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Directional Sensor Network (DSNs) being a subdivision of WSN has attracted researchers a lot due to its wide deployment in visual monitoring applications as the continuous technical advancements have enabled us making use of low-cost camera sensors. But because of the inherent random deployment of these camera sensors, the effective area coverage is reduced. Therefore, the effective area coverage...
The Network-Centric warfare (NCW) has been the hot research spot in military area since its potential capacity and big advantages. Since it is a complex adaptive system (CAS) with many autonomous entities, the multi-Agent modeling and simulation (MABMS) technology has been the most popular method to study it. But the fact that the calculation load increases with the Agent Number accords with exponential...
In this paper, the problem of hierarchical cooperative spectrum sensing using double thresholds energy detector over imperfect reporting channels will be investigated. When taking error effect on reporting decision into consideration, the sensing performance will be affected. In the proposed scheme, we analyze the performance of hierarchical cooperative spectrum sensing over imperfect reporting channels...
Centric Query Processing in Heterogeneous Wireless Sensor Network is the new emerging area of wireless sensor network which provides better interaction with physical world in effective and efficient manner. Previous work provides interaction between homogeneous wireless sensor network. In this paper, we have proposed a centric query processing approach which provides effective communication between...
Building a high-end aerial robot for research is a challenging task. Our aim in this paper is to design a compact hexacopter capable of high payload and has flexible gimbal and powerful onboard computer with $ 500. This hexacopter serves as a flying platform with great customizability, where different sensors can be mounted easily onto the hexacopter for new applications. We discuss our implementation...
This paper aims at the actual demand for experimental teaching for sensors and detecting technologies. It adopts LabView as virtual instrument platform, taking embedded processing system as hardware platform and designs the experimental teaching platform for detecting voltage and frequency signals of sensor output. We pay attention to the teaching demand and discuss the design idea and overall structure...
We study and illustrate quasi-Born approximation conditions which allow the solution of certain inverse scattering problems without iterations even though the corresponding forward map from scatterer to data is in general nonlinear due to multiple scattering. The proposed methodology focuses on a form of linearizing prefiltering which sheds fundamental, quantitative insight on the possibilities and...
In the age of IoT (Internet of Things), tens of billions sensors or devices will be connected to cloud services. Although cloud environment is suitable for incredibly growing IoT services because of elasticity, scalability and efficiency for collecting and analyzing such data, protecting privacy on public cloud is a big issue. We proposed m-cloud, a distributed computation mechanism on multiple and...
In recent years the usage of video-games in education, therapies and training, has risen sharply. The adaptation of serious games to users' needs may offer new enriching learning environments. Eye tracking sensors collect information about the location and duration of eye movements within a specific area on a computer monitor. This paper presents a usability analysis of users' eye movements while...
In this paper, the application of a portable solar tracking system is implemented to increase energy generation of the photovoltaic (PV) panels. While this portable system provides the monitoring of the maximum solar radiation values, the creation of more efficient solar tracking system is also another significant contribution. Thus, a system which continuously records and monitors the generated voltage,...
Micro aerial vehicles, such as multirotors, are particular well suited for the autonomous monitoring, inspection, and surveillance of buildings, e.g., for maintenance in industrial plants. Key prerequisites for the fully autonomous operation of micro aerial vehicles in complex 3D environments include real-time state estimation, obstacle detection, mapping, and navigation planning. In this paper, we...
Multicopters are lightweight and maneuverable aerial vehicles yet unable to carry heavy payloads, such as large sensors or computers required for indoor autonomous navigation. Therefore, localization is usually performed by using vision-based solutions employing of either lightweight on-board cameras or external fixed cameras and a ground station for data-processing. Nevertheless, the current tendency...
Computing power is increasingly enabling software-based networking. Successful technologies, like Wi-Fi, can now take advantage of the state of the art approaches for software-based architectures, such as software-defined, service-centric, and information-centric networking. In this paper, we employ NovaGenesis — a future Internet architecture — as the foundation for Wi-Fi networks spectrum sensing...
The development of programming skills in computer science students, namely algorithm thinking and logical reasoning, is an important challenge to overcome their difficulties in CS1 and CS2 courses. With the advent of Internet of Things, the actual approaches based on project-oriented learning processes can be extended to use experimental setups with low cost microcomputers. In this paper, we provide...
Dynamic vision sensors (DVS) are frame-free sensors with an asynchronous variable-rate output that is ideal for hard real-time dynamic vision applications under power and latency constraints. Post-processing of the digital sensor output can reduce sensor noise, extract low level features, and track objects using simple algorithms that have previously been implemented in software. In this paper we...
There is a large interest on performing elderly care monitoring using Computer Vision. It has the potential to provide a better scene understanding than current sensing approaches at an affordable price, but there are still considerable practical challenges that have limited its deployment. The BAM descriptor is a privacy-conscious, calibration-free representation of a singleperson bed obtained from...
The confirmation of the prediction system model of economies in illumination systems with regulation for constant illuminance required the realization of a measuring device for long-term measuring of illuminance in interior workplaces. The suggested system makes this measuring possible in 10 points of interior and at the same time outdoor on the plain without shadows.
This paper presents a framework for synchronising multiple triggered sensors with respect to a local clock using standard computing hardware. Providing sensor measurements with accurate and meaningful timestamps is important for many sensor fusion, state estimation and control applications. Accurately synchronising sensor timestamps can be performed with specialised hardware, however, performing sensor...
Crowdsourcing is a new distributed computing paradigm that leverages the wisdom of crowd and the voluntary human effort to solve problems or collect data. In this paradigm of soliciting user contributions, the trustworthiness of contributions becomes a matter of crucial importance to the viability of crowdsourcing. Prior mechanisms either do not consider the trustworthiness of contributions or assess...
Mobile ferries are an alternative way for collecting data from dispersed sensor nodes especially in large-scale networks. Unlike data collection via multi-hop forwarding among the nodes, ferries travel across the sensing field and collect data from the sensing nodes. The advantage of using a ferry based approach is that, it eliminates the need for multi-hop forwarding of data, and as a result energy...
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