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Academic literature on the topic 'REAL TIME EMPLOYING'

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Published: 11 September 2023

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Journal articles on the topic "REAL TIME EMPLOYING"

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Wurmsdobler, Peter. "A Sample Control Application Employing Real Time Linux." IFAC Proceedings Volumes 33, no. 17 (July 2000): 1277–82. http://dx.doi.org/10.1016/s1474-6670(17)39590-3.

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Hsiao, P. Y., X. Z. Chen, C. C. Lin, C. H. Hua, and C. C. Chang. "Employing pipelined thinning architecture for real-time fingerprint verifier." IEE Proceedings - Computers and Digital Techniques 153, no. 5 (2006): 348. http://dx.doi.org/10.1049/ip-cdt:20050200.

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Sandsten, Jonas, Petter Weibring, Hans Edner, and Sune Svanberg. "Real-time gas-correlation imaging employing thermal background radiation." Optics Express 6, no. 4 (February 14, 2000): 92. http://dx.doi.org/10.1364/oe.6.000092.

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Smith, Richard E., and Maria Gini. "Reliable real-time robot operation employing intelligent forward recovery." Journal of Robotic Systems 3, no. 3 (June 1986): 281–300. http://dx.doi.org/10.1002/rob.4620030307.

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Lam, F. K., and C. K. Leung. "A Real-Time Network Analyzer Employing Ultrasonic Dispersive Delay Line." International Journal of Electrical Engineering & Education 22, no. 1 (January 1985): 51–62. http://dx.doi.org/10.1177/002072098502200116.

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Banks, Lewis, Martin Birch, Daniel Krueerke, Edward Buckley, Adrian Cable, Nic Lawrence, and Peter Mash. "73.4: Real-time Diffractive Video Projector Employing Ferroelectric LCOS SLM." SID Symposium Digest of Technical Papers 37, no. 1 (2006): 2018. http://dx.doi.org/10.1889/1.2433453.

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Li, Chih-Hung G., Kuei-Wen Chen, Chi-Cheng Lai, and Yu-Tang Hwang. "Real-Time Rain Detection and Wiper Control Employing Embedded Deep Learning." IEEE Transactions on Vehicular Technology 70, no. 4 (April 2021): 3256–66. http://dx.doi.org/10.1109/tvt.2021.3066677.

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Faling Chen, 陈法领, 丁庆海 Qinghai Ding, 罗海波 Haibo Luo, 惠斌 Bin Hui, 常铮 Zheng Chang, and 刘云鹏 Yunpeng Liu. "Anti-occlusion real time target tracking algorithm employing spatio-temporal context." Infrared and Laser Engineering 50, no. 1 (2021): 20200105. http://dx.doi.org/10.3788/irla20200105.

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Faling Chen, 陈法领, 丁庆海 Qinghai Ding, 罗海波 Haibo Luo, 惠斌 Bin Hui, 常铮 Zheng Chang, and 刘云鹏 Yunpeng Liu. "Anti-occlusion real time target tracking algorithm employing spatio-temporal context." Infrared and Laser Engineering 50, no. 1 (2021): 20200105. http://dx.doi.org/10.3788/irla.35_2020-0105.

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Hartz, R., D. Bristow, and N. Mullani. "A Real-Time Tofpet Slice-Backproject Engine Employing Dual Am29116 Microprocessors." IEEE Transactions on Nuclear Science 32, no. 1 (1985): 839–42. http://dx.doi.org/10.1109/tns.1985.4336952.

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Dissertations / Theses on the topic "REAL TIME EMPLOYING"

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Shaw, Martyn Joseph. "Modem design employing real-time channel evaluation." Thesis, University of Warwick, 1989. http://wrap.warwick.ac.uk/99678/.

