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Journal articles on the topic 'Design error'

Author: Grafiati

Published: 19 February 2023

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1

De Coninck, Bert, Jan Victor, Patrick De Baets, Stijn Herregodts, and Matthias Verstraete. "Design optimisation for optically tracked pointers." International Journal Sustainable Construction & Design 8, no. 1 (October 30, 2017): 10. http://dx.doi.org/10.21825/scad.v8i1.6805.

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The use of mechanical pointers in optical tracking systems is needed to aid registration processes of unlocated rigid bodies. Error on the target point of a pointer can cause wrong positioning of vital objects and as such these errors have to be avoided. In this paper, the different errors that originate during this process are described, after which this error analysis is used for the optimisation of an improved pointer design. The final design contains six coplanar fiducials, favored by its robustness and low error. This configuration of fiducials is then analysed theoretically as well as practically to understand how it is performing. The error on tracking the target point of the pointer is found with simulation to be around 0.7 times the error of measuring one fiducial in space. However, practically this error is about equal to the fiducial tracking error, due to the non-normally distributed errors on each separate fiducial.

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2

Jenihhin, Maksim, Anton Tsepurov, Valentin Tihhomirov, Jaan Raik, Hanno Hantson, Raimund Ubar, Gunter Bartsch, JorgeHernan Meza Escobar, and Heinz-Dietrich Wuttke. "Automated Design Error Localization in RTL Designs." IEEE Design & Test 31, no. 1 (February 2014): 83–92. http://dx.doi.org/10.1109/mdat.2013.2271420.

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3

Small, Margot. "Design error and reusabilty." ACM SIGCSE Bulletin 39, no. 2 (June 2007): 185–87. http://dx.doi.org/10.1145/1272848.1272906.

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4

Weiskopf, David A. "Human Error—By Design?" Risk Analysis 23, no. 1 (February 2003): 238–39. http://dx.doi.org/10.1111/1539-6924.t01-2-00303.

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5

Khan, Arshad H., Alex Ossadtchi, Richard M. Leahy, and Desmond J. Smith. "Error-correcting microarray design." Genomics 81, no. 2 (February 2003): 157–65. http://dx.doi.org/10.1016/s0888-7543(02)00032-0.

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6

Maurino, DanielE. "Human Error - By Design?" Journal of Contingencies and Crisis Management 12, no. 1 (March 2004): 40–41. http://dx.doi.org/10.1111/j.0966-0879.2004.01201005_2.x.

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7

Tulcan, Aurel, Liliana Tulcan, and Daniel Stan. "CMM Design Based on Fundamental Design Principles." Advanced Materials Research 1036 (October 2014): 517–22. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.517.

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The paper presents an approach concerning the CMM design. The first stage of this research deals with the acquisition and the development of knowledge about the CMM design. The main mechanical design aspects to achieve a high positioning and measuring accuracy are presented and two main objectives are assigned: high repeatability (design for repeatability) and high predictability of the machine response to the main error sources (design for predictability). In the second stage of this research the dynamic errors states for this CMM design have been analyzed. In high-speed measuring processes dynamic errors will have a great influence on the accuracy. This study has been performed by using finite-element analysis (FEA) of the mechanical frame. The total deformation of the mechanical frame for different accelerations of the moving assemblies has been calculated. The major deflections at the probe position due to the accelerations are obtained by using FEA. These results give a prediction about the dynamic error of the CMM.

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8

PARK, SUNG-RYUNG, and SEUNG-HAN YANG. "DESIGN OF A 5-AXIS MACHINE TOOL CONSIDERING GEOMETRIC ERRORS." International Journal of Modern Physics B 24, no. 15n16 (June 30, 2010): 2484–89. http://dx.doi.org/10.1142/s0217979210065131.

