1,723,638 research outputs found
SI1.0.Sun-Wei Guo.docx
Supplemental Material of Sun-Wei Guo's manuscript to The Journal of Clinical Endocrinology & Metabolis
RFDrive: Tagged Human-Vehicle Interaction for All
Human–vehicle interaction is an important factor for safe driving. The driver needs to interact with the in-vehicle steering wheel and infotainment system properly during driving. Specifically, driving guidelines require the driver to hold the steering wheel at the 3 o’clock and 9 o’clock positions. Moreover, the in-vehicle infotainment system should be more adaptive for the driver and front-seat passenger during driving (i.e., the in-vehicle infotainment system should be part and even fully disabled for the driver, whereas the front-seat passenger should be able to enjoy the full in-vehicle infotainment system). However, affordable vehicles are usually designed to achieve basic driving functions without considering safe human–vehicle interactions, which require an add-on, affordable, and ready-to-use human–vehicle interaction monitoring system.
In this article, we present RFDrive, a system that can simultaneously locate the driver’s hand positions on the steering wheel and automate in-vehicle infotainment system touch discrimination for safe driving using commodity passive RFID tags. Since these commodity passive RFID tags are low cost (i.e., around 5 cents per tag), battery free, and are small, like a sticker, our design will enable not only safe driving but is also low cost, which can lead to sustainable solutions. To do so, we attach RFID tags on the steering wheel for the driver’s hand position location and attach RFID tags on the roof of the vehicle’s interior for in-vehicle infotainment system touch discrimination (i.e., differentiating the driver’s infotainment system touch and front-seat passenger’s infotainment system touch). However, the wheel steering will distort the wireless channel-based driver’s hand position location on the steering wheel. Thus, we propose a novel tag ID-based algorithm to locate the driver’s hand position on the steering wheel by harnessing the human body as part of the RFID tag’s antenna. Since the in-vehicle infotainment system touch from the driver or front-seat passenger will affect different RFID tags attached to the roof of the vehicle’s interior, we propose to use the differential amplitude of backscattered signals from all the tags to discriminate in-vehicle infotainment system touch sources. Our experiments show that RFDrive can achieve the average accuracy of 0.98 and 0.98 for in-vehicle touch source discrimination and driver’s hand position location, respectively
Studies on aminocyclobutenone rearrangements and a new C-H activation annulation reaction leading to N-heterocycles
This thesis describes study of aminocyclobutenone rearrangements. Thermal and photo rearrangements of cyclobutenones have become established as useful methods for the synthesis of quinones, naphthoquinones and furanones, some of which show useful biological activity. Though widely used, little is known about the behaviour of aminocyclobutenones. Herein, thermolyses and photolyses of aminocyclobutenones under continuous flow were studied in depth. DFT calculations were employed to bring greater understanding to our experimental results and identify new avenues for study.In this work we also introduce a novel metal-free C-H activation and annulation reaction which could lead to N-heterocycles. Experimental work and DFT calculations were performed to understand the nature of this unusual reaction. We also delineated the regioselectivity and diastereoselectivity of this reaction.A new rearrangement of cyclobutenones leading to 2-oxobut-3-enamides at low temperature has also been introduced. This new rearrangement offers a short and efficient route to synthesise highly substituted furans
Showcasing Japan A Journey of Japanese Identity through Archaeology and Ancient Art Exhibitions in Italy
To what extent does the narrative of Japan’s prehistorical origins matter to Italy? In the second half of the twentieth century, Palazzo delle Esposizioni in Rome hosted two significant exhibitions dedicated to Japanese archaeology and ancient art: Tesori dell’Arte Giapponese in 1958 and Il Giappone prima dell’Occidente in 1995. Both displays provided Italian visitors with an unparalleled framework to engage with early artistic manifestations of the archipelago known today as Japan. Built on a critical analysis of the prehistoric and protohistoric artefacts from the Jōmon to Kofun periods selected for the Italian audience, this paper examines the active application of narrative discourse on Japan’s identity by the Japanese government in Italy. Still, it also sheds light on the presence of Japanese archaeology and art in Italian public and private collections throughout the twentieth century. The analysis delves into the textual and visual presentation of exhibits, examining both the venue and catalogues. These sources offer insights into potential instances of orientalism or self-orientalism, revealing a narrative closely tied to stereotypical views. The investigation unravels aspects of Japan’s past emphasised in diplomatic shows, evolving alongside ground-breaking archaeological discoveries in post-war Japan
Volume–dependent or pressure-dependent effect on renal function after spinal anesthesia.
