The development of digital technologies such as blockchain has provided new possibilities for solving the financing difficulties of small and medium-sized enterprises (SMEs). In order to explore the mutual influence of the participants in the supply chain, this paper constructs two static tripartite game models for traditional and digital supply chain finance, including a small and medium-sized enterprise (SME), a core enterprise (CE), and a financial institution (FI). The conditions for SME, CE, and FI to participate in digital supply chain finance, and the equilibrium strategy (repayment, repayment, loan) after participating in digital supply chain finance, are figured out. It is found that compared with the traditional supply chain, the digital supply chain expands the probability range of repayment for SME and CE by the change of pledge rate and default loss and broadens the probability range of repayment for CE by the change of default loss. Further, compared with the traditional supply chain finance, the greater the pledge rate of digital supply chain finance and the smaller the default loss, the stronger the willingness of the SME and CE to participate in the digital supply chain and the lower the willingness of the FI. After the three parties participate in the digital supply chain, however, the conclusion is the opposite. The smaller the pledge rate and the greater the default loss, the stronger the repayment willingness for the SME and CE and the stronger the loan willingness of the FI. Therefore, it is suggested to find the critical values of pledge rate and default loss and raise these two variables to an appropriate range to encourage all parties to voluntarily and consistently participate in digital supply chain financing.
{"title":"How to Reshape the Selection Boundaries between Traditional and Digital Supply Chain Finance Based on the Pledge Rate and Default Loss: Two Tripartite Game Models","authors":"Xiang Sun, Yue Wang, Yinzi Huang, Yue Zhang","doi":"10.3390/systems12070253","DOIUrl":"https://doi.org/10.3390/systems12070253","url":null,"abstract":"The development of digital technologies such as blockchain has provided new possibilities for solving the financing difficulties of small and medium-sized enterprises (SMEs). In order to explore the mutual influence of the participants in the supply chain, this paper constructs two static tripartite game models for traditional and digital supply chain finance, including a small and medium-sized enterprise (SME), a core enterprise (CE), and a financial institution (FI). The conditions for SME, CE, and FI to participate in digital supply chain finance, and the equilibrium strategy (repayment, repayment, loan) after participating in digital supply chain finance, are figured out. It is found that compared with the traditional supply chain, the digital supply chain expands the probability range of repayment for SME and CE by the change of pledge rate and default loss and broadens the probability range of repayment for CE by the change of default loss. Further, compared with the traditional supply chain finance, the greater the pledge rate of digital supply chain finance and the smaller the default loss, the stronger the willingness of the SME and CE to participate in the digital supply chain and the lower the willingness of the FI. After the three parties participate in the digital supply chain, however, the conclusion is the opposite. The smaller the pledge rate and the greater the default loss, the stronger the repayment willingness for the SME and CE and the stronger the loan willingness of the FI. Therefore, it is suggested to find the critical values of pledge rate and default loss and raise these two variables to an appropriate range to encourage all parties to voluntarily and consistently participate in digital supply chain financing.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"59 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marwan H. Alhelali, Osama Abdulaziz Alamri, Alanazi Talal Abdulrahman, Mohammed Ahmed Alomair, Basim S. O. Alsaedi
The objective of this research is to ascertain the elements that have an impact on and drive domestic violence in Saudi Arabia, a phenomenon that has a prevalence rate of around 35% among women globally. The researchers administered a survey to a sample of 550 individuals and used exploratory factor analysis (EFA) to analyze the collected data. The findings revealed three factors: a lack of familial unity, encouragement of detrimental characteristics, and economic turmoil. The authors examined the consequences of these characteristics on preventive and intervention programs and proposed suggestions for policymakers and researchers. This research enhances the existing body of knowledge on domestic violence by conducting a statistical analysis to examine the factors that lead to it and the resulting outcomes within a particular cultural setting.
