23 research outputs found

    Smart-Voice Invocation of Scenes in Home-Automation Systems

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    Home environments are rapidly becoming more and more automated via the use of voice-recognizing personal assistants. Home-automation systems using a voice-recognizing personal assistant are capable of configuring smart devices of a home, such as lighting, security systems, or environmental controls, to particular operational settings which, when aggregated across multiple smart devices, constitute a particular scene. Techniques for a home-automation system to configure, or “set”, a scene using smart-voice invocation are described

    Hybrid On-Device Cloud Scheme for Re-Identification of Persons Based on Shared Embedding Gallery

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    Generally, the present disclosure is directed to a system of facial and/or person recognition via machine learning and Internet of Things (IoT). In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage a machine learning and IoT system or device to track and/or identify a person based on video images taken by one or more device(s). For example, a hybrid on-device and cloud scheme can enable locally-derived embeddings from multiple camera devices to be sent to a shared cloud space which can cluster the embeddings to generate a person model for a given person. Later, a camera device participating in the scheme can again detect a face and can match an embedding generated for the face against the shared gallery of person models to (potentially) re-identify the previously observed person

    Projection Device for Generating Augmented Reality User Interfaces

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    Aspects of the present disclosure are directed to a projection device that projects images onto surfaces and detects interactions with the images on the surfaces. For example, the projection device can include a projector that can project images onto a surface, a camera that can capture imagery of user interactions with the images on the surface, and a processing system (e.g., that includes one or more machine-learned models) that can process the imagery to understand the user interactions, thereby receiving user input. The images projected onto the surface can include still images, moving images, or a user interface that includes elements with which a user can interact. For example, the projection device can receive data descriptive of the user interface of a mobile device (e.g., smartphone) and can project the mobile device’s interface onto the surface of a table, thereby allowing a user to interact with the mobile device interface on the surface of the table

    Spectral broadening of a single Ce3+-doped garnet by chemical unit cosubstitution for near ultraviolet LED

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    In this paper, the isostructural Mg3Al2Si3O12 was introduced into the Ce3+-doped yttrium aluminum garnet (Y3Al5O12) for synthesizing (Y1-xMgx)3Al2(Al1-xSix)3O12:Ce3+ (x = 0-0.6) solid solution phosphors. The co-substitution of the (Mg, Si)6+ pair for the (Y, Al)6+ pair leads to lattice shrinkage and then changes the spectral shape and width. The band peaking at ~450 nm shows a substantial broadening with the full width at half maximum increasing from 65 nm to 94 nm. The intensity of excitation spectrum (x = 0.5) at 400 nm is increased by 50% than that (x = 0). The near ultraviolet LED was fabricated with Y1.5Mg1.5Al3.5Si1.5O12:Ce3+ phosphors and a 400 nm chip and can emit strong white light. Therefore, by controlling the content of (Y, Al)6+ substituted by (Mg, Si)6+, the excitation spectrum of Ce3+-doped Y3Al5O12 can be tuned and applied for the near ultraviolet LEDs

    A space charge trapping model and its parameters in polymeric material

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    In this paper, characteristics of charge trapping and detrapping in low density polyethylene under dc electric field are investigated using the pulsed electroacoustic technique. It is found that the charge decay shows very different features for the samples with different periods of applied electric field. A simple trapping and detrapping model based on two trapping levels is proposed to qualitatively explain the observation. At the same time, numerical simulation based on the above model is carried out to extract parameters (trap depths and concentration related to the material. It is found that the space charge decaying in the first few hundred seconds, corresponding to the fast changing part of the slope, is trapped in a shallow trap with a depth in a range between 0.77 and 0.81 eV, and the trapped charge density reaches (1.168–1.553) ×1019 m-3 in the sample volume measured. At the same time, the space charge that decays at longer time, corresponding to the slower part of the slope, is trapped in a deep trap with a depth in a range of 0.96 and 1.01 eV, and the trapped charge density is (1.194–4.615) ×1018 m-3. The trap depths and charge densities of both shallow and deep traps may increase with ageing, and the parameters of two energy wells can be used as an indication of the material aging

    Geothermal Water Exploration of the Maoyanhe Hot Spring Scenic Spot in Zhangjiajie Using the Natural Electric Field Frequency Selection Method

