Academic literature on the topic 'UCSD p-System (Computer operating system)'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'UCSD p-System (Computer operating system).'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "UCSD p-System (Computer operating system)"
1
DANG, ZHE, and OSCAR H. IBARRA. "ON ONE-MEMBRANE P SYSTEMS OPERATING IN SEQUENTIAL MODE." International Journal of Foundations of Computer Science 16, no. 05 (October 2005): 867–81. http://dx.doi.org/10.1142/s0129054105003340.
Full textAbstract:
In the standard definition of a P system, a computation step consists of a parallel application of a "maximal" set of nondeterministically chosen rules. Referring to this system as a parallel P system, we consider in this paper a sequential P system, in which each step consists of an application of a single nondeterministically chosen rule. We show the following:1. For 1-membrane purely catalytic systems (pure CS's), the sequential version is strictly weaker than the parallel version in that the former defines (i.e., generates) exactly the semilinear sets, whereas the latter is known to define nonrecursive sets.2. For 1-membrane communicating P systems (CPS's), the sequential version can only define a proper subclass of the semilinear sets, whereas the parallel version is known to define nonrecursive sets.3. Adding a new type of rule of the form: ab → axbyccomedcometo the CPS (a natural generalization of the rule ab → axbyccomein the original model), where x, y ∈ {here, out}, to the sequential 1-membrane CPS makes it equivalent to a vector addition system.4. Sequential 1-membrane symport/antiport systems (SA's) are equivalent to vector addition systems, contrasting the known result that the parallel versions can define nonrecursive sets.5. Sequential 1-membrane SA's whose rules have radius 1, (1,1), (1,2) (i.e., of the form (a, out), (a, in), (a, out; b, in), (a, out; bc, in)) generate exactly the semilinear sets. However, if the rules have radius 1, (1,1), (2,1) (i.e., of the form (ab, out; c, in)), the SA's can only generate a proper subclass of the semilinear sets.
2
Yim, Kendrick, Ahmet Bindayi, Stephen Ryan, Madhumitha Reddy, Ryan Nasseri, Fang Wan, Christopher Long, Zachary Hamilton, and Ithaar Derweesh. "U-SMART: (UCSD-small mass alt renal score tumor diameter) a novel scoring system of preoperative predictors to stratify oncologic risk of small renal mass." Journal of Clinical Oncology 36, no. 6_suppl (February 20, 2018): 700. http://dx.doi.org/10.1200/jco.2018.36.6_suppl.700.
Full textAbstract:
700 Background: Small renal masses (SRMs, < 4 cm in diameter) are heterogeneous, with significant proportions of benign as well as high-grade malignancy. We developed a scoring system incorporating patient factors, serum markers, and morphometric characteristics to elucidate benign and high grade pathology and guide decision making. Methods: Single institution retrospective analysis of surgically treated SRMs from 2003-2017. Demographic and clinical factors, including RENAL score, were analyzed. Patients were categorized into 3 groups: benign (BNGN), low grade (LG), or high grade (HG) disease and uni- and multivariable logistic regression were used to screen for association between potential parameters and the 3 groups. Each significant variable was analyzed by risk group and broken into quartiles. The 75th percentile of the HG group was assigned a value of 3. Below the 75th percentile of the BNGN group was assigned a value of 1; values that fell between these cutoffs were assigned 2 points. Tumor diameter was weighted twice that of other factors. Receiver-operating-characteristic (ROC) analysis was used to assess for predictive capability. Results: 312 patients were analyzed (65 BNGN, 204 LG, 43 HG). Factors associated with increased risk of HG were male sex (OR 1.868, p = 0.045), higher ALT (OR 1.036, p = 0.022), higher RENAL score (OR 1.318, p = 0.002), and larger tumor diameter (OR 2.415, p < 0.001). Patients with low (5-8), intermediate (9-11) and high (12-14) scores had 32.8%, 5.2%, and 0% frequency of BNGN pathology. Patients with low, intermediate, and high scores had 7.7%, 18.6%, and 34.9% frequency of HG pathology. ROC analysis revealed AUC of 0.767. Conclusions: Preoperative clinical parameters were incorporated into a model that significantly predicts benign and aggressive pathology for SRMs. This risk stratification may provide a non-invasive method to aid in clinical decision making. External validation is requisite.[Table: see text]
3
MF Amin, R., R. FA Yasmin, A. N. Azlina, AB Zanariah, and Y. Faridah. "Intelligent home automated system." Indonesian Journal of Electrical Engineering and Computer Science 15, no. 2 (August 1, 2019): 733. http://dx.doi.org/10.11591/ijeecs.v15.i2.pp733-742.
