H. Nieto-Chaupis, Carlos Campomanes-Bravo, W. Huisa, W. Cortez
{"title":"The Input-Output Scheme to Model Financial Fluctuations in Peruvian Stock Markets","authors":"H. Nieto-Chaupis, Carlos Campomanes-Bravo, W. Huisa, W. Cortez","doi":"10.1109/SHIRCON.2018.8593171","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8593171","url":null,"abstract":"In this paper we use the well-known Input-Output scheme to model the temporal behavior of the ISBVL (ndice selectivo de la bolsa de valores de Lima) before and after the 2011 general elections in Peru. Because data exhibites abnormalities between January and July, dynamic instabilities are identified. We claim that a phase transition is manifested before and after the polls as consequence of accumulated uncertainties. Indeed, as observed on the ISBVL versus time curve, a strongly nonlinear region is identified over the time where the run-off took place. This phenomenon as reflected on the ISBVL leads to establish a phase transition from a linear to a nonlinear regime according to the behavior of the data. Furthermore, we noted that the nonlinear region is plagued by intrinsic fluctuations, noise and random events. In order to understand the phenomenology and dynamics associated a mathematical methodology in terms of convolution integrals based on input-output processes is presented. In concrete the transfer function corresponding to the nonlinear region is reconstructed. The exposed methodology in this note can be alternatively used for fitting those ISBVL curves featured by strong fluctuations and therefore to make predictions to some extent within a systematic error.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123891470","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}
Israel Raul Tiñini Alvarez, Guillermo Sahonero-Alvarez
{"title":"Gait Recognition Based on Modified Gait Energy Image","authors":"Israel Raul Tiñini Alvarez, Guillermo Sahonero-Alvarez","doi":"10.1109/SHIRCON.2018.8592975","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8592975","url":null,"abstract":"Biometric systems allow us to identify individuals from distinctive biological traits. Gait recognition is a biometric technique used to recognize humans based on the style of their walk. However, model-free based gait recognition performance is often degraded by the presence of some covariate factors such as view, clothing and carrying variations. From these, it has been shown that the change in appearance is the covariant that most affect the recognition performance. To address such issues, we propose to use a feature representation that takes both dynamic and static regions of silhouettes. This way, more robustness against covariates and better discriminative performance are expected. The proposed method is evaluated on one of the largest datasets available under the variations of clothing and carrying conditions: CASIA gait database B. Results show that the proposed method achieves correct classification rate up to 90% and outperformed state-of-the-art methods.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124175684","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}
Chris García-Porras, Sarita Huamani-Pastor, Jimmy Armas-Aguirre
{"title":"Information Security Risk Management Model for Peruvian SMEs","authors":"Chris García-Porras, Sarita Huamani-Pastor, Jimmy Armas-Aguirre","doi":"10.1109/SHIRCON.2018.8592994","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8592994","url":null,"abstract":"In this paper, we propose a risk management model of information security for Peruvian SMEs, taking as reference the OCTAVE-S methodology and the ISO / IEC 27005 standard. The model consists of the 3 phases of OCTAVE-S (Construction of the threats profile, Identification of infrastructure vulnerabilities, and Strategies and security plans). This model contains the contemplated lists of ISO / IEC 27005, it also contains the calculation and the risk treatment of this standard. Likewise, the model adopts a quantitative approach that allows calculating the residual risk, for example, the most critical asset identified obtained 216 of risk value and the residual risk obtained was 109 of risk value, this is obtained on the basis of the effectiveness of the controls that are part of the proposed model, for example, formalize procedures and policies and their occasional review. This model provides guidelines for information security risks for companies. It was implemented in the sales process of a Peruvian SME of the ceramic sector, proving to be easy to use and it was possible to identify the necessary controls to reduce the risk, whose implementation reduces the risk by 53%.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129645809","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":"Proceedings of the 2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","authors":"","doi":"10.1109/shircon.2018.8592996","DOIUrl":"https://doi.org/10.1109/shircon.2018.8592996","url":null,"abstract":"","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130572741","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}
Martha Medina-De-La-Cruz, Anderson Mujaico-Mariano
{"title":"Implementation of a System for the Evaluation of Environmental Factors that Use the Internet of Things","authors":"Martha Medina-De-La-Cruz, Anderson Mujaico-Mariano","doi":"10.1109/SHIRCON.2018.8593015","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8593015","url":null,"abstract":"Environmental factors influence the deterioration of human health, causing various diseases and depend on prolonged exposure in environmental environments where these factors are found in extremely harmful indexes for people. In recent years, the most worrisome environmental factors are air pollution due to the different concentrations of polluting gases and the high rates of ultraviolet radiation. If the time of exposure to the factors is greater, then the damage to health will be harmful. It is estimated that 24% of annual deaths worldwide and 33% of diseases in children under 5 years of age are due to exposure to risks due to environmental factors that could be prevented. For this reason, a measurement system was implemented to evaluate environmental factors and prevent existing diseases. The research project uses the NodeMCU ESP8266 platform for the development of the Internet of Things (IoT), which will allow sending the data to the server using the internet technology of things, where the data acquired by measuring the electrochemical sensors (MQ), temperature and humidity (DHT-22) and ultraviolet radiation sensor (GYML8515). This system works using a Blynk server allowing to monitor the data in real time.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122402520","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}
J. Ramos-Diaz, Rosmery Ramos-Sandoval, O. Király, Z. Demetrovics, M. Griffiths
