Simple and cost effective wavelength setting and monitoring method using software-based wavelength estimation for WDM pluggable optical transceiver

2007 ◽  
Author(s):  
S. Kawai ◽  
N. Yoshimoto ◽  
K. Iwatsuki ◽  
T. Imai
Keyword(s):  
Cost Effective ◽  
Effective Wavelength ◽  
Monitoring Method

scholarly journals Cost effective wavelength reused MDM system for bidirectional mobile fronthaul

2016 ◽  
Vol 24 (20) ◽  
pp. 22413 ◽  
Author(s):  
Yuanxiang Chen ◽  
Juhao Li ◽  
Paikun Zhu ◽  
Huanfa Peng ◽  
Jinglong Zhu ◽  
...  
Keyword(s):  
Cost Effective ◽  
Effective Wavelength

Development of a New Methodology for Riser Deformed Shape Prediction/Monitoring

2018 ◽  
Author(s):  
Junho Choi ◽  
Joseph Moo-Hyun Kim
Keyword(s):  
Oil And Gas ◽  
Cost Effective ◽  
Evaluation Methods ◽  
Gas Production ◽  
Life Extension ◽  
Monitoring Method ◽  
Oil And Gas Production ◽  
Shape Prediction ◽  
Structural Evaluation ◽  
Service Life Extension

Ocean environmental conditions, such as waves, winds, and currents, are getting harsher due to climate change. This means that oil and gas production platforms in the ocean may experience unexpectedly large environmental loads bigger than previous design loads. Also, many platforms are reaching the end of their design lives. Ensuring riser integrity is one of the most important issues for platform safety and service-life extension. Currently, monitoring sensors are deployed on risers, and structural evaluation methods are utilized to examine riser integrity. However, there are some limitations to the structural evaluation methods. Furthermore, platform operators continue to seek for more direct and cost-effective riser monitoring method due to the low price of oil. In this study, the MultiSensor Fusion (MSF) system is proposed to surmount technical and economic obstacles in real-time riser-monitoring technology. The MSF system is validated for TLP (tension-leg platform) risers by using numerical sensors and numerical-simulation tools.

Evaluation of two relative-abundance indices to monitor brushtail possums in New Zealand

2004 ◽  
Vol 31 (4) ◽  
pp. 397 ◽  
Author(s):  
Bruce Warburton ◽  
Richard Barker ◽  
Morgan Coleman
Keyword(s):  
New Zealand ◽  
Cost Effective ◽  
Population Monitoring ◽  
Trap Catch ◽  
Monitoring Method ◽  
Main Method ◽  
Before And After ◽  
Radio Transmitters ◽  
Cost Effective Alternative ◽  
Relative Change

Population monitoring of brushtail possums (Trichosurus vulpecula) is an essential part of their management in New Zealand, with a trap-catch removal method being used most commonly. An alternative monitoring method (bait-interference), using bite marks on wax blocks, has been promoted as a more cost-effective alternative to using traps. However, neither of these methods has been validated. We assessed the utility of these two methods regarding their accuracy (unbiasedness and precision) in detecting changes in possum abundance by comparing the estimates of relative change in possum density following control obtained from both methods with the kill rate among radio-collared possums in the same study areas. In each of seven control operations, 48–50 possums were collared with mortality-sensing radio-transmitters, and trap-catch and wax-block lines were assessed before and after control. The correlation between trap-catch and radio-transmitter kill estimates (R2 = 0.91) suggests that trap catch, as currently used to monitor relative possum abundance, appears to be sufficiently accurate to manage these pests, with any bias being small. The kill estimates based on the wax-block monitoring were correlated less strongly with the radiotransmitter estimates than the trap-catch estimates (R2 = 0.66), although still significant. Until the extent of the potential bias in the wax-block estimates is known, we recommend that traps continue to be used as the main method to monitor possum abundance.

scholarly journals Smart Machine for Crack Detection of Railway Track using Photodiode Assembly

2019 ◽  
Vol 8 (12) ◽  
pp. 3679-3681
Keyword(s):  
Visual Inspection ◽  
Crack Detection ◽  
Ultrasonic Inspection ◽  
Cost Effective ◽  
Detection Algorithm ◽  
Railway Track ◽  
Monitoring Method ◽  
Robust Solution ◽  
Periodic Maintenance ◽  
Smart Machine

Most of the commercial goods are transported using railway trains and therefore, any problem in above network has the capacity to incur damage to the economy of that country. This model illustrates a cost effective yet robust solution to the issues related to railway crack detection. The project discusses the technical and design aspects in details alongside a better crack detection algorithm. The model also presents data related to all the components used in this system. The currently prevailing solution in the detection of cracks in rails involve periodic maintenance connected to occasional monitoring method like visual inspection, ultrasonic inspection, eddy current and laser methods

scholarly journals Learning to count: adapting population monitoring for Endangered huemul deer Hippocamelus bisulcus to meet conservation objectives

2020 ◽  
Author(s):  
Heiko Wittmer ◽  
P Corti ◽  
C Saucedo ◽  
J Galaz
Keyword(s):  
Survey Data ◽  
Survey Methods ◽  
Cost Effective ◽  
Population Monitoring ◽  
Population Trends ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Hippocamelus Bisulcus ◽  
Detection Probabilities ◽  
Current Survey

