2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)最新文献_第8页

Optimization of Raman Spectra Peak Fitting for Oil Palm Classification 油棕分类拉曼光谱峰拟合优化

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781970

Nazrin Wahhiddan, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin

{"title":"Optimization of Raman Spectra Peak Fitting for Oil Palm Classification","authors":"Nazrin Wahhiddan, Fazida Hanim Hashim, Thinal Raj, Aqilah Baseri Huddin","doi":"10.1109/CSPA55076.2022.9781970","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781970","url":null,"abstract":"The selection of fresh fruit bunches (FFB) plays an important role to ensure the quality and quantity of palm oil. Current harvesting method relies on the experience of the harvester and by counting the number of fruitlets that have loosely fallen on the ground. A rapid and non-invasive method such as the Raman spectroscopy, that can determine the ripeness of the fruits can serve as an assisting tool during pre-harvesting. The challenge lies in the complex signal processing methods during the pre-processing of the raw Raman spectrum which highly relies on human expertise. Thus, this study aims on developing an automated and optimized signal processing algorithm that could eliminate the need of an experienced personnel in processing the raw spectra which mostly relies on experience and intuition. The process involves peak selection, noise smoothing using Savitsky-Golay filters, interpolation and peak fitting. This article focuses on optimizing the Raman spectra peak fitting during pre-processing before significant features are extracted from the peaks to be fed as input into the machine learning model. Three profiles for peak fitting that have been applied are Gaussian, Lorentzian and Voigt. The findings show that after optimization, the best fit percentage for Gaussian profile is 33%, Lorentzian 42% and Voigt 24% which is in line with the manual peak fitting method where Lorentzian profile dominates the best fit. This result shows that the Lorentzian profile or its derivative could be used as the dominant profile for automating peak fitting during raw Raman signal pre-processing.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"64 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":"114867815","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 Traffic-aware Street Lighting System Based on Fuzzy Logic Controller 基于模糊控制器的交通感知路灯系统

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782045

Fouad Agramelal, M. Sadik, A. Hannani, Youssef Moubarak

引用次数: 2

Completion of Contingency Ranking Selection (N-1) Using Ant Colony Optimization Algorithm on 500 kV JAMALI System 用蚁群优化算法完成500kv JAMALI系统的权变排序选择(N-1

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782019

Irnanda Priyadi, K. Ramli, N. Daratha, Evan Fathoni, T. S. Gunawan, E. Ihsanto

{"title":"Completion of Contingency Ranking Selection (N-1) Using Ant Colony Optimization Algorithm on 500 kV JAMALI System","authors":"Irnanda Priyadi, K. Ramli, N. Daratha, Evan Fathoni, T. S. Gunawan, E. Ihsanto","doi":"10.1109/CSPA55076.2022.9782019","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782019","url":null,"abstract":"Indonesia is an archipelago nation with the world's fourth-largest population. With such a large population, the demand for electricity increases proportionately. At the moment, the JAMALI interconnection system serves the majority of Indonesia's electricity consumers in Jawa, Madura, and Bali. On the other hand, improving the electric power system's safety quality is a requirement that an electric power system must meet. To ensure the power system's security, the Ant Colony Optimization (ACO) algorithm was used to run several contingency scenarios (N-1). The ACO algorithm was implemented in this study through the initial parameter initialization stages, the probability value calculation stage, and the 0/1 knapsack problem calculation stage using the maximum cost function. The test is conducted by varying the capacity of the knapsack. According to the results of the voltage performance index on the JAMALI 500 kV system, the highest value was 95.39 on line 35 connecting bus 26 (Bangil) and bus 27 (Paiton), followed by NaN on line 56 connecting the Krian and Gresik buses. While line 59, which connects bus 46 (Grati) and bus 47 (South Surabaya), has the lowest ranking with the lowest value at 95.14.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"15 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":"126663851","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

Feasibility Study of Fish Disease Detection using Computer Vision and Deep Convolutional Neural Network (DCNN) Algorithm 基于计算机视觉和深度卷积神经网络(DCNN)算法的鱼类疾病检测可行性研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782020

