this paper introduces a new teaching tool for K-12 schools withthe aid to transfigure the way young peoples use of online data. the tool involves participators who don9;t have prior programming knowledge and wish ...
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ISBN:
(纸本)9781538644300
this paper introduces a new teaching tool for K-12 schools withthe aid to transfigure the way young peoples use of online data. the tool involves participators who don't have prior programming knowledge and wish to learn computational concepts as part of playing with online data. Computational thinking provides a way for solving many real-world problems that are not learned easily by using many existing tools. Map-Blocks is a software suite that combines the easy to use visual programming environment with easy to get started block shaped programming environment.
Industry 4.0 aims at highly flexible and digitized model of industrial production. this requires vertical integration of different operations in the manufacturing process to promote reconfigurability and better collab...
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Industry 4.0 aims at highly flexible and digitized model of industrial production. this requires vertical integration of different operations in the manufacturing process to promote reconfigurability and better collaboration between distributed components (Modularity Integrability) and to handle growing complexity in manufacturing systems. On the other hand, the flexibility of reconfiguration leads to new challenges for the testing process (i.e Diagnosability). It has now become a priority to quality assurance team to ensure that reconfiguration did not introduce any new faults, often referred to as Regression Testing. In this paper, we present a testing framework for real-time distributed manufacturing systems to verify reconfiguration correctness and to generate tests for its implementation testing. We present a systematic modeling refinement approach where several refinements (reconfigurations) can be modelled separately from an abstract model and composed with it. We use the reconfiguration model derived by refinements to demonstrate distributed regression testing by partitioning it into a set of distributed communicating testers making model based testing for manufacturing automation systems scalable. (C) 2019, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Cloud computing, an emerging technology in today9;s world is making a significant impact on sharing resources. An open-source platform OpenStack used for provisioning cloud environment is gaining tremendous popular...
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ISBN:
(纸本)9781538644300
Cloud computing, an emerging technology in today's world is making a significant impact on sharing resources. An open-source platform OpenStack used for provisioning cloud environment is gaining tremendous popularity. OpenStack introduces independent projects developed for providing specific services in the cloud. these services interact with each other to act as one cloud environment. the services are managed using commands and require knowledge of their usage. To make the management of the services more convenient OpenStack has designed and developed a user interface based project called Horizon. It is a web-based interface which interacts with other services to make them configurable and manageable through a dashboard. In this paper, we will discuss the present scenario of the services interacting with Horizon.
In metropolitan area, car drivers are unable to search the parking space during peak hour as well as in traffic congestion. Usage of cars has been increasing exponentially whereas car-parking places are not increased....
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ISBN:
(纸本)9781538644300
In metropolitan area, car drivers are unable to search the parking space during peak hour as well as in traffic congestion. Usage of cars has been increasing exponentially whereas car-parking places are not increased. Due to limited number car-parking places, parking problem is increasing rapidly. Searching for car parking space leads to various problem such as traffic congestion, environmental pollution and so on. the objective of this study is to identify efficient parking place near by the user with real time information about the parking spaces using cloud computing. this paper proposes an algorithm, which will identify best efficient route between user and parking place based on the real time traffic. the proposed algorithm helps user to identify parking place with least cost based on the distance and time needs to reach to parking place. the experiment result shows that proposed algorithm improves the user waiting time for identification of parking place with minimum cost.
the report presents an algorithmic approach to simulate electromagnetic fields in complex environments such as high density cities or areas with irregular topography. Many small reflecting and refracting objects, anis...
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ISBN:
(纸本)9781538644300
the report presents an algorithmic approach to simulate electromagnetic fields in complex environments such as high density cities or areas with irregular topography. Many small reflecting and refracting objects, anisotropic media of wave propagation may produce complex maps of coverage by electromagnetic signals. Large amounts of these objects may result in large amounts of computations needed to perform an accurate simulation. A common approach of averaging those irregularities into virtual macro objects may not always be applicable when a detailed coverage map is needed, e.g. to study effects of an electromagnetic transmitter to other transmissions or to health of population in urbanized areas. A parallel simulation algorithm was developed to mitigate those issues. Assessment of the efficiency of the algorithm and its implementation also presented in the article shows high occupancy of parallel computing units and almost linear speedup of such simulation with an increase of the total processors involved.
Recent developments in pedagogy have focused upon computational thinking. Computational thinking provides a way to solve the problem and it is a key practice of science education. the importance of computational think...
