Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.17
K. Manoj, Patidar Manish, S. Narendra
. Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.
{"title":"Optimized MIMO Based Enhanced OFDM for Multi Carrier System with 5G Waveforms","authors":"K. Manoj, Patidar Manish, S. Narendra","doi":"10.24818/18423264/57.2.23.17","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.17","url":null,"abstract":". Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation technology that uses many subcarriers inside a single channel to broaden the notion of single subcarrier modulation. Because of its high-power transmission, the above approach produces out-of-band radiation. Therefore, a novel model named MIMO based enhanced OFDM communication system is introduced. In which random data bits are generated by a random data source, which is mapped using QPSK. Furthermore, to alleviate the carrier interference in MIMO-OFDM a novel Multi carrier interference mitigation method is presented. In which the Fourier, ICI estimation is done to separate the signal to time and frequency variant. Therefore, a novel Deep Frequency Time Offset estimation approach is created with two successive layers, and a Deep Neural Network (DNN) is used to estimate the residual carrier frequency offset and symbol timing offset. This reduces the time and frequency offset inaccuracy. Additionally, to alleviate out-of-band problems, a novel Low Complex Equalised demodulating approach is introduced. In which an extension windowing procedure is performed after adding CP, significantly reducing side lobe power and simplifying the process. Thus, the proposed OFDM carriers all the signal and transmits and receives with low out-of-band, carrier frequency offset in an efficient and equalised manner without any error and losses.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46248840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. The growth of e-commerce has significantly contributed to the increase in demand for express and parcel services. The aim of this paper is to create a price elasticity methodology and forecasting demand for express and parcel services. In that sense, to describe the dynamics of demand for parcel and express services, the Lotka-Volterra method and the Holt-Winters method were used. Then, users’ preferences in the express and parcel services were investigated through a survey. Based on the results obtained, a simulation model for the price elasticity of the demand for these services was developed. The developed model of the price elasticity of demand enabled us to notice the potential to increase the revenue of the Public Postal Operator.
{"title":"Demand Modelling and Forecasting the Future Development of Parcel and Express Services","authors":"Cacic Natasa, Jovanović Bojan, Sarac Dragana, Trubint Nikola, Dudak Ljubica, Blagojevic Mladenka","doi":"10.24818/18423264/57.2.23.16","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.16","url":null,"abstract":". The growth of e-commerce has significantly contributed to the increase in demand for express and parcel services. The aim of this paper is to create a price elasticity methodology and forecasting demand for express and parcel services. In that sense, to describe the dynamics of demand for parcel and express services, the Lotka-Volterra method and the Holt-Winters method were used. Then, users’ preferences in the express and parcel services were investigated through a survey. Based on the results obtained, a simulation model for the price elasticity of the demand for these services was developed. The developed model of the price elasticity of demand enabled us to notice the potential to increase the revenue of the Public Postal Operator.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43259425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.11
Marinaş Marius-Corneliu, Iacob Pirscoveanu Laura-Madalina, Trasca Daniela Livia, Stefan George Marian, Arzhynt Inna
In this study, we aimed to assess the degree of business cycle synchronisation in five CEE countries that have not adopted the euro (Romania, Bulgaria, Hungary, Poland and the Czech Republic), from the perspective of investigating similar developments with the three most important countries of the monetary union (Germany, France and Italy), respectively, with the peripheral countries most affected by the sovereign debt crisis (Greece, Portugal and Spain). The results confirm that membership of the monetary union does not automatically reduce the potential for asymmetric shocks, as in the case of peripheral countries, and that CEE countries do not have a similar path of improving business cycle synchronisation, with Romania and Bulgaria being closer to the Greek experience.
{"title":"Business Cycle Synchronization of CEE Countries with the Euro Area. Between Core and Periphery","authors":"Marinaş Marius-Corneliu, Iacob Pirscoveanu Laura-Madalina, Trasca Daniela Livia, Stefan George Marian, Arzhynt Inna","doi":"10.24818/18423264/57.2.23.11","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.11","url":null,"abstract":"In this study, we aimed to assess the degree of business cycle synchronisation in five CEE countries that have not adopted the euro (Romania, Bulgaria, Hungary, Poland and the Czech Republic), from the perspective of investigating similar developments with the three most important countries of the monetary union (Germany, France and Italy), respectively, with the peripheral countries most affected by the sovereign debt crisis (Greece, Portugal and Spain). The results confirm that membership of the monetary union does not automatically reduce the potential for asymmetric shocks, as in the case of peripheral countries, and that CEE countries do not have a similar path of improving business cycle synchronisation, with Romania and Bulgaria being closer to the Greek experience.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49397433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.10
STOICA Marian, MIRCEA Marinela, LIXANDRU Ion-Danut
{"title":"A Cyber Dimension to the Circular Economy – The Model of External Complementarity in Consumer Behaviour","authors":"STOICA Marian, MIRCEA Marinela, LIXANDRU Ion-Danut","doi":"10.24818/18423264/57.2.23.10","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.10","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136355758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.02
Bolos Marcel Ioan, SABAU-POPA Claudia Diana, Rus Luminita
. The paper aims to shape the companies' production stocks using fuzzy neutrosophic numbers. The stock modeling using neutrosophic and triangular fuzzy numbers improves the company's financial performance, new indicators being proposed, such as: the optimal quantity of stocks, the cost minimization function, the cost of placing order, and the cost of storing a purchased unit of product. The significant advantage of shaping stocks management using fuzzy neutrosophic numbers is that it allows companies to determine the optimal quantities of stocks to be supplied using nonlinear mathematical programming algorithms. The innovative models for determining the optimal quantity of stocks are structured in two categories, namely: optimal stock supply models with fuzzy neutrosophic variables, with a single product, a constant demand, with out-of-stock, as well as models of optimal supply of stocks, with fuzzy neutrosophic variables, with several products, a constant demand and with out-of-stock. Both models use algorithms specific to nonlinear mathematical programming and provide a complete picture of the companies' stocks acquisition strategies needed for its operational activity. Finally, the results obtained from the modeling/simulation validate the operationalisation of the stock models presented and the modern foundation of companies' decisions on stock performance indicators.
