检索结果-内蒙古大学图书馆

2024 IAF Businesses and Innovation Symposium at the 75th International Astronautical Congress, IAC 2024

作者： Almuqren, Latifah Information Systems Department College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh11564 Saudi Arabia

ISBN: (纸本)9798331312343

Artificial Intelligence (AI) has become indispensable in various fields, and now it is making its way into supporting mental health. Astronauts undergo immense physical and psychological challenges during space missions. The isolation and confinement they experience can lead to feelings of loneliness, anxiety, and depression. Additionally, extreme space environments, such as zero gravity and constant radiation exposure, can further impact their mental well-being. Traditional methods of mental health support, such as face-to-face counselling, are limited in space due to communication constraints and the unavailability of mental health professionals. AI can play a crucial role in promoting the well-being of astronauts facing unique space challenges. Therefore, new approaches are imperative to address these challenges effectively. Quite a few initiatives in this domain include the Crew Interactive Mobile Companion (CIMON) [4], a specialized robot developed for astronauts by NASA and IBM. This unique robot can independently move within the International Space Station, facilitating communication with astronauts and supporting various operational tasks. This robot cannot predict the mental health of astronauts. By monitoring astronauts' physiological and behavioural indicators, AI can detect patterns and changes that may indicate mental health issues. This proactive approach allows for early intervention and tailored support, ensuring the well-being of astronauts throughout their missions. AI-powered systems can continuously monitor astronauts' mental well-being by analyzing various data sources. These sources include vital signs, sleep patterns, voice recordings, and social media activity. By integrating these data points, AI algorithms can detect mood, emotional state, and overall mental health changes. This monitoring enables the detection of potential issues before they escalate, providing astronauts with timely support and intervention. This paper proposes a new fram

关键词： NASA

来源：评论

学校读者我要写书评

暂无评论

Leveraging Social Learning for Improved Cybersecurity Maturity: A Case Study Using the NIST Framework

Leveraging Social Learning for Improved Cybersecurity Maturi...

引用

2024 International Conference on information Technology and Computing, ICITCOM 2024

作者： Marcel Meyliana Hendric Spits Warnars, Harco Leslie Nugraha Mursitama, Tirta BINUS Graduate Program Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia Krida Wacana Christian University Information Systems Department Jakarta Indonesia School of Information Systems Bina Nusantara University Information Systems Department Jakarta Indonesia BINUS Business School Bina Nusantara University Management Department Jakarta Indonesia

ISBN: (纸本)9798350379839

This research shows that social learning can be used to increase an organization's cybersecurity maturity level. Using a literature study and case study approach. Literature studies are used to identify social learning's key success factors (KSF) and challenges in general. Then, the case study was performed in the context of assessing the maturity level of information security using the NIST Cybersecurity framework at ABC Software House, a small-scale software development company in Indonesia. Assessment activities are performed through FGDs which then also identify the most relevant social learning' KSF to increase the organization's information security maturity level. Next, referring to the selected KSF, a process of identifying and mapping social learning' challenges was carried out. The integration of social learning can help organizations gain better focus and understanding in nontechnical contexts to increase their maturity level. This research highlights that integrating social learning with the NIST cybersecurity framework can provide organizations with better focus and perspective for formulating non-technical solutions. This study also enriches the existing literature on social learning in cybersecurity and offers practical insights for organizations looking to improve their cybersecurity resilience. © 2024 IEEE.

关键词： case study cybersecurity maturity level NIST social learning

来源：评论

学校读者我要写书评

暂无评论

Deploying On-Device AIGC Inference Services in 6G via Optimal MEC-Device Offloading

IEEE Networking Letters

引用

IEEE Networking Letters 2024年第4期6卷 232-236页

作者： Zhou, Changshi Liu, Weiqi Han, Tao Ansari, Nirwan New Jersey Institute of Technology Department of Electrical and Computer Engineering NewarkNJ07102 United States Auburn University at Montgomery Department of Computer Science and Computer Information Systems MontgomeryAL36117 United States

From AI-assisted art creation to large language model (LLM)-powered ChatGPT, AI-generated contents and services are becoming a transforming force. It calls for the telecom industry to embrace the prospects of AIGC services and face the unique challenges posed by incorporating generative model services into the AI-native 6G wireless network paradigm. We propose enabling AIGC inference services on mobile devices by optimizing MEC-device computing offloading, through which AIGC task latency is minimized by reinforcement learning based policy agent in a computing resource constrained and bandwidth limited wireless environment. Simulation results are presented to demonstrate the performance advantage. © 2019 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Development and Research of Models for Optimization information Flow in Interactive Analysis Big Data in Geographic information systems

Development and Research of Models for Optimization Informat...

