scholarly journals Measurement of Dynamic Responses from Large Structural Tests by Analyzing Non-Synchronized Videos

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3520 ◽  
Author(s):  
Yang
Keyword(s):  
Image Analysis ◽  
Camera Calibration ◽  
Large Scale ◽  
Low Cost ◽  
Rapid Development ◽  
Video Recording ◽  
Dynamic Responses ◽  
Response Monitoring ◽  
Synchronization Method ◽  
Stereo Triangulation

Image analysis techniques have been employed to measure displacements, deformation, crack propagation, and structural health monitoring. With the rapid development and wide application of digital imaging technology, consumer digital cameras are commonly used for making such measurements because of their satisfactory imaging resolution, video recording capability, and relatively low cost. However, three-dimensional dynamic response monitoring and measurement on large-scale structures pose challenges of camera calibration and synchronization to image analysis. Without satisfactory camera position and orientation obtained from calibration and well-synchronized imaging, significant errors would occur in the dynamic responses during image analysis and stereo triangulation. This paper introduces two camera calibration approaches that are suitable for large-scale structural experiments, as well as a synchronization method to estimate the time difference between two cameras and further minimize the error of stereo triangulation. Two structural experiments are used to verify the calibration approaches and the synchronization method to acquire dynamic responses. The results demonstrate the performance and accuracy improvement by using the proposed methods.

scholarly journals Gloxinia—An Open-Source Sensing Platform to Monitor the Dynamic Responses of Plants

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3055
Author(s):  
Olivier Pieters ◽  
Tom De Swaef ◽  
Peter Lootens ◽  
Michiel Stock ◽  
Isabel Roldán-Ruiz ◽  
...  
Keyword(s):  
Open Source ◽  
Large Scale ◽  
Environmental Changes ◽  
Low Cost ◽  
Current Data ◽  
Dynamic Responses ◽  
Small Scale ◽  
Data Logging ◽  
Short Term ◽  
Sensing Platforms

The study of the dynamic responses of plants to short-term environmental changes is becoming increasingly important in basic plant science, phenotyping, breeding, crop management, and modelling. These short-term variations are crucial in plant adaptation to new environments and, consequently, in plant fitness and productivity. Scalable, versatile, accurate, and low-cost data-logging solutions are necessary to advance these fields and complement existing sensing platforms such as high-throughput phenotyping. However, current data logging and sensing platforms do not meet the requirements to monitor these responses. Therefore, a new modular data logging platform was designed, named Gloxinia. Different sensor boards are interconnected depending upon the needs, with the potential to scale to hundreds of sensors in a distributed sensor system. To demonstrate the architecture, two sensor boards were designed—one for single-ended measurements and one for lock-in amplifier based measurements, named Sylvatica and Planalta, respectively. To evaluate the performance of the system in small setups, a small-scale trial was conducted in a growth chamber. Expected plant dynamics were successfully captured, indicating proper operation of the system. Though a large scale trial was not performed, we expect the system to scale very well to larger setups. Additionally, the platform is open-source, enabling other users to easily build upon our work and perform application-specific optimisations.

scholarly journals Practices of Motivators in Adopting Agile Software Development at Large Scale Development Team from Management Perspective

Electronics ◽  
2021 ◽  
Vol 10 (19) ◽  
pp. 2341
Author(s):  
Rashid Ali Khan ◽  
Muhammad Faisal Abrar ◽  
Samad Baseer ◽  
Muhammad Faran Majeed ◽  
Muhammad Usman ◽  
...  
Keyword(s):  
Scale Development ◽  
Software Development ◽  
User Satisfaction ◽  
Large Scale ◽  
Low Cost ◽  
Rapid Development ◽  
Agile Software Development ◽  
Agile Development ◽  
Small Scale ◽  
Agile Software

Agile software development methodologies have become the most popular software development methods in the last few years. These methodologies facilitate rapid development. The low cost and prioritized user satisfaction make these methodologies more attractive. These methodologies were also intended for small scale developmental teams. Therefore, challenges were encountered when these methodologies were used in large-scale development teams. This study was based on the identification of factors which were discovered in our previous study. Some of the factors included “leadership strong commitment and team autonomy”, “cooperative organizational culture”, and “team competency—agile development expertise”. A total of 147 practices were identified in this study via a systematic literature review. These practices will help practitioners and project managers to adopt agile software methodologies and encourage them to the enhance them.

scholarly journals A Customizable Low-Cost System for Massively Parallel Zebrafish Behavioral Phenotyping

