Relevant bibliographies by topics / Elevator Controls Detection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Elevator Controls Detection'

Author: Grafiati
Published: 28 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Elevator Controls Detection"

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Karanovic, Olivera, Michel Thabet, Hugh R. Wilson, and Frances Wilkinson. "Detection and discrimination of flicker contrast in migraine." Cephalalgia 31, no. 6 (2011): 723–36. http://dx.doi.org/10.1177/0333102411398401.

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Aims: Flickering light is strongly aversive to many individuals with migraine. This study was designed to evaluate other abnormalities in the processing of temporally modulating visual stimulation. Methods: We measured psychophysical thresholds for detection of a flickering target and for the discrimination of suprathreshold flicker contrasts (increment thresholds) in 14 migraineurs and 14 healthy controls with and without prior adaptation to high-contrast flicker. Visual discomfort (aversion) thresholds were also assessed. Results: In the baseline (no adaptation) conditions, detection and discrimination thresholds did not differ significantly between groups. Following adaptation, flicker detection thresholds were elevated equivalently in both groups; however, discrimination thresholds were more strongly affected in migraineurs than in controls, showing greater elevation at moderate contrasts and greater threshold reduction (sensitisation) at high contrast (70%). Migraineurs also had significantly elevated discomfort scores, and these were significantly correlated with number of years with migraine. Discussion: We conclude that visual flicker not only causes discomfort but also exerts measurable effects on contrast processing in the visual pathways in migraine. The findings are discussed in the context of the existing literature on habituation, adaptation and contrast-gain control.
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Martell, R. E., F. J. Xu, W. Z. Davis, et al. "OVX1 and CEA in Patients with Colon Carcinoma, Colon Polyps and Benign Colon Disorders." International Journal of Biological Markers 13, no. 3 (1998): 145–49. http://dx.doi.org/10.1177/172460089801300304.

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The OVX1 tumor marker promises to complement CA125 for detection of early stage ovarian carcinoma. OVX1 has also been shown to be elevated in colon cancer patients. This study is designed to assess serum OVX1 levels in patients with specific stages of colon cancer, colon polyps or other GI disorders. Serum OVX1 and CEA were measured by radioimmunoassay or enzyme immunoassay for 206 patients at the time of colonoscopy or staging for colon carcinoma. In patients with stage I, II, III, or IV colon carcinoma, serum OVX1 was positive in 37%, 48%, 74% and 63%, respectively. Fifty-three percent of patients with colon polyps had elevated OVX1 levels, while OVX1 levels were positive in only 7% of healthy controls. If both OVX1 and CEA were considered, at least one of these markers was elevated in 36%, 60%, 79% or 89% of patients with stage I, II, III or IV colon carcinoma, respectively. The majority of patients with inflammatory bowel disease or diverticulosis also had elevated OVX1 levels. Both markers were positive in 27% of patients with colon carcinoma, and not in any patients with a normal colonoscopy or with a diagnosis of diverticulosis or hemorrhoids. In conclusion, serum OVX1 improves the sensitivity of CEA for detecting colon polyps and colon cancer; however, the use of OVX1 in this setting is hindered by its elevation in non-malignant colonic processes.
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Yang, Bao Gui. "Fault Detection Expert System of Elevator Control Cabinet Based on LabView." Applied Mechanics and Materials 539 (July 2014): 596–600. http://dx.doi.org/10.4028/www.scientific.net/amm.539.596.

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An expert testing system of elevator control cabinet was developed based on LabView, for resolving the difficulties on elevator testing and elevator fault troubleshooting. With fault tree analysis algorithm, manual knowledge obtaining method was used, and forward reasoning strategy was employed for locating the possible reason of the system fault quickly and exactly. The system was modularized to reduce the complexity of the program. The graphical interface was programmed by LabView to improve human-computer interaction ability. The results indicated the expert system can be applied to system fault detection well and improve the efficiency of elevator troubleshooting.
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Zheng, Yi Peng, Zu Tao Zhang, and Hong Xu. "A Novel Intelligent Elevator Group Control Algorithm Based on Corridor Passenger Detection and Tracking." Applied Mechanics and Materials 336-338 (July 2013): 815–19. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.815.

