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Information, Volume 11, Issue 8

August 2020 - 30 articles

Cover Story: Current intermodal freight transport is not as efficient as it could be. Often, an empty container needs to be transported from the empty container depot to the shipper, and, conversely, an empty container needs to be transported from the receiver to the empty container depot. These empty movements decrease the freight carrier’s profit, as well as add negative externalities to the environment. To this end, a binary integer-linear programming model is developed to determine each freight carrier’s optimal schedule while minimizing its operating cost. The model ensures that the cost for each carrier with collaboration is less than or equal to its cost without collaboration. It also ensures that average savings from the collaboration are shared equally among all participating carriers. View this paper
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Articles (30)

  • Article
  • Open Access
34 Citations
8,212 Views
13 Pages

Is Green Marketing a Label for Ecotourism? The Romanian Experience

  • Puiu Nistoreanu,
  • Alina-Cerasela Aluculesei and
  • Daniel Avram

8 August 2020

The focus on sustainability represents the key to the tourism industry today. Green marketing was constantly on the agenda of local authorities and started to be a subject of interest for Academia too, but it was very little approached in the Eastern...

  • Article
  • Open Access
27 Citations
6,036 Views
15 Pages

Measuring Drivers’ Physiological Response to Different Vehicle Controllers in Highly Automated Driving (HAD): Opportunities for Establishing Real-Time Values of Driver Discomfort

  • Vishnu Radhakrishnan,
  • Natasha Merat,
  • Tyron Louw,
  • Michael G. Lenné,
  • Richard Romano,
  • Evangelos Paschalidis,
  • Foroogh Hajiseyedjavadi,
  • Chongfeng Wei and
  • Erwin R. Boer

8 August 2020

This study investigated how driver discomfort was influenced by different types of automated vehicle (AV) controllers, compared to manual driving, and whether this response changed in different road environments, using heart-rate variability (HRV) an...

  • Article
  • Open Access
13 Citations
4,836 Views
9 Pages

Application of Regression Analysis to Achieve a Smart Monitoring System for Aquaculture

  • Wei-Chih Hsu,
  • Pao-Yuan Chao,
  • Chia-Sui Wang,
  • Jen-Chieh Hsieh and
  • Wesley Huang

7 August 2020

The consumption awareness of people in recent years has increased, with food safety becoming more and more important. While non-toxic products can be achieved by avoiding using too much antibiotics to control growth factors in a water environment, th...

  • Article
  • Open Access
2,932 Views
17 Pages

5 August 2020

Today, crowd computing is successfully applied for many information processing problems in a variety of domains. One of the most acute issues with crowd-powered systems is the quality of results (as humans can make errors). Therefore, a number of met...

  • Article
  • Open Access
5 Citations
5,640 Views
20 Pages

Predicting Acute Kidney Injury: A Machine Learning Approach Using Electronic Health Records

  • Sheikh S. Abdullah,
  • Neda Rostamzadeh,
  • Kamran Sedig,
  • Amit X. Garg and
  • Eric McArthur

5 August 2020

Acute kidney injury (AKI) is a common complication in hospitalized patients and can result in increased hospital stay, health-related costs, mortality and morbidity. A number of recent studies have shown that AKI is predictable and avoidable if early...

  • Article
  • Open Access
1 Citations
4,251 Views
10 Pages

3 August 2020

The purpose of this study is to examine the effect of chain restaurant employees’ perception of abusive supervision on employee satisfaction and customer satisfaction. The sample for the survey was collected from 228 customers and 93 employees...

  • Article
  • Open Access
33 Citations
10,172 Views
20 Pages

31 July 2020

The onset of COVID-19 has re-emphasized the importance of FinTech especially in developing countries as the major powers of the world are already enjoying the advantages that come with the adoption of FinTech. Handling of physical cash has been estab...

  • Article
  • Open Access
65 Citations
8,512 Views
14 Pages

29 July 2020

A micro-expression is defined as an uncontrollable muscular movement shown on the face of humans when one is trying to conceal or repress his true emotions. Many researchers have applied the deep learning framework to micro-expression recognition in...

  • Article
  • Open Access
6 Citations
3,884 Views
21 Pages

Multimodal Interaction: Correlates of Learners’ Metacognitive Skill Training Negotiation Experience

  • Dimitris Spiliotopoulos,
  • Eleni Makri,
  • Costas Vassilakis and
  • Dionisis Margaris

29 July 2020

Metacognitive training reflects knowledge, consideration and control over decision-making and task performance evident in any social and learning context. Interest in understanding the best account of effective (win-win) negotiation emerges in differ...

  • Article
  • Open Access
5 Citations
3,740 Views
13 Pages

29 July 2020

Cloud has become one of the most widely used technologies to store data due to its availability, flexibility, and low cost. At the same time, the security, integrity, and privacy of data that needs to be stored on the cloud is the primary threat for...

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Information - ISSN 2078-2489