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466 Results Found

  • Article
  • Open Access
5 Citations
1,368 Views
9 Pages

Hybridization of a Mobile Work Machine

  • Teemu Lehmuspelto,
  • Matti Heiska,
  • Antti Leivo and
  • Ari Hentunen

25 December 2009

Interest to hybridize mobile work machines has increased substantially during ongoing decade. Reasons for increasing interest are mainly tightening emission regulations and trend of rising fuel prices. To get better understanding for the benefits of...

  • Article
  • Open Access
4 Citations
6,156 Views
12 Pages

This paper describes the development of using virtual reality for work content in one application area over a decade. Virtual reality technology has developed rapidly; from walk-in CAVE-like virtual environments to head-mounted displays within a deca...

  • Article
  • Open Access
2,495 Views
14 Pages

Many issues have recently arisen as a result of the aging population and dwindling labor force. To solve these problems, including reduced convenience and productivity, research on the mobility of agricultural machinery and logistics involving autono...

  • Article
  • Open Access
1 Citations
1,321 Views
9 Pages

Full-Scale Hardware-in-the-Loop Verification Environment for Heavy-Duty Hybrid Electric Vehicles

  • Ari Hentunen,
  • Jussi Suomela,
  • Antti Leivo,
  • Matti Liukkonen and
  • Panu Sainio

This paper presents an implementation of a versatile full-scale hardware-in-the-loop (HIL) verification environment for testing of heavy-duty hybrid electric vehicles and mobile work machines. The test facility includes a full-scale hybrid system tha...

  • Article
  • Open Access
14 Citations
5,359 Views
10 Pages

Direct Driven Hydraulic Drive: Effect of Oil on Efficiency in Sub-Zero Conditions

  • Tatiana Minav,
  • Jani Heikkinen,
  • Thomas Schimmel and
  • Matti Pietola

11 January 2019

Direct driven hydraulic drives (DDH) have the advantages of compact high power density in hydraulic systems and flexible control of electric motors. These advantages can benefit non-road mobile machinery (NRMM) applications. However, maintaining high...

  • Article
  • Open Access
8 Citations
2,003 Views
12 Pages

Trends and insight in heavy-duty vehicle electrification

  • Carlo Mol,
  • Michael O’Keefe,
  • Arie Brouwer and
  • Jussi Suomela

This paper describes the results from Annex XII “Heavy-duty hybrid vehicles” of the International Energy Agency (IEA) Implementing Agreement on “Hybrid and Electric Vehicles” (IA-HEV). Since 1993, this Implementing Agreement has provided a platform t...

  • Article
  • Open Access
2 Citations
1,587 Views
16 Pages

Mathematical Modeling and Experimental Tests of Working Parameters of Piston-Radial Pumps in Hydraulic Systems of Mobile Machines

  • Milan Radosavljević,
  • Radovan Petrović,
  • Boris Žeželj,
  • Duško Belović and
  • Stefan Cvejić

31 October 2024

Modern methods of designing and constructing hydraulic pumps can no longer be imagined without the use of appropriate mathematical models, phenomena and processes that take place in concrete constructions. A mathematical model of a process represents...

  • Article
  • Open Access
4 Citations
3,873 Views
20 Pages

Low-Level Control of Hybrid Hydromechanical Transmissions for Heavy Mobile Working Machines

  • L. Viktor Larsson,
  • Liselott Ericson,
  • Karl Uebel and
  • Petter Krus

4 May 2019

Fuel efficiency has become an increasingly important property of heavy mobile working machines. As a result, Hybrid Hydromechanical Transmissions (HMTs) are often considered for the propulsion of these vehicles. The introduction of hybrid HMTs does,...

  • Article
  • Open Access
8 Citations
4,104 Views
15 Pages

Comparison of Achieved Rolling Resistance Values of Two Selected Tires on a Solid Surface

  • Milan Helexa,
  • Ján Kováč,
  • Jozef Krilek,
  • Ján Melicherčík and
  • Tomáš Kuvik

21 February 2022

The article deals with measuring the rolling resistance of two tires Mitas TS04 6.00-16 6PR and Mitas TS05 10.0/75-15.3 10PR on a concrete surface. The measurement was performed in a soil test channel which had to be adjusted for the given purpose. T...

