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

1,196 篇 会议
991 篇 期刊文献
4 册 图书

馆藏范围

2,191 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,244 篇 工学
- 486 篇 计算机科学与技术...
- 380 篇 软件工程
- 286 篇 电气工程
- 261 篇 电子科学与技术（可...
- 222 篇 信息与通信工程
- 187 篇 生物医学工程（可授...
- 166 篇 光学工程
- 158 篇 材料科学与工程（可...
- 158 篇 生物工程
- 156 篇 控制科学与工程
- 143 篇 化学工程与技术
- 119 篇 动力工程及工程热...
- 91 篇 仪器科学与技术
- 78 篇 机械工程
- 65 篇 土木工程
- 56 篇 力学（可授工学、理...
967 篇 理学
- 471 篇 物理学
- 289 篇 数学
- 208 篇 生物学
- 175 篇 化学
- 127 篇 统计学（可授理学、...
- 63 篇 系统科学
224 篇 管理学
- 152 篇 管理科学与工程(可...
- 88 篇 工商管理
- 71 篇 图书情报与档案管...
185 篇 医学
- 151 篇 临床医学
- 120 篇 基础医学(可授医学...
- 63 篇 药学(可授医学、理...
76 篇 教育学
- 67 篇 教育学
42 篇 经济学
37 篇 法学
33 篇 农学
6 篇 文学
4 篇 军事学
2 篇 艺术学

主题

31 篇 accuracy
24 篇 optimization
24 篇 feature extracti...
23 篇 machine learning
22 篇 engineering educ...
21 篇 deep learning
21 篇 image segmentati...
21 篇 educational inst...
20 篇 computational mo...
20 篇 testing
20 篇 training
19 篇 students
18 篇 wireless communi...
18 篇 relativistic hea...
18 篇 fault detection
17 篇 protocols
17 篇 data models
16 篇 conferences
16 篇 relays
16 篇 three-dimensiona...

机构

42 篇 faculty of elect...
42 篇 università degli...
40 篇 university of sc...
40 篇 indian institute...
40 篇 università di br...
40 篇 department of ph...
40 篇 physics departme...
39 篇 subatech imt atl...
39 篇 université clerm...
39 篇 laboratoire de p...
39 篇 institut für ker...
38 篇 nuclear physics ...
38 篇 china institute ...
38 篇 university of li...
38 篇 institute of spa...
38 篇 instituto de fís...
38 篇 warsaw universit...
38 篇 indian institute...
38 篇 niels bohr insti...
38 篇 national institu...

作者

35 篇 d. röhrich
35 篇 k. oyama
35 篇 o. karavichev
35 篇 d. peresunko
35 篇 r. xu
35 篇 m. s. islam
35 篇 p. kurashvili
35 篇 s. grigoryan
35 篇 r. bailhache
35 篇 t. b. skaali
35 篇 i. pshenichnov
35 篇 z. vilakazi
35 篇 m. b. blidaru
35 篇 m. bombara
35 篇 b. ulukutlu
35 篇 f. flor
35 篇 k. shigaki
35 篇 t. janson
35 篇 m. r. cosentino
35 篇 m. mager

语言

2,095 篇 英文
64 篇 其他
20 篇 中文
11 篇 日文
1 篇 阿拉伯文
1 篇 朝鲜文

检索条件"机构=PhD Program of Electrical Engineering School of Electrical Engineering"

共 2191 条记录，以下是11-20 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：

Analysis on Performance of Semi-Real-Time Transcription on Health App 18

Analysis on Performance of Semi-Real-Time Transcription on H...

引用

18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Indrasary, Yoenie Nugraha, Daniel Prihatmanto, Ary Setijadi Sarief, Ivany Gunawan, Rudy Yunautama, Dhema School of Electrical Engineering and Informatics Institut Teknologi Bandung Doctoral Program of Electrical Engineering and Informatics Bandung Indonesia State Polytechnic of Banjarmasin Banjarmasin Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Universitas Sangga Buana Faculty of Engineering Dept. of Electrical Engineering Bandung Indonesia Universitas Sangga Buana Directorate of Vocational Dept. of Informatics Engineering Bandung Indonesia

