检索结果-内蒙古大学图书馆

Detection of Driver Drowsiness Using Adaptive Eye Characteristic Ratio for Enhanced Road safety

IEEE Access 2025年 13卷 84313-84328页

作者： Lamba, Puneet singh Jain, Rimjhim Khan, shakir Alanazi, sultan M. Jain, Achin Zamani, Abu Taha Panwar, Arvind Abdallah, Alsadig Mohammed Adam University of Delhi S. G. T. B. Khalsa College Department of Computer Science New Delhi110007 India University of North Carolina at Charlotte CharlotteNC28223 United States College of Computer and Information Sciences Information Technology Department Riyadh11432 Saudi Arabia Northern Border University Faculty of Science Department of Computer Science Arar73213 Saudi Arabia Bharati Vidyapeeth’s College of Engineering Department of Information Technology New Delhi110063 India Galgotias University School of Computer Science and Engineering Uttar Pradesh Greater Noida203201 India

Every year, countless people lose their lives in serious car accidents, and drowsy driving is a major cause. However, because the earliest indications of exhaustion can be identified before a dangerous scenario develops, the detection and signaling of driver drowsiness are ongoing research topics. This study presents a real-time detection system designed to detect driver’s sleep and deliver timely warnings. The mechanism employs an eye monitoring system that uses eye feature points to detect whether a driver’s eye is tired and delivers an alert if the driver is drowsy. The proposed work recognizes the driver’s face by collecting facial landmarks and gives warning to the driver to avoid crashes by performing adaptive thresholding and drowsiness diagnoses based on Eye Characteristic Ratio. The empirical results show that using random forest classifier, decision tree classifier, KNN classifier, and multinomial classifier, the proposed model achieved 90.48%, 89.44%, 88.63%, and 84.32% accuracy, respectively. © 2013 IEEE.

关键词： Highway accidents

来源：评论

学校读者我要写书评

暂无评论

An Energy & Cost Efficient Task Consolidation Algorithm for Cloud Computing systems 1st

An Energy & Cost Efficient Task Consolidation Algorithm for ...

引用

1st International Conference on Advancements in smart Computing and Information security, AsCIs 2022

作者： Kumar, sachin Pal, saurabh singh, satya singh, Raghvendra Pratap singh, sanjay Kumar Jaiswal, Priya Department of Computer Applications V.B.S.P.U U.P. Jaunpur India Department of Computer Science and Applications M.G.K.V.P U.P. Varanasi India Department of Computer Science and Engineering Kashi Institute of Technology-Varanasi U.P. Varanasi India

ISBN: (纸本)9783031230912

The power consumption of untapped resources, especially during a cloud background, represents a significant sum of the specific power use. by its nature, a resource allotment approach that takes into account the use of resources would direct to better power efficiency;this, in clouds, expands even additional, and with virtualization techniques often jobs are easily combined. Job consolidation is an effective way to expand the use of resources and sequentially reduce power consumption. Current studies have determined that server power utilization extends linearly with processor resources. This hopeful fact highlights the importance of the involvement of standardization to reduce energy utilization. However, merging tasks can also cause freedom from resources that will remain idle as the attraction continues. There are some remarkable efforts to decrease idle energy draw, usually by putting computer resources into some kind of power-saving/sleep mode. Throughout this article, we represent 2 power-conscious task reinforcement approaches to maximize resource use and explicitly consider both passive and active power consumption. Our inferences map each job to the resource at which the power consumption to perform the job is implicitly or explicitly reduced without degrading the performance of that task. supporting our investigational outcome, our inference methods reveal the most promising power-saving potential. © 2022, The Author(s), under exclusive license to springer Nature switzerland AG.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

Uniform Coherence in Amalgamated Algebra Along an Ideal

Uniform Coherence in Amalgamated Algebra Along an Ideal

引用

International Conference on Algebra and its Applications, ICAA 2023

作者： Ismaili, Karima Alaoui Kim, Hwankoo Mahdou, Najib Department of Mathematics Faculty of Sciences of Rabat Mohammed V University in Rabat B.P. 1014 Rabat Morocco Division of Computer Engineering Hoseo University Dongnam-gu Korea Republic of Modelling and Mathematical Structures Laboratory Department of Mathematics Faculty of Science and Technology of Fez University S.M. Ben Abdellah Fez Fez city2202 Morocco

ISBN: (纸本)9789819767977

The concept of uniform coherence was first introduced by soublin and has since been extensively explored by numerous researchers. A ring A is defined as uniformly coherent if there exists a function : N → N, where N represents the set of natural numbers, such that for every n ∈ N and each nonzero homomorphism f: An → A, the kernel ker( f ) can be generated by (n) elements. In this paper, we investigate how the property of uniform coherence is transferred to commuta-tive ring extensions. We establish necessary and sufficient conditions for rings such as A ⋈f J, A ⋈ I, and A ∝ E to possess uniform coherence, covering various classes of ideals and A-modules. Our study contributes to the development of new classes of rings that meet this criterion, and we also introduce new families of rings that demonstrate the distinctiveness of the categories of Noetherian and uniformly coherent rings. © The Author(s), under exclusive license to springer Nature singapore Pte Ltd. 2025.

