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

16,502 篇 会议
212 篇 期刊文献

馆藏范围

16,714 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

10,816 篇 工学
- 7,695 篇 计算机科学与技术...
- 4,141 篇 电气工程
- 3,535 篇 软件工程
- 3,160 篇 信息与通信工程
- 1,026 篇 控制科学与工程
- 811 篇 电子科学与技术（可...
- 613 篇 生物医学工程（可授...
- 476 篇 机械工程
- 474 篇 仪器科学与技术
- 453 篇 光学工程
- 302 篇 动力工程及工程热...
- 254 篇 生物工程
- 185 篇 交通运输工程
- 166 篇 航空宇航科学与技...
- 145 篇 网络空间安全
- 122 篇 材料科学与工程（可...
- 115 篇 石油与天然气工程
2,765 篇 理学
- 1,596 篇 数学
- 1,134 篇 物理学
- 406 篇 统计学（可授理学、...
- 293 篇 生物学
- 159 篇 系统科学
- 132 篇 化学
1,775 篇 医学
- 1,669 篇 临床医学
- 204 篇 基础医学(可授医学...
- 122 篇 药学(可授医学、理...
- 108 篇 特种医学
874 篇 管理学
- 607 篇 管理科学与工程(可...
- 321 篇 图书情报与档案管...
- 106 篇 工商管理
80 篇 法学
78 篇 农学
59 篇 经济学
38 篇 文学
28 篇 军事学
26 篇 教育学
19 篇 艺术学

主题

3,288 篇 data compression
1,744 篇 image coding
1,231 篇 image compressio...
1,137 篇 video compressio...
897 篇 point cloud comp...
646 篇 three-dimensiona...
571 篇 encoding
532 篇 compression
508 篇 transform coding
501 篇 decoding
450 篇 data mining
415 篇 compression algo...
369 篇 bandwidth
341 篇 video coding
268 篇 training
256 篇 streaming media
248 篇 computer science
243 篇 deep learning
238 篇 data models
232 篇 discrete cosine ...

机构

25 篇 tsinghua univers...
25 篇 univ chinese aca...
23 篇 ieee
23 篇 department of el...
22 篇 univ calif river...
22 篇 department of el...
22 篇 peng cheng lab p...
19 篇 peking univ peop...
19 篇 peking univ inst...
17 篇 university of ch...
17 篇 argonne natl lab...
16 篇 shanghai jiao to...
16 篇 univ sci & techn...
16 篇 signal and data ...
16 篇 hewlett packard ...
15 篇 harbin institute...
15 篇 department of au...
14 篇 penn state univ ...
14 篇 nanyang technolo...
14 篇 peng cheng labor...

作者

50 篇 w. kinsner
22 篇 liang xin
22 篇 tao dingwen
21 篇 xiong hongkai
18 篇 lukin vladimir
16 篇 klasky scott
16 篇 pratas diogo
15 篇 li li
15 篇 wang shiqi
12 篇 moffat a
12 篇 zhou wang
12 篇 ma zhan
11 篇 jin sian
11 篇 liu zhi
11 篇 wang wei
11 篇 shapira dana
10 篇 liu dong
10 篇 wang jing
10 篇 liu jinyang
10 篇 zorzi michele

语言

16,403 篇 英文
162 篇 其他
116 篇 中文
28 篇 土耳其文
3 篇 俄文
1 篇 西班牙文
1 篇 葡萄牙文

检索条件"任意字段=IEEE Data Compression Conference"

共 16714 条记录，以下是61-70 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：

Joint Channel Estimation and Feedback in Multiple-Input Multiple-Output Systems by using Pilot Feedback Network with Adaptive compression Scheme 3

Joint Channel Estimation and Feedback in Multiple-Input Mult...

