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Journal articles on the topic 'Defects of development'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Sakthi, Kumaresh, and Ramachandran Baskaran. "Defect Prevention Based on 5 Dimensions of Defect Origin." International Journal of Software Engineering & Applications (IJSEA) 3, no. 4 (2020): 87–98. https://doi.org/10.5281/zenodo.4047989.

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“Discovering the unexpected is more important than confirming the known [7]. In software development, the “unexpected” one relates to defects. These defects when unattended would cause failure to the product and risk to the users. The increasing dependency of society on software and the crucial consequences that a failure can cause requires the need to find out the defects at the origin itself. Based on the lessons learnt from the earlier set of projects, a defect framework highlighting the 5 Dimensions (Ds) of defect origin is proposed in this work. The defect framework is b

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Pond, R. C. "TEM studies of line defects in interfaces." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 586–87. http://dx.doi.org/10.1017/s0424820100104996.

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Line defects are ubiquitious features in interfaces, and have important structural and mechanistic role. Recently, a crystallographic theory of such defects has been presented which appears to offer a comprehensive framework for their classification. The object of the present paper is firstly to outline the characterisation and classification of defects according to this treatment. Secondly, we illustrate examples of defects in the distinctive classes observed using tern, and discuss the various imaging techniques which have been employed.In the absence of a rigorous treatment of line defects

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Isakulova, N. J. "CATEGORIES OF CHILDREN WITH DEFECTS IN DEVELOPMENT." International Journal of Pedagogics 4, no. 5 (2024): 17–22. http://dx.doi.org/10.37547/ijp/volume04issue05-04.

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Nonaka, Tomohiro, Yutaka Sakata, Yasuo Marumo, et al. "Development of Intelligent Forming Dies with In-Process Defect Detection System for Sheet Products." Applied Mechanics and Materials 34-35 (October 2010): 1034–38. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.1034.

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In press working, to prevent defects in sheet products and establish the traceability of the causes of defects, we have developed defect detection dies incorporating several types of sensor, including load sensors, fiber laser sensors, ultrasonic sensors and optional sensors. Typical defects such as the rising of pierced scraps, burrs, spring-back/spring-go and wrinkling can be detected using the defect detection dies, i.e., the intelligent forming dies. The real-time defect inspection of all products will be possible. This system can be used to identify defective products on the basis of sens

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Houyel, Lucile, and Sigolène M. Meilhac. "Heart Development and Congenital Structural Heart Defects." Annual Review of Genomics and Human Genetics 22, no. 1 (2021): 257–84. http://dx.doi.org/10.1146/annurev-genom-083118-015012.

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Congenital heart disease is the most frequent birth defect and the leading cause of death for the fetus and in the first year of life. The wide phenotypic diversity of congenital heart defects requires expert diagnosis and sophisticated repair surgery. Although these defects have been described since the seventeenth century, it was only in 2005 that a consensus international nomenclature was adopted, followed by an international classification in 2017 to help provide better management of patients. Advances in genetic engineering, imaging, and omics analyses have uncovered mechanisms of heart f

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Badi, Fatima Zohra, Salah Eddine Bensebti, Abdelhafid Chabane, et al. "Development and Validation of a Novel Surface Defect Index (SDI) Method for the Effective Quality Evaluation of Concrete Surfaces." Applied Sciences 14, no. 9 (2024): 3828. http://dx.doi.org/10.3390/app14093828.

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Concrete defects have a significant impact on concrete constructions. These defects should be considered not only aesthetic defects but also structural defects. In this study, a novel Surface Defect Index (SDI) method was developed to quantify the defect volume according to liquids’ penetrating properties by applying ready-mixed plaster (RMP). The SDI refers to the volumetric proportion of all apparent and unapparent defects in a given area of concrete, and it is expressed as a percentage of the total volume affected by defects. The proposed SDI method was validated and tested under various co

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Dineshraj, S., Mayukh Acharya, Alok Agarwal, et al. "Development of Hot Isostatic Pressing Technology for Investment Cast Products." Materials Science Forum 830-831 (September 2015): 19–22. http://dx.doi.org/10.4028/www.scientific.net/msf.830-831.19.