2021 ◽  
Vol 14 ◽  
Author(s):  
William Joo ◽  
Michael D. Vivian ◽  
Brett J. Graham ◽  
Edward R. Soucy ◽  
Summer B. Thyme
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Low Cost ◽  
Rapid Development ◽  
Aquatic Organisms ◽  
Behavioral Screening ◽  
Chemical Screening ◽  
Behavioral Phenotyping ◽  
Stimulus Response ◽  
Cost System

High-throughput behavioral phenotyping is critical to genetic or chemical screening approaches. Zebrafish larvae are amenable to high-throughput behavioral screening because of their rapid development, small size, and conserved vertebrate brain architecture. Existing commercial behavioral phenotyping systems are expensive and not easily modified for new assays. Here, we describe a modular, highly adaptable, and low-cost system. Along with detailed assembly and operation instructions, we provide data acquisition software and a robust, parallel analysis pipeline. We validate our approach by analyzing stimulus response profiles in larval zebrafish, confirming prepulse inhibition phenotypes of two previously isolated mutants, and highlighting best practices for growing larvae prior to behavioral testing. Our new design thus allows rapid construction and streamlined operation of many large-scale behavioral setups with minimal resources and fabrication expertise, with broad applications to other aquatic organisms.

The Analysis and Improvement on Shrunken Cause of Dome Roof Oil Tank in Winter

2011 ◽  
Vol 239-242 ◽  
pp. 1948-1951
Author(s):  
Lin Qi ◽  
Hong Zhao
Keyword(s):  
Crude Oil ◽  
Large Scale ◽  
Low Cost ◽  
Rapid Development ◽  
External Pressure ◽  
Production Equipment ◽  
Storage Device ◽  
Chemical Production ◽  
Transportation Equipment ◽  
Oil Tank

The causes that lead to the shrunken cause of dome roof oil tank were analyzed and some practical measures were offered for the prevention of this kind of shrunken, which is valuable about ensuring security of oil tank and protection of external pressure caused destruction in oil tank. With the rapid development of China's oil economy, increased dramatically the demand for large-scale storage and transportation equipment. In the refining and chemical production equipment, the vertical cylindrical steel dome tank is a widely used storage device, it is low cost, easy to operate. Mainly used for storing crude oil, diesel and some chemical products. Tank design pressure is lower, the tank wall, tank top, tank bottom are thinner, and it is easy depression because of large negative pressure inside the tank in the course. Therefore, the correct understanding of the reasons of depression and mastering tank preventive measures, security maintenance for the storage of equipment is very important. In this paper, a refinery in Harbin City, take the dome tank as an example of crude oil and analysis cause of their depression.

scholarly journals A Customizable Low-Cost System for Massively Parallel Zebrafish Behavior Phenotyping

2020 ◽  
Author(s):  
William Joo ◽  
Michael D. Vivian ◽  
Brett J. Graham ◽  
Edward R. Soucy ◽  
Summer B. Thyme
Keyword(s):  
High Throughput ◽  
Large Scale ◽  
Low Cost ◽  
Rapid Development ◽  
Aquatic Organisms ◽  
Behavioral Screening ◽  
Chemical Screening ◽  
Stimulus Response ◽  
Vertebrate Brain ◽  
Cost Behavior

AbstractHigh-throughput behavioral phenotyping is critical to genetic or chemical screening approaches. Zebrafish larvae are amenable to high-throughput behavioral screening because of their rapid development, small size, and conserved vertebrate brain architecture. Existing commercial behavior phenotyping systems are expensive and not easily modified for new assays. Here, we describe a modular, highly adaptable, and low-cost behavior system. Along with detailed assembly and operation instructions, we provide data acquisition software and a robust, parallel analysis pipeline. We validate our approach by analyzing stimulus response profiles in larval zebrafish, confirming prepulse inhibition phenotypes of two previously isolated mutants, and highlighting best practices for growing larvae prior to behavioral testing. Our new design thus allows rapid construction and streamlined operation of many large-scale behavioral setups with minimal resources and fabrication expertise, with broad applications to other aquatic organisms.

Capillarity-Driven Self-Assembly of Silver Nanowires-Coated Fibers for Flexible and Stretchable Conductor

NANO ◽  
2018 ◽  
Vol 13 (12) ◽  
pp. 1850146 ◽  
Author(s):  
Yi Li ◽  
Jun Chen ◽  
Xiao Han ◽  
Yinghui Li ◽  
Ziqiang Zhang ◽  
...  
Keyword(s):  
Self Assembly ◽  
Large Scale ◽  
Mechanical Stability ◽  
Silver Nanowires ◽  
Low Cost ◽  
Rapid Development ◽  
Assembly Method ◽  
Linear Resistance ◽  
Conductive Fibers ◽  
High Flexibility

