As one of the key elements in various enterprises' core competitiveness,competitive intelligence has universal laws and methods in its managing mode.At the same time,different features lie in different industries,...As one of the key elements in various enterprises' core competitiveness,competitive intelligence has universal laws and methods in its managing mode.At the same time,different features lie in different industries,scales,regions and developing stages.The enterprises must be good at choosing and constructing proper and efficient competitive intelligence modes.In this paper,the author bases his paper on the features of embedded software enterprises - high degree of homogenization and quick upgrade of products,and discusses the basic approaches and process of establishing efficient competitive intelligence in this kind of enterprises.The author hopes his research will provide decision support for those enterprises in strengthening their competitive advantages.展开更多
Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified ne...Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.展开更多
Access database technology and Visual Basic programming language are used to develop a set of chemical reagents quality analysis and inspection of intelligent management application software, and its stability was inv...Access database technology and Visual Basic programming language are used to develop a set of chemical reagents quality analysis and inspection of intelligent management application software, and its stability was investigated. The results show that the sotfware is used to manage intelligently the quality analysis of chemical reagents test each linkage, to upload and save the analysis of test data and results in the network in time for users, to build a network of information sharing platform for enterprises and quality management departments, and its quality of chemical reagents test results is used to manage by the computer with practical application value. The software is simple, convenient, fast, friendly interface, stable operation, accurate and reliable results, with a high value to promote the application.展开更多
In this paper, based on the analysis and test methods of national standards （GB 14754-2010） and chemical analysis and test items carried out by chemical enterprises, a set of automatic processing of quality analysis...In this paper, based on the analysis and test methods of national standards （GB 14754-2010） and chemical analysis and test items carried out by chemical enterprises, a set of automatic processing of quality analysis test data of ascorbic acid products was developed by using access database technology and Visual Basic programming language system, and its stability was investigated. The results show that the software can manage intelligently all aspects of the quality analysis and test of ascorbic acid products, uploading timely the data and results of the analysis and inspection to the network and saving it for users, enterprises and quality management, which set up a network of information sharing platform to ensure the authenticity and reliability of measurement results, improving greatly the speed of data processing, saving valuable time, reducing production costs with good economic efficiency and social benefit. It has practical value for ascorbic acid quality analysis test data processing automatically the results of the implementation of intelligent management.展开更多
BACKGROUND About 25%of the general population in Japan are reported to have nonalcoholic fatty liver disease(NAFLD).NAFLD and nonalcoholic steatohepatitis carry a risk of progressing further to hepatocellular carcinom...BACKGROUND About 25%of the general population in Japan are reported to have nonalcoholic fatty liver disease(NAFLD).NAFLD and nonalcoholic steatohepatitis carry a risk of progressing further to hepatocellular carcinoma.The primary treatment for NAFLD is dietary therapy.Dietary counseling plays an essential role in dietary therapy.Although artificial intelligence(AI)-based nutrition management software applications have been developed and put into practical use in recent years,the majority focus on weight loss or muscle strengthening,and no software has been developed for patient use in clinical practice.AIM To examine whether effective dietary counseling is possible using AI-based nutrition management software.METHODS NAFLD patients who had been assessed using an AI-based nutrition management software application(Calomeal)that automatically analyzed images of meals photographed by patients and agreed to receive dietary counseling were given dietary counseling.Blood biochemistry tests were performed before(baseline)and 6 mo after(6M follow-up)dietary counseling.After the dietary counseling,the patients were asked to complete a questionnaire survey.RESULTS A total of 29 patients diagnosed with NAFLD between August 2020 and March 2022 were included.There were significant decreases in liver enzyme and triglyceride levels at the 6M follow-up compared to baseline.The food analysis capability of the AI used by Calomeal in this study was 75.1%.Patient satisfaction with the AIbased dietary counselling was high.CONCLUSION AI-based nutrition management appeared to raise awareness of dietary habits among NAFLD patients.However,it did not directly alleviate the burden of registered dietitians,and improvements are much anticipated.展开更多
文摘As one of the key elements in various enterprises' core competitiveness,competitive intelligence has universal laws and methods in its managing mode.At the same time,different features lie in different industries,scales,regions and developing stages.The enterprises must be good at choosing and constructing proper and efficient competitive intelligence modes.In this paper,the author bases his paper on the features of embedded software enterprises - high degree of homogenization and quick upgrade of products,and discusses the basic approaches and process of establishing efficient competitive intelligence in this kind of enterprises.The author hopes his research will provide decision support for those enterprises in strengthening their competitive advantages.
