
The data set with 20,936 data records and 525 attributes concerns Chinese healthcare and insurance.
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The data set with 20,936 data records and 525 attributes concerns Chinese healthcare and insurance.
This dataset refers to the case study performed in the paper "A Real Options Market-Based Approach to Increase Penetration of Renewables", submitted to IEEE Transactions on Smart Grid. The file contains the Midcontinent ISO data used for the day-ahead prices, as well as the wind data from NREL's Wind Integration National Dataset Toolkit which was used to estimate the renewable productions in the case study.
A Hybrid Approach to Service Recommendation Based on Network Representation Learning
A Hybrid Approach to Service Recommendation Based on Network Representation Learning
The ZIP file Data_Models_Programs includes two folders:
1. WindSpeedData folder incluses the wind speed data of 10 min interval measured from two acutal wind farms and the programs for establishing a wind speed combination model (WSCM).
2. WindFarmModels folder includes 4 data files (in the Matfile subfolder), 6 detailed or aggregated models of a actual wind farm, and 16 program files for establishing the aggregated model of the wind farm via three methods.
With a large number of all-controlled switching devices of converters in MMC-HVDC system and the frequency-dependent characteristics of line impedance in the electromagnetic transient model of HVDC transmission line, the real-time simulation platform calls for subtle time step and high calculation accuracy. The calculation parameters are prestored in advance so that they can be obtained by looking up tables in the calculation process, which reduces the computational load of simulation calculation of MMC-HVDC system.
Archival bundle of District Information System for Education (DISE) Delhi primary to upper-primary level schools in academic session 2012-2013. DISE is a school-level dataset consisting of government-recognized schools. It is a joint initiative of the Government of India, UNICEF and the National University of Education and Planning (NUPEA).
This dataset corresponds to a paper published in IEE Transactions on Power Systems entitled: "High-Speed 2x25kV Traction System Model and Solver for Extensive Network Simulations"
This dataset includes the head part of VCH images of human corpse head and a 3-D voxelized head model created by the images. Tissue type and optical properties for 850nm incident light is included in a single .mci file.
The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps The ground truth annotation was done in consultation with experts from Singapore Meteorological Services. All images were captured in Singapore using WAHRSIS, a calibrated ground-based whole sky imager, over a period of 12 months from January to December 2016. All image patches are 500x500 pixels in size, and were selected considering several factors such as time of the image capture, cloud coverage, and seasonal variations.
Data and codes for journal paper "MmWave Vehicular Beam Training with Situational Awareness Using Machine Learning" submitted to IEEE Access.
The code assumes Python 3.
This data-set was used for the localization of an emitter based on Time Difference of Arrival (TDoA).
The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem.
An extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.
The paper describes different rainfall observing techniques available in the City of Genoa (Italy): the Ligurian regional tipping-bucket rain gauge (TBRG) network and the Monte Settepani long range weather radar (WR) operated by the Ligurian Regional Environmental Protection Agency (ARPAL) and Smart Rainfall System (SRS), a network of microwave sensors for satellite down-links developed by the University of Genoa and Artys srl.
A new dataset named Sanitation is released to evaluate the HAR algorithm’s performance and benefit the researchers in this field, which collects seven types of daily work activity data from sanitation workers.We provide two .csv files, one is the raw dataset “sanitation.csv”, the other is the pre-processed features dataset which is suitable for machine learning based human activity recognition methods.
This is the images and the image masks used in the paper "Z. Petrou and Y. Tian, Prediction of Sea Ice Motion with Convolutional Long Short-Term Memory Networks,IEEE Transactions on Geoscience and Remote Sensing."
이 그룹은 음향 장비 분야의 음향 증폭기 회로에 실리콘 트랜지스터를 사용할 때 오디오 관점에서 출력 신호의 음향 특성을 향상시키는 것을 목표로합니다.
음향 증폭기 회로에서 실리콘 트랜지스터를 사용할 때 사운드 출력은 차갑고 거칠고 선명하며 풍부하지 않은 것으로 알려져 있습니다. 따라서 오디오 애호가들은 여전히 진공관을 사용하는 증폭기를 좋아합니다. 오디오 애호가는 소리를들을 수있는 능력 때문에 음질을 판단하는 뛰어난 능력을 가지고 있습니다.
그래서이 그룹은 실리콘 트랜지스터의 불충분 한 사운드 특성을 제거하고 튜브의 사운드로 개선하는 방법을 보여줍니다.
이 개선 방법을 적용하여이 부분을 만드는 과정을 논의하고 마지막으로 실제 부분으로 만들 것입니다.
한국어로 쓰여진 원본이 포함되어 있습니다.
여러 파일 중 가장 큰 개정 번호 만 사용하십시오.
나머지는 비교를위한 데이터입니다.
Matlab Simulink was used to develop an emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 and a series of faults were modeled along with normal data across the expected range of operation to create a labelled dataset with approximately 27,500 cases for training and testing boiler fault classification models.
An emulator for the Viessmann Vitorond 200 Gas Fired Boiler VD2 Series 380 dataset was created in Matlab/Simulink based on the Simscape boiler model.
A new approach for fabricating spot size converters (SSCs), using self-written tapered pillars, is reported. The method uses a UV-curable resin and mask transfer technique in order to fabricate pillar structures. These structures are designed to couple from Si-wire waveguides to silica single mode fiber (SMF).The technique improvises upon classic single shot fabrication, previously reported using an aperture-limited self-written waveguide (SWW) approach. Design optimization of the SSC was inferred through using a beam propagation method (BPM).
The pressure sensors are represented by black circles, which are located in the three zones of each foot. For the left foot: S1 and S2 cover the forefoot area. S3, S4, and S5 the midfoot area. S6 and S7 the rearfoot or heel area. Similarly, for the right foot: S8 and S9 represent the forefoot area. S10, S11, S12 the midfoot area. S13 and S14 the heel area. The values of each sensor are read by the analog inputs of an Arduino mega 2560.
Includes sentiment-specific distributed word representations that have been trained on 10M Arabic tweets that are distantly supervised using positive and negative keywords. As described in the paper [1], we follow Tang’s [2] three neural architectures, which encode the sentiment of a word in addition to its semantic and syntactic representation.
Specifications Table
Subject area | Natural Language Processing |
More specific subject area |
We present the first approach to automatically detect and track a needle in an endoscopic ultrasound (EUS) video. EUS is a fundamental medical procedure that is used extensively for biopsying targets in the upper gastro-intestinal tract. The approach enables various new applications for advancing EUS, including automatic EUS workflow analysis, automatic report generation, video summarization, technical skills assessment and quality indicator automation. Our approach does not require annotations of needles in videos, which is a laborious and demanding task.
We propose a new concept audio system, It is an audio system with slots for inserting function units in one main body. It is a group for producing the first product for standardization. (Network audio player, DDC, DAC, PHONO equalizer, PRE Amplifier, POWER Amplifier, POWER SUPPLY, etc.) The internal main board has slots for inserting the unit, and the corresponding unit can be installed and replaced with another compatible unit. Function units are made in card format and can be upgraded or replaced with other branded products in the future.
This paper proposes a multiple-receiver inductive power transfer platform which is capable of controlling the load voltages to satisfy individually rated values and stabilizing the load voltages against the load variations. In the proposed charging platform, multiple transmitting resonators are employed to support a voltage-driven source resonator in manipulating the energy flows toward individual receivers. This structure also helps the voltage source induce constant currents into the transmitting resonators, and therefore, is able to deliver load-indepe