Curved image sensors offer a new degree of freedom in optical system design that promise low-cost, small-volume solutions for wide field-of-view imaging. Stretchable polymer backplanes can provide the high-density of ...
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ISBN:
(数字)9781510618244
ISBN:
(纸本)9781510618244
Curved image sensors offer a new degree of freedom in optical system design that promise low-cost, small-volume solutions for wide field-of-view imaging. Stretchable polymer backplanes can provide the high-density of interconnects and tolerate the large deformations needed to transform planar, wafer-based image sensors into shapes with large non-zero Gaussian curvature. Here we demonstrate a thermoformable backplane based on glycolated polyethylene terephthalate (PETg) that can be deformed to a 98 degrees spherical cap with 0.5 '' radius. We introduce a process to integrate such backplanes with a CMOS image sensor and release the circuit from the wafer to form a monolithically integrated image sensor that can be thermoformed to the desired shape.
The emergence of microfluidic techniques coupled with flow-induced electrification has advanced the development of innovative self-powered sensors. However, selective detection of target substances using these sensors...
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The emergence of microfluidic techniques coupled with flow-induced electrification has advanced the development of innovative self-powered sensors. However, selective detection of target substances using these sensors is extremely challenging, owing to the lack of recognition elements in the flow pathway. To overcome this, catalytic enzymes are immobilized on the microfluidic channel and the concentration of targets is measured via monitoring the streaming current. As an example, a urease equipped self-powered microtubular sensor is developed to selectively detect urea, a physiologically and industrially important molecule. The urease catalyzes the hydrolysis of urea into ions, increasing the pH of the fluid, which serves as the basis of the sensing mechanism. Remarkably, high sensitivity, wide detection range, short response time, and superior selectivity are reported for urinary urea detection. The accuracy and reliability of sensing in artificial urine are validated with the standard spectrophotometric method. The microtubular sensor features facile fabrication and operation and circumvents the need for sophisticated peripherals, highlighting its enormous potential in chemical and biomedical applications, such as pollutant detection, food quality assessment, disease diagnosis, and point-of-care testing.
Effective reduction of the emissions of low-power wood-log fueled firing appliances is only possible, if advanced combustion air stream control concepts are applied. Such an advanced method of automated estimation and...
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Effective reduction of the emissions of low-power wood-log fueled firing appliances is only possible, if advanced combustion air stream control concepts are applied. Such an advanced method of automated estimation and control of combustion air streams is based on combustion temperature, residual oxygen concentration and content of the un-/partly combusted exhaust gas components and separate control loops for adjustment of the combustion air streams using air mass stream sensors and motor driven air stream limiting shutters. In the past lack of appropriate CO/HC gas sensors providing satisfying long-term signal stability hindered the effectuation of those control systems in the market of advanced firing systems. In this paper an electrochemical method is reported, which may solve the problem. It enables checking of the current status of CO/HC gas sensitivity of a commercial mixed potential type gas sensor and, if required, regeneration of sensitivity at the place of operation under ambient air conditions.
Various state estimation problems in dairy farm applications, like heat detection, feeding behavior, etc. are well studied by using Hidden Markov Models (HMM) to represent the sampled process. Our use-case of monitori...
ISBN:
(数字)9781728137155
ISBN:
(纸本)9781728137162
Various state estimation problems in dairy farm applications, like heat detection, feeding behavior, etc. are well studied by using Hidden Markov Models (HMM) to represent the sampled process. Our use-case of monitoring cows in remote farms in real-time and perform online state estimation/classification requires intelligent sampling of the underlying HMM. Due to the limited capacity of the sensor network at the dairy farm, and due to possible wireless errors, the central server does not always receive all the sampled data. Right value of the observation arrival rate into the parameter and state estimation algorithm running at a central server is required to ensure that a prescribed heat detection performance level is achieved. We provide a working implementation of a setup where the end devices using Bluetooth Low Energy (BLE) are provided with an online recommendation on the sampling (hence, channel access) rates so that the HMM state estimated at the central server is ( α, β)-current.
Transparent and flexible UV sensors have attracted considerable attention for use in portable/wearable optoelectronic systems. Although UV sensors based on photoactive nanomaterials have been reported for such applica...
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Transparent and flexible UV sensors have attracted considerable attention for use in portable/wearable optoelectronic systems. Although UV sensors based on photoactive nanomaterials have been reported for such applications, achieving full transparency and flexibility remains a challenge because they still rely on opaque or brittle electrodes. Here, a fully transparent, flexible, and highly sensitive UV sensor based on 1D carbon nanotubes (CNTs)-2D graphene hybrid is demonstrated. Under UV illumination, oxygen molecules on the CNT surfaces are desorbed by photoinduced plasmon energy, leading to a significant decrease in hole concentration, and correspondingly an increase in the electrical resistance of CNT. The combination of CNT and graphene minimizes the effect of contact resistance and facilitates effective charge transfer between them without potential barrier, resulting in a high photoresponse, which is 30 times as high as that of Au-electrode-based CNT sensor. Simultaneously, CNT-graphene UV sensor shows remarkable transparency (over 80% at 550 nm) and outstanding mechanical flexibility without any significant change in electrical resistance for 500 cycles at a bending radius of 5.5 mm. The integration of CNT-graphene hybrid onto flexible substrates through scalable microfabrication is expected to provide exciting opportunities for the development of high performance, optically and mechanically invisible optoelectronic devices.
