This paper examined the synergistic integration of the Bridge Management System (BMS) into Building Information Modeling (BIM), a robust online database, and Quick Response (QR) code technology to enhance the efficien...
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This paper examined the synergistic integration of the Bridge Management System (BMS) into Building Information Modeling (BIM), a robust online database, and Quick Response (QR) code technology to enhance the efficiency and reliability of bridge infrastructure management. The integrated framework leveraged BIM's 3D modeling capabilities, a comprehensive online database for data storage and retrieval, and QR code technology for real-time tracking and monitoring of bridge components. Through a systematic review of the literature, a novel framework was introduced that streamlines bridge maintenance, inspection, and lifecycle management. The potential benefits, including improved asset management, predictive maintenance, and cost savings were discussed, while implementation challenges and barriers were addressed. To verify the developed framework, it was applied to a case study (Sadr Bridge). Subsequently, a questionnaire was administered to project employees. The survey results demonstrated that the participants believed the proposed framework effectively enhanced facility management (FM) practices, receiving high ratings across various metrics, particularly in budget allocation (4.73 out of 5). Key performance indicators (PIs) based on experts' opinions showed significant improvements, including a 17% reduction in maintenance costs, an 8% decrease in inspection overwork, a 23% reduction in inspection time, and a 41% reduction in paperwork. Overall, the framework substantially improved the accuracy and efficiency of FM practices. In conclusion, experts believed that the framework was more effective and accurate in bridge maintenance compared to traditional bridge management approaches. It offered potential for labor savings and budget optimization and can significantly reduce inspection time.
Hydrogen-deuterium exchange monitored by mass spectrometry (HDX-MS) is a well-established and powerful technique used to study protein dynamics and stability by capturing local and global unfolding events in protein s...
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Hydrogen-deuterium exchange monitored by mass spectrometry (HDX-MS) is a well-established and powerful technique used to study protein dynamics and stability by capturing local and global unfolding events in protein structures. However, in this technique, obtaining region-specific information requires proteolytic digestion that breaks the protein into peptide fragments, causing the HDX data to reflect averages over these fragments rather than individual amino acids. We propose a new computational method that provides deuterium uptake kinetic parameters with high resolution, considering deuterium uptake trajectories of superimposed peptides. Our algorithm, HRaDeX, is available as a web server and an R package capable of processing data from single-state and comparative HDX-MS studies. Utilizing eight benchmark data sets, we demonstrate that HRaDeX reaches an average root-mean-square error of 7.15% in the reconstitution of experimental normalized deuterium uptake curves.
PUNCH is a freely accessible web server designed for the rapid and accurate prediction of intrinsically disordered regions (IDRs) in protein sequences. Built on a high-performance computational framework, PUNCH web se...
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Most web servers, in practical use, use a queuing policy based on the Best Effort model, which employs the first-in-first-out (FIFO) scheduling rule to prioritize web requests in a single queue. This model does not pr...
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Most web servers, in practical use, use a queuing policy based on the Best Effort model, which employs the first-in-first-out (FIFO) scheduling rule to prioritize web requests in a single queue. This model does not provide Quality of Service (QoS). In the Differentiated Services (DiffServ) model, separate queues are introduced to differentiate QoS for separate web requests with different priorities. This paper presents web server QoS models that use a single queue, along with scheduling rules from production planning in the manufacturing domain, to differentiate QoS for classes of web service requests with different priorities. These scheduling rules are Weighted Shortest Processing Time (WSPT), Apparent Tardiness Cost (ATC), and Earliest Due Date. We conduct simulation experiments and compare the QoS performance of these scheduling rules with the FIFO scheme used in the basic Best Effort model with only one queue, and the basic DiffServ model with two separate queues. Simulation results demonstrate better QoS performance using WSPT and ATC, especially when requested services exceed the capacity of a web server. (C) 2003 Elsevier Ltd. All rights reserved.
The evolving needs of conducting commerce using the Internet requires more than just network quality of service mechanisms for differentiated services. Empirical evidence suggests that overloaded servers can have sign...
