2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)最新文献_第3页

Non-Invasive Blood Pressure and Heart Rate Sensing Using Photoplethysmogram Sensor 利用光电容积描记传感器进行无创血压和心率传感

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377302

Nur Intan Fathehah Mohd Lahil, F. Wong, A. Chekima, S. Abang, Normah Awang Besar, A. Kiring, Yew Hoe Tung, C. S. Kheau, J. Dargham

引用次数: 1

Automatic Test Case Generation for Prime Field Elliptic Curve Cryptographic Circuits 素域椭圆曲线密码电路的自动测试用例生成

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377300

Krishn Kumar Gupt, Meghana Kshirsagar, Joseph P. Sullivan, C. Ryan

{"title":"Automatic Test Case Generation for Prime Field Elliptic Curve Cryptographic Circuits","authors":"Krishn Kumar Gupt, Meghana Kshirsagar, Joseph P. Sullivan, C. Ryan","doi":"10.1109/CSPA52141.2021.9377300","DOIUrl":"https://doi.org/10.1109/CSPA52141.2021.9377300","url":null,"abstract":"Elliptic curve is a major area of research due to its application in elliptic curve cryptography. Due to their small key sizes, they offer the twofold advantage of reduced storage and transmission requirements. This also results in faster execution times. The authors propose an architecture to automatically generate test cases, for verification of elliptic curve operational circuits, based on user-defined prime field and the parameters used in the circuit to be tested. The ECC test case generations are based on the Galois field arithmetic operations which were the subject of previous work by the authors. One of the strengths of elliptic curve mathematics is its simplicity, which involves just three points (P, Q, and R), which pass through a line on the curve. The test cases generate points for a user-defined prime field which sequentially selects the input vector points (P and/or Q), to calculate the resultant output vector (R) easily. The testbench proposed here targets field programmable gate array (FPGAs) platforms and experimental results for ECC test case generation on different prime fields are presented, while ModelSim is used to validate the correctness of the ECC operations.","PeriodicalId":194655,"journal":{"name":"2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126738132","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

Sizing Optimization of Whale Optimization Algorithm for Hybrid Stand-Alone Photovoltaic System 混合单机光伏系统鲸鱼优化算法的尺寸优化

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377279

Mohamad Faridzal Mohamad Bakri, Z. Othman, S. Sulaiman, Noor Hasliza Abdul Rahman

引用次数: 0

Flood Risk Visualization and Prediction Information System: Case of City Manila, Philippines 洪水风险可视化与预测信息系统:以菲律宾马尼拉市为例

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377276

Lory Jean L. Canillo, A. Hernandez

引用次数: 1

A Comparison Between Local and Global Models Among Different Near Infrared Spectroscopy Instruments for Corn Oils Prediction 不同近红外仪器对玉米油局部和全局预测模式的比较

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377295

Xien Yin Yap, K. Chia

{"title":"A Comparison Between Local and Global Models Among Different Near Infrared Spectroscopy Instruments for Corn Oils Prediction","authors":"Xien Yin Yap, K. Chia","doi":"10.1109/CSPA52141.2021.9377295","DOIUrl":"https://doi.org/10.1109/CSPA52141.2021.9377295","url":null,"abstract":"Near infrared (NIR) sensing technology has been widely implemented in various areas due to its noninvasive, green, and rapid measurement features. Artificial Neural Network (ANN) was used for the NIR calibration model. ANN can provide a reliable local calibration model using local data. However, a reliable local calibration model could be invalid or degraded when it is directly used for other instruments. This is because the instrumental variation causes the Local model's performance invalid. The instrumental variation is the difference among the spectra acquired by different instruments. The Global model identified the instrumental variation due to the Global model was developed with the calibration dataset acquired from two or more instruments. Thus, this study aims to compare the Local and Global models' performance among different NIR spectroscopy instruments in corn oil prediction. First, principle component analysis (PCA) was used to compress the NIR spectra. After that, Bayesian (BR) learning algorithm was applied to train an ANN with different initial conditions and hidden neurons to identify an optimal ANN for the primary instrument. The procedure of Global model development was similar to the Local model. The difference between Local and Global models is the global model used two or more calibration datasets to develop the model. Findings show that Global model was the best with the lowest root mean square error of prediction (RMSEP) of 0.1630%, followed by Local model of 0.4074% and 0.4330% for mp5 and mp6 as calibration datasets, respectively and the best correlation coefficient of 0.7514, 0.6532, and 0.7297, respectively, tested with m5 testing dataset in corn oils prediction applications. The same performance was found when the testing dataset were mp5 and mp6.","PeriodicalId":194655,"journal":{"name":"2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133263501","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