Full textAbstract:
<p>Home automation system is one of the intelligent systems meant to create new opportunities for industry and business, as well as new experiences for users and consumers. This project is about designing, developing and testing a web-based intelligent home automation system called i-Home. The main users will be residents in any residential area i.e. gated community, terrace housing area, condominium and others. Its function is to ease residents in controlling the lights, fans, air conditioning, the house temperature and monitoring their CCTVs through online. For the hardware component Raspberry Pi was used due to its low cost, credit card-sized single-board computer that includes a processor, GPU, RAM and MicroSD as the server. Raspberry Pi primarily uses Linux-kernel-based operating system. It also requires PHP, JavaScript, Python and MySQL. The prototype of the system was built and performed most of the functions of home automation system. Usability and functional testing were carried out and both results showed that all functions worked perfectly.</p>
4
Birajdar, Gajanan K., and Vijay H. Mankar. "Passive method for rescale detection using quadrature mirror filter based higher order statistical features." International Journal of Wavelets, Multiresolution and Information Processing 14, no. 05 (August 24, 2016): 1650033. http://dx.doi.org/10.1142/s0219691316500338.
Full textAbstract:
High resolution digital cameras and state-of-the-art image editing software tools has given rise to large amount of manipulated images leaving no traces of being subjected to any manipulation. Passive or blind forgery detection algorithms are used in order to determine its authenticity. In this paper, an algorithm is proposed that blindly detects global rescaling operation using the statistical models computed based on quadrature mirror filter (QMF) decomposition. Fuzzy entropy measure is employed to choose the relevant features and to remove non-important features whereas artificial neural network classifier is used for forgery detection. Experimental results are presented on grayscale and [Formula: see text]-component images of UCID database to prove the validity of the algorithm under different interpolation schemes. Results are provided for the detection of rescaled images with JPEG compression, arbitrary cropping and white Gaussian noise addition. Further, results are shown using USC-SIPI database to prove the robustness of the algorithm against the type of database.
5
Ortenzi, Fernando, Natascia Andrenacci, Manlio Pasquali, and Carlo Villante. "On the Hybridization of Microcars with Hybrid UltraCapacitors and Li-Ion Batteries Storage Systems." Energies 13, no. 12 (June 22, 2020): 3230. http://dx.doi.org/10.3390/en13123230.
