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In the literature, a number of methods have been proposed for semi-supervised learning. Recently, graph-based methods of semi-supervised learning have become popular because of their capability of handling large amounts of unlabeled data. However, the existing graph based semi-supervised learning algorithms do not optimize the process of selecting better labeled data. We have developed a new selective...
Gait analysis aims to study human motion and its potential association with chronic diseases, such as Parkinson's disease and hemiplegic paralysis, by extracting various gait characteristics. It has been a challenging problem to accurately extract temporal and spatial gait parameter and to explore the relationship between gait signal and a disease of interest. In this study, we introduce a gait sensing...
An accurate approach to characterize the sheet impedance of thin conductive ink in rectangular waveguide is reported. This method allows retrieval of the sheet impedance without prior characterization of the supporting dielectric substrate. The ink sample is positioned between two waveguide flanges, introducing a discontinuous gap. The effect of the physical discontinuity can be removed by an additional...
Both magnetic field and electric field can be used for transferring power wirelessly. But the up-to-date researches on wireless power transfer have been either inductive power transfer (magnetic field) or capacitive power transfer (electric field). An improved power transfer mode called hybrid wireless power transfer (HWPT) is proposed and evaluated in this paper. Power is transferred from primary...
Low-temperature silver sintering technology, which has been proven to be a promising die-attach solution, was extended to bonding large substrates. Strong bonding strengths for substrates greater than 25 mm × 50 mm were achieved by sintering a nanosilver paste at temperatures below 270°C with less than 5 MPa pressure. To characterize thermal performance of the substrate-attach interface, we applied...
The static wireless charging of electric vehicle has many disadvantages, such as long charging time, short mileage, and bulky battery pack. In order to study the primary winding of the parallel electric vehicle dynamic wireless charging, a double primary, single receiving winding wireless power transmission system model, it is found that the mutual inductance of the system will have a significant...
Single-carrier frequency-domain equalization (SC-FDE) occupies a concise transmitting structure and a low peak-to-average power ratio (PAPR). These advantages are conducive to the miniaturization of the satellite systems and increase the robustness to the non-linear distortion of amplifiers. Nowadays, satellite communication systems set out to work at Ka or higher frequency bands to support the high...
A stochastic electromagnetic-circuit modeling workflow is presented for the computer-aided analysis of electromagnetic interference effects in multi-scale, shielded environments. The multi-scale complexity of the environment is tackled through the selective relaxation of the full electromagnetic coupling between different sub-domains when appropriate. The Stochastic Collocation technique is relied...
With the emergence and development of electronic currency, especially bitcoin turning out, it provided a new way of thinking for the realization of the super-sovereign currency [1]. In this situation, what is the evolution trend of the optimal monetary model? What is the construction of electronic super-sovereign currency? What is the new development of the traditional super-sovereign currency theories?...
A novel structure of overmode circular waveguide bend is investigated, which is used to transmitter circular waveguide TM01 mode with high power-handing capacity, high transmission efficiency and small bend radius. Metal plates and metal rod are used to change the type of waveguide. In the bend of the structure, circular waveguide is split into four sector waveguides, and the phase difference between...
Robot-assisted minimally invasive surgery has gained popularity in recent years, such as Zeus, da-Vinci and MicroHand A, which can provide surgeons with enhanced visual feedback and dexterity of instruments. Master manipulator is an important component of the surgical robot system, whose posture recognition accuracy, operation dexterity and force feedback feature will have profound influence to the...
Robot-assisted minimally invasive surgery becomes more and more popular, but the lack of force sensing for surgical robots restricts the development of this technology. The traditional way to obtain tool-tissue interaction force is to integrate sensors at the end of surgical instruments, which is not well adopted in practical due to high-cost and sterilization problems. It is necessary to explore...
In many laser processing applications, galvanometer scanners are integrated to a larger system that creates external disturbances to the actual laser-material interaction. To reject such disturbance with feedback-based control schemes, the sampling of the output needs to be fast enough to capture all major frequency components of the disturbance. In some applications, however, the sensor's sampling...
Scene text detection is an important research problem in computer vision community. It has great application value in many fields. Inspired by Faster-RCNN which is a popular method for object detection, we consider to apply the Regional Proposal Network (RPN) method for scene text detection because text can be regarded as the common object. The core of RPN is to detect different sizes of objects with...
The ever increasing of display resolution on mobile devices raises high demand for GPU rendering details. However, the challenge of poor hardware support but fine-grained rendering details often makes user unsatisfied especially in calling for high frame rate scenarios, e.g., game. To resolve such issue, we propose BUTTERFLY, a novel system which collaboratively utilizes mobile GPUs to process high-quality...
Representational state transfer (REST), which is a style of software architecture with simplicity and flexity, has been widely adopted in web services. To solve challenges like multidemensional API validation requirements, call sequencing and organization of test cases, data dependency between test cases, this thesis proposes a REST API testing model with an expressive description language based on...
In this paper we propose HyFog, a novel hybrid task offloading framework in fog computing, where device users have the flexibility of choosing among multiple options for task executions, including local mobile execution, Device-to-Device (D2D) offloaded execution, and Cloud offloaded execution. We further develop a novel three-layer graph matching algorithm for efficient hybrid task offloading among...
In fast sampling-based stochastic numerical techniques, Smolyak-based sparse grids are used to construct interpolation of the system output in random domain. The accuracy and convergence of sparse grid interpolations are evaluated by calculating the residual of the interpolation outputs compared with actual output values at grid nodes of higher levels. The residual is used as a criteria for adaptive...
The generation of frequency-domain macromodels for passive interconnects such as power delivery networks can be computationally expensive. In this work, macromodels are constructed through the Latency Insertion Method in the time-domain before conversion to the frequency domain via the Fast Fourier transform. Results show an improvement in the simulation time as well as good accuracy over the frequency...
In recent years, online games develop rapidly and mobile games led to explosive growth. With the emergence and increasing maturity of VR (virtual reality) technology, the phenomenon of virtual personality in the online games is becoming more and more obvious. This study starts from the perspective of the characteristics of online games and explores the self-construction mechanism of virtual personality...
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