Pub Date : 2020-11-13DOI: 10.17993/3ctecno.2020.specialissue6.65-77
Mirsad Hyder Shah, S. Alsibiani
{"title":"Design and construction of Savonius rotor","authors":"Mirsad Hyder Shah, S. Alsibiani","doi":"10.17993/3ctecno.2020.specialissue6.65-77","DOIUrl":"https://doi.org/10.17993/3ctecno.2020.specialissue6.65-77","url":null,"abstract":"","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"1 1","pages":"65-77"},"PeriodicalIF":0.3,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41645644","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}
Pub Date : 2020-11-13DOI: 10.17993/3ctecno.2020.specialissue6.137-147
Pervis Paredes, D. Esenarro, Jannina J. Bernabe, W. Quispe
{"title":"Acceptability in the optimal formulation of chrysin with partial replacement of pituca flour","authors":"Pervis Paredes, D. Esenarro, Jannina J. Bernabe, W. Quispe","doi":"10.17993/3ctecno.2020.specialissue6.137-147","DOIUrl":"https://doi.org/10.17993/3ctecno.2020.specialissue6.137-147","url":null,"abstract":"","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"1 1","pages":"137-147"},"PeriodicalIF":0.3,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46730951","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":"Yield of tocosh flour in two potato varieties (solanum tuberosum) and their characteristics","authors":"Jorge Jave Nakayo, Verónica Espinel Pino, J. Bulnes, Violeta Vega Ventosilla","doi":"10.17993/3ctecno.2020.specialissue6.149-159","DOIUrl":"https://doi.org/10.17993/3ctecno.2020.specialissue6.149-159","url":null,"abstract":"","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"1 1","pages":"149-159"},"PeriodicalIF":0.3,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48298462","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}
Pub Date : 2020-11-13DOI: 10.17993/3ctecno.2020.specialissue6.161-177
R. Gutierrez, Doris Esenarro Vargas, Pedro Amaya Pingo, C. Rodriguez
{"title":"Vulnerability of the soils of Metropolitan Lima and their relationship with urban sustainability","authors":"R. Gutierrez, Doris Esenarro Vargas, Pedro Amaya Pingo, C. Rodriguez","doi":"10.17993/3ctecno.2020.specialissue6.161-177","DOIUrl":"https://doi.org/10.17993/3ctecno.2020.specialissue6.161-177","url":null,"abstract":"","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"1 1","pages":"161-177"},"PeriodicalIF":0.3,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67542801","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}
Pub Date : 2020-11-13DOI: 10.17993/3ctecno.2020.specialissue6.33-49
Oswaldo Alfaro Bernedo, D. Esenarro, Ciro Rodriguez, Maria Rene Alfaro
{"title":"The Balanced Scorecard (BSC) as a support to the CMMI-DEV constellation SCAMPI for the recognition of the maturity of the software process","authors":"Oswaldo Alfaro Bernedo, D. Esenarro, Ciro Rodriguez, Maria Rene Alfaro","doi":"10.17993/3ctecno.2020.specialissue6.33-49","DOIUrl":"https://doi.org/10.17993/3ctecno.2020.specialissue6.33-49","url":null,"abstract":"","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"1 1","pages":"33-49"},"PeriodicalIF":0.3,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45225542","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}
Pub Date : 2020-09-14DOI: 10.17993/3CTECNO/2020.V9N3E35.47-57
Freddy Solis, Luis Jimmy Clemente Condori, C. Rodriguez
{"title":"Mix design with response surface methodology to optimize the flexural strength of concrete","authors":"Freddy Solis, Luis Jimmy Clemente Condori, C. Rodriguez","doi":"10.17993/3CTECNO/2020.V9N3E35.47-57","DOIUrl":"https://doi.org/10.17993/3CTECNO/2020.V9N3E35.47-57","url":null,"abstract":"","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"9 1","pages":"47-57"},"PeriodicalIF":0.3,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48204981","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}
Pub Date : 2020-09-14DOI: 10.17993/3CTECNO/2020.V9N3E35.99-109
Freddy Kaseng, Remo Bayona Antúnez, C. Rodriguez
The purpose of this research was to determine an alternative formula for calculating the Darcy coefficient in turbulent flow in pipes. The proposed alternate formula is an explicit formula that should be used to replace the Colebrook-White formula for calculating the Darcy coefficient in turbulent flow in pipes since it has higher precision than the explicit formulas that are currently in use. In this investigation, the alternate formula was compared with two explicit formulas commonly used in pipe design, the Swamee-Jain and Pavlov formulas. To determining which formula is better, all of them were compared with the Colebrook-White formula. For this, the average percentage and maximum percentage errors of the Darcy coefficient values calculated with each of the explicit formulas were determined, with the values obtained with the Colebrook - White formula. It was determined that the maximum errors in the calculation of the Darcy coefficient concerning the Colebrook-White formula were: 3,104% for the Swamee-Jain formula, 7,973% for the Pavlov formula and 2,740% for the alternate formula.