Full textAbstract:
The objective proposed by the EU to drastically reduce vehicular CO2 emission for the years up to 2030 requires an increase of propulsion systems’ efficiency, and accordingly, the improvement their technology. Hybrid electric vehicles could have a chance of achieving this, by recovering energy during braking phases, running in pure electric mode and allowing the internal combustion engine to operate under better efficiency conditions, while maintaining traditionally expected vehicle performances (mileage, weight, available on-board volume, etc.). The energy storage systems for hybrid electric vehicles (HEVs) have different requirements than those designed for Battery Electric Vehicles (BEVs); high specific power is normally the most critical issue. Using Li-ion Batteries (LiBs) in the designing of on-board Energy Storage Systems (ESS) based only on power specifications gives an ESS with an energy capacity which is sufficient for vehicle requirements. The highest specific power LiBs are therefore chosen among those technologically available. All this leads to an ESS design that is strongly stressed over time, because current output is very high and very rapidly varies, during both traction and regeneration phases. The resulting efficiency of the ESS is correspondingly lowered, and LiBs lifetime can be relevantly affected. Such a problem can be overcome by adopting hybrid storage systems, coupling LiBs and UltraCapacitors (UCs); by properly dimensioning and controlling the ESS’ components, in fact, the current output of the batteries can be reduced and smoothed, using UCs during transients. In this paper, a simulation model, calibrated and validated on an engine testbed, has been used to evaluate the performances of a hybrid storage HEV microcar under different operative conditions (driving cycles, environment temperature and ESS State of Charge). Results show that the hybridization of the powertrain may reduce fuel consumption by up to 27%, while LiBs lifetime may be more than doubled.
6
Kumar Sunori, Sandeep, Pradeep Kumar Juneja, and Anamika Bhatia Jain. "Model Predictive Control System Design for Boiler Turbine Process." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 5 (October 1, 2015): 1054. http://dx.doi.org/10.11591/ijece.v5i5.pp1054-1061.
Full textAbstract:
<p>MPC is a computer based technique that requires the process model to anticipate the future outputs of that process. An optimal control action is taken by MPC based on this prediction. The MPC is so popular since its control performance has been reported to be best among other conventional techniques to control the multivariable dynamical plants with various inputs and outputs constraints. In the present work the control of boiler turbine process with three manipulated variables namely fuel flow valve position, steam control valve position and feed water flow valve position and three controlled variables namely drum pressure, output power and drum water level deviation [8] has been attempted using MPC technique. Boiler turbine process is very complex and nonlinear multivariable process. A linearized model obtained using Taylor series expansion around operating point has been used.</p>
7
Antoni, Antoni, and Heru Sukoco. "Penerapan Teknik Penarikan Contoh Kuota untuk Penentuan Paket Aplikasi pada Distro IPB Linux Operating System." Jurnal Ilmu Komputer dan Agri-Informatika 2, no. 2 (November 1, 2013): 55. http://dx.doi.org/10.29244/jika.2.2.55-63.
Full textAbstract:
<p>Penerapan lisensi GNU General Public License (GPL) menyebabkan munculnya berbagai sistem operasi berbasis GNU/Linux. Hal ini dikarenakan banyak perusahaan, masyarakat umum, dan komunitas tertentu yang mengembangkan pemaketan aplikasi (distro) Linux sesuai dengan kebutuhan masing-masing. Distro IPB Linux Operating System (ILOS) 2013 merupakan sistem operasi GNU/Linux yang dikembangkan untuk menunjang kebutuhan perangkat lunak mahasiswa Institut Pertanian Bogor (IPB). ILOS 2013 dibangun menggunakan metode remastering menggunakan distro Ubuntu 12.04.2 LTS sebagai distribusi induk. Mahasiswa IPB memiliki karakteristik yang heterogen dan terdiri atas beberapa kompetensi keilmuan yang berbeda. Oleh karena itu, dalam penelitian ini dilakukan survei dengan metode penarikan contoh kuota. Survei yang dilakukan melibatkan 100 mahasiswa dari semua jurusan di IPB untuk menentukan kebutuhan perangkat lunak bagi mahasiswa IPB. Berdasarkan hasil pengolahan data survei, paket distro ILOS meliputi 38 aplikasi yang terdiri atas 5 aplikasi untuk kebutuhan sains, 7 aplikasi perkantoran, 5 aplikasi pemrograman, 3 aplikasi manajemen basisdata, 2 aplikasi jaringan, 1 aplikasi sistem informasi geografis (SIG), 5 aplikasi computer aided design (CAD) dan desain grafis, 6 aplikasi internet, 3 aplikasi multimedia dan 1 aplikasi utilitas telah dipaketkan pada distro ILOS 2013 untuk memenuhi kebutuhan mahasiswa IPB. Seluruh aplikasi dipaketkan dalam bentuk DVD Installer ILOS 2013.</p><p>Kata kunci: GNU/Linux, ILOS, penarikan contoh kuota, remastering, Ubuntu.</p>
8
Malhotra, Ruchika, and Juhi Jain. "Predicting Software Defects for Object-Oriented Software Using Search-based Techniques." International Journal of Software Engineering and Knowledge Engineering 31, no. 02 (February 2021): 193–215. http://dx.doi.org/10.1142/s0218194021500054.
