Journal articles on the topic 'Encounter filter'
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1
Levin, Aaron. "How Cultural Views Filter Doctor-Patient Encounter." Psychiatric News 45, no. 23 (December 3, 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 (July 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, herein, copper particles were prepared as one masterbatch and deposited on polypropylene (PP) pellets through plasma vacuum deposition to effectively filter dust and microorganisms and prevent their growth on the surface of the filter media. After adding 3–10 wt.% of the masterbatch to conventional PP pellets to fabricate a filter media, the distribution of copper on the surface of the filter media was observed through a scanning electron microscope. To verify the safety and effectiveness of the antimicrobial material, the filter media containing antimicrobial particles was tested using Escherichia coli (E. coli) and Staphylococcus aureus through a filter emission test.
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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 (July 19, 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 examination field of water, soil and horticultural and agricultural commercial enterprises Vice-Presidency of Karaj.The analyses were performed in four scenarios comprising of ordinary disc filter together with sand tank, automated disc filter together with sand tank, automated disc filter without sand tank lastly common ordinary disc filter without sand tank. These scenarios were assessed and looked at in three classifications of physical quality of irrigation system water. Data collection and experiments was run up to three months. The results of the experiments demonstrated that concentration of organic and suspended materials is viewed as safe for low flow emitters. In the range of 50 through 100 mg per liter, automated disc filters represented a good performance. In the concentration of 100 mg/l or higher, the performance of disc filters significantly decreased; subsequently it is important to put the sand tank before disc filters.
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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 filters for sample migration and scale estimation. Furthermore, the built-in scale estimation method can be introduced into other tracking algorithms. We validate the proposed method on the UAV123 dataset. The results of comparison experiments with the traditional correlation filter tracking method demonstrate that the proposed method improves the success rate and tracking accuracy while controlling the computational complexity; its success rate measured by the area under the curve is 0.638, while at a location error precision of 20%, it is 0.649.
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Tian, Xinjiao, Qisheng Ou, Yajing Lu, Jingxian Liu, Yun Liang, David Y. H. Pui, and Hang Yi. "Influence of Oil Content on Particle Loading Characteristics of a Two-Stage Filtration System." Atmosphere 14, no. 3 (March 14, 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, were tested, indicating that a slight amount of oil can increase the dust holding capacity (DHC) of filters by forming a more porous cake, while an excess of oil results in reduced DHC by forming impermeable liquid films on the solid skeleton. Further two-stage experimental results indicate that the effectiveness of a pre-stage filter can be significantly affected by the properties of incoming aerosol and main-stage filters. The utilization of a pre-stage filter unintentionally deteriorated the service lifetime of the main-stage filter when challenged with contaminants with certain oil particles. This counter-intuitive negative phenomenon is due to the special loading behaviors of oil–solid mixed particles. The existing pre-stage filters allow a higher fine oil particle fraction to reach the main-stage downstream, while the induced cake filtration scenario leading to a film clogging scenario adversely reduced the lifetime of the main-stage filter. The findings suggest that the feasibility of a pre-stage in the filtration system requires compressive evaluations according to the specific oil-coated contaminants.
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HOLOPAINEN, RISTO. "LOGISTIC MAP WITH A FIRST ORDER FILTER." International Journal of Bifurcation and Chaos 21, no. 06 (June 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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Nguri, Evans Matu. "The Television Viewer and the Television News." International Journal of Semiotics and Visual Rhetoric 3, no. 1 (January 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, reflective, and dominating person at the encounter; that an epic news genre dominates the site and process; and lastly, that the key process at the encounter is one of intertextuality through a combative, combustive fusion and filter procedure. The research argues for a new area of encounter studies.
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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 (April 28, 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 (December 30, 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 composite
fraction with respect to sound intensity values and sound absorption coefficient
values, composite materials with a frequency of 510 Hz get sound intensity values
the highest is the 30%:70% fraction of 104,867 dBa. and the lowest is the 51%:49%
fraction, which is 96.676 dBa, and the highest sound absorption coefficient is the
51%:49% fraction of 0.196 and the lowest is the 30%-70% fraction, namely 0.129,
so it can be concluded that the smaller the fiber fraction of the acoustic material of
cigarette filter waste, the higher the sound absorption coefficient produced. The
best sound absorption coefficient value is obtained for the material acoustic with a
fraction of 51% :51% frequency of 510 Hz which is 0.196.
Keywords: Acoustic, Boko, Composite, Noise, Waste.
