The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
With the development of remote sensing technology, it becomes possible for the detection and identification of targets from remote sensing images. In this paper, we propose a new method integrating the bottom-up and the top-down mechanisms for the ship detection in high resolution satellite images. We use the multi-layer sparse coding to extract the features of the RS images. Then, we get the ship...
Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine...
Reuse requires high-level representation models. Ontology is commonly defined as a formal specification of knowledge conceptualization in a consensual form. OWL (Web Ontology Language) is the most used and expressive ontology description language that supports handling and reasoning. However, it lacks expressivity for some specific requirements. We propose, in this paper, to augment OWL with a new...
With decades of investments, productivity has still continued to be a major issue for many digital circuit designers. One of the most important factors in improving productivity is design reuse, which current tools have yet to fully exploit. Reusing designs involve manually searching through repositories to find a design that meets the requirements of a project. This search can be tedious and often...
In this paper, we propose a novel approach to the problem of integrating code forges based on metadata (e.g., programming language, database, intended audience, operating system), similar software projects and software developers. We review the current problems in integrating metadata of different code forges and argue that Semantic Web technologies are suitable for representing and integrating knowledge...
Many/most of the challenges facing urban researchers and indeed policy makers relate to discovery of, access to and subsequent use of heterogeneous urban data sets. These data are typically held by a myriad of government agencies (local, State and Federal), industry and academic research organisations. The Australian Urban Research Infrastructure Network (AURIN) project commenced in 2010 and was tasked...
This paper describes a real-time information integration and analytics system called InXite for multi-purpose applications. InXite is designed to detect evolving patterns and trends in streaming data including social media data (e.g., tweets). InXite comprises of multiple modules including InXite Registration and Dashboard, InXite Real-time Data Streamer, InXite Information Integrator and InXite Analytics...
The Harmonized Tariff Schedule for the classification of goods is a major determinant of customs duties and taxes. The basic HS Code is 6 digits long but can be extended according to the needs of the countries such as application of custom duties based on details of the product. Finding the correct, consistent, legally defensible HS Code is at the heart of Import Compliance. However finding the best...
Sentiment classification of tweets is used for a variety of social sensing tasks and provides a means of discerning public opinion on a wide range of topics. A potential concern when performing sentiment classification is that the training data may contain class imbalance, which can negatively affect classification performance. A classifier trained on imbalanced data may be biased in favor of the...
Choosing an appropriate cancer treatment is potentially the most important task in the treatment of a cancer patient. If it were possible to identify the best option for a patient (or at minimum to remove options that will not help the patient), then the general prognosis of the patient improves. However, this task becomes much more subtle due to characteristics such as high dimensionality found in...
This paper describes the iPReS project, which provides a web service-based framework for i18n-type (internationalized) access to scientific data products and product metadata contained within the NASA Jet Propulsion Laboratory Physical Oceanography Distributed Active Archive Center, otherwise known as PO.DAAC. PO.DAAC is an element of the EOSDIS, which freely provides science data to the global community...
Choosing and implementing technologies to extract value from big data are constant challenges for business and governments alike. This paper describes the design and implementation of a data mining tool to analyze the XML data of the U.S. university campus crimes. The main aim of this tool is to extract data stored in XML documents and to provide summarized information that can help students in determining...
For the functioning of American democracy, the Lobbying Disclosure Act (LDA), for the very first time, provides data to empirically research interest groups behaviors and their influence on congressional policymaking. One of the main research challenges is to automatically find the topic(s), by short & sparse text classification, in a large corpus of unorganized, semi-structured, and poorly...
Provides an abstract for each of the tutorial presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
Exploring publications in academia usually entails browsing a collection of published literature through either bibliographic databases or full featured digital libraries. Bibliographic databases contain an organized collection of references to published literature, whereas digital libraries host publications in full-text. Although lacking full-text content of a publication, bibliographies contain...
Situation awareness refers to the capability of systems to perceive an existing or predicted context that determines the values of variables in a changing environment. Despite the enhanced support for managing timestamped data, current database systems still lack mechanisms for handling temporal situations in which data may change frequently. We present first results from an ongoing research project...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.