Modeling for a System Operating Characteristic for Wide Area Mines

2013 ◽  
Vol 717 ◽  
pp. 598-602
Author(s):  
Ying Jiao Rong ◽  
Ping Sun ◽  
Shan Shan Li

Traditional landmines are limited in their attack range and information providing ability. There are currently several wide area search mines in the research and development phase to overcome these disadvantages. Progress on the individual technologies is promising, but there are insufficient analytical tools for evaluating the effectiveness of these concept mines. This paper examines some of the modeling aspects of wide area search mines with Autonomous Target Recognition (ATR) capability. The optimal employment of autonomous wide area search mines is addressed. The specific scenarios considered involve several mines searching a battle fields for targets in the presence of false targets. All relevant parameters are extracted from intelligence information, the sensor performance specification, and the vehicle performance specification. Analytic system effectiveness measures are derived using applied probability theory. Optimal schedules for controlling sensor threshold during a mission are derived. These schedules establish a system operating characteristic. An increase in system effectiveness is demonstrated when parameters are dynamically controlled during a mission.

Author(s):  
D. E. Becker

An efficient, robust, and widely-applicable technique is presented for computational synthesis of high-resolution, wide-area images of a specimen from a series of overlapping partial views. This technique can also be used to combine the results of various forms of image analysis, such as segmentation, automated cell counting, deblurring, and neuron tracing, to generate representations that are equivalent to processing the large wide-area image, rather than the individual partial views. This can be a first step towards quantitation of the higher-level tissue architecture. The computational approach overcomes mechanical limitations, such as hysterisis and backlash, of microscope stages. It also automates a procedure that is currently done manually. One application is the high-resolution visualization and/or quantitation of large batches of specimens that are much wider than the field of view of the microscope.The automated montage synthesis begins by computing a concise set of landmark points for each partial view. The type of landmarks used can vary greatly depending on the images of interest. In many cases, image analysis performed on each data set can provide useful landmarks. Even when no such “natural” landmarks are available, image processing can often provide useful landmarks.


Author(s):  
Bernardo Lopes ◽  
Allan Luz ◽  
Bruno Fontes ◽  
Isaac C Ramos ◽  
Fernando Correia ◽  
...  

ABSTRACT Purpose To compare and assess the ability of pressure-derived parameters and corneal deformation waveform signal-derived parameters of the ocular response analyzer (ORA) measurement to distinguish between keratoconus and normal eyes, and to develop a combined parameter to optimize the diagnosis of keratoconus. Materials and methods One hundred and seventy-seven eyes (177 patients) with keratoconus (group KC) and 205 normal eyes (205 patients; group N) were included. One eye from each subject was randomly selected for analysis. Patients underwent a complete clinical eye examination, corneal topography (Humphrey ATLAS), tomography (Pentacam Oculus) and biomechanical evaluations (ORA Reichert). Differences in the distributions between the groups were assessed using the Mann- Whitney test. The receiver operating characteristic (ROC) curve was used to identify cutoff points that maximized sensitivity and specificity in discriminating keratoconus from normal corneas. Logistic regression was used to identify a combined linear model (Fisher 1.0). Results Significant differences in all studied parameters were detected (p < 0.05), except for W2. For the corneal resistance factor (CRF): Area under the ROC curve (AUROC) 89.1%, sensitivity 81.36%, specificity 84.88%. For the p1area: AUROC 91.5%, sensitivity 87.1%, specificity 81.95%. Of the individual parameters, the highest predictive accuracy was for the Fisher 1.0, which represents the combination of all parameters (AUROC 95.5%, sensitivity 88.14%, specificity 93.17%). Conclusion Waveform-derived ORA parameters displayed greater accuracy than pressure-derived parameters for identifying keratoconus. Corneal hysteresis (CH) and CRF, a diagnostic linear model that combines different parameters, provided the greatest accuracy for differentiating keratoconus from normal corneas. How to cite this article Luz A, Fontes B, Ramos IC, Lopes B, Correia F, Schor P, Ambrósio R. Evaluation of Ocular Biomechanical Indices to Distinguish Normal from Keratoconus Eyes. Int J Kerat Ect Cor Dis 2012;1(3):145-150.


