Home Virtual Laboratory to Support a Practical Learning of Micro Power Generation in Indonesian Vocational High Schools
Article Open Access

Virtual Laboratory to Support a Practical Learning of Micro Power Generation in Indonesian Vocational High Schools

  • Marshal Bima , Herman Saputro EMAIL logo and Agus Efendy
Published/Copyright: March 21, 2021
Become an author with De Gruyter Brill

Abstract

The rapid changes in industrial revolution 4.0 demand change in education, especially at vocational education. Teachers in Vocational High School (VHS) in Indonesia are expected to bring technology-based innovations to achieve success in learning. Learning facilities are one of the factors supporting the success of learning class. Ideally, Indonesian Vocational High Schools have facilities and infrastructure following industrial. Currently, schools have difficulty providing learning support facilities and infrastructure following those in the industry. Thus, the equipment in the school laboratory is irrelevant to the existing equipment in the industry. The practicum apparatus gap between VHS and industry requires appropriate and effective solutions. The gap occurred in practical learning of micro power generation Indonesian VHS. On the other hand, virtual laboratories in the learning process can help students learn an object that cannot be presented in the classroom. By using virtual laboratories, students learn to use industry apparatus through virtual forms. This research aims to overcome the problem of practical learning in VHS, especially on practical learning of micro power generation through the virtual laboratory. This study used the 4D model approach (Define, Design, Develop, and Disseminate). The result showed that the virtual laboratory of micropower generation effectively supported learning and transfer of knowledge in practical learning, especially during the covid 19 pandemics.

1 Introduction

Several new ideas have been developed in the current era related to future education, especially in vocational high schools. As part of the national education system, vocational education plays a very strategic role in creating a skilled workforce. Vocational education has a vital role in all education systems in developing countries [1]. Vocational High Schools have the primary mission of preparing students to enter the workforce. Most developed countries also view vocational education to reduce youth unemployment [2,3,4]. The existence of Vocational High Schools is expected to produce middle-level workers who are ready to use. The problems currently being faced by vocational high schools include the absence of a match between the competencies expected by the world of work and school graduates [5]. The success of programs at Vocational High Schools is not just graduating students but also from graduates’ appearance when in work [6]. The learning objectives’ success is determined by several factors, including the teacher's factor in implementing the teaching and learning process. The teacher can directly influence, foster, and improve students’ intelligence and skills [7, 8]. The factors supporting the success of learning in Vocational High Schools are facilities and infrastructure following industrial needs. One example of the standard of facilities and infrastructure is the standard of the practice room and laboratory used for the learning process. The industrial revolution 4.0 demands learning to follow technological advances. In this era, it has a design in the form of interconnection through the Internet of People (IoP), transparency of information, technical assistance, decentralized decisions [9].

Technologies relevant to future education are distance learning, e-learning, virtual laboratories, and dynamics-based virtual systems. The education system in vocational high schools, including information and communication technology, has been widely used [10,11,12,13]. Technology in the form of advanced applications has been incorporated into various learning activities, including virtual laboratories [14], which have the goal of improving learning performance [15] and training students to learn independently [16]. Distance education appeared first as a response to the development of education in the future. Leading institutions such as the Immersive Education Initiative and the Immersive Learning Research Network iLRN have conducted research related to the concept of education in the future. It is hoped that future education can remove barriers that limit access to education so that education is available to all who have the right to learn. The increasing demand for distance education at the vocational high school level is causing educators to adjust to formal education.

Virtual laboratories allow students to learn with limited facilities and infrastructure, but not many schools have facilitated this. A virtual laboratory is a laboratory that uses simulations to display the experimental process. In their research, Powell & Aldredge, 2016 defines a virtual laboratory as the software used to simulate a laboratory environment. A virtual laboratory can be a pre-practicum tool before students carry out the real practicum in a conventional laboratory. In its use, virtual laboratories have a good impact on student development. Virtual labs make it easier for students to connect theoretical and practical aspects [17]. Besides, virtual laboratories can also improve conceptual thinking and performance investigations [18]. The success of using a virtual laboratory must be supported by using the correct procedure. The success of learning activities in this laboratory must be supported by selecting the right tools and materials [19].

