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In Apatheism, Kyle Beshears explains that "apatheism", driven by secularism, comfort, and distraction, is an apathy toward God that affects us holistically. More than merely defining the problem, however, this book points towards a solution - urging readers to recapture the joy of their salvation in order to faithfully demonstrate the love of Christ to their apatheist friends and neighbors.
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In an era where the church has lost much of its credibility, pastor Tara Beth Leach casts a vision for Christians to rediscover a robust, attractive witness and form the radiant communities God intends. Challenging idolatrous false images of God and calling out toxic patterns, she shows how we can recover a winsome picture of a kingdom of abundance and goodness.
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"Dans son évangile, Jean témoigne de ce qu'il a vu et entendu. Il a vu la venue de la vérité, il en a entendu la parole. Il écrit pour garder et annoncer la nouvelle de cette venue, il écrit pour que la parole 'reste'. La langue grecque, la langue maternelle de la philosophie, accueille ainsi en elle un témoignage absolument déconcertant. La vérité a paru en personne, dans la première personne du singulier, et des hommes l'ont vue, entendue, ils pouvaient la toucher, lui adresser la parole. Dans le récit de Jean, il n'y a que des témoins : lui-même, Jean, l'autre Jean, celui qui baptise dans l'eau, la vérité qui témoigne pour elle-même et pour celui qui l'a envoyée, lui, le Père, qui témoigne pour elle, et l'Esprit, dont elle-même annonce la venue et qui témoignera pour elle. Tous les témoins témoignent les uns pour les autres, seule la vérité témoigne pour elle-même. Ils témoignent dans ce que Jean appelle le monde, à la fois contre lui, qui est un règne, et pour lui, pour le 'sauver'. Dans le monde, la vérité accomplit l'expérience du non qui lui est opposé. Le chemin de son paraître est le chemin de son service et de son sacrifice, jusqu'à l'heure de la mort, qui est l'heure de la manifestation, qui est l'heure de l'esprit. Pour une philosophie qui en reçoit comme tout homme le témoignage et à sa façon s'arrête devant lui, Jean, dans son évangile, a écrit une phénoménologie de l'esprit." Source : 4ème page de couverture
Truth --- Witness bearing (Christianity) --- Biblical teaching. --- Bible. --- Criticism, interpretation, etc.
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Jesus says his followers are the salt of the earth. But how do we cut through fear and guilt to communicate our faith effectively? Rebecca Manley Pippert offers a refreshing view of evangelism as a lifestyle, pointing to Jesus as our model and helping us feel relaxed and enthusiastic about sharing the good news.
Evangelistic work --- Communication --- Witness bearing (Christianity) --- Religious aspects --- Christianity
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In recent years, the requirements for technical components have steadily been increasing. This development is intensified by the desire for products with a lower weight, smaller size, and extended functionality, but also with a higher resistance against specific stresses. Mono-material components, which are produced by established processes, feature limited properties according to their respective material characteristics. Thus, a significant increase in production quality and efficiency can only be reached by combining different materials in a hybrid metal component. In this way, components with tailored properties can be manufactured that meet the locally varying requirements. Through the local use of different materials within a component, for example, the weight or the use of expensive alloying elements can be reduced. The aim of this Special Issue is to cover the recent progress and new developments regarding all aspects of hybrid bulk metal components. This includes fundamental questions regarding the joining, forming, finishing, simulation, and testing of hybrid metal parts.
Technology: general issues --- tailored forming --- bulk metal forming --- geometry measurement --- wrought-hot objects --- turning --- process monitoring --- feeling machine --- benchmark --- lateral angular co-extrusion --- mechanical behavior --- hybrid metal components --- ultrasound --- laser beam welding --- excitation methods --- melt pool dynamics --- nickel base alloy 2.4856 --- membrane mode enhanced cohesive zone elements --- damage --- joining zone --- cross-wedge rolling --- welding --- PTA --- LMD-W --- forming --- rolling --- coating --- hybrid bearing --- residual stresses --- X-ray diffraction --- rolling contact fatigue --- bearing fatigue life --- AISI 52100 --- plasma transferred arc welding --- residual stress --- scanning acoustic microscopy --- hybrid components --- bevel gears --- hot forging --- process-integrated heat treatment --- air-water spray cooling --- self-tempering --- aluminum-steel compound --- intermetallic phases --- co-extrusion --- nanoindentation --- multi-material --- IZEO --- topology optimization --- computer-aided engineering environment --- GPDA --- manufacturing restrictions --- composites --- HSHPT --- nano multilayers --- Ni-Ti --- SPD --- friction welding --- surface geometry modification
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Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
