Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Smart home system based on Internet of Things

Abstract: Varity of appliances have been presented in a house with the development of social economy and rapid increase in the needs of the people. There is a problem in the management and control of these appliances so as to meet the comfort, health and security at home. To overcome this problem a smart control based system has been proposed. When we talk about Internet of things (IoT), there are large numbers of distinct devices which are connected throughout different systems. These systems provide open platform to all digital devices accessing data from such systems. So, it becomes quite difficult to design such a system for IoT which can handle large classification of devices and also technologies like link layer associated to it. To connect such a sophisticated network on IoT one need to have central server (server could be created over Wi-Fi network) which can facilitate all smart phones, tablets and other digital devices.

Deep Learning Approach to Determine the Impact of Socio Economic Factors on Bitcoin Price Prediction

Abstract: Investment in cryptocurrency has been in trend from last many years. Bitcoin is one of the most popular and valuable cryptocurrency. Many studies have been done on bitcoin price prediction using various parameters which includes bitcoin factors, social media etc. In this paper, a comparative study of the various parameters affecting bitcoin price prediction is done based on Root Mean Square Error (RMSE) using various deep learning models like Convolutional Neural Network (CNN), Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU). We have studied the effect of Gold price on the price of bitcoin.

Core–shell gold–silver nanoparticles based impedimetric immunosensor for cancer antigen CA125

Abstract: We report a simple and fast assay for cancer antigen CA125 quantification using gold–silver core–shell nanoparticles for ovarian cancer diagnosis and prognosis The impedimetric analysis of CA125 using label-free and reagentless immunosensor could be used done in 20 min Furthermore, the directed immobilization of antibody onto the core–shell nanoparticles enabled linear response upto 1–150 IU/mL (r2 = 0994) as opposed to the maximum linear response of 10–1000 IU/mL reported for impedimetric immunosensors till date The fabricated immunosensor displayed tolerable interference of 20–5% from serum components and retained 90% stability up to 20 days Moreover, sensitivity of immunosensor fabricated using Au–Ag nanoparticles (190 Ω IU−1 mL cm−2) was almost three times that of gold nanoparticles based immunosensor (59 Ω U−1 mL cm−2)

Which verification qubits perform best for secure communication in noisy channel

Abstract: In secure quantum communication protocols, a set of single qubits prepared using 2 or more mutually unbiased bases or a set of n-qubit $$(n\ge 2)$$(n?2) entangled states of a particular form are usually used to form a verification string which is subsequently used to detect traces of eavesdropping. The qubits that form a verification string are referred to as decoy qubits, and there exists a large set of different quantum states that can be used as decoy qubits. In the absence of noise, any choice of decoy qubits provides equivalent security. In this paper, we examine such equivalence for noisy environment (e.g., in amplitude damping, phase damping, collective dephasing and collective rotation noise channels) by comparing the decoy-qubit-assisted schemes of secure quantum communication that use single-qubit states as decoy qubits with the schemes that use entangled states as decoy qubits. Our study reveals that the single- qubit-assisted scheme performs better in some noisy environments, while some entangled-qubit-assisted schemes perform better in other noisy environments. Specifically, single-qubit-assisted schemes perform better in amplitude damping and phase damping noisy channels, whereas a few Bell-state-based decoy schemes are found to perform better in the presence of the collective noise. Thus, if the kind of noise present in a communication channel (i.e., the characteristics of the channel) is known or measured, then the present study can provide the best choice of decoy qubits required for implementation of schemes of secure quantum communication through that channel.