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Computing with memory, which stores function responses of some input patterns into lookup tables offline and retrieves their values when encountering similar patterns (instead of performing online calculation), is a promising energy-efficient computing technique. No doubt to say, with a given lookup table size, the efficiency of this technique depends on which function responses are stored and how...
Reading comprehension in foreign language learning is a complex process with many underlying cognitive components. SQ4R and Student Team Achievement Division (STAD) are teaching strategies helping students make sense of unfamiliar informational text step by step and cooperatively. This study investigated the effectiveness of explicit, incidental, and intentional learning conditions on reading comprehension...
This paper considers system identification based on mixed binary-valued and precise measurements with noises. The optimal Quasi-Convex Combination Estimator (QCCE) is constructed by combining the identification results of binary-valued and precise subsystems. The convergence properties are theoretically analysed in terms of strong consistency and asymptotical efficiency. Compared with the maximum...
In this paper, we consider the problem of attitude control for flexible satellites based on the quaternion model with unknown bounded external disturbance. A sliding mode control law is designed to attenuate the effects of the disturbance for the closed-loop system. In addition, an observer-based sliding mode control law is proposed when the flexible modal variables of the flexible satellites are...
To address one of key problems for optical communication links, physical layer-security (PLS), Bessel modes are employed in proposed-PLS-scheme, significantly outperforming conventional schemes in secrecy capacity. Simulations indicate that atmospheric turbulence effects can help in improving security under beam-splitting attack.
Crowd motion segmentation problem is a hot issue in crowd behavior analysis and action recognition. A number of methods have been proposed to tackle this problem. Among the existing methods, most used flow dynamics to model the crowd motion, with only a few taking the collective property into consideration. In this paper, we proposed a crowd motion segmentation approach based on streak flow and crowd...
In this letter, a microwave annealing (MWA) method for Ohmic contact applied to InAlN/GaN high electron mobility transistor (HEMT) is the first time. The feature of MWA method is low operating temperature (450°C∼550°C). By using this technique, MWA-HEMT can achieve a low Ohmic contact resistance and smoother Ohmic contact surface than traditional rapid thermal annealing (RTA). The situation of Indium...
Many of today's machine learning (ML) systems are composed by an array of primitive learning modules (PLMs). The heavy use of PLMs significantly simplifies and expedites the system development cycles. However, as most PLMs are contributed and maintained by third parties, their lack of standardization or regulation entails profound security implications. In this paper, for the first time, we demonstrate...
Acoustic ranging based indoor positioning solutions have the advantage of higher ranging accuracy and better compatibility with commercial-off-the-self consumer devices. However, similar to other time-domain based approaches using Time-of-Arrival and Time-Difference-of-Arrival, they suffer from performance degradation in presence of multi-path propagation and low received signal-to-noise ratio (SNR)...
This work focuses on how to provide the best virtual desktop technology, virtualization performance and hardware in the computer classroom. There are using the three popular virtualization technologies in the same environment to establish the same conditions, pure performance comparison: VMware Horizon, Citrix XenDesktop, and Microsoft VDI. Test software used to the current popular software, system...
In this paper, we propose an adaptive software-defined optical sensor network (SDOSN) architecture that is capable to host programmable sensors ranging from several thousands to several millions. Sensing process is of low cost, but highly accurate and capable of closely approaching the optical channel capacity. The proposed SDOSN architecture is interoperable with existing optical networks infrastructure...
In recent years, many ride-sharing systems have been widely used for helping people travel around. These systems generate a lot of data every day, e.g., the trajectories and the transactions. But as far as we know, there is no such monitoring system or platform for ride sharing systems to manage and observe this set of data in an effective way. Hence, in this paper, we illustrate YoRoad, a general...
Relation extraction is very useful for many applications and has attracted much attention. The dominant prior methods for relation extraction were supervised methods which are relation-specific and limited by the availability of annotated training data. In this paper, we propose a method using hierarchical clustering to extract unbounded relations without relying on training data. The relation among...
A reduced-rank (RR) space-time adaptive processing (STAP) method for simultaneous clutter plus jamming suppression in airborne multiple-input multiple-output (MIMO) radar is proposed. Firstly, the system parameters of MIMO radar STAP are utilized to construct the clutter subspace offline. Next, an auxiliary channel allocated with the matched filter orthogonal to all the transmit waveforms is utilized...
For the research and development of Cyber-Physical System (CPS), the security problems have gradually emerged. This paper explores the design of security for CPS. We focus on a kind of common attacks that destroys the critical system parameters to paralyze the system. Timed Automata are used for formalizing the behaviors of CPS, since the requirements on time are necessary for CPS. The modeling of...
Crowdsourced ranking algorithms ask the crowd to compare the objects and infer the full ranking based on the crowdsourced pairwise comparison results. In this paper, we consider the setting in which the task requester is equipped with a limited budget that can afford only a small number of pairwise comparisons. To make the problem more complicated, the crowd may return noisy comparison answers. We...
In this paper, we consider the problem of multiparty deep learning (MDL), wherein autonomous data owners jointly train accurate deep neural network models without sharing their private data. We design, implement, and evaluate ∝MDL, a new MDL paradigm built upon three primitives: asynchronous optimization, lightweight homomorphic encryption, and threshold secret sharing. Compared with prior work, ∝MDL...
The through-silicon-via (TSV) technology is one of the most effective approaches to fulfill the form factor, profile, performance, and 3D interconnect demand of next generation handheld and wearable electronics. This paper introduces two structures of TSV LAST technology, standard flow and short flow. The standard flow TSV LAST structure shows better warpage control performance. The short flow TSV...
MIMO-less space division multiplexing with elliptical core optical fibers is reviewed. Real-time, bi-directional, and Tb-scale data rates with direct detection over the spatial modes/cores of km-scale, few mode/multicore elliptical core optical fibers are demonstrated.
Since the 1990s, fatigue driving has been one of the two main causes of traffic accidents. In order to reduce traffic accidents, many models are applied in the detection of the driver's fatigue. This paper introduces a new model for detecting fatigue driving. This model employs the Hilbert-Huang transforms and the Random Forest Classifier algorithm for the analysis of the three factors, namely, skin...
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