2022 IEEE Colombian Conference on Communications and Computing (COLCOM)最新文献

UWB-OFDM System Model for Breast Cancer Detection 乳腺癌检测的UWB-OFDM系统模型

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107839

Juan Pablo Rivelli Malcó, David Zabala-Blanco, Roberto Ahumada-García, J. Datta, I. Soto, A. D. Firoozabadi

{"title":"UWB-OFDM System Model for Breast Cancer Detection","authors":"Juan Pablo Rivelli Malcó, David Zabala-Blanco, Roberto Ahumada-García, J. Datta, I. Soto, A. D. Firoozabadi","doi":"10.1109/Colcom56784.2022.10107839","DOIUrl":"https://doi.org/10.1109/Colcom56784.2022.10107839","url":null,"abstract":"This research paper proposes a communication system that can be applied in diagnosis through medical imaging. The objective is to spot abnormalities in breasts with a high level of precision, allowing for diagnostics in the early stages of potential breast cancer. The system was theoretically modeled and simulated with the help of computational calculations. This solution gathers characteristics from different technologies and standards that were combined to model an efficient system which meets the necessary requirements and functions for a feasible and viable proposal for its future implementation. The main contribution of this work is identified in the experimental results through the application of the finite difference method in the time domain (FDTD) where it is shown how a malignant tissue (tumor) reflects to a greater extent the expenditure that falls on said region in compared to healthy tissue made up of fibrous tissue, connective, glandular and adipose tissue. It is also important to highlight the spectral and energy efficiency of OFDM systems, characteristics that directly affect the quality level of the systems. Finally, a simulation of the image formation is performed using an innovative method of spatial filtering under the concept of beamforming.","PeriodicalId":167574,"journal":{"name":"2022 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127315387","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

Extreme Learning Machine for Mass Spectrometry Data Analysis 质谱数据分析的极限学习机

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107875

Mario Ulloa Orellana, Xaviera A. López-Cortés, David Zabala-Blanco, Pablo Palacios Játiva, Jayanta Datta

引用次数: 0

Recommendation System For Tourist Routes Using Fuzzy Logic In The Arequipa City 基于模糊逻辑的阿雷基帕市旅游路线推荐系统

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107831

Braulio Nayap Maldonado Casilla, Jharold Alonso Mayorga Villena, Yuber Velazco-Paredes, Roxana Flores-Quispe

{"title":"Recommendation System For Tourist Routes Using Fuzzy Logic In The Arequipa City","authors":"Braulio Nayap Maldonado Casilla, Jharold Alonso Mayorga Villena, Yuber Velazco-Paredes, Roxana Flores-Quispe","doi":"10.1109/Colcom56784.2022.10107831","DOIUrl":"https://doi.org/10.1109/Colcom56784.2022.10107831","url":null,"abstract":"Tourist in Arequipa city has been reduced due to the restrict of the pandemic, which has changed the habits of visitors who now seek information about the places they want to visit through technology. And also in some cases, they could visit many places, but they don’t have enough time. Then in this new society, a reinvention of the tourist experience is needed. For this, it is necessary to develop services that provide the opportunity to find an optimal automatic route that will permit maximizing and reinventing the tourist experience. For that reason, we have proposed a tourism recommendation system based on the ratings of places visited by other users, and the economic availability of the users is evaluated using fuzzy logic. If the quality of the service improves, the clients will feel satisfied with the tourism service. Finally, this research has presented successful results such as the generation of a route showing the order of places to visit optimizing the time and price. Also, a lot of users and tourism sales advisors can execute the system because it is easy to use, which is verified in the experiments.","PeriodicalId":167574,"journal":{"name":"2022 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114143786","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

Web-based personal access control system using facial recognition with deep learning techniques 基于web的个人门禁系统，使用面部识别和深度学习技术

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107868

Franklin Coronel, Norma Barreno, P. Munoz, David Zabala-Blanco, Noemí Onofa, Marco J. Flores-Calero

{"title":"Web-based personal access control system using facial recognition with deep learning techniques","authors":"Franklin Coronel, Norma Barreno, P. Munoz, David Zabala-Blanco, Noemí Onofa, Marco J. Flores-Calero","doi":"10.1109/Colcom56784.2022.10107868","DOIUrl":"https://doi.org/10.1109/Colcom56784.2022.10107868","url":null,"abstract":"This paper presents a web application to control personnel access to a work area without contact; this makes it ideal to help combat the Covid-19 health emergency. For its implementation, deep learning and computer vision techniques have been used for face detection and recognition. The system consists of four phases, the first one aimed at detecting and aligning the face with deep learning algorithms. The second phase obtains the facial features to recognize different people. The third phase consists of implementing a module that detects face impersonation, and significantly prevents possible attacks on the system by identifying whether the face is real or fake; and the last phase is the design and development of the web interface. This interface performs the communication of the algorithms, the users and the administration. In order to evaluate this proposal, several experiments have been carried out under diverse real conditions. The main results to correctly identify the user show that it has an accuracy of 99 %, in an estimated time of 3 seconds, in the range of 20 cm to 90 cm away, with respect to the camera. In addition, the system is capable of identifying users wearing masks or glasses, in this case with an accuracy of 95% in 4 seconds.","PeriodicalId":167574,"journal":{"name":"2022 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123514285","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

