Relevant bibliographies by topics / Statistical behavior of device

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Statistical behavior of device'

Author: Grafiati
Published: 28 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Statistical behavior of device"

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Lee, Jin-Pyo, and Yang-Sook Lee. "Structural Equation Model of Elementary School Students’ Quality of Life Related to Smart Devices Usage Based on PRECEDE Model." International Journal of Environmental Research and Public Health 18, no. 8 (April 18, 2021): 4301. http://dx.doi.org/10.3390/ijerph18084301.

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Korean elementary school students have the lowest life satisfaction levels among OECD countries. The use of smart devices has led to smartphone addiction, which seriously affects their quality of life. This study aims to establish and test variables that affect the quality of life (QOL) of elementary school students based on the Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation (PRECEDE) model, using smart device-related parental intervention, self-efficacy, social support, health promotion behaviors, family environment, smart device addiction, and QOL as measurement variables. Three elementary schools in the Republic of Korea completed self-report questionnaires. Descriptive statistical analysis and hypothetical model fit and test were used for data analysis. The model was found to be valid. Smart device addiction directly affected QOL. In contrast, health promotion behaviors, self-efficacy, social support, and smart device parental intervention indirectly affected QOL. Health-promoting behaviors also directly affected smart device addiction, self-efficacy, and family environment had a direct effect on health-promoting behavior. Therefore, to improve the QOL of elementary school students, the government should focus on developing programs that can help them actively perform health promotion activities and improve self-efficacy, social support, and parental intervention for smart devices that indirectly affect them.
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Zhang, Min, Jia Ying Wang, Liang Liang Liang, Bin Hu, and Wan Li Hu. "Research on Waste Tubes Recycling with Material Properties in Wuhan." Advanced Materials Research 951 (May 2014): 133–36. http://dx.doi.org/10.4028/www.scientific.net/amr.951.133.

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The theoretical framework of this research is Theory of Planned Behavior (TPB). And from personal profile, residual effect factors and attitudes to recycling, this research investigates the factors affecting residents’ behavior of recycling waste fluorescent tubes, the characteristics of the behavior and related preference. The survey data are collected by the means of questionnaires and their exploratory analysis is conducted by SPSS and Principal Component Analysis (PCA). The statistical result illustrates that the main factors affecting the behaviors are propaganda, enterprise, recycling device, stimulation and government. Based on the summary of research result, a recycling device used to recycle waste tubes in communities is designed to improve this research.
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CARUSELA, M. F., and L. ROMANELLI. "PHASE BEHAVIOR IN A RING OF STOCHASTIC OSCILLATORS." Advances in Complex Systems 11, no. 01 (February 2008): 55–64. http://dx.doi.org/10.1142/s0219525908001453.

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We analyze the phase response of a system shaped as a ring of overdamped bistable and noisy oscillators coupled directionally. This device, which operates in the regime of stochastic resonance, may act as a short-term memory device. In the present work we show that in this regime the system presents partial phase synchronization with an average frequency equal to the external one. For lower/greater values of noise the system becomes more/less ordered, which is characterized by a statistical measure.
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Pshehotskaya, Ekaterina, and Oleg Mikhalsky. "Theft Preventive Measures for Interconnected Personal Computer Devices as Proactive Physical Security of Data." International Journal of Embedded and Real-Time Communication Systems 9, no. 2 (July 2018): 97–110. http://dx.doi.org/10.4018/ijertcs.2018070107.

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This article is concerned with the arising problems and implications of physical security and privacy of personal and control data on portable computer devices, especially smartphones. The authors consider various classifications of portable computer devices, isolate smartphones as a most common device, and study types of user behavior regarding the involved security risks of unauthorized access to the data stored both locally and remotely with accent of physical data access via device theft. Based on provided categorization the researchers discuss the factors and criteria suitable to generalize user patterns and evaluate the corresponding vulnerability level against specified statistics. The considered statistical criteria can be formulated as a mathematical model of relative risks and implemented as a service or an application to be used for improving user awareness on current threats to his personal data and respective interconnected personal portable devices.
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Silva, Gisele Rodrigues da, Natércia Rezende da Silva, Paulo Vinícius Soares, Ana Rosa Costa, Alfredo Júlio Fernandes-Neto, and Carlos José Soares. "Influence of different load application devices on fracture resistance of restored premolars." Brazilian Dental Journal 23, no. 5 (October 2012): 484–89. http://dx.doi.org/10.1590/s0103-64402012000500003.

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This in vitro study analyzed the effect of different load application devices on fracture resistance and failure mode of maxillary premolars restored with composite resin. Sixty human maxillary premolars received standardized mesio-occluso-distal cavity preparations and were restored with composite resin. The specimens were randomly divided into 6 groups (n=10). Compressive loading was applied using 6 different metallic devices: S2: 2-mm sphere; S6: 6-mm sphere; C2: 2-mm cylinder; C6: 6-mm cylinder; WS: wedge shape device; and MAT: individualized metallic antagonist tooth. Data were analyzed statistically using one-way ANOVA and Tukey's test (α=0.05). The failure mode was recorded based on the 4 sequential levels. Statistical analysis revealed that WS presented significantly higher fracture resistance than S6 and C6. No significant difference was found among MAT, C2, S2 and S6. Sphere and cylinder with 6 mm were similar, with the lowest values of all groups. MAT presented the least number of catastrophic failures while C2, S2 and WS presented the highest. The type of load application device influences significantly the behavior of the teeth-restoration complex during mechanical fracture resistance test.
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Yaokumah, Winfred. "The Influence of Students' Characteristics on Mobile Device Security Measures." International Journal of Information Systems and Social Change 7, no. 3 (July 2016): 44–66. http://dx.doi.org/10.4018/ijissc.2016070104.