Full textAbstract:
Development without any defect is unsubstantial. Timely detection of software defects favors the proper resource utilization saving time, effort and money. With the increasing size and complexity of software, demand for accurate and efficient prediction models is increasing. Recently, search-based techniques (SBTs) have fascinated many researchers for Software Defect Prediction (SDP). The goal of this study is to conduct an empirical evaluation to assess the applicability of SBTs for predicting software defects in object-oriented (OO) softwares. In this study, 16 SBTs are exploited to build defect prediction models for 13 OO software projects. Stable performance measures — GMean, Balance and Receiver Operating Characteristic-Area Under Curve (ROC-AUC) are employed to probe into the predictive capability of developed models, taking into consideration the imbalanced nature of software datasets. Proper measures are taken to handle the stochastic behavior of SBTs. The significance of results is statistically validated using the Friedman test complied with Wilcoxon post hoc analysis. The results confirm that software defects can be detected in the early phases of software development with help of SBTs. This paper identifies the effective subset of SBTs that will aid software practitioners to timely detect the probable software defects, therefore, saving resources and bringing up good quality softwares. Eight SBTs — sUpervised Classification System (UCS), Bioinformatics-oriented hierarchical evolutionary learning (BIOHEL), CHC, Genetic Algorithm-based Classifier System with Adaptive Discretization Intervals (GA_ADI), Genetic Algorithm-based Classifier System with Intervalar Rule (GA_INT), Memetic Pittsburgh Learning Classifier System (MPLCS), Population-Based Incremental Learning (PBIL) and Steady-State Genetic Algorithm for Instance Selection (SGA) are found to be statistically good defect predictors.
9
Dolara, Alberto, Sonia Leva, Giacomo Moretti, Marco Mussetta, and Yales Romulo de Novaes. "Design of a Resonant Converter for a Regenerative Braking System Based on Ultracap Storage for Application in a Formula SAE Single-Seater Electric Racing Car." Electronics 10, no. 2 (January 13, 2021): 161. http://dx.doi.org/10.3390/electronics10020161.
Full textAbstract:
Electric mobility can represent a game changing technology for the long-term sustainability of the transportation sector. Pursuing this target, a model to simulate an Electric Vehicle (EV) for Formula SAE Electric competition is herein proposed: all the subsystems of the EV and the hybrid storage of the Li-ion batteries and Ultra-Capacitors (UCs) are implemented, in order to store the kinetic energy of the regenerative braking in the storage system through the Kinetic Energy Recovery System (KERS). A bidirectional DC-DC resonant converter is herein applied to the KERS to manage the UC pack. The operational limits of the proposed system, keeping the soft-switching properties, are discussed, and the results show the capability of the converter to operate under resonant mode in both boost and buck mode. A drawback is the presence of high current peaks in the resonant inductor. The use of more than one converter in interleaving and the adoption of a suitable capability factor ensure the proper operation of the system.
10
Dutta, Ayan, Prithviraj Dasgupta, José Baca, and Carl Nelson. "searchUCSG: a fast coalition structure search algorithm for modular robot reconfiguration under uncertainty." Robotica 32, no. 2 (February 13, 2014): 225–44. http://dx.doi.org/10.1017/s0263574714000095.
