A Study on Role of A.I. and Robotics in Health Care Sector: Its Impact and Contribution

Health Care is one of the major domain sectors of our country. As this domain has many different aspect of implementation, as per the current scenario of Diseases and health complications. This paper will discuss about how, the Artificial Intelligence (A.I.) and robotics can be beneficial and plays a major role on, health care domain with respect to the Efficiently Diagnose, Developing New Medicines, Earlier Detection of Diseases, Advance Treatment Care, A.I-Deep learning For the Critical Decision’s. As this Information will help to give more clarity on what, A.I. & Robotics contributes for the major Diseases Treatment by the advancement of Technology. This can be beneficial for not only Doctors, Patients, or Firm but can also be helpful for citizen people as well. The objective of this paper is to study the role of AI and Robotics in Healthcare Sector and its impact.

Efficient Dynamic Acknowledgement Scheme for Manet

Mobile Adhoc Networks (MANET) is the decentralized type of network and it does not rely on pre-existing infrastructure. All nodes work as routers and take path in discovery and maintenance of routes to other nodes in the network. The Energy Efficiency continues to be a key factor in limitingthe deploy ability of ad-hoc networks. Deployingan energy efficient system exploiting themaximum life time of the network has remained agreat challenge since years. The major concern inWireless network in recent days is Energy Consumption. There are numerous algorithms proposed to overcome this issue. In this paper proposed a new intrusion detection system is Enhanced Adaptive 3 Acknowledgement (EA3ACK) using Energy Efficiency Dynamic State (EEDS) algorithm. This algorithmis designed to increase the network lifetime and remaining energy bycontinuously monitoring the individual nodes inthe network, thereby it increases the quality ofservice of the network. Network Simulator (NS2) is used to implement & test our proposed system. The proposed EEDS- EA3ACK algorithm provides secure transmission & further it improves network performance.

IEEE Paper Based on E-Novels

Nowadays, the net plays an important role in people’s life. In the process of the improvement of the public’s living standards, public’s demands of the life’s quality and efficiency is higher, the traditional bookstores inconvenience gradually emerged, and the online bookstore has gradually been used in public. The online bookstore is a revolt in book industry. The old-style bookstores operative time, addresses and places are so much restricted, so the types of novels and books to be find found a degree of constraint. But the online bookstore ruined the management mode of outdated bookstore, as long as you have a computer, you can buy the book from anywhere, saving time and efforts, shortening the time of book selection link efficiently. The online bookstore system based on the standard of provides suitability and facility to people out there.

A Nobel Approach Towards Designing A Personalizing bot to Reduce Human Efforts

A bot is “a computer program that completes automatic repetitive tasks.” To expand on this definition, bots also act as the primary tool for autosmating interactions and meeting with website content on a large scale.When thinking about bots, however, it’s important to maintain viewpoint. Bots are a software that are becoming easier to implement. They can serve a variety of purposes and what they ultimately accomplish is dependent on the humans that control them. With BOT, one gets to understand with the ability to connect with them on a level where they feel understood, listened to and accommodated.

Educational Data Mining in Practice Literature Review

Educational Data Mining (EDM) is an evolving field with a suite of computational and psychological methods for understanding how students learn. Applying Data Mining methods to education data help us to resolve educational investigation issues. The growth of education data offers some unique advantages as well as some new challenges for education study. Some of the challenges are an improvement of student models, identify domain structure model, pedagogical support and extend educational theories. The main objective of this paper is to present the capabilities of data mining in the context of the higher educational system and their applications and progress, through a survey of literature and the classification of articles. We observed the works on investigational situation studies showed in the EDM during the recent past, in addition, we have introduced three data models based on descriptive and predictive data mining techniques. This is oriented towards students in order to recommend learners’ activities, resources, suggest path pruning and shortening or simply links that would favor and improve their learning or to educators in order to get more objective feedback for instruction.

Dispersion Compensation in Optical Fiber using Fiber Grating

Optical Fiber Communication System is highly in demand because of several advantages namely Extremely High Bandwidth, Longer Distance, Low security Risk, Small Size etc. This system basically consists of Optical Transmitter, appropriate channel and Optical Receiver. Optical Fiber is generally used for the propagation of optical signals and in this fiber, Dispersion arises which acts as the main hindrance in Optical Fiber Communication. Dispersion is nothing but the time broadening of pulses because of the inherit property of the Silica Fiber that refractive index of the material depends upon the wavelength used. In this paper, Compensation of Dispersion is done using the FBG(Fiber Bragg Grating. FBG is a type of filter which passes few wavelengths and reflects rest of them. Stimulation is done on software named OPTISYSTEM 15. Simulation results are analyzed through Eye Diagram which gave us the values of MIN.BER and Q-Factor.