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The thesis deals with the area of digital communications over the high frequency (HF) radio channel. It is divided into three main areas of research, the first two dealing with new methods of real time channel evaluation (RTCE) and the third with multi-frequency shift keying (MFSK) modulator and demodulators for use on HF circuits. The HF channel is simulated for use in the investigations. The first of the RTCE methods employs the technique of counting the zerocrossings of the received signal. The method is investigated mathematically and by simulation. A hybrid error correction/repeat request system is simulated which employs the RTCE method. This is tested over the simulated radio channel and is shown to give a gain in throughput compared to conventional systems. The second RTCE technique is an extension of the first, whereby higher order crossings (HOX) are counted. These HOX are the zerocrossings of a new series generated by differentiating or integrating the original signal. They are also investigated by mathematical analysis and by simulation. The third area of work is concerned with MFSK signalling. The method is investigated with respect to the various parameters of the basic format and conclusions are reached as to the best parameters to be used in a number of situation. A demodulation scheme is devised whereby demodulation, synchronisation and channel evaluation are combined into one set of operations. The method is simulated by computer and implemented on a digital signal processor (DSP). Results are presented from the method working over both a simulated HF channel and in the practical situation.
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Murray, D. "Real-time stimulation for exercising complex systems employing adaptive sensors and sensor arrays." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1397142/.

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This research investigates the current structure of the Ministry of Defence's procurement system, with particular emphasis on the procurement of military sensor systems. A lifecycle common test environment, with an appropriate commercial construct for its implementation, is proposed. Sensor systems include radar, passive RF surveillance (ESM) as well as electro-optic, infrared, sonar and other acoustic monitoring systems that are used to gather intelligence for a number of purposes including 1. Pre-empting hostile acts 2. Reducing risk to friendly forces and non-combatants in danger zones 3. Informing and prosecuting attacks on hostile forces Sensor systems often form part of larger systems, also called systems of systems. In some cases, a number of sensors are required to work together to improve information extraction by data or information fusion. It will be seen that these are complex systems. They are often designed to adapt their modes of operation to meet evolving situations. In this way, they can optimise themselves to meet their deployment objectives. These are difficult systems to specify. Therefore, they are difficult systems to test; they are expected to respond to a large number of situations that cannot easily be defined in advance of their being encountered. This research brings together technical and commercial initiatives to remove many of the existing discontinuities along the lifecycle of such projects. The discontinuities harbour technical and commercial discrepancies that detract from achieving delivery and cost targets. A pragmatic Test and Evaluation concept is defined. It is backed by a commercial process. Together they provide an independent way to deliver continuous lifecycle evaluation and test of sensor systems. This research offers a quantifiable measure of military capability improvements that complies with Systems Engineering and Management good practice.
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Maaita, Adi Abdelhalim. "Techniques for enhancing the temporal predictability of real-time embedded systems employing a time-triggered software architecture." Thesis, University of Leicester, 2009. http://hdl.handle.net/2381/4142.

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This thesis is concerned with the design and implementation of single-processor embedded real-time systems with highly predictable behaviour and strict constraints on resource usage. The main aim of this research is to identify the sources of unpredictable behaviour in such systems – exhibited as timing jitter - when a time-triggered pre-emptive task scheduling approach is adopted, and then provide software based techniques to enhance their temporal predictability. The thesis provides a review of related previous work on predictable real-time task scheduling, as well as resource-access control methods for maintaining predictable real-time system behaviour through the prevention of priority inversion and other related problems. The design and implementation of the time-triggered hybrid (TTH), time-triggered rate-monotonic (TTRM), and time-triggered deadline-monotonic (TTDM) task schedulers is discussed in detail as they provide the most predictable behaviour within the category of pre-emptive task schedulers. For that reason, they will be used as the software platforms in the experimental part of this research. Two novel software techniques for enhancing the temporal predictability in systems utilising time-triggered schedulers are introduced. The first software technique presented is a resource-access control protocol named Timed Resource-Access Protocol (TRAP). This protocol is designed to avoid the problems of priority inversion, chained blocking and deadlocks while coercing system tasks to exhibit timing predictability that is proportional to their significance in the system. This appears in the decreasing levels of task finishing jitter as the significance of tasks in the system increases. The second technique is named Planned Pre-emption (PP). This technique is aimed at eliminating the scheduling unpredictability due to variable timer interrupt service time in time-triggered scheduling systems. The impact of this technique appears in the considerable reduction in scheduler task release jitter. Finally, the thesis is concluded by a discussion and a summary of the work presented.
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Lalam, Nageswara. "Real-time rail-track monitoring system employing innovative wavelength diversity technique in distributed optical fibre sensors." Thesis, Northumbria University, 2018. http://nrl.northumbria.ac.uk/36223/.

