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1
Maier, Joost X. "Single-neuron responses to intraoral delivery of odor solutions in primary olfactory and gustatory cortex." Journal of Neurophysiology 117, no. 3 (March 1, 2017): 1293–304. http://dx.doi.org/10.1152/jn.00802.2016.
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Smell plays a major role in our perception of food. Odorants released inside the mouth during consumption are combined with taste and texture qualities of a food to guide flavor preference learning and food choice behavior. Here, we built on recent physiological findings that implicated primary sensory cortex in multisensory flavor processing. Specifically, we used extracellular recordings in awake rats to characterize responses of single neurons in primary olfactory (OC) and gustatory cortex (GC) to intraoral delivery of odor solutions and compare odor responses to taste and plain water responses. The data reveal responses to olfactory, oral somatosensory, and gustatory qualities of intraoral stimuli in both OC and GC. Moreover, modality-specific responses overlap in time, indicating temporal convergence of multisensory, flavor-related inputs. The results extend previous work suggesting a role for primary OC in mediating influences of taste on smell that characterize flavor perception and point to an integral role for GC in olfactory processing. NEW & NOTEWORTHY Food perception is inherently multisensory, taking into account taste, smell, and texture qualities. However, the neural mechanisms underlying flavor perception remain unknown. Recording neural activity directly from the rat brain while animals consume multisensory flavor stimuli, we demonstrate that information about odor, taste, and mouthfeel of food converges on primary taste and smell cortex. The results suggest that processing of naturalistic, multisensory information involves an interacting network of primary sensory areas.
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Bobreshova, Olga V., Anna V. Parshina, and Ksenia A. Polumestnaya. "Potentiometric Multisensory Systems with Novel Ion-Exchange Polymer-Based Sensors for Analysis of Drugs." International Journal of Electrochemistry 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/392735.
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This paper examines potentiometric multisensory systems that consist of novel cross-sensitive PD-sensors (Potential Donnan-sensors). The analytical signal of PD-sensors is the Donnan potential at the ion-exchange polymer/electrolyte test solution interface. The use of novel sensors for the quantitative analysis of multicomponent aqueous solutions of amino acids, vitamins and medical substances is based on protolytic and ion-exchange reactions at the interfaces of ion-exchangers and test solutions. The potentiometric sensor arrays consist of PD-sensors and ion-selective electrodes. Such systems were developed for the multicomponent quantitative analysis of lysine monohydrochloride, thiamine chloride and novocaine hydrochloride solutions that contained salts of alkaline and alkaline-earth metals, as well as for mixed solutions of nicotinic acid and pyridoxine hydrochloride. Multivariate methods of analysis were used for sensor calibration and the analysis of the total response of sensor arrays. The errors of measurement of the electrolytes in aqueous solutions did not exceed 10%. The developed multisensory systems were used to determine the composition of a therapeutic “Mineral salt with low content of sodium chloride” and to determine concentrations of novocaine in sewage samples from a dental clinic.
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Noppeney, Uta. "Perceptual Inference, Learning, and Attention in a Multisensory World." Annual Review of Neuroscience 44, no. 1 (July 8, 2021): 449–73. http://dx.doi.org/10.1146/annurev-neuro-100120-085519.
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Adaptive behavior in a complex, dynamic, and multisensory world poses some of the most fundamental computational challenges for the brain, notably inference, decision-making, learning, binding, and attention. We first discuss how the brain integrates sensory signals from the same source to support perceptual inference and decision-making by weighting them according to their momentary sensory uncertainties. We then show how observers solve the binding or causal inference problem—deciding whether signals come from common causes and should hence be integrated or else be treated independently. Next, we describe the multifarious interplay between multisensory processing and attention. We argue that attentional mechanisms are crucial to compute approximate solutions to the binding problem in naturalistic environments when complex time-varying signals arise from myriad causes. Finally, we review how the brain dynamically adapts multisensory processing to a changing world across multiple timescales.
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Maki, Takuma, and Hideyoshi Yanagisawa. "A Methodology for Multisensory Product Experience Design Using Cross-modal Effect: A Case of SLR Camera." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (July 2019): 3801–10. http://dx.doi.org/10.1017/dsi.2019.387.
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AbstractThroughout the course of product experience, a user employs multiple senses, including vision, hearing, and touch. Previous cross-modal studies have shown that multiple senses interact with each other and change perceptions. In this paper, we propose a methodology for designing multisensory product experiences by applying cross-modal effect to simultaneous stimuli. In this methodology, we first obtain a model of the comprehensive cognitive structure of user's multisensory experience by applying Kansei modeling methodology and extract opportunities of cross-modal effect from the structure. Second, we conduct experiments on these cross-modal effects and formulate them by obtaining a regression curve through analysis. Finally, we find solutions to improve the product sensory experience from the regression model of the target cross-modal effects. We demonstrated the validity of the methodology with SLR cameras as a case study, which is a typical product with multisensory perceptions.
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MINOR, CHRISTIAN P., DANIEL A. STEINHURST, KEVIN J. JOHNSON, SUSAN L. ROSE-PEHRSSON, JEFFREY C. OWRUTSKY, STEPHEN C. WALES, and DANIEL T. GOTTUK. "MULTISENSORY DETECTION SYSTEM FOR DAMAGE CONTROL AND SITUATIONAL AWARENESS." International Journal of High Speed Electronics and Systems 18, no. 03 (September 2008): 575–92. http://dx.doi.org/10.1142/s0129156408005588.
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A data fusion-based, multisensory detection system, called “Volume Sensor”, was developed under the Advanced Damage Countermeasures (ADC) portion of the US Navy's Future Naval Capabilities program (FNC) to meet reduced manning goals. A diverse group of sensing modalities was chosen to provide an automated damage control monitoring capability that could be constructed at a relatively low cost and also easily integrated into existing ship infrastructure. Volume Sensor employs an efficient, scalable, and adaptable design framework that can serve as a template for heterogeneous sensor network integration for situational awareness. In the development of Volume Sensor, a number of challenges were addressed and met with solutions that are applicable to heterogeneous sensor networks of any type. These solutions include: 1) a uniform, but general format for encapsulating sensor data, 2) a communications protocol for the transfer of sensor data and command and control of networked sensor systems, 3) the development of event specific data fusion algorithms, and 4) the design and implementation of modular and scalable system architecture. In full-scale testing on a shipboard environment, two prototype Volume Sensor systems demonstrated the capability to provide highly accurate and timely situational awareness regarding damage control events while simultaneously imparting a negligible footprint on the ship's 100 Mbps Ethernet network and maintaining smooth and reliable operation in a real-time fashion.
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Brill, J. Christopher, Anthony Gibson, Ben D. Lawson, and Angus H. Rupert. "Error Analysis for Localization of Multisensory Cues for Countering Spatial Disorientation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (September 2018): 1062–66. http://dx.doi.org/10.1177/1541931218621244.
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Decrements in situation awareness (SA) remain an important research topic, due to its influence on spatial disorientation (SD). Multisensory displays (e.g., three-dimensional audio and audiotactile displays) present potential solutions to SD related to SA loss. The current study investigated the differences in performance across six different modality conditions (i.e., visual, audio, tactile, audiotactile, visuotactile, and audiovisual). The results indicated that localization errors were largest when participants were provided with auditory cues, which is consistent with prior research findings.
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Nechita, Florin, and Catalina-Ionela Rezeanu. "Augmenting Museum Communication Services to Create Young Audiences." Sustainability 11, no. 20 (October 21, 2019): 5830. http://dx.doi.org/10.3390/su11205830.
