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Journal articles on the topic 'Encounter filter'

Author: Grafiati

Published: 5 October 2024

Last updated: 31 July 2025

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1

Levin, Aaron. "How Cultural Views Filter Doctor-Patient Encounter." Psychiatric News 45, no. 23 (2010): 10–37. http://dx.doi.org/10.1176/pn.45.23.psychnews_45_23_017.

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Lee, Kyung Hwan, Jun Young Yoo, Chan Jung Park, and Kang Ho Ahn. "Development of Nano-Sized Copper-Deposited Antimicrobial Air Filters Using a Mixed Melt-Blown Process." Nanomaterials 13, no. 14 (2023): 2071. http://dx.doi.org/10.3390/nano13142071.

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Air purification devices, such as air purifiers, provide fresh air by filtering out airborne pollutants, dust, and other harmful substances using various filter systems. While air filters are generally effective in filtering pollutants such as dust, they encounter a challenge when filtering harmful microorganisms such as mites, bacteria, mold, and viruses. These microorganisms, which are present in public transport and public indoor spaces, tend to proliferate on the surface of the filter media, eventually reintroducing themselves into the air or causing unpleasant odors. To address this issue

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Ghaffari, Masoud, and Jaber Soltani. "Evaluation and Comparison of Performance in the Disc Filter with Sand Filters of Filtration Equipment in Micro Irrigation Systems." Modern Applied Science 10, no. 8 (2016): 264. http://dx.doi.org/10.5539/mas.v10n8p264.

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At the present time, the need to evacuate organic and green growth of algae contaminants in micro irrigation system is expanding increasingly. The worldwide populace is expanding and as a result of this, the world may encounter extraordinary fresh water shortage. Our water assets are constrained and, subsequently, water treatment and reusing strategies are the main choices for getting crisp and fresh water in the coming decades. This study examines the rate of the impact of green growth of algae existing in micro irrigation system performance on the disc filters and sand tanks in the examinati

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Lan, Yihua, Pianpian Ma, Anfeng Xu, and Jinjiang Liu. "A Visual Tracking Method Based on an Adaptive Overlapping Correlation Filter for Robotic Real-Time Cognitive Imaging." Wireless Communications and Mobile Computing 2020 (August 24, 2020): 1–8. http://dx.doi.org/10.1155/2020/8891393.

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Computer vision is a very important research direction in the cognitive computing field. Robots encounter various target-tracking problems with computer vision systems. Robust scale estimation is an important issue in tracking algorithms. Most of the available methods have difficulty addressing even reasonable changes of scale in complex videos. In this paper, we propose a visual tracking method based on robust scale estimation, which uses a discriminant correlation filter based on a time-dependent scale-space filter and an adaptive cross-correlation filter. The tracker uses separate essential

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Tian, Xinjiao, Qisheng Ou, Yajing Lu, et al. "Influence of Oil Content on Particle Loading Characteristics of a Two-Stage Filtration System." Atmosphere 14, no. 3 (2023): 551. http://dx.doi.org/10.3390/atmos14030551.

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Filter media may encounter aerosols mixed with solid and oil ingredients from various sources, such as industries, transportation, and households, in the air purification process, while the influence such oil content has on the loading performance of single-stage and two-stage filtration systems is under-reported. Thus, this study aims to evaluate oil fraction effects on the loading performance of single-stage and two-stage filtration systems. First, to reveal the oil–solid mixed particle deposition mechanisms, the filter media parameters, i.e., specific cake resistance ε and cake porosity K2,

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HOLOPAINEN, RISTO. "LOGISTIC MAP WITH A FIRST ORDER FILTER." International Journal of Bifurcation and Chaos 21, no. 06 (2011): 1773–81. http://dx.doi.org/10.1142/s0218127411029422.

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A lowpass filter inserted into the logistic map stabilizes fixed points of the system for large parameter ranges and increases the range of global stability. With a first order filter we encounter a special case of the general 2-D quadratic map with hyperchaos in parts of its parameter ranges. Filtered maps include some maps with delayed variables, and here we present one of the simplest examples of such a system.

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7

Nguri, Evans Matu. "The Television Viewer and the Television News." International Journal of Semiotics and Visual Rhetoric 3, no. 1 (2019): 32–45. http://dx.doi.org/10.4018/ijsvr.2019010103.

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Television news has been studied from a number of perspectives. Few studies have focused on the moment of the encounter between the television viewer and the news. This research focused on what takes place at the encounter as described by the viewer. Its specific research questions were: what viewer typology constructs? What key news aesthetic emerges? And what is the nature of the encounter process? These were examined in a qualitative study mainly using a phenomenological approach involving 58 participants. The study had three key findings: that the television viewer is a disturbed, reflecti

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Humphries, S. "Filter feeders and plankton increase particle encounter rates through flow regime control." Proceedings of the National Academy of Sciences 106, no. 19 (2009): 7882–87. http://dx.doi.org/10.1073/pnas.0809063106.