Most of the currently developed indoor localization techniques depend on some kind of sensory input, utilizing, among others, WiFi-signals (e.g. [2]), smartphone sensors (e.g. [4]) or Bluetooth beacons (e.g. [1]). How...
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ISBN:
(纸本)9781450366618
Most of the currently developed indoor localization techniques depend on some kind of sensory input, utilizing, among others, WiFi-signals (e.g. [2]), smartphone sensors (e.g. [4]) or Bluetooth beacons (e.g. [1]). However, each of these systems has its own downsides, such as a lack of infrastructure, power consumption and proneness to noise. These are the reasons no such system is currently able to be truly considered as the "GPS for the indoors", as they cannot provide worldwide coverage.
Worlds first graphene-based Pirani pressure sensor is presented. Due to the decreased area and low thickness, the graphene-based Pirani pressure sensor allows for low power applications down to 0.9 mW. Using an innova...
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ISBN:
(纸本)9781538652732
Worlds first graphene-based Pirani pressure sensor is presented. Due to the decreased area and low thickness, the graphene-based Pirani pressure sensor allows for low power applications down to 0.9 mW. Using an innovative, transfer -free process, suspended graphene beams are realized. This allows for up to 100x miniaturization of the pressure sensor area, while enabling wafer -scale fabrication. The response of the miniaturized pressure sensor is similar to that of the much larger state-of-the-art Si -based Pirani pressure sensors, demonstrating the potential of graphene-based Pirani sensors.
This paper presents a novel collaborative filtering recommender system based on an opportunistic distributed network. Collaborative filtering algorithms are widely used in many online systems. Often, the computation o...
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ISBN:
(纸本)9781538621950
This paper presents a novel collaborative filtering recommender system based on an opportunistic distributed network. Collaborative filtering algorithms are widely used in many online systems. Often, the computation of these recommender systems is performed on a central server, controlled by the provider, requiring constant internet connection for gathering and computing data. However, in many scenarios, such constraints cannot be guaranteed or may not even be desired. This work proposes a recommendation engine where users share information via an opportunistic network independent of a dedicated internet connection. In this framework, each node is responsible for gathering information from nearby nodes and calculating its own recommendations. Using a centralized collaborative filtering recommender as a baseline, we evaluate three simulated scenarios composed by different movement speeds and data exchange parameters. Our results show that in a relatively short time, an opportunistic distributed recommender systems can achieve results similar to a traditional central system. Our analysis shows that the speed at which the opportunistic recommender system stabilizes depends on several factors including density of the users, movement speed and patterns of the users, and transmission strategies.
This paper presents an ultra-low power acoustic sensing and object recognition microsystem for Internet of Things applications. The microsystem is targeted for unattended ground sensor nodes where long-term (decades) ...
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This paper presents an ultra-low power acoustic sensing and object recognition microsystem for Internet of Things applications. The microsystem is targeted for unattended ground sensor nodes where long-term (decades) life time is desired without the need for battery replacement. The system incorporates an microelectromechanical systems microphone as a frontend sensor along with active circuitry to identify target objects. We introduce an algorithm-circuit cross optimization to realize a 12nW stand-alone microsystem that integrates the analog frontend with the digital backend signal classifier. The frequency-domain analysis of target audio signals reveals that the system can operate with a relatively low bandwidth (<500 Hz) and SNR (>3 dB) which significantly relaxes power constraints on both analog frontend and digital backend circuits. To further relax the current requirement of the preceding amplifier, we propose an 8-bit SAR-analog-to-digital converter that is designed to have a highly reduced sampling capacitance (<50 fF). For the digital backend, we propose a feature extractor using the serialized tones-of-interest discrete Fourier transform, replacing a conventional high-power/area-consuming parallel feature extraction using the fast Fourier transform. This approach reduces area and thus leakage power which often dominates the overall power consumption. The proposed system successfully identifies a number of target objects including an electrical generator, a small car, and a truck with >95% reliability and consumes only 12 nW with continuous monitoring.
Software Defined Network (SDN) is an effective way of implementing modularity based on abstraction for complex networking principles. SDN has shown its positive impact on various types of networks and the use of SDN i...
ISBN:
(数字)9781728137155
ISBN:
(纸本)9781728137162
Software Defined Network (SDN) is an effective way of implementing modularity based on abstraction for complex networking principles. SDN has shown its positive impact on various types of networks and the use of SDN in MEMS (Microelectronic Mechanicals systems) based network also known as Wireless sensor Network (WSN), helps to alleviate WSN challenges such as less power consumption and better throughput. So far, study on optimal number of controllers and their impact on network parameters remain untouched. In this paper, we follow a simulation-based approach to identify the optimal number of SDN controllers required to manage nodes in WSN. We consider a network of nodes as well as a WSN sink and randomly assign multiple nodes with SDN functionality. We varied the number of controllers and their location for multi-application scenarios. Results show that a) The optimal number of controllers are dependent on the number of applications and nature of application assigned to WSN, b) Presence of SDN controllers increases network lifetime in terms of the amount of residual energy left on the nodes, and c) Selecting appropriate path and assigning routes to WSN nodes by SDN controller increases the overall application throughput.
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