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Neuro-symbolic approaches in artificial intelligence

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National Science Review 2022年第6期9卷 35-37页

作者： Pascal Hitzler Aaron Eberhart Monireh Ebrahimi Md Kamruzzaman Sarker Lu Zhou department of Computer Science Kansas State University Center for Open Source Data and AI technologies (CODAIT) IBM Watson department of computing Sciences University of Hartford

Neuro-symbolic artificial intelligence refers to a field of research and applications that combines machine learning methods based on artificial neural networks, such as deep learning, with symbolic approaches to computing and artificial intelligence(AI), as can be found for example in the AI subfield of knowledge representation and reasoning.

关键词： artificial intelligence deep learning knowledge representation and reasoning neuro-symbolic integration

TRS Scheduling for Improved QoS Performance in Cloud System

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Computers, Materials & Continua 2023年第4期75卷 1547-1559页

作者： G.John Samuel Babu M.Baskar department of Computer Science and Engineering School of ComputingCollege of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathurChengalpattuTamilnadu603203India department of computing technologies School of ComputingCollege of Engineering andTechnologySRM Institute of Science and TechnologyKattankulathurChengalpattuTamilnadu603203India

Numerous methods are analysed in detail to improve task schedulingand data security performance in the cloud environment. The methodsinvolve scheduling according to the factors like makespan, waiting time,cost, deadline, and popularity. However, the methods are inappropriate forachieving higher scheduling performance. Regarding data security, existingmethods use various encryption schemes but introduce significant serviceinterruption. This article sketches a practical Real-time Application CentricTRS (Throughput-Resource utilization–Success) Scheduling with Data Security(RATRSDS) model by considering all these issues in task scheduling anddata security. The method identifies the required resource and their claim timeby receiving the service requests. Further, for the list of resources as services,the method computes throughput support (Thrs) according to the number ofstatements executed and the complete statements of the service. Similarly, themethod computes Resource utilization support (Ruts) according to the idletime on any duty cycle and total servicing time. Also, the method computesthe value of Success support (Sus) according to the number of completions forthe number of allocations. The method estimates the TRS score (ThroughputResource utilization Success) for different resources using all these supportmeasures. According to the value of the TRS score, the services are rankedand scheduled. On the other side, based on the requirement of service requests,the method computes Requirement Support (RS). The selection of service isperformed and allocated. Similarly, choosing the route according to the RouteSupport Measure (RSM) enforced route security. Finally, data security hasgets implemented with a service-based encryption technique. The RATRSDSscheme has claimed higher performance in data security and scheduling.

关键词： Cloud task scheduling TRS quality of service RSM route security data security SDE RATRSDS

A Rigorous Architectural Approach to Adaptive Software Engineering

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Journal of Computer Science & Technology 2009年第2期24卷 183-188页

作者： Jeff Kramere Jeff Magee department of computing Imperial College London

The engineering of distributed adaptive software is a complex task which requires a rigorous approach. Software architectural （structural） concepts and principles are highly beneficial in specifying, designing, analysing, constructing and evolving distributed software. A rigorous architectural approach dictates formalisms and techniques that are compositional, components that are context independent and systems that can be constructed and evolved incrementally. This paper overviews some of the underlying reasons for adopting an architectural approach, including a brief ＂rational history＂ of our research work, and indicates how an architectural model can potentially facilitate the provision of self-managed adaptive software system.

关键词： adaptiye systems self-managed systems autonomic systems software architecture

The Security of Using Large Language Models:A Survey With Emphasis on ChatGPT

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 1-26页

作者： Wei Zhou Xiaogang Zhu Qing-Long Han Lin Li Xiao Chen Sheng Wen Yang Xiang the School of Science Computing and Engineering Technologies Swinburne University of Technology IEEE the School of Computer and Mathematical Sciences the University of Adelaide Adelaide the Faculty of Science and Engineering Southern Cross University the School of Information and Physical Sciences the University of Newcastle

ChatGPT is a powerful artificial intelligence(AI)language model that has demonstrated significant improvements in various natural language processing(NLP) tasks. However, like any technology, it presents potential security risks that need to be carefully evaluated and addressed. In this survey, we provide an overview of the current state of research on security of using ChatGPT, with aspects of bias, disinformation, ethics, misuse,attacks and privacy. We review and discuss the literature on these topics and highlight open research questions and future *** this survey, we aim to contribute to the academic discourse on AI security, enriching the understanding of potential risks and mitigations. We anticipate that this survey will be valuable for various stakeholders involved in AI development and usage, including AI researchers, developers, policy makers, and end-users.