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Prayudhi, Muhammad Mirdhad, Samhuddin Samhuddin, and Prinob Aksar. "Analisa Mampu Redam Komposit Polyester Berpenguat Limbah Filter Rokok." Enthalpy : Jurnal Ilmiah Mahasiswa Teknik Mesin 8, no. 4 (2023): 122. http://dx.doi.org/10.55679/enthalpy.v8i4.45154.

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Wastes that we often encounter easily is waste from cigarette filters, one example of its utilization is the utilization of wast .filter. filter cigarettes as a composite mixture, by utilizing materials originating from waste which are easy to obtain by utilizing cigarette filter waste as a sound absorbing material. this study aims to determine the composition of the composite mixture reinforced by cigarette filter waste on sound intensity and sound absorption coefficient. The production method is with a fraction of 30%: 70%, 44%: 56%, and 51%: 51%, which is the best co

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Zhen, Rong, and Ziqiang Shi. "A Novel Adaptive Visual Analytics Framework for Multiship Encounter Identification." Journal of Advanced Transportation 2021 (July 12, 2021): 1–11. http://dx.doi.org/10.1155/2021/3063957.

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The automatic identification of multiship encounter is a vital criterion for ship collision avoidance and intelligent maritime safety surveillance. However, the parameters of ship encounter identification in the existing studies are fixed, and the methods are weak to give an automatic and visual performance in the multiship encounter identification. In order to fix the existed gap, this paper proposed a novel adaptive visual analytics framework for automatic multiship encounter identification based on density-based spatial clustering of applications with noise (DBSCAN) and visual analytics by

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11

Czopek, Jakub. "The phenomenon of the filter bubble as a threat to freedom on the Web." International Journal of Pedagogy, Innovation and New Technologies 7, no. 1 (2020): 11–15. http://dx.doi.org/10.5604/01.3001.0014.4453.

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The internet is usually presented as a medium that gives unlimited freedom to the user. The main purpose of the article is to characterize the concept of the filter bubble. It describes the mechanism that can significantly affect the type of content that Internet users encounter on the Web. By limiting content to those that are compatible with the worldview of the person seeking information, the filter bubble can significantly limit the freedom of seeking information. The article also presents several ways that can limit the negative impact of this phenomenon.

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Chotikunnan, Phichitphon, Wanida Khotakham, Rawiphon Chotikunnan, et al. "Enhanced Angle Estimation Using Optimized Artificial Neural Networks with Temporal Averaging in IMU-Based Motion Tracking." Journal of Robotics and Control (JRC) 6, no. 2 (2025): 1069–82. https://doi.org/10.18196/jrc.v6i2.26345.

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Accurate angle estimate is crucial for motion tracking systems, especially in biomedical applications like rehabilitation, prosthesis control, and wearable health monitoring. Traditional filters, such as the Kalman filter, frequently encounter difficulties with nonlinear noise and dynamic variations, hence constraining their resilience. This study presents feedforward artificial neural network (ANN) models as a highly accurate alternative by utilizing IMU sensor data from a gyroscope and accelerometer. The research contribution encompasses: (1) the creation of ANN architectures of diverse comp

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Chen, Lijia, Kai Wang, Kezhong Liu, et al. "Combinatorial-Testing-Based Multi-Ship Encounter Scenario Generation for Collision Avoidance Algorithm Evaluation." Journal of Marine Science and Engineering 13, no. 2 (2025): 338. https://doi.org/10.3390/jmse13020338.

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Collision avoidance algorithms play a crucial role in ensuring the safety and effectiveness of autonomous ships, which require comprehensive testing in realistic multi-ship encounter scenarios. However, existing scenario generation methods often inadequately represent the spatiotemporal complexity and dynamic risk interactions of real-world encounters, leading to biased evaluations. To bridge this gap, this paper proposes a combinatorial-testing-based scenario generation framework integrated with spatiotemporal complexity optimisation. First, a full-process scenario representation model is dev

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Kallini, J., and R. Van Allan. "3:09 PM Abstract No. 274 Effect of scheduling inferior vena cava filter removal during the placement encounter on filter removal rate." Journal of Vascular and Interventional Radiology 31, no. 3 (2020): S123. http://dx.doi.org/10.1016/j.jvir.2019.12.323.

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Rollins, Randi L., Chasen D. Griffin, and Robert H. Cowie. "Snail coprophagy: the encounter filter, food preferences, and rat lungworm (Angiostrongylus cantonensis) prevalence." Parasite 31 (2024): 76. https://doi.org/10.1051/parasite/2024075.

