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In embedded avionic system, time and space partitioning is introduced to achieve stable and secure performance. Tasks must meet the certain time constraints when executed. Proper scheduling scheme is needed to ensure that the hardware is adequately used and all time and function requirements are met. However, existing partition aware scheduling works for no more than 2 partitions only. In this paper,...
Nowadays, systems for various smart city industries such as city power plants, public transportation and integrated modular avionics are becoming increasingly complicated, with most of components being embedded and geologically distributed. In order to ensure the availability of target systems, prognostic and health management develops as an important system to assess the current health state and...
Cloud computing is increasingly becoming a significant solution for providing scalable computing resources via Internet [1]. However, as the increasing of data size in cloud computing applications and precision requirement in some special scenarios, bandwidth and precision are highly valued in floating-point associated applications, optimizing existing floating-point arithmetic is a significant way...
There are billions of devices in smart grid nowadays. For every data source, it produces thousands of data records every day. Classical relational databases are malfunctioned when dealing with these large-scale data sets. Powerful big data platform is needed to process the information in private clouds of smart grid. HBase is a promising platform to solve these problems. However, finding an effective...
We present the first results using broadband dual-comb spectroscopy in a laser-induced plasma. Preliminary results identifying 85Rb and 87Rb isotopes are shown using this technique.
Compressed sensing (CS) based sparse channel estimation which sufficiently exploits the inherent sparsity of channels can achieve desirable performance compared with conventional channel estimation algorithms. However, in channel estimation common recovery algorithms, such as orthogonal matching pursuit (OMP), uses pilots inserted in one individual orthogonal frequency division multiplex (OFDM) symbol...
Microbubbles have been widely studied as ultrasound contrast agents and drug/gene carriers. However, their short lifetime and micron-sized would hamper their applications. Mesoporous silica nanoparticles (MSNPs) with large surface areas and pore volume allow for high drug payload and controllable release feature. Our previous studies showed that superhydrophobic MSNPs can adsorb surface bubbles, which...
The active liquid cooling system is urgently required for heat dissipation of high-power electronics. However, the key part of the system, micro-pump, is still challenged by the bearing failure problem caused by the mechanical friction. We designed a hydro-dynamically levitated centrifugal micro-pump, providing a 1.0 L/min flow rate and a 45 KPa pressure head at 20000 rpm with the size as small as...
For an Unmanned Aerial Vehicle (UAV) performing a mission, any failure of the flight control system can result in fatal disaster. Therefore, reliability requirement for UAV flight control system becomes increasingly important and then the redundancy technology is considered as a solution to enhance system reliability. This paper studies the designs of reliability, system architecture, and redundancy...
An Erbium-Ytterbium co-doped random fiber laser (EYRFL) operating at 1550 nm is demonstrated for the first time. The laser cavity consists of a 5-m-long Er/Yb co-doped fiber and a 2-km-long single-mode fiber that provides random distributed feedback. We experimentally achieve 2.14 W of 1550 nm random lasing at 9.62W of 976 nm LD pump power. The laser exhibits a linear output with the slope efficiency...
The age of big data is coming. Many data processing and statistical analysis technologies of big data are developing now. They widely impact our live, for examples: society, science, medical industry, military, education, government and business, etc. By using statistical analysis technologies of big data, many valuable information are produced and those results can be used to predict the trend of...
In this paper, we consider that consumers have memory about their previous purchases, and thus consumers switching behavior is associated with the gap of consumer perception. In such an environment, we investigate the interaction of the periodically pricing strategies between a brand manufacturer and a generic manufacturer, who sell homogeneous consumable products in the market, in a two-period supply...
Elementary schools are considered as the important stage for the enlightenment of multiplication. The establishment of the language of multiple and multiplication concepts is the key point of students mathematical learning in this stage. Combining scaffolding with rapidly developing technologies to assist students in achieving higher-level development is the primary task for teachers. Aiming at students...
In this study, students behavioral patterns in an educational game were investigated by conducting a digital game-based learning activity in an elementary school science course. Moreover, the behavioral patterns of the highachievement and low-achievement students were compared to explore the possible educational gaming behavioral patterns affecting the students learning achievements. It was found...
This study develops a big data-based fraud detection approach for financial statements of business groups to efficiently improve fraud detection efficiency accuracy, and thereby reducing investment losses and risks and enhancing investment decision-making benefits for investors and creditors. This objective is achieved by the following: (i) designing the big data-based fraud detection process for...
In this paper, angular velocity control of permanent magnet dc motor is addressed by using an output feedback discrete-time model predictive control (MPC) algorithm. The operational constraints are imposed on the control input. The control system is designed based on a topology of the dc-dc buck power converter-dc motor system in the presence of unknown, exogenous, time-varying load torque disturbances...
A compact and planar power divider with a wide passband and broad stopband is proposed. By using the coupled transmission lines for two output ports, the slope around the passband skirt will increase and the passband's bandwidth can be extended. Moreover, by inserting the open stubs at the input port and between two coupled transmission lines, a wide stopband can be obtained. An exemplary design of...
This paper presents Smart Home concepts for Internet of Things (IoT) technologies that will make life at home more convenient. In this paper, we first describe the overall design of a low-cost Smart Refrigerator built with Raspberry Pi. Next, we explain two sensors controlling each camera, which are hooked up to our Rasberry Pi board. We further show how the user can use the Graphical User Interface...
The worldwide first 100MHz dynamic oxide semiconductor RAM (DOSRAM) is successfully demonstrated using a new high-mobility crystalline In-Ga-Zn-O (IGZO) material. The new IGZO exhibits around two times carrier mobility of conventional IGZO, while still achieving an extremely low off-state leakage (Ioff) at ∼10−21A (zA) level. Attributed to DOSRAM performance improvement, 100MHz normally-off (Noff)...
This paper proposes an iterative soft-decision decoding algorithm for Reed-Solomon (RS) codes. The proposed decoding algorithm combines the concepts of adapting the parity-check matrix and informed dynamic scheduling decoding. The parity-check matrix is re-arranged before each iteration, where the systematic part is mapped to the least reliable bits, consequently reducing their influence on the other...
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