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

213 篇 会议
7 篇 期刊文献

馆藏范围

220 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

102 篇 工学
- 66 篇 计算机科学与技术...
- 54 篇 软件工程
- 47 篇 信息与通信工程
- 35 篇 电子科学与技术（可...
- 27 篇 电气工程
- 17 篇 光学工程
- 13 篇 控制科学与工程
- 7 篇 仪器科学与技术
- 5 篇 机械工程
- 4 篇 生物工程
- 3 篇 生物医学工程（可授...
- 2 篇 材料科学与工程（可...
- 2 篇 安全科学与工程
- 2 篇 网络空间安全
- 1 篇 力学（可授工学、理...
- 1 篇 动力工程及工程热...
- 1 篇 建筑学
35 篇 理学
- 18 篇 数学
- 15 篇 物理学
- 6 篇 系统科学
- 6 篇 统计学（可授理学、...
- 2 篇 生物学
- 1 篇 化学
- 1 篇 地质学
16 篇 管理学
- 15 篇 管理科学与工程(可...
- 6 篇 工商管理
4 篇 医学
- 4 篇 临床医学
3 篇 经济学
- 3 篇 应用经济学
2 篇 农学
- 2 篇 作物学
1 篇 法学
- 1 篇 社会学
1 篇 军事学

主题

16 篇 bandwidth
14 篇 computer archite...
14 篇 pipelines
13 篇 streaming media
12 篇 decoding
11 篇 motion estimatio...
11 篇 pixel
11 篇 hardware
11 篇 layout
10 篇 video coding
10 篇 cameras
10 篇 image coding
10 篇 costs
10 篇 encoding
8 篇 filtering
8 篇 visualization
8 篇 automatic voltag...
8 篇 bit rate
7 篇 design optimizat...
7 篇 scalable video c...

机构

20 篇 advanced system ...
15 篇 advanced system ...
5 篇 center for wirel...
5 篇 dipartimento di ...
5 篇 stmicroelectroni...
5 篇 advanced system ...
5 篇 advanced system ...
4 篇 advanced system ...
4 篇 department of in...
4 篇 advanced system ...
4 篇 advanced system ...
4 篇 stmicroelectroni...
4 篇 advanced system ...
4 篇 advanced system ...
3 篇 advanced system ...
3 篇 advanced system ...
3 篇 politecnico di t...
3 篇 advanced system ...
3 篇 advanced system ...
3 篇 advanced system ...

作者

10 篇 alfonso daniele
9 篇 daniele alfonso
7 篇 s. battiato
7 篇 a. castorina
7 篇 danilo pau
6 篇 g.m. maggio
5 篇 a. bruna
5 篇 bagni daniele
5 篇 emiliano mario p...
5 篇 a. capra
5 篇 danilo pietro pa...
5 篇 emanuele plebani
5 篇 pau danilo
5 篇 sumit johar
5 篇 ravin sachdeva
4 篇 luca pezzoni
4 篇 e. messina
4 篇 roberto zafalon
4 篇 kaushik saha
4 篇 luigi patrono

语言

216 篇 英文
4 篇 中文

检索条件"机构=STMicroelectronics - Advanced System Technology"

共 220 条记录，以下是1-10 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：

Blockchain technology based on algorand applied to low-power and low-cost IoT devices 6

Blockchain technology based on algorand applied to low-power...

引用

6th International Conference on Smart and Sustainable Technologies, SpliTech 2021

作者： Montanaro, Teodoro Sergi, Ilaria Corvaglia, Salvatore Mainetti, Luca Vilei, Antonio Rossi, Beatrice Palmieri, Andrea Patrono, Luigi. University of Salento Dept. of Engineering for Innovation Lecce Italy Advanced System Technology STMicroelectronics Lecce Italy

ISBN: (纸本)9789532901122

Thanks to the ever-increasing number of connected, innovative and smart objects that have been adopted since now in almost every sector, the Internet of Things is transforming people lives. Nonetheless, one of the major challenges encountered by practitioners and experts every day is related to cybersecurity and the need of protecting collected information at all the levels of IoT ecosystems. Unfortunately, also due to the growing number of connected devices, data security has become extremely complex. One of the revolutionary technologies that has the potential to address such needs and, also, support privacy and scalability is the Blockchain. Among the various existing Blockchains present in literature and in the market, Algorand is emerging as one of the most promising technologies for the IoT due to its intrinsic self-sustaining and decentralized nature. This paper discusses preliminary results obtained in the adoption of the Algorand Blockchain in two of the most spread low-powered IoT devices such as the Raspberry Pi 4 Model B and the stmicroelectronics STM32MP157A-DK1. © 2021 University of Split, FESB.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Reducing Complexity of 3D Indoor Object Detection 4

