检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,926 篇 会议
19 篇 期刊文献
14 册 图书

馆藏范围

2,959 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,965 篇 工学
- 1,323 篇 计算机科学与技术...
- 948 篇 软件工程
- 818 篇 信息与通信工程
- 551 篇 电气工程
- 287 篇 控制科学与工程
- 262 篇 电子科学与技术（可...
- 190 篇 仪器科学与技术
- 172 篇 生物医学工程（可授...
- 160 篇 机械工程
- 160 篇 生物工程
- 110 篇 网络空间安全
- 96 篇 光学工程
- 91 篇 动力工程及工程热...
- 77 篇 材料科学与工程（可...
- 76 篇 化学工程与技术
- 70 篇 石油与天然气工程
- 58 篇 交通运输工程
- 51 篇 安全科学与工程
864 篇 理学
- 459 篇 数学
- 264 篇 物理学
- 184 篇 生物学
- 140 篇 化学
- 138 篇 统计学（可授理学、...
- 66 篇 系统科学
398 篇 管理学
- 236 篇 管理科学与工程(可...
- 197 篇 图书情报与档案管...
- 81 篇 工商管理
223 篇 医学
- 198 篇 临床医学
- 115 篇 基础医学(可授医学...
- 81 篇 药学(可授医学、理...
38 篇 法学
30 篇 经济学
23 篇 农学
18 篇 教育学
14 篇 军事学
3 篇 文学

主题

223 篇 signal processin...
117 篇 signal processin...
101 篇 data mining
76 篇 feature extracti...
68 篇 big data
67 篇 digital signal p...
57 篇 data acquisition
54 篇 signal to noise ...
50 篇 machine learning
48 篇 deep learning
46 篇 data models
40 篇 support vector m...
34 篇 training
32 篇 electroencephalo...
31 篇 data processing
31 篇 real-time system...
30 篇 array signal pro...
28 篇 image processing
28 篇 accuracy
26 篇 neural networks

机构

49 篇 maharishi school...
37 篇 centre of interd...
16 篇 department of ar...
15 篇 vishwakarma inst...
12 篇 department of el...
12 篇 department of co...
11 篇 department of sc...
11 篇 vivekananda glob...
9 篇 department of co...
8 篇 department of el...
8 篇 chitkara univers...
8 篇 prince shri venk...
8 篇 prince shri venk...
8 篇 key laboratory o...
8 篇 vivekananda glob...
8 篇 department of el...
7 篇 school of comput...
7 篇 key laboratory o...
7 篇 american interna...
7 篇 insight sfi rese...

作者

7 篇 md. rifat hazari
7 篇 hamdulla askar
7 篇 chakravarthi bha...
6 篇 kumaresan prasan...
6 篇 ablimit mijit
6 篇 ahmad tohari
6 篇 gao yanxia
6 篇 liu yiwen
5 篇 abir ahmed
5 篇 vikrant bhateja
5 篇 suresh chandra s...
5 篇 wang wei
5 篇 bekkay hajji
5 篇 chang chin-chen
5 篇 ramakrishnan ram...
5 篇 md. saniat rahma...
5 篇 zhang ying
4 篇 li li
4 篇 priyadharshini r...
4 篇 liu xin

语言

2,220 篇 英文
732 篇 其他
22 篇 中文
1 篇 俄文

检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2959 条记录，以下是971-980 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Design and Simulation of Intelligent Matching Algorithm for Online Primary School Mathematics Curriculum Based on Deep Learning 1

引用

3rd EAI international conference on Application of Big data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2023

作者： Mo, Yi Tang, Jishen Chang, Xunyun Wu, Dong Hechi University Guangxi Yizhou546300 China Foreign Languages Department Sichuan Vocational and Technical College Sichuan Suining629000 China

ISBN: (数字)9783031631399

ISBN: (纸本)9783031631382

With the continuous development of new information technologies such as big data, cloud computing, and Internet of Things, people's access to knowledge and information has undergone profound changes. New concepts such as machine learning, wisdom education, and educational big data are changing the traditional educational ecology, teaching form, and learning methods, and at the same time, promoting the deep development of educational modernization to informationization. People's needs in the fields of artificial intelligence such as information retrieval, automatic question and answer, dialogue system, etc. begin to appear, and intelligent matching algorithms are needed to meet the high demand of users. Text matching algorithm is the core problem in natural language processing technology. In the traditional text matching field, the dimension disaster of text representation and data sparseness have affected the development of natural language processing field. It is necessary for the times and students’ development to carry out subject teaching under the guidance of deep learning, which is of great significance. Unit review class is an important class type of primary school mathematics, which is of great value to students’ development, but there are many problems in actual teaching. This paper presents a multi-view collaborative teaching network based on sparse interactive data. The matching network is mainly composed of two parts, a text-based matching model and a relationship-based matching model. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Smart Industrial Scanner for Implementation of Relevant data Parsing from Prescriptions Using SSWF Algorithm 3rd

Smart Industrial Scanner for Implementation of Relevant Data...

