Un systeme de detection de la circulation permettant de detecter la circulation sur une chaussee ... more Un systeme de detection de la circulation permettant de detecter la circulation sur une chaussee comprend un premier detecteur comprenant un premier champ de vision, un second detecteur comprenant un second champ de vision et un dispositif de commande. Les premier et second champs de vision se chevauchent au moins partiellement dans un champ de vision commun sur une partie de la chaussee, et le premier detecteur et le second detecteur offrent differentes modalites de detection. Le dispositif de commande est concu pour selectionner un flux de donnees de detecteur pour au moins une partie du champ de vision commun en provenance du premier et/ou du second detecteur en fonction des conditions de fonctionnement sur la chaussee.
Fatigue failure of metallic structures is of great concern to industrial applications. A material... more Fatigue failure of metallic structures is of great concern to industrial applications. A material will not be practically useful if it is prone to fatigue failures. To take the advantage of lately emerged high-entropy alloys (HEAs) for designing novel fatigue-resistant alloys, we compiled a fatigue database of HEAs from the literature reported until the beginning of 2022. The database is subdivided into three categories, i.e., low-cycle fatigue (LCF), high-cycle fatigue (HCF), and fatigue crack growth rate (FCGR), which contain 15, 23, and 28 distinct data records, respectively. Each data record in any of three categories is characteristic of a summary, which is comprised of alloy compositions, key fatigue properties, and additional information influential to, or interrelated with, fatigue (e.g., material processing history, phase constitution, grain size, uniaxial tensile properties, and fatigue testing conditions), and an individual dataset, which makes up the original fatigue tes...
2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689)
We propose a quasi-maximum-likelihood (quasi-ML) detection scheme with soft output and low decodi... more We propose a quasi-maximum-likelihood (quasi-ML) detection scheme with soft output and low decoding complexity for multiple antenna wireless channels modulated with phase-shift keying (PSK). These detectors, which we refer to as quasi-ML PSK decoders, deploy a nonlinear programming relaxation and are able to achieve the performance of exact ML detection in a wide variety of coded or uncoded and PSK modulated multiple-antenna channels. Yet, the decoding complexity or the soft quasi-ML PSK decoders is much less than of ML detectors using exhaustive search. We also demonstrate that the quasi-ML PSK decoders possess favorable complexity properties compared to the existing sphere decoders.
This paper presents a bilinear log model, for predicting temperature-dependent ultimate strength ... more This paper presents a bilinear log model, for predicting temperature-dependent ultimate strength of high-entropy alloys (HEAs) based on 21 HEA compositions. We consider the break temperature, Tbreak, introduced in the model, an important parameter for design of materials with attractive high-temperature properties, one warranting inclusion in alloy specifications. For reliable operation, the operating temperature of alloys may need to stay below Tbreak. We introduce a technique of global optimization, one enabling concurrent optimization of model parameters over low-temperature and high-temperature regimes. Furthermore, we suggest a general framework for joint optimization of alloy properties, capable of accounting for physics-based dependencies, and show how a special case can be formulated to address the identification of HEAs offering attractive ultimate strength. We advocate for the selection of an optimization technique suitable for the problem at hand and the data available, a...
International Journal of Engineering Education, 2017
Design is a human activity that encompasses a broad array of tasks. In engineering design, indivi... more Design is a human activity that encompasses a broad array of tasks. In engineering design, individual efforts can beaggregated into teams to maximize collective progress. Effective teamwork, however, requires extensive management,organization and communication. Furthermore, modern challenges encompass complicated multi-disciplinary problemswith faster schedules, fewer resources, and greater demands. Design, as a process, can be dissected into characteristicphases. Within each phase, design solutions are gradually developed. Technological tools have prioritized the structuredanalyses of the detailed and final design phases and have proven to be powerful multipliers for effective design efforts. It haslong been the case, however, that major commitments of intangible resources are made as a result of efforts in the lessemphasizedearlierphases. These commitments and lack of modern toolsets for requirement development and conceptualdesign activities materialize as major sources of design...
This chapter presents an innovative framework for the application of machine learning and data an... more This chapter presents an innovative framework for the application of machine learning and data analytics for the identification of alloys or composites exhibiting certain desired properties of interest. The main focus is on alloys and composites with large composition spaces for structural materials. Such alloys or composites are referred to as high-entropy materials (HEMs) and are here presented primarily in context of structural applications. For each output property of interest, the corresponding driving (input) factors are identified. These input factors may include the material composition, heat treatment, manufacturing process, microstructure, temperature, strain rate, environment, or testing mode. The framework assumes the selection of an optimization technique suitable for the application at hand and the data available. Physics-based models are presented, such as for predicting the ultimate tensile strength (UTS) or fatigue resistance. We devise models capable of accounting ...