{"title":"An Exploratory Study on Motivational Predictors in Internet Gaming Disorder Among Peruvian Gamers","authors":"J. Ramos-Diaz, Rosmery Ramos-Sandoval, O. Király, Z. Demetrovics, M. Griffiths","doi":"10.1109/SHIRCON.2018.8593048","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8593048","url":null,"abstract":"According to many reports, one of the fastest growing industries in the US is video games. In Peru, it is estimated that Peruvians spent more than one hundred million dollars annually in videogames. However this number may be underestimated since piracy is a common practice. With the rapid proliferation of this form of entertainment, the inclusion of Internet Gaming Disorder (IGD) in section III of the Diagnostic and Statistical Manual of Mental Disorders and the recent inclusion of Gaming Disorder in the beta draft of the 11th International Classification of Diseases, many academic researchers and health professionals have become concerned with the addictive properties of videogames. Previous research has found that motivational factors have an important role in addictive behaviors. For this reason, the present study aimed to identify the main motivational factors underlying IGD. To reach this goal, a large empirical survey was carried out among 821 Peruvian gamers. Results showed that escape and fantasy were the factors that most predict IGD among Peruvian gamers. Implications for mental health professionals, game developers, and academics are discussed.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072236","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}
H. Nieto-Chaupis, Roberto Cotrina, Hugo del Rosario, Gustavo Villar
{"title":"Identifying and Modeling Psychosocial Risk of Young Population in Large Latin American Cities by Using Shannon Entropy and Random Variable Distributions","authors":"H. Nieto-Chaupis, Roberto Cotrina, Hugo del Rosario, Gustavo Villar","doi":"10.1109/SHIRCON.2018.8593086","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8593086","url":null,"abstract":"By taking into account the lifestyle of 306 young adults we use Shannon entropy in conjunction to random distributions to identify and model risk that is strongly dependent on psychosocial factors that would lead gradually to young university people to acquire both physiological and psychological risk fact that would be a problem of future burden in those developing countries whose social layers are essentially composed by young population. From a dataset we identify imminent risk linked to modern lifestyle that is featured by a social factors more than individual factors. The extracted information of the Shannon entropy is translated as the identification of certain groups of risk based on the definition of the normalized psychosocial risk. From the 306 students we identify that at least $25pm 6$ are in potential risk to acquire non-transmissible diseases in the middle term.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116984848","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":"Real-Time Handwritten Letters Recognition on an Embedded Computer Using ConvNets","authors":"Dennis Núñez, Sepidehsadat Hosseini","doi":"10.1109/SHIRCON.2018.8592981","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8592981","url":null,"abstract":"This paper describes the design and implementation of a convolutional neural network for 26 handwritten letters recognition on a regular embedded computer. Recognition task is carried out using a customized convolutional neural network, designed to work with low computational resources. Furthermore, training was conducted on the recently published dataset EMNIST. The experimental results show that the proposed neural network achieves an outstanding accuracy rate compared to similar architectures, also, inference shows a fast response time on a Raspberry Pi 3 board.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124425520","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":"Dynamic Reconfigurable Wiring Panel for a Multipurpose Industrial Module","authors":"G. Patino, V. Murray","doi":"10.1109/SHIRCON.2018.8593021","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8593021","url":null,"abstract":"We present a modular, reconfigurable and dynamic wiring panel implemented to automate the wiring process in a multipurpose industrial module. Its main function is the initial configuration of the necessary connections between the instruments located in a plant, the equipment to implement an industrial scale process and the programmable logic controllers. The focus is on the reconfiguration of software-controlled hardware, through a graphical user interface, to find connections through the representation of analog signals in a graph. Any configuration of a panel can be implemented using the modular design. The proposed panel has been tested on a real industrial module demonstrating the correct routing of all the signals.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793208","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}
Alicia Alva Mantari, Guillermo Wenceslao, Zarate Segura, Bryan Saldivar-Espinoza, Carlos Sotomayor Beltran, A. Roman-Gonzalez
{"title":"Descriptive Study of the Ionosphere Charge Variation as a Preamble of Worldwide Earthquakes During 2016","authors":"Alicia Alva Mantari, Guillermo Wenceslao, Zarate Segura, Bryan Saldivar-Espinoza, Carlos Sotomayor Beltran, A. Roman-Gonzalez","doi":"10.1109/SHIRCON.2018.8593184","DOIUrl":"https://doi.org/10.1109/SHIRCON.2018.8593184","url":null,"abstract":"This exploratory observational study analyzes the variation of the amount of vertical electrons (vTEC) in the ionosphere, days before to the telluric events with a degree greater than M7.0 during the year 2016. Sixteen events were analyzed with these characteristics. The data was obtained from 55 satellites and 300 GPS receivers. This data was downloaded from the Center for Orbit Determination in Europe (CODE). The measurement of the vTEC is done at a height of 450km, and from these values, ionospheric anomalies are calculated. These disturbances are detected assuming that in a time gap window of 8 days the vTEC data has a normal distribution. The vTEC data used for the analysis consists in the variations out of the ranges considered normal. The data is downloaded with software developed by our laboratory and generates maps of the vTEC present in the ionosphere with a periodicity of two hours, delivering data from 17 days before to 4 days after. The analysis area is a circle with 1000 km radius centered at the epicenter of every earthquake. Afterwards, these areas were analyzed and the vTEC, registering the information in this study. It was found that in 100% of the earthquakes there is a significant and positive variation in the vTEC, a negative variation in the 81.25% of the events. It was also found a vTEC variation 6 days before every telluric event in 100% of the cases. This study is a preliminary analysis that shows us the feasibility to analyze this information to obtain evidence of causality, which is the next step of our study, calculating the risk of telluric events in beforehand that could benefit worldwide population.","PeriodicalId":408525,"journal":{"name":"2018 IEEE Sciences and Humanities International Research Conference (SHIRCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116872225","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}