Academic literature on the topic 'Presence-aware architecture'

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Journal articles on the topic "Presence-aware architecture"

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Cabarcos, Patricia Arias, Rosa Sanchez Guerrero, Florina Almenarez Mendoza, Daniel Diaz-Sanchez, and Andres Marin Lopez. "FamTV: An architecture for presence-aware personalized television." IEEE Transactions on Consumer Electronics 57, no. 1 (February 2011): 6–13. http://dx.doi.org/10.1109/tce.2011.5735473.

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Lu, Bingqian, Jianyi Yang, Weiwen Jiang, Yiyu Shi, and Shaolei Ren. "One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search." Proceedings of the ACM on Measurement and Analysis of Computing Systems 5, no. 3 (December 14, 2021): 1–34. http://dx.doi.org/10.1145/3491046.

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Convolutional neural networks (CNNs) are used in numerous real-world applications such as vision-based autonomous driving and video content analysis. To run CNN inference on various target devices, hardware-aware neural architecture search (NAS) is crucial. A key requirement of efficient hardware-aware NAS is the fast evaluation of inference latencies in order to rank different architectures. While building a latency predictor for each target device has been commonly used in state of the art, this is a very time-consuming process, lacking scalability in the presence of extremely diverse devices. In this work, we address the scalability challenge by exploiting latency monotonicity --- the architecture latency rankings on different devices are often correlated. When strong latency monotonicity exists, we can re-use architectures searched for one proxy device on new target devices, without losing optimality. In the absence of strong latency monotonicity, we propose an efficient proxy adaptation technique to significantly boost the latency monotonicity. Finally, we validate our approach and conduct experiments with devices of different platforms on multiple mainstream search spaces, including MobileNet-V2, MobileNet-V3, NAS-Bench-201, ProxylessNAS and FBNet. Our results highlight that, by using just one proxy device, we can find almost the same Pareto-optimal architectures as the existing per-device NAS, while avoiding the prohibitive cost of building a latency predictor for each device.
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Fogarty, James, Jennifer Lai, and Jim Christensen. "Presence versus availability: the design and evaluation of a context-aware communication client." International Journal of Human-Computer Studies 61, no. 3 (September 2004): 299–317. http://dx.doi.org/10.1016/j.ijhcs.2003.12.016.

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Sherazi, Hafiz Husnain Raza, Zuhaib Ashfaq Khan, Razi Iqbal, Shahzad Rizwan, Muhammad Ali Imran, and Khalid Awan. "A Heterogeneous IoV Architecture for Data Forwarding in Vehicle to Infrastructure Communication." Mobile Information Systems 2019 (February 3, 2019): 1–12. http://dx.doi.org/10.1155/2019/3101276.

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The Internet of vehicles (IoV) is a newly emerged wave that converges Internet of things (IoT) into vehicular networks to benefit from ubiquitous Internet connectivity. Despite various research efforts, vehicular networks are still striving to achieve higher data rate, seamless connectivity, scalability, security, and improved quality of service, which are the key enablers for IoV. It becomes even more critical to investigate novel design architectures to accomplish efficient and reliable data forwarding when it comes to handling the emergency communication infrastructure in the presence of natural epidemics. The article proposes a heterogeneous network architecture incorporating multiple wireless interfaces (e.g., wireless access in vehicular environment (WAVE), long-range wireless fidelity (WiFi), and fourth generation/long-term evolution (4G/LTE)) installed on the on-board units, exploiting the radio over fiber approach to establish a context-aware network connectivity. This heterogeneous network architecture attempts to meet the requirements of pervasive connectivity for vehicular ad hoc networks (VANETs) to make them scalable and adaptable for IoV supporting a range of emergency services. The architecture employs the Best Interface Selection (BIS) algorithm to always ensure reliable communication through the best available wireless interface to support seamless connectivity required for efficient data forwarding in vehicle to infrastructure (V2I) communication successfully avoiding the single point of failure. Moreover, the simulation results clearly argue about the suitability of the proposed architecture in IoV environment coping with different types of applications against individual wireless technologies.
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Litz, Heiner, Javier Gonzalez, Ana Klimovic, and Christos Kozyrakis. "RAIL: Predictable, Low Tail Latency for NVMe Flash." ACM Transactions on Storage 18, no. 1 (February 28, 2022): 1–21. http://dx.doi.org/10.1145/3465406.

