检索结果-内蒙古大学图书馆

Machine Learning in Human resources Management for Higher Education Institutes 1

7th International Conference on Intelligent Computing and Optimization, ICO 2023

作者： Karthikeyan, M. Mariyappan, M.S.r. Sridevi, J. Kumar, S. Vishnu School of Management Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi600062 India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi600062 India

ISBN: (数字)9783031733185

ISBN: (纸本)9783031733178

This research article explores the intersection of Machine Learning (ML) and the Internet within the domain of Human resource Management (HrM) in Higher Education Institutes (HEIs). It investigates how these technologies can reshape Human resource (Hr) practices, specifically focusing of faculty retention. The ML model is designed to act upon the collected data to provide immediate support in aiding Hr professionals in predicting and managing employee retention. The research also highlights the importance of data collection using Internet, ensuring speeding and ethical data handling practices. The article encompasses a comprehensive review of existing literature, detailed methodology, practical implementation, and rigorous assessment of the proposed model, aiming to provide a holistic view of this transformative landscape in HrM. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Systematic analysis of an unreliable batch service retrial queueing system with two sort of vacation

引用

International Journal of Applied Systemic Studies 2023年第3期10卷 243-264页

作者： Niranjan, S.P. Indhira, K. Chandrasekaran, V.M. Department of Mathematics Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Mathematics School of Advanced Sciences VIT Vellore India

This paper concentrates on bulk arrival and batch service retrial queueing system with server failure, two types of vacation and constant retrial rate. If an arrival of customers finds a server is free then batch service will be provided with minimum of one customers and maximum of ‘b’ customers. On the contrary, if the arrival of customers finds the server is busy then entire customers will join in the orbit to explore service again. After service completion, if there are no customers in the orbit then the server leaves for working vacation. during working vacation, the server provides service in lower service rate compared to regular service rate. In the working vacation completion, if the orbit size is zero then the server leaves for non-working vacation. The server may get failure in working period. If the server got failure with probability (φ) then the renewal of service station will be considered. On the other hand, if there is no breakdown and orbit is empty then the server leaves for working vacation with probability (1 – φ). For this designed queueing model probability generating function of the orbit size will be obtained. Various performance measures are also be derived with suitable numerical illustrations. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Smart Helmet with Crash detection 3rd

Smart Helmet with Crash Detection

引用

3rd International Conference on Computing and Communication Networks, ICCCN 2023

作者： Antony Kumar, K. ravikumar, S. Lydia, Angeline Yadav, rohit Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India

ISBN: (纸本)9789819708918

riding a motorcycle is an exhilarating experience, but it comes with its risks. In 2019, the National Highway Traffic. Safety Administration reported that motorcycle riders were 28 times more likely to die in a crash than passenger car occupants. A smart helmet is a wearable that can be used to enhance the safety of motorcycle riders. It includes features such as crash detection and wear detection, which can prevent the bike from starting unless the rider is wearing a helmet. It is also equipped with accelerometers, gyroscopes which help to detect crashes, and also connected with a GSM module chip which sends a message to important contacts and nearby hospital in case of emergency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Global system for mobile communications

来源：评论

学校读者我要写书评

暂无评论

Mobile robot Using Unbalanced road Adaption device

引用

Journal of Institute of Control, robotics and Systems 2024年第1期30卷 20-26页

作者： Lim, Ji-Ho Lee, Sang-Yeob Shin, dongwon Department of Mechanical System Engineering Kumoh National Institute of Technology Korea Republic of AI Robotics R&D Division Korea Institute of Robotics & Technology Convergence Korea Republic of

This study investigated a mobile robot capable of navigating unbalanced road surfaces solely via its mechanical structure, utilizing an unbalanced road adaptation device. This adaptation device was designed by introducing a height adaptor to the existing suspension mechanism, with each component consisting of links and shock absorbers. With these components, the robot excelled in adapting to unbalanced road surfaces. To validate the performance of the designed robot, a degree-of-freedom analysis was conducted, and the robot’s driving stability was evaluated through driving simulations. © ICrOS 2024.

关键词： Mobile robots

来源：评论

学校读者我要写书评

暂无评论

design and development of Human Identification and Obstacle detection System for Blind Using Machine Learning 2nd

Design and Development of Human Identification and Obstacle ...

