{"title":"OCR and Levenshtein distance as a measure of image quality accuracy for identification documents","authors":"Kreshnik Vukatana","doi":"10.1109/ICECET55527.2022.9872824","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872824","url":null,"abstract":"Optical Character Recognition (OCR) is a technology used to distinguish printed or handwritten text characters inside digital images. The areas that it is applied differ from text editors where the scanned images are converted to text, to text recognition where license plates are identified through a camera. The proposed model in this paper uses this technology with the integration of a text-matching algorithm to decide if an image has good quality and clear readability. The sample dataset is based on identification documents, such as a health insurance card. The main objective of the designed model is to enhance the pre-processing phase of dataset creation used from the training models for document classification based on artificial intelligence. It can be used in the pre-processing phase as a boundary for the processed images, to clean the input data from low quality images.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123258444","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":"Exploring ML for Predictive Maintenance Using Imbalance Correction techniques and SHAP","authors":"Krish Patel, A. Shanbhag","doi":"10.1109/ICECET55527.2022.9873073","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873073","url":null,"abstract":"This paper focuses on an application of machine learning in industries - predicting machine failure from sensor data for maintenance purposes. The primary purpose of this paper is to use machine learning models to predict whether a machine is going to fail or function normally. Various machine learning techniques are implemented and evaluated on a synthetic dataset and then a real-world dataset. This method allows a comparison to be drawn between a theoretical approach and real-world application. This paper first introduces the various machine learning (ML) models and describes the datasets. Then, the best performing models are further developed and discussed. Lastly, the models are evaluated quantitatively (using performance metrics) and qualitatively (by Shapley Additive Explanations, SHAP values).","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125354263","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}
Subrata Bhattacharjee, Yeong-Byn Hwang, Hee-Cheol Kim, Heung-Kook Choi, Dongmin Kim, N. Cho
{"title":"Invasive Region Segmentation using Pre-trained UNet and Prognosis Analysis of Breast Cancer based on Tumor-Stroma Ratio","authors":"Subrata Bhattacharjee, Yeong-Byn Hwang, Hee-Cheol Kim, Heung-Kook Choi, Dongmin Kim, N. Cho","doi":"10.1109/ICECET55527.2022.9872881","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872881","url":null,"abstract":"Breast cancer (BCa) is a type of disease that has multiple prognostic markers that differs from one cancer stage to another. Assessing the area and pattern of cancer regions is essential for pathological investigations. However, the main purpose of this study is to segment the regions of invasive carcinoma (i.e., non-tubular and tubular) in the histological sections of BCa. The segmentation was performed on hematoxylin and eosin (H&E)-stained tissue slides of 42 BCa patients from 5 different centers in Korea. The tumor-stroma ratio (TSR) is a promising prognostic parameter for BCa as well as in other epithelial cancer types estimating the area of stroma and tumor regions. Therefore, in this paper, we used the pre-trained convolutional neural network (CNN) models as a backbone of UNet, to precisely extract the tumor regions from the stroma tissue components for TSR analysis.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126969469","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":"Tunable Graphene-Silicon-Silicon Oxide Optical Absorber Optimization for Optical-Wireless Communication and Sensor Applications","authors":"A. Abas","doi":"10.1109/ICECET55527.2022.9873052","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873052","url":null,"abstract":"Tunable Graphene-Silicon-Silicon Oxide optical absorber is designed and optimized. It is designed as 3-layer of Graphene-Silicon-Silicon Oxide, and arranged in several stacks. The thickness of Graphene, Silicon, and Silicon Oxide are respectively 0.345 nm, 50 nm and 25 nm. The optimum absorbance is obtained in the 9 stacks arrangement with the operating wavelength of 5.8 $mu mathrm{m}$ and high absorbance wavelength range of 0.5 $mu mathrm{m}$. optimization were conducted on important design parameters namely Fermi level, number of stack layer, and material layer thickness.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909837","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":"Thermal analysis of a tubular receiver of a fixed spherical solar collector","authors":"Jalila Daoudi, Abdelghani Aramja, E. H. Achouyab","doi":"10.1109/ICECET55527.2022.9872801","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872801","url":null,"abstract":"The shape of a solar collector has a significant effect on solar-thermal conversion. The tubular receiver is used as the solar water heater. The incident angles and the difference between the inlet temperature of the receiver and the temperature surrounding it have a direct impact on the efficiency. This research aims to calculate the thermal efficiency of a tubular receiver of a fixed spherical solar collector at different incident angles. The Hottel-Whilier-Bliss equation is used as a basis of calculation. Water is used as the heat transfer fluid with a mass flow of 0.05 kg/s by a pipe. The system is simulated to Figure out the partition of temperature and the distribution of water flow inside the pipe. A brief comparison between a fixed and a tracking system of the tubular and coiled absorber is analyzed. The results show that the thermal efficiency of the tubular absorber increases as the difference between the inlet temperature of the receiver and the surrounding temperature decreases; in addition, the incident angle 6, which is the angle between the sun rays and the axis of revolution of the tubular receiver, decreases. The maximum efficiency reaches 71.85% at the zenith position, and 80.79% at a temperature difference between the receiver and the temperature surrounding per the irradiation equals zero. The fluid can attain a temperature above 1000°C which can generate superheated steam at high pressure.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115455933","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}
Hanane Sefraoui, Khalid Salmi, Hajar Chadli, A. Ziyyat
