Smartphone Based Online Super Market System Abstract? To develop an online super market prototype selling mainly product on the Internet. The website Includes both A front-end Portal for customers, and a back-end management system used by system administrators to manage the website in the background. It describes the complete process of selling a different type…
Smartphone Based Student Result Processing System with Voice Narration Abstract?Current exam activities are mostly done on paper. Automated solutions using this system will make exam department activities more efficient by covering for the most important drawbacks of manual system, namely speed, precision and simplicity. A centralized system will ensure that the activities in the context…
Smartphone-Based Wound Assessment System for Patients With Diabetes Abstract? Smartphone-Based Wound Assessment System for Patients With Diabetes. Diabetic foot ulcers represent a significant health issue. Currently, clinicians and nurses mainly base their wound assessment on visual examination of wound size and healing status, while the patients themselves seldom have an opportunity to play an active…
Smartphones Based Crowdsourcing for Indoor Localization Abstract? Smartphones Based Crowdsourcing for Indoor Localization. Indoor localization is of great importance for a range of pervasive applications, attracting many research efforts in the past decades. Most radio-based solutions require a process of site survey, in which radio signatures of an interested area are annotated with their real…
Tag Completion for Image Retrieval Abstract? Smile detection in face images captured in unconstrained real-world scenarios is an interesting problem with many potential applications. This paper presents an efficient approach to smile detection,< Final Year Projects > in which the intensity differences between pixels in the grayscale face images are used as features. We adopt…
SMS Classification Based on Na?ve Bayes Classifier and Apriori Algorithm Frequent Itemset Abstract?SMS Classification Based on Na?ve Bayes Classifier and Apriori Algorithm Frequent Itemset. In this paper, we propose a novel semi-supervised methodology to detect spam or ham SMSs, using frequent item set mining algorithm Apriori, probabilistic model Naive Bayes and ensemble learning. This paper…
Snort Port Scan Abstract? Snort Port Scan. Cloud Computing is becoming a promising technology for processing a huge chunk of data. Hence, its security aspect has drawn the attentions of researchers and academician. The security of the cloud environment must be reliable as well as scalable. The cloud environment is vulnerable to many security attacks….
Social cloud compute:Allocating and sharing Infrastructure resources via social networks Abstract?With the increasingly ubiquitous nature of Social networks and Cloud computing, users are exploring new ways to interact with, and exploit these paradigms. Social networks are used to reflect real world relationships that allow users to share information and form connections between one another. Leveraging…
Social Recommendation with Cross-Domain Transferable Knowledge Abstract? Social Recommendation with Cross-Domain Transferable Knowledge. Recommender systems can suffer from data sparsity and cold start issues. However, social networks, which enable users to build relationships and create different types of items, present an unprecedented opportunity to alleviate these issues. In this paper, we represent a social network…
Social-Aware Video Multicast Based on Device-to-Device Communications Abstract? Social-Aware Video Multicast Based on Device-to-Device Communications. To meet the explosive demand on delivering high-de?nition video steams over cellular networks, we design a Social-aware video multiCast < SoCast > system leveraging device-to-device (D2D) communications. One salient feature of SoCast is to stimulate effective cooperation among mobile users…
Software Puzzle: A Countermeasure to Resource-Inflated Denial-of-Service Attacks Abstract? Software Puzzle: A Countermeasure to Resource-Inflated Denial-of-Service Attacks. Denial-of-service (DoS) and distributed DoS < Final Year Projects 2016 > DDoS are among the major threats to cyber-security, and client puzzle, which demands a client to perform computationally expensive operations before being granted services from a server,…
Soil Classification Using Data Mining Techniques: A Comparative Study Abstract? Soil Classification Using Data Mining Techniques: A Comparative Study. Data driven approaches are gaining popularity in the field of condition monitoring due to their knowledge based fault identification < Final Year Projects > capability for wide range of motor operation. Particularly the method, based on…