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Brillouin based distributed fibre sensors gained a lot of attention in recent years for structural health monitoring applications, due to their higher sensing range over tens of kilometres and distributed measurement capability of simultaneous strain and temperature. In Brillouin optical time domain reflectometry (BOTDR) system, the signal-to-noise ratio (SNR) determines the sensing performance of the system. However, the SNR is limited by the restricted maximum input pump power, which is limited by the non-negligible nonlinear effects, such as stimulated Brillouin scattering. In this research, a novel wavelength diversity technique is proposed to enhance the SNR, hence improve the strain and temperature measurement accuracies, which is required for accurate rail-track condition monitoring. In addition, this research work presents the following contributions (i) a simple, low-cost passive depolarizer is adopted to reduce the polarization noise; (ii) an inline erbium-doped fibre amplifier (EDFA) is employed at a certain distance to amplify the attenuated pulse in order to improve the sensing range; and (iii) a cost-effective reference Brillouin ring laser is used in BOTDR system to overcome the complexity of the receiver bandwidth reduction. The proposed wavelength diversity BOTDR system combined with a passive depolarizer and Brillouin ring laser is validated over a 50 km sensing fibre with a 5 m spatial resolution. The SNR is improved by 5.1 dB, which corresponds to 180% improvement compared to a conventional BOTDR system. Whereas, the strain and temperature accuracies at a 50 km fibre distance are ±10 με and ±0.45oC, respectively. Furthermore, for the first time, simultaneous integration of long-term evolution (LTE) radio-over-fibre (RoF) data system and BOTDR sensing system using a single optical fibre is proposed and demonstrated. The error vector magnitude (EVM) performance of LTE-RoF data system is analysed for three modulation formats of QPSK, 16-QAM and 64-QAM in the presence of various BOTDR sensing powers.
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Razroev, Stanislav. "AUTOMATED OPTIMAL FORECASTING OF UNIVARIATE MONITORING PROCESSES : Employing a novel optimal forecast methodology to define four classes of forecast approaches and testing them on real-life monitoring processes." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-165990.