引用

2nd International Conference on deep sciences for Computing and Communications, IcondeepCom 2023

作者： Pandithurai, O. dhiyaneswaran, P. raj, S. B. Gokul Sriman, B. Department of Computer Science and Engineering Rajalakshmi Institute of Technology Chennai India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9783031689048

According to the World Health Organization (WHO) estimates that the millions of people worldwide suffer from visual impairment, whether partial or complete, which makes it challenging for them to detect obstacles and identify people around them. However, recent advancements in information technology and spatial cognition theory have created an opportunity for researchers and developers to explore innovative solutions that can empower visually impaired individuals, enhance inclusivity, and improve accessibility. To this end, a novel framework has been proposed that utilizes artificial vision, specifically an intelligent system based on a convolutional neural network (CNN) algorithm. This system automatically recognizes human and scene objects or obstacles in real-time, even in difficult situation with large moving object. The system provides the user with a complete information, including the position of located targets, and alerts the user via a voice message about obstaclesor known or unknown individuals. The proposed work aims to create a user-friendly technology that fulfills the essential needs of physically disabled individuals, providing them with an easy-to-use interface, convenience, portability, and cost-effectiveness. Ultimately, this approach enables blind users to navigate and manage indoor and outdoor locations that they may not have been aware of otherwise, enhancing their autonomy and quality of life. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Fabrication of Linear Polarization-Separating Silicon Metalens at Long-Wavelength Infrared 1

引用

15th International Conference on Sensing technology, ICST 2022

作者： Ishizuka, Noe Li, Jie Fuji, Wataru Ikezawa, Satoshi Iwami, Kentaro Department of Mechanical Systems Engineering Tokyo University of Agriculture and Technology Fuchu Japan Opto-Science R&D Department R&D Technology Center Tamron Co. Ltd. Saitama Japan

ISBN: (数字)9783031298714

ISBN: (纸本)9783031298707

A polarization-separating metalens at the long-wavelength infrared was designed, developed, and demonstrated. The silicon quadrangular pillars are adopted as meta-atoms to achieve full 2π phase coverage at the design wavelength of 10.6 μm for both of two orthogonal linear polarizations with high transmittance. Their dimensions were determined by electromagnetic field analysis based on a finite element method, and transmittances of more than 70% were obtained in all meta-atoms. The metalens was fabricated through electron beam lithography and reactive ion etching, and SEM observation showed that the fabrication was done while maintaining good verticality. An imaging test was performed using a commercially available micro-bolometer, and it was confirmed that the light was focused at different positions for each linear polarization. In the case of 45°-polarized illumination, it was confirmed that the light was focused at both locations. The fabricated metalens successfully showed the ability of linear polarization separation of a thermal image. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Silicon

来源：评论

学校读者我要写书评

暂无评论

An Intelligent Emotion recognition System based on Speech Terminologies using Artificial Intelligence Assisted Learning Scheme 9

An Intelligent Emotion Recognition System based on Speech Te...

引用

9th International Conference on science, technology, Engineering and Mathematics, ICONSTEM 2024

作者： Kapileswar, N. Simon, Judy devi, K. Kavitha Polasi, Phani Kumar Vinod, dasari Naga Harish, Chappagadda Srm Institute of Science And Technology Department of Ece Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science And Technology Department of Ece Chennai Avadi India

ISBN: (纸本)9798350365092

From HCI to mental health monitoring, emotion identification from voice signals is an important and vital task. We provide a novel method for reliable emotion identification from audio data called Artificial Intelligence Assisted Learning Scheme (AIALS). AIALS combines the architectures of Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN). The CrEMA-d dataset, which stands for Crowd-sourced Emotional Multimodal Actors dataset, is used in our work to train and assess the suggested system. The dataset is rich in authentic emotional speech examples. Feature extraction and emotion classification are the two primary components of the AIALS framework that has been suggested. during the feature extraction stage, pertinent acoustic information is retrieved from raw speech signals by computing Mel-frequency Cepstral coefficients (MFCCs). Subsequently, spectrograms are generated to extract spatial features using the CNN architecture. In the emotion classification stage, the extracted features are fed into the hybrid LSTM-CNN model, which effectively learns temporal dependencies and spatial patterns from the input data. Our experimental results demonstrate the effectiveness of the proposed AIALS framework in accurately recognizing emotions from speech signals. By leveraging the complementary strengths of LSTM and CNN architectures, our model achieves an impressive accuracy of 98% on the CrEMA-d dataset, outperforming existing state-of-the-art approaches. Furthermore, the proposed system exhibits robustness across different emotional categories, showcasing its generalization capability. © 2024 IEEE.

