As the key technology for Internet of things, wireless sensor networks have received more attentions in recent years. Mobile localization is one of the significant topics in wireless sensor networks. In wireless sensor network, non-line-of-sight propagation is a common phenomenon leading to the growing non-line-of-sight error. It is a fatal impact for the localization accuracy of the mobile target

The world is embracing the presence of connected autonomous vehicles which are expected to play a major role in the future of intelligent transport systems. Given such connectivity, vehicles in the networks are vulnerable to making incorrect decisions due to anomalous data. No sophisticated attacks are required; just a vehicle reporting anomalous speeds would be enough to disrupt the entire traffic

Visible light communication (VLC) is nowadays envisaged as a promising technology to enable new classes of services in intelligent transportation systems ranging, e.g., from assisted driving to autonomous vehicles. The assessment of the performance of VLC for automotive applications requires as a basic step a model of the transmission pattern and propagation of the VLC signal when real traffic-lights

Wireless sensor network is a hot research topic with massive applications in different domains. Generally, wireless sensor network comprises hundreds to thousands of sensor nodes, which communicate with one another by the use of radio signals. Some of the challenges exist in the design of wireless sensor network are restricted computation power, storage, battery and transmission bandwidth. To resolve

Advanced sensing is a key ingredient for intelligent control in Industrial Internet of Things (IIoT) environments. Coupled with enhanced communication capabilities, sensors are becoming increasingly vulnerable to cyberattacks, thereby jeopardizing the often safety-critical underlying cyber-physical system. One prominent approach to sensor-level attack detection in modern industrial environments, named

Vehicular ad hoc networks have enabled applications for real-time data sharing such as safety and infotainment services in smart cities. Notably, with the widespread adoption of the internet of things (IoT), the back-end networks are not designed to carry large amounts of data as it leads up to network congestion and consumes a significant amount of energy. Moreover, the IoT sensor data requires real-time

Tissue P systems provide distributed parallel devices inspired by actual biological reality, where communication rules are used for object exchange between cells (or between cells and the environment). In such systems, the environment continuously provides energy to cells, so the cells are very dependent on the objects in the environment. In biology, there is a mechanism called homeostasis, that is

Access points in wireless local area networks are deployed in many indoor environments. Device-free wireless localization systems based on available received signal strength indicators have gained considerable attention recently because they can localize the people using commercial off-the-shelf equipment. Majority of localization algorithms consider two-dimensional models that cause low positioning

In the recent past, a significant increase has been observed in the use of underwater wireless sensor networks for aquatic applications. However, underwater wireless sensor networks face several challenges including large propagation delays, high mobility, limited bandwidth, three-dimensional deployments, expensive manufacturing, and energy constraints. It is crucial for underwater wireless sensor

Low dietary calcium is very common in many populations, contributing to nutritional rickets/osteomalacia in children/adults and increasing the risk of several health problems. Calcium is a nutrient of concern as the recommended nutrient requirements are difficult to meet in the absence of dairy products. The provision of culturally acceptable calcium‐fortified foods may improve calcium intake when

Interventions to increase adherence to micronutrient supplementation during pregnancy: a protocol for a systematic review Filomena Gomes,1 Gilles Bergeron,1 Megan W. Bourassa,1 Diana Dallmann,2 Jenna Golan,3 Kristen M. Hurley,4,5 Shannon E. King,4 Ana Carolina Feldenheimer da Silva,6 and Saurabh Mehta3 1The New York Academy of Sciences, New York City, New York. 2School of Human Nutrition, McGill University

With the incoming of 5G communications, Vehicular Networks have the hope to achieve ultra-high data transmission rate with extremely low end-to-end delay. However, the dynamic nature of transportation traffic and increased data bandwidth demands are the major obstacles to achieve high transmission rate in Vehicular-to-Anything (V2X) Networks. To overcome these obstacles, this paper presents a novel

With the rapid development of cloud computing, an increasing number of data owners are willing to employ cloud storage service. In cloud storage, the resource-constraint data owners can outsource their large-scale data to the remote cloud server, by which they can greatly reduce local storage overhead and computation cost. Despite plenty of attractive advantages, cloud storage inevitably suffers from

In an IEEE 802.11 Distributed Coordination Function–based wireless network with multiple hops, a node operates on its own with several predefined data rates (i.e. following modulation and coding schemes). Moreover, the IEEE 802.11 Distributed Coordination Function node’s communication is characterized by transmission and carrier-sensing distances. The transmission one is, in general, reverse proportional

This work reports the fabrication, characterization and testing for pH sensitivity of dielectric modulated MOS-HEMT(Metal oxide semiconductor- high electron mobility transistor) devices for bio-sensing applications. The primary aim here is to develop high sensing devices for bio-detections. The oxide based gate area is used in ensuring the device performance through pH detection done prior to packaging

This paper investigates the implementation of a dynamic reference point scheme to capture traveler’s mental characteristics, with their day-to-day route choice behavior and heterogeneity. The traveler’s heterogeneity focuses on their different risk attitudes. On each day, travelers choose the routes based on their estimated travel costs, which can be affected by the reference point structure and its

A new trend in network management that started to gain popularity in recent years is the Software-Defined Networking (SDN). By decoupling the control plane from the data plane, SDN provides a centralized view and more flexibility, scalability, and global knowledge of the entire network. In a previous paper, we presented ROAMER, a routing protocol that exploits Roadside Units (RSUs) in order to route

