检索结果-内蒙古大学图书馆

International Conference on Electrical engineering, computer science and Informatics (EECSI)

作者： Syaifuddin Syaifuddin Diah Risqiwati Hanugra Aulia Sidharta Faculty of Engineering School of Information Technology University of Muhammadiyah Malang Malang Indonesia Faculty of Technology and Design Computer Science Program Study Bina Nusantara Institute of Creative Technology Malang Malang Indonesia

ISBN: (纸本)9781538684030

In modern era, data has become precious and important, data leak can lead to high damage to business, impact on losing profit. To avoiding those problems, organization need equip with updated security tools to protecting data and network. As computer network growing rapidly, currently security become important to prevent from attack, both from outside and inside the network. In line with that, new vulnerability grown on everyday basis and resulting increment number of intrusion and attack. Unfortunately, each intrusion and attack have a different pattern and unique behavior, continuous development and research on intrusion detection is mandatory. By statistic, in 2017 attack associated with XSS attack is grew 39% compared with 2015.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards a Prosodic Model for Synthesized Speech of Mathematical Expressions in MathML 2020

Towards a Prosodic Model for Synthesized Speech of Mathemati...

引用

9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion

作者： Adriana Souza Diamantino Freitas Doctoral Program in Digital Media Faculty of Engineering - University of Porto Porto Portugal Bahia Federal Institute of Education Science and Technology Porto Seguro Brazil BR Department of Electrical and Computer EngineeringFaculty of Engineering - University of PortoPorto Portugal PT

ISBN: (纸本)9781450389372

The use of the MathML language made possible to improve the accessibility of mathematics for blind or low-vision persons in digital media. Synthetic speech technologies have advanced significantly using MathML, however, the speech synthesizers' standard reading style is still not suitable for mathematics. Making mathematical reading of the speech synthesizers more natural and expressive is still a challenge. The creation of models to produce the appropriate prosody in the synthesized speech of math content is therefore necessary, as shown in previous research. This article presents a proposal for a model to improve prosody in the synthesized speech of mathematical expressions based on MathML. A corpus of mathematical expressions spoken by Mathematics teachers was created to support the model's development. The Fujisaki intonation model was adopted for intonation control, accent and phrase commands have been extracted from the corpus, and some adjustments have been made to manipulate prosodic parameters in the speech of mathematical expression in correlation with the MathML tree; additionally, a pattern of pauses control is being created.

关键词： Accessibility Mathematics Visual Impairment

来源：评论

学校读者我要写书评

暂无评论

Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch 22

Accelerating Real-Time Imaging for Radiotherapy: Leveraging ...

引用

22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023

作者： Obe, Ruth Kaufmann, Brandt Baird, Kaelen Kadel, Sam Soltani, Yasmin Cham, Mostafa Gobbert, Matthias K. Barajas, Carlos A. Jiang, Zhuoran Sharma, Vijay R. Ren, Lei Peterson, Stephen W. Poif, Jerimy C. U. of Houston-Clear Lake Dept. of Computer Science and of Software Engineering United States U. of San Francisco Dept. of Mathematics and Statistics United States Skidmore College Dept. of Computer Science and of Mathematics United States Mount Holyoke College Dept. of Computer Science and of Psychology United States U. of Houston Dept. of Biomedical Engineering United States U. of Maryland Dept. of Information Systems Baltimore County United States U. of Maryland Dept. of Mathematics and Statistics Baltimore County United States Medical Physics Graduate Program Duke University United States U. of Maryland School of Medicine Dept. of Radiation Oncology United States U. of Maryland School of Medicine Department of Radiation Oncology United States U. of Cape Town Dept. of Physics South Africa H3D Inc. United States

ISBN: (纸本)9798350345346

Proton beam therapy is an advanced form of cancer radiotherapy that uses high-energy proton beams to deliver precise and targeted radiation to tumors. This helps to mit-igate unnecessary radiation exposure in healthy tissues. Real-time imaging of prompt gamma rays with Compton cameras has been suggested to improve therapy efficacy. However, the camera's non-zero time resolution leads to incorrect interaction classifications and noisy images that are insufficient for accurately assessing proton delivery in patients. To address the challenges posed by the Compton camera's image quality, machine learning techniques are employed to classify and refine the generated data. These machine-learning techniques include recurrent and feedforward neural networks. A PyTorch model was designed to improve the data captured by the Compton camera. This decision was driven by PyTorch's flexibility, powerful capabilities in handling sequential data, and enhanced G PU usage. This accelerates the model's computations on large-scale radiotherapy data. Through hyperparameter tuning, the validation accuracy of our PyTorch model has been improved from an initial 7 % to over 60 %. Moreover, the PyTorch Distributed Data Parallelism strategy was used to train the RNN models on multiple G PU s, which significantly reduced the training time with a minor impact on model accuracy. © 2023 IEEE.

