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.
Upper body detection is a challenging problem in practical application scenarios and shares all the difficulties of object detection. This paper focuses on the problems of multiple upper bodies detection in still images, including the diversity of appearances and a non-rigid human body. We present a new architecture for upper body detection using a Convolutional Neural Network (CNN). In this architecture,...
In this paper a novel wideband transformer-based CMOS VCO with simplified topology and digital amplitude calibration is proposed. Owing to the digital amplitude calibration, the immunity to process, temperature and voltage supply variations is improved and a considerable reduction of power consumption is observed (i.e. over 25% in normal process corner, supply voltage and temperature). Besides, the...
Interictal epileptiform spikes are the key diagnostic biomarkers for epilepsy. The clinical gold standard of spike detection is visual inspection performed by neurologists. This is a tedious, time-consuming, and expert-centered process. The development of automated spike detection systems is necessary in order to provide a faster and more reliable diagnosis of epilepsy. In this paper, we propose an...
Compressive hyperspectral imaging (CHI) has been attracting great interests recently. To reconstruct hyperspectral (HS) images precisely from very few measurements is the main issue considered in CHI field. In this paper we propose a novel and extensible CHI approach including sampling strategy and the corresponding reconstruction method. The spatial energy distribution information (SEDI) can be explored...
The noise removal and endmember unmixing are two pivotal problems for the hyperspectral image (HSI) data exploitation. Different from the traditional approach that treating these two schemes separately, the proposed coupled Denoising and Unmixing (cDeUn) model integrates them into a uniform framework. To obtain the desired denoising and unmixing performances, three issues are included. First, the...
A Mach-Zehnder and Michelson Hybrid (M2) interferometer is promoted to measure backreflection of modes at the hollow-core photonic bandgap fiber (HC-PBF) terminations. The results show that compared to the incident light intensity into the HC-PBF, the modes reflectivity is less than −80 dB at the flat termination, and it is about −90 dB for the fundamental modes.
In image-guided therapy (IGT), the coordinates of the surgical needle's tip can be calculated according to the geometric relationship between the needle's tip and the spherical markers, which are attached on the surgical needle and tracked directly by the optical trackers. Therefore, the step to determine such geometric relationship, also called calibration, is an essential component for IGT system...
Because of its high temporal resolution and safety, medical ultrasound (US) imaging technology is widely used as a guided modality in modern therapies and examinations, especially in human liver treatment. Thus, the precise motion estimation method of the moving target becomes a hot researching domain. In this paper, a new motion estimation method is proposed for liver vessel tracking using long-term...
Brain-computer interface (BCI) systems provide a new communication way for people who cannot control their most muscles. Most common BCIs are based on visual stimulation and it require good control of the user's eye movements. However, people who have lost their control over eye muscles needed BCI systems that do not rely on the visual modality. In this paper, we compared three types of BCI paradigms...
In order to improve information transfer rate, the gaze-independent Brain-computer Interfaces (BCIs) flash several stimuli at same time instead of just flashing one stimulus. Studies had reported that the performance of multi-objective gaze-independent BCIs under covert attention conditions were lower than Matrix speller BCIs under overt attention conditions. Motion visually evoked potentials (mVEPs)...
Traditional video synopsis methods model the processing into an optimization formula where relations among objects such as collision cost are utilized while entire re-calculation is introduced under each possible temporal shift. Unlike the pairwise cost optimization, we propose a low-complexity and efficient online synopsis method where each tube is processed independently. Without tubes' comparison,...
This paper presents a novel filter enhanced Injection Locking (IL) technique based ring VCO. With IL technique using low pass filter and the accordance to symmetry, a 0.6–3 GHz phase-coupled low-noise ring VCO was designed in 28nm SMIC CMOS process. The phase noise of it at 10MHz offset from the carrier at 1.5GHz is −126.5 dBc/Hz and it consumes a power of 7.3mW from the supply voltage.
Studies had reported that the performance of multi-objective gaze-independent BCIs under covert attention conditions was lower than the matrix speller BCIs under overt attention conditions. However, no research has compared the performance of multi-objective gaze-independent BCIs under covert attention conditions with under overt attention conditions, when visual angle doesn't exceed 1°. For exploration...
Correct localization of the needle is of vital importance to guarantee successful puncture. The complexity of real US data increases the difficulties. A multi-scale random sample consensus (MS-RANSAC) algorithm is proposed in this paper to locate the needle in complicated 3D US data. The algorithm uses the radius difference between needle and other tubular human tissues to extract the correct needle...
Since the pulsar is far away from the earth and the signal is weak, it is hard to detect the radiated photons of the pulsar on the ground. Thus the most effective and feasible method of signal generation is to use mathematical model to simulate it. In this paper, a signal simulated method for X-ray pulsar based on Monte Carlo is proposed, which improves the method of probability statistics and overcomes...
This paper presents a disturbance feedforward control strategy for active vibration isolation systems with internal air mount dynamics. First, a parametric model of an air mount system including a Helmholtz resonance is derived, which is an extension to the widely used massless spring-damper models for vibration isolators. Second, a self-tuning feedforward controller is proposed that fine-tunes the...
This paper presents an efficient multi-circuit optimization approach and its applications to the parameter identification of microwave filters. The approach is based on l1 norm optimization. It strives to force the modeled response to approximate measured response and at the same time minimize the difference of parameter values between different circuits. The proposed method can not only achieve an...
In the kinematic calibration of robots, an essential step is to develop an error model. Recently, the product of exponentials (POE) due to its singularity-free property has been widely used in the calibration. However, the previous error models based on POE are of linear kind. In this paper, to investigate the applicability of the liner model, a second order error model is established. Based on the...
Brain-computer interface (BCI) can help patients who lost control over most muscles but are still conscious to communicate or interact with the environment. In the offline experiment, all the subjects have to do is counting the target stimulus when they were using the visual-evoked event-related potential (ERP) based BCIs. The recorded electroencephalogram (EEG) data was used to train the classification...
Motor imagery is usually hard to be classified with a high accuracy, since the task-related electroencephalogram (EEG) responses are likely to be contaminated by some ongoing noises. Design of an efficient classifier is considerably important for the realization of a brain-computer interface (BCI) system based on motor imagery. This study introduces a Bayesian extreme learning machine (BELM) based...
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.