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Articoli di riviste sul tema "CONTROL SIGNAL"

Autore: Grafiati

Pubblicato: 11 settembre 2023

Ultima modifica: 26 luglio 2025

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1

Shellenberger, Richard O., and Paul Lewis. "Signal Control by Six Signals." Psychological Reports 63, no. 1 (1988): 311–18. http://dx.doi.org/10.2466/pr0.1988.63.1.311.

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In previous signal-control experiments, several types of stimuli elicited pecking when paired with peck-contingent grain. Here, we compared the effectiveness of an auditory stimulus and five visual stimuli. For 12 pigeons, the first keypeck to follow the offset of a 4-sec. signal was reinforced with grain. We examined the following signals: a tone, a white keylight, a dark keylight, a keylight that changed from white to red, houselight onset, and houselight offset. All signals acquired strong control over responding. According to one measure, percent of signals with a peck, houselight offset s

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K Avzekar Amruta, Minal. "Adaptive Traffic Signal Control with VANET." International Journal of Scientific Engineering and Research 2, no. 3 (2014): 30–32. https://doi.org/10.70729/1140306.

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Logan, Gordon D., Russell J. Schachar, and Rosemary Tannock. "Impulsivity and Inhibitory Control." Psychological Science 8, no. 1 (1997): 60–64. http://dx.doi.org/10.1111/j.1467-9280.1997.tb00545.x.

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We report an experiment testing the hypothesis that impulsive behavior reflects a deficit in the ability to inhibit prepotent responses Specifically, we examined whether impulsive people respond more slowly to signals to inhibit (stop signals) than non-impulsive people In this experiment, 136 undergraduate students completed an impulsivity questionnaire and then participated in a stop-signal experiment, in which they performed a choice reaction time (go) task and were asked to inhibit their responses to the go task when they heard a stop signal The delay between the go signal and the stop sign

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Meghani, Jayesh, Gaurav Gumbade, and Komal A. Chaudhari. "Intelligent RF-ID based Traffic Signal Control." International Journal of Science and Research (IJSR) 12, no. 11 (2023): 1858–61. http://dx.doi.org/10.21275/mr231125163753.

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5

Lacefield, Soni, and Nicholas Ingolia. "Signal Transduction: External Signals Influence Spore-Number Control." Current Biology 16, no. 4 (2006): R125—R127. http://dx.doi.org/10.1016/j.cub.2006.02.005.

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6

Mulung, Bibi Rawiyah, and Andino Maseleno. "Proposed SMART Traffic Control Signal in Brunei Darussalam." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 2 (2015): 277. http://dx.doi.org/10.11591/tijee.v15i2.1540.

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This paper presents proposed SMART (Systematic Monitoring of Arterial Road Traffic Signals) traffic control signal in Brunei Darussalam. Traffic congestion due to stops and delays at traffic light signals has much been complained about in Brunei Darussalam as well as across the world during the recent years. There are primarily two types of traffic signal controls in Brunei Darussalam. The most common one is the fixed or pre-timed signal operation traffic light and the other one is the actuated signal operation traffic light. Although the actuated signal control is more efficient than the fixe

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7

Pan, Fuquan, Lixia Zhang, Changxi Ma, et al. "Impact of Vehicular Countdown Signals on Driving Psychologies and Behaviors: Taking China as an Example." Journal of Advanced Transportation 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/5838520.

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Countdown signal control is a relatively new control mode that can inform a driver in advance about the remaining time to pass through intersections or the time needed to wait for other drivers and pedestrians. At present, few countries apply vehicular countdown signals. However, in China, some cities have applied vehicular countdown signals for years, though it is unclear how and how much such signals influence driving psychologies and behaviors compared with non-countdown signal controls. The present work aims to clarify the impact of vehicular countdown signals on driving psychologies and b

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Zhao, Lin. "Numerical Control Lathe Cutting Force Signal On-Line Monitoring Design." Applied Mechanics and Materials 711 (December 2014): 329–32. http://dx.doi.org/10.4028/www.scientific.net/amm.711.329.

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The main research direction of Numerical control lathe cutting force signal on-line monitoring is to process real-time monitoring, using the sensor, charge amplifier, video acquisition card and computer to collect data and signal. Signal acquisition makes use of the piezoelectric sensor signals and send them to the computer in order to acquire the real-time data and display the dynamic signal so that monitor the process. Signal processing is the course that data will be collected for subsequent processing and analyzing. It includes display, filtering, correlation analysis, spectral analysis, e

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9

Polushin, P. A., O. R. Nikitin, and I. R. Dubov. "Quasioptimal control in diversed signal transmission." IOP Conference Series: Materials Science and Engineering 1227, no. 1 (2022): 012003. http://dx.doi.org/10.1088/1757-899x/1227/1/012003.