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The aim of this paper is to demonstrate how museums use Augmented Reality (AR) to enhance communication services with their audiences and attract new ones. Still, there is no definite answer to how young audiences perceive the educational effects of experiencing this augmented space of communication as an immersive medium. This study is based on a survey of 400 students after they visited an AR technology-enhanced exhibition held by a local history museum. Two stimulus–response marketing scale metrics, widely used to assess TV commercials, were adapted for AR experiences and validated. The mediation analysis revealed an intervening emotional mechanism, in which the multisensory AR experience has educational effects through entertainment and empathy. An improved stimulus–response empirical model is proposed, in which AR technologies, as environmental multisensory stimuli, produce cognitive responses through emotional immersion. The findings have significance in improving how museums encode their message using AR technologies as a secondary communication medium with young audiences. This study could help museum professionals and application developers to find AR implementation solutions as service tools to enhancing user experience by using a widely tested scale for evaluating TV commercials applied to measure AR experiences.
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Titova, T. S., P. A. Yurova, D. D. Evdokimova, T. S. Kolganova, A. V. Parshina, I. A. Stenina, O. V. Bobreshova, and A. B. Yaroslavtsev. "Multisensory Systems Based on Nafion Membranes Modified by PEDOT for the Determination of Sulfacetamide in Aqueous Solutions and Pharmaceuticals." Membranes and Membrane Technologies 2, no. 6 (November 2020): 417–25. http://dx.doi.org/10.1134/s2517751620060098.
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Piga, Barbara E. A., Nicola Rainiso, and Marco Boffi. "Experiential Simulation and Psychological assessment as a learning process in architectural higher education." SHS Web of Conferences 64 (2019): 02013. http://dx.doi.org/10.1051/shsconf/20196402013.
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This paper presents the advancements of an applied methodology developed by the authors, namely an architect and two environmental psychologists, based on Virtual Reality coupled with psychological surveys − developed ad hoc by the authors − for urban design; in particular, the paper discusses its application in the field of architectural higher education. The proposed method is based on the pre-evaluation of people’s urban experience for testing the effectiveness of design solutions, discovering the unforeseen, and reducing the risk of failure. The method connects architectural to psychological approaches and investigations. The procedure can be schematized as follows: (1) final users navigate the simulation of the design scheme and feedback is collected; (2) the analysis of these collected data is run by professionals and discussed with the designers that then develop the final design solution. In this contribution, we illustrate the application to the urban design development carried out by 100 students of the last year of the Master of Science in Architecture and Urban Planning working in groups. The paper will firstly synthetically present the overall research; secondly, it will argue about its application for higher education; finally, it will conclude by describing the pros and cons of the experimentation, especially in relation to the whole learning and maieutic process and its impact on the design solutions adopted by students, with a focus on the experiential multisensory design.
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Tuena, Cosimo, Silvia Serino, Elisa Pedroli, Marco Stramba-Badiale, Giuseppe Riva, and Claudia Repetto. "Building Embodied Spaces for Spatial Memory Neurorehabilitation with Virtual Reality in Normal and Pathological Aging." Brain Sciences 11, no. 8 (August 14, 2021): 1067. http://dx.doi.org/10.3390/brainsci11081067.
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Along with deficits in spatial cognition, a decline in body-related information is observed in aging and is thought to contribute to impairments in navigation, memory, and space perception. According to the embodied cognition theories, bodily and environmental information play a crucial role in defining cognitive representations. Thanks to the possibility to involve body-related information, manipulate environmental stimuli, and add multisensory cues, virtual reality is one of the best candidates for spatial memory rehabilitation in aging for its embodied potential. However, current virtual neurorehabilitation solutions for aging and neurodegenerative diseases are in their infancy. Here, we discuss three concepts that could be used to improve embodied representations of the space with virtual reality. The virtual bodily representation is the combination of idiothetic information involved during virtual navigation thanks to input/output devices; the spatial affordances are environmental or symbolic elements used by the individual to act in the virtual environment; finally, the virtual enactment effect is the enhancement on spatial memory provided by actively (cognitively and/or bodily) interacting with the virtual space and its elements. Theoretical and empirical findings will be presented to propose innovative rehabilitative solutions in aging for spatial memory and navigation.
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Semenova, V. A., and E. M. Petrenko. "Identification and Comparative Analysis of Alkaloids by Inversion Voltammetry Method." Herald of the Bauman Moscow State Technical University. Series Natural Sciences, no. 6 (87) (December 2019): 113–21. http://dx.doi.org/10.18698/1812-3368-2019-6-113-121.
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The alkaloids concurrent detection and identification in the samples by the method of multisensory inversion voltammetry is the purpose of the work. To achieve this goal, the proposed method has been substantiated, the composition of the electrochemical test system has been optimized taking into account the specifics of the detected substances, and informative signs that characterize the presence of alkaloids in the studied sample have been found. A new approach, consisting in the use of an electrochemical multisensor test system in the form of a solution containing a set of metal ions that can form complex compounds with organic substances, has been developed and scientifically approved. The results showed that each organic substance has a different effect on the electrochemical behavior of the multisensory test system. The use of such a test system made it possible to model the principle currently defined by the term "Electronic tongue". An electronic database has been prepared according to the results of the electroanalytical studies, which made it possible to identify the detected substance by comparing it with analyzed sample. The proposed electrochemical method, which is based on multisensor inversion voltammetry, allows the detection and identification of both narcotic drugs and psychotropic substances with high confidence for a small mass of the sample.
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Hahn, Michael E., Corrine M. Mueller, and Jenna L. Gorlewicz. "The Comprehension of STEM Graphics via a Multisensory Tablet Electronic Device by Students with Visual Impairments." Journal of Visual Impairment & Blindness 113, no. 5 (September 2019): 404–18. http://dx.doi.org/10.1177/0145482x19876463.
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Introduction: The current work probes the effectiveness of multimodal touch screen tablet electronic devices in conveying science, technology, engineering, and mathematics graphics via vibrations and sounds to individuals who are visually impaired (i.e., blind or low vision) and compares it with similar graphics presented in an embossed format. Method: A volunteer sample of 22 participants who are visually impaired, selected from a summer camp and local schools for blind students, were recruited for the current study. Participants were first briefly (∼30 min) trained on how to explore graphics via a multimodal touch screen tablet. They then explored six graphic types (number line, table, pie chart, bar chart, line graph, and map) displayed via embossed paper and tablet. Participants answered three content questions per graphic type following exploration. Results: Participants were only 6% more accurate when answering questions regarding an embossed graphic as opposed to a tablet graphic. A paired-samples t test indicated that this difference was not significant, t(14) = 1.91, p = .07. Follow-up analyses indicated that presentation medium did not interact with graphic type, F(5, 50) = 0.43, p = .83, nor visual ability, F(1, 13) = 0.00, p = .96. Discussion: The findings demonstrate that multimodal touch screen tablets may be comparable to embossed graphics in conveying iconographic science and mathematics content to individuals with visual impairments, regardless of the severity of impairment. The relative equivalence in response accuracy between mediums was unexpected, given that most students who participated were braille readers and had experience reading embossed graphics, whereas they were introduced to the tablet the day of testing. Implications for practitioners: This work illustrates that multimodal touch screen tablets may be an effective option for general education teachers or teachers of students with visual impairments to use in their educational practices. Currently, preparation of accessible graphics is time consuming and requires significant preparation, but such tablets provide solutions for offering “real-time” displays of these graphics for presentation in class.
