Power system is one of the most critical cyber–physical systems in a sustainable society, whose security and reliability can significantly impact other infrastructures. Therefore, security and resilience of smart grids are one of the most challenging research questions in protection of critical infrastructures. After cyberattacks on the U.S. power grid in 2018, the national security agency announced

This paper presents a method that allows urban planners and municipal engineers to identify critical components of interdependent infrastructure systems. The intent of the method is to provide a means of modeling the impact of capacity-related changes (e.g., population growth, component degradation) on a city’s ability to deliver resources to critical locations. Infrastructure systems are modeled as

The past decade marked the beginning of the use of resting-state functional connectivity (RSFC) imaging in bilingualism studies. This paper intends to review the latest evidence of changes in RSFC in language and cognitive control networks in bilinguals during adulthood, aging, and early Alzheimer's disease, which can add to our understanding of brain functional reshaping in the context of second language

Urban flood risk is becoming a severe issue in most cities and has been a critical global concern of the twenty-first century. Flooding events can trigger significant failures in public transport networks (PTNs) within urban areas. With a growing population in urban areas, demand for transportation increases. Consequently, the dual forces of climate change and rapid urbanization have intensified the

This work presents, silicon carbide nanoparticles (SiCNPs) embedded in a conductive polymer (CP) to be electrospun to fabricate a nanofibrous membrane and a thin-film. Electrochemical enzymatic glucose sensing mechanism of an electrospun nanofibrous membrane (ENFM) of SiCNPs in a CP compared to a spin-coated-thin-film (SCTF) of SiCNPs in a CP. Fiber alignment in the form of a matrix is a key factor

Edge computing brings down storage, computation, and communication services from the cloud server to the network edge, resulting in low latency and high availability. The Internet of things (IoT) devices are resource-constrained, unable to process compute-intensive tasks. The convergence of edge computing and IoT with computation offloading offers a feasible solution in terms of performance. Besides

The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference

Cyber-Physical Systems (CPS) are distributed systems in which the state of the physical system is generally not observable in non-trivial cases, and where state transitions of this physical system can also occur without resulting in immediate changes to observable variables. This poses challenges for the bidirectional synchronisation of the discrete cyber models and the partially continuous physical

Aiming at the problems of complex factors affecting the rate of deception probability of networked of radar nets, the large amount of calculation by Monte Carlo simulation and the inability to quantitatively analyze the influence of various factors on the deception probability of networked, a calculation method of deception probability of networked is proposed. First, according to the homology measurement

Farming is the major profession in several republics for centuries. However, due to the immigration of individuals from rural to urban, there is prevention in farming. The use of modern technology in the precision agriculture field increases productivity and also improves the exports of a country. The productivity may suffer due to different environmental factors, diseases and insects attacks on the

Time division inter-satellite communication and ranging link assignment of BeiDou satellites have made important progress; however, there is still the unsolved issue of integrated communication between ground gateway, aircraft, or even ship, and the BeiDou satellites. Therefore, in this study, we develop a path assignment model based on the idea of clustering and Markov chain. The optimal path is determined

As an important part of urban lifeline networks, the urban power network is threatened by multiple types of intentional attackers, such as criminals, terrorists, illegal employees, etc. Each type of attackers differs remarkably in purposes, strategies and valuations of targets. In order to improve the defense capability of urban power network under the threat of different types of attackers, this study

In this paper, we present a methodological framework for resilience analysis of interdependent critical infrastructure systems and use artificial interdependent power and gas network as an example. We use deep learning to identify network topology attributes and analyze the vulnerability process of interdependent infrastructure systems to different failure scenarios and coupling modes under structural

Herein, a fully integrated thread/textile-based electrochemical sensing device has been demonstrated. A hydrophilic conductive carbon thread, chemically modified with gold nanoparticles through an electrodeposition process, was used as a working electrode (WE). The hydrophilic thread coated with Ag/AgCl and an unmodified bare hydrophilic thread were used as reference electrode (RE) and counter electrode

In transportation networks with stochastic and dynamic travel times, park-and-ride decisions are often made adaptively considering the realized state of traffic. That is, users continue driving towards their destination if the congestion level is low, but may consider taking transit when the congestion level is high. This adaptive behavior determines whether and where people park-and-ride. We propose