{"title":"Exploring Domestic Violence Causes in Saudi Arabia: Factor Analysis Approach","authors":"Marwan H. Alhelali, Osama Abdulaziz Alamri, Alanazi Talal Abdulrahman, Mohammed Ahmed Alomair, Basim S. O. Alsaedi","doi":"10.3390/systems12070252","DOIUrl":"https://doi.org/10.3390/systems12070252","url":null,"abstract":"The objective of this research is to ascertain the elements that have an impact on and drive domestic violence in Saudi Arabia, a phenomenon that has a prevalence rate of around 35% among women globally. The researchers administered a survey to a sample of 550 individuals and used exploratory factor analysis (EFA) to analyze the collected data. The findings revealed three factors: a lack of familial unity, encouragement of detrimental characteristics, and economic turmoil. The authors examined the consequences of these characteristics on preventive and intervention programs and proposed suggestions for policymakers and researchers. This research enhances the existing body of knowledge on domestic violence by conducting a statistical analysis to examine the factors that lead to it and the resulting outcomes within a particular cultural setting.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"2011 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141613670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Privacy by design (PbD) has attracted considerable attention from researchers and information security experts due to its enormous potential for protecting private information and improving the privacy and security quality of information technology products. The adoption of PbD among information engineers is currently limited owing to its innovativeness and the distinctive traits of the information technology industry. Utilising the Technology Acceptance Model as a framework, this study innovatively explores the pivotal factors and mechanisms that influence information engineers’ decision-making in the adoption of PbD from the viewpoint of the perceived work risk. In this empirical research, professional information engineers were invited to complete a questionnaire survey. After analysing the data using partial least squares structural equation modelling, the results reveal that information engineers’ perceived work risk in PbD (PWRP) negatively affects their perceptions of the usefulness and ease of use of PbD. This negative perception subsequently reduces their intention to implement PbD (INTP) and adversely impacts their attitudes towards implementing PbD (ATTP). Furthermore, the study findings reveal that a positive ATTP among engineers boosts their INTP and positively influences their behaviours regarding information security. This study provides an in-depth examination of these findings and lays a solid theoretical groundwork for the further promotion and implementation of PbD in information technology enterprises. Moreover, the findings offer invaluable support for management decisions in both information technology companies and information security regulatory authorities, significantly contributing to the expansion and deepening of research in the field of PbD.
{"title":"Research on Privacy-by-Design Behavioural Decision-Making of Information Engineers Considering Perceived Work Risk","authors":"Fei Bu, Nengmin Wang, Qi Jiang, Xiang Tian","doi":"10.3390/systems12070250","DOIUrl":"https://doi.org/10.3390/systems12070250","url":null,"abstract":"Privacy by design (PbD) has attracted considerable attention from researchers and information security experts due to its enormous potential for protecting private information and improving the privacy and security quality of information technology products. The adoption of PbD among information engineers is currently limited owing to its innovativeness and the distinctive traits of the information technology industry. Utilising the Technology Acceptance Model as a framework, this study innovatively explores the pivotal factors and mechanisms that influence information engineers’ decision-making in the adoption of PbD from the viewpoint of the perceived work risk. In this empirical research, professional information engineers were invited to complete a questionnaire survey. After analysing the data using partial least squares structural equation modelling, the results reveal that information engineers’ perceived work risk in PbD (PWRP) negatively affects their perceptions of the usefulness and ease of use of PbD. This negative perception subsequently reduces their intention to implement PbD (INTP) and adversely impacts their attitudes towards implementing PbD (ATTP). Furthermore, the study findings reveal that a positive ATTP among engineers boosts their INTP and positively influences their behaviours regarding information security. This study provides an in-depth examination of these findings and lays a solid theoretical groundwork for the further promotion and implementation of PbD in information technology enterprises. Moreover, the findings offer invaluable support for management decisions in both information technology companies and information security regulatory authorities, significantly contributing to the expansion and deepening of research in the field of PbD.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"21 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141584871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xue-Guo Xu, Ling Zhang, Si-Xuan Wang, Hua-Ping Gong, Hu-Chen Liu
Human reliability analysis (HRA) is widely used to evaluate the impact of human errors on various complex human–machine systems for enhancing their safety and reliability. Nevertheless, it is hard to estimate the human error probability (HEP) in reality due to the uncertainty of state assessment information and the complex relations among common performance conditions (CPCs). In this paper, we aim to present a new integrated cognitive reliability and error analysis method (CREAM) to solve the HRA problems under probabilistic linguistic environment. First, the probabilistic linguistic term sets (PLTSs) are utilized to handle the uncertain task state assessments provided by experts. Second, the minimum conflict consensus model (MCCM) is employed to deal with conflict task state assessment information to assist experts reach consensus. Third, the entropy weighting method is used to determine the relative objective weights of CPCs. Additionally, the CPC effect indexes are introduced to assess the overall effect of CPCs on performance reliability and obtain the HEP estimation. Finally, the reliability of the proposed CREAM is demonstrated via a healthcare practical case. The result shows that the new integrated CREAM can not only effectively represent experts’ uncertain task state assessments but also determine more reliable HEP estimation in HRA.