{"title":"Alternate formula for calculating the Darcy Coefficient in turbulent flow in pipes","authors":"Freddy Kaseng, Remo Bayona Antúnez, C. Rodriguez","doi":"10.17993/3CTECNO/2020.V9N3E35.99-109","DOIUrl":"https://doi.org/10.17993/3CTECNO/2020.V9N3E35.99-109","url":null,"abstract":"The purpose of this research was to determine an alternative formula for calculating the Darcy coefficient in turbulent flow in pipes. The proposed alternate formula is an explicit formula that should be used to replace the Colebrook-White formula for calculating the Darcy coefficient in turbulent flow in pipes since it has higher precision than the explicit formulas that are currently in use. In this investigation, the alternate formula was compared with two explicit formulas commonly used in pipe design, the Swamee-Jain and Pavlov formulas. To determining which formula is better, all of them were compared with the Colebrook-White formula. For this, the average percentage and maximum percentage errors of the Darcy coefficient values calculated with each of the explicit formulas were determined, with the values obtained with the Colebrook - White formula. It was determined that the maximum errors in the calculation of the Darcy coefficient concerning the Colebrook-White formula were: 3,104% for the Swamee-Jain formula, 7,973% for the Pavlov formula and 2,740% for the alternate formula.","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"9 1","pages":"99-109"},"PeriodicalIF":0.3,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46089400","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}
Pub Date : 2020-09-14DOI: 10.17993/3CTECNO/2020.V9N3E35.77-97
K. Alvarado, D. Esenarro, Ciro Rodriguez, W. Vásquez
The purpose of the research was to determine the influence of industrial wastewater treatment using the Lemna Minor aquatic plant. Certain varieties of macrophyte plants can absorb or retain various contaminants. Thanks to this, it has been determined that the variety known as Lemna Minor presents this type of property. Three treatment trials were carried out varying the amounts of Lemna Minor (100, 200, and 300g). They are keeping constant the retention time of 10 days that were analyzed at 3, 6, and 10 days after the treatment and with a constant volume of the residual effluent. The results indicate that in terms of the parameters that determine organic contamination, BOD was reduced by (61 %); COD was reduced by (68 %) and the concentration of total suspended solids by (61 %).
