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

4,634 篇 会议
93 篇 期刊文献
36 册 图书

馆藏范围

4,763 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,775 篇 工学
- 1,345 篇 计算机科学与技术...
- 871 篇 电气工程
- 726 篇 信息与通信工程
- 641 篇 软件工程
- 494 篇 控制科学与工程
- 366 篇 仪器科学与技术
- 274 篇 测绘科学与技术
- 264 篇 机械工程
- 257 篇 电子科学与技术（可...
- 199 篇 材料科学与工程（可...
- 154 篇 动力工程及工程热...
- 136 篇 航空宇航科学与技...
- 135 篇 交通运输工程
- 114 篇 光学工程
- 105 篇 土木工程
- 99 篇 化学工程与技术
- 96 篇 安全科学与工程
- 92 篇 建筑学
- 90 篇 生物医学工程（可授...
- 61 篇 生物工程
1,204 篇 理学
- 851 篇 物理学
- 222 篇 数学
- 131 篇 化学
- 72 篇 系统科学
- 66 篇 生物学
374 篇 管理学
- 320 篇 管理科学与工程(可...
- 111 篇 工商管理
- 93 篇 图书情报与档案管...
152 篇 医学
- 136 篇 临床医学
- 59 篇 基础医学(可授医学...
47 篇 经济学
44 篇 军事学
23 篇 农学
21 篇 法学
10 篇 教育学
4 篇 文学
2 篇 艺术学

主题

692 篇 wireless sensor ...
386 篇 sensor systems
258 篇 real-time system...
253 篇 robot sensing sy...
249 篇 sensors
219 篇 monitoring
203 篇 wireless communi...
153 篇 sensor phenomena...
132 篇 internet of thin...
119 篇 temperature sens...
109 篇 control systems
101 篇 accuracy
98 篇 cameras
91 篇 protocols
83 篇 temperature meas...
83 篇 sensor systems a...
82 篇 intelligent sens...
80 篇 energy consumpti...
77 篇 hardware
76 篇 sensor

机构

11 篇 vsb tech univ os...
9 篇 shenzhen institu...
9 篇 department of in...
8 篇 graduate school ...
8 篇 vsb tech univ os...
6 篇 department of la...
6 篇 tianjin univ col...
6 篇 jilin univ coll ...
6 篇 tokyo denki univ...
6 篇 beijing univ tec...
6 篇 tsinghua univ de...
5 篇 korea advanced i...
5 篇 fraunhofer izm
5 篇 northeastern uni...
5 篇 harbin engn univ...
5 篇 shenzhen institu...
5 篇 tianjin univ min...
5 篇 beijing inst tec...
5 篇 carnegie mellon ...
5 篇 faculty of softw...

作者

14 篇 liu tiegen
13 篇 leonard barolli
11 篇 daeyoung kim
11 篇 barolli leonard
10 篇 jiang junfeng
9 篇 arjan durresi
9 篇 martinek radek
8 篇 zhang min
8 篇 wang shuang
8 篇 popescu dan
8 篇 jargus jan
7 篇 pang fufei
7 篇 zheng jie
7 篇 wang tingyun
7 篇 yuan libo
7 篇 sood ashok k.
6 篇 dahiya ravinder
6 篇 nedoma jan
6 篇 ikeda makoto
6 篇 elmazi donald

语言

4,512 篇 英文
220 篇 其他
38 篇 中文

检索条件"任意字段=Conference on Advanced Sensor Systems and Applications"

共 4763 条记录，以下是801-810 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：

THz Spectroscopy Analysis of Crystallinity Optimization for Enhanced Piezoelectricity in Biodegradable Poly-L-Lactide Acid

THz Spectroscopy Analysis of Crystallinity Optimization for ...