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This study aimed at investigating the influence of students' characteristics (majors, maturity, and gender) on mobile device security practices in the context of a developing country. Focusing on graduate and undergraduate students from both public and private universities, participants' characteristics were measured against three approaches of mobile devices security practices (user-behavior and activities, device settings, and disaster recovery). The sample consisted of 375 students from two public universities and three private university colleges. The results found that Technology and Engineering students differ statistically from Business and Arts students in terms of mobile device settings and disaster recovery practices. The undergraduate students were less engaged in risky activities with their devices compared with the graduate students. Moreover, the younger students were more cautious than the older students regarding user-behavior and device settings. Finally, female students were more negligent when it comes to setting the devices to militate against security threats.
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Mohun, Arwen. "On the Frontier of The Empire of Chance: Statistics, Accidents, and Risk in Industrializing America." Science in Context 18, no. 3 (September 2005): 337–57. http://dx.doi.org/10.1017/s0269889705000578.

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In The Empire of Chance, historians of science Gigerenzer et al. argue that statistical thinking has been “second to no other area of scientific endeavor” in its influence on “modern life and thought” (Gigerenzer et al. 1989, xiv-xv). This article describes how quantitative descriptions of risk associated with industrialization and technological change became part of the mentality of ordinary Americans. It explains why Americans began counting accidents, tells what kinds of accidents they counted and how they counted them, and shows how statistical representations of risk were used to justify prescriptions for public policy and individual behavior. On this frontier of the empire of chance, safety experts and self-styled “practical statisticians” were the principal colonizers. Distant from the centers of academic statistical science, they compromised rigorous scientific standards of methodology and accurate prediction in order to make convincing arguments outside their circles of expertise. To convey their point of view to audiences who were not literate in the field of statistics, they created a public language that conveyed statistical ideas through metaphors, graphic representations, and other rhetorical devices. They also engaged non-experts in collecting and analyzing data and, by the 1920s, even used quantitative self-measurement as a device to convince members of the public to alter their own risk-taking behaviors.
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Carvalho, Paulo Eduardo Guedes, Valdemir Muzulon dos Santos, Hassan Isber, and Flávio Augusto Cotrim-Ferreira. "Halogen light versus LED for bracket bonding: shear bond strength." Dental Press Journal of Orthodontics 18, no. 1 (February 2013): 31e1–31e6. http://dx.doi.org/10.1590/s2176-94512013000100007.

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INTRODUCTION: LED light-curing devices seek to provide a cold light activator which allows protocols of material polymerization with shorter duration. OBJECTIVE: The present study aimed to evaluate the shear bond strength of bracket bonding using three types of light-curing devices: One with halogen light (Optilight Plus - Gnatus) and two with LEDs (Optilight CL - Gnatus and Elipar Freelight - 3M/ESPE). RESULTS: Comparing the results by analysis of variance, the Gnatus LED device showed an inferior statistical behavior in relation to other light sources, when activated by a short time. But, when it was used for 40 seconds, the polymerization results were consistent with the other evaluated sources. The device with the best average performance was the halogen light, followed by the 3M/ESPE LED. CONCLUSION: It was concluded that the LEDs may be indicated in orthodontic practice, as long as a protocol is used for the application of light with the activation time of 40 seconds.
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MOLENKAMP, LAURENS W. "DEVICE CONCEPTS IN SEMICONDUCTOR SPINTRONICS." International Journal of Modern Physics B 22, no. 01n02 (January 20, 2008): 119. http://dx.doi.org/10.1142/s0217979208046207.

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Semiconductor spintronics has now reached a stage where the basic physical mechanisms controlling spin injection and detection are understood. Moreover, some critical technological issues involved in the growth and lithography of the magnetic semiconductors have been solved. This has allowed us to explore the physics of meanwhile quite complex spintronic devices. The lectures will start with an introduction to spin transport in metals and semiconductors. Building upon this, I will discuss various simple devices that demonstrate this basic physics in action. Subsequently, more advanced devices will be covered. For example, I will discuss resonant tunneling diodes (RTDs) fabricated from paramagnetic II-VI semiconductors that can be operated as a voltage controlled spin-switch. A quantum dot version of these RTDs exhibits, unexpectedly, remanent magnetism at zero external field, which we interpret as resulting from tunneling through a single magnetic polaron. In the ferromagnetic semiconductor ( Ga, Mn ) As we have observed a very large spin valve effect due to domain wall pinning at sub-10 nm sized constrictions. Furthermore, we have found a novel magnetoresistance effect in this material, dubbed tunnel anisotropic magnetoresistance (TAMR), which is due to the strongly (magneto-)anisotropic density of states in a ferromagnetic semiconductor. The effect leads to the observation of a spin valve-like behavior in tunnel structures containg a single ferromagnetic layer and also dominates the spin-valve signal obtained from structures containing two ( Ga, Mn ) As layers, where the effect may cause resistance changes of five orders of magnitude. Note from Publisher: This article contains the abstract only.
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SHIMIZU, ICHIRO, NAOYA TADA, and KOSUKE NAKAYAMA. "THE INFLUENCE OF STRAIN PATH ON BIAXIAL COMPRESSIVE BEHAVIOR OF AZ31 MAGNESIUM ALLOY." International Journal of Modern Physics B 22, no. 31n32 (December 30, 2008): 5844–49. http://dx.doi.org/10.1142/s0217979208051261.

