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Information, Volume 11, Issue 8

2020 August - 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
16 Citations
6,501 Views
23 Pages

Preventative Nudges: Introducing Risk Cues for Supporting Online Self-Disclosure Decisions

  • Nicolás E. Díaz Ferreyra,
  • Tobias Kroll,
  • Esma Aïmeur,
  • Stefan Stieglitz and
  • Maritta Heisel

18 August 2020

Like in the real world, perceptions of risk can influence the behavior and decisions that people make in online platforms. Users of Social Network Sites (SNSs) like Facebook make continuous decisions about their privacy since these are spaces designe...

  • Article
  • Open Access
3 Citations
6,018 Views
35 Pages

18 August 2020

The use of information age technology favors pervasive communication exchanges and complex phenomenologies, which affect the production of knowledge and the permanent transformation of personalities and contexts, not always with a view to prosocial e...

  • Article
  • Open Access
2 Citations
3,339 Views
10 Pages

17 August 2020

One of the aims of the Secondary Education Certificate (SEC) Physics syllabus is “to provide the basis for further study of the subject”. This research determined the extent to which the syllabus is fulfilling this aim. In this study, sev...

  • Article
  • Open Access
13 Citations
4,229 Views
17 Pages

15 August 2020

In many nations, limited power from providers and an increase in demand for electricity have created new opportunities that can be used by home energy management systems (HEMSs) systems to enforce proper use of energy. This paper presents a virtual i...

  • Article
  • Open Access
38 Citations
18,387 Views
14 Pages

15 August 2020

Technological development at the turn of the 20th and 21st centuries determined the possibilities of communication. Internet access has resulted in the rapid development of social media, bringing together users from around the world. Social media aff...

  • Article
  • Open Access
5 Citations
3,815 Views
11 Pages

12 August 2020

With the rapid development of cloud computing, massive data are transferred to cloud servers for storage and management savings. For privacy concerns, data should be encrypted before being uploaded. In the encrypted-domain (ED), however, many data co...

  • Article
  • Open Access
48 Citations
11,267 Views
12 Pages

Deep Learning for Facial Beauty Prediction

  • Kerang Cao,
  • Kwang-nam Choi,
  • Hoekyung Jung and
  • Lini Duan

10 August 2020

Facial beauty prediction (FBP) is a burgeoning issue for attractiveness evaluation, which aims to make assessment consistent with human opinion. Since FBP is a regression problem, to handle this issue, there are data-driven methods for finding the re...

  • Article
  • Open Access
2 Citations
5,370 Views
13 Pages

Quantitative Cluster Headache Analysis for Neurological Diagnosis Support Using Statistical Classification

  • Mohammed El-Yaagoubi,
  • Inmaculada Mora-Jiménez,
  • Younes Jabrane,
  • Sergio Muñoz-Romero,
  • José Luis Rojo-Álvarez and
  • Juan Antonio Pareja-Grande

10 August 2020

Cluster headache (CH) belongs to the group III of The International Classification of Headaches. It is characterized by attacks of severe pain in the ocular/periocular area accompanied by cranial autonomic signs, including parasympathetic activation...

  • Article
  • Open Access
27 Citations
9,078 Views
14 Pages

8 August 2020

With the rapid increase in the popularity of big data and internet technology, sequential recommendation has become an important method to help people find items they are potentially interested in. Traditional recommendation methods use only recurren...

  • Article
  • Open Access
34 Citations
8,369 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
29 Citations
6,289 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
14 Citations
5,004 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
3,009 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
6 Citations
5,847 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
4,372 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
37 Citations
10,728 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
70 Citations
8,762 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
4,004 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
3,837 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...

  • Review
  • Open Access
14 Citations
11,899 Views
10 Pages

28 July 2020

In this study, information overload is viewed through the lenses of Library & Information Science and Communication Theory in order to offer recommended solutions for individuals experiencing overload. The purpose of this research was to apply LI...

  • Article
  • Open Access
11 Citations
4,644 Views
13 Pages

Feature Extraction of Laser Machining Data by Using Deep Multi-Task Learning

  • Quexuan Zhang,
  • Zexuan Wang,
  • Bin Wang,
  • Yukio Ohsawa and
  • Teruaki Hayashi

27 July 2020

Laser machining has been widely used for materials processing, while the inherent complex physical process is rather difficult to be modeled and computed with analytical formulations. Through attending a workshop on discovering the value of laser mac...

  • Article
  • Open Access
10 Citations
5,660 Views
21 Pages

26 July 2020

In recent years, intermodal transport has become an increasingly attractive alternative to freight shippers. However, the current intermodal freight transport is not as efficient as it could be. Oftentimes an empty container needs to be transported f...

  • Feature Paper
  • Article
  • Open Access
44 Citations
13,705 Views
20 Pages

25 July 2020

A crucial area in which information overload is experienced is news consumption. Ever increasing sources and formats are becoming available through a combination of traditional and new (digital) media, including social media. In such an information a...

  • Article
  • Open Access
20 Citations
6,834 Views
19 Pages

Automated Seeded Latent Dirichlet Allocation for Social Media Based Event Detection and Mapping

  • Cornelia Ferner,
  • Clemens Havas,
  • Elisabeth Birnbacher,
  • Stefan Wegenkittl and
  • Bernd Resch

25 July 2020

In the event of a natural disaster, geo-tagged Tweets are an immediate source of information for locating casualties and damages, and for supporting disaster management. Topic modeling can help in detecting disaster-related Tweets in the noisy Twitte...

  • Article
  • Open Access
6 Citations
6,547 Views
20 Pages

23 July 2020

This article aims to show the significance of branding in achieving set marketing goals and ensuring the sustainable development of a selected education and research library as a non-profit organization. The research is based on available data from f...

  • Article
  • Open Access
70 Citations
13,694 Views
20 Pages

Evaluating Machine Learning Methods for Predicting Diabetes among Female Patients in Bangladesh

  • Badiuzzaman Pranto,
  • Sk. Maliha Mehnaz,
  • Esha Bintee Mahid,
  • Imran Mahmud Sadman,
  • Ahsanur Rahman and
  • Sifat Momen

23 July 2020

Machine Learning has a significant impact on different aspects of science and technology including that of medical researches and life sciences. Diabetes Mellitus, more commonly known as diabetes, is a chronic disease that involves abnormally high le...

  • Article
  • Open Access
4,122 Views
15 Pages

22 July 2020

This study aimed to explore the effects of type and specifications of bus stop on bicycle speed and cycle track capacity. This paper investigates the traffic flow operations of tracks at basic sections, curbside stops, and bus bays by video recording...

  • Article
  • Open Access
3 Citations
5,647 Views
16 Pages

22 July 2020

Business gamification has been gaining in popularity in Poland in recent years and is indeed appearing in companies, especially large ones. However, the implementation of game-based solutions is still not sufficiently described. The technology allows...

  • Article
  • Open Access
9 Citations
4,515 Views
15 Pages

22 July 2020

Cloud computing technology has revolutionized the field of data management as it has enhanced the barriers of storage restrictions and high-cost establishment for its users. The benefits of the cloud have paved the way for its extensive implementatio...

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Information - ISSN 2078-2489