The virtual laboratory developed in this study contains additional material related to micropower generation's essential competencies. Micropower generation is a small-scale power plant that utilizes heat energy generated from a mechanism [20,21,22]. The most crucial component in a micro-generator is micro combustion. The development of virtual laboratories is carried out with the aim of students being able to understand micro combustion material and systems that work in real and clear ways. Saputro et al., 2018 revealed that the demand for micro-scale energy generation needs would increase along with microtechnology development. This virtual laboratory is a learning media product compiled based on micropower generation research at the Energy Conversion Combustion Laboratory (ECCL) of Universitas Sebelas Maret Indonesia. Furthermore, the development of a virtual laboratory will be used as a learning media in Vocational High Schools (VHS), especially during the Covid-19 pandemic.

2 Research methodology

This research focused on developing instructional media, which uses four-D model (4D-model) development. The Four-D Model was developed by Thiagarajan et al., 1976 [23]. The 4D learning device development model consists of 4 main stages: define, design, develop, and disseminate. The Four-D Model was chosen to produce a product in virtual laboratory media for micropower generation learning. Figure 1 shows the flow chart for the development of a virtual laboratory for micropower generation learning.

Figure 1 Flowchart Four-D Model [23]
Figure 1

Flowchart Four-D Model [23]

Stage I: Define

The defined stage is the stage for determining and defining the requirements for micropower generation learning. The defined stage includes five main steps, as follows: 1) front-end analysis, 2) learner analysis, 3) task analysis, 4) concept analysis, and 5) specifying instructional objectives.

Stage II: Design

The design stage aims to design a virtual laboratory for micropower generation learning. Four steps must be taken at this stage, i.e., (1) criterion-test construction, (2) media selection according to the characteristics of the material and learning objectives, (3) format selection, (4) initial design.

Stage III: Develop

The development stage is the stage to produce virtual laboratory products for micropower generation learning. The virtual laboratory's development is carried out in two steps: (1) expert appraisal and (2) developmental testing. Experts in learning media from the center of learning Sebelas Maret University validated virtual laboratory for micropower generation learning practice. The instrument for validation of the virtual laboratory for micropower generation learning practice is shown in Table 1. Experts in the Energy Conversion Combustion Laboratory (ECCL) of Universitas Sebelas Maret Indonesia validated the subject micropower generation's content.

Table 1

The instrument for validation of the virtual laboratory for micropower generation learning practice

No Indicator

Learning Design Aspects
1 Elegant appearance and background suitability
2 The attractiveness of the background and layout design
3 Image placement suitability, navigation buttons
4 The media developed is easy to use and simple to operate
5 Media developed can be used anywhere and anytime
6 Media can help students in independent learning
7 The developed media can be run on the available devices
8 The media being developed is free of advertisements and there are instructions for use
9 Sound effect selection suitability
10 Can be managed / maintained easily
11 Application selection accuracy

Stage IV: Disseminate

The dissemination process is the final stage of development. The dissemination stage is carried out to promote virtual laboratories in Vocational High Schools. Due to the Covid-19 pandemic conditions the trials were carried out on a limited scale. Trials were conducted on small groups of VHS teachers.

The virtual laboratory media has been developed, and then its feasibility is tested by validators of learning media experts and practitioners from several Vocational High Schools in Indonesia. The feasibility test of instructional media was carried out to determine the effectiveness of virtual laboratories as micropower generation learning media in Vocational High Schools. This study used a qualitative approach for data analysis. Method and data triangulation was employed for data analysis. Interviews and questionnaires carried out triangulation methods with practitioners from 4 Vocational High Schools in Indonesia. Data triangulation was performed using additional literature data and validation data from learning media experts.

3 Result and discussion

3.1 Learning needs analysis

Learning is a process of interaction between students and the learning environment that aims to change behavior positively. The essential purpose of education at Vocational High Schools is to form students with competencies, knowledge, and skills according to the industry's needs or the job market. The success of learning at Vocational High Schools is influenced by several factors, such as students, teachers, and learning support facilities. The obstacle faced by Vocational High Schools in Indonesia is the availability of practicum apparatus relevant to the industry. Practical support facilities and infrastructure are needed to smooth the transfer of knowledge and skills from teachers to students. The results of preliminary observations made in vocational high schools in the field of a micropower generation found that learning could not be maximally carried out because the school did not have practical facilities.