Reducing Complexity of 3D Indoor Object Detection

引用

4th IEEE International Forum on Research and Technologies for Society and Industry, RTSI 2018

作者： Maisano, Roberta Tomaselli, Valeria Capra, Alessandro Longo, Francesco Puliafito, Antonio Messina Italy STMicroelectronics Advanced System Technology Catania Italy

ISBN: (纸本)9781538662823

This work deals with the problem of amodal perception of 3D object detection in indoor environments. We revisited a novel method of 3D object detection [4], in terms of complexity and runtime speed. 3D detection regards not only objects localization in the 3D world, but also estimating their physical sizes and poses, even if only parts of them are visible in the RGB-D image. By following the 2.5D representation approach, the system under study achieves a better mean average precision in detection (40.1%) with respect to all recent methods, but the complexity of the system is very high and, at the moment, its implementation doesn't fit in a small device with low resources in memory and computation. We revisited the referenced system through a variation in its network architecture by introducing a well-adapted and 'fine-tuned' MobileNet from Google, with the goal of reducing the complexity of the whole system. Considerable reduction in complexity, computational cost (MAC operations) and memory requirements have been achieved. Many detected classes showed an acceptable level of accuracy and also the speed of the recognition system increased. Final experiments have been conducted on NYUV2 dataset. © 2018 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Embedded Real-Time Fall Detection with Deep Learning on Wearable Devices

Embedded Real-Time Fall Detection with Deep Learning on Wear...

引用

Euromicro Symposium on Digital system Design

作者： Emanuele Torti Alessandro Fontanella Mirto Musci Nicola Blago Danilo Pau Francesco Leporati Marco Piastra Department of Electrical University of Pavia Pavia Italy Advanced System Technology STMicroelectronics Agrate Brianza Italy

ISBN: (纸本)9781538673782

Unintentional falls are the leading cause of fatal injuries and nonfatal trauma among older adults. An automated monitoring system that detects occurring falls and issues remote notifications will prove very valuable for improving the level of care that could be provided to people at higher risk. The work presented focuses on the design of embedded software for wearable devices that are connected in wireless mode to a remote monitoring system. The work focuses on the implementation of recurrent neural networks (RNNs) architectures of micro controller units (MCU) for fall detection with tri-axial accelerometers. A few general formulas for determining memory, computing power and power consumption for such architectures are presented. These formulas have been validated with an actual implementation for the SensorTile device by stmicroelectronics.

关键词： Training Accelerometers Computer architecture Sensors Real-time systems Machine learning Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Rapid Prototyping of a Star Topology Network based on Bluetooth Low Energy technology

Rapid Prototyping of a Star Topology Network based on Blueto...

引用

International Multidisciplinary Conference on Computer and Energy Science (SpliTech)

作者： Silvio Lucio Oliva Andrea Palmieri Lorenzo Invidia Luigi Patrono Piercosimo Rametta Advanced System Technology STMicroelectronics Lecce Italy Dept. of Innovation Engineering University of Salento Lecce Italy

ISBN: (纸本)9781538662960

The ever-growing number of smart devices enabling the Internet of Things (IoT) in several contexts demands for the availability of a set of tools, both hardware and software, allowing end-users to fast prototype applications for different scenarios. This work presents an implementation of a star topology network based on the Bluetooth Low Energy (BLE) protocol, exploiting the ST's STM32 Open Development Environment (ODE). It setups a simple sensor network whose central node collects data from several peripheral nodes and forwards them to an iOS/Android smartphone application, where data are visualized.

关键词： Hardware Network topology Topology Bluetooth Wireless sensor networks Software Advertising

来源：评论

学校读者我要写书评

暂无评论

COSSIM: An Open-Source Integrated Solution to Address the Simulator Gap for systems of systems

COSSIM: An Open-Source Integrated Solution to Address the Si...

