2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)最新文献

Distribution Feeder Reconfiguration with Distributed Generation Using Backward/Forward Sweep Power Flow – Grey Wolf Optimizer 使用向后/向前扫描功率流的分布式发电配电馈线重新配置-灰狼优化器

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087738

Syed Muhammad Fadli Syed Drus, N. M. Saad, M. Abas, S. Ab-Ghani, N. Jaalam, Abid Ali

引用次数: 0

Statistical Assessment for Point Cloud Dataset 点云数据集的统计评估

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087473

A. Razali, M. Ariff, Z. Majid, H. Hamid

{"title":"Statistical Assessment for Point Cloud Dataset","authors":"A. Razali, M. Ariff, Z. Majid, H. Hamid","doi":"10.1109/CSPA57446.2023.10087473","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087473","url":null,"abstract":"Geospatial data is used in geomatics or land surveying. It provides geographical information and spatial primitives in the measured objects. Geospatial data can be developed into semantic values with digitalisation, including software and automation. For example, point clouds generated by laser scanners and photogrammetry can be rendered into a 3D model. Rendering is effective for the high richness of details of the object (e.g. buildings) compared to the point clouds, which contain noise and inconsistency of details. However, how significantly the 3D model can improve the disadvantage of the point clouds shall be determined. This paper presents a statistical analysis using hypothesis testing to identify either point clouds or 3D models are significantly different in geometry. Two (2) hypotheses were outlined; null hypothesis and alternate hypothesis between both samples data where significant difference and no significant difference were determined respectively. The statistic calculation was done using twenty (20) sample data extracted from each dataset. Root mean square error (RMSE) shows that point clouds and the 3D model are 0.132 and 0.455, respectively, evaluating that the point cloud is more accurate in geometry than the 3D model. At-test was performed to calculate the probability value. The result shows the probability value of 0.97 is greater than the alpha value of 0.05. Hence, the null hypothesis is failed to reject. This statistic test shows that the point clouds and 3D models are not significantly different in geometry.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752379","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

Understanding User Behaviour with Web Session Clustering and User Engagement Metrics 通过Web会话聚类和用户粘性指标理解用户行为

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087488

Zhou-Yi Lim, Lee-Yeng Ong, M. Leow, Ting-Wei Lee, Qi-Ming Tay

引用次数: 1

Computational Evaluation of Complexity Parameters of Machining and Manufacturing Systems 加工制造系统复杂性参数的计算评价

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087624

Li Jialin, Alexander Hernández

引用次数: 0

Data Analysis on Instruction Delivery Technology: Determining the Factors Influencing the System Adaptation of Learning Management System 教学交付技术的数据分析:确定影响学习管理系统适应性的因素

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087859

Jannina de Jesus Alfante, Eltimar T. Castro, Nephi P. Romano, Rev. Fr. Randy Jasper C. Odchigue

{"title":"Data Analysis on Instruction Delivery Technology: Determining the Factors Influencing the System Adaptation of Learning Management System","authors":"Jannina de Jesus Alfante, Eltimar T. Castro, Nephi P. Romano, Rev. Fr. Randy Jasper C. Odchigue","doi":"10.1109/CSPA57446.2023.10087859","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087859","url":null,"abstract":"To assess the status of its performance based on expectations and feedback specifically from the educators who are users of Fr. Saturnino Urios University’s (FSUU) learning management system (LMS). The researchers investigated and undermined gaps in training and learning using the analytical report. The finding showed that LMS’s purpose is not only to deliver online education but also to provide a wide range of services like acting as a platform for online courses and content and learning activities both asynchronous and synchronous instructions. An LMS may provide classroom management as well as facilitation in the perspective and paradigm of higher education with an instructor-led training system or in the context of a flipped classroom, which ushered in the inevitable arrival of a new normal in part because of this global pandemic, COVID 19. Recent LMSs contain clever algorithms that automatically recommend courses based on a user’s ability profile and extract metadata from various learning resources to produce such effective recommendations, improving s their accuracy. One of the various resources available to instructors to aid in teaching and learning is FSUU Learn. Furthermore, due to its numerous and versatile instructional elements, it is promising even after the epidemic and in face-to-face learning. The purpose of this study is to determine the elements that affect faculty and teachers at the university’s acceptance of the LMS FSUU Learn as well as whether their usage of ICT affects their acceptance of other LMS FSUU Learn features during the peak of pandemic. The results revealed that the actual usage is 67% while the behavioral intention to use the FSUU Learn is 56.8%. The variables used in the study were able to predict 62% of the variance that could explain the acceptance of the FSUU Learn based on the perception of the faculty/teacher users.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132833098","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

Improvement of Trajectory Errors on Remote- Controlled Differential Drive Robot via Mobilebased GUI through Bluetooth Connection 基于移动端蓝牙连接GUI的遥控差速驱动机器人轨迹误差改进

