A wireless multi-sensor subglacial probe: design and preliminary results

This paper introduces a new way to investigate in situ processes, the wireless multi-sensor probe, as part of an environmental sensor network. Instruments are housed within a 'probe' which can move freely and so behave like a clast. These were deployed in the ice and till at Briksdalsbreen, Norway. The sensors measure temperature, resistivity, case stress, tilt angle and water pressure and send their data to a base station on the glacier surface via radio links. These data are then forwarded by radio to a reference station with mains power 2.5 km away, from where they are sent to a web server in the UK. The system deployed during 2004/05 was very successful and a total of 859 probe days worth of data from the ice and till were collected, along with GPS, weather and diagnostic data about the system

Web based applications for energy management system incorporated network reconfiguration using genetic algorithm / Wan Adnan Wan

The Web Based Applications for Energy Management System in UiTM has established itself as a strong medium for distributed computing: a network user interface that is powerful and an independent platform. This research was involved with the development of Web Based Applications for Energy Management System for providing Web application system, Web monitoring System and Genetic algorithm Based Network Reconfiguration Technique for loss minimization in the UiTM Distribution System. Web Based Applications for Energy Management System can be broadly classified into three basic methods. The Web Monitoring System is a sort of information system in which during a certain time on a systematic way, data are being collected, handled, managed, analyzed and presented data from energy meter (33 ION™ ). The Web Application System program is designed for the client to configure a system (e.g calculates a load flow). The development on Web Application system uses An ActiveX technology approach. The Genetic Algorithm Based Network Reconfiguration Technique for loss minimization in the UiTM Distribution System is also proposed based on general combinatorial optimization algorithm. The development uses language Active Server Pages (ASP), HTML and C/C++. This program was tested on a Windows platform, which is a typical development environment for Web Based Applications for Energy Management System in UiTM. It provides access to UiTM’s personnel via Internet or Network UiTM. The results show that optimal configuration of 32 number of feeder or the substation in UiTM could provide loss minimization, reduces the active power loss in a power system at UiTM distribution network

A Hypothetical Database-Driven Web-Based Meteorological Weather Station with Dynamic Datalogger System

This paper proposes the development and implementation strategies of a hypothetical database-driven web-based meteorological (meteo) weather station with a dynamic datalogger system to provide up-to-the-minute real-time ground-based weather information online to any interested client. The meteo weather station will provide weather data/information for eight parameters namely: relative humidity; solar radiance; wind speed; wind direction; barometric pressure; temperature; nefobasimeter for monitoring and measuring cloud height, thickness and number of layers detection; and rainfall. The hypothetical design present techniques that can be used to capture and log meteo data in a dynamic relational database management system (DRDBMS) and implements a TCP/IP network server. The meteo weather information will be collected from sensors incorporated into measuring instruments and transmitted via 1–Wire network and stored in the TINI’s non–volatile static random access memory (NV-SRAM). The TINI processes and uploads the information over a TCP/IP network via a switch, router, common gateway interface (CGI), very small aperture terminal (VSAT) via an Internet service provider (ISP) to the Internet for any interested user in the world. More so, although the acquired data will be made available as they are being logged to both the Internet and the database (DRDBMS) but the data will be automatically deleted every 24 hours at 00:00G MT from the TINI’s NV-SRAM to free the memory for the next day data at the same 00:00G MT. As a result of this, the DRDBMS which is an object for data/information storage using the MySQL stores the meteo data/information which can be retrieved by any interested client on request. However, the request will be made possible via the use of web pages, where the each meteo data/information will be displayed and accessed using special user login codes (username and password) upon subscription. Keywords: DBMS, Dynamic datalogger, embedded systems, html, hypothetical weather station, JavaScript, meteorology, MySQL, PHP, TCP/IP protocol, Tiny INternet interface (TINI), WAMP server, web development

A World-Wide Net of Solar Radio Spectrometers: e-CALLISTO

Radio spectrometers of the CALLISTO type to observe solar flares have been distributed to nine locations around the globe. The instruments observe automatically, their data is collected every day via internet and stored in a central data base. A public web-interface exists through which data can be browsed and retrieved. The nine instruments form a network called e-CALLISTO. It is still growing in the number of stations, as redundancy is desirable for full 24h coverage of the solar radio emission in the meter and low decimeter band. The e-CALLISTO system has already proven to be a valuable new tool for monitoring solar activity and for space weather researc

Design and Development a Novel Web-based GIS for Surveillance and Monitoring of Diarrhea by Using of Free Open Source Software

The prevalence of diarrhea is viewed as a serious problem greatly affecting the society. The plan to prevent and control the spread of diarrhea requires large amounts of data for data processing. Disease prevalence situation is still represented in elusive form. Therefore; to create people understands of diarrhea conditions; a Web-based GIS was developed for surveillance and monitoring of diarrhea in Mahasarakham Province. The main gold of this study was to represent statistical data on diarrhea collected during 2008-2011 by applying Free Open Source Software GIS technology for surveillance and monitoring of diarrhea in Mahasarakham Province. Besides; it aimed to represent novel spatial data and attribute data on diarrhea via internet network; facilitating data view in map form as well as planning surveillance and monitoring of diarrhea with GIS technology. Results found that a novel Web-based GIS user-friendly system for surveillance and monitoring of diarrhea is efficient and practical. People can access data at anytime from anywhere with an internet connection. Keywords: Web-based GIS; Surveillance and monitoring; Diarrhea; Free Open Source Softwar

