cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Juhriyansyah Dalle
Contact Email
jitdets@gmail.com
Phone
-
Journal Mail Official
jitdets@gmail.com
Editorial Address
-
Location
Kab. banyumas,
Jawa tengah
INDONESIA
Journal of ICT, Design, Engineering and Technological Science
Published by Universitas Muhammadiyah Purwokerto
ISSN : -     EISSN : 26042673     DOI : https://doi.org/10.33150/JITDETS-8.1.1
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering
Journal of ICT, Design, Engineering and Technological Science (JITDETS) focuses on the logical ramifications of advances in information and communications technology. It is expected for all sorts of experts, be it scientists, academicians, industry, government or strategy producers. It, along these lines, gives an exceptional discussion to papers covering application-based research subjects significant to assembling procedures, machines, and process reconciliation. JITDETS maintains the high standard of excellence of publishing. This is guaranteed by subjecting each paper to a strict evaluation strategy by individuals from the universal publication counseling board. The goal is solid to set up that papers submitted do meet all the requirements, particularly with regards to demonstrated application-based research work. It is not satisfactory that papers have a hypothetical substance alone; papers must exhibit producing applications.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Volume 1, Issue 1" : 5 Documents clear
Human Activity Recognition Using a Single Wrist IMU Sensor via Deep Learning Convolutional and Recurrent Neural Nets E. Valarezo; P. Rivera; J. M. Park; G. Gi; T. Y. Kim; M. A. Al-Antari; M. Al-Masni; T.-S. Kim
Journal of ICT, Design, Engineering and Technological Science Volume 1, Issue 1
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-1.1.1

Abstract

In this paper, the authors aimed to propose novel deep learning-based HAR systems with a single wrist IMU sensor. This research used time-series activity data from only one IMU sensor at a wrist to build two deep learning algorithm-based HAR systems: one is based on Convolutional Neural Nets (CNN) and the other Recurrent Neural Nets (RNN). Our two HAR systems are evaluated by 5-fold cross-validation tests to compare the performance of both systems. Five primary daily activities, including standing, walking, running, walking downstairs, and walking upstairs, were recognized. Our results show that the CNN-based HAR system achieved an average accuracy of 95.43% and the RNN-based HAR system accuracy of 96.95%. This result presents the feasibility of HAR for some macro human activities with only a single wearable IMU device.
Extreme Wind Fragility Assessment for Window System Failure in Lightweight Steel Frame Structure in Korea Viriyavudh Sim; Yongju Gwak; Woo Young Jung
Journal of ICT, Design, Engineering and Technological Science Volume 1, Issue 1
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-1.1.2

Abstract

In this research, we concentrate on defining the initial step in the framework of probability risk assessment of wind loads by developing wind fragility on small-scale residential facilities in South Korea, i.e., the window system installed in a lightweight steel frame house. The study was to develop a fragility model using random variables according to the wind loads parameters and the resistance capacity of the window system. Design- and material-based experimental results in typical residential facilities in South Korea provided capacity parameters, i.e., resistance capacity of the window system, which allow us to obtain the failure probability of the window system under various limit conditions and consequently be used to evaluate the vulnerability of windows in this small residential steel house. The study has successfully proved that the most vulnerable are the leeward windows, i.e., opposite to the wind direction. Usage of this methodology could lead to a more predictable structure performance and facilitate the introduction of performance-based design guidelines for this component of building. Fragilities such as those presented here also can be convolved with wind hazard curves to develop a risk assessment tool, which can evaluate the potential impact of a natural hazard in public planning and mitigate the consequent economic losses and social disruption.
Utilizing Regression Algorithms for ATS Route Forecasts Dewansh Raheja; Y. X. LEE; Z. W. Zhong
Journal of ICT, Design, Engineering and Technological Science Volume 1, Issue 1
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-1.1.3

