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Innovation in Engineering
Published by Researcher and Lecturer Society
ISSN : 30475473     EISSN : 30475473     DOI : https://ie.rlsociety.org/index.php/ie/oai
Core Subject : Engineering,
Engineering
Innovation in Engineering is an international journal dedicated to publishing the latest research in the field of engineering. The journal serves as a platform for researchers, engineers and designers to share their innovative findings, methodologies and insights into the conceptualisation, development and implementation of various techniques. Overall, Innovations in Engineering plays an important role in disseminating innovative research, fostering collaboration and inspiring progress in the ever evolving field of engineering. The journal s rigorous peer review process ensures the publication of accurate and reliable information, thereby enhancing credibility and trust among its readers. It welcomes all contributions related to the latest innovations and developments in Engineering field.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 19 Documents
 1   2 
Stabilization of lateritic soil using cement and lime for road construction Kyaw, Htet Okkar; Kyaw, Nyan Myint
Innovation in Engineering Vol. 2 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.18

Abstract

In developing countries, crushed rocks are mainly used in road subbase and base courses for road construction. As a result of extremely high fuel prices and lengthy travel times, particularly from Mokepalin, which is 92 miles from Yangon, the exorbitant costs of crushed rock aggregates for road building in Myanmar have therefore become a major concern. Due to energy consumption and carbon emissions, this dependence on remote sources results in increased building costs, project delays, and environmental destruction. In Yangon, local marginal materials (lateritic soil) are also available in Hmawbi, Hlegu, Taikkyi and Twantay townships. According to the engineering properties of soil in term of CBR, Hmawbi lateritic soil is nearly the same as the Mokepalin. Therefore, lateritic soil from Hmawbi was selected as a case study material for this research in order to reduce costs and to be more economical. To evaluate the engineering properties of soil, laboratory tests including sieve analysis, Atterberg limits, UCS, compaction, and CBR testing were carried out. The purpose of this paper is to stabilize lateritic soils for possible use as materials for road sub base and base to substitute crushed rocks. Results showed that 2% of cement and lime content met subbase course for Unconfined Compressive Strength (UCS) values of 0.75 MPa and 1.75 MPa according to Joint Departments of the Army and Air Force and 16% of cement satisfied for road base course for UCS value of 5.36 MPa. The use soil lime mixture was found to be unsuitable for road base course. Cement stabilized lateritic soil proved to be stronger, durable and better than soil lime mixture for road construction.
Seismic risk assessment of existing RC structures using fragility-based approach Kyaw, Cho Wai Phyo; Mon, Khin Aye
Innovation in Engineering Vol. 2 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.20

Abstract

This study investigates the seismic performance of two groups of existing reinforced concrete (RC) buildings: those designed and constructed according to older standards (pre-code RC buildings) and those designed and constructed in accordance with current seismic code requirements (moderate-code RC buildings). Recognizing the potential seismic vulnerability of these structures, this research aims to develop fragility curves to probabilistically assess their seismic performance. Non-linear time history analysis (NTHA) and incremental dynamic analysis (IDA) are employed, considering inter-story drift ratios (%ISDR) as key engineering demand parameters. These parameters are employed to link structural response to ground motion intensities (PGA) across various hazard levels, including Service Level Earthquake (SLE), Design Basic Earthquake (DBE), and Maximum Considered Earthquake (MCE). Eleven sets of ground motions, selected from the PEER database and matched to the Yangon target response spectrum, are used to simulate seismic loading. A representative 12-story RC frame with two plan aspect ratios is analyzed, considering material and geometric non-linearities. Five performance limit states (Fully operational, Immediate Occupancy, Damage Control, Life Safety, and Collapse Prevention) are defined based on FEMA 356. The developed fragility curves provide valuable insights into the seismic vulnerability of existing RC structures, informing the development of effective seismic risk-mitigating strategies and enhancing the resilience of urban areas.
Experimental study on strength reduction due to corrosion in reinforced concrete slabs with and without steel fibers Kyu, Hnin Hnin; Htwe, Khin Su Su
Innovation in Engineering Vol. 2 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.21