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Flash-based storage is replacing disk for an increasing number of data center applications, providing orders of magnitude higher throughput and lower average latency. However, applications also require predictable storage latency. Existing Flash devices fail to provide low tail read latency in the presence of write operations. We propose two novel techniques to address SSD read tail latency, including Redundant Array of Independent LUNs (RAIL) which avoids serialization of reads behind user writes as well as latency-aware hot-cold separation (HC) which improves write throughput while maintaining low tail latency. RAIL leverages the internal parallelism of modern Flash devices and allocates data and parity pages to avoid reads getting stuck behind writes. We implement RAIL in the Linux Kernel as part of the LightNVM Flash translation layer and show that it can reduce read tail latency by 7× at the 99.99th percentile, while reducing relative bandwidth by only 33%.
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Farsa, Moeid, Mahdiye Jahri, and Mehdi Alirezai. "Solidification of the Sense of Eminency by Distraction of Light and Shadow at Sheikh Lotfollah Mosque." Current World Environment 10, Special-Issue1 (June 28, 2015): 208–14. http://dx.doi.org/10.12944/cwe.10.special-issue1.27.

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Architecture and light are to that extent dependent on each other which body and spirits are.One for living and the other for physical presence in this world needs the other and while light is flown on the body of the space both two perceptible worlds become “ existed “.Since long ago, bright and shimmering materials which remind something living in the mind of individual were respectable and adorable. Being aware of the process of exploitation of sunlight is of importance as much as the process of materials formation or different fundamental forms of construction in order to design. Almost in all religions, light is the symbol of Devine wisdom and the Essene of all beneficence and purities and mobility from darkness to light, was considered as the main objective. Islamic Mosques which are ornamented with light are perfectly able to transmit this divine and moral sense. In such spaces which are lighten up with a shimmering light and by observance of the imprecise shadows of substances and masses, individual starts to complete the pictures in his mind and by such an activity gets in to an ecstasy and as a result a feeling of getting close to the source of existence and reality wakens up inner inside him. The present survey by depending on descriptive-analytic methods, studies light in Islamic and traditional architecture. This paper by case study of Sheikh Lotfollah Mosque, aims to find out whether the presence of light and specifically natural light in architecture might have further meaning rather than brightness, and whether accessing an accurate pattern of application of light is possible or there is basically no compulsion in it ?
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Maity, Srijeeta, Anirban Ghose, Soumyajit Dey, and Swarnendu Biswas. "Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–28. http://dx.doi.org/10.1145/3477028.

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Recent trends in real-time applications have raised the demand for high-throughput embedded platforms with integrated CPU-GPU based Systems-On-Chip (SoCs). The enhanced performance of such SoCs, however, comes at the cost of increased power consumption, resulting in significant heat dissipation and high on-chip temperatures. The prolonged occurrences of high on-chip temperature can cause accelerated in-circuit ageing, which severely degrades the long-term performance and reliability of the chip. Violation of thermal constraints leads to on-board dynamic thermal management kicking-in, which may result in timing unpredictability for real-time tasks due to transient performance degradation. Recent work in adaptive software design have explored this issue from a control theoretic stand-point, striving for smooth thermal envelopes by tuning the core frequency. Existing techniques do not handle thermal violations for periodic real-time task sets in the presence of dynamic events like change of task periodicity, more so in the context of heterogeneous SoCs with integrated CPU-GPUs. This work presents an OpenCL runtime extension for thermal-aware scheduling of periodic, real-time tasks on heterogeneous multi-core platforms. Our framework mitigates dynamic thermal violations by adaptively tuning task mapping parameters, with the eventual control objective of satisfying both platform-level thermal constraints and task-level deadline constraints. We consider multiple platform-level control actions like task migration, frequency tuning and idle slot insertion as the task mapping parameters. To the best of our knowledge, this is the first work that considers such a variety of task mapping control actions in the context of heterogeneous embedded platforms. We evaluate the proposed framework on an Odroid-XU4 board using OpenCL benchmarks and demonstrate its effectiveness in reducing thermal violations.
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Akinleye, Adesola. "‘[...] wind in my hair, I feel a part of everywhere [...]’: Creating dance for young audiences narrates emplacement." Journal of Dance & Somatic Practices 11, no. 1 (July 1, 2019): 39–47. http://dx.doi.org/10.1386/jdsp.11.1.39_1.

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This article is a reflection from a moment during the tour of my performance work for young audiences – Found. I explore how the meaningfulness shared in the moments dancing together captures much broader narratives about the transformative connections of Being-in-Place: emplacement. I respond to Sarah Pink’s call to explore bodily experiences through emplacement. Therefore, I use emplacement as a lens to theorize experiences during the practical performance work of Found, beyond the visual aesthetic of seeing live dance. This articulating and valuing the significance of where Self begins, or ends or is continuous in environment shares somatic inquiry with colleagues in architecture, social sciences and geography. I suggest ramifications on how dance offers corporeal dialogue that can empower children to take part in, and become aware of, their own presence in the co-created reality of Place.
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Sybis, Michał, Paweł Kryszkiewicz, and Paweł Sroka. "On the Context-Aware, Dynamic Spectrum Access for Robust Intraplatoon Communications." Mobile Information Systems 2018 (June 3, 2018): 1–16. http://dx.doi.org/10.1155/2018/3483298.