关键词： Amalgamated algebra Coherent Noetherian Trivial ring extension Uniformly coherent

来源：评论

学校读者我要写书评

暂无评论

software Requirements Prioritization Using Fuzzy based TOPsIs Methods 2nd

Software Requirements Prioritization Using Fuzzy Based TOPSI...

引用

2nd International Conference on business Data Analytics, ICbDA 2023

作者： saxena, virat Raj Kumar, babloo Goel, Navnish sharma, Yogesh Kumar CSE-AI&M Department Raj Kumar Goel Institute of Technology Ghaziabad India Department of Computer Science and Engineering Dewan V S Institute of Engineering and Technology Meerut India Department of CSE IIMT Engineering College Meerut India

ISBN: (纸本)9783031807770

The success and quality of a project are directly impacted by the software development process’ crucial step of prioritising software requirements. The fuzzy Analytic Hierarchy Process (AHP) and fuzzy Technique for Order of Preference by similarity to Ideal solution (TOPsIs) are combined in this study to provide a thorough method for the methodical prioritisation of software requirements. We demonstrate the efficacy of this strategy using a real-world case study that makes use of an Institute Examination system (IEs). The technique is used to assess Functional Requirements after first identifying Non-Functional Requirements (NFRs), which include things like security, dependability, and economy and serve as crucial criteria for doing so. Pairwise comparison matrices (PCMs) are used to represent the various stakeholder perspectives. The Extent Fuzzy AHP is then used to calculate the weights of NFRs while accounting for decision-making’s inherent subjectivity. The Objective-based Requirements Elicitation Technique (ObRET) is used to elicit FRs, which are then evaluated in light of linguistic considerations. Our plan is based on the fuzzy TOPsIs method, which prioritises FRs by methodically processing the data. The process is completed by calculating Closeness Coefficients (cc) for each FR, which can be used to determine whether software is required. With the help of this integrated approach, project managers and software developers can use data to organise and prioritise needs, ensuring that software systems satisfy both crucial functional requirements and quality standards. In the end, it improves software project success by balancing the perspectives of various stakeholders, managing uncertainty, and raising software quality and user satisfaction. © The Author(s), under exclusive license to springer Nature switzerland AG 2025.

关键词： software quality

来源：评论

学校读者我要写书评

暂无评论

N-Gram-based Machine Learning Approach for bot or Human Detection from Text Messages 22

N-Gram-Based Machine Learning Approach for Bot or Human Dete...

引用

6th International Conference on Intelligent systems, Metaheuristics and swarm Intelligence, IsMsI 2022

作者： Kavadi, Durga Prasad sanaboina, Chandra sekhar Patan, Rizwan Gandomi, Amir Department Of Information Technology B V Raju Institute Of Technology Narsapur Telangana India Department Of Computer Science And Engineering University College Of Engineering Kakinada Jawaharlal Nehru Technological University Kakinada India Decentralized Science Lab College Of Computing And Software Engineering Kennesaw State University MariettaGA30060 United States Faculty Of Engineering And Information Systems University Of Technology Sydney UltimoNSW Australia

ISBN: (纸本)9781450396288

social bots are computer programs created for automating general human activities like the generation of messages. The rise of bots in social network platforms has led to malicious activities such as content pollution like spammers or malware dissemination of misinformation. Most of the researchers focused on detecting bot accounts in social media platforms to avoid the damages done to the opinions of users. In this work, n-gram based approach is proposed for a bot or human detection. The content-based features of character n-grams and word n-grams are used. The character and word n-grams are successfully proved in various authorship analysis tasks to improve accuracy. A huge number of n-grams is identified after applying different pre-processing techniques. The high dimensionality of features is reduced by using a feature selection technique of the Relevant Discrimination Criterion. The text is represented as vectors by using a reduced set of features. Different term weight measures are used in the experiment to compute the weight of n-grams features in the document vector representation. Two classification algorithms, support vector Machine, and Random Forest are used to train the model using document vectors. The proposed approach was applied to the dataset provided in PAN 2019 competition bot detection task. The Random Forest classifier obtained the best accuracy of 0.9456 for bot/human detection. © 2022 ACM.