The results of interviews with productive teachers in vocational high schools show that students still have difficulty understanding theoretical and practical learning. In the learning process, it was found that students still lacked self-confidence. This could be seen during the student competency test. The productive teacher who teaches this practice also admits that he still has difficulties in delivering the material. Therefore, it is not easy to understand students who have different abilities. The interview results showed that the learning obstacle in practice was the lack of tools and non-standard tools.

The observations and interviews with productive teachers in vocational high schools can be analyzed that the learning process has not been maximized. Inappropriate learning media and non-standard student practice places are factors that are not optimal in the learning process. The solution to the above problems is developing learning media that can accommodate teachers’ transfer of knowledge. Virtual laboratory learning media is considered appropriate to answer existing problems. Virtual laboratories allow students to learn with limited facilities and infrastructure, but not many schools have facilitated this. Previous research results also said that the virtual laboratory makes it easy for students to connect theoretical and practical aspects [24].

3.2 Virtual laboratory development design

Digital technology simplifies the learning process by presenting innovation through the use of the internet in education Zawacki-Richter & Latchem, 2018 [23] states that digital devices are increasingly being adopted for learning and educational purposes. Based on the existing problems in micropower generation learning, a virtual laboratory was developed. A virtual laboratory is a multisensory software that has interactions to simulate certain practicum by replicating conventional laboratories. Correct procedures must support the successful use of virtual laboratories. The development of a virtual laboratory starts from making a storyboard, as shown in Table 2. The storyboard was developed from the results of defining micropower generation learning needs in Vocational High Schools. At this stage, the researchers conducted a needs analysis related to the needs for developing instructional media. The storyboard that has been compiled was consulted with two instructional media experts. After the storyboarding is completed, the virtual laboratory is created. The manufacturing stages include designing the product design, compiling the material's text, and compiling the media assessment grid. Software used in media development includes Adobe Animate, Blender, Corel Draw, SuperMii, Pixel Lab, Kinemaster, and Camtasia. Table 3 shows the stages of making a virtual laboratory for micropower generation learning.

Table 2

Storyboard of a virtual laboratory for micropower generation learning

No Page view Information
1
  1. Click to start

  2. UNS and ECCL logos

  3. Micro Combustion learning

2
  1. Type the identity of the name

3
  1. Library room

  2. Machine lab

  3. Assessment room

4
  1. Energy topic

  2. Material topic

  3. Fluid flow topic

  4. Fuel topic

  5. Flame stability topic

  6. Energy conversion topic

5
  1. Micro combustion assembly place

  2. Part of the assembled object

  3. Assembly orders

6
  1. Material type

  2. Kind of flame

  3. Vulnerable speed

  4. Sign of reducing fuel

  5. Signs of adding fuel

  6. Electric flame application

  7. Experimental image

  8. Graph of susceptible temperature velocity

  9. The descriptive, experimental result

7.
  1. Crossword menu

  2. Evaluation menu

  3. Election order

Table 3

Virtual laboratory design

No Display Design Information
1 The stages of making a design in a virtual laboratory use animate software. In its use, a virtual laboratory requires hardware that supports specific input from its users
2 Blender software is used to create a laboratory atmosphere in a virtual laboratory. Virtual laboratories can provide a complete laboratory with expensive equipment but at a low cost
3 Designing experimental tools using Corel Draw software

Based on storyboards and designs that have been refined by instructional media experts, a virtual laboratory media application is created for micropower generation learning. In the early stages of development, virtual laboratory applications were designed for personal computers or laptops. Figure 2 shows the initial appearance when opening the virtual laboratory application. Select “click to start”, a screen will appear, as shown in Figure 3. Students log in to the virtual laboratory by inputting a name, for example, “Marshall”. After a successful login, students will be guided to start learning micropower generation. Students can choose three available rooms (Figure 4): 1) library room, 2) laboratory machine and 3) assessment room. For students who are learning micropower generation for the first time, the learning sequence starts from rooms 1, 2, and 3. However, if students have studied micropower generation, they are allowed to choose which room to use. The library room is a space where students can learn about the basics of micropower generation. There are six collections of reference materials related to micropower generation, such as 1) energy, 2) material, 3) fluid flow, 4) fuel, 5) flame stability, and 6) energy conversion (Figure 5). A machine laboratory is a room where to conduct experiments on micropower generation, as shown in Figure 6. In the Machine laboratory room, students learn about: 1) tools and materials for making micropower generation, 2) Students learn how to assemble micropower generation (Figure 7), and 3) students learn to analyze the effect of fuel flow and air on the stable flame and temperature produced by the micro combustor (Figure 8). Students can measure their abilities in the assessment room, consisting of filling out crossword puzzles and analyzing micro combustion from the assembly stage to the simulation, as shown in Figure 9.