引用

3rd International conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Mohameed, Haeedir Biradar, Vidyadevi G. Murugan, K. Subramaniam, Sakthivel Koilraj, Thomas College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Nitte Meenakshi Institute of Technology Department of Information Science and Engineering Bengaluru India Bannari Amman Institute of Technology Department of Electronics and Communication Engineering Sathyamangalam India Sona College of Technology Department of Computer Science and Engineering salem India New Prince Shri Bhavani College of Engineering and Technology Department of Mechanical Engineering Chennai India

ISBN: (纸本)9798331508456

Nowadays, Massive Multiple-Input Multiple-Output (MIMO) has become important in 5G which enhances channel capacity by developing large antenna arrays at the Base Station (BS). Traditional approaches had faced several challenges which include high pilot overhead and increased computational complexity. Therefore, this research proposes Pilot Feedback Network with Adaptive compression Scheme (PFnet with Adaptive compression Scheme) for Channel Estimation (CE) and feedback in MIMO systems. Initially, data is generated from COST 2100 model. Then, a massive MIMO system with OFDM subcarriers and N-t antennas are considered. For channel estimation, the Least Squares (LS) estimator with interpolation is employed because of its low complexity by making it suitable for scenarios where computational efficiency is prioritized. However, to enhance estimation accuracy, a deep learning-based Channel Estimation and Feedback Network (CEFnet) is integrated by improving the robustness of estimation. Unlike conventional deep learning-based CSI compression methods like CsiNet, PFnet directly compresses pilot signals rather than CSI by reducing overhead. The proposed Adaptive compression Scheme further optimizes feedback efficiency by dynamically adjusting the compression ratio based on the Signal-to-Noise Ratio (SNR). The proposed PFnet with Adaptive compression Scheme achieved better results in terms of Normalized Mean Square Error (NMSE) when compared with existing PFnet. © 2025 ieee.

关键词： Least squares approximations

来源：评论

学校读者我要写书评

暂无评论

Modeling Dynamics of Short Video Dissemination in Social Media Environments Considering data Chain 4

Modeling Dynamics of Short Video Dissemination in Social Med...

引用

4th International conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Guanghua, Zhou Shandong Management University Shandong Jinan250357 China

ISBN: (纸本)9798331523923

With the rapid development of social media, short videos have become an important carrier of the information dissemination. For example, the dissemination network analysis of short videos is an important research branch of social network analysis. Hence, modeling dynamics of short video dissemination in social media environments considering data chain is studied. The core of this study is to explore the mechanism of short video information dissemination in social media environment. On the theoretical level, this study constructed a short video dissemination chain model by analyzing the density of social networks. At the same time, it also broke through the impact of social networks on short video dissemination by combining user interaction and content dissemination behavior. In terms of video information processing, this study uses a video data compression algorithm based on H.265 and combines it with a deep learning optimization algorithm to compress and process short video dissemination data. In terms of social network construction, this study uses a heterogeneous graph attention network across social media networks. In theory, a multi-feature fusion method is proposed to optimize the network structure based on the heterogeneity and dynamics of user information on different social media platforms. At the same time, this study studied the information diffusion sequence and network topology in short video dissemination by constructing a data chain co-evolution mechanism. On this basis, a dissemination prediction model based on deep learning was proposed. The experiment verified the proposed framework from the network simulation level. © 2025 ieee.

关键词： Video analysis

来源：评论

学校读者我要写书评

暂无评论

A 0.22mm2161nW Noise-Robust Voice-Activity Detection Using Information-Aware data compression and Neuromorphic Spatial-Temporal Feature Extraction 72

A 0.22mm2161nW Noise-Robust Voice-Activity Detection Using I...

