Volume 5 | Issue 4

 Abstract

Traditional rice varieties of North Goa (Goa) represents important genetic reservoirs with valuable traits. These traditional varieties are better adapted to local soil and climatic conditions, resistance to diseases, withstands water stress, has good grain characteristics and nutritional value. Such traits act as positive factors in the retention of these rice varieties in the face of increasing erosion of these important germ plasm of rice. Its conservation is crucial for future food security. Recently the cultivation of these varieties is on the decline. The present study aims to assess the biodiversity status of the traditional rice varieties in North Goa, to identify the factors responsible for the change in its biodiversity status and to recommend conservation strategies if needed.

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 Keywords

Conservation; Biodiversity; Gene pool; Trait; Rice varieties

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 Abstract

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 Keywords

collusion;authorization;segmentation;auditor

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In this paper I propose a near-real-time and cost-effective semantic queries based methodology, called FAST. The thought behind FAST is to investigate and misuse the semantic connection inside and among datasets through relationship mindful hashing and sensible level organized tending to altogether decrease the preparing inertness, while acquiring acceptably little loss of information look exactness. The close continuous property of FASTenables quick ID of corresponded records and the critical narrowing of the extent of information to be prepared. FASTsupports a few sorts of information examination, which can be executed in existing accessible stockpiling frameworks. We direct a certifiable utilize case in which youngsters detailed missing in a to a great degree swarmed condition (e.g., a very well known beautiful spot on a pinnacle traveler day) are recognized in a convenient mold by breaking down 60 million pictures utilizing FAST. Quick is additionally enhanced by utilizing semantic-mindful namespace to give dynamic and versatile namespace administration for ultra-huge capacity frameworks. Broad trial comes about exhibit the productivity and adequacy of FAST in the execution upgrades.

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 Keywords

Cloud storage, data analytics, real-time performance, semantic correlation

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 Abstract

: Now A days we are facing one problem that is data extraction from large amount of data set. for that problem here I am providing one solution i.e query facets As an example, for the question "stuff remittance", these gatherings may be diverse aircrafts, distinctive flight sorts (local, global), or distinctive travel classes (in the first place, business, economy). I name these gatherings inquiry aspects and the terms in these gatherings feature terms. I build up a directed approach in view of a graphical model to perceive inquiry aspects from the uproarious hopefuls found. The graphical model figures out how likely a competitor term is to be an aspect term and additionally how likely two terms are to be assembled together in an inquiry feature, and catches the conditions between the two components. An inquiry aspect can be gotten by totaling the noteworthy records. The question aspect motor will consequently get the features related with an inquiry. Seeking will be less demanding with the assistance of aspects .It likewise include the idea of regular thing mining. The features are allocated a weightage esteem. Keeping in mind the end goal to show the features in need savvy way utility mining idea is additionally incorporated with it. It enhances the looking

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Extracting Query Facets from Search Results Using QD Miner

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 Abstract

Most of the commercial energy demand in India is met largely by imported fossil fuels. In 2013, India was the 4th biggest consumer and net importer of crude and petroleum products in the world (Barpatragohain, 2015). As the country is essentially dependent on energy import, any shortfall due to unforeseen geopolitical situation may cause acute energy scarcities which will consecutively impede the industrial growth and economic progress. In order to achieve energy independence, the dependency on imported oil has to be reduced by developing alternate energy sources. If renewable power systems deliver such impressive benefits, but still we produce only 20-25% percent of national electricity generation in the India. The share of renewable energy sources, primarily wind and solar is poised to growth significantly power system. The Indian government has set a target of 175 GW of installed renewable capacity by 2022. Including 60GW of wind and 100 GW of Solar, up from an installed capacity of 29 GW wind and 9 GW solar at the beginning of 2017. Whether the target is achievable or not will be determined by market and policy led forces. However a key question that arises is what would be the operational impact of meeting these targets and what actions can be taken for effective integration of renewables. At low levels, integrating solar and wind energy into grid can be achieved relatively easily. But at higher levels, wind and solar generation can present some challenges to grid operations because the additional variability and uncertainty it brings to the power system. This thesis work leaves policymakers with a lot of thinking to do regarding the viability of other alternatives in long-term power planning, and underscores the need for path-breaking R & D in the sector.

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 Keywords

Renewable Power Generation, Wind Power, Solar Power, Waste to Energy.

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The assurance of nature is a fundamental aspect, which is specifically associated with the survival of civilization. Parameters like ecological awareness, defense of natural resources, maintainable improvement assume a fundamental part in present day necessities for development. Remembering this, in this review the fresh and harden properties of self compacting concrete (SCC) utilizing granite waste as partial replacement for cementitious material along with foundry sand as partial replacement for fine aggregate and addition of polypropylene fibers were assessed. Cementitious material in the mix was replaced with granite waste at 0, 5%, 10%, 15% and 20%. For every granite waste replacement level, 20% of fine aggregate was replaced with foundry sand and 0.03% polypropylene fibers are added for M-50 Grade of concrete. The results show that use of Industrial waste will build the quality of the self-compacting concrete when compared and Normal self compacting concrete. But it should not exceed 10% of granite waste and 20% of foundry sand.

