The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Efficient light generation from inelastic tunneling using self-assembled edge-to-edge single crystalline silver nanocubes has been demonstrated with efficiency up to ∼2 × 10−3, which brings on-chip ultrafast optical sources one step closer to reality.
In this paper, we propose a fast design procedure for the low scattering metasurface in the microwave region. Since there are numerous units with various geometric dimensions inside the metasurface aiming to generate a diffusion-like scattering pattern, it presents a large computation burden for the evaluation and optimization of the scattering behaviors of the whole metasurface. To overcome this...
Recursive projection twin support vector machine (PTSVM) and Locality preserving projection twin support vector machine (LPPTSVM) are two extensions of traditional support vector machine (SVM). However, they may lead to a weak classifier in the application where some data points may not be fully assigned to one class. In this paper, we introduce the basic idea of fuzzy membership into LPPTSVM and...
In computer vision and multimedia search, it is common to use multiple descriptions from different views to represents an object. As one of the popular multi-view learning methods, Multi-view Linear Discriminant Analysis (MLDA) was proposed to maximize discrimination in each view and correlation between two views simultaneously through combining CCA and LDA. However, MLDA does not utilize the local...
The emergence of 5G wireless communication calls for new paradigms to satisfy the individuation and diversification of users' demands. In this paper, we construct the multicast groups under the guidance of user interest and then allocate the subcarriers and power to these groups in orthogonal frequency division multiple (OFDM) networks. Specifically, in order to maximize the social utility related...
Generalized eigenvalue proximal support vector machine (GEPSVM) is regarded as a milestone in the development of the powerful SVMs. It is more suitable to solve the XOR problem than SVM, meanwhile, it is faster. However, GEPSVM and SVM do not consider the local geometrical structure information of training samples. In this paper, we propose a bounded locality preserving distance based generalized...
A wide variety of lower limb exoskeletons have been applied in the fields of load-carrying augmentation, walking assistance, and rehabilitation training. The traditional exoskeleton based on fully actuated joints can provide powerful assistance for human motion, while it is bulky requiring a large energy consumption, which limits its application. The passive and quasi-passive exoskeletons are weak...
We present an experimental enhancement of signal-to-noise ratio for arbitrary coherent states using a noise-reduced linear amplifier that profitably combines a heralded measurement-based noiseless linear amplifier and a deterministic linear amplifier. The concatenation of two amplifiers introduces the flexibility that allows one to reach the amplification with high gain for large input coherent amplitude...
We present an experimental enhancement of signal-to-noise ratio for arbitrary coherent states using a noise-reduced linear amplifier that profitably combines a heralded measurement-based noiseless linear amplifier and a deterministic linear amplifier. The concatenation of two amplifiers introduces the flexibility that allows one to reach the amplification with high gain for large input coherent amplitude...
The no-cloning theorem states that an unknown quantum state cannot be cloned exactly and deterministically. However, this limit can be circumvented by abandoning determinism and using probabilistic methods. Here, we report an experimental demonstration of probabilistic cloning of arbitrary coherent states that clearly surpasses the no-cloning limit. Our scheme is based on a hybrid linear amplifier...
This paper presents the design and control of a biomimetic knee joint for biped robots. The robotic knee joint driven by pneumatic artificial muscles is designed by imitating the structure of the human knee. It has desirable characteristics similar with human knee joint including joint compliance, changeable instantaneous center of rotation, as well as large range of joint motion. In order to model...
Most of the upper limb exoskeletons proposed in the literature are designed for rehabilitation, however, there are few developments for activities assistance of daily living. This paper presents a wearable upper limb exoskeleton for activities assistance of daily living with the feature of mobility. It provides five degrees-of-freedom (DOF) for each arm, where 3 DOF and 2 DOF are given to the shoulder...
With the third-harmonic component considered, the vector control strategy of five-phase permanent-magnet synchronous machine (PMSM) is investigated in this paper. The effect of the third-harmonic component of the air-gap flux density on the machine performance is investigated, and the implementation and applicable condition of the single-plane and dual-plane vector control methods are studied. By...
Aiming at steel surface defects recognition, this paper proposed a multi-label classifier with hyper-sphere support vector machine (HSVM-MC). Firstly, in order to describe steel surface defects well, a new set of edge distance statistical features are proposed. Then, based on twin-hypersphere support vector machine (THSVM), HSVM-MC is built by introducing binary relevance(BR) idea. This novel classifier...
Recent broadcast standards support Layered Division Multiplexing (LDM) to achieve graceful degradation as signal quality degrades at the receiver. LDM is accomplished by using different constellations within the same Radio Frequency (RF) spectrum. LDM thus enables delivering multiple service tiers in a single broadcast channel. LDM when used in conjunction with scalable source coding codecs such as...
The traditional zero moment point (ZMP) control method is not suitable for underactuated biped robots. In this article, based on the computed torque method, the virtual constraint method and feedback linearization method are introduced into robot control to develop a joint control strategy for a biped robot with flexible ankle joints. Meanwhile, the traditional spline curve planning method of ankle...
The most common problem for traditional bipedal robots walking on uneven terrain is that the contact area between the soles and ground might reduce because of rigid foot soles, which will force the pose been changed and eventually cause the robots to fall. The pneumatic stiffness-adjustable foot is designed to make the walking more adaptive on uneven terrain. This foot contains a soft sole integrating...
In the recent past, satellite TV faces fierce market competitions with cable TV, IPTV, and the increasingly prevalent Internet TV. It can be anticipated that, in order to successfully survive in the next decade, satellite TV operators will deliver a larger number of TV channels with diverse programs in enhanced video formats, such as ultra-HD and 3D, to bring viewers much richer video and audio experience...
To solve the problem that there is few invariant features, which can be extracted from both images, to be matched for large changes of view, an efficient invariant image matching approach is presented. The proposed approach consists of two main steps. In the first step, we use the multi-resolution strategy to detect maximally stable extremal regions (MSERs) and obtain the geometric transformation...
Protein complexes play a critical role in understanding the function of cell machinery. The existing protein complex detection algorithms are mostly cannot reflect the dynamics of protein complexes. In this paper, a novel algorithm named cuckoo search clustering algorithm (CSCA) is proposed to detect protein complexes in dynamic protein-protein interaction networks (DPIN) inspired by cuckoo search...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.