Luis Alberto Alvarez Penayo, Marco Antonio Alvarez Penayo, José Colbes, Diego Pinto
{"title":"Optimization in Positioning of Police Resources A case study of Asunción - Paraguay","authors":"Luis Alberto Alvarez Penayo, Marco Antonio Alvarez Penayo, José Colbes, Diego Pinto","doi":"10.1109/CLEI56649.2022.9959939","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959939","url":null,"abstract":"Efficient attendance of 911 emergency calls is a significant challenge, mainly in cities with high rates of violence. This problem has been addressed by considering it as a coverage problem with violence rates but without guaranteeing maximum response time or minimizing response time without guaranteeing coverage. Consequently, in this work, we address this problem by considering a coverage maximization according to the violence index guaranteeing maximum response and coverage. For this purpose, we developed a tool that builds a weighted graph with the violence index, given a city map and the history of recorded incidents. Next, inspired by the previous works, we propose a new mathematical formulation that maximizes coverage according to the rate of violence subject to total coverage and guarantees maximum response time. Furthermore, we apply a Tabu Search to calculate the best solution. Considering actual data from the city of Asunción (Paraguay), a numerical simulation was performed using the strategy in the system 911, a state-of-theart algorithm based on coverage, and our contribution. The simulation results show that the proposed algorithm can find security coverage solutions with a better allocation for the areas with a high rate of violence than the other alternatives evaluated.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"345 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115409524","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":"A comparative study on plant classification using convolutional neural networks architectures","authors":"Danitza Bermejo, Guina Sotomayor Alzamora","doi":"10.1109/CLEI56649.2022.9959905","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959905","url":null,"abstract":"Determining the species of a plant is important to know its ecological and economic importance. Recently, deep learning (DL) models, specifically convolutional neural networks (CNN), have achieved outstanding results in several applications, including the classification of plants. This work focused on the evaluation and compassion of transfer learning models: Alexnet, VGG-16, ResNet-18, ResNet-50, DenseNet, and Inception V3. The datasets used were the Peruvian Forestry Amazon dataset and PlantVillage. For the training, therefore, we used two instances. We evaluated the models by different multiclass metrics: accuracy, sensitivity, precision, F-score. The results present significant values obtained by the VGG-16 model, with 97,79% accuracy, 98,00% sensitivity, 98,00% precision, and 98,00% F-score to the Peruvian Forestry Amazon dataset. It is possible to conclude that the VGG-16 model got an acceptable level of accuracy, which makes it a useful tool to help classify plant species from the Amazon.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129787906","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":"Implementation and Performance Evaluation of LoRaWAN in Real Environment of Agriculture","authors":"Victor Karnopp Neitzel, Janine Kniess","doi":"10.1109/CLEI56649.2022.9959900","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959900","url":null,"abstract":"Low Power Wide Area Networks are designed with a focus on Internet of Things applications that demand a transmission in the order of kilometers. In this paper, we present a performance assessment of LoRa technology and the LoRaWAN communication protocol as a function of the distance between the nodes, and as a function of the spectral spread factor (SF). For the evaluation, we implemented two real monitoring applications for livestock and beekeeping. The systems allows users to follow the monitored data through the Internet. The experiments show that using SF at 12 reduced packet losses by 50% compared to SF at 7, even on greatest distances evaluated.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"80 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128914601","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":"Program Committees","authors":"","doi":"10.1109/clei56649.2022.9959910","DOIUrl":"https://doi.org/10.1109/clei56649.2022.9959910","url":null,"abstract":"","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121542308","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":"Analysis of software products related incidents through process intelligence","authors":"Michael Arias, Juan Diego Rodríguez Cambronero","doi":"10.1109/CLEI56649.2022.9959967","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959967","url":null,"abstract":"The challenging environment in which organizations live today address significant challenges in the daily processes they perform, and how the use of data stored in their information systems can support them in improving decision making. Given that technologies and processes have been evolving, managing processes implies a changing and adaptive scenario, with the task of making the execution of processes more effective and efficient. This paper proposes a method that combines the application of business intelligence and process intelligence techniques as an approach to analyze and evaluate support processes through help desks. The suitability of the method is illustrated through a case study of a software products related incident process. The results cover process discovery and analysis through three process mining perspectives.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"33 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130624020","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":"Portability and Performance Assessment of the Non-Negative Matrix Factorization Algorithm with OpenMP and SYCL","authors":"Youssef Faqir-Rhazoui, Carlos García, F. Tirado","doi":"10.1109/CLEI56649.2022.9959906","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959906","url":null,"abstract":"The SYCL standard was released to improve code portability across heterogeneous environments. Intel released the oneAPI toolkit, which includes the Data-Parallel C++ (DPC++) compiler which is the Intel’s SYCL implementation. SYCL is designed to use a single source code to target multiple accelerators such as: multi-core CPUs, GPUs and even FPGAs. Additionally, the C/C++ compiler provided in the oneAPI toolkit supports OpenMP which also allows targeting codes on both CPU and GPU devices. In this paper, the performance of SYCL and OpenMP is evaluated using the well-known non-negative matrix factorization (NMF) algorithm. Three different NMF implementations are developed: baseline, SYCL and OpenMP versions to analyze the acceleration on CPU and GPU. Experimental results show that while the two programming models perform almost identically on CPU, on GPU, SYCL outperforms its OpenMP counterpart slightly.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125787751","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}