ISBN: (纸本)9798331527686

The fragmentation of health information systems has hindered seamless data exchange in healthcare services, posing challenges in achieving efficient, real-time access to patient health data. This study addresses these issues by evaluating the implementation of a semi-real-time transcription system using a distributed architecture with a message broker to enhance the documentation of clinical examination processes in primary health services. The research focuses on assessing the feasibility of this approach by measuring key performance indicators such as latency and word error rate (WER) during clinical conversation transcription. Audio recordings were segmented into shorter fragments to simulate real-time transcription, and data transmission was conducted through the Advanced Message Queuing Protocol (AMQP). The findings demonstrate that the average latencys achieved by semi-real-time transcription system is 7.7s, indicating its potential suitability for clinical documentation applications that do not require strict real-time processing. However, glitches observed in the message broker's forwarding mechanism suggest the need for further optimization to ensure consistent performance. Future work aims to develop strategies to minimize transcription errors, enhance reliability, and improve the overall integration of this system in healthcare settings. This study contributes to the advancement of health information systems by offering architecture into scalable and effective methods for semi-real-time data transcription and interoperability. © 2024 IEEE.

关键词： Audio recordings

来源：评论

学校读者我要写书评

暂无评论

Robot and Human Interaction using Natural Language Understanding in Indonesian based on Mental Image Based Understanding 11

Robot and Human Interaction using Natural Language Understan...

引用

11th International Conference on Information and Communication Technology, ICoICT 2023

作者： Abrari, Muhammad Giriarda Hindersah, Hilwadi Rusmin, Pranoto Hidaya Bandung Institute of Technology Master Program in Electrical Engineering Bandung Indonesia Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9798350321982

Robots, in order to understand human commands, could be possible if there is an interaction between them. Possible interaction including the Natural Language, that humans have used to communicate with each other. The method used in this research for robots to understand Natural Language is Mental Image Directed Semantic Theory (MIDST) which uses unique Lmd formula as a basis for computing the Natural Language Understanding (NLU) processes. Equipped with support modules such as Speech to Text, Text to Speech, and Synonym Search Algorithm the robot successfully to receive, understand, and issue responses according to the Natural Language expressions given in Indonesian Language. The movement of the robot is also simulated in a two-dimensional plane to demonstrate its ability to serve humans. © 2023 IEEE.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Radiation Pattern Characteristics of 1x5 and 1x6 Planar Microstrip Antennas with Edge Weighting at A Frequency of 2.6 Ghz

Radiation Pattern Characteristics of 1x5 and 1x6 Planar Micr...

引用

2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Vistalina Simanjuntak, Imelda Uli Yunita, Trasma Chairunnisa, Chairunnisa Kurniawan, Adit Bandung Institute of Technology School of Electrical Engineering and Informatics Bandung Indonesia Mercu Buana University Electrical Engineering Study Program Jakarta Indonesia

ISBN: (纸本)9798350320954

One of the methods used to increase channel capacity is the Non-Orthogonal Multiple Access (NOMA) methods. The increase in channel capacity in PD-NOMA multiple access means that the maximum power used by each user in each narrow band achieves increased power efficiency. Therefore, this research focuses on facilitating the increase in channel capacity by designing an antenna that produces a radiation pattern with many sharp main lobes and high gain. The multi-beam radiation pattern is obtained by using edge weighting. Therefore the antenna is designed with odd and even numbers represented by 1x5 and 1x6 antennas on the microstrip patch rectangular antenna at a frequency of 2.6 GHz. The effect of parasitic and non-parasite effects on the radiation pattern of a planar antenna with edge modeling is manageable in the main lobe, only in the side level lobe, which is not too significant. However, the number of main lobes on the 1x6 antenna has seven beam patterns, and the 1x5 antenna has five. The highest gain value obtains in the 1x6 design with a parasitic of 6.01 dB. This value meets the Gain requirements for 5G cellular systems. © 2023 IEEE.

关键词： Microstrip antennas

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of KNIME Low Code Platform in Deep Learning Study and Optimal Hyperparameter Tuning

Performance Evaluation of KNIME Low Code Platform in Deep Le...

