220,569 research outputs found

    Design Architecture-Based on Web Server and Application Cluster in Cloud Environment

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    Cloud has been a computational and storage solution for many data centric organizations. The problem today those organizations are facing from the cloud is in data searching in an efficient manner. A framework is required to distribute the work of searching and fetching from thousands of computers. The data in HDFS is scattered and needs lots of time to retrieve. The major idea is to design a web server in the map phase using the jetty web server which will give a fast and efficient way of searching data in MapReduce paradigm. For real time processing on Hadoop, a searchable mechanism is implemented in HDFS by creating a multilevel index in web server with multi-level index keys. The web server uses to handle traffic throughput. By web clustering technology we can improve the application performance. To keep the work down, the load balancer should automatically be able to distribute load to the newly added nodes in the server

    Introduction to the Research Tools Mind Map

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    With the increasing use of information and communications technology (ICT), researchers are able to use computer software tools to find, organise, manipulate, analyse, and share relevant information. However, there are hundreds of such tools to select from, for various research-related uses. I have collected over 700 tools that can help researchers do their work efficiently. It is assembled as an interactive Web-based mind map, titled Research Tools, which is updated periodically. Created using the MindMeister software platform, Research Tools provides a convenient interface with zoom in/out, screen drag, and other user-friendly features. Being a mind map, Research Tools consists of a hierarchical set of nodes. It has four main nodes: (1) Searching the literature, (2) Writing a paper, (3) Targeting suitable journals, and (4) Enhancing visibility and impact, and six auxiliary nodes. In the mind map, each parent node has several child nodes associated with it, which can be accessed by clicking on the plus (+) sign. Several free tools can be found in the child nodes. Some paid tools are also included. The four main nodes are described below, listing some tools as examples. In the mind map, a green tick sign indicates my preference for some tools. Users can access the tools by clicking on the arrow sign that appears next to the tool title

    Sikuli: Using GUI screenshots for search and automation

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    We present Sikuli, a visual approach to search and automation of graphical user interfaces using screenshots. Sikuli allows users to take a screenshot of a GUI element (such as a toolbar button, icon, or dialog box) and query a help system using the screenshot instead of the element's name. Sikuli also provides a visual scripting API for automating GUI interactions, using screenshot patterns to direct mouse and keyboard events. We report a web-based user study showing that searching by screenshot is easy to learn and faster to specify than keywords. We also demonstrate several automation tasks suitable for visual scripting, such as map navigation and bus tracking, and show how visual scripting can improve interactive help systems previously proposed in the literature

    A MAP for the library portal: through the labyrinth of online information sources

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    In as little as 25 years, online information provision has been transformed. This has largely been uncontrolled, yet the resources now available offer rich returns for the data-hungry end user. Increasingly, many users require their information immediately and really do not care where it is stored. Such demands, coupled with librarians’ natural tendency to apply order, have led to the development of library portals which aim to solve the problems arising from trying to navigate this labyrinth of information. The MAP portal is one such product. Using the NISO OpenURL standard, MAP offers three main elements – contextual linking via WebBridge, one step “multi” searching using MetaFind and resource authentication through Web Access Management (WAM). Use of this portal at the University of Exeter Library has made a considerable, positive impact on the recent use of online full-text systems and services and the experiences undoubtedly point to a strong future for such interfaces everywhere

    Tourism Geographic Information System using Google API Banten

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    Banten Province as a Province adjacent to the Capital City of Jakarta and Banten Province is a province that is very well known because it has tourist areas in districts and sub-districts in Banten that have the main attraction to be visited by tourists, but the lack of information about existing tourist objects , and in searching for tourist information there are still many using maps manually, so we need an application that provides information services about tourist attractions in Banten, Web information system design provides information about the potential of the region as a tourist attraction in Banten Province. The geographic information system of web-based tourism in the province of Banten by using the Google Map API that can facilitate tourists searching, the location of users, interesting places and to find out the natural beauty and history in the province of Banten. This system is designed to make it easier for users to use and be more interactive. Supported by facilities to show the direction to the tourist attractions chosen by the user, as well as the addition of data visualization. This system is expected to be a guide and dissemination of travel information in Banten Province. Presentation of information in the form of images and maps will make it easier to understand users who will get the information effectively and efficiently. With the presence of this application is provided to meet the information needs of attractions in Banten Provinc

    Manajemen Web Untuk Mendukung Aplikasi Informasi Peta Digital Pada Smartphone Berbasis Android

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    The society with massive schedule in the fully modern life, gives effect of limitation to the society in doing many activities. For example, while taking a trip in a city without knowing the area might cause many troubles. Using location searching in a city using GPS technology which connected to the android smartphone tools, will make it easier and saving cost, time and energy. The method of this research for the mapping is using google map facility. In this application, the data like mesjid, church, market, hotel, restaurant and hospital data is saved in server web which make possible for the user to add new data to the application with verification performed by the administrator. Smartphone tools which have GPS facility can be used to acknowledge important spot location in a city and the user location at the sam time. This kind of application can be functioned if this smartphone tools with facility GPS has connection with the internet

    Application Design in Determining the Shortest Route Using Tabu Search Algorithm

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    This research designed a website application using Tabu Search Algorithm. We applied the Queuing method to find the shortest distance. Applications with this algorithm can provide the fastest route in the experiment of searching the shortest distance. We conducted this research by applying the examination in Rote Island, Indonesia. On the island, we examined the shortest distance from a starting point to another tourism place. In another side, this system utilized Google Map services to retrieve data about the distance between locations to another location with driving mode. The Google Maps service application is received in the form of translated JavaScript Object Notation (JSON), in order to be used as data and parameters in executing tabu search algorithms. The system was built using web-based through Hypertext Preprocessor (PHP) programming language, HyperText Markup Language (HTML), and Javascript, so it can be accessed and run by all devices that run the browser

    A content-based retrieval system for UAV-like video and associated metadata

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    In this paper we provide an overview of a content-based retrieval (CBR) system that has been specifically designed for handling UAV video and associated meta-data. Our emphasis in designing this system is on managing large quantities of such information and providing intuitive and efficient access mechanisms to this content, rather than on analysis of the video content. The retrieval unit in our system is termed a "trip". At capture time, each trip consists of an MPEG-1 video stream and a set of time stamped GPS locations. An analysis process automatically selects and associates GPS locations with the video timeline. The indexed trip is then stored in a shared trip repository. The repository forms the backend of a MPEG-211 compliant Web 2.0 application for subsequent querying, browsing, annotation and video playback. The system interface allows users to search/browse across the entire archive of trips and, depending on their access rights, to annotate other users' trips with additional information. Interaction with the CBR system is via a novel interactive map-based interface. This interface supports content access by time, date, region of interest on the map, previously annotated specific locations of interest and combinations of these. To develop such a system and investigate its practical usefulness in real world scenarios, clearly a significant amount of appropriate data is required. In the absence of a large volume of UAV data with which to work, we have simulated UAV-like data using GPS tagged video content captured from moving vehicles
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