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TSDSI Standards Driven Implementation of Smart Radio Environment 17

TSDSI Standards Driven Implementation of Smart Radio Environ...

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17th IEEE international conference on Advanced Networks and Telecommunications systems, ANTS 2023

作者： Shrivastava, Amit K. Kumar, Satish Sahu, Khushboo Sonwani, Bhavesh Sharma, Dixit Srivastava, Dipti S. Garg, Navneet Kherani, Arzad Alam Bhatia, Vimal Mukherjee, Soumava Mukhopadhyay, Samrat Das, Priyanka Mahapatra, Rajarshi Das, Debanjan Lall, Brejesh Iit Department of Electrical Engineering and Computer Science Bhilai India Iiit Department of Electronics and Communication Engineering Bangalore India Iiit Department of Electronics and Communication Engineering Naya Raipur India Department of Electronics Engineering Dhanbad India Iit Department of Electrical Engineering Indore India Iit Department of Electrical Engineering Jodhpur India Iit Department of Electrical Engineering Delhi India

ISBN: (纸本)9798350307672

this paper presents a prototype implementation of a smart radio environment (SRE) based communication system. A reflecting plate, reconfigurable intelligent surface (RIS) is placed between the transmitter and receiver to build the SRE. the RIS can rotate to reflect the incident wave to a particular direction. the experimental model consists of a channel estimator (CE), a generic RIS controller (GRC), and a RIS-specific controller (RSC). the channel estimator is equipped with two universal software radio peripheral's (USRP's) that act as transmitter and receiver. Further, based on the desired throughput requirements, the CE sends commands to the GRC, which in turn sends commands to the RSC that controls the RIS. Since a RIS can be designed and fabricated in many ways, a Telecommunications Standards Development Society, India (TSDSI) standard is in place to list the interface/messages between the wireless system and the RIS. these standardized commands are used to exchange messages between the GRC and RSC. With this setup, the received power improvement of around 20 dBm has been achieved if RIS is deployed. Also, an algorithm at GRC finds the beamforming angle where the received power is maximized. © 2023 IEEE.

关键词： Controllers

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Secure the 5G and Beyond Networks with Zero Trust and Access Control systems for Cloud Native Architectures

Secure the 5G and Beyond Networks with Zero Trust and Access...

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ACS/IEEE international conference on computer systems and Applications

作者： Hisham A. Kholidy Keven Disen Andrew Karam Elhadj Benkhelifa Mohammad A. Rahman Atta-Ur Rahman Ibrahim Almazyad Ahmed F. Sayed Rakia Jaziri Dept. of Networks and Computer Security College of Engineering SUNY Polytechnic Institute Utica NY USA Dept. of Networks and Comp. Security SUNY Polytechnic Institute Utica NY USA The Air Force Research Laboratory (AFRL RIGB) Rome NY USA Smart Systems AI and Cybersecurity Research Centre Staffordshire Univ. UK Dept of Electrical and Computer Engineering Florida International University USA Dept. of Computer Science Imam Abdulrahman Bin Faisal University Dammam Saudi Arabia Dept. of Electrical and Computer Engineering Univ. of Arizona Tucson AZ USA Transmission Dept. Telecom Egypt Fayoum Egypt Paragraphe Research Lab. Univ. of Paris VIII France

5G networks are highly distributed, built on an open service-based architecture that requires multi-vendor hardware and software development environments, all of which create a high attack surface in the 5G networks than other proprietary fixed-function networks. Besides that, cloud-native architectures also present new security challenges. Cloud-native separates monolithic virtual machines into microservice pods, resulting in higher volumes of signaling and communication flowing through and between microservices. In addition, secure connections in monolithic applications have been replaced by untrusted communication between microservice pods, requiring additional cybersecurity capabilities. Access control systems were created to provide reliability and limit access to an organization’s assets. However, due to technology's constant evolution and dynamicity, these conventional security systems lack the security to protect an organization’s information because they were created to address access control for known users. For 5G based cloud native technology, these access controls need to be taken further by implementing a Zero Trust model to secure one’s essential assets for all users within the system. Zero Trust is implemented in an access control system under the concept "Never Trust, Always Verify". In this paper, we implement zero trust as a factor within access control systems by combining the principles of access control systems and zero-trust security by factoring in the user’s historical behavior and recommendations into the mix.