关键词： Clas-sification Compton camera Distributed Data Parallelism Proton beam therapy PyTorch Recurrent neural network

来源：评论

学校读者我要写书评

暂无评论

Exploring the science and Art of UAV Light Painting: From Equations and Pixels to Long-Exposure Photography

Exploring the Science and Art of UAV Light Painting: From Eq...

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Leonardo A. Fagundes-Junior Celso O. Barcelos Raquel F. Vassallo Alexandre S. Brandão Department of Electrical Engineering Robotics Specialization Center Graduate Program on Computer Science Federal University of Viçosa Viçosa MG Brazil Department of Electrical Engineering Federal University of Espirito Santo Vitória ES Brazil

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

The use of Unmanned Aerial Vehicles (in short, UAVs, aka drones) for cultural and entertainment purposes, such as drone light shows, has grown exponentially. One such innovative and creative application is the visual arts using drones to explore long-exposure photography. Light painting are generally performed indoors and outdoors in a dedicated space with a human using a moving light source to create spectacular images and save the movement perception in a picture. In this work, we propose a robotic perception system designed to choreograph UAV movements based on time-parametric curves or image edges, serving as reference motions. Our framework begins by processing a digital image, extracting its contours through boundary tracing, and subsequently generating a safe, navigable, and precise path for UAV motion planning. This process involves optimizing waypoints within the UAV workspace to determine a feasible trajectory that encompasses all designated points or computes safe trajectories utilizing established mathematical equations. The validation of the motion planning is performed through light painting, where the UAV can either fly through the motion reference to mimic the original image. The generated trajectories on light painting mode by physical robots are compared against the ground-truth demonstrating the accuracy of the applied control scheme.

关键词： Photography Visualization Art Autonomous aerial vehicles Trajectory Planning Robots

来源：评论

学校读者我要写书评

暂无评论

Study of defects in CdTe heterostructures using imaging confocal photoluminescence and photoluminescence intensity measurements

Study of defects in CdTe heterostructures using imaging conf...

引用

2014 IEEE 40th Photovoltaic Specialist Conference (PVSC)

作者： Craig H. Swartz Odille C. Noriega Pathiraja A. R. D. Jayathilaka Madhavie Edirisooriya Xin-Hao Zhao Michael J. DiNezza Shi Liu Yong-Hang Zhang Thomas H. Myers Materials Science Engineering & Commercialization Program Texas State University San Marcos TX USA Center for Photonics Innovation Tempe AZ USA School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ USA

ISBN: (纸本)9781479943975

Confocal photoluminescence is shown to be a powerful tool for analyzing defect structure in epitaxial CdTe appropriate for photovoltaic applications. Non-radiative defects such as dislocations are easily mapped and quantified. Photoluminescence intensity measurements are shown to be a valuable tool for quantifying interface state density. Very low dislocation density and twin content can be achieved for epitaxial CdTe, and low interface state densities result from using CdMgTe barriers.

关键词： Epitaxial growth Radiative recombination DH-HEMTs Indexes Gallium arsenide Lenses

来源：评论

学校读者我要写书评

暂无评论

Salt Hash Password Using MD5 Combination for Dictionary Attack Protection

Salt Hash Password Using MD5 Combination for Dictionary Atta...

引用

International Conference of computer and Informatics engineering (IC2IE)

作者： Agung Nugroho Teddy Mantoro Cyber Defense Engineering Study Program Sains and Defense Technology Faculty The Republic of Indonesia Defense University Bogor Indonesia Departement of Computer Science Media-Tech Lab Sampoerna University Jakarta Indonesia

Using MD5 hashing of passwords in web logins is highly vulnerable to dictionary attacks. One online application for cracking hashed passwords using a dictionary attack that is free and easy to use is ***. Even so, the use of hashing passwords using MD5 which has a low level of security is still commonly found to secure web login passwords. This research presents an increase in security through a combination of salt hash passwords when using MD5. The methodology of this study uses a quantitative experimental method to apply hash salt passwords using the MD5 combination. The password cracking test was carried out using the *** online hash cracking application on weak passwords such as “admin” with the addition of a password hash salt using the MD5 combination. The results showed that Salt Password using the MD5 combination could not be cracked by *** using a dictionary attack.

关键词：

来源：评论

学校读者我要写书评

暂无评论

DPRL: a language for representation of operation and safety maintenance procedures of nuclear power plants 90

DPRL: a language for representation of operation and safety ...

