International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE
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The The Impact of Weave Structure on the Efficiency Characteristics of Chenille Yarn-Produced Upholstery Woven Fabric
No full textIn this study, we have investigated the effect of weaving structure on the Efficiency properties of upholstery woven fabrics. Different four weaving structures have been produced in four samples. To Enhance Efficiency properties through the effect of weave structure in terms of (friction, pilling, thickness, weight, and tensile properties), chenille yarns were used as weft yarn. All the samples were tested for fabric friction, pilling, thickness, weight, and tensile properties. The results indicate that weaving structure has a significant effect on the Efficiency properties of upholstery fabrics
Design Process of Lifting Crane Capacity of 300 Kilogram at PT. Pelabuhan Indonesia
Get PDFIndonesia has long coastal line surrounding the country, so it becomes a maritime country. Due to this situation, the country was endowed to numerous trading via sea by utilizing numerous harbors. In harbors, there were several activities specifically about heavy equipment lifting and loading. To uplift the heavy equipment, it is necessary to develop such tools which capable to result the lifting force. Lifting crane which extensively used for heavy equipment lifting is designed to tackle that problem. The design process of lifting crane involves several efforts of planning, design process, and numerical simulation. The planning step used initial and conceptual criteria based on references. Afterwards, the design process was developed by using computer aided design of Solidworks. The numerical simulation was carried out by using ANSYS R2 2020. The design process of lifting crane has successfully done which present a comprehensive framework to model the lifting crane of capacity 300 kilograms. The resulted design of lifting crane also meets with the safety requirement for heavy equipment lifting and loading. Therefore, the result of this research would facilitate PT. Pelabuhan Indonesia to improve the lifting crane tool with high safety and robust loading capacity
Role of Formamidinium (FA) In the Electronic and Thermodynamic Properties of MA(Pb: Sn)I3 Perovskites Using First Principle Calculations
Get PDFResearch on perovskite solar cells employing tin to replace or partially replace lead is becoming more popular because of the recent achievement of about 24.2% conversion efficiency for ecologically benign mixed Pb-Sn perovskite solar cells. However, a smaller effect on cohesive energies caused by the addition of a Sn metal has a considerable effect on thermodynamic properties of Pb-Sn perovskites under high-temperature effects. This paper investigates the role of formamidinium in the electronic and thermodynamic properties of MA(Pb: Sn)I3 perovskite alloy using density functional theory and CASTEP analysis through the Materials Studio. The intended A-cation perovskites have typical compounds FAxMA1-xSn0.5Pb0.5I3, where x=0, 0.2, 0.4 and 0.6. The control and FA-based perovskites were computed through CASTEP analysis from Material studio to determine the electronic and thermodynamic properties. The findings revealed an improved thermodynamic properties of FA added perovskites compared to control ones whereby no significant effect was found in band gap of MAPb0.5Sn0.5I3 perovskite due to addition of formamidinium. However, when x is above 0.5, the quality of the perovskite films declined, with a wide grain size dispersion and little crystallization as well as the phase impurities were detected. This necessitated a theoretical approach to achieve an optimum amount of FA additive required to improve the properties as well as providing a theoretical guidance for improving the properties of perovskite materials before carrying out experiments. Furthermore, the study predicts that it is possible to create a stable thermal MA(Pb: Sn)I3 alloy, if there is a well-thought-out design, which lays a foundation for the development and application of tin-lead mixed perovskite devices.
 
Malware Mitigation Through Detection Using Support Vector Machine and Random Forest Algorithm
Get PDFDue to the ever-growing threat of malware application, diverse malware detection mechanism has been developed by researchers. Malware detection relates to the procedure of finding malware on a host device or determining whether a particular program is malicious or benign. An instance of a malware detection mechanism is an anti-malware program designed to automatically identify malicious programs from the benign program to prevent damage to the host system. The methodology used incorporated cutting-edge detection techniques to provide an effective solution to the problem of malicious programs. This study applied a support vector machine and random forest algorithm on malware detection using a dataset obtained from the Kaggle machine learning repository webpage. In an approach to provide a feasible solution, this study structured three methodical approaches that encompass data filtering techniques referred to as preprocessing and the utilization of the correlation metric to select the most relevant features in the first phase. The second approach involves the application of the filtered and selected dataset attributes and tuples to the adapted machine learning models in particular the random forest algorithm and the support vector machine. The final phase as an approach covers the evaluation of the derived model performance using metrics such as precision, accuracy score, and, f1_score. From the statistical result from the two models concerning the evaluation metrics also, it can be deduced that the random forest classifier performs more effectively in the detection of malicious malware from the dataset sourced from the Kaggle machine learning repository.
 
