Communication lack cause problems for patients with neurodegenerative diseases, so need of alternative methods are required to convey their thoughts with caretakers, friends and family members. Brain Computer Interface (BCI) is a device to control external devices by using mental thoughts without any other muscle movements to improve the communication quality for the disabled individual without any others help. The techniques of measuring electrical signal around the scalp during some activities by using electrodes are called Electroencephalogram (EEG). By combining these two technologies together to form a Brain Computer Interaction, this helps the paralyzed individual to communicate with others to share the thoughts. In this paper we deals with history of Electroencephalogram (EEG), electrode placements with measurements and signal ranges and also further we discussed some of the prominent studies completed in designing BCI using EEG. This helps the new researchers to know the EEG measurement and position completely and paved the new way to create an EEG based interface research.

Glaucoma is a disease where the optic nerve of the eyes is smashed up due to the building up of pressure inside the vision point. This has no symptoms at the initial stages, and hence, patients with this disease cannot identify them at the beginning stage. It is explained as if the pressure in the eye increases, then it will hurt the optic nerve which sends images to the brain. This will lead to permanent vision loss or total blindness. The existing method used for the detection of glaucoma includes k-nearest neighbour and support vector machine algorithms. The k-nearest neighbour algorithm and support vector machine algorithm are the machine learning methods for both categorization and degeneration problems. The drawback in using these algorithms is that we can get accuracy level only up to 80. The proposed methods in this study focus on the convolution neural network for the recognition of glaucoma. In this study, 2 architectures of VGG, Inception method, AlexNet, GoogLeNet, and ResNet architectures which provide accuracy levels up to 100 are presented.

Journal of Nano- and Electronic Physics. Scientific journal. ISSN: 2077-6772. Journal abbreviation: J. Nano- Electron. Phys. No page charges. All articles are freely available on-line. Issued 4 times per year. Publisher: Sumy State University. (Sumy, Ukraine)

Combined continuous authentication and intrusion detection can be an effective approach to improve the security performance in high-security MANETs. In this proposed scheme, we have presented a distributed scheme combining authentication and intrusion detection. The fingerprint/voice biosensors for authentication and IDSs are dynamically selection is depending on the current security and energy states. To improve upon this concept, Dempster–Shafer theory has been used for IDS and sensor fusion since more than one device is used at each time slot. The system decides whether a user authentication (or IDS) is required and which biosensors (or IDS) should be chosen, depending on the security needed. The decisions are made in a fully distributed manner by each authentication device and IDS. In this proposed scheme increase the high security in military application

This paper manages a totally one of a kind non-obtrusive logical analytic methodology bolstered connection of nasal cycle musicality with 3 spiral heartbeats. In Siddha prescription, one in all the ordinary Asian country frameworks of medications especially in south India this standard is extra-normal and fundamental for beginning screening in the assignment. Fundamental order of infections is inexactly characterized by these standards. Indeed, even advisors distinguish the exact remaining of ailments like a place, organs influenced, level of affectionateness is communicated by the feeling of measure the over parameters. In any case, these needs extra data, apply and learn. Besides, the framework wasn’t all around perceived because of the absence of logical approval. Nasal cycle is surveyed as Right foremost naris (Pinkalai) prevailing stream and Left front naris (Idakalai) overwhelming stream bolstered the presence of a prevalent stream, particularly front naris. A case if the stream is similarly appropriated in each the foremost naris is comprehended as Sulumunai. Next vital parameter is the feeling of a heartbeat. The heartbeat is felt at 3 neighboring focuses over the blood vessel near the radiocarpal joint inside the request of Vatha beat, Pitha heartbeats and Kapha beat. Amid this venture, subjects were ordered into 3 groups bolstered prevalent nature of 3 very surprising heartbeats and each bunch is identified with the character of nasal cycle. It’s learned that there exists the most time of the power of right front naris stream exists for the subjects with prevailing pitha heartbeat and transcendence of left foremost naris stream exists for the themes with predominant Kapha heartbeat. While for the themes with prevailing Vatha heartbeat gangs transcendent stream each in right likewise as in left front naris upheld the unwellness kind.