Published in 2026
Kirupa.S, Usha Nandhini.S
Blue eyes technology is used to make a computer to understand the human feelings and behavior. It enables the computer to react according to the human emotional level. The goal of blue eyes technology is to react according to the human emotional level. Blue eyes – the system is developed to be the solution for monitoring and recording the operators brain level and their physiological conditions. Human error is one of the most frequent causes for the ecological disaster. The reason is that the monitoring systems concerns with the state of process whereas the human contribution is left unsupervised. It is crucial to assure that the human brain is actively involved in the whole work time period. Now let us go deep about the blue eyes technology.
Blue eyes technology, mobile measuring device, central system unit, hardware.
K.Kanmani, E.Chandragowri
In this paper we are going to see about the how computer networks have been connected to LAN, MAN, WAN connection, and network topologies and uses of an OSI model how the layers have been got connected to repeaters, bridges ,routers ,gateways. normally an connection is very helpful for every network to got connected in the correct way so that data may reach its destination node and about the topologies .
Network,Applications, Lan ,Man,Wan
S.Abitha, C.Arunodhya, Sharon Elizabeth Philips
Electroencephalogram (EEG) signal complexity quantifies the brain dynamic and yields many different features to diagnose many psychotic disorders. The aim of this work is to analyze EEG to detect schizophrenia in comparison with normal subjects using EEG signal complexity, at various conditions such as amplitude dynamics of electroencephalogram (EEG) oscillations. Neuronal oscillations reflect the activity of neuronal ensembles engaged in integrative cognition, and may serve as a functional measure for the cognitive impairment in schizophrenia. This project aims to reveal the abnormal amplitude dynamics of electroencephalogram (EEG) data acquisition process feasible and quick for most patients. The highest classification accuracy 88.5% is obtained when features of both stimulus are considered together. This work suggests that the EEG signal oscillations in schizophrenia patients on multiple time scales. This article presents the Dyadic wavelet transformation, a novel approach for schizophrenia detection showing great success in classification accuracy with no false positives. The methodology is designed for single electrode recording, and it attempts to make the complexity during mental activity can be used to identify schizophrenia subjects.
Schizophernia cortical thickness, individual hierarchical network, multiple kernel learning,classification.
D.Niranchana, D.Aldrine Douglas, N.Anurag
You will probably never go to Mars or else swim with dolphins, run an Olympic 100 meters. But if virtual reality ever lives up to its promise, you might be able to do all these things—and many more—without even leaving your home. Unlike real actuality (the real world in which we live our life), VR means simulating bits of our world (or completely imaginary worlds) using high-performance computers and sensory equipment, like headsets and gloves. Apart from games and entertainment, it's long been used for training airline pilots and surgeons and for helping scientists to figure out complex problems such as the structure of protein molecules.
Virtual Education, Virtual Reality, Training,
Vinoth.V
Cloud computing has generated much interest in the research community in recent years for its many advantages, but has also raise security and privacy concerns. The storage and access of confidential documents have been identified as one of the central problems in the area. In particular, many researchers investigated solutions to search over encrypted documents stored on remote cloud servers. While many schemes have been proposed to perform conjunctive keyword search, less attention has been noted on more specialized searching techniques. In this paper, we present a phrase search technique based on Bloom filters that is significantly faster than existing solutions, with similar or better storage and communication cost. Our technique uses a series of n-gram filters to support the functionality. The scheme exhibits a trade-off between storage and false positive rate, and is adaptable to defend against inclusion-relation attacks. A design approach based on an application’s target false positive rate is also described.
Cloud Computing,Security, Keyword search, Encryption, Decryption
K.L. Subhiksha Narayanan
The availability of huge amounts of data is often considered as the fourth industrial revolution we are living right now. And data accumulation allows us to tackle a wide range of social, economic, industrial and scientific challenges. But extracting meaningful information from the available data is not a trivial task. Well mathematics plays an important role in the existing algorithms for data processing through the techniques from mathematics. Here, I review some of the important applications of mathematics in big data analytics.
Graph Theory, Recurrence Relation, Topology-persistence homology, matlab.