FarSense: pushing the range limit of WiFi-based respiration sensing with CSI ratio of two antennas

International audienceThe past few years have witnessed the great potential of exploiting channel state information retrieved from commodity WiFi devices for respiration monitoring. However, existing approaches only work when the target is close to the WiFi transceivers and the performance degrades significantly when the target is far away. On the other hand, most home environments only have one WiFi access point and it may not be located in the same room as the target. This sensing range constraint greatly limits the application of the proposed approaches in real life. This paper presents FarSense-the first real-time system that can reliably monitor human respiration when the target is far away from the WiFi transceiver pair. FarSense works well even when one of the transceivers is located in another room, moving a big step towards real-life deployment. We propose two novel schemes to achieve this goal: (1) Instead of applying the raw CSI readings of individual antenna for sensing, we employ the ratio of CSI readings from two antennas, whose noise is mostly canceled out by the division operation to significantly increase the sensing range; (2) The division operation further enables us to utilize the phase information which is not usable with one single antenna for sensing. The orthogonal amplitude and phase are elaborately combined to address the "blind spots" issue and further increase the sensing range. Extensive experiments show that FarSense is able to accurately monitor human respiration even when the target is 8 meters away from the transceiver pair, increasing the sensing range by more than 100%. 1 We believe this is the first system to enable through-wall respiration sensing with commodity WiFi devices and the proposed method could also benefit other sensing applications

WiMorse: a contactless Morse code text input system using ambient WiFi signals

International audienceRecent years have witnessed advances of Internet of Things (IoT) technologies and their applications to enable contactless sensing and human-computer interaction in smart homes. For people with Motor Neurone Disease (MND), their motion capabilities are severely impaired and they have difficulties interacting with IoT devices and even communicating with other people. As the disease progresses, most patients lose their speech function eventually which makes the widely adopted voice-based solutions fail. In contrast, most patients can still move their fingers slightly even after they have lost the control of their arms and hands. Thus we propose to develop a Morse code based text input system, called WiMorse, which allows patients with minimal single-finger control to input and communicate with other people without attaching any sensor to their fingers. WiMorse leverages ubiquitous commodity WiFi devices to track subtle finger movements contactlessly and encode them as Morse code input. In order to sense the very subtle finger movements, we propose to employ the ratio of the Channel State Information (CSI) between two antennas to enhance the Signal to Noise Ratio. To address the severe location dependency issue in wireless sensing with accurate theoretical underpinning and experiments, we propose a signal transformation mechanism to automatically convert signals based on the input position, achieving stable sensing performance. Comprehensive experiments demonstrate that WiMorse can achieve higher than 95% recognition accuracy for finger generated Morse code, and is robust against input position, environment changes, and user diversity

The Mechanism of Antifungal Action of Essential Oil from Dill (Anethum graveolens L.) on Aspergillus flavus

The essential oil extracted from the seeds of dill (Anethum graveolens L.) was demonstrated in this study as a potential source of an eco-friendly antifungal agent. To elucidate the mechanism of the antifungal action further, the effect of the essential oil on the plasma membrane and mitochondria of Aspergillus flavus was investigated. The lesion in the plasma membrane was detected through flow cytometry and further verified through the inhibition of ergosterol synthesis. The essential oil caused morphological changes in the cells of A. flavus and a reduction in the ergosterol quantity. Moreover, mitochondrial membrane potential (MMP), acidification of external medium, and mitochondrial ATPase and dehydrogenase activities were detected. The reactive oxygen species (ROS) accumulation was also examined through fluorometric assay. Exposure to dill oil resulted in an elevation of MMP, and in the suppression of the glucose-induced decrease in external pH at 4 µl/ml. Decreased ATPase and dehydrogenase activities in A. flavus cells were also observed in a dose-dependent manner. The above dysfunctions of the mitochondria caused ROS accumulation in A. flavus. A reduction in cell viability was prevented through the addition of L-cysteine, which indicates that ROS is an important mediator of the antifungal action of dill oil. In summary, the antifungal activity of dill oil results from its ability to disrupt the permeability barrier of the plasma membrane and from the mitochondrial dysfunction-induced ROS accumulation in A. flavus

Understanding the Competitive Dynamics in Emarketplace: An Action Sequence Analysis Approach

Prior e-commerce studies have advanced our understanding of how e-marketplace sellers’ both single usage and configurations of platform-based functions (PBFs) as competitive actions to enhance their sales performance. However, with the mature of the e-marketplaces, it has been an essential capability for sellers to make sense of their rivals’ actions holistically and agilely respond to them so as to enhance their sales performance. Thus, overlooking the evolution of the usage sequence of these functions by sellers over time has limited our understanding of the competitive dynamics in emarketplace. To unfold the patterns of competitive attacks of e-marketplace sellers over time, we developed a research model that incorporates the four properties presented in e-marketplace sellers’ usage sequence of PBFs over time (i.e., simplicity, predictability, grouping and motif) and sales performance by drawing on competitive dynamic literature. To test the research model, we have collected a longitudinal dataset of 1000 Taobao sellers over ten months

Which Collective Signals Drive High Performance in the E-Marketplace? A Configurational Perspective

In the rapid growth of the e-marketplace, it has become increasingly important for sellers to use multiple signals (e.g. reputation, pricing-oriented functions, and warranty) to address information asymmetry issues and achieve high performance. Extant signaling literature mainly focus on the attributes of multiple signals, however, with no investigation of which configurations of multiple signals lead to high performance in the e-marketplace. Drawing on configuration theory and signaling theory, we propose that sellers should release collective signals of both product quality and sellers’ credibility to achieve high performance. By employing fsQCA, a rigorous approach for configuration analysis, we empirically test our hypotheses based on an observation dataset of 3,333 sellers in the apparel industry on Taobao.com. The theoretical and practical implications of this study are discussed

