检索结果-内蒙古大学图书馆

Towards an ultrafast 3D imaging scanning LiDAR system:a review

Photonics Research 2024年第8期12卷 1709-1729页

作者： ZHI LI YAQI HAN LICAN WU ZIHAN ZANG MAOLIN DAI SZE YUN SET SHINJI YAMASHITA QIAN LI H.Y.FU Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China Department of Electrical Engineering and Information Systems The University of TokyoTokyo 113-8656Japan Research Center for Advanced Science and Technology The University of TokyoTokyo 153-8904Japan School of Electronic and Computer Engineering Peking UniversityShenzhen 518055China

Light detection and ranging(LiDAR),as a hot imaging technology in both industry and academia,has undergone rapid innovation and *** current mainstream direction is towards system miniaturization and *** are many metrics that can be used to evaluate the performance of a LiDAR system,such as lateral resolution,ranging accuracy,stability,size,and *** recently,with the continuous enrichment of LiDAR application scenarios,the pursuit of imaging speed has attracted tremendous research ***,for autonomous vehicles running on motorways or industrial automation applications,the imaging speed of LiDAR systems is a critical *** this review,we will focus on discussing the upper speed limit of the LiDAR *** on the working mechanism,the limitation of optical parts on the maximum imaging speed is *** beam scanner has the greatest impact on imaging *** provide the working principle of current popular beam scanners used in LiDAR systems and summarize the main constraints on the scanning ***,we highlight the spectral scanning LiDAR as a new paradigm of ultrafast ***,to further improve the imaging speed,we then review the parallel detection methods,which include multiple-detector schemes and multiplexing ***,we summarize the LiDAR systems with the fastest point acquisition rate reported *** the outlook,we address the current technical challenges for ultrafast LiDAR systems from different aspects and give a brief analysis of the feasibility of different approaches.

关键词： LiDAR scanner system

来源：评论

学校读者我要写书评

暂无评论

Improving the Performance of K-Nearest Neighbor Algorithm by Reducing the Attributes of Dataset Using Gain Ratio 4

Improving the Performance of K-Nearest Neighbor Algorithm by...

引用

4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019

作者： Hasdyna, N. Sianipar, B. Zamzami, E.M. Graduate Program of Computer Science Universitas Sumatera Utara Medan20155 Indonesia Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan20155 Indonesia

Data that has many attributes or higher dimensions will affect the performance of the K-NN classification algorithm. In this study, the Gain Ratio implemented for selecting and reducing the dataset attributes to form a new dataset for the classification process is carried out with the K-NN. The dataset used in this study are the Breast Cancer Coimbra dataset and Hepatitis C Virus dataset obtained from the UCI Machine Learning Repository. The results showed that the Breast Cancer Coimbra dataset, Gain Ratio can improve the performance of K-NN with average value 0.535596 TPR, TNR = 1, NPV = 0.608279, FNR = 1, FOR = 0.391721, Accuracy = 72.85%. In Hepatitis C Virus dataset also managed to improve the performance of K-NN with average value TPR = 0.665596, TNR = 0,876667, NPV=0,738279, FNR=0,88, FOR=0,521721, and Accuracy=86,25%. © Published under licence by IOP Publishing Ltd.

关键词： Nearest neighbor search

来源：评论

学校读者我要写书评

暂无评论

Performance Enhancement of Stream-Based Decompression Process by Notifying Compression Buffer Size

Performance Enhancement of Stream-Based Decompression Proces...

引用

IEEE Symposium on computers and Communications (ISCC)

作者： Taiki Kato Shinichi Yamagiwa Koichi Marumo Master's Program in Computer Science Degree Program in Systems and Information Engineering University of Tsukuba Tsukuba Ibalaki Japan Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Ibalaki Japan

This paper focuses on a performance enhancement of communication performance by compressing data stream. ASE coding is an effective lossless data compression method for data stream. The software implementation of the coding/decoding method inevitably meets a performance mismatch in memory and storage devices. In the compressor side, it is predictable to decide the size of an original data block and is available to process a flexible buffer memory. However, the decompressor is not able to predict the buffer size because the original data size is not obvious before the decompression. This causes a performance mismatch in the filesystem level. This paper proposes a novel method to address the performance mismatch by applying a notification mechanism of compression size from the compressor. This paper describes the mechanism focusing on the system call usage. Through experimental evaluations, we show the performance improvement of the decompression performance for handling data stream.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Toward Parallelization Technique for Stream-based Lossless Data Compression

Toward Parallelization Technique for Stream-based Lossless D...