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Hot isostatic pressing (HIPping) technology is used for healing the casting defects for aerospace applications. Castings used for aerospace applications like turbo-pumps need to meet very stringent quality requirements. Complexity of the castings used in these applications, makes it difficult to meet the quality requirements in all the areas. Defects like gas holes, shrinkages, cavities etc. may occur in few locations and need to be repaired by welding or healed by HIPping. In the present study, we attempted to simulate the defect healing capability of HIP in a systematic manner. Artificial de

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Song, Wen Yan, Xin Guo Ming, Zhen Yong Wu, Zhi Tao Xu, and Li Na He. "A Bayesian Network Based Approach to Defect Prediction in New Product Development." Advanced Materials Research 328-330 (September 2011): 241–45. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.241.

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The development of new product with low cost and reliable quality is one of important means to improve customer satisfaction and increase manufactures’ profits. It is necessary to identify the key factors affecting product defects and control them early in the new product development (NPD) process with defect prediction methods, because defect prediction can effectively avoid or lower testing and unnecessary rework costs. The author proposes a new product defect prediction approach on the basis of Bayesian Network theory for decision-making in the NPD process. The proposed approach makes use o

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Stephen, Kasukusa. "Development of arc welding defects for NDT certification in zimbabwe using design of experiments." i-manager's Journal on Mechanical Engineering 14, no. 4 (2024): 25. https://doi.org/10.26634/jme.14.4.21641.

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This study explores the development of representative arc welding defects for Non-Destructive Testing (NDT) certification programs in Zimbabwe, employing Design of Experiments (DoE) methodologies to optimize defect creation and detection. Recognizing that welding defects can compromise product quality and impact business performance, this work addresses the need for skilled NDT personnel capable of identifying and characterizing various weld imperfections. Traditional NDT training in Zimbabwe lacks access to realistic weld defects, hindering the development of practical skills essential for ef

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Bunkholt, N. S., L. Gullbrekken, B. Time, and T. Kvande. "Process induced building defects in Norway – development and climate risks." Journal of Physics: Conference Series 2069, no. 1 (2021): 012040. http://dx.doi.org/10.1088/1742-6596/2069/1/012040.

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Abstract The SINTEF building defects archive is an important source to knowledge on building defects in Norway. This study presents a review of defects investigated by SINTEF in the period 2017–2020, including 175 defect cases registered in 125 reports. The main goal is to understand the primary causes of process induced building defects today and which building elements may be considered as risk spots. The review shows that almost 3 of 4 defects is related to moisture, caused by sources as precipitation, condensation of humid indoor air or built-in moisture. Defects associated with the buildi

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Shutenko, Oleg. "Analysis of the dynamics of changes in gas content in oil-filled equipment with defects of various types." Bulletin of the National Technical University "KhPI". Series: Energy: Reliability and Energy Efficiency, no. 2 (5) (December 30, 2022): 90–99. http://dx.doi.org/10.20998/2224-0349.2022.02.13.

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The article presents the results of analysing the dynamics of changes in the values of the ratios of characteristic gases, the percentage of gases, and defect nomograms in the process of developing electrical discharges, local overheating, and combined defects in high-voltage oil-filled equipment. During the analysis, the value of gas concentrations was evaluated for compliance with different levels regulated in the current Ukrainian standard at different stages of defect development. To determine the type of defect based on the values of the ratios of characteristic gases at different points

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Abdullatif, Laila, and Nathera Saleh. "Effect of Defects Parameters of Welded Joints on Fatigue Life using Finite Element Analysis." Basrah journal for engineering science 22, no. 2 (2022): 49–56. http://dx.doi.org/10.33971/bjes.22.2.8.

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The present investigation's main goal is to assess butt joint and T-joint plates containing misalignment, undercut and porosity welding defects by studying the influence of the defect’s parameters on the fatigue life. The fatigue life is predicted using ANSYS ver. 19 Software. The results of finite element analysis are used in the regression analysis to find relationship between the fatigue life and defects parameters. The findings demonstrated that finite element modeling and the pervious published experimental tests were in good agreement with maximum error percentage 4 %. The fatigue life d

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Jian, Huang, Hwa Young Kim, and Jung Hwan Ahn. "Development of Monitoring and Diagnosis System for Linear Motion Unit." Advanced Materials Research 655-657 (January 2013): 744–48. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.744.

