检索结果-内蒙古大学图书馆

2018 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2018

作者： Peng, Kang-Chun Lin, Chiu-Chin Li, Cyuan-Fong Hung, Cheng-Yuan Hsieh, Yu-Sung Dep. of Computer and Communication Engineering National Kaohsiung Univ. of Science and Technology Kaohsiung Taiwan Opto-electronics Equipment Department Metal Industries Research Development Center Kaohsiung Taiwan

ISBN: (纸本)9781538648346

This work develops a compact 9 GHz microwave imaging system. The core of the system is a vector network analyzer (VNA) which utilizes range-correlation architecture to suppress the phase noise of the received signal. To overcome the bottleneck that conventional mixer-based phase detectors have limited phase detection range, a novel quadrature phase detection algorithm is proposed. The experimental results show that the microwave imaging system can well detect the bone image of a chicken wing. © 2018 IEEE.

关键词： Signal detection

来源：评论

学校读者我要写书评

暂无评论

The price of interpretability

arXiv

引用

arXiv 2019年

作者： Bersimas, Dimitris Jaillet, Patrick Delarue, Arthur Martin, Sebastien Sloan School of Management Massachusetts Institute of Technology CambridgeMA02139 United States Dep. of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Operations Research Center Massachusetts Institute of Technology CambridgeMA02139 United States

When quantitative models are used to support decision-making on complex and important topics, understanding a model's "reasoning" can increase trust in its predictions, expose hidden biases, or reduce vulnerability to adversarial attacks. However, the concept of interpretability remains loosely defined and application-specific. In this paper, we introduce a mathematical framework in which machine learning models are constructed in a sequence of interpretable steps. We show that for a variety of models, a natural choice of interpretable steps recovers standard interpretability proxies (e.g., sparsity in linear models). We then generalize these proxies to yield a parametrized family of consistent measures of model interpretability. This formal definition allows us to quantify the "price" of interpretability, i.e., the tradeoff with predictive accuracy. We demonstrate practical algorithms to apply our framework on real and synthetic datasets. Copyright © 2019, The Authors. All rights reserved.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

A comparative study to obtain an adequate model in prediction of electricity requirements for a given future period

A comparative study to obtain an adequate model in predictio...

引用

International Conference on Engineering technology and their Applications (IICETA)

作者： Maysaa Abd Ulkareem Wid Akeel Awadh Ali Salah Alasady Dep. of Computer Information System College of Computer Science and Information Technology University of Basrah Iraq

ISBN: (纸本)9781538678596

Recent years have seen an increasing interest in providing accurate prediction models for electrical energy consumption. In Smart Grids, energy consumption optimization is critical to enhance power grid reliability, and avoid supply-demand mismatches. Additional economic and environmental benefits can be obtained if a proper and reliable description and forecast of energy absorption is available. This research presents fits for neural network model, and comparative resulting forecasts with those obtained from Box- Jenkins Method. We use time series data of monthly electrical energy consumption, into Basra city (Iraq) from 2007-2016, to perform a comparative. The result of the data analysis show that the proper and efficient model for representing time series data is the multiplicative seasonal model of order: SARIMA (3, 1, 3) × (0, 1, 1). According to this model the Research forecast the monthly electricity consumption for January 2017 to December 2018. As for application, Box-Jenkins Method has given more appropriate forecasts than those given by Back propagation artificial neural network. We used Minitab program in the statistical aspect and Alyuda program in the neural network aspect.

关键词： Time series analysis Correlation Autoregressive processes Artificial neural networks Neurons Data models Market research

来源：评论

学校读者我要写书评

暂无评论

A Load Balancing Algorithm for Resource Allocation in IEEE 802.15.4e Networks

A Load Balancing Algorithm for Resource Allocation in IEEE 8...

