Relevant bibliographies by topics / On-road diagnostic

Contents

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

Academic literature on the topic 'On-road diagnostic'

Author: Grafiati
Published: 28 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "On-road diagnostic"

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Johnson, Horton A. "Diminishing Returns on the Road to Diagnostic Certainty." JAMA: The Journal of the American Medical Association 265, no. 17 (May 1, 1991): 2229. http://dx.doi.org/10.1001/jama.1991.03460170083038.

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Johnson, H. A. "Diminishing returns on the road to diagnostic certainty." JAMA: The Journal of the American Medical Association 265, no. 17 (May 1, 1991): 2229–31. http://dx.doi.org/10.1001/jama.265.17.2229.

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Cai, Xiaoyu, Cailin Lei, Bo Peng, Xiaoyong Tang, and Zhigang Gao. "Road Traffic Safety Risk Estimation Method Based on Vehicle Onboard Diagnostic Data." Journal of Advanced Transportation 2020 (February 26, 2020): 1–13. http://dx.doi.org/10.1155/2020/3024101.

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Currently, research on road traffic safety is mostly focused on traffic safety evaluations based on statistical indices for accidents. There is still a need for in-depth investigation on preaccident identification of safety risks. In this study, the correlations between high-incidence locations for aberrant driving behaviors and locations of road traffic accidents are analyzed based on vehicle OBD data. A road traffic safety risk estimation index system with road traffic safety entropy (RTSE) as the primary index and rapid acceleration frequency, rapid deceleration frequency, rapid turning frequency, speeding frequency, and high-speed neutral coasting frequency as secondary indices is established. A calculation method of RTSE is proposed based on an improved entropy weight method. This method involves three aspects, namely, optimization of the base of the logarithm, processing of zero-value secondary indices, and piecewise calculation of the weight of each index. Additionally, a safety risk level determination method based on two-step clustering (density and k-means clustering) is also proposed, which prevents isolated data points from affecting safety risk classification. A risk classification threshold calculation method is formulated based on k-mean clustering. The results show that high-incidence locations for aberrant driving behaviors are consistent with the locations of traffic accidents. The proposed methods are validated through a case study on four roads in Chongqing with a total length of approximately 38 km. The results show that the road traffic safety trends characterized by road safety entropy and traffic accidents are consistent.
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Cafiso, Salvatore, A. Di Graziano, R. Fedele, V. Marchetta, and F. Praticò. "Sensor-based pavement diagnostic using acoustic signature for moduli estimation." International Journal of Pavement Research and Technology 13, no. 6 (November 2020): 573–80. http://dx.doi.org/10.1007/s42947-020-6007-4.

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AbstractThe diffusion of smart infrastructures for smart cities provides new opportunities for the improvement of both road infrastructure monitoring and maintenance management.Often pavement management is based on the periodic assessment of the elastic modulus of the bound layers (i.e., asphalt concrete layers) by means of traditional systems, such as Ground Penetrating Radar (GPR) and Falling Weight Deflectometer (FWD). Even if these methods are reliable, well-known, and widespread, they are quite complex, expensive, and are not able to provide updated information about the evolving structural health condition of the road pavement. Hence, more advanced, effective, and economical monitoring systems can be used to solve the problems mentioned above.Consequently, the main objective of the study presented in this paper is to present and apply an innovative solution that can be used to make smarter the road pavement monitoring. In more detail, an innovative Non-Destructive Test (NDT)-based sensing unit was used to gather the vibro-acoustic signatures of road pavements with different deterioration levels (e.g. with and without fatigue cracks) of an urban road. Meaningful features were extracted from the aforementioned acoustic signature and the correlation with the elastic modulus defined using GPR and FWD data was investigated.Results show that some of the features have a good correlation with the elastic moduli of the road section under investigation. Consequently, the innovative solution could be used to evaluate the variability of elastic modulus of the asphalt concrete layers, and to monitor with continuity the deterioration of road pavements under the traffic loads.
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Carneiro, Pedro, Simone Morais, and Maria do Carmo Pereira. "Biosensors on the road to early diagnostic and surveillance of Alzheimer's disease." Talanta 211 (May 2020): 120700. http://dx.doi.org/10.1016/j.talanta.2019.120700.