IEEE 802.11p is a robust and mature technology for dedicated short-range communication (DSRC) where several field trials have been carried out, and the performance of various vehicle-to-everything (V2X) communication scenarios has been investigated. On the other hand, other IEEE 802.11 or wireless local area network (WLAN) standards have evolved and offered some techniques to improve the 802.11p standard

Technology has become an integral part of contemporary society. The current transition from an industrial society to an information society is accompanied by the implementation of new technologies in every part of human activity. Increasing pressure to apply ICT in critical infrastructure resulted in the creation of new vulnerabilities. Traditional safety approaches are ineffective in a considerable

Nanocarriers, such as liposomes and micelles, were developed to enhance the delivery of therapeutic drugs to malignant tissues. Internal or external stimuli can be applied to achieve spatiotemporal controlled release from these carriers. This will result in enhancing their therapeutic efficacy while reducing toxicity. Mathematical modeling is used to simulate drug release from nanocarriers; this will

Invasive and medical therapy has led to major improvements in cardiovascular disease management, but important challenges remain open. The discovery of a nano-sized system of extracellular vesicles (EVs) is opening new possibilities for reprogramming malfunctioning cells and indicates that EVs can be employed in therapeutic biomedical applications as engineered drug vehicles. Molecular communication

In this article, we propose a new particle swarm optimization–based satellite selection algorithm for BeiDou Navigation Satellite System/Global Positioning System receiver, which aims to reduce the computational complexity of receivers under the multi-constellation Global Navigation Satellite System. The influences of the key parameters of the algorithm—such as the inertia weighting factor, acceleration

Vehicular ad hoc network is a pretty research vibrant area since last decade. It has been successfully used for intelligent transportation system and entertainment purposes for realization of smart cities. However, intermittent connectivity, high routing overhead, inflexible communication infrastructure, unscalable networks, and high packet collision are the key challenges that put hindrances on the

Since the 1980s, we have observed a range of cyberattacks targeting Industrial Control Systems (ICS), some of which have impacted elements of critical national infrastructure (CNI). While there are access limitations on information surrounding ICS focused cyberattacks, particularly within a CNI context, this paper provides an extensive summary of those publicly reported. By identifying and analysing

We have proposed Twin Elliptical Core Photonic Crystal Fiber (TEC-PCF) sensor for the detection of blood glucose level under the influence of hemoglobin components. The main featuring of the proposed biosensor is to detect the wide range of blood glucose content with enhanced sensitivity, by utilizing small length of the fiber. In order to achieve this, we have constructed asymmetric TEC-PCF where

Understanding the structure of communities in a network has a great importance in the economic analysis. Communities are indeed characterized by specific properties, that are different from those of both the individual nodes and the whole network, and they can affect various processes on the network. In the International Trade Network, community detection aims to search sets of countries (or of trade

Dynamic user equilibrium (DUE) is a Nash-like solution concept describing an equilibrium in dynamic traffic systems over a fixed planning period. DUE is a challenging class of equilibrium problems, connecting network loading models and notions of system equilibrium in one concise mathematical framework. Recently, Friesz and Han introduced an integrated framework for DUE computation on large-scale networks

This paper proposes a mobile unmanned aerial vehicle (UAV)-enabled jamming scheme under the probabilistic line-of-sight (LoS) channel model to improve the secrecy of ground wiretap channels in urban areas, where a friendly UAV is deployed to cooperatively transmit jamming signals to confuse the suspicious ground eavesdroppers. Our goal is to maximize the average (expected) secrecy rate by jointly optimizing

Cancer is the most frequent life-threatening disease which has the highest mortality rate throughout the world. Diagnosis of cancer at the early stage can plays a critical role for its effective and successful treatment. Traditional diagnostic methods for cancer screening are costly, time-consuming, and not practical for repeated screenings. However, a biomarker-based cancer diagnosis is emerging as

We investigate the network topology of a comprehensive data set of the world-wide population of corporate entities. In particular, we have extracted information on the boards of all companies listed in Bloomberg’s archive of company profiles in October, 2015, a total of almost 100,000 firms. We provide information on board membership overlaps at various levels, and, in particular, show that there exists

This study renders a location-inventory problem for a closed-loop supply chain network under the circumstance of price-dependent demands, in which there are suppliers/recovering centers, stores and consumer areas. In this respect, the demand is supposed to be correlated, and the inventory of new and returned products are controlled via a continuous review system (Q, r) in the stores. What is more,

