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    Reports from University of Malaya Describe Recent Advances in Artificial Intelli gence (Artificial Intelligence Methods Used In Various Aquaculture Applications: a Systematic Literature Review)

    87-88页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Investigators publish new report on Ar tificial Intelligence. According to news reportingfrom Kuala Lumpur, Malaysia, by NewsRx journalists, research stated, "This research article presents asystem atic literature review on the current state-of-the-art artificial intelligence ( AI) methodologies usedin aquaculture applications. As the demand for seafood co ntinues to grow, the aquaculture industry facesnumerous challenges, including d isease management, feeding optimization, water quality monitoring, andextractio n of aquaculture area."The news correspondents obtained a quote from the research from the University o f Malaya, "To addressthese challenges effectively and sustainably, AI technique s have been increasingly applied in aquaculturesystems over recent years. This review aims to analyze various AI methodologies utilized within differentaspects of aquacultural practices. By examining existing studies and identifying trend s and gaps inresearch areas related to AI integration into aquaculture practice s, this paper provides valuable insights forfurther advancements. The purpose w as to synthesize current knowledge on application and its challengesin implemen ting AI technologies within the commercial aquaculture industry. Specifically, t he review isto identify and analyze peer-reviewed studies reporting on applicat ions of AI technologies in aquacultureindustry, to classify and summarize the k ey findings from the selected studies in aquaculture operationsthrough AI, and to evaluate and discuss any challenges reported regarding the implementation and adoptionof AI solutions in commercial aquaculture. The overall goal was to com prehensively assess these via asystematic literature review process. Challenges of AI technologies and methods were identified in theresearch literature for a pplying AI to optimize commercial aquaculture practices and production. Anexhau stive search of a scholarly database from Scopus, was performed and papers publi shed in Englishbetween 2020 and 2024 were considered for inclusion. After a rig orous screening process involving over116 studies, 57 highly relevant works wer e identified and analyzed according to key themes involvingdemonstrated AI appl ications, employed methodologies and challenges that are expected when applyingsuch methods. The findings revealed that AI-driven tools such as computer vision , machine learning,and predictive modeling hold much potential for enhancing su stainability, efficiency, and productivitywithin aquaculture operations through applications like disease monitoring, environmental management,and production optimization. However, the review also uncovered substantial challenges that wil l continuelimiting widespread adoption, including restricted access to represen tative data, prohibitive expenses,technical complexities, lack of social accept ance, and data privacy and security concerns."
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    Investigators from School of Automation Report New Data on Robotics (An Optimal and Efficient Hierarchical Motion Planner for Industrial Robots With Constraints )

    88-88页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on Robotics are disc ussed in a new report. According to newsreporting from Changsha, People's Repub lic of China, by NewsRx journalists, research stated, "This paperinvestigates t he motion planning problem for industrial robots with complex constraints. An op timal andefficient hierarchical motion planner is proposed to obtain high-quali ty trajectories with low computationaleffort."Funders for this research include National Key R&D Program of China , National Natural ScienceFoundation of China (NSFC), Yunnan Province Science a nd Technology Planning Project.
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    Researchers from National University of Defense Technology Report New Studies an d Findings in the Area of Robotics (Singlebeacon Localization for Mobile Robot: a Set Membership Filtering Approach)

    89-89页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Robotics have been published. According to news reportingfrom Changsha, People's Republic of China, by NewsRx journalists, research stated, "In this letter, westudy the lo calization problem of a mobile robot with range measurement from a single beacon . Previousfiltering-based studies usually required accurate statistics of noise s to be theoretically sound and reliable,which is difficult to obtain in practi cal systems."Financial support for this research came from National Natural Science Foundatio n of China (NSFC).The news correspondents obtained a quote from the research from the National Uni versity of DefenseTechnology, "To solve this problem, we propose an accurate an d efficient localization method based on aset-membership filtering framework wi th constrained zonotopes. This method includes three novel steps.First, we desi gn a convex optimization relaxation method to handle the non-convexity caused by thesingle-beacon range measurement. Then, a halfspace-intersection refinement is proposed which improvesthe estimation accuracy. Finally, we provide a slidin g-window recursive method that simultaneouslyguarantees the accuracy and the ef ficiency."
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    Findings on Artificial Intelligence Reported by Investigators at School of Elect rical and Information Engineering (Artificial Intelligence-assisted Accurate Spe ctrum Prediction In Design of Terahertz Fiber Operating In 6g Communication Wind ow)