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Sedláčková, Hana, Olga Dolejšová, Milan Hora, Jiří Ferda, Ondřej Hes, Ondřej Topolčan, Radka Fuchsová, and Radek Kučera. "Prostate Cancer Diagnostic Algorithm as a “Road Map” from the First Stratification of the Patient to the Final Treatment Decision." Life 11, no. 4 (April 7, 2021): 324. http://dx.doi.org/10.3390/life11040324.

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The diagnostics of prostate cancer are currently based on three pillars: prostate biomarker panel, imaging techniques, and histological verification. This paper presents a diagnostic algorithm that can serve as a “road map”: from initial patient stratification to the final decision regarding treatment. The algorithm is based on a review of the current literature combined with our own experience. Diagnostic algorithms are a feature of an advanced healthcare system in which all steps are consciously coordinated and optimized to ensure the proper individualization of the treatment process. The prostate cancer diagnostic algorithm was created using the prostate specific antigen and in particular the Prostate Health Index in the first line of patient stratification. It then continued on the diagnostic pathway via imaging techniques, biopsy, or active surveillance, and then on to the treatment decision itself. In conclusion, the prostate cancer diagnostic algorithm presented here is a functional tool for initial patient stratification, comprehensive staging, and aggressiveness assessment. Above all, emphasis is placed on the use of the Prostate Health Index (PHI) in the first stratification of the patients as a predictor of aggressiveness and clinical stage of prostrate cancer (PCa). The inclusion of PHI in the algorithm significantly increases the accuracy and speed of the diagnostic procedure and allows to choose the optimal pathway just from the beginning. The use of advanced diagnostic techniques allows us to move towards to a more advanced level of cancer care. This diagnostics algorithm has become a standard of care in our hospital. The algorithm is continuously validated and modified based on our results.
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BRYN, Mikhail Ya, Dinara R. BASHIROVA, and Artur G. BAGISHYAN. "Comparative evaluation of mobile laser scanning, aerial photography from an unmanned aircraft system and surveying from an integrated road laboratory when performing diagnostics of highways." Proceedings of Petersburg Transport University 2021, no. 2 (June 2021): 211–21. http://dx.doi.org/10.20295/1815-588x-2021-2-211-221.

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Objective: To compare the possibilities of using mobile laser scanning (MLS) and aerial photography (AFS) from an unmanned aircraft system (UAS) and to make a survey from an integrated road laboratory when performing diagnostics of highways. Methods: For the analysis, a section of the regional road in the Kursk region was selected, on which the survey was carried out using considered methods. The main characteristics were identified when performing the diagnostics, their values were obtained on the basis of data from the integrated road laboratory, aerial photography with UAS, as well as ILS, and the accuracy of the results obtained, the compliance of the data with the requirements of regulatory documents were assessed. Results: Based on the work performed, the following conclusions were made: the determination of identified diagnostic parameters by the methods of ILS and APS with UAS is correct and aerial photography with UAS at the cost of equipment, the cost of shooting is the most profitable when drawing up topographic road plans. It is noted that in terms of accuracy, the APS method meets the requirements for plans at a scale of 1:500, MLS – 1:1000. Practical importance: Not all indicators required for diagnostics can be obtained with APS with ALS and MLS, since they require specialized equipment and direct interaction with the road surface, however, the range of application of the selected methods can be significantly expanded. Adhesion coefficient is measured using an integrated mobile road laboratory, so it is not advisable to abandon it. It was noted that the equipment of the laboratory, depending on the cost, may be different
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Krstić, Vojislav, Nikola Krstić, and Božidar Krstić. "Determining the cause of engine failure based on the retrospective diagnostic function." IMK-14 - Istrazivanje i razvoj 26, no. 4 (2020): 115–21. http://dx.doi.org/10.5937/imk2004115k.

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The was a failure on the drive engine of the road vehicle. On it, maintenance procedures were carried out in the service. After an extremely short period of operation, engine failure by the same mechanism of occurrence occurred again. The paper sheds light on the problem of engine malfunctions, establishes cause-and-effect relationships and proposes measures to eliminate the causes of failure.
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Oliva, A., and P. G. Schyns. "Diagnostic Colours Influence Speeded Scene Recognition." Perception 25, no. 1_suppl (August 1996): 114. http://dx.doi.org/10.1068/v96l1007.