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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 adjusting the parameters of ship encounter adaptively. The DBSCAN clustering method was applied to detect the clusters of encounter ships and filter out the nonencounter ship, and the distribution and density of the encounter ship had been visualized on the nautical chart to give a better perception of ships’ behavior with a potentially high navigational risk. The framework had been designed and developed using DBSCAN and visual analytics, and the effectiveness was evaluated and validated by adjusting different parameters of multiship encounter within the Southwest waters of Zhoushan Island, China. The results showed that the proposed framework had a good performance in the visual identification of multiship encounter within confined waters, which could assist the ship collision avoidance and intelligent maritime surveillance system.
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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 (June 30, 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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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 (March 2020): S123. http://dx.doi.org/10.1016/j.jvir.2019.12.323.
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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 (March 26, 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, this method mitigates the impact of noise during continuous operation while ensuring real-time performance by performing real-time sequential particle filtering. Then, it enhances the long-range positioning accuracy of the method by rectifying the trajectory shape of the odometry through odometry calibration parameters. Finally, by performing secondary matching on the preliminary matching results via the MAGCOM algorithm, the positioning error of the method is further minimized. Experimental results show that the proposed method has higher positioning accuracy compared to related algorithms, resulting in reductions of over 28.58%, 37.11%, and 0.77% in RMSE, max error, and error at the end, respectively.
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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 (May 8, 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 affective factors act as a filter that can either facilitate or impede language learning. This essay will delve into an analysis of an English struggling learner through the lens of Krashen’s Affective Filter Hypothesis, aiming to unearth insights that may guide high school English teachers in supporting their students who face similar educational barriers. By understanding how affective factors influence language absorption, educators can better tailor their instructional strategies and foster an environment conducive to overcoming the linguistic challenges faced by these learners.
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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 (August 13, 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 graph constructed with mode points was named “mode graph” in this paper. By defining the energy function based on the mode graph, the filtering process is transformed to iterative global energy minimization. In each iteration, the graph cuts technique was adopted to achieve global energy minimization. Meanwhile, the probability of each point belonging to the ground was updated, which would lead to a new refined ground surface using the points whose probabilities were greater than 0.5. This process was iterated until two successive fitted ground surfaces were determined to be close enough. Four urban samples with different urban environments were adopted for verifying the effectiveness of the filter developed in this paper. Experimental results indicate that the developed filter obtained the best filtering performance. Both the total error and the Kappa coefficient are superior to those of the other three classical filtering methods.
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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 (August 14, 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 find the local optima but to identify the optimal global design parameters for the filters. The design methodology section will provide a detailed introduction to the application of multi-objective particle swarm optimization algorithms in the IIR filter design process, including particle initialization, velocity and position updates, and the definition of objective functions. Through multiple experiments using Butterworth and Chebyshev Type I filters as prototypes, as well as examining the differences in the performance among these filters in low-pass, high-pass, and band-pass configurations, this study compares their efficiencies. The minimum mean square error (MMSE) of this study reached 1.83, the mean error (ME) reached 2.34, and the standard deviation (SD) reached 0.03, which is better than the references. In summary, this research demonstrates that multi-objective particle swarm optimization algorithms are an effective and practical approach in the design of IIR filters.
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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 (March 30, 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 head torch with red filter and a thermal imaging device (FLIR) to enhance animal detection success. We calculated the encounter rates (individual km–1) for each species as a proxy for abundance. Overall, we detected 17 species, but did not find higher species diversity in intact forested environments compared to disturbed areas. Encounter rates of the most observed species were influenced by ‘time after sunset’ on the highly developed island of Penang, whereas on the rural island of Langkawi, detection was higher in sites with better canopy connectivity. Different species of non-volant nocturnal arboreal mammals use their respective habitats differently and thus, are differently impacted by varying levels of anthropogenic activities. Our results provided baseline data on the diversity, encounter rate, and detectability of these highly elusive species, which can also help to further improve methodologies for the detection of nocturnal wildlife.
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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 (August 7, 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 introducing a Butterworth low-pass filter. This filter ensures a consistent controller gain and enhances disturbance suppression, ultimately transforming the controller gain function into a constant value of 1. Subsequently, a bearing-only formation tracking controller is developed using the backstepping control approach. The stability of the closed-loop control systems is rigorously proven using Lyapunov theory. Finally, numerical simulations are conducted to validate the effectiveness of the proposed scheme in achieving formation control objectives.
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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 (January 2, 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 turbidity of borrow pit source water. Filters switched to untreated river water decreased in turbidity to levels ≤ rock alum-treated river water. Rock alum treatments increased aluminum in source water 4–15 times, but filtration by BSFs decreased levels of aluminum to near 0.05 mg/L. Though rock alum effectively reduces turbidity in source water, we believe it continues its coagulation inside the BSF during pause periods, negatively impacting flow rates.
