11883 research outputs found
Sort by
Polarization-Insensitive, High-Efficiency Metasurface with Wide Reception Angle for Energy Harvesting Applications
Full text linkThis research presents an innovative polarization-insensitive metasurface (MS)
harvester designed for energy harvesting applications at 5 GHz, capable of operating efficiently over wide reception angles. The proposed MS features a novel wheel-shaped resonator array whose symmetrical structure ensures insensitivity to the polarization of incident electromagnetic (EM) waves, enabling efficient energy absorption and minimizing reflections. Unlike conventional designs, the metasurface achieves near-unity harvesting efficiency, exceeds 94% under normal incidence, and maintains superior performance across
various incident angles for TE and TM polarizations. To validate the design, a 5 × 5-unit cell array of the MS structure was fabricated and experimentally tested, demonstrating excellent agreement between simulation and measurement results. This work significantly advances metasurface-based energy harvesting by combining polarization insensitivity, wide-angle efficiency, and high absorption, making it a compelling solution for powering wireless sensor networks in next-generation applications
Religious Moderation and Interfaith Harmony in Maqashid Sharia: An Analytical Study of Quranic Hermeneutics
No full textIdeally, religious moderation and communal harmony should serve as the
cornerstone for building a harmonious social life, particularly in diverse
societies. However, the reality reveals that interfaith conflicts and a lack of
tolerance still often occur, driven by narrow and exclusive interpretations of
religion. This phenomenon hinders the creation of peace and harmony within
pluralistic communities. This article is based on qualitative research. The
methodology employed is a content analysis of Quranic verses through a
hermeneutic approach. The findings indicate that maqasid shariah provides a
strong foundation for promoting religious moderation and communal
harmony. Values such as justice, welfare, and the protection of individual rights
embedded within maqasid shariah can serve as guidelines for creating a
tolerant and harmonious society. The Quranic hermeneutic approach also aids
in understanding the messages of moderation contextually, enabling practical
solutions to the challenges of diversity in modern society
A Self-Adaptive Enhanced Vibrating Particle System Algorithm For Structural Optimization: Application To Iscso Benchmark Problems
No full textStructural optimization plays a crucial role in engineering design, aiming to minimize weight and cost while satisfying performance constraints. This research presents a novel SelfAdaptive Enhanced Vibrating Particle System (SA-EVPS) algorithm that automatically adjusts algorithm parameters to improve optimization performance. The algorithm is applied to two challenging examples from the International Student Competition in Structural Optimization (ISCSO) benchmark suite: the 314-member truss structure (ISCSO_2018) and the 345-member truss structure (ISCSO_2021). Results demonstrate that SA-EVPS achieves significantly better solutions compared to previous studies using the Exponential Big BangBig Crunch (EBB-BC) algorithm. For ISCSO_2018, SA-EVPS achieved a minimum weight of 16543.57 kg compared to 17934.3 kg for the best EBB-BC variant—a 7.75% improvement. Similarly, for ISCSO_2021, SA-EVPS achieved 4292.71 kg versus 4399.0 kg for the best EBB-BC variant—a 2.42% improvement. The proposed algorithm also demonstrates superior convergence behavior and solution consistency, with coefficients of variation of 3.13% and 1.21% for the two benchmark problems, compared to 12.5% and 2.4% for the best EBB-BC variant. These results highlight the effectiveness of the SA-EVPS
algorithm for solving complex structural optimization problems and demonstrate its potential for engineering applications
The Effects of Direct Fire and Strength on Autoclaved Aerated Concrete Containing Semiconductor Electronic Molding Resin Waste (AAC-SEMRW) on Partition Panel Application
No full textThe research highlights semiconductor electronic molding resin waste (SEMRW) has the potential to improve the strength and fire resistance of Autoclaved Aerated Concrete (AAC) due to its excellent properties of (SEMRW) in terms of physical, mechanical, and fire resistance performances. The possibility of SEMRW by its addition in AAC concrete is explored by analyzing the effect of varying additions on the properties of AAC. This fundamental research is to propose a different percentages composition (5%, 10%, 15%,20%, 25%, and 30%) of SEMRW as a partial replacement of sand and containing with standard amounts of cement, quartz sand, water, and a 1% aluminum paste. All specimens experienced a steam curing process for 12 hours at a temperature of 180°C and a steam pressure of 13 bar in an autoclave machine to produce (AAC- SEMRW). The results revealed 20% SEMRW of AAC provides the higher compressive strength at 5.19 MPa. Modulus young and Modulus rupture at 0.11 Gpa and 3.11 Mpa, respectively. In terms of the rate of direct fire analysis, the test gives a