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A critical aspect of early visual processes is to extract shape data for matching against memory representations for recognition. Many theories of recognition assume that this is achieved by luminance information. However, psychophysical studies have revealed that colour is being used by low-level visual modules such as motion, stereopsis, texture, and 2-D shapes. Should colour really be discarded from theories of recognition? Here we present two studies which seek to throw light on the role of chromatic information for the recognition of real scene pictures. We used three versions of scene pictures (gray levels, normally coloured and abnormally coloured) coming from two broad categories. In the first category, colour was diagnostic of the category (eg beach, forest, and valley). In the second category colour was not diagnostic (eg city, road, and room). In the second category colour was not diagnostic (eg city, road, and room). Results revealed that chromatic information is being registered and facilitates recognition even after a 30 ms exposure to the scene stimuli. However, influences of colour on speeded categorisations were only observed with the colour-diagnostic categories. No influence of colour was observed with the other categories. A similar pattern of results was observed with 120 ms exposure. However, there was an interference of the wrong colour on recognition in colour-diagnostic categories. In sum, colour, when it is diagnostic of the category, influences speeded scene recognition.
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Prażnowski, Krzysztof, Sebastian Brol, and Andrzej Augustynowicz. "Identification of Static Unbalance Wheel of Passenger Car Carried out on a Road." Solid State Phenomena 214 (February 2014): 48–57. http://dx.doi.org/10.4028/www.scientific.net/ssp.214.48.

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This paper presents a method of identification of non-homogeneity or static unbalance of the structure of a car wheel based on a simple road test. In particular a method the detection of single wheel unbalance is proposed which applies an acceleration sensor fixed on windscreen. It measures accelerations cause by wheel unbalance among other parameters. The location of the sensor is convenient for handling an autonomous device used for diagnostic purposes. Unfortunately, its mounting point is located away from wheels. Moreover, the unbalance forces created by wheels spin are dumped by suspension elements as well as the chassis itself. It indicates that unbalance acceleration will be weak in comparison to other signals coming from engine vibrations, road roughness and environmental effects. Therefore, the static unbalance detection in the standard way is considered problematic and difficult. The goal of the undertaken research is to select appropriate transformations and procedures in order to determine wheel unbalance in these conditions. In this investigation regular and short time Fourier transform were used as well as wavelet transform. It was found that the use of Fourier transforms is appropriate for static condition (constant velocity) but the results proves that the wavelet transform is more suitable for diagnostic purposes because of its ability of producing clearer output even if car is in the state of acceleration or deceleration. Moreover it was proved that in the acceleration spectrum of acceleration measured on the windscreen a significant peak can be found when car runs with an unbalanced wheel. Moreover its frequency depends on wheel rotational frequency. For that reason the diagnostic of single wheel unbalance can be made by applying this method.
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Dissertations / Theses on the topic "On-road diagnostic"

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Vaněk, Vojtěch. "Diagnostika stavu tlumiče za jízdy vozidla." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445178.

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The diploma thesis deals with the analysis of the effects of shock absorber wear on the driving dynamics of the vehicle. Furthermore, a quarter model of the car was created in the Simulink software, where a procedure for evaluating the condition of the shock absorber while driving the vehicle was created. This procedure was subsequently validated on real measured data from the Hummer H3 car.
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Books on the topic "On-road diagnostic"

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Road to Restoration through the Diagnosis of Breast Cancer and Walking on by Faith. Trafford Publishing, 2006.

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Blume, John H., Sheri L. Johnson, and Amelia C. Hritz. The American experience with the categorical ban against executing the intellectually disabled: New frontiers and unresolved questions. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198722373.003.0012.

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In 2002, in Atkins v Virginia, the US Supreme Court ruled that executing individuals with intellectual disability violated the Constitution’s Cruel and Unusual Punishment Clause. The Court, however, left it to the states to implement the new categorical exclusion. Post-Atkins, some states have adopted definitions of intellectual disability and procedures that make it virtually impossible for defendants to prevail. Setting aside the disparate treatment of those who clearly fall within the clinical definition of intellectual disability, questions remain about the fairness and morality of executing someone who falls just on the ‘wrong’ side of the diagnostic line, but in every relevant respect is equally disabled. Atkins represents a steps down the road toward humanitarian recognition that many persons with mental disabilities are not sufficiently morally culpable for the death penalty.
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Steketee, Gail. Introduction. Edited by Gail Steketee. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195376210.013.0012.

