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This paper presents a new simplified 4-port deembedding method using one thru dummy structure. In the proposed method, the probe pads and feeding lines, are acquired and decomposed from measurement of a thru dummy. The method does not rely on an equivalent-circuit model. Thus good accuracy can be obtained due to no parameter extraction for a model. Besides, the feeding structure has fewer geometrical...
This paper presents the design, fabrication, and characterization of the first millimeter-wave Graphene-based varactor on flexible substrates. The varactor achieves quality factor better than 10 up to 25 GHz with variation of 5–10% for a bending radius down to 5 mm with pronounced varactor behavior measured up to at least 70 GHz. To prove the substrate independence of the proposed varactor, we fabricated...
A low-profile series-fed microstrip antenna and its 8× conformai array are presented. In this paper, the performances of the conformal array are excellent. Its obtained bandwidth is ranging from 0.94f0 to 1.06f0 with the active voltage standing wave ratio (AVSWR) less than 2.3, where the f0 is center frequency of the target band. Moreover, this proposed microstrip array can realize frequency scanning...
For robotic vehicles to navigate safely and efficiently in pedestrian-rich environments, it is important to model subtle human behaviors and navigation rules (e.g., passing on the right). However, while instinctive to humans, socially compliant navigation is still difficult to quantify due to the stochasticity in people's behaviors. Existing works are mostly focused on using feature-matching techniques...
This paper presents a new method of recognition of lidar cloud point images based on convolutional neural network. This experiment uses 3D CAD ModelNet, and generates 3D point cloud data by simulating the scanning process of lidar. The data is divided into cells, and the distance is represented by gray values. Finally, the data is stored as grayscale images. Changing the number of cells dividing point...
A sheet beam traveling wave tube is designed, producing 231W at 94 GHz with a corresponding gain of 33.6 dB. A uniform longitudinal magnetic field of 0.9 T was used in the CST PIC simulation. The attenuator material is with a moderate loss tangent of 0.35 and a relative permittivity of 6.4. To get a stable operation of the tube, the reflectors for the input/output (I/O) structure are covered by attenuators...
A Flywheel Energy Storage System (FESS) can solve the problem of randomness and fluctuation of new energy power generation. The flywheel energy storage as a DC power supply, the primary guarantee is to maintain the stability of output voltage in discharge mode, which will cause the variation of motor internal magnetic field. In this paper, taking a flywheel energy storage permanent magnet motor as...
“Hot” dispersion equations of axisymmetric TM mode of a coaxial double-grating slow-wave structure (SWS) with an annular beam is obtained. Utilizing field matching method, in which the higher order terms of the field in the grooves are considered, the solution for the small signal gain is given. The beam is regarded as a moving anisotropic medium with an effective permittivity constant.
Safe and reliable of inverter is directly related to the normal operation of permanent magnet synchronous motor drive system. Therefore, in the paper, taking a 12.5kW Permanent Magnet Synchronous Motor (PMSM) as the research object, two-dimensional transient electromagnetic field calculation model based on vector control strategy is established, and the corresponding assumptions and boundary conditions...
In this paper, we demonstrate a single-piece tunable corner cube retroreflector fabricated with 3D printing and origami. A process to fabricate optical components by 3D printing has also been developed.
This study provides a new concept of dual clutch transmission (DCT) system, which using one-way clutches and synchronizers compose a multi-speed mechanism. In this paper, the gear shifting processes of a general DCT system are discussed, and the mathematic equations and dynamic models of the conventional DCT system and new DCT system are established. Through a series of dynamic simulation analyses,...
Deep learning is used for learning better features through constructing a model of machine learning, which contains a lot of hidden layers. At present, deep learning is widely used in face recognition. But faces of different ages, facial expressions and other changes will affect the result of face recognition. The human ear is not affected by different ages, facial expressions, makeups and so on,...
Facial attractiveness computation is a challenging task because of the lack of labeled data and discriminative features. In this paper, an end-to-end label distribution learning (LDL) framework with deep convolutional neural network (CNN) and geometric features is proposed to meet these two challenges. Different from the previous work, we recast this task as an LDL problem. Compared with the single...
This study aims to improve students' argumentative capability and enable them to produce better argumentative essays. The "digital argument-map writing system" was designed for this study to help students build a complete structure of argumentation step by step so they can produce better argumentative essays with the structure as a thinking frame. We conducted an experiment to the students...
This study conducted the user research in a Taiwanese senior apartment. The important insights of user needs were identified by examining the views and service experiences from residents and service staff. The research result can be the basis of service innovation and design for senior apartments.
Duckietown is an open, inexpensive and flexible platform for autonomy education and research. The platform comprises small autonomous vehicles (“Duckiebots”) built from off-the-shelf components, and cities (“Duckietowns”) complete with roads, signage, traffic lights, obstacles, and citizens (duckies) in need of transportation. The Duckietown platform offers a wide range of functionalities at a low...
Finding feasible, collision-free paths for multiagent systems can be challenging, particularly in non-communicating scenarios where each agent's intent (e.g. goal) is unobservable to the others. In particular, finding time efficient paths often requires anticipating interaction with neighboring agents, the process of which can be computationally prohibitive. This work presents a decentralized multiagent...
One of the most challenging issues in stereoscopic image quality assessment (IQA) is how to effectively model the binocular behaviors of the human visual system (HVS). The latter has a great impact on the perceptual stereoscopic 3D (S3D) quality. This paper presents a stereoscopic IQA metric based on the properties of the HVS. Instead of measuring the quality of the left and the right views separately,...
Many robotic applications require repeated, on-demand motion planning in mapped environments. In addition, the presence of other dynamic agents, such as people, often induces frequent, dynamic changes in the environment. Having a potential function that encodes pairwise cost-to-go can be useful for improving the computational speed of finding feasible paths, and for guiding local searches around dynamic...
On the basis of explaining the principles of wavelet transform, neural network, and wavelet neural network, the paper examines two methods of face recognition: one is based on neural network, the other is based on wavelet neural network. The paper also offers the features and differences based on algorithmic simulation. The result of the stimulation reveals that face recognition using wavelet neural...
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