检索结果-内蒙古大学图书馆

16th International Conference on Knowledge and Smart technology, KST 2024

作者： Kamthang, Vutichai Anekboon, Khantharat King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Computer and Information Science Bangkok Thailand

ISBN: (纸本)9798350370737

White leg shrimp is one of the animals that is popularly consumed and exported in Thailand. A lot of farmers cultivate white leg shrimp in many areas. To raise white leg shrimp larvae into mature white leg shrimp that can be sold in the market for further consumption or export. Before a farm sells white leg shrimp larvae to a farmer, the farm staff needs to count the number of them. The traditional counting method is naked-eye estimation which requires experience and gives a rough estimation. A traditional technique causes time- consuming and human error. Moreover, a farm usually adds some scoops to make sure that the number of white leg shrimp larvae is not less than an order. This situation affects the farm's costs. This study proposes a new system for automated counting white leg shrimp larvae by applying the simple blob detector technique with opening and closing of morphological operations. The experimental result of the proposed system shows that this proposed system gives the best accuracy (94.20%), precision (97.68%), recall (96.35%), and F1 score (96.98%) compared with Canny Edge Detection and Blob analysis, morphological operations (opening, dilatation and gamma correction), and the blue sense system. © 2024 IEEE.

关键词： Mathematical morphology

来源：评论

学校读者我要写书评

暂无评论

Enhancement of High-Definition Map for Autonomous Vehicle Application by Light Intensity Equalization Technique

Enhancement of High-Definition Map for Autonomous Vehicle Ap...

引用

2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications technology, IAICT 2024

作者： Nokkaew, Pattarapoom Sutthisangiam, Nikorn Department of Computer and Information Science Faculty of Applied Science King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (纸本)9798350353464

This research aims to enhance point cloud data and simulate the operations of autonomous vehicles following data refinement. The study utilizes high-resolution point cloud data generated by a mobile mapping system and employs histogram equalization techniques to broaden the range of intensity levels, enhance contrast, and overall improve intensity values. The findings demonstrate a heightened density of dispersed intensity values and an expanded range of intensity levels compared to previous states. The point cloud data file size contribute to a 21% increase from additional shade values recording format, allows for clearer displays of road details and surrounding areas. while simultaneously increasing the accuracy of coordinates on these maps by 15%, as evaluated through simulations. Additionally, this process can aid in the creation of vector maps, a component of high-resolution maps for autonomous vehicles, thereby enhancing performance in various scenarios such as decision-making at intersections and obstacle detection. ©2024 IEEE.

关键词： Obstacle detectors

来源：评论

学校读者我要写书评

暂无评论

Blockchain-based secure and transparent election and vote counting mechanism using secret sharing scheme

引用

Journal of Ambient Intelligence and Humanized Computing 2023年第10期14卷 14009-14027页

作者： Chouhan, Vikas Arora, Anshul Department of Computer Science and Engineering Indian Institute of Technology Roorkee Roorkee India Department of Applied Mathematics Delhi Technological University Delhi India

Privacy and transparency in vote counting are the most prevalent concerns these days due to the involvement of untrusted authorities in the counting process. As a result, the counting process faces significant privacy, trust, and transparency hurdles. Hence, there is a need for an efficient and trusted mechanism to resolve such problems. Blockchain technology has the potential to bring transparency and trust in several applications. Therefore, in this work, we explore blockchain technology in conjunction with a secure partitioning scheme to promote transparency, trust, and privacy between users and participating authorities in a decentralized platform. This paper presents a chaincode-based implementation of our proposed secure and verifiable vote counting mechanism that enables trust and fairness over a decentralized platform. Multiple authorities participate in the vote counting process in a trusted manner to cooperate and coordinate in a decision process over a decentralized platform. Our research exhibits that blockchain technology can eliminate the trust gaps and increase transparency and fairness in the election and vote counting procedure. We register user votes in the blockchain platform based on the secret sharing mechanism to enable fairness and openness between counting authorities. Each vote is recorded into the distributed ledger to support openness and verifiability in our mechanism. The ledger is accessible to every registered user as per the permissioned blockchain policy. We created many authorities in the blockchain network and deployed multiple smart contracts on the Hyperledger platform to analyze the feasibility of our strategy. The performance results are obtained and reported using the Hyperledger Caliper benchmark tool. The results demonstrate that the proposed chaincode-based solution achieves the highest throughput at 200–400 tps for fetching and removing contracts. We achieve the optimal latency of 18.09 s for the vote distribution contract

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Transfer learning in application to semantic segmentation of 3D indoor scenes scanned with a depth camera 27

Transfer learning in application to semantic segmentation of...