    90-90页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Artificial Intelligenc e is the subject of a report. According tonews originating from Tianjin, People 's Republic of China, by NewsRx correspondents, research stated,"Accurate spect rum prediction in design of terahertz (THz) devices remains challenging, especia lly forTHz fibers. In this article, we propose an approach based on artificial intelligence (AI) assisted finiteelement method (FEM) to achieve accurate spect rum prediction for the design of THz fiber operating in6G communication window. "Financial support for this research came from National Natural Science Foundatio n of China (NSFC).Our news journalists obtained a quote from the research from the School of Elect rical and InformationEngineering, "The antiresonant THz fiber has been selected to verify the effectiveness of this method.Initially, the principle and physic al modeling of antiresonant THz fiber are analyzed. The spectra of THzfibers wi th different structural parameters are designed and predicted by FEM simulation. Then, the THzfibers are fabricated by 3D printing technology and the spectra a re measured by a THz time domainspectroscopy system. The spectral dataset obtai ned by both forms are prepared for the modeling ofAI-assisted FEM methods. Diff erent AI algorithms are induced in FEM to predict experimental spectrum,includi ng elman neural network (Elman), support vector machines (SVM), and general regr ession neutralnetwork (GRNN). The prediction performance obtained by different methods are compared and analyzedcomprehensively to confirm the effectiveness o f proposed methods. The AI-assisted FEM methods showgreat improvement of predic tion accuracy in the design of THz fibers."
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    Study Results from Sun Yat-sen University in the Area of Artificial Intelligence Reported (Technological Revolution and Regulatory Innovation: How Governmental Artificial Intelligence Adoption Matters for Financial Regulation Intensity)

    91-91页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Investigators publish new report on Ar tificial Intelligence. According to news reportingout of Guangzhou, People's Re public of China, by NewsRx editors, research stated, "In the realm ofmodern fin ancial regulation, the integration of artificial intelligence (AI) is considered to be a potentialgame-changer. With rapid technological advancement, AI can en hance regulatory capabilities by efficientlyprocessing and analyzing complex fi nancial data."Financial support for this research came from National Natural Science Foundatio n of China (NSFC).Our news journalists obtained a quote from the research from Sun Yat-sen Univers ity, "This approachallows for more precise predictions and prevention of market risks, effective monitoring of potential marketabuses, and a deeper understand ing of financial markets. As a result, AI can substantially improve theefficien cy and impact of government regulatory frameworks. This study examined the impac t of governmentalAI adoption on financial regulatory intensity in China, reveal ing significant findings across 30provinces and municipalities from 2012 to 202 2. The relevant findings are fourfold. (1) GovernmentalAI adoption for financia l regulation significantly strengthens financial regulatory intensity. (2) The i nstitutionalenvironment and government transparency have respective promotional and restraining influenceson this process. (3) Further tests reveal a nonlinea r impact of governmental AI adoption for financialregulation on regional financ ial regulatory intensity. (4) Heterogeneity analysis demonstrates that theenhan cing effect of governmental AI adoption is more pronounced in regions located in the east, withstrong governance capabilities and well-developed digital enviro nments."
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    New Robotics Research Reported from Jeonbuk National University (Uncertainty-Awa re Depth Network for Visual Inertial Odometry of Mobile Robots)

    92-92页
    查看更多>>摘要：024 OCT 31 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Researchers detail new data in robotic s. According to news reporting originating fromJeonju, South Korea, by NewsRx c orrespondents, research stated, "Simultaneous localization and mapping,a critic al technology for enabling the autonomous driving of vehicles and mobile robots, increasinglyincorporates multi-sensor configurations."Funders for this research include Institute of Information & Commu nications Technology Planning &Evaluatio; National Research Found ation of Korea.Our news reporters obtained a quote from the research from Jeonbuk National Univ ersity: "Inertialmeasurement units (IMUs), known for their ability to measure a cceleration and angular velocity, are widelyutilized for motion estimation due to their cost efficiency. However, the inherent noise in IMU measurementsnecess itates the integration of additional sensors to facilitate spatial understanding for mapping. Visualinertialodometry (VIO) is a prominent approach that combin es cameras with IMUs, offering high spatialresolution while maintaining cost-ef fectiveness. In this paper, we introduce our uncertainty-aware depthnetwork (UD -Net), which is designed to estimate both depth and uncertainty maps. We propose a novelloss function for the training of UD-Net, and unreliable depth values a re filtered out to improve VIOperformance based on the uncertainty maps."
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    Tongji University Details Findings in Machine Learning (Compressive Strength Det ection of Tunnel Lining Using Hyperspectral Images and Machine Learning)