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Abstract To increase the noise immunity of signal transmission, diversity methods are now widely used, consisting in obtaining and combining several copies of the transmitted signal. In this case, it is possible to perform a combination either before the detection procedure or after it. If you do not take into account the possible use of non-linear types of modulation, then the pre-detector combination always has advantages over the post-detector combination. However, taking into account the nonlinear properties of the transmitted signals, new possibilities appear for increasing the noise immu

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R, Prof Lakshmi. "Literature Survey on Smart Ambulance Traffic Control System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31380.

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This study introduces a Smart Traffic Signal Control System designed to streamline ambulance transit through congested urban areas. Integrating RFID, GPS, and LTE technologies, this system establishes a direct link between ambulances and traffic signals, enabling prioritized passage for emergency vehicles. GPS tracking triggers real- time signal adjustments as ambulances approach intersections, granting immediate green signals through cloud-based communication. RFID confirms passage, while predictive algorithms optimize upcoming signal timings based on ambulance speed and estimated arrival, ef

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11

Huang, Kun, Wei Cai Peng, Zhi Xiong Huang, Min Xian Shi, and Guang Bing Wan. "Research of the Piezoelectric Composite Active Control." Advanced Materials Research 1030-1032 (September 2014): 1513–16. http://dx.doi.org/10.4028/www.scientific.net/amr.1030-1032.1513.

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Instantaneous signal and alternating signals are as driven signals, using PID control, change control coefficient P's size, The stopping time of impact force under instantaneous signal with the piezoelectric ceramic content increases, the stopping time is reduced; after applying active control, the stopping is shorter than that is not applied. After applying the alternating signal to force the cantilever beam, the driving effect of the ceramic sheet is located in a cantilever position A, B, C, the effect of C under controlling is at best. The effect of two driven ceramic sheets is better than

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12

Prof. C.Y. Patil, Pallavi Mandhare, Dr Jyoti Yadav, Prof Vilas Kharat,. "Control and Coordination of Self-Adaptive Traffic Signal Using Deep Reinforcement Learning." INFORMATION TECHNOLOGY IN INDUSTRY 9, no. 1 (2021): 373–79. http://dx.doi.org/10.17762/itii.v9i1.141.

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The most observable obstacle to sustainable mobility is traffic congestions. These congestions cannot effectively be fixed by traditional control of traffic signals. Safe and smooth movement of traffic is ensured by a self-controlled traffic signal. As such, to coordinate the traffic flow it is necessary to implement dynamic traffic signal subsequences. Primarily, Traffic Signal Controllers (TSC) provides sophisticated control and coordination of vehicles. The control and coordination of traffic signal control systems can be effectively achieved by implementing the Deep Reinforcement Learning

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Schlessinger, J. "SIGNAL TRANSDUCTION: Autoinhibition Control." Science 300, no. 5620 (2003): 750–52. http://dx.doi.org/10.1126/science.1082024.

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Azhar, Al-Mudhaffar, and Berg Svante. "Signal Control of Roundabouts." Procedia - Social and Behavioral Sciences 16 (2011): 729–38. http://dx.doi.org/10.1016/j.sbspro.2011.04.492.

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Bagye, Wire. "Implementasi Jalur Komunikasi Global System Mobile (GSM) Untuk Kontrol Robot Jarak Jauh Berbasis Mikrikontroller Atmel89S52." Jurnal Informatika dan Rekayasa Elektronik 1, no. 1 (2018): 1. http://dx.doi.org/10.36595/jire.v1i1.24.

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Some of the previous research builds controlled robots using devices with limited distance. The remote controlled robot controls the control distance along the rays of the sender's Infrared (IR) ray is not blocked by a 20 meters long Infrared (IR) receiver. The blue tooth controlled robot has a control distance of 40 meters. The controlled Robot Wireless Fidelity controls the maximum range of range specifications of the Access point range used. Maximum coverage ranges for outdoor access points as far as 15 Kilometers. The next research have to do with a longer distance control than previous re

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Ekreem, Nasser B., Samieh A. Abu Saad, Samaher A. Elnajar, and Mostafa B. Abuitbel. "Effects of Sampling on Controlled Signals Using Matlab." International Science and Technology Journal 36, no. 2 (2025): 1–19. https://doi.org/10.62341/nass2016.

