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The paper describes a "moving sensors" concept, which considers the possibility of autonomous diagnostic devices to interact, data transfer and change their position in space. The idea is based on a combination of multi-agent technologies, mobile robotics and the Internet of Things. To solve the problem of identification time optimization and minimum of faults it is proposed to introduce...
In late 1940's and with the introduction of cellular automata, various types of problems in computer science and other multidisciplinary fields have started utilising this new technique. The generative capabilities of cellular automata have been used for simulating various natural, physical and chemical phenomena. Aside from these applications, the lattice grid of cellular automata has been providing...
The paper presents method of learning weights parameters of intuitionistic statement networks on the base of learning data. The approach is based on the application of substitutional network model which is equivalent to intuitionistic statement networks in the sense of conditional dependency between statements. The substitutional model is a generative model which allows to compute its own parameters...
Refactoring is the process of improving code quality without affecting its external behaviour and by changing its internal structure. Refactoring is done to improve code quality and structure. In this research, we have proposed a new method of code refactoring by using graph theory techniques. Previously manual methods were used to identify the classes with high impact in refactoring. the proposed...
Freshness and safety of muscle foods are generally considered as the most important parameters for the food industry. To address the rapid detection of meat spoilage microorganisms during aerobic storage at chill and abuse temperatures, Fourier transform infrared spectroscopy with the aid of a neuro-fuzzy identification model has been considered in this research. Spectral information was obtained...
Machine Translation has been a widely addressed topic. It is critically analyzed from various angles, like-languages attempted for translation, techniques evolved, models designed etc. Apart from this, the results obtained as well as the percentage of accuracy are also highly focused. In this paper, we have discussed the structure of the Sanskrit language followed by the similarities between Sanskrit...
This paper introduces a novel study on the performance of Stochastic Diffusion Search (SDS) — swarm intelligence algorithm — to address DNA sequence assembly problem. This is an NP-hard problem and one of the primary problems in computational molecular biology that requires optimisation methodologies to reconstruct the original DNA sequence. In this work, SDS algorithm is adapted for the first time...
The data processing of a number of current astronomical projects require an intelligent data handling system which can satisfy the requirements both from users processing the data and users exploring the result. We present the WISE Concept of Scientific Information Systems which has been used in a number of data processing systems in Astronomy. In this paper we review its origin and principal components...
Wireless sensor is a consolidated technology with high potential in the Internet of Things. However, some open issues must be tackled in order to leverage the whole potential of this technology. One of the challenges is the energy consumption. Many algorithms have been proposed for saving energy. However these approaches use a mono-objective evaluation and the contradiction between optimization parameters...
WiFi received signal strength (RSS) fingerprinting is a promising method for indoor localization but it faces the challenges of a laborious and time-consuming off-line survey process for radio map fingerprints formation, and of variability in the WiFi coverage over time. To address these challenges, recently researchers have begun to consider the concept of crowd-sourcing and automatic floor map and...
Accurate information about the location and orientation of a camera in mobile devices is central to the utilization of location-based services (LBS). Most of such mobile devices rely on GPS data but this data is subject to inaccuracy due to imperfections in the quality of the signal provided by satellites. This shortcoming has spurred the research into improving the accuracy of localization. Since...
Creagene is a multi-purpose, multi-agent creative model that has been designed after investigation of creative humans in science, engineering, management, art and scientific discovery. This model is able to solve problems creatively and generates and interprets figures and statements. In the proposed model, there are six intelligent agents (namely, preprocessor generator, explorer, domain processor,...
This paper presents a component-based framework for Belief, Desire, and Intention (BDI) agent programming in C++ that takes advantage of object orientation and provides a platform for agent development on a vast range of hardware, spanning from low-power single chip embeddable systems to highperformance grid computers. The framework is C++ standards conformant and supports debugging using tools provided...
The tumor location, evaluation of its shape, its position and its interactions with close brain structures, etc., are medical acts very important and in great demand. Clinical Tools brain's observation areas are now numerous, like X-ray scanner, magnetic resonance imaging (MRI), computed tomography and scintigraphy. Among these techniques, MRI is the increasingly used. This non-invasive technique...
Facial expressions plays an important role in human communication. In many cases where anonymity is a high priority, the identity of a person needs to be hidden or replaced by another one. Recent advancements in facial expression analysis technology have been used in order to duplicate facial human expressions with an avatar. However, a 3D avatar does not convey the same feeling as a real human face...
Face emotion recognition systems identify emotions expressed on the face without necessarily identifying the person involved, as in Face recognition. Support Vector Machine (SVM) has been shown to give better performance on other classification tasks but has not been applied to emotion recognition, especially with still face images. This research work analyses the performance of four different SVM...
Image registration is commonly used in medical applications for revealing changes in different series of images. In this study, the performances of different registration scenarios based on different feature extraction and matching methods were assessed in the context of chest radiographic images. For this purpose, combination of three well known key point descriptors (SIFT, SURF and ORB) were used...
Dynamic Programming (DP) is used for solving various complex problems. In this paper, it is proposed to use DP for measuring the shortest phonetic distance between two words called Dynamic Phone Warping (DPW) and use DPW engine to classify whether a given pronunciation is a new accent or a new word. Humans learn new accents and words from "Every day speech" whereas Humanoids lack this capability...
This work is concerned with employing both prosodic and phonotactic information in developing an automatic dialect identification system. Prosodic information is considered an important part of speech from which one can infer a speaker's affiliation, age, gender, emotion, and of course dialect. Prosodic information serves both linguistic and extra-linguistic functions. The linguistic functions deal...
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