{"title":"Lemna minor influence in the treatment of organic pollution of the industrial effluents","authors":"K. Alvarado, D. Esenarro, Ciro Rodriguez, W. Vásquez","doi":"10.17993/3CTECNO/2020.V9N3E35.77-97","DOIUrl":"https://doi.org/10.17993/3CTECNO/2020.V9N3E35.77-97","url":null,"abstract":"The purpose of the research was to determine the influence of industrial wastewater treatment using the Lemna Minor aquatic plant. Certain varieties of macrophyte plants can absorb or retain various contaminants. Thanks to this, it has been determined that the variety known as Lemna Minor presents this type of property. Three treatment trials were carried out varying the amounts of Lemna Minor (100, 200, and 300g). They are keeping constant the retention time of 10 days that were analyzed at 3, 6, and 10 days after the treatment and with a constant volume of the residual effluent. The results indicate that in terms of the parameters that determine organic contamination, BOD was reduced by (61 %); COD was reduced by (68 %) and the concentration of total suspended solids by (61 %).","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"9 1","pages":"77-97"},"PeriodicalIF":0.3,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43574270","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}
Pub Date : 2020-09-14DOI: 10.17993/3CTECNO/2020.V9N3E35.17-45
Héctor Adán Morales Lugo, Patricia Elizabeth Figueroa Millán, N. Mendoza, Ramona Evelia Chávez Valdez
espanolLa horticultura ornamental en Mexico es una industria en crecimiento que requiere la inclusion de diversas tecnologias para automatizar la produccion y comercializacion a fin de incrementar su rentabilidad. Para esto, el analisis de los datos es clave, permitiendo la obtencion de conocimiento para el soporte a la toma de decisiones; no obstante, implica un tiempo exhaustivo de procesamiento de informacion, afectando la productividad de las empresas debido a la falta de un sistema de apoyo a la toma de decisiones que implemente herramientas dinamicas de inteligencia de negocios. Este trabajo de investigacion propone un sistema web de inteligencia de negocios para la creacion de herramientas dinamicas y ejecucion de consultas asincronas a la base de datos; lo cual, proporciona un analisis de la informacion historica de la comercializacion de plantas ornamentales mediante tablas, graficas y reportes. Esta desarrollado utilizando la metodologia PUA, el lenguaje de programacion Python y el framework Django, empleando un enfoque innovador al aplicar el algoritmo DFS como mecanismo de busqueda para determinar la relacion existente entre las tablas de la base de datos, reduciendo tiempo de extraccion, procesamiento, analisis y presentacion de informacion. Como resultado se logro mejorar el aprovechamiento de la informacion historica, eficientar el procesamiento y analisis de la informacion de comercializacion y, por consiguiente, mejorar los procesos de toma de decisiones. EnglishOrnamental horticulture in Mexico is a growing industry that requires the inclusion of various technologies to automate production and marketing in order to increase its profitability. For this, data analysis is key, allowing obtaining knowledge to support decision-making; However, it involves exhaustive information processing time, affecting the productivity of companies due to the lack of a decision support system that implements dynamic business intelligence tools. This research work proposes a business intelligence web system for the creation of dynamic tools and execution of asynchronous queries to the database; which provides an analysis of the historical information on the commercialization of ornamental plants through tables, graphs and reports. It is developed using the PUA methodology, the Python programming language and the Django framework, employing an innovative approach by applying the DFS algorithm as a search mechanism to determine the relationship between the database tables, reducing extraction time, processing , analysis and presentation of information. As a result, it was possible to improve the use of historical information, streamline the processing and analysis of marketing information and, consequently, improve decision-making processes.
{"title":"Sistema de inteligencia de negocios para soporte de decisiones en la comercialización de plantas ornamentales","authors":"Héctor Adán Morales Lugo, Patricia Elizabeth Figueroa Millán, N. Mendoza, Ramona Evelia Chávez Valdez","doi":"10.17993/3CTECNO/2020.V9N3E35.17-45","DOIUrl":"https://doi.org/10.17993/3CTECNO/2020.V9N3E35.17-45","url":null,"abstract":"espanolLa horticultura ornamental en Mexico es una industria en crecimiento que requiere la inclusion de diversas tecnologias para automatizar la produccion y comercializacion a fin de incrementar su rentabilidad. Para esto, el analisis de los datos es clave, permitiendo la obtencion de conocimiento para el soporte a la toma de decisiones; no obstante, implica un tiempo exhaustivo de procesamiento de informacion, afectando la productividad de las empresas debido a la falta de un sistema de apoyo a la toma de decisiones que implemente herramientas dinamicas de inteligencia de negocios. Este trabajo de investigacion propone un sistema web de inteligencia de negocios para la creacion de herramientas dinamicas y ejecucion de consultas asincronas a la base de datos; lo cual, proporciona un analisis de la informacion historica de la comercializacion de plantas ornamentales mediante tablas, graficas y reportes. Esta desarrollado utilizando la metodologia PUA, el lenguaje de programacion Python