Figure 2 The virtual laboratory home screen
Figure 2

The virtual laboratory home screen

Figure 3 Log in virtual laboratory
Figure 3

Log in virtual laboratory

Figure 4 Rooms in a virtual laboratory
Figure 4

Rooms in a virtual laboratory

Figure 5 Library room
Figure 5

Library room

Figure 6 Machine laboratory
Figure 6

Machine laboratory

Figure 7 Assembling the micro power generation
Figure 7

Assembling the micro power generation

Figure 8 Display simulation in the virtual laboratory
Figure 8

Display simulation in the virtual laboratory

Figure 9 Assessment room
Figure 9

Assessment room

3.3 The results of validation and virtual laboratory testing

Before being tested on students, the virtual laboratory learning media was validated by learning media experts and micropower generation learning content experts. Learning media validation is carried out to determine the feasibility of the media that has been developed. The results of validation by instructional media experts obtained input and improvement, as shown in Table 4. Simultaneously, the input from micropower generation learning content experts stated that the virtual laboratory content of learning materials was by Vocational High School students’ needs.

Table 4

The results of validation by learning media and micropower generation experts and

No Before revision After revision
1 Advice from instructional media experts: icons and logos are moved downwards to add aesthetic value and media appeal.

2 Advice from learning media experts: Virtual laboratory need to add a room in the virtual laboratory by including an assessment room. This aims to measure students’ abilities after learning with a virtual laboratory.

3 Suggestions from content experts in micropower generation learning: the display of micro combustion experiments should be added with a graph of the results of this experiment so that students know the results of what they are doing.

The expert appraisal is one of the steps in the 4D development model [23]. The media expert validation results show that the virtual laboratory learning media shows relevant results for learning in vocational high schools. Virtual laboratory learning media is feasible because media development is carried out effectively and efficiently and can be used easily by students and teachers as distance learning during a pandemic. The stage after media validation is a trial through the practitioner. Practitioners from four different vocational schools tested the virtual laboratory media intending to determine the level of media effectiveness. The results of the interviews from the four practitioners produced different responses. The virtual laboratory learning media supports the essential learning of learning practices of micropower generation. This is because the virtual laboratory's design is easy to understand. The same thing was expressed by the first school practitioner who said that the virtual laboratory could be an interactive learning media for students.

During the pandemic, a virtual laboratory for micropower generation learning can support distance learning Indonesian VHS. The use of virtual labs increases student achievement levels and positively impacts student attitudes [24]. The virtual laboratory that has been developed provides a different learning style. Virtual laboratory for micropower generation learning is positive because it impacts students not getting bored quickly in learning. Another thing that must be considered is that the students’ abilities are not the same. This was revealed by practitioners in the fourth school, saying that virtual laboratories cannot support learning because not all students have laptops at home. One practitioner's suggestion said that a virtual laboratory could be applied during a pandemic as long as it can be used on cellphones or android platforms. Overall, in-depth interviews with learning practitioners in Vocational High Schools show that the developed virtual laboratory is suitable for micropower generation learning.

4 Conclusion

Effective learning must be followed by selecting the right media. The selection of media in learning aims to get students closer to real cases that are more concrete to convey messages and goals. Media in the learning process has an important role. In today's digital era, the media must adapt to the conditions of students. In the next few decades, it is believed that virtual laboratories’ popularity will increase due to the rapid advancement of technology. In a simulation in a virtual laboratory, it will produce an interactive learning environment and increase learning effectiveness. The virtual laboratory that has been developed is believed to increase students’ knowledge because there is structured material.