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The Oxford Handbook of Obsessive Compulsive and Spectrum Disorders reviews current literature on obsessive compulsive disorder (OCD) and its associated spectrum conditions of body dysmorphic disorder (BDD), hoarding, trichotillomania and tic disorders. Authors who are leading researchers in their fields summarize and synthesize the current knowledge about these OC spectrum disorders to provide a road map for the field and open the door to new research and further study. This introduction previews the contents of the book and highlights some of the challenges in current research on epidemiology, features, and diagnosis, as well as biological and psychosocial theories and treatments for these conditions.
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Szymanski, Jeff, and Carly Bourne. OCD Advocacy and Addressing Stigma. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0066.

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In order to improve outcomes for individuals struggling with obsessive compulsive disorder (OCD), structural and societal barriers to effective diagnosis and treatment must be addressed. Stigma about mental disorders and a lack of awareness about OCD among the general population, as well as in the mental health community, remain major obstacles to accessing treatment. A variety of awareness-raising campaigns and advocacy initiatives have been created to help overcome those barriers. This chapter reviews the World Health Organization’s guidelines for health advocacy and provides examples of how to apply this road map in advocating for patients with OCD. The focus of this chapter is on the following five elements: Awareness Raising, Information, Education, Training, and Mutual Help.
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Book chapters on the topic "On-road diagnostic"

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Lee, Hwa Soo, You Na Song, Gyu Seong Han, and Kyeong Soon Han. "Analysis and Diagnosis of the Buddhist Wall Paintings in the Josadang Shrine, Buseoksa Temple, Korea." In Conservation and Painting Techniques of Wall Paintings on the Ancient Silk Road, 265–86. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4161-6_15.

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Gong, Shichao, Bo Peng, Daijun Chen, Yongqiang Tang, and Pengfei Wang. "Diagnosis of Road-Induced Drumming Noise of Passenger Car Based on Multiple Coherence Method." In Lecture Notes in Electrical Engineering, 737–48. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9718-9_57.

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B. Mehanathan, Pabithadevi, Subash Metha, Athisayamani Jeyapaul, and Reesha Pa. "Blunt Injury Abdomen." In Trauma and Emergency Surgery [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98568.

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Road traffic accidents are one of the leading causes of mortality. Blunt injury abdomen contributes to the mortality in road traffic accidents second to head injury. The mechanism of injury in road traffic accidents are due to blunt force created by collision between the patient and the external forces, acceleration and deceleration forces acting on the person’s internal forces. The common solid organs involved in blunt abdominal trauma are Spleen, Liver, and Kidney. Mesenteric tear and isolated small bowel injuries can also occur. Blunt abdominal trauma is one of the very common emergencies in the emergency department. High degree of suspicion and watchfulness, regular examination, imaging and investigations are needed to diagnose blunt injury abdomen. E-FAST is the emergency screening tool used to diagnose intra-abdominal injuries in emergency department even in hemodynamically unstable patient. The treatment will depend on the hemodynamical status, whether stable or unstable. Hemodynamically unstable patient with positive E-FAST will be taken up for emergency exploration while stable patient will undergo further imaging and investigation to plan the management. The chapter will discuss about the grades of injuries in spleen, Liver, mesentery and retroperitoneum. It will also discuss about the various diagnostic and treatment modalities available and when and where to use them to improve the quality of management. This chapter will be useful for the surgical postgraduates and young budding surgeons and trauma surgeons.
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Pies, Ronald W. "Thomas Szasz and the language of mental illness." In Thomas Szasz, edited by C. V. Haldipur, James L. Knoll, and Eric v. d. Luft, 155–66. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780198813491.003.0013.

