International Journal of Science Engineering and Advance Technology (IJSEAT)
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    1075 research outputs found

    Reduced index size and improve crs efficiency in road networks

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    ABSTRACT: We examine the difficult of clue-based route search (CRS), which allows a user to provide clues on keywords and spatial relationships. First, we propose a greedy algorithm and a dynamic programming algorithm as baselines. To improve efficiency, we develop a branch-and-bound algorithm that prunes unnecessary vertices in query processing. In order to quickly locate candidate, we propose an AB-tree that stores both the distance and keyword information in tree structure. To further reduce the index size, we construct a PB-tree by utilizing the virtue of 2-hop label index to pinpoint the candidate

    Twitter Spam Detection Using Hybrid Method

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    We present a half breed approach for perceiving automated spammers by amalgamating system based features with other component classes, to be explicit metadata-, content-, and affiliation based features. The peculiarity of the proposed approach lies in the portrayal of customers subject to their relationship with their disciples given that a customer can evade incorporates that are related to his/her very own activities, anyway avoiding those reliant on the enthusiasts is problematic. Nineteen special features, including six as of late portrayed features and two renamed features, are perceived for learning three classifiers, specifically, self-assertive boondocks, decision tree, and Bayesian framework, on a veritable dataset that contains charitable customers and spammers. The partition force of different component classes is furthermore analyzed, and association and system based features are made plans to be the best for spam ID, however metadata-based highlights are demonstrated to be the least powerful

    Health Monitoring for Overtime Usage of Social Media

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    We are keen on utilizing online life to screen individuals' wellbeing after some time. The utilization of tweets has a few advantages including prompt information accessibility at practically no expense. Early checking of wellbeing information is correlative to post-factum thinks about and empowers a scope of utilizations, for example, estimating conduct hazard factors and activating wellbeing efforts. We detail two issues: wellbeing progress recognition and wellbeing change expectation. We initially propose the Temporal Ailment Topic Aspect Model (TM–ATAM), another idle model devoted to taking care of the main issue by catching advances that include wellbeing related points. TM–ATAM is a non-clear expansion to ATAM that was intended to remove wellbeing related themes. It learns wellbeing related point advances by limiting the forecast blunder on theme appropriations between continuous posts at various time and geographic granularities. To take care of the subsequent issue, we create T–ATAM, a Temporal Ailment Topic Aspect Model where time is treated as an irregular variable locally inside ATA

    Mobile cloud computing system using Lightweight Secure Data Sharing Scheme

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    We propose a lightweight data sharing scheme (LDSS) for mobilecloud computing. It receives CP-ABE, an entrance control innovation utilized in typical cloud condition, yet changes the structure of access control tree to make it appropriate for mobile cloud situations. LDSS moves a substantial bit of the computational serious access control tree change in CP-ABE from cell phones to outer intermediary servers. Moreover, to lessen the client revocation cost, it introduces attribute description fields to implement lazy-revocation, which is a thorny issue in program based CP-ABE systems

    Improving time efficiency to get frequent item sets on trasactional data

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    Frequent item set mining (FIM), as a vital advance of affiliation rule investigation is getting to be a standout amongst the most critical research fields in information mining. FIM generally utilized in the field of accuracy showcasing, customized suggestion, arrange advancement, restorative analysis, etc. Weighted FIM in unsure information bases should consider both existential probability and significance of things so as to discover Frequent item sets of incredible significance to Users. The weighted incessant item sets not fulfill the descending conclusion property any more. The search space of frequent item sets can't be limited by descending conclusion property which prompts a poor time proficiency. The Weight judgment descending conclusion property-based FIM (WD-FIM) algorithm is proposed to limit the searching space of the weighted frequent item sets and improve the time effectiveness. The development of division was bolstered by headways in innovation. The move into computerized empowered a simpler catch and maintenance of information while progressively effective information bases encouraged the ease of use of that information

