检索结果-内蒙古大学图书馆

PATTERN RECOGNITION BY USING AN ASSOCIATIVE MEMORY

IEEE TRANSACTIONS ON ELECTRONIC COMPUTERS 1966年第6期EC15卷 944-+页

The purpose of this paper is to present a simple template-matching pattern recognition technique by using any general-purpose associative memory. The input patterns for recognition may have wide variations, provided that the distinct features of individual pattern classes can be extracted. Each pattern class is allowed to have deviations in size, style, orientation, etc. within certain limits. This pattern recognition technique is extremely efficient in handwritten character recognition, which is used for illustration in this paper. Because each input pattern is processed with all the pattern classes simultaneously, the speed of this pattern recognition technique is very high. It is found that most input patterns are recognized within first comparison process and no input patterns require more than two comparison processes for their recognition.

关键词： Pattern recognition Associative memory Character recognition Pattern classification Feature extraction Convergence Machine learning Piecewise linear techniques Parallel processing Random number generation

来源：评论

学校读者我要写书评

暂无评论

A NONBULK ADDITION TECHNIQUE FOR ASSOCIATIVE PROCESSORS

引用

IEEE TRANSACTIONS ON ELECTRONIC COMPUTERS 1966年第6期EC15卷 938-+页

作者： YAU, SS YANG, CC Information-Processing and Control Systems Laboratory and Department of Electrical Engineering Northwestern University Evanston IL USA Program of Information Science and the Department of Electrical Engineering Washington State University Pullman USA Information-processing and Control Systems Laboratory and Department of Electrical Engineering Northwestern University Evanston IL USA

A process is described for continuing adaptation, after hyperplanes that separate pattern classes in pattern space have been found, in order to increase the distance between sample patterns and hyperplanes.

关键词： Boolean functions Logic Network synthesis Testing Silicon carbide Sufficient conditions Arithmetic Software performance Associative memory Hardware

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 28

Performance Enhancement of Stream-Based Decompression Proces...

引用

28th IEEE Symposium on Computers and Communications, ISCC 2023

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

ISBN: (纸本)9798350300482

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. © 2023 IEEE.

关键词： Virtual storage

来源：评论

学校读者我要写书评

暂无评论

Metaverse for Public Welfare and the United Nations Sustainable Development Goals

Metaverse for Public Welfare and the United Nations Sustaina...

引用

2022 International Conference on Cloud Computing, Big Data and Internet of Things, 3CBIT 2022

作者： Umar, Amjad Harrisburg University Information Systems Engineering & Management Program Harrisburg United States

ISBN: (纸本)9781665492256

Metaverse is extremely popular at present in the gaming industry but can it accelerate the advancement of public services as defined by the United Nations Sustainable Development Goals (UN SDGs)? In particular, can metaverse provide any value to developing nations and how can the challenges and risks introduced by the metaverse be addressed through govrnment regulations and policies? This paper presents a systematic analysis of metaverse and utilizes the United Nations SDGs as a metric to explore public welfare aspects of metaverse. A digital transformation Lab is presented for rapid deployment and experimentation with metaverse. © 2022 IEEE.

关键词： Sustainable development

来源：评论

学校读者我要写书评

暂无评论

EFFECTS OF REFRACTIVE INDEX AND ASPECT RATIO ON THE PARTICLE IMAGES IN A LEVITATED DROPLET

引用

Multiphase Science and Technology 2024年第1期36卷 13-26页

作者： Gatete, Eugene Kaneko, Akiko Shen, Biao University of Tsukuba Systems and Information Engineering Graduate School of Science and Technology Degree Program of Engineering Mechanics and Energy 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan University of Tsukuba Faculty of Engineering of Information Engineering and Systems 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