  • Article
  • Open Access
5 Citations
3,524 Views
24 Pages

Where Am I? SLAM for Mobile Machines on a Smart Working Site

  • Yusheng Xiang,
  • Dianzhao Li,
  • Tianqing Su,
  • Quan Zhou,
  • Christine Brach,
  • Samuel S. Mao and
  • Marcus Geimer

27 May 2022

The current optimization approaches of construction machinery are mainly based on internal sensors. However, the decision of a reasonable strategy is not only determined by its intrinsic signals, but also very strongly by environmental information, e...

  • Article
  • Open Access
3 Citations
3,345 Views
13 Pages

Improving Air Quality for Operators of Mobile Machines in Underground Mines

  • Andrzej Szczurek,
  • Monika Maciejewska,
  • Marcin Przybyła and
  • Wacław Szetelnicki

18 December 2020

In underground mines, mobile mining equipment is critical for the production system. The microenvironment inside the mobile machine may cause exposure to strongly polluted mine air, which adversely affects the health and working performance of the op...

  • Proceeding Paper
  • Open Access
1,859 Views
4 Pages

As systems, for example vehicle systems, get increasingly autonomous and information intense, the information exchanged with the user, i.e., the operator, are increasingly becoming a designed interaction. This work investigates how interaction techno...

  • Article
  • Open Access
2 Citations
2,924 Views
18 Pages

Data-Driven Safe Deliveries: The Synergy of IoT and Machine Learning in Shared Mobility

  • Fatema Elwy,
  • Raafat Aburukba,
  • A. R. Al-Ali,
  • Ahmad Al Nabulsi,
  • Alaa Tarek,
  • Ameen Ayub and
  • Mariam Elsayeh

10 October 2023

Shared mobility is one of the smart city applications in which traditional individually owned vehicles are transformed into shared and distributed ownership. Ensuring the safety of both drivers and riders is a fundamental requirement in shared mobili...

  • Article
  • Open Access
9 Citations
3,517 Views
19 Pages

25 March 2023

Robots, which have mostly been effective in areas such as industrial, agricultural, and production facilities, have started to take a place in the service sector, as their technologies have become lower in cost and more easily accessible. This situat...

  • Review
  • Open Access
16 Citations
8,320 Views
32 Pages

Throughout the past several decades, mobile devices have evolved in capability and popularity at growing rates while improvement in security has fallen behind. As smartphones now hold mass quantities of sensitive information from millions of people a...

  • Feature Paper
  • Article
  • Open Access
13 Citations
4,526 Views
20 Pages

24 November 2018

This article develops the design, installation, exploitation, and final utilization of intelligent techniques, hardware, and software for understanding mobility in a modern city. We focus on a smart-campus initiative in the University of Malaga as th...

  • Article
  • Open Access
19 Citations
4,029 Views
25 Pages

A Machine-Learning-Based Analysis of the Relationships between Loneliness Metrics and Mobility Patterns for Elderly

  • Aditi Site,
  • Saigopal Vasudevan,
  • Samuel Olaiya Afolaranmi,
  • Jose L. Martinez Lastra,
  • Jari Nurmi and
  • Elena Simona Lohan

30 June 2022

Loneliness and social isolation are subjective measures associated with the feeling of discomfort and distress. Various factors associated with the feeling of loneliness or social isolation are: the built environment, long-term illnesses, the presenc...

  • Article
  • Open Access
3 Citations
3,066 Views
20 Pages

29 March 2024

A cut-to-length (CTL) forest harvester is a purpose-built, hydraulically actuated mobile work machine used for felling, delimbing, and cross-cutting trees into dimensions and assortments. In such a machine, the diesel engine load is known to fluctuat...

  • Proceeding Paper
  • Open Access
3 Citations
2,680 Views
8 Pages

15 September 2022

Aiming at the problems of the moving stability of the mobile station of the hydraulic press, the reliability of the mobile station clamping during the workpiece forging process, and the force requirements of the mobile station, an innovative design o...

  • Article
  • Open Access
348 Citations
48,093 Views
19 Pages

Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era

  • Alexandros Nikitas,
  • Kalliopi Michalakopoulou,
  • Eric Tchouamou Njoya and
  • Dimitris Karampatzakis

1 April 2020

Artificial intelligence (AI) is a powerful concept still in its infancy that has the potential, if utilised responsibly, to provide a vehicle for positive change that could promote sustainable transitions to a more resource-efficient livability parad...

