2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)最新文献_第3页

Effects of COVID-19 Pandemic Lockdown on Night Sky Brightness, Temperature and Air Quality Index: Case Study in Shah Alam, Selangor COVID-19大流行封锁对夜空亮度、温度和空气质量指数的影响:以雪兰莪州沙阿南州为例

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782055

Z. Ibrahim, N. Shariff, Noor Latiffah Adam, N. Diah

{"title":"Effects of COVID-19 Pandemic Lockdown on Night Sky Brightness, Temperature and Air Quality Index: Case Study in Shah Alam, Selangor","authors":"Z. Ibrahim, N. Shariff, Noor Latiffah Adam, N. Diah","doi":"10.1109/CSPA55076.2022.9782055","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782055","url":null,"abstract":"In this preliminary study, we compared Night Sky Brightness (NSB) in Shah Alam during the implementation of Movement Control Order (MCO) lockdown due to COVID-19 pandemic in June 2021 with the same duration in June 2020. Sky Quality Meter (SQM) was used to measure NSB in unit Magnitude per Square Arc Second (MSAS) while temperature was in Celsius and they were collected in Shah Alam, Selangor. The air quality information was obtained from the Malaysian AQI website. This project investigates the impact of economic and social activities during MCO lockdown to NSB, air pollution and temperature. Within the analysed time frame, the results indicate that there are some effects produced by MCO lockdown to the observed light or NSB, temperature and air pollution. On the average, the NSB, temperature and AQI have decreased by 0.25, 1.55 and 1.0, respectively. This shows that during the MCO lockdown, the air is cleaner and cooler; and the sky is darker which originates from improved air quality due to less air and road traffics; plus less industrial and human outdoor activities.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133492234","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

Automatic Plant Recognition: A Survey of Relevant Algorithms 植物自动识别:相关算法综述

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782022

Noor Aini Mohd Roslan, Norizan Mat Diah, Z. Ibrahim, H. M. Hanum, Marina Ismail

引用次数: 1

A Genetic Algorithm for the Real-world University Course Timetabling Problem 现实世界大学课程排课问题的遗传算法

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781907

Chee Hung Wong, Say Leng Goh, Jonathan Likoh

引用次数: 6

Comparative Study on Different Color Spaces for Segmentation of Acute Leukemia using Automatic Otsu Clustering 基于自动Otsu聚类的不同颜色空间分割急性白血病的比较研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781962

Siti Marissa Mohd Zairy, Nurul Hazwani Abd Halim, M. S. Sulaiman, Zuraidi Saad

{"title":"Comparative Study on Different Color Spaces for Segmentation of Acute Leukemia using Automatic Otsu Clustering","authors":"Siti Marissa Mohd Zairy, Nurul Hazwani Abd Halim, M. S. Sulaiman, Zuraidi Saad","doi":"10.1109/CSPA55076.2022.9781962","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781962","url":null,"abstract":"Leukemia is common cancer that occurs due to the abnormality in the production of white blood cells in the human blood. This disease which is likely to affect youngsters below the age of 15 years old can be detected by analysing bone marrow samples. However, the process of extracting bone marrow samples is complicated and this could cause patients to experience discomfort, hence blood samples could serve as alternatives since it also contains white blood cell (WBC) information that was needed in determining acute lymphocytic leukemia (ALL). As the development of ALL is quite fast, the early detection of the diseases is vital; hence this segmentation method was developed. The blood images of ALL patients will first be converted from RGB to HSV and Lab color space before the grayscale images produced used as the input to Otsu by clustering technique resulting in black background images while the cells will be staying in white color. Next, the watershed ridge technique has been used to remove the overlapping cells before retrieving the colored version of the WBC images. The results from testing the image segmentation method using a different component from different color spaces showed that the images applied with component b from the Lab color space proved to produce the clearest image of ALL subtypes compared to the other color components applied as the accuracy produced for B cell, T cell and normal cell were at 99.17%, 99.88%, and 99.92% respectively.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115954482","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

Control Speed of BLDC Motor using PID 采用PID控制无刷直流电机转速

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782030

Md Mahmud, Md Rafiqul Islam, S. Motakabber, Md. Dara Abdus Satter, Khan Elnas Afroz, A. Ahasan Habib