引用

Euromicro Symposium on Digital system Design

作者： Andreas Brokalakis Nikolaos Tampouratzis Antonios Nikitakis Ioannis Papaefstathiou Stamatis Andrianakis Danilo Pau Emanuele Plebani Marco Paracchini Marco Marcon Ioannis Sourdis Prajith Ramakrishnan Geethakumari Maria Carmen Palacios Miguel Angel Anton Attila Szasz Synelixis Solutions Ltd Chalkida Greece Telecommunications Systems Institute Technical University of Crete Greece Advanced System Technology STMicroelectronics Agrate Brianza Italy Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Italy CSE Department Chalmers University of Technology Gothenburg Sweden Tecnalia Research and Innovation San Sebastian Spain SEARCH-LAB Budapest Hungary

In an era of complex networked heterogeneous systems, simulating independently only parts, components or attributes of a system under design is not a viable, accurate or efficient option. The interactions are too many and too complicated to produce meaningful results and the optimization opportunities are severely limited when considering each part of a system in an isolated manner. The presented COSSIM simulation framework is the first known open-source, high-performance simulator that can handle holistically system-of-systems including processors, peripherals and networks; such an approach is very appealing to both CPS/IoT and Highly Parallel Heterogeneous systems designers and application developers. Our highly integrated approach is further augmented with accurate power estimation and security sub-tools that can tap on all system components and perform security and robustness analysis of the overall networked system. Additionally, a GUI has been developed to provide easy simulation set-up, execution and visualization of results. COSSIM has been evaluated using real-world applications representing cloud (mobile visual search) and CPS systems (building management) demonstrating high accuracy and performance that scales almost linearly with the number of CPUs dedicated to the simulator.

关键词： Tools Computational modeling Mathematical model Security Cloud computing Software Protocols

来源：评论

学校读者我要写书评

暂无评论

Visual Search of multiple objects from a single query

Visual Search of multiple objects from a single query

引用

IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Marco Paracchini Marco Marcon Emanuele Plebani Danilo Pietro Pau DEIB - Dipartimento di Elettronica Politecnico di Milano Milano Italy Advanced System Technology STMicroelectronics Agrate Brianza Italy

Hundreds of millions of images are uploaded to the cloud every day. Innovative applications able to analyze and extract efficiently information from such a big database are needed nowadays more than ever. Visual Search is an application able to retrieve information of a query image comparing it against a large image database. In this paper a Visual Search pipeline implementation is presented able to retrieve multiple objects depicted in a single query image. Quantitative and qualitative precision results are shown on both real and synthetic datasets.

关键词： Visualization Pipelines Databases Feature extraction Image coding Servers Mobile handsets

来源：评论

学校读者我要写书评

暂无评论

Reduced memory region based deep Convolutional Neural Network detection

Reduced memory region based deep Convolutional Neural Networ...

引用

IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Denis Tomé Luca Bondi Luca Baroffio Stefano Tubaro Emanuele Plebani Danilo Pau Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milano Italy Advanced System Technology STMicroelectronics Agrate Brianza Italy

Accurate pedestrian detection has a primary role in automotive safety: for example, by issuing warnings to the driver or acting actively on cars brakes, it helps decreasing the probability of injuries and human fatalities. In order to achieve very high accuracy, recent pedestrian detectors have been based on Convolutional Neural Networks (CNN). Unfortunately, such approaches require vast amounts of computational power and memory, preventing efficient implementations on embedded systems. This work proposes a CNN-based detector, adapting a general-purpose convolutional network to the task at hand. By thoroughly analyzing and optimizing each step of the detection pipeline, we develop an architecture that outperforms methods based on traditional image features and achieves an accuracy close to the state-of-the-art while having low computational complexity. Furthermore, the model is compressed in order to fit the tight constrains of low power devices with a limited amount of embedded memory available. This paper makes two main contributions: (1) it proves that a region based deep neural network can be finely tuned to achieve adequate accuracy for pedestrian detection (2) it achieves a very low memory usage without reducing detection accuracy on the Caltech Pedestrian dataset.

关键词： Proposals Neural networks Detectors Pipelines Feature extraction Quantization (signal) Random access memory

来源：评论

学校读者我要写书评

暂无评论

Accurate omnidirectional multi-camera embedded structure from motion

Accurate omnidirectional multi-camera embedded structure fro...

