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This document presents a brief overview of the Sferics Timing and And Ranging NETwork (STARNET) measurements over South America in the last 9 years. Since its beginning, STARNET measured more than 610 millions of sferics in the entire South America. The main hot spots are found over Maracaibo - Venezuela, northern Argentina, Paraguay, Bolivia, and Corumbá and Amazon basin in Brazil. The detection...
The location accuracy is one of the important parameters characterizing the performance of a lightning location system. It is also one of the most difficult to determine as the actual location of the discharge being located must be accurately known to achieve a reliable assessment of the real error. Among all the measurement techniques which can be used to collect such ground truth data, none can...
This paper presents a novel road/terrain classification system based on the analysis of volunteered geographic information gathered by bikers. By ubiquitous collection of multi-sensor bike data, consisting of visual images, accelerometer information and GPS coordinates of the bikers' smartphone, the proposed system is able to distinguish between 6 different road/terrain types. In order to perform...
Experienced pipeline operators utilize Magnetic Flux Leakage (MFL) sensors to probe oil and gas pipelines for the purpose of localizing and sizing different defect types. A large number of sensors is usually used to cover the targeted pipelines. The sensors are equally distributed around the circumference of the pipeline, and every three millimeters the sensors measure MFL signals. Thus, the collected...
Existing background model based change detection methods have difficulty in distinguishing between foreground and background changes when both changes are caused by the same factors. We explore the possibility of using a light field camera to resolve the problem of existing single-view camera-based approaches. We present a new change detection strategy that processes light rays captured by the light...
With the arrival of population aging society, the health care of the elderly becomes more important. The fall detection algorithm is the core of the fall detection alarm system, so it is the key for the research and development of the fall detection system to analyze and select the appropriate algorithm for the detection of falling. It is one of the most important indicators of elder health monitor...
In this paper, we analysed and compared the digital elevation model (DEM) based on high resolution QuickBird and Pleiades satellite stereo images. 3D maps were generated for objects like trees near poles of power transmission lines using satellite stereo images. This study was very challenging due to weather condition, hilly and non-uniform terrain at Kota kina balu in East Malaysia. First we require...
In this paper an easy-to-use, wearable sensor system capable of deciphering upper-limb based functional tasks associated with stroke rehabilitation is introduced. Such a system can assist the therapist with monitoring a patient's progress during rehabilitation, and hence can increase the efficiency of the rehabilitation process. The developed system provides quantitative, real-time feedback of a user's...
The Transfer Equipment Cask (TECA) is a key solution for Remote Handling (RH), and the bidirectional sealing door system (BSD) is the key component of the TECA. The control system of BSD is introduced in this paper. Moreover, the experiment on TECA indicates that the design of control system is feasible and the effect is satisfactory.
This paper describes a novel post-processing step for an electromyogram (EMG) pattern classification algorithm that is used in the control of myoelectric prosthetic hands. Amputees often find it difficult to control multiple degrees of freedom, but increasing numbers of prosthetic hands have multiple degrees of freedom. In general, larger numbers of classes tend to reduce the classification accuracy,...
With the rapid development of the mobile computing and wireless network technology, the mobile telehealth system has been used more and more widely. An important issue of the telehealth system is that too many network traffics are generated while transferring data from the sensors to servers. To solve this problem, we propose a differential algorithm for reducing the network traffics of the telehealth...
Mobile sensing in Cyber-Physical Systems has been evolving proportionally with smartphones. In fact, we are witnessing a tremendous increase in systems that sense various facets of human beings and their surrounding environments. In particular, the detection of human emotions can lead to emotionally-aware applications that use this information to benefit people’s daily lives. This work presents the...
Emerging Camera Sensor Networks (CSN) leverage the collaboration, processing and communication capabilities of modern cameras to handle a wide variety of security and safety-critical tasks, including target tracking. However, the performance of CSN in terms of tracking accuracy can be severely degraded when faults occur. Faults may be caused by unpredictable software errors (e.g., in the image processing,...
Remote sensing has much to gain from citizen sensing. This is particularly evident in relation to the provision of ground reference data for use in the training and testing stages of supervised image classification analyses used to generate thematic maps from remotely sensed data. Citizens are able to provide data over large geographical areas inexpensively, addressing potential problems connected...
Infrared spectrums play an important role in the information extraction of rock and minerals. Spectrum simulation is a fundamental issue of land surface scene simulation and image simulation of remote sensing systems. Signal to Noise Ratio is regarded as an essential parameter of instrument and remote sensing image. In this study, we used MODTRAN to simulate apparent radiance and different levels...
With this work, we present a method for the detection of alpine permafrost surface deformations by using DInSAR (Differential SAR Interferometry) technique, integrating RADARSAT-2 and COSMO-SkyMed data through Support Vector Machine (SVM). On our test dataset, the combination of the two sensors produces an increase of classification accuracy equal to 8.5% with respect to the case in which only one...
Land-Cover databases (LC-DB) are very useful for environmental purposes, but need to be semantically detailed to provide robust and instructive spatial indicators. Moreover, remote sensed data allow to cover large areas with high temporal resolution. Such multi-temporal data are very useful input to discriminate LC classes. Nevertheless, automatic fusion method need to be developed to provide high...
Most distributed sensing methods assume that the expected value of sensed information is same for all agents - ignoring differences in sensor capabilities due to, for example, environmental factors and sensors' quality and condition. In this paper, we present a distributed sensing framework to exploit heterogeneity in information provided about a dynamic environment using an active-passive networked...
Fall is a leading cause of accidental injury deaths and a key cause of significant health problems, especially for elderly people who live alone. To assist those people for seeking help when falling and keeping records of key daily movements, we propose a simple yet effective system to monitor the daily activities and in-house locations using smartphone. We also test the system for the optimum arrangement...
In this paper, a fall alarm and abnormal inactivity detection system is implemented on Raspberry Pi for security surveillance of empty-nesters in real time environment. We propose a novel method for fall alarm with a small amount of computing and we also present an inactivity detection method which we named "inactivity history" method to improve the accuracy of detection and it is a kind...
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