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Granite waste, self compacting concrete, foundry sand, polypropylene fibers and Conplast SP-430.

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 Abstract

In industry,CNC machine are playing very important role for various fabrication and automation process but we need a performance by which we could meet our precise and accurate result.Here we are applying propertional-derivative controller ,fuzzy-proportional-derivative controller and genetic algorithm-proportional-derivative controller to get our response and on the basis of these three responses we are comparing our conclusion that among of three which techniques gives us very precise and accurate result without any error.

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Cnc machine ,Proportional-integral-derivative,Fuzzy logic controller,Genetic algorithm

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Waste water is any water that has been adversely affected in quality by anthropogenic influences. Effluent from industries as well as sewage from colonies has been identified as main cause of water pollution across our country. Sewage is a water carried waste normally contains 0.05% to 0.1% of total solids, in solution or suspension that is required to remove from a community. It is characterised by volume or rate of flow, physical condition, chemical characteristics, biological organism it contains. The essential element for the existence of living being are air, water, food, shelter etc out of which water is the 2nd most important. People has been increases their awareness towards water conservation and reuse. Hence new techniques towards achieving sustainable development of water resources have been developed internationally. The BOD (180-200)ppm, COD (280-340)ppm, TSS (150-200)ppm are concentration of sewage range. Treatment technologies adopted are ACTIVATED SLUDGE PROCESS, CHLORINATION, and FILTERATION. The results are very good it achieved 96.8% BOD, 92.5% COD, 95% TSS and 99% total coliform removal. The treated sewage can be used for the following purposes like irrigation, toilet flushing, road washing, gardening, etc thus leading towards water conservation.

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BOD, COD, TSS, activated sludge process, filteration, and chlorination.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Unani Medicines, Warm e Tajaweef-e-Anf Muzmin, CRS, Paranasal sinuses Ustukhuddus, Aslus-soos, Gul e Banafsha, Zofa e Khushk.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Cooperative Learning, Learning together, Academic Achievement, Mathematics

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Creative Commons Attribution 4.0 and The Open Definition

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DEVELOPMENT OF LINEN AND BAMBOO FABRICS FOR THE APPLICATION OF TODA EMBROIDERY

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Creative Commons Attribution 4.0 and The Open Definition

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Toda Embroidery, Bamboo Fabrics, Linen Fabrics, Mock Leno Weave, basket weave.

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Creative Commons Attribution 4.0 and The Open Definition

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The objective of this study is to analyze the financial performance of The Kozhikode District Co-operative Bank Ltd using CAMELS rating analysis approach. The financial performance of the bank is examined over the period of last 5 financial years from 2011-2012 to 2015-2016. It is revealed that KDC bank is in strong position on their composite rating system and is basically sound in capital adequacy, asset quality, management efficiency, earning capacity and liquidity position.

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KDC Bank, CAMELS rating analysis, financial ratios analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The proposed work deals with simulation of a classical voltage source inverter fed adjustable speed drive system. A classical voltage source inverter fed speed drive system is simulated and the corresponding results are presented. The simulation results of voltage, current, speed and FFT spectrums are presented. FFT spectrums for the outputs are analyzed to study the reduction in Total Harmonic Distortion (THD) of the inverter system.

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THD, Induction motor, classical inverter, Multilevel inverter, Matlab Simulink.

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Sustainable power source assets (RES) are in actuality dynamically related in spread systems utilizing power electronic converters. This paper presents a novel control methodology for finishing most extraordinary favorable circumstances from these grid-interfacing inverters when presented in 3-phase 4-wire course systems. The inverter is controlled to execute as a multi-work device by intertwining dynamic power filter value. The inverter would in this manner have the capacity to be utilized as: 1) Power converter to implant power created from RES to the grid, and 2) shunt APF to compensate current unbalance, stack current sounds, stack open power demand and load impartial current. These limits may be master either solely or in the meantime. With such a control, the mix of grid-interfacing inverter and the 3-phase 4-wire direct/non-straight unbalanced load at motivation behind typical coupling appears as balanced direct load to the grid. This new control thought is appeared with expansive MATLAB/Simulink reenactment considers and affirmed through automated banner processor-based lab exploratory results.

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 Keywords

Active power filter (APF), passed on age (DG), spread system, grid interconnection, power quality (PQ), sustainable power source.

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 Abstract

Security and access control issues are main obstacles for wide application of cloud computing. To ensure security for data we construct an efficient user revocation CP-ABE scheme through improving the scheme and prove our scheme is secure from chosen plain text attack CPA secure under the selective mod-el. To solve security issue, we embed a certificate into each user’s private key. In this way, each user’s group secret key is different from others and bound to-gether with his private key associated with attributes. To reduce users’ computation burdens, we introduce two cloud service providers named encryption -cloud service provider (E-CSP) and decryption-cloud service provider (D-CSP). The duty of E-CSP is to perform outsourced encryption operation and D-CSP is to perform outsourced decryption operation. We extended the System security by adding One Time Password to the System while downloading the file and to overcome burden of Trusted Authority we Created Multiple Trusted Authorities to handle the requests.