The rapid development of smart textiles requires the large-scale fabrication of conductive fibers. In this study, we develop a simple, scalable and low-cost capillary-driven self-assembly method to prepare conductive fibers with uniform morphology, high conductivity and good mechanical strength. Fiber-shaped flexible and stretchable conductors are obtained by coating highly conductive and flexible silver nanowires (Ag NWs) on the surfaces of yarn and PDMS fibers through evaporation-induced flow and capillary-driven self-assembly, which is proven by the in situ optical microscopic observation. The density of Ag NWs and linear resistance of the conductive fibers could be regulated by tuning the assembly cycles. A linear resistance of 1.4[Formula: see text][Formula: see text]/cm could be achieved for the Ag NWs-coated nylon, which increases only 8% after 200 bending cycle, demonstrating high flexibility and mechanical stability. The flexible and stretchable conductive fibers have great potential for the application in wearable devices.

scholarly journals Precision Assessment of COVID-19 Phenotypes Using Large-Scale Clinic Visit Audio Recordings: Harnessing the Power of the Patient Voice (Preprint)

2020 ◽  
Author(s):  
Paul J Barr ◽  
James Ryan ◽  
Nicholas C Jacobson
Keyword(s):  
Machine Learning ◽  
Language Processing ◽  
Large Scale ◽  
Clinical Phenotype ◽  
Low Cost ◽  
Video Recording ◽  
Severe Infection ◽  
Patient Characteristics ◽  
Clinic Visit ◽  
Clinic Visits

UNSTRUCTURED The novel coronavirus (SARS-CoV-2) and its related disease, COVID-19, are exponentially increasing across the world, yet there is still uncertainty about the clinical phenotype. Natural Language Processing (NLP) and machine learning may hold one key to quickly identify individuals at high risk for COVID-19 and understand key symptoms in its clinical manifestation and presentation. In healthcare, such data often come the medical record, yet when overburdened, clinicians may focus on documenting widely reported symptoms that appear to confirm the diagnosis of COVID-19, at the expense of infrequently reported symptoms. A comprehensive record of the clinic visit is required—an audio recording may be the answer. If done at scale, a combination of data from the EHR and recordings of clinic visits can be used to power NLP and machine learning models, quickly creating a clinical phenotype of COVID-19. We propose the creation of a pipeline from the audio/video recording of clinic visits to the clinical symptomatology model and prediction of COVID-19 infection. With vast amounts of data available, we believe a prediction model can be quickly developed that could promote the accurate screening of individuals at risk of COVID-19 and identify patient characteristics predicting a greater risk of a more severe infection. If clinical encounters are recorded and our NLP is adequately refined, then benchtop-virology will be better informed and risk of spread reduced. While recordings of clinic visits are not the panacea to this pandemic, they are a low cost option with many potential benefits that have only just begun to be explored.

Technology for determining the speed of cars using a smartphone

2020 ◽  
Vol 25 (2) ◽  
pp. 31-40
Author(s):  
Sabelnikov P.Y. ◽  
◽  
Sabelnikov Y.A. ◽  
Keyword(s):  
Wireless Communication ◽  
Power Consumption ◽  
Large Scale ◽  
Low Cost ◽  
Video Recording ◽  
Vehicle Speed ◽  
Solar Panels ◽  
Video Cameras ◽  
Accuracy Of Measurements ◽  
Main Components

In the article the possibility of using a smartphone with an integrated set of necessary technical means (several video cameras, accelerometers, gyroscope, magnetometer, GPS sensor, GSM and Wi-Fi wireless communication) for implementing the technology of video recording of vehicle speed is investigated and established. The main algorithmic and software components of a smartphone are proposed, which allow to identify and to accompany a vehicle, as well as to determine its speed. Installation and initial setup of the device is simple. It is only necessary to measure and enter in the device height of its arrangement. In the article the possibility of using a smartphone with an integrated set of necessary technical means for implementing the technology of video recording of vehicle speed is investigated and established. The smartphone has a low cost and power consumption, the ability to operate in the required temperature range, as well as a set of physically built-in necessary technical means: several video cameras, accelerometers, gyroscope, magnetometer, GPS sensor, GSM and Wi-Fi wireless communication. Due to its low power consumption, it can also run on solar panels during the day when no other power source is available. The cost of a smartphone with very good characteristics does not exceed 10,000 UAH. The paper proposes the main components of the algorithmic support of the device. The use of the Lucas-Kanade method for the implementation of tracking and the calculation in the interpixel space of the coordinates of the points of the vehicle's trajectory will improve the accuracy of measurements of the traveled distance and the vehicle's speed on short sections of the trajectory. The proposed algorithm for calculating the vehicle speed requires entering only one parameter - the height of the device. Therefore, installation and initial setup of the device is simple. It is enough to measure and enter this parameter into the device. Large-scale introduction of a device for measuring vehicle speed, built on the basis of a smartphone, is possible due to relatively small investments in the development of its mechanical part, algorithmic and software.

