International Journal of Science Engineering and Advance Technology (IJSEAT)
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A new Adaptation in Bridgeless Interleaved Power Factor Correction design for High Efficiency
Get PDFSeeking the requirements of world’s energy conversions, developments are tracked. The research and development of the AC-DC conversion circuit for variable frequency control, which is closely related to human life. It uses the bridgeless rectifier circuit, coupled with the Interleaved Boost and “PFC” (Power Factor Correction) technology to design a high-efficiency AC/DC conversion circuit, to provide a load of 400V, 2KW. The system efficiency can reach up to 96%. The power factor is close to 1, the input current ripple is below 0.8A and the output voltage ripple is below 6V. This paper presents the comparison of various current control techniques employed for a bridgeless interleaved boost converter for improving the power quality. The major control strategies discussed in this paper are: peak current, average current mode and borderline current control
Harmonic Compensation of Distribution generation Using Photovoltaic Interfacing Inverter
Get PDFNormally increasing utilization of electronic devices in homes leads the researchers to concentrate on harmonic problem Besides the degrading power quality, the harmonic current flow may interfere with the adjacent telephone lines. The harmonics in a residential system is difficult because of the dispersed nature of the residential loads. This worktried to improve the power quality using distributed generation system in residential areas. To compensate a harmonics resonance in residential areas, active and passive filters are used in distribution network. To improve the distribution generation (DG) using photovoltaic interface inverter the harmonics was compensated
Ladderal Structure Of Super Resolution With Support Of Inpainting
Get PDFInpainting is the process of reconstructing lost or deteriorated part of images based on the background information. i. e. image Inpainting fills the missing or damaged region in an image utilizing spatial information of its neighboring region.We address the issue in ability deal of image blurring and low resolution. This paper introduces a new examplar-based inpainting framework. A coarse version of the input image is first inpainted by a nonparametric patch sampling. Compared to existing approaches, some improvements have been done (e.g. filling order computation, combination of K nearest neighbours) A hierarchical super-resolution algorithm is then used to recover details on the missing areas. The advantage of this approach is that it is easier to inpaint low-resolution pictures than high-resolution ones. The gain is both in terms of computational complexity and visual quality
An Unprecedented Approach of Detecting and Reporting System of Earthquakes Using Tweet Analysis
Get PDFSocial media has got an exponential growth in recent years. One of the most representative examples is Twitter, which allows users to publish short tweets (messages within a 140-character limit) about “what’s happening”. This paper focuses on detecting those events to have a better understanding of what users are really discussing about in Twitter. Event detection has long been a research topic. The underlying assumption is that some related words would show an increase in the usage when an event is happening. An event is therefore conventionally represented by a number of keywords showing burst in appearance count. In this paper, we investigated the real-time nature of Twitter, devoting particular attention to event detection like earthquake. We developed an earthquake reporting system that extracts earthquakes from Twitter. It is possible to detect an earthquake by monitoring tweets. Our system detects an earthquake occurrence and sends an e-mail, possibly before an earthquake actually arrives at a certain location. This paper is the first of its kind using social media for detecting natural calamities
Establishing a Trust-Worthy Social Authentications
Get PDFAmong the several backup authentication mechanisms, authenticating users with the help of their friends (i.e., trustee-based social authentication) has been shown to be a promising backup authentication mechanism. A user in this system is associated with a few trustees that were selected from the user’s friends. When the user wants to regain access to the account, the service provider sends different verification codes to the user’s trustees. The user must obtain at least k (i.e., recovery threshold) verification codes from the trustees before being directed to reset his or her password. In this paper, we provide the first systematic study about the security of trusteebased social authentications. In particular, we first introduce a novel framework of attacks, which we call forest fire attacks. In these attacks, an attacker initially obtains a small number of compromised users, and then the attacker iteratively attacks the rest of users by exploiting trustee-based social authentications. Then, we construct a probabilistic model to formalize the threats of forest fire attacks and their costs for attackers. Moreover, we introduce various defense strategies. Finally, we apply our framework to extensively evaluate various concrete attack and defense strategies using three real-world social network datasets. Our results have strong implications for the design of more secure trustee-based social authentications
Medical Decision Support Using Machine Learning And Natural Language Processing
Get PDFThe Machine Learning (ML) field has got much attention among the researchers in almost many fields of science and engineering because of it its vast application. The common application areas are medical decision support, medical imaging, protein-protein interaction, extraction of medical knowledge, and for overall patient management care. ML is used as a tool to introduce computer-based systems in the healthcare field in order to get a better, more efficient medical care. In this work Machine Learning and Natural language Processing are used for extracting knowledge from published medical papers. It extracts the sentences that mention diseases and treatments and identifies therelationship between them
