scholarly journals The Green Paths route planning software for exposure-optimised travel

2021 ◽  
Author(s):  
Joose Helle ◽  
Age Poom ◽  
Elias S Willberg ◽  
Tuuli Toivonen
Keyword(s):  
Traffic Noise ◽  
Route Planning ◽  
Population Level ◽  
Least Cost Path ◽  
Impedance Function ◽  
Web Based ◽  
External Data ◽  
Planning Software ◽  
Alternative Routes ◽  
Python Programming

Green Paths is a prototype of route planning software for finding exposure-optimised routes for active travel. It incorporates external data on environmental exposures, including traffic noise levels, air quality, and street-level greenery into the street and paths network produced by the OpenStreetMap project. Written in the Python programming language, the software applies a novel environmental impedance function in the least cost path routing to find exposure-optimised routes. Routes for externally defined origin-destination pairs can be queried via a RESTful API. The API returns alternative routes equipped with rich exposure data. The published version of the software has been applied in population level environmental exposure assessment and in an end-user-oriented web-based route planner application designed for use in the Helsinki Metropolitan Area.

As-RaD System as a Design Model of the Network Automation Configuration System Based on the REST-API and Django Framework

2020 ◽  
pp. 291-298
Author(s):  
Adian Fatchur Rochim ◽  
Abda Rafi ◽  
Adnan Fauzi ◽  
Kurniawan Teguh Martono
Keyword(s):  
Information Technology ◽  
Application Programming Interface ◽  
Design Model ◽  
Automation System ◽  
Network Configuration ◽  
Web Based ◽  
Representational State Transfer ◽  
Application Programming ◽  
Rest Api ◽  
Python Programming

The use of information technology these days are very high. From business through education activities tend to use this technology most of the time. Information technology uses computer networks for integration and management data. To avoid business problems, the number of network devices installed requires a manageable network configuration for easier maintenance. Traditionally, each of network devices has to be manually configured by network administrators. This process takes time and inefficient. Network automation methods exist to overcome the repetitive process. Design model uses a web-based application for maintenance and automates networking tasks. In this research, the network automation system implemented and built a controller application that used REST API (Representational State Transfer Application Programming Interface) architecture and built by Django framework with Python programming language. The design modeled namely As-RaD System. The network devices used in this research are Cisco CSR1000V because it supports REST API communication to manage its network configuration and could be placed on the server either. The As-RaD System provides 75% faster performance than Paramiko and 92% than NAPALM.

scholarly journals SWAV: a web-based visualization browser for sliding window analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Zhenglin Zhu ◽  
Yawang Wang ◽  
Xichuan Zhou ◽  
Liuqing Yang ◽  
Geng Meng ◽  
...  
Keyword(s):  
Evolutionary Biology ◽  
Genetic Test ◽  
Sliding Window ◽  
Population Level ◽  
Test Statistics ◽  
Alignment Position ◽  
Web Based ◽  
Window Analysis ◽  
High Throughput Dna Sequencing ◽  
Or Gene

AbstractSliding window analysis has been extensively applied in evolutionary biology. With the development of the high-throughput DNA sequencing of organisms at the population level, an application that is dedicated to visualizing population genetic test statistics at the genomic level is needed. We have developed the sliding window analysis viewer (SWAV), which is a web-based program that can be used to integrate, view and browse test statistics and perform genome annotation. In addition to browsing, SAV can mark, generate and customize statistical images and search by sequence alignment, position or gene name. These features facilitate the effectiveness of sliding window analysis. As an example application, yeast and silkworm resequencing data are analyzed with SWAV. The SWAV package, user manual and usage demo are available at http://swav.popgenetics.net.

scholarly journals multiSLIDE: a web server for exploring connected elements of biological pathways in multi-omics data

2019 ◽  
Author(s):  
Soumita Ghosh ◽  
Abhik Datta ◽  
Hyungwon Choi
Keyword(s):  
Keyword Search ◽  
Data Sets ◽  
Omics Data ◽  
Web Based ◽  
Molecular Features ◽  
External Data ◽  
Cluster Data ◽  
Wide Range ◽  
Time Basis ◽  
Gene Ontologies

AbstractEmerging multi-omics experiments pose new challenges for exploration of quantitative data sets. We present multiSLIDE, a web-based interactive tool for simultaneous heatmap visualization of interconnected molecular features in multi-omics data sets. multiSLIDE operates by keyword search for visualizing biologically connected molecular features, such as genes in pathways and Gene Ontologies, offering convenient functionalities to rearrange, filter, and cluster data sets on a web browser in a real time basis. Various built-in querying mechanisms make it adaptable to diverse omics types, and visualizations are fully customizable. We demonstrate the versatility of the tool through three example studies, each of which showcases its applicability to a wide range of multi-omics data sets, ability to visualize the links between molecules at different granularities of measurement units, and the interface to incorporate inter-molecular relationship from external data sources into the visualization. Online and standalone versions of multiSLIDE are available at https://github.com/soumitag/multiSLIDE.