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Control over scale, dynamic, environment, and geometric errors in 5-axis machine tool are required to realize a high precision machine tool. Especially geometric errors such as translational, rotational, offset, and squareness errors are important factors which should be considered in the design stages of the machine tool. In this paper, geometric errors are evaluated for different configurations of 5-axis machine tool, namely, 1) table tilting, 2) head tilting, and 3) universal and their error synthesis models are derived. The proposed model is different from the conventional error synthesis model since it considers offset and offset errors. The volumetric error is estimated for every configuration with random geometric errors. Finally, the best configuration, the critical design parameter and error are suggested.

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9

Love, Peter E. D., Robert Lopez, David J. Edwards, and Yang M. Goh. "Error begat error: Design error analysis and prevention in social infrastructure projects." Accident Analysis & Prevention 48 (September 2012): 100–110. http://dx.doi.org/10.1016/j.aap.2011.02.027.

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10

Grout, J. R. "Mistake proofing: changing designs to reduce error." Quality in Health Care 15, suppl 1 (December 2006): i44—i49. http://dx.doi.org/10.1136/qshc.2005.016030.

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Mistake proofing uses changes in the physical design of processes to reduce human error. It can be used to change designs in ways that prevent errors from occurring, to detect errors after they occur but before harm occurs, to allow processes to fail safely, or to alter the work environment to reduce the chance of errors. Effective mistake proofing design changes should initially be effective in reducing harm, be inexpensive, and easily implemented. Over time these design changes should make life easier and speed up the process. Ideally, the design changes should increase patients’ and visitors’ understanding of the process. These designs should themselves be mistake proofed and follow the good design practices of other disciplines.

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11

Chao, Lawrence P., and Kosuke Ishii. "Design Process Error Proofing: Failure Modes and Effects Analysis of the Design Process." Journal of Mechanical Design 129, no. 5 (July 19, 2006): 491–501. http://dx.doi.org/10.1115/1.2712216.

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This paper presents a new application of failure modes and effects analysis (FMEA) on design processes. Our research develops error-proofing methods for the product development process to prevent serious design errors that can compromise project features, time to market, or cost. Design process FMEA is a systematic method which allows product development teams to proactively predict potential problems. The method decomposes the design process into six potential problem areas—knowledge, analysis, communication, execution, change, and organization errors—with a question-based FMEA approach. The paper explains the method, illustrates it through a case study, and discusses its effectiveness. The paper concludes with the proposed work to address design process error-proofing solutions.

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12

Pieterse, Hein, and Helene Gelderblom. "Guidelines for Error Message Design." International Journal of Technology and Human Interaction 14, no. 1 (January 2018): 80–98. http://dx.doi.org/10.4018/ijthi.2018010105.

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The presented study aims to develop a set of guidelines for error message design. A large amount of research is available in the literature on the topic of warning design. The same is not true for error messages. Although some research exists, the design of error messages is not covered to the same extent as warning design. To address this lack of research, a set of guidelines for error message design was developed from the literature regarding error message design, as well as from warning design theory. These guidelines were then evaluated through two usability studies (a heuristic evaluation and individual interviews with users) to determine whether they are valid and effective. The guidelines were refined based on the results of the usability studies. The final set of guidelines can be used to inform the design and development of error messages and facilitate early evaluation of interface prototypes.

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13

Ó Dochartaigh, Niall. "Bloody Sunday: Error or Design?" Contemporary British History 24, no. 1 (March 2010): 89–108. http://dx.doi.org/10.1080/13619460903565531.

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14

Reanney, D. C. "Genetic Error and Genome Design." Cold Spring Harbor Symposia on Quantitative Biology 52 (January 1, 1987): 751–57. http://dx.doi.org/10.1101/sqb.1987.052.01.084.

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15

Nicolaidis, M. "Design for soft error mitigation." IEEE Transactions on Device and Materials Reliability 5, no. 3 (September 2005): 405–18. http://dx.doi.org/10.1109/tdmr.2005.855790.

