Pub Date : 2024-07-26DOI: 10.54254/2755-2721/70/20241004
Zizhao Lian
Formula 1 racing is held every year. It dissects every part of an F1 car. Through the observation of F1 cars and watching races, the research data comes from real-time data published by major teams and articles published by well-known Chinese papers. If the power source is fixed, that is, the same pressure air is used as the power, and the simulation software is used to quickly and efficiently complete the design of the car model, to achieve higher speed with less air resistance. Everyone can get a clearer and more accurate picture of the structure of the F1 car. And better study the generation and utilization of aerodynamics. Based on the currently available research, this paper know that F1 cars have been pursuing the ultimate ground flight through constant changes to the body. The Formula 1 car is already the worlds most extreme invention of aerodynamics.
一级方程式赛车每年都会举行。它剖析了 F1 赛车的每一个部件。通过对 F1 赛车的观察和观看比赛，研究数据来源于各大车队公布的实时数据和国内知名报刊发表的文章。如果动力源固定，即使用相同压力的空气作为动力，利用仿真软件快速高效地完成赛车模型的设计，以较小的空气阻力实现更高的速度。大家可以更清晰、准确地了解 F1 赛车的结构。并更好地研究空气动力学的产生和利用。根据目前已有的研究，本文知道 F1 赛车通过对车身的不断改变，一直在追求地面飞行的极致。一级方程式赛车已经是世界上最极致的空气动力学发明。
{"title":"The technology of Formula 1 racing car","authors":"Zizhao Lian","doi":"10.54254/2755-2721/70/20241004","DOIUrl":"https://doi.org/10.54254/2755-2721/70/20241004","url":null,"abstract":"Formula 1 racing is held every year. It dissects every part of an F1 car. Through the observation of F1 cars and watching races, the research data comes from real-time data published by major teams and articles published by well-known Chinese papers. If the power source is fixed, that is, the same pressure air is used as the power, and the simulation software is used to quickly and efficiently complete the design of the car model, to achieve higher speed with less air resistance. Everyone can get a clearer and more accurate picture of the structure of the F1 car. And better study the generation and utilization of aerodynamics. Based on the currently available research, this paper know that F1 cars have been pursuing the ultimate ground flight through constant changes to the body. The Formula 1 car is already the worlds most extreme invention of aerodynamics.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"10 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801334","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/72/20240985
Yanxi Yang, Xiaohan Li, Duruo Wang, Zuhang Liu
This article examines the roles of Green and Blue Infrastructures (GBIs) in enhancing urban sustainability, resilience, and environmental justice. It highlights how GBIs promote biodiversity, reduce pollution, and increase climate resilience through integrating technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and digital twinning. These innovations improve the management and operational efficiency of urban planning. The study emphasizes the socio-economic and health benefits provided by GBIs, which incorporate natural elements into urban areas to foster environmental equity and resource accessibility. Advanced technological interventions are crucial for optimizing GBI functionality, ensuring urban environments are resilient and sustainable. The paper advocates for a holistic approach involving community engagement and policy reforms to distribute GBI benefits equitably, aiming to create urban ecosystems that are environmentally sound, socially just, and economically viable.
{"title":"Optimizing urban ecosystems through green and blue infrastructure: Strategies for sustainability, resilience, and justice","authors":"Yanxi Yang, Xiaohan Li, Duruo Wang, Zuhang Liu","doi":"10.54254/2755-2721/72/20240985","DOIUrl":"https://doi.org/10.54254/2755-2721/72/20240985","url":null,"abstract":"This article examines the roles of Green and Blue Infrastructures (GBIs) in enhancing urban sustainability, resilience, and environmental justice. It highlights how GBIs promote biodiversity, reduce pollution, and increase climate resilience through integrating technologies like the Internet of Things (IoT), Artificial Intelligence (AI), and digital twinning. These innovations improve the management and operational efficiency of urban planning. The study emphasizes the socio-economic and health benefits provided by GBIs, which incorporate natural elements into urban areas to foster environmental equity and resource accessibility. Advanced technological interventions are crucial for optimizing GBI functionality, ensuring urban environments are resilient and sustainable. The paper advocates for a holistic approach involving community engagement and policy reforms to distribute GBI benefits equitably, aiming to create urban ecosystems that are environmentally sound, socially just, and economically viable.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"4 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801789","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/70/20240976
Xinyue Fan
In recent years, Chinas rural energy supply security capacity has been enhanced, and the adjustment of energy structure has achieved remarkable results, but there are still some problems: The low utilization rate of waste energy in rural areas restricts the comprehensive utilization of resources and environmental protection, the level of rural energy consumption is always in the stage of development, and the lagging construction of rural energy socialized service system restricts the development of rural energy. In view of the problems and challenges faced by Chinas rural energy development, focus on rural energy consumption. This paper analyzes the basic situation of energy development in Chinas rural areas (taking Lantian County of Shaanxi Province as an example). Under the special premise of Chinas national conditions, the specific characteristics of different development in different regions are integrated, and the traditional fossil energy is gradually replaced by the storage and utilization of rural waste and new energy. The key issues such as the construction of rural energy service system and policy guidance are studied, and the measures and suggestions for promoting the scientific development of rural energy in China are put forward.