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Spence, Charles. "Scent in the Context of Live Performance." i-Perception 12, no. 1 (January 2021): 204166952098553. http://dx.doi.org/10.1177/2041669520985537.
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Ambient smell has long been a feature of live performance, no matter whether its presence was intentional or not. While, once upon a time, the incidental presence of malodour was an inevitable feature of proceedings, the deliberate use of scent can actually be traced all the way back to the earliest rituals. This review attempts to trace the long history of scent’s use in processions, pageants, and, most important, performance. From Shakespeare’s time onward, scent has been used as an atmospheric/ambient cue. It has been used to create a certain mood, to trigger memories/nostalgia, and, on occasion, it has also served a narrative role. While the use of scent has often been merely illustrative (or pleonastic), there have been numerous occasions where olfactory stimulation has taken on a far more important evaluative role, critical or otherwise. Most often, this has been in the theatre, but also on occasion in the context of the opera, musical, ballet, and comedy too. In recent years, there has been a resurgence of interest in scenting live performance/entertainment, especially in the context of highly immersive and experiential multisensory events. While high-tech solutions to scent delivery have been a prominent feature of its use in the cinema, low-tech solutions have more often been incorporated in the live-performance setting. This and a number of other important differences between scent’s use in the theatrical versus cinematic setting are highlighted.
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König, Caroline, and Ahmed Mohamed Helmi. "Sensitivity Analysis of Sensors in a Hydraulic Condition Monitoring System Using CNN Models." Sensors 20, no. 11 (June 10, 2020): 3307. http://dx.doi.org/10.3390/s20113307.
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Condition monitoring (CM) is a useful application in industry 4.0, where the machine’s health is controlled by computational intelligence methods. Data-driven models, especially from the field of deep learning, are efficient solutions for the analysis of time series sensor data due to their ability to recognize patterns in high dimensional data and to track the temporal evolution of the signal. Despite the excellent performance of deep learning models in many applications, additional requirements regarding the interpretability of machine learning models are getting relevant. In this work, we present a study on the sensitivity of sensors in a deep learning based CM system providing high-level information about the relevance of the sensors. Several convolutional neural networks (CNN) have been constructed from a multisensory dataset for the prediction of different degradation states in a hydraulic system. An attribution analysis of the input features provided insights about the contribution of each sensor in the prediction of the classifier. Relevant sensors were identified, and CNN models built on the selected sensors resulted equal in prediction quality to the original models. The information about the relevance of sensors is useful for the system’s design to decide timely on the required sensors.
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Susanto, Eri, and Aninditya Sri Nugraheni. "METODE VAKT SOLUSI UNTUK KESULITAN BELAJAR MEMBACA PERMULAAN PADA ANAK HIPERAKTIF." Muallimuna : Jurnal Madrasah Ibtidaiyah 6, no. 1 (October 30, 2020): 9. http://dx.doi.org/10.31602/muallimuna.v6i1.2506.
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AbstrakPenelitian ini dilakukun dengan tujuan untuk memecahkan masalah yang dihadapi oleh guru kelas ketika mengajarkan membaca anak ABK dengan tipe hiperaktif. Metode VAKT yang focus dengan penggunaan seluruh multisensori yang dimiliki manusia, diharapkan dapat memberikan solusi guru dalam mengajar siswa ABK tipe hiperaktif dengan kesulitan belajar membaca permulaan. Penelitian ini merupakan hasil dari kajian pustaka dengan cara riset kepustakaan. Hasil penelitian ini mengungkapkan langkah-langkah pembelajaran dengan metode VAKT ini yaitu; langkah pertama dari aspek visual yaitu, guru mulai membagikan katu huruf lalu mengucapkannya, lalu siswa diminta untuk melihat dan ikut mengucapkannya, langkah kedua dari aspek auditori, guru mengucapkan bunyi guruf dan siswa mendengar dan mengikutinya, selanjutnya guru akan bertanya ke siswa bunyi huruf tersebut lalu siswa menyebutkan bunyinya, langkah ketiga dari aspek kinestetik, guru menuliskan huruf yang diajarkan diudara, dan siswa mengikutinya. Dan langkah yang terakhir adalah aspek taktil, guru membagikan kartu huruf lagi dan setelah terbagi rata kesemua siswa, guru meminta siswa untuk meraba kartu huruf dengan mengikuti bentuk huruf yang ada di kartu.AbstractThis research was conducted with the aim of solving the problems faced by class teachers when teaching reading ABK children with hyperactive types. The VAKT method that focuses on the use of all human-owned multisensory, is expected to provide teacher solutions in teaching hyperactive ABK type students with difficulty learning to begin reading. This research is the result of literature review by library research. The results of this study reveal the steps of learning with this VAKT method namely; the first step from the visual aspect is, the teacher starts distributing katu letters then pronounce it, then students are asked to see and participate in saying it, the second step is from the auditory aspect, the teacher utters the sound of the guruf and students hear and follow it, then the teacher will ask students the sound of the letter then students mention the sound, the third step from the kinesthetic aspect, the teacher writes the letters taught in the air, and the students follow them. And the last step is the tactile aspect, the teacher distributes the letter cards again and after evenly divided all students, the teacher asks students to feel the letter cards by following the shape of the letters on the cards.
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Parshina, Kоlganova, Safronova, Osipov, Lapshina, Yelnikova, Bobreshova, and Yaroslavtsev. "Perfluorosulfonic Acid Membranes Thermally Treated and Modified by Dopants with Proton-Acceptor Properties for Asparaginate and Potassium Ions Determination in Pharmaceuticals." Membranes 9, no. 11 (October 30, 2019): 142. http://dx.doi.org/10.3390/membranes9110142.
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The influence of incorporation of the dopants with proton-acceptor properties into perfluorosulfonic acid cation exchange membranes (MF-4SC and Nafion), and their treatment conditions on the characteristics of Donnan potential (DP)-sensors (analytical signal is the Donnan potential) in the aqueous solutions containing asparaginate and potassium ions in a wide pH range was investigated. A silica, surface modified by 3-aminopropyl and 3-(2-imidazolin-1-yl)-propyl groups, was used as the dopant. The membranes were subjected to mechanical deformation and thermal treatment at various relative humidities. The relationship between water uptake and diffusion permeability of membranes subjected to modification and treatment and the cross sensitivity of DP-sensors based on them to counter and co-ions was studied. The multisensory systems for the simultaneous determination of asparaginate and potassium ions in a concentration range from 1.0 × 10−4 to 1.0 × 10−2 M and pH range from 4 to 8 were developed. An array of cross-sensitive DP-sensors based on MF-4SC membranes containing 3 wt.% SiO2 modified by 10 mol.% 3-aminopropyl and 3-(2-imidazolin-1-yl)-propyl was used for the potassium asparaginate hemihydrate and magnesium asparaginate pentahydrate determination in Panangin® (with an error of 2 and 4%, respectively).
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Lemon, Christian H. "Modulation of taste processing by temperature." American Journal of Physiology-Regulatory, Integrative and Comparative Physiology 313, no. 4 (October 1, 2017): R305—R321. http://dx.doi.org/10.1152/ajpregu.00089.2017.