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Exploring How Cybersecurity Competitions Can Help Improve Students’ Practical Abilities in Cybersecurity 7th

Exploring How Cybersecurity Competitions Can Help Improve St...

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7th international conference on Innovative Computing, IC 2024

作者： Wang, Longjuan Zhou, Xiaoyi Qin, Xiaoli Shi, Zhaoxin School of Computer Science and Cyberspace Security Hainan University Haikou570228 China Key Laboratory of Internet Information Retrieval of Hainan Province Haikou570228 China

ISBN: (纸本)9789819741816

Cyberspace security was set as a first-level subject in 2015. Currently, 133 colleges and universities across the country have established information security majors. the demand for network security talents has continued to grow in recent years. Network security talents need to have strong practical abilities. With the development of cyberspace security, various security competitions have sprung up. How to use network security competitions to improve the practical ability of network security talents is an important research topic significance. this paper analyzes the existing problems in talent training, proposes reforms from four aspects: curriculum content, training plan, competition platform, and teacher ability based on the training situation of information security students in our school, and explores measures that can improve students’ practical ability. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network security

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Automatic Educational Question Generation with Difficulty Level controls 24th

Automatic Educational Question Generation with Difficulty Le...

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24th international conference on Artificial Intelligence in Education (AIED)

作者： Jiao, Ying Shridhar, Kumar Cui, Peng Zhou, Wangchunshu Sachan, Mrinmaya Swiss Fed Inst Technol Zurich Switzerland

ISBN: (纸本)9783031362712;9783031362729

We consider the task of automatically generating math word problems (MWPs) of various difficulties that meet the needs of teachers in teaching and testing students in corresponding educational stages. Existing methods fail to produce high-quality problems while allowing the teacher control over the problem difficulty level. In this work, we introduce a controllable MWP generation pipeline that samples from an energy language model with various expert model components for realizing the target attributes. We control the difficulty of the resulting MWPs from mathematical and linguistic aspects by imposing constraints on equations, vocabulary, and topics. We also use other control attributes including fluency and distance to the conditioning sequence to manage language quality and creativity. Experiments and evaluation results demonstrate our approach improves upon the baselines in generating solvable, well-formed, and diverse MWPs of controlled difficulty levels. Lastly, we solicit feedback from various math educators who approve the effectiveness of our system for their MWP design processes. they suggest our outputs align with the expectations of problem designers showing a possibility of using such problem generators in real-life educational scenarios. Our code and data are available on request.

关键词： Math Word Problem generation Automatic Educational Question generation Controllable text generation

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A Case Study of Usability in Virtual controls 1

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10th international conference on Design, User Experience, and Usability held as Part of the 23rd international conference on Human-computer Interaction (HCII)

作者： Paul, Gunther Porter, Shane thomas, Bruce James Cook Univ Mackay Qld 4740 Australia Univ South Australia Adelaide SA Australia

ISBN: (数字)9783030782276

ISBN: (纸本)9783030782276;9783030782269

this paper presents the results of a spatial augmented reality (SAR) feasibility study that compares interactions with seven different physical to virtual projected buttons. the virtual 3-D projected buttons in this case act like a touch screen;they are flat, provide no depth feedback when pressed, and activate on touch regardless of how much pressure is used. the study investigated whether these properties impacted on how users interacted with the buttons, and if they influenced the performance of button operation. In the experiment, 13 participants pressed physical and virtual buttons while their movements were recorded with a VICON MX20 motion tracking system. Two types of physical and virtual buttons showed similar performance results, such as how quickly the subjects reacted, or how the hand accelerated to press the button. Physical and virtual buttons were equally rated by the subjects. the study supports usage of SAR technology in Product Development.

关键词： Spatial augmented reality Usability Binary control Virtual control

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ECM: An Energy-efficient HVAC Control Framework for Stable Construction Environment

ECM: An Energy-efficient HVAC Control Framework for Stable C...