{"title":"Optimal Management of Production Stocks with the Neutrosophic Fuzzy Numbers","authors":"Bolos Marcel Ioan, SABAU-POPA Claudia Diana, Rus Luminita","doi":"10.24818/18423264/57.2.23.02","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.02","url":null,"abstract":". The paper aims to shape the companies' production stocks using fuzzy neutrosophic numbers. The stock modeling using neutrosophic and triangular fuzzy numbers improves the company's financial performance, new indicators being proposed, such as: the optimal quantity of stocks, the cost minimization function, the cost of placing order, and the cost of storing a purchased unit of product. The significant advantage of shaping stocks management using fuzzy neutrosophic numbers is that it allows companies to determine the optimal quantities of stocks to be supplied using nonlinear mathematical programming algorithms. The innovative models for determining the optimal quantity of stocks are structured in two categories, namely: optimal stock supply models with fuzzy neutrosophic variables, with a single product, a constant demand, with out-of-stock, as well as models of optimal supply of stocks, with fuzzy neutrosophic variables, with several products, a constant demand and with out-of-stock. Both models use algorithms specific to nonlinear mathematical programming and provide a complete picture of the companies' stocks acquisition strategies needed for its operational activity. Finally, the results obtained from the modeling/simulation validate the operationalisation of the stock models presented and the modern foundation of companies' decisions on stock performance indicators.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48413443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.03
RASHID Abdullah Mohammed, MIDI Habshah
{"title":"Improved nu-Support Vector Regression Algorithm Based on Principal Component Analysis","authors":"RASHID Abdullah Mohammed, MIDI Habshah","doi":"10.24818/18423264/57.2.23.03","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.03","url":null,"abstract":"","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135045813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.18
Banihashemi Sayyid Ali, Khalilzadeh Mohammad
. The evaluation of organisational performance and internal power is of the most significance for any organisation. The purpose of this paper is to present a hybrid approach using Network Data Envelopment Analysis (NDEA), BSC, and Game Theory to evaluate the performance of decision-making units. To evaluate the efficiency of each decision-making unit, the relationship between different departments within an organisation is modeled based on the BSC indicators (growth and learning perspective, internal processes perspective, customer perspective, and financial perspective). Also, the influence of each of the BSC indicators on the efficiency of the decision-making units is examined using Game Theory and Stackelberg Theory. Moreover, the indicators related to each aspect of the BSC are expressed as input/output to determine performance. The proposed model has been implemented in 15 different cement factories based on the information obtained in 2021. The results reveal that the customer perspective has the greatest impact on the performance of the entire organisation and plays a crucial leading role in the organisation. Among the followers, the perspective of internal processes that is influenced by the leader strategy (customer perspective) is ranked first, and the perspectives of growth, learning, and finance are ranked second, third, and fourth, respectively. This research facilitates managerial decision-making for the optimal allocation of resources to increase the performance and profitability of the organisation.