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Sampling is the process of converting continuous time signals into discrete numerical values, is fundamental in digital control systems. Accurate sampling is critical to ensure that the discrete signals used in digital controllers strictly represent the original continuous signals without distortion. This paper presents a comparative analysis of analog signals sampled at rates above and below the Nyquist rate, emphasizing the impact on signal integrity in both time and frequency domains. Using MATLAB simulations, the spectrum of sampled signals is examined to demonstrate how undersampling lead

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Chen, Songhang, Chunlin Shang, and Fenghua Zhu. "A Flexible Traffic Signal Coordinated Control Approach and System on Complicated Transportation Control Infrastructure." Sensors 23, no. 13 (2023): 5796. http://dx.doi.org/10.3390/s23135796.

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The transportation control infrastructure serves as the foundation for regional traffic signal control. However, in practice, this infrastructure is often imperfect and complex, characterized by factors such as heterogeneity and uncertainty, which pose significant challenges to existing methods and systems. Therefore, this paper proposes a novel approach to coordinated traffic signal control that emphasizes flexibility. To achieve this flexibility, we combine the flexible model of complex networks with robust fuzzy control methods. This approach enables us to overcome the complexity of the tra

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Табаков, Yu Tabakov, Лавлинский, and V. Lavlinskiy. "TYPOLOGY LF SIGNAL ON ADAPTATION CONTROL SIGNALS FOR INTELLECTUAL SIMULATORS." Modeling of systems and processes 7, no. 4 (2015): 38–41. http://dx.doi.org/10.12737/7906.

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The article considers the variety and amplitude-frequency characteristics of low-frequency signals. Considered experimental removal of the low-frequency signals from the cerebral cortex of a few healthy people to identify the control signals.

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Gao, Hongliang, Xiaoling Li, Chao Gao, and Jie Wu. "Neural Network Supervision Control Strategy for Inverted Pendulum Tracking Control." Discrete Dynamics in Nature and Society 2021 (March 23, 2021): 1–14. http://dx.doi.org/10.1155/2021/5536573.

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This paper presents several control methods and realizes the stable tracking for the inverted pendulum system. Based on the advantages of RBF and traditional PID, a novel PID controller based on the RBF neural network supervision control method (PID-RBF) is proposed. This method realizes the adaptive adjustment of the stable tracking signal of the system. Furthermore, an improved PID controller based on RBF neural network supervision control strategy (IPID-RBF) is presented. This control strategy adopts the supervision control method of feed-forward and feedback. The response speed of the syst

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Jia, Libin, Jeffrey D. Naber, and Jason R. Blough. "Review of Sensing Methodologies for Estimation of Combustion Metrics." Journal of Combustion 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/8593523.

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For reduction of engine-out emissions and improvement of fuel economy, closed-loop control of the combustion process has been explored and documented by many researchers. In the closed-loop control, the engine control parameters are optimized according to the estimated instantaneous combustion metrics provided by the combustion sensing process. Combustion sensing process is primarily composed of two aspects: combustion response signal acquisition and response signal processing. As a number of different signals have been employed as the response signal and the signal processing techniques can b

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Yamamoto, Yutaka, Kaoru Yamamoto, Masaaki Nagahara, and Pramod P. Khargonekar. "Signal processing via sampled-data control theory." Impact 2020, no. 2 (2020): 6–8. http://dx.doi.org/10.21820/23987073.2020.2.6.

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Digital sounds and images are used everywhere today, and they are all generated originally by analogue signals. On the other hand, in digital signal processing, the storage or transmission of digital data, such as music, videos or image files, necessitates converting such analogue signals into digital signals via sampling. When these data are sampled, the values from the discrete, sampled points are kept while the information between the sampled points is lost. Various techniques have been developed over the years to recover this lost data, but the results remain incomplete. Professor Yutaka Y

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22

Qu, Feng Zhen, and Bao Cheng Lu. "Comparative Study of the Auto Electronic Control System." Applied Mechanics and Materials 539 (July 2014): 587–91. http://dx.doi.org/10.4028/www.scientific.net/amm.539.587.