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Understanding the factors driving infection prevalence among host species is crucial for effective disease mitigation. Angiostrongylus cantonensis, the rat lungworm, causes neuroangiostrongyliasis and serves as an excellent model for studying infection dynamics across hosts. This study investigates the relative impact of encounter rates on A. cantonensis prevalence in snail hosts by assessing their coprophagic tendencies. Multiple-choice feeding assays were conducted with four snail species (Parmarion martensi, Laevicaulis alte, Lissachatina fulica, and Veronicella cubensis) differing in A. ca

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Addouch, R., N. Moussaid, O. Gouasnouane, and A. Ben-Loghfyry. "Total fractional-order variation and bilateral filter for image denoising." Mathematical Modeling and Computing 11, no. 3 (2024): 642–53. http://dx.doi.org/10.23939/mmc2024.03.642.

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Image denoising stands out as a primary goal in image processing. However, many existing methods encounter challenges in preserving features such as corners and edges of an image while deleting the noise. This study investigates and evaluates a fractional-order derivative based on the total α-order variation (TV) model and the bilateral total variation (BTV) model. This choice is motivated by the proven effectiveness of the TV model in noise removal and edge preservation, with the BTV model further utilized to enhance the restoration of fine and intricate details. The experimental results affi

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Hou, Junfeng. "A Novel Mid-Infrared Narrowband Filter for Solar Telescopes." Universe 11, no. 6 (2025): 170. https://doi.org/10.3390/universe11060170.

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The mid-infrared band is the last major observational window for the ground-based large solar telescopes in the 21st century. Achieving ultra-narrowband filter imaging is a fundamental challenge that all solar telescopes encounter as they progress towards the mid-infrared spectrum. The guided-mode resonance filtering (GMRF) technology provides a promising solution to this critical issue. This paper describes in detail the fundamental principles and calculation procedure of guided-mode resonance filtering. Building upon this foundation, a preliminary design and simulation of a mid-infrared guid

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Luo, Qinghua, Mutong Yu, Xiaozhen Yan, Zhiquan Zhou, Chenxu Wang, and Boyuan Liu. "A Geomagnetic/Odometry Integrated Localization Method for Differential Robot Using Real-Time Sequential Particle Filter." Sensors 24, no. 7 (2024): 2120. http://dx.doi.org/10.3390/s24072120.

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Geomagnetic matching navigation is extensively utilized for localization and navigation of autonomous robots and vehicles owing to its advantages such as low cost, wide-area coverage, and no cumulative errors. However, due to the influence of magnetometer measurement noise, geomagnetic localization algorithms based on single-point particle filters may encounter mismatches during continuous operation, consequently limiting their long-range localization performance. To address this issue, this paper proposes a real-time sequential particle filter-based geomagnetic localization method. Firstly, t

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19

Wang, Tong. "Analysis of the Affective Factors of High School Struggling Students’ English Learning Based on Affective Filter Hypothesis." Journal of Education and Educational Research 8, no. 2 (2024): 178–80. http://dx.doi.org/10.54097/vep4rp21.

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The increasing prominence of English parallels the relentless march of globalization. In China’s high schools, it stands as one of the trio of core subjects, a testament to its pivotal role in today’s interconnected world. Yet, despite its undeniable importance, a subset of students grapple with the challenge of learning English and find themselves ensnared by the hurdles they encounter. Turning to the Affective Filter Hypothesis proposed by Krashen, we recognize that motivation to learn, self-confidence, and anxiety are pivotal elements that profoundly impact language acquisition. These three

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Ding, Can, Jing Zhang, and Zhe Zhang. "Nonlinear Disturbance Observer-Based Bearing-Only Unmanned Aerial Vehicle Formation Control." Axioms 12, no. 8 (2023): 768. http://dx.doi.org/10.3390/axioms12080768.

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This article primarily investigates nonlinear disturbance observer-based bearing-only formation tracking control for unmanned aerial vehicle (UAV) systems that encounter uncertainties and disturbances. The employed distributed control strategy relies solely on the relative bearing information of neighboring UAVs. To tackle the challenges posed by unknown disturbances and system uncertainties, a novel nonlinear disturbance observer is proposed to effectively mitigate their impact. Moreover, the issue of unknown controller orientation arising from controller singularities is addressed by introdu

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Hui, Zhenyang, Zhuoxuan Li, Dajun Li, Yanan Xu, and Yuqian Wang. "Self-Adaptive Filtering for Ultra-Large-Scale Airborne LiDAR Data in Urban Environments Based on Object Primitive Global Energy Minimization." Remote Sensing 15, no. 16 (2023): 4013. http://dx.doi.org/10.3390/rs15164013.