引用

International Conference on Emerging Trends and Applications in Artificial Intelligence, ICETAI 2023

作者： Alrammahi, Ali Abdulkarem Habib Sari, Farah Abbas Obaid Hilal, Bushra Kamil Department of Computer Sciences Faculty of Computer Science and Mathematics University of Kufa Najaf Iraq Department of Computer Information Systems Faculty of Computer Science and Information Technology University of Qadisiya Qadisiya Iraq

ISBN: (纸本)9783031567278

A large number of areas of application of geographic information systems (GIS) involves the continuous accumulation data. The need to record the state of an observed object or phenomenon generates an intense flow of heterogeneous data over long-time intervals. The period of storage of the received information in many cases is not limited and is limited solely technical capabilities of archiving information. For this reason, GIS databases correspond to modern ideas about big data (big data), since they have a significant volume that is constantly growing, are heterogeneous in presentation formats, and have a value determined by a reliable display of objects, phenomena and events of the real world. A new model of representation of the analysis workspace by two informational components, skeleton and environment, is proposed. The skeleton is formed by deterministic queries to the GIS database, the environment is built by intelligent procedures as a shell of the skeleton. The difference of the proposed concept is the use of a utility function, the parameters of which are the complexity of the skeleton and the environment. The application of the proposed concept allows optimizing the quality of decision-making by maximizing the utility function of the workspace. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Geographic information systems

来源：评论

学校读者我要写书评

暂无评论

Automated Generation of Multi-tenant Database systems Based upon System Design Diagrams 5th

Automated Generation of Multi-tenant Database Systems Based ...

引用

5th International Conference on information systems and Management Science, ISMS 2022

作者： Camilleri, Rebecca Vella, Joseph G. Department of Computer Information Systems Faculty of Information and Communication Technology University of Malta Msida Malta

ISBN: (纸本)9783031311529

Energetic technological advancements in the past decade, have led to an exponential increase in the amount of data being stored. Consequently, the need for effective Database Management systems (DBMSs) which embody security considerations from the initial stages of database design is imperative in modern information systems development. This prerequisite is further accentuated by the recent transitioning from single tenant information systems to multi-tenant based on public cloud infrastructures. Within this context, this paper proposes a computer-Aided Software Engineering (CASE) tool capable of generating secure database related structures and processes. A comprehensive overview of a specific information system design is provided to the CASE tool by means of entity-relationship diagram, entity life history and dataflow diagram. Subsequently, crucial security controls targeted towards the protection of database objects are incorporated by means of discretionary and role-based access controls. Following the encoding of the system’s design data is adorned with the required security elements, the CASE tool performs an in-depth analysis that aids in the detection of potential security pitfalls. Provided that the database design enhanced with security elements is satisfactory, i.e., all checks conducted are successful, the CASE tool generates Structured Query Language (SQL) language constructs for well-known multi-tenant scenarios. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： information systems

来源：评论

学校读者我要写书评

暂无评论

Learning cross-modal interaction for RGB-T tracking

引用

Science China(information Sciences) 2023年第1期66卷 320-321页

作者： Chunyan XU Zhen CUI Chaoqun WANG Chuanwei ZHOU Jian YANG Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology

Dear editor,Visual object tracking, which has attracted increasing attention in the field of general visual understanding, aims to track each temporally changing object in a video sequence, with the target specified only in the first *** most tracking algorithms have facilitated significant advances in RGB video sequences, object tracking using only RGB information is unreliable under extreme lighting conditions(e.g., dark night, rain, and foggy).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancing Anomaly Detection in Agriculture by Considering the Impact of Concept Drift: An Exploratory Study Using Digital Replica 23

Enhancing Anomaly Detection in Agriculture by Considering th...

引用

5th World Symposium on Software Engineering, WSSE 2023

作者： Huo, Dongyang Malik, Asad Waqar Ravana, Sri Devi Ur Rahman, Anis Ahmedy, Ismail Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia Islamabad Pakistan Department of Computer Systems and Technology Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia

ISBN: (纸本)9798400708053

The advent of precision agriculture is disrupting traditional farming practices, leading to a significant increase in the data flow. However, current anomaly detection methods overlook the impact of concept drift. The phenomenon of concept drift refers to the changes in the underlying distribution of the data over time, which can result in unexpected and misleading results. As such, it is essential to consider the impact of theconcept drift in the context of anomaly detection in precision agriculture. This study uses a digital replica of an agricultural system equipped with intelligent agents to examine the system dynamics and the temporal variability of end-to-end data flow in precision agriculture. It highlights the need for robust methods that can effectively address the challenges posed by concept drift and systems’ dynamism enabling accurate and reliable anomaly detection in the IoT farming system. © 2023 Copyright held by the owner/author(s).