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The conventional elevator group control system is based on the button as a response and where to dispatch an elevator car. There is one big problem that when system dispatches the elevator to that button responding floor, but no passenger there and causing a waste of time and energy. In this paper, we present a novel intelligent elevator group control algorithm based on corridor passenger detection and tracking. In the above proposed system, after the corridor passengers are detected using binocular-cameras, Unscented Kalman Filter (UKF) is introduced to improve robustness and accuracy of corridor passenger motion tracking. At same time, a novel intelligent elevator group control strategy based on corridor passenger detection and tracking is proposed to improve the performance and transport efficiency of the elevator. Compared with the traditional elevator group control system, the proposed system has potential advantages in minimizing passengers’ waiting time and saving electronic energy. The final experimental results show the validity of our method under simulation condition.
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Selvarajah, Suganya, Sheila Keating, John Heitman, et al. "Detection of host immune responses in acute phase sera of spontaneous resolution versus persistent hepatitis C virus infection." Journal of General Virology 93, no. 8 (2012): 1673–79. http://dx.doi.org/10.1099/vir.0.041277-0.

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Prior to the identification of hepatitis C virus (HCV), transfusion-transmission was common. Viral transmission in subjects with a known date of infection allows the study of the immune responses to acute HCV infection. We analysed 39 soluble immune factors in serum samples from subjects with transfusion-transmitted HCV. Dynamic expression kinetics of interferon gamma-induced protein 10 (IP-10), tumour necrosis factor-alpha and interleukin (IL)-10 were observed during acute HCV infection. Serum IP-10 was the only analyte that was significantly elevated in HCV resolvers compared with uninfected controls. In individuals who progressed to chronic HCV elevated levels of IP-10 and IL-10 coincided with first significant alanine aminotransferase elevation and remained elevated during the first year of acute HCV infection. In addition to monitoring lack of reduction in viral load, serum levels of IP-10 and IL-10 expression during acute HCV infection may be useful biomarkers to predict the progress to chronic HCV.
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Wang, Pangwei, Yunfeng Wang, Xu Wang, Ying Liu, and Juan Zhang. "An Intelligent Actuator of an Indoor Logistics System Based on Multi-Sensor Fusion." Actuators 10, no. 6 (2021): 120. http://dx.doi.org/10.3390/act10060120.

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Integration technologies of artificial intelligence (AI) and autonomous vehicles play important roles in intelligent transportation systems (ITS). In order to achieve better logistics distribution efficiency, this paper proposes an intelligent actuator of an indoor logistics system by fusing multiple involved sensors. Firstly, an actuator based on a four-wheel differential chassis is equipped with sensors, including an RGB camera, a lidar and an indoor inertial navigation system, by which autonomous driving can be realized. Secondly, cross-floor positioning can be realized by multi-node simultaneous localization and mappings (SLAM) based on the Cartographer algorithm Thirdly the actuator can communicate with elevators and take the elevator to the designated delivery floor. Finally, a novel indoor route planning strategy is designed based on an A* algorithm and genetic algorithm (GA) and an actual building is tested as a scenario. The experimental results have shown that the actuator can model the indoor mapping and develop the optimal route effectively. At the same time, the actuator displays its superiority in detecting the dynamic obstacles and actively avoiding the collision in the indoor scenario. Through communicating with indoor elevators, the final delivery task can be completed accurately by autonomous driving.
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Baumann, Ralf, Susanne Kaempfer, Novel N. Chegou, et al. "A Subgroup of LatentlyMycobacterium tuberculosisInfected Individuals Is Characterized by Consistently Elevated IgA Responses to Several Mycobacterial Antigens." Mediators of Inflammation 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/364758.