引用

IEEE International conference on Flexible and Printable sensors and systems (FLEPS)

作者： Youssif Merhi Yasith Amarasinghe Vincent O. Y. Goumarre Karem Lozano Montero Matti Mantysalo Pernille K. Pedersen Shweta Agarwala Department of Electrical and Computer Engineering Aarhus University Denmark Faculty of Information Technology and Communication Sciences Tampere University Finland

ISBN: (数字)9798350383263

ISBN: (纸本)9798350383270

Our research delves into both the fabrication and analysis of biodegradable Poly-L-Lactic Acid (PLLA) films. Specifically, we investigate how stretching impacts the piezoelectric properties of PLLA films. By employing advanced techniques such as Terahertz Time-Domain Spectroscopy (THz-TDS), we aim to unveil previously undiscovered aspects of PLLA’s behavior under strain. This includes quantifying changes in crystallinity and observing alterations in piezoelectric responses and absorption spectra. Our study not only emphasizes the fabrication of PLLA as a biodegradable material but also explores its piezoelectric performance, involving methods such as inducing strain and measuring the piezoelectric output. Through this multifaceted approach, we strive to contribute to the progression of sustainable biomaterials and the design of innovative biomedical devices.

关键词： Fabrication Performance evaluation Spectroscopy Films Piezoelectricity Strain measurement sensor systems and applications

来源：评论

学校读者我要写书评

暂无评论

Autonomous Docking for Underwater Drones Using ArUco Marker Based Localization

Autonomous Docking for Underwater Drones Using ArUco Marker ...

引用

Robotics, Automation and Artificial Intelligence (RAAI), IEEE International conference on

作者： Benaiah Saju Joseph Shasank Gunturu Sumukh Shrote S Sandosh School of Computer Science and Engineering Vellore Institute of Technology Chennai Chennai India

ISBN: (数字)9798331520038

ISBN: (纸本)9798331520045

Autonomous docking for underwater drones is crucial for various marine applications. This paper introduces an approach to autonomous underwater vehicle (AUV) docking using ArUco marker-based localization, as demonstrated by Project MIRA, at the Tau Autonomy Center, Norway. The method combines a control system with dual-feed computer vision based perception to achieve autonomy. The control system is based on a cascaded PID controller fine-tuned using various external sensors and optimization techniques. The vision system utilizes ArUco markers for 3D positioning. Our method uses visual markers to help the drone navigate to a custom docking pad. We achieved stable and reliable docking by combining advanced control systems using visual-inertial sensors. This work highlights the potential of using visual markers and smart control systems for underwater drone operations.

关键词： Location awareness YOLO Visualization Computer vision Autonomous underwater vehicles Navigation 6-DOF sensor systems Reliability Drones

来源：评论

学校读者我要写书评

暂无评论

Smart and Quick Parking Spot Detection

Smart and Quick Parking Spot Detection

引用

International conference on Computing and Networking Technology (ICCNT)

作者： Santhosh Kumar Veeramalla Rama Lakshmi Gali M Ranjeeth Saikumar Tara V Hindumathi L Bhargava Kumar Department of ECE BVRIT HYDERABAD College of Engineering for Women Hyderabad India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

The rapid expansion of urban areas has intensified the challenge of finding parking spaces for drivers. Intelligent parking systems emerge as a crucial solution by providing real-time detection of available spaces. While various methods exist, from basic magnetic sensors to advanced computer vision algorithms, their effectiveness can be hindered by environmental factors. Recognizing the importance of automated systems, this paper focuses on implementing an image processing approach for parking space detection. By strategically placing cameras in parking lots, the system identifies vacant spaces and transforms images to determine availability. Integrating these techniques into mobile applications could further aid drivers in locating parking spots, improving their overall experience. Ultimately, accurate and efficient parking space identification is vital for reducing congestion, enhancing air quality, and improving urban environments.

