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Online experimentation have become a common resource in education since the virtual and remote labs (VRLs) allowed the users to interact with a system without been in a laboratory environment. The science and engineering areas needs to teach their student in experimental practices and this implies, in most cases, costly and complex systems. This work shows how new technologies allows a low cost online...
Inter-vehicular communication (IVC) can be explored to build a live map of vehicles for enhancing collaborative vehicular applications related to traffic statistics, safety by accident prediction and prevention, and energy efficient route planning. For enhancing the abovementioned applications, a live map of vehicles associated with their communication identities (e.g., IP/MAC addresses) of other...
We present a simple circuit to handle communication between cells of neuromorphic arrays. It allows cells to operate continuously without waiting for acknowledgement signals back from the AER (Address Event Representation) arbitration circuitry. The module also implements aging of cell petitions i.e., old petitions to access to the AER bus are automatically discarded to give priority to the more recent...
We consider UAV IoT aerial sensing that delivers multiple VR/AR immersive communication sessions to remote users. The UAV swarm is spatially distributed over a wide area of interest, and each UAV captures a viewpoint of the scene below it. The remote users are interested in visual immersive navigation of specific subareas/scenes of interest, reconstructed on their respective VR/AR devices from the...
An existing psycholinguistics experiment is extended with EEG measurement to analyze the spatiotemporal distribution of activities during a bilingual lexical access task. A low-cost custom trigger hardware was developed to provide event timestamps of the experiment stimulus and response to the EEG apparatus. The experiment was repeated on a subject group of 20 students, and our processing software...
In this paper we present the work in progress of WireMe IoT development platform, a simple way to deploy IoT systems in an intuitive approach. WireMe platforms' simplified software and hardware modules enables users to deploy personalized web interface and program their hardware modules to achieve their home automation tasks without having deep technical knowledge in either of the above domains, with...
Wireless visual sensor networks comprise a large number of camera-equipped sensor devices and obtain visual information from field of interest. In a Wireless visual sensor network, there exist visual correlation characteristics among images observed by cameras with overlapped field of views. To describe those characteristics, the conventional method is based on image processing. However, it is too...
UAV is widely used in military and civil fields, and autonomous landing navigation technology is the key technology of UAV. Traditional navigation technology such as GPS and INS can't meet the navigation requirements of the landing stage due to the influence of precision and disturbance. Visual navigation has the advantages of strong anti-interference ability, high precision, low cost and low power...
This paper presents an Augmented Reality (AR) comprehensive assembly system for the multi-interactive creation of assembly processes. The special multimodal interface allows the presentation of not only new types of visual display but also interestingly designed voice instructions and material flow management. The system simulates many-sided and complicated assembly tasks in various areas of manufacturing...
In recent years many signal processing applications involving classification, detection, and inference have enjoyed substantial accuracy improvements due to advances in deep learning. At the same time, the “Internet of Things” has become an important class of devices. Although the paradigm of local sensing and remote inference has been very successful (e.g., Apple Siri, Google Now, Microsoft Cortana,...
Image fusion is the process of merging all similar information from two or more images into a single image. The aim is to provide an image fusion method for fusing the images from the different modalities so that the fusion image will give more information without losing input information and also without any redundancy. This paper gives the efficient method for fusion purpose, by fusing LIDAR and...
Underwater harbor structures should be inspected regularly for safety problem. Conventional inspection methods which are performed by divers have several limitations including safety and health problem of divers. This paper presents development of a ROV and experimental results for visual inspection of harbor structures. The ROV is equipped with visual systems for inspection tasks, navigation system...
Recent advancement of sensing technology has fueled increasing interests in the development of cardiac monitoring systems. However, existing devices are limited in their ability to effectively characterize different disease patterns in a 3D way. An ECG sensing device with high visualizability can assist in the decision-making process of cardiovascular disease treatments. In this undergraduate project,...
The concept of underwater docking stations has long been proposed to support the long term deployment of AUVs, but the number of successful solutions is still very disappointing. Hovering type AUVs can navigate arbitrarily slow, simplifying the docking maneuver and the requirements for the receiving structure. This paper describes a docking system that was developed to extend the mission duration...
Human beings have an excellent ability which can form and recognise object categories. In this paper, a novel system of multimodal object recognition and categorization by performing interactive behaviours is introduced. Video clips are filmed as the raw input of the system. A dataset of 100 objects with 18 categories and five different interactions is used to evaluated the performance. The convolutional...
The consistency between the axis of manipulators and image is very significant since the visual servo is the most important tool in the nano manipulation. This paper proposed an automated axis alignment method for a nano manipulator inside the SEM by recognizing the position of a closed-loop controlled the end-effector, which can characterize the relationship of these two axes and the rotation matrix...
This paper proposes a critical survey of crowd analysis techniques using visual and non-visual sensors. Automatic crowd understanding has a massive impact on several applications including surveillance and security, situation awareness, crowd management, public space design, intelligent and virtual environments. In case of emergency, it enables practical safety applications by identifying crowd situational...
Parking-management systems, including services that recognize vacant stalls, can play a valuable role in reducing traffic and energy waste in large cities. Visual methods for detecting vacant parking spots are cost-effective options since they can take advantage of the cameras already available in many parking lots. However, visual-detection methods can be fragile and not easily generalizable. In...
Motivated by increasing popularity of depth visual sensors, such as the Kinect device, we investigate the utility of depth information in audio-visual speech activity detection. A two-subject scenario is assumed, allowing to also consider speech overlap. Two sensory setups are employed, where depth video captures either a frontal or profile view of the subjects, and is subsequently combined with the...
Analyzing and visualizing large datasets generated by real-time spatio-temporal activities (e.g. vehicle mobility or large crowd movement) are a very challenging task. Recursive delays both at middleware and front end applications limit the of usefulness of the real-time analysis. In this paper, we present a framework “Spatial-Crowd” that first handles spatial-temporal data acquisition and processing...
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