An environment adaptive gesture recognition system based on visible light by Zhu WANG, Hualei ZHANG, Qianhong HU, Zhiwen YU

“…Gesture-based human-machine interaction is becoming more and more important, which can provide users with a better experience in scenarios such as video games and virtual reality.In recent years, researchers have explored different sensing technologies to facilitate gesture recognition, including RF signal, acoustic signal, etc.Compared with these approaches, visible light-based gesture recognition is a more pervasive option.The basic principle is that different gestures will produce unique shadow patterns as they block the visible light, and gesture recognition can be achieved by capturing shadow changes through photoelectric sensors.To address the environment-dependent problem faced by existing solutions, a digit gesture recognition system was designed based on the photoelectric sensor array.In particular, by modeling recordings of the sensor array as images, the temporal and spatial correlation between different sensor recordings was discovered.An environment adaptive gesture recognition method was designed based on CNN-RNN by fusing the spatio-temporal features.To verify the effectiveness of the proposed method, a prototype gesture recognition system was designed, named Vi-Gesture.Experimental results show that the proposed method outperforms baselines by more than 10% in recognition accuracy.…”
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A LiDAR - camera fusion detection method based on weight allocation by Kang Haotian, Wang Tianshu

“…At present, most autonomous driving sensor fusion methods focus on fusion strategy and feature alignment, and there are few studies on the weight ratio of the two sensors after fusion in different environments. …”
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Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution. by Martin Kostadinov, Eftim Zdravevski, Petre Lameski, Paulo Jorge Coelho, Biljana Stojkoska, Michael A Herzog, Vladimir Trajkovik

“…Historical air quality measurement data were gathered from various local sensors positioned at different sites in Skopje, along with data on meteorological conditions from publicly available APIs. …”
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Computationally efficient direction-of-arrival estimation of non-circular signal based on subspace rotation technique by Wei WANG, Ming ZHANG, Bobin YAO, Qinye YIN, Pengcheng MU

“…In order to solve the problem that the high computational burden of the multiple signal classification algorithm of non-circular signal (NC-MUSIC) in direction-of-arrival (DOA) estimation,a novel computationally efficient DOA estimation algorithm based on subspace rotation technique was proposed.Firstly,the partitioning of noise subspace matrix and the subspace rotation technique (SRT) were used to construct a new reduced-dimension noise subspace.Then,the two-dimensional peak searching was converted to the one-dimensional peak searching on the basis of the separation of variables and the orthogonality between the new reduced-dimension noise subspace and the space spanned by the columns of the extended manifold matrix.The proposed algorithm can enhance the computational efficiency by means of the conversion of the two-dimensional peak searching into the one-dimensional peak searching and the removal of redundant computations.Theoretical analysis and simulation results show that the proposed algorithm can reduce the computational complexity to less than 5% as compared to NC-MUSIC algorithm on the premise of ensuring the accuracy of DOA estimation.Especially,the efficiency advantage of the proposed algorithm is more obvious in scenarios where the large numbers of sensors are required.…”
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Multiple Feature Fusion Based on Co-Training Approach and Time Regularization for Place Classification in Wearable Video by Vladislavs Dovgalecs, Rémi Mégret, Yannick Berthoumieu

“…The analysis of video acquired with a wearable camera is a challenge that multimedia community is facing with the proliferation of such sensors in various applications. In this paper, we focus on the problem of automatic visual place recognition in a weakly constrained environment, targeting the indexing of video streams by topological place recognition. …”
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Strain monitoring of cement-based materials with embedded polyvinyl alcohol - carbon nanotube (PVA-CNT) fibers by Zoi S. Metaxa, Wilfrid Neri, Philippe Poulin, Nikolaos D. Alexopoulos

“…This article investigates the possibility of exploiting innovative polyvinyl alcohol fibers reinforced with carbon nanotubes (PVA-CNT fiber) as a strain sensor in cement mortars used in the restoration of Cultural Heritage Monuments. …”
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Agriculture Supply Chain Management Based on Blockchain Architecture and Smart Contracts by Adil El Mane, Younes Chihab, Khalid Tatane, Redouan Korchiyne

“…The conceptual architecture will eliminate the flaws discovered in prior studies. Sensors are used in this approach to provide us with environmental data. …”
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A Deep Learning Anomaly Detection Framework for Satellite Telemetry with Fake Anomalies by Yakun Wang, Jianglei Gong, Jie Zhang, Xiaodong Han

“…We applied our approach to the telemetry data collected from sensors on an in-orbit satellite for more than two years and demonstrate its superiority. …”
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Features of the use of big data in the financial sector by F. O. Chernenkov