    Efficient enhanced routing algorithm to find Optimal path in multi-hop network

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    ABSTRACT: We consider a single source that imparts to a single goal helped by a few transfers through various hops. At each hop, just a single node transmits, while the various nodes get the transmitted flag, and store it subsequent to processing/decoding and blending it with the signs got in past hops. That is, we think about that terminals utilize propelled energy gathering transmission/gathering procedures, for example, maximal proportion joining gathering of redundancy codes, or data collection with rateless codes. Aggregate strategies increment correspondence dependability, diminish energy utilization, and abatement inertness. We examine the properties that a directing measurement must fulfill in these collective networks to ensure that ideal ways can be processed with Dijkstra's algorithm. We display the issue of directing in collective multi-hop networks, as the issue of steering in a hypergraph. We demonstrate that optimality properties in a conventional multi-hop organize (monotonicity and isotonicity) are never again valuable and determine another arrangement of adequate conditions for optimality

    Fragmentation and Replication Using Drops Methodology

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    Cloud computing is one of the most prominent service for  remote accessing of data that practice of using a network of remote servers hosted on the internet to store, manage and process data, rather than a local server or a personal computer. For state individuality of cloud computing make it a prominent candidate for businesses, organizations, and individual users for acceptance. We cooperatively loom the issue of security and presentation as a secure data replication trouble. We present Division and Replication of Data in the Cloud for Optimal Performance and Security (DROPS) that sensibly fragments user files into portions and replicates them at tactical locations within the cloud. The consequences of the reproduction exposed that the immediate meeting point on the safety and presentation, resulted in augmented security level of data escort by a minor presentation fall

    The Efficient and probabilistic symmetric searchable encryption scheme in Cloud

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    Cloud have enormous storage space for storing immense size of data. Data owner redistribute their data substance on cloud server. Cloud server can have enormous storage space. In this paper, data client demand for data to the cloud server. Data owner produce encryption key for each datum client which mentioned for data files. Because of this, data stays secure and precise data may looked by semantic pursuit. Additionally the data spillage is limited because of the cloud storage framework. Calculation can be utilized for encryption system. Key age is performed by data administrator for protection safeguarding. Presently multi day's there will develop prominence of cloud computing, huge number of clients and data proprietors are spurred to re-appropriate their data to cloud servers for enormous comfort and decreased cost required for data the board. Be that as it may, significant data ought to be scrambled before redistributing for security necessities, which uses data use strategy like watchword based archive recovery. Accessible encryption is of extending energy for guaranteeing the data assurance in secure accessible circulated storage. In this paper, we explore the security of a remarkable cryptographic crude, specifically, open key encryption with watchword search which is incredibly significant in various uses of cloud storage

    Enhanced method to detect spammers in social network

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    We present a hybrid methodology for recognizing computerized spammers by amalgamating network based highlights with other element classifications, specifically metadata-, content-, and collaboration based highlights. The curiosity of the proposed methodology lies in the portrayal of clients dependent on their associations with their devotees given that a client can sidestep includes that are identified with his/her own exercises, however sidestepping those dependent on the adherents is troublesome. Nineteen different features, including six newly defined features and two redefined features, are identified for learning three classifiers, namely, random forest, decision tree, and Bayesian network, on a real dataset that comprises benign users and spammers. The separation intensity of various element classes is likewise broke down, and association and network based highlights are resolved to be the best for spam recognition, though metadata-based highlights are ended up being to be the least viabl

    A Simulation Based Study on Heat Dissipation In Ventilated Break Disk

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    Braking system is one of the significant security parts of a vehicle. It is for the most part used to decelerate vehicles from an underlying rate to a given speed. A A friction based braking system is a common device is a typical gadget to change over kinetic energy  into thermal energy through a grating between the brake cushions and the rotor faces. Since high temperatures can prompt overheating of the brake liquid, seals and different segments, the halting ability of a brake increments with the rate at which heat is scattered because of constrained convection and thermal limit of the system.   In this present work thermal investigation of ventilated circle brakes is examined by differing the vent geometry so as to expand the heat dispersal with a prospect to build the plate life and diminish the opportunity of disappointment because of thermal load without irritating the auxiliary figures. Ansys multi-material science is utilized for examination and Catia is utilized for modeling

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    International Journal of Science Engineering and Advance Technology (IJSEAT)
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