of cement for mix. Concrete mixtures were produced, tested and compared in terms of compressive strengths with the Conventional concrete. These tests were carried out to evaluate the compressive strength properties for the test results of 28, 56 days compressive strengths which were exposed to elevated temperatures of 4000C, 5000 C &6000C for time duration of 30 minutes and 60 minutes respectively.
Big Data Analytics: Future Frameworks And Scale In The Field Of Education
Author:Srinivasa Rao Madala And Jahnavi Boppudi
Volume: 3 | Issue no: 12-2017 | Pagination: 20-24
Big data is a standout amongst the most well-known research slants in the flow time. Ubiquity and ease of use of Big Data make it most encouraging exploration territory in past decade. Learning analytics utilizing Big Data is the rising field and the greater part of the territories are taking utilization of these outcomes and results as a yield of this examination. It ends up noticeably critical to learn and comprehend the learning examination and result of the Big Data. Expanding information and request in adaptability in comes about have made new difficulties in practically in every field. Advanced education organizations are additionally one of them as they need to confront new difficulties to keep up their notoriety and understudies' development. Establishments have reacted by embracing investigation based way to deal with enable hierarchical and instructive viability. Making investigation noteworthy in the field of IT ends up noticeably compulsory for the higher instructive foundations. This paper has distinguished distinctive regions of instruction which can take appearance utilization of such examination and advanced education can detect their development as far as amount and quality. Quality confirmation is the thought process of the examination paper so we can put the aftereffects of investigation noteworthy.
The Ring Theory In The Zoning Of Images: An Application
Volume: 3 | Issue no: 12-2017 | Pagination: 16-19
Ring theory is one of the branches of the abstract algebra that has been broadly used in images. However, ring theory has not been very related with image segmentation. In this paper, we propose a new index of similarity among images using ℤn rings and the entropy function. This new index was applied as a new stopping criterion to the Mean Shift Iterative Algorithm with the goal to reach a better segmentation. An analysis on the performance of the algorithm with this new stopping criterion is carried out. The obtained results proved that the new index is a suitable tool to compare images.
Performance Analysis Combination Of Nickel And Zinc Coated Single Point Cutting Tool In Turning Operation
Author:Komarthi Srirama Kumar And P.Poornamohan
Volume: 3 | Issue no: 12-2017 | Pagination: 1-11
Machining is the heart of any manufacturing industry. For any kind of material like macro to heavy machinery requires machining. Cutting tool requires machining process. Engineers and scientist are working to find out the best technique for increasing the efficiency of machining process. The cutting tool coating is a process for increasing the performance and productivity in machining process. This thesis work objective is to analyze the performance of single point cutting tool coated with metal (Nickel and Zinc) in the turning operation of aluminum. Single point cutting apparatus utilized for machining cylindrical shaped specimen of aluminum. Several kinds of tests like depth of cut, feed rates and cutting speed are taken place. The temperature of work piece- tool interface and surface roughness is measured and obtaining the results for MRR. These data helped in analyzing the effectiveness of cutting process. The tool used is HSS and are coated with nickel and zinc separately. Total 24 tests are completed and comes about are tabulated. The values attained to draw a graph between coated and uncoated cutting tools are finally concluded. The results obtained from turning operation by coated tools are compared with uncoated tool to draw a valid conclusion.
Dynamic Modeling And Analysis Of Six-Phase Self-Excited Induction Generator
Author:D.Milantha Minnet, M.Venkatesh And G.Prem Kumar
Volume: 3 | Issue no: 4-2017 | Pagination: 53-58
This paper presents a simple d?q model of a saturated multi-phase (six-phase) self-excited induction generator (SP-SEIG). Multi-phase AC machines are nowadays widely considered as potentially viable solutions for numerous variable-speed drive applications. With an increased emphasis on renewable electric energy generation, while interfacing with the grid typically take place by means of power electronic converter, if the generator is used for stand-alone application. The main advantages of multi-phase machines that make them viable for drive can also be effectively exploited in generating application. In particular, it is shown that the SP-SEIG can operate with a single three-phase capacitor bank. The generator can also supply two separate three-phase loads, which represents an additional advantage. In this paper proposes the modeling and analysis of six phase self excited induction generator under R and RL load condition and also torque and rotor dynamic equation are discussed. The simulation results obtained and compared with three phases self excited induction generator. Results obtained compared with three phase self excited induction generator performance. In power generation application of practical usage this system has sufficient capability.
