Data Acquisition System for a Handgun Dynamometer

Author(s):  
James M. Quill ◽  
M. Khosrowjerdi

Abstract In the fields of competition shooting and handgun engineering, it is highly desirable to be able to properly assess and measure handgun recoil. If recoil could be measured, it would be useful to the competition shooter in his continuous quest to evaluate modifications for his equipment and methods. The engineer would benefit since the results of measured testing would quantify the reaction forces present allowing proper stress analysis and the ability to calibrate FEA models. The objective of this project was to design and develop a device capable of measuring recoil forces on multiple independent axes. The device will respond and measure only on the axis the load is applied to. It was determined that the most cost effective way to meet the design specifications was to utilize strain gage based transducer technology. A custom multiple axes Dynamometer was designed, fabricated and interfaced with the Smith & Wesson CATS (Computer Aided Testing System) data collection system. The system was calibrated and tested with a model 4013TSW pistol and the results were graphed. The results showed peak values of 950 lb. for the horizontal recoil force, 125 ft-lb. for the recoil moment, and 24 ft-lb. for the rifling torque. Taking factors into consideration, these values are close to the expected values. The Dynamometer exhibited ringing at about 310 Hz. due to its natural frequency and required filtering to properly observe the load profile. When low-pass filtered at 100 Hz., the load profile stood out, but the amplitude was attenuated. The net result was that peak values were observed in the standard data, while the load profile and gun signature could be identified in the filtered data. The device was found to be useful for qualitative analysis, but was deemed inadequate for impact and high frequency applications. The Dynamometer could be improved with efforts made to raise the natural frequency and advanced filtering techniques.

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Mehta ◽  
S Niklitschek ◽  
F Fernandez ◽  
C Villagran ◽  
J Avila ◽  
...  

Abstract Background EKG interpretation is slowly transitioning to a physician-free, Artificial Intelligence (AI)-driven endeavor. Our continued efforts to innovate follow a carefully laid stepwise approach, as follows: 1) Create an AI algorithm that accurately identifies STEMI against non-STEMI using a 12-lead EKG; 2) Challenging said algorithm by including different EKG diagnosis to the previous experiment, and now 3) To further validate the accuracy and reliability of our algorithm while also improving performance in a prehospital and hospital settings. Purpose To provide an accurate, reliable, and cost-effective tool for STEMI detection with the potential to redirect human resources into other clinically relevant tasks and save the need for human resources. Methods Database: EKG records obtained from Latin America Telemedicine Infarct Network (Mexico, Colombia, Argentina, and Brazil) from April 2014 to December 2019. Dataset: A total of 11,567 12-lead EKG records of 10-seconds length with sampling frequency of 500 [Hz], including the following balanced classes: unconfirmed and angiographically confirmed STEMI, branch blocks, non-specific ST-T abnormalities, normal and abnormal (200+ CPT codes, excluding the ones included in other classes). The label of each record was manually checked by cardiologists to ensure precision (Ground truth). Pre-processing: The first and last 250 samples were discarded as they may contain a standardization pulse. An order 5 digital low pass filter with a 35 Hz cut-off was applied. For each record, the mean was subtracted to each individual lead. Classification: The determined classes were STEMI (STEMI in different locations of the myocardium – anterior, inferior and lateral); Not-STEMI (A combination of randomly sampled normal, branch blocks, non-specific ST-T abnormalities and abnormal records – 25% of each subclass). Training & Testing: A 1-D Convolutional Neural Network was trained and tested with a dataset proportion of 90/10; respectively. The last dense layer outputs a probability for each record of being STEMI or Not-STEMI. Additional testing was performed with a subset of the original dataset of angiographically confirmed STEMI. Results See Figure Attached – Preliminary STEMI Dataset Accuracy: 96.4%; Sensitivity: 95.3%; Specificity: 97.4% – Confirmed STEMI Dataset: Accuracy: 97.6%; Sensitivity: 98.1%; Specificity: 97.2%. Conclusions Our results remain consistent with our previous experience. By further increasing the amount and complexity of the data, the performance of the model improves. Future implementations of this technology in clinical settings look promising, not only in performing swift screening and diagnostic steps but also partaking in complex STEMI management triage. Funding Acknowledgement Type of funding source: None


Author(s):  
S. A. Nayfeh ◽  
A. H. Nayfeh

Abstract We study the response of a single-degree-of-freedom system with cubic nonlinearities to an amplitude-modulated excitation whose carrier frequency is much higher than the natural frequency of the system. The only restriction on the amplitude modulation is that it contain frequencies much lower than the carrier frequency of the excitation. We apply the theory to different types of amplitude modulation and find that resonant excitation of the system may occur under some conditions.