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Filtering from airborne LiDAR datasets in urban area is one important process during the building of digital and smart cities. However, the existing filters encounter poor filtering performance and heavy computational burden when processing large-scale and complicated urban environments. To tackle this issue, a self-adaptive filtering method based on object primitive global energy minimization is proposed in this paper. In this paper, mode points were first acquired for generating the mode graph. The mode points were the cluster centers of the LiDAR data obtained in a mean shift algorithm. The

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22

Priscillia Miard, Foo Kai Xin, Sapphire Hampshire, Nik Fadzly Nik Rosely, Henry Bernard, and Nadine Ruppert. "Diversity, Encounter Rate and Detection of Non-Volant Nocturnal Mammals on Two Malaysian Islands." Tropical Life Sciences Research 35, no. 1 (2024): 49–85. http://dx.doi.org/10.21315/tlsr2024.35.1.4.

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Nocturnal mammals constitute a crucial component of tropical faunal diversity, but not much is known about the effects of anthropogenic disturbance on the habitat use and detectability of these species. We investigated which habitat and environmental variables impact the detectability of non-volant nocturnal arboreal mammals across varying habitat types at two tropical islands with different levels of anthropogenic development in Malaysia. We conducted night transect line and point count surveys following pre-existing paths in Penang Island and Langkawi Island between 2019 and 2020. We used a

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Su, Te-Jen, Qian-Yi Zhuang, Wei-Hong Lin, Ya-Chung Hung, Wen-Rong Yang, and Shih-Ming Wang. "Design of Infinite Impulse Response Filters Based on Multi-Objective Particle Swarm Optimization." Signals 5, no. 3 (2024): 526–41. http://dx.doi.org/10.3390/signals5030029.

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The goal of this study is to explore the effectiveness of applying multi-objective particle swarm optimization (MOPSO) algorithms in the design of infinite impulse response (IIR) filters. Given the widespread application of IIR filters in digital signal processing, the precision of their design plays a significant role in the system’s performance. Traditional design methods often encounter the problem of local optima, which limits further enhancement of the filter’s performance. This research proposes a method based on multi-objective particle swarm optimization algorithms, aiming not just to

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Curry, Kevin D., Christopher P. Bloch, and Vantha Hem. "Impact of rock alum pretreatment on biosand filter performance in Cambodia." Journal of Water, Sanitation and Hygiene for Development 10, no. 1 (2020): 166–70. http://dx.doi.org/10.2166/washdev.2020.092.

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Abstract Alum is often recommended by WASH agencies as a pretreatment flocculent to improve filtration in biosand filters (BSFs) for communities using a turbid drinking water source. Floating villages on the Tonle Sap Lake in Cambodia using BSFs encounter severe declines in filtration rates while using alum, resulting in reduced use of the BSF. We tested the effect of rock alum treatment on flow rate and turbidity. The flow rate of all BSFs declined over time, but degradation of flow was more rapid for alum-treated water than untreated water. Rock alum treatments significantly reduced the turb

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Pham, Son, and Anh Dinh. "Adaptive-Cognitive Kalman Filter and Neural Network for an Upgraded Nondispersive Thermopile Device to Detect and Analyze Fusarium Spores." Sensors 19, no. 22 (2019): 4900. http://dx.doi.org/10.3390/s19224900.

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Noises such as thermal noise, background noise or burst noise can reduce the reliability and confidence of measurement devices. In this work, a recursive and adaptive Kalman filter is proposed to detect and process burst noise or outliers and thermal noise, which are popular in electrical and electronic devices. The Kalman filter and neural network are used to preprocess data of three detectors of a nondispersive thermopile device, which is used to detect and quantify Fusarium spores. The detectors are broadband (1 µm to 20 µm), λ 1 (6.09 ± 0.06 µm) and λ 2 (9.49 ± 0.44 µm) thermopiles. Additi

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Singh, Kamred Udham. "Fusion of Multilayer Perception and Kalman Filter for Indoor Object Tracking." Mathematical Statistician and Engineering Applications 70, no. 2 (2021): 1450–57. http://dx.doi.org/10.17762/msea.v70i2.2338.

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    Abstract The task of tracking indoor objects presents a formidable challenge due to a multitude of factors, including but not limited to occlusions, fluctuations in lighting conditions, and intricate object movements. The conventional employment of Kalman filter-based techniques for tracking objects within indoor environments has been extensively utilised. However, these methods frequently encounter constraints such as insufficient flexibility and inadequate depiction of intricate object kinetics. In order to overcome these constraints, a new methodology is su

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Petricini, Tiffany. "Explorations in the noosphere: Hermeneutic presence and hostility in cyberspace." Explorations in Media Ecology 18, no. 1-2 (2019): 57–71. http://dx.doi.org/10.1386/eme.18.1-2.57_1.