引用

2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018

作者： Kralevska, Katina Dimitrios Vergados, J. Jiang, Yuming Michalas, Angelos Dep. of Information Security and Communication Technology NTNU Norwegian University of Science and Technology Norway School of Electrical and Computer Engineering National Technical University of Athens Greece Department of Informatics Engineering Technological Education Institute of Western Macedonia Kastoria Greece

ISBN: (纸本)9781538632277

The recently created IETF 6TiSCH working group combines the high reliability and low-energy consumption of IEEE 802. 15.4e Time Slotted Channel Hopping with IPv6 for industrial Internet of Things. We propose a distributed link scheduling algorithm, called Local Voting, for 6TiSCH networks that adapts the schedule to the network conditions. The algorithm tries to equalize the link load (defined as the ratio of the queue length over the number of allocated cells) through cell reallocation. Local Voting calculates the number of cells to be added or released by the 6TiSCH Operation Sublayer 6top. Compared to a representative algorithm from the literature, Local Voting provides simultaneously high reliability and low end-to-end latency while consuming significantly less energy. Its performance has been examined and compared to On-the- fly algorithm in 6TiSCH simulator by modeling an industrial environment with 50 sensors. © 2018 IEEE.

关键词： Resource allocation

来源：评论

学校读者我要写书评

暂无评论

Implementation of Go language to calculate ground state energy of atoms based on Density Functional Theory (DFT)

引用

Journal of Physics: Conference Series 2020年第1期1445卷

作者： Lafitiara Gita Arisha Enggar Alfianto Febdian Rusydi Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of Computer System Institut Teknologi Adhi Tama Surabaya Jl Arif Rachman Hakim 100 Surabaya Indonesia.60111

This study is using Go programming language that support parallel programming for numerical calculation. The program was created is designed for calculate ground-state energy of electron, which is based on Density Functional Theory (DFT). The basic mathematics of this program is using many basic concept of numerical mathematics (matrix calculation, Poisson solver, and standard routine of numerical mathematics).

关键词：

来源：评论

学校读者我要写书评

暂无评论

A case of industrial vs. Open-source OCL: Not so different after all

A case of industrial vs. Open-source OCL: Not so different a...

引用

2017 MODELS Satellite Event: Workshops (ModComp, ME, EXE, COMMitMDE, MRT, MULTI, GEMOC, MoDeVVa, MDETools, FlexMDE, MDEbug), Posters, Doctoral Symposium, Educator Symposium, ACM Student Research Competition, and Tools and Demonstrations, MODEL-SSE 2017

作者： Mengerink, Josh G.M. Noten, Jeroen Schiffelers, Ramon R.H. Van Den Brand, Mark G.J. Serebrenik, Alexander Dep. Mathematics and Computer Science Eindhoven University of Technology Netherlands

When studying model-driven engineering (MDE) in industry, generalization of studies is often hard, as most artifacts are proprietary and confidential in nature. A possible solution would be to study open-source artifacts. However, open-source artifacts are not necessarily representative for those found in the industry. As the first step towards investigating the viability of open-source MDE artifacts as an alternative to less accessible industrial ones, we use a large open-source dataset and several industrial meta-models to show that the complexity of OCL expressions in open-source and industry is similar.

关键词： Open source software

来源：评论

学校读者我要写书评

暂无评论

Big Data from Space for Precision Agriculture Applications

引用

IOP Conference Series: Earth and Environmental science 2020年第1期509卷

作者： F Bovolo L Bruzzone D Fernández-Prieto C Paris Y T Solano-Correa E Volden M Zanetti Fondazione Bruno Kessler Center for Information and Communication Technology Trento Italy Dep. of Information Engineering and Computer Science University of Trento Trento Italy European Space Agency (ESA) ESRIN Frascati Italy

This paper presents an approach for precision agriculture large scale applications based on the analysis of big data consisting in Satellite Image Time Series (SITS) acquired by ESA Sentinel-2 (S2) satellite constellation. The approach has been developed in the framework of the ESA SEOM - Scientific Exploitation of Operational Missions - S2-4Sci Land and Water project [1]. To focus only on agricultural areas, images are first filtered based on a land cover (LC) map that is generated by updating available old maps by means of recent images. Then S2 SITS are used to analyse agricultural areas. Two macro challenges are therefore considered: (i) automatic update of LC maps and generation of agricultural areas mask; and (ii) unsupervised multi-temporal (MT) fine characterization of land plots.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Network traffic driven storage repair

arXiv

引用

arXiv 2018年

作者： Gligoroski, Danilo Kralevska, Katina Jensen, Rune E. Simonsen, Per Dep. of Information Security and Communication Technology NTNU Norwegian University of Science and Technology Department of Computer Science NTNU Norwegian University of Science and Technology MemoScale AS Norway

