Smartwatch has become one of the most popular wearable computers on market. We conduct an IRB-approved measurement study involving 27 Android smartwatch users. Using a 106-day dataset collected from our participants, we perform in-depth characterization three key aspects usage "in wild": patterns, energy consumption, and network traffic. Based findings, identify ecosystem that can be further improved, propose recommendations, point out future research directions.

This article investigates a novel Bluetooth odometer (BOD)-aided smartphone-based vehicular navigation system for satellite-denied environments. First, wheel-mounted BOD is designed to measure rotational speed and send data smartphones by transmission. Second, nonlinear microelectromechanical (MEMS) inertial measurement unit (IMU)/BOD error model derived solve the problem of azimuth divergence. Then, position delay time proposed compensate An Android app developed receive from transmission,...

Due to the increasingly complex global climatic environment and rapid development of China’s urban construction, historical cultural cities are experiencing an external impact as well internal fragility. Representing capacity system address pressure, resilience can effectively guarantee sustainable cities. A scientific reasonable assessment guide construction in effort counter pressure they face. Therefore, it is necessary research On basis adaptive (CAS), by applying multiple indicators,...

This article investigates an encoder-based relative attitude observation method for self-calibration in a dual-axis rotational inertial navigation system (RINS). First, the calibration error of gyroscope parameters caused by velocity and position observations systematic is analyzed. Second, utilizing photoelectric encoders parameter estimation proposed. We apply proposed our designed RINS to verify its effectiveness this article. Experimental results show that accuracy can be improved 0.0005...

Music representation learning is notoriously difficult for its complex human-related concepts contained in the sequence of numerical signals. To excavate better MUsic SEquence Representation from labeled audio, we propose a novel text-supervision pre-training method, namely MUSER. MUSER adopts an audio-spectrum-text tri-modal contrastive framework, where text input could be any form meta-data with help templates while spectrum derived audio sequence. Our experiments reveal that more flexibly...

Pedestrian Navigation System (PNS) is one of the research focuses indoor positioning in GNSS-denied environments based on MEMS Inertial Measurement Unit (MIMU). However, foot-mounted pedestrian navigation system with MIMU or mobile phone as main carrier, it difficult to make sampling time gyros and accelerometers completely synchronous. The gyro-accelerometer asynchronous affects PNS. To solve this problem, a new error model built. effect analyzed. A filtering designed calibrate time,...

Dual-axis rotational inertial navigation systems (RINSs) can be categorized into inner-azimuth RINSs and outer-azimuth based on different frame structures. Previous systematic calibration methods mainly involved tri-axis turntables or dual-axis turntables. However, the conventional cannot applied to due constraints mechanical structure. Upon analyzing measurement unit (IMU) error stimulation of RINS under static conditions, specific IMU errors are revealed unobservable weakly observable,...

The sparse Mixture-of-Experts (MoE) model is powerful for large-scale pre-training and has achieved promising results due to its capacity. However, with trillions of parameters, MoE hard be deployed on cloud or mobile environment. inference requires expert parallelism, which not hardware-friendly communication expensive. Especially resource-limited downstream tasks, such structure sacrifice a lot computing efficiency limited performance gains. In this work, we observe most experts contribute...

With the development of semiconductors industry. Screening and characterization test high-performance chips on ATE (Automatic Test Equipment) are facing much more challenges. In order to improve coverage efficiency, IPs being tested using firmware test. This paper provides a common framework solution for V93000 implement At same time, an innovation HTOL (high-temperature operation life test) CHAR (characterization) is introduced in this paper.

The energy consumption in communication networks has attracted increasing attentions. However, the survey shows that network is still idle at some time due to redundant deployment of and varying traffic requirements. Sleeping an efficient way save since state consumes almost 90% busy state. Considering a centralized sleeping scheduling complicated for implementation, we propose user-motivated topology formation scheme green networks. Furthermore, model analyze our proposal using potential...

Typically, traditional mix signal test theory on ATE cannot fully meet the accuracy requirement of ultra-high-speed ADC's dynamic performance. Extra complex factors must be taken into consideration, such as chip intrinsic spur and system introduced spur, insertion loss ADC high-speed input caused by load board hardware bandwidth limitation, etc. Hence, this paper presents two innovative technologies platform to support post-calibration scenery. First, accurate reliable algorithms for...

Abstract This paper presents a precise circuit model for predicting the shielding effectiveness (SE) and resonances of cylindrical enclosure. In this model, waveguide theory is combined with Robinson to deal influence high-order modes arbitrary position. The transmission line applied calculate enclosure equipped symmetric apertures or dielectric layer. results show that proposed can accurately orthogonal components voltage response predict SE monitor point over wide frequency range. Compared...

We present femtosecond optical pump-terahertz probe studies on the ultrafast dynamical processes of photo-generated charge carriers in silicon photovoltaic cells with various nanostructured surfaces and doping densities. The pump-probe measurements provide direct insight lifetime carriers, frequency-dependent complex dielectric response along photoconductivity excited by pump pulses. A tens nanosecond is identified from time-dependent pump-induced attenuation terahertz transmission. In...

This paper proposed an innovative data-driven approach DNN-based Precision Teaching Model (DNN-PTM) combining teaching strategies, quality and learning effect with deep neural network techniques. We implement Deep Neural Network (DNN) to evaluate by analyzing data. DNN-PTM aims provide personalized adaptive the characteristics of "precise student-centered learning". It focuses on developing dynamic auto-tuning instructions cater preferences for each student not class. Moreover, can establish...

Abstract No new building can be built without the computer room. The room is just like soul of information system. construction any large-scale system inseparable from support network, host and other communication equipment. This paper studies optimization whole From five aspects practicality advanced nature, safety reliability, standardization, flexibility extensibility, manageability, introduces principles electronic room, forms a complete set design for At present, serial commonly used in...

Equipment with simulation training capability makes the equipment can be used in a real environment to carry out training, achieve "equipment only war" war one" use mode change; typical optoelectronic detection as object, built universal design framework of system based on LVC simulation, composition and function signal simulator software are studied, flow is designed.

From the four aspects of low frequency oscillation principle, analytical methods, affecting factors, and control policy, author summaries study status analyses progress research in field. According to actual power system new characteristics appear, puts forward mechanism problem, namely: needs solve problems. In addition this, combining with accomplishment others fields, such as: subject, Structural electronic technology etc, paper is concerned about thinking methods policy for oscillation,...

Welcome to the WIT Press eLibrary - home of Transactions Wessex Institute collection, providing on-line access papers presented at Institute's prestigious international conferences and from its State-of-the-Art in Science & Engineering publications.

Welcome to the WIT Press eLibrary - home of Transactions Wessex Institute collection, providing on-line access papers presented at Institute's prestigious international conferences and from its State-of-the-Art in Science & Engineering publications.

Generally, residual connections are indispensable network components in building Convolutional Neural Networks(CNNs) and Transformers for various downstream tasks Computer Vision(CV), which encourages skip/short cuts between blocks. However, the layer-by-layer loopback may also hurt model's robustness by allowing unsuspecting input. In this paper, we proposed a simple yet strong backdoor attack method called BadRes, where play as turnstile to be deterministic on clean inputs while...