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Stock market prediction is a challenging task, for inadequate information and myriad uncertainties. However, the psychological expectation of traders is rare to change. As a result, history tends to repeat itself. In this paper, we design and implement a stock prediction system using empirical sequences analysis. The system predicts the trend of a target stock by finding out and evaluating the trends...
IEC 61850 GOOSE (Generic Object-Oriented Substation Event) communication has been implemented in many substation automation applications, such as automatic transfer scheme, bus protection and power management system. With many advantages introduced by GOOSE, it also brings challenges to protection and control engineers. IEC 61850 standard comprises advanced communication and computer science technology...
We report a novel microfluidic-based high-throughput electrorotation flow cytometer for label-free single-cell analysis in continuous flows. This is realized by a heterogeneously integrated microfluidic channel with electrodes for high precision 3D single stream focusing and electrorotation of cells in high speed flows. This device provides 4 orders of magnitude higher throughput than prior electrorotation...
The purpose of this study was to develop a microelectromechanical systems compatible process (e.g., etching, lithography, sputtering) for a polyimide (PI) substrate. A thin-film transistor (TFT) array on the flexible substrate was demonstrated by fully etching aluminum (Al), indium gallium zinc oxide (IGZO), and aluminum oxide (Al2O3). Moreover, during the sputtering process, the surface roughnesses...
Estimating human age from brain MR images is useful for early detection of Alzheimer's disease. In this paper we propose a fast and accurate method based on deep learning to predict subject's age. Compared with previous methods, our algorithm achieves comparable accuracy using fewer input images. With our GPU version program, the time needed to make a prediction is 20 ms. We evaluate our methods using...
This article aims at finding the risk factors for hepatitis B virus (HBV) reactivation after the precise radiotherapy in patients with primary liver cancer (PLC). We use sequential forward selection and sequential backward selection to extract features which would be combined into an optimal feature subset, and then establish Bayesian and support vector machine (SVM) classification model. We use sequential...
The massive online open course (MOOC) revolution offers opportunities for learning analytics regarding the diversity in learning activities of MOOCs. In MOOCs, video lectures represent the principal learning resource, and learners spend most of their time engaged in self-paced, independent learning. Therefore, MOOCs present an innovative form of video-based learning. How to improve this learning environment...
Automatic photo cropping is an important tool for improving visual quality of digital photos without resorting to tedious manual selection. Traditionally, photo cropping is accomplished by determining the best proposal window through visual quality assessment or saliency detection. In essence, the performance of an image cropper highly depends on the ability to correctly rank a number of visually...
Threshold logic attracts a lot of attention recently due to nanotechnology advances on its physical implementation. Hence, many previous works have focused on the synthesis of threshold logic networks from the Boolean functions. In this paper, we propose a tool, In&Out, which optimizes a threshold logic network from the physical implementation perspective. In&Out consists of two techniques:...
IoT (Internet of Things) has attracted a lot of attention recently. IoT devices need to report their data or status to base stations at various frequencies. The IoT communications observed by a base station normally exhibit the following characteristics: (1) massively connected, (2) lightly loaded per packet, and (3) periodical or at least mostly predictable. The current design principals of communication...
Heterogeneous systems that contain multiple types of resources, such as CPUs and GPUs, are becoming increasingly popular thanks to the potential of achieving high performance and energy efficiency. In such systems, the problem of data mapping and communication for time-sensitive applications while reducing power and energy consumption is more challenging, since applications may have varied data management...
Modern processors can greatly increase energy efficiency through techniques such as dynamic voltage and frequency scaling. Traditional predictive schemes are limited in their effectiveness by their inability to plan for the performance and energy characteristics of upcoming phases. To date, there has been little research exploring more proactive techniques that account for expected future behavior...
The challenges to push computing to exaflop levels are difficult given desired targets for memory capacity, memory bandwidth, power efficiency, reliability, and cost. This paper presents a vision for an architecture that can be used to construct exascale systems. We describe a conceptual Exascale Node Architecture (ENA), which is the computational building block for an exascale supercomputer. The...
This paper presents a novel design for switched reluctance motors characterized by the reduction of torque ripple and windage loss. An asymmetric rotor skew structure is proposed to decrease the torque ripple and investigated by both 2D and 3D finite element analysis (FEA) simulations. Moreover, the prototype is constructed by additive manufacturing (namely 3D printing); thus, the performance of the...
The T-S fuzzy current regulation of permanent magnet synchronous generator (PMSG) is designed and implemented in this paper. The system configuration and dynamic model are first introduced. Then the design of T-S fuzzy current regulation is demonstrated. Moreover, the stability analysis of the proposed PMSG drive system is accomplished. All the control algorithms are realized by the microcontroller...
The switched reluctance type integrated starter generator (SRISG) has the potential to be applied in hybrid electric vehicles for its robust structure, and it does not feature a magnet. In this paper, a new double-gap SRISG design that can provide higher power is presented. Characteristics, such as torque ripple, charging ability, and efficiency, are investigated by both 2D and 3D finite element analysis...
This paper presents a 2.4GHz 10-inch tablet computer antenna design on IPD process. The antenna radiation efficiency and miniaturized area are optimized by metal region and clean region. The metal region comprises μm gap between the open radiating strip and the short grounded strip. The miniature 10mm × 10mm antenna area can provide 1.25dBi peak gain and 80% radiation efficiency for WLAN 2.4GHz tablet...
The ever-increasing design complexity is driving the need of fast and accurate macro-modeling algorithms to accelerate the hierarchical timing. We introduce LibAbs, an effective macro-modeling algorithm that efficiently supports high accuracy, high compression rate, and multi-threading. LibAbs applies tree-based graph reduction techniques to reduce the model size with comparable accuracy values to...
Cross-strapping is widely used in redundant systems to improve reliability. Reliability models developed for redundant systems typically assume independence among units, meaning that a failure of any unit would not affect others. In reality, however, this assumption may not be valid, especially when units are not designed properly to prevent failure propagation to external units. When such a failure...
Millimeter-wave bands have become next-generation spectrum candidates for future 5G cellular applications. The ultra-broad bandwidth in millimeter-wave carrier provides fiber-optic grade wireless links. The required bandwidth in 5G will significantly increased from traditional 100MHz in 4G-LTE to 1GHz or 10GHz in 5G communications. This paper will review the current status of ultra-broadband TRx development...
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