The Experts below are selected from a list of 156 Experts worldwide ranked by ideXlab platform
Vincenzo Stornelli - One of the best experts on this subject based on the ideXlab platform.
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Real-Time Autonomous System for Structural and Environmental Monitoring of Dynamic Events
Electronics, 2018Co-Authors: Gianluca Barile, Alfiero Leoni, Leonardo Pantoli, Vincenzo StornelliAbstract:This paper deals with the definition and analysis of a complete electronic system for the detection and monitoring of stability characteristics in complex scenarios such as structural elements or environmental events. For instance, it may be successfully adopted to detect rockfall events on protection barriers, as well as to monitor landslides or the integrity of structures like bridges and buildings. The system is completely autonomous thanks to the implementation of an energy harvesting architecture and realizes a wireless sensor network whose nodes are auto-configurable, making it possible to freely arrange them in situ. The continuously collected data are relative to acceleration, inclination, position, and temperature of each node. These data are transmitted and stored on a Remote Web Server devoted to the automatic management of alarms and accessible for data consulting. The proposed system is currently operating in different experimental fields in Italy.
Hao Liu - One of the best experts on this subject based on the ideXlab platform.
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Plant Image Analysis Machine Vision System in Greenhouse
2014Co-Authors: Jianlun Wang, Hao Liu, Shuangshaung Zhao, Shuting Wang, Xiaoying Cui, Jianshu ChenAbstract:In this paper, we use greenhouse field plants as studying objects to build a plant image analysis agricultural intelligent machine vision system based on Web control. The system can provide data support for intelligent decision when manage a producing process by acquiring agronomic parameters of plant development and plant nutrition in real-time and Remote through image analysis algorithm and relevant hardware and software platforms. For the software part of the system, we use an assembled installing environment based on Windows, Apache, PHP, MySql as the Web application platform and establish the data structure of B/S network model based on Web. We build an image data base and use the agricultural parameters of plant development and plant nutrition to analyze the image and dynamically publish it on Web. At present, we have measurement algorithm modules include segmentation algorithm, shape recognition algorithm, 3D reconstruction algorithm, ranging algorithm, chlorophyll and nitrogen contents measure algorithm. We use these algorithms to obtain agricultural parameters such as nutrition, developing size, quality, diseases and pests and put thoroughly monitors and alerts into practice. For the hardware part of the system, it is consists of Remote Web Server, machine vision control equipments in field and sensors. The equipments on the platform can practice close-cycle control and condition management. These functions make it possible for the assemblage of internet controlled hardware system.
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Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in a Mobile Computing Environment
IEEE Transactions on Mobile Computing, 2006Co-Authors: Z. Hua, Xing Xie, Hao LiuAbstract:Currently, people gain easy access to an increasingly diverse range of mobile devices such as personal digital assistants (PDAs), smart phones, and handheld computers. As dynamic content has become dominant on the fast-growing World Wide Web (C. Yuan et al., 2003), it is necessary to provide effective ways for the users to access such prevalent Web content in a mobile computing environment. During a course of browsing dynamic content on mobile devices, the requested content is first dynamically generated by Remote Web Server, then transmitted over a wireless network, and, finally, adapted for display' on small screens. This leads to considerable latency and processing load on mobile devices. By integrating a novel Web content adaptation algorithm and an enhanced caching strategy, we propose an adaptive scheme called MobiDNA for serving dynamic content in a mobile computing environment. To validate the feasibility and effectiveness of the proposed MobiDNA system, we construct an experimental testbed to investigate its performance. Experimental results demonstrate that this scheme can effectively improve mobile dynamic content browsing, by improving Web content readability on small displays, decreasing mobile browsing latency, and reducing wireless bandwidth consumption
Carlo Bartolozzi - One of the best experts on this subject based on the ideXlab platform.
