This paper describes the synthesis of ceria catalysts with octahedron, nanorod, nanocube and spindle-like morphologies via a template-free hydrothermal method. The surface morphologies, crystal plane physical-chemical structures were investigated field-emission scanning electron microscopy (FE-SEM), transmission (TEM), high-resolution (HRTEM), X-ray diffraction (XRD) temperature-programmed desorption ammonia carbon dioxide (NH3-TPD CO2-TPD). catalytic performance over these different exposed...

Mobile-edge computing (MEC) has aroused significant attention for its performance to accelerate application's operation and enrich user's experience. With the increasing development of green computing, energy harvesting (EH) is considered as an available technology capture from circumambient environment supply extra mobile devices. In this paper, we propose online dynamic tasks assignment scheduling investigate tradeoff between consumption execution delay MEC system with EH capability. We...

Real-time traffic information can efficiently reflect the condition in urban scenarios. However, how to design an efficient real-time sharing mechanism achieve traveling time estimation (TTE) and dynamic path planning still remains a challenging problem. In this paper, we first propose effective based on distributed transportation system with road-side units, which has lower computing complexity less redundancy. Then, considering current information, present method estimate from source...

Mobile Edge Computing (MEC) brings abundant cloud resources to the edge of network and provides great opportunities improve user's quality experience. While many recent studies have investigated problem computation offloading, service caching is also an important design topic MEC. Service stores application-related databases or libraries in advance enables corresponding user tasks be offloaded. Due limited server, decisions made judiciously maximize system performance. In this paper, we...

With the advances in Internet-of-Things technology, electric vehicles (EVs) have become easier to schedule daily life, which is reshaping load curve. It important design efficient charging algorithms mitigate negative impact of EV on power grid. This article investigates an scheduling problem reduce cost while shaving peak load, under unknown future information about EVs, such as arrival time, departure and demand. First, we formulate minimize electricity bill fleet study online setting...

Mobile-edge computing (MEC) has been recognized as a promising solution to provide efficient communication and computation capabilities for mobile users (MUs). However, the problem relating parallel offloading load balancing with multiple cooperative MEC servers massive delay-sensitive execution workloads remains be investigated. In this paper, we study joint policy such an system. We formulate long-term system average-cost (i.e., weighted sum of energy consumption delays) stochastic...

The power supplying frontier in microgrids is moving from traditional fossil fuels towards clean renewable energy. Given the temporal asynchrony between intermittent generation and uncertain loads, it vital to develop an efficient energy scheduling, storing, distributing scheme improve utilization (REU) system economics. In this paper, we introduce a power-to-hydrogen (P2H) facility convert surplus into hydrogen through electrolysis. conversion process bidirectional where can be re-generated...

With the booming development of flexible wearable sensing devices, stretchable strain sensors with crack structure and high sensitivity have been widely concerned. However, narrow range has hindering crack-based sensors. In addition, existence may reduce interface compatibility between elastic matrix material. Herein, to overcome these problems, integrated core-sheath fibers were prepared by coaxial wet spinning partially added carbon nanotube materials in thermoplastic polyurethane...

Mobile-edge computing (MEC) has evolved as a promising technology to alleviate the pressure of mobile devices by offloading computation tasks MEC server. Energy management is challenging since unpredictability energy harvesting (EH) and quality service (QoS). In this paper, we investigate problem power consumption in multiuser system with EH devices. The consumption, which includes local execution transmission power, designated main performance index. First, formulate minimization battery...

It is a promising vision to utilize white spaces, i.e., vacant VHF and UHF TV channels, satisfy skyrocketing wireless data demand in both outdoor indoor scenarios. While most prior works have focused on exploring the story largely open for investigation. Motivated by this observation that 70% of spectrum comes from environments, we carry out comprehensive study spaces. We first present large-scale measurement occupancy 30+ diverse locations typical metropolis Hong Kong. Our results confirm...

