2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)最新文献_第7页

Application of Artificial Intelligence in Adaptive Face Recognition System 人工智能在自适应人脸识别系统中的应用

2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) Pub Date : 2021-11-06 DOI: 10.1109/ICSET53708.2021.9612439

Rhose Anne C. Garcia, Raymond Paolo Lacayanga, F. Cruz

引用次数: 1

An Efficient Robust Color Watermarking Algorithm Based on DWT, DCT, BFO and Implementation 基于DWT、DCT、BFO的高效鲁棒彩色水印算法及其实现

2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) Pub Date : 2021-11-06 DOI: 10.1109/ICSET53708.2021.9612547

Omer Mohammed Salih Hassan, A. Abdulazeez, Arman Ismael Mohammed, S. Salih, Sarbast Husien Alih, F. Y. Ahmed, D. Zeebaree

{"title":"An Efficient Robust Color Watermarking Algorithm Based on DWT, DCT, BFO and Implementation","authors":"Omer Mohammed Salih Hassan, A. Abdulazeez, Arman Ismael Mohammed, S. Salih, Sarbast Husien Alih, F. Y. Ahmed, D. Zeebaree","doi":"10.1109/ICSET53708.2021.9612547","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612547","url":null,"abstract":"Digital watermarking is getting more research and industry attention. Digital multimedia data allows for robust and simple data editing and modification. However, the spread of digital media presents concerns for digital content owners. It is important to note that digital data can be copied without quality or content loss. This has a considerable impact on copyright holders' ability to safeguard their intellectual property rights. The method of transmitting information by imperceptibly embedding it into digital media is digital watermarking. There are various methods in literature, such as DWT and DCT, which take full energy, are seen and integrated. New strategies and procedures for optimization are required. The present study proposes a novel design and computation technique based on the discrete wavelet and discrete cosine transforms. Watermarking techniques have been progressing to shield media content such as text, audio, video, etc. From copyright. The proposed hybrid DWT-DCT Bacterial Foraging Optimization (BFO) technique improves the efficiency of watermarking digital images by 97%. Bacterial foraging optimization (BFO) is an innovative technique for intelligent optimization. It is a widely used optimization algorithm in a wide variety of applications. However, when compared to other optimizers, the BFO performs poorly in terms of convergence. This technique uses a high-frequency image region. A variety of techniques are compared with the (NCC) Normalized Cross Correlations, (PSNR) Peak Noise Signal Ratio and IF (Image Fidelity). The highest performance is seen in DWT-DCT-BFO watermarking.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"515 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132525630","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

Development of a Non-contact Cough Recognition System with Face Mask Detection and Distance Assistance using Convolutional Neural Networks 基于卷积神经网络的口罩检测和距离辅助非接触式咳嗽识别系统的开发

2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) Pub Date : 2021-11-06 DOI: 10.1109/ICSET53708.2021.9612535

J. Garcia, Darwyn James C. Goling, Jennifer C. Dela Cruz

{"title":"Development of a Non-contact Cough Recognition System with Face Mask Detection and Distance Assistance using Convolutional Neural Networks","authors":"J. Garcia, Darwyn James C. Goling, Jennifer C. Dela Cruz","doi":"10.1109/ICSET53708.2021.9612535","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612535","url":null,"abstract":"During times of outbreak such as the current COVID-19 pandemic, it is always important to follow the health protocols to wear a face mask and practice social distancing to prevent the transmission of bacteria and viruses. One of the solutions to this issue would be developing a noncontact recognition system that functions as a preventive measure that detects early symptoms of illness like coughing to avoid spreading it. This study simulates an area that will monitor compliance to proper health protocols and detect coughing as one of the signs of the illness through a camera which adopt the function of CCTV. Audio localization algorithm was used to detect and map the sound of the cough. The classification was done using Convolutional Neural Network (CNN) for people wearing a mask at a proper distance and detecting the cough's sound. This kind of recognition device captures instances of crime or any disturbances and helps determine people who violate the protocol of the health organization. Moreover, the device has three kinds of detection: (1) cough detection using a microphone array with Mel-Frequency Coefficients Cepstrum (MFCC); (2) and (3) uses a trained CNN to detect face mask and distance detection. The combined system successfully detects and maps the location of the cough sound signal, sees face mask, and measures social distance with an accuracy of 82%, 86.67%, and 73.33%, respectively. The experiments were considered to be dependent on the camera angle and the best distance for optimum accuracy is 1m to 1.5m.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285931","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