引用

IEEE International Conference on Big Data

作者： Taiki Kato Shinichi Yamagiwa Koichi Wada Master’s Program in Computer Science Degree Program in Systems and Information Engineering University of Tsukuba Tsukuba Ibalaki Japan Faculty of Engineering Information and Systems University of Tsukuba Tsukuba Ibalaki Japan

IoT edge platform has become popular in various distributed environments. The edge devices need to communicate BigData among them or with the cloud servers by collaborating with AI technologies for finding events from the applications. Those devices exchange data streams from such as distributed sensors and remote image/video devices. We focus on an acceleration technique for the communication performance using a stream-based lossless data compression technology. This paper proposes a parallelization technique for the compression process in a software environment running on a multicore processor. The technique invokes concurrent compression processes assigned to multiple threads with splitting a data stream to chunks. The paper exposes three scheduling methods for assigning the chunks to the threads: in-order, hybrid and out-of-order. As an original data order of chunks must be obtained in decompression side, the proposed technique introduces packeting mechanisms in each chunk by adding headers to support the scheduling methods. Through experimental performance evaluations, we discuss the packeting overhead focusing on compression ratio and speedup by the parallelization with three scheduling methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Development of a Model for Discriminating Electroencephalograms of Patients with Mild Cognitive Impairment and Healthy Individuals Using a Support Vector Machine

Development of a Model for Discriminating Electroencephalogr...

引用

International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Akifumi Tanabe Kyosuke Nakatani Kento Harachi Yusuke Yamamoto Ayumi Muramatsu Hajime Nagahara Noriko Takemura Shinji Shimojo Daisuke Furihata Yuko Mizuno-Matsumoto Kazue Kamae-Shigenobu Kazuhiro Shinosaki Graduate School of Information Science University of Hyogo Kobe Japan School of Life Science and Technology Tokyo Institute of Technology Yokohama Japan Department of Medical Engineering Aino University Ibaraki Japan Institute for Datability Science Osaka University Suita Japan Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan Faculty of Software and Information Technology Aomori University Aomori Japan Cyber media center Osaka University Suita Japan Asakayama General Hospital Sakai Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

We performed machine learning using spectrum analysis and power spectra of electroencephalograms (EEGs) of patients with mild cognitive impairment (MCI). Spectrum analysis was performed on the EEGs of MCI patients and healthy individuals, and the power spectrum values of the two groups were calculated and compared. Based on the power spectrum values of the theta and alpha bands, models for discriminating MCI patients were created using a support vector machine (SVM), and their accuracies were compared. In the spectrum analysis, the theta band showed significantly higher power spectrum values in the MCI group. In the comparison of the accuracies of SVM models, the model using the theta band showed higher values in parameters, such as accuracy rate. These results suggested that the power spectrum values of the theta band are useful for discriminating MCI patients.

关键词： Support vector machines Electrodes Analytical models Accuracy Machine learning Brain modeling Electroencephalography Vectors Spectral analysis

来源：评论

学校读者我要写书评

暂无评论

Ontology patterns for function modeling with GFO 42

Ontology patterns for function modeling with GFO

引用

42nd International Conference on Conceptual Modeling: ER Forum, 7th Symposium on Conceptual Modeling Education, SCME 2023, Project Exhibitions, Posters and Demos, and Doctoral Consortium, ER-Companion 2023

作者： Burek, Patryk Loebe, Frank Herre, Heinrich Polish-Japanese Academy of Information Technology Faculty of Computer Science ul. Koszykowa 86 Warsaw02-008 Poland Leipzig University ScaDS.AI Dresden/Leipzig Humboldtstrasse 25 Leipzig04105 Germany Haertelstrasse 16-18 Leipzig04107 Germany

Function modeling is a relevant aspect of many branches of conceptual modeling as well as in ontology engineering. In the current paper we briefly outline the results provided in the framework of the General Formal Ontology to support the modeling of functions. We report on work in progress on the development of OWL ontologies serving as ontology patterns for modeling functions. © 2023 CEUR-WS. All rights reserved.

关键词： function modeling functional decomposition ontology patterns Web Ontology Language (OWL)

来源：评论

学校读者我要写书评

暂无评论

Automatic Parallel Tiled Code Generation Based on Dependence Approximation 1

引用

16th International Conference on Parallel Computing Technologies, PaCT 2021

作者： Bielecki, Wlodzimierz Poliwoda, Maciej Faculty of Computer Science and Information Systems West Pomeranian University of Technology in Szczecin Zolnierska 49 Szczecin71210 Poland

ISBN: (数字)9783030863593

ISBN: (纸本)9783030863586

The paper results concern automatic parallel program generation based on a program dependence approximation technique. Dependence approximation allows us to directly form linear time partition constraints necessary for extracting loop nest statement instance schedules to be used for parallel tiled code generation. The proposed approach was implemented in the publicly available DAPT optimizing compiler, which takes on its input the C program and automatically generates parallel tiled code in the OpenMP C/C++ standard. Empirically, we discovered that for some dynamic programming codes, DAPT generates tiled code whose tiles are of a larger dimension than that of tiles yielded with popular closely related optimizing compilers based on Farkas’ lemma. This allows us to considerably increase code locality for such applications. © 2021, Springer Nature Switzerland AG.

