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"smartness of Technology" or "smartness of Learners": Is it a Zero-Sum Game? Or Can We Have Both? 26

"Smartness of Technology" or "Smartness of Learners": Is it ...

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26th international conference ON COMPUTERS IN EDUCATION

作者： Looi, Chee-Kit Wong, Lung-Hsiang Biswas, Gautam Du Boulay, Ben Hoppe, H. Ulrich Mizoguchi, Riichiro Nanyang Technol Univ Learning Sci Lab Natl Inst Educ Singapore Singapore Vanderbilt Univ 221 Kirkland Hall Nashville TN 37235 USA Univ Sussex Brighton E Sussex England Univ Duisburg Essen Duisburg Germany Japan Adv Inst Sci & Technol Nomi Japan

ISBN: (纸本)9789869401289

In the second decade of the 21st century, we see the proliferation of cloud computing, Internet of Things/People, and big data/analytics, and the rejuvenation of Artificial Intelligence, robotics, virtual realities and augmented realities, etc., which have triggered the trends of building smart nations, smart cities, smart offices and smart homes all over the world. Such a trend has also shown its influence in the learning technology field where scholars and developers have begun to adapt and synthesize such state-of-the-art technologies to construct smart learning environments and tools. Notwithstanding, it is the time for us to take a step back and reflect upon-in the era where even intelligent robots could sit in high-stakes examinations and "perform better" than most of the human students, what kind of smart students and smart citizens do we really need and want to foster? What kinds of smart learning environments do that we need to develop to achieve the stated aim? What are the underpinning educational principles that the designers of such environments should adopt? This panel aims to bring together scholars who have worked in specific learning technologies or technology-aided pedagogies to co-identify the human-oriented (rather than technology-driven) objectives of the "smart learning" wave, and to possibly relook or even re-define the notion of "smart learning".

关键词： Learning technology landscape smart learning educational principles

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Industry 4.0: University Students’ Perception, Awareness and Preparedness - A Case of Namibia

Industry 4.0: University Students’ Perception, Awareness an...

引用

IST-Africa

作者： Martin Mabeifam Ujakpa Jude Odiakaosa Osakwe Gloria Ejehiohen Iyawa Valerianus Hashiyana Aussie Nkrumah Mutalya Faculty of Information and Communication Technology the International University of Management Windhoek Namibia Faculty of Informatics Namibia University of Science and Technology Windhoek Namibia School of Computing University of Namibia Windhoek Namibia

ISBN: (数字)9781905824656

ISBN: (纸本)9781728157740

Industry 4.0 is a new trend in the manufacturing and relevant sectors that is based on the integration of a set of technologies that enable the ecosystem of intelligent, autonomous and decentralized factories and integrated products and services. Beyond its predecessor revolutions, it is one with the potential to raise global income levels and improve the quality of life for populations around the world. However, like any technology, it has its positive and negative aspect and as a result, is described by some as a “greater promise or a potential peril.” To take maximum advantage of the promise or overcome the peril, industries including the educational sector have to prepare for it. The educational sector need to prepare for it as it is an employer and more importantly a training facilitator for other industries. This study undertook an investigation to establish the awareness and preparedness of students in the educational sector especially in developing countries (including Namibia) for the fourth industrial revolution. Using a quantitative design approach, data was collected from 24 students in three universities in Namibia. The study found that students are aware of industry 4.0 but further education on its applications is needed to further prepare students to be able to work within the era of the revolution. Though not much direct education on industry 4.0 is given to students, most students have used industry 4.0 applications and are competent in using most of the industry 4.0 applications. Relevant government bodies and schools need to put strategies in place to create further awareness of industry 4.0, specifically on smart factories and augmented reality to get students ready for the revolution.

关键词： Industries Artificial intelligence Internet of Things Sociology Statistics Business

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UH4SP: A Software Platform For Integrated Management Of Connected smart Plants 9

UH4SP: A Software Platform For Integrated Management Of Conn...

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9th international conference on intelligent Systems (IS)

作者： Santos, Nuno Rodrigues, Helena Pereira, Jaime Morais, Francisco Abreu, Ricardo Fernandes, Nuno Martins, Diana Machado, Ricardo J. CCG ZGDV Inst EPMQ IT Engn Matur & Qual Lab Guimaraes Portugal Univ Minho Sch Engn ALGORITMI Res Ctr Guimaraes Portugal Cachapuz Bilanciai Grp SA Braga Portugal Eurotux Informat SA Braga Portugal

ISBN: (纸本)9781538670972

Digitization of industrial processes has enabled access to production data from external entities within the supply chain. While interoperability standards and protocols support data integration, horizontally and vertically, within the factory, the design of production integration solutions often are not performed adequately. This paper presents the Unified Hub for smart Plants (UH4SP) system and its related use case within Industry 4.0 and "Connected smart Plants". The UH4SP uses technologies such as cloud computing, internet of things, microservices and API gateways, to address data integration and collaborative processes between plants, corporative groups, and third -party entities.