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In the present work, investigations by high frequency resonance technique for diagnosis of defect frequencies of linear motion unit are reported. Raw vibration signature of the moving parts at different speeds of operation has been demodulated. Envelope detected spectrum is analyzed to evaluate various defect frequencies and their energy levels. Experimentally evaluated frequencies are compared with theoretically determined defect frequencies. These frequency values and their energy levels are used to monitor intrinsic condition of linear motion unit as well as to establish severity of existin

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Danilova, Evgeniya, Igor Kochegarov, Nikolay Yurkov, Mikhail Miheev, and Normunds Kante. "Models of Printed Circuit Boards Conductive Pattern Defects." Applied Computer Systems 23, no. 2 (2018): 128–34. http://dx.doi.org/10.2478/acss-2018-0016.

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Abstract A number of PCB defects, though having passed successfully the defect identification procedure, can potentially grow into critical defects under the influence of various external and (or) internal influences. The complex nature of the development of defects leading to PCB failures demands developing and updating the data measuring systems not only for detection but also for the prediction of future development of PCB defects considering the external influences. To solve this problem, it is necessary to analyse the models of defect development, which will allow predicting the defect gr

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Kumaresh, Sakthi, and R. Baskaran. "Software Defect Prevention through Orthogonal Defect Classification (ODC)." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 3 (2013): 2393–400. http://dx.doi.org/10.24297/ijct.v11i3.1166.

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â€œQuality is never an accident; it is always the result of intelligent effortâ€ [10]. In the process of making quality software product, it is necessary to have effective defect prevention process, which will minimize the risk of making defects /errors in software deliverables. An ideal approach would involve effective software development process with an integrated defect prevention process. This paper presents a Defect Prevention Model in which Defect Prevention Process(DPP) is integrated into software development life cycle to reduce the defects at early stages itself, thereby reducing th

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Hashim, Hasnan, Adi Irfan Che Ani, Kharizam Ismail, Rafidah Abd Karim, Alia Abdullah Saleh, and Suhana Johar. "Development of Mobile Application Prototype for Building Inspection Work." Jurnal Kejuruteraan si6, no. 1 (2023): 279–88. http://dx.doi.org/10.17576/jkukm-2023-si6(1)-24.

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Building surveyors traditionally relied on descriptive longhand surveys to record an information by hand during on-site building inspections. However, the traditional approach such as checklist that usually practiced were unstructured and unstandardized among organization. In certain cases, it might have a missing document and issue on time-consuming for analysis. Therefore, this mobile application prototype purposely built to track the building defects where it can be used on site during building inspection. This is to record the information according to 11 evaluation criteria namely defect c

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Shevtsov, Vladimir. "Defects of long bones - a brief history of development of technology for their compensation." Traumatology and Orthopаedics of Kazakhstan 63, S (2022): 11–27. http://dx.doi.org/10.52889/1684-9280-2022-63-11-27.

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Bone defect is the loss of part of the bone as a result of exposure to congenital or external factors.Research objective: describe the development of technology for the replacement of defects in long bones with clinical examples. Different variants of transosseous osteosynthesis according to Ilizarov are described: closed distraction osteosynthesis for restoring the length of the segment, bi- and polylocal osteosynthesis for replacing a bone defect, restoring the integrity and length of the damaged segment, using the fibula as an implant.Results of the use of these technologies in the replacem

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Alanezi, Ahmad, May Aljanahi, Keyvan Moharamzadeh, et al. "Development and Comparison of Conventional and 3D-Printed Laboratory Models of Maxillary Defects." Dentistry Journal 11, no. 5 (2023): 115. http://dx.doi.org/10.3390/dj11050115.

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Background: Recording accurate impressions from maxillary defects is a critical and challenging stage in the prosthetic rehabilitation of patients following maxillectomy surgery. The aim of this study was to develop and optimize conventional and 3D-printed laboratory models of maxillary defects and to compare conventional and digital impression techniques using these models. Methods: Six different types of maxillary defect models were fabricated. A central palatal defect model was used to compare conventional silicon impressions with digital intra-oral scanning in terms of dimensional accuracy

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Cottrill, Carol M., Janet Tamaren, and Brian Hall. "Sternal defects associated with congenital pericardial and cardiac defects." Cardiology in the Young 8, no. 1 (1998): 100–104. http://dx.doi.org/10.1017/s1047951100004716.