higher percentage at 90%. The findings show that AAC-SEMRW can be used as an ecofriendly alternative to typical construction materials by recycling industrial waste and decreasing environmental impact, hence promoting sustainable construction practices. These findings highlight the material's potential in applications that require lightweight, robust, and fire-resistant building solutions, hence contributing to future advances in green construction technology
Malware Classification and Detection using Variations of Machine Learning Algorithm Models
Full text linkMalware attacks are attacks carried out by an attacker by sending malicious
codes to various files or even many packages and servers. Therefore, reliable
network operations are a factor that needs to be considered to prevent attacks
as early as possible in order to avoid more severe system damage. Types of
attacks can be Ping of Death, flooding, remote-controlled attacks, UDP
flooding, and Smurf Attacks. Attack data was obtained from the ClaMP
dataset, which has an unbalanced data set, and has very high noise, so it is
necessary to analyze data packets in network logs and optimize feature
extraction which is then analyzed statistically with machine learning
algorithms. The purpose of the study is to detect, classify malware attacks
using a variety of ML Algorithm models such as SVM, KNN and Neural
Network and testing detection performance. The research stage starts from
pre-Processing, extraction, feature selection and classification processes and
performance testing. Training and testing data in the study used a mixed
model, namely data division, split model and cross validation. The results of
the study concluded that the best algorithm for detecting malware packages
is the Neural Network for the Feature Combination category with an accuracy
rate of 96.91%, Recall of 97.35% and Precision of 96.78%. So that the study
can have implications for cyber experts to be able to prevent malware attacks
early. While further research requires a special algorithm to improve malware
attack detection, in addition to KNN, SVM and Neural Network. And another
research challenge is to focus on feature extraction techniques on datasets that
have unbalanced or varied features with the Natural Language Processing
(NLP) approach. So this research can be used as a reference for researchers
who are conducting research in the same field
Performance Autoclaved Aerated Concrete of Crushed Coconut Shell (AAC-CCS) for AAC Board Panels
Full text linkThis study investigates the feasibility of incorporating crushed coconut shell (CCS) as a partial replacement for quartz sand in autoclaved aerated concrete (AAC). It highlights the dual benefits of reducing environmental waste and enhancing AAC's material properties, presenting a sustainable approach to construction. The integration of CCS into AAC aligns with global sustainability goals by addressing resource depletion, high energy demands, and environmental concerns linked to quartz sand extraction. Furthermore, this research emphasizes the potential of agricultural waste utilization, such as CCS, to promote eco-friendly construction practices, offering innovative solutions to meet the increasing demand for sustainable building materials. By replacing quartz sand with varying proportions of CCS (0%, 2.5%, 5%, 7.5%, 10%, 12.5%,
and 15%), the research evaluates its effects on the mechanical, fire resistance, and surface properties of AAC. The findings reveal that a 2.5% CCS substitution
demonstrated the highest compressive strength of 3.7 MPa, as well as improved
Young’s modulus and modulus of rupture, while maintaining lightweight
characteristics. Additionally, fire resistance tests revealed that 2.5% CCS achieved the highest fire resistance rate of 92%, indicating superior thermal insulation and heat diffusion properties. Surface analysis demonstrates minimal damage post-fire exposure for formulations below to 7.5% CCS. The findings demonstrate that CCS not only provides a viable replacement for traditional aggregates but also enhances the fire resistance and structural durability of AAC, particularly at optimal levels of substitution
Study On Coastal Sediment Properties And Water Quality At Pantai Perpat, Batu Pahat, Johor
Full text linkThis study was conducted at Pantai Perpat, Batu Pahat, Johor, to investigate
the correlation between suspended sediment concentration and particle size
distribution. The objectives included identifying water quality parameters,