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Taste stimuli have a temperature that can stimulate thermosensitive neural machinery in the mouth during gustatory experience. Although taste and oral temperature are sometimes discussed as different oral sensory modalities, there is a body of literature that demonstrates temperature is an important component and modulator of the intensity of gustatory neural and perceptual responses. Available data indicate that the influence of temperature on taste, herein referred to as “thermogustation,” can vary across taste qualities, can also vary among stimuli presumed to share a common taste quality, and is conditioned on taste stimulus concentration, with neuronal and psychophysical data revealing larger modulatory effects of temperature on gustatory responding to weakened taste solutions compared with concentrated. What is more, thermogustation is evidenced to involve interplay between mouth and stimulus temperature. Given these and other dependencies, identifying principles by which thermal input affects gustatory information flow in the nervous system may be important for ultimately unravelling the organization of neural circuits for taste and defining their involvement with multisensory processing related to flavor. Yet thermal effects are relatively understudied in gustatory neuroscience. Major gaps in our understanding of the mechanisms and consequences of thermogustation include delineating supporting receptors, the potential involvement of oral thermal and somatosensory trigeminal neurons in thermogustatory interactions, and the broader operational roles of temperature in gustatory processing. This review will discuss these and other issues in the context of the literature relevant to understanding thermogustation.
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Dupeyroux, Julien, Julien R. Serres, and Stéphane Viollet. "AntBot: A six-legged walking robot able to home like desert ants in outdoor environments." Science Robotics 4, no. 27 (February 13, 2019): eaau0307. http://dx.doi.org/10.1126/scirobotics.aau0307.
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Autonomous outdoor navigation requires reliable multisensory fusion strategies. Desert ants travel widely every day, showing unrivaled navigation performance using only a few thousand neurons. In the desert, pheromones are instantly destroyed by the extreme heat. To navigate safely in this hostile environment, desert ants assess their heading from the polarized pattern of skylight and judge the distance traveled based on both a stride-counting method and the optic flow, i.e., the rate at which the ground moves across the eye. This process is called path integration (PI). Although many methods of endowing mobile robots with outdoor localization have been developed recently, most of them are still prone to considerable drift and uncertainty. We tested several ant-inspired solutions to outdoor homing navigation problems on a legged robot using two optical sensors equipped with just 14 pixels, two of which were dedicated to an insect-inspired compass sensitive to ultraviolet light. When combined with two rotating polarized filters, this compass was equivalent to two costly arrays composed of 374 photosensors, each of which was tuned to a specific polarization angle. The other 12 pixels were dedicated to optic flow measurements. Results show that our ant-inspired methods of navigation give precise performances. The mean homing error recorded during the overall trajectory was as small as 0.67% under lighting conditions similar to those encountered by ants. These findings show that ant-inspired PI strategies can be used to complement classical techniques with a high level of robustness and efficiency.
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Botwina, Renata. "Towards Effective Foreign Language Teaching: Focus on Dyslexia." Verbum 2 (February 6, 2011): 55–61. http://dx.doi.org/10.15388/verb.2011.2.4955.
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This paper aims to overview the problems faced by dyslexic students learning a foreign language in the theoretical framework of foreign language teaching methodology (Berninger and Wolf 2009, Crombie 2010, Stasiak 2004, etc.) and psychology (Gardner 1983, 1999, Bogdanowicz 2002, 2004, Davis 1997, etc) The author of the paper is going to prove that dyslexic students benefit from the use of multisensory techniques (VAK) which stimulate their learning process by engaging students at multiple levels of perception. Special attention is given to the nature of dyslexia, its types and handicaps it results in. Numerous solutions to the problem are presented and analysed within the framework of Gardner’s theory of Multiple Intelligences (MIT), which seeks to explore each student’s strong intelligences to deal with those weaker ones. Accordingly, dyslexic students and their teachers should be challenged to recognise the hidden potential of dyslexia and see it as a gift to be explored. Moreover, the importance of safe classroom environment has been stressed, as once a dyslexic student feels comfortable in the classroom, the teacher can equip him with a range of techniques and strategies to deal with dyslexia successfully. In addition, a significant role of the teacher and parents in the process of teaching dyslexics is discussed. Finally, the author of the paper gives a number of practical tips how to deal with dyslexia and proves that foreign language teaching (FLT) can be both effective and enjoyable for those who encounter this handicap.
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Sujin, J. S., N. Gandhiraj, D. Selvakumar, and Satheesh S. Kumar. "Public E-Health Network System Using Arduino Controller." Journal of Computational and Theoretical Nanoscience 16, no. 2 (February 1, 2019): 544–49. http://dx.doi.org/10.1166/jctn.2019.7766.
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An E-health Multifunctional system is proposed for people in all age category in this work. Simply, the different sensors are fixed on a coat. When the coatis worn by people, the sensors situated in the coat will be get activated. Then it will automatically examine various parameters about health and the same information send to monitor or website or mobile. This is used for personal and social use. An example is presented with different sensor signals and continuous Real time monitoring the health changes from the home. Sensors are embedded in to the atmosphere, it will give various changes which is differs from behavior of human biological signals and activity with patterns. Changes in signals are detected to each potential point of changing health. The information from the sensors investigated and it will store and uses this for making a comparison of last 180 days status. A 1-D alert algorithm integrated to the system where the health alerts to nurse or doctor which is already fixed or pre decided. Research work is based on analyze of each alert signals and monitoring the comparative signal on the hospital relevance. This result is used for a training classes and best medical solutions. The information about health is managed for future purpose using database. A methodology is introduced in this work with 10 sensors that are capable of multisensory signals and data Management of Real-time signals. Information is processed at various sensor nodes and transfers to the main hub for further processing.
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Sullivan, Steven M. "Making an Unstable World more Accessible: Using Universal Design to make Collections and Exhibits Memorable for People of all Abilities." Biodiversity Information Science and Standards 2 (June 13, 2018): e25666. http://dx.doi.org/10.3897/biss.2.25666.
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Make your collections memorable and accessible to audiences of all abilities by incorporating the principles of universal design (UD) in your museum exhibits. Universal design provides equitable access to resources, much the way that curb cuts improve access to roads and sidewalks. Museums spend considerable effort protecting specimens from agents of deterioration but this usually means that only one sense - vision - is employed in our exhibits. Providing greater accessibility may seem daunting, expensive, or dangerous for specimens but, by considering a few principles during exhibit development, UD is readily implemented and can make displays more effective than ever for people of all abilities, levels of understanding, and backgrounds. This is because UD goes beyond simple accessibility, it generates innovative solutions through the creative application of seven basic principles: equitable use, flexibility in use, simple and intuitive use, perceptible information, tolerance for error, low physical effort, and effective size and space for approach and use. We will discuss how the principles of UD are fundamental to good exhibit design and can be especially effective in a natural history setting - both in the gallery as well as the classroom - because we can use authentic objects that are largely identical to the display specimens. Such authentic and multisensory products encourage empathy and biophilia, increase specimen and visitor safety, and improve overall quality of service. We will also show how our institution has incorporated students into the process of design, evaluation, and construction of UD exhibits as a way to both include diverse perspectives in the design process and as a way to train science communicators of all kinds.
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Kulapina, E. G., A. E. Dubasova, O. I. Kulapina, and V. D. Ankina. "Arrays of solid contact potentiometric sensors for separate determination of some cephalosporin antibiotics." Industrial laboratory. Diagnostics of materials 87, no. 5 (May 23, 2021): 5–13. http://dx.doi.org/10.26896/1028-6861-2021-87-5-5-13.