人为可靠性分析（HRA）被广泛用于评估人为错误对各种复杂人机系统的影响，以提高其安全性和可靠性。然而，由于状态评估信息的不确定性和常见性能条件（CPC）之间的复杂关系，现实中很难估算人为错误概率（HEP）。本文旨在提出一种新的认知可靠性和误差综合分析方法（CREAM），以解决概率语言环境下的人为错误概率问题。首先，利用概率语言术语集（PLTS）来处理专家提供的不确定任务状态评估。其次，采用最小冲突共识模型（MCCM）处理冲突任务状态评估信息，帮助专家达成共识。第三，采用熵权法确定 CPC 的相对目标权重。此外，还引入了 CPC 效果指数，以评估 CPC 对性能可靠性的整体影响，并获得 HEP 估计值。最后，通过一个医疗保健实际案例证明了所提出的 CREAM 的可靠性。结果表明，新的集成 CREAM 不仅能有效代表专家的不确定任务状态评估，还能在 HRA 中确定更可靠的 HEP 估计。
{"title":"An Integrated CREAM for Human Reliability Analysis Based on Consensus Reaching Process under Probabilistic Linguistic Environment","authors":"Xue-Guo Xu, Ling Zhang, Si-Xuan Wang, Hua-Ping Gong, Hu-Chen Liu","doi":"10.3390/systems12070249","DOIUrl":"https://doi.org/10.3390/systems12070249","url":null,"abstract":"Human reliability analysis (HRA) is widely used to evaluate the impact of human errors on various complex human–machine systems for enhancing their safety and reliability. Nevertheless, it is hard to estimate the human error probability (HEP) in reality due to the uncertainty of state assessment information and the complex relations among common performance conditions (CPCs). In this paper, we aim to present a new integrated cognitive reliability and error analysis method (CREAM) to solve the HRA problems under probabilistic linguistic environment. First, the probabilistic linguistic term sets (PLTSs) are utilized to handle the uncertain task state assessments provided by experts. Second, the minimum conflict consensus model (MCCM) is employed to deal with conflict task state assessment information to assist experts reach consensus. Third, the entropy weighting method is used to determine the relative objective weights of CPCs. Additionally, the CPC effect indexes are introduced to assess the overall effect of CPCs on performance reliability and obtain the HEP estimation. Finally, the reliability of the proposed CREAM is demonstrated via a healthcare practical case. The result shows that the new integrated CREAM can not only effectively represent experts’ uncertain task state assessments but also determine more reliable HEP estimation in HRA.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"28 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agung Suryawan Wiranatha, I Gusti Ayu Oka Suryawardani, I Gusti Raka Purbanto, I Gusti Bagus Arya Yudiastina, Tajuddin Bantacut
Rural tourism, in the form of small-scale, locally owned tourism businesses, has become a priority that must be supported by the government to be more beneficial for the local community. The objective of this study was to develop a conceptual model of rural tourism in order to make rural tourism in Bali more competitive globally. This research was conducted in Bali during April–June 2020 by following a systems thinking approach. The methodology employed was a soft systems methodology and utilized interpretive structural modeling (ISM). Twenty persons were chosen purposively as key informants (experts). Data collection was carried out through focus group discussions (FGDs) and questionnaires. The results indicated that the goals of sustainable rural tourism are to improve local community welfare, to conserve the environment, and to preserve culture and heritage. Managing rural tourism requires efforts in destination quality, service excellence, hospitality, reasonable pricing, and ease of access. Finally, this paper proposes methods to support sustainable rural tourism in Bali.