引用

72nd ieee International Solid-State Circuits conference, ISSCC 2025

作者： Liu, Ying Li, Jie Zhang, Qining Zhao, Tianhao Shi, Chenhao Shang, Ninghui Chen, Peiyu Ge, Xiaohuan Ma, Yufei Shen, Linxiao Wang, Zhixuan Huang, Ru Ye, Le Nano Core Chip Electronic Technology Hangzhou China Peking University Beijing China Advanced Institute of Information Tecnhology of Peking University Hangzhou China

ISBN: (纸本)9798331541019

Nowadays, voice activation detection (VAD), typically consisting of the feature extractor (FE) and the intelligent engine (IE), is crucial for reducing the power consumption of the voice processing system (VPS) (Fig. 13.1.1 top). Normally, the always-on VAD dominates the power consumption while VPS remains inactive [1]. Therefore, the VAD should meet stringent power consumption requirement to extend the battery life of artificial intelligence of things (AIoT) devices. Additionally, achieving excellent inference accuracy and noise robustness is also essential for practical consideration. [1] proposed the analog FE and exploited binary NNs (BNNs), consuming 1μW power but with only 85% accuracy. [2] presented the analog convolutional neural networks (CNNs) to reduce the power of IEs (108nW), but it only achieved about 90% accuracy in high signal-noise ratio (SNR) (>10dB) scenarios. Recently, the bio-inspired spike-based methods [4-5] have shown promising ultra-low-power (ULP) and intelligent potentials across various scenarios. [5] converted Mel-frequency cepstral coefficients (MFCC) features into spikes and trained two fully-connected spiking NNs (SNNs) layers, achieving >90% VAD accuracy across 0~5dB SNR. However, the spikes generation from the static MFCC induces excessive power consumption. [5] demonstrated 90% accuracy for ECG classification with 82nW power consumption. However, the level-crossing coding in [4] will generate more spikes when processing the voice whose frequency is much higher than ECG, resulting in more power consumption. To the best knowledge, a VAD system achieving ultra-low power consumption, excellent accuracy and noise robustness has not yet been presented. © 2025 ieee.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Approach to High-Reliability data Transmission System for Unmanned Surface Vehicles 2

A Hybrid Approach to High-Reliability Data Transmission Syst...

引用

2nd International conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Kurdiuk, Serhii Melnyk, Oleksiy Onishchenko, Oleg Dremliuk, Vadym Gavrylyuk, Tymofiy National University 'Odesa Maritime Academy' Odesa Ukraine Odesa National Maritime University Navigation and Maritime Safety Dept. Odesa Ukraine National University 'Odesa Maritime Academy' Ship Handling Dept. Odesa Ukraine

ISBN: (纸本)9798331505745

The work presents a hybrid communication system for highly reliable data transmission for unmanned surface vessels (USVs) operating in challenging maritime environments. The proposed system integrates adaptive channel switching, data compression and device reconfiguration to overcome interference problems and ensure uninterrupted transmission of video, telemetry and control signals. Trials have demonstrated system stability at 80% packet loss, enabling real-time operations including environmental monitoring and search and rescue. The research highlights the robustness of the system under a range of operating conditions and suggests potential applications in both commercial and dual-use sectors. © 2025 ieee.

关键词： Lyapunov methods

来源：评论

学校读者我要写书评

暂无评论

Keep what you need: Extracting efficient subnetworks from large audio representation models

Keep what you need: Extracting efficient subnetworks from la...

引用

2025 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Genova, David Esling, Philippe Hurlin, Tom UMR 9912 STMS IRCAM Sorbonne University CNRS Paris France Squarp Instruments Paris France

