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A versatile framework for automation of sophisticated farm machinery has been proposed in this paper. The paper details the functional design and development of the hardware and software architecture of the framework for electronic monitoring and control of a complex system. The framework aims to provide a user friendly bridge between the digital world and the physical world and covers the core software...
Fast and precise spectrum opportunity (SOP) exploration is a fundamental and vital procedure for dynamic spectrum management. In this paper, the temporal rather than geographical feature of spectrum database is investigated. The spectrum prediction is formulated and taken as a function of spectrum database. Furthermore, spectrum sensing is also a choice for SOP exploration to cope with the inefficiency...
Spectrum sensing is the process of determining whether a wireless channel is active or idle. It is mainly implemented in dynamic spectrum access in cognitive radio networks which is a potential solution for spectrum scarcity created by static allocation of RF spectrum for exclusive use. In this paper, we investigate adaptive threshold based spectrum sensing using USRP B200 GNU radios. We use adaptive...
Face-to-face proximity has been successfully leveraged to study the relationships between individuals in various contexts, from a working place, to a conference, a museum, a fair, and a date. We spend time facing the individuals with whom we chat, discuss, work, and play. However, face-to-face proximity is not the realm of solely person-to-person relationships, but it can be used as a proxy to study...
Fetal electrocardiogram (FECG) monitoring has become essential due to the current increase in the relative number of cardiac patients worldwide. This paper proposes to use a deep learning approach to compress/recover FECG signals, improving the computation speed in a telemonitoring system. The problem is analogous to the reconstruction of a non-sparse signal in compressive sensing (CS) framework....
Telemonitoring is a potential solution for management of patients suffering from chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD), respiratory failure, and obstructive sleep apnea. However, the compression is a prime concern for designing telemonitoring systems via Wireless Body Area Networks (WBANs). In this regard, Compressed Sensing (CS) is a promising tool of...
Despite the growing research interest in 2.5D and 3D video face processing, 3D facial videos are actually scarcely available. This work introduces a new open source tool, named FaceGrabber, for capturing human faces using Microsoft's Kinect 2.0. FaceGrabber permits the concurrent recording of various formats, including the raw 2D and 2.5D video streams, 3D point clouds and the 3D registered face model...
Every day, new engine configurations or engine parts are tested in Snecma's test benches. During each test, up to two thousand sensors capture every bit of information generated by the engine or the bench cell itself. It is extremely difficult to manually analyze all this data. Due to the huge amount of data and their diversity, specialists who analyze them can miss interesting information that could...
Big Data refers to large amount of data sets whose size is growing at a vast speed making it difficult to handle such large amount of data using traditional software tools available. This paper reviews the big data its back ground. First introduce general definition of big data and review on five phases of the value chain of big data (Components) such as, the quantity of data (Volume), the rate of...
This paper presents a study in which driver's gaze zone is categorized using new deep learning techniques. Since the sequence of gaze zones of a driver reflects precisely what and how he behaves, it allows us infer his drowsiness, focusing or distraction by analyzing the images coming from a camera. A Haar feature based face detector is combined with a correlation filter based MOSS tracker for the...
The Internet of Things (IoT) offers many interesting solutions to problems encountered in a range of application areas. The potentially huge number and the diversity of things that may be part of such an infrastructure can pose prominent issues for their systemic management. This paper explores such issues and proposes a management platform that partially addresses them. More specifically, our proposed...
Clothing companies should be aware of the in demand products that they should reproduce at a given time. In this study, the researchers aim to improve monitoring of sales in the business industry specifically in clothing companies. The group implemented a system that automatically scans and records apparel swing tags, which is geared towards an easier and faster processing of sales with the use of...
To this day, the technical challenges of accessing TV white spaces through spectrum sensing can be summed up into its inability to provide maximum protection to primary users from interference. Yet, off-the-shelf spectrum sensing devices, which are emerging on the market at low cost, and the low computation and implementation complexities of the sensing technique, make them more and more attractive...
Cognitive networks (CN) introduce an adaptable network architecture which enables efficient sharing of transmission resources among heterogeneous networks. Traditional CN architecture requires each network devices to independently employ channel sensing mechanisms to discover free (or white) spectrum that can be temporarily borrowed for its own use. However, the distributed physical layer-based channel...
In the recent decades, Internet of Things (IoT) is becoming much more popular than ever. The sensors in IoT are becoming heterogeneous and abundant. It is necessary to implement a middleware platform to deal with the tremendous growth in the number and variety of sensors. In this paper, we design and implement a modularized and dynamic platform based on OSGI framework to deal with the vast heterogeneous...
The lack of a visualized representation for standard Arabic Sign Language (ArSL) makes it difficult to do something as common place as looking up an unknown word in a dictionary. The majority of printed dictionaries organize ArSL signs (represented in drawings or pictures) based on their nearest Arabic translation; so unless one already knows the meaning of Arabic sign, dictionary look-up is not a...
In this paper, we propose a framework for a smart gym. The framework consists of a simple model and prototypes which can be implemented in a gym. The framework is basically an implementation of the smart city based on IOT. The foremost objective of the proposed framework is to develop an intrusive technology that will not only provide valuable and innovative services to the user by integrating the...
Concentration of Carbon monoxide (CO) and Carbon dioxide (CO2) that high in the air is very dangerous for human life. Carbon monoxide is a poisonous gas that damages the circulation of oxygen in the blood when inhaled, while carbon dioxide is one of the gases that cause global warming. Both gases are classified as colorless and odorless gas so that the necessary special tools to monitor their concentration...
Digital technologies enable indoor location management for determining and tracking the position of a person through various sensing mechanisms. This emerging area has a wide range of applications in the service industry to improve business processes. Location management is aided by the proliferation of mobile devices which open many exciting possibilities with their rich sensor set. We present a...
Maintaining the resilience of a large-scale system requires an accurate view of the system's cyber and physical state. The ability to collect, organize, and analyze state central to a system's operation is thus important in today's environment, in which the number and sophistication of security attacks are increasing. Although a variety of "sensors" (e.g., Intrusion Detection Systems, log...
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