{"title":"A Conceptual Model of Rural Tourism in Bali to Build Up Global Competitiveness","authors":"Agung Suryawan Wiranatha, I Gusti Ayu Oka Suryawardani, I Gusti Raka Purbanto, I Gusti Bagus Arya Yudiastina, Tajuddin Bantacut","doi":"10.3390/systems12070245","DOIUrl":"https://doi.org/10.3390/systems12070245","url":null,"abstract":"Rural tourism, in the form of small-scale, locally owned tourism businesses, has become a priority that must be supported by the government to be more beneficial for the local community. The objective of this study was to develop a conceptual model of rural tourism in order to make rural tourism in Bali more competitive globally. This research was conducted in Bali during April–June 2020 by following a systems thinking approach. The methodology employed was a soft systems methodology and utilized interpretive structural modeling (ISM). Twenty persons were chosen purposively as key informants (experts). Data collection was carried out through focus group discussions (FGDs) and questionnaires. The results indicated that the goals of sustainable rural tourism are to improve local community welfare, to conserve the environment, and to preserve culture and heritage. Managing rural tourism requires efforts in destination quality, service excellence, hospitality, reasonable pricing, and ease of access. Finally, this paper proposes methods to support sustainable rural tourism in Bali.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"35 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrés David Barragán-Hernández, Mario Aguilar-Fernández
This paper investigates the strategic dimensions influencing the adoption of environmental innovations (EIs) in small and medium-sized manufacturing enterprises (SMEs) in Mexico City. The study aims to understand the fundamental strategic dimensions defining eco-innovation and examine how SMEs manage the complexities of incorporating these practices. Employing a mixed-methods approach with documentary analysis and expert interviews, the study identifies key factors influencing EI adoption through causal maps and the viable system model. Findings highlight the significance of external and internal factors such as competitive pressure, economic constraints, technological capabilities, political support, and social influence. This integrative approach emphasizes the importance of adaptability and responsiveness, presenting eco-innovation as a source of sustainable competitive advantage for SMEs.
{"title":"Strategic Dimensions of Eco-Innovation Adoption in Manufacturing SMEs in the Context of Mexico City","authors":"Andrés David Barragán-Hernández, Mario Aguilar-Fernández","doi":"10.3390/systems12070246","DOIUrl":"https://doi.org/10.3390/systems12070246","url":null,"abstract":"This paper investigates the strategic dimensions influencing the adoption of environmental innovations (EIs) in small and medium-sized manufacturing enterprises (SMEs) in Mexico City. The study aims to understand the fundamental strategic dimensions defining eco-innovation and examine how SMEs manage the complexities of incorporating these practices. Employing a mixed-methods approach with documentary analysis and expert interviews, the study identifies key factors influencing EI adoption through causal maps and the viable system model. Findings highlight the significance of external and internal factors such as competitive pressure, economic constraints, technological capabilities, political support, and social influence. This integrative approach emphasizes the importance of adaptability and responsiveness, presenting eco-innovation as a source of sustainable competitive advantage for SMEs.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"25 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As the development of world-class eco-islands progresses, the homestay sector on Chongming Island has burgeoned, emerging as a pivotal catalyst for rural tourism and economic prosperity. This study, leveraging Chongming Island as a case study, systematically analyzes the spatiotemporal distribution of homestays across island-wide, township, and village scales, employing methodologies such as the spatiotemporal evolutionary tree model. It delves into the intricate systemic framework underpinning homestay development, elucidating the dynamics of interaction mechanisms. Furthermore, it examines the evolving roles of diverse stakeholders throughout various developmental phases, grounded in stakeholder theory. The study reveals that (1) Chongming’s homestays on the island, townships, and village scales show very obvious agglomeration characteristics, mainly concentrated in the A-level scenic spots and in and out of the island traffic junction. (2) The growth of homestays in Chongming shows an increasing trend year by year, with the growth rate slowing down after 2020, and can be divided into four main phases, which are closely related to the construction phase of the eco-island. (3) The evolution of Chongming Island’s homestay is a multifaceted natural–human system intricately shaped by a confluence of five interdependent subsystems: natural ecology, social culture, multiple stakeholders, geographical location, and transport infrastructure. At different stages of development, under the synergistic effect of multiple stakeholders, the homestays on Chongming Island eventually formed a governance structure led by the government and co-managed by the development company, external entrepreneurs, and local villagers. These insights not only augment the scholarly discourse on stakeholder dynamics within the homestay industry but also offer pragmatic enlightenment for strategic planning and the advancement of holistic urban–rural integration in Chongming and the broader Shanghai region.