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This work aims to explore practical one-step-ahead forecasting of structurally changing data, an unstable behaviour, that real-life data connected to human activity often exhibit. This setting can be characterized as monitoring process. Various forecast models, methods and approaches can range from being simple and computationally "cheap" to very sophisticated and computationally "expensive". Moreover, different forecast methods handle different data-patterns and structural changes differently: for some particular data types or data intervals some particular forecast methods are better than the others, something that is usually not known beforehand. This raises a question: "Can one design a forecast procedure, that effectively and optimally switches between various forecast methods, adapting the forecast methods usage to the changes in the incoming data flow?" The thesis answers this question by introducing optimality concept, that allows optimal switching between simultaneously executed forecast methods, thus "tailoring" forecast methods to the changes in the data. It is also shown, how another forecast approach: combinational forecasting, where forecast methods are combined using weighted average, can be utilized by optimality principle and can therefore benefit from it. Thus, four classes of forecast results can be considered and compared: basic forecast methods, basic optimality, combinational forecasting, and combinational optimality. The thesis shows, that the usage of optimality gives results, where most of the time optimality is no worse or better than the best of forecast methods, that optimality is based on. Optimality reduces also scattering from multitude of various forecast suggestions to a single number or only a few numbers (in a controllable fashion). Optimality gives additionally lower bound for optimal forecasting: the hypothetically best achievable forecast result. The main conclusion is that optimality approach makes more or less obsolete other traditional ways of treating the monitoring processes: trying to find the single best forecast method for some structurally changing data. This search still can be sought, of course, but it is best done within optimality approach as its innate component. All this makes the proposed optimality approach for forecasting purposes a valid "representative" of a more broad ensemble approach (which likewise motivated development of now popular Ensemble Learning concept as a valid part of Machine Learning framework).
Denna avhandling syftar till undersöka en praktisk ett-steg-i-taget prediktering av strukturmässigt skiftande data, ett icke-stabilt beteende som verkliga data kopplade till människoaktiviteter ofta demonstrerar. Denna uppsättning kan alltså karakteriseras som övervakningsprocess eller monitoringsprocess. Olika prediktionsmodeller, metoder och tillvägagångssätt kan variera från att vara enkla och "beräkningsbilliga" till sofistikerade och "beräkningsdyra". Olika prediktionsmetoder hanterar dessutom olika mönster eller strukturförändringar i data på olika sätt: för vissa typer av data eller vissa dataintervall är vissa prediktionsmetoder bättre än andra, vilket inte brukar vara känt i förväg. Detta väcker en fråga: "Kan man skapa en predictionsprocedur, som effektivt och på ett optimalt sätt skulle byta mellan olika prediktionsmetoder och för att adaptera dess användning till ändringar i inkommande dataflöde?" Avhandlingen svarar på frågan genom att introducera optimalitetskoncept eller optimalitet, något som tillåter ett optimalbyte mellan parallellt utförda prediktionsmetoder, för att på så sätt skräddarsy prediktionsmetoder till förändringar i data. Det visas också, hur ett annat prediktionstillvägagångssätt: kombinationsprediktering, där olika prediktionsmetoder kombineras med hjälp av viktat medelvärde, kan utnyttjas av optimalitetsprincipen och därmed få nytta av den. Alltså, fyra klasser av prediktionsresultat kan betraktas och jämföras: basprediktionsmetoder, basoptimalitet, kombinationsprediktering och kombinationsoptimalitet. Denna avhandling visar, att användning av optimalitet ger resultat, där optimaliteten för det mesta inte är sämre eller bättre än den bästa av enskilda prediktionsmetoder, som själva optimaliteten är baserad på. Optimalitet reducerar också spridningen från mängden av olika prediktionsförslag till ett tal eller bara några enstaka tal (på ett kontrollerat sätt). Optimalitet producerar ytterligare en nedre gräns för optimalprediktion: det hypotetiskt bästa uppnåeliga prediktionsresultatet. Huvudslutsatsen är följande: optimalitetstillvägagångssätt gör att andra traditionella sätt att ta hand om övervakningsprocesser blir mer eller mindre föråldrade: att leta bara efter den enda bästa enskilda prediktionsmetoden för data med strukturskift. Sådan sökning kan fortfarande göras, men det är bäst att göra den inom optimalitetstillvägagångssättet, där den ingår som en naturlig komponent. Allt detta gör det föreslagna optimalitetstillvägagångssättetet för prediktionsändamål till en giltig "representant" för det mer allmäna ensembletillvägagångssättet (något som också motiverade utvecklingen av numera populär Ensembleinlärning som en giltig del av Maskininlärning).
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Laarabi, Mohamed Haitam. "Optimisation multicritère des itinéraires pour transport des marchandises dangereuses en employant une évaluation en logique floue du risque et la simulation du trafic à base d'agents." Thesis, Paris, ENMP, 2014. http://www.theses.fr/2014ENMP0074/document.