1993 ◽  
Vol 47 (4) ◽  
pp. 489-500 ◽  
Author(s):  
J. F. Power ◽  
M. C. Prystay

Homodyne photothermal spectrometry (HPS) is a very wide bandwidth signal recovery technique which uses many of the elements of lock-in detection at very low cost. The method uses a frequency sweep, with a high-frequency bandwidth of up to 10 MHz, to excite a linear photothermal system. The response sweep of the photothermal system is downshifted into a bandwidth of a few kilohertz by means of in-phase mixing with the excitation sweep with the use of a four-quadrant double-balanced mixer and a low-pass filter. Under conditions derived from theory, the filter output gives a good approximation to the real part of the photothermal system's frequency response, dispersed as a function of time. From a recording of this signal, the frequency and impulse response of the photothermal system are rapidly recovered at very high resolution. The method has been tested with the use of laser photopyroelectric effect spectrometry and provides an inexpensive, convenient method for the recovery of high-frequency photothermal signals.


2021 ◽  
Author(s):  
Eszter Lakatos ◽  
Helen Hockings ◽  
Maximilian Mossner ◽  
Michelle Lockley ◽  
Trevor A. Graham

AbstractCell-free DNA (cfDNA) measured via liquid biopsies provides a way for minimally-invasive monitoring of tumour evolutionary dynamics during therapy. Here we present liquidCNA, a method to track subclonal evolution from longitudinally collected cfDNA samples based on somatic copy number alterations (SCNAs). LiquidCNA utilises SCNA profiles derived through cost-effective low-pass whole genome sequencing to automatically and simultaneously genotype and quantify the size of the dominant subclone without requiring prior knowledge of the genetic identity of the emerging clone. We demonstrate the accuracy of liquidCNA in synthetically generated sample sets and in vitro and in silico mixtures of cancer cell lines. Application in vivo in patients with metastatic lung cancer reveals the progressive emergence of a novel tumour sub-population. LiquidCNA is straightforward to use, computationally inexpensive and enables continuous monitoring of subclonal evolution to understand and control therapy-induced resistance.


2021 ◽  
Author(s):  
Adéla Nosková ◽  
Meenu Bhati ◽  
Naveen Kumar Kadri ◽  
Danang Crysnanto ◽  
Stefan Neuenschwander ◽  
...  

Abstract Background The key-ancestor approach has been frequently applied to prioritize individuals for whole-genome sequencing based on their marginal genetic contribution to current populations. Using this approach, we selected 70 key ancestors from two lines of the Swiss Large White breed that have been selected divergently for fertility and fattening traits and sequenced their genomes with short paired-end reads. Results Using pedigree records, we estimated the effective population size of the dam and sire line to 72 and 44, respectively. In order to assess sequence variation in both lines, we sequenced the genomes of 70 boars at an average coverage of 16.69-fold. The boars explained 87.95 and 95.35% of the genetic diversity of the breeding populations of the dam and sire line, respectively. Reference-guided variant discovery using the GATK revealed 26,862,369 polymorphic sites. Principal component, admixture and FST analyses indicated considerable genetic differentiation between the lines. Genomic inbreeding quantified using runs of homozygosity was higher in the sire than dam line (0.28 vs 0.26). Using two complementary approaches (CLR and iHS), we detected 51 signatures of selection. However, only six signatures of selection overlapped between both lines. We used the sequenced haplotypes of the 70 key ancestors as a reference panel to call 22,618,811 genotypes in 175 pigs that had been sequenced at very low coverage (1.11-fold) using GLIMPSE. The genotype concordance, non-reference sensitivity and non-reference discrepancy between thus inferred and Illumina PorcineSNP60 BeadChip-called genotypes was 97.60, 98.73 and 3.24%, respectively. The low-pass sequencing-derived genomic relationship coefficients were highly correlated (r > 0.99) with those obtained from microarray genotyping. Conclusions We assessed genetic diversity within and between two lines of the Swiss Large White pig breed. Our analyses revealed considerable differentiation, even though the split into two populations occurred only few generations ago. The sequenced haplotypes of the key ancestor animals enabled us to implement genotyping by low-pass sequencing which offers an intriguing cost-effective approach to increase the variant density over current array-based genotyping by more than 350-fold.