{"title":"Problems and prospects of rural energy transformation in China","authors":"Xinyue Fan","doi":"10.54254/2755-2721/70/20240976","DOIUrl":"https://doi.org/10.54254/2755-2721/70/20240976","url":null,"abstract":"In recent years, Chinas rural energy supply security capacity has been enhanced, and the adjustment of energy structure has achieved remarkable results, but there are still some problems: The low utilization rate of waste energy in rural areas restricts the comprehensive utilization of resources and environmental protection, the level of rural energy consumption is always in the stage of development, and the lagging construction of rural energy socialized service system restricts the development of rural energy. In view of the problems and challenges faced by Chinas rural energy development, focus on rural energy consumption. This paper analyzes the basic situation of energy development in Chinas rural areas (taking Lantian County of Shaanxi Province as an example). Under the special premise of Chinas national conditions, the specific characteristics of different development in different regions are integrated, and the traditional fossil energy is gradually replaced by the storage and utilization of rural waste and new energy. The key issues such as the construction of rural energy service system and policy guidance are studied, and the measures and suggestions for promoting the scientific development of rural energy in China are put forward.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"42 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800176","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/78/20240466
Chenxi Wu
This paper offers a comprehensive examination of the Complementary Metal-Oxide-Semiconductor (CMOS) inverter, a quintessential component in contemporary digital integrated circuits, renowned for its minimal power consumption, robust noise resistance, and adaptability. The focus of this investigation is the switching delay of the CMOS inverter, a pivotal attribute that exerts substantial influence on the overall functionality of the circuitry. This discourse undertakes a detailed exploration of the factors contributing to the CMOS inverter switching delay, dissecting the influence of both intrinsic and extrinsic elements. Initially, the analysis delineates the origins of the switching delay in CMOS inverters, categorizing them into internal and external determinants. Subsequently, the study meticulously examines methodologies to modulate these factors, thereby achieving effective control over the delay. By implementing strategic optimizations, this research aims to diminish latency and enhance operational efficiency. Through a theoretical lens, this paper elucidates the complex interplay between these inherent and external factors, culminating in the optimization of the CMOS inverter switching delay. The insights garnered from this analysis are poised to offer a substantive theoretical foundation for the design of more efficient and reliable digital circuits in the current technological milieu.
