Relevant bibliographies by topics / AVL/APC data

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

Academic literature on the topic 'AVL/APC data'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 February 2022

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Journal articles on the topic "AVL/APC data"

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Grisé, Emily, and Ahmed El-Geneidy. "Identifying the Bias: Evaluating Effectiveness of Automatic Data Collection Methods in Estimating Details of Bus Dwell Time." Transportation Research Record: Journal of the Transportation Research Board 2647, no. 1 (2017): 33–40. http://dx.doi.org/10.3141/2647-05.

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Data from automated vehicle location (AVL) systems, automatic passenger counter (APC) systems, and fare box payments have been heavily used to generate dwell time models with the goal of recommending improvements in efficiency and reliability of bus transit systems. However, automatic data collection methods may result in a loss of detail with regard to the dynamics of passenger activity, which may bias the estimates associated with dwell or passenger activity time. The purpose of this study is to understand better any biases that might exist from using data from AVL–APC systems or fare box payments when estimating dwell time. Manually collected data from Montreal, Quebec, Canada, are used to estimate detailed dwell time models. This study compared those estimates to models generated by using data similar to what was reported by AVL–APC systems and fare boxes. The results reveal an overestimation in the passenger activity component of dwell time, which is mainly attributed to excess dwell time that AVL–APC data and fare box payments generally do not capture. While AVL–APC and fare box technologies provide transit agencies with rich data for analysis, adjustments to such data collection methods are warranted to reduce the overestimation of dwell time and to provide a more accurate picture of what is happening on the ground to generate better interventions that can reduce dwell times.
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Hammerle, Meghan, Michael Haynes, and Sue McNeil. "Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations." Transportation Research Record: Journal of the Transportation Research Board 1903, no. 1 (2005): 27–34. http://dx.doi.org/10.1177/0361198105190300104.

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New technologies such as automatic vehicle location (AVL) and automatic passenger counters (APC) make tremendous amounts of data available to transit planners and operators. Transit agencies would like to use these data to inform service planning and management and ultimately to provide more reliable service. This requires data processing in such a way as to provide pertinent information to transit planners. The research presented considers a sample of data collected from Chicago Transit Authority buses during the initial stage of AVL and APC implementation in Chicago, Illinois. Methods were developed for extracting information from these data that could be used to compute service reliability indicators. This research also discusses some of the challenges encountered in the data collection process. At the time of the data collection, the home garage for the bus route under consideration was not fully stocked with AVL-equipped buses. Other challenges included the misplacement of some time points and undercounting by the APC system. The data proved useful even with these challenges, and valuable information, such as bus travel patterns, schedule adherence, and headway regularity, was gained from this study. By recognizing some of the challenges faced in the data collection process, this research provided insights that can be used to inform future larger-scale studies of transit operations using AVL and APC data.
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Jung, You-Jin, and Jeffrey M. Casello. "Assessment of the transit ridership prediction errors using AVL/APC data." Transportation 47, no. 6 (2019): 2731–55. http://dx.doi.org/10.1007/s11116-019-09985-7.

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Shalaby, Amer, and Ali Farhan. "Prediction Model of Bus Arrival and Departure Times Using AVL and APC Data." Journal of Public Transportation 7, no. 1 (2004): 41–61. http://dx.doi.org/10.5038/2375-0901.7.1.3.

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Tétreault, Paul R., and Ahmed M. El-Geneidy. "Estimating bus run times for new limited-stop service using archived AVL and APC data." Transportation Research Part A: Policy and Practice 44, no. 6 (2010): 390–402. http://dx.doi.org/10.1016/j.tra.2010.03.009.

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Pi, Xidong, Mark Egge, Jackson Whitmore, Amy Silbermann, and Zhen Qian. "Understanding Transit System Performance Using AVL-APC Data: An Analytics Platform with Case Studies for the Pittsburgh Region." Journal of Public Transportation 21, no. 2 (2018): 19–40. http://dx.doi.org/10.5038/2375-0901.21.2.2.

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Düwel, Michael, and Ernst J. Ungewickell. "Clathrin-dependent Association of CVAK104 with Endosomes and the Trans-Golgi Network." Molecular Biology of the Cell 17, no. 10 (2006): 4513–25. http://dx.doi.org/10.1091/mbc.e06-05-0390.

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CVAK104 is a novel coated vesicle-associated protein with a serine/threonine kinase homology domain that was recently shown to phosphorylate the β2-subunit of the adaptor protein (AP) complex AP2 in vitro. Here, we demonstrate that a C-terminal segment of CVAK104 interacts with the N-terminal domain of clathrin and with the α-appendage of AP2. CVAK104 localizes predominantly to the perinuclear region of HeLa and COS-7 cells, but it is also present on peripheral vesicular structures that are accessible to endocytosed transferrin. The distribution of CVAK104 overlaps extensively with that of AP1, AP3, the mannose 6-phosphate receptor, and clathrin but not at all with its putative phosphorylation target AP2. RNA interference-mediated clathrin knockdown reduced the membrane association of CVAK104. Recruitment of CVAK104 to perinuclear membranes of permeabilized cells is enhanced by guanosine 5′-O-(3-thio)triphosphate, and brefeldin A redistributes CVAK104 in cells. Both observations suggest a direct or indirect requirement for GTP-binding proteins in the membrane association of CVAK104. Live-cell imaging showed colocalization of green fluorescent protein-CVAK104 with endocytosed transferrin and with red fluorescent protein-clathrin on rapidly moving endosomes. Like AP1-depleted COS-7 cells, CVAK104-depleted cells missort the lysosomal hydrolase cathepsin D. Together, our data suggest a function for CVAK104 in clathrin-dependent pathways between the trans-Golgi network and the endosomal system.
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Petrova, Milla, Mariyana Eneva, Jeliazko Iliev Arabadjiev, et al. "High neutrophil to lymphocyte ratio as a predictor for hyperprogressive disease in patients with metastatic non-small cell lung cancer treated with pembrolizumab as a second line." Journal of Clinical Oncology 38, no. 15_suppl (2020): e21546-e21546. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e21546.