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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 (February 26, 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 suggested which integrates the Kalman filter and Multilayer Perceptron (MLP) models for the purpose of tracking objects within indoor environments. The suggested methodology amalgamates the advantages of the two models, wherein the Kalman filter manages the sensor data that is prone to noise and offers state estimation, whereas the MLP model captures the intricate nonlinear dynamics of the object being tracked. The results obtained from experiments conducted on a dataset that is available to the public demonstrate that the method proposed exhibits superior performance in terms of both tracking accuracy and robustness when compared to existing state-of-the-art methods. The approach being proposed exhibits potential applications in diverse domains including surveillance, robotics, and human-computer interaction, wherein dependable object tracking is of utmost importance.
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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 (November 9, 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. Additionally, an artificial neural network (NN) is applied to process background noise effects. The adaptive and cognitive Kalman Filter helps to improve the training time of the neural network and the absolute error of the thermopile data. Without applying the Kalman filter for λ 1 thermopile, it took 12 min 09 s to train the NN and reach the absolute error of 2.7453 × 104 (n. u.). With the Kalman filter, it took 46 s to train the NN to reach the absolute error of 1.4374 × 104 (n. u.) for λ 1 thermopile. Similarly, to the λ 2 (9.49 ± 0.44 µm) thermopile, the training improved from 9 min 13 s to 1 min and the absolute error of 2.3999 × 105 (n. u.) to the absolute error of 1.76485 × 105 (n. u.) respectively. The three-thermopile system has proven that it can improve the reliability in detection of Fusarium spores by adding the broadband thermopile. The method developed in this work can be employed for devices that encounter similar noise problems.
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Petricini, Tiffany. "Explorations in the noosphere: Hermeneutic presence and hostility in cyberspace." Explorations in Media Ecology 18, no. 1-2 (March 1, 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, which can cause reversion to agonistic practices from orality.
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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 using the Lyapunov–Krasovskii functional approach, sufficient delay-dependent conditions are presented based on linear matrix inequality techniques, where the system of filtering error can be stochastically admissible and strictly ℚ , S , ℝ -dissipative against randomly occurring deception attacks. Moreover, parameters of the desired filter can be obtained via the solutions of the established conditions. The validity of our work is illustrated through a mostly used example of the nonlinear system.
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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 (July 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 Filter (LKF), and Extended Kalman Filter (EKF). Additionally, it will explore the utilisation of SLAM algorithms in Unmanned Aerial Vehicles (UAVs) by examining its use in precision agriculture, geological surveys, and Emergency Scenarios. This section will outline certain issues that SLAM algorithms may encounter in relation to wide area applications, real-time processing and efficiency, robustness, and dynamic objects within the environment. Ultimately, this study will undertake a comparative analysis of the merits and drawbacks associated with the three algorithms, while also putting up potential remedies for the aforementioned issues.
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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 (January 8, 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, developing in air. A comparison between the parameters obtained through calibrating the color filter for the Schlieren method and the results from a CFD simulation is performed to assess the range of the CS (color Schlieren) measurement. This paper’s findings address the issues of calibrated color filter Schlieren encounter during its implementation and discusses possible errors appearing when the method is applied to a 3D flow. While the qualitative Schlieren images are still impressive to observe, the quantitative Schlieren presents challenges and a low measurement accuracy (75%) when applied to 3D flows and compared to 2D cases found in the literature (97–98%).
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Merckelbach, Lucas. "Depth-averaged instantaneous currents in a tidally dominated shelf sea from glider observations." Biogeosciences 13, no. 24 (December 16, 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 instantaneous tidal current. In this work an algorithm is developed that estimates the instantaneous current (tidal and residual) from glider observations only. The algorithm uses a first-order Butterworth low pass filter to estimate the residual current component, and a Kalman filter based on the linear shallow water equations for the tidal component. A comparison of data from a glider experiment with current data from an acoustic Doppler current profilers deployed nearby shows that the standard deviations for the east and north current components are better than 7 cm s−1 in near-real-time mode and improve to better than 6 cm s−1 in delayed mode, where the filters can be run forward and backward. In the near-real-time mode the algorithm provides estimates of the currents that the glider is expected to encounter during its next few dives. Combined with a behavioural and dynamic model of the glider, this yields predicted trajectories, the information of which is incorporated in warning messages issued to ships by the (German) authorities. In delayed mode the algorithm produces useful estimates of the depth-averaged currents, which can be used in (process-based) analyses in case no other source of measured current information is available.
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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 (April 25, 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 (Fast Fourier Transform) and FIR filter. Results show that floorplanning scheme is powerful in reducing 100% of voltage drop and 50% of EM risk in the chip as compared to previous works.
