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When social computing meets soft computing: opportunities and insights

amounts of high dimension, uncertain, imprecision and noisy data from social networks. Thanks to the emerging soft computing techniques which unlike the conventional hard computing. It is widely used for ... incorporating the methodologies and technologies about social computing, such as communities, social network, social phycology. Application-oriented social computing experienced three phases: group software

Ecological consideration for several methodologies to diagnose vegetation phenology

, they are limited in spa- be directly linked to satellite observations to upscale tial coverage and use a range of methodologies con- fine-scale information on vegetation green-up and ducted by a large ... Appl 19 : 1417 - 1428 Roger JC , Vermote EF , Ray J ( 2015 ) MODIS surface reflectance user's guide. Collection 6 . MODIS LandSurface Reflectance Science Computing Facility . http://modisland.gsfc.nasa

Cognitive systems and operations research in big data and cloud computing

traditional approaches in which data are acquired and processed, such as computer and management sciences, pervasive computing etc., but also they have become the basis for new scientific disciplines and ... research areas, such as cognitive informatics, bio-inspired computing, and even some innovative research fields of operations research. In such promising disciplines, which will be based on future generation

Renewal of the Major Fields from New Generation Computing Vol. 36 (2018)

, Social Computing, Cognitive Computing, Control Theory of Bio- and Nano-systems, and Bio/Nano/Molecular Computing and Engineering. From this volume, Masayuki Numao and Yutaka Matsuo succeed Masami Hagiya ... further contribute to new computing paradigms and computational intelligence. Editor-in-Chief Masayuki Numao Osaka University Associate Editor-in-Chief Yutaka Matsuo The University of Tokyo Learning

Environment for integration of distributed heterogeneous computing systems

not be an easy task. This work deals with the synchronization of heterogeneous and distributed hardware devices. For this purpose, a loosely coupled computing platform named Virtual Bus is presented as ... , the IEEE 1516 standard (denoted HLA - High Level Architecture) is used. As proof of concept, Virtual Bus was used to integrate three different computing architectures, a multi-core CPU, a GPU and a

Review of machine-vision based methodologies for displacement measurement in civil structures

measurement, from the perspectives of methodologies and applications. Video-processing procedures in this paper are summarised as a three-component framework: camera calibration, target tracking and structural ... structural monitoring exist [27–29], the contribution of this work is to provide an overview of system classifications, methodologies and applications in field monitoring. The paper is organised as follows

Guest editorial: fog computing on wheels

University , 866 Yuhangtang Road, Hangzhou, Zhejiang Province 310058 , China - 1 Introduction Fog Computing is a paradigm that extends Cloud Computing, which emphasizes proximity to end-users and client ... Computing platform. With the vast number of vehicles and their extraordinary mobility and wide distribution, a vehicular fog is the ideal platform to deliver a rich menu of services in infotainment, safety

“When words become unclear”: unmasking ICT through visual methodologies in participatory ICT4D

offers a way for researchers and practitioners to engage with cultural issues in community-based research and design using visual methodologies. ... will operate before interacting with it, and grow disappointed when design outputs do not meet their expectations (Maunder et al. 2007; Doerflinger et al. 2013) . Similarly, for methodologies that

Task scheduling and resource allocation in cloud computing using a heuristic approach

Cloud computing is required by modern technology. Task scheduling and resource allocation are important aspects of cloud computing. This paper proposes a heuristic approach that combines the modified ... methodologies, rather than the random allocation of resources. Cloud computing is widely used for solving complex tasks (user requests). In solving complex task issues, the use of scheduling algorithm is

Technology, attributions, and emotions in post-secondary education: An application of Weiner’s attribution theory to academic computing problems

As technology becomes increasingly integrated with education, research on the relationships between students’ computing-related emotions and motivation following technological difficulties is ... clearly underscore the importance of assessing computing-related motivation and emotions both using experience-based methodologies as well as among students in asynchronous and traditional learning

Deep learning models for human centered computing in fog and mobile edge networks

computing power which makes it possible to train large-scale neural networks, such as high-performance GPU can integrate thousands of cores (Jiang et al. 2018; Elmisery et al. 2018; Deng and Yu 2014). Deep

Abundance, distribution and diversity of gelatinous predators along the northern Mid-Atlantic Ridge: A comparison of different sampling methodologies

sampling, as well as comparisons made between five different methodologies that were employed during the MAR-ECO survey. In total, 16 species of hydromedusae, 31 species of siphonophores and four species of ... compared between different sampling methodologies including: a macrozooplankton trawl; a Multinet; a ringnet attached to bottom trawl; and optical platforms (Underwater Video Profiler (UVP) & Remotely

Can cloudlet coordination support cloud computing infrastructure?

, battery life, heat, and weight dissipation. To overcome the limitations of mobile devices, cloud computing is considered the best solution. The major issues faced by cloud computing are expensive roaming ... cloud computing are fast application processing, fast transfer of data, and substantial reduction in the use of mobile resources. This study evaluated the association between the distance of cloud servers

A taxonomy of task-based parallel programming technologies for high-performance computing

-based systems exist today and are actively used for parallel and high-performance computing (HPC), no comprehensive overview or classification of task-based technologies for HPC exists. In this paper, we ... for consumer applications. Conversely, in high-performance computing (HPC), loopbased and message-passing paradigms are still dominant. In this work, we specifically aim to categorize task-based

Towards Portable Large-Scale Image Processing with High-Performance Computing

High-throughput, large-scale medical image computing demands tight integration of high-performance computing (HPC) infrastructure for data storage, job distribution, and image processing. The ... , Nashville, TN , USA 3 Radiology and Radiological Sciences, Vanderbilt University Medical Center , Nashville, TN , USA 4 Advanced Computing Center for Research and Education, Vanderbilt University , Nashville

Special focus on natural language processing and social computing

Special Focus on Natural Language Processing and ∗ Social Computing Tang J et al. Sci China Inf Sci Natural language processing (NLP) and social network analysis (SNA) technologies are among the ... have to be met - the networks are huge and information is noisy, and they demand new methodologies in analyzing these networks, and in developing theories and applications for the big networked data

DGCC: data-driven granular cognitive computing

intelligent computing models are inspired by various human/ natural/social intelligence mechanisms. Three main schools of artificial intelligence are formed, that is, symbolism, connectionism and behaviorism ... . Achievements of cognitive science could give much inspiration to AI. Cognitive computing is one of the core fields of artificial intelligence. It aims to develop a coherent, unified, universal mechanism inspired

ICT, activity space–time and mobility: new insights, new models, new methodologies

degree of uncertainty and innovation grows so does the need for novel methodologies to tackle the inherent behavioural complexity. Luckily, the increasing use of ICT themselves—via mobile phones and apps ... virtual spaces, and new methodologies to collect and analyse data from active and passive big data sources including social media and specifically tailored APPs on travel, time use and activities. Moreover

Decision modelling of non-pharmacological interventions for individuals with dementia: a systematic review of methodologies

reasonable to expect that methodologies for evaluation of NPIs should be different from those used for evaluating pharmacological interventions. A recent review has demonstrated that pharmacological ... strong understanding of methodologies available for economic decision modelling in dementia. A number of existing reviews have investigated decision modelling in dementia [ 17–19 ], but none, to the best