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ISBN:
(纸本)9781538644300
Recent developments in pedagogy have focused upon computational thinking. Computational thinking provides a way to solve the problem and it is a key practice of science education. the importance of computational thinking is rarely found in K-12 education. Computational thinking is a an important skill everyone needs and it is correlated with many other concepts. these factors have made the development of new tools and syllabus. In this paper, we aim to show the experiments of fractal geometry using MIT Scratch. these computational exercises facilitate to learn many of computational thinking skills that are very important for the people in the near future. Based on our experience with students, we claim that the concept of fractal and its implementation in MIT Scratch is the best practices to improve computational thinking in K-12 school level students.
In this paper, we present a browser-based, visual and media-rich programming platform for K-12 schools that allows novices to create complex 3D shapes. this provides an easy way for designers, architects, and artists ...
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ISBN:
(纸本)9781538644300
In this paper, we present a browser-based, visual and media-rich programming platform for K-12 schools that allows novices to create complex 3D shapes. this provides an easy way for designers, architects, and artists to imagine the development of an object. the word computation has received increased attention in today's world because of its applicability in all fields. this tool is very helpful for the user who doesn't have prior programming knowledge and they want to learn and apply the computational concepts as part of their design process. 'Building-Blocks' is a graphical programming language used for generation of 3D structures using computational algorithms. this helps to create personally meaningful projects: designing a model, getting the physical object from a model, sharing ideas and project activities with others in Building-Blocks community.
the proceedings contain 46 papers. the special focus in this conference is on Broadband Communications, Networks, and Systems. the topics include: Profile management system in ubiquitous healthcare cloud computing env...
ISBN:
(纸本)9783030051945
the proceedings contain 46 papers. the special focus in this conference is on Broadband Communications, Networks, and Systems. the topics include: Profile management system in ubiquitous healthcare cloud computing environment;a telemedicine application for remote diagnosis and assessment of mood disorders;e-SCP-ECG+v2 protocol: Expanding the e-SCP-ECG+ protocol;towards an autonomous host-based intrusion detection system for android mobile devices;machine learning to automate network segregation for enhanced security in industry 4.0;security framework for the semiconductor supply chain environment;a study on data dissemination techniques in heterogeneous cellular networks;towards reliable computation offloading in mobile Ad-hoc clouds using blockchain;CFDAMA-IS: MAC protocol for underwater acoustic sensor networks;Indoor positioning using adaptive KNN algorithm based fingerprint technique;Location-aware MAC scheduling in industrial-like environment;distributed fault-tolerant backup-placement in overloaded wireless sensor networks;hybrid spatial modulation scheme with arbitrary number of transmit antennas;spatial modulation or spatial multiplexing for mmWave communications?;Hardware implementation of generalized space modulation techniques using simulink RF blockset;a half-full transmit-diversity spatial modulation scheme;hardware implementation of space shift keying on a Xilinx Zynq platform;MoM-GEC analysis of Fraunhofer-region characteristics over rectangular aperture;Fast statistical modelling of temperature variation on 28 nm FDSOI technology;Design of compact printed monopole antenna with enhanced bandwidth and controllable filtering notch for UWB applications;modeling of sensor clouds under the sensing as a service paradigm;on the performance of acousto optical modulators–free space optical wireless communication systems over negative exponential turbulent channel;implementation of turbo code based xilinx system generator.
One of the promising field sectors of service provision turns out to be Cloud computing. It involves storing the user9;s data to be able to use the applications and services that the cloud introduces. One of these ...
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ISBN:
(纸本)9781538644300
One of the promising field sectors of service provision turns out to be Cloud computing. It involves storing the user's data to be able to use the applications and services that the cloud introduces. One of these risks that can attack the cloud computing is the integrity of the data stored in the cloud. Data Integrity Verification is one of the massive responsibilities of cloud data to reduce the participation in activities which manipulates the data of cloud users and providers. there are many ways to address this problem. Using Encryption and Decryption process for the data can solve the problem but it requires huge computing time and functional overheads. Applying data auditing can solve this problem. the main approach of this system is variant Paillier Homomorphic Cryptography (PHC) system with Homomorphic tag and combinatorial batch codes. Data Auditing consists of Provable Data Possession (PDP) and Proof of Retrievability (POR) techniques but these techniques have the limitations of queries. the Integrity Verification using the third Party Auditor in the Proposed Scheme states the solution for the manipulation of data. the experimental results show the effectiveness and efficiency of the proposed system.
Link Prediction problem aims to predict a link in a social network that could surface in future. Considering the similarities between connections and predicting a future connection on that basis has been a reliable te...
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Link Prediction problem aims to predict a link in a social network that could surface in future. Considering the similarities between connections and predicting a future connection on that basis has been a reliable technique. this paper proposes a new similarity measure for comparing the connections. Well-known similarity measures are combined together to create new powerful measure. the new measure has been tested on real world datasets and found to perform better than the existing measures.
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