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e21546 Background: In this study we evaluated the incidence of early non-responders (which are potential hyper-progressors (HP)) and its relation to Neutrophil-Lymphocyte Ratio (NLR), Platelet-Lymphocyte Ratio (PLR) as well as their dynamics in patients with Non-small Cell Lung Cancer (NSCLC) treated with pembrolizumab (P) as a second line. Methods: Patients with metastatic NSCLC (n=119) whose tumors expressed PD-L1≥1% were retrospectively analyzed between Apr 2017 and Oct 2019. All patients received platinum-containing chemotherapy (CT) as a first line treatment. Hematological parameters of interest were absolute neutrophil (ANC), absolute lymphocyte (ALC) and platelet (APC) counts, enabling calculation of NLR (ANC/ALC) and PLR (APC/ALC). NLR1 and PLR1 were calculated before CT, NLR2 and PLR 2 – before the first P infusion. ΔNLR (NLR2-NLR1) and ΔPLR (PLR2-PLR1) were calculated. The tumor response was assessed according to the RECIST (version 1.1) at every 3 months. Early progressors (EP) were defined as non-responders at the first computed tomography scan evaluation of the CT. As HP on P were considered patients with time to progression ≤ 3 months, clinical deterioration and appearance of ≥2 new lesions in organ already involved or spread to a new organ. Results: Twelve (10.1%) patients in the CT group were EP. Fourteen (11.8%) patients in the immunotherapy group were assessed as HP. Four patients (3.4%) did not respond either to CT or to P and had clinical aggravation. HP had significantly higher NLR2 (9.1±1.9 vs 4.8±3.2, p<0.001), PLR2 (400±173.8 vs 214.7±117.3, p<0.001), ΔNLR (2.3±1.9 vs 0.3±2.0, p=0.001), ΔPLR (107.9±167.3 vs 0.6±94.9, p=0.012) than the rest of the patients. ROC analysis revealed that at the optimal cutoff values of all markers, NLR2 achieved the greatest AUC=0.855 (95% CI, 0.77-0.93) and could distinguish between patients with or without hyperprogressive disease (HPD) with sensitivity of 85.7% and specificity of 72.4%. HP had significantly shorter mean OS - 12.5 months (95%, CI 10.9-14.1) than the rest – 32.2 months (95%, CI 28.4-36.1). Patients who did not respond either to CT or to P had significantly shorter mean OS – 9.2 months (95%, CI 6.6-11.8) than the rest – 29.8 months (95%, CI 26.4-33.4). NLR was found to be an independent predictive factor for HPD, HR=1.22 (95% CI,1.11-1.35; p<0.001). Conclusions: Our data suggest that the incidence of intrinsic aggressive disease phenotype, irrespective of treatment, is low. NLR is a novel predictive marker for HPD.
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Goy, Andre, Tatyana Feldman, Lori Ann Leslie, et al. "Prognostic value of the absolute lymphocyte to monocyte (ALC/AMC) ratio on overall survival among patients with mantle cell lymphoma." Journal of Clinical Oncology 35, no. 15_suppl (2017): e19030-e19030. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.e19030.

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e19030 Background: The peripheral blood absolute lymphocyte-to-monocyte ratio (ALC/AMC) is prognostic of overall survival (OS) in Hodgkin Lymphoma, Diffuse Large B-cell Lymphoma, and several solid tumors. Lymphocyte and monocytes have been suggested to be surrogate biomarkers of immune homeostasis and tumor microenvironment, respectively. We sought to determine if the post-induction therapy ALC/AMC is prognostic in mantle cell lymphoma. Methods: A retrospective review was conducted of 96 consecutive mantle cell lymphoma patients (pts) with available data treated at the John Theurer Cancer Center (n=77) and 4 Regional Cancer Care Associate practices (n=19) by 24 physicians between Aug 2005 and Dec 2015 (90% cases after 2009). Cases were identified via the COTA database which extracts and organizes relevant data from the electronic health records. Peripheral blood counts (to calculate the ALC/AMC) were determined approximately 30 days following completion of initial therapy or immediately prior to stem cell mobilization in those pts undergoing first line transplant. All analyses were performed using the R statistical language. Results: 67 pts had ALC/AMC less than 2 and 29 pts had ALC/AMC greater than or equal to 2. The cohorts (<2 vs >2) had similar median ages (64 vs 68; p=0.18), ethnicities (p=0.38), stage distributions (including 87% vs 79% stage IV disease; p=0.51), elevated beta-2-microglobulin (p=1), elevated LDH (p=1) and MIPI scores (including 19% vs 41% high risk; p=0.13). ALC/AMC was <2 in 10 of 13 (77%) transplanted pts and 57 of 83 (69%) non-transplanted pts (p=0.57). With a median follow-up of 43 months, the median OS has not been reached in either cohort; the 5-year survival rates were higher among pts with ALC/AMC greater than or equal to 2 (90% vs 68%; log-rank p<0.05). Similar ALC/AMC 5-year survival trends were noted when sub-setting to the 25 pts with high risk MIPI scores (72% vs 45%; p=0.07). Conclusions: An elevated ALC/AMC >2, following induction therapy, is associated with improved overall survival in MCL. Novel maintenance programs, including targeting the microenvironment or immune response, might be appropriate among pts with low ratios.
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Rufino, João Pedro, Ana Laura Maciel Monteiro, Julia Português Almeida, Karolina Moreira dos Santos, Mariana da Cruz Andrade, and Silvia Cristina Marques Nunes Pricinote. "Cancer mortality trends in Brazilian adults aged 80 and over from 2000 to 2017." Geriatrics, Gerontology and Aging 14, no. 4 (2020): 274–81. http://dx.doi.org/10.5327/z2447-212320202000097.

