检索结果-内蒙古大学图书馆

International Conference on Computing and Networking Technology (ICCNT)

作者： Lakshya Swarup Richa Tiwari Dattatraya Babanrao Nalawade N. Thangarasu Rajat Saini A Keerthika Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India School of Mangement - UG Management JAIN (Deemed to be University) Bangalore Karnataka Vishwakarma Institute of Technology Pune Department of Computer Science Karpagam Academy of Higher Education Coimbatore Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

The increasing use of communications software programs for replacing sensitive data requires cozy designs that prevent malicious actors from viewing or tampering with data. Verifiable security schemes offer an additional layer of assurance for communications software program designs; quantifying the benefits of such schemes is crucial for assessing their practicality. This work proposes a prevalent framework for quantifying the blessings of verifiable security schemes in communications software layout. The framework evaluates three factors: facts leakage, overhead price, and reliability. The usage of information theoretical metrics inclusive of Shannon entropy and mutual records quantifies facts leakage. Overhead value is evaluated at the protocol and machine tiers, taking account of metadata and associated computational prices. Reliability is classified by way of looking at device disruption and denial of carrier attack risks and is, for this reason, calculated on the grounds of gadget availability. A simulation-based evaluation is supplied to demonstrate the effectiveness of the proposed framework. The proposed framework offers a complete assessment of verifiable protection schemes, permitting selection makers to greater as it should be compare extraordinary device designs and pick out the most suitable one for their utility. This will, in turn, contribute to improving the safety and robustness of the verbal exchange software program layout.

关键词： Software design Protocols Layout Reliability theory Software Robustness Software reliability Security Protection Standards

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Algorithms for the Prediction of Renal Failure: A Case Study from Tanzania’s Muhimbili National Hospital

Deep Learning Algorithms for the Prediction of Renal Failure...

引用

Advancements of Artificial Intelligence in African Context (AAIAC), International Conference on the

作者： Titus Fihavango Faraja Igira Neema Talawa Shukrani Phillip Department of Molecular Biology and Genetics Kadir Has Univerisity Istanbul Turkye Department of Computer Science The Institute of Finance Management Daresalaam Tanzania Department of Information Communication Technology and Mathematics College of Business Education Dodoma Tanzania Department of Medical Science and Technology Mbeya University of Science and Technology Mbeya Tanzania

Renal failure occurs when kidney function fails, and the nephron is the major engine for renal function. Patients fail to detect kidney disease in its early stages, leaving them with just two options: kidney transplantation or renal dialysis, both of which are excessively expensive, with dialysis costing roughly 27,440 USD per year and kidney transplants costing 45,000 USD. As a result, developing the framework for the decision support system will aid doctors in reaching the study’s goal. This study proposes that Deep learning be used to predict renal failure before it proceeds to the chronic stage. The data set was given by Tanzania’s Muhimbili National Hospital. The framework predictor of renal failure was determined using six machine learning techniques (Logistic Regression, Linear Discriminant Analysis, K-Neighbors Classifier, Decision Tree Classifier, Gaussian Naive Bayes, and Support Vector Machine). The best performance was reported to be a Gaussian Naive Bayes and Decision Tree classifier with 100% accuracy, followed by a Support Vector Machine and Logistic Regression with 98.6% accuracy. Cross-validation, confusion matrix, and receiver operating characteristics were also used to evaluate the framework. The precision measurements, recall measures, and f1-score scores serve as the foundation for the renal failure framework’s 100% accuracy performance. We proposed that Gaussian Naive Bayes and Decision Tree classifiers be used to predict renal failure.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Voice-Based Virtual-Controlled Intelligent Personal Assistants

Voice-Based Virtual-Controlled Intelligent Personal Assistan...