关键词： Long short-term memory

来源：评论

学校读者我要写书评

暂无评论

research on welding deformation control technology of battery electric vehicle framed aluminum body

引用

Progress in Natural science:Materials International 2024年第1期34卷 108-121页

作者： Bo Liu Jian Yang Jia Li Xiaolin Liao Qin Yang Jinsheng Zhang Tiegang Hu Shuxun Jiang School of Mechanical Engineering University of Science and Technology Beijing Chongqing Industry Polytechnic College Global R&D Center Chongqing Changan Automobile Co. Ltd Farizon New Energy Commercial Vehicle Group

The welding process of aluminum(Al) alloy car body has problems such as poor weld quality, low welding co-efficient, and large welding deformation. This paper mainly focuses on material accuracy design, lap structure design, simulation, and process manufacturing to break through the precision control problems caused by welding deformation of battery electric vehicle Al alloy car body. First, the 209 key functional dimensional chains of Al body-in-white are analyzed and decomposed to component and profile tolerance dimensions step by ***, the differences of vertical butt, bevel butt, and plug structures are studied and joint matching is implemented in a targeted manner. Subsequently, through welding deformation simulation analysis and welding sequence optimization, the body-in-white welding process and tooling fixtures are guided and designed to ensure that the dimensional accuracy of the Al body is controlled to ±2 mm in all aspects. Finally, the design of the whole vehicle arrangement of mechanical, human-machine, and major components is carried out, and an all-Al framed battery electric vehicle lightweight platform with different sizes and ranges is innovatively created. The difficulties such as the contradiction between power battery size and arrangement space, unreasonable arrangement position, and load distribution are solved.

关键词： Aluminum alloy Frame structure Welding deformation simulation dimensional accuracy control Battery electric vehicle lightweight platform

来源：评论

学校读者我要写书评

暂无评论

Speed directive for Connected Autonomous Vehicles(CAV) on freeways 7

Speed directive for Connected Autonomous Vehicles(CAV) on fr...

引用

7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Vaishnavi, T. deva Shahila, d Ferlin Nalini, N. rosi, A. Ashwini, A. Priya, M. Sangeetha Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of ECE Chennai India Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350372816

Connected Autonomous Vehicles (CAV) is happening due to sensors incorporation in all road conditions and make driving judgements, and these sensors must be reliable for the vehicles to be safe. Accelerated devices hold the main segment among entire hindrance recognition devices. Generally, estimated to be built on vehicles more often. To identify obstacles, these sensors analyze ultrasonic emission and reflection data. Using the intrinsic weaknesses in sensors, we developed adaptive attacks using jamming, random spoofing, and spoofing on ultrasonic sensors. By doing this, we were able to a car into stopping when it shouldn't have and let it keep going. It substantiates our assaults using independent devices and mobile automobiles, like a Tesla Model that has Autopilot. Here, results show that occurrences induce blindness and malfunctions in both autonomous vehicles and sensors, which could lead towards crashes. The proposed deuce resistance strategies nearly improve the safety of accelerated devices and CAV with two methods of verifying signals. The suggested verified signals are sensor leveling physical shift authentication and multiple sensor consistency check, which uses multiple sensors to verify signals at the system level. © 2024 IEEE.

关键词： Ultrasonic sensors

来源：评论

学校读者我要写书评

暂无评论

Enabling Mental Wellness Through Interactive Platforms 9

Enabling Mental Wellness Through Interactive Platforms

引用

9th International Conference on Communication and Electronics Systems, ICCES 2024

作者： Umanandhini, d. Karthika, S. Chakradhar, Vankadari Teja, Mopidevi Sumanth Teja, Mallela Saisurya Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science & Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350377972

Millions of people across the world suffer from various mental health disorders, although they do not receive timely support. Stigma and constricted resources act as barriers to healing despite people universally struggling with anxiety, depression, and other such conditions. In contrast to this view, this challenge affects individuals, their families, their communities, and the entire world at large. We should imagine a world in which access to mental health support is a human right where every person able to get care when they need it. Our objective is to improve the mental health of service users through an AI-powered chatbot that can autopilot emergency patients and pre-assesses patient conditions. The innovation makes all clinicians free from workload pressures, allows them to engage in very specialized clinical tasks. The chatbot operates tirelessly and responds instantaneously, hence reducing pressures through traditional referral systems. We reviewed various mental health apps across them, common therapeutic approaches: tracking (39 apps), meditation (37 apps), relaxation techniques (82 apps), CBT (26 apps) and information (21 apps). These apps generally provide good usability, rich features, personalization, and affordability. However users want improvements in usability, credibility, security, and a diversity of features and personalization settings. Also consumers look out for information and features on social support and emergency support. Control over the app functions is also important, allowing users to personalize the settings to individual needs to maximize satisfaction. We adopt evidence-based psychotherapeutic practices emphasizing cognitive behavioral therapy. In trying to make uniformity and reliability, we adopt practices according to guidelines, IAPT manual and NICE recommendations. Our chatbot obtains routine outcome measures, that data drives our methods. © 2024 IEEE.

关键词： Electronic health record

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：