3C Empresa. Investigación y pensamiento crítico最新文献_第5页

Optimal reservoir operation policy determination for uncertainty conditions 不确定条件下油藏最优调度策略的确定

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-12-29 DOI: 10.17993/3cemp.2022.110250.277-295

S. Choudhari, M. Kumbhalkar, D. V. Bhise, M. Sardeshmukh

{"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}

引用次数: 4

Two-commodity perishable inventory system with partial backlog demands. 具有部分积压需求的双商品易腐库存系统。

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-12-29 DOI: 10.17993/3cemp.2022.110250.33-48

N. Anbazhagan, B. Sivakumar, S. Amutha, S. Suganya

引用次数: 0

Retrieving the Missing Data From Different Incomplete Soft Sets 不同不完全软集中缺失数据的检索

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-12-29 DOI: 10.17993/3cemp.2022.110250.104-114

J. Srivastava, Sudhir Maddheshiya

引用次数: 1

A secured architecture for IoT-based healthcare system 基于物联网的医疗保健系统的安全架构

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-12-29 DOI: 10.17993/3cemp.2022.110250.222-230

Palak Barapatre, Yash Ingolikar, Prajakta Desai, Pooja Jajoo, Prasheel N. Thakre

引用次数: 4

Empirical analysis of machine learning-based energy efficient cloud load balancing architectures: a quantitative perspective 基于机器学习的节能云负载平衡架构的实证分析:定量视角

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-12-29 DOI: 10.17993/3cemp.2022.110250.232-248

K.R. Singh, A. D. Gaikwad, S. Kamble

{"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}

引用次数: 1

Análisis exploratorio espacial del índice de feminización de las ocupaciones militares en las demandas de empleo 军事职业女性化率在就业需求中的空间探索性分析

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-02-24 DOI: 10.17993/3cemp.2022.110149.45-65

Ángel Manzanares Gutiérrez, Catalina Nicolás Martínez, Cesar García Pina

引用次数: 0

Empresas y prevención del lavado de dinero en México 墨西哥的商业和防止洗钱

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-02-24 DOI: 10.17993/3cemp.2022.110149.67-83

Germán Martínez Prats, Yazmín Isolda Álvarez García, Francisca Silva Hernández

引用次数: 0

Midiendo el impacto de los envases en el vino, un estudio de neuromarketing 测量包装对葡萄酒的影响，一项神经营销研究

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-02-24 DOI: 10.17993/3cemp.2022.110149.17-43

Daniel Serrano Agudelo, Magdalena Lomello, Ana Mengual Recuerda, David Juárez Varón

引用次数: 0

Consumer empowerment in the digital media marketing age: a comparative literature review and trends across selected countries 数字媒体营销时代的消费者赋权:比较文献综述和选定国家的趋势

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-02-24 DOI: 10.17993/3cemp.2022.110149.149-177

Sanya Shahid, J. Qureshi

{"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}

引用次数: 3

Inteligencia Emocional y desempeño de colaboradores en empresa tecnológica en Lima 利马一家科技公司的情商和员工表现

3C Empresa. Investigación y pensamiento crítico Pub Date : 2022-02-24 DOI: 10.17993/3cemp.2022.110149.119-147

Karina Raquel Bartra Rivero, Olga Lucía Torres Rubiano, Miguel Sebastián Armesto Céspedes

引用次数: 0