{"title":"Performance Evaluation Optimization Model with a Hybrid Approach of NDEA-BSC and Stackelberg Game Theory in the Presence of Bad Data","authors":"Banihashemi Sayyid Ali, Khalilzadeh Mohammad","doi":"10.24818/18423264/57.2.23.18","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.18","url":null,"abstract":". The evaluation of organisational performance and internal power is of the most significance for any organisation. The purpose of this paper is to present a hybrid approach using Network Data Envelopment Analysis (NDEA), BSC, and Game Theory to evaluate the performance of decision-making units. To evaluate the efficiency of each decision-making unit, the relationship between different departments within an organisation is modeled based on the BSC indicators (growth and learning perspective, internal processes perspective, customer perspective, and financial perspective). Also, the influence of each of the BSC indicators on the efficiency of the decision-making units is examined using Game Theory and Stackelberg Theory. Moreover, the indicators related to each aspect of the BSC are expressed as input/output to determine performance. The proposed model has been implemented in 15 different cement factories based on the information obtained in 2021. The results reveal that the customer perspective has the greatest impact on the performance of the entire organisation and plays a crucial leading role in the organisation. Among the followers, the perspective of internal processes that is influenced by the leader strategy (customer perspective) is ranked first, and the perspectives of growth, learning, and finance are ranked second, third, and fourth, respectively. This research facilitates managerial decision-making for the optimal allocation of resources to increase the performance and profitability of the organisation.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41459872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.05
Cetină Iuliana, Vinerean Simona, Opreana Alin, Radulescu Violeta, Popa Mircea
. Due to technological progress, consumers are impacted by social media interactions at various stages of their decision-making process. Thus, social media WOM plays a critical role in influencing consumer behaviour. This study aims to investigate the impacts of consumer satisfaction, brand familiarity
{"title":"Examining Key Drivers of Social Media WOM – A SEM Approach","authors":"Cetină Iuliana, Vinerean Simona, Opreana Alin, Radulescu Violeta, Popa Mircea","doi":"10.24818/18423264/57.2.23.05","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.05","url":null,"abstract":". Due to technological progress, consumers are impacted by social media interactions at various stages of their decision-making process. Thus, social media WOM plays a critical role in influencing consumer behaviour. This study aims to investigate the impacts of consumer satisfaction, brand familiarity","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48063941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.14
Mester Ioana Teodora, Mester Liana Eugenia, Fora Andreea Florina
. The objective of this paper is to investigate the relationship between economic growth, CO 2 emissions, trade openness index, as well as the renewable energy consumption in Eastern European countries. The panel ARDL approach is used to reveal the long-and short-run impact of the selected variables on GDP per capita. Stationarity tests reveal that variables are I(0) and I(1), panel cointegration test confirm the long-run equilibrium between the variables, which enables us the use of panel ARDL methodology. The model reveals that in the long run there is a significant relationship between the dependent variable and all the exogenous ones for the selected countries. The Dumitrescu Hurlin causality test confirms the feedback causality between economic growth and trade openness, renewable energy consumption, and economic growth and unilateral causality running from CO 2 emissions to economic growth.
{"title":"Exploring the Relationship between Economic Growth, Trade Openness, CO2 Emissions, and Renewable Energy: Evidence from Eastern European Countries","authors":"Mester Ioana Teodora, Mester Liana Eugenia, Fora Andreea Florina","doi":"10.24818/18423264/57.2.23.14","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.14","url":null,"abstract":". The objective of this paper is to investigate the relationship between economic growth, CO 2 emissions, trade openness index, as well as the renewable energy consumption in Eastern European countries. The panel ARDL approach is used to reveal the long-and short-run impact of the selected variables on GDP per capita. Stationarity tests reveal that variables are I(0) and I(1), panel cointegration test confirm the long-run equilibrium between the variables, which enables us the use of panel ARDL methodology. The model reveals that in the long run there is a significant relationship between the dependent variable and all the exogenous ones for the selected countries. The Dumitrescu Hurlin causality test confirms the feedback causality between economic growth and trade openness, renewable energy consumption, and economic growth and unilateral causality running from CO 2 emissions to economic growth.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42918702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.24818/18423264/57.2.23.06
Cozgarea Adrian Nicolae, Cozgarea Gabriel, Boldeanu Dana Maria, Pugna Irina, Gheorghe Mirela
. The aim of this paper is to demonstrate the usefulness of supervised machine learning algorithms in predicting the profitability of Romanian companies applying International Financial Reporting Standards (IFRS), both by regression and classification methods. The algorithms used in this research are linear regression (LinR), logistic regression (LogR), decision tree (DT), random forest (RF), K-nearest neighbor (KNN), and multi-layer perceptron (MLP). The results showed that both methods can produce models with high accuracy in profitability prediction. Thus, for regression, the best estimates were generated by the MLP model, and for classification, by the RF model. These results can be used to obtain sustainable models for predicting economic and financial performance, with a major impact on the management decisions of companies.
{"title":"Predicting Economic and Financial Performance through Machine Learning","authors":"Cozgarea Adrian Nicolae, Cozgarea Gabriel, Boldeanu Dana Maria, Pugna Irina, Gheorghe Mirela","doi":"10.24818/18423264/57.2.23.06","DOIUrl":"https://doi.org/10.24818/18423264/57.2.23.06","url":null,"abstract":". The aim of this paper is to demonstrate the usefulness of supervised machine learning algorithms in predicting the profitability of Romanian companies applying International Financial Reporting Standards (IFRS), both by regression and classification methods. The algorithms used in this research are linear regression (LinR), logistic regression (LogR), decision tree (DT), random forest (RF), K-nearest neighbor (KNN), and multi-layer perceptron (MLP). The results showed that both methods can produce models with high accuracy in profitability prediction. Thus, for regression, the best estimates were generated by the MLP model, and for classification, by the RF model. These results can be used to obtain sustainable models for predicting economic and financial performance, with a major impact on the management decisions of companies.","PeriodicalId":51029,"journal":{"name":"Economic Computation and Economic Cybernetics Studies and Research","volume":" ","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49449125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：