power classifier

Power Classifier | Mass Security Labelling | Boldon James

Classify & label large sets of data with our Power Classifier, which applies relevant metadata labels to any file held in Windows file store.

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Data Classification Solutions & Software | Boldon James

Leading data classification solutions that provide classification security for Microsoft email, files and documents across desktop and mobile devices. ... Learn How You Can Help Your Employees Protect Your Sensitive Data With Boldon James Classifier. Classifying Your Data ... Boldon James Power Classifier

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Big Data Small Footprint: The Design of A Low-Power Classifier for ...

Big Data Small Footprint: The Design of A Low-Power. Classifier for Detecting Transportation Modes. Meng-Chieh Yu ∗. HTC, Taiwan. Mengchieh Yu@htc.com. Tong Yu ∗. National Taiwan University r01922141@csie.ntu.edu.tw. Shao-Chen Wang. HTC, Taiwan. Daniel.SC Wang@htc.com. Chih-Jen Lin. National Taiwan...

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data classification - Infosecurity Europe

loss prevention solutions from Digital Guardian,. Forcepoint, McAfee and Symantec. BOLDON JAMES CLASSIFIER. The foundation of effective data protection. Integrates with: MESSAGES. FILES. Power Classifier for Files. Mass Security Labelling for Documents and Files. File Classifier. File Classification - Security.

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An ultra low power feature extraction and classification system for ...

Abstract: In this paper we explore the use of a variety of machine learning algorithms for designing a reliable and low-power, multi-channel EEG feature extractor and classifier for predicting seizures from electroencephalographic data (scalp EEG). Different machine learning classifiers including k-nearest neighbor, support...

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Real-time system for automatic classification of power quality ...

This paper presents an automatic system, implemented in LabVIEW, for real-time classification of electrical disturbances. Its basic structure can be listed.

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Expert System for Power Quality Disturbance Classifier - IEEE Xplore

Abstract: Identification and classification of voltage and current disturbances in power systems are important tasks in the monitoring and protection of power system. Most power quality disturbances are non-stationary and transitory and the detection and classification have proved to be very demanding. The concept of...

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Big Data, Small Footprint: The Design of a Low-Power Classifier for ...

Jun 20, 2014 ... Big Data, Small Footprint: The Design of a Low-Power Classifier for Detecting Transportation Modes.

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Learning a Physical Activity Classifier for a Low-power Embedded ...

Nov 7, 2017 ... Abstract: This article presents and evaluates a novel algorithm for learning a physical activity classifier for a low-power embedded wrist-located device. The overall system is designed for real-time execution and it is implemented in the commercial low-power System-on-Chips nRF51 and nRF52. Results...

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Static Security classification and Evaluation classifier design in ...

Photovoltaic (PV) has been a competitive renewable-energy source for the power generation mix in the world. With the presence of solar PV technology, this paper proposes C4.5 approach for static security evaluation and classification (SSE). This paper proposes PV generators connected to the grid when bilateral energy...

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Electrostatic Classifier Model 3080 Optional ... - TSI Incorporated

Why Positive? The default polarity for the high voltage (HV) power supply in the Model 3080 Electrostatic Classifier is negative. This results in a measurement of the positively-charged particles using the Long or Nano. Differential Mobility Analyzer (DMA), which is historically how most differential mobility analysis has.

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Boosting power for clinical trials using classifiers based on multiple ...

Neurobiol Aging. 2010 Aug;31(8):1429-42. doi: 10.1016/j.neurobiolaging.2010.04.022. Epub 2010 Jun 11. Boosting power for clinical trials using classifiers based on multiple biomarkers. Kohannim O(1), Hua X, Hibar DP, Lee S, Chou YY, Toga AW, Jack CR Jr, Weiner MW, Thompson PM; Alzheimer's Disease...

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Gravitational air classifier - Xinhai

Ease in adjustability to obtain required cut point; Ambient fugitive dust removal; Reasonable power requirements to operate system; Abrasion resistant plate or ceramic lining available for highly abrasive applications; Stationary and transportable systems available. Gravitational air classifier...

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random forests based multiple classifier system for power-line scene ...

Aug 29, 2011 ... KEY WORDS: LIDAR, Classification, Corridor Mapping, Random Forests, Multiple Classifier System, Power-line. ABSTRACT: The increasing use of electrical energy has yielded more necessities of electric utilities including transmission lines and electric pylons which require a real-time risk monitoring to...