引用

Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2

作者： Rajiv Bhatnagar D. W. Miller B. K. Hajek B. Chandrasekaran Center for Space Research Massachusetts Institute of Technology Cambridge MA Nuclear Engineering Program The Ohio State University Columbus Ohio Department of Computer and Information Science The Ohio State University Columbus Ohio

来源：评论

学校读者我要写书评

暂无评论

cognitive modelling with multilayer networks: Insights, advancements and future challenges

arXiv

引用

arXiv 2022年

作者： Stella, Massimo Citraro, Salvatore Rossetti, Giulio Marinazzo, Daniele Kenett, Yoed N. Vitevitch, Michael S. CogNosco Lab Department of Computer Science University of Exeter Exeter United Kingdom Department of Computer Science University of Pisa Pisa Italy Institute of Information Science and Technologies National Research Council Pisa Italy Faculty of Psychology and Educational Sciences Department of Data Analysis University of Ghent Ghent Belgium Cognitive Complexity Lab Faculty of Industrial Engineering and Management Technion Israel Institute of Technology Israel Department of Psychology University of Kansas LawrenceKS United States

The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Decades of psychological experiments have shown that conceptual associations across multiple, interactive cognitive levels can greatly influence word acquisition, storage, and processing. How can semantic, phonological, syntactic, and other types of conceptual associations be mapped within a coherent mathematical framework to study how the mental lexicon works? We here review cognitive multilayer networks as a promising quantitative and interpretative framework for investigating the mental lexicon. cognitive multilayer networks can map multiple types of information at once, thus capturing how different layers of associations might co-exist within the mental lexicon and influence cognitive processing. This review starts with a gentle introduction to the structure and formalism of multilayer networks. We then discuss quantitative mechanisms of psychological phenomena that could not be observed in single-layer networks and were only unveiled by combining multiple layers of the lexicon: (i) multiplex viability highlights language kernels and facilitative effects of knowledge processing in healthy and clinical populations;(ii) multilayer community detection enables contextual meaning reconstruction depending on psycholinguistic features;(iii) layer analysis can mediate latent interactions of mediation, suppression and facilitation for lexical access. By outlining novel quantitative perspectives where multilayer networks can shed light on cognitive knowledge representations, also in next-generation brain/mind models, we discuss key limitations and promising directions for cutting-edge future research. © 2022, CC BY.

关键词： Network layers

来源：评论

学校读者我要写书评

暂无评论

Apply Masked-attention Mask Transformer to Instance Segmentation in Pathology Images

Apply Masked-attention Mask Transformer to Instance Segmenta...

引用

International Symposium on computer, Consumer and Control (IS3C)

作者： Jia-Chun Sheng Yi-Sheng Liao Chun-Rong Huang Department of Computer Science and Engineering National Chung Hsing University Taichung Taiwan Cross College Elite Program and Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University Tainan Taiwan

Instance segmentation can be applied for the discrimination and diagnosis of cancer cells in pathology images. Accurate segmentation of each pathological cell in the pathology images can improve the efficiency of clinical diagnosis. In this paper, we aim to evaluate the state-of-the-art transformer-based instance segmentation method, masked-attention mask transformer (Mask2Former)[1], on pathology datasets. With the pretrained model of Mask2Former on the natural image instance segmentation dataset, we show that Mask2Former can be adaptive to small pathological datasets and achieve comparable or even better instance segmentation performance compared with the state-of-the-art task-specific pathology image instance segmentation methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Calibration of Low-Cost Sensor Data for Ambient PM 2.5 Monitoring Across Urban and Rural Settings in South Central Uganda

引用

Atmospheric Pollution Research 2025年

作者： Sophia Le William Checkley Lauren Dudley Joseph Ssuuna Anthony Ndyanabo Engineer Bainomugisha Joel Ssematimba Richard Sserunjogi Deo Okedi Deo Okure Joseph Kagaayi Larry Chang Kirsten Koehler Laura Nicolaou Department of Environmental Health and Engineering Bloomberg School of Public Health Johns Hopkins University Baltimore MD 21205 USA Center for Global Non-Communicable Disease Research and Training Johns Hopkins University Baltimore MD 21287 USA Department of International Health Bloomberg School of Public Health Johns Hopkins University Baltimore MD 21205 USA Division of Pulmonary and Critical Care School of Medicine Johns Hopkins University Baltimore MD 21287 USA Rakai Health Sciences Program Kalisizo Uganda AirQo Department of Computer Science Makerere University Kampala Uganda Division of Infectious Diseases School of Medicine Johns Hopkins University Baltimore MD 21827 USA

Air pollution is a leading risk factor for the global burden of disease. There are limited data from Sub-Saharan Africa (SSA). This study addresses significant data gaps in air quality monitoring in South-Central Uganda. Using a network of 27 low-cost air quality monitors in the rural Rakai region and urban cities of Masaka and Kampala, we developed a locally tailored calibration model for ambient PM 2.5 concentrations. The model incorporates ambient temperature and relative humidity, demonstrating robust performance with an R 2 of 0.93 and a root mean squared error (RMSE) of 3.97 μg/m 3 . Mean PM 2.5 concentrations during the dry and wet seasons were 20.2 μg/m 3 and 11.8 μg/m 3 in rural areas, and 29.6 μg/m 3 and 18.1 μg/m 3 in urban areas, respectively. We observed diurnal variations, with PM 2.5 levels peaking in the early morning (7 AM to 9 AM) and late evening (6 PM to 10 PM), correlating with peak traffic hours. Low-cost sensors can enhance air quality research in regions like South-Central Uganda that lack air pollution data. Calibration tailored to local conditions can improve measurement accuracy of ambient PM 2.5 concentrations.

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：