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Chaque jour des milliers de camions transportant des centaines de milliers de tonnes de marchandises dangereuses par diverses modalités. Toutefois, le terme “dangereux” indique une adversité intrinsèque qui caractérise ces produits transportés, et qui peuvent se manifester lors d'un accident entraînant la fuite d'une substance dangereuse. Dans une telle situation, les conséquences peuvent nuire à l'environnement et létal pour l'humain.L'importance des marchandises dangereuses revient aux bénéfices économiques considérables générés. En fait, on ne peut nier la contribution du transport des produits dérivés de combustibles fossiles, ce qui représente plus de 60% des marchandises dangereuses transportées en Europe. Eni, la société italienne leader de pétrochimie, gère chaque jour une flotte d'environ 1.500 camions, qui effectuent de nombreuses expéditions. Pourtant la distribution de produits pétroliers est une activité à grande risques, et tout accident lors du transport peut entraîner de graves conséquences.Consciente des enjeux, la division Eni R&M - Logistique Secondaire, historiquement actif au siège de Gênes, collabore depuis 2002 avec le DIBRIS à l'Université de Gênes, et le CRC à Mines ParisTech, dans le but d'étudier les améliorations possibles en matière de sûreté dans le transport de marchandises dangereuses. Au fil des ans, cette collaboration a permis le développement d'un système d'information et décisionnel. Le composant principal de ce système est une plate-forme de surveillance de la flotte Eni appelé TIP (Transport Integrated Platform), pour livrer les produits vers les points de distributions. Ces véhicules sont équipés d'un dispositif capable de transmettre des flux de données en temps réel en utilisant un modem GPRS. Les données transmises peuvent être de nature différente et contenir des informations sur l'état du véhicule, le produit et les événements détectés durant l'expédition. Ces données sont destinées à être reçues par des serveurs centralisés puis traitées et stockées, afin de soutenir diverses applications du TIP.Dans ce contexte, les études menées tout au long de la thèse sont dirigés vers le développement d'une proposition visant à réduire davantage les risques liés au transport de marchandises dangereuses. En d'autres termes, un modèle basé sur le compromis entre les facteurs économiques et sûretés pour le choix de l'itinéraire. L'objectif est motivé par la nécessité de soutenir les règlements et les normes de sécurité existantes, car ils ne garantissent pas totalement contre les accidents entrainant des marchandises dangereuses.L'objectif est effectué en prenant en compte le système existant comme base pour l'élaboration d'un système de transport intelligent (STI) regroupant plusieurs plates-formes logicielles. Ces plates-formes doivent permettre aux planificateurs et aux décideurs de suivre en temps réel leur flotte, à évaluer les risques et tous les itinéraires possibles, de simuler et de créer différents scénarios, et d'aider à trouver des solutions à des problèmes particuliers.Tout au long de cette thèse, je souligne la motivation pour ce travail de recherche, les problématiques, et les défis de transport de marchandises dangereuses. Je présente le TIP comme le noyau de l'architecture proposée du STI. Pour les besoins de la simulation, les véhicules virtuels sont injectés dans le système. La gestion de la collecte des données a été l'objet d'une amélioration technique pour plus de fiabilité, d'efficacité et d'évolutivité dans le cadre de la surveillance en temps réel. Enfin, je présente une explication systématique de la méthode d'optimisation des itinéraires considérant les critères économiques et de risques. Le risque est évalué en fonction de divers facteurs notamment la fréquence d'accidents entrainant des marchandises dangereuses, et ses conséquences. La quantification de l'incertitude dans l'évaluation des risques est modélisée en utilisant la théorie des ensembles flous
Everyday thousands of trucks transporting hundreds of thousands of tons of dangerous goods by various modalities and both within and across nations. However, the term “dangerous” indicates an intrinsic adversity that characterize these products, which can manifest in an accident leading to release of a hazardous substance (e.g. radioactive, flammable, explosive etc.). In this situation, the consequences can be lethal to human beings, other living organisms and damage the environment and public/private properties.The importance of dangerous goods boils down to the significant economic benefits that generates. In fact, one cannot deny the contribution of the transport of all fossil fuel derived product, which represents more than 60% of dangerous goods transported in Europe. Eni, the Italian leading petrochemical company, every day operates a fleet of about 1,500 trucks, which performs numerous trips from loading terminals to filling stations. Distribution of petroleum products is a risky activity, and an accident during the transportation may lead to serious consequences.Aware of what is at stake, the division Eni R&M - Logistics Secondary, historically active in Genoa headquarters, is collaborating since 2002 with the DIBRIS department at University of Genoa, and the CRC at Mines ParisTech, with the purpose of studying possible improvements regarding safety in transport of dangerous goods, particularly petroleum products. Over years, this collaboration has led to the development of different technologies and mainly to an information and decision support system. The major component of this system is a platform for monitoring Eni fleet, at the national level, to deliver the products to the distribution points, called the Transport Integrated Platform (TIP). These vehicles are equipped with a device capable of transmitting data stream in real-time using a GPRS modem. The data transmitted can be of different nature and contain information about the state of the vehicle and occurred events during the trip. These data are intended to be received by centralized servers then get processed and stored, in order to support various applications within the TIP.With this in mind, the studies undertaken throughout the thesis are directed towards the development of a proposal to further minimize the risk related to the transportation of dangerous goods. In other words, a trade-off based model for route selection taking into consideration economic and safety factors. The objective is prompted by the need to support existent regulations and safety standards, which does not assure a full warranty against accidents involving dangerous goods.The goal is carried out by considering the existent system as basis for developing an Intelligent Transportation System (ITS) aggregating multiple software platforms. These platforms should allow planners and decision makers to monitor in real-time their fleet, to assess risk and evaluate all possible routes, to simulate and create different scenarios, and to assist at finding solutions to particular problems.Throughout this dissertation, I highlight the motivation for such research work, the related problem statements, and the challenges in dangerous goods transport. I introduce the TIP as the core for the proposed ITS architecture. For simulation purposes, virtual vehicles are injected into the system. The management of the data collection was the subject of technical improvement for more reliability, efficiency and scalability in real-time monitoring of dangerous goods shipment. Finally, I present a systematic explanation of the methodology for route optimization considering both economic and risk criteria. The risk is assessed based on various factors mainly the frequency of accident leading to hazardous substance release and its consequences. Uncertainty quantification in risk assessment is modelled using fuzzy sets theory
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Tsai, Mong-Lu, and 蔡孟儒. "Planar Contour Following Employing Real-Time Visual Servoing." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/01559909141261625293.