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Based on mathematical principle of function interpolation we design dominant and recessive auto electronic control system. In order to compare the performance of the two systems, we design a control experiment of automobile electronic signals for these two systems. The system adopts the CAN bus control, the wheel speed and door signal use the 0001-0100 signal channel to control, oil pressure and fault signal use the 0100-1111 signal channel to control. From the testing results of two systems, the dominant auto electronic control system occupies 8 channels, which is far from the theoretical val

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Genders, Wade, and Saiedeh Razavi. "Evaluating Reinforcement Learning State Representations for Adaptive Traffic Signal Control." International Journal of Traffic and Transportation Management 1, no. 1 (2019): 19–26. http://dx.doi.org/10.5383/jttm.01.01.003.

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Iwaki, Satoshi. "Acoustic signal transmission with insertion signal for machine control." Journal of the Acoustical Society of America 119, no. 6 (2006): 3524. http://dx.doi.org/10.1121/1.2212609.

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Lin, Hsiung-Cheng, and Zong-You Chen. "Digitizing Low-Frequency Analog Control Circuit Using Bilinear Function Algorithm." Electronics 14, no. 2 (2025): 273. https://doi.org/10.3390/electronics14020273.

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In the past, low-frequency analog control circuits were largely used in analog control systems. With the rapid development of modern digital electronic technology, the digitization of traditional low-frequency analog control circuits while retaining the same functions as the original analog control systems has become an important trend in the field of electronic design. For this reason, this study aimed to develop an analog signal digitization model for control signals at a low frequency below 10 Hz. In terms of signal receiving and transmission requirements, the proposed model is configured w

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Ramos Fuentes, Germán Andrés, Josep Olm Miras, and Ramón Costa Castelló. "A survey of repetitive control in varying frequency conditions." Ingeniería e Investigación 31, no. 2 (2011): 29–37. http://dx.doi.org/10.15446/ing.investig.v31n2.23462.

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Digital repetitive control is a strategy that allows tracking/ rejecting periodic signals. Repetitive controllers are designed assuming that the exogenous signal period is constant and known, its main drawback being the dramatic loss of performance when signal frequency varies. This paper reviews the most relevant proposals advanced for overcoming this problem.

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WANG, XINGYUAN, and MINGJUN WANG. "TRACKING CONTROL FOR A CLASS OF CHAOTIC SYSTEMS." International Journal of Modern Physics B 22, no. 12 (2008): 1977–84. http://dx.doi.org/10.1142/s0217979208039186.

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This paper presents a tracking control strategy for a class of chaotic systems. A general tracking controller is designed. It is proved theoretically that the error signal can exponentially converge to zero. Numerical simulations show that the controller can make the output signal track all kinds of reference signals. Besides, a better effect can be obtained via changing the control parameters properly.

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Zhu, Yu Tian, Hao Wu, and Zhao Liu. "Development of Online Oil Control Valve Detection System." Applied Mechanics and Materials 380-384 (August 2013): 833–36. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.833.

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An online detecting system is developed to check the function of oil control valve. This system consists of hydraulic detecting platform, signal collecting, signal processing and upper computer. It uses a domestic controller as the main control unit and the control program is developed. The signal conditioning board and the software of upper computer within LabVIEW environment are developed. By using this system, the signals of all sensors can be collected, conditioned, displayed and recorded quickly. The application shows that this system has been proved with the characteristics of high speed

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Nashikkar, Siddharth, Aryaa Hanamar, Nuren Pathan, and Heena Mulla. "Traffic Signal Synchronization and Dynamic Control." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 1000–1001. http://dx.doi.org/10.22214/ijraset.2023.56156.

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Abstract: During the past decade, there has been a significant increase in popu- lation combined with ever-increasing automobile sales, resulting in increased traffic around the world. Although modern city infrastructure is designed to han-dle this increasing traffic, it is very difficult to deal with traffic in unplanned partsof cities or cities that were developed hundreds of years ago where congestion was not taken into account. During our analysis, we found that it is not possible to synchronize all the signals in such parts of cities as the distance between each traffic signal is differen

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Gartner, Nathan H., and Mohammed Al-Malik. "Combined Model for Signal Control and Route Choice in Urban Traffic Networks." Transportation Research Record: Journal of the Transportation Research Board 1554, no. 1 (1996): 27–35. http://dx.doi.org/10.1177/0361198196155400104.

