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In this paper, we present a system to recognize text in traffic signs, along with its context based recognition result corrections that we developed. This system detects text in traffic signs region using contour detection and using KNN Classifier to recognize letters in it. The result of the recognitions that may contain errors will be corrected using Forward Reverse Dictionary that has Contextual...
DBpia is the largest digital-bibliography service provider in Korea. It provides several convenience functions for researchers. DBpia users (i.e., researchers) can search for papers via several search routes such as publications, publishers, authors, and keywords. Although the researchers can exploit the search functions, they may still have a number of search results as candidate papers to read....
In this paper, we improve a computational conceptof logic-based consensus among agents that has been introducedrecently. A consensus is defined as a non-contradictoryfragment of the information conveyed by various agents suchthat this fragment does not logically conflict with any agent. In this study, we introduce an additional requirement to theconcept of consensus to avoid some paradoxical consensuses...
The paper explores the connection between Soren Hallden's logic of nonsense (and its expansions) and Logics of Formal Inconsistency (LFIs), one of the main traditions in paraconsistency. Although not much attention has been payed by paraconsistentists, Hallden's logic can be nicely connected to LFIs. The main result of the paper is a reformulation of an expansion of logic of nonsense studied by Lennart...
Provenance of Big Data is a hot-topic in the database and data mining research communities. Basically, provenance is the process of detecting the lineage and the derivation of data and data objects, and it plays a major role in database management systems as well as in workflow management systems and distributed systems. Despite this, provenance of big data research is still in its embryonic phase,...
Developing educational apps that cover a wide range of learning contexts and languages is a challenging task. In this paper, we introduce the AppComposer Web app to address this issue. The AppComposer aims at empowering teachers to easily translate and adapt existing apps that fit their educational contexts. Developers do not need to provide extensive translations and configurations of their apps...
Nowadays health concerns are effectively becoming ubiquitous. Most people have the need to effectively control their nutritional consumptions, mostly due to health issues. Personal computational devices may assist this control with a solution that allows an efficient management of each individual nutritional profile.
The global mobile application market is booming and business giants, viz. Google and Apple, have acknowledged the huge expansion in their respective application market. There is a demand though for a system that can elevate the momentum of context-aware mobile applications, where application behavior can be customized according to various context information. This paper proposes AppaaS, a context-aware...
An automatic system to recognize and disambiguate product name mentions in user generated online content is described. The solution is based on a large number of custom made rules to make it fit for the specific setup used to measure the quality of such system. The system achieved competitive results.
Data-oriented applications have experienced a huge growth mainly in distributed settings. The increasing amount of available data has made it hard for users to find the information they need in the way they consider relevant. To help matters, a user-centric approach may be used to enhance query answering and, particularly, provide query personalization. In this work, we address the issue of personalizing...
In this paper, we investigate the possibilities of interpreting user behaviour in order to learn his/her preferences. UP Comp, a PHP component enabling use of user preferences for recommendation, is described. UP Comp is a standalone component that can be integrated into any PHP web with only basic knowledge of PHP, HTML and SQL. The methods of user behaviour interpretation are evaluated on a real...
This paper presents an event based functionality integration framework to approach the issue of service personalization and service mashups. In contrast to existing data integration approaches, the proposed framework addresses the mashup issue from a new perspective by extracting and reasoning the context through user generated event, while recommending and aggregating the contextual services dynamically...
In the last three decades, engineering education research (EER) has made remarkable progress towards a field of interdisciplinary scholarship. This paper defines EER by developing a keyword-based scheme for exploring EER-related scientific publications and collaboration. The keyword-based scheme refers to a conceptual framework we have developed for generating a parsimonious list of keywords which...
A common method for teaching the normalization of relational database tables is to begin with definitions for various normal forms and to illustrate them by creating examples of tables that fail to meet those definitions. Such examples can be artificial and often contain only hypothetical data. This paper examines a reverse approach: starting with real-life tabular data discovered outside the context...
An ability to account for positive and negative information in the representation of user preferences and intentions is an important facility that can enhance the functionality and usefulness of flexible database querying systems. This is in line with a growing interest in preference modeling. Bipolarity, as a formal representation of positive and negative information, is one of crucial factors in...
Most software systems developed nowadays are highly complex and subject to strict time constraints, and are often deployed with critical software faults. In many cases, software faults are responsible for security vulnerabilities which are exploited by hackers. Automatic web vulnerability scanners can help to locate these vulnerabilities. Trustworthiness of the results that these tools provide is...
Tacit knowledge in requirements documents can lead to miscommunication between software engineers and other stakeholders. One way in which the presence of tacit knowledge is signalled in text is by linguistic presuppositions. In this paper, we present a brief introduction to tacit knowledge, presuppositions and the links between them. Our aim is to build a theoretically grounded system which is able...
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