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

{"title":"Improvement of Image Resolution using the Deconvolution Technique in Phase Array","authors":"Geumbi Park, Jeongwon Seo, Minju Kim, J. Joo, J. Koh","doi":"10.1109/CSPA57446.2023.10087579","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087579","url":null,"abstract":"Radar is a sensor that monitors surrounding areas with electromagnetic waves, detects targets, and is vital equipment for military use. Recently, it has evolved into a form that can simultaneously search, track, and avoid external jamming signals with digital beam formation using a phased array radar. However, errors can occur if the side lobes do not receive accurate results or if the target is located too close. There is also a problem that the price is high. This paper reduces the module of an antenna and shows that its accuracy is similar to before reducing the number of modules. In addition, we analyze the received results from the target using convolution and deconvolution techniques and propose a method to improve image resolution. In this paper, the proposed technique proposes increasing target detection accuracy through simulation.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"97 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":"116571512","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}

{"title":"Utilization of Augmented Reality in Assisting Surgical Needle Insertion Guidance","authors":"Min-Hung Lo, Hao-Li Liu","doi":"10.1109/CSPA57446.2023.10087665","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087665","url":null,"abstract":"Surgical needle insertion is a standard and routine medical procedure in medical practice, such as abdominal radio frequency ablation (RFA) and needle biopsy. To guide the needle accurately inserted into the targeted deepseated position in the tissue following a designated trajectory, the clinicians majorly rely on real-time image feedback for needle trajectory visualization and prediction via ultrasonography and/ or optical camera feedback. However, during needle puncture guiding procedures, the needle trajectory may not always be accurately reported, leading to inconvenience or even post hazards to the procedure, with one major leading obstacles is the needle can only be tracked with a limited camera field-of-view. Here, we proposed a hybrid pose estimation augmented reality (AR) algorithm that allows simultaneous conduct of entire needle set tracking to broaden the detectable operation range of the needle insertion procedure. The algorithm not only can track the 3D pose of the needle handle (via marker tracking), but can also track the pose of the needle itself (via key points detection), therefore enlarging the trackable zone during the procedure. The detectable view is measured to have up to 3.13-fold field-of-view improvement, with an overall accuracy of 2.9pm 0.01 mm being achieved. The proposed algorithm provides an advancement in using CCDcamera as a tool to implement AR-based surgical guidance and should benefit the current surgical procedure such as the RFA or biopsy.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"62 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":"126510432","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}

{"title":"Semi-decoupled Tuning Gain PI Controller for Motor Speed Control Application","authors":"Chun Haw Lai, C. L. Hoo","doi":"10.1109/CSPA57446.2023.10087481","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087481","url":null,"abstract":"Proportional-integral-derivative (PID) controller has been the most adopted controller applied in various industrial control applications due to its simplicity and its ability to provide a desired control response. However, conventional PID controllers tend to suffer from an integral windup that can cause oscillations or overshoot in the system output, degrading the controller performance. Besides, it also experiences tuning difficulty for an optimum control performance due to its highly coupled tuning gains. This study proposed an anti-windup controller with a semi-decoupled tuning gains design. The implementation of the semi-decoupled tuning gains aims to ameliorate the dynamic performance of a PI controller. The performance of the proposed controller was compared with the conventional PI controller and the steadystate integral PI controller. The proposed controller showed a faster response with a minimal overshoot in the motor speed control hardware simulation under no-load and loading conditions.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"28 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":"114234249","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}

{"title":"Refractive Index Measurement Based on Fibre Optics with Multiparameter Sensing Capabilities","authors":"Paul Cornelius Bong, Alfred Jia Yee Tan, H. Chua","doi":"10.1109/CSPA57446.2023.10087706","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087706","url":null,"abstract":"Quality control and assurance plays a core in chemical, agrifood, F & B and pharmaceutical industries due to quality regulations. Refractometry plays an indispensable part in determining the composition or purity of a sample and conventional solutions can be intrusive and very expensive. In this paper we aim to determine the Refractive Index (RI) sensing and multiparameter sensing capabilities of a triple U-shaped side + center polished macrobent fibre optic sensor prototype. This prototype was tested on controlled glycerol samples ranging from (1.34-1.39) Refractive Index Unit (RIU) and showed a linear trend in RI sensing. It boasts an average percentage error of 0.1318% in refractive index measurements when subjected to 12 randomly prepared test data within the range of(1.33 to 1.40) RIU. Individually, the percentage error is higher for each probe but did not exceed 0.4% when used in tandem. This proves improved performance when using multiple probes with different configurations. The sensor was also able to extrapolate further for 1. 40RIU which was not within the range of the training data thus it is highly scalable. Its temperature sensing (30°C to 45°C) capabilities was also tested. Despite the great performance in RI sensing, the center polished probe was found unsuitable. The 500$mu$m diagonal polished probe showed great sensitivity and linearity while the 300$mu$m diagonal polished probe showed low sensitivity and high linearity, thus allowing the system to determine the RIU of the solution at room temperature. This project shows great promise in the field of multiparameter RI sensing.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"311 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":"122733925","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}

