检索结果-内蒙古大学图书馆

Technological Advancements in Computational Sciences (ICTACS), International Conference on

作者： Deepak Sharma M. Chitra Devi Vivek Veeraiah Manisha Kasar Deepshikha Aggarwal Tripti Sharma Jagannath University Jaipur Rajasthan India Dept. of Computer Science SRM Trichy Arts and Science College Tamil Nadu India Dept. of Computer Science Sri Siddhartha Academy of Higher Education Karnataka India Dept. ofCSE Bharati Vidyapeeth (Deemed to be University) College of Engineering Pune Maharashtra India Dept. of IT Jagan Institute of Management Studies Delhi India Dept. of CSE Rungta College of Engineering & Technology Bhilai Chhattisgarh India

ISBN: (数字)9798350387490

ISBN: (纸本)9798350387506

AI-driven precision agriculture is revolutionising the agricultural business by using advanced techniques to monitor crop health and optimize output. By integrating data from sensors, drones, and satellite photos with artificial intelligence, farmers may get up-to-date information on crop condition, soil health, and environmental factors. Through meticulous analysis of vast amounts of data, these artificial intelligence systems are capable of detecting the first signs of pests, diseases, and nutritional deficiencies. This enables timely interventions to enhance the overall health of crops. AI-driven predictive analytics manage the timing of irrigation, fertilisation, and harvesting to enhance productivity and guarantee optimum resource use. This approach addresses growing global need in case of food while also improving agricultural sustain ability and productivity. The Python script demonstrates integration of AI and IoT technologies into a Precision Agriculture System to optimize agricultural yields and monitor crop health. It generates a synthetic dataset with real-world parameters and evaluates the Random Forest Regressor model on training along with testing data. The simulation provides visual insights and performance metrics, highlighting the potential of AI and IoT in precision agriculture in case of enhanced decision-making along with productivity.

关键词： Precision agriculture Productivity Temperature sensors Temperature measurement Visualization Decision making Crops Artificial intelligence Monitoring Testing

来源：评论

学校读者我要写书评

暂无评论

Multimodal Approach to Identify Attention Level of Students using Jetson Nano

Multimodal Approach to Identify Attention Level of Students ...

引用

International Conference on Signal Processing and Communication (ICSC)

作者： Sudha G Sadasivam Shanmuhappriya Muthukrishnan Harismithaa Lr Dept. of Computer Science and Engineering PSG College of Technology Coimbatore India

ISBN: (纸本)9781665454315

Students must be attentive in the classroom to improve on their learning. Further, it is important for the faculty to know whether the students pay complete attention in the classroom. If not, faculty can slow down and modify their mode of delivery by making the classes more interesting to gain students attention. The aim of this work is to monitor the student’s attention in the classroom based on their physical state which is the result of their bio chemical and electrical signals in the brain. The approaches like Electro dermal activity (EDA), Electroencephalography (EEG), Electrocardiogram (ECG) are measured by using physiological signals but is hard to extract and analyze. Head bands extracting EEG signals may also distract a student’s attention in classes. The proposed work aims to make use of Deep Convolution Neural Network (DCNN) with Histogram of Gradient (HoG) for face detection and facenet algorithm for face recognition. To evaluate the attentiveness of the students, A Convolution Neural Network model is proposed. The trained model is tested by deploying in Jetson Nano. To identify the attentiveness of the student, the physical state of the face is considered, such as head movement, and the state of eyes and mouth, whether it is opened or closed. Furthermore, the open eye region is analysed if it is partially opened or fully opened. By using CNN to train the model instead of Machine learning algorithms, the accuracy of the system is found to increase.

关键词： Histograms Image coding Convolution Face recognition Lips Mouth Brain modeling

来源：评论

学校读者我要写书评

暂无评论

Dynamic View Synthesis of Thin Structures with Short-term Movements from Monocular Videos Using Neural Radiance Fields

Dynamic View Synthesis of Thin Structures with Short-term Mo...