引用

Computational Intelligence, Communication Technology and Networking (CICTN), International Conference on

作者： Satya Prakash Yadav Amit Gupta Caio Dos Santos Nascimento Victor Hugo C. de Albuquerque Mahaveer Singh Naruka Sansar Singh Chauhan Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management (GLBITM) GreaterNoida U.P. India Graduate Program in Telecommunications Engineering. (PPGET) Federal Institute of Education Science and Technology of Ceará (IFCE) Fortaleza-CE Brazil Computer Science and Engineering Graphic Era Hill University Dehradun Uttarakhand India Department of Teleinformatics Engineering Federal University of Ceará Fortaleza Fortaleza/CE Brazil Computer Science & Engineering GL Bajaj Institute of Technology & Management Greater Noida India

Virtual assistants are improving and providing consumers with greater advantages. The comprehension and fulfilment of requests by virtual assistants will increase as voice recognition and natural language processing continue to grow. Virtual assistants are projected to be employed in more commercial activities as speech recognition technology advances. The main goal of developing personal assistant software (virtual assistant) is to use web-based semantic data sources, user-generated content, and knowledge from knowledge libraries. Basically, main objective of making this Voice-Based Virtual Assistant is to make life easier and having a personal assistant to everyone which can perform many tasks. As the end user interacts with a virtual assistant, the AI programming learns from the data provided and improves its ability to forecast the end user's needs. Virtual assistants are often used to do things like add tasks to a calendar, provide information that would normally be found in a website, and operate and monitor Smart Home devices like lighting and cameras and thermostats. Massive volumes of data are required to fuel virtual assistant technologies, which feed Artificial Intelligence (AI) platforms such as machine learning, natural language processing, and speech recognition. Speech recognition has a lengthy history and has seen several key advancements. On smartphones and wearable devices, speech recognition for dictation, search, and voice commands has become a standard feature. Design of a small, large vocabulary speech recognition system that can run quickly, accurately, and with minimum latency on mobile devices.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Ultra-Low Energy 5G IoT Devices with Updatable AI Models: A Dynamic AI-IoT Perspectives

Ultra-Low Energy 5G IoT Devices with Updatable AI Models: A ...

引用

Communications and Information technologies (GCCIT), Global Conference on

作者： Dharmesh Dhabliya K. Yuvaraj Rahul Chauhan Dikshit Sharma Kala Priyadarshini G Shankar Prasad S Department of Information Technology Vishwakarma Institute of Technology Pune India Department of Computer Science Karpagam Academy of Higher Education Coimbatore Computer Science and Engineering Graphic Era Hill University Dehradun Adjunct Professor Graphic Era Deemed to be University Dehradun Uttarakhand India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Electrical and Electronics Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai School of Management - UG Management JAIN (Deemed to be University) Bangalore Karnataka

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

Ultra-Low-Power (ULP) Internet of Things (IoT) devices are becoming more important in the fast developing 5G and possible 6G networks, and this study tackles the problem of incorporating dynamic AI capabilities into these devices. We present the Dynamic AI-IoT design, a new framework that aims to do away with the tedium of firmware upgrades. This design makes use of Narrowband IoT (NB-IoT) to make cloud interactions run smoothly and includes specialized firmware modifications to make dynamic interactions with TinyML models possible. Many sectors rely on deep learning that is based on massive amounts of high-quality data. The information accumulation of the framework relies on real-time acquisitions, which makes it difficult to directly implement deep learning in a real-time system. But such systems' analytical activities can't be done by collecting data for a lengthy period since they need to be executed in real time. This research presents a novel progressive deep-learning architecture and performs experiments on picture identification to address the challenges of high-quality data collection, high-timeliness data processing, and the difficulties of directly integrating deep-learning algorithms in real-time systems. The experimental findings demonstrate the efficacy, performance, and ability to get a conclusion comparable to the deep-learning architecture using large-scale data. An advanced method for managing memory is presented for the effective handling of AI tasks; it is based on memory alignment and the dynamic resolution of AI activities. Through the use of ULP IoT gadgets on a 5G testbed, empirical investigations show that the implementation of a Dynamic AI-IoT network is feasible. With an average inference duration of around 46 ms and model updates averaging less than one second, the findings are impressive.