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Arrays of potentiometric sensors including developed solid-contact unmodified and modified sensors based on tetradecylammonium associates with complex compounds of silver (1) and some β-lactam antibiotics (cefazoline, cefuroxime, cefotaxime (n = 3 – 6)) are proposed; polyaniline and copper oxide being modifiers. The main electroanalytic properties of the sensors are determined (the range of the determined concentrations in antibiotic solutions 1 × 10–4 – 0.1 M, 46.3 < S < 48, Cmin = n × 10–5 М, response time 4 – 10 sec, potential drift 4 – 6 mV/day, service life — 2 months). It is shown that modification of the membrane surfaces brings the steepness of the electrode functions to Nernst-values for single-charged ions of the antibiotics under study; reduces the response time and the detection limits, the linearity intervals of the electrode functions being the same. The potentiometric selectivity coefficients of unmodified and modified sensors based on different electrode active components (EAC) to the studied cephalosporins in the presence of interfering antibiotics are close to unity; cross sensitivity parameters for the considered sensors (the average slope of the electrode function of the sensor Sav, the unselectivity factor F, and the reproducibility factor K) are 46.3 < S (mV/pC) < 48; 0.85 < F < 0.90; 144 < K < 170, respectively. Application of sensors in the multisensory analysis of model mixtures of cephalosporin antibiotics is shown. Method of artificial neural networks (ANN) is used for processing of analytical signals. The correctness of the determination is carried out using «spike tests» on the reference model mixtures (the relative error of the determination does not exceed 12 %).
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Maier, Joost X., and Victoria E. Elliott. "Adaptive weighting of taste and odor cues during flavor choice." Journal of Neurophysiology 124, no. 6 (December 1, 2020): 1942–47. http://dx.doi.org/10.1152/jn.00506.2020.
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The authors demonstrate that rats make choices about which flavor solution (i.e., taste-odor mixture) to consume by weighting the individual taste and odor components according to the reliability of the information they provide about which solution is the preferred one. A similar weighting operation underlies multisensory cue combination in other domains and offers novel insight into the computations underlying multisensory flavor perception and food choice behavior.
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Softky, William, and Criscillia Benford. "Sensory Metrics of Neuromechanical Trust." Neural Computation 29, no. 9 (September 2017): 2293–351. http://dx.doi.org/10.1162/neco_a_00988.
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Today digital sources supply a historically unprecedented component of human sensorimotor data, the consumption of which is correlated with poorly understood maladies such as Internet addiction disorder and Internet gaming disorder. Because both natural and digital sensorimotor data share common mathematical descriptions, one can quantify our informational sensorimotor needs using the signal processing metrics of entropy, noise, dimensionality, continuity, latency, and bandwidth. Such metrics describe in neutral terms the informational diet human brains require to self-calibrate, allowing individuals to maintain trusting relationships. With these metrics, we define the trust humans experience using the mathematical language of computational models, that is, as a primitive statistical algorithm processing finely grained sensorimotor data from neuromechanical interaction. This definition of neuromechanical trust implies that artificial sensorimotor inputs and interactions that attract low-level attention through frequent discontinuities and enhanced coherence will decalibrate a brain's representation of its world over the long term by violating the implicit statistical contract for which self-calibration evolved. Our hypersimplified mathematical understanding of human sensorimotor processing as multiscale, continuous-time vibratory interaction allows equally broad-brush descriptions of failure modes and solutions. For example, we model addiction in general as the result of homeostatic regulation gone awry in novel environments (sign reversal) and digital dependency as a sub-case in which the decalibration caused by digital sensorimotor data spurs yet more consumption of them. We predict that institutions can use these sensorimotor metrics to quantify media richness to improve employee well-being; that dyads and family-size groups will bond and heal best through low-latency, high-resolution multisensory interaction such as shared meals and reciprocated touch; and that individuals can improve sensory and sociosensory resolution through deliberate sensory reintegration practices. We conclude that we humans are the victims of our own success, our hands so skilled they fill the world with captivating things, our eyes so innocent they follow eagerly.
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Prokopchenko, Serhii, and Volodymyr Voskresenskyi. "3D VIDEO MEASURING SYSTEM FOR TESTING OF MANUFACTURE OF PARTS THE HIGH PRECISION PROCESSING." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 61(1) (June 30, 2021): 32–36. http://dx.doi.org/10.20535/1970.61(1).2021.237090.
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During the control of technological processes of manufacturing various parts, which are required to increase the accuracy of processing, it is necessary to adhere to the systematic measurement of their geometric dimensions, tolerances, compliance with the shape and location of the surfaces of the parts. To date, this type of non-destructive testing is carried out using special optical systems and allows you to study different products, regardless of their type, design features and structure of the materials from which they are made. That is, the visual-optical method of measurement is one of the most important methods of non-destructive testing in production.
In the article the authors shared practical experience in the selection and optimal use of 3D video measuring system with limited resources. The choice of manufacturer and model (type) of video measuring system was made depending on the complexity of the measurement tasks. First of all, the error of measurement results was evaluated, which was determined by technical indicators and the composition of software functionality. For control in the manufacture of high-precision mechanical parts, the basic requirements for technical parameters and software of the video measuring system are defined.
Emphasis is placed on the economic effect by reducing the time of measurement of linear dimensions and angles in the plane of the controlled parts, while using high-quality functionality of video processing, which significantly reduces the likelihood of operator error. The choice between manual and automated measurement systems is justified: the main factors are the capacity and the required amount of measurements. Evaluated as a positive ability to save information files in Exel, Word, and SPC for statistical processing of information to improve the quality of parts.
Features of video measuring systems concerning: implementation of innovative metrological solutions - multisensory metrology, namely - inclusion in the program of measurements of optical, laser and contact research; Reverse Engineering of previous versions of parts for which drawings have already been lost and CAD models are not available.
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Chiang, Kai-Wei, Guang-Je Tsai, Yu-Hua Li, You Li, and Naser El-Sheimy. "Navigation Engine Design for Automated Driving Using INS/GNSS/3D LiDAR-SLAM and Integrity Assessment." Remote Sensing 12, no. 10 (May 14, 2020): 1564. http://dx.doi.org/10.3390/rs12101564.
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Automated driving has made considerable progress recently. The multisensor fusion system is a game changer in making self-driving cars possible. In the near future, multisensor fusion will be necessary to meet the high accuracy needs of automated driving systems. This paper proposes a multisensor fusion design, including an inertial navigation system (INS), a global navigation satellite system (GNSS), and light detection and ranging (LiDAR), to implement 3D simultaneous localization and mapping (INS/GNSS/3D LiDAR-SLAM). The proposed fusion structure enhances the conventional INS/GNSS/odometer by compensating for individual drawbacks such as INS-drift and error-contaminated GNSS. First, a highly integrated INS-aiding LiDAR-SLAM is presented to improve the performance and increase the robustness to adjust to varied environments using the reliable initial values from the INS. Second, the proposed fault detection exclusion (FDE) contributes SLAM to eliminate the failure solutions such as local solution or the divergence of algorithm. Third, the SLAM position velocity acceleration (PVA) model is used to deal with the high dynamic movement. Finally, an integrity assessment benefits the central fusion filter to avoid failure measurements into the update process based on the information from INS-aiding SLAM, which increases the reliability and accuracy. Consequently, our proposed multisensor design can deal with various situations such as long-term GNSS outage, deep urban areas, and highways. The results show that the proposed method can achieve an accuracy of under 1 meter in challenging scenarios, which has the potential to contribute the autonomous system.
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Pinto, M., V. Cavallo, and T. Ohlmann. "The development of driving simulators: toward a multisensory solution." Le travail humain 71, no. 1 (2008): 62. http://dx.doi.org/10.3917/th.711.0062.
