软件定义存储（SDS）厂商ProphetStor希智数据宣布加人Red Hat OpenStack云基础架构合作伙伴网络，为Red Hat Enter—prise Linux OpenStack平台提供集成的ProphetStor Federator SDS解决方案。RedHat全球技术生态系统高级总监Mike Wer...软件定义存储（SDS）厂商ProphetStor希智数据宣布加人Red Hat OpenStack云基础架构合作伙伴网络，为Red Hat Enter—prise Linux OpenStack平台提供集成的ProphetStor Federator SDS解决方案。RedHat全球技术生态系统高级总监Mike Werner表示：“我们很高兴Prophet—Stor希智数据加人Red Hat OpenStack云基础架构合作伙伴网络。展开更多
This paper will explore the common origins and developments of Judaism,Christianity,and Islam,known as the Abrahamic faiths.Drawing on the references of F.E.Peters and Huston Smith,this paper examines how these tradit...This paper will explore the common origins and developments of Judaism,Christianity,and Islam,known as the Abrahamic faiths.Drawing on the references of F.E.Peters and Huston Smith,this paper examines how these traditions are unified by monotheism,reverence for sacred scripture,and ethical principles,yet dives in their historical narratives,interpretations of covenant,and worship practices.Spiritual figures such as Abraham,Moses,Jesus,and Muhammad are analyzed for their roles in shaping theology and guiding communities of faith.The study highlights the Torah,Bible,and Qur’an as sources of authority and identity,while comparing moral teachings and ritual expressions across the traditions.An emphasis is placed on the shared values and theological differences that have shaped both dialogue and conflict.Ultimately,the paper demonstrates how understanding these faiths together deepens insight into their enduring influence on culture,spirituality,and human history.展开更多
This essay considers the concept of ＂prophets of renewal＂ introduced by James Scott in The Art of Not Being Governed.. An Anarchist History of Upland Southeast Asia （2009）, as seen in the context of the 1795-97 Mi...This essay considers the concept of ＂prophets of renewal＂ introduced by James Scott in The Art of Not Being Governed.. An Anarchist History of Upland Southeast Asia （2009）, as seen in the context of the 1795-97 Miao revolt along China＇s Hunan-Guizhou border. The appearance ofa ＂Miao King＂ and four ＂Wu kings＂ centering anti-Qing resistance in an intractable highland--utilizing native legends, spirit possession, investment of officials, and multi-ethnic recruitment--suggests a case of＂Zomia＂ （the vast Southeast Asian Massif） prophets in action, as Scott himself suggests. Closer examination, however, reveals a more complex and uncertain picture, characterized by division between rival lords and an overall dearth of institutional, ideological, or cosmological elaboration, all further obscured by a paucity of historical sources. The Miao kings might be seen as prophets of renewal in a general sense, but the fit is inexact. There is still value, however, in considering Scott＇s model in the study of this event. It enables a sharper conceptualization of the agency of the Miao people, while offering a case for comparison with analogous instances of religiously-based native resistance on other Qing frontiers.展开更多
A Wireless Sensor Network(WSN)comprises a series of spatially distributed autonomous devices,each equipped with sophisticated sensors.These sensors play a crucial role in monitoring diverse environmental conditions su...A Wireless Sensor Network(WSN)comprises a series of spatially distributed autonomous devices,each equipped with sophisticated sensors.These sensors play a crucial role in monitoring diverse environmental conditions such as light intensity,air pressure,temperature,humidity,wind,etc.These sensors are generally deployed in harsh and hostile conditions;hence they suffer from different kinds of faults.However,identifying faults in WSN data remains a complex task,as existing fault detection methods,including centralized,distributed,and hybrid approaches,rely on the spatio⁃temporal correlation among sensor nodes.Moreover,existing techniques predominantly leverage classification⁃based machine learning methods to discern the fault state within WSN.In this paper,we propose a regression⁃based bagging method to detect the faults in the network.The proposed bagging method is consisted of GRU(Gated Recurrent Unit)and Prophet model.Bagging allows weak learners to combine efforts to outperform a strong learner,hence it is appropriate to use in WSN.The proposed bagging method was first trained at the base station,then they were deployed at each SN(Sensor Node).Most of the common faults in WSN,such as transient,intermittent and permanent faults,were considered.The validity of the proposed scheme was tested using a trusted online published dataset.Using experimental studies,compared to the latest state⁃of⁃the⁃art machine learning models,the effectiveness of the proposed model is shown for fault detection.Performance evaluation in terms of false positive rate,accuracy,and false alarm rate shows the efficiency of the proposed algorithm.展开更多
