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Physical layer network coding (PNC) is a promising technique to improve the network throughput in a wireless two-way relay (TWR) channel. The PNC is embraced for TWR with free space optical (FSO) communication link, TWR-FSO, for full utilization of network resources. In this paper, forward error correction (FEC) is employed with TWR-FSO PNC system. The convolutional code (CC) is considered to combat...
In wireless communication, there exists a phenomenon know as ‘multipath’. This phenomenon is considered as a disadvantage because it causes interference. The multipath phenomenon results in an antenna receiving two or more signals from the same sent signal from different paths. This paper considers them as redundant copies of the transmitted data and utilises them to improve the performance of forward...
The traditional environment maps built by robots include both metric ones and topological ones. These maps are navigation-oriented and not adequate for service robots to interact with or serve human users who normally rely on conceptual knowledge or semantic contents of the environment. Therefore, the construction of semantic maps becomes necessary for building an effective human-robot interface for...
This paper proposes an implementation of a wireless sensor network as part of the Internet of Things using a network of distributed Raspberry Pi computers transmitting data over a ZigBee radio-mesh. The pervasive nature of noise in the modern environment makes this an ideal factor for monitoring unobtrusively in the Smart Environment. Noise monitoring using distributed Raspberry Pi computers has already...
Machine-to-Machine (M2M) and Internet-of-Things (IoT) buildup of a large number of devices that are capable of sensing or actuating and provide ubiquitous connectivity and processing to enhance the daily life activities. This paper proposes a wireless Software Defined Networking (SDN) solution for M2M gateway based on the cloud environment. The proposed approach takes the advantage of SDN in separating...
Machine devices are capable of processing the events captured by sensors and forwarding them through M2M gateway. Non-uniform energy consumption and extensive use of limited energy resources are the common reasons behind developing new energy efficient routing algorithms and protocols. The aim of this paper is to design hybrid routing protocol for M2M sensor network with multiple mobile sink nodes...
Sparse autoencoder is a commonly used deep learning approach for automatically learning features from unlabelled data (unsupervised feature learning). This paper proposes class-specific (supervised) pre-trained approach based on sparse autoencoder to gain low-dimensional interesting structure of features with high performance in document classification. Experimental results have demonstrated the advantages...
3D virtual environments support collaborative learning through connecting users in real-time allowing them to accomplish learning tasks together, in addition they enhance the students' exploration, engagement, and interactivity. However, collecting learning evidence to evaluate students in these environments has many difficulties. Therefore, the intention of this paper is to describe our approach...
Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts. Motivated by the need of generating comprehensible visual representations from different sets of data, we introduce a system capable of monitoring human activity through head pose and facial...
In past decades, eye-tracking (ET) became one of the most widespread communication strategies for people with severe motor impairments (as in locked-in syndromes, LIS). ET cameras enable paralyzed patients to move a cursor across a user interface (UI) by means of their gaze, and to activate a selectable UI object after looking at it for a certain dwell time. This procedure is definitely intuitive...
Data partitioning is a coarse form of compressed data prioritization or layering that is effective in error-prone environments. This paper proposes a further sub-partition of one of the H.264/AVC codec's data-partitions, which can result in up to a 5 dB improvement in objective video quality. Specifically, the partition bearing spatially-coded data is divided into those data naturally inserted by...
In this paper, we present a process to simulate 3D data; as an unmanned combat aerial vehicle (drone) equipped with a Ladar sensor could do. The data obtained are colored 3D point clouds in where potential targets are highlighted. Our objective with these simulated corpus of 3D point cloud data is to explore the usage of Virtual Reality settings to validate the selection of a target. To do that we...
Digital Elevation Model (DEM) is an important data used in varies geographical researches but it is difficult and costly to obtain a high resolution DEM. This paper evaluates the accuracy of interpolated high resolution DEM established from a low resolution DEM data obtained from an online resource which is freely accessible to researchers and academician. The low resolution DEM available online was...
Sliding mode control offers great potential to deal with uncertainties such as parameter variation and external load disturbances in controlling induction motor drives. The main obstacle of conventional sliding mode control is the presence of chattering phenomenon. It is known that the large switching gain of sliding mode control is proportional to the chattering level, and normally a large switching...
Recently, fuzzy logic controllers have been recognized in induction motor drives systems for their robust performance. Therefore, this paper presents a fuzzy logic (FL) control system based on FL approach for a vector controlled induction motor drives for high performance application. The analysis, design and simulation of the FL controller for vector control induction motor are carried out based...
Human Activity Recognition (HAR) is an interdisciplinary research area that has been attracting interest from several research communities specialized in machine learning, computer vision, medical and gaming research. The potential applications range from surveillance systems, human computer interfaces, sports video analysis, digital shopping assistants, video retrieval, games and health-care. Several...
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