Recently we constructed an explicit family of locally repairable and locally regenerating codes. Their existence was proven by Kamath et al. but no explicit construction was given. Our design is based on HashTag codes that can have different sub-packetization levels. In this work we emphasize the importance of having two ways to repair a node: repair only with local parity nodes or repair with both local and global parity nodes. We say that the repair strategy is network traffic driven since it is in connection with the concrete system and code parameters: the repair bandwidth of the code, the number of I/O operations, the access time for the contacted parts and the size of the stored file. We show the benefits of having repair duality in one practical example implemented in Hadoop. We also give algorithms for efficient repair of the global parity nodes. Copyright © 2018, The Authors. All rights reserved.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Design Monitoring Electrical Power Consumtion at computer Cluster

引用

Journal of Physics: Conference Series 2020年第1期1445卷

作者： Alfianto, Enggar Agustini, Siti Muharom, Syahri Rusydi, Febdian Puspitasari, Ira Department of Computer System Institut Teknologi Adhi Tama Surabaya Jl. Arief Rachman Hakim No 100 Surabaya Indonesia Electrical Engineering Department Institut Teknologi Adhi Tama Surabaya Jl. Arief Rachman Hakim No 100 Surabaya Indonesia Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of the information system Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115

Electricity is one of the basic needs in the era of technological development, where all equipment must use electricity to operate such as computer, so that it requires a system that can monitor power consumption at computer cluster. To monitoring power consumption using WCS1800 to current sensor and microcontroller Atmega32 to data sensor process, and serial communication to send data to display at personal computer. From test system having two result, first is power consumption at computer cluster starting, where current value range is 0 to 38A with power consumption is 0 to 8360 watt. And second is power consumtion at computer cluster execution progran, current value is 27 to 40 A, with power consumption 5940 to 8800 watt. From this system has been design, the power consumption at computer cluster can be monitored and known value of energy consumption.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Motion Analysis on dep.h Camera Data to Quantify Parkinson’s Disease Patients’ Motor Status Within the Framework of I-Prognosis Personalized Game Suite

Motion Analysis on Depth Camera Data to Quantify Parkinson’...

引用

IEEE International Conference on Image Processing

作者： Sofia B. Dias Athina Grammatikopoulou Nikos Grammalidis José A. Diniz Theodore Savvidis Evdokimos Konstantinidis Panagiotis Bamidis Michael Stadtschnitzer Dhaval Trivedi Lisa Klingelhoefer Zoe Katsarou Sevasti Bostantzopoulou Kosmas Dimitropoulos Leontios J. Hadjileontiadis CIPER Faculdade de Motricidade Humana Universidade de Lisboa Lisbon Portugal Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Lab of Medical Physics Aristotle University of Thessaloniki (AUTH) Thessaloniki Greece Sankt Augustin Fraunhofer Institute IAIS Germany International Parkinson Excellence Research Centre King’s College Hospital NHS Foundation Trust London United Kingdom Department of Neurology Technical University Dresden Dresden Germany Third Neurological Clinic G. Papanikolaou Hospital AUTH Thessaloniki Greece Dep. of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAE

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

The primary manifestations of Parkinson Disease (PD) concern abnormalities of movement associated with the constant deterioration of motor skills. Such motor impairment affects patients' movement accuracy and coordination, disrupting their daily life. Taking into account recent studies stating that computer-based physical therapy games can be used as a PD rehabilitation option, we propose a novel Exergame, the iPrognosis Warming up Game (http://***/), as a user-friendly tool that could both serve as a computer-based physical therapy game, as well as a means of accurately and automatically identifying the severity of PD motor symptoms. To this regard, we propose a novel deep learning methodology for motor impairment stage prediction that relies solely on human body motion data extracted from the recorded game sessions. Experimental results using a dataset of both early and advanced PD patients reveal a good classification performance of the proposed methodology, predicting the motor impairment stage of PD patients and paving the way for additional research in the field.

关键词： Cameras Parkinson's disease Games Physics Indexes Predictive models

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：