Výsledky vyhľadávania - Multi-modal Sensor Data Fusion in Internet of Things

An IoT-based task scheduling optimization scheme considering the deadline and cost-aware scientific workflow for cloud computing Autor Ma, Xiaojin, Gao, Honghao, Xu, Huahu, Bian, Minjie

“…Large-scale applications of Internet of things (IoT), which require considerable computing tasks and storage resources, are increasingly deployed in cloud environments…”
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Link prediction in paper citation network to construct paper correlation graph Autor Liu, Hanwen, Kou, Huaizhen, Yan, Chao, Qi, Lianyong

“…Nowadays, recommender system has become one of the main tools to search for users’ interested papers. Since one paper often contains only a part of keywords…”
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A dynamic taint tracking optimized fuzz testing method based on multi-modal sensor data fusion Autor Li, Qianmu, Liu, Yaozong, Meng, Shunmei, Zhang, Hanrui, Shen, Haiyuan, Long, Huaqiu

“…The safety of the Industrial Internet Control Systems has been a hotspot in the information security…”
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Delay and energy-efficient data collection scheme-based matrix filling theory for dynamic traffic IoT Autor Xiang, Xuemei, Liu, Wei, Wang, Tian, Xie, Mande, Li, Xiong, Song, Houbing, Liu, Anfeng, Zhang, Guoping

“… The goal of multi-modal sensor data fusion is to obtain simple and accurate data to enhance system reliability and fault tolerance…”
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Deterministic cooperative hybrid ring-mesh network coding for big data transmission over lossy channels in 5G networks Autor Attar, Hani H., Solyman, Ahmad A. A., Alrosan, Ayat, Chakraborty, Chinmay, Khosravi, Mohammad R.

“…Wired and wireless communication data is getting bigger and bigger at such a high pace…”
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A time-efficient data offloading method with privacy preservation for intelligent sensors in edge computing Autor Xu, Zhanyang, Liu, Xihua, Jiang, Gaoxing, Tang, Bowei

“…, are leveraged to collect the data around us. The data collected by the sensors is analyzed, and the corresponding measures will be implemented…”
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A driver’s car-following behavior prediction model based on multi-sensors data Autor Wang, Hui, Gu, Menglu, Wu, Shengbo, Wang, Chang

“… (CAN) bus data, to acquire…”
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Efficient payload communications for IoT-enabled ViSAR vehicles using discrete cosine transform-based quasi-sparse bit injection Autor Khosravi, Mohammad R., Samadi, Sadegh

“… Among different remote sensing imaging systems, video synthetic aperture radar (ViSAR) is a new technology with lots of principal and managerial data which should be compressed, aggregated, and communicated from a radar platform…”
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Time series behavior modeling with digital twin for Internet of Vehicles Autor Zhang, Tianle, Liu, Xiangtao, Luo, Zongwei, Dong, Fuqiang, Jiang, Yu

“…Electric vehicle (EV) is considered eco-friendly with low carbon emission and maintenance costs. Given the current battery and charging technology, driving…”
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Data compression in ViSAR sensor networks using non-linear adaptive weighting Autor Khosravi, Mohammad R., Samadi, Sadegh

“… A main challenge of a group of networked ViSAR sensors in an IoT-based environment is low bandwidth of wireless links for communicating big video data…”
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RSST-ARGM: a data-driven approach to long-term sea surface temperature prediction Autor Zhu, Linqian, Liu, Qi, Liu, Xiaodong, Zhang, Yonghong

“… SST variation in a long time span. By studying the Grey systematic relationship between historical SST data, the model obtains the development law of temperature variation, and further introduces different greenhouse gas emission…”
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An efficient storage and service method for multi-source merging meteorological big data in cloud environment Autor Yang, Ming, He, Wenchun, Zhang, Zhiqiang, Xu, Yongjun, Yang, Heping, Chen, Yufeng, Xu, Xiaolong

“…With the development of the meteorological IoT (Internet of Things) and meteorological sensing network, the collected multi-source meteorological data…”
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Camshift tracking method based on correlation probability graph for model pig Autor Zhang, Xiangnan, Gong, Wenwen, He, Qifeng, Xiang, Haolong, Li, Dan, Wang, Yawei, Chen, Yifei, Liu, Yongtao

“… Technically, acquiring images through a vision sensor, according to the circular arrangement of pixels in the inverse probability projection graph, and multiplying the inverse projection probability…”
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Pulse deinterleaving based on fusing PDWs and PRI extraction process for radar-assisted edge devices considering computational costs Autor Hasani, Hamid, Khosravi, Mohammad R.

“…Deinterleaving or radar pulse separation is a very important goal in terms of radar sources for identifying and implementing electronic warfare systems. In…”
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Ingredients to enhance the performance of two-stage TCAM-based packet classifiers in internet of things: greedy layering, bit auctioning and range encoding Autor Abbasi, Mahdi, Vakilian, Shakoor, Fanian, Ali, Khosravi, Mohammad R.

“…Using packet classification algorithms in network equipment increases packet processing speed in Internet of Things (IoT…”
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A hybrid approach to inferring the Internet of Things for complex activity recognition Autor Li, Qingjuan, Ning, Huansheng, Zhu, Tao, Cui, Shan, Chen, Liming

“…With the rapid development and large-scale uptake of the Internet of Things, smart home is evolving from a vision towards a realistically viable solution for assisted living…”
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A simulation method of three-dimensional cloud over WRF big data Autor Xie, Yonghua, Kou, Xiaoyong, Li, Ping

“… than before. In order to observe the changing climate environment accurately, multi-modal sensors are used to collect the various data around us, and we could analyze and predict the weather based on these collected data…”
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A collaborative service resource evaluation model based on trust network Autor Shi, Jiantao, Liu, Likun, Yu, Xiangzhan, Lu, Hui

“…In the era of the 5G network, network traffic grows rapidly. Edge computing will face the challenges of high bandwidth, low latency, high reliability and other…”
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Airport capacity evaluation based on air traffic activities big data Autor Wan, Lili, Peng, Qiuping, Tian, Yong, Gao, Lei, Ye, Bojia

“…In order to evaluate the airport's comprehensive service capabilities, this paper considers the impact of air quality and noise on the airport environment under the big data of air traffic activities…”
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Learning deep networks with crowdsourcing for relevance evaluation Autor Wu, Ming, Yin, Xiaochun, Li, Qianmu, Zhang, Jing, Feng, Xinqi, Cao, Qi, Shen, Haiyuan

“… It first merges two kinds of heterogeneous data (i.e., image and query text) and constructs a CNN-like deep neural network…”
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