Using Online Data to Explore Competitive Airline Pricing Policies

2010 ◽  
Vol 2184 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Stacey Mumbower ◽  
Laurie A. Garrow
Keyword(s):  
Online Data ◽  
Airline Pricing ◽  
Pricing Policies

scholarly journals A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1827
Author(s):  
Moussa Coulibaly ◽  
Ahmed Errami ◽  
Sofia Belkhala ◽  
Hicham Medromi
Keyword(s):  
Data Collection ◽  
Smart Cities ◽  
The Internet ◽  
Online Data ◽  
Work Related ◽  
Pricing Policies ◽  
Data Flows ◽  
Smart Parking ◽  
Multi Agent ◽  
Future Work

Smart Parking is essential for any future smart cities due to the tremendous growth of the car fleet. Such infrastructures require a certain amount of equipment. Indeed, smart parking integrates a lot of actors, to manage the parking its equipment must be managed accordingly. Here, is proposed a distributed architecture to manage them by collecting efficiently their data. Two types of data relating to the parking must be collected: those coming from the deployed equipment in the parking and those coming from the internet due to remote users. Thus, a system of two main servers based on the multi-agent concept is proposed. This system manages the parking platform. The first server is dedicated to the parking equipment data collection (Processing Server–PS). The second server (Processing Web Server–PWS) collects the users’ online data such as reservation, and it is responsible for pricing policies, and receive post-processed data from the Processing Server. The parking equipment integrates a lot of commercial solutions, an intelligent multi-platform application based on this two server philosophy is developed and can be used for parking operation by users and parking managers. The flowcharts of the agents from the two mains servers are presented. These flowcharts are currently used in our demonstrator and still under improvements. Here, we present the architecture (hardware and software) of our smart parking demonstrator developed by our department and suitable for the experimentation of our future work related to this hot topic.

Reliability of MTurk Data From Masters and Workers

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse
Keyword(s):  
Cognitive Abilities ◽  
Online Survey ◽  
Quality Data ◽  
Standard Samples ◽  
Online Data ◽  
Approval Ratings ◽  
Cognitive Abilities Test ◽  
Elite Status ◽  
Master Status ◽  
Amazon's Mechanical Turk

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.

The Use of Port Performance Indexes in the Transport Economy and the Strengthening of Port Competitiveness

2019 ◽  
Vol 10 (5) ◽  
pp. 387-394
Author(s):  
Astrida Rijkure ◽  
Keyword(s):  
Quality Assurance ◽  
Performance Indicators ◽  
Management Practices ◽  
International Competitiveness ◽  
International Experience ◽  
Multimodal Integration ◽  
Pricing Policies ◽  
Performance Indexes ◽  
Quality Assurance Process ◽  
Assurance Process

Ports in the transport economy have an important role to play in the competitiveness of ports. There is an increasing climate of competition, which causes ports to invest in development and to improve their transport corridors, governance principles and pricing policies in order to strengthen international competitiveness of ports and to ensure that their management practices are in line with the positive international experience. In order to increase the efficiency of transport, to promote the use of environmentally friendly technologies and to improve the international competitiveness of port transport corridors, it is important for ports to determine their own KPI indicators that would be used to assess port performance indicators. As ports are responsible for the quality assurance of port services, even if they do not provide such services, monitoring and assessing of the KPI must be part of the quality assurance process. The objective of this study is to define the port performance-enhancing KPI indexes and to make suggestions for how KPI application in the transport economy can strengthen the international competitiveness of ports and ensure that their management practises international experience. The study’s tasks are to define the appropriate KPI indexes, group them according to interlinked principles, and provide proposals on how to use them to improve the international competitiveness of ports and the main transport system multimodal integration.

Analyzing Small Signal Stability of Power System based on Online Data by Use of SMES

2009 ◽  
Vol 129 (11) ◽  
pp. 1290-1298
Author(s):  
Hiroyuki Ishikawa ◽  
Yasuyuki Shirai ◽  
Tanzo Nitta ◽  
Katsuhiko Shibata
Keyword(s):  
Power System ◽  
Small Signal ◽  
Small Signal Stability ◽  
Online Data ◽  
Signal Stability

Transient Stability Multi Swing Step-out Prediction with Online Data Mining

2016 ◽  
Vol 136 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Takuya Omi ◽  
Hiroto Kakisaka ◽  
Shinichi Iwamoto
Keyword(s):  
Data Mining ◽  
Transient Stability ◽  
Online Data
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