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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 (July 28, 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 solutions. The challenges associated with depending solely on a single sensor for drone detection are explored, emphasizing issues like limited adaptability to environmental variations and the potential for false positives or negatives. Subsequently, the paper delves into the advantages of employing sensor fusion, specifically integrating radar and camera information using the Kalman Filter. This approach enhances accuracy and efficiency by leveraging the complementary strengths of radar and camera sensors. The Kalman Filter provides a dynamic framework to model the linear nature of drone movements, enabling precise localization. The fusion of radar and camera data not only addresses the limitations of single-sensor systems but also ensures adaptability to diverse operational scenarios, making it a promising solution for reliable and real-time drone detection in our dynamic and evolving world.
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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 (May 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 pass over the sequence. In this context, we often encounter lambda expressions used to create locally defined anonymous functions. They provide a clear and concise way to represent one method interface using an expression. Oracle claims that use of lambda expressions also improve the collection libraries making it easier to iterate through, filter, and extract data from a collection. In addition, new concurrency features improve performance in multicore environments. There are multiple ways to traverse, iterate, or loop collection in Java. Therefore, to solve one problem, we have several options for solutions that differ by undeniably increasing of the code readability. Searching for answers to the question of whether these new features really bring performance benefits over conventional way, is the subject of this paper.
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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 (February 8, 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 feedback and line-of-sight position correction. Based on the establishment of a targeting control coordinate system for tracking moving targets, a dual closed-loop composite optimization control model is proposed. The outer loop is used for estimating the motion parameters and predicting the future encounter point, while the inner loop is used for compensating the targeting error of various elements in the firing trajectory. Finally, the modeling method is substituted into the disturbance simulation verification, which can monitor and compensate for the targeting error of moving targets in real time. The results show that in the optimal model incorporating the nKF-Gyro method with targeting control, the error suppression was increased by up to 36.8% compared to that of traditional KF method and was 25% better than that of the traditional nKF method.
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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 (December 19, 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 Simulations to compute the flow past five different species of the subfamily. We selected species representing the three evolutionary lineages of the subfamily, Drusus alpinus Meyer-Dür 1875 from the shredders clade, D. bosnicus Klapálek 1899 and D. monticola McLachlan 1876 from the grazers clade and Cryptothrix nebulicola McLachlan 1867 and D. discolor (Rambur 1842) from the filter feeders clade. For the simulations, three-dimensional body shapes were reconstructed from X-ray micro CT data and exposed to a turbulent flow corresponding to water-depth and velocity data measured in the field. The total forces acting on each morphotype were found to be comparable. The lift coefficients computed and ranging from 0.07 to 0.17 are smaller than the drag coefficients which were found to range from 0.32 to 0.55. The local distribution of the skin-friction indicates flow-separation zones near the edges of the bodies, in particular, between the head and the pronotum, which are differently located according to each species. Moreover, we observe higher streamwise normal stresses upstream of the head of the filter feeder species. It is hypothesised that the upstream horseshoe vortex can lift up drifting food particles and transport these to the larvae’s filtering legs, thereby enhancing the encounter rates of particles with the filtering devices.
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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 (December 1, 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 safe trajectories; instead, this optimisation problem has usually been reduced to a single aggregated cost function covering all objectives. The aim is to develop a method of planning safe trajectories for MASSs that is able to simultaneously pursue the three abovementioned objectives, make decisions in real time and without interaction with a human operator, handle basic types of encounters (in open or restricted waters, and in good or restricted visibility) and guarantee compliance with the International Regulations for Preventing Collisions at Sea. It should also be mentioned that optimisation of the system based on each criterion may occur at the cost of the others, so a reasonable balance is applied here by means of a configurable trade-off. This is done throughout the EMO process by means of modified Pareto dominance rules and by using a multi-criteria decision-making phase to filter the output Pareto set and choose the final solution
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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 (May 23, 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 omnidirectional tele-presence robot for video transmission. We present a new algorithm to encounter the sensor noise with the least number of sensors for the estimation of Kalman filter. We have simulated the complete model of robot in Simulink and Matlab for the tough paths and critical hurdles. The robot successfully prevents the collision and reaches the destination. The mean errors for the estimation of position and velocity are 5.77% and 2.04%. To achieve efficient and reliable video transmission, the quality factors such as resolution, encoding, average delay and throughput are resolved using the WebRTC along with the integration of the communication protocols. To protect the data transmission, we have implemented the SSL protocol and installed it on the server. We tested three different cases of video resolutions (i.e., 320×280, 820×460 and 900×590) for the performance evaluation of the video transmission. For the highest resolution, our TPR takes 3.5 ms for the encoding, and the average delay is 2.70 ms with 900 × 590 pixels.