引用

Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Uchitha Rajapaksha Hamid Laga Dean Diepeveen Mohammed Bennamoun Ferdous Sohel School of Information Technology Murdoch University Murdoch WA Australia Dept. of Computer Science and Software Engineering The University of Western Australia Crawley WA Australia

ISBN: (数字)9798350379037

ISBN: (纸本)9798350379044

Learning to generate motions of thin structures such as plant leaves in dynamic view synthesis is challenging. This is because thin structures usually undergo small but fast, non-rigid motions as they interact with air and wind. When given a set of RGB images or videos of a scene with moving thin structures as input, existing methods that map the scene to its corresponding canonical space for rendering novel views fail as the object movements are too subtle compared to the background. Disentangling the objects with thin parts from the background scene is also challenging when the parts show fast and rapid motions. To address these issues, we propose a Neural Radiance Field (NeRF)-based framework that accurately reconstructs thin structures such as leaves and captures their subtle, fast motions. The framework learns the geometry of a scene by mapping the dynamic images to a canonical scene in which the scene remains static. We propose a ray masking network to further decompose the canonical scene into foreground and background, thus enabling the network to focus more on foreground movements. We conducted experiments using a dataset containing thin structures such as leaves and petals, which include image sequences collected by us and one public image sequence. Experiments show superior results compared to existing methods. Video outputs are available at https://***/.

关键词： Geometry Three-dimensional displays Tracking Dynamics Neural radiance field Rendering (computer graphics) Image sequences Image reconstruction Optical flow Videos

来源：评论

学校读者我要写书评

暂无评论

Photonic Neuromorphic Accelerator Combined with an Event-Based Neuromorphic Camera for High-Speed Object Classification

Photonic Neuromorphic Accelerator Combined with an Event-Bas...

引用

Conference on Lasers and Electro-Optics Europe (CLEO EUROPE)

作者： Aris Tsirigotis Ioannis Tsilikas Kostas Sozos Adonis Bogris Charis Mesaritakis Dept. Information and Communication Systems Engineering University of the Aegean Karlovasi Samos Greece Dept. Applied Physics and Mathematics National Technical University of Athens Zografou Athens Greece Dept. Informatics and Computer Engineering University of West Attica Egaleo Greece

ISBN: (纸本)9798350345995

In this work, we demonstrate the impact of an unconventional convolutional photonic accelerator, based on an optical spectrum slicing (OSS) [1], on the classification accuracy of objects, generated through a high-frame rate neuromorphic event-based camera [2]. The experimental setup is depicted in Fig. 1a. It consists of a 5 mW-632 nm-LED source, two objective lenses with NA=0.65 that concentrate the light beam into a $100\ \mu \mathrm{m}\times 100\ \mu \mathrm{m}$ channel. In our experiments, the targeted objects consist of test spheres, of different diameters (12, 16, and $20 \mu{m}$ ), used in aqua solutions. A pump regulated the sphere's speed to 0.8 m/s. The objects were recorded by a 10 kframe/s capable neuromorphic camera, with a temporal resolution of $1\ \mu \mathrm{s}$ . The camera detects pixel's contrast changes (events), similar to biological systems [2]. The recorded events were exported into 1 kframes/sec videos through a synthetic frame generator software, resulting to 2988 images per particle [2]. Images were post-processed using only noise reduction by frame subtraction and image cropping so as to reduce data volume to $100\times 100$ pixels.