引用

2024 IEEE Region 10 Conference, TENCON 2024

作者： Thongkhome, Pornpawee Yonezawa, Takuro Kawaguchi, Nobuo G30 International Program in Electrical Electronic and Information Engineering School of Engineering Nagoya University Aichi Japan Graduate School of Engineering Nagoya University Aichi Japan

ISBN: (纸本)9798350350821

A low-code platform is a software development environment that allows for the creation of applications through graphical user interfaces and configuration instead of traditional hand-coded computer programming. In this study, the application to classify a dataset of traffic sign images using the KNIME low-code deep learning development platform will be discussed to represents this software performance especial in term of model optimization processes. By creates the workflow to perform image preprocessing, create the CNN layer under KERAS sequential API and finding the best set of key hyperparameters among traditional KNIME build-in optimization algorithm including Brute force, Hill climbing, random search, Bayesian Optimization and black-box optimizer Optuna optimization algorithm under 3 types CNN architecture as simple CNN, Resnet-50 and VGG16 to classify traffic sign images. The result demonstrates that both grid search and random search optimization can be effective, while both Optuna and Bayesian optimization stands out as a powerful method due to its ability to efficiently explore the hyperparameter space and achieve superior results to meet 99% accuracy under simple CNN environment, but Optuna is significantly improve optimization times than Bayesian about 7 - 8 times. The KNIME low-code platform provides a user-friendly environment for developing and fine-tuning models to contribute the ongoing progress in machine learning and deep learning research development. © 2024 IEEE.

关键词： Graphical user interfaces

来源：评论

学校读者我要写书评

暂无评论

Threshold-Based Electroencephalography Brain-Computer Interface for Robot Arm Control 8

Threshold-Based Electroencephalography Brain-Computer Interf...

引用

8th Asia-Pacific Conference on Intelligent Robot Systems, ACIRS 2023

作者： Rusydi, Muhammad Ilhamdi Amrina, Elita Winata, Yoan Ramadhani, Salisa Nofendra, Riko Graduate School Universitas Andalas Engineering Faculty Program of Engineer Professional Education Electrical Engineering Department Padang Indonesia Universitas Andalas Engineering Faculty Electrical Engineering Department Padang Indonesia

ISBN: (纸本)9798350302851

Brain-Computer Interface (BCI) is a technique that uses real-Time brain impulses to connect with and control external devices. BCI provides a new method for controlling external devices by translating brain signals into computer commands, facilitating the daily lives of people with disabilities and enhancing their ability to exhibit expected behavior. A Brain-Computer Interface (BCI) system based on Electroencephalography (EEG) was built to control the robotic arm. The EEG signals utilized included both eyes blinking, the right eye, the left eye, and the jaw contraction. EEG data were recorded from seven healthy subjects. The threshold approach is used to classify EEG signals, with the feature employed being the amplitude of the EEG signal. The highest threshold value for the blinking signal was 0.6 mV with an accuracy of 97.9%, while the best threshold value for jaw contraction was 0.4 mV with an accuracy of 93.34 percent. The healthy, inexperienced participants took part in system testing. The total results of testing each robot movement yielded an overall success rate of 84.52 percent. Therefore, it was determined that the system could facilitate the operation of the length robot even if the user lacked prior experience with EEG-based systems. © 2023 IEEE.

关键词： Brain computer interface

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of Coverage Prediction in 4G Networks Using Machine Learning Classification Algorithm 10

Performance Evaluation of Coverage Prediction in 4G Networks...

引用

10th International Conference on Wireless and Telematics, ICWT 2024

作者： Yuliana, Hajiar Iskandar Hendrawan Ridwan, Azwar Mudzakkir Charisma, Atik Somantri, Nivika Tiffany Universitas Jenderal Achmad Yani Faculty of Engineering Department of Electrical Engineering Indonesia Institut Teknologi Bandung Doctoral Program of School of Elecrtical Engineering and Informatics Indonesia Bandung Indonesia UIN Sunan Gunung Djati Bandung Department of Electrical Engineering Indonesia