“…It  has been revealed that the technology makes it   possible to  do better analytical research, create models for forecasting economic trends and market changes, study market dynamics, analyse medical data to  improve diagnosis and choice of   treatment methods, predict failure or  breakdown of   equipment in  production by   assessing data from sensors, develop social and economic programmes at   the state level, identify fraud and corruption in   the financial sector, etc. …”
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A Methodical Review on Carbon-Based Nanomaterials in Energy-Related Applications by Robert Birundu Onyancha, Kingsley Eghonghon Ukhurebor, Uyiosa Osagie Aigbe, Otolorin Adelaja Osibote, Heri Septya Kusuma, Handoko Darmokoesoemo

“…Hence, this study endeavours to provide a conscious review of these materials via the comprehensive discussion of the various allotropes of carbon (fullerenes, carbon nanotubes, and graphene), synthesis techniques (arc discharge, laser ablation, and chemical vapor deposition), and their applications in energy-related fields (batteries, capacitors, photocells, hydrogen storage, sensors, etc.) and their impending prospects.…”
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Reduced‐order multisensory fusion estimation with application to object tracking by Vladimir Shin, Vahid Hamdipoor, Yoonsoo Kim

“…The theoretical aspect of ROF application to multisensory systems with identical sensors is also thoroughly investigated. Finally, we show the effectiveness and accuracy of the ROF when applied to objects (including a drone) performing a two‐dimensional maneuver using numerical simulations.…”
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Thermal Measurement and its Application for Diagnostics of Distribution Oil Transformers by D. Korenciak, M. Sebok, M. Gutten

“…By means of the experimental measurements followed by diagnostic analysis the practical use of thermovision and optical sensors for diagnostics of power oil transformers in field mechanical strength and quality of winding is demonstrated.…”
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Stability Evaluation of Volcanic Slope Subjected to Rainfall and Freeze-Thaw Action Based on Field Monitoring by Shima Kawamura, Seiichi Miura

“…The changes in soil moisture, pore pressure, deformations, and temperatures in the slope were investigated using soil moisture meters, tensiometers, thermocouple sensors, clinometers, settlement gauges, an anemovane, a snow gauge, and a rainfall gauge. …”
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Heisenberg-limited spin-mechanical gravimetry by Victor Montenegro

“…By harnessing quantum effects, high-precision sensors can achieve sensitivity and accuracy far beyond their classical counterparts when using the same number of sensing resources. …”
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Gamma irradiation effect on properties of modified graphene doped PVA nanocomposite films by Thaises Lima, Filipe Diniz, Elmo Araújo, Patrícia Araújo

“…PVA/H-RGO nanocomposite films are promising in a wide range of potential applications, such as bio and chemical sensors, catalysis, and active layers for optoelectronic devices.…”
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Continuous deformation analysis and contact force estimation for pneumatic bending actuators interacting with environment by Namdar Ghalati, Mohammad Hadi, Ghafarirad, Hamed

“…In such situation, conventional bending sensors cannot provide useful information on their shape. …”
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Frequency-Based Control Strategy for Compact Electromagnetic Tuned Mass Damper by Semen Kopylov, Zhaobo Chen, Mohamed A. A. Abdelkareem

“…However, most of the proposed control strategies for TMDs represent cost and complex systems with many sensors, which hinders the broad implementation. In this paper, the frequency-based semiactive control (FBC) strategy was proposed for an electromagnetic tuned mass damper (ETMD). …”
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Development of Polymethylmethacrylate Based Composite for Gas Sensing Application by S. Devikala, P. Kamaraj

“…The application of the thick film as gas sensor has been studied between 0 and 2000 seconds. …”
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A Thermoelastic Piezoelectric Fixed Rod Exposed to an Axial Moving Heat Source via a Dual-Phase-Lag Model by Mahmoud Ragab, S. M. Abo-Dahab, Ahmed E. Abouelregal, A. A. Kilany

“…Piezoelectric ceramics are used more in the active control of noise and vibration with sensors and actuators. As a result, a one-dimensional homogeneous thermoelastic fixed piezoelectric rod subjected to a moving heat flow has been considered. …”
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3D crack identification using the Nelder-Mead Simplex algorithm combined with a random generation of crack positions by Nasreddine Amoura, Hocine Kebir, Abdelouahab Benzerdjeb

“…The crack detection process is achieved through minimizing an objective function defined as the difference between measured strains and computed ones, at some specific sensors on the domain boundaries. Through the optimization procedure, the crack surface is modelled by geometrical parameters, which serve as identity variables. …”
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