关键词： Deep learning 5G mobile communication Heuristic algorithms Tiny machine learning Data collection Real-time systems Internet of Things Artificial intelligence Microprogramming Narrowband

来源：评论

学校读者我要写书评

暂无评论

A Machine Learning Approach for Enhanced Security Using Blockchain in Finance Auditing Services

A Machine Learning Approach for Enhanced Security Using Bloc...

引用

International Conference on Computing and Networking Technology (ICCNT)

作者： M.Sheerin Banu Nikhat Parveen R. Gayathri Anju Gera Sunil Kumar G. Anitha Department of Information Technology R.M.K. Engineering College Kavaraipettai Tamil Nadu India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh India Department of ECE Rajalakshmi Engineering College Chennai Tamilnadu India Department of Computer Science and Engineering G.L Bajaj Institute of Technology and Management Greater Noida Uttar Pradesh India Faculty of Commerce and Management SGT University Gurugrm Haryana India Department of ECE R.M.D. Engineering College Tamilnadu India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

In financial auditing services, which is constantly evolving, it is of the utmost importance to establish stringent security protocols. Since the financial sector is increasingly being targeted by sophisticated cyber-attacks, solutions are required to protect sensitive information and prevent the integrity of financial audits from being compromised. Conventional security measures, in many instances, do not devote sufficient attention to addressing the known vulnerabilities that exist in the auditing systems that are currently in use. This research proposes a novel approach to enhance security in financial auditing services by integrating Support Vector Machines (SVM) with Blockchain technology. By combining Blockchain technology with Machine Learning (ML), and more specifically SVM, this research suggests a novel approach to enhancing the level of security that can be achieved. Taking advantage of the inherent capability of SVMs to correctly categorise and predict potential security concerns, the research makes use of these models for the purposes of machine learning. Utilising Blockchain technology allows for the generation of a record that can be audited since it is reliable and verifiable. By combining SVM with Blockchain, it is possible to quickly identify and resolve any security breaches that may have occurred. The findings indicate that the level of protection provided by financial auditing services has significantly increased in recent years. Considering that the SVM with Blockchain architecture can recognise and classify a wide variety of threats, it has the potential to be utilised in the process of making defences more proactive and robust.

关键词： Support vector machines Adaptation models Protocols Computational modeling Machine learning Market research Blockchains Security Reliability Protection

来源：评论

学校读者我要写书评

暂无评论

Grape ivy (Parthenocissus tricuspidata) extracts with bioactive compounds

引用

UPB Scientific Bulletin, Series B: Chemistry and Materials science 2021年第3期83卷 193-202页

作者： Ciungulete, Gabriela Georgiana Rau, Ileana Iosub, Ion Geana, Elisabeta-Irina Niculescu, Violeta Faculty of Applied Chemistry and Materials Science University POLITEHNICA of Bucharest Romania Faculty of Applied Chemistry and Materials Science Dept. of General Chemistry University POLITEHNICA of Bucharest Romania University of Piteşti Faculty of Sciences Physical Education and Computer Science Department of Natural Sciences Romania National Research and Development Institute for Cryogenics and Isotopic Technologies – ICSI Rm Romania

The purpose of this paper is to present the results obtained regarding the extraction and characterization of the grape ivy (Parthenocissus tricuspidata) extract. Its fruits, grapes, are intensively colored and their skin was used to obtain a colored extract rich in anthocyanidins. HPLC, Liquid chromatography-mass spectrometry (LC-MS) and UV-VIS spectrophotometry were employed to characterize and identify the main extract compounds. The total polyphenol content was determined using the Folin Ciocalteu method while the total flavonoid content was spectrofotometrically evaluated. Additionally, the solvatochromic effect was investigated using different solvents. To highlight the fluorescence of the extract qualitative investigations were performed. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Fluorescence

来源：评论

学校读者我要写书评

暂无评论

Drones for Assessments: Internal and External Research Efforts

Drones for Assessments: Internal and External Research Effor...