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16

Reanney, Darryl C. "Genetic error and genome design." Trends in Genetics 2 (January 1986): 41–46. http://dx.doi.org/10.1016/0168-9525(86)90174-5.

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17

Stewart, Mark G., and Robert E. Melchers. "Error control in member design." Structural Safety 6, no. 1 (July 1989): 11–24. http://dx.doi.org/10.1016/0167-4730(89)90004-0.

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18

Dalgish, Gerard M. "Computer-Assisted Error Analysis and Courseware Design." CALICO Journal 9, no. 2 (January 14, 2013): 39–56. http://dx.doi.org/10.1558/cj.v9i2.39-56.

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The paper describes the use of a database in an analysis of writing errors of Swedish university students, discussing and analyzing the major grammatical and vocabulary errors discovered. The paper compares this study with similar work: one, a study of Swedish-speaking teacher trainees' written work; the other, a study of the writing errors of students from a variety of first-language backgrounds. Applications of the results of the error analysis for computer-assisted language learning (CALL) and directions for further research are suggested.

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19

Alogla, Ageel Abdulaziz, and Mansoor Alruqi. "Aircraft Assembly Snags: Human Errors or Lack of Production Design?" Aerospace 8, no. 12 (December 10, 2021): 391. http://dx.doi.org/10.3390/aerospace8120391.

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To err is an intrinsic human trait, which means that human errors, at some point, are inevitable. Business improvement tools and practices neglect to deal with the root causes of human error; hence, they ignore certain design considerations that could possibly prevent or minimise such errors from occurring. Recognising this gap, this paper seeks to conceptualise a model that incorporates cognitive science literature based on a mistake-proofing concept, thereby offering a deeper, more profound level of human error analysis. An exploratory case study involving an aerospace assembly line was conducted to gain insights into the model developed. The findings of the case study revealed four different causes of human errors, as follows: (i) description similarity error, (ii) capture errors, (iii) memory lapse errors, and (iv) interruptions. Based on this analysis, error-proofing measures have been proposed accordingly. This paper lays the foundation for future work on the psychology behind human errors in the aerospace industry and highlights the importance of understanding human errors to avoid quality issues and rework in production settings, where labour input is of paramount importance.

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20

Zaldivar Escola, F. "FOCUS ERROR MEASUREMENT SYSTEM: PRACTICAL DESIGN CONSIDERATIONS." Anales AFA 33, no. 4 (January 15, 2023): 90–98. http://dx.doi.org/10.31527/analesafa.2022.33.4.90.

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A detailed study of the practical design considerations for a focus error measurement system through numerical simulations, based on ABCD ray matrix for Gaussian beams, is presented. The results obtained can be applied in an equivalent way to the cases of reflection or transmission measurement, since these are identical by means of a change of variables. In all cases, the calculations consider the actual shape of the detector used, since these have gaps that separate the quadrants, affecting their efficiency. The distances involved between the optical components are swept in order to study the behavior of the sensitivity, maximizing it depending on the application.

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21

Zha, Jun, Yaolong Chen, and Penghai Zhang. "Precision design of hydrostatic thrust bearing in rotary table and spindle." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 11 (December 26, 2016): 2044–53. http://dx.doi.org/10.1177/0954405416682279.

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According to the increasing needs of rotary table and spindle to satisfy high-precision machining requirements, the accuracy of rotary table and spindle becomes an important issue due to the error averaging effect of hydrostatic thrust bearing. The objective of this study is to research a methodology to guide the precision design of hydrostatic thrust bearing in rotary table and spindle. A run-out error model based on error averaging effect is established using the Reynolds equation, pressure boundary conditions, flux continuity equations of pad and dynamic equations of shaft. The axial run-out error and angular error are calculated considering perpendicularity error and flatness error of the components. The simulation results show that the two perpendicularity errors between axis line and thrust bearing bushing surface have same direction, and the axial run-out error could reach to the maximum values. Also, the flatness error of thrust bearing bushing surface has a big influence on axial run-out error. Following the outcomes, the precision design of hydrostatic thrust bearing was conducted. The axial run-out errors of rotary table and spindle with hydrostatic thrust bearing were experimentally studied, and the results have good coherence to the simulation data. The run-out error model is demonstrated to be an effective approach to guide the precision design of hydrostatic thrust bearing in other rotary tables and spindles.