Muhammad Luqman Yasruddin, Muhammad Amir Hakim Ismail, Z. Husin, W. Tan

引用次数: 7

Intrusion Detection System Based on Machine Learning Algorithms: A Review 基于机器学习算法的入侵检测系统综述

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782043

Sandy Victor Amanoul, A. Abdulazeez

引用次数: 3

Mutual Inductance Estimation for Asymmetrical Coupler with Multiple Transmit Coils 多发射线圈不对称耦合器的互感估计

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781866

Zulkifly Aziz, M. M. Saari, Mohd Aufa Hadi Putera Zaini, Nurul A’in Nadzri, C. S. Yee

引用次数: 0

A Comprehensive Study on the Emerging Effect of Artificial Intelligence in Agriculture Automation 人工智能在农业自动化中的新兴效应综合研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781883

Md. Ridoy Sarkar, Syed Rayhan Masud, Md. Ismail Hossen, Michael Goh

{"title":"A Comprehensive Study on the Emerging Effect of Artificial Intelligence in Agriculture Automation","authors":"Md. Ridoy Sarkar, Syed Rayhan Masud, Md. Ismail Hossen, Michael Goh","doi":"10.1109/CSPA55076.2022.9781883","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781883","url":null,"abstract":"Agriculture is one of the oldest and most important professions in the world. It plays a vital role in the economic sector. The impact and application of artificial intelligence (AI) have been prominent and evident in the agriculture sector. The world population is increasing which will require more food and agricultural products. AI can help us to produce the additional requirement of agricultural products. Agriculture faces many challenges like crop disease, lack of irrigation, water management, the effect on the environment, low output, and improper soil treatment. It can be solved by the applications of AI. The use of AI in soil management, weeding, crop monitoring and disease management can solve the problems of farmers. The application of AI in agriculture is producing more with less manpower, land, and time. AI in agriculture can foster smart farming practices to limit the loss of farmers and give them high returns. This research is conducted to review several key aspects of AI in the field of agriculture. Besides, it has highlighted the anticipation and future scopes and challenges of AI in the agricultural sectors.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"18 7 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":"132131661","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

Investigating the Vertical Uncertainty in MBES Measurements MBES测量中的垂直不确定度研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781857

Tengku Afrizal Tengku Ali, M. A. Abbas, M. A. Mustafar, Mohd Shahmy Mohd Said, N. M. Hashim, SAIFUL AMAN Bin HJ SULAIMAN

{"title":"Investigating the Vertical Uncertainty in MBES Measurements","authors":"Tengku Afrizal Tengku Ali, M. A. Abbas, M. A. Mustafar, Mohd Shahmy Mohd Said, N. M. Hashim, SAIFUL AMAN Bin HJ SULAIMAN","doi":"10.1109/CSPA55076.2022.9781857","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781857","url":null,"abstract":"Obtaining the information of morphology and sediment composition using Multi-Beam Echo-Sounder Systems (MBES) is becoming the standard practice in the marine community. The leading information used for achieving that information is bathymetry, backscatter strength measurements, and its derivatives. However, like any other measurement system, the depth and its derivatives are contaminated by the uncertainties inherent in MBES and its auxiliary used sensors, survey configuration and environment. Therefore, using any bathymetry derivatives without accounting for these uncertainties might hamper the result of acoustic seafloor classification. In this contribution, uncertainties from the real MBES observations are estimated and compared with the available models of MBES vertical uncertainty from the literature. The uncertainties were calculated from the different water depths of 8m, 20m and 29m. Generally, there are some discrepancies between the predicted model and the measurements, but the differences are relatively small and within the order of magnitude of the predictions. The echo-sounder contributes the most to the total vertical uncertainty. Further investigation, such as accounting for slopes when measuring the MBES uncertainties, should be imposed to reduce the standard deviation, and the results could reflect that the uncertainties left were contributed from the MBES only. This indicates the importance of the MBES uncertainties knowledge when the bathymetric features want to use for sediment classifications.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"1 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":"129726806","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