{"title":"Spatial and Temporal Dynamics of Homestays on Chongming Island: A Systemic Analysis in the Context of World-Class Eco-Island Development","authors":"Xiangxiang Fu, Xiang Kong","doi":"10.3390/systems12070244","DOIUrl":"https://doi.org/10.3390/systems12070244","url":null,"abstract":"As the development of world-class eco-islands progresses, the homestay sector on Chongming Island has burgeoned, emerging as a pivotal catalyst for rural tourism and economic prosperity. This study, leveraging Chongming Island as a case study, systematically analyzes the spatiotemporal distribution of homestays across island-wide, township, and village scales, employing methodologies such as the spatiotemporal evolutionary tree model. It delves into the intricate systemic framework underpinning homestay development, elucidating the dynamics of interaction mechanisms. Furthermore, it examines the evolving roles of diverse stakeholders throughout various developmental phases, grounded in stakeholder theory. The study reveals that (1) Chongming’s homestays on the island, townships, and village scales show very obvious agglomeration characteristics, mainly concentrated in the A-level scenic spots and in and out of the island traffic junction. (2) The growth of homestays in Chongming shows an increasing trend year by year, with the growth rate slowing down after 2020, and can be divided into four main phases, which are closely related to the construction phase of the eco-island. (3) The evolution of Chongming Island’s homestay is a multifaceted natural–human system intricately shaped by a confluence of five interdependent subsystems: natural ecology, social culture, multiple stakeholders, geographical location, and transport infrastructure. At different stages of development, under the synergistic effect of multiple stakeholders, the homestays on Chongming Island eventually formed a governance structure led by the government and co-managed by the development company, external entrepreneurs, and local villagers. These insights not only augment the scholarly discourse on stakeholder dynamics within the homestay industry but also offer pragmatic enlightenment for strategic planning and the advancement of holistic urban–rural integration in Chongming and the broader Shanghai region.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"27 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Intrusion Detection Systems play a crucial role in a network. They can detect different network attacks and raise warnings on them. Machine Learning-based IDSs are trained on datasets that, due to the context, are inherently large, since they can contain network traffic from different time periods and often include a large number of features. In this paper, we present two contributions: the study of the importance of Feature Selection when using an IDS dataset, while striking a balance between performance and the number of features; and the study of the feasibility of using a low-capacity device, the Nvidia Jetson Nano, to implement an IDS. The results, comparing the GA with other well-known techniques in Feature Selection and Dimensionality Reduction, show that the GA has the best F1-score of 76%, among all feature/dimension sizes. Although the processing time to find the optimal set of features surpasses other methods, we observed that the reduction in the number of features decreases the GA processing time without a significant impact on the F1-score. The Jetson Nano allows the classification of network traffic with an overhead of 10 times in comparison to a traditional server, paving the way to a near real-time GA-based embedded IDS.
入侵检测系统在网络中发挥着至关重要的作用。它们可以检测到不同的网络攻击并发出警告。基于机器学习的 IDS 是在数据集上进行训练的，由于数据集可能包含不同时间段的网络流量，而且通常包含大量特征，因此数据集的规模本身就很大。在本文中，我们做出了两项贡献：研究了使用 IDS 数据集时特征选择的重要性，同时在性能和特征数量之间取得平衡；研究了使用低容量设备 Nvidia Jetson Nano 实现 IDS 的可行性。结果显示，在所有特征/维度大小中，GA 的 F1 分数最高，达到 76%。虽然找到最佳特征集所需的处理时间超过了其他方法，但我们观察到，特征数量的减少会减少 GA 的处理时间，而不会对 F1 分数产生显著影响。Jetson Nano 可对网络流量进行分类，其开销是传统服务器的 10 倍，为实现基于 GA 的近实时嵌入式 IDS 铺平了道路。
{"title":"Performance Study on the Use of Genetic Algorithm for Reducing Feature Dimensionality in an Embedded Intrusion Detection System","authors":"João Lobo Silva, Rui Fernandes, Nuno Lopes","doi":"10.3390/systems12070243","DOIUrl":"https://doi.org/10.3390/systems12070243","url":null,"abstract":"Intrusion Detection Systems play a crucial role in a network. They can detect different network attacks and raise warnings on them. Machine Learning-based IDSs are trained on datasets that, due to the context, are inherently large, since they can contain network traffic from different time periods and often include a large number of features. In this paper, we present two contributions: the study of the importance of Feature Selection when using an IDS dataset, while striking a balance between performance and the number of features; and the study of the feasibility of using a low-capacity device, the Nvidia Jetson Nano, to implement an IDS. The results, comparing the GA with other well-known techniques in Feature Selection and Dimensionality Reduction, show that the GA has the best F1-score of 76%, among all feature/dimension sizes. Although the processing time to find the optimal set of features surpasses other methods, we observed that the reduction in the number of features decreases the GA processing time without a significant impact on the F1-score. The Jetson Nano allows the classification of network traffic with an overhead of 10 times in comparison to a traditional server, paving the way to a near real-time GA-based embedded IDS.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"87 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The relationship network between enterprises will change their adoption behavior of AI technology and this micro-decision-making mechanism will eventually decide whether AI technology can diffuse and the extent of diffusion on the macro level. However, the existing AI technology diffusion research mostly focuses on the integration of AI technology with other industries from the industrial level, ignoring the complexity of the micro-complex game process and interactions within the enterprise network on the macro technology diffusion. In this regard, this paper builds a game model of AI technology diffusion in core and non-core enterprises from the levels of market competition and policy incentives based on complex network evolutionary game theory. It does this through simulation analysis that examines the mechanism of key factors affecting the diffusion of AI technology, as well as the influence and combination effects of pertinent policies. The study shows that (1) AI technology diffuses more effectively in non-core enterprises than it does in core enterprises; (2) changes in parameters like technology cost and policy regimes have a more evident impact on core enterprises than non-core ones; (3) in market competition, increasing the network average degree, the proportion of AI technology products in the mainstream market, the opportunity cost, the cost reduction factor, or decreasing the cost of AI technology can all promote the diffusion of AI technology; (4) under policy incentives, increasing the proportion of AI technology subsidies and the influence of high-tech identification of enterprises can both promote the diffusion of AI technology.