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Assessing and Comparing Classifier Performance with ROC Curves ...

Nov 26, 2014 ... ROC curves also give us the ability to assess the performance of the classifier over its entire operating range. The most widely-used measure is the area under the curve (AUC). As you can see from Figure 2, the AUC for a classifier with no power, essentially random guessing, is 0.5, because the curve...

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Power Mean SVM for Large Scale Visual Classification

Power Mean SVM for Large Scale Visual Classification. Jianxin Wu. School of Computer Engineering. Nanyang Technological University, Singapore jxwu@ntu.edu.sg. Abstract. PmSVM (Power Mean SVM), a classifier that trains sig- nificantly faster than state-of-the-art linear and non-linear. SVM solvers in large scale visual...

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Power SVM: Generalization with Exemplar Classification Uncertainty

The human vision tends to recognize more variants of a distinctive exemplar. This observation suggests that dis- criminative power of training exemplars could be utilized for shaping a desirable global classifier that generalizes maximally from a few exemplars. We propose to derive clas- sification uncertainty for each...

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The Power of Instance Classifier - Sparx Systems Enterprise ...

Jun 9, 2014 ... This tutorial is about a strange corner of UML - and of EA - which you may have noticed, but perhaps not used. But it's one which has a surprising pow...

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AmplifyReach Natural Language Classifier - Power your Apps

Automate your text classification to understand, classify and ingest natural language content. Use pre-built or build your own (No code!).

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Power Load Event Detection and Classification Based on Edge ...

Oct 18, 2012 ... This paper focuses on developing an automatic power load event detection and appliance classification based on machine learning. In power load event detection, the paper presents a new transient detection algorithm. By turn-on and turn-off transient waveforms analysis, it can accurately detect the edge...

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A smart pre-classifier to reduce power consumption of TCAMs for ...

Dec 8, 2017 ... A smart pre-classifier to reduce power consumption of TCAMs for multi-dimensional packet classification SIGCOMM 2012 Yadi Ma Suman Banerjee Ternary Content-A...

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Optimized Complex Power Quality Classifier Using One vs. Rest ...

Nowadays, power quality issues are becoming a significant research topic because of the increasing inclusion of very sensitive devices and considerable renewable energy sources. In general, most of the previous power quality classification techniques focused on single power quality events and did not include an optimal...

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The Power of Profiling: How automated classification aids data ... - IBM

Jan 19, 2018 ... Intelligent, flexible classification capabilities within IBM Watson Data Platform help users govern, prepare, integrate and analyze data quickly Instantly classify and understand the contents of each data set Profile data and identify outliers to facilitate data preparation Automatically apply appropriate policies...

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On-Line Approach for Loss Reduction in Electric Power Distribution ...

Jun 21, 2002 ... As an on-line approach to loss reduction in electric power distribution networks, this paper relies on Learning Classifier Systems to continually proposed network configurations close to the one associated with minimum energy losses, in the case of timevarying profiles of energy requirement. In order to...

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Power Classifier for Files – Boldon James

Bisher war die Klassifizierung bereits vorhandener Daten zeitaufwendig und kostspielig. Mit Power Classifier for Files lassen sich nun jedoch alle im Windows-Dateispeicher vorhandenen Daten entsprechend Ihren Vorgaben für die Datenklassifizierung sowie Ihren Sicherheitsrichtlinien schnell, einfach und einheitlich...

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Dynamic Classifier | Loesche

Integrated in the mill. Since 1996 Loesche has been using dynamic classifiers of the LSKS series (LOESCHE bar cage classifier) in virtually all mills. The LSKS classifier has proven itself as an excellent separation machine with a high selectivity for mill product. With the aim of increasing the energy saving, productivity and...

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Dynamic classifiers improve pulverizer performance and more

Jul 15, 2007 ... Keeping coal-fired steam plants running efficiently and cleanly is a daily struggle. An article in the February 2007 issue of POWER explained that one way to improve the combustion and emissions performance of a plant is to optimize the performance of its coal pulverizers. By adding a dynamic classifier to...