A technique using droplets suspended by ultrasound has attracted attention as one of the containerless processing methods. While this can avoid contamination from the container, it is known that ultrasonic levitation creates flow fields inside and outside the droplet. For more precise droplet control, it is desirable to elucidate the internal flow of the droplet, and measurements of the internal flow have been performed using the particle image velocimetry (PIV). The aim of this study is to elucidate the internal flow field behavior by solving optical problems and improving the accuracy of velocity field measurements in levitated droplets. The fluid that is to be investigated is scattered with small tracer particles and illuminated by a laser to capture the flow on a created laser sheet. The curvature distortion is successfully visualized using the PIV approach toward distortion correction using calibration methods. The curvature distortion illustration was performed based on the refractive index and aspect ratio of the simulated droplet in acrylic materials. The fluid flow, affected by droplet curvature and refractive index, has been visualized for both levitated and simulated droplets. The experimental results showed that the droplet curvature can be distorted in two types such as radial and tangential distortions and increase as the refractive index and aspect ratio increases. © 2024 by Begell House, Inc.

关键词： Refractive index

来源：评论

学校读者我要写书评

暂无评论

ADISSA - ARCHITECTURAL DESIGN OF information-systems BASED ON STRUCTURED ANALYSIS

引用

information systems 1988年第2期13卷 193-210页

作者： SHOVAL, P Computer and Information Systems Program Department of Industrial Engineering and Management Ben-Gurion University of the Negev P.O. Box 653 Beer Sheva 84105 Israel

ADISSA is a methodology for Architectural Design of information systems and Software, based on Structured Analysis. The architectural design includes: 1. (a) design of a tree-structured menu system, which interfaces between the users and the system—viewed as the “external architecture” of the system; and 2. (b) design of the transactions of the system, composed of various functions which are activated in response to user needs and various events in the universe of discourse—viewed as the “internal architecture” of the system. The menu tree and the transactions are tied up with the other major components of the system architecture: the inputs and outputs, and the database. ADISSA methodology is fully compatible and consistent with Structured Analysis, and therefore the stages of system analysis and design are integrated into one complete process.

关键词： Architectural design data flow diagram development methods software engineering structured analysis and design transactions user interface

来源：评论

学校读者我要写书评

暂无评论

Optimizing Menu Bundling Strategies Through Apriori Algorithm in Sales Analysis 4

Optimizing Menu Bundling Strategies Through Apriori Algorith...

引用

4th International Conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2024

作者： Tama, Ahmad Sambang Setya Hamami, Faqih Adi, Taufik Nur Telkom University Information Systems Study Program Faculty of Industrial Engineering Bandung Indonesia

ISBN: (纸本)9798331506490

Indonesia, as one of the largest coffee producers and exporters in the world, has experienced significant growth in the number of coffee shops, driven by increasing consumer demand for ready-to-drink coffee. This study aims to enhance sales performance at Authen Café and Space through the implementation of a menu bundling strategy. By utilizing data mining techniques and the Apriori algorithm, customer purchasing patterns were analyzed to identify optimal menu combinations. The data was collected directly at Authen Cafe during the period from April to August 2028. The analysis revealed that bundling strategies, such as combining Ayam Rica-Rica with Es Kopi Susu Karamel, are effective in increasing sales volume and product popularity among consumers. Furthermore, this study evaluated the impact of offering discounts on bundled packages on the café's profitability, demonstrating that this approach can boost net profit without sacrificing profit margins. This research provides significant insights into the application of data-driven marketing strategies within the café'industry and offers guidance for more effective managerial decision-making. © 2024 IEEE.

关键词： Profitability

来源：评论

学校读者我要写书评

暂无评论

The Practical Model DAM for Analyzing Data Lake Architectures in a Financial Institution in Peru

The Practical Model DAM for Analyzing Data Lake Architecture...

