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Stock price prediction is considered as one of the most challenging and important tasks. It is so complex and uncertainly, so that it is not enough to only use financial indicators for stock price prediction. As we known, patents is not only can protect the companies technologies' development and promote the advance of the core technologies, but can be used as one of the evaluation indicators to estimate...
This paper proposed a new concept of optical counterpart of radar system. Due to the difference between wavelength of microwave and light, we can build an optical counterpart of a radar system in reduced dimensions with optical components and light in place of microwave. The radar system is equivalent to its optical counterpart in physical principle. As for a C-band radar system, the wavelength is...
In this paper, an identification scheme is proposed for electrostatically driven scanning micro-mirror. In this scheme, the first principle model of the micro-scanner is investigated firstly. Based on the analysis of the first principle model, a model structure which is more convenient for controller design is proposed. This model structure consists of linear dynamic part and backlash-like hysteresis...
In this paper, a nonlinear estimator is developed to estimate the effect of friction on the performance of an ultrasonic motor (USM). Based on the friction model of USM, a friction estimator based compensator is developed for eliminating the effect of friction existing in between the surfaces of stator and rotor of the USM. Then, a proportional plus integral (PI) control strategy with friction estimator...
Random lasers (RLs) have been extremely studied and attracted a great attention over several decades [1] owing to its unique characteristic that can be used in speckle noise suppression [2], biomedical diagnosis [3] or submicron optical lithography. Unlike conventional laser, RLs are produced by the multiple light scattering within disordering scattering material [4] that reveals the characteristics...
Scaling web applications such as e-commerce in cloud by adding or removing servers in the system is an important practice to handle workload variations, with the goal of achieving both high quality of service (QoS) and high resource efficiency. Through extensive scaling experiments of an n-tier application benchmark (RUBBoS), we have observed that scaling only hardware resources without appropriate...
Traditional fuzzy C-means clustering (FCM) algorithm has the problem of large amount of calculation and too long operation time in medical image segmentation. In the case that sample set is not ideal, it can lead to bad clustering results. Against disadvantages of this algorithm, a kind of medical segmentation algorithm is put forward based on hybrid leapfrog optimized fuzzy c-means clustering. The...
The study is based on the principles of mathematical morphology and the features of tumor cell image about unclearness and uncertainty. It adopts fast median filtering in spatial domain and classification method of statistical pattern recognition to process the image segmentation of cell images. To describe the objects to be recognized, it extracts the features and adopts neural network theory for...
We consider a hybrid eavesdropping wireless system, where the locations of the eavesdroppers are drawn from Poisson point process (PPP). The eavesdroppers work in a half-duplex mode with a certain probability to transfer from eavesdropping mode to jamming mode. Based on the stochastic geometry (SG) and the random matrix theory (RMT), we derive the analytic results for the secrecy outage probability...
This study focused on developing a hydrogen sulfide (H2S) gas microsensor using nanometal oxides of copper oxide-doped tin dioxide. Electrospinning and high-temperature calcination were adopted to fabricate a high-surface area and porous hollow nanofibrous gas sensing film. The film that served as a sensing mechanism on the heterojunction of the microsensor exhibited a high resistance change rate;...
The dispatching of labor and distribution of tasks among workers are important aspects of corporate operations. Labor dispatch refers to the dispatching of employees to meet with clients; however, dispatches commonly vary with time. This means that any analysis pertaining to labor dispatch and work distribution should also vary with time. In this study, MATLAB was used to analyze data from anonymous...
Various electromagnetic (EM) structures become more complex and often have increasing degrees of design freedom. Classical optimization methods require numerous simulation trials of different parameter combinations, which leads to a low design efficiency. To address this problem, an efficient EM structure optimization algorithm which combines differential evolution (DE) with machine learning technology...
In this paper, we present a new video-based face identification algorithm, where the target (i.e., person of interest) in the probe video is only annotated once with a face bounding box in a frame and the video may consist of multiple shots. Most video face identification techniques assume that the video is of single shot, and thus the bounding boxes of the target face can be extracted by tracking...
Cross-domain learning text classification aims to train an accurate model for a target domain by using labeled text data from a source domain with different but related data distributions. To narrow the data distribution gap between different domains, most of the previous approaches utilize the bag-of-words model to obtain latent features representation of the text. However, this kind of model loses...
This study reported an integrated microfluidic system for automating multiplex detection of allergy microarrays. Allergy has become a common disease worldwide. However, detection for allergy on microarrays requires tedious manual operation, well-trained technicians and a relatively labor-intensive process. In this study, an integrated microfluidic system combining the microfluidic techniques and the...
For many LED applications, the dimming control is required in saving the energy consumptions. However, the wide-range dimming cannot be achieved due to the minimum on-time and switching frequency at low dimming level. In this paper, a buck-type wide-range dimmable LED driver is designed and implemented. According to the different percentage of dimming, the buck converter can operate in QR mode, frequency...
The reliability of power converters has become a major design concern especially for those mission-critical industrial and aerospace applications required to operate in a harsh environment. There is a need for real-time monitoring techniques that are capable of tracking health status to give an alert signal before a disastrous system failure and furthermore make the early failure prediction due to...
Flapping flight observed in bats offers a promising model for bio-inspiration of small air vehicles because of their high maneuverability, load carrying capacity, and energy efficiency. However, the flight mechanics of bats is very complex due to the highly articulated wing skeleton and the anisotropic, internally-actuated wing membrane. As a result of these complexities, the shape of bat wings can...
A new adaptive output voltage controller for fast battery charger method is proposed in this paper. The charging power demanded is increased with larger battery capacity to shorten the charging time. To overcome the longer charging time with the constant voltage charger, the charging power may vary from high power to low power for the fast battery charger to shorten the battery charging time. In this...
As the future cellular networks tend to be randomly deployed and equipped with more antennas, we study the enhanced secrecy rate of multiple- input multiple-output (MIMO) systems with a stochastic geometry approach. To avoid intractable computational complexity and to have a deep insight into the security performance of such networks, we derive a closed-form lower bound on the ergodic secrecy rate,...
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