引用

27th IEEE Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2024

作者： Rosiak, Ewelina Klepaczko, Artur Lodz University of Technology Institute of Applied Computer Science Lodz Poland Lodz University of Technology Institute of Electronics Lodz Poland

ISBN: (纸本)9788362065486

Recent achievements in the domain of computational intelligence and robotics trigger development and automation in various industry branches. One such domain is the architecture and construction, where the challenges related to efficient measurement, progress monitoring, maintenance, or verification of the agreement between a design and a built object, remain unsolved and may benefit from modern image and signal processing technology. Recognition of objects such as, e.g., walls, doors, or furniture in 3D scenes, allows the creation of so-called digital twins of the real-world environment. Within this study, we developed a series of deep learning models dedicated to semantic segmentation of point clouds representing interiors of buildings. Such representations are usually collected with expensive high-precision LiDAR scanners. The available neural network models, published in the literature, were, accordingly, trained using either such laser data or, alternatively, by the help of the synthetic ones. Our motivation was thus to enable semantic segmentation of RGBD point clouds acquired with a much cheaper sensor, i.e. a depth camera. In the absence of open real datasets, we propose to perform transfer learning and show that it is feasible to achieve reasonable segmentation accuracy on depth-camera data using a model pretrained on LiDAR scans. © 2024 Division of Signal Processing and Electronic Systems, Poznan University of technology (DSPES PUT).

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

Toward Fine-grained Image Retrieval with Adaptive Deep Learning for Cultural Heritage Image

引用

computer Systems science & Engineering 2023年第2期44卷 1295-1307页

作者： Sathit Prasomphan Department of Computer and Information Science Faculty of Applied ScienceKing Mongkut’s University of Technology North Bangkok1518 Pracharat 1 Rd.WongsawangBangsueBangkok10800Thailand

Fine-grained image classiﬁcation is a challenging research topic because of the high degree of similarity among categories and the high degree of dissimilarity for a speciﬁc category caused by different poses and scales.A cul-tural heritage image is one of theﬁne-grained images because each image has the same similarity in most *** the classiﬁcation technique,distinguishing cultural heritage architecture may be difﬁ*** study proposes a cultural heri-tage content retrieval method using adaptive deep learning forﬁne-grained image *** key contribution of this research was the creation of a retrieval mod-el that could handle incremental streams of new categories while maintaining its past performance in old categories and not losing the old categorization of a cul-tural heritage *** goal of the proposed method is to perform a retrieval task for *** learning for new classes was conducted to reduce the re-training *** this step,the original class is not necessary for re-train-ing which we call an adaptive deep learning *** heritage in the case of Thai archaeological site architecture was retrieved through machine learn-ing and image *** analyze the experimental results of incremental learning forﬁne-grained images with images of Thai archaeological site architec-ture from world heritage provinces in Thailand,which have a similar *** aﬁne-grained image retrieval technique for this group of cultural heritage images in a database can solve the problem of a high degree of similarity among categories and a high degree of dissimilarity for a speciﬁc *** proposed method for retrieving the correct image from a database can deliver an average accuracy of 85 *** deep learning forﬁne-grained image retrieval was used to retrieve cultural heritage content,and it outperformed state-of-the-art methods inﬁne-grained image retrieval.

关键词： Fine-grained image adaptive deep learning cultural heritage image retrieval

来源：评论

学校读者我要写书评

暂无评论

Lyapunov-Guided Optimal Service Placement in Vehicular Edge Computing

引用

China Communications 2023年第3期20卷 201-217页

作者： Chaogang Tang Yubin Zhao Huaming Wu School of Computer Science and Technology China University of Mining and TechnologyXuzhou 221116China School of Microelectronics Science and Technology Sun Yat-Sen UniversityZhuhai 519082China Center for Applied Mathematics Tianjin UniversityTianjin 300072China

Vehicular Edge Computing(VEC)brings the computational resources in close proximity to the service requestors and thus supports explosive computing demands from smart ***,the limited computing capability of VEC cannot simultaneously respond to large amounts of offloading requests,thus restricting the performance of VEC ***,a mass of traffic data can incur tremendous pressure on the front-haul links between vehicles and the edge *** strengthen the performance of VEC,in this paper we propose to place services beforehand at the edge server,e.g.,by deploying the services/tasks-oriented data(e.g.,related libraries and databases)in advance at the network edge,instead of downloading them from the remote data center or offloading them from vehicles during the *** this paper,we formulate the service placement problem in VEC to minimize the average response latency for all requested services along the slotted ***,the time slot spanned optimization problem is converted into per-slot optimization problems based on the Lyapunov *** a greedy heuristic is introduced to the drift-plus-penalty-based algorithm for seeking the approximate *** simulation results reveal its advantages over others in terms of optimal values and our strategy can satisfy the long-term energy constraint.