Adrián Silveira, Gustavo Betarte, M. Cristiá, C. Luna
{"title":"An Idealized Model for the Formal Security Analysis of the Mimblewimble Cryptocurrency Protocol","authors":"Adrián Silveira, Gustavo Betarte, M. Cristiá, C. Luna","doi":"10.1109/CLEI56649.2022.9959925","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959925","url":null,"abstract":"Mimblewimble is a privacy-oriented cryptocurrency technology that provides security and scalability properties that distinguish it from other protocols. Mimblewimble’s cryptographic approach is based on Elliptic Curve Cryptography which allows verifying a transaction without revealing any information about the transactional amount or the parties involved. Mimblewimble combines Confidential transactions, CoinJoin, and cut-through to achieve a higher level of privacy, security, and scalability. In our previous work ([2], [26], [25]), we have presented and discussed these security properties and presented a model-driven verification approach in order to guarantee the correctness of the protocol implementations. In particular, we have proposed an idealized model that is essential to the described verification process. In that formal setting, we say that a transaction is valid if it is balanced, all output range proofs are valid and the kernel signature is valid for the excess. However, no formal and precise definition was given to the signature requirement. In this paper, we put forward an extension of our model to enable signatures. We specify a signature scheme that allows us to develop several properties and lemmas we have defined on our initial idealized model. The definition of a valid transaction is extended accordingly.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126215475","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}
Helver Novoa Mendoza, Edwin Martínez Camero, Emilio Granell, F. Giraldo
{"title":"Minimum reference network for temperature modeling through distance-based algorithms","authors":"Helver Novoa Mendoza, Edwin Martínez Camero, Emilio Granell, F. Giraldo","doi":"10.1109/CLEI56649.2022.9959899","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959899","url":null,"abstract":"The measurement, monitoring, modeling and forecasting of atmospheric phenomena such as temperature, precipitation, humidity, speed, wind direction, among others, requires the installation and maintenance of a network of meteorological stations for the development of this activity. Depending on its purposes and scope, this network will be more or less sophisticated in the capture and transmission of information. The present work proposes to formulate a methodology to establish the minimum network of meteorological stations necessary for the recording of temperature, as well as the thermal zones of the Colombian territory as a function of altitude. For this purpose, first, the Dynamic Time Warping (DTW) algorithm was used as a technique to calculate the similarity between time series. From the results obtained with DTW, a hierarchical grouping was developed to determine the station clusters. Finally, the thermal zones, 10 in total as a result of the clustering, were the result of selecting those stations that were within the interquartile range with respect to the altitude coordinate. From an initial network of 452 stations, an optimal network of 230 stations was arrived at. Daily historical temperature records from the network of meteorological stations managed by the Institute of Environmental Studies (IDEAM) were the input with which this methodology was implemented.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125764028","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}
Francis Adrián Vargas-Barrantes, Gabriela Marín-Raventós, Gustavo López Herrera, Edgar Casasola Murillo
{"title":"Social Network Analysis for Automatic Ranking of Political Stakeholders: a Case Study","authors":"Francis Adrián Vargas-Barrantes, Gabriela Marín-Raventós, Gustavo López Herrera, Edgar Casasola Murillo","doi":"10.1109/CLEI56649.2022.9959920","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959920","url":null,"abstract":"This article exposes the way in which the creation of a new method for calculating the popularity of stake holders in social networks can support political data analysis experts. The definition of a new formula for estimating popularity allowed us to have a new method that, together with other previously existing ones, allows us to build a multidimensional interpretation of reality. The construction of a method that would seem like a computational scientific curiosity has significant impacts for experts who carry out political analysis. The new ranking algorithm called BOPRank made it possible to identify political actors in a different way than known algorithms. While a wellknown algorithm showed popularity as a result of the work of campaign teams on social networks, the new algorithm reflected popularity obtained as a result of the reaction of the public on social networks.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126892969","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}
R. Toscano-Miranda, W. Hoyos, Manuel Caro, J. Aguilar, A. Trebilcok, Mauricio Toro
{"title":"A Classification Model of Cotton Boll-Weevil Population","authors":"R. Toscano-Miranda, W. Hoyos, Manuel Caro, J. Aguilar, A. Trebilcok, Mauricio Toro","doi":"10.1109/CLEI56649.2022.9959893","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959893","url":null,"abstract":"Integrated pest management (IPM) seeks to minimize the environmental impact of pesticide application. IPM is based on two important aspects —prevention and monitoring of diseases and insect pests— which today are being assisted by sensing and artificial-intelligence (AI). Particularly, AI helps to identify, monitor, control and make decisions about pests in crops. In this paper, we present a comparison among five machine-learning models to classify the population of the boll weevil in cotton into three classes: low, medium and high. Weather data (average daily rainfall, humidity and temperature) were used to classify the population of the boll weevil in the department of Córdoba, Colombia. The results showed that XGBoost obtained the highest accuracy (88%). Results showed that it is possible to classify boll-weevil populations using weather data.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129285359","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}