Web Monitoring

Background: Developments in an artificial pancreas (AP) for patients with type 1 diabetes have allowed a move toward performing outpatient clinical trials. “Home-like” environment implies specific protocol and system adaptations among which the introduction of remote monitoring is meaningful. We present a novel tool allowing multiple patients to monitor AP use in home-like settings. Methods: We investigated existing systems, performed interviews of experienced clinical teams, listed required features, and drew several mockups of the user interface. The resulting application was tested on the bench before it was used in three outpatient studies representing 3480 h of remote monitoring. Results: Our tool, called DiAs Web Monitoring (DWM), is a web-based application that ensures reception, storage, and display of data sent by AP systems. Continuous glucose monitoring (CGM) and insulin delivery data are presented in a colored chart to facilitate reading and interpretation. Several subjects can be monitored simultaneously on the same screen, and alerts are triggered to help detect events such as hypoglycemia or CGM failures. In the third trial, DWM received approximately 460 data per subject per hour: 77% for log messages, 5% for CGM data. More than 97% of transmissions were achieved in less than 5 min. Conclusions: Transition from a hospital setting to home-like conditions requires specific AP supervision to which remote monitoring systems can contribute valuably. DiAs Web Monitoring worked properly when tested in our outpatient studies. It could facilitate subject monitoring and even accelerate medical and technical assessment of the AP. It should now be adapted for long-term studies with an enhanced notification feature.

Do you really understand your online presence? Are you confident that visitors can use your website? Do you know their motivations? How do online communities perceive your company? To innovate and adapt your business quickly, you must know the answers to these questions. Complete Web Monitoring demonstrates how to measure every aspect of your web presence -- including analytics, backend performance, usability, communities, customer feedback, and competitive analysis -- whether you're running an e-commerce site, a community, a media property, or a Software-as-a-Service company. This book's concrete examples, clear explanations, and practical recommendations make it essential for anyone who runs a website. With this book you will: Discover how visitors use and interact with your site through web analytics, segmentation, conversions, and user interaction analysis Find out your market's motivations with voice-of-the-customer research Measure the health and availability of your website with synthetic testing and real-user monitoring Track communities related to your online presence, including social networks, forums, blogs, microblogs, wikis, and social news aggregators Understand how to assemble this data into clear reports tailored to your organization and audience You can't fix what you don't measure. Complete Web Monitoring shows you how to transform missed opportunities, frustrated users, and spiraling costs into online success. "This is a very comprehensive view of just about everything one needs to know about how websites work and what one needs to know about them. I'd like to make this book required reading for every employee at Gomez." -- Imad Mouline, CTO of Gomez

The development of communication technologies has created opportunities for Web monitoring and home care in medical practice. Due to voluminous data involved in Web based home care, intelligent systems are needed to identify if physician alert is needed and to identify the data that needs to be transmitted. Neural networks are generally used as intelligent tools, but the reliability of a single network may be questionable. In the presented study, the technique of committee neural networks for intelligent Web monitoring was developed, and the reliability of the committee neural networks was evaluated in relation to single networks. The committee neural networks based on a majority opinion of its member networks provided 100% correct results. On the other hand, individual networks proved to be less reliable and provided less than 100% correct results. Committee neural networks with a majority voting offer powerful potential tools for intelligent Web monitoring using home care devices.

A new trend involves Web services such as Twitter beginning to publish streaming Web APIs that enable partners and end users to retrieve streaming data. By combining such push-based Web services and existing pull-based Web services, it is now possible for us to understand the current status or trends of the world in a more real-time way, such as real-time tracking of infectious disease, real-time crime prediction, or real-time marketing, and so various innovative business services are possible. For a system architecture to implement such services, the services are normally built from the scratch, and the performance and scalability depend upon the engineers' skills. In this paper we propose a real-time Web monitoring system called gStreamWebh on top of a stream computing system called System S developed by IBM Research. The Stream Web system allows developers to easily describe their analytical algorithms for a variety of kinds of Web streaming data without worrying about the performance and scalability, and provides real-time and scalable Web monitoring for massive amounts of data. As an experimental proof-of-concept application, we built an application that monitors a list of keywords in the Twitter streaming data, and that displays any messages including the specified keywords onto a map of the physical location (from Google) where the message was posted. Our system can handle nearly 30 thousand Twitter messages per second on a system with 8 computing nodes. This prototype application confirms that we can build real-time Web monitoring systems while satisfying the needs for high software productivity and for system scalability.

