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  1. 45601

    Inculcating of sasak local cultural values in learning at elementary school by Aswasulasikin Aswasulasikin, Dina Fadilah, Yul Alfian Hadi

    Published 2022-12-01
    “…The data obtained can be described as follows: first, the majority of local sasak cultures are almost extinct due to the rapid development of technology that exhibits external cultures that are easily accessed by the younger generation, while the local culture of the Sasak cannot keep up with these technological developments. …”
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    Article
  2. 45602

    Brief Overview of a Decade of Genome-Wide Association Studies on Primary Hypertension by Afifah Binti Azam, Elena Aisha Binti Azizan

    Published 2018-01-01
    “…With major advancement in high-throughput genotyping technology, genome-wide association study (GWAS) has become a powerful tool for researchers studying genetically complex diseases. …”
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  3. 45603

    Anomaly detection model for multivariate time series based on stochastic Transformer by Weigang HUO, Rui LIANG, Yonghua LI

    Published 2023-02-01
    “…Aiming at the problem that the existing multivariate time series anomaly detection models based on variational autoencoders could not propagate long-term temporal dependencies between stochastic variables in latent space, the stochastic Transformer for MTS anomaly detection (ST-MTS-AD) model which combined Transformer encoder with VAE was proposed.In the inference network of the ST-MTS-AD, the MTS long-term temporal dependent features generated by Transformer encoder and the sampled values of the stochastic variables at the previous moment were inputted into the multilayer perceptron, the approximate posterior distribution of the stochastic variables at the current moment was generated by the multilayer perceptron, and the temporal dependencies between stochastic variables were realized.The gated transition function(GTF) was used to generate the prior distribution of stochastic variables.The generation network of the ST-MTS-AD reconstructed the distribution of the MTS values at each moment by the multilayer perceptron whose input was the MTS long-term temporal dependent features generated by the inference network and the approximate posterior sampling values of stochastic variables.The distribution of normal MTS dataset was learned by the variational inference technology, and the abnormal MTS segment was determined by the log-likelihood of the reconstruction probability.Experiments on four public datasets show that the ST-MTS-AD model significantly improves the F1 score over the typical baseline models.…”
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  4. 45604
  5. 45605

    Experimental Evaluation of MIMO-OFDM System with Rateless Space-Time Block Code by Ali H. Alqahtani, Khaled Humadi, Ahmed Iyanda Sulyman, Abdulhameed Alsanie

    Published 2019-01-01
    “…Multiple-input multiple-output (MIMO) wireless technology in combination with orthogonal frequency-division multiplexing (MIMO-OFDM) is an attractive technique for next-generation wireless systems. …”
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  6. 45606

    Photocell with two Schottky barrier contacts Ti-p-Si and ohmic silicide contact NiSi-p-Si by R. B. Burlakov

    Published 2020-03-01
    “…Photocell possesses a simple structure and technology with a time of its fabrication in the interval (2,5–3) of the hour.…”
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  7. 45607

    Le Québec élève-modèle du Canada dans le dossier des émissions de gaz à effet de serre : concours de circonstances ou l’exemple à suivre? by Sebastian Weissenberger

    Published 2004-05-01
    “…An analysis of energy sector indicators over the past two decades suggests that advances in industrial technology, as in the case of the aluminum and magnesium industry and oil prices are far better regulators of greenhouse gas emissions than government policies designed to incite emission reductions. …”
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  8. 45608

    Biterm topic model of social network users’ sentiment by integrating word co-occurrence by Qiuyang GU, Bao WU, Chunhua JU

    Published 2020-11-01
    “…With the increasing number of social network users in recent years,text-based user sentiment analysis technology has been widely concerned and applied.However,data sparsity and low accuracy often reduce the accuracy and speed of emotion recognition methods.The user emotion Biterm topic model (US-BTM) was proposed which could find user preference and emotional tendency from the text of specific places,so as to effectively use Biterm for topic modeling.The strategy of user aggregation to form pseudo-documents was used,and word pairs were created for the whole corpus to solve the problems of data sparsity and short text.Then the topic was studied through the lexical co-occurrence model,so as to infer the topic with abundant corps-level information,and the purpose of accurately predicting the user’s interest,preference and emotion to the specific scene was achieved by analyzing the lexical matching set in the comment corpus under the specific scene and the emotion of the corresponding topic.The experimental results show that the method proposed can accurately capture users’ emotional tendency and correctly reveal users’ preference,which can be widely used in social network content description,recommendation,social network user interest description,semantic analysis and other fields.…”
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  9. 45609

    Two-Dimensional Key Table-Based Group Key Distribution in Advanced Metering Infrastructure by Woong Go, Jin Kawk

    Published 2014-01-01
    “…A smart grid provides two-way communication by using the information and communication technology. In order to establish two-way communication, the advanced metering infrastructure (AMI) is used in the smart grid as the core infrastructure. …”
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  13. 45613

    تصمیم الخدمات المعلوماتیة وفقا لاحتیاجات المستفیدین من مکتبات کلیات جامعة طنطا : دراسة تخطیطیة by د. هبة فتحى دنیا

    Published 2018-04-01
    “…The study also concluded that costs, the need toqualify human in libraries, limited library space, and lack of technology are themost important challenges that may face the faculties of the University of Tantalibraries when adopting this approach.…”
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  14. 45614
  15. 45615

    Contextual Awareness Service of Internet of Things User Interaction Mode in Intelligent Environment by Lingling Song

    Published 2022-01-01
    “…This article first collected a large amount of data through the literature survey method, which laid a sufficient theoretical foundation for the subsequent research; then, using smart sensors, smart interaction technology, and context awareness methods is employed to design and build a context-aware service system based on the user interaction modality of the Internet of Things; in order to test the performance and effect of the situational awareness system, take the elderly home care behavior as the research object, collect the 28-day home behavior of the elderly as sample data, and divide it into 7-day data, 14-day data, 21-day data, and 28-day data, by adopting rule pruning demand reasoning algorithm and evidence theory algorithm to reason about the service demand of the elderly. …”
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  16. 45616

    Dynamics Analysis and Experiment of Novel Compound Dry Separator by Li Hongxi, Zhou Enhui, Zhang Bo, Jiang Haishen, Shen Ling, Yin Zixin

    Published 2022-01-01
    “…The method of dry coal beneficiation is a key method of separation technology in the field of coal mining. In this paper, the structure of a novel compound dry separator (NCDS) was revealed. …”
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