Technology: general issues --- rolling bearing --- performance degradation --- hybrid kernel function --- krill herd algorithm --- SVR --- acoustic-based diagnosis --- gear fault diagnosis --- attention mechanism --- convolutional neural network --- stacked auto-encoder --- weighting strategy --- deep learning --- bearing fault diagnosis --- intelligent leak detection --- acoustic emission signals --- statistical parameters --- support vector machine --- wavelet denoising --- Shannon entropy --- adaptive noise reducer --- gaussian reference signal --- gearbox fault diagnosis --- one against on multiclass support vector machine --- varying rotational speed --- fault detection and diagnosis --- faults estimation --- actuator and sensor fault --- observer design --- Takagi-Sugeno fuzzy systems --- automotive --- perception sensor --- lidar --- fault detection --- fault isolation --- fault identification --- fault recovery --- fault diagnosis --- fault detection and isolation (FDIR) --- autonomous vehicle --- model predictive control --- path tracking control --- fault detection and isolation --- braking control --- nonlinear systems --- fault tolerant control --- iterative learning control --- neural networks --- cryptography --- wireless sensor networks --- machine learning --- scan-chain diagnosis --- artificial neural network --- NARX --- control valve --- decision tree --- signature matrix --- n/a
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In recent years, the requirements for technical components have steadily been increasing. This development is intensified by the desire for products with a lower weight, smaller size, and extended functionality, but also with a higher resistance against specific stresses. Mono-material components, which are produced by established processes, feature limited properties according to their respective material characteristics. Thus, a significant increase in production quality and efficiency can only be reached by combining different materials in a hybrid metal component. In this way, components with tailored properties can be manufactured that meet the locally varying requirements. Through the local use of different materials within a component, for example, the weight or the use of expensive alloying elements can be reduced. The aim of this Special Issue is to cover the recent progress and new developments regarding all aspects of hybrid bulk metal components. This includes fundamental questions regarding the joining, forming, finishing, simulation, and testing of hybrid metal parts.
tailored forming --- bulk metal forming --- geometry measurement --- wrought-hot objects --- turning --- process monitoring --- feeling machine --- benchmark --- lateral angular co-extrusion --- mechanical behavior --- hybrid metal components --- ultrasound --- laser beam welding --- excitation methods --- melt pool dynamics --- nickel base alloy 2.4856 --- membrane mode enhanced cohesive zone elements --- damage --- joining zone --- cross-wedge rolling --- welding --- PTA --- LMD-W --- forming --- rolling --- coating --- hybrid bearing --- residual stresses --- X-ray diffraction --- rolling contact fatigue --- bearing fatigue life --- AISI 52100 --- plasma transferred arc welding --- residual stress --- scanning acoustic microscopy --- hybrid components --- bevel gears --- hot forging --- process-integrated heat treatment --- air-water spray cooling --- self-tempering --- aluminum-steel compound --- intermetallic phases --- co-extrusion --- nanoindentation --- multi-material --- IZEO --- topology optimization --- computer-aided engineering environment --- GPDA --- manufacturing restrictions --- composites --- HSHPT --- nano multilayers --- Ni-Ti --- SPD --- friction welding --- surface geometry modification
Choose an application
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
rolling bearing --- performance degradation --- hybrid kernel function --- krill herd algorithm --- SVR --- acoustic-based diagnosis --- gear fault diagnosis --- attention mechanism --- convolutional neural network --- stacked auto-encoder --- weighting strategy --- deep learning --- bearing fault diagnosis --- intelligent leak detection --- acoustic emission signals --- statistical parameters --- support vector machine --- wavelet denoising --- Shannon entropy --- adaptive noise reducer --- gaussian reference signal --- gearbox fault diagnosis --- one against on multiclass support vector machine --- varying rotational speed --- fault detection and diagnosis --- faults estimation --- actuator and sensor fault --- observer design --- Takagi-Sugeno fuzzy systems --- automotive --- perception sensor --- lidar --- fault detection --- fault isolation --- fault identification --- fault recovery --- fault diagnosis --- fault detection and isolation (FDIR) --- autonomous vehicle --- model predictive control --- path tracking control --- fault detection and isolation --- braking control --- nonlinear systems --- fault tolerant control --- iterative learning control --- neural networks --- cryptography --- wireless sensor networks --- machine learning --- scan-chain diagnosis --- artificial neural network --- NARX --- control valve --- decision tree --- signature matrix --- n/a
Choose an application
Fault diagnosis has always been a concern for industry. In general, diagnosis in complex systems requires the acquisition of information from sensors and the processing and extracting of required features for the classification or identification of faults. Therefore, fault diagnosis of sensors is clearly important as faulty information from a sensor may lead to misleading conclusions about the whole system. As engineering systems grow in size and complexity, it becomes more and more important to diagnose faulty behavior before it can lead to total failure. In the light of above issues, this book is dedicated to trends and applications in modern-sensor fault diagnosis.