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This article works to uncover the nature of the currents of hostility that flow through various mediums in cyberspace. Drawing predominantly Ong’s work on contest and Ihde’s phenomenology of technics, the article explores how screens extend thought space and, at the same time, extend and simultaneously filter the presence of others. An additional encounter of presence, a hermeneutic presence, is a feature of our digital age and relies on our own limitations – cognitive, interpretive and communicative. These limitations lead to a concealment, a loss of hermeneutic cues, natural to presence, whi

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Fang, Ruinan, Peidong He, and Yangyang Gao. "A review of SLAM techniques and applications in unmanned aerial vehicles." Journal of Physics: Conference Series 2798, no. 1 (2024): 012033. http://dx.doi.org/10.1088/1742-6596/2798/1/012033.

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Abstract Simultaneous Localisation and Mapping (SLAM) is a foundational idea in the field of robotics. It involves the processing of sensor signals and the optimisation of pose-graphs. SLAM has found several applications in various domains, including but not limited to courier services, agriculture, environmental monitoring, and military operations, particularly with the use of Unmanned Aerial Vehicles (UAVs). There exist several applications. This work aims to provide a comprehensive analysis of three Simultaneous Localization and Mapping (SLAM) algorithms, namely CNN-SLAM, Linearized Kalman

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Liu, Guobao, Shibin Shen, and Xianglei Jia. "Dissipative Filter Design for Nonlinear Time-Varying-Delay Singular Systems against Deception Attacks." Complexity 2021 (November 24, 2021): 1–15. http://dx.doi.org/10.1155/2021/2260753.

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This paper applies a T-S fuzzy model to depict a class of nonlinear time-varying-delay singular systems and investigates the dissipative filtering problem for these systems under deception attacks. The measurement output is assumed to encounter random deception attacks during signal transmission, and a Bernoulli distribution is used to describe this random phenomena. In this case, the filtering error system modeled by a stochastic singular T-S fuzzy system is established and stochastic admissibility for this kind of system is defined firstly. Then, by combining some integral inequalities and u

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Prisăcariu, Emilia-Georgiana, and Tudor Prisecaru. "Quantitative Color Schlieren for an H2–O2 Exhaust Jet Developing in Air." Fluids 9, no. 1 (2024): 19. http://dx.doi.org/10.3390/fluids9010019.

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Throughout many decades, the Schlieren visualization method has been mainly used as means to visualize transparent flows in a qualitative manner. The images recorded provide data regarding the existence of the flow, or illustrate predicted flow geometries and details. The colored Schlieren method has been developed in the late 1890s and has always had the intent to provide quantitative data rather than qualitative pictures of the studied phenomena. This paper centers on applying a quantitative color Schlieren method to help determine the gasodynamic parameters of an H2–O2 exhaust jet, developi

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Merckelbach, Lucas. "Depth-averaged instantaneous currents in a tidally dominated shelf sea from glider observations." Biogeosciences 13, no. 24 (2016): 6637–49. http://dx.doi.org/10.5194/bg-13-6637-2016.

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Abstract. Ocean gliders have become ubiquitous observation platforms in the ocean in recent years. They are also increasingly used in coastal environments. The coastal observatory system COSYNA has pioneered the use of gliders in the North Sea, a shallow tidally energetic shelf sea. For operational reasons, the gliders operated in the North Sea are programmed to resurface every 3–5 h. The glider's dead-reckoning algorithm yields depth-averaged currents, averaged in time over each subsurface interval. Under operational conditions these averaged currents are a poor approximation of the instantan

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Bodeanu, Georgiana. "J. M. Coetzee, W. G. Sebald, and Jacques Rancière. An Encounter in Time. (The Jesus Trilogy and Austerlitz)." Acta Universitatis Sapientiae, Philologica 16, no. 1 (2024): 17–27. https://doi.org/10.47745/ausp-2024-0002.

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Coetzee’s reading of Sebald is significative for his writing of the Jesus trilogy. The very thesis of the trilogy relates to the existence of a world where all references to the past are lost in oblivion, which, according to Coetzee, would have been a possible salvation for Austerlitz, Sebald’s protagonist. This paper will analyse to what extent Coetzee’s encounter with Sebald determined the conception of time that is found in the three Jesus novels. Furthermore, the two authors share the same preoccupation with the issue of time regarding “the anxiety expressed by Rainer Maria Rilke in his le

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Verma, Jahnvi, Nischal Bhattarai, and Thejesh N. Bandi. "Hybrid Filtering Technique for Accurate GNSS State Estimation." Remote Sensing 17, no. 9 (2025): 1552. https://doi.org/10.3390/rs17091552.