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The strain path dependence of the compressive flow behavior of cast AZ31 magnesium alloy was investigated. Biaxial compression tests with linear strain paths were conducted using a unique biaxial compression device. It was found that the equivalent stress-strain relations varied according to the strain paths. The work contour for linear strain paths was well described by the Logan-Hosford yield criterion. Biaxial compressions with abrupt strain path change were also carried out to investigate the influences of the prestrain amplitude and angular relation of the sequential strain paths on the flow behavior. Rapid increase in the equivalent stress was observed just after the abrupt strain path change. These specific flow behaviors were discussed with regard to the plastic anisotropy, which showed rapid evolution in the early stage of the biaxial compressions.
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Dissertations / Theses on the topic "Statistical behavior of device"

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Eis, Pavel. "Datová sada pro klasifikaci síťových zařízení pomocí strojového učení." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2021. http://www.nusl.cz/ntk/nusl-445543.

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Automatic classification of devices in computer network can be used for detection of anomalies in a network and also it enables application of security policies per device type. The key to creating a device classifier is a quality data set, the public availability of which is low and the creation of a new data set is difficult. The aim of this work is to create a tool, that will enable automated annotation of the data set of network devices and to create a classifier of network devices that uses only basic data from network flows. The result of this work is a modular tool providing automated annotation of network devices using system ADiCT of Cesnet's association, search engines Shodan and Censys, information from PassiveDNS, TOR, WhoIs, geolocation database and information from blacklists. Based on the annotated data set are created several classifiers that classify network devices according to the services they use. The results of the work not only significantly simplify the process of creating new data sets of network devices, but also show a non-invasive approach to the classification of network devices.
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Kavianpour, Isfahani Zahra. "Statistical Analysis of Stormwater Device Testing Protocols in Portland, Oregon." PDXScholar, 2013. https://pdxscholar.library.pdx.edu/open_access_etds/676.

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Stormwater treatment is commonly performed with a combination of approaches including the utilization of natural systems and engineered devices. Before using a proprietary treatment instrument it is required to verify its performance and efficiency in reducing different pollution components including the TSS. Different states have developed strategies and regulations for accepting new instruments. In this thesis the stormwater management plan of the City of Portland, Oregon(2008), is analyzed in order to improve the current regulations. These rules apply to new technologies which are proposed by vendors to be used in Portland's stormwater treatment plans. Each requirement which should be met by the applying vendors is thoroughly analyzed followed by a comparison with the Stormwater management plan(2008)regulations of the state of Washington the so called Technology Assessment Plan-Ecology TAPE (Howie, 2011). Because of the similarities in the climate and land use between these two testing frameworks in order to evaluate the potential applicability of data submitted by vendors who had devices approved by Washington, to be utilized by Portland. The treatment of total suspended solids (TSS) is the focus of this thesis since it is central to the testing process and since most of the other pollutions are attached to TSS and will get treated if TSS is treated. The overall analysis shows that Portland adopts more restrictive requirements on the characterization of stormwater event samples to be treated by a technological instrument while Washington's restriction are more stringent on the efficiency of total suspended solid removal, in which it demands higher standards on the treatment of TSS compared to Portland's efficiency requirements. In order to study practical context in which regulations are administrated by Portland, rainfall data from 66 gauges covering the period of 1980-2011 was studied and the impacts of seasonality, land use, land form, periods of no rain before and after an event and Portland's Modified Performance line on the number of accepted rain events were analyzed. The results which were accepted by state of Washington were also compared with the results accepted by the city of Portland on Portland's Standard Performance line. Our seasonality study suggests that Portland's requirements are unnecessarily restrictive which results in the disqualification of many otherwise useful stormwater events, sometimes allowing no natural events to be available for testing in dry years. The analysis of land use showed that land use has no statistically significant impact on the concentration levels of TSS, thereby indicating that land use restrictions in the testing rules could be usefully relaxed. Decreasing the interevent no-rain period significantly increases the total number of events providing sufficient data to assess the performance of treatment facilities. We also showed that many more events become suitable for performance testing if events separated by one hours or less are considered a single, longer event. Finally we identified a statistical relationship between number of forecasted accepted stormwater events and the total average daily precipitation in a given year.
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Oltmans, Michael (Michael David) 1975. "Understanding naturally conveyed explanations of device behavior." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86620.

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Boyle, Linda T. Ng. "Statistical analyses of traffic advisory systems on driving behavior /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/10174.

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Chow, Fung-kiu, and 鄒鳳嬌. "Modeling the minority-seeking behavior in complex adaptive systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29367487.

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Uan-Zo-li, Julie Tammy. "Morphology, Crystallization and Melting Behavior of Propylene-Ethylene Statistical Copolymers." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/29143.