关键词： Precision agriculture

来源：评论

学校读者我要写书评

暂无评论

Improving smart contract search by semantic and structural clustering for source codes

引用

Blockchain(Research and Applications) 2023年第2期4卷 1-11页

作者： Alkhansaa A.Abuhashim Chiu C.Tan Computer and Information Science Temple UniversityPhiladelphiaPA 19122USA Information Systems Al-Imam Muhammad Ibn Saud UniversityRiyadh 11564Saudi Arabia

The search for smart contract source codes has drawn research attention to fulfill developers’and researchers’***,the existing studies are not mature enough to address smart contracts’technical properties and *** paper proposes a system to improve the naive search for smart contract codes;for example,Etherscan has one keyword search feature without regard to the contract *** consider clustering smart contracts based on developers’preferences,which increases the probability that the resulting source codes match developers’*** experimental results show a significant improvement in the complexity of the retrieved source codes of smart contracts compared with the baseline scenario using blockchain search engines(e.g.,Etherscan).Our solution reduces the number of retrieved smart contract codes the developer has to check if the codes match her/his needs by 94%,88%,82%,or 98%,depending on the user’s search preferences.

关键词： Smart contract Blockchain Features Semantic Clustering

来源：评论

学校读者我要写书评

暂无评论

Exploring a Mixer-Based Model for Enhanced Loop Closure Detection in Robotic Navigation 24

Exploring a Mixer-Based Model for Enhanced Loop Closure Dete...

引用

7th International Conference on Computational Intelligence and Intelligent systems, CIIS 2024

作者： Go, Kendra Kirsten L. Alampay, Raphael B. Department of Information Systems and Computer Science Ateneo de Manila University Metro Manila Quezon City Philippines

ISBN: (纸本)9798400717437

Mixers offer a strong balance between resource efficiency and accuracy which makes them promising feature extractors for loop closure detection (LCD). This paper evaluates the performance of Mixers in LCD by comparing them against handcrafted and learned feature extractors. Using a Siamese architecture with dynamic margin distance, Mixers effectively distinguish loops from non-loops. In most of the chosen datasets, the proposed model achieved higher MR scores than that of the other models while requiring fewer resources. These results demonstrate that the Mixer-based approach is both effective and resource-efficient compared to current methods. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Mixers (machinery)

来源：评论

学校读者我要写书评

暂无评论

Focus-Shifting Attack: An Adversarial Attack That Retains Saliency Map information and Manipulates Model Explanations

引用

IEEE Transactions on Reliability 2024年第2期73卷 808-819页

作者： Huang, Qi-Xian Chiang, Lin-Kuan Chiu, Min-Yi Sun, Hung-Min National Tsing Hua University Institute of Information Systems and Applications Hsinchu30013 Taiwan National Tsing Hua University Department of Computer Science Hsinchu30013 Taiwan

With the increased use of deep learning in many fields, a question has been raised: 'How much should we trust the results generated by deep learning models?' Thus, there has been much research into the interpretations of model results, in order to open the black box of deep learning. The focus is more on interpretation than prediction in some fields such as medicine. Adversarial attacks are the most direct threats to deep learning models. They can add undetectable perturbations to the data to make the models give incorrect results, and model explanations are also susceptible to attacks. This leads to a loss of trust in explanations provided by the models, limiting the application and commercial value of deep learning. This research proposes a targeted adversarial attack algorithm that manipulates the interpretation of the model. Unlike other adversarial attacks on model interpretation, focus-shifting attack (FS Attack) can preserve the numerical depth of the original saliency map without specifying a perturbation budget. Experiments have shown that the FS Attack has a higher degree of image similarity and misleading interpretation than other adversarial attacks, and the property of preserving the numerical depth of the original saliency map makes it more difficult to detect. This study uses several common explanation methods as experimental subjects to investigate how these explanations can be manipulated and evaluate the effectiveness of the attack under different conditions. Under a particular interpretation, the FS Attack has a highly successful attack rate of 94.6%, which is a critical adversarial attack. © 1963-2012 IEEE.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：