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In order to solve the problem of energy supply for wearable and portable electronic equipment and exoskeleton, a direct energy recovery mechanism based on hydraulic transmission principle was designed. Firstly, according to the particularity of human body structure and function, establish a theoretical model can reflect the state of human body by Lagrange modeling method. Based on the established...
We use periodic waveguide to achieve single-mode backward-wave that supports long-range optical pulling forces. We explore the ambiguity of backward-waves in the periodic system and eliminate aliased backward-waves that only generates pushing forces.
We report an optical switch based architecture for realizing optical computing. Numerical simulation has been performed to validate the architecture by adopting CMOS compatible PN depletion micro-ring resonator as the approach for optical switching.
In this paper, a novel hybrid DTC scheme is proposed for asymmetric six-phase PMSM drives, which can achieve faster dynamic response of classical ST-DTC scheme and good steady-state performance of classical SVM-DTC scheme. The key is that a completely novel control strategy for torque and stator flux is designed. Different torque control methods are adopted under dynamic mode and steady-state mode...
An interleaved current-fed capacitor-less DC/AC converter for PV systems is proposed in this paper with the merits low input current ripple, high power density and high reliability. This proposed DC/AC converter is composed of an interleaved current-fed dc/pulsating-dc converter cascaded with a three-phase pulsating-dc/ac inverter through pulsating-dc-link modulation. The pulse width modulation of...
An optimized modulation based on model predictive control for current-fed dual active bridge converter achieving high efficiency in wide load range is proposed in this paper. The low voltage side switches can realize zero current switching by secondary clamping technique. The pulse width modulation of secondary side switches is encoded with instantaneous power. When in light load, the turn-on moment...
Improvements of energy efficiency and reduction of electricity consumption can be promoted by growing knowledge on the determinants of residential electricity consumption level (RECL). Due to numerousness, complexity and multiple correlations among impact factors (IFs) of RECL, feature selection is an essential step to ensure the precision and stability of an explanatory model. However, the current...
As a major part of household electricity load in summer, air conditioning (AC) consumption demonstrates enormous demand response (DR) potentials and numerous AC based DR programs are carried out annually. Understanding electricity consumption behaviors is one of the key elements for utilities to design more cost-effective DR programs. So studying on the AC electricity usage habits is of great significance...
Highly automated driving tremendously reduces workload of drivers. However, the drivers may lose their visual attention to road ahead due to the out-of-the-loop problem. Haptic guidance has been developed to reduce drivers' workload while keeping the drivers in the control loop. The haptic guidance system continuously provides assistant torques on the steering wheel so that both the driver and the...
In the process of testing the arrester, cranes, lift trucks are normally required in order to test the arresters by removing the high voltage lead conductors. However it's normally a time-consuming, costly, heavy load word with potential risk to the technicians and equipment in the field. Therefore efforts are taken by the researchers to figure out a way to test the MOA (metal-oxide arrester) without...
Accurate automatic optimization heuristics are necessary for dealing with thecomplexity and diversity of modern hardware and software. Machine learning is aproven technique for learning such heuristics, but its success is bound by thequality of the features used. These features must be hand crafted by developersthrough a combination of expert domain knowledge and trial and error. This makesthe quality...
Increasingly sophisticated code obfuscation techniques are quickly adopted by malware developers to escape from malware detection and to thwart the reverse engineering effort of security analysts. State-of-the-art de-obfuscation approaches rely on dynamic analysis, but face the challenge of low code coverage as not all software execution paths and behavior will be exposed at specific profiling runs...
For high-dimensional magnetic resonance imaging (MRI) data, many feature selection methods have been proposed to reduce feature dimension in the study of computer-aided Alzheimer's disease (AD) diagnosis. This paper presents a compartmental sparse feature selection method used for AD identification. Based on the derived atlas-based regions-of-interest (ROIs) of brain, the proposed method partitioned...
Magnetic resonance imaging (MRI) has been successfully applied to investigate neuron pathological changes. Since the high dimension of observation data, sparse feature learning plays an important role in overcoming the challenge of high variable dimension and low sample size problem among the disease identification. In this paper, sparse Elastic Net (EN) was used to extract low dimension features...
In this paper, we design a novel knee exoskeleton. The designed exoskeleton has a 1 DOF with knee joint actuated in the sagittal plane. The exoskeleton is actuated base on Series Elastic Actuator (SEA) instead of traditonal stiff actuator. SEA is a compliant actuator, having the advantages of low output impedance, low friction, high quality force control and backdrivability. Thanks to these nice characteristics,...
WeChat is a new generation of mobile instant messaging product, which has over 800 million active accounts and support voice, video, pictures and text messages. China's Ministry of Science and Technology has applied social media to science and technology management. Rui Dong Ruan is one of the official accounts in the WeChat matrix of China's Ministry of Science and Technology. This research proposes...
To solve the problem in huge power consumption of the data centers and cloud computing, we design an extreme optical adder architecture suitable for ultra-high bit count. n-bit full adder are full implementable on a silicon platform using guided wave optics.
Channel state information (CSI) has been recently shown to be useful in performing security attacks in public WiFi environments. By analyzing how CSI is affected by the finger motions, CSI-based attacks can effectively reconstruct text-based passwords and locking patterns. This paper presents WiGuard, a novel system to protect sensitive on-screen gestures in a public place. Our approach carefully...
Pedestrian detection, as an important task in video surveillance and forensics applications, has been widely studied. However, its performance is unsatisfactory especially in the low resolution conditions. In realistic scenarios, the size of pedestrians in the images is often small, and detection can be challenging. To solve this problem, this paper proposes a novel resolution-score discriminative...
Visual feedback from the road ahead is required for steering a car. When visual feedback is limited or only partial road is visible, driver steering performance declines. To solve this problem, haptic feedback is expected to assist drivers by providing guidance torque on the steering wheel. This paper focuses on the effect of haptic guidance on driver steering performance during curve negotiation...
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