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087757

Ysabel Dominic Dimalanta, Benedict Ching, Luis Miguel Dalangin, A. Respicio, Marcus Alec Topacio, Ma. Madecheen S. Pangaliman, Sherwin John Dignadice, Kendall Adrian Felicilda, A. J. Bautista

{"title":"Improvement of Trajectory Errors on Remote- Controlled Differential Drive Robot via Mobilebased GUI through Bluetooth Connection","authors":"Ysabel Dominic Dimalanta, Benedict Ching, Luis Miguel Dalangin, A. Respicio, Marcus Alec Topacio, Ma. Madecheen S. Pangaliman, Sherwin John Dignadice, Kendall Adrian Felicilda, A. J. Bautista","doi":"10.1109/CSPA57446.2023.10087757","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087757","url":null,"abstract":"There has been an increase of interest and demand in the usage of logistic indoor service robots that are designed to minimize interactions between humans due to the occurrence of the COVID-19 outbreak. The application of the rising technology in the medical sector has great benefits in the industry, such as the prevention of the spread of highly infectious diseases using distance as a factor. Rooting from the purpose of the said robot, the main focus should be the ease of navigation through achieving the desired trajectory, in order to maximize the functionality, prevent collision, reduce user maneuvering difficulties, and such. Hence, this paper is focused on improving the trajectory errors on the robot navigation performance based on different control system designs specifically, a physical joystick controller and a mobile-based Bluetooth application controller. The design of the joystick is based on a pivot as its base which is directed to all angles and the design of the Bluetooth app is based on fourdirectional buttons that will operate upon clicking, and switching to other buttons to change commands. With this, the researchers conducted linear path and rotational tests using both remote control modes that are based on five varying speed values of 0.75 m/s, 0.5m/s, 0.35m/s, 0.25m/s, and 0.15 m/s. Based on the data analysis, the yielded results showed that using the Bluetooth app lowers the robot’s trajectory error by 50% to 60% compared to using ajoystick to navigate to the desired point. Thus, the researchers concluded that the design of a control system greatly affects the robot navigation in achieving the desired trajectory. Considering the nonsystematic errors, a calibration based on the hardware structure design specifically on the caster wheel is recommended.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133227033","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 of Learning Rate for Directed Acyclic Graph Network Performance on Dysgraphia Handwriting Classification 有向无环图网络对书写困难笔迹分类性能学习率的研究

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087858

S. A. Ramlan, I. Isa, M. K. Osman, A. P. Ismail, Z. H. C. Soh

{"title":"Investigation of Learning Rate for Directed Acyclic Graph Network Performance on Dysgraphia Handwriting Classification","authors":"S. A. Ramlan, I. Isa, M. K. Osman, A. P. Ismail, Z. H. C. Soh","doi":"10.1109/CSPA57446.2023.10087858","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087858","url":null,"abstract":"Intelligence-based detection techniques are significant for dysgraphia diagnosis in school children at an early age. The method involves analyzing the symptoms through handwriting images. Directed Acyclic Graph (DAG) network is one of the intelligence-based technique in handwriting identification. The layer of DAG construction differs from the standard sequential convolution network that exhibits successful image classification. Recently, limited research has been conducted to investigate the learning rate that could affect the DAG network performance in classifying handwriting images. The issue of inconsistent handwriting patterns among dysgraphia children solved by the standard sequential convolution network layer remains different from the DAG operation. Therefore, this study aims to investigate the DAG operations with four acyclic blocks, along with varying the learning rates that could impact the performance of dysgraphia handwriting classification based on synthetic letter images. Experimentally, an improved DAG network model was investigated on four variant values of learning rate; 0.1, 0.01, 0.001, and 0.0001. The performance was measured using a confusion matrix for predicting dysgraphia or non-dysgraphia handwriting. The results obtained the best training accuracy of 99.01% produced by the DAG model at 0. 01learning rate. The testing performance for dysgraphia handwriting classification dropped at the lowest learning rate.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117172600","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

The Effect of Ultrasonic Irradiation to Hematite Nanorod Arrays Properties for Humidity Sensor Applications 超声波辐照对湿度传感器中赤铁矿纳米棒阵列性能的影响

