Optimizing and Modeling Tollway Operations Using Microsimulation: Case Study Sanand Toll Plaza, Ahmedabad, Gujarat, India

2017 ◽  
Vol 2615 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Manraj Singh Bains ◽  
Shriniwas S. Arkatkar ◽  
K. S. Anbumani ◽  
Siva Subramaniam
Keyword(s):  
Simulation Model ◽  
Application Programming Interface ◽  
Level Of Service ◽  
Component Object ◽  
Application Programming ◽  
Toll Plaza ◽  
Lane Utilization ◽  
Dynamic Route ◽  
Programming Interface

This study aimed to develop a microsimulation model for optimizing toll plaza operations in relation to operational cost and level of service for users. A well-calibrated and validated simulation model was developed in PTV Vissim, and several scenarios were simulated to test their efficacy at improving toll plaza operations. Data collected included classified entry traffic volume at the toll plaza, service time for different payment categories, percentage of lane utilization, and travel time while crossing the toll plaza. For modeling lane selection for vehicles, the PTV Vissim component object model application programming interface—which enables dynamic route choice—was used. From the results it was observed that the simulation model accurately represented the current operations at the toll plaza. Scenarios, such as implementing a number plate recognition technology and segregating lanes for different vehicle types to improve the level of service, were evaluated with the simulation model.

Practical Methods for Imputing Follower Count Dynamics

2020 ◽  
pp. 004912412092621
Author(s):  
C. Ben Gibson ◽  
Jeannette Sutton ◽  
Sarah K. Vos ◽  
Carter T. Butts
Keyword(s):  
Missing Values ◽  
Linear Models ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Application Programming Interface ◽  
System Failures ◽  
Binomial Regression ◽  
Application Programming ◽  
Programming Interface

Microblogging sites have become important data sources for studying network dynamics and information transmission. Both areas of study, however, require accurate counts of indegree, or follower counts; unfortunately, collection of complete time series on follower counts can be limited by application programming interface constraints, system failures, or temporal constraints. In addition, there is almost always a time difference between the point at which follower counts are queried and the time a user posts a tweet. Here, we consider the use of three classes of simple, easily implemented methods for follower imputation: polynomial functions, splines, and generalized linear models. We evaluate the performance of each method via a case study of accounts from 236 health organizations during the 2014 Ebola outbreak. For accurate interpolation and extrapolation, we find that negative binomial regression, modeled separately for each account, using time as an interval variable, accurately recovers missing values while retaining narrow prediction intervals.

scholarly journals Why Experimental Interfaces Should Include an Application Programming Interface

2015 ◽  
Vol 6 (2) ◽  
Author(s):  
Stan Ruecker ◽  
Peter Hodges ◽  
Nayaab Lokhadwala ◽  
Szu-Ying Ching ◽  
Jennifer Windsor ◽  
...  
Keyword(s):  
Application Programming Interface ◽  
The Other ◽  
Computer Interfaces ◽  
Human Computer Interfaces ◽  
Application Programming ◽  
Boolean Queries ◽  
Visual Construction ◽  
The One ◽  
Programming Interface

An Application Programming Interface (API) can serve as a mechanism for separating interface concerns on the one hand from data and processing on the other, allowing for easier implementation of alternative human-computer interfaces. The API can also be used as a sounding board for ideas about what an interface should and should not accomplish. Our discussion will take as its case study our recent work in designing experimental interfaces for the visual construction of Boolean queries, for a project we have previously called the Mandala Browser.

scholarly journals Parallel Computing for Rolling Mill Process with a Numerical Treatment of the LQR Problem

2020 ◽  
Vol 1 (1) ◽  
pp. 11-30
Author(s):  
John Anderson Gómez Múnera ◽  
Alejandro Giraldo Quintero
Keyword(s):  
Parallel Computing ◽  
Rolling Mill ◽  
Application Programming Interface ◽  
Processing Elements ◽  
Lqr Problem ◽  
Application Programming ◽  
Multiple Processing ◽  
Mill Process ◽  
Programming Interface

The considerable increase in computation of the optimal control problems has in many cases overflowed the computing capacity available to handle complex systems in real time. For this reason, alternatives such as parallel computing are studied in this article, where the problem is worked out by distributing the tasks among several processors in order to accelerate the computation and to analyze and investigate the reduction of the total time of calculation the incremental gradually the processors used in it. We explore the use of these methods with a case study represented in a rolling mill process, and in turn making use of the strategy of updating the Phase Finals values for the construction of the final penalty matrix for the solution of the differential Riccati Equation. In addition, the order of the problem studied is increasing gradually for compare the improvements achieved in the models with major dimension. Parallel computing alternatives are also studied through multiple processing elements within a single machine or in a cluster via OpenMP, which is an application programming interface (API) that allows the creation of shared memory programs.