Optimum Illumination for Real-time Wiper Arm Defect Detection 实时雨刷臂缺陷检测的最佳照明

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377293

Kai Yuen Cheah, Sze Liu Gan, Lee Choo Tay, W. Lai

引用次数: 1

Automated Quantification and Simulation of Hippocampal Images Treated with Kainic Acid from Rat Brain Slices Kainic酸处理大鼠脑片海马图像的自动量化与模拟

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377306

H. Alzahrani, F. Reza, T. Begum, A. Yajid, N. Shafin, Mohd Harizal Senik Nawi

引用次数: 0

Mitigation of Harmonic Distortion for Grid Connected PV Solar Using MPPT Controller 基于MPPT控制器的并网光伏系统谐波畸变抑制

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377301

M. Tofigh, N. F. Zainuddin, Ahmad Fadillah Hasbi

引用次数: 1

Performance of Classification Models in Japanese Quail Egg Sexing 分类模型在日本鹌鹑蛋性别鉴定中的性能

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377275

Jesusimo Lacanilao Dioses Jr, Ruji P. Medina, Arnel C. Fajardo, Alexander A. Hernandez

{"title":"Performance of Classification Models in Japanese Quail Egg Sexing","authors":"Jesusimo Lacanilao Dioses Jr, Ruji P. Medina, Arnel C. Fajardo, Alexander A. Hernandez","doi":"10.1109/CSPA52141.2021.9377275","DOIUrl":"https://doi.org/10.1109/CSPA52141.2021.9377275","url":null,"abstract":"The method of identifying the gender of an avian egg before hatching, egg sexing, has been one of the interesting fields of research in poultry and egg industries to improve its production with reduced costs. Researchers started to study and suggested various scientific methods to determine the sex of avian eggs like chicken and duck. The study proposed the extraction of seven (7) Japanese quail egg morphology features using image processing techniques and edge detection models. Kernel Naïve Bayes, Logistic Regression, and Quadratic SVM models tested and validated Japanese quail eggs' extracted morphology data to classify their sexes. Confusion matrices were used to determine the male, female and average sex classification accuracy rate of each model. Results show that two (2) morphology features of the Japanese quail egg, such as eccentricity and shape index, can be used as significant factors in classifying its sexes. Gaussian Naïve Bayes model is the best classifier to test and validate the morphology characteristics and data of Japanese quail eggs. It has a classification rate of 85.14% for males, 80.16% for females, and an average of 82.88% for both sexes.","PeriodicalId":194655,"journal":{"name":"2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128337020","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

An Innovative Anomaly Driving Detection Strategy for Adaptive FCW of CNN Approach 一种创新的CNN自适应FCW异常驱动检测策略

2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA) Pub Date : 2021-03-05 DOI: 10.1109/CSPA52141.2021.9377289

Raja Mariatul Qibtiah, Z. M. Zin, M. F. A. Hassan, Siti Salwa Md Noor

{"title":"An Innovative Anomaly Driving Detection Strategy for Adaptive FCW of CNN Approach","authors":"Raja Mariatul Qibtiah, Z. M. Zin, M. F. A. Hassan, Siti Salwa Md Noor","doi":"10.1109/CSPA52141.2021.9377289","DOIUrl":"https://doi.org/10.1109/CSPA52141.2021.9377289","url":null,"abstract":"As a road safety issue, research on driver distraction is still in its infancy. Although people talk about distraction as if they know what it means, it is poorly defined. Less is known about the patterns of driver exposure to the various sources of distraction that exist or the impact of these on driver performance, either individually or in combination. Thus, there are many sectors from the community with a vested interest in preventing and mitigating the potential effects of distracted driving. To assist analysts with developing the required advances around this field, this article gives an extensive writing study of work tending to the issue of human characteristics acknowledgment in a driving environment. A considerable amount of literature has been published on this topic. These studies efficiently survey the writing back to 2000s and recognized more than 40 peer review articles in this field. The review for each approach and procedure is to quantify and perceive characteristics with regards to driving behavior. Over the writing, discovery on solid inclination toward encouraging states related with abnormal behavior and drastic action while checking the various states of taxonomy for unsafe driver. Human body movement while in fatigue or distraction condition and utilizing supervised artificial intelligence to systematically surmise the underlying human affective. For instance, visual face features as a signal for driver assistance system. Overall, these articles highlighted the beneficial effects of the current work along with publicly available resources such as datasets and tools to enable new scholars to begin in this field. Besides, it also discerns new research potential to assist in the advancement and improvement of driving systems.","PeriodicalId":194655,"journal":{"name":"2021 IEEE 17th International Colloquium on Signal Processing & Its Applications (CSPA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132573422","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