引用

2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Ramirez, Cristhian Zaña Mauricio, Sergio Benancio Wong, Lenis Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Peru

ISBN: (纸本)9798350327816

As the volume of data generated in the financial sector continues to grow organizations are challenged to effectively manage this vast amount of information. However, the implementation of a technological solution, especially in highly regulated financial environments with stringent security and privacy requirements, does not achieve the expected result. This study proposes a novel model, called DAM (Data Lake Analysis Model), to analyze the implemented Data Lake architecture of a Peruvian financial institution in order to identify opportunities for improvement and close the gaps that may arise in the management of large volumes of data. This methodology consists of 3 levels: (1) data and internal process analysis, (2) architecture and tools analysis, and (3) data governance analysis. A case study was conducted in a financial institution, and interviews and questionnaires were conducted with analysts and data scientists. The results at the three levels of analysis were very positive, with scores of 4.33, 4.06, and 4.11, respectively. In addition, the results of the questionnaire indicate that the experts rated the analysis as 'good', suggesting that the DAM model is effective in addressing the challenges of financial data management in the Peruvian context. © 2023 IEEE.

关键词： architecture analysis big data data lake data lake architecture financial institution

来源：评论

学校读者我要写书评

暂无评论

information Security Risk Management Model for Peruvian SMEs

Information Security Risk Management Model for Peruvian SMEs

引用

2018 IEEE Sciences and Humanities International Research Conference, SHIRCON 2018

作者： Garcia-Porras, Chris Huamani-Pastor, Sarita Armas-Aguirre, Jimmy Universidad Peruana de Ciencias Aplicadas Information Systems Engineering Program Lima Peru

ISBN: (纸本)9781538683743

In this paper, we propose a risk management model of information security for Peruvian SMEs, taking as reference the OCTAVE-S methodology and the ISO / IEC 27005 standard. The model consists of the 3 phases of OCTAVE-S (Construction of the threats profile, Identification of infrastructure vulnerabilities, and Strategies and security plans). This model contains the contemplated lists of ISO / IEC 27005, it also contains the calculation and the risk treatment of this standard. Likewise, the model adopts a quantitative approach that allows calculating the residual risk, for example, the most critical asset identified obtained 216 of risk value and the residual risk obtained was 109 of risk value, this is obtained on the basis of the effectiveness of the controls that are part of the proposed model, for example, formalize procedures and policies and their occasional review. This model provides guidelines for information security risks for companies. It was implemented in the sales process of a Peruvian SME of the ceramic sector, proving to be easy to use and it was possible to identify the necessary controls to reduce the risk, whose implementation reduces the risk by 53%. © 2018 IEEE.

关键词： Security of data

来源：评论

学校读者我要写书评

暂无评论

TOOL For Predicting Plans and Improving Solid Waste Management by Applying Time Series and AWS

TOOL For Predicting Plans and Improving Solid Waste Manageme...

引用

2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Jaimes, Limber Garriazo, Yudit Dextre, Jymmy Information Systems Engineering Program Universidad Peruana de Ciencias Aplicadas Lima Peru

ISBN: (纸本)9798350327816

Currently, the constant population growth in Peru leads to the generation of large amounts of solid waste, most of these originate from domestic sources and are collected by municipalities. The inefficiency in solid waste collection plans generates rework and therefore operational overhead. Likewise, it pollutes the environment due to waste accumulated in the streets and dissatisfaction from the neighbors. Therefore, an IoT tool is proposed, which will have a solar panel, sensor, chip inside the containers that served to train the algorithm and predict solid waste collection plans for decision-making of a municipality using the time series model, arima and Random Forest. This tool has 3 stages: analysis, design, and validation. Stage 1 evaluates machine learning models and IoT architectures. Stage 2 describes the design and software architecture of the tool. And, in stage 3, the deployment of IoT devices in a municipality of Lima was simulated and its operation was validated with the solid waste collection area. The result of the implementation of the tool in a sector of Villa El Salvador managed to increase the efficiency of solid waste collection plans from 81 % to 96 % effectiveness in said sector. In addition, this reduced operational costs by approximately 8 % and increased the satisfaction of neighbors by not having solid waste accumulated in the streets. © 2023 IEEE.

关键词： Machine learning path predictive algorithms sensors solid waste

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：