We consider the problem of tracking and localizing radio-tagged targets, a labor-intensive and time-consuming task necessary for wildlife conservation fieldwork. We design a lightweight sensor system for measurement o...
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ISBN:
(纸本)9781450359528
We consider the problem of tracking and localizing radio-tagged targets, a labor-intensive and time-consuming task necessary for wildlife conservation fieldwork. We design a lightweight sensor system for measurement of radio signal strength information from multiple radio tags. the sensor system is designed to suit low-cost, versatile, easy to operate multi-rotor UAVs. In this demo paper, we demonstrate our Unmanned Aerial Vehicle (UAV) sensor system for tracking and locating multiple VHF radio tags.
this paper is concerned withthe stabilization of networked control systems under clock offsets between sensors and controllers where the clock offsets are assumed to be stochastic variables following a certain probab...
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ISBN:
(纸本)9781538670897;9781538670880
this paper is concerned withthe stabilization of networked control systems under clock offsets between sensors and controllers where the clock offsets are assumed to be stochastic variables following a certain probability distribution. A linear time-invariant controller is designed to deal withthe effects of the stochastic offsets between sensors and controllers clocks, which can guarantee the stochastic stability of the linear systems. Finally, the validity of our results is illustrated using a numerical simulation.
the proliferation of Internet of things (IoT) devices has led to the deployment of various types of sensors in the homes, offices, buildings, lawns, cities, and even in agricultural farms. Due to the diverse nature of...
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ISBN:
(纸本)9781450359528
the proliferation of Internet of things (IoT) devices has led to the deployment of various types of sensors in the homes, offices, buildings, lawns, cities, and even in agricultural farms. Due to the diverse nature of IoT deployments and the likelihood of sensor failures in-the-wild, a key challenge in the design of IoT systems is ensuring the integrity, accuracy, and fidelity of sensor *** present a system based on the Fall-curve primitive -- a sensor's voltage response when the power is turned off -- to characterize the sensor. A sensor's Fall-curve constitutes a unique signature using which it is possible to identify the sensor and also detect whether it is operating correctly or not. In this demo, we show Fall-curve in action to accurately detect and identify the sensors connected to an IoT device. Furthermore, we also show that Fall-curves can reliably detect various transient and permanent sensor faults in an IoT device.
We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). this system is motivated by two design goals - (i) ease of setup, and (i...
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ISBN:
(纸本)9781450348904
We are developing an extensible, open-source framework that can localize and track rigid bodies using a network of cameras (both RGB and depth). this system is motivated by two design goals - (i) ease of setup, and (ii) ability to be agnostic of individual cameras and recognition algorithms. the goal of this implementation is to be a poor man's motion capture system that can be quickly set up for experimentation and provide accurate 3-D pose of the rigid body and scalable across cameras and the volume of coverage.
the restricted energy budget of energy-harvesting sensor nodes demands algorithms for adaptive duty-cycling. However, their comparison and development is hindered by the lack of reproducibility of environmental condit...
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ISBN:
(纸本)9781450354592
the restricted energy budget of energy-harvesting sensor nodes demands algorithms for adaptive duty-cycling. However, their comparison and development is hindered by the lack of reproducibility of environmental conditions. We enable replaying recorded light conditions by building an affordable light box. Our self-developed control circuit and high power LEDs allow us to repeatedly replay real environmental illumination data through current and voltage traces. this allows us to directly compare the behavior of nodes running different energy-aware and -predictive algorithms.
the Ballistocardiography (BCG) aims to analyze the ballistic forces on the heart in terms of vibrations that are transmitted to the body's surface. these vibrations can be measured by accelerometers. But instead o...
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ISBN:
(纸本)9781450354592
the Ballistocardiography (BCG) aims to analyze the ballistic forces on the heart in terms of vibrations that are transmitted to the body's surface. these vibrations can be measured by accelerometers. But instead of highly specialized analog sensors, we propose BCG based on commercially available digital accelerometers. To achieve this, we performed a bunch of trials to gain information about proper acceleration sensor technology, as well as needed requirements to create a full-fledged BCG sensor board. this sensor board as well as first results are presented within this paper.