Author(s):  
Я. О. Бачинська ◽  
Т. Ю. Маркіна ◽  
І. О. Ликова ◽  
Л. П. Харченко

The problem of waste processing of synthetic polymers makes scientific society look for biodestructors that can digest them. Recently there have appeared some studies that claimed that caterpillars Galleria mellonella L. can influence the integrity of synthetic polymers. In terms of evolution, this species is related to beehives and can digest bee wax. The capability of this insect to digest polyethylene is still under issue. During the research, it was analyzed how the addition of polyethylene to the artificial nutrient medium affects the biological parameters of Pyralidae when cultured in the laboratory. It was shown that adding polyethylene to the standard nutrient medium in proportions of 1/4 та 1/3 does not influence the biological parameters of the species. The viability of caterpillars and chrysalides stays within the control framework. Adding polyethylene to the artificial nutrient medium in proportions of 1/2 leads to 23% lower viability during the pupa phase. The viability of chrysalides was within control framework and their individual fertility did not differ significantly. When the artificial nutrient medium contained 3/4 of polyethylene, the viability of chrysalides decreased significantly by 61%. Increasing the quantity of polyethylene in the artificial nutrient medium led to the extinguished viability which means polyethylene cannot be digested (processed). In this case, the experiment showed a delay in the development and the population reproduction was impossible. In addition to that, the individual fertility of females decreased 6 times if compared to the control group. The development phase under the conditions when the artificial nutrient medium contained ½ of polyethylene was 30 days longer than the development phase of the control group. The sex correlation in this research was 44 % of females and 56 % of males on average. As the results demonstrated the decrease of biological parameters of Galleria mellonella species when using polyethylene, we can assert that caterpillars do not digest polyethylene but in their digestive system, they have enzymes or bacteria that can influence the integrity of polyethylene.


2001 ◽  
Vol 74 (5) ◽  
pp. 803-813 ◽  
Author(s):  
Stephanie R. Shield ◽  
Ghebrehiwet N. Ghebremeskel ◽  
Cebron Hendrix

Abstract There is increased technological interest to use blends of various dissimilar elastomers in applications for which service, material availability, or cost of a single elastomer do not provide the necessary processing, vulcanizate, or economic properties. Properties of polyblends are sensitive to variations in the amounts of the individual polymers used. Therefore, there is a need for developing a variety of analytical tools that will enable the compounder to monitor the consistency of blend compositions. In this study, the feasibility of using pyrolysis-GC/MS and thermogravimetric analysis (TGA) to estimate the blend composition of SBR/NBR blends was investigated. Pyrolysis-GC/MS degradation products that are characteristic of each polymer were identified. The GC/MS peak areas were used to determine the blend composition. The blend compositions were estimated by TGA from the linear correlation between the polymer composition and the temperature required to pyrolyze a sample to a specific “% weight loss.” The results obtained by pyrolysis-GC/MS and TGA were compared to calculated blend ratios of SBR/NBR in order to estimate the accuracy of the test methods presented in this study.


Author(s):  
Munendra Tomar ◽  
Toby Fore ◽  
Marc Baumeister ◽  
Chris Yoxall ◽  
Thomas Beuker

The management of Stress Corrosion Cracking (SCC) represents one of the challenges for pipeline operating companies with pipelines potentially susceptible to SCC. In order to help better support the management of SCC, a graded performance specification for the high-resolution Electro-Magnetic Acoustical Transducer (EMAT) In-Line Inspection (ILI) technology is derived which provides higher levels of confidence for detection of crack-field anomalies with critical dimensions. This paper presents the process used to derive the graded performance values for the EMAT ILI technology with regard to SCC. The process covers the Probability of Detection (POD) and Probability of Identification (POI). A blind test was carried out to derive the graded performance specification. Test data set was compiled comprising EMAT data for several joints containing relevant anomalies and neighboring joints, some containing additional shallow SCC. These joints had been dug based on EMAT ILI data and all of the joints were evaluated with 360 degree Non-Destructive Examination (NDE) followed by destructive testing. For each target joint with relevant anomalies to be assessed, four additional joints were added in random order to generate a realistic density and distribution of anomalies. Furthermore, pipe joints with non-crack like anomalies, as well as pipe joints with mixed populations were included in the blind test data set to ensure a realistic feature population and to assess POI without side effects of a weighed feature population inside set of composed ILI data. The data set was then evaluated by multiple analysts and result from each analyst were evaluated and utilized to derive the POD and POI values for the graded specification. In addition, the full process of data analysis including team lead review was carried out for one of the analysts for comparison to the individual analyst results. Anomaly dimensions were compared against the true population to derive the POD and POI values. Furthermore, length and depth sizing performance was assessed.


Author(s):  
Claudia A. González-Cruz ◽  
Juan C. Jáuregui-Correa ◽  
Carlos S. López-Cajún ◽  
Mihir Sen

A complex system is composed of many interacting components, but the behavior of the system as a whole can be quite different from that of the individual components. An automobile is an example of a common mechanical system composed of a large number of individual components that are mechanically connected in some way and hence transmit vibrations to each other. This paper proposes a variety of inter-related analytical tools for the study of experimental data from such systems. In this work, experimental results of accelerometer data acquired at two locations in the automobile for two different kinds of tests are analyzed. One test is the response to impact on a stationary vehicle, and the other is the road-response to the vehicle being driven on a flat road at different speeds. Signals were processed via Fourier and wavelet transforms, cross-correlation coefficients were computed, and Hilbert transforms and Kuramoto order parameters were determined. A new parameter representing synchronization deficit is introduced. There is indeed some degree of synchronization that can be quantified between the accelerations measured at these two locations in the vehicle.


