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Journal of ICT, Design, Engineering and Technological Science
ISSN : -     EISSN : 26042673     DOI : https://doi.org/10.33150/JITDETS-8.1.1
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.
Articles 82 Documents
A Study on Designing the Identity of a Product Huang-Chen Lu; Ming-Chyuan Ho
Journal of ICT, Design, Engineering and Technological Science Volume 1, Issue 2
Publisher : Journal of ICT, Design, Engineering and Technological Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33150/JITDETS-1.2.4

Abstract

This study aims to explore how enterprise designers use their techniques to shape identity products that can be linked with the brand efficiently to fill in the hole in this area. This study uses qualitative research to analyze and interpret the thesis data. The literature research, content analysis method, in-depth interview method and focus group method are used to compare and summarize the data and construct with rooted theory. We found that we can shape the identity product by designing the identity product through specific rules. Product identity consists of product composing factors and product shaping factors. Only when we develop key product identifying features and characteristics of the group can our products be recognized, on which the strategic thinking elements to identify the product are based. An amalgamation of these factors while designing the product will help in creating products that are alluring for customers, beneficial for brands and profitable for the business.
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.
Transmitted Torque Analysis of Coaxial Magnetic Gears with Different Pole-Pair Numbers Yi-Chang Wu; Mi-Ching Tsai; Hao-Pin Wu
Journal of ICT, Design, Engineering and Technological Science Volume 3, 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-3.1.1

Abstract

Transmitted torque is an important performance index of coaxial magnetic gears. This study focuses on the effects of pole-pair numbers on the maximum torque capacity and torque ripple of coaxial magnetic gearsOwing to the magnetic resistance between the pole piece and the medium of air; a torque ripple is generated during magnetic gear operation. In magnetic gear design, maximum torque capacity is considered the higher, the better, and the torque ripple should be the lower, the better. A commercial Finite-element analysis software AN-SYS/Maxwell 2D is applied to simulate the transmitted torque and torque ripple of coaxial magnetic gears by solving the magnetic field, and mechanical motion coupled models. Model parameters, including size and inertia, are designed via the Autodesk/Inventor. The results of finite-element analysis have shown that there are certain relationships between pole-pair numbers and torque performance. It reveals that the sum of the pole-pair numbers is inversely proportional to the maximum torque capacity; the differences of maximum torque between different pole-pair number designs could be up to 82%. However, the torque ripple has not been proven for the relationship. For future research, the torque capability per cost would be necessary for magnetic gear product, especially when the price of rare earth metal is seen rising in the past years. Also, the efficiency of magnetic gear is still important for powertrain system, but it’s not easy to reach both high torque and efficiency, owing to the flux saturation problem. The balance of torque capacity, efficiency, and cost would be the next challenge.
Comparison of Fatigue Analysis Results in the Frequency Domain using PSD data and speciβic load Joon Jang; Jae Myung Cho; Won Woong Lee; Woo Chun Choi
Journal of ICT, Design, Engineering and Technological Science Volume 3, 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-3.1.2

Abstract

This study investigated the axial sensitivity of the aircraft structure to fatigue. Fatigue analysis for an aircraft needs to be done during a design stage to prevent fatigue failure during operation. Fatigue analysis can be done in a time domain or a frequency domain, and frequency domain analysis is more frequently used. Frequency domain analysis for an aircraft normally uses PSD data translated from the vibration experienced for its whole lifetime. If vibration information is insufficient in the PSD, it is supplemented by adding specific loads. In this study, the analysis was done using the PSD data with 7 different additional loads. The life was sensitive to the magnitude and direction of the load, and some loads increase the life. It was found that the aircraft structure is safe from fatigue failure. Since the fatigue test has not yet been carried out, further testing should be done. Also, further study will investigate how to quantify the sensitivity ratio of direction and magnitude of loads under various conditions.
Study of Virtual Reality and IoT for Exploring the Deep Sea Yuan-Hsun Liao; Hsiao-Hui Li; Zong-Han Xie
Journal of ICT, Design, Engineering and Technological Science Volume 3, 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-3.1.3

Abstract

In the deep sea, many puzzles have not been solved. We must overcome many difficulties if we want to explore the deep sea. Un- predictable dangers may occur when humans carry out deep-sea exploration. At this time, we can take advantage of Virtual Reality (VR) and the Internet of Things (IoT) characteristics. This paper studies the combination of the IoT and VR that can connect items to the internet, control items and send back data to observe the condition of the equipment and water pressure and break through the space constraints to let people explore the deep sea even in the virtual world. This design will greatly reduce the probability of danger. And the user can achieve the purpose of deep-sea exploration. The ocean is an area that humans have not yet fully developed, and it is also full of mystery and danger. But using VR, you can avoid temperature differences, water pressure and dangerous creatures in the sea. Through VR, you can add new things so that things that can't usually happen in real life can be presented in a virtual way.
Face Detection and Recognition for Security System using Local Binary Patterns (LBP) B.A.S.S. Karunarathne; W. H. C. Wickramaarachchi; K.K.K.M.C. De Silva
Journal of ICT, Design, Engineering and Technological Science Volume 3, 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-3.1.4

Abstract

Facial recognition has been used in several areas such as security, detection of criminals or suspects, etc. The face is considered the most important part of the human body in the person identification process since it can be considered the most important perspective in human identification. This paper proposed a real-time monitoring security system for high secured areas rather than relying on human security officers. The proposed system engages with capturing and detecting the human face using the real-time image segment captured by the web camera through the Viola-Jones algorithm. After detecting the face in the captured image, face identification can be made through the LBP by finding the similarities. Once the identification is made, automatically it recognizes the face. Open Computer Vision (OpenCV) is one of the most efficient machine learning libraries used for Object Detection. OpenCV library is used for detection, and Haar - Cascades are trained to detect certain objects. LBP is used for the face recognition process.