Full textAbstract:
SUMMARYWe consider the problem of dynamic reconfiguration by modular self-reconfigurable robots (MSRs) in the presence of uncertainty in their motion and the environment. Specifically, we consider the situation where the MSR is unable to continue its motion in its current configuration and needs to identify a new configuration among the existing modules, which would be the most configuration suitable for performing the robot's assigned task under the current circumstances. To address this problem, we propose a new data structure called an uncertain coalition structure graph (UCSG) that accommodates uncertainty in the MSR's motion and the environment, using a framework from cooperative game theory called the coalition structure graph. We then propose a new search algorithm calledsearchUCSGthat intelligently prunes nodes from the UCSG using a modified branch-and-bound technique. We have shown analytically that our algorithm is anytime, that is, if it terminates arbitrarily, it returns the best solution found thus far, which is guaranteed to be within a constant bound from the optimal solution. We have verified the performance of our algorithm experimentally in simulation and shown that it is able to find a solution that is within the worst bound of 80% of the optimal solution while exploring only half of the nodes in the UCSG. Our algorithm also takes lesser computation time than the existing algorithms (that do not model uncertainty) for solving similar problems. Finally, to verify the operation of our algorithm, we have implemented it to partition a set of mobile e-puck robots into clusters and shown how different number of robots and different robot motion uncertainty parameters affect the formed clusters.
Dissertations / Theses on the topic "UCSD p-System (Computer operating system)"
1
Ratto, Matt. "The pressure of openness : the hybrid work of linux free/open source kernel developers /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3089478.
Full text
2
Grobler, Johannes Petrus. "Design and implementation of a high resolution soft real-time timer." Diss., Pretoria : [s.n.], 2006. http://upetd.up.ac.za/thesis/available/etd-08282007-095022.
Full textBooks on the topic "UCSD p-System (Computer operating system)"
2
Stan, Stringfellow, ed. Personal computing with the UCSD p-system. 2nd ed. Englewood Cliffs: Prentice-Hall, 1986.
Find full text
3
Overgaard, Mark. Personal computing with the UCSD p-System. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1986.
Find full text
4
Hunter, Robin. Computer Handbook: Ucsd P-System (Computer Operating Handbook). Hyperion Books, 1986.
Find full text
5
SAS Institute. SAS Technical Report: P-177 System Administrator's Guide to the SAS System, Release 6.03, Under UNIX Operating Systems & Derivatives (SAS Technical Report). SAS Institute, Incorporated, 1988.
Find full text
6
SAS Institute. SAS Technical Report: P-163 VSE-Power Accounting for Release 5.16 of the SAS System (SAS Technical Report). SAS Institute, Incorporated, 1988.
Find full textBook chapters on the topic "UCSD p-System (Computer operating system)"
1
Oury, Jacob D., and Frank E. Ritter. "How User-Centered Design Supports Situation Awareness for Complex Interfaces." In Human–Computer Interaction Series, 21–35. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-47775-2_2.
Full textAbstract:
AbstractThis chapter moves the discussion of how to design an operation center down a level towards implementation. We present user-centered design (UCD) as a distinct design philosophy to replace user experience (UX) when designing systems like the Water Detection System (WDS). Just like any other component (e.g., electrical system, communications networks), the operator has safe operating conditions, expected error rates, and predictable performance, albeit with a more variable range for the associated metrics. However, analyzing the operator’s capabilities, like any other component in a large system, helps developers create reliable, effective systems that mitigate risks of system failure due to human error in integrated human–machine systems (e.g., air traffic control). With UCD as a design philosophy, we argue that situation awareness (SA) is an effective framework for developing successful UCD systems. SA is an established framework that describes operator performance via their ability to create and maintain a mental model of the information necessary to achieve their task. SA describes performance as a function of the operator’s ability to perceive useful information, comprehend its significance, and predict future system states. Alongside detailed explanations of UCD and SA, this chapter presents further guidance and examples demonstrating how to implement these concepts in real systems.
