scholarly journals Niche-Market Tour Operators and Mass-Market On–Line Travel Agencies: The Case-Study of U.S. Organized Tourism to Italy

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Oricchio Romina ◽  
Testa Silvia ◽  
Nicolò Costa
Keyword(s):  
Mass Market ◽  
Niche Market ◽  
Travel Agencies ◽  
On Line

On-line Tropical Epidemiology -A Case-Study from The Gambia

1987 ◽  
Vol 26 (02) ◽  
pp. 73-76 ◽  
Author(s):  
Kathryn Rowan ◽  
P. Byass ◽  
R. W. Snow
Keyword(s):  
Data Collection ◽  
Field Trial ◽  
Error Rates ◽  
Database Management System ◽  
Bed Nets ◽  
Completion Rates ◽  
On Line ◽  
Access To Data ◽  
Rapid Processing

SummaryThis paper reports on a computerised approach to the management of an epidemiological field trial, which aimed at determining the effects of insecticide-impregnated bed nets on the incidence of malaria in children. The development of a data system satisfying the requirements of the project and its implementation using a database management system are discussed. The advantages of this method of management in terms of rapid processing of and access to data from the study are described, together with the completion rates and error rates observed in data collection.

RECYCLED WATER RISK PERCEPTION - A COMPARISON OF TWO CASE STUDIES

2007 ◽  
Vol 2 (4) ◽  
Author(s):  
A. Hurlimann
Keyword(s):  
Risk Perception ◽  
Case Studies ◽  
Perceived Risk ◽  
Capital City ◽  
Recycled Water ◽  
Urban Centre ◽  
On Line ◽  
Line Survey ◽  
Water Uses

This paper reports results from a study comparing perceived risk associated with various recycled water uses in two Australian locations, both in the state of Victoria: the capital city Melbourne, and Bendigo a regional urban centre. Both locations are experiencing ‘drought’, but Bendigo is experiencing this in a more acute manner. A case study is used in each location. Both case studies involve future use of recycled water in new commercial buildings. An on-line survey was used to measure attitudes to recycled water of the future occupants of both buildings. The study found perceived risk associated with 11 uses of recycled water increased as the use became increasingly personal. Interestingly, no difference in perceived risk associated with 11 uses of recycled water was found between locations. Prior experience (use) of recycled water was found to be a significant and positive factor in reducing risk perception. Various attitudinal variables were found to be significant influences on perceived risk. Results indicate that reducing perceived risk of recycled water use may increase satisfaction with its use.

scholarly journals DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensors in Real-Life Deployments—A Case Study in the Smart Lab of The University of Almería

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 405
Author(s):  
Marcos Lupión ◽  
Javier Medina-Quero ◽  
Juan F. Sanjuan ◽  
Pilar M. Ortigosa
Keyword(s):  
Real Time ◽  
Activity Recognition ◽  
Real Life ◽  
Recognition System ◽  
Machine Learning Algorithms ◽  
Sensor Data ◽  
Heterogeneous Sensors ◽  
On Line ◽  
The University

Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System) where data from heterogeneous sensors are evaluated in real time, including binary, wearable and location sensors. Different descriptors and metrics from the heterogeneous sensor data are integrated in a common feature vector whose extraction is developed by a sliding window approach under real-time conditions. DOLARS provides a distributed architecture where: (i) stages for processing data in AR are deployed in distributed nodes, (ii) temporal cache modules compute metrics which aggregate sensor data for computing feature vectors in an efficient way; (iii) publish-subscribe models are integrated both to spread data from sensors and orchestrate the nodes (communication and replication) for computing AR and (iv) machine learning algorithms are used to classify and recognize the activities. A successful case study of daily activities recognition developed in the Smart Lab of The University of Almería (UAL) is presented in this paper. Results present an encouraging performance in recognition of sequences of activities and show the need for distributed architectures to achieve real time recognition.

scholarly journals Innovation on Wheels in Emerging Economies: Lessons from Auto MNC’s Experience

2016 ◽  
Vol 11 (8) ◽  
pp. 44 ◽  
Author(s):  
Rifat Sharmelly
Keyword(s):  
Emerging Economies ◽  
Product Innovation ◽  
Developed Countries ◽  
Multinational Companies ◽  
Value For Money ◽  
Mass Market ◽  
Innovative Performance ◽  
The Creation ◽  
Acceptability Criteria

