The goal of Partitioned Global Address Space (PGAS) languages is to improve programmer productivity in large scale parallel machines. However, PGAS programs may have many fine-grained shared accesses that lead to perf...
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Inspired by the notion of biconic semi-copulas, we introduce biconic semi-copulas with a given section. Such semi-copulas are constructed by linear interpolation on segments connecting the graph of a continuous and de...
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This paper describes an ant-based clustering algorithms and suggests its application as a swarm art conceptual tool. The algorithm, called KANTS, consists on a set of equations that model the local behavior of simple ...
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In this paper it is analyzed the topology of *** Wireless Community Network (WCN). WCN have emerged in recent years organized and dep.oyed by the cooperation of its own customers. WCN keep parallelisms with the constr...
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The conducts to copy using other person's source codes and submit as reports are regarded as a problem for program exercises of programming subjects in universities or colleges. An automatic detection algorithm to...
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The conducts to copy using other person's source codes and submit as reports are regarded as a problem for program exercises of programming subjects in universities or colleges. An automatic detection algorithm to detect illicit copies is required in these educational organizations. In previous researches, these methods based on the detection standard of the token length have been proposed. These methods use the threshold simply using the character length. In these cases, miss detections occur in the case of the simple program such as the sequence of the print statement or the case that token sequences appear in the middle of a statement. This paper proposes the detection method using the program complexity and the complete token sequence. As the results of experiments, our method can improve the recall R adopting the complexity as the detection standard and the precision P adopting the complete token sequence for exercise programs submitted by students.
Named Entity Recognition (NER) is a well-studied area in natural language processing (NLP) and the reported results in the literature are generally very high (~>%95) for most of the languages. Today, the focus area...
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Named Entity Recognition (NER) is a well-studied area in natural language processing (NLP) and the reported results in the literature are generally very high (~>%95) for most of the languages. Today, the focus area of most practical natural language applications (i.e. web mining, sentiment analysis, machine translation) is real natural language data such as Web2.0 or speech data. Nevertheless, the NER task is rarely investigated on this type of data which differs severely from formal written text. In this paper, we present 3 new Turkish data sets from different domains (on this focused area; namely from Twitter, a Speech-to-Text Interface and a Hardware Forum) annotated specifically for NER and report our first results on them. We believe, the paper draws light to the difficulty of these new domains for NER and the possible future work.
The form of compact city as an "urban form of sustainable development" is paid more and more attention. This paper proposes several systems of indicators based on the understanding of the connotation of comp...
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In this study, the results of the ongoing work of the authors on the topic of the analysis of the acoustical environment from reverberant signals will be presented. Initially, some theoretical aspects on the relations...
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ISBN:
(纸本)9781450315692
In this study, the results of the ongoing work of the authors on the topic of the analysis of the acoustical environment from reverberant signals will be presented. Initially, some theoretical aspects on the relationships of the statistical quantities of the room transfer functions and the reverberant signals will be given. Then, the way that these statistical relationships can assist acoustical scene analysis methods will be discussed. The advantage of the use of twochannel (i.e. binaural) instead of single channel signals will be underlined. Finally, the implementation details of methods for the estimation of various acoustical parameters from signals will be presented. Copyright 2012 ACM.
Nowadays, numerous daily life applications related to wireless networks, sensors, low power electronics, biomedical applications etc. demand small amount of electrical power for their operation. These applications are...
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ISBN:
(纸本)9781450315692
Nowadays, numerous daily life applications related to wireless networks, sensors, low power electronics, biomedical applications etc. demand small amount of electrical power for their operation. These applications are rapidly increasing and bringing to the fore the need for small scale electrical power generation. To this end, strong efforts are being made to exploit ambient and man made energy sources such as electromagnetic radiation including sun, infrared and RF radiation, thermal sources, mechanical stress and strain, vibrations, biochemistry etc. Acoustic signals seem to be such an alternative ambient energy source. Firstly, this work gives an overview of the proposed harvesting methods and systems derived from related patent applications during the past decade. Moreover, a first estimation of the available ambient acoustic power density is presented and then is compared to the ambient power density of the aforementioned energy sources. Copyright 2012 ACM.
The Internet has emerged to be an effective platform for world universities to share their academic outcomes and to show their influence and contribution via constructing rich and easy-to-access web sites. At the same...
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