COVID ◽  
2021 ◽  
Vol 1 (4) ◽  
pp. 717-727
Author(s):  
Parastoo Kheiroddin ◽  
Magdalena Gründl ◽  
Michael Althammer ◽  
Patricia Schöberl ◽  
Linda Plail ◽  
...  

(1) Background: With vaccination and new variants of SARS-CoV-2 on the horizon, efficient testing in schools may enable prevention of mass infection outbreaks, keeping schools safe places and buying time until decisions on feasibility and the necessity of vaccination in children and youth are made. We established, in the course of the WICOVIR (Where Is the COrona VIRus) study, that gargle-based pool-PCR testing offers a feasible, efficient, and safe testing system for schools in Germany when applied by central university laboratories. (2) Objectives: We evaluated whether this approach can be implemented in different rural and urban settings. (3) Methods: We assessed the arrangements required for successful implementation of the WICOVIR approach in a variety of settings in terms of transport logistics, data transfer and pre-existing laboratory set-up, as well as the time required to establish the set-up. (4) Results: We found that once regulatory issues have been overcome, all challenges pertaining to logistics, data transfer, and laboratory testing on different platforms can be solved within one month. Pooling and depooling of samples down to the individual test result were achievable within one working day in all settings. Local involvement of the community and decentralized set-ups were keys for success. (5) Conclusion: The WICOVIR gargle-based pool-PCR system is so robust and simple that it can be implemented within one month in all settings now or in future pandemics.


2021 ◽  
Vol 25 (7) ◽  
pp. 1271-1276
Author(s):  
A.H. Koroma ◽  
A. Mansaray ◽  
A. Sesay

Seven (7) communities living in and around the Kasewe forest reserved were sampled to assess the extent and causes of fuelwood collection from the reserved forest involving 50 individuals in stratified random technique with a view to evaluate the degree and reasons for fuelwood collection from the Kasewe reserved forest. Data obtained indicate a high frequency of fuelwood harvest in the forest throughout the year. The significant factors affecting such decisions were availability and accessibility, ensure fast cooking process, and cost-effective. In addition, fuelwood activities were intensive throughout the year but peaks late dry season. Hence 48 (96%) of respondents stated forest degradation as one of the significant threats posed by fuelwood collectors to the forest. The study indicates that 100% of the collector are unemployed this was mainly the reason why residents of those communities collect fuelwood from the reserved forest. However, this study concluded that fuelwood collectors were selective over the kind of species they harvest, but the preferred species were not replanted. Fuelwood in the study area is not restricted to domestic use as it is also sold to augment local income. The sale of fuelwood is probably the biggest threat to sustainable utilization of fuelwood and the forest. Therefore, this study recommends that alternatives sources of livelihood and energy be created, among other recommendations for resident communities that will reduce the frequency of harvest from the forest.


2018 ◽  
Vol 2018 (1) ◽  
pp. 000384-000388
Author(s):  
Brian Curran ◽  
Jacob Reyes ◽  
Christian Tschoban ◽  
Ivan Ndip ◽  
Klaus-Dieter Lang ◽  
...  

Abstract Increasing demand for high bandwidth wireless satellite connections and telecommunications has resulted in interest in steerable antenna arrays in the GHz frequency range. These applications require cost-effective integration technologies for high frequency and high power integrated circuits (ICs) using GaAs, for example. In this paper, an integration platform is proposed, that enables GaAs ICs to be directly placed on a copper core inside cavities of a high frequency laminate for optimal cooling purposes. The platform is used to integrate a K-Band receiver front-end, composed of four GaAs ICs, with linear IF output power for input powers above −40dBm and a temperature of 42°C during operation.


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