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INTRODUCTION: Adults aged 80 and over represent the fastest growing segment of the population in emerging countries. Studies of cancer mortality trends in the oldest old population are scarce in Brazil. OBJECTIVE: To describe trends in cancer mortality in the Brazilian oldest old, by gender and cancer type, from 2000 to 2017. METHODS: This was a descriptive study with a time trend design, based on data from the Mortality Information System (of the Informatics Department of the Unified Health System). The variables analyzed were year of death, sex and cancer site. The five most common types of cancer were identified, and mortality rates and trends were calculated for each one. Trends were determined using joinpoint regression. In all cases where one or more joinpoints were statistically significant, the average annual percent change (AAPC) was calculated based on the arithmetic mean of the annual percent change (APC), weighted by the length of each segment. The statistical significance of the APC and AAPC was estimated by calculating 95% confidence intervals (CI) with an alpha level of 0.05. RESULTS: Mortality rates increased over time (AAPC = 1.50; 95%CI, 1.20 – 1.70) in both males (AAPC = 1.90; 95%CI, 1.70 – 2.10) and females (AAPC = 1.30; 95%CI, 1.00 – 1.50). Men had higher mortality rates than women. The most common causes of cancer-related death were prostate cancer (AAPC = 1.70; 95%CI, 1.10 – 2.30) in men, and breast cancer (AAPC = 1.90; 95%CI, 1.50 – 2.20) in women, followed by cancers of the lung and bronchus, stomach and colon. All rates increased over time, except in the case of stomach cancer. CONCLUSION: The study revealed increasing mortality rates for screenable and/or preventable cancers, alerting to the need for preventive measures.
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Dissertations / Theses on the topic "AVL/APC data"

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Cham, Laura Cecilia. "Understanding bus service reliability : a practical framework using AVL/APC data." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/34381.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.<br>Includes bibliographical references (leaves 141-142).<br>Service reliability on a transit system can have significant impacts on its provider and both existing and potential users. To passengers, unreliable service affects their perception of service quality and transit utility compared to other mode choices, while to transit agencies, this translates to loss of ridership and revenues and higher costs to provide additional service to compensate for poor service operations. The introduction of technologies such as Automatic Vehicle Location (AVL) and Automatic Passenger Counters (APC) provides the opportunity to gather large sets of data at relatively low cost and evaluate service to improve performance, schedule planning and operations control. This thesis presents a comprehensive review of key elements of service reliability, focused on the measures of reliability, the causes of unreliability and the application of strategies to improve service. The most significant causes of service reliability are presented: deviations at terminals, passenger loads, running times, environmental factors (or externalities) and operator behavior. Each is reviewed in terms of how they impact service and the complexities and interrelationship between different causes are explored. Also reviewed are the potential preventive and corrective strategies, and the links between the causes of service unreliability and best strategy according to the source of problems. A practical framework is developed to assess service reliability, exploring the uses of Automated Data Collection (ADC) systems to characterize service reliability and evaluate the causes of unreliability that may exist. Its goal is to serve as a guide for transit agencies to begin to analyze the large sets of data available from these systems<br>to evaluate performance and implement efficient strategies to improve service planning and operations. The proposed framework consists of three blocks: 1) characterization of service reliability through service measures and performance reports; 2) identification of causes of reliability problems; and 3) selection of strategies which target critical causes of unreliability to improve service. Characterization of service reliability involves examining five key elements an agency should analyze: a) data inputs, b) output calculations, c) service measures, d) threshold values, and e) performance reports. Identifying the causes of unreliability includes two sequential processes to infer the causes of service reliability problems. The first focuses on deviations at terminals, because good on-time performance and headway adherence is expected at the terminals and deviations at this point tend to propagate down the route and create further reliability problems. The second process examines deviations at other points on the route, and follows a set of steps to infer the causes of unreliability: initial deviations at terminal, passenger loads, poor schedule planning, operator behavior and externalities. Application of strategies includes an assessment of the best strategies to prevent reliability problems and reduce the impacts on service performance, based on the results of the previous analysis. The application of the proposed framework on the Silver Line Washington Street in Boston (MA) revealed that variability of running times and headway distributions are high. This indicates that bus arrivals and passenger wait times on this route are unpredictable and travel times are irregular. As a Bus Rapid Transit route,<br>which is suppose to provide bus service with rail transit quality, headway adherence is poor on this route, with a tendency for buses to bunch together or leave gaps in service. Further analysis revealed that service reliability has recently deteriorated as a result of the implementation of a new Automatic Fare Collection (AFC) system. The new fare collection system presented delays in the boarding process, which resulted in increased travel times and passenger wait times. The main cause of service unreliability on this route was identified to be deviations at the terminals. Trips are departing the terminal with poor headway adherence (and therefore, poor on-time performance), which propagates and creates further reliability problems down the route. The causes of these terminal deviations were inferred to be a combination of poor terminal supervision and operator behavior. Recovery times, externalities and passenger loads at this terminal are inferred to cause only minor problems. At other points in the route, operator behavior and passenger loads are observed to affect reliability in the inbound direction. As for strategies to improve service reliability, emphasis is given to better supervision at the terminal. Supervisors at terminals are needed to enforce good operator behavior, balance headways, apply control strategies, and coordinate passenger loads to avoid poor departure headways and overcrowding of buses. Along the route, operator training, corrective strategies and traffic signal priority are highlighted as potential strategies to reduce the variability in running times and balance headways to reduce the occurrence of bunches and gaps in service.<br>by Laura Cecilia Cham.<br>S.M.
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Klasson, Filip, and Patrik Väyrynen. "Development of an API for creating and editing openEHR archetypes." Thesis, Linköping University, Department of Biomedical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-17558.

