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Due to the rapid increase in the number of users owning location-based devices, there is a considerable amount of geo-tagged data available on social media websites, such as Twitter and Facebook. This geo-tagged data can be useful in a variety of ways to extract location-specific information, as well as to comprehend the variation of information across different geographical regions. A lot of techniques...
Algorithm research of task scheduling is one of the key techniques in grid computing. This paper firstly describes an DAG task scheduling model used in grid computing environment, then discusses generational scheduling (GS) and communication inclusion generational scheduling (CIGS) algorithms. Finally, an improved CIGS algorithm is proposed to use in grid computing environment, and it has been proved...
Videos taken in the wild sometimes contain unexpected rain streaks, which brings difficulty in subsequent video processing tasks. Rain streak removal in a video (RSRV) is thus an important issue and has been attracting much attention in computer vision. Different from previous RSRV methods formulating rain streaks as a deterministic message, this work first encodes the rains in a stochastic manner,...
We present a cost-efficient GHz-wide arbitrary-shaped microwave photonic filter based on stimulated Brillouin scattering in fiber. By employing a directly-modulated laser with well-designed current waveform and feedback adjustment, the filter shape has been arbitrarily controlled with high precision.
Domain adaption (DA) allows machine learning methods trained on data sampled from one distribution to be applied to data sampled from another. It is thus of great practical importance to the application of such methods. Despite the fact that tensor representations are widely used in Computer Vision to capture multi-linear relationships that affect the data, most existing DA methods are applicable...
Nowadays, molecular computing and artificial intelligence have drawn intensive attentions from both academia and industry. Therefore, people begin to seek possible combination of these two promising areas. In this paper, with the aid of chemical reaction networks (CRNs), a design methodology of realizing the key block of fast convolution unit (FCU) in convolutional neural networks (CNNs) is proposed...
It is prevalently known that Markov chains have been successfully applied to many fields such as digital communications, queuing theory, and finance. However, when the system becomes massive and complex, the computational load will become too heavy to be handled by conventional approaches. To address this issue, molecular computation, which is inherently parallel, has been considered in this paper...
Semiconductor Laser diodes (LD) employing quantum dot (QD) active regions have attracted attention due to the theoretical predictions: low threshold current density and low temperature sensitivity originated from the delta-function-like density of states and small active volume [1]. However, while high performance devices have been demonstrated, the realization of all the predicted advantages has...
For the first time we observe that SBS gain can be enhanced by 1.5 dB with multilayer MoS2 on fibre end. The SBS gain enhancement is observed within 200-MHz range, indicating the broadband Brillouin scattering characteristics of MoS2.
With its thickness decreasing down to 60 μm, the (K0.45Na0.55)0.96Li0.04NbO3 (KNLN) single crystals maintains superior piezoelectric constant (d33 = 675 pC N−1). In combination with a 200 μm core multimode fiber, the successful fabrication of a tiny intravascular photoacoustic probe with a 1 mm outside diameter is achieved. The intravascular photoacoustic imaging of the atherosclerotic lesion of a...
Intravascular photoacoustic (IVPA) imaging, which combines the advantages of high ultrasonic resolution and strong optical absorption contrast, seems to be an alternative method to detect lipid pool and atherosclerotic lesion. A highly sensitive miniaturized ultrasound transducer is required for receiving of intravascular photoacoustic signals. As the core part of the transducer, lead-based piezoelectric...
A physical model of revealing the charge carrier transport characteristics based on first-principles calculations has been proposed for oxide-based RRAM. Based on the proposed model, we have investigated the influence of different kinds of dopants on transport characteristics in HfO2-based RRAM. The present method will be contributed to clearly understand the dopant effect, and then tune the RRAM...
An optimal predictive voltage control based on the deadbeat control scheme is proposed in this paper, which can eliminate the error caused the control delay and can be implemented without transforming to dq rotating coordinate system. So this method can simplify the design process of the control system. Additionally, it simplifies the implementation of switching states based on the principle of space...
There has been little research on using Cognitive load theory (CLT) to guide the design and evaluation mHealth applications. In this presentation, we describe: 1) the historical development of CLT in instructional design, 2) the implications of cognitive load (CL) to principles of designing mHealth applications, and 3) a review of cognitive load measurements in educational studies.
We presented a 32-channel silicon hybrid demultiplexer fabricated with CMOS technology. Double-etched mode converter and wide arrayed waveguide are used to improve AWG performances while the counter-tapered coupler is optimized for broadband mode multiplexing.
This paper presents a machine learning method for event-driven stock prediction, using L1 regularized Logistic regression model. It studies the stock price movement after listed companies make announcements. The model uses specific events extracted from these announcements and combine with financial indicators of listed companies, macro indicators, and technical indicators as dependent variables....
A high-quality nanolayer graphene (NLG) coated hollow core fiber (HCF) platform has been demonstrated for accurate monitoring of refractive index (RI) changes so far mainly operate in liquids but not in air. The NLG with high index is deposited on the outer surface of the HCF, and an enhanced anti-resonant reflecting guidance is formed, which induces sharp periodic lossy dips in the transmission spectrum...
This paper presents a disturbing recovery approach for lower extremity exoskeletons with passive ankle joints, which particularly works when an external disturbance is applied on the standing exoskeleton. Firstly, by analyzing the mechanical structure of lower extremity exoskeletons during its stance phase, the mathematical model is established using state-space equations. Then, on the basis of LQR...
A novel parametric model of the stiifened shell is developed by Python language with Abaqus in this paper. As an effective analysis method in the optimal design, explicit finite element method (FEM) is used to design and optimize the skin thickness and stiffener size of Stiffened Shells. The optimization objectives and constraints are mainly the minimum mass subject to the structural performance and...
With the development of multi-energy convertors, different systems are coupled with each other both in power flow and market behaviors. Analysis of multi-energy transaction patterns and market equilibrium is one of the heated topics. Game theory provides us a powerful tool to settle such problems. This paper proposes a game model for transaction in integrated multi-energy networks such as a gas-heat-power...
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