{"title":"Adaptive Locking Range of the Software Phase-Locked Loop (SPLL)","authors":"Hanane Sefraoui, Khalid Salmi, Hajar Chadli, A. Ziyyat","doi":"10.1109/ICECET55527.2022.9872678","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872678","url":null,"abstract":"The phase-locked loop control system is the most widely used solution for ensuring synchronization between transmitter and receiver signals. It is one of the main building blocks of current electronic designs. Any kind of phase-locked loop (PLL) can be implemented in software, as well as analog PLLs. The great thing about software implementation is that the loop can be flexibly changed to embed signal processing elements for better performance of the PLL. This paper provides a simulation of a phase-locked loop to evaluate the phase error tracking. Adaptive software was performed in the loop by adjusting loop bandwidth and frequency offset. The digital filter is a basic block in any digital system, the advantage of the Infinite Impulse Response (IIR) filter over the Finite Impulse Response (FIR) has been emphasized in this paper. Finally, the simulation results are presented and compared and show how the response of the loop changes.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122316637","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}
Oussama Lamsellak, Ahmad Benlghazi, Abdelaziz Chetouani, Abdelhamid Benali
{"title":"Human body action recognition with machine learning for bionic applications: a Sensor Data Fusion Approach","authors":"Oussama Lamsellak, Ahmad Benlghazi, Abdelaziz Chetouani, Abdelhamid Benali","doi":"10.1109/ICECET55527.2022.9873059","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873059","url":null,"abstract":"Health sensors are a valuable source of data for researchers investigating the body’s varied activities. Human activity recognition systems have a special attachment to health sensors as their construction requires a focus on several steps such as pattern classification, feature extraction and selection, classifier design, and the learning process.Our research is primarily concerned with recognizing the various movements of the body’s extremities in order to contribute to research on prosthetic control employing electromyography signals and the development of smart health systems. As a beginning stage, we decided to focus our research on detecting physical activity by utilizing data from two sensors with the intention of improving analysis and hypotheses associated with bionic applications and artificial intelligence solutions for health systems.We demonstrated this approach with a specific case study on the exploitation of the data generated by the accelerometer and gyroscope. This analysis was performed on seven human activities along with a new set of indicator parameters, statistical features, and five well-known machine-learning classifiers to evaluate the results.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122374439","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":"Challenges Encountered by Artificial Intelligence Applications in Today’s Interconnected World","authors":"Amin H. Al Ka’bi","doi":"10.1109/ICECET55527.2022.9873465","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873465","url":null,"abstract":"In recent years, technological and scientific advancements in artificial intelligence (AI), along with one of its key subcategories, i.e., machine learning (ML) are growing exponentially. For example, the remarkable achievements in artificial intelligence occurred in 2021 included an AI model that can meritoriously integrate natural language processing with computer vision to create images from textual captions, and an AI framework that can diagnose dementia in short time, besides other captivating inventions. This research work, AI and ML are investigated, and some key features are presented, including their relevant subfields, methods, industries, main stages, and most importantly the technical challenges that encounter the importantly the technical challenges that encounter the mainly on the current challenges encountered by artificial intelligence and machine learning applications, where the pair of intelligence and machine learning applications, where the pair of ethics and transparency in AI are highlighted in terms of their meanings, and their importance to AI/ML. Subsequently, a framework for AI design and implementation is introduced entitled “PESTEL” which stands for Political, Economic, Social, Technological, Environmental, and Legal. It is predicted that the outcome of this research work will facilitate the incessant espousal of AI/ML in today’s interconnected world.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122377558","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":"Evidence of Shannon Entropy Diffusion Along Central Europe at the Covid-19 Pandemic","authors":"H. Nieto-Chaupis","doi":"10.1109/ICECET55527.2022.9872768","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9872768","url":null,"abstract":"At the end of 2021, a 4th wave of Corona Virus 2019 (Covid-19 in short) pandemic has emerged at Germany against the expectations after a vaccination program that could have reached a 3/4 of German population (to date). It is actually interesting that the peak of infections at the third week of November is twice than the second wave as seen at data one year ago despite that at that times the vaccination scheme was still modest. This paper focuses at Germany and its ongoing wave that is perceived as a consequence of a type of entropy because the mobility of virus and infections. In addition the consequences of this entropy and the possible correlation at the neighbors countries such as Austria and Czech are analyzed.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122391660","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":"Investigating a Microwave Waveguide Sensor with an Organic PEDOT:PSS Boundary for Humidity Detection","authors":"Jack McClelland, Omid Niksan, M. Zarifi","doi":"10.1109/ICECET55527.2022.9873065","DOIUrl":"https://doi.org/10.1109/ICECET55527.2022.9873065","url":null,"abstract":"Biodegradable organic conductive polymers are seeing ever-increasing attention for the development of future generation electronic devices. This paper investigates the integration of PEDOT: PSS - an organic nanomaterial - with a microwave waveguide resonator for humidity detection. A microwave resonant cavity was developed by terminating an open-ended waveguiding structure with a conductive PEDOT: PSS thin film boundary. Variations in relative humidity affect the conductivity of the PEDOT: PSS thin film, which impact the reflection coefficient seen at the waveguide input. Therefore, by monitoring the S11 (dB) reflection coefficient parameter, changes in relative humidity can be detected. The resonators sensitivity to humidity was validated by observing strong humidity variations in an enclosed container. Varying humidity from 0% to 85% RH in 20% RH intervals resulted in an increase in resonant amplitude of 5.54 dB and a decrease in resonant frequency of 18.5 MHz. Five extreme humidity cycle measurements ranging between 0% and 85% RH were conducted to successfully verify the stability and repeatability of amplitude variation. Offering a robust structure, shielded from EMI, and featuring a biodegradable, organic component, the proposed device demonstrated a potential for humidity sensing applications in harsh environments (i.e. oil-sand industry), and paves the way for novel developments into the future integration of waveguides and organic materials.","PeriodicalId":249012,"journal":{"name":"2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116738503","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}