{"title":"Control Speed of BLDC Motor using PID","authors":"Md Mahmud, Md Rafiqul Islam, S. Motakabber, Md. Dara Abdus Satter, Khan Elnas Afroz, A. Ahasan Habib","doi":"10.1109/CSPA55076.2022.9782030","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782030","url":null,"abstract":"The current development of science, technology, and industrial revolutions did not happen suddenly. Many years of empirical investigation efforts by human intelligence have brought the world to its present state. As a result, new technologies and innovations would move human civilization to a more advantageous position every day. One of the other remarkable inventions of the present day is the brushless DC (BLDC) motor. The BLDC motors can play a huge role in making the industry most dynamic in the future. It has many advantages over conventional DC and AC motors. However, BLDC motors have been used in various electrical and electronic devices. The BLDC motors need a suitable control driver system to control the speed and torque to get better performance. This study utilizes the MATLAB-Simulink software to develop a combination of propositional integral derivative (PID) controllers that help control the BLDC motor’s speed more efficiently. Enhancement of the capacity of the PID controller is the main agenda of this paper. Finally, the study has undergone some tests to verify whether the BLDC motor using the PID system is more suitable and efficient than other controllers.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116895017","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: 2

Detection of Cloud Cover Average Percentage based on Adaptive Threshold Method for Energy Forecasting in Photovoltaic System 基于自适应阈值法的光伏系统能量预测云量平均百分比检测

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782007

Eylia Nurdiana Ab Razak, M. Latip, N. Zaini, Beatrice Connie Majang, A. Asmat

{"title":"Detection of Cloud Cover Average Percentage based on Adaptive Threshold Method for Energy Forecasting in Photovoltaic System","authors":"Eylia Nurdiana Ab Razak, M. Latip, N. Zaini, Beatrice Connie Majang, A. Asmat","doi":"10.1109/CSPA55076.2022.9782007","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782007","url":null,"abstract":"Over the past decade, photovoltaic (PV) technology has become one of the fastest-growing renewable energy technologies. However, due to the different energy outputs according to the weather and solar occlusion by the clouds, this will be a challenge for utility companies to use solar energy effectively. Solar Power Producers (SPP) are also asked to submit solar PV generation forecasts. In this context, our study aims to develop a method of analyzing the percentage of cloud cover based on satellite images of peninsular Malaysia. The Adaptive Threshold method is chosen to be used in this study to classify satellite images. The Adaptive Threshold algorithm is coded in Python to detect clouds and analyze the average percentage of cloud cover in Peninsular Malaysia from 8 am (0800) to 7 pm (1900). The analysis of the average percentage of cloud cover in Peninsular Malaysia is done based on the Frequency Cloud Index which has been identified by the maximum average percentage of cloud cover in Peninsular Malaysia which is from 0% to 60%. The average percentage of cloud cover data in Peninsular Malaysia was used to analyze two (2) case studies. The first case study is an analysis for each month to see the trends, maximum and minimum cloud cover in Peninsular Malaysia while the second analysis is to analyze the trend, maximum and minimum cloud cover in Peninsular Malaysia throughout the year from 5 April 2018 to 16 December 2018. Through analysis made, such an approach is seen can be used as an initial process in making predictions about solar irradiance towards solar energy efficiency.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115158895","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

Implementation of an E-voting Prototype using Ethereum Blockchain in Ganache Network 在Ganache网络中使用以太坊区块链实现电子投票原型

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782016

Y. Ahmad, Muhammad Fadhil Shaharuddin, T. S. Gunawan, F. Arifin

{"title":"Implementation of an E-voting Prototype using Ethereum Blockchain in Ganache Network","authors":"Y. Ahmad, Muhammad Fadhil Shaharuddin, T. S. Gunawan, F. Arifin","doi":"10.1109/CSPA55076.2022.9782016","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782016","url":null,"abstract":"Digitization of a secure electoral system capable of ensuring fairness and privacy has been a long-standing challenge for a variety of reasons. One is the system's reliance on a third-party organization to manage and verify election results, rendering it insecure. There is a possibility that data will be altered during the election process. As a result, a decentralized e-voting system application capable of verification will be developed in this work using blockchain technology. The Ethereum network and the Truffle framework will be used to implement smart contracts as self-executing electoral agreements. The Ganache (local blockchain) network design demonstrated that the prototype is capable of recording every voting transaction on the network without the use of a central database. The voter can verify the election result by inspecting each voting transaction on the local blockchain. The proposed design will ensure that all voting transactions are stored in a decentralized database, ensuring that no administrative control over the ballot is exercised.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126020064","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: 4

A Study on Development of Landslide Susceptibility Map in Malaysia Landslide Prone Areas by Using Geographic Information System (GIS) and Machine Learning 基于地理信息系统(GIS)和机器学习的马来西亚滑坡易发地区滑坡易发图开发研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781943