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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 (January 7, 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 step-size parameter used in the update equation. This paper proposes VRP-NLMS algorithm for frequency estimation in a power system. Regularization parameter is variable in the NLMS algorithm to adjust step-size parameter. Delayed signal cancellation (DSC) operator suppresses harmonics and negative sequence component of the voltage vector in a two-phase Î ± β plane. The DSC part is placed in front of the NLMS algorithm as a pre-filter and a positive sequence of the grid voltage is extracted. Findings By adapting of the step-size parameter, speed and accuracy of the LMS algorithm are improved. The DSC operator is augmented to the NLMS algorithm for more improvement of the performance of this adaptive filter. Simulation results validate that the proposed VRP-NLMS algorithm has a less misalignment of performance with more convergence rate. Originality/value This paper is a theoretical support to simulated system performance.
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Chu, Jacqueline, Omkar Ghenand, Joy Collins, James Byrne, Adam Wentworth, Peter R. Chai, Farah Dadabhoy, Chin Hur, and Giovanni Traverso. "Thinking green: modelling respirator reuse strategies to reduce cost and waste." BMJ Open 11, no. 7 (July 2021): e048687. http://dx.doi.org/10.1136/bmjopen-2021-048687.
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ObjectivesTo compare the impact of respirator extended use and reuse strategies with regard to cost and sustainability during the COVID-19 pandemic.DesignCost analysis.SettingUSA.ParticipantsAll healthcare workers within the USA.InterventionsNot applicable.Main outcome measuresA model was developed to estimate usage, costs and waste incurred by several respirator usage strategies over the first 6 months of the pandemic in the USA. This model assumed universal masking of all healthcare workers. Estimates were taken from the literature, government databases and commercially available data from approved vendors.ResultsA new N95 respirator per patient encounter would require 7.41 billion respirators, cost $6.38 billion and generate 84.0 million kg of waste in the USA over 6 months. One respirator per day per healthcare worker would require 3.29 billion respirators, cost $2.83 billion and generate 37.22 million kg of waste. Decontamination by ultraviolet germicidal irradiation would require 1.64 billion respirators, cost $1.41 billion and accumulate 18.61 million kg of waste. H2O2 vapour decontamination would require 1.15 billion respirators, cost $1.65 billion and produce 13.03 million kg of waste. One reusable respirator with daily disposable filters would require 18 million respirators, cost $1.24 billion and generate 15.73 million kg of waste. Pairing a reusable respirator with H2O2 vapour-decontaminated filters would reduce cost to $831 million and generate 1.58 million kg of waste. The use of one surgical mask per healthcare worker per day would require 3.29 billion masks, cost $460 million and generate 27.92 million kg of waste.ConclusionsDecontamination and reusable respirator-based strategies decreased the number of respirators used, costs and waste generated compared with single-use or daily extended-use of disposable respirators. Future development of low-cost,simple technologies to enable respirator and/or filter decontamination is needed to further minimise the economic and environmental costs of masks.
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Beinorius, Audrius. "Buddhism in the Early European Imagination: A Historical Perspective." Acta Orientalia Vilnensia 6, no. 2 (January 1, 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 represented in the Western imagination in a manner that reflects specifically Western concerns, interests, and aspirations. Europeans saw themselves as possessing the criteria upon which the judgement of the religious, social, and cultural value of Buddhism rests. Buddhism was constructed, essentialized and interpreted through Western images of the Oriental mind that provided ideological strategies and a hermeneutic filter.
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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 application traffic. Additionally, by employing a probability-based comprehensive analysis to filter out low-confidence background traffic interference, the reliability of recognition is further enhanced. Experimental comparisons are conducted to validate the efficacy of the proposed approach. The results demonstrate that the proposed method achieves a remarkable classification accuracy of 95.4% when confronted with background traffic interference, surpassing existing techniques by over 15% in terms of anti-interference performance.</p></abstract>
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Wang, Tzu-Kai, Yeh-Wei Yu, Tsung-Hsun Yang, Pin-Duan Huang, Guan-Yu Zhu, Chi-Chung Lau, and Ching-Cherng Sun. "Depth Image Completion through Iterative Low-Pass Filtering." Applied Sciences 14, no. 2 (January 14, 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 challenges, we implemented an iterative low-pass filter in the frequency domain, effectively mitigating noise and restoring high-quality depth data across all surfaces. To assess the efficacy of our method, deliberate introduction of significant noise and induced defects in the generated depth images was performed. The experimental results unequivocally demonstrate the promising accuracy, precision, and noise-resilient capabilities of our approach. Our implementation is publicly available on the project’s webpage.
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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 (December 9, 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. These approaches require deep knowledge of the non-linear noise characteristics of the sensors. On the other hand, as a subset of artificial intelligence (AI), neural network-based (NN) algorithms do not necessarily have these strict requirements. The current paper proposes an AI-based long short-term memory (LSTM) localization approach and evaluates its performance against the ground truth.