关键词： vehicular edge computing service place-ment response latency computational resources

来源：评论

学校读者我要写书评

暂无评论

Rice Bacterial Infection Detection Using Ensemble Technique on Unmanned Aerial Vehicles Images

引用

computer Systems science & Engineering 2023年第2期44卷 991-1007页

Establishing a system for measuring plant health and bacterial infection is critical in ***,the farmers themselves,who observed them with their eyes and relied on their experience in analysis,which could have been *** inspection can determine which plants reﬂect the quantity of green light and near-infrared using infrared light,both visible and eye using a *** goal of this study was to create algorithms for assessing bacterial infections in rice using images from unmanned aerial vehicles(UAVs)with an ensemble classiﬁcation *** neural networks in unmanned aerial vehi-cles image were *** convey this interest,the rice’s health and bacterial infec-tion inside the photo were *** project entailed using pictures to identify bacterial illnesses in *** shape and distinct characteristics of each infection were *** symptoms were deﬁned using machine learning and image processing *** steps of a convolution neural network based on an image from a UAV were used in this study to determine whether this area will be affected by *** proposed algorithms can be utilized to classify the types of rice deceases with an accuracy rate of 89.84 percent.

关键词： Bacterial infection detection adaptive deep learning unmanned aerial vehicles image retrieval

来源：评论

学校读者我要写书评

暂无评论

Centralized smart energy monitoring system for legacy home appliances

引用

Energy Informatics 2024年第1期7卷 29页

作者： Ahmad, Shahed S. Almasalha, Fadi Qutqut, Mahmoud H. Hijjawi, Mohammad Faculty of Information Technology Applied Science Private University Amman11937 Jordan Faculty of Computer Science University of New Brunswick FrederictonNBE3B 5A3 Canada

The increasing global population and reliance on electrical devices for daily life resulted in sharply rising energy consumption. Also, this leads to higher household electricity bills. As a result, there is a growing demand for energy monitoring systems that can accurately estimate energy usage to help save power, especially for older home appliances that are difficult or expensive to update with monitoring sensors. However, current energy monitoring systems have some drawbacks, such as the inability to detect different types of appliances and the deployment complexity. Moreover, such systems are too costly to use in older power infrastructures. To address this issue, we proposed a centralized smart energy monitoring system designed for legacy home appliances, aiming to address the limitations of current energy monitoring systems by avoiding costly infrastructure upgrades to calculate the power consumption of legacy home appliances. The proposed system employs a two-layered architecture comprising hardware (Emontx device, Analog-to-Digital Converters (ADC), and Current Transformer (CT) sensors) and a software layer that includes Artificial Intelligence (AI) predictors using a pre-defined set of rules and K Nearest Neighbours (KNN) algorithms. We conducted three experiments on real home appliances to evaluate the proposed work. The accuracy of the proposed system showed positive results after several modifications and hard tuning of several parameters in devices, specifically for Jordanian power plants. © The Author(s) 2024.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

Towards a Comprehensive Framework for Big Data in Higher Education 9

Towards a Comprehensive Framework for Big Data in Higher Edu...

引用

9th International Conference on Big Data Analytics, ICBDA 2024

作者： Ahmed, Taher Omran University of Technology and Applied Sciences Information Technology Department Ibri Oman Alzintan University Computer Science Department Alzintan Libya

ISBN: (纸本)9798350352962

Big data and big data analytics have been used in various types of businesses and organizations. Higher education institutions (HEIs) produce and process large amounts of different types of data that satisfy big data properties. However, HEIs have not yet reaped the highest benefits out of big data due to several challenges including the lack of a comprehensive framework for using big data in higher education. In this paper, we pave the way for proposing such a framework starting with a detailed review and comparisons of the latest big data in higher education frameworks. Frameworks are compared based on specific criteria to identify the weaknesses and discover the gaps that we can overcome in the proposed framework. © 2024 IEEE.

关键词： Data Analytics

来源：评论

学校读者我要写书评

暂无评论

Vehicular Data Retrieval System

Vehicular Data Retrieval System

引用

2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023

作者： Thajudheen, Shaeif Shanmugarathinum, G. Jesudoss, Angelin Gladys Presidency University Dept. of Computer Science Bengaluru India University of Technology and Applied Sciences Dept. of Computer Science Ibri Oman

ISBN: (纸本)9798350317060

The Vehicular Data Retrieval System is comprehensive research that focuses on collecting real-time data from vehicles and transmitting it to a remote server for storage and later visualization in a web application. The system incorporates advanced technologies such as GPS (Global Positioning System) for precise location tracking and data capturing. The primary aim of this research is to create an efficient and scalable solution that enables the retrieval of essential vehicular parameters including speed, engine temperature, fuel level, and coordinates. By harnessing this data, it becomes possible to visualize and analyze vehicle performance over time, leading to valuable insights for various applications, such as fleet management, transportation optimization, and environmental monitoring. This paper presents a detailed analysis of the research's requirements, an extensive literature review, an evaluation of existing systems, and the proposed system design and implementation. Furthermore, the paper discusses testing methodologies, the achieved outcomes, and recommendations for future enhancements to further enrich the vehicular data retrieval and visualization system. © 2023 IEEE.

关键词： Nonbibliographic retrieval systems

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：