The effects of trait emotional intelligence and sociobiographical variables on communicative anxiety and foreign language anxiety among adult multilinguals: A review and empirical investigation

This study considered the effects of trait emotional intelligence (trait EI; Petrides & Furnham, 2001) and sociobiographical variables (age, gender, education level, number of languages known, age of onset of acquisition, context of acquisition, frequency of use, socialization, network of interlocutors, self-perceived proficiency) on communicative anxiety (CA) in the first, and foreign language anxiety (FLA) in the second, third, and fourth languages of 464 multilingual individuals, in five different situations (speaking with friends, colleagues, strangers, on the phone, and in public). Data were collected via web-based questionnaires. Participants were divided into three groups based on their trait EI scores (low, average, high). Non-parametric statistical analyses revealed a consistent pattern of results across languages and situations. Higher levels of trait EI corresponded to significantly lower CA/FLA scores. Participants who started learning the L2 and L3 at a younger age also suffered less from FLA. Purely classroom-based language instruction was found to be linked to higher levels of FLA compared to instruction that also involved extracurricular use of the language. The knowledge of more languages, a higher frequency of use, a stronger socialization in a language, a larger network of interlocutors and a higher level of self-perceived proficiency in a language were also linked to lower levels of CA/FLA

Anticipating Information Needs Based on Check-in Activity

In this work we address the development of a smart personal assistant that is capable of anticipating a user's information needs based on a novel type of context: the person's activity inferred from her check-in records on a location-based social network. Our main contribution is a method that translates a check-in activity into an information need, which is in turn addressed with an appropriate information card. This task is challenging because of the large number of possible activities and related information needs, which need to be addressed in a mobile dashboard that is limited in size. Our approach considers each possible activity that might follow after the last (and already finished) activity, and selects the top information cards such that they maximize the likelihood of satisfying the user's information needs for all possible future scenarios. The proposed models also incorporate knowledge about the temporal dynamics of information needs. Using a combination of historical check-in data and manual assessments collected via crowdsourcing, we show experimentally the effectiveness of our approach.Comment: Proceedings of the 10th ACM International Conference on Web Search and Data Mining (WSDM '17), 201

Mapping Big Data: A Data-Driven Market R

To discover the shape and structure of the big data market, the San Francisco-based startup Relato took a unique approach to market research and created the first fully data-driven market report. Company CEO Russell Jurney and his team collected and analyzed raw data from a variety of sources to reveal a boatload of business insights about the big data space. This exceptional report is now available for free download. Using data analytic techniques such as social network analysis (SNA), Relato exposed the vast and complex partnership network that exists among tens of thousands of unique big data vendors. The dataset Relato collected is centered around Cloudera, Hortonworks, and MapR, the major platform vendors of Hadoop, the primary force behind this market. From this snowball sample, a 2-hop network, the Relato team was able to answer several questions, including: • Who are the major players in the big data market? • Which is the leading Hadoop vendor? • What sectors are included in this market and how do they relate? • Which among the thousands of partnerships are most important? • Who’s doing business with whom? Metrics used in this report are also visible in Relato’s interactive web application, via a link in the report, which walks you through the insights step-by-step

Development of a cable odometer with a network interface

Includes bibliographical references.The dissertation involves the design of a Cable Odometer that determines the position, direction and speed of a Radar as it surveys the subsurface. The Radar moves horizontally across the surface or up and down a borehole. The distance moved by the Radar as it surveys the subsurface is determined from the rotations of a wheel, over which a cable passes. The Radar is attached to this cable. Information on the distance moved is collected by Odometer and used for further analysis on the Radar data. The user requirement states that in some cases data collected by Odometer is used when triggering Radar directly to make surveys at fixed interval. In other cases the Radar operates autonomously. For the latter case the data collected by both Radar and Odometer is related by a time-stamp. The Odometer is controlled on a web page. Depending on the mode of operation chosen the user can transfer the time-stamped data to remote data storage via a network or store it on board (i.e. in Dataflash) for later downloading

LENTA: Longitudinal Exploration for Network Traffic Analysis from Passive Data

In this work, we present LENTA (Longitudinal Exploration for Network Traffic Analysis), a system that supports the network analysts in the identification of traffic generated by services and applications running on the web. In the case of URLs observed in operative network, LENTA simplifies the analyst’s job by letting her observe few hundreds of clusters instead of the original hundred thousands of single URLs. We implement a self-learning methodology, where the system grows its knowledge, which is used in turn to automatically associate traffic to previously observed services, and identify new traffic generated by possibly suspicious applications. This approach lets the analysts easily observe changes in network traffic, identify new services, and unexpected activities. We follow a data-driven approach and run LENTA on traces collected both in ISP networks and directly on hosts via proxies. We analyze traffic in batches of 24-hours worth of traffic. Big data solutions are used to enable horizontal scalability and meet performance requirements. We show that LENTA allows the analyst to clearly understand which services are running on their network, possibly highlighting malicious traffic and changes over time, greatly simplifying the view and understanding of the network traffic