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PPS Air Classifier Mills - Kemutec

Model, Main Drive Power, Classifier Drive Power, Approx. Airflow. Lab CMT, 1.5 hp, 1 hp, 175 cfm. 1 CMT, 5.5 hp, 1 hp, 500 cfm. 2 CMT, 10 hp, 2 hp, 700 cfm. 3 CMT, 15 hp, 3 hp, 1000 cfm. 4 CMT, 30 hp, 5.5 hp, 2500 cfm. 5 CMT, 40 hp, 7.5 hp, 3000 cfm. 6 CMT, 60 hp, 10 hp, 5000 cfm. 7 CMT, 75 hp, 15 hp, 6000 cfm.

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Comparative Study of Band-Power Extraction ... - HAL-Inserm

Jul 18, 2011 ... Comparative Study of Band-Power Extraction. Techniques for Motor Imagery Classification. Nicolas Brodu. LTSI, University of Rennes 1. Campus de Beaulieu, Bât 22. 35042 Rennes Cedex - France. Email: nicolas.brodu@univ-rennes1.fr. Fabien Lotte. Institute for Infocomm Research (I2R).

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Air Classifiers | Bradley Pulverizer Company

CLASSIFIER TYPES. To provide desired particle size distribution, Bradley mills can be equipped with different types of classifier, to meet customers' application demands. Static classifiers design is rugged and simple, without rotating parts and power consumption. The inverted cone type is used for coarse grinding, while...

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An Investigation into the Source of Power for AIRS, an ... - CiteSeerX

conclude that the chief source of classification power of AIRS must lie in its replacement and maintenance of its memory cell population. INTRODUCTION. Late in 2001, a new classifier was introduced, based on principles from the discipline of Artificial Immune Systems. The classifier was AIRS (Artificial Immune Recognition.

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Decision Trees and Random Forests for Classification and ...

Aug 13, 2017 ... However despite their power against larger and more complex datasets, they are extremely hard to interpret and neural nets can take many iterations and hyperparameter adjustments before a good result is had. As well, one of the biggest advantages of using Decision Trees and Random Forests is the...

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An Ultra Low Power Feature Extraction and Classification System for ...

Abstract—In this paper we explore the use of a variety of machine learning algorithms for designing a reliable and low- power, multi-channel EEG feature extractor and classifier for predicting seizures from electroencephalographic data (scalp. EEG). Different machine learning classifiers including k-nearest neighbor...

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High-Efficiency Separators/Classifiers for Finish Grinding | Industrial ...

In high-efficiency classifiers, the material is more cleanly separated, thus reducing over-grinding. High efficiency classifiers or separators have had the greatest impact on improved product quality and reducing electricity consumption. Grinding capacity can increase by up to 25%. Capacity inreases in the range of 10% to...

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A Framework for the Automated Generation of Power-Efficient ...

Nov 9, 2007 ... Abstract. This paper presents a framework for power-efficient de- tection in embedded sensor systems. State detection is struc- tured as a decision tree classifier that dynamically orders the activation and adjusts the sampling rate of the sensors. (termed groggy wakeup), such that only the data necessary.

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Classification of power quality disturbances using quantum neural ...

Mar 18, 2011 ... A novel classifier based on Quantum Neural Network (QNN) and Dempster-Shafer (DS) evidence theory to recognize the types of power quality (PQ) disturbances is presented. According to the Discrete Wavelet Transform (DWT), Wavelet Packet Transform (WPT) and S-transform (ST) algorithms, three...

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Dashboard data classification - Power BI | Microsoft Docs

Aug 10, 2017 ... Learn about dashboard data classification, including how an Admin should set it up and how dashboard owners can change the classification.

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FCM Classifier Mill | Sturtevant Products - Sturtevant, Inc.

Sturtevant FCM Classifier Mills are designed to provide size reduction with an integrated classifier to insure the desired product is achieved. The mill's operating principle is mechanical impact size reduction which minimizes the operating energy costs. The internal air flow then leads the material to the integrated air classifier...

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A Low-Power Processor With Configurable Embedded Machine ...

LEE AND VERMA: LOW-POWER PROCESSOR WITH CONFIGURABLE EMBEDDED MACHINE-LEARNING ACCELERATORS. 1627. Fig. 2. (a) SVM framework in an EEG-based seizure-detection example. The trainer generates a classifier model from previous observations. Real-time detection occurs in two steps: feature...

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Design of a Low-Power On-Body ECG Classifier for ... - ePrints Soton

Abstract—In this paper we first present a detailed study on the trade-off between the computational complexity (directly related to the power consumption) and classification accuracy for a number of classifiers for classifying normal and abnormal ECGs. In our analysis we consider the spectral energy of the constituent.

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