scholarly journals Offline Route planner using Web Automation

2020 ◽  
Vol 6 (12) ◽  
pp. 365-369
Author(s):  
Prabhdeep Singh Bagga, Narinder Kaur
Keyword(s):  
Data Transfer ◽  
Data Extraction ◽  
Research Project ◽  
Online Data ◽  
Transfer Data ◽  
Web Testing ◽  
Efficient Route ◽  
Optimum Route ◽  
Automation Tools

Automation refers to decreasing repetitive human work, tedious tasks, and minimizing the errors. With the correct automation tools, it's possible to automate browser tasks, web testing, and online data extraction, to fill forms, scrape data, transfer data between applications, and generate reports. The research project focuses on automating the task of placing an order of particular set of items from an online website. The main aim of the project is planning the most efficient route to visit all your stoppages and reach your destination. It automates the process of finding the most optimum route and saves a PDF of commute details to your disk.

scholarly journals Automated E-Commerce and Web Automation using Puppeteer

2020 ◽  
Vol 6 (12) ◽  
pp. 277-281
Author(s):  
Arshdeep Singh Sachdeva and Shreya Kapoor
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Transfer ◽  
Data Extraction ◽  
Research Project ◽  
Online Data ◽  
Transfer Data ◽  
Web Testing ◽  
Automation Tools

Automation replaces human work in repetitive, tedious tasks, and minimizes the quantity of errors. With the correct automation tools, it's possible to automate browser tasks, web testing, and online data extraction, to fill forms, scrape data, transfer data between applications, and generate reports. In this paper we will discuss about Automated E-Commerce website. The research project focuses on automating the task of placing an order of particular set of items from an online website. The idea is to save time and effort of the user by automating every task from signing in to adding products to the cart and filling up all the forms and placing order. The project also aims at providing the user a Real Time notification through mail for any Price Drops for a particular product that the user wishes to buy in future. Therefore, it also acts as a Price Monitoring System. There are various automation tools out of which we will discuss about Puppeteer.

Optimization Algorithms for Data Transfer in the Grid Environment

2012 ◽  
pp. 502-516
Author(s):  
Muzhou Xiong ◽  
Hai Jin
Keyword(s):  
Data Transfer ◽  
Optimization Algorithms ◽  
Experimental Results ◽  
Grid Environment ◽  
Transfer Data ◽  
Multiple Data ◽  
Transfer Channel ◽  
Efficient Data ◽  
Global Connection

In this chapter, two algorithms have been presented for supporting efficient data transfer in the Grid environment. From a node’s perspective, a multiple data transfer channel can be formed by selecting some other nodes as relays in data transfer. One algorithm requires the sender to be aware of the global connection information while another does not. Experimental results indicate that both algorithms can transfer data efficiently under various circumstances.

Data Transfer from Heterogeneous CAD to Division Mockup Virtual Prototype

2007 ◽  
Vol 10-12 ◽  
pp. 456-459 ◽  
Author(s):  
B. Yuan ◽  
Wei Xiong ◽  
Zu Wen Wang
Keyword(s):  
Virtual Reality ◽  
Design Process ◽  
Data Transfer ◽  
Virtual Prototype ◽  
Digital Model ◽  
Cad Model ◽  
Model Data ◽  
Transfer Data ◽  
Virtual Prototype Technology ◽  
Prototype Software

Virtual prototype technology could integrate different CAD formats parts into an digital model. In this way the design process will be more efficient. This issue reviewed three methods to transfer data from CAD parts to virtual reality element. And find an efficient way to transfer different CAD model data to virtual prototype software Division MockUp.

scholarly journals Helping Novices Avoid the Hazards of Data: Leveraging Ontologies to Improve Model Generalization Automatically with Online Data Sources

AI Magazine ◽  
2016 ◽  
Vol 37 (2) ◽  
pp. 19-32 ◽  
Author(s):  
Sasin Janpuangtong ◽  
Dylan A. Shell
Keyword(s):  
Domain Knowledge ◽  
Large Scale ◽  
Model Building ◽  
Data Extraction ◽  
Data Sources ◽  
Online Data ◽  
Model Generalization ◽  
Improve Model ◽  
Building Process ◽  
High Level

The infrastructure and tools necessary for large-scale data analytics, formerly the exclusive purview of experts, are increasingly available. Whereas a knowledgeable data-miner or domain expert can rightly be expected to exercise caution when required (for example, around fallacious conclusions supposedly supported by the data), the nonexpert may benefit from some judicious assistance. This article describes an end-to-end learning framework that allows a novice to create models from data easily by helping structure the model building process and capturing extended aspects of domain knowledge. By treating the whole modeling process interactively and exploiting high-level knowledge in the form of an ontology, the framework is able to aid the user in a number of ways, including in helping to avoid pitfalls such as data dredging. Prudence must be exercised to avoid these hazards as certain conclusions may only be supported if, for example, there is extra knowledge which gives reason to trust a narrower set of hypotheses. This article adopts the solution of using higher-level knowledge to allow this sort of domain knowledge to be used automatically, selecting relevant input attributes, and thence constraining the hypothesis space. We describe how the framework automatically exploits structured knowledge in an ontology to identify relevant concepts, and how a data extraction component can make use of online data sources to find measurements of those concepts so that their relevance can be evaluated. To validate our approach, models of four different problem domains were built using our implementation of the framework. Prediction error on unseen examples of these models show that our framework, making use of the ontology, helps to improve model generalization.