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Elevated antibody responses toMycobacterium tuberculosisantigens in individuals with latent infection (LTBI) have previously been linked to an increased risk for progression to active disease. Studies in the field focussed mainly on IgG antibodies. In the present study, IgA and/or IgG responses to the mycobacterial protein antigens AlaDH, NarL, 19 kDa, PstS3, and MPT83 were determined in a blinded fashion in sera from 53 LTBI controls, 14 healthy controls, and 42 active TB subjects. Among controls, we found that elevated IgA levels against all investigated antigens were not randomly distributed but concentrated on a subgroup of<30%—with particular high levels in a small subgroup of~5%comprising one progressor to active TB. Based on a specificity of100%, anti-NarL IgA antibodies achieved with78.6%sensitivity the highest accuracy for the detection of active TB compared to healthy controls. In conclusion, the consistently elevated IgA levels in a subgroup of controls suggest higher mycobacterial load, a risk factor for progression to active TB, and together with high IgG levels may have prognostic potential and should be investigated in future large scale studies. The novel antigen NarL may also be promising for the antibody-based diagnosis of active TB cases.
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Chen, Xu, Jiaxin Zhao, Katja C. Iselin, et al. "Keratoconus detection of changes using deep learning of colour-coded maps." BMJ Open Ophthalmology 6, no. 1 (2021): e000824. http://dx.doi.org/10.1136/bmjophth-2021-000824.

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ObjectiveTo evaluate the accuracy of convolutional neural networks technique (CNN) in detecting keratoconus using colour-coded corneal maps obtained by a Scheimpflug camera.DesignMulticentre retrospective study.Methods and analysisWe included the images of keratoconic and healthy volunteers’ eyes provided by three centres: Royal Liverpool University Hospital (Liverpool, UK), Sedaghat Eye Clinic (Mashhad, Iran) and The New Zealand National Eye Center (New Zealand). Corneal tomography scans were used to train and test CNN models, which included healthy controls. Keratoconic scans were classified according to the Amsler-Krumeich classification. Keratoconic scans from Iran were used as an independent testing set. Four maps were considered for each scan: axial map, anterior and posterior elevation map, and pachymetry map.ResultsA CNN model detected keratoconus versus health eyes with an accuracy of 0.9785 on the testing set, considering all four maps concatenated. Considering each map independently, the accuracy was 0.9283 for axial map, 0.9642 for thickness map, 0.9642 for the front elevation map and 0.9749 for the back elevation map. The accuracy of models in recognising between healthy controls and stage 1 was 0.90, between stages 1 and 2 was 0.9032, and between stages 2 and 3 was 0.8537 using the concatenated map.ConclusionCNN provides excellent detection performance for keratoconus and accurately grades different severities of disease using the colour-coded maps obtained by the Scheimpflug camera. CNN has the potential to be further developed, validated and adopted for screening and management of keratoconus.
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K. V., Harish, Hareesh R., and Akshatha Savith. "Study of serum adiponectin levels for early detection of type 2 diabetes mellitus and its complications on kidney." International Journal of Advances in Medicine 8, no. 2 (2021): 171. http://dx.doi.org/10.18203/2349-3933.ijam20210102.