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Szasz famously declared mental illness a “myth” and a “metaphor,” arguing that psychiatry’s diagnostic categories are only temporary stops on the road to “real” and “legitimate” bodily diseases. He argued that conditions once regarded as “mental illnesses” would rightly be reclassified as “brain diseases,” insofar as scientific investigations would uncover their neuropathology. Based on a critique of six foundational claims in Szasz’s writings, the author of this chapter argues that psychopathology and neuropathology are complementary rather than contradictory or disjunctive. Just as some mental illnesses may be considered brain diseases, some brain diseases may manifest as “mental illness.” The locution, “mental illness,” remains useful, albeit imperfect, shorthand to describe a particular kind of suffering and incapacity, usually affecting cognition, emotion, reasoning, or behavior. Even if all mental illnesses were conclusively and causally linked to specific brain abnormalities, we would still need “mental language” in both ordinary discourse and the vocabulary of clinical work.
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Banerjee, Avijit, and Timothy F. Watson. "Diagnosis, prognosis, and care planning: ‘information processing’." In Pickard's Guide to Minimally Invasive Operative Dentistry. Oxford University Press, 2015. http://dx.doi.org/10.1093/oso/9780198712091.003.0006.

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Once a general and targeted history, examination, and investigations have been carried out (‘information gathering’), it is time for the dentist and their oral healthcare team to assimilate all of the relevant information in order to formulate a diagnosis, prognosis, and care plan for the individual patient (‘information processing’). Although the detection and diagnostic phases are each discussed separately in this book, an experienced clinician will often accomplish both phases simultaneously. It is vital to remember that diagnosis precedes treatment in all cases. Diagnosis is the art or act of inferring, from its signs and symptoms or manifestations, the nature or cause of an illness or condition. This stage is critical in order to allow the dental team and the patient to appreciate the nature, cause, and severity of the illness or condition. The prognosis is the forecast of the course of a disease or the patient’s response to treatment of the disease. This stage helps the dentist and the patient to understand how easy or difficult the treatment will be to carry out, and it allows assessment of the patient’s motivation to cure the problem. In dentistry, the oral healthcare team can only start the patient off on the road to recovery by restoring form and function to their dentition as well as helping the patient to prevent or control the disease process, so preventing its return. It is then up to the patient whether they follow this advice and maintain their oral health in the future. This plan is the formal itemized management strategy, developed by the dentist and their oral healthcare team, for the individual patient to treat the manifestations of a disease and to control it or prevent it from recurring. It can be divided into phases of therapy (e.g. prevention or control, stabilization or definitive treatment, and review, reassessment, or recall), and it should be adapted and modified during its execution for maximum benefit to the patient. It should take into account unforeseen developments in the course of the disease or the patient’s response to care. It should be written down and made clear to all parties for discussion, so that informed consent can be gained prior to implementation.
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Tosti, Fabio, and Andrea Umiliaco. "FDTD Simulation of the GPR Signal for Preventing the Risk of Accidents Due to Pavement Damages." In Civil and Environmental Engineering, 597–605. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9619-8.ch026.

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It is well known that road safety issues are closely dependent on both pavement structural damages and surface unevenness, whose occurrence is often related to ineffective pavement asset management. The evaluation of road pavement operability is traditionally carried out through distress identification manuals on the basis of standardized comprehensive indexes, as a result of visual inspections or measurements, wherein the failure causes can be partially detected. In this regard, ground-penetrating radar (GPR) has proven to be over the past decades an effective and efficient technique to enable better management of pavement assets and better diagnosis of the causes of pavement failures. In this study, one of the main causes (i.e. subgrade failures) of surface damage is analyzed through finite-difference time-domain (FDTD) simulation of the GPR signal. The GprMax 2D numerical simulator for GPR is used on three different types of flexible pavement to retrieve the numerical solution of Maxwell's equations in the time domain. Results show the high potential of GPR in detecting the causes of such damage.
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Akaichi, Jalel, and Linda Mhadhbi. "A Clinical Decision Support System." In Geospatial Research, 1589–613. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9845-1.ch075.