Thermal and stress analyses of a novel coated steam dual pipe system for use in advanced ultra-supercritical power plant
Improving the energy efficiency of advanced ultra-supercritical power plants, by increasing steam operating temperature up to 700℃, can be achieved, at reduced cost, by using novel engineering design concepts, such as coated steam pipe systems manufactured from high temperature materials commonly used in current operational power plants. This paper describes a preliminary feasibility analysis of the design concept of a novel coated dual pipe system under steady-state operation, using analytical and finite element models to evaluate the possible thermal gradients and stresses generated. The results show that the protective coating layer contributes to the effective reduction in the surface temperature of the primary steel pipe. Thermal stresses generated due to the significant difference in the thermal and mechanical properties of the coating and substrate pipe are larger than the mechanical stresses generated by the combined effects of the internal steam pressure in the primary steam pipe and external pressure from the counter-flow cooling steam during steady-state operation. Compared with the stress relaxation of the coating and substrate pipe, creep has a significant impact on the stress distribution within the coating layer. Several key factors have been identified, such as the coating thickness, conductivity, thermal expansion, heat transfer coefficient of cooling steam, cooling steam temperature and cooling steam pressure, which are found to govern thermal and stress distributions during steady-state operation
Determination of Creep Damage Properties from Small Punch Creep Tests Considering Pre-Straining Effect Using an Inverse Approach
© 2019 Elsevier Ltd Although the small punch creep test (SPCT) has been commonly accepted as an effective small specimen material characterisation technique (e.g. the European Code of Practice (CoP) for small punch test was produced in 2006 to provide a practical guideline for the experimental work and data interpretation of small punch test), the conversion from the experimental results obtained from the SPCT, i.e. displacement-time data, to the corresponding strain-time data obtained from conventional uniaxial creep tests has not been thoroughly understood due to the complex nature of the deformation and material failure mechanisms involved in the SPCT, e.g. contact mechanism, material nonlinearity, large deformation and initial plasticity damage. The current paper presents an inverse method to determine the creep properties directly from the SPCT experimental results, without converting them to the uniaxial creep test data. A finite element (FE) model taking account of the conventionally overlooked pre-straining effect has been employed for an inverse optimisation method for the first time. The inverse method has been proven to be capable of effectively predicting the creep behaviours of a P91 steel at 600 °C with a good agreement to the experimental results
Modeling of anchored CFRP strips bonded to concrete
A computational model was developed for simulating the load transfer mechanisms from Carbon Fiber Reinforced Polymer (CFRP) strips to CFRP anchors in reinforced concrete strengthening applications. Of particular interest was a model capable of reproducing the strength and strain distributions in anchored CFRP strips up to fracture. Computational results were compared with experimental results from concrete beams strengthened using various anchor and strip details. The numerical results showed good correlation with the experimental results both at the beam response level and the CFRP strain level. The sensitivity of computational results to key modeling assumptions was also examined
SoK: Secure human-centered wireless sensing
Submitted on 22 Nov 2022 (v1), last revised 9 Mar 2024 (this version, v2)View article here: arXiv:2211.12087v2Human-centered wireless sensing (HCWS) aims to understand the fine-grained environment and activities of a human using the diverse wireless signals around him/her. While the sensed information about a human can be used for many good purposes such as enhancing life quality, an adversary can also abuse it to steal private information about the human (e.g., location and person's identity). However, the literature lacks a systematic understanding of the privacy vulnerabilities of wireless sensing and the defenses against them, resulting in the privacy-compromising HCWS design.
In this work, we aim to bridge this gap to achieve the vision of secure human-centered wireless sensing. First, we propose a signal processing pipeline to identify private information leakage and further understand the benefits and tradeoffs of wireless sensing-based inference attacks and defenses. Based on this framework, we present the taxonomy of existing inference attacks and defenses. As a result, we can identify the open challenges and gaps in achieving privacy-preserving human-centered wireless sensing in the era of machine learning and further propose directions for future research in this field
Revealing hidden IoT devices through passive detection, fingerprinting, and localization
Internet-of-things (IoT) devices (e.g., micro camera and microphone) are usually small form factor, low-cost, and low-power, which makes them easy to conceal and deploy in the indoor environment to spy on people for human private information such as location and indoor activities. As a result, these IoT devices introduce a great privacy and ethical threat. Therefore, it is important to reveal these concealed IoT devices in the indoor environment for human privacy protection.
This paper presents RFScan 1, a system that can passively detect, fingerprint, and localize diverse concealed IoT devices in the indoor environment by sensing their unintentional electromagnetic emanations. However, sensing these emanations is challenging due to the weak emanation strength and the interference from the ambient wireless communication signals. To this end, we boost the emanation strength through the non-coherent averaging based on the emanation signal’s characteristics and design a novel suppression algorithm to mitigate interference from the wireless communication signals. We further profile emanations across frequency and time that act as the emanation source’s unique signature and customize a deep neural network architecture to fingerprint the emanation sources. Furthermore, we can localize the emanation source with an angle-of-arrival (AoA) based triangulation approach. Our experimental results demonstrate the efficiency of the IoT devices’ detection, fingerprinting, and localization across different indoor environments
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