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<p>Archetypes are used to standardize a way of creating, presenting and distributing health care data. In this master thesis project the open specifications of openEHR was followed. The objective of this master thesis project has been to develop a Java based API for creating and editing openEHR archetypes. The API is a programming toolbox that can be used when developing archetype editors. Another purpose has been to implement validation functionality for archetypes. An important aspect is that the functionality of the API is well documented, this is important to ease the understanding of the system for future developers. The result was a Java based API that is a platform for future archetype editors. The API-kernel has optional immutability so developed archetypes can be locked for modification by making them immutable. The API is compatible with the openEHR specifications 1.0.1, it can load and save archetypes in ADL (Archetype Definition Language) format. There is also a validation feature that verifies that the archetype follows the right structure with respect to predefined reference models. This master thesis report also presents a basic GUI proposal.</p>
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Yang, Fei. "Estimating Bus Delay at Signalized Intersections from Archived AVL/APC Data." Thesis, 2012. http://hdl.handle.net/10012/6600.

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The travel times of public transit systems that operate on mixed use right-of-ways are often dictated by the delays experienced at signalized intersections. When these delays become large and/or highly variable, transit quality degrades and agency operating costs increase. A number of transit priority measures can be applied, including transit signal priority or queue jump lanes. However, it is necessary that a process of prioritizing intersections for priority treatment be conducted so as to ensure the greatest return on investment is achieved. This thesis proposes and demonstrates a methodology to determine the distribution of stopped delays experienced by transit vehicles at signalized intersections using archived AVL (automated vehicle location) and APC (automated passenger counting) data. This methodology is calibrated and validated using queue length and bus unscheduled stopped delay data measured at a field site. Results show the proposed methodology is of sufficient accuracy to be used in practice for prioritizing signalized intersections for priority treatment. On the condition that a sample of the transit vehicle fleet is equipped with an AVL/APC system, the proposed methodology can be automatically implemented using the archived AVL/APC data and therefore avoid the need to conduct dedicated data collection surveys. The proposed methodology can provide estimates of (1) the maximum extent of the queue; and (2) measures of the distribution of stopped delays experienced by transit vehicles (e.g. mean, standard deviation, 90th percentile, etc.) caused by the downstream traffic signal. These measures can be produced separately for different analysis periods (e.g. different times of the day; days of the week; and time of the year) and can be compiled separately for different transit routes. These outputs can then be used to identify and prioritize signalized intersections as candidates for transit signal priority measures. The proposed method is suitable for application to most transit AVL/APC databases and is demonstrated using data from Grand River Transit, the public transit service provider in the Region of Waterloo, Ontario Canada.
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Mandelzys, Michael. "Using Transit AVL/APC System Data to Monitor and Improve Schedule Adherence." Thesis, 2010. http://hdl.handle.net/10012/5120.

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The implementation of automatic transit data collection via Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) systems provides an opportunity to create large, detailed datasets of transit operations. These datasets are valuable because they provide an opportunity to evaluate and optimize transit operations using methods that were previously infeasible and without the need for expensive manual data collection. This thesis develops a methodology to utilize data collected by typical AVL/APC system installations in order to (a) develop advanced performance measures to quantify schedule adherence and (b) automatically determine the causes of poor schedule adherence. The methodology addresses the difficulty that many small to medium sized transit agencies have in utilizing the data being collected by proposing a methodology that can be automated, thereby reducing resource and expertise requirements and allowing the data to be more effectively utilized. The ultimate output of the proposed methodology includes the following: 1. A ranked list of routes by direction (for a given time period) that identifies routes with the poorest schedule adherence performance. 2. Performance measures within any given route, direction, and time period that identify which timepoints are contributing most to poor schedule adherence. 3. Statistics indicating identified causes of poor schedule adherence at individual timepoints. 4. A visualization aid to be used in conjunction with the cause statistics generated in Step 3 in order to develop an effective strategy for improving schedule adherence issues. With this information, transit agencies will be able to act proactively to improve their transit system, rather than wait until they discover problems on their own or hear complaints from passengers and drivers. The methodology is tested and demonstrated through application to AVL/APC system data from Grand River Transit, a public transit agency serving Waterloo Region in Ontario, Canada.
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Saavedra, Marian Ruth. "An Automated Quality Assurance Procedure for Archived Transit Data from APC and AVL Systems." Thesis, 2010. http://hdl.handle.net/10012/5417.