Analysis and Simulation of the Impact of Vaccination on the Spread of COVID-19 in Indonesia Using SIR and SIR-F Modelling 使用SIR和SIR- f模型分析和模拟疫苗接种对COVID-19在印度尼西亚传播的影响

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781945

D. Mahayana, Fadel Nararia Rahman, Muhammad Fadhl ‘Abbas

{"title":"Analysis and Simulation of the Impact of Vaccination on the Spread of COVID-19 in Indonesia Using SIR and SIR-F Modelling","authors":"D. Mahayana, Fadel Nararia Rahman, Muhammad Fadhl ‘Abbas","doi":"10.1109/CSPA55076.2022.9781945","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781945","url":null,"abstract":"The COVID-19 virus pandemic in Indonesia has been going on since March 2020 and is still ongoing with conditions that need to be watched out for. This can be seen from the distribution of the addition of daily active cases in Indonesia which is still changing dynamically. An alternative solution that can help to analyze the prevention of the spread of the virus is modelling and simulating the spread of cases to estimate the description of pandemic conditions that may occur in Indonesia. A common and widely used epidemiological-based model is the SIR model, which groups individuals affected by a pandemic into several compartments. Using this modelling and utilizing the concept of machine learning technology, the modelling process can be carried out more efficiently and accurately. In this final project, two models are developed, namely SIR and one of its derivatives, SIR-F, based on machine learning concepts to estimate and simulate various scenarios of virus spread. There are 3 scenarios developed for analysis, namely the scenario without a vaccination program, a vaccination program with a health protocol that is adhered to, and a vaccination program that is not followed by a health protocol. Based on the scenario simulation, it was found that the vaccination program could have a positive impact on efforts to deal with the COVID-19 pandemic more effectively when compared to the scenario without vaccination. Meanwhile, if the vaccination program is not supported by adequate health protocols, then vaccination will not have any impact on the prevention effort. These results apply uniformly to the results of the SIR and SIR-F models. Overall, it can be concluded that the developed model can carry out all its functions as needed, with the level of accuracy through the MAPE metric reaching 0.412 for the SIR model and 0.022 for the SIR-F model.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"18 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":"129959790","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

Classification of Syncope in Front-Loaded Head-Up Tilt Test with Support Vector Machine 支持向量机对前载平视倾斜试验晕厥的分类

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781997

Mahbuba Ferdowsi, Choon-Hian Goh, Ban-Hoe Kwan

{"title":"Classification of Syncope in Front-Loaded Head-Up Tilt Test with Support Vector Machine","authors":"Mahbuba Ferdowsi, Choon-Hian Goh, Ban-Hoe Kwan","doi":"10.1109/CSPA55076.2022.9781997","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781997","url":null,"abstract":"Syncope describes a condition that causes a brief period of unconsciousness. It leads to a range of undesirable outcomes, including people suffering from fractures or having their bones broken. Clinically, a standard assessment protocol in syncope, head-up tilt (HUT) table test, was introduced. However, this assessment is limited with its unstable sensitivity and time consuming (40-45 minutes of tilting). Therefore, the aim of the study is to design an algorithm to classify subjects with and without syncope based on physiological signals (electrocardiography and blood pressure) acquired from front-loaded HUT test. The study selected a total of 52 people, 25 of whom were syncope negative and 27 of whom had syncope. Subject was rested in supine position for 10 minutes, followed with tilting at 70-degree on a tilt table for 20 minutes. Once the subject is tilted, an 800 micrograms of glyceryl trinitrate (GTN) was administered. A series of physiological signal processing and relevant hemodynamic parameters were computed. Then, feature selection was carried out with recursive feature elimination (RFE), to eliminate and determine the optimum number of features. A support vector machine (SVM) classifier was then used to classify the selected features via 5-fold cross-validation. Our model achieved an accuracy of 86.5%, precision of 85.7%, and recall of 88.9%. For patient evaluation, the proposed methodology is a viable strategy for determining if a patient is syncope positive or not.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"1 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":"130617578","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