1,721,604 research outputs found
History and Normativity in Traditional Indian Muslim Thought: Reading Shari`a in the Hermeneutics of Qari Muhammad Tayyab (d.1983)
No full textTraditional forms of Islamic thought have a particular understanding as to how norms and values stand in relation to time and change. This article explores the view of a prominent thinker Qari Muhammad Tayyab, affiliated to the Deobandi school, a prominent traditionalist franchise of seminaries (madrasas) in South Asia
Thermal-aware scheduling in green data centers / Muhammad Tayyab Chaudhry
No full textData centers can go green by saving electricity in two major areas: computing and cooling. Servers in data centers require a constant supply of cold air from on-site cooling mechanism for reliability. Increased computational load makes servers to dissipate more power as heat and eventually amplifies the cooling load. In thermal-aware scheduling, computations are scheduled with the objective of reducing data center wide thermal gradient, hotspots and cooling magnitude. Complemented by heat modeling, thermal-benchmarking, thermal-aware server arrangement; and thermal-aware monitoring and profiling, this scheduling is energy efficient and economical.
This research work proposes multiple techniques for thermal-benchmarking of data center servers such as: Thermal-benchmarking for Standalone Servers (TBSS), Thermal-benchmarking for Server Comparison (TBSC), Multi-intensity TBSS (MiTBSS) and Thermal-benchmarking for Virtualized Clusters (TBVC). These techniques are useful for thermal evaluation of servers, emulating various types of workloads and creating the thermal profiles. A thermal-aware server relocation algorithm (ThSRA) for thermal-stress free arrangement of servers is also proposed. The experimental results show that the peak outlet temperatures of the servers can be brought closer to average outlet temperature by over 5 times through ThSRA. This also brings the lowering of average peak outlet temperature by 3.5% and minimizing the thermal-stress.
Thermal profiles are used for outlet temperature prediction modeling of the servers. These models include the worst case prediction model (WCPM), optimistic prediction model (OPM) and enhanced optimistic prediction model (EOPM). The best prediction model can predict the outlet temperature of the servers with an average error of up to 0.3 degree Celsius. WCPM is applied for offline hotspot-resistant virtual machine deployment algorithm (HVMDA) and hotspot-aware server arrangement algorithm (HSLERA). The combination of HVMDA and HSLERA leads to increase in server utilization by up to 50% and lowering the peak outlet temperature by up to 3% on average. The WCPM and OPM are used for the implementation of online thermal-aware VM scheduling. These schedulers have comparatively lower thermal-gradient across all servers, lower outlet temperatures across all servers, effective use of computing capacity and the power consumption. The proposed proactive schedulers comparatively show up to 11% in total energy savings. All these thermal-aware techniques are helpful in the establishment of green data centers
X-band Slotted Waveguide Antenna
No full textA planar slot array antenna of 12x16 elements is designed at X-band with uniform aperture distribution to get maximum aperture efficiency. The antenna is centre fed from iris coupling slot with alternate slot inclinations to feed
the radiating waveguides in phase. A feeding network of nonstandard waveguides is formed to couple the power from feeding network to radiating aperture. A radiating aperture also of non-standard size is selected to give the low profile antenna at 9.65GHz. The longitudinal shunt slots are used with alternate offsets directions to radiate in phase at boresight
Material Flow Analysis of the Wood-Based Value Chains in a Rapidly Changing Bioeconomy: A Literature Review
Full text linkMaterial Flow Analysis (MFA) is a key tool in the circular bioeconomy, providing insight into the flow of materials within a system. Its use in the wood-based value chain is increasingly recognized and provides valuable information for policy making. However, to the best of our knowledge, this topic has never been systematically reviewed. To fill this gap, this study developed a systematic literature review of MFA research in the wood-based value chain. Peer-reviewed articles published between 2000 and 2024 were identified via databases such as Scopus and Google Scholar and analyzed in detail to identify and deepen different approaches to MFA with reference to its conceptualization, scope, and methodological implementation. Based on our review we categorized various MFA models based on their scale and scope, revealing significant diversity in methodological terms and data requirements. The results emphasize the existing MFA approaches often face limitations due to inconsistent data quality and lack of detailed product-level analyses. This research provides practical insights on improving data collection methods, such as standardizing input datasets and incorporating economic and social indicators, to enhance the reliability of MFA studies. It also provides guidelines for implementing MFA models aligned with circular economy principles, integrating both traditional and emerging wood products streams. These insights offer valuable directions for future research aimed at more accurately capturing the complexities of wood flows, promoting better resource management, and supporting policy formulation in the bioeconomy sector. The findings of this review underscore the importance of adopting holistic and integrated methodologies that incorporate new bio-based materials and circular economy principles, ensuring that MFA continues to be an effective tool for advancing sustainable resource management in the forest sector
Power of GIS Mapping: ATLAS Flood Maps 2022 (Short Paper)
No full textIn this paper, we are introducing an efficient method based on the GIS technology, to design data immediate and analysis-ready mapping from open GIS and remote sensing data, vector and raster data into a single visualization to facilitate fast and flexible mapping, also referred to as ATLAS maps. The Google Earth Engine approach is used to pre-process the satellite data, while ArcGIS software is to integrate all the data layers. Since the ArcGIS software is included as a default dependency in GIS and remote sensing data, the proposed method provides a cross-platform and single-technology solution for handling flood mapping. For now, we conducted flood analysis using the latest open data for Pakistan and Nigeria countries, then elaborated on the advantages of each data for flood mapping with respect to inundated areas, rainfall analysis, and affected populations, health, and education facilities. Given a wide range of tasks that can benefit from the method, future work will extend the methodology to heterogeneous geodata (vector and raster) to support seamless and make it automatic interfaces
A Novel Signal Processing Technique for Ku-Band Automobile FMCW Fully Polarimetric SAR System Using Triangular LFM
No full textThis article presents a novel signal technique for Ku-band automobile frequency-modulated continuous-wave fully polarimetric synthetic aperture radar (FMCW PolSAR) system using triangular linear frequency modulation (LFM). Our proposed system shows the first utilizations of triangular LFM for an FMCW PolSAR. The proposed signal processing algorithm is based on the range Doppler algorithm (RDA). We developed an FMCW PolSAR system that transmits triangular LFM signals, which are used less frequently than sawtooth LFM in an SAR sensor. Using a theoretical background, we describe its configuration and how it works. We propose the novel processing solution, which forms two kinds of single-polarization images from a raw data set and is suitable for our system. We obtained all four kinds of single-polarization images from two raw data sets while using the triangular LFM. In comparison, when using sawtooth LFM, we obtained the four images from four raw data sets by repeating the RDA four times. The proposed method simplifies the FMCW PolSAR system configuration and the processing algorithm. We collected FMCW PolSAR raw data from an experimentally equipped automobile while maintaining a constant speed on a highway. The proposed algorithm and system were validated by processing a high-resolution FMCW PolSAR image.
Aluminium T-stub connections: additional parametric analysis for the evaluation of effective width
No full textEuropean Versus American Practice for Seismic Designof Steel Moment Resisting Frames (MRFs)
No full textDr Muhammad Tayyab Usmani
No full texthttps://ecommons.aku.edu/pk_pgme_gastro_alumni/1022/thumbnail.jp
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