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AbstractWe describe three cases of sternal defects of varying severity associated with other congenital anomalies. In the most severe case, both anterior and posterior defects were seen, with near-absence of the sternum and pericardium continuous with a large omphalocele. This resulted in external location of organs usually confined within the thoracic and abdominal cavities. A ventricular septal defect was present, and the arterial duct was absent. The course of the ascending aorta was anomalous. The baby had anencephaly and rachischisis. In the intermediate case, a proximal sternal cleft was

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Nouh, Ahmed, El-Sayed El-Kasaby, and Khaled Aboulata. "Development of a Prediction System for Design Defects of Buildings." Civil Engineering Journal 9 (December 26, 2023): 217–35. http://dx.doi.org/10.28991/cej-sp2023-09-017.

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The research aimed to establish a quantitative model to predict the occurrence of five types of design defects: unsafe design, incompatible design, inefficient design, design ambiguity, and design delays. It also examined the contractor's liability for design to determine who is ultimately responsible for design defects disputes between the employer and contractor. The study employed a descriptive methodology to identify fifteen potential influencing factors on design defects. Data were collected from 42 construction projects and tested using Design of Experiments (DOE). Out of these fifteen f

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Ok, Chi-Wang. "Relationship Between Obligation to Complete Work and Defect Liability in Software Development Contracts." Institute for Legal Studies Chonnam National University 43, no. 3 (2023): 1–29. http://dx.doi.org/10.38133/cnulawreview.2023.43.3.1.

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Today, as the use of computers, communication, and automation equipment increases, the demand for development of software used in hardware is also increasing, and software development contracts are also frequently signed. In the case of software development contracts, the development requirements or the details of what developers have to do at the time of signing the contract are often not specifically determined in the contract, resulting in a lot of disputes regarding “Whether the work has been completed” or defect liability. Therefore, in this study I examined the content of an obligation t

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Ming, Wuyi, Shengfei Zhang, Xuewen Liu, et al. "Survey of Mura Defect Detection in Liquid Crystal Displays Based on Machine Vision." Crystals 11, no. 12 (2021): 1444. http://dx.doi.org/10.3390/cryst11121444.

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Liquid crystal display (LCD) is a display device based on liquid crystal electro-optic effect, and LCDs have gradually appeared and have become an indispensable part of people’s lives. In the development of LCD technology, the detection of Mura defects is a key concern in the manufacturing process. The Mura defect is a kind of display defect with low contrast and an irregular shape. This study first explains the mechanism of Mura defects in the LCD manufacturing process and classifies typical Mura defects. Then, three main purposes for the defect detection of LCDs are compared, and the advanta

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Zhou, Xiaowang. "Impact of Molecular Dynamics Simulations on Research and Development of Semiconductor Materials." MRS Advances 4, no. 61-62 (2019): 3381–98. http://dx.doi.org/10.1557/adv.2019.360.

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ABSTRACTAtomic scale defects critically limit performance of semiconductor materials. To improve materials, defect effects and defect formation mechanisms must be understood. In this paper, we demonstrate multiple examples where molecular dynamics simulations have effectively addressed these issues that were not well addressed in prior experiments. In the first case, we report our recent progress on modelling graphene growth, where we found that defects in graphene are created around periphery of islands throughout graphene growth, not just in regions where graphene islands impinge as believed

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Radkowski, S. "Vibro-acoustic diagnostics of low-energy stage of failures evolution." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 223, no. 5 (2009): 589–97. http://dx.doi.org/10.1243/09544100jaero413.

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The work concerns diagnosis of the origins and development of early stages of defects based on information found in vibroacoustic signal. At the beginning the necessity of selection of diagnostic parameters dependent upon the amount of dissipated energy and related defect development is proven. Emphasizing the fact that defect development does not always lead to a significant growth of the vibroacoustic signal's power, the author has shown importance of analysis and modelling of low-energy defects.

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Yang, Zeqing, Kangni Xu, Mingxuan Zhang, et al. "Research on Surface Defect Positioning Method of Air Rudder Based on Camera Mapping Model." Mathematics 12, no. 20 (2024): 3191. http://dx.doi.org/10.3390/math12203191.

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(1) Background: Air rudders are used to control the flight attitude of aircraft, and their surface quality directly affects flight accuracy and safety. (2) Method: Traditional positioning methods can only obtain defect location information at the image level but cannot determine the defect’s physical surface position on the air rudder, which lacks guidance for subsequent defect repair. We propose a defect physical surface positioning method based on a camera mapping model. (3) Results: Repeated positioning experiments were conducted on three typical surface defects of the air rudder, with a ma

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Muhammad, Katon, and Putu Dana Karningsih. "Development of quality improvement matrix: An integrated tools for quality improvement." MATEC Web of Conferences 204 (2018): 01013. http://dx.doi.org/10.1051/matecconf/201820401013.