    93-93页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on Machine Learning are discussed in a new report. Accordingto news reporting out of Shanghai, Peop le's Republic of China, by NewsRx editors, research stated,"Traditional tunnel lining strength detection techniques are mostly contact-based, with relatively l owdetection efficiency. This study innovatively proposes hyperspectral imaging method to rapidly detecttunnel concrete lining strength from a machine vision p erspective."Funders for this research include National Key Research & Developm ent Program of China, QingdaoGuoxin Jiaozhou Bay Second Submarine Tunnel Co., L td.Our news journalists obtained a quote from the research from Tongji University, "Hyperspectral cameraswere employed in indoor experiments to capture hyperspect ral images of concrete specimens with differentcompressive strength levels. The differences of concrete strength based on hyperspectral reflectancecharacteris tics were analysed using hyperspectral images and machine learning algorithms. F irstly, theK-Nearest Neighbors (KNN) classification algorithm was used to predi ct the classification of the concretehyperspectral dataset with accuracy mostly exceeding 90 %. The results indicate distinctive differences inhy perspectral reflectance characteristics among concrete specimens. Furthermore, c ompressive strengthprediction of different concrete specimens was carried out u sing Principal component regression (PCR),Partial least squares regression (PLS R), and Least Squares Support Vector Machine (LSSVM) machinelearning models on both original and Savitzky-Golay(S-G) processed spectral data. LSSVM and PLSR models performed excellently in the visible light spectrums(400-1000 nm), with LSS VM excelling in the nearinfraredspectrums(900-1700 nm). Finally, the feasibili ty of using Hyperspectral imaging(HSI) technologyto detect tunnel lining streng th was demonstrated at the shield tunnel model site."
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    Investigators at University of California Berkeley Detail Findings in Robotics ( Multi-layer Ldpe Pouch Robots Enabled By Inkjet-printed Masking Layers)

    94-94页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Investigators publish new report on Ro botics. According to news reporting from Berkeley,California, by NewsRx journal ists, research stated, "Inflatable pouches are attractive as actuators andstruc tural links in soft robots due to their low deflated profile and high deformatio n ratio. However,current pouch robot fabrication methods have relatively large minimum feature sizes and multi-layer fabricationchallenges, limiting the integ ration of mechanisms with many independent degrees of freedom(DoF)."Financial supporters for this research include National Science Foundation (NSF) , UCSF CatalystAward, Bakar Fellows Spark Award, NSF Graduate Research Fellowsh ips Program (GRFP).
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    Research on Robotics Reported by a Researcher at Macau University of Science and Technology (Scheduling Cluster Tools with Multi-Space Process Modules and a Mul ti-Finger-Arm Robot in Wafer Fabrication Subject to Wafer Residency Time Constra ints)

    95-95页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New study results on robotics have bee n published. According to news originating fromMacao, People's Republic of Chin a, by NewsRx correspondents, research stated, "To increase productivity,more so phisticated cluster tools are developed. To achieve this, one of the ways is to increase the numberof spaces in a process module (PM) and the number of fingers on a robot arm as well, leading to a clustertool with multi-space PMs and a mu lti-finger-arm robot."Funders for this research include Science And Technology Development Fund (Fdct) , Macau Sar.The news editors obtained a quote from the research from Macau University of Sci ence and Technology:"This paper discusses the scheduling problem of cluster too ls with four-space PMs and a four-finger-armrobot, a typical tool with multi-sp ace PMs and a multi-finger-arm robot adopted in modern fabs. With twoarms in su ch a tool, one is used as a clean one, while the other is used as a dirty one. I n this way, waferquality can be improved. However, scheduling such cluster tool s to ensure the residency time constraintsis very challenging, and there is no research report on this issue. This article conducts an in-depth analysisof the steady-state scheduling for this type of cluster tools to explore the effect of different schedulingstrategies. Based on the properties, four robot task seque nces are presented as scheduling strategies.With them, four linear programming models are developed to optimize the cycle time of the system andfind feasible schedules."
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    New Findings in Robotics and Automation Described from Italian Institute of Tech nology (On the Calibration, Fault Detection and Recovery of a Force Sensing Devi ce)

    96-96页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-New research on Robotics - Robotics an d Automation is the subject of a report.According to news originating from Geno a, Italy, by NewsRx correspondents, research stated, "Groundreaction force info rmation, which includes the location of the center of pressure (COP) and vertica l groundreaction force (vGRF), has various applications, such as in the gait as sessment of patients post-injury orin the control of robot prostheses and exosk eleton devices. At the beginning of this work, we introduce anewly developed fo rce-sensing device for measuring the COP and vGRF."Funders for this research include European Union (EU), SOPHIA, HARIA.
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