| 1. |
- Ali, Mai, et al.
(författare)
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Autonomous Patient/Home Health Monitoring powered by Energy Harvesting
- 2017
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Ingår i: Globecom 2017 - 2017 IEEE Global Communications Conference. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781509050192
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Konferensbidrag (refereegranskat)abstract
- This paper presents the design of an autonomous smart patient/home health monitoring system. Both patient physiological parameters as well as room conditions are being monitored continuously to insure patient safety. The sensors are connected on an IoT regime, where the collected data is wirelessly transferred to a nearby gateway which performs preliminary data analysis, commonly referred to as fog computing, to make sure emergency personnel and healthcare providers are notified in case patient being monitored is at risk. To achieve power autonomy three energy harvesting sources are proposed, namely, solar, RF and thermal. The design of the RF energy harvesting system is demonstrated, where novel multiband antenna is fabricated as well as an efficient RF-DC rectifier achieving maximum conversion efficiency of 84%. Finally, the sensor node is tested with different type of sensors and settings while being solely powered by a Photovoltaic (PV) solar cell.
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| 2. |
- Amin, Yasar, et al.
(författare)
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Green wideband RFID tag antenna for supply chain applications
- 2012
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Ingår i: IEICE Electronics Express. - : Institute of Electronics, Information and Communications Engineers (IEICE). - 1349-2543. ; 9:24, s. 1861-1866
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Tidskriftsartikel (refereegranskat)abstract
- In this paper, we demonstrate an RFID tag antenna manufactured by advanced inkjet printing technology on paper substrate using novel hole-matching technique for reducing the consumption of substrate material and conductive ink while attaining green RFID tags. In-depth electromagnetic analysis is performed methodologically for optimizing the parameters that effectuate the antenna dimensions. The antenna design is optimized for consistent wideband performance and extended read range throughout the complete UHF RFID band (860-960MHz), while exhibiting benchmarking results when n across cardboard cartons filled with metal or water containing objects.
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| 3. |
- Amin, Yasar, et al.
(författare)
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Performance-optimized Printed Wideband RFID Antenna and Environmental Impact Analysis
- 2024
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Ingår i: ETRI Journal. - Korea : ETRI. - 1225-6463 .- 2233-7326.
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Tidskriftsartikel (refereegranskat)abstract
- This paper presents performance optimized RFID tag antenna, developed by using commercially accessible paper substrates and advanced inkjet printing process to guarantee mechanical flexibility and ultra-low production costs. The proposed antenna structure can endure the variations which emerge in electromagnetic properties of paper substrate due to varying environmental effects. Hole-matching technique is implemented to eliminate the matching network for reducing the consumption of conductive ink. The proposed structure is uniquely evaluated by demonstrating, sustainability and environmental impact analysis that validate the potential for ultra-low cost mass production of RFID tags for future generation of organic electronics. The antenna performance is assessed for cardboard cartons exclusively containing metal cans and water bottles. The experimental characterization of the proposed antenna endorses the wider bandwidth to cover UHF RFID ISM band (860-960MHz), which empowers its usage throughout the globe for supply chain applications. The improved design effectuates return loss of better than -15dB over a wide frequency range while exhibiting outstanding readability from 10.1 meters.
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| 4. |
- Azimi, Iman, et al.
(författare)
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Internet of things for remote elderly monitoring : a study from user-centered perspective
- 2017
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Ingår i: Journal of Ambient Intelligence and Humanized Computing. - : SPRINGER HEIDELBERG. - 1868-5137 .- 1868-5145. ; 8:2, s. 273-289
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Tidskriftsartikel (refereegranskat)abstract
- Improvements in life expectancy achieved by technological advancements in the recent decades have increased the proportion of elderly people. Frailty of old age, susceptibility to diseases, and impairments are inevitable issues that these senior adults need to deal with in daily life. Recently, there has been an increasing demand on developing elderly care services utilizing novel technologies, with the aim of providing independent living. Internet of things (IoT), as an advanced paradigm to connect physical and virtual things for enhanced services, has been introduced that can provide significant improvements in remote elderly monitoring. Several efforts have been recently devoted to address elderly care requirements utilizing IoT-based systems. Nevertheless, there still exists a lack of user-centered study from an all-inclusive perspective for investigating the daily needs of senior adults. In this paper, we study the IoT-enabled systems tackling elderly monitoring to categorize the existing approaches from a new perspective and to introduce a hierarchical model for elderly-centered monitoring. We investigate the existing approaches by considering the elderly requirements at the center of the attention. In addition, we evaluate the main objectives and trends in IoT-based elderly monitoring systems in order to pave the way for future systems to improve the quality of elderly's life.
