Pub Date : 2022-12-29DOI: 10.17993/3cemp.2022.110250.277-295
S. Choudhari, M. Kumbhalkar, D. V. Bhise, M. Sardeshmukh
In recent years, optimising reservoir operations has emerged as a hot topic in the field of water resources management. Heuristic approaches to reservoir operation that incorporate rule curves and, to some extent, operator discretion have been the norm in the past. With so many stakeholders involved in water management, it can be difficult to strike a happy medium between everyone's needs and wants. The dissertation proposes a method for transforming traditional reservoir operation into optimal strategies, allowing users to take advantage of the rapid development of computational techniques. This research creates and applies a Multi Objective Fuzzy Linear Programming (MOFLP) model to the monthly operating policies of the stage-I Jayakwadi reservoir located on the Godavari, the largest river in the Indian state of Maharashtra. In order to formulate the problem, we use two objective functions—maximizing irrigation releases and maximising power production releases. The constraints of the study are considered, including turbine release, irrigation demand, reservoir storage capacity, and continuity of reservoir storage. Utilizing linear membership functions, the objective functions are fuzzily defined. All other model parameters except for the goals are assumed to be hard and fast rules. Maximum Happiness Operating Policy (MOFLP) was used to determine the best course of action.
{"title":"Optimal reservoir operation policy determination for uncertainty conditions","authors":"S. Choudhari, M. Kumbhalkar, D. V. Bhise, M. Sardeshmukh","doi":"10.17993/3cemp.2022.110250.277-295","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110250.277-295","url":null,"abstract":"In recent years, optimising reservoir operations has emerged as a hot topic in the field of water resources management. Heuristic approaches to reservoir operation that incorporate rule curves and, to some extent, operator discretion have been the norm in the past. With so many stakeholders involved in water management, it can be difficult to strike a happy medium between everyone's needs and wants. The dissertation proposes a method for transforming traditional reservoir operation into optimal strategies, allowing users to take advantage of the rapid development of computational techniques. This research creates and applies a Multi Objective Fuzzy Linear Programming (MOFLP) model to the monthly operating policies of the stage-I Jayakwadi reservoir located on the Godavari, the largest river in the Indian state of Maharashtra. In order to formulate the problem, we use two objective functions—maximizing irrigation releases and maximising power production releases. The constraints of the study are considered, including turbine release, irrigation demand, reservoir storage capacity, and continuity of reservoir storage. Utilizing linear membership functions, the objective functions are fuzzily defined. All other model parameters except for the goals are assumed to be hard and fast rules. Maximum Happiness Operating Policy (MOFLP) was used to determine the best course of action.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124956652","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 : 2022-12-29DOI: 10.17993/3cemp.2022.110250.33-48
N. Anbazhagan, B. Sivakumar, S. Amutha, S. Suganya
This article examines a two-commodity continuous review perishable inventory system. The demands are arrived at for each product by independent Markovian arrival processes (MAP). Lifetimes follow an exponential distribution. The commodities are assumed to be substitutable. If both commodities have reached zero, demand is backlogged up to predetermined levels. This article’s novelty has been a local purchase, which is made to clear the backlog instantaneously when demand reaches a predetermined level. In the steady-state, the joint probability distribution of inventory levels of both commodities is obtained. Several metrics of system performance in steady-state are derived and also provided as numerical examples to explain the optimum values of the system’s parameters.
{"title":"Two-commodity perishable inventory system with partial backlog demands.","authors":"N. Anbazhagan, B. Sivakumar, S. Amutha, S. Suganya","doi":"10.17993/3cemp.2022.110250.33-48","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110250.33-48","url":null,"abstract":"This article examines a two-commodity continuous review perishable inventory system. The demands are arrived at for each product by independent Markovian arrival processes (MAP). Lifetimes follow an exponential distribution. The commodities are assumed to be substitutable. If both commodities have reached zero, demand is backlogged up to predetermined levels. This article’s novelty has been a local purchase, which is made to clear the backlog instantaneously when demand reaches a predetermined level. In the steady-state, the joint probability distribution of inventory levels of both commodities is obtained. Several metrics of system performance in steady-state are derived and also provided as numerical examples to explain the optimum values of the system’s parameters.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124527642","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 : 2022-12-29DOI: 10.17993/3cemp.2022.110250.104-114
J. Srivastava, Sudhir Maddheshiya
Dealing an incomplete information has been a major issue in the theory of soft sets. In this paper, we have presented an approach to deal with incomplete soft set, incomplete fuzzy soft set and incomplete intuitionistic fuzzy soft set. For this purpose we have discussed about the notion of distance between two objects (parameters) which will be used to compute the degree of interdependence between them. This approach will use the full information of known data and the relationships between them. Data filling converts an incomplete soft set into complete one which makes the soft sets applicable not only to decision making but also to other fields.
