Compressive sensing based data gathering algorithm over unreliable links in WSN by Ce ZHANG, Xia ZHANG, Ou LI, Guan-lin MEI, Zhe HAN, Da-long ZHANG, Guang-yi LIU

Subjects: Get full text

Improved Generalized Sparsity Adaptive Matching Pursuit Algorithm Based on Compressive Sensing by Zhao Liquan, Ma Ke, Jia Yanfei

Get full text

Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

Subjects: “…non-contact environmental sensing…”
Get full text

A new band selection framework for hyperspectral remote sensing image classification by B. L. N. Phaneendra Kumar, Radhesyam Vaddi, Prabukumar Manoharan, L. Agilandeeswari, V. Sangeetha

Get full text

Integrated sensing and communication in reconfigurable intelligent surface systems: status, design and outlook by Xiaoling HU, Zhouyuan YU, Xiaowei QIAN, Mugen PENG

Subjects: “…integrated sensing and communication…”
Get full text

Mechanism design for crowd sensing with data reuse based on two-sided auction by Changkun JIANG, Lin GAO

Subjects: “…crowd sensing…”
Get full text

A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network by Jiezhuo Zhong, Wei Wu, Chunjie Cao, Wenlong Feng

“…Mobile crowd sensing (MCS) network collects scenario, environmental, and individual data within a specific range via the intelligent sensing equipment carried by the mobile users, thus providing social decision-making services. …”
Get full text

An efficient spectrum sensing of mixed kernel SVM based on sampling covariance matrix by Jianyuan NIE, Jianrong BAO, Bin JIANG, Chao LIU, Fang ZHU, Jianhai HE

“…In recent years,with the blind detection algorithms were proposed,more and more blind algorithms based on sampling covariance matrix were applied to spectrum sensing.The detection threshold was an approximation,and the detection performance would be affected for this algorithms.Thus,the mixed kernel function support vector machine (SVM) efficient spectrum sensing based on sampling covariance matrix was proposed.The statistics which were maximum minimum eigenvalue (MME) and covariance absolute value (CAV) of sensing signal sampling covariance matrices were used as the feature vectors of SVM and were trained to generate a spectrum sensing classifier.The advantage of this algorithm was that it needn’t calculate the detection threshold and the extraction of features reduces size of the sample set.The genetic algorithm (GA) was used to optimize the parameters of mixed kernel function SVM algorithm.The experimental results show that the proposed method has higher detection probability than MME and CAV algorithms,and has less sensing time than SVM,which has good practicability.…”
Get full text

Detecting shallow subsurface anomalies with airborne and spaceborne remote sensing: A review by Adam M. Morley, Tamsin A. Mather, David M. Pyle, J-Michael Kendall

Subjects: “…Remote sensing…”
Get full text

Application of compressive sensing techniques for advanced image processing and digital image transmission by Stefanović Nenad, Sazdić-Jotić Boban, Orlić Vladimir, Mladenović Vladimir, Ćirković Stefan

Subjects: “…sensing…”
Get full text

Electrochemical Sensing of Nicotine Using Laser-Induced Graphene Screen-Printed Electrode by Balqis Nurnadia Badrol Hisham, Rosminazuin Ab. Rahim, Anis Nurashikin Nordin, Aliza Aini Md Ralib, Nor Farahidah Za'bah, Lun Hao Tung, Zainiharyati Mohd Zain

“…The proposed electrochemical sensing of nicotine using a laser-induced graphene screen printed electrode can detect nicotine with high linearity at different pH levels of PBS buffer solution. …”
Get full text

Automatic Task Planning and Its On-Orbit Verification of Agile Remote Sensing Satellite by Zhang Yahang, Yang Haiyue, Yang Mengfei, Yang Ruochu, Leng Shuhang

“…An on-board autonomous task planning system is designed and implemented in this article, aiming at the problem that the current remote sensing satellite needs complex instruction support to perform tasks and depends on the ground system too much. …”
Get full text

RETRACTED: Forecasting the development dynamics of coastal systems utilizing remote sensing data by Protsenko S.V.

Get full text

Cooperative spectrum sensing scheme based on crowd trust and decision-making mechanism by Xiao-mao WANG, Chuan-he HUANG, Yi-long LV, Bin WANG, Xi-ying FAN, Hao ZHOU

Subjects: Get full text

Human activity recognition system based on active learning and Wi-Fi sensing by Guangzhi ZHAO, Zhipeng ZHOU, Wei GONG, Shaoqing CHEN, Haoquan ZHOU

“…Human activity recognition system based on deep learning and Wi-Fi sensing has gradually become the mainstream research field and has been developed in recent years.However, related systems heavily rely on training with huge labeled samples to reach a high accuracy, which is labor-intensive and unrealistic for many real-world scenarios.To solve this problem, a system that combines active learning with Wi-Fi based human activity recognition—ALSensing was proposed, which was able to train a well-perform classifier with limited labeled samples.ALSensing was implemented with commercial Wi-Fi devices and evaluated in six real environments.The experimental results show that ALSensing achieves 52.83% recognition accuracy using 3.7% of total training samples, 58.97% recognition accuracy using 15% of total training samples, while the existing full-supervised system reaches 62.19% recognition accuracy.It demonstrates that ALSensing has a similar performance with baseline but requires much less labeled samples.…”
Get full text

Energy efficient cooperative spectrum sensing algorithm in cognitive wireless sensor networks by Gui-cai YU, Cheng-zhi LONG, Man-tian XIANG

“…Then, the theory of sensing node selection and decision threshold setting, combined an effective cooperative spectrum sensing scheme based on decision nodes selection is researched. …”
Get full text

Weighted cooperative spectrum sensing algorithm based on dempster-shafer evidence theory by Ya-jian ZHOU, Kai LIU, Lin XIAO

Subjects: Get full text

Compressed Sensing Based on the Characteristic Correlation of ECG in Hybrid Wireless Sensor Network by Weiwei Li, Ting Jiang, Ning Wang

“…One of the features of WBAN is that its power consumption and sampling rate should be restricted to a minimum. Compressed sensing (CS) is an emerging signal acquisition/compression methodology which offers a prominent alternative to traditional signal acquisition. …”
Get full text

Detecting Subtle Signs of School Attendance Issues Using Smartphone-Based Sensing by Viktor Erdelyi, Teruhiro Mizumoto, Yuichiro Kitai, Daiki Ishimaru, Hiroyoshi Adachi, Teruo Higashino, Manabu Ikeda

Subjects: Get full text

Incremental cooperative spectrum sensing algorithm with n-out-of-K fusion rule by Xiao-ge ZHANG, Shi-bing ZHANG, Gong-an QIU

Subjects: Get full text