{"title":"Simulation Analysis of Artificial Intelligence Technology Diffusion under Market Competition and Policy Incentives Based on Complex Network Evolutionary Game Models","authors":"Xiaofei Ma, Jia Wang","doi":"10.3390/systems12070242","DOIUrl":"https://doi.org/10.3390/systems12070242","url":null,"abstract":"The relationship network between enterprises will change their adoption behavior of AI technology and this micro-decision-making mechanism will eventually decide whether AI technology can diffuse and the extent of diffusion on the macro level. However, the existing AI technology diffusion research mostly focuses on the integration of AI technology with other industries from the industrial level, ignoring the complexity of the micro-complex game process and interactions within the enterprise network on the macro technology diffusion. In this regard, this paper builds a game model of AI technology diffusion in core and non-core enterprises from the levels of market competition and policy incentives based on complex network evolutionary game theory. It does this through simulation analysis that examines the mechanism of key factors affecting the diffusion of AI technology, as well as the influence and combination effects of pertinent policies. The study shows that (1) AI technology diffuses more effectively in non-core enterprises than it does in core enterprises; (2) changes in parameters like technology cost and policy regimes have a more evident impact on core enterprises than non-core ones; (3) in market competition, increasing the network average degree, the proportion of AI technology products in the mainstream market, the opportunity cost, the cost reduction factor, or decreasing the cost of AI technology can all promote the diffusion of AI technology; (4) under policy incentives, increasing the proportion of AI technology subsidies and the influence of high-tech identification of enterprises can both promote the diffusion of AI technology.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"47 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141572070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Effective emergency logistics facility site selection is vital for ensuring prompt and fair food supply during crises. This study tackles the intricate task of choosing optimal sites for emergency food logistics facilities by considering varying urgency levels of needs, uncertain demands, and potential facility interruptions. A novel weighted Mahalanobis distance–gray relational analysis–TOPSIS method is devised to evaluate demand urgency and guide site selection decisions. The proposed location model aims to minimize total cost and unmet demand while integrating discrete scenario strategies to address interruption events. Leveraging the Social Network Search (SNS) algorithm, the model is solved, and its effectiveness is validated through a case study analysis. The results highlight the accuracy of the urgency level determination method in capturing demand characteristics and the model’s provision of an objective and practical framework for formulating rational facility location strategies. This approach holds significant promise for enhancing the promptness and fairness of food supply assurance during emergencies.
{"title":"Facilities Sites Selection Optimization for Food Emergency Logistics to Meet Urgent Demands","authors":"Xiaoqing Zeng, Yanping Chen, Liming Liu","doi":"10.3390/systems12070241","DOIUrl":"https://doi.org/10.3390/systems12070241","url":null,"abstract":"Effective emergency logistics facility site selection is vital for ensuring prompt and fair food supply during crises. This study tackles the intricate task of choosing optimal sites for emergency food logistics facilities by considering varying urgency levels of needs, uncertain demands, and potential facility interruptions. A novel weighted Mahalanobis distance–gray relational analysis–TOPSIS method is devised to evaluate demand urgency and guide site selection decisions. The proposed location model aims to minimize total cost and unmet demand while integrating discrete scenario strategies to address interruption events. Leveraging the Social Network Search (SNS) algorithm, the model is solved, and its effectiveness is validated through a case study analysis. The results highlight the accuracy of the urgency level determination method in capturing demand characteristics and the model’s provision of an objective and practical framework for formulating rational facility location strategies. This approach holds significant promise for enhancing the promptness and fairness of food supply assurance during emergencies.","PeriodicalId":36394,"journal":{"name":"Systems","volume":"57 1","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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