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    Natural electric field frequency selection method was proposed by Chinese scholars in the 1980s on the basis of imitating the field observation method of the magnetotelluric method (MT). It can only measure the magnetotelluric field components of one or several frequencies on the surface to determine the existence of underground geological bodies. This method has played an important role in shallow groundwater exploration. This paper mainly discusses the application of frequency selection method in the exploration of underground hot water in the Maoyanhe Scenic spot, Zhangjiajie City, Hunan Province, in order to illustrate the effectiveness of the frequency selection method in water exploration. According to the situation of the construction site, nearly 20 geophysical prospecting survey lines of varying lengths were laid flexibly within the red line of the Maoyan River Scenic Spot. Firstly, three-frequency (170 Hz, 67 Hz and 25 Hz) measurements were carried out on each survey line to preliminarily determine the possible horizontal location of underground hot water. Secondly, in the vicinity of the low potential anomaly of the three-frequency curve, the fine measurement by using multi-frequency bipolar profile method was further carried out. The specific distribution of underground hot water was determined based on the principle of frequency domain sounding and the static effect characteristics of the electromagnetic method so as to provide a scientific basis for the drilling layout. Finally, the reliability of the frequency selection method is verified by two verification boreholes. The results indicate that the frequency selection method is one of the effective geophysical exploration methods in groundwater exploration

    Fast Recognition on Shallow Groundwater and Anomaly Analysis Using Frequency Selection Sounding Method

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    The validity of the frequency selection method (FSM) in shallow (MN and groundwater depth in FSM sounding method was analyzed and preliminary theoretical research was carried out by a simple geologic-geophysical model of sphere. Firstly, under the combined action of horizontal alternating electric field and alternating magnetic field, a simplified geophysical model of low resistivity conductive sphere in homogeneous half space was established, and the forward calculation was performed on the FSM sounding curve. Then, the water yield of 131 wells in the application of FSM in the Rural Drinking Water Safety Project of 12th Five-Year Plan in Guangxi Province was counted. In addition, detailed tabular statistical analysis was carried out on the drilling results of 98 drilling wells, and the relationship between potential electrode spacing MN at abnormal sounding curve and actual drilling water depth was compared and studied. Theoretical analysis and practical application show that FSM has obvious effectiveness in shallow groundwater exploration, and it is an effective method to determine shallow groundwater well locations in the future. The cause of FSM anomaly is the comprehensive effect of the natural 3D alternating electromagnetic signal underground. At the same time, the practical statistics show that there is 1:1 approximation between the size of potential electrode spacing MN at the anomaly curve of the frequency selection method and the actual drilling water depth, which verifies the correctness of the theoretical simulation results. FSM could be widely used in the shallow groundwater exploration in the future, and it is an effective, non-destructive, fast, and low-cost geophysical method

    Discussion on Airworthiness Requirement of Widespread Fatigue Damage – Safe-life Methodology or Damage-tolerance Methodology

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    AbstractRegulatory action and research conducted by FAA and industries to preclude widespread fatigue damage occurring in transport airplane fleet is introduced, especially the milestones in the rulemaking course. This article gives an interpretation of the current airworthiness requirement relating to widespread fatigue damage and limit of validity based on analysis of the widespread fatigue damage characteristics. The conclusion is made that the methodology of the current airworthiness requirement is a methodology both safe-life and damage-tolerance since that MSD/MED cracks are difficult to detect

    Microstructure and mechanical properties of nano-SiC/AlSi7Mg composites fabricated by selective laser melting

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    The nano-SiC/AlSi7Mg mixed powder was prepared by mechanical mixing method. The specimens of nano-SiC particle reinforced AlSi7Mg composite were fabricated by selective laser melting (SLM). The relative density, phase and microstructure were observed and analyzed, and the microhardness and tensile properties were tested. The results show that the relative densities of SLM nano-SiC/AlSi7Mg composite are increased firstly and then decreased with the increase of scanning speed and scanning space, and the maximum relative density reaches 99.75%. The microstructure of specimens is similar to that of SLM-formed Al-Si alloys, and the network-structured Si phase is uniformly embedded in the α-Al matrix. There are nano-SiC agglomerates and Mg2Si phase in the α-Al matrix, which has a similar distribution to Si. Compared with AlSi7Mg, the microstructure of specimens is changed from columnar to equiaxed grain, and the grains are significantly refined (the average grain size is 1.36 μm). Due to the addition of SiC, grain refinement strengthening and solid solution strengthening are produced, and the hardness and strength of composite are significantly improved. The hardness, tensile strength and yield strength reach 137.3HV, 448.3 MPa and 334.7 MPa, respectively. However, the elongation is reduced to 3.9%, and the fracture mode is mainly brittle fracture
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