Abstract

Corrosion significantly affects deterioration in reinforced concrete structural members, severely compromising their strength and durability, especially in regions with heavy rainfall and exposure in coastal areas. Currently, steel fibers have been increasingly used in the construction industry because of their enhanced durability, crack resistance and overall structural performance and it’s been emphasized for more research. Moreover, most previous studies have focused on corrosion damage in reinforced concrete slabs and beams, further research is needed to study the behavior of corrosion in RC slabs with steel fibers and the proneness of steel fibers to corrosion. This study aims to experimentally evaluate the impact of corrosion on the flexural strength and durability of steel fiber-reinforced concrete (SFRC) slabs comparing with conventional reinforced concrete (RC) slabs. An accelerated corrosion process was applied using a 5% sodium chloride electrolyte solution and a 5V output over 240 days. Corrosion levels in the slabs were assessed by using the Cor-Map technique. The results indicated that SFRC slabs exhibited higher corrosion levels than conventional RC slabs, likely due to the increased exposed area from the distributed steel fibers. The results of experimental flexural strength tests showed that the percentage reduction in flexural strength of the SFRC slab was greater than that of the conventional RC slab after corrosion. Although SFRC slabs exhibited faster corrosion due to the presence of steel fibers, fiber corrosion did not contribute to the corrosion of main steel bars and these slabs performed better than conventional RC slabs in terms of flexural strength and crack resistance in both before and after corrosion. According to this experimental research, the behavior of steel fiber corrosion in RC slabs is well known, and it showed that steel fibers could be effectively used in RC slabs and these results provided a valuable reference for assessing the residual capacities of existing steel fibers reinforced concrete slabs affected by corrosion.
Experimental study on damping properties of concretes under free vibration with different tyre wastes Win, Cho Zin; Htwe, Khin Su Su; Kyaw, Nyan Myint
Innovation in Engineering Vol. 2 No. 1 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.25

Abstract

Disposing of waste tires presents environmental challenges, making recycling into crumb rubber a sustainable solution, especially in developing countries. Moreover, concrete tends to be brittle, and incorporating crumb rubber enhances its energy absorption, which can help reduce the concrete’s brittleness. This study examines the effects of replacing fine aggregates with crumb rubber at 5% and 10% on concrete properties. Two types of crumb rubbers were used namely, low-quality and high-quality crumb rubber treated with CH3COOH solution. Results show that 5% crumb rubber improves compressive strength, and elastic modulus, while these properties decrease at 10% replacement. Free vibration tests using the logarithmic decrement method showed that higher rubber content increases the damping ratio, with 10% replacement yielding the best energy dissipation. Simulation using ANSYS Workbench validated the experimental findings, with natural frequencies and load-displacement behaviors closely matching experimental results. Using 5% crumb rubber enhances compressive strength, damping, and energy absorption, making concrete more versatile. This eco-friendly alternative supports sustainable construction while addressing tire waste disposal, highlighting its potential for dynamic load applications.
Localization of car license plate using adaptive Euler-template matching method Aung, Nay Zar; Peng, Jinghui; Tun, Khin Cho; Li, Songjing
Innovation in Engineering Vol. 2 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.30

Abstract

License plate (LP) detection plays an important role in intelligent transportation systems smart traffic control systems of today. Although it is simple and easy to implement for LP detection, traditional template matching method is less favorable compared to state-of-the-art methods due to its processing cost. Thus, this study proposes an innovative template matching method called “adaptive Euler-template matching method” for detection of LP. Two different models of Euler-template and a new matching concept are proposed. The proposed method is evaluated by detecting LP in a total of 150 test images. Then, the performance of proposed method is compared with the performances of some exiting methods. The proposed method gives accuracies of 96% using Euler-template(model-A) and 96.7% using Euler-template(model-B). The average processing time of proposed method is 0.303 s. The results show that Euler-template(model-B) is more effective for LP detection. More distinct observations are presented and finally recommendations for further works are given in this study.
Analysis of trends and variability in frequency and intensity indices of precipitation over Myanmar during 1985-2020 Khaing, Min; Zin, Win Win; San, Zin Mar Lar Tin; Thiha, Soe; Shrestha, Manish
Innovation in Engineering Vol. 2 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i1.33

Abstract

In this study, an analysis of long-term extreme precipitation indices was conducted using daily observation data from 38 stations in Myanmar spanning from 1985 to 2020. Three frequency indices and six intensity indices of precipitation were analyzed using RClimDex software. The Mann-Kendall test, along with Sen’s slope method, was employed to determine the trends and magnitude of extreme indices. The spatial distribution patterns varied across different physiographic regions, with 63% to 76% of the stations displaying increasing trends in various indices. The consecutive dry days showed increasing trends in the hilly regions, whereas the consecutive wet days exhibited decreasing trends in those areas. For the maximum 1-day precipitation, 45% of stations displayed increasing trends, with 5% of those being statistically significant. The Western Hilly Region exhibited rising trends in extremely wet days, whereas other regions have experienced mixed trends. These findings highlight the need for adaptive water resources engineering and management to address the localized changes of precipitation trends that affect floods and droughts in Myanmar.
Design and development of a PID-controlled home air quality monitoring and purification system Salas, Josamae; Macas, Allain Jessel
Innovation in Engineering Vol. 2 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i2.38