关键词： Wireless sensor networks Transmitters Urban areas Transforms Streaming media Cameras User experience Real-time systems Automobiles Vehicles

来源：评论

学校读者我要写书评

暂无评论

Crop Detection and Weed Removal Agriculture Robot

Crop Detection and Weed Removal Agriculture Robot

引用

Intelligent systems and advanced applications (ICISAA), International conference on

作者： Digambar P. Patil Digvijay B. Kanase Seema S. Patil Deepak B. Patil Himmat Singh Purohit Nupoor Mhatre Department of Automation and Robotics Dr. D. Y. Patil Institute of Technology Pune Maharashtra India Department of Electrical Engineering Dr. D. Y. Patil Institute of Technology Pune Maharashtra India Department of E&Tc Engineering Ashokrao Mane Group of Institutions Kolhapur Maharashtra India Electronics and Telecommunication Engineering Department NMIET Talegaon Dabhade Pune Maharashtra India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

Weed management is important thing of modern agriculture, as weeds can significantly impact crop yields, increase production costs, and pose environmental challenges. Weeds are unwanted plants that make race with desirable crops for resources such as nutrients, sunlight and water. It can cause significant damage to crops and other vegetation if left uncontrolled. The use of herbicides to control weeds can result in environmental pollution if not applied properly or if excessive amounts are used. Continuous use of herbicides without proper rotation or alternative weed management strategies can lead to the development of herbicide-resistant weed populations. Weed presence in harvested crops can reduce their quality, making them less marketable. The weed removal robot will be equipped with various sensors to scan the field and detect the presence of weeds. advanced computer vision algorithms and machine learning techniques are often employed to differentiate between crops and weeds based on color, shape, or other characteristics. sensors scan the field and capture images or data that are then processed by the processor. The single board computer can be programmed to recognize the visual differences between crops and weeds based on color, shape, or other characteristics. This robot will be equipped with precise actuators, which can include mechanical arms or electric tools. These actuators are used to perform the actual weed removal tasks. The processor controls the weed removal mechanism, which could be a mechanical arm with tools like rotating brushes or blades for physical weed removal

关键词： YOLO Actuators Shape Image color analysis Crops sensor phenomena and characterization Robot sensing systems Manipulators Agriculture Farming

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Logic Framework for Internet of Things systems Implementation 15

Fuzzy Logic Framework for Internet of Things Systems Impleme...

引用

15th International conference on advanced Technologies, systems and Services in Telecommunications, TELSIKS 2021

作者： Zoican, Sorin Zoican, Roxana Galatchi, Dan Politehnica University of Bucharest Faculty of Electronics Telecommunications and Information Technology Splaiul Independentei 313 Bucharest060042 Romania

ISBN: (纸本)9781665444422

This paper presents a framework to implement an Internet of Things (IoT) system using fuzzy logic. This framework provides general fuzzy membership functions that can be particularized for various applications implementing specific fuzzy rules to determine the system output. The motivation of this work is to create and test a flexible framework for the rapid implementation of IoT applications. Generic functions are implemented that are integrated into a commercial hardware platform. The framework is evaluated in terms of computation time and power consumption using a wireless sensor network (WSN) evaluation kit from Analog Devices. Also, a system for determining a person's health condition is illustrated as an application implementation example using the proposed fuzzy IoT framework. © 2021 IEEE.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

Electronic Prognostics Innovations for applications to Aerospace systems

Electronic Prognostics Innovations for Applications to Aeros...

引用

IEEE conference on Aerospace

作者： Matthew Gerdes Kenny Gross Guang Chao Wang Oracle Corporation

Oracle has an anomaly detection solution for monitoring time-series telemetry signals for dense-sensor IoT prognostic applications. It integrates an advanced prognostic pattern recognition technique called Multivariate State Estimation Technique (MSET) for high-sensitivity prognostic fault monitoring applications in commercial nuclear power and aerospace applications. MSET has since been spun off and met with commercial success for prognostic Machine Learning (ML) applications in a broad range of safety critical applications, including NASA space shuttles, oil-and-gas asset prognostics, and commercial aviation streaming prognostics. MSET proves to possess significant advantages over conventional ML solutions including neural networks, autoassociative kernel regression, and support vector machines. The main advantages include earlier warning of incipient anomalies in complex time-series signatures, and much lower overhead compute cost due to the deterministic mathematical structure of MSET. Both are crucial for dense-sensor avionic IoT prognostics. In addition, Oracle has developed an extensive portfolio of data preprocessing innovations around MSET to solve the common big-data challenges that cause conventional ML algorithms to perform poorly regarding prognostic accuracy (i.e. false/missed alarm probabilities). Oracle's MSET-based prognostic solution helps increase avionic reliability margins and system availability objectives while reducing costly sources of “no fault found” events that have become a significant sparing-logistics issue for many industries including aerospace and avionics. Moreover, by utilizing and correlating information from all on-board telemetry sensors (e.g., distributed pressure, voltage, temperature, current, airflow and hydraulic flow), MSET is able to provide the best possible prediction of failure precursors and onset of small degradation for the electronic components used on aircrafts, benefiting the aviation Prognostics and Health Mana

