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Relevant bibliographies by topics / Dice similarity measure

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Academic literature on the topic 'Dice similarity measure'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Dice similarity measure"

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Afrianda, Cahyapratama, Rossa Sungkono Kelly, and Sarno Riyanarto. "Gap analysis business process model by using structural similarity." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 1 (2020): 124–34. https://doi.org/10.11591/ijeecs.v18.i1.pp124-134.

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Gap analysis process model is a study that can help an institution to determine differences between business process models, such as a model of Standard Operating Procedure and a model of activities in an event log. Gap analysis is used for finding incomplete processes and can be obtained by using structural similarity. Structural similarity measures the similarity of activities and relationships depicting in the models. This research introduces a graph-matching algorithm as the structural similarity algorithm and compares it with dice coefficient algorithms. Graph-matching algorithm notices p

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Albaity, Majed, and Tahir Mahmood. "Medical Diagnosis and Pattern Recognition Based on Generalized Dice Similarity Measures for Managing Intuitionistic Hesitant Fuzzy Information." Mathematics 10, no. 15 (2022): 2815. http://dx.doi.org/10.3390/math10152815.

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Pattern recognition is the computerized identification of shapes, designs, and reliabilities in information. It has applications in information compression, machine learning, statistical information analysis, signal processing, image analysis, information retrieval, bioinformatics, and computer graphics. Similarly, a medical diagnosis is a procedure to illustrate or identify diseases or disorders, which would account for a person’s symptoms and signs. Moreover, to illustrate the relationship between any two pieces of intuitionistic hesitant fuzzy (IHF) information, the theory of generalized di

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Li, Xiaoman, Cui Wang, Xuefu Zhang, and Wei Sun. "Generic SAO Similarity Measure via Extended Sørensen-Dice Index." IEEE Access 8 (2020): 66538–52. http://dx.doi.org/10.1109/access.2020.2984024.

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Kim, Seongho, Ikuko Kato, and Xiang Zhang. "Comparative Analysis of Binary Similarity Measures for Compound Identification in MassSpectrometry-Based Metabolomics." Metabolites 12, no. 8 (2022): 694. http://dx.doi.org/10.3390/metabo12080694.

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Compound identification is a critical step in untargeted metabolomics. Its most important procedure is to calculate the similarity between experimental mass spectra and either predicted mass spectra or mass spectra in a mass spectral library. Unlike the continuous similarity measures, there is no study to assess the performance of binary similarity measures in compound identification, even though the well-known Jaccard similarity measure has been widely used without proper evaluation. The objective of this study is thus to evaluate the performance of binary similarity measures for compound ide

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Cahyapratama, Afrianda, Kelly Rosa Sungkono, and Riyanarto Sarno. "Gap analysis business process model by using structural similarity." Indonesian Journal of Electrical Engineering and Computer Science 18, no. 1 (2020): 124. http://dx.doi.org/10.11591/ijeecs.v18.i1.pp124-134.

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<span>Gap analysis process model is a study that can help an institution to determine differences between business process models, such as a model of Standard Operating Procedure and a model of activities in an event log. Gap analysis is used for finding incomplete processes and can be obtained by using structural similarity. Structural similarity measures the similarity of activities and relationships depicting in the models. This research introduces a graph-matching algorithm as the structural similarity algorithm and compares it with dice coefficient algorithms. Graph-matching algorit

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Mahmood, Tahir, Ubaid Ur Rehman, Zeeshan Ali, and Ronnason Chinram. "Jaccard and Dice Similarity Measures Based on Novel Complex Dual Hesitant Fuzzy Sets and Their Applications." Mathematical Problems in Engineering 2020 (November 11, 2020): 1–25. http://dx.doi.org/10.1155/2020/5920432.

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Complex dual hesitant fuzzy set (CDHFS) is a combination of two modifications, called complex fuzzy set (CFS) and dual hesitant fuzzy set (DHFS). CDHFS makes two degrees, called membership valued and nonmembership valued in the form of a finite subset of a unit disc in the complex plane, and is a capable method to solve uncertain and unpredictable information in real-life problems. The goal of this study is to describe the notion of CDHFS and its operational laws. The novel approach of the complex interval-valued dual hesitant fuzzy set (CIvDHFS) and its fundamental laws are also described and

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Ren, Shapu. "Multicriteria Decision-Making Method Under a Single Valued Neutrosophic Environment." International Journal of Intelligent Information Technologies 13, no. 4 (2017): 23–37. http://dx.doi.org/10.4018/ijiit.2017100102.

