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Data analysis has become an integral part in many economic fields. In this paper, we present several real-world applications occurring in the fields of automobile development and manufacturing, finance, and online communities. The given examples share one aspect in common: time. It is not only the fact to find patterns inside data volumes but also to identify them based on their temporal behaviour...
The manner of organizing the sensors in the wireless sensor network for increasing the capability and optimized using of the sensors is of great importance. Hence considering coverage parameter in every Wireless Sensor Network (WSN) is extremely essential and critical. The matter of overlapping covered area by sensors in 2D space had been considered until now. This paper is suggested a pattern in...
Detection and analysis of trajectories are effective for providing services to pedestrians in public spaces. We have proposed a method to detect moving objects from a monocular image sequence with a normal mixture model. However, the method cannot accommodate a changing number of moving objects. As described herein, to overcome this shortcoming, we proposed two algorithms for counting number of moving...
The concept and range of spatial information are gradually expanding to various fields through fusion in a point of time when a ubiquitous environment is rapidly developing. Thus, a prototype for construction of a real-time spatial information management system has been developed by integrating a human movement sensing system into a SICS(Spatial Information Control System) engine that can integrally...
This paper describes a novel force-driven evolutionary approach for solving multi-objective 3D deployment problems in differentiated wireless sensor networks (WSNs). WSN is a wireless network consisting of spatially distributed autonomous sensors to monitor physical or environmental conditions. Deciding the location of sensor to be deployed on a terrain with the consideration of different criteria...
A novel application of type-2 fuzzy system is presented by developing a spatio-temporal fuzzy logic controller (FLC) for the distributed parameter system (DPS). The novel difference to the type-2 fuzzy system is to apply the secondary MF for a different physical variable - space domain. Using a number of sensors located on the spatial domain, the 3D fuzzy membership function can be obtained that contains...
This paper presents a mathematical basis for judging the quality of camera and projector placement in 3D for structured light systems. Two important quality metrics are considered: visibility, which measures how much of the target object is visible; and scale, which measures the error in detecting the visible portions. A novel method for computing each of these metrics is presented. An example is...
An alternative to the conventional quantization for occupied voxel lists in both 2D and 3D is presented. The performance metrics of the hexagonal lattice in 2D and the face centred and body centred cubic lattices in 3D are investigated and compared to their square and cubic counterparts. It is found that quantization to alternative lattices yields some improvements. Ultimately, the D3 or face centred...
Algorithms for automatic fall detection are often studied in the field of ambulatory human health supervision. These algorithms are developed to generate hospital emergency alarms. In the present paper, involuntary lateral movements (ILM) are presented. ILM are a premature sign of health deterioration. Therefore, this algorithm embedded in a sensor device could be used for continuous health monitoring...
In this paper, the Wii remote (Wiimote) controller and a conventional video camera are used to perform real-time position tracking of an aerial vehicle. The combination of the Wiimote's infrared and video camera fields of view creates a virtual cube in which motion can be fully monitored. This controlled space allows a vehicle to navigate with no onboard sensors. The proposed approach is advantageous...
Model-based activity recognition has been recently proposed as an alternative to signal-oriented recognition. Such model-based approaches seem attractive due to their ability to enable user-independent activity recognition and due to their improved robustness to signal-variation. The first goal of this paper is therefore to systematically analyze the benefit of body-model derived primitives in different...
Interaction techniques play a fundamental role in the success of video games. An example of this success is the Nintendo Wii console. Its novel interaction method based on motion-sensing technology has attracted gamers of different generations. In this paper, real-time processing of physiological signals is presented as an alternative approach for natural and intuitive communication with computer...
A method for global map building from occupancy grids is presented in this paper. Occupancy grids provide a low-level representation of the environment, suitable for autonomous navigation tasks, in urban driving scenarios. The occupancy grids used in our approach are computed with a method that outputs an occupancy grid with three distinct cell types: road, traffic isles and obstacles. First, we perform...
Driving assistance systems provide either safety or comfort functions. Such systems must evaluate the state of the world and take necessary actions. A preliminary step for evaluating the state of the world is to detect, track and classify scene objects. The classification step becomes especially important in complex urban traffic scenarios. In such scenarios the sensors of choice are vision based,...
This paper discusses the problem of joint location and orientation estimation of a receiver using only angle of arrival (AOA) information. Conventional formulations of the problem consist of a number of nonlinear equations where the number of unknowns exceeds the number of equations. However, formulations presented in this paper simplifies the problem in a way that leads of efficient solutions. Two...
Visual sensor networks (VSNs) merge computer vision, image processing and wireless sensor network disciplines to solve problems in multi-camera applications by providing valuable information through distributed sensing and collaborative in-network processing. Collaboration in sensor networks is necessary not only to compensate for the processing, sensing, energy, and bandwidth limitations of each...
With current technologies submarines can thwart active or passive sonar detection. A viable alternative to detect submissible vessels is to use magnetic or acoustic sensors in close proximity to possible underwater pathways of them. This approach may require deploying large-scale underwater sensor networks to form barriers. We show new results for construction barriers in 3D sensor networks. First,...
The fundamental processes on nanoscale that may influence the design of nanoelectronic chips, sensors, and systems is presented. The focus is on the breakdown of Ohm's law in nanoscale devices extensively being used to assess the performance of a ldquosystem-on-a-chip,rdquo may it be for bio, chemical, physical or engineering applications. Novel insights on theories of three sources of transformation...
In this research, we propose a unique multi-planar LIDAR and computer vision calibration algorithm. This method only requires the camera and LIDAR to observe a planar pattern at different positions and orientations. Geometric constraints of the dasiaviewspsila from the LIDAR and camera images are resolved as the coordinate transformation coefficients. The proposed approach consists of two stages:...
Present object detection methods working on 3D range data are so far either optimized for unstructured offroad environments or flat urban environments. We present a fast algorithm able to deal with tremendous amounts of 3D lidar measurements. It uses a graph-based approach to segment ground and objects from 3D lidar scans using a novel unified, generic criterion based on local convexity measures....
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