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In this work the morphology, crystallization and melting behavior of novel Dow Chemical propylene-ethylene copolymers were investigated. The incorporation of ethylene units into a polypropylene chain resulted in the decrease in crystallization, melting and glass transition temperatures and overall crystallinity. Based on the shape of heat capacity curves and the dependence of the melting temperature offset on ethylene content, it was concluded that copolymers prepared using different catalyst systems exhibited different ethylene sequence length distributions. The behavior of Dow Chemical propylene-ethylene copolymers was compared to that of copolymers prepared using traditional metallocene and Ziegler-Natta catalysts. The catalyst system used in the preparation of these new copolymers is similar to a metallocene catalyst system. It was demonstrated that ethylene defects are partially included in the polypropylene crystal. The thermodynamic heat of fusion at the equilibrium melting temperature decreased by 44% with an increase in ethylene concentration from 0 mol% to 21.2 mol%. On the basis of calorimetric and density data, the inclusion model based on the Sanchez-Eby crystallization theory was shown to be applicable for the evaluation of the degree of crystallinity. At the same time, inadequacies were found in application of the rigid amorphous fraction model to these copolymers. The formation of gamma-phase crystals was shown to be favored by both an increase in the ethylene content and a decrease in the crystallization rate. Increase in the ethylene content was shown to lead to a decrease in the density, length and thickness of alpha-phase crystals. It was also demonstrated that the cross-hatching morphology is present in all propylene-ethylene copolymers.
Ph. D.
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Maitani, Masato Allara David L. "Observation of molecular level behavior in molecular electronic junction device." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4517/index.html.

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Negahban, Arash. "Does Device Matter? Understanding How User, Device, and Usage Characteristics Influence Risky IT Behaviors of Individuals." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804895/.

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Over the past few years, there has been a skyrocketing growth in the use of mobile devices. Mobile devices are ushering in a new era of multi-platform media and a new paradigm of “being-always-connected”. The proliferation of mobile devices, the dramatic growth of cloud computing services, the availability of high-speed mobile internet, and the increase in the functionalities and network connectivity of mobile devices, have led to creation of a phenomenon called BYOD (Bring Your Own Device), which allows employees to connect their personal devices to corporate networks. BYOD is identified as one of the top ten technology trends in 2014 that can multiply the size of mobile workforce in organizations. However, it can also serve as a vehicle that transfers cyber security threats associated with personal mobile devices to the organizations. As BYOD opens the floodgates of various device types and platforms into organizations, identifying different sources of cyber security threats becomes indispensable. So far, there are no studies that investigated how user, device and usage characteristics affect individuals’ protective and risky IT behaviors. The goal of this dissertation is to expand the current literature in IS security by accounting for the roles of user, device, and usage characteristics in protective and risky IT behaviors of individuals. In this study, we extend the protection motivation theory by conceptualizing and measuring the risky IT behaviors of individuals and investigating how user, device, and usage characteristics along with the traditional protection motivation factors, influence individuals’ protective and risky IT behaviors. We collected data using an online survey. The results of our study show that individuals tend to engage in different levels of protective and risky IT behaviors on different types of devices. We also found that certain individual characteristics as well as the variety of applications that individuals use on their computing devices, influence their protective and risky IT behaviors.
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Kaplan, David Louis. "Characterizing chaos in a hybrid optically bistable device." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184440.

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Turbulence and periodic oscillations are easily seen with an optically bistable device with a delay in the feedback. The device is a hybrid, having both optical and electronic components. The details of the time-dependent output are investigated. In particular, as the input intensity is increased, the device output goes through a series of second-order nonequilibrium phase transitions or bifurcations. A truncated period-doubling sequence is observed prior to the onset of turbulence or chaos. The truncation is shown to be due to a noise-induced bifurcation gap. Within the chaotic regime, the device largely follows the reverse bifurcation scheme of Lorenz. In addition, there is a small domain of frequency-locked behavior that exists within the chaotic domain. These frequency-locked waveforms represent an alternate path to chaos. With the route to choas well understood, it remained to characterize the erratic motion itself. Dimension and correlation entropy are measured for various settings of our hybrid device. The measured dimension is found to be significantly less than dimensions consistent with a conjecture due to Kaplan and Yorke. The standard method of determining correlation entropy is shown to yield more than one value.
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Amer, Ahmed. "Statistical and Behavioral Modeling of Driver Behavior on Signalized Intersection Approaches." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/77995.