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Vehicle platooning is a promising technology that allows to improve the traffic efficiency and passengers safety. Platoons that use cooperative adaptive cruise control, however, require a reliable radio link between platoon members to ensure a required distance between the cars within the platoon, thus maintaining platoon safety. Nowadays, the communication can be realized with the use of 802.11p or cellular vehicle-to-vehicle (C-V2V), but none of this technology is able to provide a reliable link especially in the presence of high traffic or urban scenarios. Therefore, in this paper, we propose a dynamic spectrum management mechanism in V2V communications for platooning purposes. A management system architecture is proposed that comprises the use of context-aware databases, sensing nodes, and spectrum allocation entity. The proposed robust system design aims to keep only the minimum necessary information transmitted over the conventional intelligent transportation system (ITS) channel, while moving the remaining data (nonsafety, service-aided, or infotainment) to an alternative channel that is selected from the available pool of spectrum white spaces. The initial analysis indicates that the proposed system may significantly improve the performance of wireless communications for the purpose of vehicle platooning.
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WU, JIGANG, YUANBO ZHU, ZHIPENG NIU, and THAMBIPILLAI SRIKANTHAN. "CONSTRUCTING LOW-TEMPERATURE SUB-ARRAYS ON RECONFIGURABLE VLSI ARRAYS." Journal of Circuits, Systems and Computers 23, no. 05 (May 8, 2014): 1450067. http://dx.doi.org/10.1142/s0218126614500674.

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Increasing temperatures of the processing elements (PEs) on VLSI may threaten the reliability and performance of a hard real-time system. This paper presents a temperature-aware algorithm to reconfigure two-dimensional VLSI arrays in the presence of faulty PEs. Based on dynamic programming, the proposed algorithm constructs each logical column with the lowest temperature for a cool target array on a given processor array. In addition, the lower bound of the temperatures of the cool target array has been established. Simulation results show that the temperatures of target array are reduced without loss of harvest in comparison to the state-of-the-art. Moreover, the produced peak temperature of cool target array is pretty close to the lower bound.
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Book chapters on the topic "Presence-aware architecture"

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Schmidt, Andreas. "Impact of context-awareness on the architecture of learning support systems." In Architecture Solutions for E-Learning Systems, 306–19. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-633-4.ch016.

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Recently, the situatedness of learning has come to the center of attention in both research and practice, also a result of the insight that traditional learning methods in the form of large decontextualized courses lead to inert knowledge; i.e., knowledge that can be reproduced, but not applied to real-world problem solving. In order to avoid the inertness, pedagogy tries to set up authentic learning settings, an approach increasingly shared in e-learning domain. If we consider professional training, it is the immediacy of purpose and context that makes it largely different to learning in schools or academic education. This immediacy has the benefit that we actually have an authentic context that we need to preserve. The majority of current e-learning approaches, however, ignores this context and provides decontextualized forms of learning as a multimedia copy of traditional presence seminars. We show how making learning solutions aware of the context actually affects their architecture and present a showcase solution in the form of the Learning in Process service-oriented architecture.
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Pantazoglou, Michael, George Athanasopoulos, Aphrodite Tsalgatidou, and Pigi Kouki. "Distributed and Adaptive Business Process Execution." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 44–75. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6178-3.ch003.

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Centralized business process execution engines are not adequate to guarantee smooth process execution in the presence of multiple, concurrent, long-running process instances exchanging voluminous data. In the centralized architecture of most BPEL engine solutions, the execution of BPEL processes is performed in a closed runtime environment where process instances are isolated from each other, as well as from any other potential sources of information. This prevents processes from finding relative data at runtime to adapt their behavior in a dynamic manner. The goal of this chapter is to present a solution for the performance improvement of BPEL engines by using a distributed architecture that enables the scalable execution of service-oriented processes, while also supporting their data-driven adaptation. The authors propose a decentralized BPEL engine architecture using a hypercube peer-to-peer topology with data-driven adaptation capabilities that incorporates Artificial Intelligence (AI) planning and context-aware computing techniques to support the discovery of process execution paths at deployment time and improve the overall throughput of the execution infrastructure. The proposed solution is part of the runtime infrastructure that was developed for the environmental science industry to support the efficient execution and monitoring of service-oriented environmental science models.
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Jamnal, Gopal Singh, Xiaodong Liu, Lu Fan, and Muthu Ramachandran. "Cognitive Internet of Everything (CIoE)." In Securing the Internet of Things, 1212–38. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9866-4.ch055.

