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International Journal of Advanced Pervasive and Ubiquitous Computing
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ISSN (Print) 1937-965X - ISSN (Online) 1937-9668
Published by IGI Global

[146 journals]

Hindi and Punjabi Continuous Speech Recognition Using CNSVM
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  Authors: Passricha; Vishal, Singhal, Shubhanshi
  Pages: 1 - 15
  Abstract: CNNs are playing a vital role in the field of automatic speech recognition. Most CNNs employ a softmax activation layer to minimize cross-entropy loss. This layer generates the posterior probability in object classification tasks. SVMs are also offering promising results in the field of ASR. In this article, two different approaches: CNNs and SVMs, are combined together to propose a new hybrid architecture. This model replaces the softmax layer, i.e. the last layer of CNN by SVMs to effectively deal with high dimensional features. This model should be interpreted as a special form of structured SVM and named the Convolutional Neural SVM. (CNSVM). CNSVMs incorporate the characteristics of both models which CNNs learn features from the speech signal and SVMs classify these features into corresponding text. The parameters of CNNs and SVMs are trained jointly using a sequence level max-margin and sMBR criterion. The performance achieved by CNSVM on Hindi and Punjabi speech corpus for word error rate is 13.43% and 15.86%, respectively, which is a significant improvement on CNNs.
  Keywords: Human Aspects of Technology; Social Sciences & Humanities; Ubiquitous & Pervasive Computing
  Citation: International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), Volume: 11, Issue: 4 (2019) Pages: 1-15
  PubDate: 2019-10-01T04:00:00Z
  DOI: 10.4018/IJAPUC.2019100101
  Issue No: Vol. 11, No. 4 (2019)
Local and Remote Recovery of Cloud Services Using Backward Atomic Backup
Recovery Technique for High Availability in Strongly Consistent Cloud
Service
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  Authors: Challagidad; Praveen Shivashankrappa, Birje, Mahantesh N.
  Pages: 16 - 33
  Abstract: Data loss occurs due to crashing, correlated failure, logical failure, power outages and security threats. Several techniques (e.g. NoBackup, WARBackup and LocalRecovery) are being used to recover data locally. And, strongly consistent Cloud services (SCCS) must provide good performance and high availability. However, conventional strong consistency replication methods have the limitation of availability of replicated services when recovering huge amount of data across wide area links. There is a need for remote recovery mechanisms for high availability of service/data, because distributed nature of cloud infrastructures. To address these issues, the article proposes a hierarchical system architecture for replication across a data center, and employs the backward atomic backup recovery technique (BABRT) for local recovery and remote recovery for high availability of the cloud services/data. A mathematical model for BABRT is described. Simulation results show that BABRT reduces the storage consumption, recovery time, window of vulnerability and failure rates, compared to other recovery models.
  Keywords: Human Aspects of Technology; Social Sciences & Humanities; Ubiquitous & Pervasive Computing
  Citation: International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), Volume: 11, Issue: 4 (2019) Pages: 16-33
  PubDate: 2019-10-01T04:00:00Z
  DOI: 10.4018/IJAPUC.2019100102
  Issue No: Vol. 11, No. 4 (2019)
Design of Workflow Engine Based on Relational Structures
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  Authors: Ji; Song, Zhai, Weifang, Jiang, Yiran
  Pages: 34 - 43
  Abstract: Workflow technology is the core technology to realize business process modeling, process operation, monitoring and management, and ultimately realize business process automation. Workflow-based office automation system can separate code writing and the operation mode. When business processes need to be changed, there is no need to modify the program. Users only need to customize the workflow through the visual process customization mode. The workflow engine is the core of the whole workflow management system and the control center of the whole system. This article designs a workflow engine based on a relational structure, including the design of workflow engine class, functional component, interface and database. Finally, a flexible office automation system with customizable business processes is implemented.
  Keywords: Human Aspects of Technology; Social Sciences & Humanities; Ubiquitous & Pervasive Computing
  Citation: International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), Volume: 11, Issue: 4 (2019) Pages: 34-43
  PubDate: 2019-10-01T04:00:00Z
  DOI: 10.4018/IJAPUC.2019100103
  Issue No: Vol. 11, No. 4 (2019)
A Survey on Predicting Resident Intentions Using Contextual Modalities in
Smart Home
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  Authors: Hegde; Rakshith M.D., Kenchannavar, Harish H.
  Pages: 44 - 59
  Abstract: The Smart Home is an environment that enables the resident to interact with home appliances which provide resident intended services. In recent years, predicting resident intention based on the contextual modalities like activity, speech, emotion, object affordances, and physiological parameters have increased importance in the field of pervasive computing. Contextual modality is the feature through which resident interacts with the home appliances like TVs, lights, doors, fans, etc. These modalities assist the appliances in predicting the resident intentions making them recommend resident intended services like opening and closing doors, turning on and off televisions, lights, and fans. Resident-appliance interaction can be achieved by embedding artificial intelligence-based machine learning algorithms into the appliances. Recent research works on the contextual modalities and associated machine learning algorithms which are required to build resident intention prediction system have been surveyed in this article. A classification taxonomy of contextual modalities is also discussed.
  Keywords: Human Aspects of Technology; Social Sciences & Humanities; Ubiquitous & Pervasive Computing
  Citation: International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), Volume: 11, Issue: 4 (2019) Pages: 44-59
  PubDate: 2019-10-01T04:00:00Z
  DOI: 10.4018/IJAPUC.2019100104
  Issue No: Vol. 11, No. 4 (2019)

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