关键词： Bandpass filters Cameras High speed photography Lenses Light beams Video

来源：评论

学校读者我要写书评

暂无评论

A Parallel Multi-Deque Sorting Algorithm 25

A Parallel Multi-Deque Sorting Algorithm

引用

25th International computer Science and engineering Conference, ICSEC 2021

作者： Kittitornkun, Surin Rattanatranurak, Apisit School of Engineering King Mongkut's Institute of Technology Ladkrabang Dept. of Computer Eng. Bangkok Thailand Suan Sunandha Rajabhat University Fac. of Industrial Technology Dept. of Computer Eng. Bangkok Thailand

ISBN: (纸本)9781665411974

Parallel or multithreaded sorting algorithms have been proposed and researched for multicore and manycore CPU and GPU systems. Some of them are based on divide and conquer concept to exploit data parallelism as well as task parallelism at the same time. In this paper, a Multi-Deque Sort (MDQSort) is proposed and developed on top of our previous algorithm called Multi-Stack (MSP) Sort. Therefore, the MDQSort can easily enhance the performance while getting rid of weaknesses of MSPSort. As a result, MDQSort can be as competitive as the Standard Template Library parallel mode sorting algorithms on a 4-core ARM Cortex A72 Linux system in terms of run time, stability, CPU utilization and memory (RAM) utilization. © 2021 IEEE.

关键词： Random access storage

来源：评论

学校读者我要写书评

暂无评论

Advanced Machine Learning Techniques for Enhancing Data Security in Cloud Computing Systems

Advanced Machine Learning Techniques for Enhancing Data Secu...

引用

Computing, Power and Communication Technologies (IC2PCT), IEEE International Conference on

作者： M Dhinakaran M Sundhari S. Ambika V. Balaji R.Thalapathi Rajasekaran Department of Electronics and Communication Engineering Galgotias College of Engineering & Technology Greater Noida Uttar Pradesh India Dept. of Computer Science and Engineering GRT Institute of Engineering and Technology Tiruttani Tamil Nadu India Department of Information Technology E. G. S. Pillay Engineering College Nagapattinam Tamil Nadu India Department of CSE (Cyber Security) Easwari Engineering College Chennai India Dept. of Computer Science and Engineering Saveetha School of Engineering SIMATS Chennai India

In the age of cloud computing, data stored and processed in the cloud must be secure. This study examines how powerful machine learning can secure cloud computing data. Three trials assessed different machine learning models in this setting. Experiment 1 used a Random Forest model and achieved 95% accuracy, 0.92 precision, 0.96 recall, and 0.94 F1 Score. This shows that the model can accurately categorize security threats with a good balance of true and false positives. A Deep Neural Network (DNN) improved accuracy to 97% in Experiment 2. Precision, recall, and F1 Score values of 0.94, 0.98, and 0.96 demonstrate the DNN’s ability to discriminate threats from normal activity. The model captures complicated patterns well, making it a powerful cloud security tool. Security analysis using reinforcement learning, specifically Q-learning, was introduced in Experiment 3. The model’s 88% detection rate showed its capacity to identify threats, but its 0.05 false positive rate created a tradeoff between true and false positives. With the 0.12 false negative rate, one can infer improvements in threat detection accuracy. These results indicate that state-of-the-art machine learning is capable of protecting cloud data. The Random Forest and Deep Neural Network models have very high accuracy balanced with reasonable precision-recall trade-offs, whereas reinforcement learning through Qlearning shows promise but needs modification to improve the model’s performance in terms of both accuracy and false positive rates. While rising threats need constant adaptation and learning, the model should also fulfill security needs. This study helps formulate a secure cloud computing infrastructure that can stand threats of change.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Analysis of Weakness and Limitations for the Protective Angle Method based on IEC Standard 62305

The Analysis of Weakness and Limitations for the Protective ...

引用

International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information technology, ECTI-CON

作者： Kanokpol Pliansee Arnon Singhasathein Aphibal Pruksanubal Dept. of Electrical and Computer Engineering King Mongkut’s University of technology North Bangkok Bangkok Thailand. Dept. of Electrical Engineering Rajamangala University of technology Phra-Nakhon (RMUTP) Bangkok Thailand

The protective angle method based on IEC standard 62305 is an important concept that is popularly utilized to design the air termination for the external lightning protection system because this method can be easily implemented based on trigonometric calculation. However, the protective angle method demonstrates the weakness and limitation in a factor of the penetration distance which is rarely mentioned in publications. Especially, the penetration distance of the protective angle method is difficult to evaluate. The penetration distance is always neglected implementation while the penetration distance directly influences the lightning flash into the structure’s building. Thus, the effect of a penetration distance cannot be definitely *** mentioned above, this article presents the simulation results and analysis of the penetration distance for the protective angle method based on IEC standard 62305, as well as, this article illustrates the concerned mathematical correlation and the approximate correlation for implementation respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dynamic Optimization of Provider-Based Scheduling for HPC Workloads

Dynamic Optimization of Provider-Based Scheduling for HPC Wo...