Using Online Survey Software to Enhance Rigor and Efficiency of Knowledge Synthesis Reviews

2020 ◽  
Vol 42 (10) ◽  
pp. 838-845
Author(s):  
Karen Dunn Lopez ◽  
Sheila M. Gephart ◽  
Patricia E. Hershberger
Keyword(s):  
Information Technologies ◽  
Online Survey ◽  
Data Extraction ◽  
Knowledge Synthesis ◽  
Health Science ◽  
Primary Sources ◽  
Online Data ◽  
Literature Reviews ◽  
Efficient Extraction ◽  
Survey Responses

With the explosion of scientific literature, information technologies, and the rise of evidence-based health care, methodologies for literature reviews continue to advance. Yet there remains a lack of clarity about techniques to rigorously and efficiently extract and synthesize data from primary sources. We developed a new method for data extraction and synthesis for completing rigorous, knowledge synthesis using freely available online survey software that results in a review-specific, online data extraction, and synthesis tool. The purpose of this paper is to delineate this method using our published integrative review as an exemplar. Although the purpose of online survey software is to obtain and analyze survey responses, these software programs allows for the efficient extraction and synthesize of disparate study features from primary sources. Importantly, use of the method has the potential to increase the rigor and efficiency of published reviews bringing the promise of advancing multiple areas of health science.

Research on Control System of Tropical Intelligent Agriculture in Hainan

2013 ◽  
Vol 385-386 ◽  
pp. 923-926 ◽  
Author(s):  
Ying Bo Kan ◽  
Ling Ling Wang ◽  
Yi Shan Zhang ◽  
En Ping Liu
Keyword(s):  
Control System ◽  
Data Transfer ◽  
Agricultural Technology ◽  
Tropical Agriculture ◽  
Affecting Factors ◽  
Agricultural Policies ◽  
Key Technology ◽  
Transfer Data ◽  
Field Management ◽  
Test Technology

Research on intelligent agriculture in our country has attracted great attention of the researchers now, but it is still under discovery. According to tropical agriculture in Hainan to IT's demand, the paper studies the key technology in the development of tropical intelligent agriculture, including automatic test technology, automatic control technology, Internet of Things and so on. This paper analyzes factors that affect tropical intelligent agricultures development, which include agricultural program, agricultural policies and regulations, agricultural technology situation, infrastructure construction, field management and other factors. The thesis builds a model between the development of tropical intelligent agriculture and its affecting factors. A developmental idea of tropical intelligent agriculture in Hainan is proposed on the basis of the model. The thesis analyzes the construction of intelligent agriculture control system in Hainan from the angles of data acquisition, data transfer, data analysis and data feed.

The Research of Heterogeneous Database Migration Based on XML and Middleware

2014 ◽  
Vol 556-562 ◽  
pp. 3350-3353
Author(s):  
Sai Dong Lv ◽  
Yao Wen Xia
Keyword(s):  
Data Transfer ◽  
Data Extraction ◽  
Heterogeneous Database ◽  
Xml Documents ◽  
Source Database ◽  
Xml Document ◽  
Cross Platform ◽  
Target Database ◽  
New System ◽  
System Upgrades

For many government departments or enterprises to use new system upgrades, data transfer between heterogeneous database problem, this paper puts forward a kind of heterogeneous database based on XML and middleware model of data migration.The model by using XML technology to build a middleware, through the ODBC interface connected to the source database and target database.After extracting data from the source database into a unified XML documents, again according to the mapping relationship between old and new database and XSL document, and converts it to meet the needs of the target XML document, the target database and load the data to the target database.The model including data extraction, transformation, validation, write, and other functions, is a cross-platform, easy extensibility and reusability.

scholarly journals Rancang Bangun Sistem Jaringan Menggunakan Linux Sabily pada Laboraturium Akademi Ilmu Komputer (AIKOM) Ternate

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Sitna Hajar Hadad
Keyword(s):  
Operating System ◽  
Data Collection ◽  
Teaching And Learning ◽  
Data Transfer ◽  
Learning Processes ◽  
The Internet ◽  
Network System ◽  
Transfer Data ◽  
Design And Implementation ◽  
Implementation Method

Abstrak: Tujuan Penelitian ini adalah Untuk merancang dan mengimplementasikan jaringan protokol IPv4 pada Kampus Aikom Ternate, Penelitian ini dilakukan pada Laboraturium Akademi Ilmu Komputer (AIKOM) Ternate. Teknik Pengumpulan data melaui Pustaka, Penilitian Lapangan, observasi dan interview, Metode Perancangan dan implementasi Jaringan menggunakan protokol IPv4 dengan system operasi Linux Sabily. Jaringan tersebut dibuat dengan menggunakan router yang terkoneksi IPv4 ke internet, Pengujian menggunakan Sistem Operasi Linux Sabily, data yang diuji secara realtime mengenai suhu, kecepatan transfer data dan ketersediaan sumber daya. dengan adanya Rancang Bangun Sistem Jaringan Menggunakan Linux Sabily diharapkan dapat mempermudah penyampaian materi, informasi dan proses belajar mengajar antar komputer di laboratorium Akademi Ilmu Komputer (AIKOM) TernateKata kunci: Rancang, Sistem jaringan, Linux SabilyAbstract: The purpose of this research is to design and implementation network protocol IPv4 on the campus on Akademi Ilmu Komputer (Aikom) Ternate, This research was conducted at the Laboraturium Akademi Ilmu Komputer (Aikom) Ternate. The technique of data collection through the library, Penilitian, Field observation and interview, Network design and implementation method uses the IPv4 protocol with Sabily Linux operating system, The network created by using IPv4 router connected to the internet, Testing using the operating system Linux, Sabily tested in realtime data about temperature, the speed of data transfer and availability of resources, with the network system is expected to facilitate the delivery of content, teaching and learning processes and information between computers in the lab on Akademi Ilmu Komputer (Aikom) TernateKeywords: Design, Network System, Linux Sabily

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