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Inadequate response and bad decisions taken by mobile physicians may lead to bad consequences threatening rescued people lives. Moreover, there are growing information that overload physicians when facing urgent cases. In order to facilitate the on road decision making for the mobile physicians, we propose a clinical decision support system based on an ontology driven approach for effective emergency management that allows finding out as quickly as possible the needed medical resources and reserves the most suitable health care institutions according to the patient state. Specifically, this work permits to localize rapidly the closets health care institution to the emergency scene, to find out the needed medical resources to deal with the patient first diagnosis, to match the localized health care institutions that contain the necessary medical resources to fulfil the patient determined needs, and to rank medical institutions, according to urgent case requirements, in order to allow the mobile physician to perform the adequate choice of one of them.
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Akaichi, Jalel, and Linda Mhadhbi. "A Clinical Decision Support System." In Improving Health Management through Clinical Decision Support Systems, 270–94. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9432-3.ch013.

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Inadequate response and bad decisions taken by mobile physicians may lead to bad consequences threatening rescued people lives. Moreover, there are growing information that overload physicians when facing urgent cases. In order to facilitate the on road decision making for the mobile physicians, we propose a clinical decision support system based on an ontology driven approach for effective emergency management that allows finding out as quickly as possible the needed medical resources and reserves the most suitable health care institutions according to the patient state. Specifically, this work permits to localize rapidly the closets health care institution to the emergency scene, to find out the needed medical resources to deal with the patient first diagnosis, to match the localized health care institutions that contain the necessary medical resources to fulfil the patient determined needs, and to rank medical institutions, according to urgent case requirements, in order to allow the mobile physician to perform the adequate choice of one of them.
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Cueva-Fernandez, Guillermo, Jordán Pascual Espada, and Vicente García-Díaz. "Voice Application Generator Platform for Real Time Multimedia Vehicle Sensor Based Notifications." In Application Development and Design, 593–606. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3422-8.ch025.

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Nowadays, many software applications are used to offer services or functionalities to drivers. Even though, there is a lack of applications that offer drivers the possibility to express their need to generate a specific application in real time. In this research, the authors present an innovative platform that allows users to generate multimedia web applications that use real time vehicle sensor information. The creation of applications is specified through a voice interface to allow users to generate applications while driving. Information used in the applications is collected combining mobile device sensors (accelerometer, GPS, light sensor, barometer, etc.) and vehicle real time On-board Diagnosis port information (speed, engine revolutions per minute, fuel consumption, coolant temperature, throttle, battery voltage, etc.). The domain of generated applications includes driving safety, road state, parameter notifications, social applications, etc. The generated applications can display visual information systems such as maps, audio, video and measurement gauges. For the analysis of this paper, the authors present three prototypes to demonstrate the platform capabilities.
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Esquivel-Velázquez, Marcela, Carlos Larralde, Pedro Ostoa-Saloma, Víctor Hugo Del Río Araiza, and Jorge Morales-Montor. "The Long Road to the Immunodiagnosis of Neurocysticercosis: Controversies and Confusions." In Current State of the Art in Cysticercosis and Neurocysticercosis [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98723.

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To date, even widely studied, there is not a standard diagnostic method to detect neurocysticercotic patients. The later due to the complex nature of cysticercosis disease and the simplicity of common immunological assumptions involved in explaining the low scores and reproducibility of immunotests in the diagnosis of neurocysticercosis. To begin with, the few studies dealing with the immune response during neurocysticercosis are not conclusive, which of course it is crucial to develop an immunodiagnostic test. Their full recognition should clear confusion and reduce controversy as well as provide avenues of research and technological design. In here, logical arguments add that even under common immunological assumptions, serology of neurocysticercosis will always include false negative and positive results. Thus, serology is no strong support for medical diagnosis of neurocysticercosis (NC). In contrast, immunotests performed in the cerebrospinal fluid (CSF) of neurological patients should have fewer false positive and fewer false negatives than in serum. To conclude, it is argued that high scores in serology for NC will not yield to usual approaches and that success needs of a concerted worldwide effort. A more punctilious strategy based on the design of panels of confirmed positive and negative sera needs to be construed, shared and tested by all interested groups to obtain comparable results. The identification of a set of specific and representative antigens of Taenia solium (T. solium) and a thorough compilation of the many forms of antibody response of humans to the many forms of T. solium disease are also to be considered as one of the most importants factors to the disease.
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Conference papers on the topic "On-road diagnostic"

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Uspenskiy, A., and V. Boikov. "Universal On-Board Diagnostic System for On-Road and Off-Road Equipment." In International Off-Highway & Powerplant Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2002. http://dx.doi.org/10.4271/2002-01-1334.