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Background: Type 2 diabetes mellitus is a chronic metabolic disorder due to insulin resistance caused by destruction of beta cells of pancreas. Insulin resistance in newly diagnosed type 2 diabetes mellitus patients leads to hyperglycemia. Serum adiponectin is a more sensitive and specific biomarker for early detection of diabetic nephropathy than urinary microalbuminuria.Methods: This is a case-control study conducted in Akash Institute of Medical Sciences, A total 180 subjects (120 cases and 60 controls). All the subjects included after informed consent, blood samples and urine samples are collected from the all the subjects. The serum Adiponectin and was estimated by using enzyme-linked immunoassay (ELISA) and fasting blood sugar (FBS), post prandial blood sugar (PPBS) and renal function test (RFT) was also estimated by laboratory standard methods.Results: This study was evaluated the FBS, PPBS, RFT and serum adiponectin levels in patients with type 2 diabetes mellitus patients and compare them with healthy controls. The serum adiponectin levels more significantly elevated in newly diagnosed type 2 diabetes mellitus patients and compared with the healthy controls. The study also found that significantly elevated levels of FBS, PPBS and RFT in type 2 diabetes mellitus patients and compared with the healthy controls, The statistically significant levels of serum adiponectin in patients with type 2 diabetes mellitus and when compared with the controls (p= 0.0001).Conclusions: The study suggesting that the s estimation of serum adiponectin levels in newly diagnosed type 2 diabetes mellitus patients useful for early detection of diabetic nephropathy. Because elevated levels of serum adiponectin in patients with newly diagnosed type 2 diabetes mellitus, this levels are positively correlated with the FBS and PPBS.
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Hoppensteadt, Debra, Sallu Jabati, Trung Phan, et al. "Increased Extracellular Nucleosome Levels and Microparticles in Atrial Fibrillation Patients Compared to the Age-Matched Normal Population." Blood 128, no. 22 (2016): 4912. http://dx.doi.org/10.1182/blood.v128.22.4912.4912.

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Abstract Introduction : Atrial fibrillation (AF) is currently the most common cardiac arrhythmia encountered in clinical practice and a major cause of morbidity and mortality among adults. It is estimated that atrial fibrillation affects approximately 2.7 million people in the United States. Extracellular plasma nucleosomes (PNs) are complexes of DNA and histones that are released during cell death. Histones have been shown to function as DAMPs when they are translocated from the nucleus to the extracellular space. It is hypothesized that these extracellular nucleosomes contribute to the observed hypercoagulable state and embolic complications in AF. Methods : The concentration of PNs in 48 plasma samples of atrial fibrillation patients and 38 aged-matched controls were measured using the Cell Death Detection ELISA PLUS assay (Roche Diagnostics, Mannheim, Germany) and functional microparticle levels were measured using an annexin binding method (Hyphen Biomedical, Paris, France). Results : When comparing the concentration of nucleosomes in plasma, the atrial fibrillation patients (306.1 ± 328.86 μg/mL) had much higher levels than the aged-matched controls (177.9 ± 146.7 μg/mL), (p = 0.0015). Functional microparticles were also markedly elevated in the AF patients (18.6 ± 4.1 nM) in comparison to the aged-matched controls (4.6 ± 3.1 nM), (p=0.001). A significant correlation was observed between the PN's and microparticles, (p < 0.05). Conclusion : Both the microparticles and PNs were elevated in atrial fibrillation when compared to aged-matched controls, suggesting increased cell death resulting in the generation of these biomarkers. Extracellular nucleosomes function as DAMPs by binding to receptors and triggering the activation of multiple signal pathways which may contribute to the elevation of microparticles. Due to the involvement of inflammation and thrombosis in the pathology of atrial fibrillation, the simultaneously increased circulating nucleosome and microparticle levels in patients with AF implies their role in the pathogenesis of this syndrome. Disclosures No relevant conflicts of interest to declare.
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Dissertations / Theses on the topic "Elevator Controls Detection"

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Černil, Martin. "Automatická detekce ovládacích prvků výtahu zpracováním digitálního obrazu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444987.

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This thesis deals with the automatic detection of elevator controls in personal elevators through digital imaging using computer vision. The theoretical part of the thesis goes through methods of image processing with regards to object detection in image and research of previous solutions. This leads to investigation into the field of convolutional neural networks. The practical part covers the creation of elevator controls image dataset, selection, training and evaluation of the used models and the implementation of a robust algorithm utilizing the detection of elevator controls. The conclussion of the work discusses the suitability of the detection on given task.
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Hadley, Aaron John. "Dynamic Laryngo-Tracheal Control for Airway Management in Dysphagia." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1370591910.

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Phenis, David Anthony. "Performance of Adult Rats Exposed to Elevated Levels of Kynurenic Acid during Gestation in a Rodent Target Detection Task: A Translational Model for Studying the Effects of Cognitive Training." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu154211727456543.