{"title":"Retrieving the Missing Data From Different Incomplete Soft Sets","authors":"J. Srivastava, Sudhir Maddheshiya","doi":"10.17993/3cemp.2022.110250.104-114","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110250.104-114","url":null,"abstract":"Dealing an incomplete information has been a major issue in the theory of soft sets. In this paper, we have presented an approach to deal with incomplete soft set, incomplete fuzzy soft set and incomplete intuitionistic fuzzy soft set. For this purpose we have discussed about the notion of distance between two objects (parameters) which will be used to compute the degree of interdependence between them. This approach will use the full information of known data and the relationships between them. Data filling converts an incomplete soft set into complete one which makes the soft sets applicable not only to decision making but also to other fields.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123237465","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}
Healthcare has gradually moved away from the model centered on traditional health centers due to the emergence of highly accurate sensors and Internet of Things (IoT) enabled medical equipment. Ambient intelligence takes whatever actions are required in response to a recognized event in order to enable continuous learning about patient data. The capabilities of IoT-assisted healthcare services might be improved by incorporating autonomous control and human-computer interface (HCI) technologies into ambient intelligence. Major unsolved issues include the privacy and security of information collected by medical IoT devices, both during transmission to and during cloud storage. This research explores different techniques, IoT factors, and features, with an emphasis on the data security concerns connected to data flow in medical IoT. In order to guarantee data security and privacy at all data levels, this study suggests a safe design for the IoT healthcare system.
{"title":"A secured architecture for IoT-based healthcare system","authors":"Palak Barapatre, Yash Ingolikar, Prajakta Desai, Pooja Jajoo, Prasheel N. Thakre","doi":"10.17993/3cemp.2022.110250.222-230","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110250.222-230","url":null,"abstract":"Healthcare has gradually moved away from the model centered on traditional health centers due to the emergence of highly accurate sensors and Internet of Things (IoT) enabled medical equipment. Ambient intelligence takes whatever actions are required in response to a recognized event in order to enable continuous learning about patient data. The capabilities of IoT-assisted healthcare services might be improved by incorporating autonomous control and human-computer interface (HCI) technologies into ambient intelligence. Major unsolved issues include the privacy and security of information collected by medical IoT devices, both during transmission to and during cloud storage. This research explores different techniques, IoT factors, and features, with an emphasis on the data security concerns connected to data flow in medical IoT. In order to guarantee data security and privacy at all data levels, this study suggests a safe design for the IoT healthcare system.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122730432","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 : 2022-12-29DOI: 10.17993/3cemp.2022.110250.232-248
K.R. Singh, A. D. Gaikwad, S. Kamble
Design of energy efficient load balancing models in cloud environments requires in-depth analysis of the cloud architecture and nature of requests served by the cloud. Depending upon these parameters, machine learning models are designed which aim at assigning best possible resource combination to serve the given tasks. This assignment varies w.r.t. multiple task and cloud parameters; which include task time, virtual machine (VM) performance, task deadline, energy consumption, etc. In order to perform this task, a wide variety of algorithms are developed by researchers cloud designers. Each of these algorithms aim at optimizing certain load balancing related parameters; for instance, a Genetic Algorithm (GA) designed for optimization of VM utilization might not consider task deadline before task allocation to the VMs. While, algorithms aimed at performing deadline aware load balancing might not provide effective cloud-to-task-mapping before allocation of tasks. Thus, it becomes difficult for researchers to select the best possible algorithms for their cloud deployment. In order to reduce this ambiguity, the underlying text compares different energy efficient cloud load balancing algorithms; and evaluates their performance in terms of computational complexity, and relative energy efficiency. This performance evaluation is further extended via inter architecture comparison; in order to evaluate the most optimum load balancer implementation for a given energy efficient application. Thus, after referring this text, researchers and cloud system designers will be able to select optimum algorithmic implementations for their given deployment. This will assist in reducing cloud deployment delay, and improving application specific load balancer performance.