Abstract

Assuming the static nature of routes, our study aimed to employ traffic feedback results from European airspace design evaluation tool combined with econometric modelling to forecast air traffic on selected ATS routes in the ASEAN region. A case study involving evolution scenarios of the economy from 2004 to 2019 was used to show the importance of regression modelling and form an ATS route forecast procedure to illustrate current capabilities. The study findings show that the accumulation of flights over the airspace is likely to affect airway capacity and workload in the coming years. Thus, ATS route forecasts become necessary in order to meet such heavy traffic conditions and plan new ATS routes. The results of the study provide valuable insights on the ASEAN ATS route network and the future direction for efforts to prevent structure imbalances by increasing capacity or reducing demand.
Administration and Evaluation of Technology Integration and Adaptation: A Basis for Training Policies and Redirection of Technology-Enabled Learning Mary Ann B. Taduyo; Augusto K. Fabella
Journal of ICT, Design, Engineering and Technological Science Volume 1, Issue 1
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-1.1.4

Abstract

This paper presents the exploratory investigation of faculty trainees' technology preparedness and capability matrix, technology adaptation and integration strategies, challenges, and motivations in facilitating blended courses. The study employed the Sequential Explanatory Research Design. A Technology Preparedness and Capability Matrix developed by the researcher was administered to the training attendees. A semi-structured interview, Focus Group Discussion, and content analysis were used to gather and analyze qualitative data. Based on the results of the Technology Capability Matrix, the faculty trainees are capable of AV technology, the web and internet-based technologies, computing and smartphone devices, social networks, educational technologies, virtual classroom, e-learning authoring tools, office productivity suites, and other components of the office suite. Thematic patterns such as knowledge creation, improved student learning, 21st-century skills, and teachers' web and social presence. Participants elicited their challenges in developing learning materials into an Outcomes-based resource and in moderating the online community in order to create a technology-enhanced learning environment. The researcher recommends considering redesigning the TEL priorities for training and development using other LMS. It is also recommended to conduct studies on the relevance and effectiveness of TEL training to the learning facilitators.
Evidence for Deeper Hydrocarbon Exploration: New Insight from the Hydrocarbon Plays in the North Celtic Sea Basin God'spower I. Onyenanu
Journal of ICT, Design, Engineering and Technological Science Volume 1, Issue 1
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-1.1.5

Abstract

This study adds to previously published works, which were based on 1D modelling, by generating 2D models using PetroModTM software. Seismic data have been used to reconstruct the regional structural framework, while the integrated wireline logs and geochemical data provided lithological, porosity, and palaeothermal information. The palaeothermal values and available vitrinite reflectance data have been used to calibrate the models to present-day heat flow of 52mW/m2. Results from this study show that hydrocarbon maturation, generation, and migration were affected by the Triassic and Late Jurassic rifting activities, resulting in a complex charge history and trap modification through time. The Late Jurassic source rocks (PurbecK) attained peak maturation for oil in the late Cretaceous, while the Early Jurassic Source rocks (Liassic and Toarcian) entered the gas window in the Early Cretaceous. Analysis of the petroleum systems for deeper hydrocarbon prospecting suggests that two expulsion phases of hydrocarbons occurred in the Late Jurassic and Early Cretaceous, respectively. This result suggests that there is potential for the charge of suitable reservoir facies at depth if the reservoir quality can be preserved. Hydrocarbon preservation risk is low in anticlinal structures, but there is a high risk of hydrocarbon remigration along modified fault planes in fault-dependent structures. The study demonstrates how basin geometry has changed through time due to multiple tectonic events, leading to modification of older traps.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2017 2017


Reset
Filter By Issues
All Issue Volume 9, Issue 1 Volume 8, Issue 2 Volume 8, Issue 1 Volume 7, Issue 2 Volume 7, Issue 1 Volume 6, Issue 2 Volume 6, Issue 1 Volume 5, Issue 2 Volume 5, Issue 1 Volume 4, Issue 2 Volume 4, Issue 1 Volume 3, Issue 2 Volume 3, Issue 1 Volume 2, Issue 2 Volume 2, Issue 1 Volume 1, Issue 2 Volume 1, Issue 1 More Issue