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Efficient Revocable Data Access Control with Multiple Trusted Authorities and CSP’s in Cloud

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 Abstract

Cyber Defense shows that the depth of resistance is always important for the protection of applications, it is a big problem for many applications. Recently, to deal with the problem of cloud storage, audit setting and significant proposed study. Challenges, to cope with the current solution for mobile phones, especially when the customer will essentially be able to calculate such resources, bring them to the customer who will be updated with the new position of load of their secret essential key. The period of time is limited, as is. In this paper, we will be able to offer a new paradigm focus on cloud storage as possible to outsourcing customer and key updates, key updates to transparent audit. In this paradigm, it is important, then you can be efficient out of the safe party, and important updates to customer load will be minimized. TPA with our design, all legal actions of the customer, the customer is required to hold an encrypted version of a secret key. TPA secret key from encrypted download, upload new files to cloud client. In addition, the validity of our design to verify the encrypted secret key is fitted to customers with the ability to deliver TPA. Transparent resistance as possible with important performance features of the audit process, carefully designed tomake the customer. We include a formal security model definition and parameters. Safety instantiations that showcase on our detailed design and simulation shows are safe and effective performance. We further extended the system by adding concept group file sharing with read and write permissions and revoke user concept

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A Security Based Key Update File Sharing In Groups with Revoke Users in Cloud

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 Abstract

Cloud computing allows the users to outsource their data using cloud storage servers in order to reduce the economic cost. Cloud computing and storage solutions provide users and enterprises to store and process their data in third-party data centers that may be located far from the user– ranging in distance from across a city to across the world. Encryption is a potential way to protect the confidentiality of the outsourced data, but it also introduces much difficulty to performing effective searches over encrypted information. Although traditional searchable encryption scheme, Public key Encryption with Keyword Search (PEKS), allow users to securely search over encrypted data through keywords, these techniques support only boolean search. Unfortunately, it is demonstrated that the customary PEKS framework suffers from an inalienable insecurity called inside Keyword Guessing Attack (KGA) launched by the malevolent server. To address this security vulnerability, it is proposed a new PEKS framework named Dual-Server PEKS (DSPEKS) with data consistency through TPA in cloud.

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A Reliable Dual Server Public-Key Encryption with Data Consistency in Cloud

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 Abstract

Recent studies have shown that moderate to high data redundancy clearly exists in primary storage systems in the Cloud. Our experimental studies reveal that data redundancy exhibits a much higher level of intensity on the I/O path than that on disks due to the relatively high temporal access locality associated with small I/O requests to redundant data. On the other hand, we also observe that directly applying data deduplication to primary storage systems in the Cloud will likely cause space contention in memory and data fragmentation on disks. Based on these observations, we propose a Performance-Oriented I/O DE duplication approach, called POD, rather than a capacity-oriented I/O deduplication approach, represented by iDedup, to improve the I/O performance of primary storage systems in the Cloud without sacrificing capacity savings of the latter. The salient feature of POD is its focus on not only the capacity-sensitive large writes and files, as in iDedup, but also the performance-sensitive while capacity-insensitive small writes and files. The experiments conducted on our lightweight prototype implementation of POD show that POD significantly outperforms iDedup in the I/O performance measure by up to 87.9% with an average of 58.8%. Moreover, our evaluation results also show that POD achieves comparable or better capacity savings than iDedup. We further extended by adding the concept of data dynamics, Ranking, and providing security to file sharing.

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Secure Authorized De Duplication for Primary Storage System In Cloud

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 Abstract

A SECURED CDA GENERATION HEALTH INFORMATION EXCHANGE IN CLOUD WITH PROXY RE ENCRYPTION

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A Secured CDA Generation Health Information Exchange in Cloud With Proxy Re Encryption

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 Abstract

Regardless of late advances in appropriated RDF information administration, preparing cosmically massive measures of RDF information in the cloud is still extremely difficult. Notwithstanding its apparently basic information show, RDF genuinely encodes rich and involute diagrams commixing both occurrence and construction level information. Sharing such information using established methods or dividing the diagram using conventional min-slice calculations prompts exceptionally wasteful appropriated operations and to a high number of joins. In this paper, we portray DiploCloud, an effective and versatile conveyed RDF information administration framework for the cloud. As opposed to forerunner approaches, DiploCloud runs a physiological examination of both occasion and pattern data before dividing the information. In this paper, we depict the design of DiploCloud, its primary information structures, and in addition the beginning calculations we use to segment and disperse information. We also display a broad assessment of DiploCloud showing that our framework is regularly two requests of greatness more speedy than cutting edge frameworks on standard workloads. We further extended the system by adding data dynamics (update, delete)and data de-duplication

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A Scalable RDF Data Management with De-duplication and Data Dynamics in Cloud

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