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It is envisioned that future 5G wireless links will extensively employ multiple mm-Wave spectra (e.g., 28GHz, 37GHz, 39GHz, and 70GHz). A major bottom neck for silicon-based mm-Wave electronics lies in the generation of mm-Wave signals with high energy efficiency, high linearity, and large modulation bandwidth, all of which are indispensable to support Gbit/s complex modulations with large peak-to-average-power...
Multi-degree of freedom manipulators have become a hotspot in the field of robotics because of many advantages. In this paper, a 5-DOF manipulator was taken as the object of study. The modal analysis on it was carried out by methods of test and finite element analysis. A model updating method based on sensitivity analysis was put forward, and the final finite element model was established by iterative...
Due to rich characteristics and functionalities, PDF format has become the de facto standard for the electronic document exchange. As vulnerabilities in the major PDF viewers have been disclosed, a number of methods have been proposed to tame the increasing PDF threats. However, one recent evasion exploit is found to evade most of detections and renders all of the major static methods void. Moreover,...
We demonstrate a monolithically integrated Si optical single-sideband modulator that contains a ring-assisted Mach-Zehnder modulator, two MMI optical couplers, and an electrical quadrature hybrid coupler. The modulator successfully produces 30-GHz single sideband with 15-dB suppression of the undesired sideband.
Cardiac tissue engineering aims to reconstruct functional construction with resembling native tissue to replace damaged myocardium. To mimic native myocardium, cells with phenotypes of mature cardiomyocytes and scaffolds with elastic, electro-conductive, highly porous, and biodegradable plays two major roles. So far, although a number of cell types have been evaluated in the reports of cardiac repair,...
In this paper, a distributed Dual-Ring Tree scatternet formation is proposed to generate a reliable topology for Bluetooth networks. To mitigate the formation complexity, each root distributively connects with its downstream roots with local topology instead of global nodes information, instructs them to connect together, and generates a desired dual-ring subnet via distributed computation with three...
In this paper, two hybrid multi-hop/single-hop opportunistic transmission strategies for lifetime extension of WSNs are proposed. To prolong the network lifetime, a systematic model that contains a network distribution block, a routing algorithm block, a traffic pattern block and an optimal policy block is presented to determine the optimal transmission probability of each node. With the global routing...
In this paper, we put forward an improved Android malware detection method. When the Android malware is in the execution, the method can capture various features from Android malware and then apply machine learning technology to classify the android applications into different categories. Also the method we proposed is improved combining feature correlation and Bayes classification model. Experiment...
3D hand pose estimation is a hot research topic in recent years. It's been widely used in many advanced applications for virtual reality and human-computer interaction, since it provides a natural interface for communication between human and cyberspace. Despite the fast development of this field, it is still a difficult task due to the various challenges. In this paper, we aim to build a 3D hand...
Blood urea nitrogen (BUN) is an indicator of dehydration in patients at risk of developing acute stroke-in-evolution, and BUN level detection in such patients can help prevent such a diagnosis. This study developed the key module components of and techniques employed by a BUN analyzer that is suitable for use during home care. Based on suggestions by health professionals, an analyzer was developed,...
A CMOS digital-bits-in/-out Terahertz (THz) nano-radio with 0.57mm2 chip area is presented in this paper. The THz operation and bidirectional transmitter/receiver (TX/RX) architecture lead to radio ultra-miniaturization for Internet-of-Things (IoT) and fîeld-deployable sensor applications. The bidirectional THz radio is configured as a harmonic oscillator in the TX mode or as a super-harmonic super-regenerative...
Frequent Itemset Mining is one of the most investigated fields of data mining. It is expensive to mine frequent itemsets for a large scale data set. Especially when some data is added into the data set, it is still time-consuming from the scratch to re-compute the complete data set to update the frequent itemsets of the data set. Aiming to improve the performance of frequent itemset mining for large...
Millimeter-wave/THz hyperspectral imaging has numerous applications in security, non-destructive evaluation, material characterization, and medical diagnostics [1]. Unlike single-frequency imaging, hyperspectral imaging operates over a wide frequency range and offers spectroscopic information on each imaging pixel. This combines mm-wave/THz high-resolution imaging with spectroscopy and improves detection...
A major challenge for low-cost silicon-based mm-wave wireless links, e.g., for the 5G communication, is to provide large transmitter (Tx) output power (Pout) with high energy efficiency and linearity from a limited supply voltage, so that the high path loss and limited link budget at mm-wave can be compensated. Power combining is often required for high-power mm-wave Tx. The existing power-combining...
This study has demonstrated how to apply datamining technics, Neural Networks (NNs), to estimate the power consumption (kilowatt hour per move, kwh/move) of individual process tool sets in a semiconductor factory, and to analyze the relationships between kwh/move and 19 individual input factors, which included “lot size”, “process time”, “uptime”, “usable machine”, “Q-time constrain”, “sampling rate”...
Semiconductor wafer fabrication companies rely on continuously improving cycle time for agile manufacturing to maintain their competitive advantages. This study has illustrated how to apply data mining techniques, Back-Propagation Neural Networks (BPNN), to optimize the allocation of production resources in semiconductor wafer fabrication. The results in the empirical study have demonstrated significant...
We propose a novel framework which integrates human hand detection and pose estimation into one single pipeline. Unlike most of previous works which only focus on the pose estimation part subject to some strong assumptions or relying on a weak detector to detect human hands, we employ a deep learning architecture to complete both aforementioned tasks. By letting three different neural networks share...
As a framework for data fusion, it is a source of information through a combination of appropriate methods to get a more satisfactory result, mainly detection, estimation of multiple sources of data, and the combination treatment. Because the measurement data from multiple sources always have some degree of uncertainty and inconsistency, using multi-source data fusion algorithm for the measurement...
Ultra-thick and ultra-thin Silicon PIN detectors are specially applied in high particles detections. The corresponding leakage current is investigated. The ultra-thick and ultra-thin gated diodes structures based on high resistivity silicon substrates are fabricated and tested to analyses the reverse leakage current for silicon PIN detectors application. It is concluded that the contribution of the...
A new complementary metal-oxide-semiconductor (CMOS) compatible hybrid CMOS image sensor (CIS) are proposed to enhance pixel fill factor, without increasing fabrication cost and process complexity. In this work, the perovskites(PVSK) is first time proposed to be integrated as pixel photon sensitive layer of CIS supplied with low voltage bias. The thin PVSK layer is vertically deposited on the top...
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