Electronization and intelligentization are gradually becoming the basic characteristics of modern automobiles. With the continuous deepening of intelligent network integration, automotive information security has become increasingly prominent. The in-vehicle network system is responsible for controlling the state of intelligent connected vehicles and significantly affecting driving safety. This research

The protein fold recognition is one of the important tasks of structural biology, which helps in addressing further challenges like predicting the protein tertiary structures and its functions. Many machine learning works are published to identify the protein folds effectively. However, very few works have reported the fold recognition accuracy above 80% on benchmark datasets. In this study, an effective

Eukaryotic initiation factor 2 (eIF2) plays a fundamental role in the regulation of protein synthesis. Investigations have revealed that the regulation of eIF2 is robust against intrinsic uncertainties and is able to efficiently counteract them. The robustness properties of the eIF2 pathway against intrinsic disturbances is also well known. However the reasons for this ability to counteract stresses

Cybersecurity comprised all the technologies and practices that protect data as well as computer and network systems. In this article, we develop four course modules on critical cybersecurity topics that can be adopted in college-level cybersecurity courses in which these topics are covered. Our goal for developing these course modules with the hands-on labs is to increase students’ understanding and

In this work, we present a paradigm bridging electromagnetic (EM) and molecular communication through a stimuli-responsive intra-body model. It has been established that protein molecules, which play a key role in governing cell behavior, can be selectively stimulated using Terahertz (THz) band frequencies. By triggering protein vibrational modes using THz waves, we induce changes in protein conformation

Wonder is often assumed, without question, to be a good thing. As a response to the world around us, however, wonder is as complex and multifaceted as it is celebrated. This essay attempts to shine a critical light on expressions of wonder that privilege wonder at science and scientific knowledge over and above experiences of wonder in the natural world, as set forth by Richard Dawkins and E. O. Wilson

This paper tackles the problem of selecting stable relays for Optimized Link State Routing protocol (OLSR) in urban Internet of Vehicles (IoV) in the presence of Unmanned Aerial Vehicles (UAVs). With the evolution of Internet of Things (IoT), IoV emerged from the conventional vehicular ad-hoc network to enable Vehicle to Everything (V2X) communication through different routing protocols. In OLSR protocol

Esophageal dysphagia is a common symptom in adults. Fluoroscopic contrast studies, endoscopy, and esophageal manometry have been used in the diagnosis of esophageal dysphagia for many years. The diagnostic yield has been improved with new test protocols that highlight abnormal bolus transit in the esophagus and outflow obstruction, as well as new high‐definition and high‐resolution technical advances

Gastroesophageal reflux disease (GERD) is a common clinical condition for which our understanding has evolved over the past decades. It is now considered a cluster of phenotypes with numerous anatomical and physiological abnormalities contributing to its pathophysiology. As such, it is important to first understand the underlying mechanism of the disease process for each patient before embarking on

Online mentoring can be useful for supporting girls in science, technology, engineering, and mathematics (STEM). Yet, little is known about the differential effects of various online mentoring formats. We examine the general and relative effectiveness of three online mentoring formats, one‐on‐one mentoring, many‐to‐many group mentoring, and a hybrid form of the two. All three formats were implemented

Wireless Sensor Networks are very convenient to monitor structures or even materials, as in McBIM project (Materials communicating with the Building Information Modeling). This project aims to develop the concept of “communicating concretes,” which are concrete elements embedding wireless sensor networks, for applications dedicated to Structure Health Monitoring in the construction industry. Due to

Our food systems depend on complex interactions between farmers and food producers, local and federal governments, and consumers. Underlying these interactions are economic, environmental, and societal factors that can impact the types of food available, access to food, affordability, and food safety. The recent SARS‐CoV‐2 global pandemic has affected multiple aspects of our food systems, from federal

In this paper we propose a simple general framework for obtaining facility dependent distance decay function in competitive location models. As the distance increases, the decay in patronage by more attractive facilities is slower than the decay by less attractive facilities. This implies that by using only the distribution patterns of neighborhoods from which facility’s patrons originated, the facility

The robustness of the critical infrastructure system is determined by the validity and vulnerability of its individual elements and the links between them. For this reason, these elements are the basic building blocks of the system, which must be protected from security threats. The level of their physical protection is currently assessed through quantitative models of physical protection systems (PPS)

Currently, China's urban gas supervisory control and data acquisition (SCADA) system faces numerous problems, such as weak information system architecture, incomplete information (& communication) infrastructure design, and an uneven development level. A capable comprehensive evaluation method is urgently needed to achieve a hierarchical design of their infrastructure. This study introduces a multi-level

In wireless sensor networks, sensors are extremely vulnerable to false positive and false negative attacks due to their stringent energy and computational constraints. Several en-route filtering schemes mainly focus on saving energy through early detection of false data within a short distance against these attacks; however, they cannot immediately block the false data injected by compromised nodes

In the hybrid communication scenario of the Heterogeneous Cloud Radio Access Network and Device-to-Device in 5G, spectrum efficiency promotion and the interference controlling caused by spectrum reuse are still challenges. In this article, a novel resource management method, consisting of power and channel allocation, is proposed to solve this problem. An optimization model to maximum the system throughput