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Abdominal aortic aneurysms: virtual imaging and analysis through a Remote Web Server
European Radiology, 2005Co-Authors: Emanuele Neri, Irene Bargellini, Michael Rieger, Andrea Giachetti, Claudio Vignali, Massimiliano Tuveri, Werner Jaschke, Carlo BartolozziAbstract:The study describes the application of a Web-based software in the planning of the endovascular treatment of abdominal aortic aneurysms (AAA). The software has been developed in the framework of a 2-year research project called Aneurysm QUAntification Through an Internet Collaborative System (AQUATICS); it allows to manage Remotely Virtual Reality Modeling Language (VRML) models of the abdominal aorta, derived from multirow computed tomography angiography (CTA) data sets, and to obtain measurements of diameters, angles and centerline lengths. To test the reliability of measurements, two radiologists performed a detailed analysis of multiple 3D models generated from a synthetic phantom, mimicking an AAA. The system was tested on 30 patients with AAA; CTA data sets were mailed and the time required for segmentation and measurement were collected for each case. The Bland-Altman plot analysis showed that the mean intra- and inter-obServer differences in measures on phantoms were clinically acceptable. The mean time required for segmentation was 1 h (range 45–120 min). The mean time required for measurements on the Web was 7 min (range 4–11 min). The AQUATICS Web Server may provide a rapid, standardized and accurate tool for the evaluation of AAA prior to the endovascular treatment.
Cliff C. Zou - One of the best experts on this subject based on the ideXlab platform.
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CCNC - User-side Wi-Fi Evil Twin Attack detection using SSL/TCP protocols
2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), 2015Co-Authors: Omar Nakhila, Erich Dondyk, Muhammad Faisal Amjad, Cliff C. ZouAbstract:Evil Twin Attack (ETA) refers to a rogue Wi-Fi Access Point (AP) that appears to be a legitimate one but actually has been set up to eavesdrop on wireless communications [1]. Most of existing detection techniques assume that the attacker will use the same legitimate wireless network gateway to pass through victim's wireless data. These detection methods will fail if the attacker uses a different gateway, such as using his own broadband cellular connection through his own smartphone. In this paper, we present a new client-side detection method to detect such an ETA that uses a different gateway from the legitimate one. It relies on SSL/TCP connection to an arbitrary Remote Web Server to avoid attacker's misleading message, and trying to detect the changing of gateway's public IP address by switching from one AP to another in the middle of the SSL/TCP connection. The detection method is on the client side which makes it more convenient for users to deploy and ensure their security.
Arturo Rodríguez García - One of the best experts on this subject based on the ideXlab platform.
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Internet of Things Applied in Healthcare Based on Open Hardware with Low-Energy Consumption.
Healthcare informatics research, 2019Co-Authors: Leonardo Juan Ramírez López, Gabriel Alberto Puerta Aponte, Arturo Rodríguez GarcíaAbstract:The Internet of Things (IoT) and its applications are growing simultaneously. These applications need new intelligent devices along heterogeneous networking. Which makes them costly to implement indeed. Platforms and open devices designed for open-source hardware are possible solutions. This research was conducted under an IoT design, implementation, and assessment model for the Remote monitoring of pulse oximetry via oxygen partial saturation (SpO2) and heart rate (HR) with low-energy consumption. This study focused on the development of SpO2 and HR measurements that will allow the monitoring and estimation in real time of the user's state and health related to the established parameters. Measurements were acquired and recorded using a Remote Web Server that recorded the acquired variables for further processing. The statistical analysis data allows comparison of the registered data measured with theoretical models. The IoT model was developed use Bluetooth low-energy devices, which comply with low-cost and open-hardware solutions operated via 'HTTP requests' for data transmission and reception from a cloud Server to an edge device. Network performance assessment was conducted to guarantee the availability and integrity of the acquired values and signals. The system measured SpO2 and HR variables. The most significant result was to achieve energy consumption 20% lower than that of devices in the market. In summary, the acquired data validation based on the IoT model had a transmission error of 0.001% which proves its applicability in healthcare.