2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Nadia Conroy

Designing a Learning Analytics Dashboard for Twitter-Facilitated Teaching Considering the increasing use of Twitter for both formal and informal learning, the primary goal of this project is to design a Learning Analytics (LA) dashboard to support instructors’ evaluation of Twitter-based teaching. To achieve this goal, we conducted an online survey involving 54 higher education instructors who have used Twitter in their past teaching. The main purpose was to identify why instructors use Twitter and what types of analytics they would consider valuable. The results of the survey evidence that instructors use Twitter to help students engage with class material, promote discussion, and build learning communities. Instructors expressed interest in analytical tools to help them quantitatively and qualitatively interpret Twitter data. Coupled with an in-depth literature review in this area, we relied on the survey data to prototype a Learning Analytics dashboard (https://dashboard.socialmediadata.org/educhat). Our online dashboard uses a simple, easy-to-read interface in accordance with previous successful dashboard implementations. Graphical visualizations allow instructors to monitor discussion patterns, such as the frequency and times of posting. Visual content breakdowns by number of retweets, original posts, and topics in the form of hashtags and named entities reveal the constituents of students’ posts. The dashboard provides additional analysis in the form of sentiment and subjectivity ranking as a way to contextually aid qualitative assessment. To support instructors’ awareness of class participation, we incorporated two visualizations that highlight the most active users and individuals who are most frequently mentioned in others’ tweets. Instructors can use the dashboard to gauge the participation at the individual- or classroom-level, and further discover what topics and links students discuss and share on Twitter. Three instructors piloted the LA dashboard over a 4-month semester in the Fall of 2017. Following their use, we conducted evaluation interviews with these instructors. Instructor evaluations confirmed that the proposed design is aligned with their pedagogical needs; they favored an intuitive interface that combined summative metrics for the entire class and personalized assessment of individual students. Based on instructors’ feedback, our future work will iteratively refine the design by integrating additional interactive features to adjust time scales of the output, investigate source data, collect data from lists of Twitter users (as opposed to a single hashtag), and further integrate the dashboard with other LMS (Learning Management System) data.


2019 ◽  
Author(s):  
Alice Dauphin ◽  
J. Kevin O'Regan

Adults are capable of very fine motor skills whereas newborn babies’ motions are less accurately adjusted to the environment. It has been suggested that babies are sensitive to sensorimotor contingencies so they can acquire their body knowhow by gradually linking each body movement to its perceptual consequences. The research we pursued in the team is part of this theoretical framework. We use behavioural measurements to study how babies refine their body knowhow over time.During my internship, we studied arm differentiation in infants of age 6 months. An artificial contingency was established between the movements of one of the babies’ arms and the appearance of visual and auditory stimuli on both of their arms. My goal was to develop analytical tools to assess if babies detect the contingency (i.e. if they realize that they caused the occurrence of the stimuli). I tried to reproduce the probabilistic methodology developed by J. Watson in his experiments with 4month old babies. I could not obtain reliable results and so pursued my investigations. I adapted Watson’s analytical tools to create a binary indicator measuring the success of babies at the individual level. I showed that babies can differentiate between a situation where without doubt they have no control and a situation where they could be the cause of the stimulus. However, because babies who tried to test the contingency behaved similarly in both the test and the control group I can not ascertain that babies from the contingent group understood that they triggered the contingency.


2021 ◽  
Vol 37 (2) ◽  
pp. 1-26
Author(s):  
Shaila Sharmeen ◽  
Mohammad Tareq Hasan ◽  
SM Arif Mahmud

This article is concerned with the meaning of education for Santal and Munda communities, living in the Barind region. The aim of this paper is to document the narratives of Adivasis’ on education. What do they mean by education? What kind of situation did they experience in formal education? How they respond to the existing form of education. The article is written based on ethnographic material drawn from 8/9 months of frequent visit in the field of study. Data was collected by using semi-structured questionnaire, observation and participation. To Adivasis of Santal and Munda communities, education means to fight the mainstream society back, to act confidently, erase the stereotypical images they are labelled by the dominant group, and to get freedom from poverty; aspirations to overcome the conditions of graduated sovereignty and cultural politics. To consider the qualitative matter of social mobility, namely the aspiration in both the individual and community levels, the article proposes to look beyond the existing dominant analytical frame of educational access and exclusion. The analytical tools were developed following Appadurai’s concept of aspiration and Ong’s idea of graduated sovereignty. This article is a critical assessment of the marginal communities’ formal education and development and will contribute to ethnographic intervention in social anthropology and development studies, and contemporary debate on politics of education. Social Science Review, Vol. 37(2), Dec 2020 Page 1-26


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