Emerging economies (EEs) are increasingly being considered as new sources of growth and innovation opportunities for global auto multinational companies. Many multinational companies from developed countries are eager to prosper in these economies. However, the crucial challenge that companies face today is to identify what precisely are the approaches required to serve mass market customers in EEs. In this research, the case study of a foreign auto multinational operating in India has been utilized. Focusing on the product innovation for the Indian masses with the creation of the most affordable car ‘Figo’ from the reputed auto multinational Ford, this analysis reveal the importance of engaging same set of suppliers in trust based, recurrent collaborative linkages to enhance the innovative performance. In addition, ensuring an effective value-for-money proposition is needed to achieve innovations with required affordability and acceptability criteria. Furthermore, experimenting with modules and resultant learning about markets are needed to enhance the innovative performance. With the suggested testable propositions, this study has significant theoretical contributions as well as implications for managers of aspiring companies intending to serve EEs.

Case study: collaborative creation of an on‐line degree program

2006 ◽  
Vol 43 (3) ◽  
pp. 197-210 ◽  
Author(s):  
Barbara L. Stewart ◽  
Marcella Norwood ◽  
Shirley Ezell ◽  
Consuelo Waight
Keyword(s):  
Degree Program ◽  
On Line

Urban Fault Detection based on AETA: A Case Study on Line 9 Subway of Shenzhen, China

2021 ◽  
Author(s):  
Shanshan Yong ◽  
Qinmeng Guo ◽  
Xin'An Wang ◽  
Jing Wang ◽  
Chao Yang ◽  
...  
Keyword(s):  
Fault Detection ◽  
On Line

scholarly journals Early Evaluation of Copper Radioisotope Production at ISOLPHARM

Molecules ◽  
2018 ◽  
Vol 23 (10) ◽  
pp. 2437 ◽  
Author(s):  
Francesca Borgna ◽  
Michele Ballan ◽  
Chiara Favaretto ◽  
Marco Verona ◽  
Marianna Tosato ◽  
...  
Keyword(s):  
Nuclear Physics ◽  
Specific Activity ◽  
Isotope Separation ◽  
Pure Copper ◽  
Mass Separation ◽  
Monte Carlo Code ◽  
Early Evaluation ◽  
On Line ◽  
Isol Facility

The ISOLPHARM (ISOL technique for radioPHARMaceuticals) project is dedicated to the development of high purity radiopharmaceuticals exploiting the radionuclides producible with the future Selective Production of Exotic Species (SPES) Isotope Separation On-Line (ISOL) facility at the Legnaro National Laboratories of the Italian National Institute for Nuclear Physics (INFN-LNL). At SPES, a proton beam (up to 70 MeV) extracted from a cyclotron will directly impinge a primary target, where the produced isotopes are released thanks to the high working temperatures (2000 °C), ionized, extracted and accelerated, and finally, after mass separation, only the desired nuclei are collected on a secondary target, free from isotopic contaminants that decrease their specific activity. A case study for such project is the evaluation of the feasibility of the ISOL production of 64Cu and 67Cu using a zirconium germanide target, currently under development. The producible activities of 64Cu and 67Cu were calculated by means of the Monte Carlo code FLUKA, whereas dedicated off-line tests with stable beams were performed at LNL to evaluate the capability to ionize and recover isotopically pure copper.

A Case Study of Optimizing Combined Cycle Performance at Kalaeloa

2009 ◽  
Author(s):  
Helmer Andersen
Keyword(s):  
Power Plants ◽  
Performance Monitoring ◽  
Combined Cycle ◽  
Plant Performance ◽  
Operational Performance ◽  
Cycle Performance ◽  
Monitoring Tools ◽  
Online Performance Monitoring ◽  
On Line

Fuel is by far the largest expenditure for energy production for most power plants. New tools for on-line performance monitoring have been developed for reducing fuel consumption while at the same time optimizing operational performance. This paper highlights a case study where an online performance-monitoring tool was employed to continually evaluate plant performance at the Kalaeloa Combined Cycle Power Plant. Justification for investment in performance monitoring tools is presented. Additionally the influence of various loss parameters on the cycle performance is analyzed with examples. Thus, demonstrating the potential savings achieved by identifying and correcting the losses typically occurring from deficiencies in high impact component performance.

Sign in / Sign up

Export Citation Format

Share Document