引用

3rd international conference on Mobile Radio Communications and 5G Networks, MRCN 2022

作者： Jose, Jephin V. Sherin Eliyas, M. Kumar, Sathish Benitta, Angeline Hindustan Institute of Technology and Science Chennai India

ISBN: (纸本)9789811979811

Scanners have a wide range of functions. When it comes to an embedded system that converts scanned documents into meaningful data, there is seemingly a void in the industry. data that can be mined from prescriptions are invaluable and any approach to make meaningful sense of such data is always a beneficial. Such approaches not only push the bounds of how much creative programming can achieve, but also how much it means to the people who can benefit from such innovations. We implement one such innovative approach to convert medicine data within a prescription to make meaningful sense of the data that resides within the prescriptions. We propose a device for converting a medical prescription into a standardized format. To achieve this, we implemented a HP Ink Tank 410 scanner connected to a Raspberry Pi 4 running Ubuntu, we propose a revised algorithm for detecting and parsing related medicinal information from a prescription. This algorithm guarantees a reduction in processing time and improve improves performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： data handling

来源：评论

学校读者我要写书评

暂无评论

Ground extraction and road obstacle segmentation method based on point cloud data 3

Ground extraction and road obstacle segmentation method base...

引用

3rd international conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2022

作者： Li, XiaoWei Yang, HuiCheng Feng, HaiHong Xu, ShuQi School of Electrical Engineering Anhui Polytechnic University Wuhu China Wuhu Angong Cognitive Technology Co LTD China

ISBN: (纸本)9781510661301

With the rise of artificial intelligence and other technologies, unmanned driving has become an important direction of future automobile development. The ground extraction of roads is a key task. The traditional method of ground extraction is limited to flat roads and the speed is slow. In view of the under-segmentation problem between the ground point cloud and the multi-objective object point cloud, we propose a ground segmentation algorithm for point cloud data based on multi-region segmentation. In this paper, the ground data can be accurately found by using the method of concentric region division for point cloud data. At the same time, it also has good robustness for uneven road surface, so as to provide a good foundation for the subsequent segmentation of road obstacles. For the extraction of road obstacles, we adopt the DBSCAN clustering method based on sub-region. According to the characteristics of near-density and distant point cloud, we adopt adaptive parameter selection for different regions to improve the accuracy of obstacle extraction. In order to verify the results, the use of KITTI data set on ubuntu18.04 using ROS system to complete the test, can maintain about 28fps processing speed. © 2023 SPIE.

关键词： Extraction

来源：评论

学校读者我要写书评

暂无评论

Investigation on BPSK Modulated LoRaWAN for data Rate Enhancement

Investigation on BPSK Modulated LoRaWAN for Data Rate Enhanc...

引用

international conference on Applied Electromagnetics, signal processing and Communication (AESPC)

作者： Divyasree K Manoj G Mansi A Sindhukavi S Parameswaran Ramesh Bino J Shabana Parveen M Bhuvaneswari P.T. V Department of Electronics Engineering Madras Institute of Technology Anna University Chennai India Department of Electronics and Communication Engineering St Josephs's Institute of Technology Anna University Chennai India Department of Electronics and Communication Engineering Sri Sairam Engineering College Anna University Chennai India

The Internet of Things (IoT) is an upcoming and promising technology that involves efficient transmission techniques to communicate data obtained from sensory devices in the developed application. The role played by the channel characteristics between these devices is significant, as quality of service metrics are vital factors in determining the performance of the application. To support long-distance communication, LoRaWAN technology is being used in most of the IoT-enabled automation systems. It provides a wider coverage area and encodes the information using Chirp Spread Spectrum (CSS). A low data transmission rate is found to be its major limitation. This research investigates the bit error rate (BER) behaviour of LoRa when the sensed data are modulated with BPSK under different signal-to-noise ratio (SNR). The impact of the spreading factor on data rate is also analyzed. From the MATLAB simulation results, it is found that an increase in the spreading factor reduces the data rate and vice versa. Hence, to obtain a better data rate, a lesser spreading factor is suggested.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Monitoring Human Muscle signal Using Electromyography Sensor Based on Internet of Things 3

Monitoring Human Muscle Signal Using Electromyography Sensor...

