International Journal of Advances in Engineering Sciences and Applied Mathematics最新文献

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A numerical simulation of PM2.5 concentration using the WRF-Chem model during a high air pollution episode in 2019 in Jakarta, Indonesia 2019年印度尼西亚雅加达高空气污染期间,使用WRF-Chem模型对PM2.5浓度进行了数值模拟
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-12-01 DOI: 10.11591/ijaas.v11.i4.pp335-344
R. H. Virgianto, Rayhan Rivaniputra, Nanda Putri Kinanti, Agung Hari Saputra, A. Khoir
{"title":"A numerical simulation of PM2.5 concentration using the WRF-Chem model during a high air pollution episode in 2019 in Jakarta, Indonesia","authors":"R. H. Virgianto, Rayhan Rivaniputra, Nanda Putri Kinanti, Agung Hari Saputra, A. Khoir","doi":"10.11591/ijaas.v11.i4.pp335-344","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i4.pp335-344","url":null,"abstract":"Jakarta, as a megapolitan city, is always crowded with thousands of vehicles every day which results in decreased air quality due to combustion emissions and may have a significant impact on human health. Particulate matter (PM2.5) is a pollutant that has an aerodynamic diameter of fewer than 2.5 micrometers and very easy to enter the human respiratory system so it can affect health. In the dry season, rain as the main natural mechanism for reducing PM2.5 occurs very rarely, causing an accumulation of PM2.5 concentrations in the atmosphere. The weather research and forecasting model coupled with chemistry (WRF-Chem) model is a dynamic model that works with atmospheric chemistry combined with meteorological variables simultaneously. This study aims to simulate the concentration of PM2.5 in Jakarta during the high air pollution episode from 20 to 29 June 2019 with the WRF-Chem model based on the T1-MOZCART chemical scheme. Spatial analysis was conducted to determine the distribution of PM2.5 concentrations during high air pollution episodes in Jakarta. Validation of the simulation model was based on three observation sites, one in South Jakarta and two in Central Jakarta. The results showed that the highest correlation is 0.3 and the lowest root mean square error (RMSE) is 26.4, while the simulations still tend to overestimate the PM2.5 concentration.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91186090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
An overview of the potential of Citrus hystrix (kaffir lime) essential oil as mosquito repellent 柑桔精油驱蚊潜力综述
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-12-01 DOI: 10.11591/ijaas.v11.i4.pp360-366
N. A. Md Zaki, J. Jai, Izzat Syahmi Kamal Shahrizan, D. S. Fardhyanti, M. Megawati, N. A. Imani
{"title":"An overview of the potential of Citrus hystrix (kaffir lime) essential oil as mosquito repellent","authors":"N. A. Md Zaki, J. Jai, Izzat Syahmi Kamal Shahrizan, D. S. Fardhyanti, M. Megawati, N. A. Imani","doi":"10.11591/ijaas.v11.i4.pp360-366","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i4.pp360-366","url":null,"abstract":"A chemical-based insect repellent such as N, N-diethyl-3-methylbenzamide (DEET) is commonly used against all insects despite its toxicity in humans. Hence, a repellent agent from natural sources of plant essential oil was introduced. Some of the plants which have the repellent potential are catnip, hairy basil, citronella, vetiver, clove, and citrus. Citronellal, citronellol, geraniol, eugenol, eugenol-acetate, and beta-caryophyllene are among the repellent active components in these plants. Citrus hystrix (kaffir lime) was known for several applications in food, health, and skincare, but its potential as mosquito repellent is still new. This overview paper highlights the potential of kaffir lime essential oil as a mosquito repellent and the encapsulation of essential oil related to mosquito repellent. Several studies on kaffir lime essential oil as mosquito repellent was conducted and revealed that the major repellent active components are citronellol and limonene. Pure kaffir lime essential oil provides one-hour repellent protection against the mosquito. However, an addition of 5% vanillin prolongs the protection time to three hours. Essential oil is easily vaporized at room temperature which shortens its effectiveness time. Encapsulation of the essential oil would control the vaporization process and hence prolong its efficiency. Nonetheless, almost no research work reported on the encapsulation of kaffir lime essential oil and the release mechanism of the encapsulated kaffir lime.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82370848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Sono-hydrolysis of banana stem midrib using HY-zeolite from natural sand-based silica as a catalyst 以天然砂基二氧化硅hy -沸石为催化剂对香蕉茎中脉进行声波水解
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-12-01 DOI: 10.11591/ijaas.v11.i4.pp306-311
S. Sumari, A. Santoso, Muhammad Roy Asrori, Yana Fajar Prakasa, Dinar Rachmadika Baharintasari
{"title":"Sono-hydrolysis of banana stem midrib using HY-zeolite from natural sand-based silica as a catalyst","authors":"S. Sumari, A. Santoso, Muhammad Roy Asrori, Yana Fajar Prakasa, Dinar Rachmadika Baharintasari","doi":"10.11591/ijaas.v11.i4.pp306-311","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i4.pp306-311","url":null,"abstract":"Banana stem midrib has potential as glucose source through catalytic hydrolysis assisted by ultrasonic (sono-hydrolysis). Besides, natural sand-based silica is potential as raw material for zeolite synthesis. The purpose of the study was to do two things: i) characterize HY-zeolite made from natural sand-based silica and ii) determine whether or not HY-zeolite is effective for sono-hydrolysis of banana stem midrib. There was a total of four processes that were carried out, including i) the extraction of silica, ii) the synthesis of HY zeolite, iii) the hydrolysis process, and iv) the glucose content test. The results of the study were gain two things: i) The findings of X-ray florescence (XRF), X-ray diffraction (XRD), scanning electron microscopy (SEM), and fourier transform infrared (FTIR) on HY-zeolite are 2.3 Si/Al, obtained 2 theta and d-spacing data similarities for HY-zeolite, and formed T-O-T, O-T-O (T = Si/Al), and Si-OH groups respectively; and ii) HY-zeolite with ultrasonic was effective for hydrolyzing cellulose into glucose at maximum temperature and time, 55 °C and 6 hours.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90934627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An effective control structure of on-board battery charger for electric vehicles 一种电动汽车车载电池充电器的有效控制结构