{"title":"Reduce energy consumption - causes of CMOS inverter switching delay and its influencing factors","authors":"Chenxi Wu","doi":"10.54254/2755-2721/78/20240466","DOIUrl":"https://doi.org/10.54254/2755-2721/78/20240466","url":null,"abstract":"This paper offers a comprehensive examination of the Complementary Metal-Oxide-Semiconductor (CMOS) inverter, a quintessential component in contemporary digital integrated circuits, renowned for its minimal power consumption, robust noise resistance, and adaptability. The focus of this investigation is the switching delay of the CMOS inverter, a pivotal attribute that exerts substantial influence on the overall functionality of the circuitry. This discourse undertakes a detailed exploration of the factors contributing to the CMOS inverter switching delay, dissecting the influence of both intrinsic and extrinsic elements. Initially, the analysis delineates the origins of the switching delay in CMOS inverters, categorizing them into internal and external determinants. Subsequently, the study meticulously examines methodologies to modulate these factors, thereby achieving effective control over the delay. By implementing strategic optimizations, this research aims to diminish latency and enhance operational efficiency. Through a theoretical lens, this paper elucidates the complex interplay between these inherent and external factors, culminating in the optimization of the CMOS inverter switching delay. The insights garnered from this analysis are poised to offer a substantive theoretical foundation for the design of more efficient and reliable digital circuits in the current technological milieu.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"41 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800368","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/78/20240512
Anye Zhong
In the context of utilizing hydrogen as a fuel for internal combustion engines, it is crucial to address its tendency to induce knock more readily under certain conditions compared to gasoline. Knock not only reduces fuel efficiency but also has the potential to inflict detrimental effects on engine components. It is generally believed that knock is primarily caused by the spontaneous combustion of the end-gas mixture. Current research focuses on the frequency, intensity, and statistical characteristics of knock signals.This study aims to introduce two prevalent and effective methods for mitigating knock: increasing the Exhaust Gas Recirculation (EGR) ratio and water injection into the engine. Experimental observations suggest that at low rotational speeds (n=900 rpm), the amplitude spectra of knock induced by hydrogen and gasoline show similarities. However, at higher speeds (n>3000 rpm), the amplitude of hydrogen-induced knock not only exhibits a greater number of peak values but also intensifies in strength. Notably, the efficacy of increasing the EGR ratio diminishes at high speeds, potentially due to the propensity of methane to also cause knock under high-temperature conditions. In contrast, water injection, while generally effective, may adversely impact the lifespan of engine components.In summary, effective suppression of knock in hydrogen-fueled internal combustion engines is vital for accelerating the adoption of hydrogen in the power sector and making significant contributions to environmental conservation. This paper aims to delve into the analysis of these methods effectiveness and proposes directions for future research.
{"title":"Dynamics and mitigation strategies of knock in hydrogen-fueled internal combustion engines","authors":"Anye Zhong","doi":"10.54254/2755-2721/78/20240512","DOIUrl":"https://doi.org/10.54254/2755-2721/78/20240512","url":null,"abstract":"In the context of utilizing hydrogen as a fuel for internal combustion engines, it is crucial to address its tendency to induce knock more readily under certain conditions compared to gasoline. Knock not only reduces fuel efficiency but also has the potential to inflict detrimental effects on engine components. It is generally believed that knock is primarily caused by the spontaneous combustion of the end-gas mixture. Current research focuses on the frequency, intensity, and statistical characteristics of knock signals.This study aims to introduce two prevalent and effective methods for mitigating knock: increasing the Exhaust Gas Recirculation (EGR) ratio and water injection into the engine. Experimental observations suggest that at low rotational speeds (n=900 rpm), the amplitude spectra of knock induced by hydrogen and gasoline show similarities. However, at higher speeds (n>3000 rpm), the amplitude of hydrogen-induced knock not only exhibits a greater number of peak values but also intensifies in strength. Notably, the efficacy of increasing the EGR ratio diminishes at high speeds, potentially due to the propensity of methane to also cause knock under high-temperature conditions. In contrast, water injection, while generally effective, may adversely impact the lifespan of engine components.In summary, effective suppression of knock in hydrogen-fueled internal combustion engines is vital for accelerating the adoption of hydrogen in the power sector and making significant contributions to environmental conservation. This paper aims to delve into the analysis of these methods effectiveness and proposes directions for future research.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"39 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800001","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/70/20241029
Likai Chu
In the field of deep learning, Convolutional Neural Networks (CNN) has become a focal point due to its multi-layered structure and wide application. The success of deep learning is due to the model has more layers and more parameters, which gives it a stronger nonlinear fitting ability. Traditionally, CNNs are primarily run on Central Processing Units (CPUs) and Graphics Processing Units (GPUs). However, CPUs have lower computational power, and GPUs consume a lot of energy. In contrast, Field-Programmable Gate Arrays (FPGAs) offer high parallelism, low power consumption, flexible programming, and rapid development cycles. These combined advantages make FPGAs more suitable for the forward inference processes of deep learning compared to other platforms. However, CNNs has the characteristics of parameter redundancy, the storage cost of deploying it on FPGA is too high. In order to apply CNNs to FPGA, we need to optimize CNNs for compression. Because after compression, This paper analyzes several specific cases of model compression for convolutional neural networks, and summarizes and compares the efficient methods of model compression. The results show that the model compression methods are mainly divided into the structure change of convolutional neural network and the quantization of parameters. The two compression methods can be cascaded at the same time to achieve a better optimization effect.
