检索结果-内蒙古大学图书馆

7th International Conference on Mechanical Manufacturing and Industrial engineering, MMIE 2024

作者： Tsui, Zhe-Luen Chou, Ywh-Leh Yuan, Cadmus Feng Chia University Department of Industrial Engineering and System Management Taiwan Feng Chia University Department of Mechanical and Computer-Aided Engineering Taiwan

ISBN: (数字)9781510683297

ISBN: (纸本)9781510683280

This research responds to the complex challenges of mass customization and multi-objective parameter optimization. Leveraging the Call-Auction Matching proposed by Cadmus Yuan, Zhe-Luen Tsui, and Ywh-Leh Chou[1], we improved a Production Date Prediction Call-Auction Matching (PDP-CAM) scheduling algorithm. Our numerical analysis validated the ability of algorithm to implement a partial rescheduling mechanism and generate scheduling results in the face of mass customization scenarios. Importantly, the effectiveness of the PDP-CAM scheduling algorithm in minimizing instance rescheduling was demonstrated, thereby enhancing the computational efficiency of the algorithm. © 2024 SPIE.

关键词： Cleaning

来源：评论

学校读者我要写书评

暂无评论

Review of National Cybersecurity Policies: A Case Study on Asian Countries 1

Review of National Cybersecurity Policies: A Case Study on A...

引用

1st IEEE Karachi Section Humanitarian Technology Conference, Khi-HTC 2024

作者： Noor, Hera Seelro, Dodo Khan Ali, Syed Abbas NED University of Engineering & Technology Department of Computer Information System Engineering Karachi Pakistan Thar Institute of Engineering Science & Technology NED University of Engineering & Technology Karachi Pakistan

ISBN: (纸本)9798350373042

Accelerating the economic advantages of ICT is one of the finest methods for any nation to boost its economy. Due to the unique topography, governing laws, and cultural traditions of each nation, these colossal challenges must be confronted in each country. This comparative analysis aims to examine these aspects in further detail. To achieve the objectives of this study, research was conducted by collecting and analysing data from publicly accessible sources. This research compares Pakistan and other Asian countries' cybersecurity legislation, regulations, CERTs (national computer emergency response teams), CIIPs (computer intrusion prevention programs), and cyber security training and awareness. Among forty-eight Asian countries, the study focus on comparative analysis of major neighboring (developed or developing) countries of Pakistan such as Japan, China, Turkey, Iraq, Saudi Arabia, UAE, Nepal, Iran, Malaysia, Jordan, India, and Bangladesh. Cyber security has not been a major concern in Pakistan for a very long time, perhaps due to the way the government operates and how slowly it adapts to new technology. Many Asian countries have only ever released one version of their national cyber security plan, whilst Pakistan has never released anything;some other Asian countries are also added in this group. © 2024 IEEE.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Analysis on Technique for Code Obfuscation 23

Analysis on Technique for Code Obfuscation

引用

2nd International Conference on Networks, Communications and Information Technology, CNCIT 2023

作者： Zhang, Ni Dong, Wei Xia, Zehong Feng, Zhi Li, Zhicheng National Computer System Engineering Research Institute of China Network Security Programme China

ISBN: (纸本)9798400700620

Code obfuscation is used to reduce legibility of the code, and protect the critical code information from being stolen by reverse engineering. For the characteristic that obfuscation can be used for assembly and source code, the main method and principle of obfuscation including identifier obfuscation, control obfuscation and data obfuscation are expounded from the aspects of assembly and source level. Measuring the effectiveness of obfuscation is urgently needed. Existing evaluation methods are mostly based on software complexity measurement, and this leads to a single dimension. The VirusTotal, a website that integrates antivirus software is used to evaluate the killing rates of detecting malicious code in which different obfuscating methods are used. The killing rates are inversely proportional to the code obfuscating effects. Through the comparative experiment, the effects obfuscating factors including encoding times, encoding multiplicities, file formats, obfuscating levels, and obfuscating methods have on killing rates are compared and analyzed, and the ability of different code obfuscating technologies for assembly and source code are measured. The results show that the code obfuscating technologies whose characteristic codes are new and that can change program logic have good effects, which helps developers to use code obfuscating technologies effectively to prevent man-at-the-end attack. © 2023 ACM.