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| 5. |
- Ebrahimi, Masoumeh, et al.
(författare)
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Partitioning methods for unicast/multicast traffic in 3D NoC architecture
- 2010
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Ingår i: Proceedings of the 13th IEEE Symposium on Design and Diagnostics of Electronic Circuits and Systems, DDECS 2010. - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 127-132
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Konferensbidrag (refereegranskat)abstract
- As the scale of integration grows, the interconnection problem becomes one of the major design considerations of Multi Processor System on Chip (MPSoC). In recent years, many researchers have conducted studies on 3D IC designs stacking multiple layers on top of each other. In order to decrease the transmission delay of unicast/multicast messages in a network based multicore system, the network is divided into several partitions. In this paper, we first introduce a novel idea of balanced partitioning that allows the network to be partitioned effectively. Then, we propose a set of partitioning approaches each with a different level of efficiency. In addition, we present an advantageous method based on the idea of balanced partitioning to provide a high degree of parallelism with a considerable reduction of packet delay in unicast/multicast traffic. Simulations are provided to evaluate and compare the performance of proposed methods.
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| 6. |
- Ebrahimi, Masoumeh, et al.
(författare)
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Path-Based Partitioning Methods for 3D Networks-on-Chip with Minimal Adaptive Routing
- 2014
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Ingår i: IEEE Transactions on Computers. - 0018-9340 .- 1557-9956. ; 63:3, s. 718-733
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Tidskriftsartikel (refereegranskat)abstract
- Combining the benefits of 3D ICs and Networks-on-Chip (NoCs) schemes provides a significant performance gain in ChipMultiprocessors (CMPs) architectures. As multicast communication is commonly used in cache coherence protocols for CMPs and invarious parallel applications, the performance of these systems can be significantly improved if multicast operations are supported at thehardware level. In this paper, we present several partitioning methods for the path-based multicast approach in 3D mesh-based NoCs,each with different levels of efficiency. In addition, we develop novel analytical models for unicast and multicast traffic to explore theefficiency of each approach. In order to distribute the unicast and multicast traffic more efficiently over the network, we propose theMinimal and Adaptive Routing (MAR) algorithm for the presented partitioning methods. The analytical and experimental results show thatan advantageous method named Recursive Partitioning (RP) outperforms the other approaches. RP recursively partitions the networkuntil all partitions contain a comparable number of switches and thus the multicast traffic is equally distributed among several subsetsand the network latency is considerably decreased. The simulation results reveal that the RP method can achieve performanceimprovement across all workloads while performance can be further improved by utilizing the MAR algorithm. Nineteen percent averageand 42 percent maximum latency reduction are obtained on SPLASH-2 and PARSEC benchmarks running on a 64-core CMP.
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| 7. |
- Ebrahimi, Masoumeh, et al.
(författare)
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Performance Analysis of 3D NoCs Partitioning Methods
- 2010
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Ingår i: IEEE Annual Symposium on VLSI, ISVLSI 2010. ; , s. 479-480
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Konferensbidrag (refereegranskat)abstract
- 3D IC design improves performance and decreases power consumption by replacing long horizontal interconnects with short vertical ones. Achieving higher performance along with reducing the network latency can be obtained by utilizing an efficient communication protocol in 3D Networks-on-Chlp (NoCs). In this work, several unlcast/multicast partitioning methods are explained in order to And an advantageous method with low communication latency. Moreover, two factors of efficiency, unicast latency and multicast latency, are analyzed by analytical models. We also perform simulation to compare the efficiency of proposed methods. The results show that Mixed Partitioning method outperforms other methods in term of latency.