2
Kim, Chesoong, Alexander Dudin, Sergey Dudin, and Olga Dudina. "Multi-server Queueing System $$MAP/M/N^{(r)}/\infty $$ M A P / M / N ( r ) / ∞ Operating in Random Environment." In Computer Networks, 306–15. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19419-6_29.
Full text
3
Pournelle, Jerry. "Buying a Computer." In 1001 Computer Words You Need to Know. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195167757.003.0011.
Full textAbstract:
Aprevious essay (see “Which Operating System Is Right for You,” p. 16), pointed out that your choice of hardware depends largely on your choice of operating system. So let’s assume that you’ve made up your mind and decided whether you want a Mac or a PC. The next question is whether you want a desktop or a laptop. Ask yourself a couple of relevant questions. Do you work in one place or you are a “road warrier”? Is space a consideration? Will this be your only computer? And how much can you afford? Feature for feature, desktops are cheaper than laptops. Normally, they are also more expandable. You can add more RAM, a better video card, an additional hard drive, a DVD or CD burner, or any of a number of other devices—provided that there are empty slots on the motherboard for additional expansion boards and empty drive bays in the case. You might eventually be able to add a more powerful processor, thus prolonging the useful life of your computer. Desktop cases are relatively easy to open, making it possible for intrepid users to install these items themselves. So check for expandability before you buy. You’ll need a monitor, of course. You’ll pay a bit less for one that comes with your desktop computer, but the dread sign in computer ads saying, “Monitor sold separately,” may not be such a bad thing. You may want something better than your computer vendor is offering. Having a large, steady, clear monitor can make a real difference in the quality of your computing experience. Broadly, there are two kinds to choose from now, and both flat-panel monitors and CRTs have distinct advantages. Sales of flat-panel monitors are fast catching up with those of CRTs, but—as always—your choice will depend on how you plan to use your computer, how much space you have, and the extent to which you are seduced by beauty and coolness. Flat-panel monitors, with their clean, slender profiles, are indeed appealing. (To find out why, see “The Ten Best Tools and Peripherals You Didn’t Know About,” p. 196.) New flat panels (and, by the way, laptop screens) come with TFT displays (that is, active-matrix, not the older, fuzzier passive-matrix displays), and their glare-free screens are easy on the eyes.
Conference papers on the topic "UCSD p-System (Computer operating system)"
1
Edwards, Don R. "Computer Piping Analysis, ASME B31.3 Appendix S: Example S3 — Moment Reversal." In ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/pvp2007-26756.
Full textAbstract:
The American Standards Association (ASA) B31.3-1959 Petroleum Refinery Piping Code [1] grew out of an ASA document that addressed all manner of fluid conveying piping systems. ASA B31.3 was created long before widespread engineering use of computer “mainframes” or even before the inception of piping stress analysis software. From its inception until recent times, the B31.3 Process Piping Code [2] (hereafter referred to as the “Code”) has remained ambiguous in several areas. This paper describes some of these subtle concepts that are included in the Code 2006 Edition for Appendix S Example S3. This paper discusses: • the effect of moment reversal in determining the largest Displacement Stress Range, • the impact of the average axial stress caused by displacement strains on the Example S3 piping system and the augmenting of the Code Eq. (17) thereto, • a brief comparison of Example S3 results to that of the operating stress range evaluated in accordance with the 2006 Code Appendix P Alternative Requirements.
2
Price, Donald C., and B. Elliott Short. "Thermal Design of an Airborne, Military Computer Chassis With Air-Cooled, Cast Pin Fin Coldwalls." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42209.
