检索结果-内蒙古大学图书馆

A combinatorial algorithm for finding straight skeleton of a digital object

Multimedia Tools and Applications 2025年 1-21页

作者： Maity, Anukul Dutt, Mousumi Biswas, Arindam Department of Computer Science and Engineering Narula Institute of Technology 81 Nilgunj Road Agarpara West Bengal Kolkata700109 India Department of Computer Science and Engineering St. Thomas’ College of Engineering and Technology 4 Diamond Harbour Road Kidderpore West Bengal Kolkata700023 India Department of Information Technology Indian Institute of Engineering Science and Technology Botanical Garden Road Shibpur West Bengal Howrah711103 India

The paper presents a combinatorial algorithm to find the straight skeleton of the inner isothetic cover of a digital object imposed on a uniform background grid. The isothetic polygon (orthogonal polygon) tightly inscribes the given digital object. The algorithm stated here finds the straight skeleton of any isothetic polygon (simple or non-simple) in O(nglogng) time in a single traversal by applying combinatorial rules, where n is the number of pixels on the boundary of the digital object and g is the grid size on which the digital object is imposed. To find the straight skeleton of non-simple orthogonal polygon, the polygon is divided into sub-parts which are a set of simple orthogonal polygons. The straight skeleton is generated for each of the sub-parts and the corresponding results are merged. The orthogonal polygon containing holes is cut at each holes and the polygon becomes hole-free. The algorithm to obtain the straight skeleton is applied on it. The disconnected hole parts are rejoined and the result is merged. The straight skeleton is useful shape descriptor of digital object. This algorithm stated here has applications in shape analysis. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Combinatorial optimization

来源：评论

学校读者我要写书评

暂无评论

A top-down character segmentation approach for Assamese and Telugu handwritten documents

引用

Journal of Ambient Intelligence and Humanized Computing 2024年第9期15卷 3275-3287页

作者： Dutta, Prarthana Muppalaneni, Naresh Babu Department of Computer Science and Engineering National Institute of Technology Assam Silchar786003 India Department of Computer Science and Engineering The Assam Kaziranga University Assam Jorhat785006 India Indian Institute of Information Technology Design and Manufacturing Kurnool Andhra Pradesh Kurnool India

Digitization offers a solution to the challenges associated with managing and retrieving paper-based documents. However, these paper-based documents must be converted into a format that digital machines can comprehend, as they primarily understand alphanumeric text. This transformation is achieved through Optical Character Recognition (OCR), a technology that converts scanned image documents into a format that machines can process. A novel top-down character segmentation approach has been proposed in this work, involving multiple stages. Our approach began by isolating lines from handwritten documents and using these lines to segment words and characters. To further enhance the character segmentation, a Raster Scanning object detection technique is employed to isolate individual characters within words. Thus, the character segmentation results are integrated from the results of the vertical projection and raster scanning. Recognizing the significance of advancing digitization of handwritten documents, we have chosen to focus on the regional languages of Assam and Andhra Pradesh due to their historical and cultural importance in India’s linguistic diversity. So, we have collected datasets of handwritten texts in Assamese and Telugu languages due to their unavailability in the desired form. Our approach achieved an average segmentation accuracy of 93.61%, 85.96%, and 88.74% for lines, words, and characters for both languages. The key motivation behind opting for a top-down approach is two-fold: firstly, it enhances the accuracy of character recognition, and secondly, it holds the potential for future use in language/script identification through the utilization of segmented lines and words. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

The Face Sync - Smart Attendance System 4

The Face Sync - Smart Attendance System

引用

4th International Conference on Expert Clouds and Applications, ICOECA 2024

作者： Asha, P. Bekkem, Chakradhar Reddy Priya, Y Soni Mathivanan, G. Grace, L. K. Joshila Srinivasan, N. Sathyabama Institute of Science and Technology Computer Science and Engineering Chennai India

ISBN: (纸本)9798350385793

The existing attendance marking in various institutions, including schools and offices, is fraught with various challenges. Traditional methods, such as manual data collection through individual calls, are time-consuming and prone to errors. However, advancements in technology offer automated solutions that streamline the process and ensure accurate record-keeping. In this context, this study proposes the implementation of 'The Face Sync-Smart Attendance Marking System, ' which leverages cutting-edge technologies for face identification and analysis. Developed using deep learning algorithms, this system effectively recognizes faces by analyzing gathered data. The recorded attendance data is then transmitted to the host via email for further processing. The proposed system is implemented using Python programming language and utilizes libraries such as CV2, Face Recognition, and Smtplib to achieve its functionality. This innovative approach promises to revolutionize attendance management, enhancing efficiency and reliability across various organizational settings. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Trust management in online computing environment: a complete review

引用

Journal of Ambient Intelligence and Humanized Computing 2024年第1期15卷 491-545页

作者： Singh, Ashish Chatterjee, Kakali School of Computer Engineering KIIT Deemed to be University Odisha Bhubaneswar751024 India Department of Computer Science and Engineering National Institute of Technology Bihar Patna800005 India