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The onset of a yellow indication is typically associated with the risk of vehicle crashes resulting from dilemma-zone and red-light-running problems. Such risk of vehicle crashes is greater for high-speed signalized intersection approaches. The research presented in this dissertation develops statistical as well as behavioral frameworks for modeling driver behavior while approaching high-speed signalized intersection approaches at the onset of a yellow indication. The analysis in this dissertation utilizes two sources of data. The main source is a new dataset that was collected as part of this research effort during the summer of 2008. This experiment includes two instructed speeds; 72.4 km/h (45 mph) with 1727 approaching trials (687 running and 1040 stopping), and 88.5 km/h (55 mph) with 1727 approaching trials (625 running and 1102 stopping). The complementary source is an existing dataset that was collected earlier in the spring of 2005 on the Virginia Smart Road facility. This dataset includes a total of 1186 yellow approaching trials (441 running and 745 stopping). The adopted analysis approach comprises four major parts that fulfill the objectives of this dissertation. The first part is concerned with the characterization of different driver behavioral attributes, including driver yellow/red light running behavior, driver stop-run decisions, driver perception-reaction times (PRT), and driver deceleration levels. The characterization of these attributes involves analysis of variance (ANOVA) and frequency distribution analyses, as well as the calibration of statistical models. The second part of the dissertation introduces a novel approach for computing the clearance interval duration that explicitly accounts for the reliability of the design (probability that drivers do not encounter a dilemma zone). Lookup tables are developed to assist practitioners in the design of yellow timings that reflects the stochastic nature of driver PRT and deceleration levels. An extension of the proposed approach is presented that can be integrated with the IntelliDriveSM initiative. Furthermore, the third part of the dissertation develops an agent-based Bayesian statistics approach to capture the stochastic nature of the driver stop-run decision. The Bayesian model parameters are calibrated using the Markov Chain Monte Carlo (MCMC) slice procedure implemented within the MATLAB® software. In addition, two procedures for the Bayesian model application are illustrated; namely Cascaded regression and Cholesky decomposition. Both procedures are demonstrated to produce replications that are consistent with the Bayesian model realizations, and capture the parameter correlations without the need to store the set of parameter realizations. The proposed Bayesian approach is ideal for modeling multi-agent systems in which each agent has its own unique set of parameters. Finally, the fourth part of the dissertation introduces and validates a state-of-the-art behavioral modeling framework that can be used as a tool to simulate driver behavior after the onset of a yellow indication until he/she reaches the intersection stop line. The behavioral model is able to track dilemma zone drivers and update the information available to them every time step until they reach a final decision. It is anticipated that this behavioral model will be implemented in microscopic traffic simulation software to enhance the modeling of driver behavior as they approach signalized intersections.
Ph. D.
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Books on the topic "Statistical behavior of device"

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Nash, Franklin R. Estimating device reliability: Assessment of credibility. Boston: Kluwer Academic Publishers, 1993.

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S, Subramanian, and Subramanian S. The deprivation distribution profile: A graphical device for comparing alternative regimes of multidimensional poverty. Chennai: Madras Institute of Development Studies, 2009.

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Chaos, scattering, and statistical mechanics. Cambridge, U.K: Cambridge University Press, 1998.

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Mendoza, Meyra Sebello. Pricing behavior in Philippine corn markets: Implications for market efficiency. Washington, D.C: International Food Policy Research Institute, 1995.

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Center for the Study of Language and Information (U.S.), ed. Postverbal behavior. Stanford, Calif: CSLI, 2002.

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An introduction to chaos in nonequilibrium statistical mechanics. Cambridge: Cambridge University Press, 1999.

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J, Krupnick Alan, and Harrington Winston, eds. Rules in the making: A statistical analysis of regulatory agency behavior. Washington, D.C: Resources for the Future, 1986.

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Employee-driven systems for safe behavior: Integrating behavioral and statistical methodologies. New York: Van Nostrand Reinhold, 1995.

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Shahtahmasebi, Said. Conceptualizing behavior: A practical guide to data analysis. Hauppauge, N.Y: Nova Science Publishers, 2009.

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Shahtahmasebi, Said. Conceptualizing behavior: A practical guide to data analysis. Hauppauge, N.Y: Nova Science Publishers, 2009.

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Book chapters on the topic "Statistical behavior of device"

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Carney, Russell N. "Mnemonic Device." In Encyclopedia of Child Behavior and Development, 958–61. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-79061-9_1810.

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Yu, Zhiwen, and Zhu Wang. "Device-Free Behavior Recognition." In Human Behavior Analysis: Sensing and Understanding, 27–35. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2109-6_4.

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Møltoft, J. "Statistical Models for Device Reliability; An Overview." In Semiconductor Device Reliability, 107–25. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2482-6_6.

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Roy, Sisir. "Statistical Behavior of Microparticles." In Statistical Geometry and Applications to Microphysics and Cosmology, 19–57. Dordrecht: Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5230-3_2.

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Poling, Alan, Laura L. Methot, and Mark G. LeSage. "Statistical Analysis of Data." In Fundamentals of Behavior Analytic Research, 161–79. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1436-1_8.

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Sato, Takashi, and Hiromitsu Awano. "On-Chip Characterization of Statistical Device Degradation." In Circuit Design for Reliability, 69–92. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-4078-9_5.

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Dogan, Kadriye, and Ozlem Durmaz Incel. "Mobile Device Identification via User Behavior Analysis." In Communications in Computer and Information Science, 32–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27355-2_3.

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Okada, Akinori, and Hiroyuki Tsurumi. "Analyzing Consumers’ Behavior in Brand Switching." In Statistical Learning of Complex Data, 73–80. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21140-0_8.

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Aizenman, Michael. "Rigorous Studies of Critical Behavior II." In Statistical Physics and Dynamical Systems, 453–81. Boston, MA: Birkhäuser Boston, 1985. http://dx.doi.org/10.1007/978-1-4899-6653-7_24.

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Gado, Tamer A. "Statistical Behavior of Rainfall in Egypt." In Flash Floods in Egypt, 13–30. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-29635-3_2.

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Conference papers on the topic "Statistical behavior of device"

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Liang, Q., B. Greene, S. J. Han, Y. Wang, Y. Liang, M. Cai, F. Yang, et al. "On the systematic analysis of ring-delay performance using statistical behavior model." In 2009 International Semiconductor Device Research Symposium (ISDRS 2009). IEEE, 2009. http://dx.doi.org/10.1109/isdrs.2009.5378332.