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The Global Navigation Satellite System (GNSS) is extensively utilized in various applications that require triangulation solutions for positioning, navigation, and timing (PNT). These solutions are obtained by solving state estimates, traditionally using methods like weighted least squares (WLS) and Kalman Filters (KF). While these conventional approaches are foundational, they frequently encounter challenges related to robustness, particularly the necessity for precise noise statistics and the reliance on potentially accurate prior assumptions. This paper introduces a hybrid approach to GNSS

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B, Srinath, P. Aruna priya, and Chirag Kasliwal. "Analysis of a Multiple Supply Voltage Floorplan Considering Voltage Drop and Electron Migration Risk." International Journal of Engineering & Technology 7, no. 2.24 (2018): 496. http://dx.doi.org/10.14419/ijet.v7i2.24.12145.

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In Contemporary Integrated Circuits (IC), the Voltage drop in the power rails and Electron migration risk (EM) due to high current densities are the most important factors degrading the reliability of the chip. The effect of these factors leads to an imbalance in the flow of charge carriers and voids in interconnects. This paper resolves the above issues, through analyzing and predetermining it in a Multiple Supply Voltage (MSV) design during the floorplanning stage. Simulations were carried out in Cadence digital Encounter system with 180nm technology for the circuit net list of 8 point FFT (

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Kumar, Chiranjeevi Amit, and Ozkan Giridhar. "UAV Detection Multi-sensor Data Fusion." Journal of Research in Science and Engineering 6, no. 7 (2024): 6–12. http://dx.doi.org/10.53469/jrse.2024.06(07).02.

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In today's world, the ubiquitous presence of unmanned aerial vehicles (UAVs) poses unprecedented challenges, ranging from privacy concerns and security threats to potential safety hazards. Strong and precise drone detection techniques are essential as drones are incorporated into a wider range of sectors. Traditional single-sensor approaches encounter limitations, such as susceptibility to environmental conditions and restricted detection accuracy. This paper addresses the significance of drone detection in our modern context, highlighting the critical need for comprehensive and efficient solu

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Kurian, Ashley, Anuj Dubey, Ferhat Yaman, and Aydin Aysu. "TPUXtract: An Exhaustive Hyperparameter Extraction Framework." IACR Transactions on Cryptographic Hardware and Embedded Systems 2025, no. 1 (2024): 78–103. https://doi.org/10.46586/tches.v2025.i1.78-103.

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Model stealing attacks on AI/ML devices undermine intellectual property rights, compromise the competitive advantage of the original model developers, and potentially expose sensitive data embedded in the model’s behavior to unauthorized parties. While previous research works have demonstrated successful side-channelbased model recovery in embedded microcontrollers and FPGA-based accelerators, the exploration of attacks on commercial ML accelerators remains largely unexplored. Moreover, prior side-channel attacks fail when they encounter previously unknown models. This paper demonstrates the f

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Jurinová, J. "Performance improvement of using lambda expressions with new features of Java 8 vs. other possible variants of iterating over ArrayList in Java." Journal of Applied Mathematics, Statistics and Informatics 14, no. 1 (2018): 103–31. http://dx.doi.org/10.2478/jamsi-2018-0007.

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Abstract A fluent programming is the programming technique where operations return a value that allows the invocation of another operation. With the fluent programming, it is perfectly natural to end up with one huge statement that is the concatenation of as many operations as you like. The Java Development Kit (JDK) streams (added in Java 8) are designed to support fluent programming. Instead of looping over all elements in the sequence repeatedly (once for filter, then again for map, and eventually for toArray), the chain of filtermapper-collector can be applied to each element in just one p

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Shen, Cheng, Zhijie Wen, Wenliang Zhu, Dapeng Fan, and Mingyuan Ling. "Optimizing Controls to Track Moving Targets in an Intelligent Electro-Optical Detection System." Axioms 13, no. 2 (2024): 113. http://dx.doi.org/10.3390/axioms13020113.

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Electro-optical detection systems face numerous challenges due to the complexity and difficulty of targeting controls for “low, slow and tiny” moving targets. In this paper, we present an optimal model of an advanced n-step adaptive Kalman filter and gyroscope short-term integration weighting fusion (nKF-Gyro) method with targeting control. A method is put forward to improve the model by adding a spherical coordinate system to design an adaptive Kalman filter to estimate target movements. The targeting error formation is analyzed in detail to reveal the relationship between tracking controller

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Vieira, Ariane, Hendrik C. Kuhlmann, Johann Waringer, Carina Zittra, Simon Vitecek, and Stephan Handschuh. "Hydraulic engineering of Drusinae larvae: head morphologies and their impact on surrounding flow fields." Contributions to Entomology 73, no. 2 (2023): 269–78. http://dx.doi.org/10.3897/contrib.entomol.73.e109206.