scholarly journals Using Natural Language Preprocessing Architecture (NLPA) for Big Data Text Sources

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
María Novo-Lourés ◽  
Reyes Pavón ◽  
Rosalía Laza ◽  
David Ruano-Ordas ◽  
Jose R. Méndez
Keyword(s):  
Big Data ◽  
Natural Language ◽  
Semantic Information ◽  
Application Programming Interface ◽  
Unstructured Data ◽  
Application Programming ◽  
Text Preprocessing ◽  
Programming Interface ◽  
Proper Analysis

During the last years, big data analysis has become a popular means of taking advantage of multiple (initially valueless) sources to find relevant knowledge about real domains. However, a large number of big data sources provide textual unstructured data. A proper analysis requires tools able to adequately combine big data and text-analysing techniques. Keeping this in mind, we combined a pipelining framework (BDP4J (Big Data Pipelining For Java)) with the implementation of a set of text preprocessing techniques in order to create NLPA (Natural Language Preprocessing Architecture), an extendable open-source plugin implementing preprocessing steps that can be easily combined to create a pipeline. Additionally, NLPA incorporates the possibility of generating datasets using either a classical token-based representation of data or newer synset-based datasets that would be further processed using semantic information (i.e., using ontologies). This work presents a case study of NLPA operation covering the transformation of raw heterogeneous big data into different dataset representations (synsets and tokens) and using the Weka application programming interface (API) to launch two well-known classifiers.

scholarly journals Bike-sharing system in Poznan – what will Web API data tell us?

2020 ◽  
Vol 23 (3) ◽  
pp. 29-40
Author(s):  
Michał Dzięcielski ◽  
Adam Radzimski ◽  
Marcin Woźniak
Keyword(s):  
Web Application ◽  
Geographical Information Systems ◽  
Application Programming Interface ◽  
Geographical Information ◽  
Urban Mobility ◽  
Bike Sharing ◽  
Research Procedure ◽  
Application Programming ◽  
Programming Interface

Bike-sharing systems, also known as public bicycles, are among the most dynamically developing mobility solutions in contemporary cities. In the past decade, numerous Polish cities hoping to increase the modal share of cycling have also adopted bike-sharing. Such systems continuously register user movements through installed sensors. The resulting database allows a highly detailed representation of this segment of urban mobility. This article illustrates how a database accessed via a Web API (Web Application Programming Interface) could be used to investigate the spatial distribution of trips, using the case study of Poznań, the fifth-largest city in Poland. Using geographical information systems, we identify the hot spots of bike-sharing as well as areas with low usage. The research procedure outlined in the paper provides knowledge that allows better responding to users’ needs.

scholarly journals Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner

2018 ◽  
Vol 33 (5) ◽  
pp. 804-816 ◽  
Author(s):  
Sergio Iserte ◽  
Héctor Martínez ◽  
Sergio Barrachina ◽  
Maribel Castillo ◽  
Rafael Mayo ◽  
...  
Keyword(s):  
High Performance ◽  
Application Programming Interface ◽  
Scientific Applications ◽  
Management Of Resources ◽  
Application Programming ◽  
High Performance Computer ◽  
Malleable Jobs ◽  
Programming Interface ◽  
Process Level

Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of executing malleable jobs as part of a high performance computer workload are the throughput increase and the more efficient utilization of the underlying resources. Malleability has been mostly applied to iterative applications where all the processes execute the same operations over different sets of data and with a balanced per process load. Unfortunately, not all scientific applications adhere to this process-level malleable job structure. There are scientific applications which are either noniterative or present an irregular per process load distribution. Unlike many other reconfiguration tools, the Dynamic Management of Resources Application Programming Interface (DMR API) provides the necessary flexibility to make malleable these out-of-target applications. In this article, we study the particular case of using the DMR API to generate a malleable version of HPG aligner, a distributed-memory noniterative genomic sequencer featuring an irregular communication pattern among processes. Through this first conversion of an out-of-target application to a malleable job, we both illustrate how the DMR API may be used to convert this type of applications into malleable and test the benefits of this conversion in production clusters. Our experimental results reveal an important reduction of the malleable HPG aligner jobs completion time compared to the original HPG aligner version. Furthermore, HPG aligner malleable workloads achieve a greater throughput than their fixed counterparts.

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

Sign in / Sign up

Export Citation Format

Share Document