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In the field of video-based fire detection, traditional fire color models have poor adaptability and susceptibleness to environmental interference. As fire can be divided into fire core, inner fire and outer fire layers depending on its temperature and color, a new fire detection model based on dispersion of fire color components has been proposed by the author. In order to further reduce false alarm,...
This paper presents a new method of change point detection for rotating machinery condition monitoring, where we treat the original multidimensional signals as a composition of a set of one-dimensional (1D) time series. In operation of this method, the kurtosis is first computed from each 1D time series, and then feed to the cumulative sum (CUSUM)-type testing for dissimilarity computation. Based...
Due to the flexibility of data operations and scalability of in- memory cache, Spark has revealed the potential to become the standard distributed framework to replace Hadoop for data-intensive processing in both industry and academia. However, we observe that the built-in scheduling algorithms in Spark (i.e., FIFO and FAIR) are not optimized for the applications with multiple parallel and independent...
Detection of slow landslide movement in forested terrains has long been problematic, particularly for Cascade landslide complex in Washington, USA. Although parts of the landslide have been found reactivated, the timing and magnitude of landslide motions have not been systematically monitored. Here we apply time-series interferometric synthetic aperture radar (InSAR) strategies to map the landslide...
Tailings impoundment failures may lead to catastrophically fatal, environmental and financial consequences. However, field investigation and geotechnical analysis are limited by sparse instrumentation and high cost. Here we use time-series Interferometric Synthetic Aperture Radar (InSAR) method to map out the settlement over the entire tailings impoundment area in the vicinity of Great Salt Lake (Utah)...
Big data processing frameworks such as Hadoop have been widely adopted to process a large volume of data. A lot of prior work has focused on the allocation of resources and the execution order of jobs/tasks to improve the performance in a homogeneous cluster. In this paper, we investigate storage layer design in a heterogeneous system considering a new type of bundled jobs where the input data and...
We experimentally demonstrated all-fiber passively mode-locked vortex lasers using a broadband mode selective coupler, which can deliver femtosecond optical vortex pulses with topological charges of OAM±1,±2.
Thermal compression bonding (TCB) is becoming an increasingly important process step in the assembly of advanced components such as fine pitch flip chip packages, system-in-package products, and 3D IC's. To increase the throughput and robustness of TCB processes, it is crucial to understand and control important process parameters like time, force and temperature. However, for TCB processes it becomes...
Among the technological developments pushed by the adoption of Through Silicon Vias and 3D Stacked IC technologies, wafer thinning on a temporary carrier has become a critical element in device processing over the past years. First generation of adhesive materials enabled the integration of the first devices at the expense of capping the thermal budget. Hence new generation materials are being explored...
Distributed burst buffers are a promising storage architecture for handling I/O workloads for exascale computing. Their aggregate storage bandwidth grows linearly with system node count. However, although scientific applications can achieve scalable write bandwidth by having each process write to its node-local burst buffer, metadata challenges remain formidable, especially for files shared across...
Nowadays, spontaneous reporting systems (SRS) have been widely established to collect adverse drug events for ADR detection and analysis, e.g., the FDA Adverse Event Reporting System (FAERS). The SRS data are provided to the researchers, even open to the public, to foster the research of ADR detection and analysis. Normally, SRS data contains personal information and some sensitive value such as indication...
With the continuous development of GNSS applications, in order to satisfy high precision, high integrity demands for different users, especially aviation users, many countries are striving to develop Satellite-Based Augmentation Systems (SBAS). To take full advantage of increasing satellite navigation systems, SBAS is gradually designed from single frequency to dual-frequency, which is an important...
Big data processing frameworks such as Hadoop [1] are now widely adopted, however the security issues in large scale systems have not been well studied yet. Unlike prior work on data privacy and protection, this paper investigates a potential attack from a compromised internal node against the overall system performance. We develop an effective attack launched from the compromised node that can significantly...
In this paper, we aim to develop an efficient speculation framework for a heterogeneous cluster. Speculation is a common mechanism that identifies ‘slow’ node in a cluster and starts redundant tasks on other nodes to guarantee the reliability. We consider MapReduce/Hadoop as a representative computing platform, and our general goal is to accurately and quickly identify the straggler nodes during the...
Processing of bump-less or embedded microbumps is introduced in this paper as an approach which enables scaling microbumps for below 10um pitches. Landing wafer is standard damascene process and in top wafer bumps are embedded in a soft backed polymer. Later during thermo-compression bonding this polymer is cured to bond two chips together. Process flow and results of TC bonding is discussed in this...
Compared with pseudo-noise (PN) sequences, chirp signals have obvious advantages in acquisition time and tracking performance in the field of telemetry, track, and command (TT&C) with the large Doppler tolerance. In this paper, an effective tracking loop for chirp spread spectrum communication is proposed, which can realize chirp signals modulated by binary phase shift keying (Chirp-BPSK) coherent...
Burst buffers are becoming an indispensable hardware resource on large-scale supercomputers to buffer the bursty I/O from scientific applications. However, there is a lack of software support for burst buffers to be efficiently shared by applications within a batch-submitted job and recycled across different batch jobs. In addition, burst buffers need to cope with a variety of challenging I/O patterns...
This paper examines the key aspects for quality improvement and throughput enhancement of thermal compression bonding (TCB) process using dry film laminated wafer-level underfill (WLUF) material. The WLUF material must have good compatibility with pre-assembly and assembly process steps. And all the process steps after and including WLUF lamination have to be co-optimized to ensure the integrity of...
This paper compares and discusses four techniques for model order reduction based on compressed sensing (CS), less relevant basis removal (LRBR), principal component analysis (PCA) and partial least squares (PLS). CS and PCA have already been used for reducing the order of power amplifier (PA) behavioral models for digital predistortion (DPD) purposes. While PLS, despite being popular in some signal...
In this paper,the wettability, quality of joint formation and electrical yield of daisy chains in 3D stacks when using Cobalt and Nickel as UBM with different finish layers such as immersion Au, ELD NiB, ELD Cu and SAM are investigated. The performance of the stacks are characterized by cross-section SEM images, EDS analysis and electrical resistance measurement of the daisy chains.
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