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Updates found with 'linear relationship'

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Updates found with 'linear relationship'

JAVA PROJECTS ABSTRACT 2016-2017 A LOCALITY SENSITIVE LOW-RANK MODEL FOR IMAGE TAG COMPLETION ABSTRACT: Tag-based image retrieval often used to increase performance to retrieving images with the help of search engines. Image retrieval based on user-provided image tags on the photo sharing websites. A requirement for effective searching and retrieval of images in rapid growing online image databases is that each image has accurate and useful annotation. Many visual applications have benefited from the outburst of web images, yet the imprecise and incomplete tags arbitrarily provided by users. In this paper, we propose a novel locality sensitive low-rank model for image tag completion, which approximates the global nonlinear model with a collection of local linear models. To effectively infuse the idea of locality sensitivity, a simple and effective pre-processing module is designed to learn suitable representation for data partition.In thi paper they used for BIRCH algorithm. BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets.An advantage of BIRCH is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, BIRCH only requires a single scan of the database.Existing SystemThe user-labeled visual data, such as images which are uploaded and shared in Flickr, are usually associated with imprecise and incomplete tags. This will pose threats to the retrieval or indexing of these images, causing them difficult to be accessed by users. Unfortunately, missing label is inevitable in the manual labeling phase, since it is infeasible for users to label every related word and avoid all possible confusions, due to the existence of synonyms and user preference. Therefore, image tag completion or refinement has emerged as a hot issue in the multimedia community.Many visual applications have benefited from the outburst of web images, yet the imprecise and incomplete tags arbitrarily provided by users, as the thorn of the rose, may hamper the performance of retrieval or indexing systems relying on such data.Proposed SystemTo effectively infuse the idea of locality sensitivity, a simple and effective pre-processing module is designed to learn suitable representation for data partition, and a global consensus regularizer is introduced to mitigate the risk of overfitting. Meanwhile, low-rank matrix factorization is employed as local models, where the local geometry structures are preserved for the low-dimensional representation of both tags and samples. Extensive empirical evaluations conducted on three datasets demonstrate the effectiveness and efficiency of the proposed method, where our method outperforms pervious ones by a large margin.Advantages• We propose a locality sensitive low-rank model for image tag completion, which approximates the global nonlinear model with a collection of local linear models, by which complex correlation structures can be captured. • Several adaptations are introduced to enable the fusion of locality sensitivity and low-rank factorization, including a simple and effective pre-processing module and a global consensus regularizer to mitigate the risk of overfitting.Disadvantages• image tag completion or refinement has emerged as a hot issue in the multimedia community.• The existing completion methods are usually founded on linear assumptions, hence the obtained models are limited due to their incapability to capture complex correlation patterns.System RequirementsH/W System Configuration:-Processor - Pentium –IIISpeed - 1.1 GhzRAM - 256 MB(min)Hard Disk - 20 GBKey Board - Standard Windows KeyboardMouse - Two or Three Button MouseMonitor - SVGA S/W System Configuration Operating System :Windows95/98/2000/XP  Application Server : Tomcat5.0/6.X  Front End : HTML, Java, Jsp Scripts : JavaScript. Server side Script : Java Server Pages. Database Connectivity : Mysql.Conclusion In this paper we propose a locality sensitive low-rank model for image tag completion. The proposed method can capture complex correlations by approximating a nonlinear model with a collection of local linear models. To effectively integrate locality sensitivity and low-rank factorization, several adaptations are introduced, including the design of a pre-processing module and a global consensus regularizer. Our method achieves superior results on three datasets and outperforms pervious methods by a large margin.