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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 (May 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-filter-observe paradigm. Internally, Spatialyze leverages the declarative nature of such workflows, the temporal-spatial metadata stored with videos, and physical behavior of real-world objects to optimize the execution of workflows. Our results using real-world videos and workflows show that Spatialyze can reduce execution time by up to 5.3×, while maintaining up to 97.1% accuracy compared to unoptimized execution.
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Kotov, D. V., H. C. Yee, A. A. Wray, A. Hadjadj, and B. Sjögreen. "High Order Numerical Methods for the Dynamic SGS Model of Turbulent Flows with Shocks." Communications in Computational Physics 19, no. 2 (February 2016): 273–300. http://dx.doi.org/10.4208/cicp.211014.040915a.
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AbstractSimulation of turbulent flows with shocks employing subgrid-scale (SGS) filtering may encounter a loss of accuracy in the vicinity of a shock. This paper addresses the accuracy improvement of LES of turbulent flows in two ways: (a) from the SGS model standpoint and (b) from the numerical method improvement standpoint. In an internal report, Kotov et al. ( “High Order Numerical Methods for large eddy simulation (LES) of Turbulent Flows with Shocks”, CTR Tech Brief, Oct. 2014, Stanford University), we performed a preliminary comparative study of different approaches to reduce the loss of accuracy within the framework of the dynamic Germano SGS model. The high order low dissipative method of Yee & Sjögreen (2009) using local flow sensors to control the amount of numerical dissipation where needed is used for the LES simulation. The considered improved dynamics model approaches include applying the one-sided SGS test filter of Sagaut & Germano (2005) and/or disabling the SGS terms at the shock location. For Mach 1.5 and 3 canonical shock-turbulence interaction problems, both of these approaches show a similar accuracy improvement to that of the full use of the SGS terms. The present study focuses on a five levels of grid refinement study to obtain the reference direct numerical simulation (DNS) solution for additional LES SGS comparison and approaches. One of the numerical accuracy improvements included here applies Harten's subcell resolution procedure to locate and sharpen the shock, and uses a one-sided test filter at the grid points adjacent to the exact shock location.
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Wu, Sze-jung, Mark Lehto, Jason Saleem, B. N. Doebbeling, and Yuehwern Yih. "Impact of Clinical Reminder Redesign on Physicians’ Priority Decisions." Applied Clinical Informatics 01, no. 04 (2010): 466–85. http://dx.doi.org/10.4338/aci-2010-05-ra-0029.
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Summary Objective: Computerized clinical reminder (CCR) systems can improve preventive service delivery by providing patient-specific reminders at the point of care. However, adherence varies between individual CCRs and is correlated to resolution time amongst other factors. This study aimed to evaluate how a proposed CCR redesign providing information explaining why the CCRs occurred would impact providers’ prioritization of individual CCRs. Design: Two CCR designs were prototyped to represent the original and the new design, respectively. The new CCR design incorporated a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter. Sixteen physicians participated in a controlled experiment to compare the use of the original and the new CCR systems. The subjects individually simulated a scenario-based patient encounter, followed by a semi-structured interview and survey. Measurements: We collected and analyzed the order in which the CCRs were prioritized, the perceived usefulness of each design feature, and semi-structured interview data. Results: We elicited the prioritization heuristics used by the physicians, and found a CCR system needed to be relevant, easy to resolve, and integrated with workflow. The redesign impacted 80% of physicians and 44% of prioritization decisions. Decisions were no longer correlated to resolution time given the new design. The proposed design features were rated useful or very useful. Conclusion: This study demonstrated that the redesign of a CCR system using a knowledge-based risk factor repository, a prioritization mechanism, and a role-based filter can impact clinicians’ decision making. These features are expected to ultimately improve the quality of care and patient safety.
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Robin, Hojiwala. "Image Color Balance with Laplacian and Gaussian Pyramid (CBLGP) Algorithm." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 19, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29427.