Technology: general issues --- rolling bearing --- performance degradation --- hybrid kernel function --- krill herd algorithm --- SVR --- acoustic-based diagnosis --- gear fault diagnosis --- attention mechanism --- convolutional neural network --- stacked auto-encoder --- weighting strategy --- deep learning --- bearing fault diagnosis --- intelligent leak detection --- acoustic emission signals --- statistical parameters --- support vector machine --- wavelet denoising --- Shannon entropy --- adaptive noise reducer --- gaussian reference signal --- gearbox fault diagnosis --- one against on multiclass support vector machine --- varying rotational speed --- fault detection and diagnosis --- faults estimation --- actuator and sensor fault --- observer design --- Takagi-Sugeno fuzzy systems --- automotive --- perception sensor --- lidar --- fault detection --- fault isolation --- fault identification --- fault recovery --- fault diagnosis --- fault detection and isolation (FDIR) --- autonomous vehicle --- model predictive control --- path tracking control --- fault detection and isolation --- braking control --- nonlinear systems --- fault tolerant control --- iterative learning control --- neural networks --- cryptography --- wireless sensor networks --- machine learning --- scan-chain diagnosis --- artificial neural network --- NARX --- control valve --- decision tree --- signature matrix --- rolling bearing --- performance degradation --- hybrid kernel function --- krill herd algorithm --- SVR --- acoustic-based diagnosis --- gear fault diagnosis --- attention mechanism --- convolutional neural network --- stacked auto-encoder --- weighting strategy --- deep learning --- bearing fault diagnosis --- intelligent leak detection --- acoustic emission signals --- statistical parameters --- support vector machine --- wavelet denoising --- Shannon entropy --- adaptive noise reducer --- gaussian reference signal --- gearbox fault diagnosis --- one against on multiclass support vector machine --- varying rotational speed --- fault detection and diagnosis --- faults estimation --- actuator and sensor fault --- observer design --- Takagi-Sugeno fuzzy systems --- automotive --- perception sensor --- lidar --- fault detection --- fault isolation --- fault identification --- fault recovery --- fault diagnosis --- fault detection and isolation (FDIR) --- autonomous vehicle --- model predictive control --- path tracking control --- fault detection and isolation --- braking control --- nonlinear systems --- fault tolerant control --- iterative learning control --- neural networks --- cryptography --- wireless sensor networks --- machine learning --- scan-chain diagnosis --- artificial neural network --- NARX --- control valve --- decision tree --- signature matrix
Choose an application
In recent years, the requirements for technical components have steadily been increasing. This development is intensified by the desire for products with a lower weight, smaller size, and extended functionality, but also with a higher resistance against specific stresses. Mono-material components, which are produced by established processes, feature limited properties according to their respective material characteristics. Thus, a significant increase in production quality and efficiency can only be reached by combining different materials in a hybrid metal component. In this way, components with tailored properties can be manufactured that meet the locally varying requirements. Through the local use of different materials within a component, for example, the weight or the use of expensive alloying elements can be reduced. The aim of this Special Issue is to cover the recent progress and new developments regarding all aspects of hybrid bulk metal components. This includes fundamental questions regarding the joining, forming, finishing, simulation, and testing of hybrid metal parts.
Technology: general issues --- tailored forming --- bulk metal forming --- geometry measurement --- wrought-hot objects --- turning --- process monitoring --- feeling machine --- benchmark --- lateral angular co-extrusion --- mechanical behavior --- hybrid metal components --- ultrasound --- laser beam welding --- excitation methods --- melt pool dynamics --- nickel base alloy 2.4856 --- membrane mode enhanced cohesive zone elements --- damage --- joining zone --- cross-wedge rolling --- welding --- PTA --- LMD-W --- forming --- rolling --- coating --- hybrid bearing --- residual stresses --- X-ray diffraction --- rolling contact fatigue --- bearing fatigue life --- AISI 52100 --- plasma transferred arc welding --- residual stress --- scanning acoustic microscopy --- hybrid components --- bevel gears --- hot forging --- process-integrated heat treatment --- air-water spray cooling --- self-tempering --- aluminum-steel compound --- intermetallic phases --- co-extrusion --- nanoindentation --- multi-material --- IZEO --- topology optimization --- computer-aided engineering environment --- GPDA --- manufacturing restrictions --- composites --- HSHPT --- nano multilayers --- Ni-Ti --- SPD --- friction welding --- surface geometry modification --- tailored forming --- bulk metal forming --- geometry measurement --- wrought-hot objects --- turning --- process monitoring --- feeling machine --- benchmark --- lateral angular co-extrusion --- mechanical behavior --- hybrid metal components --- ultrasound --- laser beam welding --- excitation methods --- melt pool dynamics --- nickel base alloy 2.4856 --- membrane mode enhanced cohesive zone elements --- damage --- joining zone --- cross-wedge rolling --- welding --- PTA --- LMD-W --- forming --- rolling --- coating --- hybrid bearing --- residual stresses --- X-ray diffraction --- rolling contact fatigue --- bearing fatigue life --- AISI 52100 --- plasma transferred arc welding --- residual stress --- scanning acoustic microscopy --- hybrid components --- bevel gears --- hot forging --- process-integrated heat treatment --- air-water spray cooling --- self-tempering --- aluminum-steel compound --- intermetallic phases --- co-extrusion --- nanoindentation --- multi-material --- IZEO --- topology optimization --- computer-aided engineering environment --- GPDA --- manufacturing restrictions --- composites --- HSHPT --- nano multilayers --- Ni-Ti --- SPD --- friction welding --- surface geometry modification
Listing 1 - 10 of 74 | << page >> |
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