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| 8. |
- Farahnakian, Fahimeh, et al.
(författare)
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Adaptive Load Balancing in Learning-based Approaches for Many-core Embedded Systems
- 2014
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Ingår i: Journal of Supercomputing. - : Springer Science and Business Media LLC. - 0920-8542 .- 1573-0484. ; 68:3, s. 1214-1234
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Tidskriftsartikel (refereegranskat)abstract
- Adaptive routing algorithms improve network performance by distributingtraffic over the whole network. However, they require congestion information to facilitateload balancing. To provide local and global congestion information, we proposea learning method based on dual reinforcement learning approach. This informationcan be dynamically updated according to the changing traffic condition in the networkby propagating data and learning packets. We utilize a congestion detection methodwhich updates the learning rate according to the congestion level. This method calculatesthe average number of free buffer slots in each switch at specific time intervalsand compares it with maximum and minimum values. Based on the comparison result,the learning rate sets to a value between 0 and 1. If a switch gets congested, the learningrate is set to a high value, meaning that the global information is more important thanlocal. In contrast, local is more emphasized than global information in non-congestedswitches. Results show that the proposed approach achieves a significant performanceimprovement over the traditional Q-routing, DRQ-routing, DBAR and Dynamic XYalgorithms.
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| 9. |
- Farahnakian, Fahimeh, et al.
(författare)
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Bi-LCQ: A Low-weight Clustering-based Q-learning Approach for NoCs
- 2014
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Ingår i: Microprocessors and microsystems. - : Elsevier BV. - 0141-9331 .- 1872-9436. ; 38:1, s. 64-75
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Tidskriftsartikel (refereegranskat)abstract
- Network congestion has a negative impact on the performance of on-chip networks due to the increasedpacket latency. Many congestion-aware routing algorithms have been developed to alleviate trafficcongestion over the network. In this paper, we propose a congestion-aware routing algorithm basedon the Q-learning approach for avoiding congested areas in the network. By using the learning method,local and global congestion information of the network is provided for each switch. This information canbe dynamically updated, when a switch receives a packet. However, Q-learning approach suffers fromhigh area overhead in NoCs due to the need for a large routing table in each switch. In order to reducethe area overhead, we also present a clustering approach that decreases the number of routing tablesby the factor of 4. Results show that the proposed approach achieves a significant performance improvementover the traditional Q-learning, C-routing, DBAR and Dynamic XY algorithms.
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| 10. |
- Gia, Tuan Nguyen, et al.
(författare)
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IoT-Based Fall Detection System with Energy Efficient Sensor Nodes
- 2016
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Ingår i: 2016 2ND IEEE NORDIC CIRCUITS AND SYSTEMS CONFERENCE (NORCAS). - : IEEE conference proceedings. - 9781509010950
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Konferensbidrag (refereegranskat)abstract
- Fall needs to be attentively considered due to its highly frequent occurrence especially with old people - up to one third of 65 and above year-old people around the world are risk of being injured due to falling. Furthermore, fall is a direct or indirect factor causing severe traumas such as brain injuries or bone fractures. However, timely medical attention might help to avoid serious consequences from a fall. A viable solution to solve this is an IoT-based system which takes advantage of wireless sensor networks, wearable devices, Fog and Cloud computing. To deliver sufficient degree of reliability, wearable devices working at the core of a fall detection system, are required to work for prolonged period of time. In this paper we investigate energy consumption of sensor nodes in an IoT-based fall detection system and present a design of a customized sensor node. In addition, we compare the customized sensor node with other sensor nodes, built on general purpose development boards. The results show that sensor nodes based on delicate customized devices are more energy efficient than the others based on general purpose devices while considering identical specification of micro-controller and memory capacity. Furthermore, our customized sensor node with energy efficiency selections can operate continuously up to 35 hours.
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