Dorothy Martin, S. Chai

{"title":"A Study on Development of Landslide Susceptibility Map in Malaysia Landslide Prone Areas by Using Geographic Information System (GIS) and Machine Learning","authors":"Dorothy Martin, S. Chai","doi":"10.1109/CSPA55076.2022.9781943","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781943","url":null,"abstract":"Landslide is a natural disaster that is common and frequently occurring in Malaysia. Thus, to reduce the impact of the landslide’s tragedy, a landslide susceptibility map is needed. The ultimate goal of this paper is to use Geographic Information System (GIS) and machine learning to develop a landslide susceptibility map. In two different landslide-prone areas in Malaysia, the performance of the two different machine learning models, Random Forest and Extreme Gradient Boosting (XGBoost) are evaluated and cross-validated. The Cameron Highland and Penang Island, Malaysia which are the subjects of this study, have a total of 233 and 443 landslides locations, respectively. These landslide locations were randomly divided into 70% for training and 30% for testing. The Digital Elevation Model (DEM), slope angle, slope length, Normalized Vegetation Index (NDVI), plan curvature, profile curvature, distance from the stream, distance from roads, Topographic Wetness Index (TWI) and Stream Power Index (SPI) are among the ten landslide conditioning factors, for which the spatial databases were developed by using GIS software. The area under the curve (AUC) of the receiver operating characteristic curve (ROC) had been applied to evaluate the machine learnings prediction accuracy. The result indicated that both XGBoost and Random Forest had a great performance across both study areas. For Penang Island, the AUC of XGBoost is 95.02% and the AUC of Random Forest is 94.99%. Meanwhile, for Cameron Highland, the AUC of XGBoost is 91.99% and the AUC of Random Forest is 92.32%. The final prediction map from this study might be useful for better planning in mitigating the occurrence of landslides.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131151676","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

Correlation Analysis between Sensors for Sensing Coffee Variations 咖啡变化传感器间的相关性分析

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781998

Jen Aldwayne B. Delmo, Mia V. Villarica, A. Vinluan

{"title":"Correlation Analysis between Sensors for Sensing Coffee Variations","authors":"Jen Aldwayne B. Delmo, Mia V. Villarica, A. Vinluan","doi":"10.1109/CSPA55076.2022.9781998","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781998","url":null,"abstract":"An electronic nose is a combination of different sensors that are used as a substitute to the human nose in sensing the odor present in a compound. This paper was conducted to identify and correlate different sensors appropriate to be utilized in an electronic nose that is suitable for sensing the aroma of a coffee. Through different trial and error analyses, there are four identified sensors from the MQ family that are best to classify a coffee bean. The identification of the correlation of the different sensors from the MQ family such as MQ 2, MQ 7, MQ 135, and MQ 137 to be applied to different coffee samples was the focus of this paper. The detection of the aroma coming from the variety of Liberica, Excelsa, Robusta, and Arabica coffee was conducted and resulted in 192 gas data. The gas data was extracted based on sensed gas of the signal data sent by the four sensors to the Arduino. The result was identified that the four sensors can be utilized for an electronic nose intended to detect the aroma present in a coffee. This will be of contribution in determining the precise sensors to be associated with each other in discrimination a specific variety of coffee. The achievement of this paper entails a direction that could potentially revolutionized the coffee industry to be more engaging and adaptive to consumer’s preference through the application of electronic nose.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116196611","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

Investigation on the Effect of the Ferrous Particles Size on the Impact Absorption Capability of Magnetorheological Elastomer 铁颗粒尺寸对磁流变弹性体冲击吸收性能影响的研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782010

K. Hudha, Normidatul Salwa Sobri, Kavin Sumasundram, Nur Akmal Haniffah, Zulkiffli Abd Kadir, Mohd Sabirin Rahmat

{"title":"Investigation on the Effect of the Ferrous Particles Size on the Impact Absorption Capability of Magnetorheological Elastomer","authors":"K. Hudha, Normidatul Salwa Sobri, Kavin Sumasundram, Nur Akmal Haniffah, Zulkiffli Abd Kadir, Mohd Sabirin Rahmat","doi":"10.1109/CSPA55076.2022.9782010","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782010","url":null,"abstract":"This study presents the effect of ferrous particles size on impact absorption capability using magnetorheological elastomer (MRE). This study aims to determine the optimum parameter of ferrous particle size for MRE to obtain the maximum impact absorption capability performance. In order to develop MRE, the composition of MRE RTV silicon rubber, hardener, and CI particles with size of 20, 40, and 60 μm are investigated. In real-life applications, the optimum performance of MRE is influenced by the size of ferrous particles. Therefore, the preparation of MRE material is evaluated through experimentation to obtain optimum MRE composition parameters. In this study, three models of isotropic MRE were tested in off-state and on-state conditions with input current values of 0A, 0.5A, 1A, 1.5A, and 2A. The impact test machine was used to validate its performance in impact absorption capability. Validation of the performance is done by evaluating the response of the damping force of MRE material. As a result, this study proves that the size of Carbonyl Iron particles and the value of injected current can affect the response of damping force of MRE. Since the impact absorption capability of MRE can be determined by the response of damping force, the optimum size of CI particle to absorb the maximum impact is determined in this experiment. Therefore, the objective of this study is justified by finding the optimum CI particle size for best impact absorption capability, which is 60 μm in on-state condition with 2A input current.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128257348","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: 2