  • Article
  • Open Access
1,226 Views
10 Pages

Comparison of packaging hydraulic and electric components in a HEV power line

  • Panu Sainio,
  • Matti Heiska,
  • Teemu Lehmuspelto and
  • Jussi Suomela

25 December 2009

Scientific papers usually do not present ‘lessons learnt’ results, what comes to engineering aspects in vehicle design. A lot of valuable information is collected during research and prototyping projects, but this is not shared in public often enough...

  • Article
  • Open Access
10 Citations
3,384 Views
11 Pages

Improving Spectral Efficiency in the SCMA Uplink Channel

  • Sergio Vidal-Beltrán and
  • José Luis López-Bonilla

18 March 2021

The Third Generation Partnership Project (3GPP) and the International Telecommunication Union (ITU) identified the technical requirements that the fifth generation of mobile communications networks (5G) had to meet; within these parameters are the fo...

  • Article
  • Open Access
10 Citations
2,663 Views
17 Pages

On-Board Unit (OBU)-Supported Longitudinal Driving Behavior Monitoring Using Machine Learning Approaches

  • Leyu Wei,
  • Lichan Liang,
  • Tian Lei,
  • Xiaohong Yin,
  • Yanyan Wang,
  • Mingyu Gao and
  • Yunpeng Liu

27 July 2023

Driving behavior recognition can provide an important reference for the intelligent vehicle industry and probe vehicle-based traffic estimation. The identification of driving behavior using mobile sensing techniques such as smartphone- and vehicle-mo...

  • Editorial
  • Open Access
613 Views
3 Pages

The applications of machine learning in wireless and mobile communication net-works have been receiving increasing attention, especially in the new era of big data and the Internet of Things (IoT), where data mining and data analysis technologies are...

  • Review
  • Open Access
85 Citations
15,213 Views
27 Pages

20 October 2014

Machine-to-Machine (M2M) communications enable networked devices and services to exchange information and perform actions seamlessly without the need for human intervention. They are viewed as a key enabler of the Internet of Things (IoT) and ubiquit...

  • Article
  • Open Access
52 Citations
5,995 Views
16 Pages

The electrocardiogram (ECG) provides essential information about various human cardiac conditions. Several studies have investigated this topic in order to detect cardiac abnormalities for prevention purposes. Nowadays, there is an expansion of new s...

  • Review
  • Open Access
20 Citations
10,479 Views
21 Pages

Accessibility in Native Mobile Applications for Users with Disabilities: A Scoping Review

  • Patricia Acosta-Vargas,
  • Belén Salvador-Acosta,
  • Luis Salvador-Ullauri,
  • William Villegas-Ch. and
  • Mario Gonzalez

20 June 2021

The objective of this scoping review is to characterize the current scenario of mobile applications considering accessibility issues for people with cognitive, motor, and sensory disabilities. Nowadays, mobile devices have grown exponentially, giving...

  • Article
  • Open Access
34 Citations
6,881 Views
14 Pages

16 December 2020

Advancement of accurate models for predicting real estate price is of utmost importance for urban development and several critical economic functions. Due to the significant uncertainties and dynamic variables, modeling real estate has been studied a...

  • Article
  • Open Access
41 Citations
4,377 Views
16 Pages

23 May 2020

Smartphones and mobile tablets play significant roles in daily life and have led to an increase in the number of users of this technology. The rising number of mobile device end-users has resulted in the generation of malware by hackers. Thus, mobile...

  • Feature Paper
  • Article
  • Open Access
7 Citations
3,730 Views
15 Pages

Towards Facial Biometrics for ID Document Validation in Mobile Devices

  • Iurii Medvedev,
  • Farhad Shadmand,
  • Leandro Cruz and
  • Nuno Gonçalves

1 July 2021

Various modern security systems follow a tendency to simplify the usage of the existing biometric recognition solutions and embed them into ubiquitous portable devices. In this work, we continue the investigation and development of our method for sec...

  • Article
  • Open Access
96 Citations
11,886 Views
12 Pages

25 April 2021

Year after year, mobile malware attacks grow in both sophistication and diffusion. As the open source Android platform continues to dominate the market, malware writers consider it as their preferred target. Almost strictly, state-of-the-art mobile m...

  • Article
  • Open Access
2 Citations
3,281 Views
21 Pages

5G systems are putting increasing pressure on Telecom operators to enhance users’ experience, leading to the development of more techniques with the aim of improving service quality. However, it is essential to take into consideration not only...