A Frame Work For Control Of Gird Connected Wind Power Using Two Layer Control
Author:V.Sarath Kumar, D.Rupesh, K.Prudhvi Raj, Ch.Prasanth Kumar, K.Manasa, A.Jawahar, Ch.Rajyalakshmi And Ch.Vishnu Chakravarthi
Volume: 3 | Issue no: 4-2017 | Pagination: 45-52
Recently, several large-scale wind generation projects have been implemented all over the world. It is economically beneficial to integrate very large amounts of wind capacity in power systems. Unlike other traditional generation facilities, using wind turbines present technical challenges in producing continuous and controllable electric power. With increase in contribution of wind power into electric power grid, energy storage devices will be required to dynamically match the intermitting of wind energy. When wind turbines are connected to a grid, they should always maintain constant power. In order to maintain constant active power, the use of Doubly-Fed Induction Generators (DFIG) with Energy Storage System (ESS) like super capacitor (or) batteries can be used, with a two layer control scheme. In the two layers control there is a high-layer controller known as Wind Farm Supervisory Control (WFSC), which generates the active power (P), Stator Power (Ps), Energy storage power (Pe), DC voltage (Vdc) etc., references for the low-layer WTG controllers. The low-layer controller has two different controls i.e., Grid side controller (GSC) and Rotor side controller (RSC) which are used to control the AC/DC/AC converters of DFIG wind turbines and to generate the desired active power demand specified by the grid operator. Simulation is carried out in Matlab to evaluate the performance of wind farm equipped with 15 DFIG wind turbines with and without ESS to provide a constant active power of 36MW
A Fuzzy Based Statcom Controller For Mitigating Current Harmonics In Grid Interfaced Wind System
Author:Sd.Daryabi, V.Prudhvi Raj, M.Mounika, Ch.Vijaya Lakshmi, J.Santosh And B.Gowthami
Volume: 3 | Issue no: 4-2017 | Pagination: 40-44
Generally, the non-conventional energy sources are being extensively used in case of power electronic converter based distribution systems. This paper mainly focuses on the wind energy system integrating with grid connected system and also improvement of power quality features. The wind energy power plant is modelled based on associated equations. For improving this power quality problems, this paper proposes the concepts of shunt converter controllers. This paper also proposes the concepts of fuzzy based Thyristor Switched Capacitor and Static Compensator and STATCOM. And also the results are compared for this cases. Thus with such a control, a balanced load currents are obtained even in the presence of non-linear load. The experimental setup is done in Matlab and verified the simulation results.
Repairing And Inpainting Damaged Images Using Adaptive Diffusion Technique
Author:P.Aswani Kumar And Jorige Venkateswara Rao
Volume: 3 | Issue no: 4-2017 | Pagination: 34-39
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can lead to tremendous computational challenges. In contrast, when we work with small image patches, it is possible to learn priors and perform patch restoration very efficiently. This raises three questions - do priors that give high likelihood to the data also lead to good performance in restoration? Can we use such patch based priors to restore a full image? Can we learn better patch priors? In this work we answer these questions. We compare the likelihood of several patch models and show that priors that give high likelihood to data perform better in patch restoration. Motivated by this result, we propose a generic framework which allows for whole image restoration using any patch based prior for which a MAP (or approximate MAP) estimate can be calculated. We show how to derive an appropriate cost function, how to optimize it and how to use it to restore whole images. Finally, we present a generic, surprisingly simple Gaussian Mixture prior, learned from a set of natural images. When used with the proposed framework, this Gaussian Mixture Model outperforms all other generic prior methods for image denoising, deblurring and inpainting.
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