Combining with the characteristic of web technology and field working requirement, Embedded Web Server (EWS) integrates the information acquisition and diffusion into the field embedded measurement and control equipments by the standard interface and communication protocol. And the EWS in the equipments can provide the browser-based operation and control interface through internet. Ethernet for Plant Automation (EPA) is the first standard in the industrial automation field of china, which has been accepted and published by international standard organization and has been included in Type 14 of the fourth IEC61158 Fieldbus. Taking the high-adaptability and high-reliability of embedded system for the special work requirements in industrial field, a dynamic web monitoring system based on EPA protocol under embedded ARM Linux operating system has been designed and developed in this paper, which using common gateway interface(CGI) and script service program XSP to realize the information acquisition and real-time monitoring of EPA devices. It can meet the remote monitoring requirements of the enterprise production process and improve its productive efficiency and management level.

Background With rapid evolution of the internet and web 2.0 apps, online sources have become one of the main channels for most people to seek food risk information. Thus, it would be compelling to analyze the coverage of online information sources related to biological, chemical, and nutritional food risks, and related safety issues, to understand the type of content that online readers are exposed to, possibly influencing their perceptions. Objective The aim of this study was to identify the types of online sources that are predominantly covering this theme, and the topics that have received the most attention in terms of coverage and engagement on social media. Methods We performed an analysis of big data related to food risks by combining web monitoring techniques, content analysis, and data visualization of a large amount of unstructured text. Using a dictionary-based approach, a web monitoring app was instructed to automatically collect web content referring to the food risk and safety field. Data were retrieved from March 2017 to February 2018. The validated corpus (N=12,163) was subject to automatic and manual content analysis. Results were combined with descriptive statistics extracted from Web-Live and processed with Qlik Sense. Results Nutritional risks and news about outbreaks, controls, and alerts were the most widely covered topics. Thematic sources devoted major attention to nutritional topics, whereas national sources covered food risks, especially during food emergencies. Regarding engagement on social media, readers’ interest was higher for nutritional topics and animal welfare. Although traditional sources still publish a great amount of content related to food risks and safety, new mediators have emerged as alternative sources for food risk information. Conclusions This mixed methodological approach was demonstrated to be a useful means for obtaining an accurate characterization of the online discourse on food risks, and can provide insight into how the monitored sources contribute to the process of risk communication.

Web Monitoring 2.0 supports the complex information needs of clients who probe multiple information sources and generate mashups by integrating across these volatile streams. A proxy that aims at satisfying multiple customized client profiles will face a scalability challenge in trying to maximize the number of clients served while at the same time fully satisfying complex client needs. In this paper, we introduce an abstraction of complex execution intervals, a combination of time intervals and information streams, to capture complex client needs. Given some budgetary constraints (e.g., bandwidth), we present offline algorithmic solutions for the problem of maximizing completeness of capturing complex profiles.

Tujuan penelitian adalah untuk (a) memberikan informasi lowongan pekerjaan secara real time. (b) mengetahui informasi lowongan pekerjaan secara cepat dan akurat. (c) mengirimkan cv pelamar dengan efektif dan efesien. Dalam penelitian ini, metode pengumpulan data yaitu dengan metode studi kasus dan metode pengembangan sistem yaitu dengan model waterfall. Kemudian dilengkapi perangkat Android yang akan digunakan dalam penginputan data informasi lowongan pekerjaan ataupun data informasi pelamar dan Web Monitoring sebagai penyedia informasi data terpusat yang ada di dinas sosial tenaga kerja. Dari hasil penelitian ini diharapkan mendapat informasi lowongan pekerjaan dan data pelamar yang valid sesuai dengan informasi sebenarnya. Serta tidak adanya penyalah gunaan dan manifulasi data. Khususnya informasi dari lowongan pekerjaan yang ada di kabupaten karawang.     Kata Kunci : Lowongan pekerjaan, real time, perangkat Android, Web Monitoring.

ABSTRAK Tujuan penelitian adalah untuk (a) Mengetahui status dan jumlah penduduk secara real time. (b) Membuat rekam jejak tempat tinggal penduduk. Dalam penelitian ini, metode yang digunakan adalah metode pengambilan sample, dengan dilengkapi perangkat Android yang akan digunakan dalam penginputan data penduduk dan Web Monitoring sebagai penyedia informasi data penduduk. Dari hasil penelitian ini diharapkan mendapat data penduduk yang valid sesuai dengan kondisi sebenarnya. Serta tidak adanya penyalah gunaan dan manifulasi data penduduk. Khususnya bagi masyarakat daerah perumahan yang berada di Desa Sukasari Kecamatan Purwasari Kabupaten Karawang. Kata Kunci : Real time, rekam jejak, perangkat Android, Web Monitoring.

A general packet radio service (GPRS) based remote Web monitoring system for load control terminal is developed. This system consists of two parts: the load control terminal containing embedded GPRS modules which are distributed at monitoring points and the host server located in monitoring center. The load control terminal can be monitored by means of Web access of browser, the remote monitoring of the voltage, current, total active and reactive electricity quantities of threes phases, fault of the power cable and load condition is implemented. In this system the GPRS is used as the communication channel, so the proposed system possesses following advantages: good real-time performance, high reliability and less investment. On-site experimental operation shows that the proposed system is effective.