Abstract

Asthma continues to be a major health concern in the Philippines, with about one in ten people living with the condition. Among its common triggers are fine airborne particles such as PM2.5 and PM10, which can easily aggravate symptoms and affect day-to-day living. In response to this problem, we developed a home-based air quality management system intended to help individuals with asthma maintain safer indoor conditions. The system was equipped with a Proportional-Integral-Derivative (PID) controller, which allowed the purifier to respond more intelligently by tracking air quality in real time and adjusting its operation before conditions became unsafe. To test this feature, we set up a prototype in a bedroom and introduced small amounts of smoke to simulate pollution. In both setups—one with PID control and one without—the purifier successfully reduced particle levels and brought the Air Quality Index (AQI) back to its baseline of 79–81. The key difference, however, was that the PID-controlled system reacted ahead of time, activating the purifier before the thresholds were crossed. This shortened the period of exposure to poor air quality and produced more stable results overall. These findings demonstrate that incorporating a PID controller can enhance the reliability and effectiveness of home-based air purifiers, providing practical support for individuals managing asthma at home.
A mobile application based on object detection algorithm for classifying robusta coffee cherry ripeness Relampagos, Natasha Marie D.; Dunque, Kristine Mae P.
Innovation in Engineering Vol. 2 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i2.39

Abstract

Accurate classification of coffee cherries based on ripeness is essential for enhancing the efficiency of harvesting and ensuring high-quality coffee production. Traditional manual sorting is labor-intensive and inconsistent, necessitating an automated solution. This study addresses the challenge by developing a mobile application that uses an object detection algorithm to classify Coffea canephore (Robusta) cherries into four ripeness categories: unripe, semi-ripe, ripe, and overripe. The application leverages a smartphone camera to capture images, which are then analyzed by a deep learning model trained on 1,200 annotated images, and classify coffee cherries in real-time. Model performance of the YOLOv5 computer vision was evaluated using a validation dataset (400 images) and a test dataset (400 images), ensuring balanced representation across ripeness levels. The application achieved an overall classification accuracy of 95.63%, with the highest accuracy for unripe cherries (98.50%), followed by semi-ripe (94.75%), ripe (94.75%), and overripe (94.50%) cherries. These results demonstrate the effectiveness of integrating mobile technology with object detection algorithm for field-based classification of coffee cherry ripeness. The developed application is potential for improving harvesting efficiency, optimizing quality control, and supporting decision-making in the coffee industry. Future work should focus on expanding the dataset, refining the classification model, and implementing the system in microcontrollers to enable an automatic sorting hardware, thereby reducing farmers’ workload and providing a comprehensive solution for our local stakeholders in the Bukidnon areas.
Detection of missing components on a PCB using image processing Cagadas, Dominic O.; Neri, Janine T.; Osin, Joebert T.; Oro, Marjo May T.; Sappal, Bhea Blair A.; Madrid, Christine Marie J.
Innovation in Engineering Vol. 2 No. 2 (2025): Regular Issue
Publisher : Researcher and Lecturer Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58712/ie.v2i2.40

Abstract

Manual inspection of PCB components is often inaccurate and inefficient due to human error, posing a significant risk to quality control in electronic systems. This study used YOLOv8, a state-of-the-art object detection model, for PCB inspections. The system, known for its speed and accuracy, achieved an impressive of 98.3% accuracy rate across 773 instances on six component classes. The system performance was evaluated under various conditions, with 98% accuracy under ideal conditions and 96% under non-ideal conditions. Error rates rose from 1% in ideal conditions to 3% in non-ideal conditions, indicating their sensitivity to environmental factors. Feedback from students, technicians, and instructors praised the system's potential, with mean rating of 4.8 for accuracy, 4.7 for functionality, 4.8 for reliability, and 4.7 for user-friendliness. The results reveal that the system is a reliable tool for PCB verification. However, optimal camera resolution and size limits are crucial for effective inspections and component identification. This research is potential to significantly enhance efficiency and accuracy in quality control processes within the electronics manufacturing industry.

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