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碩士
國立東華大學
電機工程研究所
89
Based on the theory of two-camera visual servoing, a practical control system design for planar contour following of robotics systems is pesented. Particularly, this robot task can be accomplished with the proposed image-based controller even when the correspondance of the contour in the two images is not known. A number of techniques are required for implementing such a task including ''image processing'''', ''featuer tracking'''', ''contour recognition'''', ''camera calibration'''' and ''controller design''''. In the thesis, these technologies are employed to perform some fundamental tasks in the real world that demenstrate potential application in the industry. In the experiments, two types of tools for executing the contour following are considered, one is a pencil with tip contacting the contour and the other is a laser pointer pointing the contour.
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SHARMA, Lt Col VIVEK B. "AN EFFICIENT APPROACH TOWARDS IDENTIFYING AND RECOGNIZING FACES IN REAL TIME EMPLOYING DEEP LEARNING." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19316.

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Face recognition can be termed as one of the most common uses of computer vision and image processing, in which a computerised system automatically recognises a person's face from a big image collection or even a live video. This thesis focuses on facial recognition, a topic that has received a lot of attention due to its usefulness in a variety of civilian and military applications. These systems are being used for numerous objectives like fraud management, security etc. and improving user experience. Face recognition algorithms have been developed in a variety of ways, with varying degrees of success. Due to the dynamic nature of the human face and the various stances it might adopt, this challenge is difficult to solve. In the present project, we propose to use YOLO which utilizes fewer samples as compared to CNN as the initial object detection method. We have used transfer learning on YOLO to use it for detecting faces. For finetuning face recognition models, we suggest a transfer learning (TL) method which combines TL techniques with CNN. Transfer learning may be used to train long-lasting, top-performance ML models that need less time and resources as compared to models learnt from the ground up. We executed transfer learning on a pretrained face recognition model to create a network capable of generating correct predictions on considerably smaller datasets. To achieve acceptable accuracy, convolutional neural networks are known to require big datasets. This project presents a solution to this problem by minimising the number of people involved, thereby reducing the number of training examples to one while maintaining near perfect accuracy applying the transfer learning principle
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Shao, Chia-Kai, and 邵家凱. "Hybrid Fuzzy Control of a Robotic Manipulator Employing Real-Time Visual Servoing." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/ex9975.

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碩士
國立臺北科技大學
電機工程系研究所
97
Hybrid force and pose control would typically use an expensive high dimensional force sensor in addition to vision sensors. In contast to traditional approaches, a low-cost single-axis force sensor together with CCD cameras and a laser projector can be applied to carry out hybrid fuzzy force and pose control of a robotic manipulator on 3-D surfaces. Specifically, design of hybrid fuzzy control approaches has been applied to three visual servoing configurations, eye-in-hand, eye-to-hand, and integrated eye-in-hand and eye-to-hand. After visually determining the direction normal to a 3-D surface at any given location projected by the laser projector, a robotic manipulator equipped with a low-cost single-axis force sensor is able to perform hybrid fuzzy force and pose control for drilling, bolting, and screw locking tasks. The proposed approaches have been successfully validated on 3-D surfaces by performing experiments with an industrial robotic manipulator.
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Books on the topic "REAL TIME EMPLOYING"

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Shaw, Martyn Joseph. Modem design employing real-time channel evaluation. [s.l.]: typescript, 1989.