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In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not rely on the users' instructions (Wanglei, 2015). The ambient intelligence is a sensational new information technology paradigm in which people are empowered for assisted living through multiple IoTs sensors environment that are aware of inhabitant presence and context and highly sensitive, adaptive and responsive to their needs. A noble ambient intelligent environment are characterized by their ubiquity, transparency and intelligence which seamlessly integrated into the background and invisible to surrounded users/inhabitant. Cognitive IoE (Internet of Everything) is a new type of pervasive computing. As the ambient smart home is into research only from a couple of years, many research outcomes are lacking potentials in ambient intelligence and need to be more dug around for better outcomes. As a result, an effective architecture of CIoE for ambient intelligent space is missing in other researcher's work. An unsupervised and supervised methods of machine learning can be applied in order to classify the varied and complex user activities. In the first step, by using fuzzy set theory, the input dataset value can be fuzzified to obtain degree of membership for context from the physical layer. In the second step, using K-pattern clustering algorithms to discover pattern clusters and make dynamic rules based on identified patterns. This chapter provides an overview, critical evaluation of approaches and research directions to CIoE.
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Jamnal, Gopal Singh, Xiaodong Liu, Lu Fan, and Muthu Ramachandran. "Cognitive Internet of Everything (CIoE)." In Emerging Trends and Applications of the Internet of Things, 277–309. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2437-3.ch010.

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In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart space environment and an excellent smart home control system should not rely on the users' instructions (Wanglei, 2015). The ambient intelligence is a sensational new information technology paradigm in which people are empowered for assisted living through multiple IoTs sensors environment that are aware of inhabitant presence and context and highly sensitive, adaptive and responsive to their needs. A noble ambient intelligent environment are characterized by their ubiquity, transparency and intelligence which seamlessly integrated into the background and invisible to surrounded users/inhabitant. Cognitive IoE (Internet of Everything) is a new type of pervasive computing. As the ambient smart home is into research only from a couple of years, many research outcomes are lacking potentials in ambient intelligence and need to be more dug around for better outcomes. As a result, an effective architecture of CIoE for ambient intelligent space is missing in other researcher's work. An unsupervised and supervised methods of machine learning can be applied in order to classify the varied and complex user activities. In the first step, by using fuzzy set theory, the input dataset value can be fuzzified to obtain degree of membership for context from the physical layer. In the second step, using K-pattern clustering algorithms to discover pattern clusters and make dynamic rules based on identified patterns. This chapter provides an overview, critical evaluation of approaches and research directions to CIoE.
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Conference papers on the topic "Presence-aware architecture"

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Salehi, Hadi, Rigoberto Burgueño, Saptarshi Das, Subir Biswas, and Shantanu Chakrabartty. "Localized Damage Identification of Plate-Like Structures With Time-Delayed Binary Data From a Self-Powered Sensor Network." In ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/smasis2017-3941.

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Recent advances in energy harvesting technologies have led to the development of self-powered monitoring techniques that are energy-efficient. This study presents an intelligent damage identification strategy for plate-like structures based on the data provided by a network of self-powered sensors that communicate through a pulse switching protocol, which has been demonstrated as an effective means for minimizing communication energy demands. The energy-aware pulse switching communication architecture uses single pulses instead of multi-bit packets for information delivery, resulting in discrete binary data. A system employing such an energy-efficient technology requires dealing with power budgets for sensing and communication of binary data, which leads to time delay constraints. In this paper, a novel machine learning framework incorporating low-rank matrix decomposition, pattern recognition, and a statistical approach is proposed to overcome challenges inherent in algorithm design for damage identification using time-delayed binary data. Performance and effectiveness of the proposed energy-aware damage identification strategy was examined for the case of a dynamically loaded plate. Damage states were simulated on a finite element model by reducing stiffness in a region of the plate. Results show that the presence and location of the damage can be effectively identified even with noisy features and missing data. The performance and applicability of the proposed localized damage detection strategy for plate-like structures using discrete time-delayed binary data from a novel wireless sensor network is thus demonstrated.
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Itradat, A., M. O. Ahmad, and Ali Shatnawi. "Delay and sampling-rate aware architectural synthesis in presence of communication overhead." In 2008 Joint International IEEE Northeast Workshop on Circuits and Systems (NEWCAS) and TAISA Conference (NEWCAS-TAISA). IEEE, 2008. http://dx.doi.org/10.1109/newcas.2008.4606386.

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