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A single valued neutrosophic set (SVNS) is a subclass of neutrosophic sets, which generalizes fuzzy sets, interval valued fuzzy set, and intuitionistic fuzzy set. It can be used to easily express incomplete, indeterminate and inconsistent information. This paper introduces the Dice similarity measure of single valued neutrosophic numbers (SVNNs) for ranking SVNNs and a single valued neutrosophic prioritized weighted geometric (SVNPWG) operator for aggregating single valued neutrosophic information. Based on the SVNPWG operator and the Dice similarity measure for SVNNs, a multicriteria decision

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Tiwari, Sunita, and Saroj Kaushik. "EMD-Based Semantic User Similarity Using Past Travel Histories." Journal of Cases on Information Technology 24, no. 3 (2022): 1–17. http://dx.doi.org/10.4018/jcit.20220701.oa2.

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The cost-effective and easy availability of handheld mobile devices and ubiquity of location acquisition services such as GPS and GSM networks has helped expedient logging and sharing of location histories of mobile users. This work aims to find semantic user similarity using their past travel histories. Application of the semantic similarity measure can be found in tourism-related recommender systems and information retrieval. The paper presents Earth Mover’s Distance (EMD) based semantic user similarity measure using users' GPS logs. The similarity measure is applied and evaluated on the GPS

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Sulaiman, Nor Hashimah, Daud Mohamad, Jamilah Mohd Shariff, Sharifah Aniza Sayed Ahmad, and Kamilah Abdullah. "Extended FTOPSIS with Distance and Set Theoretic-Based Similarity Measure." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (2018): 387. http://dx.doi.org/10.11591/ijeecs.v9.i2.pp387-394.

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Comparing fuzzy numbers is an essential process in deducing the output of many fuzzy decision making methods. One of the comparison methods commonly used is by using similarity measure. The main advantage of the similarity measure over other approaches is its ability to minimize the loss of information in the computational process. Several similarity measures have been applied effectively in fuzzy decision making methods. In this paper, a new similarity measure based on the geometric distance, the center of gravity, Hausdorf distance and the set theoretic similarity formula known as the Dice s

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Extended, FTOPSIS with Distance and Set Theoretic-Based Similarity Measure, Mohamad Daud, Mohd Shariff Jamilah, Aniza Sayed Ahmad Sharifah, and Abdullah Kamilah. "Extended FTOPSIS with Distance and Set Theoretic-Based Similarity Measure." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 2 (2018): 387–94. https://doi.org/10.11591/ijeecs.v9.i2.pp387-394.

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Comparing fuzzy numbers is an essential process in deducing the output of many fuzzy decision making methods. One of the comparison methods commonly used is by using similarity measure. The main advantage of the similarity measure over other approaches is its ability to minimize the loss of information in the computational process. Several similarity measures have been applied effectively in fuzzy decision making methods. In this paper, a new similarity measure based on the geometric distance, the center of gravity, Hausdorf distance and the set theoretic similarity formula known as the Dice s

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Book chapters on the topic "Dice similarity measure"

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Alias, Suriana, Norzieha Mustapha, Roliza Md Yasin, et al. "Roughness-Dice Similarity Measure Generalization for Rough Neutrosophic Set Application in Investment Company Selection." In Springer Proceedings in Mathematics & Statistics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3450-4_1.

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Joshi, Deepa, and Sanjay Kumar. "An Approach to Multi-criteria Decision Making Problems Using Dice Similarity Measure for Picture Fuzzy Sets." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0023-3_13.

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Dutta, Palash, and Bornali Saikia. "Dice Similarity Measure for Fuzzy Numbers and its Applications in Multi-critera Decision Making and Pattern Recognition." In Engineering Mathematics and Computing. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2300-5_5.

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Tapp, Austin, Rahimeh Rouhi, Jeffrey Tanedo, et al. "Quality Assurance and Hippocampal Segmentation on Low-Field Pediatric Magnetic Resonance Images." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83008-2_6.

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Abstract Portable ultra-low-field (uLF, i.e., 0.064T) magnetic resonance imaging (MRI) offers a solution to scarce radiological alternatives of resource-limited regions; however, in such regions, MRI system operators and radiologists are novices to the underrepresented modality. Therefore, automatic methods that confirm image acquisition of appropriate quality for diagnosis and segment and measure critical anatomical structures are required to support rural sites. This paper describes our approach to two tasks presented in the LISA 2024 Challenge: (1) quality assurance of pediatric low-field M

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Wang, Ping, Jie Wang, and Guiwu Wei. "The Generalized Dice Similarity Measures for Spherical Fuzzy Sets and Their Applications." In Decision Making with Spherical Fuzzy Sets. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45461-6_4.

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Farrokhizadeh, Elmira, Seyed Amin Seyfi Shishavan, Yaser Donyatalab, and Sohrab Abdollahzadeh. "The Dice (Sorensen) Similarity Measures for Optimal Selection with q-Rung Orthopair Fuzzy Information." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51156-2_56.