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JAVA/DOT NET PROJECTS ABSTRACT 2016-2017 ATTRIBUTE-BASED ACCESS CONTROL WITH CONSTANT SIZE CIPHER-TEXT IN CLOUD COMPUTING : ABSTRACT: With the popularity of cloud computing, there have been increasing concerns about its security and privacy. Since the cloud computing environment is distributed and untrusted, data owners have to encrypt outsourced data to enforce confidentiality. Therefore, how to achieve practicable access control of encrypted data in an untrusted environment is an urgent issue that needs to be solved. Attribute-Based Encryption (ABE) is a promising scheme suitable for access control in cloud storage systems. This paper proposes a hierarchical attribute-based access control scheme with constant-size ciphertext. The scheme is efficient because the length of ciphertext and the number of bilinear pairing evaluations to a constant are fixed. Its computation cost in encryption and decryption algorithms is low. Moreover, the hierarchical authorization structure of our scheme reduces the burden and risk of a single authority scenario. We prove the scheme is of security under the decisional q-Bilinear Exponent assumption. In addition, we implement our scheme and analyse its performance. The analysis results show the proposed scheme is efficient, scalable, and fine-grained in dealing with access control for outsourced data in cloud computing. EXISTING SYSTEM: Though there exist ABE schemes with constant cipher text size and/or constant number of pairing operations in decryption, their access structures are restricted to AND gates or threshold gates which severely limit their practical applications. To overcome this problem, suggested outsourcing decryption in attribute-based encryption. Their verification model suffers from the attack as existed in security model . PROPOSED SYSTEM: A promising approach to address this issue is attribute-based encryption (ABE), first proposed by Sahib and Waters. ABE schemes can be divided into two categories: Cipher text-Policy ABE (CP-ABE) and Key-Policy ABE (KP-ABE), depending on the access policy is embedded into the cipher text or the user’s private key.Proposed a simple method to adapt their RCCA (repayable chosen-cipher text attack) systems to such a setting formalized a security model for capturing the modification in an outsourced ABE system and proposed a concrete construction with verifiable outsourced decryption. We provide formal proofs of the (selective) chosen-plaintext security and the verifiability in the standard model, which is a slight modification of the security model first proposed in for verifiable outsourced ABE. We present an instantiation of our generic construction based on the outsourced ABE system proposed in which is in turn based on Waters CP-ABE scheme. We begin by introducing some basic notations used in the instantiation. SYSTEM SPECIFICATION Hardware Requirements: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 14’ Colour Monitor. • Mouse : Optical Mouse. • Ram : 512 Mb. Software Requirements: • Operating system : Windows 7 Ultimate. • Coding Language : ASP.Net with C# • Front-End : Visual Studio 2010 Professional. • Data Base : SQL Server 2008. CONCLUSION: Secure sharing of data plays an important role in cloud computing. Attribute-based access control can real size data confidentiality in the un trusted environment of server-end, fine-grained access control and large-scale dynamic authorization which are the difficult problems to solve the traditional access control. This paper proposes a structure of hierarchical attribute authority based on cloud computing which reduces the burden and disperses the risk of the single authority. The proposed scheme adopts CP-ABE with constant-size cipher text that solves the problem of the cipher text size depending linearly on the number of attributes. Our scheme can maintain the size of cipher text and the computation of encryption and decryption at a constant value. Therefore, the scheme can improve the efficiency of the system. We have performed some numerical simulation and the testing results are coincident with the theoretical analysis. In addition, we prove the scheme is of security under the Bilinear Exponent assumption. We also demonstrate an application model in a distributed cloud environment. This shows our scheme has good adaptability and scalability in cloud computing. In further research, we intend to focus on making the CP-ABE algorithm simpler and more efficient along with making it even more suitable for access control in a cloud environment.
