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HiCon: a hierarchical context monitoring and composition framework for next-generation context-aware services

Kyungmin Cho, Inseok Hwang, Seungwoo Kang, Byoungjip Kim, Jinwon Lee, Sangjeong Lee, Souneil Park, Junehwa Song, Yunseok Rhee
2008 IEEE Network  
This paper presents a hierarchical context monitoring and composition framework that effectively supports next generation context aware services.  ...  The framework effectively deals with extensively broad spectrum of contexts, from tiny to worldwide in terms of scale, and from crude to highly delicate in terms of complexity.  ...  future battle fields instrumented with large-scale ubiquitous sensor networks.  ... 
doi:10.1109/mnet.2008.4579769 fatcat:7lozvyjacbb7jeszjh2zhqwlcy

Applying Log Data to Context-Awareness in Home Network System

Yuichi Watanabe, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura
2015 EAI Endorsed Transactions on Context-aware Systems and Applications  
In the conventional context-aware services of the home network system (HNS), every context has been defined by current (or recent) situations only.  ...  Considering past situations in a house would significantly extend the expressive power of the context-aware services.  ...  In this framework, a context is defined according to a format [context_name: context_expression].  ... 
doi:10.4108/casa.2.3.e3 fatcat:kansc4tusnhlricbgjevxmza5u

Toward real-time network-wide cyber situational awareness

Tomas Jirsik, Pavel Celeda
2018 NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium  
A Network-wide Cyber Situational Awareness (NwCSA) has been introduced to assist a network security administrator with network security.  ...  The challenges include the overload of raw data, low speed of reaction, and a lack of context and unified view on a network.  ...  , i.e. to achieve a situational awareness over a network.  ... 
doi:10.1109/noms.2018.8406166 dblp:conf/noms/JirsikC18 fatcat:i5it76wnargw3mwskb5e6rj2mu

Aspect Oriented Middleware for Internet of Things: A State-of-the Art Survey of Service Discovery Approaches

Senthil Balakrishnan, Arun Sangaiah
2015 International Journal of Intelligent Engineering and Systems  
Internet of Things refers to a paradigm consisting of a variety of uniquely identifiable day to day things communicating with one another to form a large scale dynamic network.  ...  The survey presented the findings in tabular representation and outlined the proposed aspect oriented middleware framework for IoT highlighting context awareness and solving certain pitfalls in the existing  ...  Simone Ciraniet. al [36] develop a automated service and resource discovery mechanism for large scale IoT networks.  ... 
doi:10.22266/ijies2015.1231.03 fatcat:7u7urjrjzrejjhuikvdq5f7m5q

Boundary-Aware Transformers for Skin Lesion Segmentation [chapter]

Jiacheng Wang, Lan Wei, Liansheng Wang, Qichao Zhou, Lei Zhu, Jing Qin
2021 Lecture Notes in Computer Science  
Recently, transformers have been proposed as a promising tool for global context modeling by employing a powerful global attention mechanism, but one of their main shortcomings when applied to segmentation  ...  We propose a novel boundary-aware transformer (BAT) to comprehensively address the challenges of automatic skin lesion segmentation.  ...  Conclusion We present a novel and efficient context-aware network, namely boundary-aware transformer (BAT) network, for accurate segmentation of skin lesion from dermoscopy images.  ... 
doi:10.1007/978-3-030-87193-2_20 fatcat:ya2h3civnbfhzdfvdrnov2oavi

Mobile big data analytics using deep learning and apache spark

Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-pink Tan, Zhu Han
2016 IEEE Network  
We use a context-aware activity recognition application with a real-world dataset containing millions of samples to validate our framework and assess its speedup effectiveness.  ...  This article presents an overview and brief tutorial of deep learning in MBD analytics and discusses a scalable learning framework over Apache Spark.  ...  We thank Ahmed Selim, Trinity College Dublin, for valuable discussions in the early stages of the study.  ... 
doi:10.1109/mnet.2016.7474340 fatcat:kmt2eywkuzb5fdp3q3biacr4uq

Architectural styles for opportunistic mobile communication

Davy Preuveneers, Ansar-Ul-Haque Yasar, Yolande Berbers
2008 Proceedings of the International Conference on Mobile Technology, Applications, and Systems - Mobility '08  
We address scalability for interactions in large-scale networks from a software architectural perspective and focus on event-driven service oriented architectures to make the design of context-aware systems  ...  for large-scale mobile interactions a less complex task.  ...  Later on we can see how these modeling tools simplify development for the large-scale networks.  ... 
doi:10.1145/1506270.1506326 dblp:conf/mobility/PreuveneersYB08 fatcat:uzoloqetwzcvrai6h7z4kotpga

REF: Enabling Rapid Experimentation of Contextual Network Traffic Management Using Software Defined Networking

Lyndon Fawcett, Mu Mu, Bruno Hareng, Nicholas Race
2017 IEEE Communications Magazine  
This paper contributes the design and operational guidelines for a Software-Defined Networking (SDN) experimentation framework (REF), which enables rapid evaluation of contextual networking designs using  ...  Two use case studies of a Quality of Experience (QoE)-aware resource allocation model, and a network-aware dynamic ACL demonstrate the effectiveness of REF in facilitating the design and validation of  ...  provide a means to create experiments at even greater scales without losing experiment rigor.  ... 
doi:10.1109/mcom.2017.1600507 fatcat:duyno5hqsjecxf2xp6n3jyklie