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp211-219
M. Khadem, M. Karami
{"title":"An effective control structure of on-board battery charger for electric vehicles","authors":"M. Khadem, M. Karami","doi":"10.11591/ijaas.v11.i3.pp211-219","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp211-219","url":null,"abstract":"The plug-in electric vehicles (PEVs) including plug-in hybrid electric and all-electric vehicles will play a key role in the transportation future throughout the World. Consequently, a variety of works must be done to decrease the cost, improve the structure and increase the convenience of PEVs. This study proposed a single-phase, non-isolated and on-board battery charger with no use of any transformer which reduced the volume and weight of the system for PEVs. The main purpose is to provide an accurate control structure in order to achieve an acceptable charging in the wide range of voltage. The proposed structure is simulated by matrix laboratory (MATLAB) software. The results showed a high-power density, high efficiency and appropriate power factor from the structure of the non-isolated and single-phase charger.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77780430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Recent developments in offshore wind energy systems: Technologies and practices 海上风能系统的最新发展:技术与实践
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp220-231
S. Vasudevan, Venkatachalam Moorthy Kondayampalayam, A. Murugesan
{"title":"Recent developments in offshore wind energy systems: Technologies and practices","authors":"S. Vasudevan, Venkatachalam Moorthy Kondayampalayam, A. Murugesan","doi":"10.11591/ijaas.v11.i3.pp220-231","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp220-231","url":null,"abstract":"This paper deals with offshore wind power generation technologies, power transmission and grid communication features, and associated power system studies for effective implementation of offshore wind energy systems, explaining its various stages of implementation. Also, this paper reviews the latest trends in offshore wind energy systems, addressing various aspects like large wind farm siting, power evacuation studies, cable selection, high-voltage direct current/flexible alternating current transmission systems (HVDC/FACTS) technology options, reliability evaluation, and autonomous monitoring. India's renewable power generation capacity through off-shore wind generation is also outlined to ensure low carbon energy emissions with improved energy efficiency. The policy and regulatory framework factors for reaching five gigawatts (GW) of offshore wind projects in the states of Tamilnadu and Gujarat by the year 2032 using current methods and advanced technology are discussed here. This goal can be accomplished using current practices and advanced technologies. For effective implementation of offshore wind farms, suitable measures and likely actions by various stakeholders are suggested.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72492318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pedestrian detection system based on deep learning 基于深度学习的行人检测系统
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp194-198
Mohammed Razzok, A. Badri, Ilham El Mourabit, Y. Ruichek, A. Sahel
{"title":"Pedestrian detection system based on deep learning","authors":"Mohammed Razzok, A. Badri, Ilham El Mourabit, Y. Ruichek, A. Sahel","doi":"10.11591/ijaas.v11.i3.pp194-198","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp194-198","url":null,"abstract":"Pedestrian detection is a rapidly growing field of computer vision with applications in smart cars, surveillance, automotive safety, and advanced robotics. Most of the success of the last few years has been driven by the rapid growth of deep learning, more efficient tools capable of learning semantic, high-level, deeper features of images are proposed. In this article, we investigated the task of pedestrian detection on roads using models based on convolutional neural networks. We compared the performance of standard state-of-the-art object detectors like Faster region-based convolutional network (R-CNN), single shot detector (SSD), and you only look once, version 3 (YOLOv3). Results show that YOLOv3 is the best object detection model than others for pedestrians in terms of detection and time prediction.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79157458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
The k-Nearest Neighbor modelling by varying Mahalanobis and Correlation in distance metric for agarwood oil quality classification 在沉香油质量分类中,基于不同马氏度和相关距离度量的k近邻模型
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp242-252
Noor Syafina Mahamad Jainalabidin, Aqib Fawwaz Mohd Amidon, N. Ismail, Z. Mohd Yusoff, S. N. Tajuddin, M. Taib
