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This programme is executed by the OAS Department of Education and Culture in coordination with MiDE. c. Developing models of best practice to assist migrant women who are victims of violence in the border region of the United States of America and Mexico The project aims at identifying programmes, mechanisms and initiatives that support migrant women who are victims of violence in the border region of San Diego, United States, and Tijuana, Mexico, to compare and analyze their effectiveness, and to identify models of best practices. These practices will be integrated into a proposed model of assistance to migrant women who are victims of violence. The project intends to discuss and disseminate the proposed model and to help implement it. d. Training migration agencies in Central America on detecting human trafficking The goal of this project is to train migration agencies in selected Central American countries to identify, protect and assist victims of human trafficking.
Language:English
Score: 843326.3 - https://www.un.org/development.../files/200911_unpd_cm8_oas.pdf
Data Source: un
Introduction H.264 INTRA prediction models are applied in the JSVM1 enhancement layer INTRA prediction and the I_BL model is added. (...) Figure 5 Enhancement DC prediction Figure 6 Enhancement Horizontal prediction Figure 7 Enhancement Vertical prediction Certainly, when processing the enhancement INTRA prediction as described above, both the current macroblock in the enhancement layer and the corresponding macroblock in the lower layer must be INTRA model. (...) However, the DC prediction uses only DC4 model and the Horizontal prediction uses only Horizontal2 model and the Vertical prediction uses only Vertical2 model. 3.
Language:English
Score: 842885.5 - https://www.itu.int/wftp3/av-a...ite/2005_04_Busan/JVT-O029.doc
Data Source: un
Coale and P. Demeny. Regional Model Life Tables and Stable Populations (Princeton, N . (...) Preston, Mortaliry Patterns in National Populations (New Yo&, Academic Press, 1976). and constructing new model life tables which embody those patterns. Model life tables are not constructed solely for study of age patterns of mortality or disease processes. (...) In this publication, such model age patterns of mortal- ity for developing countries are presented.
Language:English
Score: 841774.9 - https://www.un.org/en/developm.../model/lifetables/intro-en.pdf
Data Source: un
We have used a pre‑ 2 heatmap predictor which predicts the keypoint heatmap trained model to calculate the ground truth of heatmap having the information of various facial parts, e.g., up‑ and have applied mean square error loss between pre‑ per left eyelid and nose bridge. (...) The input lution/LSTM to generate the corresponding ’s and ’s. of the keypoint predictor model is the previous 5 frames along with 256 audio mel spectrogram features which are 4.3.1 Keypoint heatmap predictor concatenated along the channel axis. This is optimization with mean square error loss with a pretrained facial key‑ The predictor model is based on Hourglass architecture point detection model. [57] that, from the input image, estimates K heatmaps ∈ [0, 1]H×W, one for each keypoint, each of which rep‑ 2 https://github.com/raymon-tian/hourglass-facekeypoints-detection © International Telecommunication Union, 2021 35     46     47     48     49     50     51     52     53     54     55     56          
Language:English
Score: 841693.75 - https://www.itu.int/en/publica...4/files/basic-html/page51.html
Data Source: un
Instead the SDL+ defines a model that represents the significant properties (mainly behaviour) of the system. (...) These views are contained in different models of the system. During the engineering process the system is gradually built up by producing these models. Since the models are all models of the same system, they are all related.
Language:English
Score: 839668.8 - https://www.itu.int/ITU-T/2005...8/com17/languages/Z100sup1.pdf
Data Source: un
Download signals Recommendation ITU-T P.381: Extension of the methodology for the derivation of equipment impairment factors from instrumental models for wideband speech codecs Rec. ITU-T P.381 specifies critical physical and electrical-acoustical characteristics for the universal headset interface and provides corresponding test methods. (...) Models compliant with this Recommendation predict mean opinion scores (MOS) on the ACR listening quality scale. (...) They will reflect the auditory impairments of the corresponding equipment in a listening-only mode. The present methodology makes use of instrumental models (so-called “objective methods”), e.g., of the model defined in Recommendation ITU-T P.862.2.
Language:English
Score: 836870.5 - https://www.itu.int/net/itu-t/sigdb/genaudio/Pseries.htm
Data Source: un
The results of the wideband echo TALT were compared to ITU-T Recommendation G.131 and to the current modeling of narrowband echoes within the E-Model. The aim is to find out whether the E-Model is already capable to cover the degradation due to wideband echoes or whether it is necessary to update the E-Model in order to cover also wideband residual echoes. 1. (...) The “acceptable” and “limiting case” curves given in ITU-T Recommendation G.131 correspond to E-Model rating of factors R = 74 and R = 60 respectively. (...) Four thin lines are drawn in each of the Figures 3.4 to 3.6 which correspond to the iso-quality-contours for the E-Model transmission rating factors R = 90, 80, 74 and 60, respectively.
Language:English
Score: 835354.1 - https://www.itu.int/dms_pub/it.../06/17/T061700000C0043PDFE.pdf
Data Source: un
Due to the fact that the focus of our research activities is on the model-based test generation, we have not regarded the mapping of UML elements to their corresponding SDL-2000 elements. (...) The standard exchange format for UML models is the XML Metadata Interchange (XMI) [8] which is tightly coupled to the corresponding Meta Object Facility (MOF) [9]. (...) The internal structure of the SIP User Agent Modeling of Dynamical Behavior The main difference between a native SDL model and a corresponding SDL-UML model is the methodology to specify the behavior of the system.
Language:English
Score: 833312.4 - https://www.itu.int/dms_pub/it.../06/18/T06180000010041PDFE.pdf
Data Source: un
Additionally, the number of topic modeling. This table is composed of the representative clusters and of iterations can be set when applying the LDA topic (Topic) extracted by applying the LDA algorithm, algorithm for topic modeling. The Topic Modeling Function Dirichlet parameter (Dirichlet Parameter), and occurrence is designed to allow users to easily recognize the size of rate normalized by the dirichlet parameter (Occurrence Rate). each topic, while receiving the topic modeling results after applying the LDA algorithm. (...) The LDA algorithm We designed following two tables in our database schema, is based on the expectation-maximization algorithm in so that TASIS implements the corresponding functions unsupervised learning algorithms [17].
Language:English
Score: 833268.3 - https://www.itu.int/en/publica.../files/basic-html/page189.html
Data Source: un
Introduction H.264 INTRA prediction models are applied in the JSVM1 enhancement layer INTRA prediction and the I_BL model is added. (...) Figure 5 Enhancement DC prediction Figure 6 Enhancement Horizontal prediction Figure 7 Enhancement Vertical prediction Certainly, when processing the enhancement INTRA prediction as described above, both the current macroblock in the enhancement layer and the corresponding macroblock in the lower layer must be INTRA model. (...) However, the DC prediction uses only DC4 model and the Horizontal prediction uses only Horizontal2 model and the Vertical prediction uses only Vertical2 model. 3.
Language:English
Score: 832575 - https://www.itu.int/wftp3/av-a...e/2005_04_Busan/JVT-O029r1.doc
Data Source: un