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Minami, Takahiro, Makoto Fujiu, Jyunichi Takayama, Shinya Suda, and Shuya Okumura. "A Study on Image Diagnostic Technology for Bridge Inspection Using Ultra High Resolution Camera." In Fifth International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2018. http://dx.doi.org/10.5592/co/cetra.2018.828.

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Su, Donglan, Benmin Liu, Zhongyin Guo, and Zhizhong Li. "Rapid Diagnostic Model of Road Lifeline Seismic Damage Based on Seismic Intensity." In Access Management Theories and Practices. Reston, VA: American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784413869.004.

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Nanjundaswamy, Harsha K., Dean Tomazic, Mufaddel Dahodwala, and Erik Koehler. "Road Map for Addressing Future On-Board-Diagnostic Challenges in Light and Heavy-Duty Diesel Engines." In SAE 2012 World Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2012. http://dx.doi.org/10.4271/2012-01-0895.

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Kern, Joshua V., and John B. Ferris. "Characterizing 2-D Topographic Mappings of Roads." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-15233.

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Load data representing severe customer usage is needed throughout a chassis development program; the majority of these chassis loads originate with the excitation from the road. These chassis loads are increasingly derived from vehicle simulations, however simulating a vehicle traversing long roads is impractical and a method to produce short roads with given characteristics must be developed. The first step is to consider the road to be a realization of an underlying stochastic process. There are many methods currently available to characterize roads when they are assumed to be homogeneous. The issue of non-stationarity that arises when a vehicle traverses a homogenous road at a varying speed has also been discussed. This work develops of method of characterizing non-stationary road profile data using a pure autoregressive process. The model is developed utilizing the sample autocorrelation and partial autocorrelation functions. The adequacy of the model is evaluated through statistical diagnostic checks performed on synthetic road data generated by the autoregressive model parameters. Use of these parameters to classify roads is also discussed as possible future work. Any synthetic road realized from a given class of model parameters will represent all roads in that set.
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6

Koteš, Peter, Josef Vican, and Jozef Prokop. "Change of load-carrying capacity of real bridge structure due to modified reliability levels and planned remaining lifetime." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. Zurich, Switzerland: International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.0377.

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<p>The paper is focused on diagnostic and calculation of load-carrying capacity of bridge object in village Vitanova, Slovakia. The bridge is on the road II/520 connecting town Trstenná and village Suchá Hora near border with Poland and bypass the river Oravica. The bridge object was built in 1957, so, it was 60 years old bridge in time of calculation in 2017. It is reinforced concrete slab bridge of two single spans. In 2016, the Department of Structures and Bridges, the Faculty of Civil Engineering, University of Žilina, was asked to carry out the construction and technical survey and diagnostic of above mentioned bridge. The visual inspection, diagnostic, verifying real dimensions and material characteristics were requested. In 2017, the calculation of load-carrying capacity was done. For determining the load-carrying capacity, the standard approach given in Eurocodes was used. As an alternative, the modified (lower) reliability levels and their adequate partial safety factors according to Eurocodes were used.</p>
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7

Lee, Yong H. "Automatic Speed Control System for Vehicle Approaching and Driving on a Curve." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68343.

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Based on the curvature information for an upcoming road, an automatic speed control system regulates vehicle speed to improve vehicle curve following performance. The road information is extracted from a digitally stored map using the current vehicle position obtained from Global Positioning System (GPS) data. Then, a safe curve speed is determined using the lateral dynamics of vehicle in turn to ensure proper curve handling. Other factors, such as vehicle characteristics, driver preferences, and road and environment conditions are also considered so that vehicle safety and driver comfort are enhanced. An acceleration command is generated from the current vehicle speed and the desired curve speed profile. Driving mode, such as conservative, normal, or aggressive mode, can be selected from the console for a desired driving style. The gain and preview time to determine the vehicle cornering speed are selected according to driver’s preference. The functional blocks of the system include computation of the road curvature, determination of a desired curve speed profile for the best cornering performance for an upcoming curve, and regulation of vehicle speed toward the desired speed. Signal input blocks and actuator control blocks are added to interface with the bus oriented sensors and actuators. The entrance and exit conditions block checks for various vehicle status signals to enter or exit the curve speed control mode gracefully. It also generates a diagnostic message when map data is absent or an error occurs on acceleration command computation. The vehicle studies indicated that the curve speed control system is effective in regulating vehicle speed during curve following maneuvers.
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Wentzel, Richard E., and Allan Aubert. "Using a Dynamometer Along With Road Tests to Measure Vehicle Rolling and Wind Noise." In ASME 2008 Noise Control and Acoustics Division Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/ncad2008-73027.