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IEEE Communications Society conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Jin-Sung Ok Youngeun Chae Harin Seo Soon-Do Kwon Byungchul Tak Young-Kyoon Suh Digital Solution R&D Center Hanwha Ocean Geoje Korea School of Computer Science & Engineering Kyungpook National University Daegu Korea

A cargo containment system (CCS) of liquefied natural gas (LNG) is an essential component of an LNG carrier (LNGC). During the manufacturing process of the LNGC CCS, it is critical that the heating, ventilation, and air conditioning (HVAC) facility stabilizes the environmental states inside the CCS at all times to prevent devastating rust and dew from forming inside the LNGC CCS. One critical problem is that it consumes enormous power, resulting in high expenses. To alleviate this problem, we propose our design of a novel data-driven framework, termed ECM, that uses a combination of machine learning and deep reinforcement learning (DRL) models to robustly and automatically control the HVAC system. Based on selected features, we develop the best indoor-environment forecasting model from several candidate models and build an HVAC control agent by training the DRL model with the reward function that uses the predicted temperature and humidity through the forecasting model. To validate our proposed framework, we have assessed the performance of our models on the real-world sensor data obtained from one of the major world-class shipyards. As a result, we show that our DRL-based model trained in the proposed framework stably controls the temperature inside the CCS within only 1.$5^{\mathrm{o}}$C variance in the set range from 2$3^{\mathrm{o}}$C to 2$5^{\mathrm{o}}$C while on average consuming power up to about 34% less than the compared existing methods. We expect our framework will bring an annual savings of about ${\$}$ 14 million or more once deployed in the actual field.

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Research on the Influence of Disclosure of Key Audit Matters on Audit Quality under Information Technology Environment 10

Research on the Influence of Disclosure of Key Audit Matters...

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10th international Symposium on Project Management, ISPM 2022

作者： Wang, Yan Fu, Yuxuan Liu, Jun School of Accounting Guangdong University of Foreign Studies Guangdong Province Guangzhou510006 China Research Center for Accounting and Economic Development of Guangdong-Hong Kong-Macao Greater Bay Area Guangdong Province Guangzhou510006 China Lancaster University Management School Lancaster University LancasterLA1 4YW United Kingdom

ISBN: (纸本)9781921712807

the international Auditing and Assurance Standards Board (IAASB) completed the revision Audit Reporting Guidelines series in 2014. Most notably, in order to increase the amount of information contained in audit reports, the Certified Public Accountant is required to communicate key audit matters when issuing audit reports after 15 December 2016. However, the existing research fails to clarify the impact of disclosure of key audit matters on audit quality. this paper holds that under the network economic environment, with the help of Information Technology and computer audit, the traditional financial report mode can efficiently change to the direction of providing audit report on demand, the use of computer software can not only analyze the financial situation, operating results and cash flow of enterprises, but also evaluate the audit quality of enterprises. this paper selects the data of China's a-share listed companies in 2015, 2016 and 2017 as samples and makes an empirical analysis using STATA, a computer software. the results show that the disclosure of key audit matters in the final audit report is helpful to improve audit quality, based on this conclusion, the author thinks about how to improve our audit system and provide technical support for the reform of financial reporting mode by means of computer audit under the environment of Information Technology. © conference Proceedings of the 10th international Symposium on Project Management, China, ISPM 2022.

关键词： computer software

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Image Fusion Algorithm Based on Laplacian Pyramid and Principal Component Analysis Transforms 5

Image Fusion Algorithm Based on Laplacian Pyramid and Princi...

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5th international conference on computer Network, Electronic and Automation, ICCNEA 2022

作者： Li, Dangjuan Dong, Xiaoyu Wang, Kexuan Zhou, Mi Chen, Hang Su, Junhong Xi'an Technological University School of Optoelectronics Engineering Xi'an China Shaanxi Institute of Applied Physical Chemistry Science and Technology on Applied Physical Chemistry Laboratory Xi'an China Harbin Institute of Technology Department of Automation Measurement and Control Harbin China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

Herein, a novel image fusion algorithm based on Laplacian pyramid transform and principal component analysis (PCA) is proposed. In this algorithm, a multi-resolution transform called Laplacian pyramid transform is used to decompose the original image into sub-images. In the transform domain, the coefficients of the various sub-images are combined using a novel fusion rule that utilizes the PCA technique. Finally, the new coefficients are used in the reconstruction of the fused image. Numerical simulations are performed to test the validity and capability of the proposed fusion algorithm. the average gradient values of PCA fusion, Laplacian pyramid fusion, and the proposed fusion method, are tested, respectively. the average gradient values of the proposed method are larger than the other two methods, especially for the spectral bands over 600nm. the three methods performed a bit inferior between the 500nm and 600nm bands compared to the other spectral bands. the Laplacian pyramid transform fusion algorithm seems relatively stable, but it is obvious that the proposed fusion algorithm has a superior performance in the visible range. Moreover, the principal component of the original image was utilized, thus, preserving the spectral information of the hyperspectral image. © 2022 IEEE.