{"title":"Empirical analysis of machine learning-based energy efficient cloud load balancing architectures: a quantitative perspective","authors":"K.R. Singh, A. D. Gaikwad, S. Kamble","doi":"10.17993/3cemp.2022.110250.232-248","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110250.232-248","url":null,"abstract":"Design of energy efficient load balancing models in cloud environments requires in-depth analysis of the cloud architecture and nature of requests served by the cloud. Depending upon these parameters, machine learning models are designed which aim at assigning best possible resource combination to serve the given tasks. This assignment varies w.r.t. multiple task and cloud parameters; which include task time, virtual machine (VM) performance, task deadline, energy consumption, etc. In order to perform this task, a wide variety of algorithms are developed by researchers cloud designers. Each of these algorithms aim at optimizing certain load balancing related parameters; for instance, a Genetic Algorithm (GA) designed for optimization of VM utilization might not consider task deadline before task allocation to the VMs. While, algorithms aimed at performing deadline aware load balancing might not provide effective cloud-to-task-mapping before allocation of tasks. Thus, it becomes difficult for researchers to select the best possible algorithms for their cloud deployment. In order to reduce this ambiguity, the underlying text compares different energy efficient cloud load balancing algorithms; and evaluates their performance in terms of computational complexity, and relative energy efficiency. This performance evaluation is further extended via inter architecture comparison; in order to evaluate the most optimum load balancer implementation for a given energy efficient application. Thus, after referring this text, researchers and cloud system designers will be able to select optimum algorithmic implementations for their given deployment. This will assist in reducing cloud deployment delay, and improving application specific load balancer performance.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134510742","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 : 2022-02-24DOI: 10.17993/3cemp.2022.110149.45-65
Ángel Manzanares Gutiérrez, Catalina Nicolás Martínez, Cesar García Pina
{"title":"Análisis exploratorio espacial del índice de feminización de las ocupaciones militares en las demandas de empleo","authors":"Ángel Manzanares Gutiérrez, Catalina Nicolás Martínez, Cesar García Pina","doi":"10.17993/3cemp.2022.110149.45-65","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110149.45-65","url":null,"abstract":"","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130858789","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 : 2022-02-24DOI: 10.17993/3cemp.2022.110149.67-83
Germán Martínez Prats, Yazmín Isolda Álvarez García, Francisca Silva Hernández
{"title":"Empresas y prevención del lavado de dinero en México","authors":"Germán Martínez Prats, Yazmín Isolda Álvarez García, Francisca Silva Hernández","doi":"10.17993/3cemp.2022.110149.67-83","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110149.67-83","url":null,"abstract":"","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121809150","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 : 2022-02-24DOI: 10.17993/3cemp.2022.110149.17-43
Daniel Serrano Agudelo, Magdalena Lomello, Ana Mengual Recuerda, David Juárez Varón
{"title":"Midiendo el impacto de los envases en el vino, un estudio de neuromarketing","authors":"Daniel Serrano Agudelo, Magdalena Lomello, Ana Mengual Recuerda, David Juárez Varón","doi":"10.17993/3cemp.2022.110149.17-43","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110149.17-43","url":null,"abstract":"","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116705096","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 : 2022-02-24DOI: 10.17993/3cemp.2022.110149.149-177
Sanya Shahid, J. Qureshi
Globally, environment and consumer interactions are rapidly changing due to digital technologies and digital media marketing. The introduction of new digital technologies and the complexity it has brought about has led to a change in the old marketing paradigm. Traditional consumer dynamics have evolved drastically with innovative ways to interact, communicate and connect with consumers supported by digital technologies. With the progression of new age digital marketing mediums communication practices have transformed and consumers have become empowered, which has led to a shift in the balance of power towards consumers. Consumer empowerment is considered as an integrated factor which promotes adoption of digital media as it allows a consumer to communicate and share views with others. With the increased user-generated content available online, there has been a shift of power from practitioners to consumers and as such it is an important factor in the adoption of digital media. This paper applied a semi-systematic comparative literature review about the elements of digital media that lead to consumer empowerment in the context of Pakistan, and compared them with China, South Korea, and Mexico, which are the highest spending countries in digital advertising in 2021. It was found that in comparison with China and South Korea, Pakistani and Mexican brands and organizations were not well equipped to meet the multifaceted challenges of digital transformation.
{"title":"Consumer empowerment in the digital media marketing age: a comparative literature review and trends across selected countries","authors":"Sanya Shahid, J. Qureshi","doi":"10.17993/3cemp.2022.110149.149-177","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110149.149-177","url":null,"abstract":"Globally, environment and consumer interactions are rapidly changing due to digital technologies and digital media marketing. The introduction of new digital technologies and the complexity it has brought about has led to a change in the old marketing paradigm. Traditional consumer dynamics have evolved drastically with innovative ways to interact, communicate and connect with consumers supported by digital technologies. With the progression of new age digital marketing mediums communication practices have transformed and consumers have become empowered, which has led to a shift in the balance of power towards consumers. Consumer empowerment is considered as an integrated factor which promotes adoption of digital media as it allows a consumer to communicate and share views with others. With the increased user-generated content available online, there has been a shift of power from practitioners to consumers and as such it is an important factor in the adoption of digital media. This paper applied a semi-systematic comparative literature review about the elements of digital media that lead to consumer empowerment in the context of Pakistan, and compared them with China, South Korea, and Mexico, which are the highest spending countries in digital advertising in 2021. It was found that in comparison with China and South Korea, Pakistani and Mexican brands and organizations were not well equipped to meet the multifaceted challenges of digital transformation.","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129108921","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 : 2022-02-24DOI: 10.17993/3cemp.2022.110149.119-147
Karina Raquel Bartra Rivero, Olga Lucía Torres Rubiano, Miguel Sebastián Armesto Céspedes
{"title":"Inteligencia Emocional y desempeño de colaboradores en empresa tecnológica en Lima","authors":"Karina Raquel Bartra Rivero, Olga Lucía Torres Rubiano, Miguel Sebastián Armesto Céspedes","doi":"10.17993/3cemp.2022.110149.119-147","DOIUrl":"https://doi.org/10.17993/3cemp.2022.110149.119-147","url":null,"abstract":"","PeriodicalId":365908,"journal":{"name":"3C Empresa. Investigación y pensamiento crítico","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125679791","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}
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