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This paper introduces classification of electricity residential customers into different groups associated with individualized electricity price schemes, such as time-of-use (TOU) or critical peak pricing (CPP). We use an unsupervised learning method, K-means, assisted by a dimensionality reduction technique and an innovative supervised learning method, extreme learning machine (ELM), to cluster daily...
A real-time RGB-D based person detection and tracking system suitable is presented for mobile robots. Our approach combines RGB-D visual odometry estimation, target feature extraction, nearest point position information into a robust vision system that runs on open source robot operating system. As people detection is the most expensive component in any such integration, we invest significant effort...
In this paper, we present a comprehensive comparison of wavelet features for the classification of snore sounds. Wavelet features have proven to be efficient in our previous work; however, the benefits of wavelet transform energy (WTE) and wavelet packet transform energy (WPTE) features were not clearly established. In this study, we firstly present our updated snore sounds database, expanded from...
This paper first discusses the D-pole placement problem of fractional-order linear systems. Some criteria are proposed to ensure that all the closed-loop eigenvalues of fractional-order linear systems are located inside a specific region S(a, r, θ). Then, necessary and sufficient D-stability condition of fractional-order linear systems guaranteeing the D-stability is presented. Conditions for feasibility...
This paper investigates the coupling of three nonlinear fractional differential equations, which analyzes the dynamic characteristics of the system and uses the modified DTM method to solve the nonlinear fractional differential equation of it. We use the method of ‘0–1 test’ to verify chaotic of the system, compute Lyapunov exponents to verify the regimes of chaotic dynamics, and design a nonlinear...
Owing to Ethernet's low cost, high bandwidth and architecture openness, much attention has been paid to develop converged Ethernet to support both time-critical services and conventional communication services on a unified network infrastructure. The greatest challenge here is providing low and deterministic latency for time-critical packets. Recently, the IEEE time sensitive networking task group...
Congestion control is an indispensable mechanism in the new trend of enhanced Ethernet as a unified fabric for traditional LAN, SAN, and high-performance computing networks. A congestion management framework for Converged Ethernet (CE) networks has been standardized by IEEE 802.1 Qau work group, and QCN is recommended as the congestion control scheme in the standard draft. QCN is heuristically designed...
Bird sounds have been studied in recent years due to their significance in helping ornithologists, and ecologists to monitor birds activities, which reflect climate changes, biodiversity, and reserves local protection status. Within the increasingly collected large amount of bird sound data from experts and amateurs, how to handle, and employ the state-of-the-art deep learning methods to mining such...
In recent years, WiFi-based sensing applications have been proliferated due to growing capacities of the physical layer. Channel State Information (CSI), which depicts the characteristics of propagation environment and reflects different human behaviors, can be easily obtained on commodity WiFi devices with slight driver modification. For the sake of higher accuracy and robustness of CSI-based sensing,...
Snore sound (SnS) data has been demonstrated to carry very important information for diagnosis and evaluation of sleep related breathing disorders with high prevalence, such as Primary Snoring and Obstructive Sleep Apnea (OSA) — a serious chronic sleep disorder with a big community. With the increasing number of collected SnS data from subjects, how to handle such large amount of data is a big challenge,...
Recognizing human daily activities will enhance the capability of a service robot that interacts with humans. Such a task is challenging due to the complex and dynamic nature of human gestures in interaction, which brings about much difficulty in the reliability and real-time performance of activity recognition. In this paper a reliable and fast RGB-D based daily activity recognition method for service...
Organizational career management has gradually become an important part of human resource management, which directly affects the job involvement of employees and the loyalty to the organization. This paper use the big data analysis technological constructs the organizational career management of knowledge type staff involved in the theoretical model of mechanism. The conclusion is that fair promotion,...
The influence of temperature on the dynamical read performance of tags is presented in this paper. A RFID detection system including a temperature control is devised to simulate the influence of temperature on the dynamic reading performance of UHF RFID system. The reading distance of a RFID tag is measured at different temperature. The result shows that the reading distance of RFID tag reduces with...
Surface engineering is crucial to enable the functions of materials and device in diverse research fields. Although micro-needles have unique advantages for bio-analytical application, its surface engineering is rarely investigated. Herein, we present several physical/chemical approaches to engineer the surface of micro-needles which may serve as a novel platform for bio-analytical applications.
Modern mobile devices are equipped with multiple antennas, which brings various wireless sensing applications such as accurate localization, contactless human detection and wireless human-device interaction. A key enabler for these applications is phased array signal processing, especially Angle of Arrival (AoA) estimation. However, accurate AoA estimation on commodity devices is non-trivial due to...
Compressive Sampling(CS) has been utilized to save transmission consumption of sensors. In spite of the remarkable efforts the community put to a variety of designs, a everlasting issue still remains that how sensors further economize energy through referring to their CS-based execution operations, motivating us to explore the answer from a point of real deployment platform view. In our work, we propose...
Ultra low power (ULP) applications use supply voltage (Vdd) scaling as an effective way of reducing power. However, as Vdd is scaled near the threshold voltage (Vt), increased variability limits the minimum Vdd and power that can be realized. This paper outlines a Veff variability framework to capture the total delay variation seen in digital circuits and describes its applicability for near-threshold...
Location and form of the upper airway obstruction is essential for a targeted therapy of obstructive sleep apnea (OSA). Utilizing snore sounds (SnS) to reveal the pathological characters of OSA patients has been the subject of scientific research for several decades. Fewer studies exist on the evaluation of SnS to identify the corresponding obstruction types in the upper airway. In this study, we...
Automatically classifying bird species by their sound signals is of crucial relevance for the research of ornithologists and ecologists. In this study, we present a novel framework for bird sounds classification from audio recordings. Firstly, the p-centre is used to detect the ‘syllables’ of bird songs, which are the units for the recognition task; then, we use our openSMILE toolkit to extract large...
Two-dimensional (2-D) barcode, which takes advantage of codes in both horizontal and vertical directions to carry information, is developed from the traditional one-dimensional (1-D) barcode. In this paper, based on the requirement of large-scale logistics environment, a 2-D barcode dynamic recognition system is developed which is capable of detecting and reading 2-D barcodes in motion. To evaluate...
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