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Traffic signals have a significant effect on the choice of routes by motorists in urban areas. They are of primary importance in the development of advanced traffic management strategies that involve dynamic rerouting of traffic flows through signal-controlled street networks. A combined network model that simultaneously accounts for both the route choices made by motorists and the desired signal controls to match these choices is presented. Given origin-destination travel demand information, the model generates signal controls to optimize network performance and calculates the resulting traff

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Zhang, Nannan. "Intelligent Control Optimization of Remote Transmission Quality of Communication Signals Based on 5G Network." Journal of Physics: Conference Series 2066, no. 1 (2021): 012031. http://dx.doi.org/10.1088/1742-6596/2066/1/012031.

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Abstract With the rapid development of the information age, mobile communication networks have gradually entered people’s lives. The emergence of 5G networks has accelerated the convenience of people’s communication and contact, and has become an advanced information technology that has been widely used in various fields. Although the emergence of 5G networks is beneficial, the remote transmission quality of communication signals has also caused many problems. The optimization of remote transmission quality can effectively improve the operational stability of the communication network. There a

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Oh, H. E., W. B. Jeong, and C. Hong. "Implementation of a single-channel active noise control system with multiple reference sensors." Noise Control Engineering Journal 68, no. 5 (2020): 358–66. http://dx.doi.org/10.3397/1/376830.

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When multiple sources contribute competitively to the noise level, multi-channel control architecture is needed, leading to more cost and time for control computation. We, hence, are concerned with a single-channel control method with a single-reference signal obtained from a linear combination of the multiple source signals. First, we selected 3 source signal sensors for the reference signals and the error sensor, selected a proper actuator and designed the controllers: 3 cases of single-channel feedforward controllers with a single-reference signal respectively from the source signals, a mul

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Sheng, Zhoubin, Chunbiao Li, Yikai Gao, Zhinan Li, and Lin Chai. "A Switchable Chaotic Oscillator with Multiscale Amplitude/Frequency Control." Mathematics 11, no. 3 (2023): 618. http://dx.doi.org/10.3390/math11030618.

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For the wide frequency spectrum of chaotic signals, it is difficult to realize chaotic signal conditioning. Therefore, researchers turn to the exploration of chaotic systems with independent non-bifurcation control for easy chaos modification. In this paper, a system with only one non-quadratic term is modified for providing multiscale amplitude/frequency control. By adjusting the feedback with an odd higher degree term, a switchable chaotic oscillator is obtained, which provides the different scales of amplitude/frequency control with the chaotic signal. Multisim-based circuit simulation show

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Permana, Roni, W. S. Mada Sanjaya, and Hasniah Aliah. "Implementation of Adaptive Neural Fuzzy Inference Systems (Anfis) For Speech Recognition Applications In Smart Home Control." TIME in Physics 2, no. 2 (2024): 77–84. https://doi.org/10.11594/timeinphys.2024.v2i2p77-84.

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Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information. Digital Signal Processing is signal processing that is related to the presentation, transformation, and manipulation of signal content and information in digital form. The speech control system is very efficient. Speech signals are signals that change over time at a relatively slow speed. If observed at short intervals (between 5 and 100 miles per second), the practical characteristics are constant, but if observed at longer intervals, the characterist

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Jankowska, Kamila, and Mateusz Dybkowski. "A Current Sensor Fault Tolerant Control Strategy for PMSM Drive Systems Based on Cri Markers." Energies 14, no. 12 (2021): 3443. http://dx.doi.org/10.3390/en14123443.

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The paper describes a vector-controlled fault tolerant control (FTC) structure for permanent magnet synchronous motor (PMSM) drives. As a control algorithm, the classical field oriented control was applied. For the proper operation of this drive, minimum two current sensors are necessary, however, in the FTC drives additional redundant transducers are applied. Each measuring sensor, including current sensors, are susceptible to damage and can lead to unstable operation of the drive. The presented control structure, with a diagnostic and compensation system, is robust to the typical current sen

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He, Ya Jun, Yang Wang, Fei Yu Song, Bin Hong, and Xiao Long Li. "The Development and Application of the Basic Functions of the EMS of Four-Cylinder Gasoline Engine." Advanced Materials Research 605-607 (December 2012): 2083–86. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2083.

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Introduced the MCU STM8S105C4’s basic framework,main function modules and corresponding technical parameters.Based on this MCU, With the crankshaft signal and camshaft signal, the throttle valve position signal, intake manifold pressure signal, and other signals for the treatment plan,the injection control and ignition control,we developed a corresponding control program flow charts and software implementation,to make sure the control of the four-cylinder gasoline engine’s operation correct. Simulation results show that,the design of the control system reach the expected goals,that makes the g

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Bang, Yung-Jue. "Control of Signal Transduction Pathway." Journal of the Korean Medical Association 41, no. 8 (1998): 824. http://dx.doi.org/10.5124/jkma.1998.41.8.824.