Nowadays, trust management plays a significant role in different applications like commercial applications, Internet of Things (IoT) based applications, social networking applications, cloud computing-based applications, sensor networks, online services, and many more. Thus, it is an important research area for industry and engineering research communities. The concept of trust is mainly derived from long-term sociological and psychological human behaviour. It is used for decision-making purposes in different contexts and perspectives. Many growing research studies address the development of trust computation models using different approaches in different areas, such as cloud computing, P2P networks, online social network, etc. Still, most of the prior work does not provide a comprehensive systematic review of different trust management systems nor provide sufficient details about the computation process. In this paper, we have discussed a systematic review of the existing trust management systems by indicating the limitation of previous works. A systematic review started with research question identification, followed by searching and filtration of relevant works, and ended with a comparison and final report. A detailed comparative study of trust computational models will help understand the security and privacy aspects of trust. This survey provides a detailed study of each trust taxonomy and computation model in different online computing environments. The survey result finds several trust computation techniques. The results also say that trust in the online computing environment provides greater security and protection against several threats and attacks. Despite the potential benefits of trust, the results also included challenges and open research issues that are still opportunities for new researchers. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Efficient Mental Health Therapist Chatbot Assisted by Artificial Intelligence 10

Efficient Mental Health Therapist Chatbot Assisted by Artifi...

引用

10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024

作者： Asha, P. Adhithya, B. Hariharan, R.S. Srinivasan, N. Joshila Grace, L.K. Ronald Doni, A. Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384369

This work suggests developing an AI-based chat bot that may serve as a mental health therapist in order to address the expanding need for readily available mental health care. This chat bot provides users with a safe and understanding space to discuss their emotions and concerns. It is built on Natural Language Processing (NLP) along with Machine Learning principles. The chat bot's operations are based on the fundamental concepts of Sentiment Analysis, Emotion Recognition, and Natural Language Understanding. Employing these techniques supports the chat bot to efficiently evaluate and categorize user input, thereby aids in effective understanding of the user's emotional state and intent. The chat bot delivers user support by recognizing emotions, offering tailored advice, and directing users to relevant mental health resources. It prioritizes user privacy, ensuring a secure space for open discussions, while continuous learning enables ongoing improvements in providing meaningful assistance. © 2024 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Bone Fracture Detection using YOLOv8 and OpenCV 2

Bone Fracture Detection using YOLOv8 and OpenCV

引用

2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024

作者： Brikila, J. Praneeth Varma, I.V.S. Anand, Abhilakshay SRM Institute of Science and Technology Computer Science and Engineering Chennai India

ISBN: (纸本)9798331534950

This study introduces a deep learning method for automatically detecting bone fractures with the YOLOv8 object detection model, developed to aid radiologists in accurately and efficiently interpreting X-ray images. The model was developed using a carefully selected dataset of categorized X-ray pictures, utilizing convolutional neural networks (CNNs) to capture important spatial characteristics for fracture detection. The main parts of the experimental setup involved splitting the dataset, fine-tuning model settings, and assessing performance with precision, recall, F1-score, and mean Average Precision (mAP) metrics. The findings showed a high level of accuracy in classifying fractures, with the model successfully identifying and categorizing them while also striking a balance between precision and recall. Sample detections were displayed for qualitative evaluation, and error analysis identified areas for model improvement, specifically in detecting minor fractures. The results show that the YOLOv8 detection model is a promising method for quickly identifying bone fractures, which could improve accuracy in diagnosis and aid in medical imaging decision- making. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Advanced Computational Techniques In Stroke Prediction: Analyzing Cardiac And Vascular Bio-Signals

Advanced Computational Techniques In Stroke Prediction: Anal...

引用

2024 International Conference on Recent Innovation in Smart and Sustainable technology, ICRISST 2024

作者： Kathiravan, M. Raju, Boya Vengata Thirupathi Rao, K. Hindustan Institute of Technology and Science Computer Science and Engineering Chennai India

ISBN: (纸本)9798350309140

Stroke is a potentially fatal or disabling condition, making it crucial to promptly identify the early warning signs. Ischemic and hemorrhagic strokes are clinically differentiated, necessitating immediate management with thrombolytic or coagulant medication. Initially, it is imperative to identify the prompt indicators of a stroke, which may differ across individuals and necessitate the involvement of a specialist and admission to a hospital. Previous research has primarily focused on post-stroke treatment rather than stroke prevention. Recent research has shown a growing dependence on image processing, specifically MRI and CT scans, to identify and forecast prognostic indicators in individuals who have suffered from strokes. Identifying such processes in real time poses difficulties, and assessing these processes incurs costs and time constraints. This work introduces a multi-modal bio-alert system that utilizes photoplethysmography (PPG) and electrocardiogram (ECG) data to diagnose and evaluate cognitive stroke prognostic indicators in older individuals. We have created a stroke prediction gadget that uses a combination of regression algorithms to accurately estimate the occurrence of stroke infections in real-time, even when the user is walking outdoors. Elderly individuals can conveniently transport bio-signal sensing devices due to the meticulous apparatus that captures bio-indicators while walking at a sample rate of 1,000 Hz, either from the three conductors of the ECG or the forefinger for PPG. The performance and efficiency of the accurate prediction were proven through the real-time study of stroke patients in the senior age group. © 2024 IEEE.