ISBN: (纸本)9798350377057

Network coverage prediction is an important aspect of 4G network planning and optimization. In this study, we conducted a comprehensive analysis of the performance of various machine learning algorithms in predicting 4G network coverage. The data collected includes information on location, signal intensity, topography, and other important variables. Data pre-processing is performed to clean, normalize, and select relevant features. Next, we compared the performance of several machine learning algorithms, including Logistic Regression, KNN, Naïve Bayes, Decision Tree, SVM, XGBoost, AdaBoost, and Bayesian Network Classifier. The model training process is performed using subsets of training, validation, and testing data, with evaluation performed using various evaluation metrics such as accuracy, precision, recall, F1-score, RMSE, MAE, and R-squared. The experimental results show that Random Forest stands out with excellent performance, while Naïve Bayes tends to produce lower performance. The conclusion of this study provides valuable insights into the potential applications of machine learning algorithms in predicting 4G network coverage with accuracy and reliability. © 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

Leveraging Heart Rate Variability and Machine Learning for Daily Activity Classification in Healthy Adult Males 18

Leveraging Heart Rate Variability and Machine Learning for D...

引用

18th International Conference on Telecommunication Systems, Services, and Applications, TSSA 2024

作者： Ikawati, Vidya Yusuf, Rahadian Prihatmanto, Ary Setijadi Sudrajat, Tatang Saepudin, Didin Surjono, Welly Doctoral Program of School of Electrical and Information Engineering Institute of Technology Bandung Bandung Indonesia Institute of Technology Bandung Departement of Electrical and Information Engineering Bandung Indonesia Universitas Sangga Buana Bandung Indonesia

ISBN: (纸本)9798331527686

Advancements in machine learning techniques for analyzing heart rate variability (HRV) show great potential in accurately measuring various activities in the field of health monitoring. This work examines the feasibility of using non-invasive HRV data gathered during everyday activities to train machine learning models for accurate activity classification. In the field of personalization, the study focuses on the difficulty of adapting to individual differences in baseline HRV. It also acknowledges that HRV is influenced by stress, physical activity, and external influences, and that it is a dynamic measure. The experimental methodology consists of a pilot study using a retrospective observational cohort approach. It utilizes a waistband device to continuously record heart rate variability (HRV) during different daily activities. The study utilizes a thorough methodology that includes statistical data description, correlation analysis, variance analysis, outlier detection, and identification of cycle periods using power spectral density. The performance of various machine learning models, such as Random Forest, Naïve Bayes, Decision Tree, and Logistic Regression, was evaluated for activity classification. The Decision Tree model exhibited superior performance. The work provides useful insights into the potential of machine learning for HRV-based activity monitoring, highlighting the importance of collecting reliable data and developing tailored models to improve accuracy and practicality. © 2024 IEEE.

关键词： Heart

来源：评论

学校读者我要写书评

暂无评论

Frequency Band Analysis and Spectrum Pricing for High Throughput Satellite in Indonesia 9

Frequency Band Analysis and Spectrum Pricing for High Throug...

引用

9th International Conference on Wireless and Telematics, ICWT 2023

作者： Ramadhani, Saenab Wijanto, Heroe Sudjai, Miftadi School of Electrical Engineering Telkom University Graduate Program of Regulation and Management of Telecommunication Bandung Indonesia School of Electrical Engineering Telkom University Regulation and Management of Telecommunication Bandung Indonesia

ISBN: (纸本)9798350305029

Ku-band and Ka-band are frequency bands that are widely used for high throughput satellites, in Indonesia Ku-band have been used in several types of satellite services to support bandwidth limitations in the C-band. For this reason, a comparative study of Ku-band and Ka-band was carried out to ensure that the two frequency bands can be used in Indonesia's tropical climate and further evaluate the existing regulations for the implementation of HTS in Indonesia. The results of this study show that Ku-band and Ka-band can be used for HTS satellites in Indonesia. All communication links tested showed C/N values higher than the minimum requirements of C/N. Although both frequency bands can use in Indonesia, in terms of economy and efficiency, Ka-band is greater than Ku-band, the availability of wide bandwidth makes the throughput produced by Ka-band more than Ku-band. Capacity measurement simulation is also carried out with two frequency reuse schemes where higher throughput is present at 8 spot beams per cluster scheme. The scenario requires at least nine times frequency reuse to cover the entire region of Indonesia with total throughput on Ka-band 123.02 Gbps under normal sky conditions and 55.56 Gbps under rain sky conditions. The regulation review process resulted in suggestions for changes to the bandwidth cost index to be used in setting spectrum prices for the use of HTS. The need for this change is based on the consideration that bandwidth cost index was previously the base price for satellite transponders with a small bandwidth and HTS satellites are sensitive bandwidth technology. © 2023 IEEE.

