A Target-Lighted dsDNA-Indicator for High-Performance Monitoring of Mercury Pollution and Its Antagonists Screening

2017 ◽  
Vol 51 (20) ◽  
pp. 11884-11890 ◽  
Author(s):  
Zhihe Qing ◽  
Lixuan Zhu ◽  
Xiaoxuan Li ◽  
Sheng Yang ◽  
Zhen Zou ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Monitoring ◽  
Mercury Pollution

scholarly journals Protection of Service-Oriented Environments Serving Critical Infrastructures

Inventions ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 62
Author(s):  
Dimosthenis Kyriazis
Keyword(s):  
Decision Making ◽  
High Performance ◽  
Performance Monitoring ◽  
Critical Infrastructure ◽  
Failure Detection ◽  
False Positives ◽  
Edge Computing ◽  
Monitoring Data ◽  
Critical Infrastructures ◽  
Service Oriented

The emergence of service-oriented architectures has driven the shift towards a service-oriented paradigm, which has been adopted in several application domains. The advent of cloud computing facilities and recently of edge computing environments has increased the aforementioned paradigm shift towards service provisioning. In this context, various “traditional” critical infrastructure components have turned to services, being deployed and managed on top of cloud and edge computing infrastructures. However, the latter poses a specific challenge: the services of the critical infrastructures within and across application verticals/domains (e.g., transportation, health, industrial venues, etc.) need to be continuously available with near-zero downtime. In this context, this paper presents an approach for high-performance monitoring and failure detection of critical infrastructure services that are deployed in virtualized environments. The failure detection framework consists of distributed agents (i.e., monitoring services) to ensure timely collection of monitoring data, while it is enhanced with a voting algorithm to minimize the case of false positives. The goal of the proposed approach is to detect failures in datacenters that support critical infrastructures by targeting both the acquisition of monitoring data in a performant way and the minimization of false positives in terms of potential failure detection. The specific approach is the baseline towards decision making and triggering of actions in runtime to ensure service high availability, given that it provides the required data for decision making on time with high accuracy.

Recent Experience with High-Performance Concrete Jointless Bridges in Tennessee

2003 ◽  
Vol 1845 (1) ◽  
pp. 104-114
Author(s):  
David J. Knickerbocker ◽  
Prodyot K. Basu ◽  
Mark A. Holloran ◽  
Edward P. Wasserman
Keyword(s):  
High Performance ◽  
Performance Monitoring ◽  
High Performance Concrete ◽  
Thermal Response ◽  
Load Test ◽  
Recent Experience ◽  
Load Testing ◽  
Codes Of Practice ◽  
Jointless Bridges ◽  
Live Load Testing

Experimental and analytical studies of two high-performance concrete (HPC) jointless bridges with integral abutments built in Tennessee as part of the FHWA’s nationwide initiative to implement HPC in bridge structures are presented. Performance of the two bridges is observed through all stages of construction and service to date, via material testing, bridge instrumentation for both short- and long-term performance monitoring, and live-load testing. The up-to-date observed performance of the bridges reveals the success of such bridge construction. Local contractors were found to be capable of producing concrete to meet increased requirements in strength and durability parameters. In addition, new insights were derived about HPC behavior in such applications, identifying the areas requiring updating of current practice. Load test data revealed that load distribution among the girders is in marked difference from codes of practice. Thermal response of the bridges indicated longitudinal flexibility offered by the jointless construction.

Improving high lean team performance through aligned behaviour-value patterns and coactive vicarious learning-by-doing

2021 ◽  
Vol 41 (13) ◽  
pp. 65-99
Author(s):  
Desirée H van Dun ◽  
Celeste P.M. Wilderom
Keyword(s):  
Team Performance ◽  
High Performance ◽  
Performance Monitoring ◽  
Participant Observation ◽  
Learning By Doing ◽  
Coarse Grained ◽  
Vicarious Learning ◽  
Content Type ◽  
High Performing ◽  
Over Time

PurposeWhy are some lean workfloor teams able to improve their already high performance, over time, and others not? By studying teams' and leaders' behaviour-value patterns, this abductive field study uncovers a dynamic capability at the team level.Design/methodology/approachVarious methods were employed over three consecutive years to thoroughly examine five initially high-performing lean workfloor teams, including their leaders. These methods encompassed micro-behavioural coding of 59 h of film footage, surveys, individual and group interviews, participant observation and archival data, involving objective and perceptual team-performance indicators. Two of the five teams continued to improve and perform highly.FindingsContinuously improving high lean team performance is found to be associated with (1) team behaviours such as frequent performance monitoring, information sharing, peer support and process improvement; (2) team leaders who balance, over time, task- and relations-oriented behaviours; (3) higher-level leaders who keep offering the team face-to-face support, strategic clarity and tangible resources; (4) these three actors' endorsement of self-transcendence and openness-to-change work values and alignment, over time, with their behaviours; and (5) coactive vicarious learning-by-doing as a “stable collective activity pattern” among team, team leader, and higher-level leadership.Originality/valueSince lean has been undertheorised, the authors invoked insights from organisational behaviour and management theories, in combination with various fine- and coarse-grained data, over time. The authors uncovered actors' behaviour-value patterns and a collective learning-by-doing pattern that may explain continuous lean team performance improvement. Four theory-enriching propositions were developed and visualised in a refined model which may already benefit lean practitioners.