关键词： Temperature sensors Degradation Technological innovation Aerospace electronics sensor systems sensors Telemetry

来源：评论

学校读者我要写书评

暂无评论

Research on Task Scheduling Methods for Intelligent Connected Vehicles with End-to-End Delay Constraints

Research on Task Scheduling Methods for Intelligent Connecte...

引用

IEEE International conference on Industrial Informatics (INDIN)

作者： Shichun Yang Wenlong Chen Boao Zhang Qianlong Duan Bide Hao Xiaoyu Yan School of Transportation Science and Engineering Bei Hang University Beijing China Research Institute of Aero-Engine Bei Hang University Beijing China

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

With the rapidly growing Intelligent Connect-ed Vehicle (ICV) industry, modern advanced Driver Assistance systems (ADAS) integrate critical and non-critical software functions on the same hardware platform. These functions have complex timing requirements and associated dependencies. To ensure the real-time safety of critical au-tomotive applications, complex task chains with dependencies generated by automotive applications (e.g. sensor data acquisition, data processing, and control execution) must meet the worst end-to-end latency. The resulting task sched-uling problem requires the assignment of tasks to available cores for execution and the generation of static schedules that satisfy the timing constraints of the tasks and the end-to-end latency of the task chain. In this paper, a task sched-uling and task mapping method based on an intelligent heu-ristic algorithm is proposed for the ADAS platform, and simulated scheduling based on the EDF algorithm. The op-timal task scheduling scheme is selected by calculating the fitness function by the intelligent heuristic algorithm, and the simulated annealing algorithm (SA) is selected as the benchmark for the experiment. The experimental results show that the grey wolf optimizer converges faster and finds a better scheduling scheme, which reduces the total time of scheduling tasks.

关键词： Schedules Job shop scheduling Processor scheduling Heuristic algorithms Optimal scheduling Transforms Simulated annealing Software Delays advanced driver assistance systems

来源：评论

学校读者我要写书评

暂无评论

Enhancing Mobility and Safety for Vulnerable Populations: An IoT-Enabled Smart Walking Frame with Mobile Application Integration

Enhancing Mobility and Safety for Vulnerable Populations: An...

引用

International conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)

作者： Ying Mei Leong Yau Kit Chung Lip Khi Lim Faculty of Computing and Engineering Quest International University Ipoh Malaysia School of Computing Newcastle University Newcastle United Kingdom

ISBN: (数字)9798331533137

ISBN: (纸本)9798331533144

The Smart Walking Frame revolutionizes mobility assistance for amputees and elderly individuals by seamlessly integrating Internet of Things (IoT) technology with a conventional walking frame. This innovative device addresses critical challenges in safety, independence, and emergency response for mobility-impaired users. The Smart Walking Frame incorporates an Arduino Uno microcontroller and a dedicated mobile application, offering advanced functionalities through embedded buttons. These include an alarm system for immediate attention, an SOS feature for emergencies, and sophisticated obstacle and water detection capabilities. By tackling issues such as limited situational awareness, difficulty in summoning immediate help, and lack of real-time location tracking, the device significantly enhances user mobility and security. Key innovations include the integration of multiple sensors for comprehensive environmental awareness, a Bluetooth-enabled mobile application for seamless control and monitoring, and a real-time GPS tracking system with SOS alerts. The accompanying mobile application extends the device's utility by enabling location tracking and allowing users to configure multiple emergency contacts. By combining these advanced features with the familiar form factor of a walking frame, the Smart Walking Frame offers a comprehensive solution to improve the quality of life and safety of individuals with limited mobility or self-defense capabilities, promising greater independence and peace of mind for users and their caregivers.

