This paper presents the key concerns of offshore wind turbine Original Equipment Manufacturers’ (OEMs) Product Portfolio Management (PPM) functions for the predicted turbine growth. In addition, it provides possible improvements within the portfolio decision process through available cost forecast equations for turbines’ main components.
{"title":"Advantages For Portfolio Management Through Cost Scaling Equations for Offshore Wind Turbine Components","authors":"M. Meissner, M. Greguš","doi":"10.5171/2022.942296","DOIUrl":"https://doi.org/10.5171/2022.942296","url":null,"abstract":"This paper presents the key concerns of offshore wind turbine Original Equipment Manufacturers’ (OEMs) Product Portfolio Management (PPM) functions for the predicted turbine growth. In addition, it provides possible improvements within the portfolio decision process through available cost forecast equations for turbines’ main components.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131099414","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}
The unprecedented development in the realm of Internet of Things in recent times has facilitated the adoption and integration of microcontrollers and sensors into a large variety of contexts and at a significant scale.
近年来，物联网领域前所未有的发展促进了微控制器和传感器在各种各样的环境中大规模的采用和集成。
{"title":"Sensor-based Methodology for Indoor Trajectory Determination","authors":"Alexandru Marius Obretin","doi":"10.5171/2021.524370","DOIUrl":"https://doi.org/10.5171/2021.524370","url":null,"abstract":"The unprecedented development in the realm of Internet of Things in recent times has facilitated the adoption and integration of microcontrollers and sensors into a large variety of contexts and at a significant scale.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"86 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120863880","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}
Web 2.0 applications have provided researchers with vast quantities of Big Data, opening up new horizons for developing innovative analysis techniques that are applicable in multiple cognitive fields. Politics is definitely among them and is currently in a dynamically evolving range of these applications.
Web 2.0应用程序为研究人员提供了大量的大数据，为开发适用于多个认知领域的创新分析技术开辟了新的视野。政治当然是其中之一，目前正处于这些应用的动态发展范围内。
{"title":"“An Effective Multidimensional Model for Analyzing Social Web Big Data – Testing in simple Web 2.0 Applications of Internet Politics”","authors":"Dimitrios Vagianos, K. Zafiropoulos","doi":"10.5171/2021.589003","DOIUrl":"https://doi.org/10.5171/2021.589003","url":null,"abstract":"Web 2.0 applications have provided researchers with vast quantities of Big Data, opening up new horizons for developing innovative analysis techniques that are applicable in multiple cognitive fields. Politics is definitely among them and is currently in a dynamically evolving range of these applications.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126814813","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}
Organizations struggle to strike the right balance between flexibility and security for remote work. With the major portion of the workforce in every country working from home during the covid-19 pandemic, employers might not have accounted for this scale of load on their IT infrastructure, not to mention their cybersecurity preparedness.
{"title":"A Descriptive Study on Cybersecurity Challenges of Working from Home during COVID-19 Pandemic and a Proposed 8 step WFH Cyber-attack Mitigation Plan","authors":"Glorin Sebastian","doi":"10.5171/2021.589235","DOIUrl":"https://doi.org/10.5171/2021.589235","url":null,"abstract":"Organizations struggle to strike the right balance between flexibility and security for remote work. With the major portion of the workforce in every country working from home during the covid-19 pandemic, employers might not have accounted for this scale of load on their IT infrastructure, not to mention their cybersecurity preparedness.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125988626","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}
Data privacy is becoming one of the major risks faced by organizations. With the emergence of new technologies such as Internet of Things (IoT), Automated vehicles, mobile payments, privacy is no longer a compliance issue, but also a user responsibility to ensure users are aware of the risks of sharing personal data with third parties.
{"title":"A Cross-sectional Study on Improving Privacy Policy Read Rate and Comprehension via Better UX/UI Design","authors":"Glorin Sebastian","doi":"10.5171/2021.168594","DOIUrl":"https://doi.org/10.5171/2021.168594","url":null,"abstract":"Data privacy is becoming one of the major risks faced by organizations. With the emergence of new technologies such as Internet of Things (IoT), Automated vehicles, mobile payments, privacy is no longer a compliance issue, but also a user responsibility to ensure users are aware of the risks of sharing personal data with third parties.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115225289","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}
The aim of this paper is to illustrate how statistical tools can benefit healthcare policy makers specialised in the rabies management. Understanding the prevalence of such a disease is crucial for management teams. Seasonality may be a salient feature of data series provided by medical units, that is why the use of an innovative tool for seasonal adjustment is needed. For this paper, the data series (number of persons examined for rabies, by age and residency) were provided by one single health care unit – The National Institute of Infectious Diseases “Matei Bals”. Methodologically, the graphs of both series were analyzed in order to indicate the type of transformation needed: seasonality test and outlier detection. When seasonality is detected, the data series were seasonally adjusted using JDemetra+ 2.2.2, a software recommended by Eurostat, which incorporates TRAMO-SEATS and X13 procedure specifications. Following the Hungarian Central Statistics Office’s guidelines (2007), if the seasonal variation is not changing along with the trend, then no transformation is needed; however, if the seasonal variation is changing along with the trend, a log-transformation is necessary. The results of the analysis show that all the series display clear seasonal patterns and that should be log-transformed prior to seasonal adjustment. The only series that displayed outliers is the number of persons examined for rabies from Bucharest. JDemetra+ offers not only seasonality tests and an automatic procedure for seasonal adjustment, but also a very useful tool for policy makers; the outlier detection tool, which could be used to evaluate different policies in time.