Application Of Terrestrial Laser Scanner For Three Dimensional (3D) As-Built Indoor Civil Engineering Department UPNM Laboratory 地面激光扫描仪在室内三维(3D)竣工土木工程系UPNM实验室中的应用

2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) Pub Date : 2021-11-06 DOI: 10.1109/ICSET53708.2021.9612566

Faris Murshidi, W. M. Syafuan, A. Rahman, Neza Ismail, Rospi Mat Husin, SAIFUL AMAN Bin HJ SULAIMAN

{"title":"Application Of Terrestrial Laser Scanner For Three Dimensional (3D) As-Built Indoor Civil Engineering Department UPNM Laboratory","authors":"Faris Murshidi, W. M. Syafuan, A. Rahman, Neza Ismail, Rospi Mat Husin, SAIFUL AMAN Bin HJ SULAIMAN","doi":"10.1109/ICSET53708.2021.9612566","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612566","url":null,"abstract":"Geomatics surveying in civil engineering course plays a vital role in initiating and starts a construction project. However, it consumes and takes more time to be done using a conventional method such as tacheometry. Nowadays, Terrestrial Laser Scanner (TLS) is introduced in surveying courses to assist surveyors in doing their works effectively. The first objective of this study is to develop a 3-dimensional drawing of civil engineering laboratory at Universiti Pertahanan Nasional Malaysia (UPNM) using TLS. The next objective of this study is to compare the accuracy of as-built drawing and actual data using a distometer. The TLS collects the point cloud data. TLS was set up at several locations in the laboratory. The point cloud data is processed by the Cyclone Register 360 and Revit 2020 software using a high-end performance laptop. The output of this study is a 3D as-built drawing of the laboratory. Lastly, the 3D as-built drawing measurement will be compared with the actual data derived by the distometer.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128122884","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

Smart Air Filtration System Using IoT and Kalman Filter Algorithm for Indoor Air Quality and Plant Monitoring 使用物联网和卡尔曼滤波算法的智能空气过滤系统，用于室内空气质量和工厂监测

2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) Pub Date : 2021-11-06 DOI: 10.1109/ICSET53708.2021.9612560

Micah Gabriel A. Mapili, Kathleen Anne D. Rodriguez, Julius T. Sese

{"title":"Smart Air Filtration System Using IoT and Kalman Filter Algorithm for Indoor Air Quality and Plant Monitoring","authors":"Micah Gabriel A. Mapili, Kathleen Anne D. Rodriguez, Julius T. Sese","doi":"10.1109/ICSET53708.2021.9612560","DOIUrl":"https://doi.org/10.1109/ICSET53708.2021.9612560","url":null,"abstract":"Indoor air pollution is a common concern that has been causing discomfort and respiratory-related illnesses. While air filtering devices effectively solve the problem, these have high maintenance and energy consumption. As an alternative, people resort to house plants as air filters. However, it is a misconception that plants can effectively filter air pollutants in small rooms. Understanding the National Aeronautics and Space Administration (NASA) Clean Air Study, this paper proposed a sustainable system capable of filtering indoor air pollutants, specifically Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Ammonia (NH3), and Particulate Matter 2.5 (PM 2.5). Furthermore, there is a sensing unit that aids in the automated watering of the plants. The Internet of Things (IoT) plays a vital role in efficient data processing, specifically using ThingSpeak analytics to provide real-time monitoring of the air and soil moisture levels. Considering the multiple tracking of sensing units, the implementation of the Kalman filter algorithm enables the transmission of stable data for the analysis on ThingSpeak. The design also includes comfort assessment by visualizing an Enhanced Indoor Air Quality Index on how the body perceives temperature, humidity, and indoor air pollutants. Then by performing a T-test with a probability value of 5%, the ratio of difference (t-value) between setups is determined. Comparing the design to common house plants showed a significant difference, except temperature, with all t-values greater than the critical value 1.86. In contrast, results showed the effectivity of the proposed device by having no significant difference from a commercial air filter.","PeriodicalId":433197,"journal":{"name":"2021 IEEE 11th International Conference on System Engineering and Technology (ICSET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132254887","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: 5

Design of an Arduino-Powered Sleep Monitoring System Based on Electrooculography (EOG) with Temperature Control Applications 基于电眼图(EOG)和温度控制应用的arduino供电睡眠监测系统设计

2021 IEEE 11th International Conference on System Engineering and Technology (ICSET) Pub Date : 2021-11-06 DOI: 10.1109/ICSET53708.2021.9612558

C. Paglinawan, Genesis M. Cruz, Kyle Reifel M. Del Villar

引用次数: 0