引用

Communication, Computing and Energy Efficient technologies (I3CEET), International Conference on

作者： Ayushi Nidhi Soni Kamal Sharma Muntather Almusawi Pattabhi Rama Mohan P K. Ranjith Singh Department of Computer Science Engineering Chandigarh Engineering College Chandigarh Group of Colleges Jhanjeri Mohali Punjab India Department of Computer Science & Engineering IES Institute of Technology and Management IES University Bhopal M.P. India Department of Mechanical Engineering GLA University Mathura India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Information Technology Aditya Engineering College Surampalem India Department of Computer Science Karpagam Academy of Higher Education Coimbatore India

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

The FAA has recently relaxed restrictions on the use of drones, or unmanned aerial vehicles, for business reasons. According to the Gartner Group's Rapid Cycle, markets for industrial ramble use are at the innovation trigger stage. Advancements are occurring swiftly in the real estate, agricultural, cinema, security, and other sectors. Many industry the cell tower reviews have suggested looking into and reviewing the uses of rambles. Previous research suggests a step-by-step approach to implementing novel innovations like continuous investigation. These propositions are expanded upon in this study to reflect the additional requirements for rambling advancements. This framework is extended here by defining the use of chats in review scenarios, emphasizing the continuous versus sporadic use of ramble advances, broadening the scope of specialized acceptance engineering to include the use of rambles, and taking into account the types of ramble uses that are acceptable to both internal and external reviews. Here, a specific architecture that satisfies the above requirements is suggested for modeling stock inspections in large warehouses or open-air inventories. Additionally, by expanding the discussion of innovation appropriation in the paper to include the use of rambles in a variety of review settings, identifying the types of rambles that are used in review settings, and taking into consideration the blueprint of such a framework, this proposal adds value to the current investigation.

关键词： Technological innovation Reviews Microprocessors Poles and towers computer architecture Motion pictures Telecommunication computing Security Proposals Drones

来源：评论

学校读者我要写书评

暂无评论

Fast and Secure Coding for Wireless Networks

Fast and Secure Coding for Wireless Networks

引用

International Conference on Computing and Networking Technology (ICCNT)

作者： Seema Sambargi Y.V. Dongre N. V. Balaji Saniya Khurana Sowmiya S Sidhant Das School of Mangement - UG Management JAIN (Deemed to be University) Bangalore Karnataka comp Vishwakarma Institute of Technology Pune Department of Computer Science Karpagam Academy of Higher Education Coimbatore Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Computer Science and Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai Chitkara Centre for Research and Development Chitkara University Himachal Pradesh India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Speedy and comfy coding for wireless networks is an essential problem in the trendy computing landscape. Wi-fi networks have become increasingly commonplace in recent years, and they present specific demanding situations for code builders. To ensure certain cozy, reliable, and efficient overall performance of network applications, developers must be able to quickly and appropriately generate code for wireless structures. The way to meet these requirements, builders have to be capable of selecting the most appropriate coding approaches to apply if they want to limit errors and maximize security. The main venture to developing easy and reliable code for wireless structures is the complexity of the underlying structures. The ever-increasing complexity of underlying community technologies renders conventional coding techniques inadequate. The elevated demands for real-time records and connection transmission exacerbate this. To address this venture, rapid and at-ease coding strategies need to be carried out. Those strategies can encompass, however are not constrained to, principles including comfy coding, exceptional coding practices, and diverse safety protocols. Principals of comfy coding confer with a method that emphasizes comfortable practices at some point in the improvement and protection of the codebase. This consists of proper protection practices along with authentication, encryption, enter validation, error dealing, and malicious code prevention. This technique allows make certain that the code is written in a strong, comfortable, and efficient manner.