assessing suspended sediment levels, and studying correlations across coastal
zones. Water and sediment samples were collected from twelve stations using
the grab sampler method, with parameters such as pH, temperature, total
suspended solids (TSS), turbidity, sediment size, and moisture content analyzed in designated laboratories. Variability in coastal water quality was observed, with pH values ranging from 7.40 to 7.77 and temperatures from 24.97°C to 26.33°C, indicating acceptable levels. Zone 1 exhibited high turbidity (699 NTU) and TSS concentration (12,393.33 mg/L), suggesting potential issues. Sediment size distribution varied among coastal zones: Zone 1 had a mix of various sediment sizes, primarily silty clay, while Zones 2, 3, and 4 consisted mainly of sandy sediments. Correlations between turbidity and median grain size (D50) varied across the zones, with strong correlations in Zone Middle Tide (MT) (R² = 0.7836) and Zone High Tide (HT) (R² = 0.5846), and a weak correlation in Zone Low Tide (LT) (R² = 0.0124). Strong correlations were also found between TSS and D50 in Zone MT (R² = 0.9924), with moderate and weak correlations in Zones HT (R² = 0.3384) and LT (R² = 0.146), respectively. Understanding water quality and sediment characteristics is crucial for effective environmental management and coastal planning. These findings provide valuable insights for decision-makers involved in coastal development projects. Further research should focus on long-term monitoring and sediment transport dynamics to support sustainable coastal managemen
Organizational Justice And Organizational Citizenship Behavior Among Librarians
Full text linkOrganizational justice plays an essential role in affecting extra role behavior
which is above and beyond formal role requirements. It is believe that there is
a relationship between organizational justice and organizational citizenship
behavior. Therefore, this study was aimed to identify the level of organizational
justice and the level of organizational citizenship as well as to investigate the
relationship between organizational justice and organizational citizenship
behavior among librarian at Public Library in the State of Selangor. This study
is a cross-sectional study whereby data is collected from a total of 105
respondents. The data were analyzed using Statistical Package for Social Science version 22. Descriptive and inferential statistics were used for data
analysis. Findings showed that there was a moderate level of organizational
justice and a high level of organizational citizenship behavior among the public
librarian. Result also reveals that there is a significant strong positive relationship between all dimension of organizational justice and organizational citizenship behavior among the public librarian with interactional justice was found to have the strongest relationship with organizational citizenship behavior followed by distributive and procedural justice. Therefore, it is necessary to enhance justice in organization by looking into the organizational policy and holding training programs for employees to foster them the tendency to display voluntary behaviors
A New Water Level Measurement Technique Using Artificial Intelligent
Full text linkFlash floods are a growing concern worldwide, causing economic and
social losses, increased death rates, and damage to infrastructure. The
rapid nature of these disasters has led to delayed and inaccurate flood
event information, causing public confusion and delays in response. This
study aims to use AI to measure flood levels in real-time to improve flood
information during flash floods. In this study, an Axia automobile as a
model has been tested in an open space area. Then, box and manilla card
is used as a level to mark the height of flood water, which is 15cm, 30cm,
and up to 105cm. Data was collected by taking pictures of the vehicle
from a distance of 620cm, 720cm, and 820cm. Teachable Machine
applications has been used in this experiment to train the model for the
data analysis. Image processing methods from the data have been used
to identify flood elevation. Key findings show the true percentages and
false percentages accuracy of AI measurements on water level and
distances measurement. Accuracy of AI measurements for distance
represent 80% accuracy for correct value and 20% for the wrong values.
Other than that, for accuracy of AI measurements on water level shows
90.5% indicates the accurate percentage and 9.5% indicates the
inaccurate percentages. Additionally, the comparison in measuring water
level between two devices, which is camera and Iphone show that the
camera achieves 87% is accurate meanwhile the Iphone reached 62% of
accurate values. Good agreement shows based on findings. However,
some areas need to be improved especially for Iphone devices