The success of learning at Vocational High Schools is influenced by several factors, such as students, teachers, and learning support facilities. The obstacle faced by Vocational High Schools in Indonesia is the availability of practicum apparatus relevant to the industry. Based on the existing problems in micropower generation learning, a virtual laboratory was developed. Virtual laboratory media can be used to support distance learning. The virtual laboratory that has been developed provides a different learning style. The media expert validation results show that the virtual laboratory learning media shows relevant results for learning in vocational high schools. Micropower generation learning content experts stated that the virtual laboratory content of learning materials was Vocational High School students’ needs

References

[1] Kacan E. Renewable energy awareness in vocational and technical education. Renewable Energy. 2015 April;76:126–134. doi: 10.1016/j.renene.2014.11.013.Search in Google Scholar

[2] Eric AH, Ludger W, Lei Z. General education, vocational education, and labor-market outcomes over the lifecycle. Journal of Human Resources. 2015 oktober;52(1):48–87.10.3368/jhr.52.1.0415-7074RSearch in Google Scholar

[3] Radianti J, Majchrzak T A, Fromm J, Wohlgenannt I. A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Comput Educ. 2020 april;147:103778. doi: 10.1016/j.compedu.2019.103778.Search in Google Scholar

[4] Anders N. Vocational education and training – an engine for economic growth and a vehicle for social inclusion. International Journal of Training and Development. 2010 november 21;14(4): 251–272. https://doi.org/10.1111/j.1468-2419.2010.00357.x10.1111/j.1468-2419.2010.00357.xSearch in Google Scholar

[5] Saputro H, Sudibyo. A map of the competence of the production machine operator profession and the competency gap between the competence of VHS graduates majoring in mechanical engineering with the demands of the world of work. JIPTEK. 2013; 6(1).Search in Google Scholar

[6] Lee J, Wahidiat S, & Khurniawan AW. Strategi implementasi revitalisasi SMK melalui bilingual learning ecosystem. jurnal pendidikan vokasi. 2017. Indonesian.Search in Google Scholar

[7] Putra YA, Fernandez D. Designing of Tap Sensor Design for Learning Media. Journal of mechanical engineering education. 2016;1(2).Search in Google Scholar

[8] Saputro DSH, Donny F. Journal of mechanical engineering education. J Mech Eng Educ. 2016; 4(1):11–18.Search in Google Scholar

[9] Herman O, Pentek T, Otto B. Design Principles for Industrie 4.0 Scenarios. 49th Hawaii International Conference on System Sciences (HICSS). 2016. DOI: 10.1109/HICSS.2016.488Search in Google Scholar

[10] Peinazo MM, Aparicio MP, Redel MMD, Dorado MP, et al. Characterization of biodiesel using virtual laboratories integrating social networks and web app following a ubiquitous- and blended-learning. Journal of Cleaner Production. 2019;215:399–409. doi.org/10.1016/j.jclepro.2019.01.098.10.1016/j.jclepro.2019.01.098Search in Google Scholar

[11] Alexandra K, Eric R, Karl A, Jari P, et al. An international Master's program in green ICT as a contribution to sustainable development. Journal of cleaner production. 2016;135:223–239, doi.org/10.1016/j.jclepro.2016.06.032.10.1016/j.jclepro.2016.06.032Search in Google Scholar

[12] Aline LT, Mabelle MM, Heraldo SF, Aline FF, Suraya CD. As Tecnologias da Informação e Comunicação e a Educação Física Escolar: a realidade de professores da rede pública municipal de Fortaleza. Educacao Tematica Digital. 2016;18(1):198–214.10.20396/etd.v18i1.8640601Search in Google Scholar

[13] Vidaceck-Hains VKV, Kozina M. A model of education for assistants of students with disabilities supported by information and comunication technology, 2016.Search in Google Scholar

[14] Cambronero-López F, Gómez-Varela A I, Bao-Varela C. Designing an ultrafast laser virtual laboratory using MATLAB GUIDE. European Journal of Physics. 2017;38(3).10.1088/1361-6404/aa5a93Search in Google Scholar

[15] Ramírez-Romero J, Rivera-Rodríguez D, Rivera S. Teaching using a synchronous machine virtual laboratory. Global Journal of Engineering Education. 2020;22(2):123–130.Search in Google Scholar

[16] Paolini A. Enhancing Teaching Effectiveness and Student Learning Outcomes. Journal of Effective Teaching. 2015;15(1):20–33.Search in Google Scholar

[17] Hasegawa S, Ahmed ME. An instructional design model and criteria for designing and developing online virtual labs. International Journal of Digital Information and Wireless Communications. 2014;4(3):355–37110.17781/P001289Search in Google Scholar