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Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) systems can be powerful tools for transit agencies to archive large, detailed quantities of transit operations data. Managing data quality is an important first step for exploiting these rich datasets. This thesis presents an automated quality assurance (QA) methodology that identifies unreliable archived AVL/APC data. The approach is based on expected travel and passenger activity patterns derived from the data. It is assumed that standard passenger balancing and schedule matching algorithms are applied to the raw AVL/APC data along with any existing automatic validation programs. The proposed QA methodology is intended to provide transit agencies with a supplementary tool to manage data quality that complements, but does not replace, conventional processing routines (that can be vendor-specific and less transparent). The proposed QA methodology endeavours to flag invalid data as “suspect” and valid data as “non-suspect”. There are three stages: i) the first stage screens data that demonstrate a violation of physical constraints; ii) the second stage looks for data that represent outliers; and iii) the third stage evaluates whether the outlier data can be accounted for with valid or invalid pattern. Stop-level tests are mathematically defined for each stage; however data is filtered at the trip-level. Data that do not violate any physical constraints and do not represent any outliers are considered valid trip data. Outlier trips that may be accounted for with a valid outlier pattern are also considered valid. The remaining trip data is considered suspect. The methodology is applied to a sample set of AVL/APC data from Grand River Transit in the Region of Waterloo, Ontario, Canada. The sample data consist of 4-month’s data from September to December of 2008; it is comprised of 612,000 stop-level records representing 25,012 trips. The results show 14% of the trip-level data is flagged as suspect for the sample dataset. The output is further dissected by: reviewing which tests most contribute to the set of suspect trips; confirming the pattern assumptions for the valid outlier cases; and comparing the sample data by various traits before and after the QA methodology is applied. The latter task is meant to recognize characteristics that may contribute to higher or lower quality data. Analysis shows that the largest portion of suspect trips, for this sample set, suggests the need for improved passenger balancing algorithms or greater accuracy of the APC equipment. The assumptions for valid outlier case patterns were confirmed to be reasonable. It was found that poor schedule data contributes to poorer quality in AVL-APC data. An examination of data distribution by vehicle showed that usage and the portion of suspect data varied substantially between vehicles. This information can be useful in the development of maintenance plans and sampling plans (when combined with information of data distribution by route). A sensitivity analysis was conducted along with an impact analysis on downstream data uses. The model was found to be sensitive to three of the ten user-defined parameters. The impact of the QA procedure on network-level measures of performance (MOPs) was not found to be significant, however the impact was shown to be more substantial for route-specific MOPs.
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Books on the topic "AVL/APC data"

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Environmental, Systems Research Institute (Redlands Calif ). Programming ArchInfo with AML: Course notebook with exercises and training data. Environmental Systems Research Institute, 1999.

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Nummi, Tapio. APL:n käytöstä matriisilaskennassa. Matemaattisten tieteiden laitos, Tampereen yliopisto, 1987.

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Legrand, B. APL et GDDM, travail en plein écran. Masson, 1986.

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Sims, Charles C. A CLASSLIB user's manual. J. Wiley, 1985.

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A, Croon Marcel, and Hagenaars Jacques A, eds. Marginal models: For dependent, clustered, and longitudinal categorical data. Springer, 2009.

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Gregory, Furth Peter, United States. Federal Transit Administration., Transit Cooperative Research Program, Transit Development Corporation, and National Research Council (U.S.). Transportation Research Board., eds. Using archived AVL-APC data to improve transit performance and management. Transportation Research Board, 2006.

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Using Archived AVL-APC Data to Improve Transit Performance and Management. Transportation Research Board, 2006. http://dx.doi.org/10.17226/13907.

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Anscombe, Francis John. Computing in Statistical Science through APL. Springer, 2011.

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Unwin, Tim. Understanding the Technologies. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198795292.003.0002.

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In this chapter the author provides an introduction to eight important ongoing technological changes with significant ramifications for ICT4D: an ever more converged and miniaturized digital world; radio spectrum technologies and their management; from fixed-line to wireless communication; from voice to data and the impacts of the digital transition; technological openness and being free; social media and Over The Top services; 5G and the Internet of Things; and incubators, digital hubs, and app development. The chapter concludes by highlighting the importance of a sound technical understanding by all those involved in trying to use ICTs effectively for delivering real development outcomes.
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Environmental Systems Research Institute (Redlands, Calif.), ed. ARC macro language: Developing ARC/INFO menus and macros with AML : self-study workbook. Environmental Systems Research Institute, 1994.

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Book chapters on the topic "AVL/APC data"

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Bellizzi, Jennifer, Mark Vella, Christian Colombo, and Julio Hernandez-Castro. "Real-Time Triggering of Android Memory Dumps for Stealthy Attack Investigation." In Secure IT Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70852-8_2.

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AbstractAttackers regularly target Android phones and come up with new ways to bypass detection mechanisms to achieve long-term stealth on a victim’s phone. One way attackers do this is by leveraging critical benign app functionality to carry out specific attacks.In this paper, we present a novel generalised framework, JIT-MF (Just-in-time Memory Forensics), which aims to address the problem of timely collection of short-lived evidence in volatile memory to solve the stealthiest of Android attacks. The main components of this framework are i) Identification of critical data objects in memory linked with critical benign application steps that may be misused by an attacker; and ii) Careful selection of trigger points, which identify when memory dumps should be taken during benign app execution.The effectiveness and cost of trigger point selection, a cornerstone of this framework, are evaluated in a preliminary qualitative study using Telegram and Pushbullet as the victim apps targeted by stealthy malware. Our study identifies that JIT-MF is successful in dumping critical data objects on time, providing evidence that eludes all other forensic sources. Experimentation offers insight into identifying categories of trigger points that can strike a balance between the effort required for selection and the resulting effectiveness and storage costs. Several optimisation measures for the JIT-MF tools are presented, considering the typical resource constraints of Android devices.
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Fox, Sarah, and Daniel A. Epstein. "Monitoring Menses: Design-Based Investigations of Menstrual Tracking Applications." In The Palgrave Handbook of Critical Menstruation Studies. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0614-7_54.