Un systeme de detection de la circulation permettant de detecter la circulation sur une chaussee ... more Un systeme de detection de la circulation permettant de detecter la circulation sur une chaussee comprend un premier detecteur comprenant un premier champ de vision, un second detecteur comprenant un second champ de vision et un dispositif de commande. Les premier et second champs de vision se chevauchent au moins partiellement dans un champ de vision commun sur une partie de la chaussee, et le premier detecteur et le second detecteur offrent differentes modalites de detection. Le dispositif de commande est concu pour selectionner un flux de donnees de detecteur pour au moins une partie du champ de vision commun en provenance du premier et/ou du second detecteur en fonction des conditions de fonctionnement sur la chaussee.
Fatigue failure of metallic structures is of great concern to industrial applications. A material... more Fatigue failure of metallic structures is of great concern to industrial applications. A material will not be practically useful if it is prone to fatigue failures. To take the advantage of lately emerged high-entropy alloys (HEAs) for designing novel fatigue-resistant alloys, we compiled a fatigue database of HEAs from the literature reported until the beginning of 2022. The database is subdivided into three categories, i.e., low-cycle fatigue (LCF), high-cycle fatigue (HCF), and fatigue crack growth rate (FCGR), which contain 15, 23, and 28 distinct data records, respectively. Each data record in any of three categories is characteristic of a summary, which is comprised of alloy compositions, key fatigue properties, and additional information influential to, or interrelated with, fatigue (e.g., material processing history, phase constitution, grain size, uniaxial tensile properties, and fatigue testing conditions), and an individual dataset, which makes up the original fatigue tes...
2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689)
We propose a quasi-maximum-likelihood (quasi-ML) detection scheme with soft output and low decodi... more We propose a quasi-maximum-likelihood (quasi-ML) detection scheme with soft output and low decoding complexity for multiple antenna wireless channels modulated with phase-shift keying (PSK). These detectors, which we refer to as quasi-ML PSK decoders, deploy a nonlinear programming relaxation and are able to achieve the performance of exact ML detection in a wide variety of coded or uncoded and PSK modulated multiple-antenna channels. Yet, the decoding complexity or the soft quasi-ML PSK decoders is much less than of ML detectors using exhaustive search. We also demonstrate that the quasi-ML PSK decoders possess favorable complexity properties compared to the existing sphere decoders.
This paper presents a bilinear log model, for predicting temperature-dependent ultimate strength ... more This paper presents a bilinear log model, for predicting temperature-dependent ultimate strength of high-entropy alloys (HEAs) based on 21 HEA compositions. We consider the break temperature, Tbreak, introduced in the model, an important parameter for design of materials with attractive high-temperature properties, one warranting inclusion in alloy specifications. For reliable operation, the operating temperature of alloys may need to stay below Tbreak. We introduce a technique of global optimization, one enabling concurrent optimization of model parameters over low-temperature and high-temperature regimes. Furthermore, we suggest a general framework for joint optimization of alloy properties, capable of accounting for physics-based dependencies, and show how a special case can be formulated to address the identification of HEAs offering attractive ultimate strength. We advocate for the selection of an optimization technique suitable for the problem at hand and the data available, a...
International Journal of Engineering Education, 2017
Design is a human activity that encompasses a broad array of tasks. In engineering design, indivi... more Design is a human activity that encompasses a broad array of tasks. In engineering design, individual efforts can beaggregated into teams to maximize collective progress. Effective teamwork, however, requires extensive management,organization and communication. Furthermore, modern challenges encompass complicated multi-disciplinary problemswith faster schedules, fewer resources, and greater demands. Design, as a process, can be dissected into characteristicphases. Within each phase, design solutions are gradually developed. Technological tools have prioritized the structuredanalyses of the detailed and final design phases and have proven to be powerful multipliers for effective design efforts. It haslong been the case, however, that major commitments of intangible resources are made as a result of efforts in the lessemphasizedearlierphases. These commitments and lack of modern toolsets for requirement development and conceptualdesign activities materialize as major sources of design...
This chapter presents an innovative framework for the application of machine learning and data an... more This chapter presents an innovative framework for the application of machine learning and data analytics for the identification of alloys or composites exhibiting certain desired properties of interest. The main focus is on alloys and composites with large composition spaces for structural materials. Such alloys or composites are referred to as high-entropy materials (HEMs) and are here presented primarily in context of structural applications. For each output property of interest, the corresponding driving (input) factors are identified. These input factors may include the material composition, heat treatment, manufacturing process, microstructure, temperature, strain rate, environment, or testing mode. The framework assumes the selection of an optimization technique suitable for the application at hand and the data available. Physics-based models are presented, such as for predicting the ultimate tensile strength (UTS) or fatigue resistance. We devise models capable of accounting ...
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Papers by Baldur Steingrimsson