Addressing robust travel mode identification with individual trip‐chain trajectory noise reduction

Abstract Identifying travel modes from Global Navigation Satellite System (GNSS) trajectories is helpful for traffic management. In mode identification, the motion features are extracted from trajectories to train the classifiers. However, features would be distorted by the positioning noise when migrating existing frameworks to poor‐quality tracks. This study aims to answer how to eliminate the impact of positioning error on mode identification. Specifically, six widely used Trajectory Noise Reduction (TNR) methods were tested. Representative motion features were calculated and sent to several classical classifiers to evaluate the effect of TNR. Then, the extent to which TNR restores motion features is analysed by information gain. To verify the robustness of these methods, multiple noise scenarios are designed to simulate possible positioning noise. The results show that the trajectory smoothing methods perform better than the outlier elimination methods regardless of the type and magnitude of noise. In particular, the Gaussian kernel smoothing can achieve the highest effect in almost all noise scenarios. For untested TNR methods that require a time window radius parameter, a 30‐s time window is a good candidate. Moreover, the visualisation verification cannot ensure the best TNR method for travel mode identification

In Vitro and In Vivo Activities of Essential Oil from the Seed of Anethum graveolens L. against Candida spp.

The essential oil produced from the seed of Anethum graveolens L. (Umbelliferae) was tested in vitro and in vivo anti-Candida activity. The microbroth dilution method was used in the minimal inhibitory concentration (MIC), according to M27-A3 of the guidelines of the Clinical and Laboratory Standard Institute (CLSI). And then, efficacy evaluation of essential oil in the prophylaxis and treatment of experimental vaginal candidiasis was performed in immunosuppressed mice. The anti-Candida activity was analyzed by microbiological and histological techniques and was compared with that of fluconazole (FCZ). The results showed essential oil was active in vitro against all tested strains, with MICs ranging from 0.312 μL/mL (for C. tropicalis, C. parapsilosis, and C. krusei) to 0.625 μL/mL (for 6 isolated C. albicans strains). Essential oil (2% v/v) was highly efficacious in accelerating C. albicans 09-1555 clearance from experimentally infected mice vagina by prophylaxis and therapeutic treatments. In both therapeutic efficacy and prophylaxis studies, the histological findings confirmed the microbiological results. The experimental results revealed that the tested essential oil is effective against vulvovaginal candidiasis in immunosuppressed mice

Study of Secondary Effects of Fatigue Cracks in Cross Partitions of Steel Plate Reinforced Steel Box Girders

In order to investigate the effect of optimized reinforcement of cross-section of steel box girders with fatigue cracks on other vulnerable parts (cross-section, U-rib and deck slab, etc.) under wheel load, and to reveal the stress distribution law of critical parts after the optimization of steel plate reinforcement or arc notch. In this work, a suspension bridge with fatigue cracks in the curved notch of the cross-sectional plate is considered as the research object, two types of curved notch optimization reinforcement solutions are considered and finite element analysis is performed. Longitudinal and transverse moving loading tests were conducted with a test vehicle to test the stresses in the critical parts of the curved cutout of the cross-section. Furthermore, the effects of the two optimized strengthening solutions on the stresses in the curved cutout, the sides of the diaphragm, the sides of the U-rib and the deck slab were analyzed, and the effects of the changes in the diaphragm stiffness on other critical vulnerable structures were analyzed. The study shows that when the “arc notch optimization” strengthening scheme is adopted for crack-free or short cracks, although it can effectively improve the stress transfer path of the arc notch of the diaphragm, it also weakens the cross-sectional area of the diaphragm and has little effect on the diaphragm side, U-rib and deck plate. When the long crack is reinforced by “arc notch optimization + steel plate reinforcement”, it is easy to cause a reaction to the diaphragm sides arranged at the junction area of the diaphragm arc notch and U-rib without steel plate coverage, and the stress will be slightly higher than that when the diaphragm is not optimized. The steel plate reinforcement hurts the lateral stress of the U-rib, but the reinforcement effect will not have any effect on the deck plate

Study of Secondary Effects of Fatigue Cracks in Cross Partitions of Steel Plate Reinforced Steel Box Girders

In order to investigate the effect of optimized reinforcement of cross-section of steel box girders with fatigue cracks on other vulnerable parts (cross-section, U-rib and deck slab, etc.) under wheel load, and to reveal the stress distribution law of critical parts after the optimization of steel plate reinforcement or arc notch. In this work, a suspension bridge with fatigue cracks in the curved notch of the cross-sectional plate is considered as the research object, two types of curved notch optimization reinforcement solutions are considered and finite element analysis is performed. Longitudinal and transverse moving loading tests were conducted with a test vehicle to test the stresses in the critical parts of the curved cutout of the cross-section. Furthermore, the effects of the two optimized strengthening solutions on the stresses in the curved cutout, the sides of the diaphragm, the sides of the U-rib and the deck slab were analyzed, and the effects of the changes in the diaphragm stiffness on other critical vulnerable structures were analyzed. The study shows that when the “arc notch optimization” strengthening scheme is adopted for crack-free or short cracks, although it can effectively improve the stress transfer path of the arc notch of the diaphragm, it also weakens the cross-sectional area of the diaphragm and has little effect on the diaphragm side, U-rib and deck plate. When the long crack is reinforced by “arc notch optimization + steel plate reinforcement”, it is easy to cause a reaction to the diaphragm sides arranged at the junction area of the diaphragm arc notch and U-rib without steel plate coverage, and the stress will be slightly higher than that when the diaphragm is not optimized. The steel plate reinforcement hurts the lateral stress of the U-rib, but the reinforcement effect will not have any effect on the deck plate