关键词： Legged locomotion Technological innovation Navigation sensor systems and applications Real-time systems Safety Mobile applications Internet of Things Older adults Monitoring

来源：评论

学校读者我要写书评

暂无评论

Enhanced Clustering Framework for Unveiling Hidden Patterns in IoT-Based Structured and Unstructured Data

Enhanced Clustering Framework for Unveiling Hidden Patterns ...

引用

International Symposium on advanced Computing and Communication (ISACC)

作者： Prabhat Das Karthik Kovuri Sajal Saha Department of IT The Assam Kaziranga University Department of CSE Adamas University Department of CSE The Assam Kaziranga University

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Clustering algorithms play a pivotal role in uncovering hidden patterns and relationships within diverse datasets. This study discusses about an enhanced real-time clustering approach based on the Birch methodology, optimized for analyzing both structured and unstructured data. Structured data, consisting of IoT sensor readings, and unstructured image data, captured using Raspberry Pi devices deployed in various locations, were analyzed to identify meaningful patterns. For structured data, the algorithm effectively clustered environmental parameters, revealing correlations and anomalies. For unstructured data, high-dimensional image features extracted using a pre-trained VGG16 model were clustered, uncovering patterns in texture, color, and structure. Experimental results demonstrate the algorithm’s scalability and efficiency, achieving high-quality clusters with average Silhouette Scores of 0.87 and 0.81 for structured and unstructured datasets, respectively. These findings highlight the algorithm’s adaptability and its potential for real-time analytics in diverse applications such as environmental monitoring and image-based decision-making systems.

关键词： Visualization Temperature distribution Correlation Image color analysis Scalability Clustering algorithms Feature extraction Real-time systems Environmental monitoring Object recognition

来源：评论

学校读者我要写书评

暂无评论

Transforming Obesity Care Through Artificial Intelligence: Real-Case Implementations and Personalized Solutions

Transforming Obesity Care Through Artificial Intelligence: R...

引用

Computational Intelligence Approaches and applications (ICCIAA), International conference on

作者： Mayyas Al-Remawi Rami A. Abdel-Rahem Faisal Al-Akayleh Faisal Aburub Ahmed S.A. Ali Agha Department of Pharmaceutics and Pharmaceutical Technology University of Petra Amman Jordan Department of Chemistry Faculty of Arts and Sciences University of Petra Amman Jordan Faculty of Administrative & Financial Sciences University of Petra Amman Jordan Department of Pharmaceutical Sciences The University of Jordan Amman Jordan

ISBN: (数字)9798331523657

ISBN: (纸本)9798331523664

Obesity is a multifactorial condition that significantly increases the risk of metabolic syndrome, cardiovascular disease, and various other comorbidities. Conventional obesity management strategies-encompassing body mass index (BMI) measurements, dietary counseling, and caloric tracking-often fail to account for the heterogeneity of individual genetic, behavioral, and metabolic factors. Artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), has emerged as a transformative approach, offering data-driven, personalized solutions that integrate electronic health records (EHRs), wearable sensor data, and multi-omics information. This article examines contemporary AI applications for obesity care, highlighting real-case implementations, technical and ethical considerations, and the future potential for optimizing patient outcomes. By leveraging advanced analytics, healthcare providers can enhance diagnostic precision, tailor interventions to individualized needs, and support sustained weight control, thus redefining the paradigm of obesity management.

关键词： Deep learning Obesity Ethics Weight control Force measurement Imaging Medical services Genetics Real-time systems Wearable sensors

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477页 << < 77 78 79 80 81 82 83 84 85 86 > >>

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：