关键词： Codes Protocols Wireless networks Encoding Complexity theory Security Reliability Communication system security Protection Wireless fidelity

来源：评论

学校读者我要写书评

暂无评论

Promoting art appreciation performances and behaviors in effective and joyful contexts: A two-tier test-based digital gaming approach

引用

computers and education 2023年 194卷

作者： Hwang, Gwo-Jen Chiu, Min-Chi Hsia, Lu-Ho Chu, Hui-Chun Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology Taiwan Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taiwan Office of Physical Education National Chin-Yi University of Technology Taiwan Department of Computer Science and Information Management Soochow University Taiwan

To enhance students' learning motivation and learning interest, scholars have attempted to incorporate game-based learning (GBL) into courses to improve conventional teaching which is mostly carried out using textbooks, presentations, or videos. However, one-tier tests were mainly adopted in previous GBL, meaning that it was difficult to identify whether students answered questions correctly by understanding knowledge or merely guessed the correct answer. Such tests also make it difficult to provide adequate feedback and guidance during the learning process. In order to solve this problem, a two-tier test-based digital gaming approach (TT-DGA) developed using RPG Maker was proposed in this study. It not only provided students with a more interesting way to learn art and view world-famous artworks in the game, but also introduced a two-tier test in the learning process to help students gradually construct professional art appreciation knowledge. To explore the effects of this approach, a total of 62 university students who took an elective art course were recruited in the current study. A quasi-experimental design was employed and the course was conducted physically during the Covid-19 pandemic. One class was the experimental group which adopted the TT-DGA for learning, while the other class was the control group which adopted the conventional gaming approach (C-DGA). The results showed that the TT-DGA could significantly enhance students’ learning achievement of art appreciation, learning motivation, learning attitudes, and flow experience. Based on the behavioral analysis, students in the experimental group were more active than those in the control group in terms of reading art history materials, watching videos, engaging in tests, and playing the game again. Finally, the interview results uncovered that the two-tier test could help students conduct self-inspection, confirm the accuracy of their understandings of knowledge, and correct misconceptions, and that DGB

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Image steganography in the IoMT and telemedicine: Residual and Enhanced Discriminative Network

Image steganography in the IoMT and telemedicine: Residual a...

引用

Communications and Information technologies (GCCIT), Global Conference on

作者： N. V. Balaji Sorabh Sharma Ashok Kumar Sahoo M J Murali Umakanth S Swati B. Patil Department of Computer Science Karpagam Academy of Higher Education Coimbatore Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Computer Science and Engineering Graphic Era Hill University Dehradun Graphic Era Deemed to be University Dehradun Uttarakhand India Department of Electrical and Electronics Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai School of Management - UG Management JAIN (Deemed to be University) Bangalore Karnataka Department of Information Technology Vishwakarma Institute of Technology Pune India

ISBN: (数字)9798350388916

ISBN: (纸本)9798350388923

Through the use of technology such as computers, phones, and medical equipment, telemedicine and the Internet of Medical Things (IoMT) enable off-site interactions between medical professionals, patients, and experts. Patient privacy or consultation outcomes might be jeopardized, leading to potentially catastrophic medical events, if the information sent in IoMT is unlawfully steganographic, altered, or leaked throughout transmission and storage. There is an immediate need to safeguard the privacy and value that is the picture data included in electronic health records (EHRs). A possible option may be image steganography. Consequently, a StegaStamp-based steganographic model for pictures from medical records is created. Medical record photos are document images, not like natural photographs, and hence they are susceptible to image cropping assaults. When it comes to detecting illicitly transmitted medical pictures in IoMT and telemedicine, steganalysis plays a crucial role. To address the challenges of picture steganalysis in IoMT and telemedicine, we provide RGAN-Net, a Residual Generative Adversarial Discriminative Network. A deep residual network, a steganographic information discriminative mechanism, and an augmentation module for steganographic information make up RGAN-Net. In order to improve the illicit steganographic signal in highly detailed medical images with complex textural qualities, the RGAN-Net utilizes a steganographic information improvement module. In order to extract and compress steganographic features, a deep residual network is used. The deep residual network uses a steganographic data discriminative technique to correct the steganographic characteristics and remove high-frequency characteristics that are erroneously classified as steganographic information. The range of RGAN-Net steganalysis error PE was found to be 0.0732-0.0010 and 0.231-0.026, respectively, in experiments carried out on public and private datasets with data concealing payl

关键词： Steganography Visualization Image coding Telemedicine Computational modeling Transform coding Feature extraction Decoding Biomedical imaging Residual neural networks

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：