引用

IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)

作者： Marco Paracchini Angelo Schepis Marco Marcon Mirko Falchetto Emanuele Plebani Danilo Pau DEIB - Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milan Italy Advanced System Technology STMicroelectronics Agrate Brianza Italy

ISBN: (纸本)9781509011322

Trajectory estimation and 3D scene reconstruction from multiple cameras (also referred as Structure from Motion, SfM) will have a central role in the future of automotive industry. Typical appliance fields will be: autonomous navigation/guidance, collisions avoidance against static or moving objects (in particular pedestrians), parking assisted maneuvers and many more. The work exposed in this paper had mainly two different goals: (1) to describe the implementation of a real time embedded SfM modular pipeline featuring a dedicated optimized HW/SW system partitioning. It included also nonlinear optimizations such as local and global bundle adjustment at different stages of the pipeline; (2) to demonstrate quantitatively its performances on a synthetic test space specifically designed for its characterization. In order to make the system reliable and effective, providing the driver or the autonomous vehicle with a prompt response, the data rates and low latency of the 5G communication systems appear to make this choice the most promising communication solution.

关键词： Cameras Three-dimensional displays Pipelines Automobiles Industries Visualization

来源：评论

学校读者我要写书评

暂无评论

Training an object detector using only positive samples 1

Training an object detector using only positive samples

引用

1st IEEE International Workshop on Consumer Electronics - Novi Sad, CE WS 2015

作者： Plebani, Emanuele Celona, Luigi Pau, Danilo Karimi, Pegah Marcon, Marco Advanced System Technology STMicroelectronics Agrate Brianza Italy Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Milano Italy

ISBN: (纸本)9781509042685

Accurate pedestrian detection has an important role in automotive applications because, by issuing warnings to the driver and acting actively on the car brakes, it can save human lives and decrease the probability of injuries. In order to achieve adequate accuracy, detectors require training sets containing a very large number of negative samples, which can be challenging for the training algorithms of models like support vector machines (SVM). A common approach to deal with such large datasets is Hard Negative Mining (HNM), which avoids working on the full set by growing an active pool of mined samples. A more recent method is the Block-Circulant Decomposition, which achieves the accuracy of HNM at a lower computational cost by reformulating the problem in the Fourier domain. The method however results in additional memory, required during training by the FFT transform, which could be reduced significantly by using only the positive examples. To address the problem, this paper proposes two main contributions: (1) it shows that the circulant decomposition method works with the same performances when only the positive samples are used in the training phase (2) it compares the performance of a detection pipeline based on HOG features trained with either both all negative and positive samples or with only positive samples on the INRIA pedestrian dataset. © 2015 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Tampering detection in low-power smart cameras 16th

Tampering detection in low-power smart cameras

引用

16th International Conference on Engineering Applications of Neural Networks, EANN 2015

作者： Gaibotti, Adriano Marchisio, Claudio Sentinelli, Alexandro Boracchi, Giaco Mo STMicroelectronics Advanced System Technology Via Camillo Olivetti 2 Agrate BrianzaMB20864 Italy Politecnico di Milano Via Ponzio 34/5 MilanoMI20133 Italy

ISBN: (纸本)9783319239811

A desirable feature in smart cameras is the ability to autonomously detect any tampering event/attack that would prevent a clear view over the monitored scene. No matter whether tampering is due to atmospheric phenomena (e. g., few rain drops over the camera lens) or to malicious attacks (e. g., occlusions or device displacements), these have to be promptly detected to possibly activate countermeasures. Tampering detection is particularly challenging in battery-powered cameras, where it is not possible to acquire images at full-speed frame-rates, nor use sophisticated image-analysis algorithms. We here introduce a tampering-detection algorithm specifically designed for low-power smart cameras. The algorithm leverages very simple indicators that are then monitored by an outlier-detection scheme: any frame yielding an outlier is detected as tampered. Core of the algorithm is the partitioning of the scene into adaptively defined regions, that are preliminarily defined by segmenting the image during the algorithm configuration phase, and which shows to improve the detection of camera displacements. Experiments show that the proposed algorithm can successfully operate on sequences acquired at very low-frame rate, such as one frame every minute, with a very small computational complexity. © Springer International Publishing Switzerland 2015.

关键词： Cameras

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22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：