A novel cross-layer framework for large scale emergency communications

Vu San Ha Huynh, Milena Radenkovic
2017 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)  
We propose a novel integrated dynamic cross-layer distributed energy aware emergency framework, E 3 F, that spans large geographical areas and variable time ranges.  ...  This paper explores the problem of improving coverage and capacity of large-scale communication networks in disaster-struck areas.  ...  ACKNOWLEDGMENTS This work was supported in part by the FP7 "SelSus: Health Monitoring and Life-Long Capability Management for SELf-SUStaining Manufacturing Systems" project, 609382. VI. REFERENCES  ... 
doi:10.1109/iwcmc.2017.7986616 dblp:conf/iwcmc/HuynhR17 fatcat:2kvpltxxcjebjhfaexjtjbnxcu

Next Generation Middleware Technology for Mobile Computing

B. Darsana, Karabi Konar
2011 International journal of computer and communication technology  
Current advances in portable devices, wireless technologies, and distributed systems have created a mobile computing environment that is characterized by a large scale of dynamism.  ...  Diversities in network connectivity, platform capability, and resource availability can significantly affect the application performance.  ...  This kind of model is adequate for a local area network (LAN) with a small number of clients and servers, but it does not scale well to large networks like the Internet.  ... 
doi:10.47893/ijcct.2011.1074 fatcat:ji3glhkzynh4haroasjvchnrii

[Invited Paper] Content Scheduling and Adaptation for Networked and Context-Aware Digital Signage: A Literature Survey

Yukinobu Taniguchi
2018 ITE Transactions on Media Technology and Applications  
In this paper, we put our focus on the following two directions of DS development: (1) Networked DS: networking displays to form a large-scale open DS network that allows content providers to submit contents  ...  , and schedule, deliver, and display the contents at the right place and time, (2) Context-aware DS: displaying contents appropriate to the current status of people, places, and objects around the display  ...  Satoh 76) implemented content display and context collection functions in a mobile agent instead of centralized processing to support large-scale context-aware systems.  ... 
doi:10.3169/mta.6.18 fatcat:iubk75m3xrdrrartg7hayx3aau

An introduction to the special issue on cross-community mining

Bin Guo, Zhiwen Yu, Francisco Camara Pereira
2013 Personal and Ubiquitous Computing  
Conventional approaches to training classifiers struggle to cope with the diverse user populations routinely found in large-scale popular mobile applications.  ...  The proposed framework contains innovative mechanisms for cross-community context management, such as the estimation of community and cross-community context, the support for context inheritance across  ... 
doi:10.1007/s00779-013-0653-3 fatcat:5oirfzqd3zcyldgsckcyuimhq4

A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems

Minh-Son Dao, Siripen Pongpaichet, Laleh Jalali, Kyoungsook Kim, Ramesh Jain, Koiji Zettsu
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
EvIM includes two components (1) EventWarehouse: is built for harvesting, storing, and analysing data coming from large scale heterogeneous sensors, and (2) EventShop: plays as a real-time complex spatio-temporal  ...  Since data is not information, methods for discovering useful and correlative information from data and utilising them for the better life, in real-time mode, are the utmost requirements.  ...  ENRICH SITUATION AWARENESS AP-PLICATION: FROM TRILLIONS OF IN-FORMATION OBJECTS TO FOCUSED SITUATIONS The EventWarehouse developed by NICT, aims to gather large scale, heterogeneous sensor data from different  ... 
doi:10.1145/2578726.2578755 dblp:conf/mir/DaoPJKJZ14 fatcat:o6mg423d6zashi53ijcz2x6jza

Formation of Information Need as a Questioning: A Conceptual Representation for Semantic Web based QA System

Yongju Lee, Sung-Kwon Yang, Sueun Jang, Hong-Gee Kim
2017 Joint International Conference of Semantic Technology  
Questioning is a formation of information need where an asker is aware of an anomalous state of knowledge. Such awareness can only emerge when a user encounters to certain contextual circumstance.  ...  Such channels could potentially serve as a medium of personalized model for predicting, adjusting, and retrieving user's need of information.  ...  Without a "large networks of entities, their semantic types, properties, and relationships between entities", an 'input' aware question answering is an impracticable task [10] .  ... 
dblp:conf/jist/LeeYJK17 fatcat:symzy7kfdbgebdynijixfajz3u

nuQmm: Quantized MatMul for Efficient Inference of Large-Scale Generative Language Models [article]

Gunho Park, Baeseong Park, Se Jung Kwon, Byeongwook Kim, Youngjoo Lee, Dongsoo Lee
2022 arXiv   pre-print
In this paper, we propose an efficient inference framework for large-scale generative language models. As the key to reducing model size, we quantize weights by a non-uniform quantization method.  ...  Our proposed nuQmm reduces the latency of not only each GPU but also the entire inference of large LMs because a high compression ratio (by low-bit quantization) mitigates the minimum required number of  ...  Compared to the conventional scheme, our proposed group-wise BCQ provides a new wide search space for quantization formats to meet a target compression ratio.  ... 
arXiv:2206.09557v1 fatcat:afiffok3dbazdjuf4nxxxhg6k4
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