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Continuous quality improvement is essential to ensure the competitiveness of manufacturing industries. Design of Experiments, Statistical Process Control and Failure Mode and Effect Analysis are common tools for improving quality. This study proposes a new tool that could encompass quality improvement steps comprehensively, namely Quality Improvement Matrix. This tool integrates several techniques which are House of Quality, Failure Mode and Effect Analysis (FMEA) and Root Cause Analysis. Quality Improvement Matrix covers identification of defects and its root causes, measuring the magnitude o

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Han, Wan Jiang, He Yang Jiang, Yi Sun, and Tian Bo Lu. "Software Defect Distribution Prediction for BOSS System." Applied Mechanics and Materials 701-702 (December 2014): 67–70. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.67.

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Effective detection of software defects is an important activity of software development process. In this paper, we propose an approach to predict residual defects for BOSS project, which applies defect distribution model. Experiment results show that this approach can effectively improve the accuracy of defect prediction.

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Karnavel, K., and R. Dillibabu. "Development and Application of New Quality Model for Software Projects." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/491246.

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The IT industry tries to employ a number of models to identify the defects in the construction of software projects. In this paper, we present COQUALMO and its limitations and aim to increase the quality without increasing the cost and time. The computation time, cost, and effort to predict the residual defects are very high; this was overcome by developing an appropriate new quality model named the software testing defect corrective model (STDCM). The STDCM was used to estimate the number of remaining residual defects in the software product; a few assumptions and the detailed steps of the ST

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Aldabbagh, Ghada Mohammad Tahir, and Safwan Omar Hasoon. "DEFECT SEVERITY CODE PREDICTION BASED ON ENSEMBLE LEARNING." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 14, no. 4 (2024): 146–53. https://doi.org/10.35784/iapgos.6393.

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In machine learning, learning algorithms that learn from other algorithms are called meta-learning. New algorithms called Ensemble algorithms have surfaced as a viable method to improve defect prediction models' accuracy and dependability. In software development defect prediction of software engineering is still a big challenge, and leads to the failure of systems, increases the cost of maintenance, and makes the development process more difficult. Consequently, defect prediction systems have become more popular as a way to foresee possible flaws early on in the development process. Defect pr

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Pandit, Harshwardhan, Amrita Mangarulkar, and Uday Dabade. "Development of New Prototype Interactive System for Casting Defect Identification and Analysis." Applied Mechanics and Materials 197 (September 2012): 433–37. http://dx.doi.org/10.4028/www.scientific.net/amm.197.433.

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Each casting produced in a foundry is a research experiment, since no two castings have the exactly same values of their geometric, material and process parameters. By the time, castings are inspected the link to the originating (influencing) parameters is lost, since they are never systematically recorded and correlated with quality characteristics. Thus, a valuable opportunity to improve casting quality is lost. In this work, we present a systematic approach for classifying casting defects by correlating them with the originating parameters; the proposed classification approach is hierarchic

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Dos Santos, Rodrigo Alexandre. "Just-In-Time Software Defect Prediction using a deep learning-based model." New Trends in Computer Sciences 2, no. 2 (2024): 91–100. https://doi.org/10.3846/ntcs.2024.22274.

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The increase in software complexity, driven by technological developments and user demands, has created major challenges for companies in Software Quality Assurance. Companies seek efficient ways to identify and mitigate defects, recognizing that they cause high financial costs and other problems with negative impacts on business. Among defect prediction approaches, Just-In-Time Software Defect Prediction has received increased attention from software industry professionals in recent years. This technique aims to identify and treat defects early, to improve the quality of the software developm

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Chung, Jin-Kyo, Jeong-Seon Im, and Min-Soo Park. "Development of Photo-Polymerization-Type 3D Printer for High-Viscosity Ceramic Resin Using CNN-Based Surface Defect Detection." Materials 16, no. 13 (2023): 4734. http://dx.doi.org/10.3390/ma16134734.