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22

Ti-Chiun Chang and J. P. Allebach. "Quantization of accumulated diffused errors in error diffusion." IEEE Transactions on Image Processing 14, no. 12 (December 2005): 1960–76. http://dx.doi.org/10.1109/tip.2005.859372.

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23

Hur, Youngmin, and Stephen A. Szygenda. "Design error simulation based on error modeling and sampling techniques." Mathematics and Computers in Simulation 46, no. 1 (April 1998): 35–46. http://dx.doi.org/10.1016/s0378-4754(97)00156-0.

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24

Sarina, Shuyou Zhang, and Jinghua Xu. "Transmission system accuracy optimum allocation for multiaxis machine tools’ scheme design." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 12 (March 25, 2013): 2762–79. http://dx.doi.org/10.1177/0954406213479723.

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Transmission components are the main mechanical elements in a machine system, the accuracy level of the transmission system is one of the major sources of the machining error of multiaxis machine tools. This article investigates motion error analysis, volumetric motion error model for transmission system and the accuracy allocation method for multiaxis machine tools during the early design stage. For this purpose, a transmission system volumetric motion error model, which is based on the motion error matrix and screw theory, is derived for mapping transmission components’ error parameters to the volumetric motion errors of machine tools. The volumetric motion error matrix combines motion errors along the machine tools’ kinematic chains. Subsequently, the volumetric motion error model is expressed as a volumetric motion error twist, which is formulated from the volumetric motion error matrix. Additionally, the transmission system volumetric motion error twist model is used as design criteria for accuracy optimum allocation, with constraints on the twist magnitude and design variable limits. Then, design optimization is performed by using a multiobjective nonlinear optimization technique to minimize the manufacturing cost and volumetric motion error twist pitch. To solve this multiple objective optimum problem, this study proposes an approach integrating Lagrange multiplier and gradient descent operator with non-dominated sorting genetic algorithm-II (NSGA-II). Modified non-dominated sorting genetic algorithm-II searches for an allocation scheme Pareto optimal front. Consequently, VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) determines the best compromise solution from the Pareto set. Finally, a numerical experiment for the optimal design of a numerical control machine tool is conducted, which highlights the advantages of the proposed methodology.

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25

Khalifa, Othman O., Nur Amirah bt Sharif, Rashid A. Saeed, S. Abdel-Khalek, Abdulaziz N. Alharbi, and Ali A. Alkathiri. "Digital System Design for Quantum Error Correction Codes." Contrast Media & Molecular Imaging 2021 (December 15, 2021): 1–8. http://dx.doi.org/10.1155/2021/1101911.

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Quantum computing is a computer development technology that uses quantum mechanics to perform the operations of data and information. It is an advanced technology, yet the quantum channel is used to transmit the quantum information which is sensitive to the environment interaction. Quantum error correction is a hybrid between quantum mechanics and the classical theory of error-correcting codes that are concerned with the fundamental problem of communication, and/or information storage, in the presence of noise. The interruption made by the interaction makes transmission error during the quantum channel qubit. Hence, a quantum error correction code is needed to protect the qubit from errors that can be caused by decoherence and other quantum noise. In this paper, the digital system design of the quantum error correction code is discussed. Three designs used qubit codes, and nine-qubit codes were explained. The systems were designed and configured for encoding and decoding nine-qubit error correction codes. For comparison, a modified circuit is also designed by adding Hadamard gates.