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In recent times, technology has rapidly and significantly evolved across all sectors. Digital image processing stands out as a modern technology aimed at achieving clear images. However, digitized images often encounter issues of low quality, such as unclear or underwater images that require enhancement for better visibility. These problems stem from factors like deficient focusing, lighting, and various constraints leading to low contrast, shading, and artifacts. Underwater and satellite images consistently face less-than-ideal conditions due to environmental factors like light refraction in water, particle scattering, and dust in aquatic environments. Similarly, challenges in space, such as poor illumination and lack of contrast, further complicate image analysis. Overcoming these obstacles is crucial for extracting valuable information, necessitating advanced processing techniques. This paper introduces an enhanced Gaussian/Laplace color balance-fusion algorithm designed to improve image visibility. Modifications to certain equations result in sharper and clearer images. The algorithm begins by determining the white balance of the input RGB color image and subsequently enhances its intensity. Edge improvement is carried out separately using a depth filter. The weights for each image are then determined and combined to form a Laplace Pyramid. A color restoration technique is applied to process the resulting image, producing the final enhanced image. While existing methods for image contrast enhancement typically focus on image features, they often neglect user characteristics. This paper explores the application of image sharpening, a prominent image enhancement technique, in clearing underwater or low-quality images using the proposed algorithm. Keywords: EDSHE, High pass filter, White patch ratix, Laplacian pyramid, Color restoration.
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Zhang, Houzhong, Lin Xu, Jiasheng Liang, and Xiaoqiang Sun. "Research on Guide Line Identification and Lateral Motion Control of AGV in Complex Environments." Machines 10, no. 2 (February 9, 2022): 121. http://dx.doi.org/10.3390/machines10020121.
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During actual operations, Automatic Guided Vehicles (AGV) will inevitably encounter the phenomena of overexposure or shadowy areas, and unclear or even damaged guide wires, which interfere with the identification of guide wires. Therefore, this paper aims to solve the shortcomings of existing technology at the software level. Firstly, a Fast Guide Filter (FGF) is adopted with the two-dimensional gamma function with variable parameters, and an image preprocessing algorithm in a complex illumination environment is designed to get rid of the interference of illumination. Secondly, an ant colony edge detection algorithm is proposed, and the guide wire is accurately extracted by secondary screening combined with the guide wire characteristics; A variable universe Fuzzy Sliding Mode Control (FSMC) algorithm is designed as a lateral motion control method to realize the accurate tracking of AGV. Finally, the experimental platform is used to comprehensively verify the series of algorithms designed in this paper. The experimental results show that the maximum deviation can be limited to 1.2 mm, and the variance of the deviation is less than 0.2688 mm2.
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Costin, Alexandra-Florenţa. "Negotiating In Cross-Cultural Contexts." International conference KNOWLEDGE-BASED ORGANIZATION 21, no. 1 (June 1, 2015): 185–91. http://dx.doi.org/10.1515/kbo-2015-0030.
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Abstract Accentuated by globalization, the overlapping and the dissemination of values, beliefs and perceptions pertaining to different cultures have reached an unprecedented level, phenomenon which, with the contribution of new technologies and the international media, led to the creation of a new global culture. The constant movement of large masses of people with different personal goals has brought into contact individuals coming from various cultures, who found themselves in the position of trying to understand, filter and harmonize new cultural practices as well as developing skills for coping with them; due to widespread businesses spanning national borders, negotiation practitioners frequently encounter business opponents from unfamiliar cultures and resort to strategies and tactics meant to cross cultural boundaries and the obstacles of the business context. The paper is an overview of concepts and findings regarding the origin of the global culture as cultural co-existence in the international space, with an emphasis on the concepts of cross-cultural communication and cross-cultural competence, cultural variables and their impact on cross-cultural negotiations.
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Glossiotis, G., and I. Antoniadis. "Payload sway suppression in rotary cranes by digital filtering of the commanded inputs." Proceedings of the Institution of Mechanical Engineers, Part K: Journal of Multi-body Dynamics 217, no. 2 (June 1, 2003): 99–109. http://dx.doi.org/10.1243/146441903321898593.
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A method is proposed for the suppression of the sway of rotary crane payloads. In contrast to closed-loop control methods which encounter significant practical application problems, the proposed method is based simply on the preprocessing of all the commanded crane inputs by a properly designed finite impulse response (FIR) filter. A four-degrees-of-freedom (4DOF) model for the rotary crane system is considered, incorporating both the hoisting and the slewing motions and thus able to handle cases where hoisting can be simultaneously applied to the rotary motion. Although the resulting dynamic system is strongly non-linear and time varying, the method is shown effectively to suppress, in a quite robust, time and energy efficient way, both the transient as well as the residual sway of the payload. Moreover, additional advantages of the proposed method are that no dynamic modelling of the crane is required, and that the applicability of the method is quite easy and general, without the need for any additional instrumentation and control equipment.
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Ma, Ding, Zhezhou Yu, JiKun Yu, and Wei Pang. "A Novel Object Tracking Algorithm Based on Compressed Sensing and Entropy of Information." Mathematical Problems in Engineering 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/628101.