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Jhang, Yu-Dian, and 張玉典. "Using Expert System on the Application of Intelligent Elevator Control and Fault Detection." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/63534472909872558585.

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碩士<br>國立臺灣師範大學<br>工業教育學系<br>101<br>As rapid urban development and population growth, buildings in urban areas have to be established higher than before, which causes wider use of elevators. In addition to system stability and safety, demands for elevators are also increasing, like artificial intelligence of time-saving and energy-saving. Therefore, many intelligent control theories are applied to elevator systems. This study combines the rules proposed by expert system to plan dual-elevators transport mode. In the part of elevator control design, we implement the shortest floor search method and first-in-first-service method to achieve the goals of green energy construction and service. Moreover, through the human-machine interface, we could perform real-time monitoring. In the part of malfunction detection, according to the flow chart of elevator control system, we establish fault tree to explain the malfunction reason. When elevator system malfunction occurs during the operation, we could follow the rules defined by expert system to make a conclusion and propose a solution. According to the research method and design flow proposed by this study, we can control dual-elevator efficiently, and system manager can understand the status of operating elevators through monitoring interface. This system can effectively infer whether elevator motors, step motors, proximity switches, and limit switches fail or not, and enhance the correctness of maintenance personnel’s decisions. Additionally, this system can help us reduce the inspection and maintenance time. In addition, we can detect faults of components in the dual elevator system efficiently by our fault detection system. When detecting faults, our system performs well accuracy.
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Book chapters on the topic "Elevator Controls Detection"

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Mills, Robert F., Gilbert L. Peterson, and Michael R. Grimaila. "Insider Threat Prevention, Detection and Mitigation." In Cyber Security and Global Information Assurance. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-326-5.ch003.

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The purpose of this chapter is to introduce the insider threat and discuss methods for preventing, detecting, and responding to the threat. Trusted insiders present one of the most significant risks to an organization. They possess elevated privileges when compared to external users, have knowledge about technical and non-technical control measures, and potentially can bypass security measures designed to prevent, detect, or react to unauthorized access. In this chapter, we define the insider threat and summarize various case studies of insider attacks in order to highlight the severity of the problem. We then discuss best practices for preventing, detecting, and mitigating insider attacks, to include application of risk management principles specific to the insider threat. Finally, we provide a survey of ongoing research into detecting irregular activities that are potentially harmful to an organization.
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Eljil, Khouloud Safi, Ghassan Qadah, and Michel Pasquier. "Predicting Hypoglycemia in Diabetic Patients Using Time-Sensitive Artificial Neural Networks." In Deep Learning and Neural Networks. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0414-7.ch069.

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Type-One Diabetes Mellitus (T1DM) is a chronic disease characterized by the elevation of glucose levels within patient's blood. It can lead to serious complications including kidney and heart diseases, stroke, and blindness. The proper treatment of diabetes, on the other hand, can lead to a normal longevity. Yet such a treatment requires tight glycemic control which increases the risk of developing hypoglycemia; a sudden drop in patients' blood glucose levels that could lead to coma and possibly death. Continuous Glucose Monitoring (CGM) devices placed on a patient body, measure glucose levels every few minutes. These devices can also detect hypoglycemia. Yet detecting hypoglycemia sometimes is too late for a patient to take proper action, so a better approach is to predict the hypoglycemic events ahead of time and alarm the patient to such occurrences. In this research, the authors develop a system that involves a special type of Artificial Neural Networks (ANN), the Time-Sensitive ANN (TS-ANN), to predict hypoglycemia events ahead of time and within a prediction horizon of thirty minutes. This period should be long enough to enable diabetic patients to avoid hypoglycemia by taking a proper action. A TS-ANN based system that is able to predict hypoglycemia events have been developed and tested with high accuracy results (average specificity of 98.2%, average accuracy of 97.6% and average sensitivity of 80.19% with a maximum value reaching 93%).
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Conference papers on the topic "Elevator Controls Detection"

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He, Tao, Xinwei Zhang, Kan Cheng, et al. "Method study on acquiring space borne laser elevation control point." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, et al. SPIE, 2017. http://dx.doi.org/10.1117/12.2295717.