Considerable efforts have been invested in recent years to improve methods for both data collection and analyses required for population monitoring. Where historical or current estimates of population size are not adjusted for detection probabilities they may be too inaccurate to provide meaningful estimates of trends and thus monitoring methods need to be adapted. Here, we use data from the Endangered huemul deer Hippocamelus bisulcus to outline a framework to develop accurate robust estimates of detection probabilities that can be incorporated into new surveys in a cost-effective way and applied to existing survey data sets. In particular, by retroactively estimating detection probabilities for surveys of huemul, we show that current survey methods for huemul are inadequate to determine population trends reliably. Based on these results we propose a new monitoring method for the huemul and discuss the importance of estimating accuracies of historical survey data to ensure that changes in the abundance of the species reflect real population trends and are not an artefact of variation over time in the accuracy of survey data. © 2010 Fauna & Flora International.

scholarly journals Learning to count: adapting population monitoring for Endangered huemul deer Hippocamelus bisulcus to meet conservation objectives

2020 ◽  
Author(s):  
Heiko Wittmer ◽  
P Corti ◽  
C Saucedo ◽  
J Galaz
Keyword(s):  
Survey Data ◽  
Survey Methods ◽  
Cost Effective ◽  
Population Monitoring ◽  
Population Trends ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Hippocamelus Bisulcus ◽  
Detection Probabilities ◽  
Current Survey

Considerable efforts have been invested in recent years to improve methods for both data collection and analyses required for population monitoring. Where historical or current estimates of population size are not adjusted for detection probabilities they may be too inaccurate to provide meaningful estimates of trends and thus monitoring methods need to be adapted. Here, we use data from the Endangered huemul deer Hippocamelus bisulcus to outline a framework to develop accurate robust estimates of detection probabilities that can be incorporated into new surveys in a cost-effective way and applied to existing survey data sets. In particular, by retroactively estimating detection probabilities for surveys of huemul, we show that current survey methods for huemul are inadequate to determine population trends reliably. Based on these results we propose a new monitoring method for the huemul and discuss the importance of estimating accuracies of historical survey data to ensure that changes in the abundance of the species reflect real population trends and are not an artefact of variation over time in the accuracy of survey data. © 2010 Fauna & Flora International.

scholarly journals Simultaneous rapid detection of Hantaan virus and Seoul virus using RT-LAMP in rats

PeerJ ◽  
2019 ◽  
Vol 6 ◽  
pp. e6068 ◽  
Author(s):  
Xin Sui ◽  
Xu Zhang ◽  
Dongliang Fei ◽  
Zhen Zhang ◽  
Mingxiao Ma
Keyword(s):  
Rapid Detection ◽  
Hepatitis Virus ◽  
Lamp Assay ◽  
Cost Effective ◽  
Hemorrhagic Fever ◽  
Hantaan Virus ◽  
Rt Pcr ◽  
Monitoring Method ◽  
Clinical Specimens ◽  
Seoul Virus

Background Hemorrhagic fever with renal syndrome is in most cases caused by the Hantaan virus (HTNV) and Seoul virus (SEOV). To develop and apply reverse transcription loop-mediated isothermal amplification (RT-LAMP) to detect HTNV and SEOV simultaneously, which was faster, more cost effective, and easier to perform as the target gene amplified rapidly. In this article an assay based on LAMP is demonstrated, which only employs such apparatus as a water bath or a heat block. Methods A chromogenic method using the calcein/Mn2+ complex and real-time turbidity monitoring method were used to assess reaction progress of the reaction, and the specificity of the RT-LAMP-based assay was assessed by detecting cDNAs/cRNAs generated from Coxsackievirus A16, Influenza virus, lymphocytic choriomeningitis virus, mouse poxvirus, rotavirus, mouse hepatitis virus. In addition, 23 clinical specimens were used to determine the agreement between the RT-LAMP assay with reverse transcriptase polymerase chain reaction (RT-PCR) and immunofluorescence (IFT) method. Results The detection limit of RT-LAMP to HNTV and SEOV was as low as 10 copies/μL with optimized reaction conditions, which was much more sensitive than the RT-PCR method (100–1,000 copies/μL). At the same time, the detection results of 23 clinical specimens have also illustrated the agreement between this the RT-LAMP assay with RT-PCR and IFT. Discussion This RT-LAMP assay could be used to perform simultaneous and rapid detection of HTNV and SEOV to the clinical specimens.

scholarly journals Learning to count: adapting population monitoring for Endangered huemul deer Hippocamelus bisulcus to meet conservation objectives

Oryx ◽  
2010 ◽  
Vol 44 (4) ◽  
pp. 516-522 ◽  
Author(s):  
Heiko U. Wittmer ◽  
Paulo Corti ◽  
Cristián Saucedo ◽  
José Luis Galaz
Keyword(s):  
Survey Data ◽  
Survey Methods ◽  
Cost Effective ◽  
Population Monitoring ◽  
Population Trends ◽  
Monitoring Methods ◽  
Monitoring Method ◽  
Hippocamelus Bisulcus ◽  
Detection Probabilities ◽  
Current Survey

AbstractConsiderable efforts have been invested in recent years to improve methods for both data collection and analyses required for population monitoring. Where historical or current estimates of population size are not adjusted for detection probabilities they may be too inaccurate to provide meaningful estimates of trends and thus monitoring methods need to be adapted. Here, we use data from the Endangered huemul deer Hippocamelus bisulcus to outline a framework to develop accurate robust estimates of detection probabilities that can be incorporated into new surveys in a cost-effective way and applied to existing survey data sets. In particular, by retroactively estimating detection probabilities for surveys of huemul, we show that current survey methods for huemul are inadequate to determine population trends reliably. Based on these results we propose a new monitoring method for the huemul and discuss the importance of estimating accuracies of historical survey data to ensure that changes in the abundance of the species reflect real population trends and are not an artefact of variation over time in the accuracy of survey data.

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