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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.
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.
Data mining discovers useful rules or patterns from a set of data. Its role is more and more important in the era of big data because it can provide compact and relevant knowledge instead of detailed data to users. Meanwhile, the research of computational intelligence has been very popular because it combines some intelligent approaches such as fuzzy logic, evolutionary computation and neural networks...
In this paper, we propose intuitionistic linguistic vector (ILV) as a tuple of intuitionistic linguistic numbers (ILNs). ILV can describe information which involves multiple linguistic terms according to different intuitionistic fuzzy values. Similarity measures for ILNs and ILVs are also given. The novel concepts are used to construct a classification algorithm (Intuitionistic Fuzzy Linguistic Vector...
In the past few years, wireless sensor networks (WSNs) have been increasingly gaining impact in the real world with with various applications such as healthcare, condition monitoring, control networks, etc. Anomaly detection in WSNs is an important aspect of data analysis in order to identify data items which does not conform to an expected pattern or other items in a dataset. This paper describes...
Biological molecules (e.g. DNAs, RNs, proteins, etc.) do not function in isolation themselves but in a sophisticated manner of various interactions between them to carry out every biological processes in living cells. Data about these interactions are exponentially increased thanks to advanced technologies. Analyzing biological interaction networks is essential to get insights into how biological...
Extending from limited domain to a new domain is crucial for Natural Language Generation in Dialogue, especially when there are sufficient annotated data in the source domain, but there is little labeled data in the target domain. This paper studies the performance and domain adaptation of two different Neural Network Language Generators in Spoken Dialogue Systems: a gating-based Recurrent Neural...
Radio energy harvesting model is an another method to extend the lifetime of wireless networks. In this paper, an energy harvesting model is given for amply-and-forward relay networks with aiding of ambient interferences. For this reason, the energy constrained relays harvest energy from the received signal and then use that harvested energy to amply and send that signal to the target. A time switching...
In this paper, two methods to improve the secrecy of cooperative transmissions using unshared jamming are investigated in which only the source and destination nodes know the jamming signals. The jamming signals are based on unique cipher keys obtained on the high layers. In the first proposed method (SJ protocol), a source combines its secrecy signal with its jamming signal using the power allocation...
In this paper, we propose a positioning system using a time-synchronized wireless network that can achieve high positioning accuracy without being dependent on any global positioning system (GPS) devices with cm-level accuracy as the main goal and objective. The proposed system utilizes time of arrival (ToA) method to estimate the target's position. Based on the results, we can achieve time synchronization...
Updated nonlinearity models for solid-state power amplifiers (SSPAs) include both amplitude and phase distortions, and thus being the same as nonlinearities in traveling-wave tube amplifiers (TWTAs), resulting in detrimental effects for multiple-input multiple-output space-time block code (MIMO-STBC) systems with nonlinear amplifications. This work presents a thorough investigation for the performance...
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