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Shuangchang, Feng, Wang Chen, and Ouyang Huiqing. "Research on Detection Technology of Elevator Hydraulic Buffer." In 2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT). IEEE, 2020. http://dx.doi.org/10.1109/icectt50890.2020.00020.

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Sun, Zhen, Benlian Xu, Di wu, Mingli Lu, and Jinling Cong. "A real-time video surveillance and state detection approach for elevator cabs." In 2019 International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, 2019. http://dx.doi.org/10.1109/iccais46528.2019.9074707.

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Li, Zehua, Zheng Chai, and Chunhui Zhao. "An Abrasion Detection Method for Elevator Traction Wire Rope based on Template Matching." In 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2020. http://dx.doi.org/10.1109/ddcls49620.2020.9275198.

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Junlin, ZHOU, and DONG Sihui. "Research and Development of Mobile Application for Elevator Balance Coefficient Detector." In 2019 6th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2019. http://dx.doi.org/10.1109/icisce48695.2019.00167.

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Takase, Ryoichi, Nobuyuki Yoshikawa, and Shinji Suzuki. "Combined Fault Detection, Isolation, and Control: Propulsion Controlled Aircraft in Case of Elevator Failure." In 2018 IEEE Conference on Control Technology and Applications (CCTA). IEEE, 2018. http://dx.doi.org/10.1109/ccta.2018.8511575.

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Gao, Wei, Donglai Zhang, Enchao Zhang, and Xiaolan Yan. "Study of Magnetostrictive Guided Wave Detection of Defects in Steel Strip for Elevator Traction." In 2019 4th International Conference on Measurement, Information and Control (ICMIC). IEEE, 2019. http://dx.doi.org/10.1109/icmic48233.2019.9068594.

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Wang, Bei, and Hutao Cui. "Elevation-map based regional hazard detection for planetary landing." In 2010 International Conference on Intelligent Control and Information Processing (ICICIP). IEEE, 2010. http://dx.doi.org/10.1109/icicip.2010.5565309.

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Liu, Mingjun, Yanbin Han, Jinping Li, and Xiyuan Peng. "Detection of Grey Human Face Based on Digital Elevation Models." In 2008 IEEE International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2008. http://dx.doi.org/10.1109/icnsc.2008.4525269.

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Kim, Eun-Ho, Sang-Hyeon Bae, and Tae-Young Kuc. "Mobile service robot multi-floor navigation using visual detection and recognition of elevator features(ICCAS 2020)." In 2020 20th International Conference on Control, Automation and Systems (ICCAS). IEEE, 2020. http://dx.doi.org/10.23919/iccas50221.2020.9268202.

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Reports on the topic "Elevator Controls Detection"

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Berney, Ernest, Andrew Ward, and Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40042.

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This research developed an automated software technique for identifying type, size, and location of man-made airfield damage including craters, spalls, and camouflets from a digitized three-dimensional point cloud of the airfield surface. Point clouds were initially generated from Light Detection and Ranging (LiDAR) sensors mounted on elevated lifts to simulate aerial data collection and, later, an actual unmanned aerial system. LiDAR data provided a high-resolution, globally positioned, and dimensionally scaled point cloud exported in a LAS file format that was automatically retrieved and processed using volumetric detection algorithms developed in the MATLAB software environment. Developed MATLAB algorithms used a three-stage filling technique to identify the boundaries of craters first, then spalls, then camouflets, and scaled their sizes based on the greatest pointwise extents. All pavement damages and their locations were saved as shapefiles and uploaded into the GeoExPT processing environment for visualization and quality control. This technique requires no user input between data collection and GeoExPT visualization, allowing for a completely automated software analysis with all filters and data processing hidden from the user.
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