A lightweight and cost effective edge intelligence architecture based on containerization technology

World Wide Web - The integration of Cloud computing and Internet of Things led to rapid growth in the edge computing field. This would not be achievable without combining the data centers’...     

Activation effect of silver nanoparticles on the photoelectrochemical performance of mesoporous TiO2 nanospheres photoanodes for water oxidation reaction

This work reports the photodeposition of Ag nanoparticles onto mesoporous TiO₂ (m-TiO₂) pre-formed by the evaporation-induced self-assembly method. Photoanodes of Ag/m-TiO₂ assembled by electrophoretic disclose a superior photoelectrochemical (PEC) performance for water oxidation reaction related to m-TiO₂. The photoanodes physicochemical investigations witness the even arrangement of m-TiO₂ nanospheres particles over the substrates. The PEC study displays a steady photocurrent density of 1 mAcm^?2 at ?1.0 V vs SCE was attained for Ag/m-TiO₂ photoanodes in visible light illumination and it is nearly twofold enhancements in comparison with m-TiO₂ photoanodes. The observed superior PEC nature was attributed to the reduced band-gap energy and charge recombination that caused from the incorporation of plasmonic photodeposited Ag nanoparticles on m-TiO₂ nanospheres photoanodes.     

Inkjet-Printed Polymer Films for the Detection of Organic Vapors

Inkjet printing has been used to prepare polymeric thin films for gas sensing. The conductive polymer poly(3,4-ethylene dioxythiophene) doped with polystyrene sulfonated acid (PEDOT-PSS) was used as the organic ink. The electrical resistance of the printed films was monitored during exposure to atmospheres containing alcohol vapors. Thin films (one to two printed layers) exhibited a sharp, nonreversible increase in film resistance (a "chemical fuse") which was attributed to a change in morphology of the PEDOT-PSS layer. The response time of the thin films was 6-10 min, depending on the film thickness. A longer response time was observed for three inkjet-printed layers. In contrast, thick films (> four printed layers) showed a reversible response (except for the initial exposure) to the same vapor. This was thought to originate from a screening effect between the positively charged PEDOT and negatively charged PSS dopant. The response times of the thick films were 8 and 6 min for methanol and ethanol, respectively. For both types of response, the inkjet-printed layers were found be more sensitive to methanol (0.05% ppm^-1) than to ethanol (0.03% ppm^-1)     

Prediction of COVID-19 Confirmed Cases Using Gradient Boosting Regression Method

The fast spread of coronavirus disease (COVID-19) caused by SARSCoV-2 has become a pandemic and a serious threat to the world. As of May 30, 2020, this disease had infected more than 6 million people globally, with hundreds of thousands of deaths. Therefore, there is an urgent need to predict confirmed cases so as to analyze the impact of COVID-19 and practice readiness in healthcare systems. This study uses gradient boosting regression (GBR) to build a trained model to predict the daily total confirmed cases of COVID-19. The GBR method can minimize the loss function of the training process and create a single strong learner from weak learners. Experiments are conducted on a dataset of daily confirmed COVID-19 cases from January 22, 2020, to May 30, 2020. The results are evaluated on a set of evaluation performance measures using 10-fold cross-validation to demonstrate the effectiveness of the GBR method. The results reveal that the GBR model achieves 0.00686 root mean square error, the lowest among several comparative models.     

Ground water resources in fayoum area,Egypt

The Fayoum area is located to the west of the Nile Valley, southwest of Cairo. It is a depression of an area of about 2000 km² oriented in NW/SE direction. The Fayoum Province is connected to the Nile Valley by an old channel.To the northwest of the Fayoum area lies Quaroon lake with a salinity of about 4%, which is close to that of seawater. As a result of the geological structure of this area, about 7 springs are found and scattered in the area.The studied area gets its main fresh water supplies from Bahr Yousel Canal. However, a considerable quantity of water is supplied from ground-water recharged from the cracked and cavernous limestone.A combination between the chemical and isotopic analyses is given from evaluation of the water resources.It is found that groundwater is recharged from the Nile and not from Bahr Yousef. However, local groundwater is regarded as a source for some water inflow to Bahr Yousef. The recharge pattern of the groundwater is given and the contribution of the salty water of Quaroom lake is discussed.     

A Cost-Effective Approach for NDN-Based Internet of Medical Things Deployment

Nowadays, healthcare has become an important area for the Internet of Things (IoT) to automate healthcare facilities to share and use patient data anytime and anywhere with Internet services. At present, the host-based Internet paradigm is used for sharing and accessing healthcare-related data. However, due to the location-dependent nature, it suffers from latency, mobility, and security. For this purpose, Named Data Networking (NDN) has been recommended as the future Internet paradigm to cover the shortcomings of the traditional host-based Internet paradigm. Unfortunately, the novel breed lacks a secure framework for healthcare. This article constructs an NDN-Based Internet of Medical Things (NDN-IoMT) framework using a lightweight certificateless (CLC) signature. We adopt the Hyperelliptic Curve Cryptosystem (HCC) to reduce cost, which provides strong security using a smaller key size compared to Elliptic Curve Cryptosystem (ECC). Furthermore, we validate the safety of the proposed scheme through AVISPA. For cost-efficiency, we compare the designed scheme with relevant certificateless signature schemes. The final result shows that our proposed scheme uses minimal network resources. Lastly, we deploy the given framework on NDN-IoMT.     

DL-HAR: Deep Learning-Based Human Activity Recognition Framework for Edge Computing

Human activity recognition is commonly used in several Internet of Things applications to recognize different contexts and respond to them. Deep learning has gained momentum for identifying activities through sensors, smartphones or even surveillance cameras. However, it is often difficult to train deep learning models on constrained IoT devices. The focus of this paper is to propose an alternative model by constructing a Deep Learning-based Human Activity Recognition framework for edge computing, which we call DL-HAR. The goal of this framework is to exploit the capabilities of cloud computing to train a deep learning model and deploy it on lesspowerful edge devices for recognition. The idea is to conduct the training of the model in the Cloud and distribute it to the edge nodes. We demonstrate how the DL-HAR can perform human activity recognition at the edge while improving efficiency and accuracy. In order to evaluate the proposed framework, we conducted a comprehensive set of experiments to validate the applicability of DL-HAR. Experimental results on the benchmark dataset show a significant increase in performance compared with the state-of-the-art models.     

Origin of subsurface water in khartoum province,Sudan

The study of the groundwater resources in Khartoum Province and the possibilities of their development have led to the question of hydrochemical variation with subsurface water origin.A combination between hydrogeological conditions with chemical and isotopic analyses is given for evaluation of the water resources.It is found that the principal water bearing formation are Nubia sandstone, El Gazira formation and the alluvial wadi deposits.The storage capacity of the different aquifers as well as annual storage change are estimated.The hydrochemical composition of the aquifers reflects the continental NaHCO₃ and Na₂SO₄ water types.It is found that subsurface water is recharged from pluvial periods and present running water.Local groundwater is regarded as a source for some water inflow to running water.