引用

3rd IEEE international Biomedical Instrumentation and Technology conference, IBITeC 2023

作者： Hanapi, Roby Hikmah, Irmayatul Hidayat, Anjar Taufik Institut Teknologi Telkom Purwokerto Faculty of Telecommunication and Electrical Engineering Telecommunication Engineering Purwokerto Indonesia Institut Teknologi Telkom Purwokerto Faculty of Telecommunication and Electrical Engineering Biomedical Engineering Purwokerto Indonesia

ISBN: (纸本)9798350302424

Muscles serve as a system measure of motion, relaxation, and contraction. The electrical signals generated by muscles during contraction are measured using electrodes connected to electromyography sensors. Electrodes are placed on the surface of the skin to detect electrical signals, which are then used to store condition data based on their placement. Electromyography devices still do not have direct integration through websites or apps, nor are they capable of storing digital patient records. Instead, data collection is done manually or on-site. However, with the Internet of Things-based muscle signal detection device, this process becomes easier for medical personnel. Medical personnel can check the patient's medical record results through a laptop and save the digital record data. The advantage is that the monitoring process can be done online, so that medical personnel can easily see the patient's progress from day to day through the available digital data records. The electromyography sensor output is processed by the NodeMCU ESP8266 microcontroller and displayed through the blynk platform integrated with the internet. Electromyograph testing was conducted on the gastrocnemius muscle and 5 different subjects. The test results show that the value of muscle tension is greater when the load treatment has been carried out, both in the biceps muscle and in the gastrocnemius muscle with a large average value in the biceps muscle when the muscle extension condition is 9.746 Volt and 17.296 Volt when the muscle flexion condition. And in the gastrocnemius muscle it is 10.685 Volt when the muscle is in extension and 18.028 Volt when the muscle is in flexion. The value of the voltage is influenced by several factors, one of which is muscle strength and body weight. © 2023 IEEE.

关键词： Electrodes

来源：评论

学校读者我要写书评

暂无评论

AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-19 & its Severity

AI-Enabled Analysis of 3-D CT Scans for Diagnosis of COVID-1...

引用

Acoustics, Speech, and signal processing Workshops (ICASSPW), IEEE international conference on

作者： Dimitrios Kollias Anastasios Arsenos Stefanos Kollias Queen Mary University of London UK National Technical University of Athens Greece

This paper describes the 3rd COVID-19 Competition, taking place in the AI-enabled medical image analysis (AIMIA) Workshop of the 2023 IEEE international conference on Acoustics, Speech and signal processing (ICASSP 2023). The 3rd COVID-19 Competition is a continuation of the Competitions held at ECCV 2022 and ICCV 2021 conferences, and aims to tackle the challenges of whole slide image and CT/MRI/X-ray analysis/processing and to identify research opportunities in the context of Digital Pathology and Radiology/COVID19. The 3rd COVID-19 Competition consists of two Challenges targeting COVID19 detection and COVID19 severity detection. Both Challenges are based on an extended version of the database used in the 1st and 2nd COV19D Competitions, the COV19-CT-DB database, which includes chest CT scan series. A large part of the COV19-CT-DB database is annotated for COVID-19 detection and consists of 8,0003-D CT scans. About 1,0003-D CT scans of the database are also annotated with respect to four COVID-19 severity conditions. Both parts have been split in training, validation and test datasets. These are used for training and validation of machine learning models, as well as for evaluation. The paper further describes the baseline methods for the 3rd COVID-19 Competition, which are deep learning approaches, based on CNN-RNN networks. Their performance on detecting the existence and the severity of COVID-19 is reported.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Evaluating data Migrations with Respect to Interoperability in Hybrid Cloud 3rd

Evaluating Data Migrations with Respect to Interoperability ...

引用

3rd international conference on Machine Learning, Image processing, Network Security and data Sciences, MIND 2021

作者： Barhate, S.M. Dhore, M.P. DECS RTM Nagpur University Nagpur Maharashtra Nagpur440033 India SSESA’S College RTM Nagpur University Nagpur Maharashtra Nagpur440035 India

ISBN: (纸本)9789811958670

Cloud computing is the most popular environment in industry which is gaining popularity due to its enormous powerhouse facilities like scalability, virtualization, ubiquitous computing, on demand access to pool of resources on a pay per basis. It provides a broad access to shared resources which are rapidly provisioned with minimal management efforts. Hybrid cloud is the most chosen cloud model in the recent years with its powerful combination of private and public clouds. While working with hybrid cloud model, the data has to be migrated between the private and public clouds as and when needed. This paper studies the performance of hybrid cloud, while the data is migrated between the clouds. This paper deals with consolidation and data distribution technologies implemented for effective data migration technologies in hybrid cloud. CloudSim simulator has been used to study the performance issues of different data migration techniques while implementing interoperability. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Research on Traveling Wave Detection Performance Based on Optical Voltage Transformer 3

Research on Traveling Wave Detection Performance Based on Op...