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26

Andrews, David. "Design Errors in Ship Design." Journal of Marine Science and Engineering 9, no. 1 (December 31, 2020): 34. http://dx.doi.org/10.3390/jmse9010034.

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There is a problem in coping with design errors in ship design. Ships are generally very large and often very complex. Yet, we rarely invest in full-scale prototypes so design errors are frequently revealed once ships are at sea and certain errors can be catastrophic, others lead to many ships having shortened useful lives. The paper starts by considering the nature of design errors and failures in large-scale engineering enterprises. This is followed by looking briefly at some lessons from maritime history concerning how design errors arise and can even lead to ships sinking. A specific well-documented case of calculation error in sizing a new ship design is reviewed and lessons drawn. The relevance of general approaches to avoiding engineering errors and ever-greater emphasis on risk mitigation procedures and applying safety regimes alongside ethical guidance is reviewed. The changing nature of ship design practice is discussed, with ship designers between the horns of the dilemma of ever greater ability provided by computer driven precision and the demands for their designs to be seen to perform effectively in an increasingly uncertain and complex world. Final thoughts consider the basis for judging what might be good or bad ship designs, how errors can be addressed, and the ultimate safety role of the naval architect as the overall designer of complex vessels.

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27

Taylor, J. Robert. "Understanding and combating design error in process plant design." Safety Science 45, no. 1-2 (January 2007): 75–105. http://dx.doi.org/10.1016/j.ssci.2006.08.014.

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28

CHEN, YUNG-YUAN. "INCORPORATING FAULT-TOLERANT FEATURES IN VLIW PROCESSORS." International Journal of Reliability, Quality and Safety Engineering 12, no. 05 (October 2005): 397–411. http://dx.doi.org/10.1142/s0218539305001914.

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In recent years, very long instruction word (VLIW) processor has attracted much attention in that it offers a high instruction level parallelism and reduces the hardware design complexity. In this paper, we present two fault-tolerant schemes for VLIW processors. The first one is termed as test-instruction scheme which is based on the concept of instruction duplication to detect the errors. The process of test-instruction scheme consists of the error detection, error rollback recovery and reconfiguration. The second approach is called self-checking scheme which adopts the concept of self-checking logic to detect the errors. A real-time error recovery procedure is developed to conquer the errors. We implement the proposed designs of fault-tolerant VLIW processor in VHDL and employ the fault injection and fault simulation to validate our schemes. The main contribution of this research is to present the complete frameworks from error detection to error recovery for fault-tolerant design of VLIW processors. Experience learned from this investigation is that the issues of error detection and error recovery entail considering together. Without taking both issues into account simultaneously, the outcomes may lead to the improper conclusions.

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29

Li, Ze, Xiaoze Liu, Linlang Guo, Jiarui Sui, and Yubai Xiao. "Design and Research of Automatic Error Correction Algorithm for Electric Energy Metering Device." Journal of Physics: Conference Series 2409, no. 1 (December 1, 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2409/1/012023.

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Abstract Aiming at the problems of long error correction time and poor correction effect of electric energy metering device, an automatic correction algorithm design of electric energy metering error is proposed. First, the stationary characteristics of the electric energy metering device when errors occur are extracted, and the regular interval of error correction is found. Second, in the regular interval, the average power of the quantization error of the metering device is determined, and the location of the error is found. Finally, the stability is corrected according to the error. According to the interval and error position, an automatic error correction model is constructed, which shortens the error correction time, enhances the automatic error correction of the power calculation device, and realizes the accurate correction of the power calculation error. The comparative experimental results show that the error correction time of the algorithm is short, and it has the ability of real-time error correction, which can be applied in real life.

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30

Wang, Yuan, Jiaheng Wang, Derrick Wing Kwan Ng, Robert Schober, and Xiqi Gao. "A Minimum Error Probability NOMA Design." IEEE Transactions on Wireless Communications 20, no. 7 (July 2021): 4221–37. http://dx.doi.org/10.1109/twc.2021.3056597.