Mapping and Spatiotemporal Dynamics of Land-use and Land-cover Change Based on the USGS and NASA Platforms from MCD12Q1 Landsat Imagery: A Case Study of Kinshasa, DR Congo
Get PDFKinshasa is a city with very significant urban growth. It is observed that this urban growth is concentrated in a weak area, which requires control and direction of urban expansion. To do this, it is important to understand the dynamics of cover change and land use over time. To do this, we downloaded Landsat images from the MODIS Land Cover Type Product (MCD12Q1) with a classification of these images based on remote sensing indices that we processed using geographic information system tools. We extracted the following classes: Evergreen Broadleaf Forests, Deciduous Broadleaf Forests, Mixed Forests, Closed Shrublands, Woody Savannas, Savannas, Grasslands, Permanent Wetlands, Croplands, Urban and Built-up Lands, Cropland/Natural Vegetation Mosaics, Barren and Water Bodies. We calculated the percentage of class coverage by studying the relationship between the evolution curves of these classes. It has been observed that certain classes vary depending on others over time
Effect of Welding Speed on Residual Stress and Distortion of AISI 1045 Plate Using the Finite Element Method (FEM)
Get PDFWelding is one of the metals joining methods to assembly parts which are used in manufacturing, automotive, and aerospace industries. The welding process merely simulated in modelling using finite element method (FEM). Simulation is used to determine how the effect of welding speed on the distribution of temperature, residual stress, and deformation in the V-Butt Joint welding model. The material used in this welding simulation is AISI 1045 plate with a thickness of 8 mm. Variable speed of welding performed in 30 cm/minute, 40 cm/minute and 50 cm/minute. As the result, the residual stress and distortion will be compared in order to find the best welding speed which produces the smallest residual stress and distortion value. Welding simulation based on SMAW with 6.3 mm of E7016 electrode, current of 150 A, voltage of 26 V, and single-pass welding. The finite element method using the ANSYS 2020 R2 software for simulation. Welding simulation uses transient thermal and moving heat flux features, while residual stresses and distortion use static structural features. From this research, the maximum temperature distribution after welding at welding speeds of 30 cm/minute, 40 cm/minute and 50 cm/minute were 295.22 ℃, 240.59 ℃ and 205.94 ℃, respectively. In this study, the welding speed of 30cm/minute has the highest values of residual stress and distortion, which is about 0.00000036965 MPa and 0.090894 mm. Besides, for welding speed of 40 cm/minute and 50 cm/minute, the total residual stress and total distortion value are 0.00000027744 MPa; 0.067248 mm and 0.00000022218 MPa; 0.053419 mm, respectively
The Impact of Meteorological Changes on Human Comfort in Residential Buildings
Get PDFThis research article investigates the effect of meteorological changes on the comfort of residents in Imo State, Nigeria, which is situated in a tropical monsoon climate. The study aims to assess the state of the indoor environment in residential buildings in Imo State, considering thermal changes caused by meteorological variations. A case study approach was adopted, focusing on a selected residential building in Umuasonye, Orji, Owerri North, Imo State. The study spanned a period of 10 years, from 2011 to 2021, and included physical observation, measurement, and qualitative analysis of the collected data. A case study approach was employed to overcome limitations in accessing a large sample size of individual residential buildings. The selected residential building in Umuasonye, Orji, Owerri North, Imo State served as a representative example for the study. Data collection involved physical observation, measurement, and qualitative analysis over a 10-year period, from 2011 to 2021. This approach allowed for a comprehensive understanding of the indoor environment and its relationship with meteorological changes. Findings reveal significant climate and weather changes in Imo State, leading to thermal variations in building spaces. The study assesses the impact on resident comfort and identifies adaptive strategies employed. During dry seasons, residents utilized cooling systems, ventilation, and reduced hot water usage. In wet seasons, measures such as closing windows, wearing thick clothing, and increased hot water usage were observed. This research provides valuable insights into the impact of meteorological changes on resident comfort in Imo State, Nigeria. It highlights the importance of climate-responsive building design and systems, showcasing adaptive strategies employed by residents. The case study approach contributes to knowledge for architects, building industry stakeholders, and users interested in promoting climate-responsive buildings and systems.Keywords: Climate Change; Indoor Cooling; Thermal comfort; Residential Building
Advanced Evaluation Method for Video Retrieval System
Get PDFIn the past few years, the multimedia storage has increased and costs of storing multi-media data has become cheaper. Which is why, there are large numbers of videos that are available in the video repositories. With development of the multi-media data types and available bandwidths. The proposed method transfers each video of database into scenes using color histogram based scene change detection algorithm and key frames are extracted. For key frames multiple features are obtained using straight forward rules. A new framework depending on CNNs (convolutional neural networks) is recommended to perform the content based video retrieval with the less storage cost also with higher search capability. The recommended framework subsists of extraction algorithm with respect to key-frame and the feature collection strategies. Particularly, the extraction algorithm of key-frame takes benefit of clustering idea; so in that case excessive information is taken out from video data and also the storage cost is highly shortened. This work present a method uses the extracted features with convolutional neural network (CNN) for classification tasks. In this research paper, different types of videos will be used and the important features will be extracted using SIFT, after that we use the deep learning(CNN) process will be performed. The experimental results showed the efficiency and effectiveness of suggested approach.
 
Cyber Security: Challenges and Preventive Measures
Get PDFCyber Security plays a vital role in information technology. In recent days, the major issue faced by most private companies and government organizations is cyber-attacks, which can cause significant financial harm. Everything today has become electronic and protecting the data from cyber-attacks has become the biggest challenge. There are diverse ways to prevent cyber security attacks. The primary focus of this article is to present a variety of cyber security attacks and discuss some preventive measures on how to overcome the challenges posed by those attacks
Application of Machine Learning Technology for Automatic Motion Recognition for Japanese Tea-Making Procedure of CHA-NO-YU
Get PDFCHA-NO-YU, the Japanese traditional tea-making ceremony, has been a research subject in many academic fields including anthropology, psychology, and engineering. To effectively study the CHA-NO-YU, automatic recognition of motions of the tea-making procedure is desirable. Hence, herein, a method is proposed to recognize 12 motion classes of the tea-making procedure with acceleration, angular velocity, and right-hand tilt angle data. In the experiment, one Japanese subject with 18 years of experience in CHA-NO-YU performed the 12 motion classes repeatedly, and a 99-sensor dataset was obtained for every motion class. In the recognition step, random forest classifier was adopted. Finally, the recognition of the 12 motion classes of the tea-making procedure could be realized with greater than 0.98 accuracy, precision, recall, and F1-score