RaftLib: A C++ template library for high performance stream parallel processing

2016 ◽  
Vol 31 (5) ◽  
pp. 391-404 ◽  
Author(s):  
Jonathan C Beard ◽  
Peng Li ◽  
Roger D Chamberlain
Keyword(s):  
High Performance ◽  
Performance Monitoring ◽  
Stream Processing ◽  
Automatic Parallelization ◽  
Optimization Techniques ◽  
Streaming Data ◽  
Great Promise ◽  
Full Spectrum ◽  
Legacy Code ◽  
Template Library

Stream processing is a compute paradigm that has been around for decades, yet until recently has failed to garner the same attention as other mainstream languages and libraries (e.g. C++, OpenMP, MPI). Stream processing has great promise: the ability to safely exploit extreme levels of parallelism to process huge volumes of streaming data. There have been many implementations, both libraries and full languages. The full languages implicitly assume that the streaming paradigm cannot be fully exploited in legacy languages, while library approaches are often preferred for being integrable with the vast expanse of extant legacy code. Libraries, however are often criticized for yielding to the shape of their respective languages. RaftLib aims to fully exploit the stream processing paradigm, enabling a full spectrum of streaming graph optimizations, while providing a platform for the exploration of integrability with legacy C/C++ code. RaftLib is built as a C++ template library, enabling programmers to utilize the robust C++ standard library, and other legacy code, along with RaftLib’s parallelization framework. RaftLib supports several online optimization techniques: dynamic queue optimization, automatic parallelization, and real-time low overhead performance monitoring.

Design of Advanced High Performance Bus Tracer in System on Chip Using Matrix Based Compression for Low Power Applications

2020 ◽  
Vol 17 (4) ◽  
pp. 1852-1856
Author(s):  
P. Bhuvaneshwari ◽  
T. R. Jaya Chandra Lekha
Keyword(s):  
Low Power ◽  
High Performance ◽  
Performance Monitoring ◽  
Low Cost ◽  
System On Chip ◽  
Consumer Electronics ◽  
Compression Scheme ◽  
Control Signals ◽  
And Performance ◽  
On Chip

This project proposes multilayer advanced high-performance bus architecture for low power applications. The proposed AHB architecture consists of the bus arbiter and the bus tracer (A.R.M.A., 1999. Specification (Rev 2.0) ARM IHI0011A). The bus arbiter, which is self motivated selects the input packet based on the control signals of the incoming packet. So that arbitration leads to a maximum performance. The On-Chip bus is an important system-on-chip infrastructure that connects major hardware components. Monitoring the on-chip bus signals is crucial to the SoC debugging and performance analysis/optimization (Gu, R.T., et al., 2007. A Low Cost Tile-Based 3D Graphics Full Pipeline with Real-Time Performance Monitoring Support for OpenGL ES in Consumer Electronics. 2007 IEEE International Symposium on Consumer Electronics, June; IEEE. pp.1–6). But, such signals are difficult to observe since they are deeply embedded in a SoC and there are often no sufficient I/O pins to access these signals. Therefore, a straightforward approach is to embed a bus tracer in SoC to capture the bus signal trace and store the trace in on-chip storage such as the trace memory which could then be off loaded to outside world for analysis. The bus tracer is capable of capturing the bus trace with different resolutions, all with efficient built in compression mechanisms such as dictionary based compression scheme for address and control signals and differential compression scheme for data. To improve the compression ratio matrix based compression which is lossless compression is used instead of differential compression. This system is designed using Verilog HDL, simulated using Modelsim and synthesized using Xilinx software.

scholarly journals Construction and Performance Monitoring of Innovative Ultra-High-Performance Concrete Bridge

2021 ◽  
Vol 6 (9) ◽  
pp. 121
Author(s):  
Haena Kim ◽  
Byungkyu Moon ◽  
Xinyu Hu ◽  
Hosin (David) Lee ◽  
Gum-Sung Ryu ◽  
...  
Keyword(s):  
High Performance ◽  
Performance Monitoring ◽  
Load Transfer ◽  
High Performance Concrete ◽  
Steel Fibers ◽  
Ultra High Performance Concrete ◽  
The Us ◽  
And Performance ◽  
Strength And Durability ◽  
Ready Mix Concrete

The application of Ultra-High-Performance Concrete (UHPC) materials in rehabilitating bridges and constructing primary bridge components is increasing rapidly across the world because of their superior strength and durability characteristics when compared to regular concretes. However, there have been few new bridges constructed using UHPC materials with regular formworks, ready-mix trucks, and construction equipment. This paper presents a comprehensive report encompassing the design, construction, and performance monitoring of a new bridge constructed in Iowa using a unique UHPC technology that includes steel fibers of two different lengths embedded in the concrete. By using optimized lengths of steel fibers, both the tensile strength and the toughness were increased. The UHPC material was produced with local cement and aggregates in the US using typical ready-mix concrete equipment. This paper discusses the experience gained from the design and construction process including mix design, batching, delivery of steel fibers to the ready-mix concrete batch unit, and post-tensioning of precast slabs at the jobsite. For four years after construction, the joints of the bridge decks were monitored using strain sensors mounted on both sides of the deck joints. The strain values were quite similar between the two sides of each joint, indicating a good load transfer between precast bridge girders. A bridge was successfully constructed using a unique UHPC technology incorporating two different lengths of steel fibers and utilizing local cement and aggregates and a ready-mix truck, and has been performing satisfactorily with a good load transfer across post-tensioned precast girder joints.

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