文摘软件定义存储（SDS）厂商ProphetStor希智数据宣布加人Red Hat OpenStack云基础架构合作伙伴网络，为Red Hat Enter—prise Linux OpenStack平台提供集成的ProphetStor Federator SDS解决方案。RedHat全球技术生态系统高级总监Mike Werner表示：“我们很高兴Prophet—Stor希智数据加人Red Hat OpenStack云基础架构合作伙伴网络。
文摘This paper will explore the common origins and developments of Judaism,Christianity,and Islam,known as the Abrahamic faiths.Drawing on the references of F.E.Peters and Huston Smith,this paper examines how these traditions are unified by monotheism,reverence for sacred scripture,and ethical principles,yet dives in their historical narratives,interpretations of covenant,and worship practices.Spiritual figures such as Abraham,Moses,Jesus,and Muhammad are analyzed for their roles in shaping theology and guiding communities of faith.The study highlights the Torah,Bible,and Qur’an as sources of authority and identity,while comparing moral teachings and ritual expressions across the traditions.An emphasis is placed on the shared values and theological differences that have shaped both dialogue and conflict.Ultimately,the paper demonstrates how understanding these faiths together deepens insight into their enduring influence on culture,spirituality,and human history.
文摘This essay considers the concept of ＂prophets of renewal＂ introduced by James Scott in The Art of Not Being Governed.. An Anarchist History of Upland Southeast Asia （2009）, as seen in the context of the 1795-97 Miao revolt along China＇s Hunan-Guizhou border. The appearance ofa ＂Miao King＂ and four ＂Wu kings＂ centering anti-Qing resistance in an intractable highland--utilizing native legends, spirit possession, investment of officials, and multi-ethnic recruitment--suggests a case of＂Zomia＂ （the vast Southeast Asian Massif） prophets in action, as Scott himself suggests. Closer examination, however, reveals a more complex and uncertain picture, characterized by division between rival lords and an overall dearth of institutional, ideological, or cosmological elaboration, all further obscured by a paucity of historical sources. The Miao kings might be seen as prophets of renewal in a general sense, but the fit is inexact. There is still value, however, in considering Scott＇s model in the study of this event. It enables a sharper conceptualization of the agency of the Miao people, while offering a case for comparison with analogous instances of religiously-based native resistance on other Qing frontiers.
文摘A Wireless Sensor Network(WSN)comprises a series of spatially distributed autonomous devices,each equipped with sophisticated sensors.These sensors play a crucial role in monitoring diverse environmental conditions such as light intensity,air pressure,temperature,humidity,wind,etc.These sensors are generally deployed in harsh and hostile conditions;hence they suffer from different kinds of faults.However,identifying faults in WSN data remains a complex task,as existing fault detection methods,including centralized,distributed,and hybrid approaches,rely on the spatio⁃temporal correlation among sensor nodes.Moreover,existing techniques predominantly leverage classification⁃based machine learning methods to discern the fault state within WSN.In this paper,we propose a regression⁃based bagging method to detect the faults in the network.The proposed bagging method is consisted of GRU(Gated Recurrent Unit)and Prophet model.Bagging allows weak learners to combine efforts to outperform a strong learner,hence it is appropriate to use in WSN.The proposed bagging method was first trained at the base station,then they were deployed at each SN(Sensor Node).Most of the common faults in WSN,such as transient,intermittent and permanent faults,were considered.The validity of the proposed scheme was tested using a trusted online published dataset.Using experimental studies,compared to the latest state⁃of⁃the⁃art machine learning models,the effectiveness of the proposed model is shown for fault detection.Performance evaluation in terms of false positive rate,accuracy,and false alarm rate shows the efficiency of the proposed algorithm.