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Gray-Hole Attack Minimization in IoMT with 5G Based D2D Networks

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Computer Systems Science & Engineering 2022年第9期42卷 1289-1303页

作者： V.Balaji P.Selvaraj department of computing technologies College of Engineering and TechnologyFaculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia

Reliable transmission is vital to the success of the next generation ofcommunications technologies and Fifth Generation (5G) networks. Many sensitive applications, such as eHealth and medical services, can benefit from a 5G network. The Internet of Medical Things (IoMT) is a new field that fosters themaintenance of trust among various IoMT Device to Device (D2D) modern technologies. In IoMT the medical devices have to be connected through a wirelessnetwork and constantly needs to be self-configured to provide consistent and effi-cient data transmission. The medical devices need to be connected with sophisticated protocols and architecture to handle the synergy of the monitoring ***, one of the commonly used algorithms in D2D communication is the Optimized Link State Routing protocol (OLSR). The OLSR is considerably good ateffectively utilizing the bandwidth and reserving the paths. One of the majorattack against the OLSR is the Node isolation attack, also known as the Gray holedenial of service attack. The Gray hole attack exploits the vulnerabilities presentwith sharing the topological information of the network. The attackers may usethis topological information to maliciously disconnect the target nodes from theexisting network and stops rendering the communication services to the victimnode. Hence, considering the sensitivity and security concerns of the data usedin e-Health applications, these types of attacks must be detected and disabledproactively. In this work, a novel Node Authentication (NA) with OLSR is proposed. The simulation experiments illustrated that the proposed protocol has anexcellent Packet Delivery Ratio, minimal End-End delay, and minimal Packet losswhen compared to the Ad-hoc On-Demand Distance Victor (AODV) protocol andthe proposed authentication scheme was able to protect the OLSR protocol from anode isolation attack.

关键词： 5G AODV D2D IoMT OLSR security issues

Detecting Vulnerability on IoT Device Firmware: A Survey

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IEEE/CAA Journal of Automatica Sinica 2023年第1期10卷 25-41页

作者： Xiaotao Feng Xiaogang Zhu Qing-Long Han Wei Zhou Sheng Wen Yang Xiang School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyHawthorn VIC 3122Australia IEEE

Internet of things (IoT) devices make up 30%of all network-connected endpoints,introducing vulnerabilities and novel attacks that make many companies as primary targets for *** address this increasing threat surface,every organization deploying IoT devices needs to consider security risks to ensure those devices are secure and *** all the solutions for security risks,firmware security analysis is essential to fix software bugs,patch vulnerabilities,or add new security features to protect users of those vulnerable ***,firmware security analysis has never been an easy job due to the diversity of the execution environment and the close source of *** two distinct features complicate the operations to unpack firmware samples for detailed *** also make it difficult to create visual environments to emulate the running of device *** researchers have developed many novel methods to overcome various challenges in the past decade,critical barriers impede firmware security analysis in ***,this survey is motivated to systematically review and analyze the research challenges and their solutions,considering both breadth and ***,based on the analysis perspectives,various methods that perform security analysis on IoT devices are introduced and classified into four *** challenges in each category are discussed in detail,and potential solutions are proposed *** then discuss the flaws of these solutions and provide future directions for this research *** survey can be utilized by a broad range of readers,including software developers,cyber security researchers,and software security engineers,to better understand firmware security analysis.

