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This paper explores how human interact with modern smartphone devices. This interaction is accomplished mainly through smartphone sensors, both for outcoming and incoming information. Mobile sensors have opened a new dimension in human-computer interaction which has prevailed for the last decades. Additionally, in this paper we also investigate recent software advances in using these sensors. This...
In this paper, we propose a content-based approach that takes into consideration an organization's needs and the skills of candidate employees in order to quantify the suitability of a candidate employee for a specific job position. The proposed algorithm utilizes Minkowski distance to perform a primary study in order to investigate how the personnel seeking and recruiting field could benefit further...
Cities are characterized by a concentration of people, communities, activities, flows and impacts leading to severe sustainability challenges. Energy is an essential component of life in cities, as it supports the whole spectrum of their economic activities, and secures a certain level of quality of life to residents. Nowadays cities tend to become “Smarter”, usually disregarding the issues of energy...
The diversity of contemporary technology on 3D-model digitizing and processing procedures necessitates the systematic documentation of all the involved activities. In this paper we present essential concepts and the infrastructure of 3D-SYSTEK (3DS), a system that supports the 3D-modelling provenance preservation in the Cultural Heritage (CH) domain. The proposed system provides an efficient repository...
We present an approach to make planning adaptive in order to enable context-aware mobile robot navigation. We integrate a model-based planner with a distributed learning system based on reservoir computing, to yield personalized planning and resource allocations that account for user preferences and environmental changes. We demonstrate our approach in a real robot ecology, and show that the learning...
As technological advancement and innovation continually rise globally, the applications of such progress is evident in many fields, most especially in education. Knowing that education is essential to foster holistic growth especially in children, the researchers aim to maximize the potential of technology as a way to facilitate learning in a child's growing years.
Low latency is essential for videoconferencing applications such as presence and collaboration between remote participants. In modern videoconferencing systems, the Selective Forwarding Unit (SFU) has the role of transparently duplicating and forwarding media streams between participants, hence it must be able to process large volumes of incoming packets at very high rates. SFU performance is heavily...
This paper involves giving a better solution in optimizing Support Vector Machine in classifying sentiments towards a product brand. Sentiment analysis rose to solve the problem of classifying sentiments and classifying as to positive or negative feedback towards a certain product brands. Using the Support Vector Machine learning algorithm, this study aims to improve the algorithm's accuracy through...
Smooth orthogonal drawings were recently introduced with the view of combining two different graph drawing approaches: Orthogonal drawings and Lombardi drawings. In this paper, we focus on perfect smooth orthogonal drawings in which each edge is made of either a rectilinear segment or a circular arc. We prove that every 3-planar graph admits a planar perfect smooth orthogonal drawing. If we relax...
We extend the recently introduced slanted-orthogonal (for short: slog) drawing model to a new relaxed model that we call sloggy, which allows crossings not exclusively on diagonals but also on rectilinear edge segments. Because of that, sloggy drawings might require much less bends than the corresponding drawings in the slog drawing model. On the positive side, we prove a closed-form formula on the...
The problem of image classification remains to be a major challenge to the computer vision community. In this paper, we propose a new classifier architecture based on multiresolution wavelet network learnt by fast wavelet transform including a fuzzy decision support system (FWN-FDSS). The proposed classifier has many advantages compared to other ones. It is characterized by its new method of computing...
HTTP Streaming is a recent topic in multimedia communications with on-going standardization activities, especially with the MPEG DASH standard which covers on demand and live services. One of the main issues in live services deployment is the reduction of the overall latency. Low or very low latency streaming is still a challenge. In this paper, we push the use of DASH to its limits with regards to...
Matrix Quantization (MQ), a very promising source coding technique, has already been successfully applied for speech signals and noiseless channels. MQ is also shown in the literature to outperform Vector Quantization (VQ) when applied over noisy channels. Considering that most sources of practical interest are non-stationary, this paper introduces a technique which adapts MQ to varying source statistics...
This study aims to optimize N-gram based text feature selection in sentiment analysis for commercial products in twitter through polarity lexicons. This can be done by merging dictionary-based weighing with naïve-Bayes classification of sentiments. The study is still ongoing but partial results show potential.
The non-linear capabilities of artificial neural networks to model the dynamics of creep rupture and failure mechanisms are exploited to achieve failure forecasting in high performance energy systems. The proposed approach forecasts the time to rupture due to creep mechanism and consists of the library construction, the experimental data and measurements necessary for the training process, the measurements...
The non-linear capabilities of artificial neural networks coupled with the noise-like properties of chaotic systems are exploited to perform signal encryption. The proposed approach computes the signal digital envelope which consists of the encrypted signal, the secret key and the associated hash value. The methodology is demonstrated via the encryption and subsequent decryption of two frequently...
In this paper a set of student's characteristics that have to be considered in an adaptive and/or personalized programming tutoring system is presented. This set is called K.E.M.Cs and includes: knowledge, errors, motivation and cognitive states. It allows the system to identify the variety of backgrounds of prospective learners of programming, their misconceptions, needs and learning pace. The modeling...
A new algorithm for the intelligent search in the electrical engineering literature is outlined. It is based on an ontology of this area, built using the terminology of the International Electrotechnical Commission that is structured employing a set of relations between the involved concepts. The main idea is to search using a set of related concepts belonging to this ontology instead of user defined...
Big data is a hot topic nowadays due to the huge amount of data resulted from various commercial processes and also due to every day data handled by social networks. The MapReduce programming model focuses on processing and generating large data sets. Using the values obtained by computing the Jaccard similarity coefficients for two very large graphs, we have analysed the connections and influences...
This paper describes the design and implementation of a mobile application (app) for acoustic ranging developed for the Android platform. The ranging strategy used is an extension of the Microsoft Windows based BeepBeep method. Using only the speaker and microphone hardware supplied with commercial Android devices, indoor ranging precision under a 0.1 centimeter variance has been achieved at distances...
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