ISBN: (纸本)9798350368741

Recently, research on audio foundation models has witnessed notable advances, as illustrated by the ever improving results on complex downstream tasks. Subsequently, those pretrained networks have quickly been used for various audio applications. These improvements have however resulted in a considerable increase both in size and complexity of these models. Along the environmental concerns this issue raises, this prevents the deployment of such networks on consumer-level devices, and precludes their use for real-time applications. Moreover, this appears contradictory with the specificity of the tasks for which these models are used, which are often simpler compared to extracting a rich, multi-purpose representation from any type of audio data. In this paper, we address this issue with a simple, yet effective method to extract lightweight specialist subnetworks from large foundation models. Specifically, we introduce learnable binary masks in-between the layers of a pretrained representation model. When training the end-to-end model on a downstream task, we add a sparsity-inducing loss to the overall objective, hence learning a compact subnetwork specialized on a single task. Importantly, the weights of the foundation model are kept frozen, resulting into low additional training costs. Once trained, the masked computational units can then be removed from the network, implying significant performance gains. We assess our method on three widespread audio foundation models, each based on a different backbone architecture, and illustrate its effectiveness on common audio representation evaluation tasks, as well as its versatility on both speech, music, and general audio. Code for reproducing the results and supporting webpage are available at https://***/gnvIRCAM/Audio-representation-trimming. © 2025 ieee.

关键词： compression deep learning representation model transfer learning

来源：评论

学校读者我要写书评

暂无评论

A Study of Effective compression Methods for IoT Communication

A Study of Effective Compression Methods for IoT Communicati...

引用

ieee International conference on Consumer Electronics (ICCE)

作者： Chisa Ito Atsuko Takefusa Hidemoto Nakada Masato Oguchi Ochanomizu University Bunkyo-ku Tokyo Japan National Institute of Informatics Chiyoda-ku Tokyo Japan Juntendo University Bunkyo-ku Tokyo Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Sensor data from Internet of Things (IoT) devices can be routinely collected, analyzed, and utilized in the cloud. However, the communication throughput and latency required for various services must be maintained while collecting IoT data from mobile environments. IoT communication involves a large amount of small-scale data streaming, necessitating efficient transmission methods tailored to the communication environment. This study investigated data compression processes by considering IoT data communication. Lossless compression is applied for JSON data, a commonly used data format in IoT communication. Lossy compression is used for image data because lossless compression is rarely effective. Experiments indicate that selecting an algorithm that considers the balance between compression/decompression time and compression ratio is important, and that the calculation model makes it possible to predict the communication time by applying the compression process for each data size and compression algorithm. Additionally, for JPEG data, we confirmed that lower compression quality reduces compression time.

关键词： Performance evaluation Image coding Linear regression Transform coding Streaming media Predictive models Throughput Prediction algorithms data models Internet of Things

来源：评论

学校读者我要写书评

暂无评论

Advanced data Storage Model with Blockchain Technology and Huffman Algorithm 29

Advanced Data Storage Model with Blockchain Technology and H...

引用

29th International conference on Information Technology, IT 2025

作者： Canpolat, Nida Yetis, Hasan Yaman, Orhan Karakose, Mehmet Firat University Department of Digital Forensic Engineering Elazig Turkey Firat University Department of Computer Engineering Elazig Turkey

ISBN: (纸本)9798331517649

The secure storage and preservation of data is a very important issue. Different methods and studies have been presented for the secure storage of data. One of these methods is Blockchain based approaches. Blockchain technology continues to revolutionize various sectors by offering innovative solutions for reliable and distributed data management. Therefore in this study, an approach that aims to increase transaction efficiency and reduce storage costs in the Blockchain infrastructure is presented. Huffman coding, transaction clustering and PoW (Proof of Work) mechanism are integrated into the presented approach. The smart clustering algorithm we developed by taking into account transaction similarities compresses data with Huffman coding and includes compressed transactions in blocks. In addition the security of each block is ensured by using the PoW mechanism. The main contributions of our work include a dynamic clustering approach for transaction similarity analysis, the effectiveness of the on-chain data compression method and the performance evaluation of a Blockchain system integrated with PoW. In the experiments, it has been observed that the proposed system saves approximately 35% in storage costs compared to the traditional Blockchain structure and optimizes the transaction addition speed. This study provides an important step towards improving the efficiency and reliability of Blockchain technology from both theoretical and practical perspectives. The proposed approach provides an ideal solution for large-scale Blockchain applications and resource-constrained environments. © 2025 ieee.