{"title":"The k-Nearest Neighbor modelling by varying Mahalanobis and Correlation in distance metric for agarwood oil quality classification","authors":"Noor Syafina Mahamad Jainalabidin, Aqib Fawwaz Mohd Amidon, N. Ismail, Z. Mohd Yusoff, S. N. Tajuddin, M. Taib","doi":"10.11591/ijaas.v11.i3.pp242-252","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp242-252","url":null,"abstract":"Agarwood oil is well known for its unique scent and has many usages; as an incense, as ingredient in perfume, is burnt during religious ceremonies and is used in traditional medical preparation. Therefore, agarwood oil has high demand and is traded at different price based on its quality. Basically, the oil quality is classified by using physical properties (odor and color) and this technique has several problems: not consistent in term of accuracy. Thus, this study presented a new technique to classify the quality of agarwood oil based on chemical properties. The work focused on the k-Nearest Neighbor (k-NN) modelling by varying Mahalanobis and Correlation in distance metric for agarwood oil quality classification. It involved of 96 samples of agarwood oil, data pre-processing (data randomization, data normalization, and data division to testing and training datasets) and the development of k-NN model. The training dataset is used to train the k-NN model, and the testing dataset is used to test the developed model. During the model development, Mahalanobis and Correlation are varied in k-NN distance metric. The k-NN values are ranging from 1 to 10. Several performance criteria including resubstitution error (closs), cross-validation error (kloss) and accuracy were applied to measure the performance of the built k-NN model. All the analytical work was performed via MATLAB software version R2020a. The result showed that the accuracy of Mahalanobis distance metric has a better performance compared to Correlation from k=1 to k=5 with the value of 100.00%. This finding is important as it proved the capabilities of k-NN modelling in classifying the agarwood oil quality. Not limited to that, it also contributed to the agarwood oil research area as well as its industry.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77766997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Skin cancers image classification using transformation and first order statistic features with artificial neural network classifier 基于变换和一阶统计特征的人工神经网络皮肤癌图像分类
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp232-241
A. Alqaisi, Loay E. George
{"title":"Skin cancers image classification using transformation and first order statistic features with artificial neural network classifier","authors":"A. Alqaisi, Loay E. George","doi":"10.11591/ijaas.v11.i3.pp232-241","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp232-241","url":null,"abstract":"Skin cancer is one of the most dangerous types of cancer. Some types of this cancer lead to death, so cancer must be discovered and indexed to avoid its spread through initial detection in the impulsive stage. This paper deals with the detection and indexing of different types of melanomas using an artificial neural network (ANN) depending on the international skin imaging collaboration (ISIC) 2018 dataset that was used. The pre-processing is the most important part because it formulates an image by insolated the cancer part from the skin image. It consists of four stages, removable, cropping, thinning, and normalization. This phase has been used to eliminate all the undesirable hair particles on the image lesion. The cropped image transforms into frequency domain coefficients using discrete cosine transform (DCT), discrete wavelet transform (DWT), and gradient transform for sub-band images to extract its feature. The statistical feature extraction is implemented to minimize the size of data for ANN training. The experimental analysis used dataset ISIC 2018 consisting of seven different types of dermoscopic images (this paper deals with four types only). For classification purposes, ANN was implemented and the accuracy obtained is about 88.98% for DWT, 85.44% for sub-band DCT, and 76.07% for sub-band gradient transform.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80760906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Advanced optimal GWO-PID controller for DC motor 先进的直流电机最优GWO-PID控制器
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp263-276
G. Aziz, S. W. Shneen, Fatin Nabeel Abdullah, D. H. Shaker
{"title":"Advanced optimal GWO-PID controller for DC motor","authors":"G. Aziz, S. W. Shneen, Fatin Nabeel Abdullah, D. H. Shaker","doi":"10.11591/ijaas.v11.i3.pp263-276","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp263-276","url":null,"abstract":"The current work aims to use traditional control algorithms and advanced optimization algorithms that was chosen for its ease of control and the possibility of using it in many industrial applications. By setting the appropriate specifications for the simulation model and after conducting the planned tests that simulate different applications of the motor’s work within electrical systems, the results proved to obtain good performance of the motor’s work, better response, high accuracy, in addition to the speed. The goal is to design and tune a proportional–integral–derivative (PID) controller by grey wolf optimization (GWO) using T.F for a direct current (DC) motor. To adjust the parameters of the traditional controllers using the optimum advanced, an appropriate mechanism and technology from the advanced optimization techniques were chosen, as the gray wolf technology algorithm was chosen as an optimization technique and integral time absolute error (ITAE) to adjust the parameters of the traditional PID controller.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81889370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
A lattice Boltzmann relaxation scheme for incompressible fluid flows 不可压缩流体流动的格子Boltzmann弛豫格式
IF 0.9
International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-06-01 DOI: 10.1007/s12572-022-00320-5
A. Ruhi, S. V. Raghurama Rao, S. Muddu
{"title":"A lattice Boltzmann relaxation scheme for incompressible fluid flows","authors":"A. Ruhi, S. V. Raghurama Rao, S. Muddu","doi":"10.1007/s12572-022-00320-5","DOIUrl":"https://doi.org/10.1007/s12572-022-00320-5","url":null,"abstract":"","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45311298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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