{"title":"Critical Success Factors of Operational Excellence in Software Quality Assurance: Best Practices for Integrated Change Control Management","authors":"W. Wong, T. Sam, C. Too, A. Khin","doi":"10.1109/CSPA57446.2023.10087552","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087552","url":null,"abstract":"Integrated Change Control Management(ICCM) is a crucial phenomenon in the IT and Software Development industry. Through ICCM, project managers can avoid all unnecessary changes that disrupt the project execution and implementation; which further contribute to project delay, cost overrun, endless rework and facing the prolonged acceptance of User Acceptance Test (UAT). However, it is common that many project managers place much emphasis of time and effort in producing a detailed and comprehensive software quality assurance plan (SQAP) as part of ICCM adoption and implementation; neglecting and overlooking other important factors which indeed contribute to successful implementation of operation excellence. As a result, understanding the critical success factors (CRFs) allows the project managers to drive best practices to work routines; indirectly encouraging and enforcing project team members to understand and commit to the assigned task effectively. This paper aims to outline the critical success factors of operational excellence of ICCM in the context of the IT industry to exceed customer expectations through best practices in improving project mindset, processes and culture. In nutshell, every team member will understand the ‘‘flow of values’’ to the customers; fostering a competitive advantage within the industry in the long term.(Abstract)","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"53 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":"126887355","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}

{"title":"Automatic Detection of Asynchrony Levels of Mechanically Ventilated Patients","authors":"N. S. Damanhuri, Intan Ku Nurathirah Abu Bakar, Nur Sa’Adah Muhamad Sauki, N. A. Othman, Y. Chiew, Belinda Chong Chiew Meng","doi":"10.1109/CSPA57446.2023.10087410","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087410","url":null,"abstract":"A patient with breathing failure or Acute Respiratory Distress Syndrome (ARDS) needs a mechanical ventilator (MV) as a breathing support. However, some patients may produce spontaneous breathing (SB) which results in producing asynchrony events (AEs) even though they are fully sedated. The AEs is referring to the mismatch between the patient’s mechanical ventilator and the patient’s respiratory system and may worsen the patient’s condition. Hence, this will lead to the inaccurate measurement of lung conditions in MV patients. Furthermore, the negative elastance is another metric that can occur during mechanical ventilation when the patient’s inspiratory demand is less than zero. Thus, this study aims to calculate the asynchrony events (AEs) with negative elastance in mechanically ventilated patients and develop the graphical user interface (GUI) for automated detection of asynchrony levels that potentially helps clinicians in monitoring the AEs in MV patients. Data on the patients is obtained from the International Islamic University Malaysia (IIUM) Hospital with a total number of 9 patients. The asynchrony events (AEs) with negative elastance are measured based on ± 50% of the median (AUC) over each breathing cycle of a given patient and the negative elastance is obtained based on AUC Edrs that is less than 0. Then, the asynchrony index (AI) is calculated to indicate the asynchrony level of each patient. The result shows the AI that includes the negative elastance produced higher values with 13.02 [1.40 -- 17.74] than the AI without negative elastance with 10.32 [1.22 -- 17.28] for all 9 MV patients. Thus, the estimation of the asynchrony level that includes the negative elastance is more accurate and can help the clinician for better MV management. This automated system of the GUI enables the detection of the AEs with negative elastance by displaying all the information of AI, MV mode, AEs, and negative elastance automatically which potentially help the clinician in optimizing the management setting of MV.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"14 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":"121108990","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}