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The evolving needs of conducting commerce using the Internet requires more than just network quality of service mechanisms for differentiated services. Empirical evidence suggests that overloaded servers can have significant impact on user perceived response times. Furthermore, FIFO scheduling done by servers can eliminate any QoS improvements mode by network-differentiated services. Consequently, server QoS is a key component in delivering end to end predictable, stable, and tiered services to end users. This article describes our research and results for webQoS, an architecture for supporting server QoS. We demonstrate that through classification, admission control, and scheduling, we can support distinct performance levels For different classes of users and maintain predictable performance even when the server is subjected to a client request rate that is several times greater than the server's maximum processing rate.
web site scalability depends on several things, including workload characteristics, security mechanisms, and web cluster architectures. Another important item that can affect a site's performance and scalability i...
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web site scalability depends on several things, including workload characteristics, security mechanisms, and web cluster architectures. Another important item that can affect a site's performance and scalability is the web server software architecture. This column provides a classification of web server architectures, offers a quantitative analysis of some possible software architectural options, and discusses the importance of software contention on overall response time.
The advent of web technology has made web servers core elements of future communication networks. Although the amount of traffic that web servers must handle has grown explosively during the last decade, the performan...
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The advent of web technology has made web servers core elements of future communication networks. Although the amount of traffic that web servers must handle has grown explosively during the last decade, the performance limitations and the proper tuning of web servers are still not well understood. In this paper we present an end-to-end queueing model for the performance of web servers, encompassing the impacts of client workload characteristics, server harware/software configuration, communication protocols, and interconnect topologies. The model has been implemented in a simulation tool, and performance predictions based on the model are shown to match very well with the performance of a web server in a test lab environment. The simulation tool forms an excellent basis for development of a Decision Support System for the configuration tuning and sizing of web servers.
A novel locking protocol maintains data consistency in distributed and clustered file systems that are used as scalable infrastructure for web server farms.
A novel locking protocol maintains data consistency in distributed and clustered file systems that are used as scalable infrastructure for web server farms.
Background: Amplicon sequencing of marker genes such as 16S rDNA have been widely used to survey and characterize microbial community. However, the complex data analyses have required many interfering manual steps oft...
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Background: Amplicon sequencing of marker genes such as 16S rDNA have been widely used to survey and characterize microbial community. However, the complex data analyses have required many interfering manual steps often leading to inconsistencies in results. Results: Here, we have developed a pipeline, amplicon sequence analysis pipeline 2 (ASAP 2), to automate and glide through the processes without the usual manual inspections and user's interference, for instance, in the detection of barcode orientation, selection of high-quality region of reads, and determination of resampling depth and many more. The pipeline integrates all the analytical processes such as importing data, demultiplexing, summarizing read profiles, trimming quality, denoising, removing chimeric sequences and making the feature table among others. The pipeline accepts multiple file formats as input including multiplexed or demultiplexed, paired-end or single-end, barcode inside or outside and raw or intermediate data (e.g. feature table). The outputs include taxonomic classification, alpha/beta diversity, community composition, ordination analysis and statistical tests. ASAP 2 supports merging multiple sequencing runs which helps integrate and compare data from different sources (public databases and collaborators). Conclusions: Our pipeline minimizes hands-on interference and runs amplicon sequence variant (ASV)-based amplicon sequencing analysis automatically and consistently. Our web server assists researchers that have no access to high performance computer (HPC) or have limited bioinformatics skills. The pipeline and web server can be accessed at https://***/tianrenmaogithub/asap2 and https://***/asap2, respectively.
There is a strong trend toward embedding Internet capabilities into electronics and everyday appliances. In this article we introduce the results from a research project where we have been working toward implementing ...
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There is a strong trend toward embedding Internet capabilities into electronics and everyday appliances. In this article we introduce the results from a research project where we have been working toward implementing a functionally minimized web server on silicon. Although most embedded Internet appliances will use a microcontroller and software to enable TCP/IP and HTTP support, we argue that there are many applications where a hardware-based approach is more suitable. Our webChip approach is a family of IPv6-compatible solutions toward the realization of embedded and minimized web systems. The core parts of the implementation are a C-code library and VHDL code implementation. The solution is tested with an FPGA and can be later embedded into various ASIC chips. We argue that this approach is also commercially viable since the VHDL code can be delivered as an intellectual property block.
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