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This paper proposes a direct approach based on Principal Curves for power quality disturbance detection. The main advantages of the method lie in its low computational burden in the operational phase, its capability to detect disturbances when power frequency is time-varying and its good performance to signals exhibiting high noise levels. Simulation and experimental results show that the proposed...
Several accelerated test methods exist in order to study the failures mechanisms of the high power IGBT modules like temperature cycling test or power cycles based on DC current pulses. The main drawback is that the test conditions do not represent the real performance and stress conditions of the device in real application. The hypothesis is that ageing of power modules closer to real environment...
Acoustic Emission (AE) testing is a common practice in the monitoring of aerospace structures. Multi-receiving transducers and multi-triggering acquisition modality are used in the continuous monitoring of AE to overcome the problems of signal loss and to reduce the storage memory. Nevertheless, the stored samples are related to both AE signal and noise. A further reduction of storage memory is proposed...
We present a novel fast method based on computer vision to identify microbe The proposed method is simple but absolutely effective It combines approximate parallel light source and industrial camera, to automatically accomplish the bacteria identification and monitor the growing states of bacteria during the progress of a drug sensitive test. Based on this method, the color information and turbidity...
The Dark Matter Particle Explorer (DAMPE) is a scientific satellite designed to search for the clue of dark matter particles for a mission period of at least 3 years. Two types of readout ASICs, named VA160 and VATA160, are adopted for the front-end electronics (FEE) to meet the design specification. Total lot screening of VA160 and VATA160 is utilized to assist in achieving levels of quality and...
In this paper, a CMOS monolithic digitized light detector for light monitoring applications is newly proposed. The proposed chip is attractive due to the fact that analog processing circuits and light sensor are integrated robustly and compactly. The output signal of the proposed chip is a pulse stream, it could be easily sent over a wide range of transmission media, such as PSN, radio, optical, IR,...
As a novel vital sign monitor, we have developed wireless ECG monitoring system with human body communication (HBC) technique. However, it was hard to ensure communication reliability because transmission channel is noisy and unstable. In order to solve the problem, we utilize spread spectrum (SS), which is known as robust communication technique even through poor transmission channel. In previous...
A Wide IO DRAM controller chip with Through Silicon Via (TSV) technology is implemented. Test circuitry for prebonding TSV tests are embedded in between the fine pitch TSVs. In order to reduce Vmin degradation induced by 512 DQs simultaneously switching noise, we introduce a package-board impedance optimization method utilizing a full digital noise monitor. We also develop a 3D stacked flip chip assembly...
In the 51 million invasive surgeries performed annually in the United States, electrocauterization devices are utilized to coagulate blood and reduce bleeding. Today the gold standard for these devices passes high radio frequency currents through the body, generating high heat energy to dehydrate and vaporize cells. This technique presents risks of electrocution and severe burns to the patient, as...
We propose a method for robustly detecting and extracting repeated signal components within a source signal. The method is based on the recently introduced shift autocorrelation (shift-ACF) which outperforms classical ACF in signal detection if a signal component is repeated more than once. In this paper, we extend shift-ACF to analyze the spectral structure of repeating signal components by using...
Dynamic networks are commonly found in the current web age. In scenarios like social networks and social media, dynamic networks are noisy, are of large-scale and evolve quickly. In this paper, we focus on the cluster evolution tracking problem on highly dynamic networks, with clear application to event evolution tracking. There are several previous works on data stream clustering using a node-by-node...
Participatory sensing, which appropriates wearable devices such as mobile phones to enable ad-hoc, person-centric mobile sensing networks, has the potential of delivering datasets with high spatio-temporal granularity. We argue that to obtain such datasets the concept of a participatory campaign, a recipe for gathering data to answer a particular concern, is essential, and that technological support...
Data usage has grown immensely in today's data sound and information poor technology age. Automated data collection tools and processes have led to the massive size of data stored in data marts and data warehouses, but a considerable amount of this data goes unutilized for information discovery. Data analytics in such enormous data has become increasingly challenging due to the growing variety, velocity,...
The growth of high speed computer networks and that of Internet, in particular, has explored means of new business, scientific, entertainment, and social opportunities. Digital media offers several distinct advantages over analog media, such as high quality, easy editing, high fidelity copying etc. The ease by which a digital information can be duplicated and distributed has led to the need for effective...
This paper presents an approach to improve the performance of Directional Weighted Median (DWM) Filter based restoration of images corrupted with fixed valued impulse noise. The proposed approach involves minimum absolute difference criteria to distinguish among the edge and non-edge pixels. The identified corrupted pixels are then replaced by weighted median or mean value computed within the local...
An on-chip waveform monitoring technique embodies in-stack evaluation of three-dimensional integrated circuits (3D IC) regarding physical connections using through silicon vias (TSV) and electronic characteristics of signal transmission as well as noise propagation. On-chip generation of reference voltage steps and sampling timings reduces the complexity of analog signal routing in a chip stack and...
Battery mass and power consumption of wearable system must be reduced because the key factors affecting wearable system usability are miniaturization and weight reduction. This report describes a wearable biosignal monitoring system using normally-off technologies to minimize the power consumption. Especially we focused on daily-life monitoring and electrocardiograph (ECG) processor. Our system employs...
Needs for a new technologies of infrastructure systems arose, following the development of next generation EMU(Electric Multiple Unit) train with maximum speed over 400km/h. For high-speed operation tests of the new EMU, a high-speed railway infrastructure test-bed was constructed in a 28km long section of the Honam High-speed Railway. Diverse sensors and monitoring system was installed for continuous...
Bridge cable is an important part of the cable-stayed bridge, and reliable methods are necessary to ensure its safety. This paper proposes an algorithm which realizes real-time monitoring the health of bridge cable by the b-value analysis and acoustic emission technique. The algorithm can eliminate the impulse noise and the continuous noise. Discrete wavelet transform decomposes the AE signal, and...
The class imbalance problem is a well-known classification challenge in machine learning that has vexed researchers for over a decade. Under-representation of one or more of the target classes (minority class(es)) as compared to others (majority class(es)) can restrict the application of conventional classifiers directly on the data. In addition, emerging challenges such as overlapping classes, make...
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