[18] Gunawan G, Nisrina N, Suranti NMY, Herayanti L, Rahmatiah R. Virtual Laboratory to Improve Students’ Conceptual Understanding in Physics Learning. Journal of Physics : Conf Series. 2018; 1108:012049.10.1088/1742-6596/1108/1/012049Search in Google Scholar

[19] Ziaeefard S, Miller MH, Rastgaar MH, Mahmoudian N. Co-robotics hands-on activities: A gateway to engineering design and STEM learning. Rob Auton Syst. 2017;97:40–50. doi: 10.1016/j.robot.2017.07.013.Search in Google Scholar

[20] Saputro H, Juwantono H, Bugis H, Susilo Wijayanto D, Fitriana L, et.al. Numerical simulation of flame stabilization in meso-scale vortex combustion. MATEC Web Conf. 2018;197:8005–801110.1051/matecconf/201819708005Search in Google Scholar

[21] Saputro H, Purwanto A, Fitriana L, Wijayanto DS, et al. Analysis of flame stabilization limit in a cylindrical of step micro-combustor with different material through the numerical simulation. MATEC Web Conf. 2018;197:8003–800510.1051/matecconf/201819708003Search in Google Scholar

[22] Abdul MF, Ikhwan MM, Gader A, Mikami M, et al. Effects of Wall Thickness on Flame Stabilization Limits for Combustors with Wire Mesh. J Adv Res Fluid Mech Therm Sci J. 2018;49:7–11.Search in Google Scholar

[23] Thiagarajan S. Instructional Development for Training Teachers of Exceptional Children. Washinton DC. National Center for Improvement Educational System. 1974.Search in Google Scholar

[24] Tüysüz C. The effect of the virtual laboratory on students’ achievement and attitude in chemistry. Int Online J Educ Sci. 2010;2(1):37–53.Search in Google Scholar