{"title":"Better Management of Rabies Using Innovative Statistical Tools","authors":"Andreea Mirica, Octavian Ceban, Georgiana Andreea Ferariu, Viorel Cirnu, Bogdan Chiper, Nicoleta Velisca, Maria-Cristina Necula","doi":"10.5171/2020.537282","DOIUrl":"https://doi.org/10.5171/2020.537282","url":null,"abstract":"The aim of this paper is to illustrate how statistical tools can benefit healthcare policy makers specialised in the rabies management. Understanding the prevalence of such a disease is crucial for management teams. Seasonality may be a salient feature of data series provided by medical units, that is why the use of an innovative tool for seasonal adjustment is needed. For this paper, the data series (number of persons examined for rabies, by age and residency) were provided by one single health care unit – The National Institute of Infectious Diseases “Matei Bals”. Methodologically, the graphs of both series were analyzed in order to indicate the type of transformation needed: seasonality test and outlier detection. When seasonality is detected, the data series were seasonally adjusted using JDemetra+ 2.2.2, a software recommended by Eurostat, which incorporates TRAMO-SEATS and X13 procedure specifications. Following the Hungarian Central Statistics Office’s guidelines (2007), if the seasonal variation is not changing along with the trend, then no transformation is needed; however, if the seasonal variation is changing along with the trend, a log-transformation is necessary. The results of the analysis show that all the series display clear seasonal patterns and that should be log-transformed prior to seasonal adjustment. The only series that displayed outliers is the number of persons examined for rabies from Bucharest. JDemetra+ offers not only seasonality tests and an automatic procedure for seasonal adjustment, but also a very useful tool for policy makers; the outlier detection tool, which could be used to evaluate different policies in time.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130411750","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}
A company's environment is constantly changing, new competitive models have appeared, new tangible and intangible resources are being built and new competitive regulations form a new competitive framework which opens the field to new opportunities and new threats. With this dynamic, companies are rushing towards the development of their strategic decision system which must be powerful to follow any material (product and service) or immaterial resource (belief, knowledge, know-how) coming from one of the direct competitors. In this context, a conceptual study is carried out with the objective to analyze the evolution of cognition-based competition using artificial intelligence (AI) technology as a support for strategic decision-making; this is in order to transform the competition into an intelligent mode. The finding is presented in an intelligent approach designed to generate automatic competition rules based on deep learning techniques.
{"title":"How Artificial Intelligence can make Competition more Intelligent","authors":"A. Mokeddem","doi":"10.5171/2020.622155","DOIUrl":"https://doi.org/10.5171/2020.622155","url":null,"abstract":"A company's environment is constantly changing, new competitive models have appeared, new tangible and intangible resources are being built and new competitive regulations form a new competitive framework which opens the field to new opportunities and new threats. With this dynamic, companies are rushing towards the development of their strategic decision system which must be powerful to follow any material (product and service) or immaterial resource (belief, knowledge, know-how) coming from one of the direct competitors. In this context, a conceptual study is carried out with the objective to analyze the evolution of cognition-based competition using artificial intelligence (AI) technology as a support for strategic decision-making; this is in order to transform the competition into an intelligent mode. The finding is presented in an intelligent approach designed to generate automatic competition rules based on deep learning techniques.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115745906","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}
The food represents an important and enjoyable segment of our lives. By the way of organization, the activity of public feeding acquires a special importance in transforming the way of life of the people, offering multiple possibilities of use of the free time. The food services are an integral part of the tourist services. Also, as an economic business, the food services are permanently associated with tourism activities, and their dynamics are significantly influenced by the evolution of the tourist circulation. Considering the culinary technology at the European level, one can reach the conclusion that within it, there are significant changes in the assortments of the commercialized products, which are finally leading to the diversification of the interdependencies with other sectors of activity. The catering operators must face the new challenges generated by the leap forward of science and technology both at the European and the global level. In order to know the dynamism and the changes made at the European level, within the activity of food services, the authors tried to characterize it by using elementary statistical methods (the graphical method) and analytical methods (the regression and correlation method). In the analysis, the data used were those provided by Eurostat, and their processing was performed by the Excel and EViews software packages. The results of the study highlighted the fact that the workforce from the tourist activity out of which the food services are also a part, has a strong influence on the catering services at the European level as well as on the tourist reception structures.