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Body morphologies are significantly different amongst the members of the Drusinae subfamily. Aligned with such differences is the selective niche location chosen by many species from the subfamily. Typically, they live on the sediments of cold, well-oxygenated mountain streams from the Eurasian Region. However, each of the three evolutionary lineages (shredders, grazers and carnivorous filter feeders) inhabit different hydraulic locations according to their foraging behaviour. To investigate the relationship between the body morphology and the flow field near the body, we use Large Eddy Simula

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Chen, Wanqiang, Yunpeng Jing, Shuo Zhao, Lei Yan, Quancheng Liu, and Zichang He. "A Distributed Collaborative Navigation Strategy Based on Adaptive Extended Kalman Filter Integrated Positioning and Model Predictive Control for Global Navigation Satellite System/Inertial Navigation System Dual-Robot." Remote Sensing 17, no. 4 (2025): 721. https://doi.org/10.3390/rs17040721.

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In the field of multi-robot cooperative localization and task planning, traditional filtering algorithms encounter synchronization and consistency issues during multi-source data fusion. These challenges result in cumulative localization errors and inefficient information sharing, which limits the system’s collaborative capabilities and control accuracy. To overcome these limitations, a distributed cooperative navigation strategy is introduced. Initially, a Distributed Adaptive Extended Kalman Filter (DAEKF) is implemented, which adaptively adjusts the noise covariance matrix to effectively ma

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Vieira, Ariane, Hendrik C. Kuhlmann, Johann Waringer, Carina Zittra, Simon Vitecek, and Stephan Handschuh. "Hydraulic engineering of Drusinae larvae: head morphologies and their impact on surrounding flow fields." Contributions to Entomology 73, no. (2) (2023): 269–78. https://doi.org/10.3897/contrib.entomol.73.e109206.

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Body morphologies are significantly different amongst the members of the Drusinae subfamily. Aligned with such differences is the selective niche location chosen by many species from the subfamily. Typically, they live on the sediments of cold, well-oxygenated mountain streams from the Eurasian Region. However, each of the three evolutionary lineages (shredders, grazers and carnivorous filter feeders) inhabit different hydraulic locations according to their foraging behaviour. To investigate the relationship between the body morphology and the flow field near the body, we use Large Eddy Simula

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Szłapczyński, Rafał, and Hossein Ghaemi. "Framework of an Evolutionary Multi-Objective Optimisation Method for Planning a Safe Trajectory for a Marine Autonomous Surface Ship." Polish Maritime Research 26, no. 4 (2019): 69–79. http://dx.doi.org/10.2478/pomr-2019-0068.

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Abstract This paper represents the first stage of research into a multi-objective method of planning safe trajectories for marine autonomous surface ships (MASSs) involved in encounter situations. Our method applies an evolutionary multi-objective optimisation (EMO) approach to pursue three objectives: minimisation of the risk of collision, minimisation of fuel consumption due to collision avoidance manoeuvres, and minimisation of the extra time spent on collision avoidance manoeuvres. Until now, a fully multi-objective optimisation has not been applied to the real-time problem of planning saf

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Tariq, Hassan, Muhammad Rashid, Asfa Javed, Muhammad Aaqib Riaz, Mohammed Sinky, and Muhammad Yousuf Irfan Zia. "Implementation of Omni-D Tele-Presence Robot Using Kalman Filter and Tricon Ultrasonic Sensors." Sensors 22, no. 10 (2022): 3948. http://dx.doi.org/10.3390/s22103948.

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The tele-presence robot is designed to set forth an economic solution to facilitate day-to-day normal activities in almost every field. There are several solutions to design tele-presence robots, e.g., Skype and team viewer, but it is pretty inappropriate to use Skype and extra hardware. Therefore, in this article, we have presented a robust implementation of the tele-presence robot. Our proposed omnidirectional tele-presence robot consists of (i) Tricon ultrasonic sensors, (ii) Kalman filter implementation and control, and (iii) integration of our developed WebRTC-based application with the o

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Aali, Seyed Reza, Mohammad Reza Besmi, and Mohammad Hosein Kazemi. "Smart VRP-NLMS algorithm for estimation of power system frequency." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 38, no. 1 (2019): 362–81. http://dx.doi.org/10.1108/compel-06-2018-0263.