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Abstract Fox and Epstein interrogate and reimagine menstrual tracking technology, focusing on mobile applications designed to document and quantify menstrual cycle data. While such technology promises to provide users with new insights and predictions, the authors highlight how these apps are inscribed with particular visions of menstruation and encourage users to extract intimate information about their bodies. Apps regularly assume, for instance, that all possible users are women, heterosexual, and monogamous, have a “normal” cycle, and use tracking techniques exclusively to gauge fertility. Fox and Epstein present two case studies: (1) examining core issues of usability and inclusion in the design of existing applications; and (2) using participatory approaches to highlight the lived experiences of menstruators and introduce alternatives to dominant menstrual app protocols. In offering this two-part analysis, they point to important openings for exploring how these technologies might support the needs of a multiplicity of menstruating bodies.
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"Data Source Connection Strategies." In System Building with APL + Win. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/0470034343.ch13.

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"Working with ActiveX Data Object (ADO)." In System Building with APL + Win. John Wiley & Sons, Ltd, 2007. http://dx.doi.org/10.1002/0470034343.ch12.

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Asmaryan, Albert, Alexey Levanov, and Irina Borovik. "Research of Multichannel User Data to Identify the Degree of Similarity." In Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8188-8.ch002.

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This chapter introduces the method to assess similarity based on Facebook Graph API and user movements. All movements of users are collected and analyzed. The chapter presents an additional method for analyzing user-generated images on Instagram Graph API. The chapter presents a two-step multiparameter algorithm that generates recommendations based on user social activity and movements. A flexible mechanism for the calculations of time that one spends on a variety of social activities to more accurately identify the relationships between users is presented. To reduce the load on the application, the algorithms of data analysis and transfer optimization are proposed. The ultimate result of the study is to build a platform based on the “client-server” model and includes a mobile app on the iOS platform and server, which would be set up on the “LAMP” platform (L - Linux operating system, A - Apache web server, M - MySQL database, P - PHP programming language). The given result can be used and applied in various spheres of our lives to identify different relationships between people.
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Wang, Yilei, and Xueqin Chen. "Personalized Mobile Information Recommendation Based on Fine-Grained User Behaviors." In Fuzzy Systems and Data Mining VI. IOS Press, 2020. http://dx.doi.org/10.3233/faia200734.

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At present, the enthusiasm of users to score actively in mobile information recommendation system is generally poor. Moreover, the existing research works rarely start with the analysis of fine-grained reading behaviors of mobile terminal users, but mostly based on the analysis of reading content and the improvement of model. It is difficult to find out the objective, short-term and local behavioral preferences of users. To solve the above problems, we propose six kinds of explicit fine-grained reading behaviors and integrate them into the user reading interest model to form the SVR-ALL model. The effectiveness of these six fine-grained behaviors is verified by ablative experiments. On the basis of SVR-ALL model, four implicit fine-grained reading behaviors are further mined by considering the difference of user reading habits, and then propose the user reading preference model called F-AFC. The updating mechanism for user preference designed in F-AFC can fully reflect the changes of users’ reading habits in different periods. Experiments show that the accuracy of the user interest model considering user’s reading preference and its update can be improved to some extent.
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Hardy, Anne. "Tracking via Geotagged Social Media Data." In Tracking Tourists. Goodfellow Publishers, 2020. http://dx.doi.org/10.23912/9781911635383-4575.

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Over the past twenty years, social media has changed the ways in which we plan, travel and reflect on our travels. Tourists use social media while travelling to stay in touch with friends and family, enhance their social status (Guo et al., 2015); and assist others with decision making (Xiang and Gretzel, 2010; Yoo and Gretzel, 2010). They also use it to report back to their friends and family where they are. This can be done using a geotag function that provides a location for where a post is made. While little is known about why tourists choose to geotag their social media posts, Chung and Lee (2016) suggest that geotags may be used in an altruistic manner by tourists, in order to provide information, and because they elicit a sense of anticipated reward. What is known, however, is that the function offers researchers the ability to understand where tourists travel. There are two types of geotagged social media data. The first of these is discussed in this chapter and may be defined as single point geo-referenced data – geotagged social media posts whose release is chosen by the user. This includes data gathered from social media apps such as Facebook, Instagram, Twitter and WeiChat. The method of obtaining this data involves the collation of large numbers of discrete geotagged updates or photographs. Data can be collated via an application programming interface (API) provided by the app developer to researchers, by automated data scraping via computer programs, perhaps written in Python, or manually by researchers. The second type of data is continuous location-based data from applications that are designed to track movement constantly, such as Strava or MyFitnessPal. Tracking methods using this continuous location-based data are discussed in detail in the following chapter.
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Sandhu, Rajinder, Adel Nadjaran Toosi, and Rajkumar Buyya. "An API for Development of User-Defined Scheduling Algorithms in Aneka PaaS Cloud Software." In Handbook of Research on Cloud Computing and Big Data Applications in IoT. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8407-0.ch009.