This study aims to assess the cybersecurity aspects of nuclear power plants (NPPs) in regards to a digital safety-security interface. In traditional and advanced NPPs, safety and security functions are performed by analogue and digital systems. The risk of unauthorized software changing real-world system behaviors is a major and critical infrastructure safety and security issue. Within this context

Extracellular matrix plays an important role in regulating the behaviors of cells, and utilizing matrix physics to control cell fate has been a promising way for cell and tissue engineering. However, the nanoscale situations taking place during the topography-regulated cell-matrix interactions are still not fully understood to the best of our knowledge. The invention of atomic force microscopy (AFM)

Privacy, security and efficiency are important performance issues in vehicular ad hoc network (VANET), which researchers have tried to address in recent years. This research article proposes a lightweight and privacy-preserving certificateless authentication scheme in fog-assisted VANET using blockchain technology and neuro-fuzzy machine learning technique. A new authentication scheme is designed using

Physical health diseases caused by wrong sitting postures are becoming increasingly serious and widespread, especially for sedentary students and workers. Existing video-based approaches and sensor-based approaches can achieve high accuracy, while they have limitations like breaching privacy and relying on specific sensor devices. In this work, we propose Sitsen, a non-contact wireless-based sitting

In this article, we consider the problem of optimally selecting a subset of transmitters from a transmitter set available to a multiple-input and multiple-output radar network. The aim is to minimize the location estimation error of underlying targets under a power constraint. We formulate it as a minimum-variance estimation problem and show that the underlying variance reduction function is submodular

DNA origami can be applied as a "ruler" for nanoscale calibration or super-resolution fluorescence microscopy with an ideal structure for defining fluorophore arrangement, allowing the distance between fluorophores to be precisely controlled at the nanometer scale. DNA origami can also be used as a nanotag with arbitrary programmable shapes for topological identification. In this paper, we formed a

This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato tubers for plant cell analysis in deep learning (DL) framework which has huge potential in the advancement of plant cell biology research. Indeed, low-cost microscopes coupled with new generation smartphones could open new aspects in DL-based microscopy image analysis, which offers several benefits including

Disruptions to transport networks are inevitable and detrimental to the functioning of society. Improving the resilience of transport networks to disruptive events has, therefore, a significant impact on society. Although the resilience of a transport system depends on the ability of the network to sustain the consequences of initial disruption (i.e. robustness) and quickly recover its performance

An electronic nose is an arrayed gas sensor mimicking the human olfactory system that can analyze and identify a flavour on collecting an odour from an environment. In our experiments, an electronic-nose system based on a surface acoustic wave (SAW) was used to measure the freshness of kiwifruit. 128° YX-LiNbO3 acted as a piezoelectric material; Au was deposited as an electrode and sensing area. With

In the present era, smart and efficient vehicular network architectures are necessary due to fast technological advancements in vehicles. Many problems arise in these complex networks, which can be handled using blockchain and the Internet of Things (IoT). We proposed a comprehensive blockchain based 5G vehicular network architecture, which is cost-effective, scalable, secure, and handles various vehicular

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Following fusion between two or more individual cells, the resulting cellular entity must undergo extensive restructuring of its plasma membrane and cytoskeleton in order to maintain its mechanical and physiological function. In artificial cell fusion that is executed by external triggering, such restructuring could be problematic due to the absence of preconditioning biological signals. In this work

Tubulin is a promising target for designing anti-cancer drugs. Identification of hotspots in multifunctional Tubulin protein provides insights for new drug discovery. Although machine learning techniques have shown significant results in prediction, they fail to identify the hotspots corresponding to a particular biological function. This paper presents a signal processing technique combining resonant

In this paper, we propose a bio-molecular algorithm with O( ${n}^{{2}} + {m}$ ) biological operations, O( $2^{n}$ ) DNA strands, O( ${n}$ ) tubes and the longest DNA strand, O( ${n}$ ), for solving the independent-set problem for any graph G with ${m}$ edges and ${n}$ vertices. Next, we show that a new kind of the straightforward Boolean circuit yielded from the bio-molecular solutions with ${m}$ NAND

In this work, a localized plasmon-based sensor is developed for para-cresol (p-cresol) - a water pollutant detection. A nonadiabatic $40~\mu \text{m}$ of tapered optical fiber (TOF) has been experimentally fabricated and computationally analyzed using beam propagation method. For optimization of sensor’s performance, two probes are proposed, where probe 1 is immobilized with gold nanoparticles (AuNPs)

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