2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)最新文献_第2页

Nonlinear Time-Frequency Analysis of Lightning Strike Surge Current Waveforms Recorded at Gasing Hill, Kuala Lumpur 吉隆坡加辛山记录的雷击浪涌电流波形的非线性时频分析

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782060

F. Ishiyama, M. Maruyama

引用次数: 1

A Hardware-in-the-Loop Approach for the Design of Analog Filter Structures for Weighing Systems 称重系统模拟滤波器结构设计的一种硬件在环方法

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781832

Anton Schumacher, Antonius Schmidt, Dominik Aufderheide

引用次数: 0

Software Quality Assurance Plan: Setting Quality Assurance Checkpoints within the Project Life Cycle and System Development Life Cycle 软件质量保证计划:在项目生命周期和系统开发生命周期内设置质量保证检查点

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782044

W. Wong, Toong Hai Sam, C. Too, Wei Fong Pok

{"title":"Software Quality Assurance Plan: Setting Quality Assurance Checkpoints within the Project Life Cycle and System Development Life Cycle","authors":"W. Wong, Toong Hai Sam, C. Too, Wei Fong Pok","doi":"10.1109/CSPA55076.2022.9782044","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782044","url":null,"abstract":"Software Quality Assurance Plan (SQAP) is an effort driven activity which consists a set of documentation of procedures, workflows, techniques and tools relevant to the adopted software process improvement (SPI) methodology. It requires collective effort from the project team ensuring customer requirements are met, contract fulfilment and Service-Level-Agreement compliance. Most importantly, the SQAP will be used as the quality manual (QM) by the organisation to improve business’s operations, protect its reputation, accelerate change and meet customer needs. Any mis-conduct of SQAP will weaken customer relationship, damage in brand and reputation, major increased in both operational and financial costs; which further jeopardize the organization’s competitiveness and confidence level in the IT industry. As such, setting vital and critical checkpoints throughout different phases of project life cycle (PLC) and system development life cycle (SDLC) indeed is a crucial factor to successful implementation of SQAP. However, there are times a project manager and/or software quality assurance managers only place emphasis on the development scope of works but overlooked overall activities in the entire project life cycle. As a result, the setting of checkpoints in the SQAP has neglected to benchmark against the adopted standards resulting more than a set of SQAP within the organization. This has created unnecessary stress and burden to the project team when everyone is striving to implement all procedures and processes correctly within the constraint of allocated duration and timeline. This paper aims to outline a set of checkpoints throughout the PLC and SDLC to provide assistance and benchmarking for the IT industry implementing software project management as formal software process initiatives within the organization.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"60 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":"132803388","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

Wiper Arm Defect Detection Using Laplacian Pyramids and Genetic Algorithm 基于拉普拉斯金字塔和遗传算法的雨刷臂缺陷检测

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782024

Wei Xian Ler, Lee Choo Tay, Kam Meng Goh

引用次数: 0

Segmentation and Classification for Breast Cancer Ultrasound Images Using Deep Learning Techniques: A Review 基于深度学习技术的乳腺癌超声图像分割与分类研究综述

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781824

A. Jahwar, Adnan Mohsin Abdulazeez

{"title":"Segmentation and Classification for Breast Cancer Ultrasound Images Using Deep Learning Techniques: A Review","authors":"A. Jahwar, Adnan Mohsin Abdulazeez","doi":"10.1109/CSPA55076.2022.9781824","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781824","url":null,"abstract":"Deep Learning (DL) has rapidly become a methodology of choice for analyzing medical images and increasingly attracts researchers’ attention in the medical research community. Breast cancer is a common disease among women throughout the world. The medical images and especially Breast Ultrasound (BUS) images are of poor quality, low contrast, and ambiguous. To avoid misdiagnosis, a Computer-Aided Diagnosis (CAD) system has been created for the diagnosis of breast cancer. This study discusses a variety of ultrasonic image segmentation approaches, with an emphasis on several methods developed in the recent four years. As a result, breast ultrasound image segmentation remains a difficult and demanding problem because of several ultrasound aberrations, including strong speckle noise, preprocessing, classification, feature extraction, and segmentation technique to find the accuracy. Lastly, this study outlines the current trends and issues in breast ultrasound images diagnosis, segmentation, and classifications. This review may be useful for both clinicians and researchers who utilize CAD systems for early breast cancer detection.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"41 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":"114669277","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: 6

Design and Development of Smart Umbrella Based on Iot Technology 基于物联网技术的智能雨伞设计与开发

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782035

K. Jayamani, Omar Ismael Al-Sanjary, M. N. Mohammed, J. Alneamy

引用次数: 3

Multi-Secret Image Sharing Scheme by Boolean Operations 基于布尔运算的多秘密图像共享方案

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781860

Chien-Chang Chen, Cheng-Shian Lin, Jia-Zhan Chen

引用次数: 0

A Study on ANN Performance Towards Three Significant Compounds of High Quality Agarwood Oil 人工神经网络对优质沉香油三种重要化合物的性能研究

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782017

N. Z. Mahabob, Aqib Fawwaz Mohd Amidon, N. Ismail, Siti Mariatul Hazwa Mohd Huzir, Z. Mohd Yusoff, M. Taib, Saiful Nizam Tajuddin, Norazah Mohd Ali