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Jena, Shreeshan, Thirugnanam Arunachalam, and Subrata Kumar Panda. "Numerical analysis of the mechanical behavior of assistive device using gait data from experimental and statistical methods." In 2017 14th IEEE India Council International Conference (INDICON). IEEE, 2017. http://dx.doi.org/10.1109/indicon.2017.8487897.

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Boniardi, Mattia, Daniele Ielmini, Simone Lavizzari, Andrea L. Lacaita, Andrea Redaelli, and Agostino Pirovano. "Statistical and scaling behavior of structural relaxation effects in phase-change memory (PCM) devices." In 2009 IEEE International Reliability Physics Symposium (IRPS). IEEE, 2009. http://dx.doi.org/10.1109/irps.2009.5173236.

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M. P., Dhatri, and Raghuram Shivram. "Development of a Functional Testing System for Test Automation and Statistical Analysis of the behavior of health care device used to treat Deep Vein Thrombosis." In 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). IEEE, 2018. http://dx.doi.org/10.1109/rteict42901.2018.9012553.

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Lorio, Diego A., Facundo J. Wedekamper, Fabiano Bertoni, Facundo S. Lopéz, George C. Campello, and Telmo Strohaecker. "Friction Behavior Between Epoxy and Flexible Pipes Armor Wires." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54905.

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The offshore industry has presented an increasing demand over the last few decades, requiring the production in deep water fields. The end fittings (EF) are critical points within the production system. Therefore, structural and fatigue analyses are essential in the EF design, making it necessary to know the stress distribution experienced by the armor wires along the EF. Numerical and analytical models are often used in order to assess the stress state. However, characteristics like geometries, materials and interactions must be previously known in order to apply these models. The purpose of this work was to analyze the arithmetic mean surface roughness (Ra) and to determine the friction coefficient (μ) for two types of armor wires when in contact with resin used to fill the EF. The resin used in the interaction with the armor wires was an epoxy filled with metallic particles. For the experimental analysis straight carbon steel armor wires with different cross-sections, typically used in 2.5″ and 8″ flexible pipes were used. Surface profile was obtained for each wire by repeated measurements along two lines over each surface. A total of three repetitions were performed in each measure line. Longitudinal roughness was determined through these profiles. Finally, friction coefficients were obtained experimentally by means of a device that allows to simulate the wire pullout and sliding process. In this device, two epoxy pads were put in contact with the surface of the analyzed wire sample, and rigid bodies in contact with the pads were used to ensure that the normal load applied is transmitted uniformly through the contact surface. The displacement rate, contact pressure between the surface of the wire and the epoxy resin pads, and axial force were recorded. The roughness in the longitudinal direction of the wires was analyzed through descriptive statistic and compared by Student’s “t” test. The highest values were obtained on wires with larger sections. This behavior is exposed on the results obtained for the friction coefficient as a function of the contact pressure. Friction coefficient for both wires was analyzed and compared using a Mann-Whitney U test. Both friction coefficients have a positive slope, indicating a small increase as the contact pressure raise. The significance value obtained for the means comparisons was p = 0.0001 and confirms that the average friction coefficient of the two wires are really different. Because of that, we conclude that is necessary to treat the EF project for different flexible pipes differentially.
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Ferrone, Christopher W., and Charles Sinkovits. "Driver Fatigue/Inattention Monitoring Device: An Integrated System for Heavy Trucks." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79033.

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The National Transportation Safety Board has reported statistics which indicate that 31% of all fatal-to-the-truck driver accidents occur due to fatigue/inattention [1] and 58% of all single-vehicle large truck crashes were also fatigue related [2]. If these numbers can be reduced, many lives can be saved. A Driver Fatigue Monitoring System has been designed and built to monitor whether a driver is sleeping or inattentive. This integrated system monitors the steering input behavior of the driver during a specified period of time. If the number of steering inputs is below the expected predetermined threshold, the system activates an audible alarm and light in the cab, waking the driver. Furthermore, this system can deactivate cruise control as well as activate various other preprogrammed truck systems or components to further aid in the control of the truck and to alert nearby motorists.
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S. P. da Silva, Leandro, Helio M. Morishita, Celso P. Pesce, and Rodolfo T. Gonçalves. "Nonlinear Analysis of a Heaving Point Absorber in Frequency Domain via Statistical Linearization." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-95785.

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Abstract The majority of wave energy devices operate close to resonant conditions to enhance energy conversion resulting in large displacements. As a result, nonlinearities significantly contribute to the dynamics of the system. A typical approach to predict the behavior of the system and power output relies on the derivation of a mathematical model in the time domain to simulate the dynamics through some numerical codes. However, a relatively high computational demand is required for those simulations. In this regard, the present work deals with the nonlinearities in the frequency domain via Statistical Linearization. Two different power-take-off systems are investigated, a linear and a hydraulic one, and their mean power calculations are derived based on the Statistical Linearization. The reliability of the method is verified against the Power Spectrum Density (PSD) of nonlinear time domain simulations. Only the heave motion is analyzed, and several nonlinearities commonly reported for Point Absorbers (PA) were considered, such as cubic stiffness, geometric nonlinearities, drag forces, and Coulomb forces. The approach employed in this work offers a reliable estimation of body dynamics for all nonlinearities considered. In addition, the present method produced a fast estimation, which can be valuable for the assessment of several designs and sea load conditions.
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Muhire, Modeste, Pasi Lautala, David Nelson, and Aaron Dean. "Selection of Representative Crossings Database for the Evaluation of Driver Behavior Over Highway-Rail Grade Crossings." In 2017 Joint Rail Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/jrc2017-2294.

