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OntoSNAQA is the name that combines Social Network Analysis (SNA), People and Questionnaires (Question and Answers - QA).

This ontology will be updated in this project of github and in the url http://www.jabenitez.com/ontologies/OntoSNAQA.owl.

It's an ontology that combines three different domains:
- People
- Questionnaires
- Social Network Analysis terms

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This dataset contains laser scans of PCBs as explained in "Fault Diagnosis in Microelectronics Attachment via Deep Learning Analysis of 3D Laser Scans". On the left and right image, we have a closer look at one circuit
module of a PCB , before and after die attachment. Notice the different types of glue annotated as A, B, C, D and E. On each circuit there are four glue deposits on each type where approximately the same quantity of glue has been placed. As explained

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This data set is composed by samples of load signature of electric devices acquired on a non-intrusively form. The test-bench was performed using four identical fluorescent lamps, four identical slots and four identical switches. Identical term means the same technical specifications (nominal voltage, power, isolation voltage, among others). The sensors are connected to the power supply in order to measure the electrical variations when appliances are turned on/off. We have 16 possible network configurations with 4 appliances, in which one, two, three or four appliances can be turned on.

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The data contains both CST data and Experiment data which used at the paper:'Validation of a three-dimensional DBIM-TwIST algorithm for microwave tomography'.

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These datasets contain the whitened data of the COST2100 channel model and consist of eight XLSX files namely: Indo_BI_LOS_Sing_white, Indo_B2_LOS_Sing_white, SemiUr_B1_LOS_Mult_white, SemiUr_B1_LOS_Sing_white, SemiUr_B1_NLOS_Sing_white, SemiUr_B2_LOS_Mult_white, SemiUr_B2_LOS_Sing_white, and SemiUr_B2_NLOS_Sing_white. Each XLSX file consists of 30 sheets. All the sheets contain different number of rows but the same number of columns.

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The reliability of In-Si-O (ISO) thin-film transistors (TFT) to bias voltage-stress and photo-stress is studied. The ISO TFTs were developed with a fully photolithographic process, with a maximum temperature of 200 C. The TFTs typically showed a mobility of 5.03 cm$^2$/Vs, a threshold voltage, $V_{th}$, of -0.16 V and a subthreshold swing of 312 mV/dec. The TFTs were biased for up to four hours at different temperatures and illumination. Threshold voltage shifts were observed and modeled.

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This dataset lets the users to rapidally estimate electric generator size, mass and losses for given power requirement, speed and DC bus voltage.This is accomplished through the metamodeling of a normalized optimization based machine design framework. The method is applied to a permanent magnet ac machine. This work is developed using the paper Metamodeling of Rotating Electric Machinery published in IEEE Transactions on Energy Conversion.

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This file contains codes and dataset for generating the results in our paper titled " Cluster Based Energy Efficient Lifetime Maximization and Resource Allocation for M2M Networks".

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Tenessee Eastman (TE) process simulates actual chemical processes and is widely used as a benchmark in test fault diagnosis and process control. The overall process consists of five operating units: reactor, condenser, vapor-liquid separator, recycle compressor and product stripper. It has standard training and test data sets for fault detection and diagnosis, classification, etc. Each data set is under different operating conditions。

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This report outlines the derivation of the first-, second-, and third-order Taylor series expansions of the power flow solution; it is the Electronic Companion of the following paper:

R. A. Jabr, “High-order approximate power flow solutions and circular arithmetic applications,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 5053-5062, November 2019.

The derivation is carried out in complex variables via the use of Wirtinger calculus.

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This data is associated to an optimization model for generation expansion planning considering energy-based and power-based formulations. The data contains the information used in the case studies related to demand and renewable time series, as well as the technical characteristic of generation and storage units.

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The data through Figure 1~3 in the manuscript "Spatio-Temporal Correlation Analysis of Online Monitoring Data for Anomaly Detection and Location in Distribution Networks".

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Modern technologies have made the capture and sharing of digital video commonplace; the combination of modern smartphones, cloud storage, and social media platforms have enabled video to become a primary source of information for many people and institutions. As a result, it is important to be able to verify the authenticity and source of this information, including identifying the source camera model that captured it. While a variety of forensic techniques have been developed for digital images, less research has been conducted towards the forensic analysis of videos.

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