SI-based hybrid precoder for mmWave massive MU-MIMO systems 用于毫米波大规模MU-MIMO系统的基于si的混合预编码器

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107841

A. Ortega

引用次数: 0

Review of Extreme Learning Machines for the Identification and Classification of Fingerprint Databases 指纹数据库识别与分类的极限学习机研究进展

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107849

Diego Martínez, David Zabala-Blanco, Roberto Ahumada-García, César A. Azurdia-Meza, Marco J. Flores-Calero, Pablo Palacios-Játiva

{"title":"Review of Extreme Learning Machines for the Identification and Classification of Fingerprint Databases","authors":"Diego Martínez, David Zabala-Blanco, Roberto Ahumada-García, César A. Azurdia-Meza, Marco J. Flores-Calero, Pablo Palacios-Játiva","doi":"10.1109/Colcom56784.2022.10107849","DOIUrl":"https://doi.org/10.1109/Colcom56784.2022.10107849","url":null,"abstract":"The fingerprint is one of the most popular and used biometric traits for the identification of people, due to its bio-invariant characteristic, precision, and easy acquisition. One of the stages in the identification of fingerprints is classification, this has the objective of reducing the search times and the computational cost in the databases. Currently, there are several academic publications with methods based on convolutional neural networks (CNN) by using fingerprint images as inputs, which have excellent performance in terms of classification; however, these studies have a very high computational cost, and they require high-performance computing, which is not accessible to everyone. This work will be carefully reviewed proposals for fingerprint identifiers and classifiers by employing extreme learning machines (ELM). The methods proposed by the authors will be analyzed, and these will be compared in terms of the overall performance with the different classifiers considered by the authors in their respective works. In this sense, research works with different types of ELM are considered to see the advantages and disadvantages that they present with each other and to verify how they can contribute to reducing the penetration rate of fingerprint databases. The latter is very important since improving the penetration rate implies reducing search times and computational complexity in fingerprint databases.","PeriodicalId":167574,"journal":{"name":"2022 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134107477","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

Development and implementation of an SDR device-compatible library applied to HFSWR 开发和实现一个适用于HFSWR的SDR设备兼容库

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107859

A. D. Quintero, G. Natalia Gaviria, R. Durazo, Bernardo Esquivel-Trava, R. Gómez, Vladimir Toro Valencia

{"title":"Development and implementation of an SDR device-compatible library applied to HFSWR","authors":"A. D. Quintero, G. Natalia Gaviria, R. Durazo, Bernardo Esquivel-Trava, R. Gómez, Vladimir Toro Valencia","doi":"10.1109/Colcom56784.2022.10107859","DOIUrl":"https://doi.org/10.1109/Colcom56784.2022.10107859","url":null,"abstract":"High Frequency Surface Wave Radars (HFRSW) are used as a technological alternative to sense oceanographic variables in a remote and non-intrusive manner. Currently, a great variety of companies commercialize these products, but at high cost. Seeking higher flexibility and lower economic and computational cost, many researchers propose the inclusion of Software Defined Radio (SDR) in schemes and developments on these devices. The inclusion of SDR has resulted in more compact systems, with lower energy consumption, and more flexibility configuration for each work mode, among other advantages. In this paper we implement the Gurgel methodology to obtain the Doppler Spectrum. We perform a comparison between our own implementation (LaQuinta) and Wera (WERADesk) to identify the applicability and limitations of LaQuinta. We also used LaQuinta to learn a set of LimeSDR-USB skills. We conclude that we need to know the calibration functions in LaQuinta and develop a Front-end RF before the A/D process to improve the measures when using low-cost SDR and own implementation.","PeriodicalId":167574,"journal":{"name":"2022 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127403065","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 application of Faster R-CNN for the detection and recognition of Ecuadorian traffic signs Faster R-CNN在厄瓜多尔交通标志检测与识别中的应用

2022 IEEE Colombian Conference on Communications and Computing (COLCOM) Pub Date : 2022-07-27 DOI: 10.1109/Colcom56784.2022.10107891

Marco J. Flores-Calero, A. Albuja, M. Gualsaquí, María J. Ayala, Joselyn Gallegos

引用次数: 0