{"title":"Convolutional neural network model compression method","authors":"Likai Chu","doi":"10.54254/2755-2721/70/20241029","DOIUrl":"https://doi.org/10.54254/2755-2721/70/20241029","url":null,"abstract":"In the field of deep learning, Convolutional Neural Networks (CNN) has become a focal point due to its multi-layered structure and wide application. The success of deep learning is due to the model has more layers and more parameters, which gives it a stronger nonlinear fitting ability. Traditionally, CNNs are primarily run on Central Processing Units (CPUs) and Graphics Processing Units (GPUs). However, CPUs have lower computational power, and GPUs consume a lot of energy. In contrast, Field-Programmable Gate Arrays (FPGAs) offer high parallelism, low power consumption, flexible programming, and rapid development cycles. These combined advantages make FPGAs more suitable for the forward inference processes of deep learning compared to other platforms. However, CNNs has the characteristics of parameter redundancy, the storage cost of deploying it on FPGA is too high. In order to apply CNNs to FPGA, we need to optimize CNNs for compression. Because after compression, This paper analyzes several specific cases of model compression for convolutional neural networks, and summarizes and compares the efficient methods of model compression. The results show that the model compression methods are mainly divided into the structure change of convolutional neural network and the quantization of parameters. The two compression methods can be cascaded at the same time to achieve a better optimization effect.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"17 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141800967","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/70/20240998
Yike Wang
Molybdenum is not only an excellent photovoltaic material but also a crucial component in semiconductors. However, its high bandgap restricts its application in optoelectronic devices. This limitation arises primarily because the energy barrier between photogenerated electron-hole pairs cannot be directly overcome by sunlight. Self-irradiation can overcome these barriers, allowing efficient separation of photogenerated electrons and holes, making molybdenum an excellent light-absorbing material. By altering the charge state of molybdenum-based materials, their light absorption can be adjusted. This project aims to systematically study the optical properties and electronic stopping power of molybdenum-based materials in different charge states through theoretical calculations and experiments.
{"title":"The electronic stopping power of self-irradiated molybdenum in different charge states","authors":"Yike Wang","doi":"10.54254/2755-2721/70/20240998","DOIUrl":"https://doi.org/10.54254/2755-2721/70/20240998","url":null,"abstract":"Molybdenum is not only an excellent photovoltaic material but also a crucial component in semiconductors. However, its high bandgap restricts its application in optoelectronic devices. This limitation arises primarily because the energy barrier between photogenerated electron-hole pairs cannot be directly overcome by sunlight. Self-irradiation can overcome these barriers, allowing efficient separation of photogenerated electrons and holes, making molybdenum an excellent light-absorbing material. By altering the charge state of molybdenum-based materials, their light absorption can be adjusted. This project aims to systematically study the optical properties and electronic stopping power of molybdenum-based materials in different charge states through theoretical calculations and experiments.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"6 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801230","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/70/20240989
Zeguang Yang
This paper provides a comprehensive analysis of the current effective measures for managing geological disasters and ecological damage caused by mining engineering development. The discussion primarily focuses on two aspects: engineering technology and ecological management. It is clear that slope stabilization technology, drainage and waterproof system construction, vegetation restoration, and artificial humidity construction play active roles in the management of geological disasters and ecological restoration in mining areas. These measures not only effectively control geological disasters but also significantly improve the ecological environment, enhance the self-recovery capacity of regional ecosystems, and achieve harmonious development of society, economy, and environment.
{"title":"Analysis of geological disaster management and ecological restoration measures in mining engineering","authors":"Zeguang Yang","doi":"10.54254/2755-2721/70/20240989","DOIUrl":"https://doi.org/10.54254/2755-2721/70/20240989","url":null,"abstract":"This paper provides a comprehensive analysis of the current effective measures for managing geological disasters and ecological damage caused by mining engineering development. The discussion primarily focuses on two aspects: engineering technology and ecological management. It is clear that slope stabilization technology, drainage and waterproof system construction, vegetation restoration, and artificial humidity construction play active roles in the management of geological disasters and ecological restoration in mining areas. These measures not only effectively control geological disasters but also significantly improve the ecological environment, enhance the self-recovery capacity of regional ecosystems, and achieve harmonious development of society, economy, and environment.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"9 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141801414","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}
Pub Date : 2024-07-26DOI: 10.54254/2755-2721/82/2024glg0054
Xianghui Meng
In the rapidly advancing field of AI and ML, this paper explores their pivotal role in transforming cybersecurity. Highlighting the integration of sophisticated techniques like deep learning for intrusion detection and reinforcement learning for adaptive threat modeling, it emphasizes the shift towards AI-driven cybersecurity solutions. The study meticulously analyzes supervised and unsupervised learning's impact on threat detection accuracy and the dynamic capabilities of neural networks in real-time threat identification. It reveals how these methodologies enhance digital defenses against complex cyber threats, underscoring the theoretical underpinnings and practical applications of AI and ML in cybersecurity. The paper also discusses the challenges and future directions, contributing significant insights into the evolving landscape of cybersecurity technologies. This comprehensive research background sets the stage for understanding the unique contributions and potential of AI and ML in strengthening cybersecurity measures.