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Stein, Judith. Politics and Policies in the 1970s and Early Twenty-first Century. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252038174.003.0008.

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This chapter examines the political economy created by politicians and business leaders in the 1970s and its links to the Great Recession. It argues that the economies of the 1970s and the contemporary world are global. Both contained imbalances among the major trading nations that led to recession. In the 1970s, the most important change that affected workers in the public and private sectors was that the long period of postwar economic growth ended between 1973 and 1975. In the United States, as classic Keynesianism employing macroeconomic techniques and free trade faltered, the labor movement proposed microeconomic industrial policy to address the crisis. A reformed Democratic party, less responsive to labor, was uninterested. Unable to govern effectively, in 1980 Democrats yielded power to a Republican party that promised to restore prosperity. President Ronald Reagan's policies did bring back growth, but they also altered the postwar mixed economy, privileging capital and sacrificing manufacturing for the chimera of high technology, finance, and real estate. This sectoral shift profoundly changed the size and composition of the labor movement. The distortions produced by this recomposition of the economy also led in time to the Great Recession.
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Book chapters on the topic "REAL TIME EMPLOYING"

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Al-Shamma, Omran, Mohammed A. Fadhel, and Haitham S. Hasan. "Employing FPGA Accelerator in Real-Time Speaker Identification Systems." In Recent Trends in Signal and Image Processing, 125–34. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6783-0_12.

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Naqvi, Kashish, Bramah Hazela, Sumita Mishra, and Pallavi Asthana. "Employing Real-Time Object Detection for Visually Impaired People." In Data Analytics and Management, 285–99. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8335-3_23.

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Zhou, Ming-Tuo, Tian-Feng Ren, Zhi-Ming Dai, and Xin-Yu Feng. "Real-Time Task Scheduling in Smart Factories Employing Fog Computing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 18–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71061-3_2.

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Kawano, Yoshiyuki, and Keiji Yanai. "FoodCam: A Real-Time Mobile Food Recognition System Employing Fisher Vector." In MultiMedia Modeling, 369–73. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04117-9_38.

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Zhang, Shaoting, Lixu Gu, Weiming Liang, Jingsi Zhang, and Feng Qian. "Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash." In Advances in Artificial Reality and Tele-Existence, 666–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11941354_69.

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Batra, Neera, and Sonali Goyal. "Real-Time Smart Traffic Analysis Employing a Dual Approach Based on AI." In Proceedings of International Conference on Recent Trends in Computing, 713–23. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8825-7_61.

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Malcangi, Mario. "Employing Smart Logic to Spot Audio in Real Time on Deeply Embedded Systems." In Engineering Applications of Neural Networks, 122–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23957-1_14.

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Fadhel, Mohammed A., and Omran Al-Shamma. "Employing Parallel Hardware Architectures to Diagnose Sickle Cell Anemia in Real-Time Basis." In Recent Trends in Signal and Image Processing, 29–39. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6966-5_4.

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Zhao, Pushe, Renyuan Zhang, and Tadashi Shibata. "Real-Time Object Tracking Algorithm Employing On-Line Support Vector Machine and Multiple Candidate Regeneration." In Artificial Intelligence and Soft Computing, 617–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29347-4_72.

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Chakraborty, Mohuya, and Arup Kumar Chattopadhyay. "Microcontroller-Based Automotive Control System Employing Real-Time Health Monitoring of Drivers to Avoid Road Accidents." In Proceedings of International Ethical Hacking Conference 2019, 151–60. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0361-0_12.

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Conference papers on the topic "REAL TIME EMPLOYING"

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Chang, Wen-Chung, and Chia-Hung Wu. "Automated packaging employing real-time vision." In First International Workshop on Pattern Recognition, edited by Xudong Jiang, Guojian Chen, Genci Capi, and Chiharu Ishll. SPIE, 2016. http://dx.doi.org/10.1117/12.2243419.

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Yasuda, Tomohiro, Tomotsuka Takayama, and Hajime Mase. "33. REAL-TIME TSUNAMI PREDICTION EMPLOYING OFFSHORE OBSERVED DATA." In Coastal Dynamics 2009 - Impacts of Human Activities on Dynamic Coastal Processes. WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789814282475_0036.