关键词： Principal component analysis

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Capabilities2 for ROS2: Advanced Skill-Based Control for Human-Robot Interaction 25

Capabilities2 for ROS2: Advanced Skill-Based Control for Hum...

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ACM/IEEE international conference on Human-Robot Interaction (HRI)

作者： Michael Pritchard Kalana Ratnayake Buddhi Gamage Maleen Jayasuriya Damith Herath Collaborative Robotics Laboratory Faculty of Science and Technology University of Canberra

ISBN: (数字)9798350378931

ISBN: (纸本)9798350378948

In the early days of the Open Source Robotics Foundation, a lesser-known project aimed to design an “app-able robot”, leading to the creation of the “Capabilities” package for the Robot Operating system (ROS). Over a decade later, formulating robot capabilities remains a significant technical hurdle in bringing robots from the lab into everyday life. this paper introduces Capabilities2, a successor to the original Capabilities package, now reimagined for ROS2. Capabilities2 enhances the original design by enabling advancements in skill-based control techniques and offering a more efficient, extensible framework for defining and utilising robot capabilities. We delve into its application in new real-world scenarios, with a particular focus on human-robot interactions and the deployment of collaborative mobile robots in human-centric environments. Capabilities2 addresses challenges in implementing intuitive, collaborative robots by introducing an abstracted database handler, an object-relational mapping for capability models, and a plugin architecture for capability execution. these features support dynamic capability representation, runtime adaptability, and integration with modern AI techniques for skill-based task planning. By providing a standardised yet flexible framework, Capabilities2 reduces the integration effort required to develop top-level controls for real-world scenarios, facilitating rapid development and deployment. Our contributions include the reimplementation of the Capabilities package in ROS2, enhancements to support contemporary robotic applications, and demonstrations of new use cases enabled by Capabilities2. We believe that Capabilities2 significantly advances the field of robotics by equipping developers with tools to create more capable, adaptable, and interactive robots. Capabilities2 is available at https://***/CollaborativeRoboticsLab/capabilities2

关键词： Runtime Databases Operating systems Human-robot interaction Machine learning Collaborative robots Planning Mobile robots Robots Interoperability

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Automatic Classification system for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test 9th

Automatic Classification System for Diagnosis of Cognitive I...

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9th international Work-conference on the Interplay Between Natural and Artificial Computation (IWINAC)

作者： Jimenez-Mesa, C. Arco, Juan E. Valenti-Soler, M. Frades-Payo, B. Zea-Sevilla, M. A. Ortiz, A. Avila-Villanueva, M. Castillo-Barnes, Diego Ramirez, J. Del Ser-Quijano, T. Carnero-Pardo, C. Gorriz, J. M. Data Sci & Computat Intelligence DASCI Inst Granada Spain Univ Granada Signal Theory Telemat & Commun Dept Granada Spain Univ Malaga Commun Engn Dept Malaga Spain Fdn CIEN Madrid Spain FIDYAN Neuroctr Granada Spain

ISBN: (纸本)9783031062421;9783031062414

the prevalence of dementia is currently increasing worldwide. this syndrome produces a deterioration in cognitive function that can not be reverted. However, an early diagnosis can be crucial for slowing its progress. the Clock Drawing Test (CDT) is a widely used paperand-pencil test for cognitive assessment in which an individual has to manually draw a clock on a paper during a certain time. Nevertheless, there are a lot of scoring systems for this test and most of them depend on the subjective assessment of the expert. this study proposes a computeraided diagnosis (CAD) system based on deep learning in order to automate the diagnosis of cognitive impairment (CI) from the result of the CDT. this is addressed by employing a preprocessing pipeline in which the clock is detected and centered, as well as binarized for decreasing the computational burden. then, the resulting image is fed into a Convolutional Neural Network (CNN), which is used to identify the informative patterns within the CDT drawings that are relevant for the assessment of the patient's cognitive status. Performance is evaluated in a real context where differentiating between CI patients and controls. the proposed method provides an accuracy of 68.62% in this classification task, with an AUC of 74.53%. A validation method using resubstitution with upper bound correction is also discussed.

关键词： Alzheimer's disease Clock Drawing Test Cognitive impairment Deep learning Image processing Machine learning

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