An Assessment of a Low-Cost Wastewater Disposal System after Twenty-Five Years of Operation

1987 ◽  
Vol 19 (5-6) ◽  
pp. 701-710 ◽  
Author(s):  
B. L. Reidy ◽  
G. W. Samson
Keyword(s):  
Large Scale ◽  
Low Cost ◽  
Wastewater Disposal ◽  
Industrial Base ◽  
Industrial Wastewaters ◽  
The Past ◽  
Gasification Process ◽  
Appropriate Treatment ◽  
Environmentally Safe ◽  
Coal Resource

A low-cost wastewater disposal system was commissioned in 1959 to treat domestic and industrial wastewaters generated in the Latrobe River valley in the province of Gippsland, within the State of Victoria, Australia (Figure 1). The Latrobe Valley is the centre for large-scale generation of electricity and for the production of pulp and paper. In addition other industries have utilized the brown coal resource of the region e.g. gasification process and char production. Consequently, industrial wastewaters have been dominant in the disposal system for the past twenty-five years. The mixed industrial-domestic wastewaters were to be transported some eighty kilometres to be treated and disposed of by irrigation to land. Several important lessons have been learnt during twenty-five years of operating this system. Firstly the composition of the mixed waste stream has varied significantly with the passage of time and the development of the industrial base in the Valley, so that what was appropriate treatment in 1959 is not necessarily acceptable in 1985. Secondly the magnitude of adverse environmental impacts engendered by this low-cost disposal procedure was not imagined when the proposal was implemented. As a consequence, clean-up procedures which could remedy the adverse effects of twenty-five years of impact are likely to be costly. The question then may be asked - when the total costs including rehabilitation are considered, is there really a low-cost solution for environmentally safe disposal of complex wastewater streams?

scholarly journals Rapid, large-scale species discovery in hyperdiverse taxa using 1D MinION sequencing

BMC Biology ◽  
2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Amrita Srivathsan ◽  
Emily Hartop ◽  
Jayanthi Puniamoorthy ◽  
Wan Ting Lee ◽  
Sujatha Narayanan Kutty ◽  
...  
Keyword(s):  
Dna Sequences ◽  
Large Scale ◽  
Low Cost ◽  
Small Body ◽  
Small Subset ◽  
Similar Species ◽  
Large Species ◽  
Morphological Examination ◽  
Species Discovery ◽  
Short Period

Abstract Background More than 80% of all animal species remain unknown to science. Most of these species live in the tropics and belong to animal taxa that combine small body size with high specimen abundance and large species richness. For such clades, using morphology for species discovery is slow because large numbers of specimens must be sorted based on detailed microscopic investigations. Fortunately, species discovery could be greatly accelerated if DNA sequences could be used for sorting specimens to species. Morphological verification of such “molecular operational taxonomic units” (mOTUs) could then be based on dissection of a small subset of specimens. However, this approach requires cost-effective and low-tech DNA barcoding techniques because well-equipped, well-funded molecular laboratories are not readily available in many biodiverse countries. Results We here document how MinION sequencing can be used for large-scale species discovery in a specimen- and species-rich taxon like the hyperdiverse fly family Phoridae (Diptera). We sequenced 7059 specimens collected in a single Malaise trap in Kibale National Park, Uganda, over the short period of 8 weeks. We discovered > 650 species which exceeds the number of phorid species currently described for the entire Afrotropical region. The barcodes were obtained using an improved low-cost MinION pipeline that increased the barcoding capacity sevenfold from 500 to 3500 barcodes per flowcell. This was achieved by adopting 1D sequencing, resequencing weak amplicons on a used flowcell, and improving demultiplexing. Comparison with Illumina data revealed that the MinION barcodes were very accurate (99.99% accuracy, 0.46% Ns) and thus yielded very similar species units (match ratio 0.991). Morphological examination of 100 mOTUs also confirmed good congruence with morphology (93% of mOTUs; > 99% of specimens) and revealed that 90% of the putative species belong to the neglected, megadiverse genus Megaselia. We demonstrate for one Megaselia species how the molecular data can guide the description of a new species (Megaselia sepsioides sp. nov.). Conclusions We document that one field site in Africa can be home to an estimated 1000 species of phorids and speculate that the Afrotropical diversity could exceed 200,000 species. We furthermore conclude that low-cost MinION sequencers are very suitable for reliable, rapid, and large-scale species discovery in hyperdiverse taxa. MinION sequencing could quickly reveal the extent of the unknown diversity and is especially suitable for biodiverse countries with limited access to capital-intensive sequencing facilities.

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