近年来,随着数字广播工作的持续推进,形成了完善的中国数字化广播(China Digital Radio,CDR)行业与技术标准,并被应用于广播电视工程。文章主要探索广播电视工程中数字音频广播CDR技术的运用,通过数字音频技术与广播电视工程的有机结合...近年来,随着数字广播工作的持续推进,形成了完善的中国数字化广播(China Digital Radio,CDR)行业与技术标准,并被应用于广播电视工程。文章主要探索广播电视工程中数字音频广播CDR技术的运用,通过数字音频技术与广播电视工程的有机结合,推动广播电视质量的提升,满足观众多样化的需求,有助于新时代背景下广播电视工程的持续发展。展开更多
与传统广播相比,数字音频具有音质好、覆盖范围广、频谱利用率高、抗干扰能力强、高速移动接受等优点。数字音频广播CDR(China Digital Radio)是我国具有独立自主知识产权的编码标准,其编码效率更高,频谱模式更灵活,能实现数模同播,已...与传统广播相比,数字音频具有音质好、覆盖范围广、频谱利用率高、抗干扰能力强、高速移动接受等优点。数字音频广播CDR(China Digital Radio)是我国具有独立自主知识产权的编码标准,其编码效率更高,频谱模式更灵活,能实现数模同播,已经在我国各地区全面覆盖。因此,有必要对数字音频广播CDR编码技术及其应用进行研究。展开更多
In the telecommunications sector, companies suffer serious damages due to fraud, especially in Africa. One of the main types of fraud is SIM box bypass fraud, which includes using SIM cards to divert incoming internat...In the telecommunications sector, companies suffer serious damages due to fraud, especially in Africa. One of the main types of fraud is SIM box bypass fraud, which includes using SIM cards to divert incoming international calls from mobile operators creating massive losses of revenue. In order to provide a solution to these shortcomings that apply almost to all network operators, we developed intelligent algorithms that exploit huge amounts of data from mobile operators and that detect fraud by analyzing CDRs from voice calls. In this paper we used three classification techniques: Random Forest, Support Vector Machine (SVM) and XGBoost to detect this type of fraud;we compared the performance of these different algorithms to evaluate the model by using data collected from an operator’s network in Cameroon. The algorithm that produced a better performance was the Random Forest with 92% accuracy, so we effectuated the detection of existing fraudulent numbers on the telecommunications operator’s network.展开更多
The Architecture,Engineering and Construction Industry(AEC)undergoes digital transformation,one of the major drivers for technical innovation and dynamism to all working processes.Emerging technologies were only used ...The Architecture,Engineering and Construction Industry(AEC)undergoes digital transformation,one of the major drivers for technical innovation and dynamism to all working processes.Emerging technologies were only used to a limited extent due to the lack of will to innovate and the unavailability of appropriate orientation guiding users with a more comprehensible framework.The research defined a new gap in scientific research with the concept of Corporate Digital Responsibility(CDR)in Construction 4.0—a term representing the digitization of the branch.The traditionally conservative,highly fragmented industry is predestined for this given the advanced technology,human potential and appreciation of values.Understanding the complex possibilities of innovation and recognizing the potential impact on the sustainability of buildings and the built environment promotes the adoption of corporate responsibility.The implementation of digital strategies,secured by an adapted legal framework,would accelerate the overall human,societal and digital transformation.This primary research investigates the challenges affecting the adoption of Artificial Intelligence(AI).The study highlights in which fields CDR can significantly catalyze innovation to achieve efficient,economic construction life cycles.The study used a mix of methods with a structured literature analysis and expert interview surveys enabling a critical-reflexive analysis of key factors.It evaluates the key tasks to master technological feasibility.By assessing multiple expert perspectives,the study takes stock of the acceptance of new technologies.The findings are expected to inspire corporates,researchers and practitioners across disciplines.Necessary corporate steps are outlined in the study to lay the path for defining their own digital strategy.The study shows that new research questions require a holistic approach.展开更多
文摘近年来,随着数字广播工作的持续推进,形成了完善的中国数字化广播(China Digital Radio,CDR)行业与技术标准,并被应用于广播电视工程。文章主要探索广播电视工程中数字音频广播CDR技术的运用,通过数字音频技术与广播电视工程的有机结合,推动广播电视质量的提升,满足观众多样化的需求,有助于新时代背景下广播电视工程的持续发展。
文摘与传统广播相比,数字音频具有音质好、覆盖范围广、频谱利用率高、抗干扰能力强、高速移动接受等优点。数字音频广播CDR(China Digital Radio)是我国具有独立自主知识产权的编码标准,其编码效率更高,频谱模式更灵活,能实现数模同播,已经在我国各地区全面覆盖。因此,有必要对数字音频广播CDR编码技术及其应用进行研究。
文摘In the telecommunications sector, companies suffer serious damages due to fraud, especially in Africa. One of the main types of fraud is SIM box bypass fraud, which includes using SIM cards to divert incoming international calls from mobile operators creating massive losses of revenue. In order to provide a solution to these shortcomings that apply almost to all network operators, we developed intelligent algorithms that exploit huge amounts of data from mobile operators and that detect fraud by analyzing CDRs from voice calls. In this paper we used three classification techniques: Random Forest, Support Vector Machine (SVM) and XGBoost to detect this type of fraud;we compared the performance of these different algorithms to evaluate the model by using data collected from an operator’s network in Cameroon. The algorithm that produced a better performance was the Random Forest with 92% accuracy, so we effectuated the detection of existing fraudulent numbers on the telecommunications operator’s network.
文摘The Architecture,Engineering and Construction Industry(AEC)undergoes digital transformation,one of the major drivers for technical innovation and dynamism to all working processes.Emerging technologies were only used to a limited extent due to the lack of will to innovate and the unavailability of appropriate orientation guiding users with a more comprehensible framework.The research defined a new gap in scientific research with the concept of Corporate Digital Responsibility(CDR)in Construction 4.0—a term representing the digitization of the branch.The traditionally conservative,highly fragmented industry is predestined for this given the advanced technology,human potential and appreciation of values.Understanding the complex possibilities of innovation and recognizing the potential impact on the sustainability of buildings and the built environment promotes the adoption of corporate responsibility.The implementation of digital strategies,secured by an adapted legal framework,would accelerate the overall human,societal and digital transformation.This primary research investigates the challenges affecting the adoption of Artificial Intelligence(AI).The study highlights in which fields CDR can significantly catalyze innovation to achieve efficient,economic construction life cycles.The study used a mix of methods with a structured literature analysis and expert interview surveys enabling a critical-reflexive analysis of key factors.It evaluates the key tasks to master technological feasibility.By assessing multiple expert perspectives,the study takes stock of the acceptance of new technologies.The findings are expected to inspire corporates,researchers and practitioners across disciplines.Necessary corporate steps are outlined in the study to lay the path for defining their own digital strategy.The study shows that new research questions require a holistic approach.