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Due to the high hardness and brittleness of ceramic materials, conventional cutting methods result in poor quality and machining difficulties. Additive manufacturing has also been tried in various ways, but it has many limitations. This study aims to propose a system to monitor surface defects that occur during the printing process based on high-viscosity composite resin that maximizes ceramic powder content in real time using image processing and convolutional neural network (CNN) algorithms. To do so, defects mainly observed on the surface were classified into four types by form: pore, minor

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Kim, Mijin. "(Invited) Hyperspectral Imaging of Fluorescent Quantum Defects for Nanosensor Development." ECS Meeting Abstracts MA2025-01, no. 12 (2025): 986. https://doi.org/10.1149/ma2025-0112986mtgabs.

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Fluorescent quantum defects synthetically incorporated into single-walled carbon nanotubes offer enhanced analyte sensitization and functionalization, making them promising candidates for biosensing applications. We investigate diverse, modifiable sensitivities of quantum defect emission properties to develop novel analytical tools for chemical biology and diagnostic technologies. In this presentation, we present an approach utilizing hyperspectral fluorescence imaging to systematically characterize the optical properties of fluorescent quantum defects and evaluate their molecular recognition-

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Kempná, Petra, and Christa E. Flück. "Adrenal gland development and defects." Best Practice & Research Clinical Endocrinology & Metabolism 22, no. 1 (2008): 77–93. http://dx.doi.org/10.1016/j.beem.2007.07.008.

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Kratzsch, Juergen, and Ferdinand Pulzer. "Thyroid gland development and defects." Best Practice & Research Clinical Endocrinology & Metabolism 22, no. 1 (2008): 57–75. http://dx.doi.org/10.1016/j.beem.2007.08.006.

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Adeshina, Dr A. M., O. S. Adeleye, and Dr Siti Fatimah Abdul Razak. "Predictive Model for Healthcare Software Defect Severity using Vote Ensemble Learning and Natural Language Processing." Journal of Internet Services and Information Security 15, no. 1 (2025): 437–50. https://doi.org/10.58346/jisis.2025.i1.029.

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Software defects are frequent occurrences, which can lead to various problems. These defects are more devastating in healthcare software. Defects in healthcare software have a higher tendency to claim lives directly than the usual manual healthcare procedures. Defects in healthcare software may cause prolonged treatment of patients, aggravating patient recuperation periods and usually leading to direct monetary wastage and healthcare resources. As software systems continue to grow in size and complexity, the likelihood of defects increases. Even with careful planning, thorough documentation, a

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Park, Jungeun, Yongwoon Cha, Hamad Al Jassmi, Sangwon Han, and Chang-taek Hyun. "Identification of Defect Generation Rules among Defects in Construction Projects Using Association Rule Mining." Sustainability 12, no. 9 (2020): 3875. http://dx.doi.org/10.3390/su12093875.

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This study aims to identify the defect generation rules between defects, to support effective defect prevention at construction sites. Numerous studies have been performed to identify the relations between defect causes, to prevent defects in construction projects. However, identifying the inter-causal pattern does not yet guarantee an ultimate grasp of what constitutes proper defect mitigation strategies, unless the underlying defect-to-defect generation rules are thoroughly understood too. Specifically, if a defect generated in a work process is ignored without taking necessary corrective ac

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Wei, Yu Lan, Yun Hui Yan, Bing Li, and Jia Hui Cong. "Development of a Surface Defect Inspection System for Cold Rolled Strip Based on Bright-Dark Filed Mode." Advanced Materials Research 118-120 (June 2010): 762–66. http://dx.doi.org/10.4028/www.scientific.net/amr.118-120.762.

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Base on the study of the light reflectivity of steel surfaces, the interaction of CCD Camera and Illumination is investigated through experience. A new bright-dark filed defect recognition method which combines bright-filed mode and dark-filed mode is proposed. The bright-filed defect and dark-field defect on the surface of the strip steel can be detected at the same time through this new way, and the quantity of the defect information is increased. Therefore, the recognized defect type is twice the tradition way. A new algorithm of defect detection which is proper to bright-dark filed mode is

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Liu, Jie, Cangming Liang, Jintao Feng, et al. "A Multi-Feature Fusion-Based Automatic Detection Method for High-Severity Defects." Electronics 12, no. 14 (2023): 3075. http://dx.doi.org/10.3390/electronics12143075.