关键词： Industry 4.0 connected factories cloud computing microservices interoperability

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Review of intelligent computing application 1st

Review of intelligent computing application

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1st international conference on smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017

作者： Wang, Yiou Liu, Tianyuan Zhang, Fuquan Xu, Lin Ding, Gangyi Xiong, Rui Liu, Fei Beijing Institute of Science and Technology Information Beijing100044 China Carnegie Mellon University 5000 Forbes Avenue PittsburghPA15213 United States Digital Performance and Simulation Technology Lab. School of Software Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang Univeristy Fuzhou350121 China Innovative Information Industry Research Institute Fujian Normal University Fuzhou350300 China

ISBN: (纸本)9783319707297

intelligent computing systems can automatically sense environmental changes in the sensor network, make judgments and prediction on the environmental status in time, and provide response strategies in different environments, applying some technologies of pattern recognition, time series prediction and big data analytics. Nowadays, intelligent computing is successfully used in a lot of areas such as transportation, healthcare, home, performance and environmental monitoring. In this paper, the concept of intelligent computing is introduced. Then, the applications in different areas are discussed detailedly. Finally, the future of intelligent computing is analyzed and the conclusion is briefly given. © Springer international Publishing AG 2018.

关键词： Wireless sensor networks

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Proceedings - 2018 IEEE international conference on Cognitive computing, ICCC 2018 - Part of the 2018 IEEE World Congress on Services

Proceedings - 2018 IEEE International Conference on Cognitiv...

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2018 IEEE international conference on Cognitive computing, ICCC 2018

ISBN: (纸本)9781538672419

The proceedings contain 20 papers. The topics discussed include: empowering first responders through automated multimodal content moderation;a neural network-powered cognitive method of identifying semantic entities in earth science papers;an edge based smart parking solution using camera networks and deep learning;incremental learning through graceful degradations in autonomous systems;upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms;analysis of shapelet transform usage in traffic event detection;an innovative framework for supporting cognitive-based big data analytics for frequent pattern mining;quantitative modeling of polarization in online intelligent argumentation and deliberation for capturing collective intelligence;and automatic hyperparameter tuning in deep convolutional neural networks using asynchronous reinforcement learning.

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smart Cities Semantics and data Models

Smart Cities Semantics and Data Models

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international conference on Information Technology and Systems (ICITS)

作者： Jara, Antonio J. Serrano, Martin Gomez, Andrea Fernandez, David Molina, German Bocchi, Yann Alcarria, Ramon Univ Appl Sci Western Switzerland HES SO Mobil Lab Technopole 3 CH-3960 Sierre Switzerland NUIG Insight Res Ctr Galway Ireland HOP Ubiquitous SL HOPU Luis Bunuel 6 Murcia 30562 Spain UPM Escuela Tecn Super Ingn Telefomunicac Madrid Spain

ISBN: (纸本)9783319734507;9783319734491

data models and semantics are a key aspect for the valorization of data in cross-domain applications and to obtain knowledge/insights beyond the original applications (vertical use cases). An important role of Big data and a key fundament of its success is this capacity to discover and extract new knowledge beyond the original use of data, in order to learn, optimize processes and understand the hidden rules of our world. This works presents the different data models from standardization bodies such as IEEE PAR2530, ITU-T FG DPM, ETSI ISG CIM and oneM2M, W3C SSN, OMA LwM2M etc. An analysis and comparative among all of them and also the opportunities to link them in order to guarantee that we can obtain the major value through co-operation among cities and different departments. This work is contextualized in the principles from the Open and Agile smart Cites (OASC) and linked initiatives focused on data management cross-cities and large scale pilots.

关键词： smart cities data models Internet of things Semantics ETSI ISG CIM ITU-T oneM2M FIWARE Open and agile smart cities OASC

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international conference on Security with intelligent computing and Big-data Services, SICBS 2017

International Conference on Security with Intelligent Comput...

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international conference on Security with intelligent computing and Big-data Services, SICBS 2017

ISBN: (纸本)9783319764504

The proceedings contain 34 papers. The special focus in this conference is on Security with intelligent computing and Big-data Services. The topics include: Overlapping community detection with two-level expansion by local clustering coefficients;writing security specification with things that flow;automatically generating aspect taxonomy for E-commerce domains to assist sentiment mining;history management for network information of iot devices;a noise generation scheme based on huffman coding for preserving privacy;privacy-preserving outsource computing for binary vector similarity;strategies to improve auditing performance and soundness for cloud computation;reversible image steganography for color image quantization based on lossless index coding;capacity on demand steganography through adaptive threshold strategy;research on the nearest neighbor representation classification algorithm in feature space;shamir’s secret sharing scheme in parallel;A cognitive global clock synchronization protocol in WSNs;a generic web application testing and attack data generation method;the study of improvement and risk evaluation for mobile application security testing;Application of pattern for new CAPTCHA generation idea;an automatic approach of building threat patterns in android;Identifying temporal patterns using ADS in NTFS for digital forensics;ant-based botnet C&C server traceback;t-brain: a collaboration platform for data scientists;feature extraction in security analytics: reducing data complexity with apache spark;A new aesthetic QR code algorithm based on salient region detection and SPBVM;storage-saving bi-dimensional privacy-preserving data aggregation in smart grids;verifying the validity of public key certificates using edge computing;a study on blockchain-based circular economy credit rating system;a blockchain-based traceable certification system.

