free download mini projects in asp.net using c# with source code
This category consists of projects in asp.net developed using C# programming language. C sharp or C# programming language is mostly used language for developing web based applications. Most of the web portal, software management, online communication systems projects use asp.net platform and C# programming language.
Here you can download projects in asp.net using C# along with source code, project reports and paper presentation(PPT).
You can find more C# projects under C# projects category.
Abstract
This paper addresses the problem of delivering data packets for highly dynamic mobile ad hoc networks in a reliable and timely manner. Most existing ad hoc routing protocols are susceptible to node mobility, especially for large-scale networks. Driven by this issue, we propose an efficient Position-based Opportunistic Routing (POR) protocol which takes advantage of the stateless property of geographic routing and the broadcast nature of wireless medium. When a data packet is sent out, some of the neighbour nodes that have overheard the transmission will serve as forwarding candidates, and take turn to forward the packet if it is not relayed by the specific best forwarder within a certain period of time. By utilizing such in-the-air backup, communication is maintained without being interrupted. The additional latency incurred by local route recovery is greatly reduced and the duplicate relaying caused by packet reroute is also decreased. In the case of communication hole, a Virtual Destination-based Void Handling (VDVH) scheme is further proposed to work together with POR. Both theoretical analysis and simulation results show that POR achieves excellent performance even under high node mobility with acceptable overhead and the new void handling scheme also works well..............
" PLEASE SEND ME SOURCE CODE IF POSSIBLE SEND ME SNAPSHOT
Posted by: Sasi Kala - 02-21-2014, 12:30 PM - Forum: Project
- No Replies
we propose a new secure and privacy-preserving opportunistic computing framework, called SPOC. We introduce an efficient usercentric privacy access control in SPOC framework, which is based on an attribute-based access control and a new privacy-preserving scalar product computation (PPSPC) technique, and allows a medical user to decide who can participate in the opportunistic computing to assist in processing his great PHI data.
Posted by: Bilal Butt - 02-21-2014, 05:33 AM - Forum: Project
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i want an application of software as a service using windows azure and visual studio...
e.g..just like a cyber cafe system...
by making a website and using windows azure platform to entertain multiple user at a time...
processing will be done on windows azure platform...
by keeping these features in consideration provide me an application...thank you very much...........
BCA and MCA students who are looking for final year mini and major projects in asp.net, java, vb.net, php, c, with project reports and documentation can download all files for free of cost. Students can submit college project.
MCA, BCA, B.Sc CS, B.Sc IT, B.Tech IT, Btech CS or BE IT, BE CS, BSc CIS, , BSE CS M.Sc. IT, MSc IT or MBA IT , BIT, ADIT, ME, MTech, MBA IT, MSIT, , BSIT or MSIS, BSC-CS BSC-IT Project seekers Student. If it is your last semester then you must be preparing for your MCA final year projects. You must be thinking on which topic I must develop my final year Project, is it good to develop MCA last year project in PHP or it is good to develop Final year Project in ASP.NET or in JAVA.
Personal health record (PHR) is an emerging patient-centric model of health information exchange, which is often outsourced to be stored at a third party, such as cloud providers. However, there have been wide privacy concerns as personal health information could be exposed to those third party servers and to unauthorized parties. To assure the patients’ control over access to their own PHRs, it is a promising method to encrypt the PHRs before outsourcing. Yet, issues such as risks of privacy exposure, scalability in key management, flexible access and efficient user revocation, have remained the most important challenges toward achieving fine-grained, cryptographically enforced data access control. In this paper, we propose a novel patient-centric framework and a suite of mechanisms for data access control to PHRs stored in semi-trusted servers. To achieve fine-grained and scalable data access control for PHRs, we leverage attribute based encryption (ABE) techniques to encrypt each patient’s PHR file. Different from previous works in secure data outsourcing, we focus on the multiple data owner scenario, and divide the users in the PHR system into multiple security domains that greatly reduces the key management complexity for owners and users. A high degree of patient privacy is guaranteed simultaneously by exploiting multi-authority ABE. Our scheme also enables dynamic modification of access policies or file attributes, supports efficient on-demand user/attribute revocation and break-glass access under emergency scenarios. Extensive analytical and experimental results are presented which show the security, scalability and efficiency of our proposed scheme.
Sentiment analysis focuses on the analysis and understanding of the emotions from the text patterns. It identifies the opinion or attitude that a person has towards a topic or an object and it seeks to identify the viewpoint underlying a text span. The sentiment analysis calculates the overall feeling or mood of consumers as reflected in social media toward a specific brand or company and determine whether they are viewed positively or negatively. This involves high cost in labor and time. The result predicted are not accurate and efficient. To avoid the time complexity and accuracy, the fuzzy classification algorithm with Natural Language Processing (NLP) Mechanism is used. NLP is used for POS-Tagging and parsing simultaneously. The proposed method has the sentence tokenize for different languages for the better accuracy and uses the feature extraction for most frequently occurring words in the corpus as polarity indicators. This proposed approach combines the natural language processing and fuzzy classification to improve the accuracy of sentiment prediction and reduce the space and time complexity by using stop word removal and stemming algorithm. A new algorithm called Sentiment Fuzzy Classification algorithm with parts of speech tags is used to improve the classification accuracy on the student staff feedbacks.(ie.., to classify the feedback given to staff ) and view it in graph format.