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Cloud computing provides resources using multitenant architecture where infrastructure is created from one or more distributed datacenters. Scheduling of applications in cloud infrastructures is one of the main research area in cloud computing. Researchers have developed many scheduling algorithms and evaluated them using simulators such as CloudSim. Their performance needs to be validated in real-time cloud environments to improve their usefulness. Aneka is one of the prominent PaaS software which allows users to develop cloud application using various programming models and underline infrastructure. This chapter presents a scheduling API developed for the Aneka software platform. Users can develop their own scheduling algorithms using this API and integrate it with Aneka to test their scheduling algorithms in real cloud environments. The proposed API provides all the required functionalities to integrate and schedule private, public, or hybrid cloud with the Aneka software.
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Silva, Manuel, Diogo Morais, Miguel Mazeda, and Luis Teixeira. "Mobile Applications in Cultural Heritage Context." In Advances in Media, Entertainment, and the Arts. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3669-8.ch009.

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As mobile technology sustains exponential growth and spread to all aspects of our everyday life and smartphone computational power increases, new promises arise for cultural institutions and citizens to use these tools for promoting cultural heritage. This survey proposes to review available smartphone applications (apps) relating to cultural heritage in three different contexts: cities, street art, and museums. Apps were identified by searching two app stores: Apple's App Store and Google Play (Android). A data search was undertaken using keywords and phrases relating to cities, street art, and museums. A total of 101 apps were identified (Google Play only= 7, Apple App Store only = 26, both Google Play and Apple App Store = 61, Apple Web Store and Web App = 6). Apps were categorized into the following categories: museums (39), street art (30), and cities (32). The most popular features are photos (96%) and maps (79%), and the most uncommon the 360 (4% – only in museums apps), games (6%), and video (15%).
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Kopsiaftis, George, Ioannis Georgoulas, Ioannis Rallis, et al. "Application Programming Interface for a Customer Experience Analysis Tool." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2021. http://dx.doi.org/10.3233/faia210092.

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This paper analyzes the architecture of an application programming interface (API) developed for a novel customer experience tool. The CX tool aims to monitor the customer satisfaction, based on several experience attributes and metrics, such as the Net Promoter Score. The API aims to create an efficient and user-friendly environment, which allow users to utilize all the available features of the customer experience system, including the exploitation of state-of-the-art machine learning algorithms, the analysis of the data and the graphical representation of the results.
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Conference papers on the topic "AVL/APC data"

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Chen, Wei-Ya, and Zhi-Ya Chen. "A Simulation Model for Transit Service Unreliability Prevention Based on AVL-APC Data." In 2009 International Conference on Measuring Technology and Mechatronics Automation. IEEE, 2009. http://dx.doi.org/10.1109/icmtma.2009.77.

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"ANALYZING DATA FROM AVL/APC SYSTEM FOR IMPROVING TRANSIT MANAGEMENT - Theory and Practice." In Special Session on Business Information System. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003602402670274.

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Feng, Wei, and Miguel Figliozzi. "Empirical Findings of Bus Bunching Distributions and Attributes Using Archived AVL/APC Bus Data." In 11th International Conference of Chinese Transportation Professionals (ICCTP). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41186(421)427.

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Samaras, Patroklos, Anestis Fachantidis, Grigorios Tsoumakas, and Ioannis Vlahavas. "A prediction model of passenger demand using AVL and APC data from a bus fleet." In PCI '15: 19th Panhellenic Conference on Informatics. ACM, 2015. http://dx.doi.org/10.1145/2801948.2801984.

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Song, Ying. "Modeling Spatial-Temporal Patterns of Bus Delays at and between Stops Using AVL and APC Data and Semi-Markov Techniques." In 18th COTA International Conference of Transportation Professionals. American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481523.067.

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Bodhika, J. A. P., W. G. D. Dharmarathne, Mahendra Fernando, and Vernon Cooray. "Localization of thunder source and reconstruction of lightning channel geometry using sound data." In 2011 7th Asia-Pacific International Conference on Lightning (APL). IEEE, 2011. http://dx.doi.org/10.1109/apl.2011.6110160.

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Yan, Liu, Li Zheng, and Wang Hongbing. "Comparison and Analysis of Lightning Occurrence Characteristics Based on Data Obtained by Fengyun-4A Satellite and ADTD Three-Dimensional Lightning Monitoring Network in Jiangsu Province." In 2019 11th Asia-Pacific International Conference on Lightning (APL). IEEE, 2019. http://dx.doi.org/10.1109/apl.2019.8816056.

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Geiger, M., M. J. Heeb, B. Binder, and J. H. Griffin. "FUNCTIONAL CHARACTERIZATION OF PROTEIN C INHIBITORS (PCI) FROM PLASMA AND URINE." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1643815.

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Immunoblotting studies showed that human plasma and urine contain components that form heparin-dependent complexes with activated protein C (APC) and urokinase (UPA) and that the presence of either active enzyme decreases complex formation by the other (Geiger et al. 1986, Circ. 74:11-234). To investigate whether these findings are due to competition of APC and UPA for one or more heparin-dependent inhibitors, a functional assay for PCI was developed to study the time course of inhibition of protein C (PC) in purified or crude systems in the presence or absence of stimulating or interfering substances. Microtiter plates coated with monoclonal anti-protein C antibodies were incubated with diluted plasma supplemented with 125I-pc. After activation of bound PC with Protac C, the wells were washed and then incubated with samples containing PCI in the presence or absence of heparin for varying times. The remaining amidolytic activity on the substrate S-2366 was determined as Δ A405/time/cpm bound. Using plasma as a source of PCI, APC inhibition followed pseudo first order kinetics and a linear relation between the pseudo first order rate constant, k, and plasma concentration was observed from 6% to 40% plasma with k = 0.012/min at 20% plasma. A dose dependent increase in k was observed in the presence of heparin, with half maximal stimulation at 2 to 4 U/ml and maximal stimulation (k = 0.05/min at 20% plasma at heparin concentration &gt; 10 U/ml. Urinary PCI was partially purified vising heparin Sepharose chromatography from which it coeluted at 0.35 M NaCl with UPA inhibitory activity. Partially purified urinary PCI inhibited APC and UPA, and competitions similar to those obtained with plasma PCI were observed. The effect of UPA on the inhibition of APC by PCI in plasminogen-depleted plasma and by urinary PCI was studied. In both systems, UPA caused a significant decrease in the inhibition of APC in the absence or presence of heparin. These results and our previous immunobloting data demonstrate competition of APC and UPA for common heparin-dependent PCIs in plasma and urine.
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Lautert, Filipe, Daniel Fernandes Gonçalves Pigatto, and Luiz Celso Gomes-JR. "Blockchain-based Data Provenance." In Workshop em Blockchain: Teoria, Tecnologias e Aplicações. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/wblockchain.2020.12975.