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It is crucial to detect high-severity defects, such as memory leaks that can result in system crashes or severe resource depletion, in order to reduce software development costs and ensure software quality and reliability. The primary cause of high-severity defects is usually resource scheduling errors, and in the program source code, these defects have contextual features that require defect context to confirm their existence. In the context of utilizing machine learning methods for defect automatic confirmation, the single-feature label method cannot achieve high-precision defect confirmatio

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Chaudhari, D. N., Sanket Suresh Dabhade, ,Shubham Santosh Vaidya, and Gokul Nachan. "Development of Fault Detection system for quality control in PCB fabrication Using CNN Model." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44123.

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The defects of printed circuit boards (PCBs) generated during the manufacturing process have an adverse effect on product quality, which further directly affects the stability and reliability of equipment performance. However, there are still great challenges in accurately recognizing tiny defects on the surface of PCB under the complex background due to its compact layout. To address the problem, a novel YOLO Hornet-MCBAM-CARAFE (YOLO-HMC) network based on improved YOLOv5 framework is proposed in this article to identify the tiny-size PCB defect more accurately and efficiently with fewer mode

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Yang, Fan, Xianwang Zeng, Qilong Xia, Ligui Yang, Haonan Cai, and Chongsheng Cheng. "Early Detection and Analysis of Cavity Defects in Concrete Columns Based on Infrared Thermography and Finite Element Analysis." Materials 18, no. 7 (2025): 1686. https://doi.org/10.3390/ma18071686.

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Concrete, known for its high strength, durability, and flexibility, is a core material in construction. However, defects such as voids and honeycombing often occur due to improper pouring or vibration, weakening the concrete’s strength and affecting its long-term performance. These defects typically require costly repairs. Therefore, timely identification and repair of such early defects is crucial for improving construction quality. This paper proposes a method for non-destructive detection of honeycomb defects in concrete using infrared thermography (IR) during the hydration stage. By analyz

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Milion, Raphael N., Thaís da C. L. Alves, José Carlos Paliari, and Luisa H. B. Liboni. "CBA-Based Evaluation Method of the Impact of Defects in Residential Buildings: Assessing Risks towards Making Sustainable Decisions on Continuous Improvement Activities." Sustainability 13, no. 12 (2021): 6597. http://dx.doi.org/10.3390/su13126597.

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Evaluating the impact of defects in buildings and ranking the most impactful ones enables construction companies to better choose which paths to take in light of continuous improvement activities to support more sustainable decisions regarding the design and operation of buildings. As a result, the risks of the different choices are more clearly identified while assessing all tangible and intangible aspects of residential building defects in a structured way. Although recent studies on managing construction defects in residential buildings have focused on monetary losses associated with mainte

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Shelesko, E. V., N. A. Chernikova, Yu V. Strunina та ін. "Анализ компьютерных томограмм для разработки дифференцированного подхода к пластике дефектов крыши решетчатого лабиринта". Russian Otorhinolaryngology 21, № 1 (2022): 74–84. http://dx.doi.org/10.18692/1810-4800-2022-1-74-84.

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Study of the images before surgery in order to analyze the individual characteristics of the anatomy is the key to a successful surgery. Materials and Methods: Analysis of computed tomography data of 43 patients with defects in the ethmoid roof operated from 2010 to 2020 at the Burdenko National Medical Research Center for Neurosurgery. Patients were divided into two groups according to the localization of the defect and relapses. Results. With anterior defects, the angle between the line drawn through the nasal dorsum and the perpendicular drawn through the center of the defect to the bottom

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Avdelidis, Nicolas P., Antonios Tsourdos, Pasquale Lafiosca, Richard Plaster, Anna Plaster, and Mark Droznika. "Defects Recognition Algorithm Development from Visual UAV Inspections." Sensors 22, no. 13 (2022): 4682. http://dx.doi.org/10.3390/s22134682.

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Aircraft maintenance plays a key role in the safety of air transport. One of its most significant procedures is the visual inspection of the aircraft skin for defects. This is mainly carried out manually and involves a high skilled human walking around the aircraft. It is very time consuming, costly, stressful and the outcome heavily depends on the skills of the inspector. In this paper, we propose a two-step process for automating the defect recognition and classification from visual images. The visual inspection can be carried out with the use of an unmanned aerial vehicle (UAV) carrying an

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Kim, Bubryur, Se-Woon Choi, Gang Hu, Dong-Eun Lee, and Ronnie O. Serfa Juan. "An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module." Sensors 22, no. 9 (2022): 3118. http://dx.doi.org/10.3390/s22093118.

