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Information, Volume 11, Issue 10

October 2020 - 36 articles

Cover Story: We investigated the ability of deep learning neural networks to provide mapping between the features of a parallel distributed discrete-event simulation (PDDES) system (software and hardware) to a time synchronization scheme to optimize speed-up performance. Deep belief networks (DBNs) were used, which due to their multiple layers with feature detectors at the lower layers and a supervised scheme at the higher layers, can provide nonlinear mapping. The mapping mechanism works by considering simulation constructs, hardware, and software intricacies such as simulation objects, concurrency, iterations, routines, and messaging rates with an importance level based on a cognitive approach. The result is a synchronization scheme with breathing time buckets, breathing time warp, and time warp to optimize the speed-up. View this paper.
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Articles (36)

  • Article
  • Open Access
9 Citations
8,401 Views
13 Pages

Factors Affecting Decision-Making Processes in Virtual Teams in the UAE

  • Vida Davidaviciene,
  • Khaled Al Majzoub and
  • Ieva Meidute-Kavaliauskiene

21 October 2020

Organizational reliance on virtual teams (VTs) is increasing tremendously due to the significant benefits they offer, such as efficiently reaching objectives and increasing organizational performance. However, VTs face a lot of challenges that, if ov...

  • Article
  • Open Access
3 Citations
3,482 Views
20 Pages

Data-Driven Critical Tract Variable Determination for European Portuguese

  • Samuel Silva,
  • Nuno Almeida,
  • Conceição Cunha,
  • Arun Joseph,
  • Jens Frahm and
  • António Teixeira

21 October 2020

Technologies, such as real-time magnetic resonance (RT-MRI), can provide valuable information to evolve our understanding of the static and dynamic aspects of speech by contributing to the determination of which articulators are essential (critical)...

  • Article
  • Open Access
2 Citations
3,943 Views
18 Pages

A Neural-Network-Based Approach to Chinese–Uyghur Organization Name Translation

  • Aishan Wumaier,
  • Cuiyun Xu,
  • Zaokere Kadeer,
  • Wenqi Liu,
  • Yingbo Wang,
  • Xireaili Haierla,
  • Maihemuti Maimaiti,
  • ShengWei Tian and
  • Alimu Saimaiti

21 October 2020

The recognition and translation of organization names (ONs) is challenging due to the complex structures and high variability involved. ONs consist not only of common generic words but also names, rare words, abbreviations and business and industry j...

  • Article
  • Open Access
9 Citations
5,005 Views
19 Pages

Models for Internet of Things Environments—A Survey

  • Ana Cristina Franco da Silva and
  • Pascal Hirmer

20 October 2020

Today, the Internet of Things (IoT) is an emerging topic in research and industry. Famous examples of IoT applications are smart homes, smart cities, and smart factories. Through highly interconnected devices, equipped with sensors and actuators, con...

  • Article
  • Open Access
17 Citations
9,439 Views
17 Pages

20 October 2020

In this paper, we incorporate a GARCH model into an artificial neural network (ANN) for financial volatility modeling and estimate the parameters in Tensorflow. Our goal was to better predict stock volatility. We evaluate the performance of the model...

  • Article
  • Open Access
4 Citations
2,624 Views
16 Pages

20 October 2020

At present, range-free localization algorithm is the mainstream of node localization method, which has made tremendous achievements. However, there are few algorithms that can be used in concave regions, and the existing algorithms have defects such...

  • Article
  • Open Access
3 Citations
3,091 Views
16 Pages

Joint Sentiment Part Topic Regression Model for Multimodal Analysis

  • Mengyao Li,
  • Yonghua Zhu,
  • Wenjing Gao,
  • Meng Cao and
  • Shaoxiu Wang

19 October 2020

The development of multimodal media compensates for the lack of information expression in a single modality and thus gradually becomes the main carrier of sentiment. In this situation, automatic assessment for sentiment information in multimodal cont...

  • Article
  • Open Access
6 Citations
7,135 Views
32 Pages

17 October 2020

The human mood has a temporary effect on the face shape due to the movement of its muscles. Happiness, sadness, fear, anger, and other emotional conditions may affect the face biometric system’s reliability. Most of the current studies on facia...

  • Article
  • Open Access
7 Citations
4,008 Views
19 Pages

15 October 2020

Two sentences can be related in many different ways. Distinct tasks in natural language processing aim to identify different semantic relations between sentences. We developed several models for natural language inference and semantic textual similar...

  • Review
  • Open Access
11 Citations
5,483 Views
24 Pages

14 October 2020

Multi-Resolution Modeling (MRM) is a modeling technology that creates a model that expresses the same phenomenon at more than two different resolutions. Since the advent of distributed simulation systems, the MRM study began in the military field, wh...

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Information - ISSN 2078-2489