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While the literature suggests that driver behavior is the main cause of most of highway-rail grade crossing crashes, it has proven to be a challenging area for research. The SHRP2 Naturalistic Driving Study (NDS) opened a window of opportunity to make a systematic analysis of the phenomenon because it includes an in-vehicle direct observation of the drivers. The first step in the analysis was the selection process of approximately 300 representative crossings for analysis from over 1,000 crossings included in the NDS. In order to allow the analysis of driver behavior in various environments, the selected set was comprised of different types of crossings. Key parameters that were considered are the types of crossings based on the installed traffic control devices, the configuration of nearby intersections, and the number of accidents that took place at the crossing in recent years. From a statistical standpoint, each group must have a size large enough to generalize the observed conclusions across other crossings with similar characteristics. In addition to NDS, resources such as the FRA accident database, the FRA crossings inventory, and Google-Maps were used in order to determine the crossings that fit the selection criteria. In future steps of the project evaluation of driver behavior over selected crossings is expected to help identify patterns that carry high risk for highway-rail crossing accidents.
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Dipaola, Vincenzo, Giuseppe Carlo Marano, and Rita Greco. "Stochastic Analysis of Sensitivity and Efficiency of Base Isolation System in Seismic Structural Protection." In ASME 2002 Pressure Vessels and Piping Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/pvp2002-1448.

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In this research the seismic response of structures isolated at the base by means of High Damping Laminated Rubber Bearings (HDRB) is evaluated. The analysis is performed by using a stochastic approach and a Gaussian zero mean non stationary stochastic process is used in order to model the seismic acceleration acting at the base of the structure. In order to take into account of the non-linear constitutive behavior both of the base isolation device and of the structure, the hysteretic differential Bouc-Wen model (BWM) is adopted. Moreover, the stochastic linearization method in the time domain is adopted to estimate the statistical moments of the non-linear system response in the state space. After estimating the system response variance a sensitivity analysis is carried out. The final aim of the research is to asses the real capacity of base isolation devices in order to protect the structures from seismic actions, by avoiding a non-linear response with associated large plastic displacements, and, therefore, by limiting related damage phenomena in structural and non structural members. In order to achieve this objective the stochastic response of a non-linear n-dof shear-type base isolated building is analyzed. The protection level offered to the structure by the base isolators is then assessed by evaluating the reduction both of the displacement response and the hysteretic dissipated energy.
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Spanos, P. D., A. Richichi, and F. Arena. "Stochastic Analysis of a Nonlinear Energy Harvester Model." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24489.

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Floating oscillating-bodies are a kind of wave energy converter developed for harvesting the great amount of energy related to water waves (see Falcão [1] for a review). Although the assumptions of small-wave and linear behavior of oscillating system are reasonable for most of the time during which a floating point harvester is in operation, nonlinear effects may be significant in extreme sea states situations. In this paper a nonlinear dynamic analysis of a point harvester wave energy converter is conducted. The model involves a tightly moored single-body floating device; it captures motion in the horizontal and vertical directions. The stiffness and damping forces, being functions of the displacement and velocity components, make the system nonlinear and coupled. For the input forces, the erratic nature of the waves is modeled by a stochastic process. Specifically, wind-generated waves are modeled by means of the JONSWAP spectrum. The method of statistical linearization [2] is used to determine iteratively the effective linear stiffness and damping matrices and response statistics of the system and to proceed to conducting a dynamic analysis of the harvester model. The reliability of the linearization based approach is demonstrated by comparison with time domain integration, Monte Carlo simulation, data. This approach offers the appealing feature of conducting efficiently a variety of parameter studies which can expedite preliminary evaluations, inter alia, of competing design scenarios for the energy converter in a stochastic environmental setting.
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Reports on the topic "Statistical behavior of device"

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Durlauf, Steven. Statistical Mechanics Approaches to Socioeconomic Behavior. Cambridge, MA: National Bureau of Economic Research, September 1996. http://dx.doi.org/10.3386/t0203.

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Fujimoto, James G., Hermann A. Haus, and Erich P. Ippen. Femtosecond Photonics: Fundamental Phenomena and Device Behavior. Fort Belvoir, VA: Defense Technical Information Center, July 1995. http://dx.doi.org/10.21236/ada296712.

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Ippen, E. P., J. G. Fujimoto, and H. A. Haus. Femtosecond Photonics: Fundamental Phenomena and Device Behavior. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada250506.

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Kavianpour Isfahani, Zahra. Statistical Analysis of Stormwater Device Testing Protocols in Portland, Oregon. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.676.

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Im, Mi-Young, Peter Fischer, Yamada Keisuke, and Shinya Kasai. Statistical Behavior of Formation Process of Magnetic Vortex State in Ni80Fe20 Nanodisks. Office of Scientific and Technical Information (OSTI), January 2011. http://dx.doi.org/10.2172/1011040.