基金This work was funded by the Deanship of Scientific Research at Jouf University under Grant Number(DSR2022-RG-0102).
文摘Software Defined Network(SDN)and Network Function Virtualization(NFV)technology promote several benefits to network operators,including reduced maintenance costs,increased network operational performance,simplified network lifecycle,and policies management.Network vulnerabilities try to modify services provided by Network Function Virtualization MANagement and Orchestration(NFV MANO),and malicious attacks in different scenarios disrupt the NFV Orchestrator(NFVO)and Virtualized Infrastructure Manager(VIM)lifecycle management related to network services or individual Virtualized Network Function(VNF).This paper proposes an anomaly detection mechanism that monitors threats in NFV MANO and manages promptly and adaptively to implement and handle security functions in order to enhance the quality of experience for end users.An anomaly detector investigates these identified risks and provides secure network services.It enables virtual network security functions and identifies anomalies in Kubernetes(a cloud-based platform).For training and testing purpose of the proposed approach,an intrusion-containing dataset is used that hold multiple malicious activities like a Smurf,Neptune,Teardrop,Pod,Land,IPsweep,etc.,categorized as Probing(Prob),Denial of Service(DoS),User to Root(U2R),and Remote to User(R2L)attacks.An anomaly detector is anticipated with the capabilities of a Machine Learning(ML)technique,making use of supervised learning techniques like Logistic Regression(LR),Support Vector Machine(SVM),Random Forest(RF),Naïve Bayes(NB),and Extreme Gradient Boosting(XGBoost).The proposed framework has been evaluated by deploying the identified ML algorithm on a Jupyter notebook in Kubeflow to simulate Kubernetes for validation purposes.RF classifier has shown better outcomes(99.90%accuracy)than other classifiers in detecting anomalies/intrusions in the containerized environment.
文摘Access database technology and Visual Basic programming language are used to develop a set of chemical reagents quality analysis and inspection of intelligent management application software, and its stability was investigated. The results show that the sotfware is used to manage intelligently the quality analysis of chemical reagents test each linkage, to upload and save the analysis of test data and results in the network in time for users, to build a network of information sharing platform for enterprises and quality management departments, and its quality of chemical reagents test results is used to manage by the computer with practical application value. The software is simple, convenient, fast, friendly interface, stable operation, accurate and reliable results, with a high value to promote the application.
文摘In this paper, based on the analysis and test methods of national standards （GB 14754-2010） and chemical analysis and test items carried out by chemical enterprises, a set of automatic processing of quality analysis test data of ascorbic acid products was developed by using access database technology and Visual Basic programming language system, and its stability was investigated. The results show that the software can manage intelligently all aspects of the quality analysis and test of ascorbic acid products, uploading timely the data and results of the analysis and inspection to the network and saving it for users, enterprises and quality management, which set up a network of information sharing platform to ensure the authenticity and reliability of measurement results, improving greatly the speed of data processing, saving valuable time, reducing production costs with good economic efficiency and social benefit. It has practical value for ascorbic acid quality analysis test data processing automatically the results of the implementation of intelligent management.
文摘BACKGROUND About 25%of the general population in Japan are reported to have nonalcoholic fatty liver disease(NAFLD).NAFLD and nonalcoholic steatohepatitis carry a risk of progressing further to hepatocellular carcinoma.The primary treatment for NAFLD is dietary therapy.Dietary counseling plays an essential role in dietary therapy.Although artificial intelligence(AI)-based nutrition management software applications have been developed and put into practical use in recent years,the majority focus on weight loss or muscle strengthening,and no software has been developed for patient use in clinical practice.AIM To examine whether effective dietary counseling is possible using AI-based nutrition management software.METHODS NAFLD patients who had been assessed using an AI-based nutrition management software application(Calomeal)that automatically analyzed images of meals photographed by patients and agreed to receive dietary counseling were given dietary counseling.Blood biochemistry tests were performed before(baseline)and 6 mo after(6M follow-up)dietary counseling.After the dietary counseling,the patients were asked to complete a questionnaire survey.RESULTS A total of 29 patients diagnosed with NAFLD between August 2020 and March 2022 were included.There were significant decreases in liver enzyme and triglyceride levels at the 6M follow-up compared to baseline.The food analysis capability of the AI used by Calomeal in this study was 75.1%.Patient satisfaction with the AIbased dietary counselling was high.CONCLUSION AI-based nutrition management appeared to raise awareness of dietary habits among NAFLD patients.However,it did not directly alleviate the burden of registered dietitians,and improvements are much anticipated.