关键词： Photoplethysmography

来源：评论

学校读者我要写书评

暂无评论

HASHL: Dynamic Hash Verification for Detecting and Preventing Eclipse Attacks

引用

IEEE Internet of Things Journal 2025年第13期12卷 23524-23535页

作者： He, Daojing Gong, Wei Tu, Chen Chan, Sammy Harbin Institute of Technology School of Computer Science and Technology Shenzhen China Jiangxi University of Science and Technology School of Information Engineering Jiangxi Ganzhou China City University of Hong Kong Department of Electrical Engineering Hong Kong

With the rapid development of blockchain technology, P2P networks are facing increasing security threats, among which Eclipse attacks, as a type of network isolation attack, have seriously affected the normal operation of the network and the integrity of data. To address this challenge, this study implements node authentication and dynamic reputation evaluation by leveraging a dynamic hash computation mechanism that integrates challenge strings, node identifiers, and the latest active time, ensuring the uniqueness of node identities and the authenticity of operations. Based on a dynamic hash chain behavior evaluation mechanism, node behaviors are quantified across three dimensions: integrity, consistency, and temporal consistency, enabling precise identification of anomalous nodes. Furthermore, a network prevention repository framework is proposed, which dynamically adjusts the trust index of nodes by combining historical behavior with real-time data, effectively detecting and defending against stealthy Eclipse attacks. In addition, extensive testing on both Bitcoin and Ethereum platforms has shown that the method proposed in this study not only can effectively coexist on these two platforms, but also significantly improves the security and stability of the network, effectively reducing the occurrence of Eclipse attacks. © 2014 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

A novel approach for image retrieval in remote sensing using vision-language-based image caption generation

引用

Multimedia Tools and Applications 2025年第6期84卷 2985-3014页

作者： Yadav, Prem Shanker Tyagi, Dinesh Kumar Vipparthi, Santosh Kumar Department of Computer Science and Engineering Malaviya National Institute of Technology Rajasthan Jaipur302017 India School of Artificial Intelligence and Data Engineering Indian Institute of Technology Ropar Punjab Rupnagar140001 India

Recent advancements in satellite technologies have resulted in the emergence of Remote Sensing (RS) images. Hence, the primary imperative research domain is designing a precise retrieval model for retrieving the most pertinent images based on the query. Present Remote Sensing Image Retrieval (RSIR) systems use visual descriptors to characterize the primitives (such as various land-cover types) that are visible in the images. However, the visual descriptors are inadequate for defining the complicated content of RS images. To solve this problem, a new model is devised for image retrieval based on image captions. The goal is to generate textual illustrations with captions to define relations amongst objects precisely. Here, image captioning is attained based on the vision-language pre-training model. The image captions are utilized for generating features like term frequency-inverse document frequency (TF-IDF), length of text, and Bag of Words. Meanwhile, query text is utilized wherein features like TF-IDF, text length, and Bag of Words are obtained. The similarity between query text features and the image captions features has been computed on the basis of a hybrid similarity measure wherein weights are tuned with the proposed Honey Badger Political Optimizer (HBPO) to retrieve the image. The proposed HBPO provided enhanced efficiency with elevated precision of 93.3%, recall of 93.7%, F1-score of 93.5%, and Recall-Oriented Understudy for Gisting Evaluation (ROUGE) of 0.441. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Visual languages

来源：评论

学校读者我要写书评

暂无评论

A perspective to ammonia-hydrogen energy industry in China

引用

science China Chemistry 2024年第6期67卷 1765-1775页

作者： Baoshun Zhang Wangyang Ji Jiewei Zhu Baian Shen Menghao Lv Bin Zhang Tihu Wang Yifu Yu Department of Chemistry Institute of Molecular PlusSchool of ScienceTianjin UniversityTianjin300072China Tianjin University-Asia Silicon Joint Research Center of Ammonia-Hydrogen New Energy Asia Silicon(Qinghai)Co.Ltd.Xining810007China Department of Catalysis Science and Engineering School of Chemical Engineering and TechnologyTianjin UniversityTianjin300072China

1 *** meet the 1.5℃ climate goal in our planet,the world is making a hard work for decarbonization[1-5].Constructing a clean energy system based on green energy is considered as the most promising way to achieve the ... 详细信息

关键词： ammonia planet energy

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：