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AgroConsultant: intelligent Crop Recommendation System Using Machine Learning Algorithms 4

AgroConsultant: Intelligent Crop Recommendation System Using...

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4th international conference on computing Communication Control and Automation (ICCUBEA)

作者： Doshi, Zeel Nadkarni, Subhash Agrawal, Rashi Shah, Neepa Dwarkadas J Sanghvi Coll Engn Dept Informat Technol Mumbai Maharashtra India

ISBN: (纸本)9781538652572

Agriculture is a major contributor to the Indian economy. The mainstream Indian population depends either explicitly or implicitly on agriculture for their livelihood. It is, thus, irrefutable that agriculture plays a vital role in the country. A vast majority of the Indian farmers believe in depending on their intuition to decide which crop to sow in a particular season. They find comfort in simply following the ancestral farming patterns and norms without realizing the fact that crop output is circumstantial, depending heavily on the present-day weather and soil conditions. However, a single farmer cannot be expected to take into account all the innumerable factors that contribute to crop growth before reaching a consensus about which one to grow. A single misguided or imprudent decision by the farmer can have undesirable ramifications on both himself as well as the agricultural economy of the region. A combination of Big data analytics and Machine Learning can effectively help alleviate this issue. In this paper, we present an intelligent system, called AgroConsultant, which intends to assist the Indian farmers in making an informed decision about which crop to grow depending on the sowing season, his farm's geographical location, soil characteristics as well as environmental factors such as temperature and rainfall.

关键词： crop prediction machine learning crop recommendation system smart farming multi-label classification

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BigClue: Towards a generic IoT cross-domain data processing platform 14

BigClue: Towards a generic IoT cross-domain data processing ...

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14th IEEE international conference on intelligent Computer Communication and Processing (ICCP)

作者： Huru, Dan Leordeanu, Catalin Apostol, Elena Cristea, Valentin Univ Politehn Bucuresti Fac Automat Control & Comp Bucharest Romania

ISBN: (纸本)9781538684450

Initially IoT systems have been built as isolated solutions for each problem domain. This has implied a lack of standardization and interoperability. The global IoT vision aims to integrate distinct problem domains into a unified network in order to offer enriched context and meaningful correlations. Connecting global platforms with multiple IoT sensor networks will imply increased data processing requirements. In this paper we first present the main technical challenges and non-functional requirements demanded by a cross-domain IoT data processing platform. We then propose a cloud based data processing architecture that integrates a collection of suitable frameworks from existing state of the art work. In the end we validate the proposal with a reference implementation.

关键词： IoT data processing cross-domain platform big data cloud computing

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Traffic modelling, visualisation and prediction for urban mobility management 6th

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6th international Workshop on Combinations of intelligent Methods and Applications, CIMA 2016 held in conjunction with the 22nd European conference on Artificial Intelligence, ECAI 2016

作者： Maniak, Tomasz Iqbal, Rahat Doctor, Faiyaz Interactive Coventry Ltd Coventry University Technology Park Coventry United Kingdom Coventry University Coventry United Kingdom Coventry University CV1 5FB Coventry United Kingdom

ISBN: (纸本)9783319667898

smart city combines connected services from different disciplines offering a promise of increased efficiency in transport and mobility in urban environment. This has been enabled through many important advancements in fields like machine learning, big data analytics, hardware manufacturing and communication technology. Especially important in this context is big data which is fueling the digital revolution in an increasingly knowledge driven society by offering intelligence solutions for the smart city. In this paper, we discuss the importance of big data analytics and computational intelligence techniques for the problem of taxi traffic modelling, visualisation and prediction. This work provides a comprehensive survey of computational intelligence techniques appropriate for the effective processing and analysis of big data. A brief description of many smart city projects, initiatives and challenges in the UK is also presented. We present a hybrid data modelling approach used for the modelling and prediction of taxi usage. The approach introduces a novel biologically inspired universal generative modelling technique called Hierarchical Spatial-Temporal State Machine (HSTSM). The HSTSM modelling approach incorporates many soft computing techniques including: deep belief networks, auto-encoders, agglomerative hierarchical clustering and temporal sequence processing. A case study for the modelling and prediction of traffic based on taxi movements is described, where HSTSM is used to address the computational challenges arising from analysing and processing large volumes of varied data. © 2018, Springer international Publishing AG.

关键词： Big data

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