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The Road Ahead for Architectural Languages

Patricia Lago, Ivano Malavolta, Henry Muccini, Patrizio Pelliccione, Antony Tang
2015 IEEE Software  
not use any modeling language for representing the software architecture of the system.  ...  Practitioners need new tools that create accessible architecture descriptions easily and pragmati- These requirements underpin the needs for an AL language to express an architecture model.  ...  All content will be reviewed for relevance and quality. Selected CS articles and columns are also available for free at http://ComputingNow.computer.org.  ... 
doi:10.1109/ms.2014.28 fatcat:7h7na46kkzcchgbowgvfokglhq

Standard Protocols for Heterogeneous P2P Vehicular Networks

Youssef Bassil
2019 International Journal of Trend in Scientific Research and Development  
language.  ...  This paper proposes several standard protocols and languages for P2P vehicular networks that are built using heterogeneous technologies and platforms.  ...  Acknowledgments This research was funded by the Lebanese Association for Computational Sciences (LACSC), Beirut, Lebanon, under the "Service-Oriented Architecture Smart Cities Research Project -SOASCRP2019  ... 
doi:10.31142/ijtsrd23025 fatcat:xnh25qfnubg4hmjtqg3rsktxbm

Keynote CSE 2010: Trends in Post-Petascale Computing

Mitsuhisa Sato
2010 2010 13th IEEE International Conference on Computational Science and Engineering  
For some years ahead, peta-scale high performance computing systems which have over peta-FLOPS performance, are being built and installed in US, Japan and Europe.  ...  Recently the International exascale software project (IESP) was organized to paves the road to the future exascale computing, as a consequence of Post-petascale researches.  ...  For some years ahead, peta-scale high performance computing systems which have over peta-FLOPS performance, are being built and installed in US, Japan and Europe.  ... 
doi:10.1109/cse.2010.81 dblp:conf/cse/Sato10 fatcat:gapiybo24ndy5mhwrlhyjcggsa

Metal-Level Control Architecture for Massively Multiagent Simulations

Shohei Yamane, Toru Ishida
2006 Proceedings of the 2006 Winter Simulation Conference  
We propose a meta-scenario description language and a meta-level control architecture.  ...  In addition, our proposed architecture does not lose scalability of massively multi-agent systems for some applications.  ...  The left window shows the user interface for the operator of the avatar. In this simulation, many agents are driving on a road grid, with one avatar driving straight along a road.  ... 
doi:10.1109/wsc.2006.323172 dblp:conf/wsc/YamaneI06 fatcat:2mhqc5vzmfdzrdhvqahexxixla

Extending Urban Multi-Lane Spatial Logic to Formalise Road Junction Rules

Maike Schwammberger, Gleifer Vaz Alves
2021 Electronic Proceedings in Theoretical Computer Science  
Our approach has an abstraction level for urban road junctions that could easily promote the formalisation of the whole set of road junction rules and we exemplarily formalise three of the UK road junction  ...  Once we have the whole set formalised, we will model, implement, and formally verify the behaviour of an AV against road traffic rules so that guidelines for the creation of a Digital Highway Code for  ...  However, for a Digital Highway Code that works for AVs, it is necessary to tackle the challenges of translating road traffic rules (written in natural language) into a language understandable for autonomous  ... 
doi:10.4204/eptcs.348.1 fatcat:gwbc5ot6q5aavmzoeelcq32h6u

A Situational Awareness Approach to Intelligent Vehicle Agents [chapter]

Vincent Baines, Julian Padget
2015 Lecture Notes in Mobility  
traffic vs agent vehicles) • Need for 'bad' behaviour -crashes, congestions waves INSTITUTIONAL FRAMEWORKS • Institutional Action Language (InstAL) describes: • Regulative (event-based) norms;  ...  If institution running, it will send obligation to vehicle ahead to change lane SCENARIO ONE -EVENTS AND VIDEO N.B.  ... 
doi:10.1007/978-3-319-15024-6_6 fatcat:v4ojdrzembhkxouwlfy6f3gl5m

A speech-based driver assisting module for Intelligent Transport System [article]

Himangshu Sarma, Navanath Saharia
2018 arXiv   pre-print
Additionally, during experiments, we developed a corpus of 250 images of traffic panels for two Indian languages.  ...  text area to editable text and the last module is responsible for transforming the text to speech.  ...  ACKNOWLEDGMENT The research reported in this paper has been supported by the TEQIP III.  ... 
arXiv:1810.13206v1 fatcat:ivhiudrghjgbloiznhacoiy52q

Research and Implementation of Road Traffic Sign IdentiFIcation System

Chien-Chung Wu, Shiue-Ling Wu
2019 Journal of network intelligence  
Secondly, the detected images could be classified by the convolutional neural network (CNN) classifier designed with GoogLeNet Network Architecture in TensorFlow library and Python program language.  ...  In the method, the collected road videos were divided into 12 regions to find out the non-traffic sign areas.  ...  Drivers and the blind can predict the road situation ahead by analyzing the detected and recognized results and avoid dangers.  ... 
dblp:journals/jni/WuW19 fatcat:uygqcbzaurbpxiel3k3gp6ssba