关键词： Firmware emulation internet of things(IoT)firmware network fuzzing security static analysis

Structural failure analysis with CMS-based ground motion selection using innovative cost function and weight factors

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Earthquake Engineering and Engineering Vibration 2024年第4期23卷 899-918页

作者： Delbaz Samadian Imrose B.Muhit Nashwan Dawood School of computing Engineeringand Digital TechnologiesTeesside UniversityMiddlesbrough TS13BXUK

The selection and scaling of ground motion records is considered a primary and essential task in performing structural analysis and *** methods involve using ground motion models and a conditional spectrum to select ground motion records based on the target *** research demonstrates the influence of adopting different weighted factors for various period ranges during matching selected ground motions with the target hazard *** event data from the Next Generation Attenuation West 2(NGA-West 2)database is used as the basis for ground motion selection,and hazard de-aggregation is conducted to estimate the event parameters of interest,which are then used to construct the target intensity measure(IM).The target IMs are then used to select ground motion records with different weighted vector-valued objective *** weights are altered to account for the relative importance of IM in accordance with the structural analysis application of steel moment resisting frame(SMRF)*** of an ordinary objective function for the matching spectrum,a novel model is introduced and compared with the conventional cost *** results indicate that when applying the new cost function for ground motion selection,it places higher demands on structures compared to the conventional cost ***,submitting more weights to the first-mode period of structures increases engineering demand *** demonstrate that weight factors allocated to different period ranges can successfully account for period elongation and higher mode effects.

关键词： weighted objective function ground motion selection steel moment resisting frame hazard analysis

Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 362-376页

作者： Xiaohua Ge Qing-Long Han Xian-Ming Zhang Derui Ding IEEE School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia

Platooning represents one of the key features that connected automated vehicles may possess as it allows multiple automated vehicles to be maneuvered cooperatively with small headways on roads. However, a critical challenge in accomplishing automated vehicle platoons is to deal with the effects of intermittent and sporadic vehicle-to-vehicle data transmissions caused by limited wireless communication resources. This paper addresses the co-design problem of dynamic event-triggered communication scheduling and cooperative adaptive cruise control for a convoy of automated vehicles with diverse spacing policies. The central aim is to achieve automated vehicle platooning under various gap references with desired platoon stability and spacing performance requirements, while simultaneously improving communication efficiency. Toward this aim, a dynamic event-triggered scheduling mechanism is developed such that the intervehicle data transmissions are scheduled dynamically and efficiently over time. Then, a tractable co-design criterion on the existence of both the admissible event-driven cooperative adaptive cruise control law and the desired scheduling mechanism is derived. Finally, comparative simulation results are presented to substantiate the effectiveness and merits of the obtained results.

关键词： Automated vehicles constant time headway spacing constant spacing cooperative adaptive cruise control event-triggered communication vehicle platooning

A new method for face detection in colour images for emotional bio-robots

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Science China(Technological Sciences) 2010年第11期53卷 2983-2988页

作者： HAPESHI Kevin computing department University of Gloucestershire

Emotional bio-robots have become a hot research topic in last two decades. Though there have been some progress in research, design and development of various emotional bio-robots, few of them can be used in practical applications. The study of emotional bio-robots demands multi-disciplinary co-operation. It involves computer science, artificial intelligence, 3D computation, engineering system modelling, analysis and simulation, bionics engineering, automatic control, image processing and pattern recognition etc. Among them, face detection belongs to image processing and pattern recognition. An emotional robot must have the ability to recognize various objects, particularly, it is very important for a bio-robot to be able to recognize human faces from an image. In this paper, a face detection method is proposed for identifying any human faces in colour images using human skin model and eye detection method. Firstly, this method can be used to detect skin regions from the input colour image after normalizing its luminance. Then, all face candidates are identified using an eye detection method. Comparing with existing algorithms, this method only relies on the colour and geometrical data of human face rather than using training datasets. From experimental results, it is shown that this method is effective and fast and it can be applied to the development of an emotional bio-robot with further improvements of its speed and accuracy.

关键词： face detection skin colour model eye detection bio-robots