Smart cities contain intelligent things which can intelligently automatically and collaboratively enhance life quality, save people's lives, act a sustainable resource ecosystem. To achieve these advanced collaborative technologies such as drones, robotics, artificial intelligence, Internet of Things (IoT) are required to increase the smartness smart by improving connectivity, energy efficiency, quality services (QoS). Therefore, drones IoT play vital role in supporting lot smart-city...

This paper studies the network performance of collaboration between Internet public safety things (IoPST) and drones. Drones play a vital role in delivering timely essential wireless communication services for recovery right after disaster by increasing surge capacity purposes safety, exploring areas that are difficult to reach, providing an area rapid coverage connectivity. To provide such critical facilities case disasters drones IoPST is able support requirements as real-time analytics,...

The integration of drones, the Internet Things (IoT), and Artificial Intelligence (AI) domains can produce exceptional solutions to today complex problems in smart cities. A drone, which essentially is a data-gathering robot, access geographical areas that are difficult, unsafe, or even impossible for humans reach. Besides, communicating amongst themselves, such drones need be constant contact with other ground-based agents as IoT sensors, robots, humans. In this paper, an intelligent...

Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of the communication infrastructures are destroyed, there is no way connection between people in disaster others outside range. Drone technology critical delivering services guiding monitoring unwanted effects a disaster. The collaboration advanced technologies can reduce life losses, save people’s lives, manage crisis. network performance Internet Things (IoT) drone edge intelligence help gather...

The actions taken at the initial times of a disaster are critical. Catastrophe occurs because terrorist acts or natural hazards which have potential to disrupt infrastructure wireless communication networks. Therefore, essential emergency functions such as search, rescue, and recovery operations during catastrophic event will be disabled. We propose tethered balloon technology provide efficient services reduce casualty mortality morbidity for recovery. is an actively developed research area...

Correct and timely detection of fires has been an active area research. Both shallow learning (with manual feature engineering), as well deep its promise automatically extracting meaningful representations from the data) approaches, have used to solve fire problems. Most systems outperform hand-crafted algorithms for detection, particularly due enormous potential offered by Convolutional Neural Network variants. The design problem is further compounded when model intended be deployed on a...

As digital image forgery can be alarmingly detrimental, therefore, an insight into detection and classification of tampered images is paramount importance. Without undermining the significance other types, copy-move regarded as one most commonly used forgeries due to its ease implementation. To counter rapidly complicating methods easily accessible technologically advanced tools, passive forensic have also undergone massive evolution. Presently, deep learning based techniques are...

Fire hazards cause huge ecological, social and economical losses in day to life. Due the rapid increase prevalence of fire accidents, it has become vital equip assets with prevention systems. There have been numerous researches build a detection model order avert such recent approaches leveraging enormous improvements computer vision deep learning models. However, most models compromise their performance accurate maintain reasonable inference time parameter count. In this paper, we present...

A current mode versatile first-order filter section with single input and multiple outputs is realised. The realisation uses one dual-X second generation conveyor, two grounded resistors capacitors. realised provides low-pass, high-pass all-pass responses at different outputs. then cascaded a non-inverting integrator to realise four-phase sinusoidal oscillator. are resistively loaded achieve the four phase voltage All realisations were designed verified using PSPICE. Experimental...

Abstract Objective A disaster is a consequence of natural hazards and terrorist acts, which have significant potential to disrupt the entire wireless communication infrastructure. Therefore, essential rescue squads recovery operations during catastrophic event will be severely debilitated. To provide efficient services, reduce casualty mortality morbidity events, we proposed Tethered Balloon technology for preparedness, detection, mitigation, assessment. Methods The applicable any type...

Tremendous technology development in the field of Internet Things (IoT) has changed way we work and live. Although numerous advantages IoT are enriching our society, it should be reminded that also consumes energy, embraces toxic pollution E-waste. These place new stress on environments smart world. In order to increase benefits reduce harm IoT, there is an increasing desire move toward green IoT. Green seen as future environmentally friendly. To achieve that, necessary put a lot measures...

Video Surveillance (VS) systems are commonly deployed for real-time abnormal event detection and autonomous video analytics. captured by surveillance cameras in often contains identifiable personal information, which must be privacy protected, sometimes along with the locations of other sensitive information. Within System, these videos processed stored on a variety devices. The processing storage heterogeneity those devices, together their network requirements, make complex challenging....

The novel coronavirus infection (COVID-19) is still continuing to be a concern for the entire globe. Since early detection of COVID-19 particular importance, there have been multiple research efforts supplement current standard RT-PCR tests. Several deep learning models, with varying effectiveness, using Chest X-Ray images such diagnosis also proposed. While some models are quite promising, remains dearth training data models. present paper attempts provide viable solution problem deficiency...

This paper proposes an intelligent technique for maximizing the network connectivity and provisioning desired quality of service (QoS) integration internet things (IoT) unmanned aerial vehicle (UAV). Prediction signal strength fading channel conditions enable adaptive data transmission which turn enhances QoS end users/ devices with reducing power consumption transmissions. UAV is gathering robot from difficult or impossible area humans to reach. Hence, Atmospheric dynamics environment...

In the area of wireless communication, channel estimation is a challenging problem due to need for real-time implementation as well system dependence on accuracy. This work presents Long-Short Term Memory (LSTM) based deep learning (DL) approach prediction response in and real-world non-stationary channels. The model uses pre-defined history impulse (CIR) data along with two other features viz. transmitter-receiver update distance root-mean-square delay spread values which are also changing...

Analog signal processing in the current-mode regime offers several advantages over its voltage-mode counterpart. Although, circuits exhibit better noise performance, fully-differential topologies may be employed to improve cancellation,on account of their common-mode rejection properties. This paper presents fully-differential, first-order, low-pass, high-pass and all-pass filter sections operating current-mode. The recently introduced Digitally Controllable Differential Voltage Current...