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Purpose The purpose of this paper is to study variation regularization with a positive sequence extraction-normalized least mean square (VRP-NLMS) algorithm for frequency estimation in a three-phase electrical distribution system. A simulation test is provided to validate the performance and convergence rate of the proposed estimation algorithm. Design/methodology/approach Least mean square (LMS) algorithms for frequency estimation encounter problems when voltage contains unbalance, sags and harmonic distortion. The convergence rate of the LMS algorithm is sensitive to the adjustment of the st

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Kittivorawong, Chanwut, Yongming Ge, Yousef Helal, and Alvin Cheung. "Spatialyze: A Geospatial Video Analytics System with Spatial-Aware Optimizations." Proceedings of the VLDB Endowment 17, no. 9 (2024): 2136–48. http://dx.doi.org/10.14778/3665844.3665846.

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Videos that are shot using commodity hardware such as phones and surveillance cameras record various metadata such as time and location. We encounter such geospatial videos on a daily basis and such videos have been growing in volume significantly. Yet, we do not have data management systems that allow users to interact with such data effectively. In this paper, we describe Spatialyze, a new framework for end-to-end querying of geospatial videos. Spatialyze comes with a domain-specific language where users can construct geospatial video analytic workflows using a 3-step, declarative, build-fil

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Xu, Wenjie, Mindong Liu, and Shichao Yi. "Spectrum Attention Mechanism-Based Acoustic Vector DOA Estimation Method in the Presence of Colored Noise." Applied Sciences 15, no. 3 (2025): 1473. https://doi.org/10.3390/app15031473.

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In the field of direction of arrival (DOA) estimation, a common assumption is that array noise follows a uniform Gaussian white noise model. However, practical systems often encounter non-ideal noise conditions, such as non-uniform or colored noise, due to sensor characteristics and external environmental factors. Traditional DOA estimation techniques experience significant performance degradation in the presence of colored noise, necessitating the exploration of specialized DOA estimation methods for such environments. This study introduces a DOA estimation method for acoustic vector arrays b

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Beinorius, Audrius. "Buddhism in the Early European Imagination: A Historical Perspective." Acta Orientalia Vilnensia 6, no. 2 (2005): 7–22. http://dx.doi.org/10.15388/aov.2005.0.3975.

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Centre of Oriental Studies, Vilnius University The article deals with the main historical and cultural approaches of Europeans to Buddhism in various Asian areas. The intention of author is to turn to discussion of those peculiar forms in which the knowledge of Buddhism was presented. This study sets out its aim to explore the way of engagement of the West with the Buddhist tradition, emphasizing the early period of the encounter and those initial imaginative constructions and early discourses that shaped the nascency of the scholarly discipline. Conclusion is made that Buddhism has been

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Zhai, Jiangtao, Zihao Wang, Kun Duan, and Tao Wang. "A novel method for mobile application recognition in encrypted channels." Electronic Research Archive 32, no. 1 (2023): 193–223. http://dx.doi.org/10.3934/era.2024010.

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<abstract><p>In the field of mobile application traffic analysis, existing methods for accurately identifying encrypted traffic often encounter challenges due to the widespread adoption of encryption channels and the presence of background traffic. Consequently, this study presents a novel mobile application traffic identification model that is in encrypted channels. The proposed model utilizes an adaptive feature extraction technique that combines Convolutional Neural Networks (CNNs) and Gated Recurrent Units (GRUs) to effectively extract abstract features from encrypted mobile ap

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Wang, Tzu-Kai, Yeh-Wei Yu, Tsung-Hsun Yang, et al. "Depth Image Completion through Iterative Low-Pass Filtering." Applied Sciences 14, no. 2 (2024): 696. http://dx.doi.org/10.3390/app14020696.

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This study introduces a spatial-modulated approach designed to recover missing data in in-depth images. Typically, commercial-grade RGB-D cameras utilize structured light or time-of-flight techniques for capturing scene depth. However, these conventional methods encounter difficulties in acquiring depth data from glossy, transparent, or low-reflective surfaces. Additionally, they are prone to interference from broad-spectrum light sources, resulting in defective areas in the captured data. The generation of dense data is further compromised by the influence of noise. In response to these chall

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Markó, Norbert, Ernő Horváth, István Szalay, and Krisztián Enisz. "Deep Learning-Based Approach for Autonomous Vehicle Localization: Application and Experimental Analysis." Machines 11, no. 12 (2023): 1079. http://dx.doi.org/10.3390/machines11121079.

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In a vehicle, wheel speed sensors and inertial measurement units (IMUs) are present onboard, and their raw data can be used for localization estimation. Both wheel sensors and IMUs encounter challenges such as bias and measurement noise, which accumulate as errors over time. Even a slight inaccuracy or minor error can render the localization system unreliable and unusable in a matter of seconds. Traditional algorithms, such as the extended Kalman filter (EKF), have been applied for a long time in non-linear systems. These systems have white noise in both the system and in the estimation model.

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