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31

Jayanthi. "Design of an Error Tolerant Adder." American Journal of Applied Sciences 9, no. 6 (June 1, 2012): 818–24. http://dx.doi.org/10.3844/ajassp.2012.818.824.

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32

Skelton, R. E. "Model error concepts in control design." International Journal of Control 49, no. 5 (May 1989): 1725–53. http://dx.doi.org/10.1080/00207178908559735.

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33

Smith, Philip J., Elaine McCoy, and Chuck Layton. "Design-Induced Error in Flight Planning." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 16 (October 1993): 1091–95. http://dx.doi.org/10.1177/154193129303701611.

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There are many problem-solving tasks that are too complex to fully automate given the current state of technology. Nevertheless, significant improvements in overall system performance could result from the introduction of well-designed computer aids. A major concern in the introduction of such tools to support problem-solving, though, is the potential to introduce new errors due to the interaction of the person with these computer support tools. We have been studying the development of cognitive tools for one such problem-solving task, enroute flight path planning for commercial airlines. Our goal has been two-fold. First, we have been developing specific system designs to help with this important practical problem. Second, we have been using this context to explore general design concepts to guide in the development of cooperative problem-solving systems. These design concepts are described below, along with a discussion of two empirical studies.

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34

Stewart, Mark G. "Human error in steel beam design." Civil Engineering Systems 7, no. 2 (June 1990): 94–101. http://dx.doi.org/10.1080/02630259008970576.

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35

Melchers, R. E. "Human Error in Structural Design Tasks." Journal of Structural Engineering 115, no. 7 (July 1989): 1795–807. http://dx.doi.org/10.1061/(asce)0733-9445(1989)115:7(1795).

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36

Love, Peter E. D., Robert Lopez, Jeong Tai Kim, and Mi Jeong Kim. "Probabilistic Assessment of Design Error Costs." Journal of Performance of Constructed Facilities 28, no. 3 (June 2014): 518–27. http://dx.doi.org/10.1061/(asce)cf.1943-5509.0000439.

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37

Tu, Jay F., and Jeffrey L. Stein. "Model error compensation for observer design." International Journal of Control 69, no. 2 (January 1998): 329–45. http://dx.doi.org/10.1080/002071798222875.

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38

Ljung, Lennart. "Model Error Modeling and Control Design." IFAC Proceedings Volumes 33, no. 15 (June 2000): 31–36. http://dx.doi.org/10.1016/s1474-6670(17)39722-7.

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39

Liu, Bin, Biao Chen, and Rick S. Blum. "Minimum Error Probability Cooperative Relay Design." IEEE Transactions on Signal Processing 55, no. 2 (February 2007): 656–64. http://dx.doi.org/10.1109/tsp.2006.885778.

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40

WILKINSON, SOPHIE. "Good Design Heads Off Human Error." Chemical & Engineering News 76, no. 45 (November 9, 1998): 82–84. http://dx.doi.org/10.1021/cen-v076n045.p082.

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41

Busby, J. S. "Error and distributed cognition in design." Design Studies 22, no. 3 (May 2001): 233–54. http://dx.doi.org/10.1016/s0142-694x(00)00028-4.

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42

Mahata, Kaushik. "Variance error, interpolation and experiment design." Automatica 49, no. 5 (May 2013): 1117–25. http://dx.doi.org/10.1016/j.automatica.2013.01.021.

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43

Pronzato, Luc, and Eric Walter. "Experiment design for bounded-error models." Mathematics and Computers in Simulation 32, no. 5-6 (December 1990): 571–84. http://dx.doi.org/10.1016/0378-4754(90)90013-9.

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44

Pi-Yu Chung, Yi-Min Wang, and I. N. Hajj. "Logic design error diagnosis and correction." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2, no. 3 (September 1994): 320–32. http://dx.doi.org/10.1109/92.311641.

