The operation principle of resonant channel add-drop filters based on degenerate symmetric and antisymmetric standing-wave modes has been described elsewhere using group theoretical arguments. In this paper, the analysis is carried out coupling in time. A possible implementation such a filter four-port system utilizing pair identical single-mode standing wave resonators. allows simple derivation constraints imposed design parameters order to establish degeneracy. Numerical simulations...

We investigate general channel drop tunneling processes using both analytic theory and first-principles simulations. These occur when two one-dimensional continuums are brought into close proximity with a resonator system that supports localized states. Propagating states can be transferred between the through system. show transport properties intricately related to symmetries of resonant Complete transfer achieved by manipulating system, forcing an accidental degeneracy different...

Cellular vehicle-to-everything (C-V2X) is one of the enabling vehicular communication technologies gaining momentum from standardization bodies, industry, and researchers aiming to realize fully autonomous driving intelligent transportation systems. The 3rd Generation Partnership Project (3GPP) body has actively been developing standards evolving 4G-V2X 5G-V2X providing ultra-reliable low-latency communications higher throughput deliver solutions for advanced C-V2X services. In this survey,...

Recently, the telecommunication standard development body reported LTE support for V2X services-based use cases along with their potential requirements. However, these requirements overlap and require a huge effort to understand. Therefore, it is imperative know outcomes of categorization In this paper, we provided an overview cases, outcomes, comparison between based on i.e. latency, message size, mobility performance, response time, frequency, anonymity integrity, reliability,...

The cooperative, connected, and automated mobility (CCAM) infrastructure plays a key role in understanding enhancing the environmental perception of autonomous vehicles (AVs) driving complex urban settings. However, deployment CCAM necessitates efficient selection computational processing layer machine learning (ML) deep (DL) models to achieve greater performance AVs environments. In this paper, we propose framework analyze effectiveness custom-trained DL model (YOLOv8) when deployed diverse...

We describe and demonstrate sensitive room-temperature detection of terahertz (THz) radiation by nonlinearly upconverting to the near-infrared regime, relying on telecommications components. THz at 700 GHz is mixed with pump light 1550 nm in a bulk GaAs crystal generate an idler wave 1555.6 nm, which separated detected using commercial p-i-n diode. The detector operates room temperature has intrinsic THz-to-optical photon conversion efficiency 0.001%.

We extend our work to perform sensitive, room-temperature optical detection of terahertz (THz) by using nonlinear parametric upconversion. THz radiation at 700 GHz is mixed with pump light 1550 nm in a bulk GaAs crystal generate an idler wave 1555.6 nm. The separated, coupled into fiber, and detected gated Geiger-mode avalanche photodiode. resulting detector has power sensitivity 4.5 pW/Hz timing resolution 1 ns.

In an urban and uncontrolled environment, the presence of mixed traffic autonomous vehicles, classical vulnerable road users, e.g., pedestrians, unprecedented dynamic events makes it challenging for vehicle to navigate safely. Therefore, realization collaborative driving has potential improve safety efficiency. However, obvious challenge in this regard is how define, model, simulate environment that captures dynamics a complex environment. research, we first define envisioned where capture...

A specialized version of collaborative driving is convoy driving. It referred to as the practice more than one vehicle consecutively in same lane with a small inter-vehicle distance, maintaining speed. Extensive research has been conducted on convoys heavy-duty trucks highway; however, limited studied an urban environment. The complex dynamics environment require short-lived collaboration varying numbers vehicles rather collaborating over hours. motivation this investigate how can be...

Time-dependent mode-coupling theory is used to analyze a type of resonant add/drop filter based on the excitation degenerate symmetric and antisymmetric modes. Flat-top transfer functions are achieved with higher order filters that utilize multiple resonator pairs, designed satisfy degeneracy conditions. The resulting analytic expressions lead an equivalent circuit characteristics related standard L-C designs.

Environment perception plays a crucial role in enabling collaborative driving automation, which is considered to be the ground-breaking solution tackling safety, mobility, and sustainability challenges of contemporary transportation systems. Despite fact that computer vision for object undergoing an extraordinary evolution, single-vehicle systems' constrained receptive fields inherent physical occlusion make it difficult state-of-the-art techniques cope with complex real-world traffic...

Autonomous vehicles and smart roads are not new concepts the undergoing development to empower for higher levels of automation has achieved initial milestones. However, transportation industry relevant research communities still require making considerable efforts create intelligent autonomous driving. To achieve results such efforts, CCAM infrastructure is a game changer plays key role in achieving In this paper, we present driving capabilities enhanced by infrastructure. Meaning thereby,...

Component-based software (CBS) development is an attractive proposition to globally distributed organizations because of its potential integrate reusable components in new products. Several have adopted CBS practices support their global processes, a phenomenon referred as development. Many factors influence organization's decision adopt practices. The objective this paper systematically assess the determinants that adoption organizations. We develop conceptual research model based on...

Crash severity prediction models enable various agencies to predict the of a crash gain insights into factors that affect or are associated with severity. One potential ways is leverage machine learning (ML) algorithms. With help accident data, ML algorithms find hidden patterns whether fatal, serious, slight. In this research, we develop framework and implemented six different algorithms, namely: Naïve Bayes, Logistic Regression, Decision Tree, Random Forest, Bagging, AdaBoost crash....

Recently, we have seen a huge interest from academia and industry in HTTP adaptive streaming (HAS) solutions. To improve viewer experience, content providers deploy various HAS solutions that include key element at the client side, bitrate (ABR) logic. This client-driven technique aims to dynamically select an suitable adapt available network conditions. In literature, many ABR techniques been proposed. However, how works depends on choice of characteristics. this paper, review set...

Convoy driving, a specialized form of collaborative autonomous offers promising solution to the multifaceted challenges that transportation systems face, including traffic congestion, pollutant emissions, and coexistence connected vehicles (CAVs) human-driven on road, resulting in mixed flow. While extensive research has focused collective societal benefits convoy such as safety comfort, one critical aspect been overlooked is willingness individual participate formations. are evident, may...

Recently, the advancements in technologies have enabled volumetric media techniques to capture, encode, decode, and render videos six degree-of-freedom (6DoF) order make objects highly immersive, interactive, expressive within scene. This is by using multiple cameras around object(s). However, streaming 6DoF require a huge bandwidth computational processing. As end-user focuses on viewport-scenes, large portion of consumed mainly introduced due unseen video-scenes. To fill this gap, it...

With the advancement in various technological fronts, we are expecting design goals of smart cities to be realized earlier than expected. Undoubtedly, communication networks play crucial role backbone all verticals cities, which is why surrounded by terminologies such as Internet Things, Vehicles, Medical etc. In this paper, focus on implanting intelligence 5G and beyond mobile networks. connection, develop a novel data-driven predictive model may serve an intelligent slicing framework for...

A 3D imaging pulsed LADAR with Geiger mode APD array was assembled, flight-tested and deployed in response to a FEMA request for data collection debris estimation analysis support the Hurricane Harvey relief effort TX. Here we report on rapid application of this Mode system collect high area coverage rate geo-mapping volume estimation. MIT Lincoln Laboratory's Airborne Optical Systems Testbed (AOSTB) hosted DeHavilland Twin Otter aircraft flown imagery Houston TX inundated over 50 inches...