关键词： Feature selection

来源：评论

学校读者我要写书评

暂无评论

IoT based Monitoring and Controlling of Environmental Parameter for Implementing Intelligent Irrigation system 3

IoT based Monitoring and Controlling of Environmental Parame...

引用

3rd International Conference on Electronics and sustainable Communication systems, ICEsC 2022

作者： Jayanthi, P. Prabhu, v. Dighe, Devidas D Ghuge, Nilesh C sharavanan, s. begum, R. sabin Kongu Engineering College Dept of Cse Perundurai India Bannari Amman Institute of Technology Biomedical Engineering Sathyamangalam India Matoshri College of Engineering and Research Centre Department of Electronics and Telecommunication Nashik India Matoshri College of Engineering and Research Centre Nashik India Department of Mechanical Engineering India B. S. Abdur Rahman Crescent Institute of Science and Technology Department of Computer Applications Chennai India

ISBN: (数字)9781665479714

ISBN: (纸本)9781665479714

The solar Powered Drip Irrigation Method was designed to reduce agricultural water consumption. The proposed module utilizes a microcontroller and several sensors such as soil moisture sensors put in root system belts, temperature sensors, and ultrasonic sensors positioned at the tank's roof. The water volume in the tank is maintained using the on and off operation of the pump. Then the moisture content and temperature are regulated by opening and closing of the solenoid valve. A Wi-Fi module is connected to the control unit that processes sensor data, initiates actuators, and broadcasts data over the internet, allowing the user to watch the farm in real-time from whatever distant area. The programmed code was designed depending on the soil moisture, humidity, and temperature values and is programmed into the central controller to regulate the amount of water delivered to the area for irrigation and the pump to fill the water in the tank. Renewable solar power the entire system. The sensing unit, actuating unit, and the central control unit are wired together, and the control unit communicates with the app through a wireless link. The primary goal of the research is to reduce the farmer's manual intervention, which saves money and resources. © 2022 IEEE.

关键词： solenoid valves

来源：评论

学校读者我要写书评

暂无评论

Predictive Wi-Fi Network selection: Enhancing User Experience through a Machine Learning-based Approach

Predictive Wi-Fi Network Selection: Enhancing User Experienc...

引用

Global Conference for Advancement in Technology (GCAT)

作者： v Akash s Manoj Howale Ajit J Gupta N Kayarvizhy Raj Kumar saranappa Department of Machine Learning B.M.S. College of Engineering Bangalore India Department of Computer Science B.M.S. College of Engineering Bangalore India Department of Electrical and Electronics B.M.S. College of Engineering Bangalore India SRIB/ SAMSUNG RESEARCH INSTITUTE INDIA Bangalore India

With the increasing use of Wi-Fi in our devices at home and in offices, etc. it’s imperative to connect to an AP which provides seamless and smooth performance. This research paper addresses the need for an efficient solution to predict and select the most suitable Access Point, thus enhancing the user’s quality of application usage. We have worked on a Machine Learning model which takes care of different parameters such as signal strength, bandwidth, distance, frequency, traffic parameters and previous connections with Access Point and predicts the best Access Point user should connect to. The methodology described in this paper has been developed based on the Google scoring algorithm, which we referred as a foundation for our approach. The integration of the Google scoring algorithm empowers our model to further optimize Access Point selection, ensuring an enhanced user experience while seamlessly switching between networks, thus solving the sticky band or sticky Client problem in Wi-Fi. The research which has been proposed by this paper could potentially revolutionize the way transitions are made between networks to make the process smooth and latency free.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Design, modeling and comparative analysis of sRAM performance and functionality under the subthreshold regime for various technologies

Design, modeling and comparative analysis of SRAM performanc...

引用

smart Technologies, Communication and Robotics (sTCR)

作者： T. vasudeva Reddy Ravikiranreddy Kandadi Raja suresh G. A. Arunkumar sivanagi Reddy Kalli srikar.D Department of ECE B V Raju Institute of Technology Narsapur Telangana Department of CSE-Data Science CVR College of Engineering Hyderabad India Dept. of ECE Sri Venkateswara College of Engineering Tirupati Andhra Pradesh India Aditya College of Engineering & Technology Andhra Pradesh Department of ECE Sridevi Women’s Engineering College Hyderabad Telangana India NIT Warangal Dept. of ECE B V Raju Institute of Technology Narsapur Telangana

ISBN: (数字)9798350357530

ISBN: (纸本)9798350357547

sRAM is widely recognized for its high storage density and fast access time, making it an essential component in vLsI chips. Its ease of use and minimal standby leakage contribute to its extensive application across various domains. In recent years, the increasing demand for secure and reliable user systems has further expanded its use beyond communication technologies to sectors such as transportation, industry, healthcare, and automotive systems. A CMOs-based sRAM cell is particularly advantageous due to its low power consumption and reduced read/write time. This article focuses on a 6T sRAM cell, known for its efficient use of power, space, and processing time during data operations. As a type of random-access memory, sRAM retains data for extended periods without requiring frequent circuit refreshes. This paper presents a performance analysis of a 6T sRAM cell implemented in 180nm, 90nm, and 45nm technology nodes, evaluating its write time (propagation delay) using the Cadence tool. The objective is to design a 6T sRAM structure that minimizes delay, as sRAM cells occupy a significant portion of a memory chip's area.