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45

Lopez, Robert, and Peter E. D. Love. "Design Error Costs in Construction Projects." Journal of Construction Engineering and Management 138, no. 5 (May 2012): 585–93. http://dx.doi.org/10.1061/(asce)co.1943-7862.0000454.

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46

Kim, Byung Joon, Rae Cho Sung, and Sung Ho Jin. "Error Recovery System Encoder/Decoder Method and VHDL Design for Saving Memory of Embedded System." Applied Mechanics and Materials 110-116 (October 2011): 4985–91. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.4985.

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Unexpected errors may occur in any embedded systems. An error correction circuitry is used to prevent system errors. Parity bits generated from an encoder are needed to perform an error recovery process. Therefore, to be stored in the memory space should be added. In this paper, Parity bits to be stored without a memory space that can be used to error correction circuitry are proposed. The proposed method was designed in VHDL. The proposed design used the Reed-Solomon (RS) code of an error correction method. Then, 8 bits of information symbols and a symbol error correcting RS code were designed based on the design.

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47

Qin, Guo Hua, Dong Lu, Shi Ping Sun, and Hai Chao Ye. "A Kinematic Approach to Locating Error Analysis for Fixture Design." Key Engineering Materials 431-432 (March 2010): 74–77. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.74.

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In order that the required manufacturing processes can be carried out, fixtures are developed to locate and hold a workpiece firmly in the accurate position. However, source errors of fixtures can change the accurate position and in turn, cause the locating error. It follows that the evaluation of locating error is important to fixture design. Therefore, a general approach to the locating error analysis is formulated for the first time. Firstly, a kinematic model and its algorithm of the locating error are proposed to analyzing the linear dimension based on the velocity composition law of particle movement. In addition, according to the relationship between the linear velocity and angular velocity, another kinematic model and its algorithm of the locating error are also formulated to verifying the angular dimension.

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48

Thimbleby, Harold, Patrick Oladimeji, and Paul Cairns. "Unreliable numbers: error and harm induced by bad design can be reduced by better design." Journal of The Royal Society Interface 12, no. 110 (September 2015): 20150685. http://dx.doi.org/10.1098/rsif.2015.0685.

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Number entry is a ubiquitous activity and is often performed in safety- and mission-critical procedures, such as healthcare, science, finance, aviation and in many other areas. We show that Monte Carlo methods can quickly and easily compare the reliability of different number entry systems. A surprising finding is that many common, widely used systems are defective, and induce unnecessary human error. We show that Monte Carlo methods enable designers to explore the implications of normal and unexpected operator behaviour, and to design systems to be more resilient to use error. We demonstrate novel designs with improved resilience, implying that the common problems identified and the errors they induce are avoidable.

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Huang, Yu Bin, Wei Sun, Qing Chao Sun, Yue Ma, and Hong Fu Wang. "Numerical Analysis of Thermal Error for a 4-Axises Horizontal Machining Center." Applied Mechanics and Materials 868 (July 2017): 64–68. http://dx.doi.org/10.4028/www.scientific.net/amm.868.64.

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Abstract:

Thermal deformations of machine tool are among the most significant error source of machining errors. Most of current thermal error modeling researches is about 3-axies machine tool, highly reliant on collected date, which could not predict thermal errors in design stage. In This paper, in order to estimate the thermal error of a 4-axise horizontal machining center. A thermal error prediction method in machine tool design stage is proposed. Thermal errors in workspace in different working condition are illustrated through numerical simulation and volumetric error model. Verification experiments shows the outcomes of this prediction method are basically correct.

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50

Lee, Hee-Sung, and Eun-Tai Kim. "A New Approach to Multi-objective Error Correcting Code Design Method." Journal of Korean institute of intelligent systems 18, no. 5 (October 25, 2008): 611–16. http://dx.doi.org/10.5391/jkiis.2008.18.5.611.

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