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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....
The Semantic Web aims at building a Web where data is enriched with meaningful annotations. In other words, data is semantically organized in such a way that both human and machine can understand and query it, aiming at the creation of dynamic Web pages. Ontologies, as a keystone of the Semantic Web, have gained an ample acceptance as an information model, which can be used for several purposes, such...
The plot (content or storyline of a story) may disappoint users who read review comments associated with items containing a story such as comics, novels, and movies. This paper proposes a new method for identifying sentences that include descriptions of the plot of the story. Conventional methods only use information based on the words contained in a target sentence, however, our new method uses contextual...
We propose in this paper a new online Multi-User Multi-Touch handwritten diagram DataBase (MUMTDB) for evaluating recognition systems under the multi-user situation. The data is collected according to two predefined mind map scenarios which contains 9 classes of graphical symbols. Each scenario is completed by involving two users at the same time. Since the users are given freedom to draw the symbols...
Multidimensional long short-term memory recurrent neural networks achieve impressive results for handwriting recognition. However, with current CPU-based implementations, their training is very expensive and thus their capacity has so far been limited. We release an efficient GPU-based implementation which greatly reduces training times by processing the input in a diagonal-wise fashion. We use this...
Although the importance of barriers and the export entrepreneurship have attracted the attention of empirical researchers, they are mainly focused on either barriers alone or merely on the export entrepreneurship. Further, research studies till date have not addressed the different barriers and its influence on the export entrepreneurship (in terms of internationalization speed). Therefore, the current...
To guarantee fault tolerant system, checkpointing protocols are usually run to save the last consistent state of the system. This information will be recovered whenever a node failure occurs, thereby making it possible to resume the execution of the system. In the context of MANETs, checkpoints need to be saved in a safe and a stable storage to avoid data loss. Due the the specific constraints of...
Filtering and finding items of interest in large volumes of data, such as products in an e-commerce application or invoices in an ERP web platform can be a burdensome task, either for novice users that do not have insights on how the data is modeled or for those users who are already accustomed to the used system, but usually their filtering needs are significantly more complex. Natural language processing...
The work presented in this paper investigates the significance of natural elicitation of emotions during the development of simulated full blown emotion speech databases emotion analysis. A subset of primary emotions such as anger, happy and sad emotions along with neutral utterances are used in the present work. The first part of the work discusses the development of a simulated full blown emotion...
The aim of this study is to construct a system for pre-processing a text, including tokenization and correction of statements from social network, in order to adapt them for further extraction of information and sentiment analysis. Correction algorithm uses dictionary methods, statistical methods and rules-based approach. The system was tested on 50 statements including different kinds of errors....
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...
Person reidentification is a problem of recognizing a person across non-overlapping camera views. Pose variations, illumination conditions, low resolution images, and occlusion are the main challenges encountered in reidentification. Due to the uncontrolled environment in which the videos are captured, people could appear in different poses and due to which the appearance of a person could vary significantly...
The goal of the study is to predict acoustic features of expressive speech from semantic vector space representations. Though a lot of successful work was invested in expressiveness analysis and prediction, the results often involve manual labeling, or indirect prediction evaluation such as speech synthesis. The proposed analysis aims at direct acoustic feature prediction and comparison to original...
Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel insights of benefit both to specific individuals in the context of personalized medicine, as well as on the level of population-wide health care and policy. The present paper introduces a novel algorithm that uses machine learning for the discovery of longitudinal patterns in the diagnoses of diseases...
The quality of skill teaching is vital for higher vocational colleges. From the perspective of sustainable development, we considered the essence of sustainable development in higher vocational education is student oriented and thus the skill teaching should focus on cultivating the students' flexible skill or their sustainability. This paper first analyzes the prevailing inefficient phenomenon in...
Convolutional Neural Networks (CNNs) have recently demonstrated a superior performance in computer vision applications; including image retrieval. This paper introduces a bilinear CNN-based model for the first time in the context of Content-Based Image Retrieval (CBIR). The proposed architecture consists of two feature extractors using a pre-trained deep CNN model fine-tuned for image retrieval task...
The characteristics like density of objects, their contrast with respect to surrounding background, their occlusion level and many more describe the context of the scene. The variation of the context represents ambiguous task to be solved by tracker. In this paper we present a new long term tracking framework boosted by context around each tracklet. The framework works by first learning the database...
Determining the frequencies and the distribution of small subgraph patterns in a large input graph is an important part of many graph based mining tasks such as Frequent Subgraph Mining (FSM) and Motif Detection. Due to the exponential number of such graph patterns the interpretation of the mining results is mostly limited to finding unexpectedly frequent patterns, and in general identifying few particularly...
In the current context of the information era, the teaching model of universities' environmental artistic design has undergone a great change. The Decoration Materials and Construction is an important professional course of the universities' environmental artistic design major, and also a course with an extremely big difficulty of cultivating talents. Starting from the teaching model of the environmental...
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