  • Review
  • Open Access
2,641 Views
22 Pages

The Prediction Method and Application of Off-Road Mobility for Ground Vehicles: A Review

  • Chen Hua,
  • Wencheng Zhang,
  • Hanghao Fu,
  • Yuhao Zhang,
  • Biao Yu,
  • Chunmao Jiang,
  • Yuliang Wei,
  • Ziyu Chen and
  • Xinkai Kuang

With the rapid advancement of technologies related to unmanned ground systems, ground vehicles are being widely deployed across various domains. However, when operating in complex, soft terrain environments, the low bearing capacity of such terrains...

  • Article
  • Open Access
6 Citations
3,797 Views
23 Pages

A Study on the Performance of the Electrification of Hydraulic Implements in a Compact Non-Road Mobile Machine: A Case Applied to a Backhoe Loader

  • Mariana de F. Ramos,
  • Dener A. de L. Brandao,
  • Diogo P. V. Galo,
  • Braz de J. Cardoso Filho,
  • Igor A. Pires and
  • Thales A. C. Maia

This work presents a study of the performance of prime mover and hydraulic implement electrification in a backhoe loader. The results are validated through simulation and experimental tests. The construction and agriculture sector has grown in recent...

  • Article
  • Open Access
37 Citations
6,470 Views
24 Pages

Teleworking and Online Shopping: Socio-Economic Factors Affecting Their Impact on Transport Demand

  • Juan Ramón López Soler,
  • Panayotis Christidis and
  • José Manuel Vassallo

28 June 2021

Teleworking and online shopping became commonplace during the COVID-19 pandemic and can be expected to maintain a strong presence in the foreseeable future. They can lead to significant changes in mobility patterns and transport demand. It is still u...

  • Article
  • Open Access
723 Views
18 Pages

InertialMov: Machine Learning Test Based on Inertial Sensors to Predict Mobility Impairment in Low Back Pain Patients

  • Jeremy Carlosama,
  • Luis Zhinin-Vera,
  • Cesar Guevara,
  • Carolina Cadena-Morejón,
  • Diego Almeida-Galárraga,
  • Lenin Ramírez-Cando,
  • Kevin R. Landázuri,
  • Andrés Tirado-Espín,
  • Patricia Acosta-Vargas and
  • Fernando Villalba-Meneses

1 November 2025

Low back pain (LBP) is one of the leading causes of disability in the world's population, yet there are limitations in providing an objective clinical assessment due to its widespread nature. In this work, five machine learning models (LightGBM, XGBo...

  • Article
  • Open Access
2,036 Views
22 Pages

20 September 2024

The digital transformation of organizations has propelled the widespread adoption of mobile platforms. Extended availability and prolonged engagement with platform-mediated work have blurred boundaries, making it increasingly difficult for individual...

  • Review
  • Open Access
14 Citations
7,060 Views
21 Pages

A Comprehensive Survey on Machine Learning Methods for Handover Optimization in 5G Networks

  • Senthil Kumar Thillaigovindhan,
  • Mardeni Roslee,
  • Sufian Mousa Ibrahim Mitani,
  • Anwar Faizd Osman and
  • Fatimah Zaharah Ali

14 August 2024

One of the key features of mobile networks in this age of mobile communication is seamless communication. Handover (HO) is a critical component of next-generation (NG) cellular communication networks, which requires careful management since it poses...

  • Article
  • Open Access
15 Citations
4,353 Views
19 Pages

Minimizing the Social Impact of Construction Work on Mobility: A Decision-Making Method

  • Maria del Mar Casanovas-Rubio,
  • Gonzalo Ramos and
  • Jaume Armengou

6 February 2020

Minimising the impacts of construction work on mobility, especially in urban areas, is a major issue for local authorities and construction planners that has not been sufficiently studied. This paper proposes a deterministic decision-making method fo...

  • Feature Paper
  • Article
  • Open Access
10 Citations
4,618 Views
21 Pages

From Human-Human to Human-Machine Cooperation in Manufacturing 4.0

  • Lydia Habib,
  • Marie-Pierre Pacaux-Lemoine,
  • Quentin Berdal and
  • Damien Trentesaux

26 October 2021

Humans are currently experiencing the fourth industrial revolution called Industry 4.0. This revolution came about with the arrival of new technologies that promise to change the way humans work and interact with each other and with machines. It aims...