Full textAbstract:
This paper documents the thermal design process required to provide effective thermal management for an airborne, military computer, consisting of 24 modules (two P/S modules and 22 PWB modules), which are edge-cooled to two cast, pin fin coldwalls. The computer chassis is mounted in an electronics pod mounted underneath the centerline of a fighter aircraft. The pod consists of several electronics bays and a self-contained, air-cycle, environmental control system (ECS). The computer chassis is mounted in the forward bay, and the ECS is mounted in the rear bay of the electronics pod. The ECS is an air-cycle refrigeration system, which operates on captured ram air directed by an inlet/diffuser to an expansion turbine. This turbine produces low-pressure, chilled-air, which is then directed through an air-to-liquid, load heat exchanger to produce chilled-liquid. The chilled liquid is piped through small liquid lines to the forward bay of the pod, where the air-cooled, computer chassis is located. The chilled liquid is converted back to chilled-air in an air-to-liquid heat exchanger. The chilled-air is supplied to the forward bay volume and is drawn through the computer chassis coldwalls by a fan integral to the computer chassis. The temperature of the chilled-air, produced in this manner, becomes a strong function of the altitude and Mach number of the fighter aircraft, because of the effect of these two parameters on the ram air mass flow rate and temperature at the inlet to the expansion turbine. The mass flow of the air used to cool the chassis is also a variable, because the density of the air is a function of the flight altitude and the fan has altitude-dependent, operating characteristics. This fan provides the flow of air through the chassis. Emphasis is placed in the design process on the effect of the operating characteristics of the fan at altitude and the determination of the system performance curve associated with the pin fin coldwalls. This performance curve is controlled by the pressure drop characteristics of the pin fin coldwalls, which are a function of the Fanning f-factor and Colburn j-factor characteristics of the cast pin fin design. Design examples are used to demonstrate the design process.
3
Sungra, Anshul, and Brian Fabien. "Evaluation of Control Algorithms on Mobile Robots for Collision Avoidance." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23500.
Full textAbstract:
Abstract This paper describes the implementation of various algorithms to control the distance between a lead vehicle and a following (ego) vehicle. The ego robot equipped with a monocular camera and a rotating laser sensor (LDS). The monocular camera used for object detection using the Aggregate Channel Features (ACF) detection algorithm. The width of the bounding box generated by the detection algorithm had used to determine the distance between the lead and the following vehicles. Since this research focused on longitudinal autonomy, the data from the rotating laser sensor downsampled from 360 points to 30 points. These sampled points covered the front view of the vehicle. All data points transformed into a planar world coordinate (two-dimensional plane). The outputs of the camera and laser sensor (LDS) were fused to obtain accurate distance measurements for the lead vehicle. Sensor calibration had achieved by comparing sensor data with the ground truth values. Kalman Filter was used to implementing sensor fusion by combining perception data from the monocular camera and LDS for accurate position and velocity estimation. This calibration provided information about the sensor noise and deviation of sensor data from its ground truth values. These values helped to determine the error covariance matrixes of the Kalman filter. For implementation, the Robot Operating System (ROS)-MATLAB platform used to communicate between robot and host Personal Computer (PC). The experiments evaluated the performance of Proportional Control (P), Proportional-Integral Control (PI), and Model Predictive Control (MPC) in maintaining a minimum distance between the vehicles. For the MPC implementation in MATLAB, Model Predictive Control Quadratic Programming (MPCQP) solver was used to get the optimal solution for control output. The results show that the MPC yields faster response times when compared to P control and PI control. These algorithms evaluated during constant velocity and constant acceleration of the lead vehicle. The steady-state errors of P and PI controllers were around 0.1 meters (m) in both scenarios and 0 to 0.2m for constant velocity and 0 to 0.15m for ramp velocity, respectively. And for MPC, steady-state error varied from −0.05m to 0.05m in both the scenarios. This range in steady-state error was due to varying speed of the ego vehicle with time to maintain the minimum relative distance between the robots, and there was a communication delay in the system that also affected the behavior of the controllers. The MPC was more sensitive to communication delays. However, the effect of this communication delay was negligible to P and PI controllers. This sensitivity resulted in different velocity profiles for the ego vehicle in MPC and P or PI controllers.