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Plataniotis, K. N., and D. G. Lainiotis. "Multisensor estimation: New distributed algorithms." Mathematical Problems in Engineering 3, no. 1 (1996): 27–52. http://dx.doi.org/10.1155/s1024123x97000471.
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The multisensor estimation problem is considered in this paper. New distributed algorithms, which are able to locally process the information and which deliver identical results to those generated by their centralized counterparts are presented. The algorithms can be used to provide robust and computationally efficient solutions to the multisensor estimation problem. The proposed distributed algorithms are theoretically interesting and computationally attractive.
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Yang, Yue, Xiaoxiong Liu, Weiguo Zhang, Xuhang Liu, and Yicong Guo. "A Nonlinear Double Model for Multisensor-Integrated Navigation Using the Federated EKF Algorithm for Small UAVs." Sensors 20, no. 10 (May 24, 2020): 2974. http://dx.doi.org/10.3390/s20102974.
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Aimed at improving upon the disadvantages of the single centralized Kalman filter for integrated navigation, including its fragile robustness and low solution accuracy, a nonlinear double model based on the improved decentralized federated extended Kalman filter (EKF) for integrated navigation is proposed. The multisensor error model is established and simplified in this paper according to the near-ground short distance navigation applications of small unmanned aerial vehicles (UAVs). In order to overcome the centralized Kalman filter that is used in the linear Gaussian system, the improved federated EKF is designed for multisensor-integrated navigation. Subsequently, because of the navigation requirements of UAVs, especially for the attitude solution accuracy, this paper presents a nonlinear double model that consists of the nonlinear attitude heading reference system (AHRS) model and nonlinear strapdown inertial navigation system (SINS)/GPS-integrated navigation model. Moreover, the common state parameters of the nonlinear double model are optimized by the federated filter to obtain a better attitude. The proposed algorithm is compared with multisensor complementary filtering (MSCF) and multisensor EKF (MSEKF) using collected flight sensors data. The simulation and experimental tests demonstrate that the proposed algorithm has a good robustness and state estimation solution accuracy.
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Kolesnichenko, I. I., and L. M. Balashova. "Analysis of Tear Fluid for Evaluation on the Concentration of the Generic Anti-Glaucoma Drug Betoptik using Multisensory Stripping Voltammetry and Multivariate Statistics." EPJ Web of Conferences 248 (2021): 01005. http://dx.doi.org/10.1051/epjconf/202124801005.
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It is important to monitor the concentration of drugs after their instillation: this helps to find the right drug dosages. The proposed method is based on recognizing multidimensional images through the use of multidimensional statistics; the images are produced by multisensory electrochemical systems that provide reliable information about the tested objects. The measurements were carried out using a planar solid-state electrode. The test-system solution was a 0.05 М KCl solution, which contained the Zn2+, Cd2+, Рb2+, Cu2+ Со2+, and Hg2+ metal cations at the concentration of 5 10–5 M. A new electrochemical method for multisensory stripping voltammetry has been used to determine whether it is appropriate for determination of generic forms of the drug Betoptic, that is, Xonef, Betoftan, and Betalink EU in tear fluid. Measurements were carried out on a planar three-electrode interdigitated electrode. It has been shown that this method is effective for determination of the generics. The dynamics of changes in their concentrations over time were examined. After instillation of the generics in glaucoma patients, their concentrations in the Tear fluid remained unchanged within 12 h. The list of organic substances that can be determined by the method of multisensory stripping voltammetry has been extended.
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Fan, Xingwang, and Yuanbo Liu. "Multisensor Normalized Difference Vegetation Index Intercalibration: A Comprehensive Overview of the Causes of and Solutions for Multisensor Differences." IEEE Geoscience and Remote Sensing Magazine 6, no. 4 (December 2018): 23–45. http://dx.doi.org/10.1109/mgrs.2018.2859814.
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Stein, Barry E., David Burr, Christos Constantinidis, Paul J. Laurienti, M. Alex Meredith, Thomas J. Perrault, Ramnarayan Ramachandran, et al. "Semantic confusion regarding the development of multisensory integration: a practical solution." European Journal of Neuroscience 31, no. 10 (May 17, 2010): 1713–20. http://dx.doi.org/10.1111/j.1460-9568.2010.07206.x.
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Kolesnichenko, I. I., V. A. Namiot, and L. M. Balashova. "Express Screening of Tear Fluid for Evaluation of the Concentration of Lanomax Using Multisensory Stripping Voltammetry and Multivariate Statistics." EPJ Web of Conferences 224 (2019): 03002. http://dx.doi.org/10.1051/epjconf/201922403002.
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The drug concentrations monitoring is very important for finding the right dosage. The developed method is based on the recognition of multidimensional images, which are produced by multisensory electrochemical systems that provide reliable information on objects being tested, using multidimensional statistics. The measurements were carried out using a planar solid-state electrode. The test solution was a 0.05 M KCl solution, which contained the $ {\rm{Z}}{{\rm{n}}_2}^ + ,{\rm{C}}{{\rm{d}}_2}^ + ,{\rm{P}}{{\rm{b}}_2}^ + ,{\rm{C}}{{\rm{o}}_2}^ + $ and $ {\rm{H}}{{\rm{g}}_2}^ + $ metal cations in the concentration of 5 • 10−5 M. The efficiency of this method in determining lanosterol with accounting for changes in its concentration with over time has been demonstrated. In order to determine concentrations of Lanomax in tear fluid, a procedure for multisensory stripping voltammetry has been developed and tested. It has been shown that the effect of lacrimal fluid on metal dissolution currents in the test system lasts 12 hours after the Lanomax instillation.
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Vokhmintcev, A. V., A. V. Melnikov, K. V. Mironov, and V. V. Burlutskiy. "Reconstruction of three-dimensional maps based on closed-form solutions of the variational problem of multisensor data registration." Доклады Академии наук 484, no. 6 (May 18, 2019): 672–77. http://dx.doi.org/10.31857/s0869-56524846672-677.
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A closed-form solution is proposed for the problem of minimizing a functional consisting of two terms measuring mean-square distances for visually associated characteristic points on an image and meansquare distances for point clouds in terms of a point-to-plane metric. An accurate method for reconstructing three-dimensional dynamic environment is presented, and the properties of closed-form solutions are described. The proposed approach improves the accuracy and convergence of reconstruction methods for complex and large-scale scenes.
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Ziesche, Steffen, Adrian Goldberg, Uwe Partsch, Holger Kappert, Heidrun Kind, Mirko Aden, and Falk Naumann. "On-turbine multisensors based on Hybrid Ceramic Manufacturing Technology." Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT) 2019, HiTen (July 1, 2019): 000107–11. http://dx.doi.org/10.4071/2380-4491.2019.hiten.000107.
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Abstract The contribution evaluates the potential of piezoresistive multilayer ceramic sensory solutions using Low or High Temperature Cofired Ceramics (LTCC/HTCC) for on-turbine sensors. Relevant ceramic materials were characterized and evaluated with regard to applicability and reliability under application-like conditions. A multilayer ceramic sensory element was designed including a ceramic embedded pressure sensing membrane, a Pt100 temperature sensor and ceramic integrated wiring. Appropriate sealing methods to implement the ceramic into metal housings as well as electrical connection solutions were worked out, which allow for an operation under the increased temperatures (> 300°C) of the application. A system concept, including sensory element, signal conditioning electronics, mechanical and electrical interfaces is part of the investigation.
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Zhang, Xiang, Xinming Tang, Xiaoming Gao, and Hui Zhao. "Multitemporal Soil Moisture Retrieval over Bare Agricultural Areas by Means of Alpha Model with Multisensor SAR Data." Advances in Meteorology 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/7914581.
