Abstract With evolution of the smart things, to acquire data, gateways play a major role in interconnecting with various sensor nodes. Using different wireless protocols and standards with sensor nodes, gateway can transform information into a unique format that transmit into the cloud for further use. Which accepts the commands from external users in the remote location through a personal computer or a smartphone.... With evolution of the smart things, to acquire data, gateways play a major role in interconnecting with various sensor nodes. Using different wireless protocols and standards with sensor nodes, gateway can transform information into a unique format that transmit into the cloud for further use. Which accepts the commands from external users in the remote location through a personal computer or a smartphone. The proposed gateway has its added advantages; (i) ZigBee and Wi- Fi wireless technologies connectivity is enabled, (ii) transforms the information into required protocol format, (iii) uses a light weighted MQTT protocol in transmitting and receiving environment, (iv) It provides the storage and analyzed data and (v) the sensor values can be observed and the devices can be controlled by a smartphone from remote location. Here we demonstrate the proof of concept for controlling the smart home appliances. Which also represents a design and implementation of Bi-Directional IoT gateway using ZigBee and Wi-Fi technologies with MQTT protocol. Read More Read Less

Abstract The interference with the track circuit signal is more and more complex under the condition of high-speed and heavy haul, how to detect the signal parameters of track circuit more accurately is becoming an important issue. Firstly, the harmonic interference of the traction current is analyzed, and the harmonic current component of the traction current under the consideration of the power frequency drift... The interference with the track circuit signal is more and more complex under the condition of high-speed and heavy haul, how to detect the signal parameters of track circuit more accurately is becoming an important issue. Firstly, the harmonic interference of the traction current is analyzed, and the harmonic current component of the traction current under the consideration of the power frequency drift and actual measurement are given. Then, due to the track circuit frequency shift signal (FSK signal) uses the frequency parameters to transmit control information. Therefore, through improving the spectrum resolution to improve the reliability of the signal detection, and combing the advantages of ZFFT (Zoom Fast Fourier Transform) algorithm with multiple modulation in the field of signal spectrum local refinement, the ZFFT algorithm with multiple modulation is proposed to detect the frequency signal of the track circuit. This algorithm refines the interested local signal spectrum of the whole signal spectrum to improve the spectral resolution, which can find and eliminate the interference signal frequency. Finally, the simulation is carried out, and the simulation results show that the frequency shift signal detected by this method can meet the error standard of signal detection and improve the reliability of track circuit signal detection. Read More Read Less

Abstract Purpose – The purpose of this study is to examine the university students’ intention to use mobile wallets (MWallet), in this era of rapid technological advancement, using Technology Acceptance Model (TAM) as the basis. In addition, it is also meant to analyze if cash crunch could be considered as an independent factor contributing to the model. Design/methodology/approach – In total 439 university students... Purpose – The purpose of this study is to examine the university students’ intention to use mobile wallets (MWallet), in this era of rapid technological advancement, using Technology Acceptance Model (TAM) as the basis. In addition, it is also meant to analyze if cash crunch could be considered as an independent factor contributing to the model. Design/methodology/approach – In total 439 university students from a reputed Indian University. A survey questionnaire was competed reflecting their responses to five constructs viz., their Intention to use mobile wallets, Subjective norms, Awareness, Perceived security and Cash crunch. A structural equation modelling (SEM) method was used for modelling and data analysis. Findings – The results from the findings led to the revelation that the model employed is a fairly efficient model to study the intention of the Indian university students to use mobile wallets. The proportion of variance explained in University students’ intention to use Mobile wallets by its antecedents was 50 percent. In addition, ten out of eleven hypotheses were supported in this study. Further, the data gathered in this study indicate that the model employed has the potential to help in understanding mobile wallet adoption by University students in India, in general. Originality/value – The model was built with TAM as a base which is a recognized and well-tested model to analyze and grasp the intention to use technology. However, information on its cross-cultural validity is limited. The model employed in this study on a sample of University students validated the cash crunch as an independent variable and the results indicated that Cash Crunch Technology Acceptance Model (CCTAM) could be an extension of TAM as a model. Read More Read Less