Mobile Edge Computing (MEC) provides cloud-like computing functionalities for mobile devices (MDs) by deploying servers at the edge of future 6 G network. The cooperation among multi-servers and remote cloud offers low-latency services MDs, meeting demand numerous delay-sensitive computation tasks. However, limited storage capacity makes it difficult to cache all kinds from simultaneously. Furthermore, available bandwidth communication links are insufficient MDs. In this paper, we consider a...

Surface‐enhanced Raman scattering (SERS) is a versatile spectroscopic technique, which plays crucial role in enhancing analytical sensitivity, investigating interfacial reaction mechanisms, enabling biosensing, and fostering efficient catalysis. Currently, the common SERS substrates are primarily metal nanostructures, entail high manufacturing costs, complex processes, surface undergo change over time with environmental conditions. These issues limit development of technology. In this work,...

High-performance broadband photodetectors (PDs) are crucial in various military and civilian applications. However, conventional near-infrared (NIR) PDs still face several inevitable self-limitations such as a finite light absorption range for silicon (Si) large area array issues InGaAs. In response to these challenges, this work proposes high-performance uncooled NIR PD with wide-band long-term stability, which is integrated by the PbS quantum dots (QDs)/three-dimensional graphene...

The emergence of energy storage system (ESS) enables the service provider to profit from price difference between purchasing electric utility companies and selling it customers through battery operations while more frequent charging/discharging behaviors cause degradation. However, accurate estimation ESS degradation cost is one main obstacles for participating in management. This paper considers a smart grid scenario, consisting an lithium-ion (ALBD) model, renewable generators bilateral...

We study the throughput capacity of hybrid wireless networks with a directional antenna. The network consists n randomly distributed nodes equipped antenna, and m regularly placed base stations connected by optical links. investigate ad hoc mode when each node is antenna under an L-maximum-hop resource allocation. That is, source transmits to its destination only help normal within L hops. Otherwise, transmission will be carried out in infrastructure mode, i.e., stations. find that greatly...

The fluctuations of electricity prices in demand response schemes and intermittency renewable energy supplies necessitate the adoption storage microgrids. However, it is challenging to design effective real-time management strategies that can deliver assured optimality, without being hampered by uncertainty volatile supplies. This paper presents a simple online algorithm for charging discharging decisions minimizes cost presence price supplies, relying on future information prices, demands,...

The emergence of mobile edge computing (MEC) enables resource-limited user devices to run computation-intensive applications with the aid server, but untrustworthiness third-party server raises leakage risk users' privacy. In this article, we consider an edge-cloud collaboration (ECC) scenario, consisting multiple energy harvesting component, one and cloud concern about issues time latency, consumption, privacy level in process task offloading. Specifically, formulate tradeoff between...

With the rapid developments of electric vehicles (EVs) in recent years, it is desirable to improve energy efficiency prolong limited life battery and extend cruising range EVs. In real EVs, thermal management system installed cool maintain expected high power output. this article, we propose a novel strategy based on deep reinforcement learning (DRL) considering effects efficiency. The main idea formulate as an optimization problem, further extract state sequence features vehicle via gated...

Multi-access Edge Computing (MEC) enables mobile users to run various delay-sensitive applications via offloading computation tasks MEC servers. However, the location privacy and usage pattern are disclosed untrusted The most related work concerning privacy-preserving schemes in either consider an impractical scenario consisting of a single user or take large amount communication cost. In this article, we propose deep reinforcement learning based joint optimization delay preservation during...

Respiration and body temperature are largely influenced by the highly contagious influenza virus, which poses persistent global public health challenges. Here, we present a wireless all-in-one sensory face mask (WISE mask) made of ultrasensitive fibrous sensors. The WISE shows exceptional thermosensitivity, excellent breathability, wearing comfort. It offers sensitive monitoring respiratory detection capabilities. Capitalizing on advances in Internet Things artificial intelligence, is...