scholarly journals Pharmosome: an integrative and collective database for exploration and analysis of single nucleotide polymorphisms associated with disease

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 14 ◽  
Author(s):  
Peter T. Habib ◽  
Alsamman M. Alsamman ◽  
Sameh E. Hassanein ◽  
Kerolos M. Yousef ◽  
Aladdin Hamwieh
Keyword(s):  
Phylogenetic Trees ◽  
Drug Response ◽  
Nucleotide Polymorphisms ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Web Based ◽  
Consensus Sequences ◽  
Python Programming ◽  
User Friendly ◽  
To Receive

Current single nucleotide polymorphism (SNP) databases are limited to a narrow set of SNPs, which has led to a lack of interactivity between different databases, limited tools to analyze and manipulate the already existing data, and complexity in the graphical user interface. Here we introduce Pharmosome, a web-based, user-friendly and collective database for more than 30,000 human disease-related SNPs, with dynamic pipelines to explore SNPs associated with disease development, drug response and the pathways shared between different genes related to these SNPs. Pharmosome implements several tools to design primers to detect SNPs in large genomes and facilitates analysis of different SNPs to determine relationships between them by aligning sequences, constructing phylogenetic trees, and providing consensus sequences illustrating the connections between SNPs. Pharmosome was written in the Python programming language using the Django web framework in combination with HTML, CSS, and JavaScript to receive user inputs, and process and export the sorted result to the interface. Pharmosome is available from: https://pharmosome.herokuapp.com/.

scholarly journals RESTful API Implementation in Making a Master Data Planogram Using the Flask Framework (Case Study: PT Sumber Alfaria Trijaya, Tbk)

2020 ◽  
Vol 5 (3) ◽  
pp. 255
Author(s):  
Era Susanti ◽  
Evangs Mailoa
Keyword(s):  
Marketing Strategy ◽  
Consumer Spending ◽  
Web Based ◽  
Python Programming Language ◽  
Master Data ◽  
Data Application ◽  
Product Displays ◽  
Python Programming ◽  
Retail Company

One of developing  retail company and is one of the biggest retail companies in Indonesia, namely Alfamart which is owned by PT. Sumber Alfaria Trijaya, Tbk. Alfamart must have the best marketing strategy and increase innovation for the satisfaction of customers in order to survive in high business competition. One strategy to improve marketing is the arrangement of product displays in stores known as planograms. Planogram is a concept that is used in planning the arrangement and placement of products according to certain categories based on consumer spending habits that aim to increase sales at retail. This research was conducted to create a web-based planogram master application using the Flask framework with the python programming language. The method used in this study is the RESTful API, which is the implementation of web services that work through HTTP links. This research produces a web-based master data application that can be used by users in entering data needed in making a planogram.Keywords: RESTful API, Python Flask, Planogram

scholarly journals Programmatically encrypting data linkage fields at a project level within the Secure Anonymised Information Linkage (SAIL) databank

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Richard Noyce ◽  
Dan Thayer
Keyword(s):  
Data Linkage ◽  
Query Language ◽  
Lookup Table ◽  
Web Tool ◽  
Timely Manner ◽  
Web Based ◽  
Multiple Datasets ◽  
Log Steps ◽  
Python Programming ◽  
Project Level

ABSTRACT Introduction/BackgroundThe ability to link datasets within the Secure Anonymised Information Linkage (SAIL) databank provides researchers with a powerful tool to analyse multiple datasets. The ability to combine several datasets also has the adverse effect of potential identification of an individual. Further encrypting linkage fields at a project level limits the links to datasets specific to the project only. This presentation discusses the opensource web based administration tool that programmatically applies project encryption in a consistent and timely manner, logging administrator actions. Objectives1). Identify encryption methodology2). Programme encryption steps and log steps 3). Design and implement web based user administration tool ApproachUtilising existing Secure Anonymised Information Linkage (SAIL) databank security, providing researchers with a view of their data, separating data linkage fields into a separate secure lookup table. Using Python programming language to automate the Structured Query Language (SQL) scripts required to accomplish this, as well as Python packages to interact with the databank and web based administration tool. ResultsProject encrypted views created for several projects and scores of datasets. Encrypted linkage fields unique to each project ensuring views across projects can not be linked either to each other or the original datasets. ConclusionEncryption process is programmable and administered through web tool.

