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This paper addresses the problem of using live and pre-recorded video sources in 3D reconstruction systems. Typical photogrammetry packages use images generated from digital photography cameras such as DSLRs. 3D reconstruction algorithms require the intrinsic information to be stored in the EXIF header of a digital photograph. Live video systems don't store this information and more importantly don't...
The majority of previous attempts to autonomous driving in the TORCS environment involve the use of precalculated data such as the exact distance to opponents or the actual position of the car with respect to the center of the track. As humans, we drive based on locally available information that is gathered by our senses, mainly sight. This information is not precomputed and it is left to the agent...
The revolution on static wireless sensor network (WSN) had gained popularity in remote monitoring especially in oil and gas pipeline integrity. The use of WSN in oil and gas pipelines facilitates real-time data transmission from sensors to the monitoring station located miles away. WSN for pipeline network are critical performance driven communication mechanism due to its unique linear geographical...
Clustering in wireless sensor networks (WSN) is a proven technique to avoid redundant transmissions to the sink for better utilization of scarce network resources such as energy. Most of the clustering algorithms proposed in literature involves high number of message exchanges which results in unnecessary energy consumption. In this paper, we propose a standard deviation based weighted cluster head...
A quaternion linear colour edge-sharpening filter is presented. A quaternion convolution mask is created using a genetic algorithm (GA) and a zooming technique. When the new filter is applied to colour images, it produces sharpened colour edges in all directions in regions where colour (but not intensity) edges occur in the image. The methodology of the proposed filter depends on the zooming technique...
In this paper a multiresolution architecture to expand the dynamic range of low dynamic range (LDR) images to 32-bit high dynamic range (HDR) counterpart is presented. The processor is capable to provide on-the-fly calculation of the edge-preserving bilateral filtering and luminance average, to images images up to full-HD images (1920×1080 pixels) using 25×9 filtering and up to 4K UHDTV images (3840×2160...
This paper presents a new track of the General Video Game AI competition for generic Artificial Intelligence agents, which features both competitive and cooperative real time stochastic two player games. The aim of the competition is to directly test agents against each other in more complex and dynamic environments, where there is an extra uncertainty in a game, consisting of the behaviour of the...
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...
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...
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...
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...
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...
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...
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...
In this paper Tiny-SDCWN, a Tiny Software Defined Clustering Wireless Networking solution for wireless networking is proposed. The concept of Tiny-SDCWN proposed has structured and hierarchical management, which provides a solution to some inherent problems in WSN management and in particular, prolongs the network lifetime. The sensor field is divided into quarters with different levels of cluster...
This paper exploits the parallelism potential on a Clonal Selection Algorithm (CSA) as a parallel metaheuristic algorithm, due the lack of explanation detail of the stages of designing parallel algorithms. To parallelise population-based algorithms, we need to exploit and define their granularity for each stage; do data or functional partition; and choose the communication model. Using a library for...
Spectral clustering is a technique that uses the spectrum of a similarity graph to cluster data. Part of this procedure involves calculating the similarity between data points and creating a similarity graph from the resulting similarity matrix. This is ordinarily achieved by creating a k-nearest neighbour (kNN) graph. In this paper, we show the benefits of using a different similarity graph, namely...
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