{"title":"Development of the Tourist Services at European level based on the Public Food Indicators","authors":"I. Florescu, S. Cristache, D. Șerban, A. Badin","doi":"10.5171/2019.124935","DOIUrl":"https://doi.org/10.5171/2019.124935","url":null,"abstract":"The food represents an important and enjoyable segment of our lives. By the way of organization, the activity of public feeding acquires a special importance in transforming the way of life of the people, offering multiple possibilities of use of the free time. The food services are an integral part of the tourist services. Also, as an economic business, the food services are permanently associated with tourism activities, and their dynamics are significantly influenced by the evolution of the tourist circulation. Considering the culinary technology at the European level, one can reach the conclusion that within it, there are significant changes in the assortments of the commercialized products, which are finally leading to the diversification of the interdependencies with other sectors of activity. The catering operators must face the new challenges generated by the leap forward of science and technology both at the European and the global level. In order to know the dynamism and the changes made at the European level, within the activity of food services, the authors tried to characterize it by using elementary statistical methods (the graphical method) and analytical methods (the regression and correlation method). In the analysis, the data used were those provided by Eurostat, and their processing was performed by the Excel and EViews software packages. The results of the study highlighted the fact that the workforce from the tourist activity out of which the food services are also a part, has a strong influence on the catering services at the European level as well as on the tourist reception structures.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134032165","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}
Modern transport is the most important component of the world economy and has a huge impact on the dynamics of economic processes. Approximately 1.2 million people die every year in road traffic accidents (RTA), and up to 50 million people are injured and become disabled. According to the World Bank, the annual economic damage from road traffic accidents reaches astronomical values, up to exceeds $500 billion US dollars / year, taking into account the Abstract
{"title":"The Necessity Analysis for Economic Loss Evaluation of Traffic Accidents Considering the Needs of Different Groups of Users","authors":"Zhao-hui Liu, A. Mikhalchenko","doi":"10.5171/2019.710724","DOIUrl":"https://doi.org/10.5171/2019.710724","url":null,"abstract":"Modern transport is the most important component of the world economy and has a huge impact on the dynamics of economic processes. Approximately 1.2 million people die every year in road traffic accidents (RTA), and up to 50 million people are injured and become disabled. According to the World Bank, the annual economic damage from road traffic accidents reaches astronomical values, up to exceeds $500 billion US dollars / year, taking into account the Abstract","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130710977","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}
In ubiquitous computing environments, computers are embedded into everyday lives to provide information anywhere and at any time. Pervasive computing assists us in our everyday activities, operating invisibly in the background, regardless of our location or devices. Therefore, ubiquitous computing requires discovering new Human-Computer Interaction methods helping users to easily interact with ubiquitous systems whatever is the perceived context situation. However, designing context-aware applications that are able to adapt to context instability is a recurring problem that requires special attention from researchers in the HCI community. On the one hand, it is not trivial for a designer to specify how UIs should adapt, and on the other hand it is very hard to predict the context of use changes and accordingly to construct adaptive UIs that match users expectations. In this paper, we present a Model Driving Engineering (MDE) technique to design UIs that automatically adapt to the perceived context situation while the designer and eventually the end user still have full control over the adaptation during runtime. This technique is supported by a conceptual framework and a graphical tool that lower the threshold for designers as well as developers to design adaptive user interfaces, modelize context situations, edit adaptation rules and manage the adaptation process.
{"title":"User Interface Adaptation based on a Business Rules Management System and Machine Learning","authors":"Nadia Ghaibi, Olfa Dâassi, Leila Jemni Ben Ayed","doi":"10.5171/2018.281881","DOIUrl":"https://doi.org/10.5171/2018.281881","url":null,"abstract":"In ubiquitous computing environments, computers are embedded into everyday lives to provide information anywhere and at any time. Pervasive computing assists us in our everyday activities, operating invisibly in the background, regardless of our location or devices. Therefore, ubiquitous computing requires discovering new Human-Computer Interaction methods helping users to easily interact with ubiquitous systems whatever is the perceived context situation. However, designing context-aware applications that are able to adapt to context instability is a recurring problem that requires special attention from researchers in the HCI community. On the one hand, it is not trivial for a designer to specify how UIs should adapt, and on the other hand it is very hard to predict the context of use changes and accordingly to construct adaptive UIs that match users expectations. In this paper, we present a Model Driving Engineering (MDE) technique to design UIs that automatically adapt to the perceived context situation while the designer and eventually the end user still have full control over the adaptation during runtime. This technique is supported by a conceptual framework and a graphical tool that lower the threshold for designers as well as developers to design adaptive user interfaces, modelize context situations, edit adaptation rules and manage the adaptation process.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124718406","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}
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：