A proposed System for Vehicle-to-Vehicle Communication: Low Cost and Network Free Approach

Mohammed Ateeq Alanezi
2018 Indian Journal of Science and Technology  
Methods/Statistical Analysis: In this method, an LCD type display is installed at the back of a car for displaying the warning signs a driver has seen to the vehicle which is coming behind.  ...  A touch-enabled and a voice recognition devises are mounted on the dashboard for receiving the inputs from the driver of the vehicle which is connected a wireless transceiver, a microcontroller device  ...  7 DAMAGED ROAD Appearance of a damaged road 9 CROWDED Appearance of a busy road 9 CROSSING AHEAD Appearance of a crossing in the middle of the road 10 KEEP DISTANCE Encountered a forth  ... 
doi:10.17485/ijst/2018/v11i12/121337 fatcat:rnn6rruv4nhhxbkn4tik6xzg5q

Real-time natural language processing for crowdsourced road traffic alerts

C.D. Athuraliya, M.K.H. Gunasekara, Srinath Perera, Sriskandarajah Suhothayan
2015 2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)  
But still this crowdsourced traffic alert service has a limitation due to its nature; the natural language representation.  ...  We are trying to cope with this limitation by introducing a real time natural language processing solution to generate machine readable road traffic alerts.  ...  Fig. 1 : 1 Architecture of the solution 1) Real-time road traffic feed and geo location map 2) Traffic search within an area 3) Traffic alert subscription Fig. 4 : 4 Pipeline Fig. 2 : 2 Pipeline for  ... 
doi:10.1109/icter.2015.7377667 fatcat:oqva5wn3uja3he4sp4ma4g5ymu

Governance in Adaptive Normative Multiagent Systems for the Internet of Smart Things: Challenges and Future Directions [article]

Marx Viana, Lauro Caetano, Francisco Cunha, Paulo Alencar, Carlos Lucena
2018 arXiv   pre-print
However, governance is fundamental for solving problems involving MAS coordination, organizations and institutions.  ...  The rapidly changing environments in which companies operate to support the Internet of Things (IoT) and Autonomous Vehicles is challenging traditional Multi agent System (MAS) approaches.  ...  ahead.  ... 
arXiv:1812.04126v1 fatcat:japvmiqrvrfubonk63snowllkm

Publishing and Executing Parallel Legacy Code Using an OGSI Grid Service [chapter]

T. Delaitre, A. Goyeneche, T. Kiss, S. C. Winter
2004 Lecture Notes in Computer Science  
This paper presents the Grid Execution Management for Legacy Code Architecture (GEMLCA), and describes the progress and achievements of its implementation.  ...  This paper describes an architecture for publishing and executing parallel legacy code using an OGSI Grid service.  ...  Acknowledgements The authors wish to acknowledge the support and contributions of Damian Igbe, Agathocles Gourgoulis and Noam Weingarten in the traffic simulation aspects, and Kreeteeraj Sajadah and Alexandre  ... 
doi:10.1007/978-3-540-24709-8_4 fatcat:imw5dnbzufhktox6ddgsqj7y6m

Modeling Steering Using the Queueing Network — Model Human Processor (QN-MHP)

Omer Tsimhoni, Yili Liu
2003 Proceedings of the Human Factors and Ergonomics Society Annual Meeting  
The Queueing Network -Model Human Processor (QN-MHP) is a computational architecture that combines the mathematical theories and simulation methods of queueing networks (QN) with the symbolic and procedure  ...  Ongoing work further develops the model by expanding the scope of the driving task and by adding a concurrent secondary in-vehicle task.  ...  Computational models can make quantitative predictions for scenarios that have not been tested, and provide a precise common language for description of phenomena of interest.  ... 
doi:10.1177/154193120304701609 fatcat:6cmwyvz3gfa65mkwkb6ccpsfeq

A brief history of PRIDE

Z. Kootbally, C. Schlenoff, R. Madhavan
2007 Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems - PerMIS '07  
for planners at different levels within the hierarchy.  ...  This paper presents the chronology of the development of the PRIDE framework. We describe the different prediction algorithms developed for moving object predictions.  ...  For example, a road block at one kilometer ahead is less dangerous than another vehicle passing at three meters ahead. Examples of costs are shown in Table II . C.  ... 
doi:10.1145/1660877.1660882 fatcat:oizjpr3nwrh7xdedy5g3rduzp4

Workshop

Dennis Mancl, Steven D. Fraser, Bill Opdyke
2010 Proceedings of the ACM international conference companion on Object oriented programming systems languages and applications companion - SPLASH '10  
The combination of agile and architecture-driven approaches is often essential to success -it creates some opportunities for discovering potential problems early in the development cycle.  ...  Agility is important in the business world -but in many problem domains, architecture is valuable too.  ...  Architects often complain about agile teams -some issues related to lack of forward vision and feedback: • Most agile teams have trouble answering the question: "How much road do you have to pave ahead  ... 
doi:10.1145/1869542.1869617 dblp:conf/oopsla/ManclFO10 fatcat:r4miknxymnbmpe4saq7w52xxla
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