关键词： Dynamic programming

来源：评论

学校读者我要写书评

暂无评论

UAV-Based Optimization for Fruit Counting in Greenhouses

UAV-Based Optimization for Fruit Counting in Greenhouses

引用

International Conference on Unmanned Aircraft Systems (ICUAS)

作者： João Vítor R. Vasconcelos Thayron M. Hudson André G. dos Santos Martin Saska Alexandre S. Brandão Department of Electrical Engineering Núcleo de Especialização em Robótica Graduate Program on Computer Science Federal Univer-sity of Vicosa Vicosa MG Brazil Graduate Program on Computer Science Federal University of Vicosa Vicosa MG Brazil Department of Cybernetics Multi-robot Systems Group Faculty of Electrical Engineering Czech Technical University in Prague Czech Republic

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

This paper presents a solution for counting fruit in agricultural greenhouses using Unmanned Aerial Vehicles (UAV s). Initially, a heuristic based on Simulated Annealing was used to optimize the UAV's trajectory, ensuring efficient coverage of the beds. Next, digital image processing (DIP) techniques were implemented to count the fruit, including depth segmentation, application of bounding boxes, color filtering, and element counting. The DIP accuracy was evaluated in multiple scenarios and the results indicate high reliability in fruit counting, with the potential to optimize agricultural operations and provide valuable information to producers. Possible future improvements could include further refinements in image processing to increase the accuracy of counting other fruits. Ultimately, this work contributes to the advancement of automation in agriculture by offering a viable and efficient solution for counting fruit in greenhouses using UAV s.

关键词： Image segmentation Accuracy Image color analysis Greenhouses Simulated annealing Autonomous aerial vehicles Trajectory

来源：评论

学校读者我要写书评

暂无评论

The Impact of Recommendation System Provided Based on Online Learning Readiness in the MOOC Environment

The Impact of Recommendation System Provided Based on Online...

引用

information technology (ACIT)

作者： Dina Fitria Murad Mohamad Toha Hendra Mayatopani Meta Amalya Dewi Riyan Leandros Silvia Ayunda Murad Yaya Heryadi Bambang Dwi Wijanarko Information Systems Department Binus Online Learning Bina Nusantara University Jakarta Indonesia Universitas Terbuka Jakarta Indonesia Department of Information System Pradita University Tangerang Indonesia Computer Science Department BINUS Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia School of Computer Science Bina Nusantara University Jakarta Indonesia

MOOCs are one of the developments or impacts of e-learning or online learning. Massive Open Online Course (MOOC) is one of the choices for students to increase their knowledge through non-formal channels. Our research aims to determine the level of readiness of students regarding MOOC learning and opportunities for utilizing recommendation systems in students' decision-making regarding selecting MOOCs that suit their interests and needs. We conducted a survey regarding the constraints and needs of learner readiness through 5 aspects, namely 1) technical aspect, (2) social aspect, (3) communication aspect, (4) lecture readiness aspect, and (5) online discussion. The results of this research show that the main challenges that MOOC participants may face in a MOOC environment are Technical Aspects (28.25%), Social Aspects (21.47%), and Communication Aspects (18.93%). Meanwhile, the greatest strength of online learning in the MOOC environment is the social aspect (21%), the most influential and continued with technical and other aspects. Meanwhile, the lecture readiness aspect is quite good, and the online discussion aspect is the biggest aspect that influences the success of MOOC learning. Other results of this research indicate the importance of a recommendation system for MOOC students to make it easier for students to choose the right MOOC according to their interests and needs.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic benign and malignant estimation of bone tumors using deep learning 5

Automatic benign and malignant estimation of bone tumors usi...

引用

5th IEEE International Conference on Cybernetics, CYBCONF 2021

作者： Furuo, Kaito Morita, Kento Hagi, Tomohito Nakamura, Tomoki Wakabayashi, Tetsushi Mie University Computer and Information Science Faculty of Engineering Japan Mie University Graduate School of Medicine Depautment of Orthopaedic Surgery Japan

ISBN: (纸本)9781665403207

The bone tumor causes the bone pain and swelling, and is firstly diagnosed in a local hospital in many cases. This has become a problem in recent years, and also the benign and malignant nature of bone tumors is difficult and requires a great deal of effort even for medical specialists. Therefore, the development of a system to automatically estimate the benign or malignant nature of bone tumors is required. In this study, we propose a method for automatically estimating the benignity or malignancy of bone tumors using deep learning. We fine-tuned VGG16 and ResNet152 trained on ImageNet using image patches extracted from 38 plain X-ray images of 3 patients. Results on patch-level classification showed that VGG16 achieved higher estimation accuracy (f1-score of 0.790) than ResNet152 (f1-score of 0.784). We also performed the tumor-level classification experiment in which 4 benign and 6 malignant tumors were correctly classified to the appropriate class. © 2021 IEEE.

关键词： computer aided diagnosis

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：