  • Article
  • Open Access
12 Citations
7,880 Views
14 Pages

9 March 2020

Mobile devices such as sensors are used to connect to the Internet and provide services to users. Web services are vulnerable to automated attacks, which can restrict mobile devices from accessing websites. To prevent such automated attacks, CAPTCHAs...

  • Article
  • Open Access
26 Citations
11,067 Views
17 Pages

19 February 2019

Mobile manipulators are robot systems capable of combining logistics and manipulation tasks. They thus fulfill an important prerequisite for the integration into flexible manufacturing systems. Another essential feature required for modern production...

  • Review
  • Open Access
27 Citations
11,464 Views
25 Pages

A Survey on Learning-Based Model Predictive Control: Toward Path Tracking Control of Mobile Platforms

  • Kanghua Zhang,
  • Jixin Wang,
  • Xueting Xin,
  • Xiang Li,
  • Chuanwen Sun,
  • Jianfei Huang and
  • Weikang Kong

14 February 2022

The learning-based model predictive control (LB-MPC) is an effective and critical method to solve the path tracking problem in mobile platforms under uncertain disturbances. It is well known that the machine learning (ML) methods use the historical a...

  • Article
  • Open Access
14 Citations
3,304 Views
13 Pages

On the Use of Topology Optimization for Synchronous Reluctance Machines Design

  • Oğuz Korman,
  • Mauro Di Nardo,
  • Michele Degano and
  • Chris Gerada

19 May 2022

Synchronous reluctance (SynRel) machines are considered one of the promising and cost-effective solutions to many industrial and mobility applications. Nonetheless, achieving an optimal design is challenging due to the complex correlation between geo...

  • Article
  • Open Access
11 Citations
6,966 Views
23 Pages

High Performance SDN WLAN Architecture

  • Kristián Košťál,
  • Rastislav Bencel,
  • Michal Ries,
  • Peter Trúchly and
  • Ivan Kotuliak

19 April 2019

Wireless Local Area Network (WLAN) infrastructure is a dominant technology for direct access to the Internet and for cellular mobile data traffic offloading to WLANs. Additionally, the enterprise infrastructure can be used to provide functionality fo...

  • Review
  • Open Access
9 Citations
4,661 Views
16 Pages

The packaging of the eukaryotic genome into chromatin regulates the storage of genetic information, including the access of the cell’s DNA metabolism machinery. Indeed, since the processes of DNA replication, translation, and repair require acc...

  • Article
  • Open Access
3 Citations
4,159 Views
27 Pages

Spatio-Temporal River Contamination Measurements with Electrochemical Probes and Mobile Sensor Networks

  • Iván P. Vizcaíno,
  • Enrique V. Carrera,
  • Sergio Muñoz-Romero,
  • Luis H. Cumbal and
  • José Luis Rojo-Álvarez

The pollution of the rivers running through the cities or near to them is a current world-wide problem and requires actions and new technologically available approaches to control and restore those waters. In this work, we hypothesized that last-gene...

  • Article
  • Open Access
1,457 Views
17 Pages

Anomaly Detection Against Fake Base Station Threats Using Machine Learning

  • Amanul Islam,
  • Sourav Purification and
  • Sang-Yoon Chang

Mobile networking in 4G and 5G remains vulnerable against fake base stations. A fake base station can inject and manipulate the radio resource control (RRC) communication protocol to disable the user equipment’s connectivity. To motivate our re...

  • Article
  • Open Access
1 Citations
2,455 Views
15 Pages

Unsupervised Detection of Changes in Usage-Phases of a Mobile App

  • Hoyeol Chae,
  • Ryangkyung Kang and
  • Ho-Sik Seok

25 May 2020

Under the fierce competition and budget constraints, most mobile apps are launched without sufficient tests. Thus, there exists a great demand for automated app testing. Recent developments in various machine learning techniques have made automated a...

  • Systematic Review
  • Open Access
1 Citations
5,686 Views
44 Pages

Task Scheduling with Mobile Robots—A Systematic Literature Review

  • Catarina Rema,
  • Pedro Costa,
  • Manuel Silva and
  • Eduardo J. Solteiro Pires

The advent of Industry 4.0, driven by automation and real-time data analysis, offers significant opportunities to revolutionize manufacturing, with mobile robots playing a central role in boosting productivity. In smart job shops, scheduling tasks in...

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