关键词： Storage efficiency

来源：评论

学校读者我要写书评

暂无评论

Real-World Evaluation of Compressed Sensing for data compression in Smart Grids

Real-World Evaluation of Compressed Sensing for Data Compres...

引用

ieee Texas Power and Energy conference (TPEC)

作者： Sepideh Alaei Varnousfaderani Mansour Taheri Andani Mohammad Yousefpour Sahar Alaei Majid Taheri Andani Azad University Arizona State University Data Engineer Software Engineer

ISBN: (数字)9798331541125

ISBN: (纸本)9798331541132

The smart grid integrates digital technologies for efficient power delivery and real-time monitoring, but managing its large data volumes remains challenging. This study investigates Compressed Sensing (CS) as a solution for data compression in smart grids. Using real-world data, we demonstrate that CS significantly reduces data volume while preserving signal accuracy, offering a practical approach to efficient, real-time data management.

关键词： Accuracy data compression Real-time systems Smart grids Sensors Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation

Disentangling Subject-Irrelevant Elements in Personalized Te...

引用

2025 ieee/CVF Winter conference on Applications of Computer Vision, WACV 2025

作者： Choi, Seunghwan Yun, Jooyeol Park, Jeonghoon Choo, Jaegul Daejeon Korea Republic of

ISBN: (纸本)9798331510831

Recent research has unveiled the development of customizing large-scale text-to-image models. These models bind a unique subject desired by a user to a specific token, using the token to generate the subject in various contexts. However, models from previous studies also bind elements unrelated to the subject's identity, such as common backgrounds or poses in the reference images. This often leads to conflicts between the token and the context of text prompts during inference, causing the model to fail to generate both the subject and the prompted context. In this work, we approach this issue from a data scarcity perspective and propose to augment the number of reference images through a novel self-distillation framework. Our framework selects high-quality samples from images generated by a teacher model and uses them in student training. Our framework can be applied to any models that suffer from the conflicts, and we demonstrate that our framework most effectively resolves the issue through comprehensive evaluations. © 2025 ieee.

关键词： Image compression

来源：评论

学校读者我要写书评

暂无评论

A Noise-Based Approach Augmented with Neural Cleanse and JPEG compression to Counter Adversarial Attacks on Image Classification Systems 33

A Noise-Based Approach Augmented with Neural Cleanse and JPE...

引用

33rd Euromicro International conference on Parallel, Distributed, and Network-Based Processing, PDP 2025

作者： Kotenko, Igor Saenko, Igor Lauta, Oleg Vasiliev, Nikita Sadovnikov, Vladimir Laboratory of Computer Security Problems Saint-Petersburg Russia Admiral Makarov State University of Maritime and Inland Shipping Department of Telecommunications and Information Security Saint-Petersburg Russia

ISBN: (纸本)9798331524937

Adversarial attacks are now becoming quite a dangerous means of disrupting image processing systems that use machine learning methods for decision making. Therefore, developing effective countermeasures against adversarial attacks is becoming quite an important area of cybersecurity. The paper proposes a noise-based approach to countering adversarial attacks that is augmented with neural-cleanse and jpeg-compression technologies. The idea of the proposed approach is that adding noise distorts the effect of an adversarial attack, and neural cleaning and jpeg compression eliminate the consequences of such an effect. The paper examines the three most well-known types of adversarial attacks: Fast Gradient Sign Method, Zeroth Order Optimization and One Pixel Attack. These attacks manipulate input data, resulting in misclassification or incorrect predictions by exploiting high-frequency components that are undetectable to humans. The research was carried out on two datasets: MNIST-JPG and PC Parts Images. Two types of noise were used: Gaussian and Poisson. During the experiments, optimal parameters for these types of noise were found, ensuring maximum accuracy of image recognition after exposure to adversarial attacks. © 2025 ieee.

关键词： Disinfection

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500页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：