Received: 2020-11-06
Accepted: 2021-02-02
Published Online: 2021-03-21

© 2021 Marshal Bima et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Regular Articles
  2. Electrochemical studies of the synergistic combination effect of thymus mastichina and illicium verum essential oil extracts on the corrosion inhibition of low carbon steel in dilute acid solution
  3. Adoption of Business Intelligence to Support Cost Accounting Based Financial Systems — Case Study of XYZ Company
  4. Techno-Economic Feasibility Analysis of a Hybrid Renewable Energy Supply Options for University Buildings in Saudi Arabia
  5. Optimized design of a semimetal gasket operating in flange-bolted joints
  6. Behavior of non-reinforced and reinforced green mortar with fibers
  7. Field measurement of contact forces on rollers for a large diameter pipe conveyor
  8. Development of Smartphone-Controlled Hand and Arm Exoskeleton for Persons with Disability
  9. Investigation of saturation flow rate using video camera at signalized intersections in Jordan
  10. The features of Ni2MnIn polycrystalline Heusler alloy thin films formation by pulsed laser deposition
  11. Selection of a workpiece clamping system for computer-aided subtractive manufacturing of geometrically complex medical models
  12. Development of Solar-Powered Water Pump with 3D Printed Impeller
  13. Identifying Innovative Reliable Criteria Governing the Selection of Infrastructures Construction Project Delivery Systems
  14. Kinetics of Carbothermal Reduction Process of Different Size Phosphate Rocks
  15. Plastic forming processes of transverse non-homogeneous composite metallic sheets
  16. Accelerated aging of WPCs Based on Polypropylene and Birch plywood Sanding Dust
  17. Effect of water flow and depth on fatigue crack growth rate of underwater wet welded low carbon steel SS400
  18. Non-invasive attempts to extinguish flames with the use of high-power acoustic extinguisher
  19. Filament wound composite fatigue mechanisms investigated with full field DIC strain monitoring
  20. Structural Timber In Compartment Fires – The Timber Charring and Heat Storage Model
  21. Technical and economic aspects of starting a selected power unit at low ambient temperatures
  22. Car braking effectiveness after adaptation for drivers with motor dysfunctions
  23. Adaptation to driver-assistance systems depending on experience
  24. A SIMULINK implementation of a vector shift relay with distributed synchronous generator for engineering classes
  25. Evaluation of measurement uncertainty in a static tensile test
  26. Errors in documenting the subsoil and their impact on the investment implementation: Case study
  27. Comparison between two calculation methods for designing a stand-alone PV system according to Mosul city basemap
  28. Reduction of transport-related air pollution. A case study based on the impact of the COVID-19 pandemic on the level of NOx emissions in the city of Krakow
  29. Driver intervention performance assessment as a key aspect of L3–L4 automated vehicles deployment
  30. A new method for solving quadratic fractional programming problem in neutrosophic environment
  31. Effect of fish scales on fabrication of polyester composite material reinforcements
  32. Impact of the operation of LNG trucks on the environment
  33. The effectiveness of the AEB system in the context of the safety of vulnerable road users
  34. Errors in controlling cars cause tragic accidents involving motorcyclists
  35. Deformation of designed steel plates: An optimisation of the side hull structure using the finite element approach
  36. Thermal-strength analysis of a cross-flow heat exchanger and its design improvement
  37. Effect of thermal collector configuration on the photovoltaic heat transfer performance with 3D CFD modeling
  38. Experimental identification of the subjective reception of external stimuli during wheelchair driving
  39. Failure analysis of motorcycle shock breakers
  40. Experimental analysis of nonlinear characteristics of absorbers with wire rope isolators
  41. Experimental tests of the antiresonance vibratory mill of a sectional movement trajectory
  42. Experimental and theoretical investigation of CVT rubber belt vibrations
  43. Is the cubic parabola really the best railway transition curve?
  44. Transport properties of the new vibratory conveyor at operations in the resonance zone
  45. Assessment of resistance to permanent deformations of asphalt mixes of low air void content
  46. COVID-19 lockdown impact on CERN seismic station ambient noise levels
  47. Review Articles
  48. FMEA method in operational reliability of forest harvesters
  49. Examination of preferences in the field of mobility of the city of Pila in terms of services provided by the Municipal Transport Company in Pila
  50. Enhancement stability and color fastness of natural dye: A review
  51. Special Issue: ICE-SEAM 2019 - Part II
  52. Lane Departure Warning Estimation Using Yaw Acceleration
  53. Analysis of EMG Signals during Stance and Swing Phases for Controlling Magnetorheological Brake applications
  54. Sensor Number Optimization Using Neural Network for Ankle Foot Orthosis Equipped with Magnetorheological Brake
  55. Special Issue: Recent Advances in Civil Engineering - Part II
  56. Comparison of STM’s reliability system on the example of selected element
  57. Technical analysis of the renovation works of the wooden palace floors
  58. Special Issue: TRANSPORT 2020
  59. Simulation assessment of the half-power bandwidth method in testing shock absorbers
  60. Predictive analysis of the impact of the time of day on road accidents in Poland
  61. User’s determination of a proper method for quantifying fuel consumption of a passenger car with compression ignition engine in specific operation conditions
  62. Analysis and assessment of defectiveness of regulations for the yellow signal at the intersection
  63. Streamlining possibility of transport-supply logistics when using chosen Operations Research techniques
  64. Permissible distance – safety system of vehicles in use
  65. Study of the population in terms of knowledge about the distance between vehicles in motion
  66. UAVs in rail damage image diagnostics supported by deep-learning networks
  67. Exhaust emissions of buses LNG and Diesel in RDE tests
  68. Measurements of urban traffic parameters before and after road reconstruction