Recent advances in machine learning based data analytics are opening opportunities for designing effective clinical decision support systems (CDSS) which can become the "third-eye" in the current clinical pr...
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ISBN:
(纸本)9781450354592
Recent advances in machine learning based data analytics are opening opportunities for designing effective clinical decision support systems (CDSS) which can become the "third-eye" in the current clinical procedures and diagnosis. However, common patient movements in hospital wards may lead to faulty measurements in physiological sensor readings, and training a CDSS from such noisy data can cause misleading predictions, directly leading to potentially dangerous clinical decisions. In this work, we present MediSense, a system to sense, classify, and identify noise-causing motions and activities that affect physiological signal when made by patients on their hospital beds. Essentially, such a system can be considered as "glasses" for the clinical third eye in correctly observing medical data. MediSense combines wirelessly connected embedded platforms for motion detection with physiological signal data collected from patients to identify faulty physiological signal measurements and filters such noisy data from being used in CDSS training or testing datasets. We deploy our system in real intensive care units (ICUs), and evaluate its performance from real patient traces collected at these ICUs through a 4-month pilot study at the Ajou University Hospital Trauma Center, a major hospital facility located in Suwon, South Korea. Our results show that MediSense successfully classifies patient motions on the bed with > 90% accuracy, shows 100% reliability in determining the locations of beds within the ICU, and each bed-attached sensor achieves a lifetime of more than 33 days, which satisfies the application-level requirements suggested by our clinical partners. Furthermore, a simple case-study with arrhythmia patient data shows that MediSense can help improve the clinical diagnosis accuracy.
this paper presents the implementation of a bicycle trip counter, which measures cycling speed, traveled distance, and cycling time, that is directly powered from tiny periodic pulses of energy with only the intrinsic...
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ISBN:
(纸本)9781450359528
this paper presents the implementation of a bicycle trip counter, which measures cycling speed, traveled distance, and cycling time, that is directly powered from tiny periodic pulses of energy with only the intrinsically present decoupling capacitance as an energy buffer. To cope withthe highly variable amount of energy generated during each pulse, an energy-driven approach is used. the core principles in this approach are to dynamically adjust operational mode according to energy availability, to scale performance, for example sensing accuracy, proportional to energy harvested, and to perform intermittent or transient computing to enable computation across multiple power cycles. the device presented is able to start operation from energy supply pulses as low as 4 uJ, where a rough estimate of the sensing parameters is done, and perform increasingly complex and time-consuming tasks such as additional more accurate measurements, sensor fusion, and filtering computations as more energy becomes available.
Low-power microcontrollers lack some of the hardware features and most of the memory resources that usually enable multiprogrammable systems. Accordingly, operating system software for these platforms has not provided...
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ISBN:
(纸本)9781450354592
Low-power microcontrollers lack some of the hardware features and most of the memory resources that usually enable multiprogrammable systems. Accordingly, operating system software for these platforms has not provided important features like memory isolation, dynamic memory allocation, and flexible concurrency. However, an emerging class of embedded applications are software platforms, rather than single purpose devices. Tock, a new operating system for low-power platforms, takes advantage of the limited hardware-protection mechanisms available on recent microcontrollers and the type-safety features of the Rust programming language to provide a multiprogramming environment that offers isolation of software faults, memory protection, and efficient memory management for dynamic application workloads written in any language while retaining the dependability requirements of long-running devices.
the sensing capabilities of most sensor networks are fixed at the time of deployment. Adding new sensing capabilities to such networks is a costly and cumbersome process. We present Passive sensor Tags, battery-free s...
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ISBN:
(纸本)9781450354592
the sensing capabilities of most sensor networks are fixed at the time of deployment. Adding new sensing capabilities to such networks is a costly and cumbersome process. We present Passive sensor Tags, battery-free sensing devices that could be used to extend the sensing capabilities of an existing network. sensor tags feature our new 802.15.4 receiver design which is suitable for micro-power operation, making battery-free tags possible. Because our tags can both transmit and receive 802.15.4 frames there is no need for any modification to the deployed hardware. We present preliminary measurements of transmission and reception range.
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