引用

International Conference on Software, Telecommunications and computer Networks (SoftCOM)

作者： Jacopo Marino Fulvio Risso Mauro Bighi Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy Dept. of Information Technology PUNCH Torino S.p.A Torino Italy

The vast array of cloud providers present in today’s market proffer a suite of High-Performance Computing (HPC) services. However, these offerings are characterized by significant variations in execution times and cost structures. Consequently, selecting the optimal cloud provider and configuring the features of the chosen computing instance (e.g. virtual machines) proves to be a challenging task for users intending to execute HPC workloads. This paper introduces a novel component designed for effortless integration with existing HPC scheduling systems. This module’s primary function is to facilitate the selection of the most appropriate cloud provider for each distinct job, thereby empowering dynamic and adaptive cost-minimization strategies. Through the application of data augmentation techniques and the employment of Continuous Machine Learning, the system is endowed with the capability to operate efficiently with cloud providers that have not been previously utilized. Furthermore, it is capable of tracking the evolution of jobs over time. Our results show that this component can achieve consistent economic savings, based on the quality of the data used in the training phase.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards Adversarial Purification using Denoising AutoEncoders

arXiv

引用

arXiv 2022年

作者： Kalaria, Dvij Hazra, Aritra Chakrabarti, Partha Pratim Dept. of Computer Science and Engineering Indian Institute of Technology Kharagpur India

With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since the accuracy and robustness of deep learning models are primarily attributed from the purity of the training samples, therefore the deep learning architectures are often susceptible to adversarial attacks. Adversarial attacks are often obtained by making subtle perturbations to normal images, which are mostly imperceptible to humans, but can seriously confuse the state-of-the-art machine learning models. We propose a framework, named APuDAE, leveraging Denoising AutoEncoders (DAEs) to purify these samples by using them in an adaptive way and thus improve the classification accuracy of the target classifier networks that have been attacked. We also show how using DAEs adaptively instead of using them directly, improves classification accuracy further and is more robust to the possibility of designing adaptive attacks to fool them. We demonstrate our results over MNIST, CIFAR-10, ImageNet dataset and show how our framework (APuDAE) provides comparable and in most cases better performance to the baseline methods in purifying adversaries. We also design adaptive attack specifically designed to attack our purifying model and demonstrate how our defense is robust to that. © 2022, CC BY.

关键词： Safety engineering

来源：评论

学校读者我要写书评

暂无评论

Application of Virtual Reality (VR) to Advance Social Ability in Children with ASD

Application of Virtual Reality (VR) to Advance Social Abilit...

引用

Automation, Computing and Renewable Systems (ICACRS), International Conference on

作者： Athul Krishna Pv Abhinav Satheesh N M Abhishek Hema P Menon Davidson Devasia Dept. of Computer Science and Engineering Sreepathy Institute of Management and Technology Vavannor Palakkad Kerala India Dept. of Neurology Aster Medcity Kochi Kerala India

Virtual Reality (VR) technology provides a novel approach for therapy, offering controlled exposure to sensory stimuli, personalized learning experiences, and social skills practice in a safe and engaging virtual environment. The use of VR has the potential to improve social and cognitive skills, reduce anxiety, and increase engagement, ultimately enhancing the quality of life for children with Autism Spectrum Disorder (ASD) and their families, while also reducing the stigma associated with autism and fostering ongoing research and innovation in the field.

关键词：

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：