关键词： Power demand Transportation industry Medical services very large scale integration Writing sRAM cells Delays Transistors Transient analysis Automotive engineering

来源：评论

学校读者我要写书评

暂无评论

Advancing Oncology Outcomes: Deploying Advanced Machine Learning Models for Early Detection and Optimized Treatment

Advancing Oncology Outcomes: Deploying Advanced Machine Lear...

引用

Artificial Intelligence and Quantum Computation-based sensor Application (ICAIQsA), International Conference on

作者： Prashant Khobragade Praveen Kumar Dhankar Manish Motghare Ashish Golghate Nitin Rakesh Hemantkumar Turkar Computer Science and Engineering G H Raisoni College of Engineering Nagpur India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India Dept of Artificial Intelligence G H Raisoni College of Engineering and Management Nagpur India Dept of Computer Science and Engineering (Data Science) S. B. Jain Institute of Technology Management & Research Nagpur India Department of Data Science S.B.Jain Institute of Technology Management and Research Nagpur India

ISBN: (数字)9798331517953

ISBN: (纸本)9798331517960

The field of oncology is changing quickly as more advanced machine learning (ML) models are added to help find cancer earlier and improve treatment results. This paper looks at how machine learning could change oncology by focusing on how it can be used to find cancer early, predict how it will progress, and create personalized treatment plans. Early identification is very important for increasing the number of people who survive, but standard testing methods aren't always accurate or quick enough. Machine learning calculations can discover patterns and exceptions that conventional investigations might miss by utilizing enormous datasets from an assortment of sources, such as electronic wellbeing records, hereditary information, and imaging thinks about. We see at cutting-edge machine learning models, like deep learning neural systems, support vector machines, and gathering strategies, to see how well they work at finding diverse sorts of cancer prior. The paper discuss about some important examples of how these models have done much better than standard diagnostic tools, allowing for earlier treatments and better patient results. The study emphasize about how natural language processing (NLP) can be used to get useful information from unorganized clinical notes. This can help with diagnosis and give us a fuller picture of the patient's background and risk factors. The study also talks about how predictive models can be used to make treatment plans better. Machine learning models can help doctors adjust treatments to each patient's unique profile by looking at patient data and how they respond to treatment. This makes treatments more effective while reducing side effects.

关键词： Accuracy Machine learning Medical services Predictive models Oncology Data models Natural language processing vectors standards Cancer

来源：评论

学校读者我要写书评

暂无评论

binary Equilibrium Optimizer Algorithm

Journal of Network Intelligence

引用

Journal of Network Intelligence 2022年第1期7卷 45-58页

作者： Hu, Pei Chu, shu-Chuan snášel, václav Pan, Jeng-shyang College of Computer Science and Engineering Shandong University of Science and Technology No.579 Qianwan’gang Road Shandong Qingdao266590 China School of Computer and Software Nanyang Institute of Technology No.80 Changjiang Road Henan Nanyang473004 China College of Science and Engineering Flinders University Sturt Rd Bedford ParkSA5042 Australia Department of Computer Science VŠB—Technical University of Ostrava 17. listopadu 2172/15 Poruba Ostrava708 00 Czech Republic Department of Information Management Chaoyang University of Technology No.168 Jifeng E. Rd. Wufeng District Taichung413310 Taiwan

Equilibrium optimizer (EO) is a new proposed meta-heuristic algorithm by utilizing the mass balance model of the control volume. In order to solve the binary appli-cations, this paper proposes a binary version of equilibrium optimizer (bEO). bEO takes advantage of the structure of EO, only modifying the equations of equilibrium concentra-tion and position updating. Through the benchmark functions and Wilcoxon’s rank sum test, it compares bEO with binary bat algorithm, binary differential evolution, binary grey wolf optimizer, binary particle swarm optimization, and a binary hybrid algorithm of particle swarm optimization and gravitational search algorithm. bEO shows excep-tional performance in the solving quality, time complexity and convergence. simulation results prove that bEO acquires the least classification errors while having a small number of features in the KNN. © 2022, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Particle swarm optimization (PsO)

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：