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Ali, Sharib, Dehui Lin, Markus Axer, and Karl Rohr. "Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images." In Bildverarbeitung für die Medizin 2018. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-56537-7_28.

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Balkenhol, Niko. "Evidenzbasiertes Rotwildmanagement in Deutschland: Eine Übersicht und Vorschläge für die Zukunft." In Evidenzbasiertes Wildtiermanagement. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-65745-4_2.

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ZusammenfassungRothirsche, in der Jägersprache als Rotwild bezeichnet, können starke Emotionen hervorrufen und große Konflikte verursachen. Das Management von Rotwild sollte evidenzbasiert sein, sich also an wissenschaftlich gewonnenen Erkenntnissen orientieren. In diesem Kapitel fasse ich zusammen, wie solch ein evidenzbasiertes Rotwildmanagement grundsätzlich gestaltet sein sollte und welche Evidenzen es für verschiedene Aspekte des Rotwildmanagements gibt. Hierbei spielt die Jagd zwar eine wichtige Rolle, ist aber nur eine der möglichen Maßnahmen, mit denen Managementziele erreicht werden k

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Khoulqi, Ichrak, Najlae Idrissi, and Muhammad Sarfraz. "Segmentation of Pectoral Muscle in Mammogram Images Using Gaussian Mixture Model-Expectation Maximization." In Research Anthology on Medical Informatics in Breast and Cervical Cancer. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-7136-4.ch038.

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Breast cancer is one of the significant issues in medical sciences today. Specifically, women are suffering most worldwide. Early diagnosis can result to control the growth of the tumor. However, there is a need of high precision of diagnosis for right treatment. This chapter contributes toward an achievement of a computer-aided diagnosis (CAD) system. It deals with mammographic images and enhances their quality. Then, the enhanced images are segmented for pectoral muscle (PM) in the Medio-Lateral-Oblique (MLO) view of the mammographic images. The segmentation approach uses the tool of Gaussia

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Khoulqi, Ichrak, Najlae Idrissi, and Muhammad Sarfraz. "Segmentation of Pectoral Muscle in Mammogram Images Using Gaussian Mixture Model-Expectation Maximization." In Advancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-4444-0.ch009.

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Breast cancer is one of the significant issues in medical sciences today. Specifically, women are suffering most worldwide. Early diagnosis can result to control the growth of the tumor. However, there is a need of high precision of diagnosis for right treatment. This chapter contributes toward an achievement of a computer-aided diagnosis (CAD) system. It deals with mammographic images and enhances their quality. Then, the enhanced images are segmented for pectoral muscle (PM) in the Medio-Lateral-Oblique (MLO) view of the mammographic images. The segmentation approach uses the tool of Gaussia

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Conference papers on the topic "Dice similarity measure"

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Dutta, Palash. "An Advanced Dice Similarity Measure of Fuzzy Numbers and Its Application in Multicriteria Decision Making." In 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP). IEEE, 2019. http://dx.doi.org/10.1109/icaccp.2019.8882899.

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Botero, Ulbert J., David Koblah, Daniel E. Capecci, et al. "Automated Via Detection for PCB Reverse Engineering." In ISTFA 2020. ASM International, 2020. http://dx.doi.org/10.31399/asm.cp.istfa2020p0157.

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Abstract Reverse engineering (RE) is the only foolproof method of establishing trust and assurance in hardware. This is especially important in today's climate, where new threats are arising daily. A Printed Circuit Board (PCB) serves at the heart of virtually all electronic systems and, for that reason, a precious target amongst attackers. Therefore, it is increasingly necessary to validate and verify these hardware boards both accurately and efficiently. When discussing PCBs, the current state-of-the-art is non-destructive RE through X-ray Computed Tomography (CT); however, it remains a pred

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Vijay, Amishi, Jasleen Saini, and B. S. Saini. "A Review of Brain Tumor Image Segmentation of MR Images Using Deep Learning Methods." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.19.

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A significant analysis is routine for Brain Tumor patients and it depends on accurate segmentation of Region of Interest. In automatic segmentation, field deep learning algorithms are attaining interest after they have performed very well in various ImageNet competitions. This review focuses on state-of-the-art Deep Learning Algorithms which are applied to Brain Tumor Segmentation. First, we review the methods of brain tumor segmentation, next the different deep learning algorithms and their performance measures like sensitivity, specificity and Dice similarity Coefficient (DSC) are discussed

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Ahmadzadegan, Arash, Anil Saigal, and Michael A. Zimmerman. "Numerical and Experimental Measurements of Die Swell for a LCP and an Amorphous Polymer." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63723.