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Inui, Masafumi, Graziano Martello, and Stefano Piccolo. "MicroRNA control of signal transduction." Nature Reviews Molecular Cell Biology 11, no. 4 (2010): 252–63. http://dx.doi.org/10.1038/nrm2868.

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Hodgson, W. S. "Motorway Signal and Control Systems." Measurement and Control 26, no. 1 (1993): 6–9. http://dx.doi.org/10.1177/002029409302600102.

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Hartong, Mark W., and Olga K. Cataldi. "Microprocessor Signal and Train Control." Transportation Research Record: Journal of the Transportation Research Board 1943, no. 1 (2006): 25–30. http://dx.doi.org/10.1177/0361198106194300104.

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Guglielmi, Michel. "signal synthesis with precision control." Signal Processing 86, no. 10 (2006): 2548–53. http://dx.doi.org/10.1016/j.sigpro.2006.02.012.

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Niittymäki, Jarkko, and Matti Pursula. "Signal control using fuzzy logic." Fuzzy Sets and Systems 116, no. 1 (2000): 11–22. http://dx.doi.org/10.1016/s0165-0114(99)00034-2.

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Mei, Fei, Zhihong Man, and Xinghuo Yu. "Sliding mode control signal analysis." IFAC Proceedings Volumes 32, no. 2 (1999): 4118–22. http://dx.doi.org/10.1016/s1474-6670(17)56702-6.

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Karin, Michael. "Signal transduction and gene control." Current Opinion in Cell Biology 3, no. 3 (1991): 467–73. http://dx.doi.org/10.1016/0955-0674(91)90075-a.

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Ottersten, Björn, Torsten Söderström, and Bo Wahlberg. "Statistical signal processing and control." Automatica 30, no. 1 (1994): 9. http://dx.doi.org/10.1016/0005-1098(94)90224-0.

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Fanuc Ltd. "Video signal phase control circuit." Displays 15, no. 3 (1994): 194. http://dx.doi.org/10.1016/0141-9382(94)90015-9.

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Hägglund, Tore. "Signal Filtering in PID Control." IFAC Proceedings Volumes 45, no. 3 (2012): 1–10. http://dx.doi.org/10.3182/20120328-3-it-3014.00002.

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48

Wang, Yue Xin, and Bo Zhang. "Automobile Controller Development Based on dSPACE." Advanced Materials Research 542-543 (June 2012): 919–23. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.919.

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Abstract (sommario):

Automobile central lock and ABS hardware in loop simulation testing system was developed based on MATLAB/Simulink and dSPACE, dSPACE’s standard component MicroAutoBox is the central control node, used to receive speed signal, key position signal skid ratio and remote signal, together with dealing with these signals. Sending relative signals to CAN SJA1000 and CAN PCA82C250 which SCM use STC89C52RC, each node actuates relative motion to control automobile’s door lock and ABS system. ABS executer implements relative brake based of these signals requirements. The result indicates that dSPACE simu

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49

Yu, Sen Bin, Yong Ju Hu, Xin Sheng He, Si Wei Yang, and Xi Wen Chen. "Single-Line Traffic Lights Wireless Signal Control Device." Applied Mechanics and Materials 178-181 (May 2012): 2721–24. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.2721.

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Abstract (sommario):

In the light of tunnel construction, traffic accidents, sudden geological disasters cause of single-line road conditions, designing a single-line road traffic lights wireless signal control device to solve the traffic congestion and the problem of low efficiency of traffic. The device uses wireless transceiver module to sent the signal what was got from the photoelectric sensor to the single-chip microcomputer, single chip microcomputer (SCM) processes switch signals, the last step is to control the traffic light state through the driver circuit. This paper expounds the wireless signal control

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50

Daniel, TO, and HE Ives. "Endothelial Control of Vascular Function." Physiology 4, no. 4 (1989): 139–42. http://dx.doi.org/10.1152/physiologyonline.1989.4.4.139.

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Abstract (sommario):

Endothelial cells are exposed to stimuli within the lumen of blood vessels. Interpreting these signals, endothelial cells regulate production and release of mediators that signal underlying smooth muscle to contract, relax, or proliferate. Specialization of endothelial cells in different vascular beds may determine regional responses.

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