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The objective of this research is to optimize the Alpha approximation model for soil moisture retrieval using multitemporal SAR data. The Alpha model requires prior knowledge of soil moisture range to constrain soil moisture estimation. The solution of the Alpha model is an undetermined problem due to the fact that the number of observation equations is less than the number of unknown parameters. This research primarily focused on the optimization of Alpha model by employing multisensor and multitemporal SAR data. The disadvantage of the Alpha model can be eliminated by the combination of multisensor SAR data. The optimized Alpha model was evaluated on the basis of a comprehensive campaign for soil moisture retrieval, which acquired multisensor time series SAR data and coincident field measurements. The agreement between the estimated and measured soil moisture was within a root mean square error of 0.08 cm3/cm3 for both methods. The optimized Alpha model shows an obvious improvement for soil moisture retrieval. The results demonstrated that multisensor and multitemporal SAR data are favorable for time series soil moisture retrieval over bare agricultural areas.
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Nabaa, N., and R. H. Bishop. "Solution to a multisensor tracking problem with sensor registration errors." IEEE Transactions on Aerospace and Electronic Systems 35, no. 1 (1999): 354–63. http://dx.doi.org/10.1109/7.745706.
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Groves, Paul D. "The Complexity Problem in Future Multisensor Navigation and Positioning Systems: A Modular Solution." Journal of Navigation 67, no. 2 (November 14, 2013): 311–26. http://dx.doi.org/10.1017/s0373463313000696.
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Navigation and positioning system users are demanding greater accuracy and reliability in ever more challenging environments. This is driving a wave of rapid innovation, with the result that multisensor integrated navigation systems will become much more complex. This introduces a number of problems, including how to find the necessary expertise to integrate a diverse range of technologies, how to combine technologies from different organisations that wish to protect their intellectual property, and how to incorporate new navigation technologies and methods without having to redesign the whole system. It also makes it desirable to share development effort over a range of different applications. To address this, the feasibility of a modular approach to the design and development of multisensor integrated navigation and positioning systems is analysed. Assessments of the requirements of different user communities and the adaptability of the different navigation and positioning technologies to different contexts and requirements are presented. Based on this, the adoption of an open interface standard for modular integration is recommended and the issues to be resolved in developing that standard are outlined.
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Santhosh, K. V., Blessy Joy, and Swetha Rao. "Design of an Instrument for Liquid Level Measurement and Concentration Analysis Using Multisensor Data Fusion." Journal of Sensors 2020 (January 6, 2020): 1–13. http://dx.doi.org/10.1155/2020/4259509.
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This paper presents the design of an instrument for measuring the liquid level. The objective of this proposed work is to measure the level of liquid accurately even with variations in liquid concentration. The designed instrument should also be able to compute the concentration of additives in the liquid. For this purpose, a multisensor model comprising a capacitive level sensor (CLS), ultrasonic level sensor (ULS), and capacitance pressure sensor is used to acquire information of the liquid. The data acquired from all these sensors are processed using Pau’s multisensor data fusion framework to compute the level of liquid along with the concentration of additives added to the solution. Pau’s framework consists of alignment, association function, analysis, and representation functions. The designed multisensor technique is tested with real-life data for varying liquid levels and additives. The results obtained show that the successful implementation of the proposed objective producing a root mean square of percentage error is 1.1% over the full scale is possible.
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Hu, Shengbo, Jinrong Mo, Tingting Yan, and Yanfeng Shi. "Power Control for Passive QAM Multisensor Backscatter Communication Systems." Journal of Sensors 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4319709.
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To achieve good quality of service level such as throughput, power control is of great importance to passive quadrature amplitude modulation (QAM) multisensor backscatter communication systems. First, we established the RF energy harvesting model and gave the energy condition. In order to minimize the interference of subcarriers and increase the spectral efficiency, then, the colocated passive QAM backscatter communication signal model is presented and the nonlinear optimization problems of power control are solved for passive QAM backscatter communication systems. Solutions include maximum and minimum access interval, the maximum and minimum duty cycle, and the minimal RF-harvested energy under the energy condition for node operating. Using the solutions above, the maximum throughput of passive QAM backscatter communication systems is analyzed and numerical calculation is made finally. Numerical calculation shows that the maximal throughput decreases with the consumed power and the number of sensors, and the maximum throughput is decreased quickly with the increase of the number of sensors. Especially, for a given consumed power of sensor, it can be seen that the throughput decreases with the duty cycle and the number of sensors has little effect on the throughput.
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Wang, C., Y. Dai, N. El-Sheimy, C. Wen, G. Retscher, Z. Kang, and A. Lingua. "PROGRESS ON ISPRS BENCHMARK ON MULTISENSORY INDOOR MAPPING AND POSITIONING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1709–13. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1709-2019.
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<p><strong>Abstract.</strong> This paper presents the design of the benchmark dataset on multisensory indoor mapping and position (MIMAP) which is sponsored by ISPRS scientific initiatives. The benchmark dataset including point clouds captured by indoor mobile laser scanning system (IMLS) in indoor environments of various complexity. The benchmark aims to stimulate and promote research in the following three fields: (1) SLAM-based indoor point cloud generation; (2) automated BIM feature extraction from point clouds, with an emphasis on the elements, such as floors, walls, ceilings, doors, windows, stairs, lamps, switches, air outlets, that are involved in building management and navigation tasks ; and (3) low-cost multisensory indoor positioning, focusing on the smartphone platform solution. MIMAP provides a common framework for the evaluation and comparison of LiDAR-based SLAM, BIM feature extraction, and smartphone indoor positioning methods.</p>
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Zong, Hua, Zhaohui Gao, Wenhui Wei, Yongmin Zhong, and Chengfan Gu. "Randomly Weighted CKF for Multisensor Integrated Systems." Journal of Sensors 2019 (November 11, 2019): 1–19. http://dx.doi.org/10.1155/2019/1216838.
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The cubature Kalman filter (CKF) is an estimation method for nonlinear Gaussian systems. However, its filtering solution is affected by system error, leading to biased or diverged system state estimation. This paper proposes a randomly weighted CKF (RWCKF) to handle the CKF limitation. This method incorporates random weights in CKF to restrain system error’s influence on system state estimation by dynamic modification of cubature point weights. Randomly weighted theories are established to estimate predicted system state and system measurement as well as their covariances. Simulation and experimental results as well as comparison analyses demonstrate the presented RWCKF conquers the CKF problem, leading to enhanced accuracy for system state estimation.
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Van Hoecke, Sofie, Ruben Verborgh, Davy Van Deursen, and Rik Van de Walle. "SAMuS: Service-Oriented Architecture for Multisensor Surveillance in Smart Homes." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/150696.
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The design of a service-oriented architecture for multisensor surveillance in smart homes is presented as an integrated solution enabling automatic deployment, dynamic selection, and composition of sensors. Sensors are implemented as Web-connected devices, with a uniform Web API. RESTdesc is used to describe the sensors and a novel solution is presented to automatically compose Web APIs that can be applied with existing Semantic Web reasoners. We evaluated the solution by building a smart Kinect sensor that is able to dynamically switch between IR and RGB and optimizing person detection by incorporating feedback from pressure sensors, as such demonstrating the collaboration among sensors to enhance detection of complex events. The performance results show that the platform scales for many Web APIs as composition time remains limited to a few hundred milliseconds in almost all cases.