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Buildings and infrastructure in congested metropolitan areas are continuously deteriorating. Various structural flaws such as surface cracks, spalling, delamination, and other defects are found, and keep on progressing. Traditionally, the assessment and inspection is conducted by humans; however, due to human physiology, the assessment limits the accuracy of image evaluation, making it more subjective rather than objective. Thus, in this study, a multivariant defect recognition technique was developed to efficiently assess the various structural health issues of concrete. The image dataset use

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Sakurada, Yuichi, Mai Takashima, Toshiyuki Yasuhara, Yoshinao Iwamoto, Makoto Matsuo, and Naoto Ohtake. "Detecting Method of Bulk Defects in DLC Films Using Light Scattering." Key Engineering Materials 523-524 (November 2012): 793–98. http://dx.doi.org/10.4028/www.scientific.net/kem.523-524.793.

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Diamond-like carbon (DLC) film has various micro-size defects like pinhole, void and particle. When DLC film is exposed to white light, light is scattered in all direction at defects in DLC film. In this paper, defects in DLC film are detected by observing scattering light from defects under dark-field microscope. DLC film has wavelength dependence of transmittance. Therefore, using its wavelength dependence allows to separate surface and inside defects of DLC film. This paper describes development of bulk defects detecting system using optical filtering and scattering light detecting. Bulk de

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An, Ning, Xunwen Su, Dongmei Zhu, and Mileta M. Tomovic. "Influence of Defects on In-Plane Dynamic Properties of Hexagonal Ligament Chiral Structures." Sustainability 14, no. 18 (2022): 11432. http://dx.doi.org/10.3390/su141811432.

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Although the six-ligament chiral structure has many unique properties, due to its special structure, the stress concentration is prone to defects. In addition, additive manufacturing is also prone to defects. This paper studies the effect of defects, which is helpful for the better application of the six-ligament chiral structure. Several new six-ligament chiral structures with random and concentrated defects were designed to explore the effects of the defects on the in-plane dynamic properties. The structures were studied with the finite element ANSYS/LSDYNA numerical simulation and experimen

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Denard, Samuel, Atila Ertas, Susan Mengel, and Stephen Ekwaro-Osire. "Development Cycle Modeling: Process Risk." Applied Sciences 10, no. 15 (2020): 5082. http://dx.doi.org/10.3390/app10155082.

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The first part of this paper outlined the Statistical Agent-based Model of Development and Evaluation (SAbMDE) and demonstrated the model’s ability to estimate development cycle resource utilization. This second part of the paper explores the model’s ability to compute development cycle information content and process risk. Risk managers focus mostly on outcome risk, i.e., the likelihood that a running system will behave in an undesirable manner. SAbMDE assumes that a subset of outcome risks are not inherent and immutable but are, instead, the result of defects and vulnerabilities introduced d

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Emmanuel U. Oyo-Ita, Emmanuel A. Edim, Anthony Otiko, and Darlington E. Izuki. "Improving model performance for software defect detection and prediction using ensemble method and cross validation techniques." International Journal of Science and Research Archive 12, no. 2 (2024): 2363–73. http://dx.doi.org/10.30574/ijsra.2024.12.2.1518.

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Software defects and quality assurance are crucial aspects of software development that should be considered during the software development cycle. To ensure high-quality software, it is essential to have a robust quality assurance process in place. System reliability and quality are very key components that must be considered during software development, and this can only be achieved when software undergoes a thorough test process for errors, anomalies, defects, omissions, and bugs. Early software defect prediction and detection play an essential role in ensuring the reliability and quality o

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Rakhmetova, Perizat, Gani Sergazin, Yeldos Altay, Daniyar Dauletiya, and Lazzat Kurmangaliyeva. "Development of in-pipe defects detection and classification system." Eastern-European Journal of Enterprise Technologies 1, no. 9 (133) (2025): 80–89. https://doi.org/10.15587/1729-4061.2025.323293.

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The object of the research is in-pipe defect detection and classification. The primary problem to be solved is the inefficiency, high cost, and inaccuracy of traditional manual inspection methods, which are often time-consuming and prone to human error. The results obtained include the creation of a multi-modal platform that integrates Red-Green-Blue (RGB) imaging and depth data with advanced artificial intelligence algorithms, Canny edge detection, and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering, achieving a 93 % mean Average Precision (mAP) in detecting an

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