The area of the present investigation’s expanse constitutes the southernmost extent of the southeast Kumaun Himalaya and western Nepal Himalaya.Multidisciplinary approaches have been employed to understand the landfo...The area of the present investigation’s expanse constitutes the southernmost extent of the southeast Kumaun Himalaya and western Nepal Himalaya.Multidisciplinary approaches have been employed to understand the landforms associated with tectonic deformation,through detailed field investigation supplemented by the geodetic,chronological,and morphometric database.The morphogenic expressions of the Main Boundary Thrust(MBT)are reflected in the form of~25 km long E-W trending north dipping fault scarp.The deformation along the strike length of the Himalayan Frontal Thrust(HFT)is noticed in the form of uplifted and incised fill terraces,and strath terraces.The deformation within the fluvial sequences in the study area can be visualized in the form of sheared boulders and pebbles,tilted and faulted terrace deposits.Furthermore,the chronological data of fluvial landforms in the study area suggests two major phases of tectonic deformations that have occurred around 58.7±10.8 ka and 3.88±0.4 ka.The chronology of late-Quaternary landforms advocates that the initial stage of aggradations in the Himalayan foothills commenced around 75.1±0.58 ka.The aggradational landforms resulted from the diverse depositional regime as evident from the nature of the sediment sequences from clasts dominated to thick mud sequences.The rate of deformation in the southeastern Kumaun and western Nepal Himalaya is±7 mm/yr,as per the data obtained from the Persistent Scatterer Interferometric Synthetic Aperture Radar(PSInSAR).The landform deformation pattern,phase of incision and aggradation,frequent occurrence of landslides,and recent past earthquake activity within the wide zone of the HFT,the MBT,and Ramgarh Thrust suggests that the southernmost front of the Kumaun Himalaya is active and has potential for future geohazard.The foothill zone of Himalayan towns are actively growing in terms of population and infrastructural development.Therefore,such intradisciplinary studies for tectonically active regions are needed for future infrastructural development.展开更多
Increasing IC densities necessitate diagnosis methodologies with enhanceddefect locating capabilities. Yet the computational effort expended in extracting diagnosticinformation and the stringent storage requirements c...Increasing IC densities necessitate diagnosis methodologies with enhanceddefect locating capabilities. Yet the computational effort expended in extracting diagnosticinformation and the stringent storage requirements constitute major concerns due to the tremendousnumber of faults in typical ICs. In this paper, we propose an RT-level diagnosis methodology capableof responding to these challenges. In the proposed scheme, diagnostic information is computed on agrouped fault effect basis, enhancing both the storage and the computational aspects. The faulteffect grouping criteria are identified based on a module structure analysis, improving thepropagation ability of the diagnostic information through RT modules. Experimental results show thatthe proposed methodology provides superior speed-ups and significant diagnostic informationcompression at no sacrifice in diagnostic resolution, compared to the existing gate-level diagnosisapproaches.展开更多
基金Council of Scientific and Innovative Research for providing fellowship (file number- 09/0420(15968)/2022-EMRI)
文摘The area of the present investigation’s expanse constitutes the southernmost extent of the southeast Kumaun Himalaya and western Nepal Himalaya.Multidisciplinary approaches have been employed to understand the landforms associated with tectonic deformation,through detailed field investigation supplemented by the geodetic,chronological,and morphometric database.The morphogenic expressions of the Main Boundary Thrust(MBT)are reflected in the form of~25 km long E-W trending north dipping fault scarp.The deformation along the strike length of the Himalayan Frontal Thrust(HFT)is noticed in the form of uplifted and incised fill terraces,and strath terraces.The deformation within the fluvial sequences in the study area can be visualized in the form of sheared boulders and pebbles,tilted and faulted terrace deposits.Furthermore,the chronological data of fluvial landforms in the study area suggests two major phases of tectonic deformations that have occurred around 58.7±10.8 ka and 3.88±0.4 ka.The chronology of late-Quaternary landforms advocates that the initial stage of aggradations in the Himalayan foothills commenced around 75.1±0.58 ka.The aggradational landforms resulted from the diverse depositional regime as evident from the nature of the sediment sequences from clasts dominated to thick mud sequences.The rate of deformation in the southeastern Kumaun and western Nepal Himalaya is±7 mm/yr,as per the data obtained from the Persistent Scatterer Interferometric Synthetic Aperture Radar(PSInSAR).The landform deformation pattern,phase of incision and aggradation,frequent occurrence of landslides,and recent past earthquake activity within the wide zone of the HFT,the MBT,and Ramgarh Thrust suggests that the southernmost front of the Kumaun Himalaya is active and has potential for future geohazard.The foothill zone of Himalayan towns are actively growing in terms of population and infrastructural development.Therefore,such intradisciplinary studies for tectonically active regions are needed for future infrastructural development.
文摘Increasing IC densities necessitate diagnosis methodologies with enhanceddefect locating capabilities. Yet the computational effort expended in extracting diagnosticinformation and the stringent storage requirements constitute major concerns due to the tremendousnumber of faults in typical ICs. In this paper, we propose an RT-level diagnosis methodology capableof responding to these challenges. In the proposed scheme, diagnostic information is computed on agrouped fault effect basis, enhancing both the storage and the computational aspects. The faulteffect grouping criteria are identified based on a module structure analysis, improving thepropagation ability of the diagnostic information through RT modules. Experimental results show thatthe proposed methodology provides superior speed-ups and significant diagnostic informationcompression at no sacrifice in diagnostic resolution, compared to the existing gate-level diagnosisapproaches.