在快速发展的人工智能和 ML 领域，本文探讨了它们在网络安全变革中的关键作用。本文重点介绍了入侵检测深度学习和自适应威胁建模强化学习等复杂技术的集成，强调了向人工智能驱动的网络安全解决方案的转变。研究细致分析了监督和非监督学习对威胁检测准确性的影响，以及神经网络在实时威胁识别中的动态能力。它揭示了这些方法如何增强针对复杂网络威胁的数字防御，强调了人工智能和 ML 在网络安全中的理论基础和实际应用。论文还讨论了面临的挑战和未来的发展方向，对网络安全技术不断发展的前景提出了重要见解。这一全面的研究背景为了解人工智能和 ML 在加强网络安全措施方面的独特贡献和潜力奠定了基础。
{"title":"Advanced AI and ML techniques in cybersecurity: Supervised and unsupervised learning, reinforcement learning, and neural networks in threat detection and response","authors":"Xianghui Meng","doi":"10.54254/2755-2721/82/2024glg0054","DOIUrl":"https://doi.org/10.54254/2755-2721/82/2024glg0054","url":null,"abstract":"In the rapidly advancing field of AI and ML, this paper explores their pivotal role in transforming cybersecurity. Highlighting the integration of sophisticated techniques like deep learning for intrusion detection and reinforcement learning for adaptive threat modeling, it emphasizes the shift towards AI-driven cybersecurity solutions. The study meticulously analyzes supervised and unsupervised learning's impact on threat detection accuracy and the dynamic capabilities of neural networks in real-time threat identification. It reveals how these methodologies enhance digital defenses against complex cyber threats, underscoring the theoretical underpinnings and practical applications of AI and ML in cybersecurity. The paper also discusses the challenges and future directions, contributing significant insights into the evolving landscape of cybersecurity technologies. This comprehensive research background sets the stage for understanding the unique contributions and potential of AI and ML in strengthening cybersecurity measures.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"115 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802106","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}
Pub Date : 2024-07-25DOI: 10.54254/2755-2721/55/20241520
Jizhuo Yang
The article describes Snapchat as an example of a social software that violates user privacy and protects user privacy, which can be reflected from it. The article collates some of Snapchats feature innovations and unique features (compared to other social software) and explains why it has been successful in a short period of time. Most of the papers on Snapchat have focused on Snapchats marketing strategy, rather than the software itself and its impact on users. Therefore, the author of this paper considers from the perspective of users to supplement Snapchats use and protection of user privacy. In addition, this paper discusses Snapchats protection of user privacy and the innovation of its functions, and compares it with Chinese social media, which puts forward more possibilities for the development of social media.
{"title":"Snapchat for user privacy and emotional communication phenomenon","authors":"Jizhuo Yang","doi":"10.54254/2755-2721/55/20241520","DOIUrl":"https://doi.org/10.54254/2755-2721/55/20241520","url":null,"abstract":"The article describes Snapchat as an example of a social software that violates user privacy and protects user privacy, which can be reflected from it. The article collates some of Snapchats feature innovations and unique features (compared to other social software) and explains why it has been successful in a short period of time. Most of the papers on Snapchat have focused on Snapchats marketing strategy, rather than the software itself and its impact on users. Therefore, the author of this paper considers from the perspective of users to supplement Snapchats use and protection of user privacy. In addition, this paper discusses Snapchats protection of user privacy and the innovation of its functions, and compares it with Chinese social media, which puts forward more possibilities for the development of social media.","PeriodicalId":502253,"journal":{"name":"Applied and Computational Engineering","volume":"18 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141802444","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}
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