A vehicular ad hoc network (VANET) is a part of smart transportation. As a result of the vehicles being able to communicate with one another and share sensitive information, it is necessary to have an environment that can be trusted. Vehicles are clustered into platoons to ensure the secure transfer of information between them and select the platoon head of each platoon to control the vehicles

In this work, an ultrathin subwavelength metasurface based on a cross-junction-inspired unit cell that exhibits efficient wideband polarization rotation is presented. This structure manipulates the polarization of the incident electromagnetic radiation in the transmission band. The proposed metasurface converts the incident linearly polarized waves into the orthogonal polarization over a

Optical frequency comb (OFC) is a broad spec-trum comprised of closely spaced equidistant narrow lines. The generation of OFC is based on several nonlinear effects in highly nonlinear fiber (HNLF), which is employed to produce the repetitive frequencies. This work investigates the usage of cascaded Mach-Zehnder modulators (MZM) and self-phase modulation (SPM) in HNLF as effective spectrum

Although the light-emitting diode (LED) was discovered in the 1900s, it is now widely used in lighting, screens, and a variety of other indoor and outdoor applications. (Organic Light Emitting Diode) OLED is one of the advancing branches of LED technology. In the structure of Alq3 OLEDs, highlight-efficiency optical materials such as TPD (hole transport layer) and Alq3 (electron transport layer)

Nowadays, food packaging plastics is one of the largest markets that consume thermoplastics. Regardless, the packaging industry accounts for the majority of plastic waste that is polluting the environment. Furthermore, because petroleum sources are limited and on the verge of depletion, there is a need to develop alternative materials that can perform the same functions as conventional plastics

The applications of Federated Learning are many, and they can be used to predict electricity consumption and, at the same time, enable smart meters to collaboratively learn a shared model while keeping all their data locally in their own private database. With this approach, the central model will see more data and will work better to predict electricity consumption more accurately than the models

Irony and Sarcasm Detection (ISD) is a crucial task for many NLP applications, especially sentiment and opinion mining. It is also considered a challenging task even for humans. Several studies have focused on employing Deep Learning (DL) approaches, including building Deep Neural Networks (DNN) to detect irony and sarcasm content. However, most of them concentrated on detecting sarcasm in English

DevSecOps includes security practice while applying DevOps. DevSecOps help secure the whole DevOps process. This paper aims to define a DevSecOps module to be used by the infrastructure team while applying infrastructure as code. The proposed module solves the problem of security by including security practice with the DevOps cycle to reach DevSecOps. The module was tested to measure time effi

Despite the large amount of research conducted on PTC performance analysis, few and rare numbers of research have considered the design optimization of PTCs. In the present work, a novel multiobjective-optimization model is developed for design optimization of PTCs. The objective functions are the thermal and exergetic efficiencies because they are the most important performance indicators (PIs)

Service depending on good connection is growing and so its sensitivity, like Advanced Driver-Assistance System (ADAS). ADAS is the most common technological feature in the modern car, and the hope to reach a dependable anonymous car is the ultimate target. We (From end user and manufacture perspectives) are evaluating Teleoperated Driving as the most promising achievable feature to support