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Object tracking has always been a hot research topic in the field of computer vision; its purpose is to track objects with specific characteristics or representation and estimate the information of objects such as their locations, sizes, and rotation angles in the current frame. Object tracking in complex scenes will usually encounter various sorts of challenges, such as location change, dimension change, illumination change, perception change, and occlusion. This paper proposed a novel object tracking algorithm based on compressed sensing and information entropy to address these challenges. First, objects are characterized by the Haar (Haar-like) and ORB features. Second, the dimensions of computation space of the Haar and ORB features are effectively reduced through compressed sensing. Then the above-mentioned features are fused based on information entropy. Finally, in the particle filter framework, an object location was obtained by selecting candidate object locations in the current frame from the local context neighboring the optimal locations in the last frame. Our extensive experimental results demonstrated that this method was able to effectively address the challenges of perception change, illumination change, and large area occlusion, which made it achieve better performance than existing approaches such as MIL and CT.
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Dachasilaruk, Siriporn, Niphat Jantharamin, and Apichai Rungruang. "Speech intelligibility enhancement for Thai-speaking cochlear implant listeners." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (March 1, 2019): 866. http://dx.doi.org/10.11591/ijeecs.v13.i3.pp866-875.
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Cochlear implant (CI) listeners encounter difficulties in communicating with other persons in noisy listening environments. However, most CI research has been carried out using the English language. In this study, single-channel speech enhancement (SE) strategies as a pre-processing approach for the CI system were investigated in terms of Thai speech intelligibility improvement. Two SE algorithms, namely multi-band spectral subtraction (MBSS) and Weiner filter (WF) algorithms, were evaluated. Speech signals consisting of monosyllabic and bisyllabic Thai words were degraded by speech-shaped noise and babble noise at SNR levels of 0, 5, and 10 dB. Then the noisy words were enhanced using SE algorithms. The enhanced words were fed into the CI system to synthesize vocoded speech. The vocoded speech was presented to twenty normal-hearing listeners. The results indicated that speech intelligibility was marginally improved by the MBSS algorithm and significantly improved by the WF algorithm in some conditions. The enhanced bisyllabic words showed a noticeably higher intelligibility improvement than the enhanced monosyllabic words in all conditions, particularly in speech-shaped noise. Such outcomes may be beneficial to Thai-speaking CI listeners.
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Vieira de Oliveira, Pedro. "How to problematize a border, or: some ongoing notes on transient methodologies." Artnodes, no. 34 (April 15, 2024): 1–8. http://dx.doi.org/10.7238/artnodes.v0i34.424935.
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In this paper I rehearse a method for studying media that is engaged by what I am calling a transient methodology. This work with “transients“ emerges as much as an analytical tool as it does as a material engagement, in direct connection with my encounter with a GDR-era synthesizer prototype, the Subharchord I/II, and its use of a specific audio filter design which is found again only forty years later as a building block for most state-of-the-art speech recognition algorithms. I am particularly interested in one such algorithm, namely the so-called “Dialect Recognition Software”, a proprietary machine learning solution in use since 2017 by the German Office for Migration and Refugees in cases of undocumented asylum seekers in the country. By bringing these two stories closer and mobilizing them through the work of transients – a concept that works in sound as much as it does in movement – I seek to activate an experimental, speculative media archaeology that focuses on the haptics of listening. Transient methodologies, I argue, offer the potential to critically listen to these two technologies together while at the same time slowing them down for critical inquiry and analysis.
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Lu, Yi-Hsien, Chia-Chihuang Chia-Chihuang, Chih-Chung Chou, and Cheng-Fu Chou. "ORB Visual and WiFi Online RSSI fusion SLAM." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 21 (September 3, 2024): 398–408. http://dx.doi.org/10.37394/23209.2024.21.37.
Full textAbstract:
Simultaneous Localization and Mapping (SLAM) technologies are indispensable for indoor service robots, enabling them to navigate through and interact with environments. Visual SLAM systems often encounter significant challenges such as dynamic obstacles, variable lighting, feature scarcity, and perceptual aliasing in real-world scenarios. By merging the precise environmental mapping capabilities of visual SLAM with the ubiquity and stability of WiFi signals, our method effectively addresses the limitations typically associated with visual SLAM. Notably, our fusion technique leverages existing WiFi infrastructure, thus providing a cost-effective improvement in spatial awareness without the extensive offline database requirements of WiFi RSSI-based localization. Comparative performance evaluations highlight that our graph optimization-based approach not only surpasses the original ORBSLAM3 method but also significantly outperforms the Extended Kalman Filter (EKF) in terms of accuracy, particularly in environments characterized by poor lighting, feature-less scenes, and significant occlusions. This is evidenced by a reduced Root Mean Square Error (RMSE) in localization: 3.09m for our method versus 4.02m for EKF. This enhancement in precision underscores the potential of our integrated system to advance indoor navigation technologies, making it a crucial development in the field of robotics and automated systems.