scholarly journals Frogs adapt to physiologically costly anthropogenic noise

2018 ◽  
Vol 285 (1891) ◽  
pp. 20182194 ◽  
Author(s):  
Jennifer B. Tennessen ◽  
Susan E. Parks ◽  
Lindsey Swierk ◽  
Laura K. Reinert ◽  
Whitney M. Holden ◽  
...  
Keyword(s):  
Stress Responses ◽  
Anthropogenic Disturbance ◽  
Noise Exposure ◽  
Traffic Noise ◽  
Rana Sylvatica ◽  
Population Level ◽  
Ecological Processes ◽  
Wood Frogs ◽  
Selective Pressures ◽  
Anthropogenic Stressor

Human activities impose novel pressures on amphibians, which are experiencing unprecedented global declines, yet population-level responses are poorly understood. A growing body of literature has revealed that noise is an anthropogenic stressor that impacts ecological processes spanning subcellular to ecosystem levels. These consequences can impose novel selective pressures on populations, yet whether populations can adapt to noise is unknown. We tested for adaptation to traffic noise, a widespread sensory ‘pollutant’. We collected eggs of wood frogs ( Rana sylvatica ) from populations from different traffic noise regimes, reared hatchlings under the same conditions, and tested frogs for differences in sublethal fitness-relevant effects of noise. We show that prolonged noise impaired production of antimicrobial peptides associated with defence against disease. Additionally, noise and origin site interacted to impact immune and stress responses. Noise exposure altered leucocyte production and increased baseline levels of the stress-relevant glucocorticoid, corticosterone, in frogs from quiet sites, but noise-legacy populations were unaffected. These results suggest noise-legacy populations have adapted to avoid fitness-relevant physiological costs of traffic noise. These findings advance our understanding of the consequences of novel soundscapes and reveal a pathway by which anthropogenic disturbance can enable adaptation to novel environments.

Passport: parallel land route planning software

2002 ◽  
Author(s):  
V. Delle Donne ◽  
E. Reiher ◽  
R. Wolfe ◽  
G. Vezina ◽  
V. Van Dongen
Keyword(s):  
Route Planning ◽  
Planning Software

scholarly journals COMPARATIVE ANALYSIS AND IMPLEMENTATION OF DIJKSTRA'S SHORTEST PATH ALGORITHM FOR EMERGENCY RESPONSE AND LOGISTIC PLANNING

2017 ◽  
Vol 36 (3) ◽  
pp. 876-888
Author(s):  
AH Eneh ◽  
UC Arinze
Keyword(s):  
Shortest Path ◽  
Spatial Data ◽  
Unified Modeling Language ◽  
Route Planning ◽  
Past Research ◽  
Planning System ◽  
Web Based ◽  
Goods And Services ◽  
Shortest Path Algorithms ◽  
Pilot Implementation

TransRoute: a web-based vehicle route planning application is proposed in this paper. This application leverages existing input-output (I/O) efficient implementations of shortest path algorithms (SPAs) to implement the proposed system that will fundamentally address the problems experienced in moving people, goods and services from one location to another. A number of SPAs are evaluated using landau notations. Main functionalities of the system will be implemented as a web-enabled geographic information system (GIS) application based on open-source technologies and object-oriented software development methodology using unified modeling language. Pilot implementation is done based on spatial data of three selected states in Nigeria, pulled from web-based mapping tools like Google Maps and Microsoft Bings respectively. In conclusion, the Dijkstra's algorithm implemented with double bucket dynamic data structure is selected for implementing the proposed route planning system, as past research efforts has proven that it is the fastest with run-time improvements from O(m + n/log C) to O(m) respectively. http://dx.doi.org/10.4314/njt.v36i3.30

A Weight-Based Road Impedance Function Model

2013 ◽  
Vol 756-759 ◽  
pp. 2750-2755 ◽  
Author(s):  
Jie Dong ◽  
Guo Jie Shen
Keyword(s):  
Network Topology ◽  
Urban Transportation ◽  
Route Planning ◽  
Planning Problem ◽  
Key Factors ◽  
Impedance Function ◽  
Impedance Model ◽  
Road Planning ◽  
Simulation Results ◽  
Path Planning Problem

Path planning problem is a popular issues in urban transportation system. Road impedance is one of the key factors in route planning. According to road length and speed, road level, traffic lamp and intersection waiting time that affect drive efficiency. A new weighted road impedance model is proposed. To get the weights of each factor in road planning, factors which influence drive efficiency are tested with different combination. In the end, the impedance model is applied to real world network topology. The simulation results show the validity and accuracy of the model.

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