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Beker, Shlomit, John J. Foxe, and Sophie Molholm. "Ripe for solution: Delayed development of multisensory processing in autism and its remediation." Neuroscience & Biobehavioral Reviews 84 (January 2018): 182–92. http://dx.doi.org/10.1016/j.neubiorev.2017.11.008.
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Wang, Junwei, Kun Gao, Zhenzhou Zhang, Chong Ni, Zibo Hu, Dayu Chen, and Qiong Wu. "Multisensor Remote Sensing Imagery Super-Resolution with Conditional GAN." Journal of Remote Sensing 2021 (September 8, 2021): 1–11. http://dx.doi.org/10.34133/2021/9829706.
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Despite the promising performance on benchmark datasets that deep convolutional neural networks have exhibited in single image super-resolution (SISR), there are two underlying limitations to existing methods. First, current supervised learning-based SISR methods for remote sensing satellite imagery do not use paired real sensor data, instead operating on simulated high-resolution (HR) and low-resolution (LR) image-pairs (typically HR images with their bicubic-degraded LR counterparts), which often yield poor performance on real-world LR images. Second, SISR is an ill-posed problem, and the super-resolved image from discriminatively trained networks with lp norm loss is an average of the infinite possible HR images, thus, always has low perceptual quality. Though this issue can be mitigated by generative adversarial network (GAN), it is still hard to search in the whole solution-space and find the best solution. In this paper, we focus on real-world application and introduce a new multisensor dataset for real-world remote sensing satellite imagery super-resolution. In addition, we propose a novel conditional GAN scheme for SISR task which can further reduce the solution-space. Therefore, the super-resolved images have not only high fidelity, but high perceptual quality as well. Extensive experiments demonstrate that networks trained on the introduced dataset can obtain better performances than those trained on simulated data. Additionally, the proposed conditional GAN scheme can achieve better perceptual quality while obtaining comparable fidelity over the state-of-the-art methods.
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Vlasov, Yu, A. Legin, A. Rudnitskaya, C. Di Natale, and A. D'Amico. "Nonspecific sensor arrays ("electronic tongue") for chemical analysis of liquids (IUPAC Technical Report)." Pure and Applied Chemistry 77, no. 11 (January 1, 2005): 1965–83. http://dx.doi.org/10.1351/pac200577111965.
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The history of the development of potentiometric sensors over the past century demonstrates progress in constructing single, discrete (i.e., separate, to distinguish from sensor arrays) ion sensors, which have been made as selective as possible. Only a few types reveal high selectivity. However, easy measurement procedure, with low cost and availability, give rise to the search for new ways for their successful application. The present document describes a new concept for application of potentiometric multisensor systems, viz., sensor arrays for solution analysis, and the performance of this new analytical tool - the "electronic tongue". The electronic tongue is a multisensor system, which consists of a number of low-selective sensors and uses advanced mathematical procedures for signal processing based on the pattern recognition (PARC) and/or multivariate analysis [artificial neural networks (ANNs), principal component analysis (PCA), etc.]. Definitions of the multisensor systems and their parameters are suggested. Results from the application of the electronic tongue, both for quantitative and qualitative analysis of different mineral water and wine samples, are presented and discussed.
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Niu, Xiaoji, Tong Yu, Jian Tang, and Le Chang. "An Online Solution of LiDAR Scan Matching Aided Inertial Navigation System for Indoor Mobile Mapping." Mobile Information Systems 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4802159.
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Multisensors (LiDAR/IMU/CAMERA) integrated Simultaneous Location and Mapping (SLAM) technology for navigation and mobile mapping in a GNSS-denied environment, such as indoor areas, dense forests, or urban canyons, becomes a promising solution. An online (real-time) version of such system can extremely extend its applications, especially for indoor mobile mapping. However, the real-time response issue of multisensors is a big challenge for an online SLAM system, due to the different sampling frequencies and processing time of different algorithms. In this paper, an online Extended Kalman Filter (EKF) integrated algorithm of LiDAR scan matching and IMU mechanization for Unmanned Ground Vehicle (UGV) indoor navigation system is introduced. Since LiDAR scan matching is considerably more time consuming than the IMU mechanism, the real-time synchronous issue is solved via a one-step-error-state-transition method in EKF. Stationary and dynamic field tests had been performed using a UGV platform along typical corridor of office building. Compared to the traditional sequential postprocessed EKF algorithm, the proposed method can significantly mitigate the time delay of navigation outputs under the premise of guaranteeing the positioning accuracy, which can be used as an online navigation solution for indoor mobile mapping.
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Polley, Daniel B., Andrea R. Hillock, Christopher Spankovich, Maria V. Popescu, David W. Royal, and Mark T. Wallace. "Development and Plasticity of Intra- and Intersensory Information Processing." Journal of the American Academy of Audiology 19, no. 10 (November 2008): 780–98. http://dx.doi.org/10.3766/jaaa.19.10.6.
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The functional architecture of sensory brain regions reflects an ingenious biological solution to the competing demands of a continually changing sensory environment. While they are malleable, they have the constancy necessary to support a stable sensory percept. How does the functional organization of sensory brain regions contend with these antithetical demands? Here we describe the functional organization of auditory and multisensory (i.e., auditory-visual) information processing in three sensory brain structures: (1) a low-level unisensory cortical region, the primary auditory cortex (A1); (2) a higher-order multisensory cortical region, the anterior ectosylvian sulcus (AES); and (3) a multisensory subcortical structure, the superior colliculus (SC). We then present a body of work that characterizes the ontogenic expression of experience-dependent influences on the operations performed by the functional circuits contained within these regions. We will present data to support the hypothesis that the competing demands for plasticity and stability are addressed through a developmental transition in operational properties of functional circuits from an initially labile mode in the early stages of postnatal development to a more stable mode in the mature brain that retains the capacity for plasticity under specific experiential conditions. Finally, we discuss parallels between the central tenets of functional organization and plasticity of sensory brain structures drawn from animal studies and a growing literature on human brain plasticity and the potential applicability of these principles to the audiology clinic.
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Groben, Dennis, Kittikhun Thongpull, Abhaya Chandra Kammara, and Andreas König. "Neural Virtual Sensors for Adaptive Magnetic Localization of Autonomous Dataloggers." Advances in Artificial Neural Systems 2014 (December 30, 2014): 1–17. http://dx.doi.org/10.1155/2014/394038.
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The surging advance in micro- and nanotechnologies allied with neural learning systems allows the realization of miniaturized yet extremely powerful multisensor systems and networks for wide application fields, for example, in measurement, instrumentation, automation, and smart environments. Time and location context is particularly relevant to sensor swarms applied for distributed measurement in industrial environment, such as, for example, fermentation tanks. Common RF solutions face limits here, which can be overcome by magnetic systems. Previously, we have developed the electronic system for an integrated data logger swarm with magnetic localization and sensor node timebase synchronization. The focus of this work is on an approach to improving both localization accuracy and flexibility by the application of artificial neural networks applied as virtual sensors and classifiers in a hybrid dedicated learning system. Including also data from an industrial brewery environment, the best investigated neural virtual sensor approach has achieved an advance in localization accuracy of a factor of 4 compared to state-of-the-art numerical methods and, thus, results in the order of less than 5 cm meeting industrial expectations on a feasible solution for the presented integrated localization system solution.
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Clanton, J. M., D. M. Bevly, and A. S. Hodel. "A Low-Cost Solution for an Integrated Multisensor Lane Departure Warning System." IEEE Transactions on Intelligent Transportation Systems 10, no. 1 (March 2009): 47–59. http://dx.doi.org/10.1109/tits.2008.2011690.
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