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Data provenance tracks the origin of information with the goal of improving trust among interested parties. One of the key aspects provided by data provenance is transparency, which allows stakeholders to follow all the changes applied to the information (e.g. a document). Blockchains, a recent technological development, allow transparency in a distributed application context without the need for a trusted centralized entity. The approach presented here aims to use blockchain as a secure, shared and auditable storage providing transparent data provenance. Our proposal builds upon the well established W3C Prov Model, which simplifies adoption of the framework. An application consisting of a client and a REST API service that is able to store provenance information using open standards in a blockchain has been developed. Here we report the results of several stress tests to validate the practicability of our approach.
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Geng, Yong, Bao-Jian Wu, Xiang-Jian Kong, et al. "All-optical regeneration experiment based on data-pump four-wave mixing in silicon waveguide." In Asia Communications and Photonics Conference. OSA, 2015. http://dx.doi.org/10.1364/acpc.2015.asu2a.31.

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Reports on the topic "AVL/APC data"

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Arhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1943.

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Washington, DC is ranked second among cities in terms of highest public transit commuters in the United States, with approximately 9% of the working population using the Washington Metropolitan Area Transit Authority (WMATA) Metrobuses to commute. Deducing accurate travel times of these metrobuses is an important task for transit authorities to provide reliable service to its patrons. This study, using Artificial Neural Networks (ANN), developed prediction models for transit buses to assist decision-makers to improve service quality and patronage. For this study, we used six months of Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC) data for six Washington Metropolitan Area Transit Authority (WMATA) bus routes operating in Washington, DC. We developed regression models and Artificial Neural Network (ANN) models for predicting travel times of buses for different peak periods (AM, Mid-Day and PM). Our analysis included variables such as number of served bus stops, length of route between bus stops, average number of passengers in the bus, average dwell time of buses, and number of intersections between bus stops. We obtained ANN models for travel times by using approximation technique incorporating two separate algorithms: Quasi-Newton and Levenberg-Marquardt. The training strategy for neural network models involved feed forward and errorback processes that minimized the generated errors. We also evaluated the models with a Comparison of the Normalized Squared Errors (NSE). From the results, we observed that the travel times of buses and the dwell times at bus stops generally increased over time of the day. We gathered travel time equations for buses for the AM, Mid-Day and PM Peaks. The lowest NSE for the AM, Mid-Day and PM Peak periods corresponded to training processes using Quasi-Newton algorithm, which had 3, 2 and 5 perceptron layers, respectively. These prediction models could be adapted by transit agencies to provide the patrons with accurate travel time information at bus stops or online.
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Haehnel, Robert, Scott Christensen, J. Whitlow, et al. A computational prototyping environment interface for DoD CREATE™-AV Helios simulations. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40582.

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Computational Prototyping Environment (CPE) is a web-based portal designed to simplify running Department of Defense (DoD) modeling and simulation tools on the DoD Supercomputing Resource Center’s (DSRC) High Performance Computing (HPC) systems. The first of these tools to be deployed in the CPE is an application (app) to conduct parametric studies and view results using the CREATE-AV Helios CFD software. Initial capability includes hover (collective sweep) and forward flight (speed sweep) performance calculations. The CPE Helios app allows for job submission to a DSRC’s HPC system and for the viewing of results created by Helios, i.e., time series and volumetric data. Example data input and results viewing are presented. Planned future functionality is also outlined.
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Badia, R., J. Ejarque, S. Böhm, C. Soriano, and R. Rossi. D4.4 API and runtime (complete with documentation and basic unit testing) for IO employing fast local storage. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.9.001.

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This deliverable presents the activities performed on the ExaQUte project task 4.5 Development of interface to fast local storage. The activities have been focused in two aspects: reduction of the storage space used by applications and design and implementation of an interface that optimizes the use of fast local storage by MPI simulations involved in the project applications. In the rst case, for one of the environments involved in the project (PyCOMPSs) the default behavior is to keep all intermediate les until the end of the execution, in case these les are reused later by any additional task. In the case of the other environment (HyperLoom), all les are deleted by default. To unify these two behaviours, the calls \delete object" and \detele le"have been added to the API and a ag \keep" that can be set to true to keep the les and objects that maybe needed later on. We are reporting results on the optimization of the storage needed by a small case of the project application that reduces the storage needed from 25GB to 350MB. The second focus has been on the de nition of an interface that enables the optimization of the use of local storage disk. This optimization focuses on MPI simulations that may be executed across multiple nodes. The added annotation enables to de ne access patters of the processes in the MPI simulations, with the objective of giving hints to the runtime of where to allocate the di erent MPI processes and reduce the data transfers, as well as the storage usage.
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