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087704

W. Ahmad, M. H. Mamat, A. Zoolfakar, Z. Khusaimi

{"title":"The Effect of Ultrasonic Irradiation to Hematite Nanorod Arrays Properties for Humidity Sensor Applications","authors":"W. Ahmad, M. H. Mamat, A. Zoolfakar, Z. Khusaimi","doi":"10.1109/CSPA57446.2023.10087704","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087704","url":null,"abstract":"In this study, the sonicated solution immersion technique was used to prepare hematite nanorod arrays that were deposited on a glass substrate coated with fluorine-tin oxide (FTO). The purpose of the study was to investigate how the ultrasonic irradiation effects over the course of 15, 45, and 60 minutes concerned the materials’ optical and structural properties. The grown hematite nanorod arrays were characterized using X-ray diffraction (XRD) for crystallinity identification, field emission scanning electron microscopy (FESEM) for surface morphology and cross-sectional, and ultraviolet-visible-near infrared (UV-vis-NIR) spectroscopy for optical properties investigation. XRD pattern revealed crystalline (rhombohedral) structure of $alpha-F mathrm{e}2mathrm{O}_{3}$ hematite, with no existence of other phases of oxides. The sample with 60 min sonication time has the most porous structure and least thickness of 313 nm. The optical results revealed that the transmittance % increase towards the infrared wavelength spectrum as the sonication time increases. The manipulation of the transmittance and absorption coefficient data has discovered the optical energy bandgap estimation at 2.14 eV for the sample with 15 min sonication, and the bandgap increases to 2.15 eV and 2.16 eV as the sonication time expanded. Urbach energy estimation has shown the minimal value for the sample sonicated for 45 and 60 min, indicating the minimum energy for the atoms to diffuse and occupy the hematite crystal lattice crystal, thus improving the crystallinity of the hematite films. The sensor measurement also verified that hematite nanorod array has a strong potential to be applied as humidity sensor based on its high sensitivity and stability.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126162933","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

Management of Raw Material Needs and Safety Stock Based on Data Forecast and System Dynamics Modeling 基于数据预测和系统动力学建模的原材料需求和安全库存管理

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087715

Thomson Richard, L. Gozali, F. Daywin

{"title":"Management of Raw Material Needs and Safety Stock Based on Data Forecast and System Dynamics Modeling","authors":"Thomson Richard, L. Gozali, F. Daywin","doi":"10.1109/CSPA57446.2023.10087715","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087715","url":null,"abstract":"For companies engaged in the manufacturing industry, procurement and inventory control are significant and play an important role in productivity within the company. The case study that occurred at XYZ Ltd. was the frequent occurrence of shortage of raw material stock in PVC resin which causes the production process of ceiling panels to stop. To eliminate this shortage of raw materials, material requirement planning and safety stock calculation need to be conducted. Therefore, the methodology of this research is by utilizing forecasting verification to find the best forecast method according to the demand data plot and the forecast result, and combining them with safety stock calculation and a variation of material requirement planning methods to determine the best material requirement planning method to obtain the optimal control, then a model could be created using a system dynamics approach to verify the improvements on the increased productivity and the income before tax by including the material requirement planning and safety stock calculations on the initial system. The result of this research is by using a variety of forecasting methods, the best method to forecast future demands is the additive decomposition method, by using the safety stock formula, the safety stock is obtained which is 2649.136 Kg of polyvinyl chloride resin, by using a variety of material requirement planning calculations methods, the best method is silver meal and least unit cost methods because these methods obtained the same result for a total cost of USD 164.07, and lastly, by using the suggested improvement on the system, the company will have an increase in the level of productivity by 67.906 (40%) and an increase in average income before tax by USD 32.480,52 (28 %).","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127047757","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

Dragonfly Algorithm Strategy Parameters Analysis on Swarm Robot Multi-Target Search Efficiency 群机器人多目标搜索效率的蜻蜓算法策略参数分析

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2023-03-03 DOI: 10.1109/CSPA57446.2023.10087728

M. Hamami, Z. Ismail

{"title":"Dragonfly Algorithm Strategy Parameters Analysis on Swarm Robot Multi-Target Search Efficiency","authors":"M. Hamami, Z. Ismail","doi":"10.1109/CSPA57446.2023.10087728","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087728","url":null,"abstract":"Dragonfly Algorithm (DA) is a Swarm Intelligence (SI) based optimization strategy. Since its development in 2016, DA has been widely utilized in many technology and engineering applications. Target searching by the swarm robots (SR) is one of the applications that take advantage of the DA strategy advancement. Multi-target search task is the latest inquiry in the target search problem domain whereby the objective is to search all available targets within the minimum time possible. To achieve this purpose, the DA parameters need to be optimized to ensure the search outcome is in the optimum and efficient condition. This article presented the DA parameters analysis within the scope of multi-target search problems based on the swarm robots. There is a total of six parameters included in this analysis which are inertia weight ($omega$), alignment weight (a), cohesion weight (c), separation weight (s), food attraction factor (f), and enemy distraction factor (e). The analysis results are presented in detail with a focus on the trends and effects of each parameter on the search efficiency outcomes with the least iteration (most efficient) recorded of 19.9 iterations. The results data can be benchmarks or references not only in the multi-target search problem but also in other research domains that are based on the DA strategy.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115170823","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