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It is known that liquid crystalline polymer (LCP) melts have a high elasticity which can be measured from its effect on the rheology on the cessation of shear. On the other hand, LCPs show very limited die swell after extrusion. In this paper, the results of experimental measurements of the die swell for a liquid crystalline material and polypropylene (PP), an amorphous polymer, are presented. The extrudate thickness 5 cm below the die lip is optically measured and the results are analyzed using ImageJ software. A numerical simulation of the die swell based on the capillary rheometry data and

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Lin, Chang, Tsung-Chun Ho, Shih-Chun Hsieh, and Kuang-An Chang. "Characteristics of Vortex Shedding Process Induced by a Solitary Wave Propagating Over a Submerged Obstacle." In 25th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/omae2006-92457.

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The generation and evolution of shedding vortices induced by a solitary wave propagating over a two-dimensional submerged obstacle, a rectangular dike or a vertical plate, was investigated experimentally. The vortex shedding process was observed qualitatively using laser induced fluorescence (LIF) technique and particle tracing technique. The velocity fields were measured quantitatively using particle image velocimetry (PIV). Base on the results of the flow visualization, the comparison of the vortex shedding processes between rectangular dike and vertical plate was qualitatively made under th

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Li, Kevin, and William Z. Bernstein. "Developing a Capability-Based Similarity Metric for Manufacturing Processes." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2790.

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Manufacturing taxonomies and accompanying metadata of manufacturing processes have been catalogued in both reference books and databases on-line. However, such information remains in a form that is uninformative to the various stages of the product life cycle, including the design phase and manufacturing-related activities. This challenge lies in the varying nature in how the data is captured and represented. In this paper, we explore measures for comparing manufacturing data with the goal of developing a capability-based similarity metric for manufacturing processes. To judge the effectivenes

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Nguyen, Quang, Jordan C. Roberts, Jeffrey C. Suhling, Richard C. Jaeger, and Pradeep Lall. "Measurement and Simulation of Moisture Induced Die Stresses in Flip Chip on Laminate Assemblies." In ASME 2015 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2015 13th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipack2015-48626.

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In this work, an investigation has been performed on hygrothermally induced die stresses in flip chip assemblies caused by moisture absorption by the underfill encapsulant. Silicon test chips were first applied to perform a variety of measurements of moisture and thermally induced die stresses in flip chip on laminate assemblies. The sample die stresses were first measured after underfill encapsulation and cure, and then subsequently after long term storage (10 years) at room temperature and ambient humidity. The assemblies were then exposed to and 85 °C and 85% RH high humidity harsh environm

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Garcia Zugasti, Pedro de Jesus, José de Jesús Navarro Delgado, Hugo I. Medellín Castillo, Carlos Valdez Dávila, and Juan Gabriel Sandoval Granja. "New Expression for a Blanking Force Calculus of a Cospel Using a Die Matrix Angled." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52215.

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Frequently it is desired to calculate the blanking shear force of a cospel using an angled matrix as main characteristics of the cutting die. There are two reasons that support the development of this calculation: the first is that the product may change its shape or material, which makes necessary to modify the operating parameters according to the geometric size and metal composition changes. The second is that the nominal capacity of the working press is established by the manufacturer and cannot be altered to adapt to a new product, this means that any new product parameters must be adapte

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Hua, Younan, Nistala Ramesh Rao, Yanjing Yang, Siping Zhao, and Redkar Shailesh. "Simulation Studies on Fluorine Spec Limit for Process Monitoring of Microchip Al Bondpads in Wafer Fabrication." In ISTFA 2013. ASM International, 2013. http://dx.doi.org/10.31399/asm.cp.istfa2013p0134.

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Abstract In wafer fabrication, Fluorine (F) contamination may cause fluorine-induced corrosion and defects on microchip Aluminum (Al) bondpads, resulting in bondpad discoloration or non-stick on pads (NSOP). Auger Electron Spectroscopy (AES) is employed for measurements of the fluorine level on the Al bondpads. From a Process control limit and a specification limit perspective, it is necessary to establish a control limit to enable process monitor reasons. Control limits are typically lower than the specification limits which are related to bondpad quality. The bondpad quality affects the die

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Zhang, Y., J. K. Gershenson, and S. Allamneni. "Determining Relationships Between Modularity and Cost in Product Retirement." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/dtm-21686.

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Abstract Modular product design allows the designer to control the degree to which changes in requirements affect the product. By promoting interchangeability, modularity also gives designers more flexibility, with decreased cycle time, to meet changing requirements. Specific advantages associated with modular products include economies of scale, standardization of assemblies, minimization of assembly time, improved serviceability, and many more. Modular architecture is traditionally made up of functionally independent clusters of components. Past definitions of modularity have centered on a o

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