{"title":"A Study on ANN Performance Towards Three Significant Compounds of High Quality Agarwood Oil","authors":"N. Z. Mahabob, Aqib Fawwaz Mohd Amidon, N. Ismail, Siti Mariatul Hazwa Mohd Huzir, Z. Mohd Yusoff, M. Taib, Saiful Nizam Tajuddin, Norazah Mohd Ali","doi":"10.1109/CSPA55076.2022.9782017","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782017","url":null,"abstract":"This study demonstrated the application and the performance of the artificial neural network (ANN) as classification tool for luxury oil which is agarwood essential oil. For the scope of this research, the compounds of agarwood essential oil were obtained from FRIM and BARCE (UMP). The 103 compounds data is pre-processed through a pre-processing technique known as principal component analysis (PCA) and Pearson’s correlation. It was found that three compounds were significant and they were high quality; β-agarofuran, α-agarofuran, and 10-epi-ϒ-eudesmol. The significant compounds were continued to be fed into ANN as input data meanwhile the output data categorized as low and high quality of the agarwood essential oil. The Scaled Conjugate Gradient (SCG) was employed as the default classifier algorithm during network training. Three layers of ANN architecture were used and 1 to 10 hidden neurons were varied in a hidden layer. The performance of the ANN was measured using the mean squared error (MSE), epochs and their execution time and the confusion matrix. The work was performed using Matlab R2017a. The finding shows that SCG-ANN successfully classified agarwood essential oil with the best performance at 3 hidden neurons. This research is significant for future work, especially on the classification of the agarwood essential oil field.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"5 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":"132505062","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

Developing a Wearable Automatic Air Conditioning Control System Based on Thermal Comfort 基于热舒适的可穿戴式自动空调控制系统的研制

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9782031

Ian Joel J. Galarretta, Engr. Joseph Bryan Ibarra, Raiza Marie A. Fronda

{"title":"Developing a Wearable Automatic Air Conditioning Control System Based on Thermal Comfort","authors":"Ian Joel J. Galarretta, Engr. Joseph Bryan Ibarra, Raiza Marie A. Fronda","doi":"10.1109/CSPA55076.2022.9782031","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9782031","url":null,"abstract":"For the user’s convenience and comfort, the study offers a wireless body temperature monitoring device that is wearable and portable. Technotemp wrist a/c controller is considered to be the name of the system. When the user’s body temperature falls within a temperature range, the device automatically changes the Air conditioning temperature. This study shows that the involvement of clothing insulation can have a greater impact on body temperature. Also, raising the intensity of an individual’s activity level will further increase their body temperature over time. This study will determine the appropriate A/C thermostat with the body temperature by using the CBE (Center for the Built Environment) Thermal Comfort tool. It will calculate thermal comfort according to EN-16798 Standard, thermal comfort, Predicted Mean Vote (PMV) and Predicted Percentage of Dissatisfied (PPD). Besides clothing insulation and metabolic rate (MET), the needed inputs with this tool are air velocity, relative humidity, mean radiant temperature, and air temperature. Among the 30 test subjects, it was found that the thermal comfort body temperature of the user ranges between 35.01-36.03°C. For the system’s accuracy and efficacy, it will be measured by using subjective and objective methods with a new set of 15 test subjects. For the subjective method, users will be asked every 3 minutes to assess their thermal environment in terms of thermal sensation. The objective method will be measured through their stress levels using the Huawei GT2e smartwatch. It was observed that these methods gained an accuracy of 96.67%. The system’s effectiveness will be evaluated by comparing our proposed automatic controller setup with the traditional way controller. It was found that the automatic controller is faster to reach thermal comfort for about 37-37.2 minutes while 48.2-49 minutes for the traditional setup, having an effectiveness rate of 93.33%.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"21 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":"131625614","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

Digital Phase-Frequency Detector in All-Digital PLL-based Local Oscillator for Radio Frequency Identification System Transceiver 射频识别系统收发器全数字锁相环本振中的数字相频检测器

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA) Pub Date : 2022-05-12 DOI: 10.1109/CSPA55076.2022.9781829

Syaza Norfilsha Ishak, J. Sampe, F. H. Hashim, Mohammad Faseehuddin

{"title":"Digital Phase-Frequency Detector in All-Digital PLL-based Local Oscillator for Radio Frequency Identification System Transceiver","authors":"Syaza Norfilsha Ishak, J. Sampe, F. H. Hashim, Mohammad Faseehuddin","doi":"10.1109/CSPA55076.2022.9781829","DOIUrl":"https://doi.org/10.1109/CSPA55076.2022.9781829","url":null,"abstract":"An all-digital phase locked loop (A-DPLL)-based frequency synthesizer of the local oscillator (LO) for the radio frequency (RF) transceiver application such as in radio frequency identification (RFID) system has gained popularity among academia due to the transition of circuit technology from analog to digital implementation by accessing the benefits in complementary metal-oxide semiconductor (CMOS) process technology. The phase-frequency detector (PFD) is one of the main blocks in ADPLL and it is capable to detect the presence of phase and frequency errors by recognizing two input signals in digital form. The full-ranged of a time-to-digital converter (TDC) is commonly used in PFD block, but the power consumption is high. In this work, the less-TDC will be designed in the digital PFD block as an early development stage design for the ultra-low power ADPLL in order to improve fast phase-frequency acquisition and reduce power consumption. The digital PFD is designed by using Matlab Simulink and Verilog Hardware Description Language (HDL) code. The simulation result obtained that the time difference of the input signals for the Verilog is smaller than the result in Matlab Simulink without a unit delay. Thus, the design of the digital PFD will lead the desired ADPLL to achieve ultra-low power and fast locking range for RFID application.","PeriodicalId":174315,"journal":{"name":"2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)","volume":"23 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131672946","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