{"title":"Smart Data for Sustainable Halal Supply Chain in Kuala Lumpur: A Proposal","authors":"Nina Naquiah Ahmad Nizar, Siti Aimi Sarah Zainal Abidin, M. Taib","doi":"10.1109/CSPA57446.2023.10087506","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087506","url":null,"abstract":"Malaysia’s capital, Kuala Lumpur, has long served as the nation’s commercial centre. It is in the centre of the nation’s extensive network of transportation networks, and its population, transportation infrastructure, and activity dynamism are all expanding massively. Supply chain in a big city poses ample opportunities to capture and utilize associated smart data that can be used to enhance and improve efficiency, transparency and sustainability. Better monitoring and assurance of compliance with various standards and sustainability of the supply chain, including halal requirements can be done with introduction of new technologies that use smart data, such as the blockchain, Internet of Things (IoT), Artificial Intelligence (AI) and others. This paper explores the possibilities of smart data for a sustainable halal supply chain in Kuala Lumpur.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"17 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":"132149965","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}

{"title":"Forecasting Harvest Yield with IoT-enabled Sensor Data of Malaysia Weather Conditions using Multiple Linear Regressions","authors":"Yue Hern Tan, Hui Na Chua, Muhammed Basheer Jasser","doi":"10.1109/CSPA57446.2023.10087656","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087656","url":null,"abstract":"Harvest yields are influenced by weather conditions due to climate change. Our literature studies showed that only a few studies examined tropical climates and harvest yield forecasts. Therefore, sixteen-month real-world tropical outdoor climate data from IoT-enabled sensors were investigated to build predictive harvest yield models. This preliminary study aims to discover if weather conditions, such as water temperature, acidity, radiation, air temperature, pH, light intensity, and air humidity, show a statistically significant impact in estimating the harvest yield. In the modelling process, Multiple Linear Regression modelling techniques were used to build and compare the models. The models’ performance was evaluated according to the adjusted $mathrm{R}^{2}$ and Root Mean Square Error (RMSE) measurements. It is found that water temperature and electricity conductivity significantly influenced different plant varieties’ yield in weight, contributing to 13% (i.e., adjusted R-square) of the variance of the harvest yield forecast, indicating the magnitude of characteristics that can explain the harvest yield. Furthermore, the Regression models showed that electricity conductivity has a statistically negative impact, whereas water temperature positively affects the yields. Our future work will use more data and different machinelearning algorithms to improve the model’s predictive power.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"39 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":"134437985","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}

{"title":"Analysis and Monitoring Energy Consumption in Basic Electric Bills","authors":"A. A. Aziz, Syahmi Al Hadi Bin Amirrudin, L. Raya","doi":"10.1109/CSPA57446.2023.10087759","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087759","url":null,"abstract":"The energy consumption of electrical household appliances is strongly influenced by the behavior of the people who live there. The ignorance of using the electrical appliances led to an increase in electricity bills every month. In order to achieve savings, a technology for monitoring electrical energy consumption is needed. This paper proposes a system designed for monitoring the power consumption of appliances in the home and sending the value to the Blynk application. This system uses an Esp32 board, a current sensor (SCT-013), a voltage sensor (ZMPT101B) and an LCD. The value detected by the sensor is sent to the LCD and Blynk to display current, voltage, power, and kWh. This allows users to monitor power consumption through the Blynk application on their smartphone and calculate power consumption on a daily or monthly basis.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"10 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":"133274355","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}

{"title":"Effect of Climate Change using Predictive Models with Remote Sensing Data","authors":"M. S. Bhumika, Niyam Momaya, R. Nandan, K. Suhas, Shikha Tripathi","doi":"10.1109/CSPA57446.2023.10087637","DOIUrl":"https://doi.org/10.1109/CSPA57446.2023.10087637","url":null,"abstract":"Human-induced climate change is causing unpredictable changes around the world to global economies and people’s way of living. We present a study undertaken on the prediction of three parameters that quantify climatic change, namely Land Surface Temperature, Carbon Monoxide, and Precipitation. Since the three parameters are essentially non stationary in nature, the differencing method has been looked at to fine-tune the output of the prediction models. The two seasonal autoregressive models chosen for the study are Seasonal Auto Regressive Integrated Moving Average (SARIMA) and TBATS, due to non-stationarity of the data. The focus is to predict climate change using predictive models for Indian sub-continent. Region-wise dataset was extracted from Google earth engine using a reducer function. A comparison of the forecasting models using root mean square error and mean absolute scaled error suggests that SARIMA performs better in the case of Land Surface Temperature and Precipitation whereas TBATS performs better for Carbon Monoxide Concentration.","PeriodicalId":268233,"journal":{"name":"2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"21 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":"124916087","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}