y el framework Django, empleando un enfoque innovador al aplicar el algoritmo DFS como mecanismo de busqueda para determinar la relacion existente entre las tablas de la base de datos, reduciendo tiempo de extraccion, procesamiento, analisis y presentacion de informacion. Como resultado se logro mejorar el aprovechamiento de la informacion historica, eficientar el procesamiento y analisis de la informacion de comercializacion y, por consiguiente, mejorar los procesos de toma de decisiones. EnglishOrnamental horticulture in Mexico is a growing industry that requires the inclusion of various technologies to automate production and marketing in order to increase its profitability. For this, data analysis is key, allowing obtaining knowledge to support decision-making; However, it involves exhaustive information processing time, affecting the productivity of companies due to the lack of a decision support system that implements dynamic business intelligence tools. This research work proposes a business intelligence web system for the creation of dynamic tools and execution of asynchronous queries to the database; which provides an analysis of the historical information on the commercialization of ornamental plants through tables, graphs and reports. It is developed using the PUA methodology, the Python programming language and the Django framework, employing an innovative approach by applying the DFS algorithm as a search mechanism to determine the relationship between the database tables, reducing extraction time, processing , analysis and presentation of information. As a result, it was possible to improve the use of historical information, streamline the processing and analysis of marketing information and, consequently, improve decision-making processes.","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"9 1","pages":"17-45"},"PeriodicalIF":0.3,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67542491","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}
Pub Date : 2020-09-14DOI: 10.17993/3CTECNO/2020.V9N3E35.59-75
Richa Tiwari, D. Nagaria, R. Kumar
For the designing of any network, lifetime and size of the network are the most important parameters in addition to that high data rate and low bit error rate also play an important role in the designing of any sensor network. In this paper, new transmission techniques for the transmission of sensors data has been proposed for sensor networks by combining various modulation and coding techniques into the network transmission. The proposed technique is used to improve the Bit Error Rate performance of the wireless sensor network, in most of the wireless sensor networks ,bits are converted into packets and these packets are transmitted from source to destination during that transmission the quality of physical layer is determined by the Bit Error Rate (BER) and the Packet Delivery Rate (PDR). The physical layer deals with transmission of bits over wireless link the designing constraints of this layer is modulation, diversity and coding. In this paper various modulation, coding and diversity techniques are incorporated into sensor network for reducing Bit Error Rate (BER). The proposed system divides the network into two types of nodes, first one is the sensor nodes, equipped with short distance transmission capability and another one is special nodes that are equipped with modulators and coders for transmitting data over long distance. This proposed system also extended for providing the secured data transmission by the use of various error detection and correction codes.
{"title":"A novel method for improving Bit Error Rate in sensor networks by using Orthogonal Space Time Block Code (OSTBC) coding","authors":"Richa Tiwari, D. Nagaria, R. Kumar","doi":"10.17993/3CTECNO/2020.V9N3E35.59-75","DOIUrl":"https://doi.org/10.17993/3CTECNO/2020.V9N3E35.59-75","url":null,"abstract":"For the designing of any network, lifetime and size of the network are the most important parameters in addition to that high data rate and low bit error rate also play an important role in the designing of any sensor network. In this paper, new transmission techniques for the transmission of sensors data has been proposed for sensor networks by combining various modulation and coding techniques into the network transmission. The proposed technique is used to improve the Bit Error Rate performance of the wireless sensor network, in most of the wireless sensor networks ,bits are converted into packets and these packets are transmitted from source to destination during that transmission the quality of physical layer is determined by the Bit Error Rate (BER) and the Packet Delivery Rate (PDR). The physical layer deals with transmission of bits over wireless link the designing constraints of this layer is modulation, diversity and coding. In this paper various modulation, coding and diversity techniques are incorporated into sensor network for reducing Bit Error Rate (BER). The proposed system divides the network into two types of nodes, first one is the sensor nodes, equipped with short distance transmission capability and another one is special nodes that are equipped with modulators and coders for transmitting data over long distance. This proposed system also extended for providing the secured data transmission by the use of various error detection and correction codes.","PeriodicalId":41375,"journal":{"name":"3c Tecnologia","volume":"9 1","pages":"59-75"},"PeriodicalIF":0.3,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41957749","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}