Power Maximization of a Photo Voltaic System Using LDRS
Get PDFIn this we have proposed a photovoltaic system connected to the grid (220V/50Hz). The electric system is composed by a charge controller with the DC-DC boost converter is used along the automatic tracking system for further enhancing output power under variable isolation conditions and protecting the battery from being overcharged and over discharged condition. The Boost converter is used to overcome the lower output voltage of solar panel for not fulfilling the minimum charging voltage requirement of the battery thus more power extraction is possible from the solar panel to battery. The system includes a photovoltaic array, three LDRs sensors and a Dc/Ac converter. A maximum-power-point-tracking technique is used to operate in the optimum power condition. The Dc/Ac converter allows the adaptation of the PV system to the grid. The hysteresis technique is used to generate the output current waveform. All the command algorithms are implemented in a microchip microcontroller
Collective Conviction Based Confidentiality Sustain Endorsement Procedure in Cloud Computing
Get PDFCloud computing is consistently growing as a typical for sharing the knowledge over the remote warehousing in a web cloud server. Cloud administrations offers awing enhancements for the purchasers to understand the on-interest cloud applications with no commitments known with data. Amid the knowledge ill , numerous purchasers is also in a pleasant relationship, and henceforward data appropriation gets to be essential. In this paper, we have concentrated on protection protecting confirmation convention (SAPA) to address the said security issue for cloud putting away furthermore attempting to deliver to the effectiveness expanded by this SAPA convention. It likewise assigns that the planned convention acknowledging security safeguarding data access power sharing is most encouraging for multi-client synergistic cloud applications. Amid cloud data aiming to, the consumer independent connects with the cloud server while not outside impedances, and is allotted with the total and autonomous power on their lonesome data fields. it's necessary to confirm that the purchasers' outsourced data cannot be unapproved gotten to by completely different clients, and is of discriminating significance to ensure the non-public knowledge amid the clients' data access challenges. during this paper, we have a tendency to address the antecedently declared security issue to propose a typical power primarily based protection protecting confirmation convention (SAPA) for the cloud data warehousing, that acknowledges verification and approval while not commerce off a client's non-public knowledge. Propose a confirmation convention to upgrade a client's entrance solicitation connected protection, and also the common access power is accomplished by mysterious access solicitation coordinative mechanism
Confidential Data with Safeguard Access Control in distributed Cloud Computing
Get PDFCloud computing is a safeguard technology which means that privileging permissions for the users and stowing of data on world wide web. Mainly cloud computing focus on Protection and mystery represent major concerns in the acceptance of cloud technologies for data insertions . A major issue is how to safe access control policies such that 2 layer encryption can be achieved internally. Solve these problem by using this proposed in the decentralization process in two layer broadcast encryption schema, by eliminate the group manager preliminary unit of the set, with an advantage of the addition of supporting members to the coordination, does not want any central authorization. Our model is represent AES method for secrecy data management purpose and it will provide accuracy data for authorised person only .That person get main key for access the data this key will be produced by key generation algorithm. In this we are having like search engine. This engine defends on cloud previous engines not provide accurate info and also previous technologies provides inaccurate info and secure data retrieved unauthorised also. Our coordination assures the confidentiality of the data and preserves the privacy of users from the cloud although delegating most of the access power enforcement to the cloud. Existing market inclination need Products to be developed at elevated swiftness. To meet those requirements sometimes it requires collaboration between the organizations. Since of the proficient services that are being obtainable by the cloud service providers today, lots of business organizations started compelling advantage of cloud services. Specifically, Cloud computing enables a new form of service in that a service can be realized by components provided by different enterprises or entities in a collaborative manner. Contributing parties are commonly loosely connected and they are responsible for managing and protecting resources/data consign to them. Such situation demands advanced and modern mechanisms for better security and privacy protection of data shared among multiple participating parties. In this, we are presented access control policy. This policy is included priveligation function and accurate info function. Our contribution is mainly focus on assures the confidentiality of the data and preserves the privacy of users
Enhancing inquiry responsive time to discover spatial items with keywords
Get PDFRoutine spatial questions, for example, reach hunt and closest neighbor recovery, include just conditions on objects' geometric properties. Today, numerous cutting edge applications call for novel types of inquiries that plan to discover articles fulfilling both a spatial predicate, and a predicate on their related writings. Right now the best answer for such inquiries depends on the IR2-tree, which, as appeared in this a couple of deficiencies that genuinely affect its proficiency. Roused by this, we build up another access system called the spatial upset record that extends the customary transformed file to adapt to multidimensional information, and accompanies calculations that can answer closest neighbor questions with catchphrases progressively. As checked by examinations, the proposed methods beat the IR2-tree in inquiry reaction time altogether, frequently by a component of requests of extent