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IEEE 2016 -2017 BIG DATA ANDROID DOTNET JAVA TITLESBIG DATA1. FiDoop: Parallel Mining of Frequent Itemsets Using MapReduce.ss2. Self-Healing in Mobile Networks with Big Data.ANDROID1. An Exploration of Geographic Authentication Schemes.2. Intelligent Hands Free Speech based SMS System on Android.3. PassBYOP: Bring Your Own Picture for Securing Graphical Passwords.4. Privacy-Preserving Location Sharing Services for Social Networks.5. SBVLC: Secure Barcode-based Visible Light Communication for Smartphones.6. A Shoulder Surfing Resistant Graphical Authentication System.7. A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies.8. STAMP: Enabling Privacy-Preserving Location Proofs for Mobile Users.9. Understanding Smartphone Sensor and App Data for Enhancing the Security of Secret Questions..NET1. Attribute-based Access Control with Constant-size Ciphertext in Cloud Computing.2. Attribute-Based Data Sharing Scheme Revisited in Cloud Computing3. Catch You if You Misbehave: Ranked Keyword Search Results Verification in Cloud Computing4. CDStore: Toward Reliable, Secure, and Cost-Efficient Cloud Storage via Convergent Dispersal5. Cloud workflow scheduling with deadlines and time slot availability6. Dynamic and Public Auditing with Fair Arbitration for Cloud Data7. Dynamic Proofs of Retrievability for Coded Cloud Storage Systems8. Enabling Cloud Storage Auditing with Verifiable Outsourcing of Key Updates9. Identity-Based Encryption with Cloud Revocation Authority and Its Applications10. Identity-Based Proxy-Oriented Data Uploading and Remote Data Integrity Checking in Public Cloud11. MMBcloud-tree: Authenticated Index for Verifiable Cloud Service Selection12. Prioritization of Overflow Tasks to Improve Performance of Mobile Cloud13. Providing User Security Guarantees in Public Infrastructure Clouds14. Publicly Verifiable Inner Product Evaluation over Outsourced Data Streams under Multiple Keys15. Reversible Data Hiding in Encrypted Images by Reversible Image Transformation16. Searchable Attribute-Based Mechanism with Efficient Data Sharing for Secure Cloud Storage17. Secure Data Sharing in Cloud Computing Using Revocable-Storage Identity-Based Encryption18. Service Usage Classification with Encrypted Internet Traffic in Mobile Messaging Apps19. Shadow Attacks based on Password Reuses: A Quantitative Empirical Analysis20. A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets DetectionJAVA1. A Locality Sensitive Low-Rank Model for Image Tag Completion2. A Shoulder Surfing Resistant Graphical Authentication System3. DeyPoS: Deduplicatable Dynamic Proof of Storage for Multi-User Environments4. Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search5. KSF-OABE: Outsourced Attribute-Based Encryption with Keyword Search Function for Cloud Storage6. Mining User-Aware Rare Sequential Topic Patterns in Document Streams7. Mitigating Cross-Site Scripting Attacks with a Content Security Policy8. Practical Approximate k Nearest Neighbor Queries with Location and Query Privacy9. Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases10. SecRBAC: Secure data in the Clouds11. Tag Based Image Search by Social Re-rankingCLOUD COMPUTING1. Cost Minimization for Rule Caching in Software Defined Networking.2. Performance Enhancement of High-Availability Seamless Redundancy (HSR) Networks Using OpenFlow.3. Data Plane and Control Architectures for 5G Transport Networks.4. HBD: Towards Efficient Reactive Rule Dispatching in Software-Defined Networks.5. SDN-based Application Framework for Wireless Sensor and Actor Networks.6. Geo-Social Distance-based Data Dissemination for Socially Aware Networking.7. An Open-Source Wireless Mesh Networking Module for Environmental Monitoring.8. Hybrid IP/SDN networking: open implementation and experiment management tools.9. Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges.10. Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System.NETWORK SECUIRTY1. Collaborative Network Security in Multi-Tenant Data Center for Cloud Computing.DATA MINING1. Systematic Determination of Discrepancies Across Transient Stability Software Packages.2. Identification of Type 2 Diabetes Risk Factors Using Phenotypes Consisting of Anthropometry and Triglycerides based on Machine Learning.3. Teaching Network Security With IP Darkspace Data.4. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection.5. Mining High Utility Patterns in One Phase without Generating Candidates.6. An Improved String-Searching Algorithm and Its Application in Component Security Testing.
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POWER ELECTRONICS ABSTRACT 2016-2017 A DC- VOLTAGE VARIABLE CAPACITOR FOR STABILIZING THE ZVS FREQUENCY OF A RESONANT CONVERTER FOR WIRELESS POWER TRANSFER ABSTRACT: Varators are often used in PLL (phase locked loop) circuits for dynamic frequency control. However, the voltage and current ratings of varactors are too low to be used in most power electronic circuits. This paper proposes a transistor controlled variable capacitor (TCVC), which functions similar to varactors in that its equivalent capacitance can be controlled by a DC voltage. However, the TCVCcan handle high voltages and currents so that it can be used in DC-AC power converters of Wireless Power Transfer (WPT) systems such as an autonomous push pull resonant converter to adjust its ZVS (zero voltage switching) frequency so that the operating frequency of the system can be stabilized to simplify the circuit and EMI filter design particularly for WPT systems with multiple power pickups, while maintaining soft-switching operation of the converter against magnetic coupling and load variations. The relationship between the equivalent capacitance of the TCVCand the DC control voltage is developed by theoretical analysis and verified by experimental results. A prototype circuit is built with a PLL controller to demonstrate that the soft-switching condition of the converter is maintained when the operating frequency is locked in at 1.65MHz under load and magnetic coupling variations.
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