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Sukthankar, Gita. (YIP-09) Improving Synthesis and Recognition of Crowded Scenes using Statistical Models of Group Behavior. Fort Belvoir, VA: Defense Technical Information Center, May 2013. http://dx.doi.org/10.21236/ada578243.

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Tromayer, Jurgen, Gerd Neumann, Alexander Trattner, Roland Kirchberger, and Hans van den Hoevel. Evaluating the Behavior of Carbureted Engines using a Fast Response Fuel Consumption Measurement Device with Minor Impact on Engine Characteristics. Warrendale, PA: SAE International, October 2013. http://dx.doi.org/10.4271/2013-32-9128.

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Zydlewski, Gayle Barbin, Garrett Staines, Haley Viehman, Haixue Shen, and Megan Altenritter. Interactions of aquatic animals with the ORPC OCGen® in Cobscook Bay, Maine: Monitoring behavior change and assessing the probability of encounter with a deployed MHK device. Office of Scientific and Technical Information (OSTI), October 2016. http://dx.doi.org/10.2172/1332311.

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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Key Informants. We searched MEDLINE and EMBASE (via EMBASE.com), In-Process MEDLINE and PubMed unique content (via PubMed.gov), and the Cochrane Database of Systematic Reviews for systematic reviews or controlled trials. We also searched ClinicalTrials.gov for ongoing studies. We assessed risk of bias and extracted data on health outcomes, surrogate outcomes, usability, sustainability, cost-effectiveness outcomes (quantifying the tradeoffs between health effects and cost), process outcomes, and other characteristics related to PGHD technologies. For isolated effects on health outcomes, we classified the results in one of four categories: (1) likely no effect, (2) unclear, (3) possible positive effect, or (4) likely positive effect. When we categorized the data as “unclear” based solely on health outcomes, we then examined and classified surrogate outcomes for that particular clinical condition. Findings. We identified 114 unique studies that met inclusion criteria. The largest number of studies addressed patients with hypertension (51 studies) and obesity (43 studies). Eighty-four trials used a single PGHD device, 23 used 2 PGHD devices, and the other 7 used 3 or more PGHD devices. Pedometers, blood pressure (BP) monitors, and scales were commonly used in the same studies. Overall, we found a “possible positive effect” of PGHD interventions on health outcomes for coronary artery disease, heart failure, and asthma. For obesity, we rated the health outcomes as unclear, and the surrogate outcomes (body mass index/weight) as likely no effect. For hypertension, we rated the health outcomes as unclear, and the surrogate outcomes (systolic BP/diastolic BP) as possible positive effect. For cardiac arrhythmias or conduction abnormalities we rated the health outcomes as unclear and the surrogate outcome (time to arrhythmia detection) as likely positive effect. The findings were “unclear” regarding PGHD interventions for diabetes prevention, sleep apnea, stroke, Parkinson’s disease, and chronic obstructive pulmonary disease. Most studies did not report harms related to PGHD interventions; the relatively few harms reported were minor and transient, with event rates usually comparable to harms in the control groups. Few studies reported cost-effectiveness analyses, and only for PGHD interventions for hypertension, coronary artery disease, and chronic obstructive pulmonary disease; the findings were variable across different chronic conditions and devices. Patient adherence to PGHD interventions was highly variable across studies, but patient acceptance/satisfaction and usability was generally fair to good. However, device engineers independently evaluated consumer wearable and handheld BP monitors and considered the user experience to be poor, while their assessment of smartphone-based electrocardiogram monitors found the user experience to be good. Student volunteers involved in device usability testing of the Weight Watchers Online app found it well-designed and relatively easy to use. Implications. Multiple randomized controlled trials (RCTs) have evaluated some PGHD technologies (e.g., pedometers, scales, BP monitors), particularly for obesity and hypertension, but health outcomes were generally underreported. We found evidence suggesting a possible positive effect of PGHD interventions on health outcomes for four chronic conditions. Lack of reporting of health outcomes and insufficient statistical power to assess these outcomes were the main reasons for “unclear” ratings. The majority of studies on PGHD technologies still focus on non-health-related outcomes. Future RCTs should focus on measurement of health outcomes. Furthermore, future RCTs should be designed to isolate the effect of the PGHD intervention from other components in a multicomponent intervention.
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Facts about adolescents from the Demographic and Health Survey—Statistical tables for program planning: Jordan 1997. Population Council, 2001. http://dx.doi.org/10.31899/pgy21.1018.

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The Population Council initiated its work on adolescents in the mid-1990s. At that time, those advocating greater attention to adolescent issues were concerned about adolescent fertility—particularly outside of marriage—and adolescent “risk-taking” behavior. As an international scientific organization with its mandate centered around the needs of developing countries, the Council sought a more nuanced and context-specific understanding of the problems confronting adolescents in the developing world. In working with colleagues inside and outside the Council, it became clear that information on adolescents, and the way data are organized, were limiting the ability to understand the diversity of their experiences or to develop programs to address that diversity. In the absence of data, many adolescent policies were implicitly based on the premise that the lives of adolescents in developing countries were like those of adolescents in Western countries. In fact, significant numbers of young people in the West do not fit this description, and even larger groups within the developing countries. The Council created tables to more clearly describe the diversity of the adolescent experience by drawing on Jordan Demographic and Health Survey data. The tables, presented in this report, are intended to be used as a basis for developing programs.
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