关键词： Satellites

来源：评论

学校读者我要写书评

暂无评论

Performance Evaluation of OSNR Sensitivity in DWDM-ROADM System for Data Center Interconnection

Performance Evaluation of OSNR Sensitivity in DWDM-ROADM Sys...

引用

IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Nomarhinta Solihah Erna Sri Sugesti School of Electrical Engineering Telkom University Digital Connectivity Servcie Telkom Indonesia Bandung Indonesia PhD Program of Electrical Engineering School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798350368086

ISBN: (纸本)9798350368093

The growing demand for handling sensitive data and high-bandwidth applications has made Data Center Interconnection (DCI) very important, as it provides high-bandwidth connectivity to improve efficiency. To address the increasing need for reliable, high-performance data transport, experts are evaluating the performance of Dense Wavelength Division Multiplexing (DWDM) integrated with Reconfigurable Optical Add-Drop Multiplexers (ROADM) system. Therefore, this study aimed to determine the optimal Optical Signal-to-Noise Ratio (OSNR) required for DWDM-ROADM system to transmit a 400 $\mathrm{Gb} / \mathrm{s}$ client interface operating at an $800 \mathrm{~Gb} / \mathrm{s}$ line-side rate. System configuration used a channel spacing of 150 GHz at a wavelength of $\mathbf{1 9 3. 1 5 0} \mathbf{~ T H z}$. Furthermore, OSNR performance evaluation was carried out by analyzing noise levels from Variable Optical Attenuator (VOA) and pre-Forward Error Correction (pre-FEC) setting. The results showed that DWDM-ROADM system required OSNR sensitivity value of $\mathbf{2 3. 1 5} \mathbf{d B}$ to ensure reliable $400 \mathrm{~Gb} / \mathrm{s}$ traffic transmission. This value was achieved at pre-FEC bit error rate (BER) of 0.02 and VOA attenuation of 8 dB, while capable of transmitting $400 \mathrm{~Gb} / \mathrm{s}$ of traffic. System performance was more stable at VOA level of 8 dB compared to 6 dB, where the traffic experiences errors at BER $1.63 \times 10^{-11}$. Finally, this study proposed a new test methodology for determining the minimum OSNR required for DWDM-ROADM system to reliably transmit $400 \mathrm{~Gb} / \mathrm{s}$ of traffic.

关键词： Performance evaluation Data centers Sensitivity Bit error rate Optical attenuators Wavelength division multiplexing Optical noise Reliability Monitoring Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Supervised Machine Learning Approach for Predicting Cardiovascular Complications Risk in Patients with Diabetes Mellitus

Supervised Machine Learning Approach for Predicting Cardiova...

引用

2023 International Conference on electrical engineering and Informatics, ICEEI 2023

作者： Muharram, Arief Purnama Sajid, Fahmi School of Electrical Engineering and Informatics Institut Teknologi Bandung Program of Informatics Bandung Indonesia

ISBN: (纸本)9798350381290

Diabetes mellitus, particularly type-2 diabetes, remains a prevalent health issue, raising concerns due to its associated risk of complications. Among these, cardiovascular complications pose a significant threat, exhibiting high morbidity and mortality rates. Health screening plays a pivotal role in stratifying the risk levels of diabetes patients, facilitating proactive measures to prevent the progression of complications. As such, the primary objective of this study is to develop a predictive model system for assessing cardiovascular risk in diabetes patients. Our study used the Cardiovascular Disease dataset and conducts experiments with various supervised machine learning algorithms, such as Naive Bayes, decision tree, random forest, AdaBoost, and XG- Boost. The results reveal that ensemble learning algorithms based on boosting, particularly AdaBoost and XGBoost, outperform other supervised machine learning methods. However, even with the best performance achieved using the dataset, the accuracy stands at 0.71, and the F -1 score is 0.69, which is still acceptable for screening purposes. Although these results provide valuable insights, indicating individuals at higher risk for cardiovascular complications in diabetes, further improvements are needed to enhance early prevention strategies. © 2023 IEEE.

关键词： Decision trees

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220页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：