Several applications, such as smart cities, homes and hospitals adopt Internet of Things (IoT) networks to collect data from IoT devices. The incredible growing speed the number devices congests large amount data, which are streamed centers for further analysis, overload centers. In this paper, we implement a fog computing platform that leverages end devices, edge networks, serve applications. focus on implementing platform, dynamically pushes programs pushed pre-process before transmitting...

Out-patient medication administration has been identified as the most error-prone procedure in modern healthcare. Under or over doses due to erratic in-takes, drug-drug drug-food interactions caused by un-reconciled prescriptions and absence of in-take enforcement monitoring mechanisms have errors become common cases all medical errors. Most were made when patients bought different prescribed over-the-counter medicines from several drug stores use them at home without little no guidance....

Modern Internet-of-Things (IoT) applications produce large amount of data and require powerful analytics approaches, such as Deep Learning to extract useful information. Existing IoT transmit the resource-rich centers for analytics. However, it may congest networks, overload centers, increase security vulnerability. In this paper, we implement a platform, which integrates resources from (servers) end devices (IoT devices). We launch distributed among without sending everything centers....

Dynamic hand gesture recognition has evolved as a prominent topic of computer vision research due to its vast applications in human–computer interaction, robotics, and other domains. Although there are numerous related studies, the state-of-the-art (SOTA) methods over-parametrized. Specifically, number model parameters is quite large, which results high-computational costs. This work, referring Song's ResGCN, designs an efficient lightweight graph convolutional network (GCN), named...

This paper presents the architecture and implementation of an automatic medication dispenser for users who take medications without close professional supervision. By relieving user from error-prone tasks interpreting directions administrating accordingly, device can improve rigor in compliance prevent serious errors. taking advantage scheduling flexibility provided by directions, makes user's schedule easy to adhere tolerant tardiness whenever possible. The scheduler controller do this work...

Out-patient medication administration was identified as the most error-prone procedure in modern healthcare. Most errors were made when patients acquired prescribed and over-the-counter medicines from several drug stores use them at home without proper guidance. In this paper, we introduce Wedjat, a smart phone application that helps to avoid these mistakes. Wedjat can remind its users take correct on time keep an in-take record for later review by healthcare professionals. has two...

Modern IoT analytics are computational and data intensive. Existing mostly hosted in cloud centers, may suffer from high latency, network congestion, privacy issues. In this paper, we design, implement, evaluate a fog computing platform that runs distributed way on multiple devices, including edge servers, data-center servers. We focus the core optimization problem: making deployment decisions to maximize number of satisfied analytics. carefully formulate problem design an efficient...

Many disaster warning and response systems can improve their surveillance coverage of the threatened area by supplementing in situ remote physical sensor data with crowdsourced human captured sent people area. This paper presents fusion methods which enable a crowdsourcing enhanced system to use synergistically its quality decisions. The are built on results classical statistical detection estimation theory value decision coherent way. They building blocks central unit support for early applications.

Images, as a product evolving alongside civilization, develop similarly to natural languages with the advancement of civilization. Not only are images abundant in daily life, but also influenced by technology shaping their forms, embodying various characteristics they evolve time. Language is sequence symbols that represents thoughts. While written language typically associated close integration text and sound, combination visual perception, communicative power image no less significant....

Coccomyxa subellipsoidea is an oleaginous, non-motile unicellular green microalga isolated from Antarctica, and attractive candidate for CO2 fixation biomass production. C. the first polar alga whose genome has been sequenced. Understanding structure of photosystems can provide more information about conversion light energy into chemical under extreme environments. Photosystems I (PSI) one two highly conserved cyanobacteria to vascular plants, associates with a large amount outer...

In tissue engineering, foreign body reactions (FBRs) that may occur after the insertion of medical implants are a considerable challenge. Materials currently used in mainly metals non-organic, and lack biocompatibility absence immune regulations lead to fibrosis long periods implantation. Here, we introduce highly biocompatible hybrid interface graphene oxide (GO) collagen type I (COL-I), where topological nanostructure can effectively inhibit differentiation fibroblasts into myofibroblasts....

The IPv6 routing protocol for low-power and lossy networks (RPL) is a widely used internet of things (IoT). However, there no RPL-based designed real-time effective in fire incident scenario. characteristics sensor are that sensors or IoT devices continuously broken, which varies the graph RPL continuously. Therefore, this study proposes an emergency (EMRPL), can predict trajectory effectively transmit sensing data during real-time. Compared with RPL, EMRPL increase packet delivery ratio....

Underwater Wireless Sensor Networks (UWSNs) are widely used to collect data in the marine environment. Location and time essential aspects when sensors data, particularly case of location-aware data. Many studies on terrestrial sensor networks consider locations as where is collected focus positioning fixed. However, underwater mobile change continuously. Localization schemes designed for static need run periodically update consume considerable power increase communication overhead; hence,...

Medication dispensers treated in this paper are designed to help improve compliance by users who live at homes and take medications over long periods of time. The first presents an overview medication specifications that define constraints for dispenser components administer as specified. When given a specification defined it, the scheduler checks consistency feasibility schedules meet constraints. Several basic algorithms needed these purposes described evaluated.

We describe here the prescription algebra and its implementation for medication authoring tools. The tools are parts of use process, which consists entry systems, tool, scheduling specification, scheduler, programmable pill dispenser. A tool aids pharmacists to collect integrate prescriptions, verify drug-drug interactions amongst prescriptions one took prescribed duration, generate specifications dispensers. design a correctly complete work. have implemented platform-independent using JAVA....

We demonstrate a managed edge computing platform for Internet-of-Things (IoT) devices, which supports dynamic deployment of virtualized containers running distributed analytics. build model city, and install multiple Raspberry Pis as minions, mini PC the master. Through web dashboard on master, we show how users can remotely monitor, manage, upgrade IoT analytics devices. Multiple concrete analytics, namely: (i) air quality (ii) sound classifier, (iii) image recognizer are demonstrated....

Deploying static beacons to help sensor localization is a common approach in wireless network. Alternatively, adopting mobile beacon travel along specific trajectory and broadcast its locations at points more efficient. Therefore, path planning of the originally focused on finding shortest length minimum points, such as Scan Hilbert, decrease power consumption. More recently, increasingly attempted achieve higher accuracy, Double-scan Z-scan. However, optimal trade-off between efficiency...