引用

2022 3rd international conference on Electrical Technology and Automatic Control, ICETAC 2022

作者： Zhang, Ying Zeng, Jiachen Jiang, Zhuang Yu, Kun School of Electrical and Information Engineering Changsha University of Science and Technology Changsha China

Traditional transformers cannot effectively transmit high-frequency traveling wave signals, which leads to the fact that traditional voltage transformers cannot fully reflect the panoramic information of fault traveling waves and ensure fault location accuracy. This paper mainly analyzes the working principle of optical voltage transformers. The Jones matrix models the optical path system and its optical components, and the output model of the optical path system is obtained. The principle of photoelectric signal conversion is analyzed. The test principle, experimental method, and data results are studied and analyzed by power frequency, withstand voltage, lightning impulse, and arc tests. The transmission effect of fault traveling wave signal is verified, which provides the theoretical and experimental basis for the fault location of the distribution network. © Published under licence by IOP Publishing Ltd.

关键词： signal detection

来源：评论

学校读者我要写书评

暂无评论

A NOVEL PARAMETER ESTIMATION METHOD FOR LOGNORMAL AND BIRNBAUM-SAUNDERS DISTRIBUTIONS ON HEAVILY CENSORED data 13

A NOVEL PARAMETER ESTIMATION METHOD FOR LOGNORMAL AND BIRNBA...

引用

13th international conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2023

作者： Jiang, Renyan Li, Fengping Xue, Wei Li, Xiaogang Zhang, Kunpeng Institute of Laser and Optoelectronic Intelligent Manufacturing Wenzhou University Wenzhou China China International Science and Technology Cooperation Base for Laser Processing Robotics Wenzhou University Wenzhou China Co. Ltd. Ocean Science and Technology Innovation Park No. 19 Binhai 3rd Road Wenzhou China

ISBN: (纸本)9781839539848

Lifetime data collected from field are often heavily censored. For such data, it has been concluded that total-time-on-test-based mean life estimator considerably overestimates mean time to failure (MTTF) and the maximum likelihood estimates (MLEs) of distribution parameters are not stable. Several novel methods with satisfactory accuracy have been proposed to estimate the MTTF and distribution parameters on heavily censored data. One of these methods is based on the conjecture: fitting a heavily-censored dataset to a single-parameter nearly-symmetric distribution can yield a fairly accurate MLE of MTTF. In this paper, we extend this conjecture to the case of 2-parameter symmetric distribution. The normal and logistic distributions, whose density functions are symmetric, are considered, and 24 heavily censored datasets are randomly generated from these two distributions with different parameter combinations. For these datasets, it is shown that the average of relative errors of MLEs of MTTF is 9.64%. Thus, the conjecture is validated. Based on the conjecture, a novel parameter estimation method for the lognormal and Birnbaum-Saunders distributions on heavily censored data is proposed and illustrated by a real-world example. © The Institution of Engineering & Technology 2023.

关键词： Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

Detection of Four Class Motor Imagery from EEG signal for Brain-Computer Interface Applications 3

Detection of Four Class Motor Imagery from EEG Signal for Br...

引用

3rd international conference on Applied Mathematics, Modeling and Computer Simulation, AMMCS 2023

作者： Nambiar, Amrutha Rajagopal, Sivakumar Subramaniam, Shamala Department of Sensor and Biomedical Technology School of Electronics Engineering Vellore Institute of Technology Tamilnadu Vellore632014 India Department of Communication Technology and Networks Universiti Putra Malaysia Selangor 43400 Malaysia

ISBN: (纸本)9781643684581

Brain-Computer Interface (BCI) is an interfacing technology used between humans and machines. Initially, research on BCI was confined only to medical applications such as the detection and quantification of brain states like alertness, emotion, and attention. However, in the recent past, it has been extended to incorporate engineering and industrial applications as well. Electroencephalogram (EEG) based Brain-Computer Interfaces became an energized research area within the field of neural engineering, rehabilitation, and neuroscience. EEG-based BCIs especially those using motor-imagery (MI) data became very useful within the clinical field and entertainment industry as well. MI data is created when someone imagines the motion of his/her limb. Motor-imagery BCI is a sub-category of BCI that has the technique to control an external device through imagined motor movements. This essentially means that an external device will relocate itself to the left or right based on the corresponding movement that the user imagines. This has been considered a brand new method of communication not just for people who have lost motor control or speech abilities but also for healthy users as well. Various signal processing techniques are done on the MI-based EEG datasets, focusing mainly on artefact rejection, feature extraction and selection of significant features to enhance the functionality of the proposed BCI. In this paper, the work is confined to assisting people to control the motion of external devices. By implementing an MI-based BCI, people who have lost motor control functionalities will be put at ease. They will be able to control the motion of external devices by simply imagining motor movements. © 2023 The Authors.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共296页 << < 94 95 96 97 98 99 100 101 102 103 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：