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Tarran, C. J. "Operational HF DF systems employing real time superresolution processing." In 7th International Conference on High Frequency Radio Systems and Techniques. IEE, 1997. http://dx.doi.org/10.1049/cp:19970811.

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Stein, Steffen, Matthias Ivers, Jonas Diemer, and Rolf Ernst. "A Polynomial-Time Algorithm for Computing Response Time Bounds in Static Priority Scheduling Employing Multi-linear Workload Bounds." In 2010 22nd Euromicro Conference on Real-Time Systems (ECRTS). IEEE, 2010. http://dx.doi.org/10.1109/ecrts.2010.27.

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Gorecki, C. "Real-time speckle displacement measurement employing SLM-based phase correlator." In 16th Congress of the International Commission for Optics: Optics as a Key to High Technology. SPIE, 1993. http://dx.doi.org/10.1117/12.2308721.

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Ishizuka, Koji, Koji Shimura, and Shinji Ishimoto. "A re-entry guidance law employing simple real-time integration." In Guidance, Navigation, and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-4329.

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Bates, Brian, and Brian Bates. "Developments In Real-Time Speckle Metrology Employing Spatial Light Modulation." In Interferometry '89, edited by Zbigniew Jaroszewicz, Maksymilian Pluta, Zbigniew Jaroszewicz, and Maksymilian Pluta. SPIE, 1990. http://dx.doi.org/10.1117/12.961298.

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Luo, Yuqi, Wei Ke, and Chan-Tong Lam. "Wearable Real-time Air-writing System Employing KNN and Constrained Dynamic Time Warping." In 2023 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2023. http://dx.doi.org/10.1109/wcnc55385.2023.10118944.

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Lv, Hongbo, Xiaolin Zhuang, Junjie Tu, Haohao Shi, and Qiguo Sun. "Employing support vector machines in microcontrollers and the real-time performance." In 2014 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2014. http://dx.doi.org/10.1109/icma.2014.6885892.

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Islam, Md Moinul, Md Rishad Hossain, Roger A. Dougal, and Charles W. Brice. "Analysis of real-world power quality disturbances employing time-frequency distribution." In 2016 Clemson University Power Systems Conference (PSC). IEEE, 2016. http://dx.doi.org/10.1109/psc.2016.7462816.

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Reports on the topic "REAL TIME EMPLOYING"

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Mohammadian, Abolfazl, Amir Bahador Parsa, Homa Taghipour, Amir Davatgari, and Motahare Mohammadi. Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway. Illinois Center for Transportation, September 2021. http://dx.doi.org/10.36501/0197-9191/21-033.

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Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway’s median, where I-94 merges into I-90, and there are three entrance gates in each direction of this corridor. The purpose of the reversible lanes is to help the congested direction of the Kennedy Expressway increase its traffic flow and decrease the delay in the whole corridor. Currently, experts in a control location switch the direction of the reversible lanes two to three times per day by observing real-time traffic conditions captured by a traffic surveillance camera. In general, inbound gates are opened and outbound gates are closed around midnight because morning traffic is usually heavier toward the central city neighborhoods. In contrast, evening peak-hour traffic is usually heavier toward the outbound direction, so the direction of the reversible lanes is switched from inbound to outbound around noon. This study evaluates the Kennedy Expressway’s current reversing operation. Different indices are generated for the corridor to measure the reversible lanes’ performance, and a data-driven approach is selected to find the best time to start the operation. Subsequently, real-time and offline instruction for the operation of the reversible lanes is provided through employing deep learning and statistical techniques. In addition, an offline timetable is also provided through an optimization technique. Eventually, integration of the data-driven and optimization techniques results in the best practice operation of the reversible lanes.
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Fazlollahtabar, Hamed, ed. Business Analytics for SME Productivity. Asian Productivity Organization, May 2023. http://dx.doi.org/10.61145/slsj5506.

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This P-Insights report, "Business Analytics for SME Productivity," emphasizes the importance of productivity for the survival and growth of SMEs. By employing business analytics (BA), SMEs can reap significant benefits and transform with changing times. Dr. Hamed Fazlollahtabar provides a comprehensive guide with step-by-step techniques on how SMEs and business analysts can successfully use BA to enhance productivity.
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