  69. The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles
  70. Analysis of dangers in the operation of city buses at the intersections
  71. Psychological factors of the transfer of control in an automated vehicle
  72. Testing and evaluation of cold-start emissions from a gasoline engine in RDE test at two different ambient temperatures
  73. Age and experience in driving a vehicle and psychomotor skills in the context of automation
  74. Consumption of gasoline in vehicles equipped with an LPG retrofit system in real driving conditions
  75. Laboratory studies of the influence of the working position of the passenger vehicle air suspension on the vibration comfort of children transported in the child restraint system
  76. Route optimization for city cleaning vehicle
  77. Efficiency of electric vehicle interior heating systems at low ambient temperatures
  78. Model-based imputation of sound level data at thoroughfare using computational intelligence
  79. Research on the combustion process in the Fiat 1.3 Multijet engine fueled with rapeseed methyl esters
  80. Overview of the method and state of hydrogenization of road transport in the world and the resulting development prospects in Poland
  81. Tribological characteristics of polymer materials used for slide bearings
  82. Car reliability analysis based on periodic technical tests
  83. Special Issue: Terotechnology 2019 - Part II
  84. DOE Application for Analysis of Tribological Properties of the Al2O3/IF-WS2 Surface Layers
  85. The effect of the impurities spaces on the quality of structural steel working at variable loads
  86. Prediction of the parameters and the hot open die elongation forging process on an 80 MN hydraulic press
  87. Special Issue: AEVEC 2020
  88. Vocational Student's Attitude and Response Towards Experiential Learning in Mechanical Engineering
  89. Virtual Laboratory to Support a Practical Learning of Micro Power Generation in Indonesian Vocational High Schools
  90. The impacts of mediating the work environment on the mode choice in work trips
  91. Utilization of K-nearest neighbor algorithm for classification of white blood cells in AML M4, M5, and M7
  92. Car braking effectiveness after adaptation for drivers with motor dysfunctions
  93. Case study: Vocational student’s knowledge and awareness level toward renewable energy in Indonesia
  94. Contribution of collaborative skill toward construction drawing skill for developing vocational course
  95. Special Issue: Annual Engineering and Vocational Education Conference - Part II
  96. Vocational teachers’ perspective toward Technological Pedagogical Vocational Knowledge
  97. Special Issue: ICIMECE 2020 - Part I
  98. Profile of system and product certification as quality infrastructure in Indonesia
  99. Prediction Model of Magnetorheological (MR) Fluid Damper Hysteresis Loop using Extreme Learning Machine Algorithm
  100. A review on the fused deposition modeling (FDM) 3D printing: Filament processing, materials, and printing parameters
  101. Facile rheological route method for LiFePO4/C cathode material production
  102. Mosque design strategy for energy and water saving
  103. Epoxy resins thermosetting for mechanical engineering
  104. Estimating the potential of wind energy resources using Weibull parameters: A case study of the coastline region of Dar es Salaam, Tanzania
  105. Special Issue: CIRMARE 2020
  106. New trends in visual inspection of buildings and structures: Study for the use of drones
  107. Special Issue: ISERT 2021
  108. Alleviate the contending issues in network operating system courses: Psychomotor and troubleshooting skill development with Raspberry Pi
  109. Special Issue: Actual Trends in Logistics and Industrial Engineering - Part II
  110. The Physical Internet: A means towards achieving global logistics sustainability
  111. Special Issue: Modern Scientific Problems in Civil Engineering - Part I
  112. Construction work cost and duration analysis with the use of agent-based modelling and simulation
  113. Corrosion rate measurement for steel sheets of a fuel tank shell being in service
  114. The influence of external environment on workers on scaffolding illustrated by UTCI
  115. Allocation of risk factors for geodetic tasks in construction schedules
  116. Pedestrian fatality risk as a function of tram impact speed
  117. Technological and organizational problems in the construction of the radiation shielding concrete and suggestions to solve: A case study
  118. Finite element analysis of train speed effect on dynamic response of steel bridge
  119. New approach to analysis of railway track dynamics – Rail head vibrations
  120. Special Issue: Trends in Logistics and Production for the 21st Century - Part I
  121. Design of production lines and logistic flows in production
  122. The planning process of transport tasks for autonomous vans
  123. Modeling of the two shuttle box system within the internal logistics system using simulation software
  124. Implementation of the logistics train in the intralogistics system: A case study
  125. Assessment of investment in electric buses: A case study of a public transport company
  126. Assessment of a robot base production using CAM programming for the FANUC control system
  127. Proposal for the flow of material and adjustments to the storage system of an external service provider
  128. The use of numerical analysis of the injection process to select the material for the injection molding
  129. Economic aspect of combined transport
  130. Solution of a production process with the application of simulation: A case study
  131. Speedometer reliability in regard to road traffic sustainability
  132. Design and construction of a scanning stand for the PU mini-acoustic sensor
  133. Utilization of intelligent vehicle units for train set dispatching
  134. Special Issue: ICRTEEC - 2021 - Part I
  135. LVRT enhancement of DFIG-driven wind system using feed-forward neuro-sliding mode control
  136. Special Issue: Automation in Finland 2021 - Part I
  137. Prediction of future paths of mobile objects using path library
  138. Model predictive control for a multiple injection combustion model
  139. Model-based on-board post-injection control development for marine diesel engine
  140. Intelligent temporal analysis of coronavirus statistical data
Downloaded on 20.11.2025 from https://www.degruyterbrill.com/document/doi/10.1515/eng-2021-0048/html
Scroll to top button