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The consumer today places greater demands upon the vehicle acoustical engineer than in the past. Product quality has always been associated with a quiet ride. Automotive engineers recognize that the predominant sources of vehicle interior noise are wind, tire-road or rolling noise, and the powertrain. This paper suggests a test protocol for measuring wind and rolling noise using a chassis rolls dynamometer and road tests. Automotive engineers are frequently confronted by customer complaints concerning wind noise. Usually, engineers resort to using wind tunnels to address these concerns and to conduct diagnostic studies to remedy wind noise problems. Unfortunately, wind tunnels are expensive to rent and difficult to schedule. As an alternative, the engineer can learn a great deal about the wind noise of a vehicle by using a chassis rolls dynamometer along with road tests [1,2]. If the chassis rolls surface texture closely matches that of the road surface, the tire-road or rolling noise signal in both situations can be assumed to be equivalent. The powertrain noise source can be minimized by shifting the vehicle into neutral and coasting. Wind noise is a source for the road measurements, but not for the chassis rolls. Hence, the wind noise can be calculated by measuring the cab interior noise for both operating conditions, and subtracting the rolling noise measured on the chassis rolls. The two vehicles tested in this study included a pickup truck and a sport utility vehicle. The acoustical data revealed significantly different rolling and wind noise characteristics. The pickup truck had significantly louder rolling noise, and the wind noise was dominated by low frequency sound. The sport utility vehicle was much quieter overall and was significantly quieter for rolling noise than the pickup. The wind noise of the sport utility vehicle also was dominated by high frequency components. Both vehicles showed that rolling and wind noise trends increase linearly with speed. However, the slope of wind noise data for the sport utility vehicle was much steeper than the pickup, which suggested that it was more sensitive to wind noise as speed increased. Exterior noise data from both vehicles showed that the tire-road signal from the road differed significantly from that of the chassis rolls dynamometer. Rolling & wind noises will become even more critical as the motor vehicle industry adopts hybrid electric and, in the future electric fuel cell vehicles, because powertrain noise sources in the vehicle will likely be reduced. The procedure suggested here provides an inexpensive simple approach to assessing rolling and wind noise in the vehicle.
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Baharudin, Ezral, Jarkko Nokka, Henri Montonen, Paula Immonen, Asko Rouvinen, Lasse Laurila, Tuomo Lindh, Aki Mikkola, Jussi Sopanen, and Juha Pyrhönen. "Simulation Environment for the Real-Time Dynamic Analysis of Hybrid Mobile Machines." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-47024.

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The interest in using hybrid technology in Non-Road Mobile Machinery (NRMM) has increased significantly in the late 2000s due to tightening emission regulations (Tier 4). In general, utilization of hybrid technology can simplify the vehicle driveline compared to conventional mechanical and hydraulic power transmissions. On the other hand, hybrid technology and its different driving modes and multiple power sources creates new challenges in the design process. Many industries have used co-simulation and virtual prototyping approaches successfully as a development and diagnostic tool. However, it is still rarely used in the design of hybrid mobile machines. This is due to the fact, that the computer analysis of a mobile machine is a multidisciplinary task which requires a deep knowledge in several engineering areas. In this paper, a novel real-time co-simulation platform is presented that couples multi-body dynamics based physics modelling and Matlab/Simulink–based hybrid driveline modelling. The presented approach enables a fast and accurate virtual prototyping tool to calculate dimension hybrid driveline components and test various hybridization concepts.
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10

Wood, K. "Congestion analysis and diagnosis in UTC networks." In Seventh International Conference on `Road Traffic Monitoring and Control'. IEE, 1994. http://dx.doi.org/10.1049/cp:19940450.

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