At present, one of the main issues of interest is climate change. It triggers calamitous phenomena (fires, hydrogeological instability and many others) that put crops, vegetation and even human beings at risk. Conside...
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ISBN:
(纸本)9781665426060
At present, one of the main issues of interest is climate change. It triggers calamitous phenomena (fires, hydrogeological instability and many others) that put crops, vegetation and even human beings at risk. Considering the phenomenon of hydrogeological instability, there is a wide range of smart application contexts (for example, smart city, smart road and smart agriculture), which require a real-time rainfall level monitoring, recognition and classification system. This system is supposed to provide accurate and real-time estimates of rain intensity and alert those in charge in order to reduce the risks associated with the various application contexts. Thus, the present paper proposes an audio sensor enabled real-time audio rainfall classification, based on 1-D convolutional neural network (CNN) which offers 95% classification accuracy in five rainfall intensity classes.
During a criminal investigation, the evidence collection process produces an enormous amount of data. These data are present in many medias that are extracted as crime evidences (USB flash drives, smartphones, hard dr...
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ISBN:
(纸本)9781728170220
During a criminal investigation, the evidence collection process produces an enormous amount of data. These data are present in many medias that are extracted as crime evidences (USB flash drives, smartphones, hard drives, computers, etc). Due to this data volume, the manual analysis is slow and costly. This work fulfills this gap by presenting a data extraction and processing platform for crime evidence analysis, named INSIDE. Our proposed platform leverages a lambda architecture and uses a set of tools and frameworks such as Hadoop HDFS, Kafka, Spark and Docker to analyze a big volume of data at an acceptable time. We also present an example of the proposed platform in use by the Public Ministry of Rio Grande do Norte(Brazil), where some evaluative tests have been carried out.
Reconfiguration capability in nowadays embedded systems such as Reconfigurable computing (RC) systems improves the execution of applications efficiently. However, the reconfiguration overhead in the mapping process of...
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In response to the national call of “food safety”, this paper introduces edge computing and block chain technology to design the agricultural super docking traceability system for fresh agricultural products. The sy...
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ISBN:
(纸本)9781665441506
In response to the national call of “food safety”, this paper introduces edge computing and block chain technology to design the agricultural super docking traceability system for fresh agricultural products. The system employs two-dimensional code, camera, temperature and humidity sensors and other terminal equipment to collect real-time data, including the detection data of fresh agricultural products, the information of processing and packaging fresh agricultural products, the status of fresh agricultural products during transportation. Edge computing technology is used to process edge information, alleviate the network transmission congestion and network delay of the traceability system. Blockchain technology is used to implement the safe storage tamper-resistant of data. Our research also carried out a traceability system construction of fresh agricultural products for a supermarket in Yucheng city.
Recently, the deployment of several exhaust fans for indoor cannot perform smoke suction ditributedly with the different exhaust fan speed according to the spread of smoke concentrations. It is because of the commerci...
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The past decade has witnessed numerous Routing design proposals for wireless multi-hop network specifically for Wireless sensor Network (WSN) and recently its allied Low Power, Lossy Networks (LLN) in the era of Inter...
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ISBN:
(纸本)9781728131870
The past decade has witnessed numerous Routing design proposals for wireless multi-hop network specifically for Wireless sensor Network (WSN) and recently its allied Low Power, Lossy Networks (LLN) in the era of Internet of Things (IoT). However, experimentation using sensor motes in real test-bed is limited as majority cater to simulation analysis. This work proposes and implements a Hybrid Opportunistic Routing (OR) design for Low Power, Lossy WSN. The routing protocol adopts opportunistic mode of forwarding as the first and last resort to improve end-to-end packet delivery ratio. The protocol switches to unicast mode for successive transmissions by relying on trust-worthy forwarder(s) until link-level transmission error occurs. The OR phases such as candidate selection, prioritization and coordination are carried out on the fly in a completely distributed online manner by eligible forwarders. These forwarder(s) computes its priority order based on cross-layered routing metrics in a fuzzy manner and collaborate via timer coordination with differentiated Back-off Exponent (BE) parameters assignment for packet forwarding. The real test-bed experimentation using ieee 802.15.4 compliant SENSEnuts platform recorded the lossy-link characteristics during range test measurements. The proposed hybrid OR showed improvement in end-to-end delivery rate with increase in hops and number of forwarding candidates per level compared to level based unicast routing.
In this paper, link selection for half-duplex buffer-aided relay systems is revisited. A new fixed scheduling policy referred as alternate distributed beamforming (ADB) is proposed, in which the relays are divided int...
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The major usage of a distributed block storage integrated with a cloud computing platform is to provide the storage for VM (virtual machine) instances. Traditional desktop and server applications tend to be written wi...
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ISBN:
(纸本)9781665408790
The major usage of a distributed block storage integrated with a cloud computing platform is to provide the storage for VM (virtual machine) instances. Traditional desktop and server applications tend to be written with small I/O being dominant, and in limited parallelism. Hence the performance of block storage serving these applications migrated to cloud is largely determined by latency of small I/O. This paper presents IndigoStore, an optimized Ceph backend to implement cloud-scale block storage that provides virtual disks for cloud VMs. The design of IndigoStore aims to optimize Ceph BlueStore backend, the state-of-the-art distributed storage backend, to reduce both average and tail latency of small I/O, meanwhile not waste disk bandwidth serving large I/O. We use both microbenchmarks and our production workloads to demonstrate that IndigoStore achieves 29%∼44 % lower average latency, and up to 1.23×lower 99.99 th percentile tail latency than BlueStore, without any notable negative effects on other performance metrics.
The proceedings contain 6 papers. The topics discussed include: scheduling across multiple applications using task-based programming models;DEMAC: a modular platform for HW-SW co-design;CODIR: towards an MLIR codelet ...
ISBN:
(纸本)9781665422765
The proceedings contain 6 papers. The topics discussed include: scheduling across multiple applications using task-based programming models;DEMAC: a modular platform for HW-SW co-design;CODIR: towards an MLIR codelet model dialect;MENPS: a decentralized distributed shared memory exploiting RDMA;RaDD runtimes: radical and different distributed runtimes with SmartNICs;DEMAC: a modular platform for HW-SW co-design;and CODIR: towards an MLIR Codelet model dialect.
Wireless sensor network (WSN) are exponentially used for data accusation and controlled monitoring for IOT applications called IOT-WSN. The major challenge in WSN design is to prolong the latency and overall network l...
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ISBN:
(纸本)9781665447539
Wireless sensor network (WSN) are exponentially used for data accusation and controlled monitoring for IOT applications called IOT-WSN. The major challenge in WSN design is to prolong the latency and overall network life time. This paper have addressed the parametric constrain optimization approach for enhancing the latency of the distributed clustering (DC) based protocol. This approach may leads to improved energy efficiency (EE) of IOT-WSN communication protocol. The prime goal of the paper is to identifications of the design constrains which can influence the latency performance of various existing WSN protocols. Paper initially aims to review the various data aggregation and clustering based WSN routing protocols. The impact of constrain variations over DEEC protocol are evaluated. The study with clustering and data aggregation based EE protocols viz. LEACH, PEGASIS, SEP, and DC variant are presented. Paper significantly contributes to present the impacts of design constrains for EE protocol in future to serve upcoming generation of IOT sensor networks.
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