关键词： Encoding (symbols)

来源：评论

学校读者我要写书评

暂无评论

Vision Transformer for Audio-Based Depression Detection on Multi-Lingual Audio Data 24

Vision Transformer for Audio-Based Depression Detection on M...

引用

7th International Conference on Digital Medicine and Image Processing, DMIP 2024

作者： Pratiwi, Monica Sanjaya, Samuel Ady Department of Computer Engineering Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia Department of Information System Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia

ISBN: (纸本)9798400709586

Depression has the potential to impact death rates, particularly when it comes to death by suicide. Inadequate diagnosis may result in a delay or unsuitable therapy, which can worsen symptoms of depression. Unaddressed or insufficiently addressed depression can result in deteriorating mental well-being, which includes a higher risk of experiencing suicidal ideation and engaging in self-destructive actions. Voice analysis can be employed to distinguish between individuals with depression and those without depression. However, the research that has been conducted on voice recognition to distinguish between depressed and non-depressed individuals keeps focusing on the use of a single dataset source as input for the classification model that is being developed. This work utilizes the Vision Transformer model and various pre-trained transformers, such as DeiT (Data-Efficient Image Transformer) and Swin Transformer, to detect depression based on voice. The objective was to create a more generic model not restricted to a specific language. Integrating Mel-spectrogram characteristics with a vision transformer-based model can enhance the efficacy of voice recognition models when dealing with multi-language data. The result shows 21% higher accuracy than the previous study that also implemented a cross-dataset test. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Spectrographs

来源：评论

学校读者我要写书评

暂无评论

Deep learning based three-dimensional computer holography from stereo/single images

Deep learning based three-dimensional computer holography fr...

引用

2024 Conference on Lasers and Electro-Optics/Pacific Rim, CLEO-PR 2024

作者： Chang, Chenliang Dai, Bo Zhuang, Songlin Zhang, Dawei School of Optical-Electrical and Computer Engineering Engineering Research Center of Optical Instrument and System Ministry of Education Shanghai Key Laboratory of Modern Optics System University of Shanghai for Science and Technology Shanghai200093 China

In the field of computer holography, generating three-dimensional (3D) computer-generated hologram (CGH) in real-time speed has been a significant challenge due to the huge amount of data in 3D object wave. Deep learning has been proposed to compute CGH very fast using convolutional neural network (CNN). However, the input of the such CNN still depends on the acquisition of 3D information like RGB-D image. Here we present novel deep learning based computer holography technique which can rapidly generate CGH using CNN directly from stereo/single images rather than from RGB-D data. The method can simplify the CGH generation by using images as input, therefore avoiding the cumbersome 3D depth measuring process. © 2024 The Author(s)

关键词： Stereocenters

来源：评论

学校读者我要写书评

暂无评论

One Day International Cricket Match Score Prediction Using Machine Learning Approaches 1

One Day International Cricket Match Score Prediction Using M...

引用

1st IEEE International Conference on Smart Power Control and Renewable Energy, ICSPCRE 2024

作者： Hossain, Md. Sabbir Rumpa, Ummay Khadiza Hossain, Md. Shakil Shovon, Sazzadul Islam Huque, Md. Tahmidul Hasan, Mahamudul East West University Department of Computer Science and Engineering Dhaka Bangladesh Central Michigan University Department of Information System MI United States Department of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9798350377002

Cricket is the game that binds Bangladeshis to-gether. The datasets were split into different parts based on the time of the cricket matches to experiment with the results. We have used Random Forest Regression and Linear Regression to experiment with the results. We have worked on different sets of independent variables while working with different datasets but runs and wickets were constant features. The linear Regression technique gave 0.58 of r-squared metric and its MAE: 32.857046003557706, MSE: 1793.4360657965133, RMSE: 42.34897951304746 values indicate that the regression model is making predictions that are reasonably close to the actual ob-served values. However, there is still some room for improvement. The r-squared metric of 0.787 was derived from a relatively brief dataset, MAE: 20.48880467759807, MSE: 690.1167559064677, RMSE: 26.270073389818837 metrics indicate that the regression model is making predictions that are very close to the actual observed values. Random Forest Regression's r-squared metric resulted in 0.807 but the learning curve pointed out an overfit model. Thus, linear regression contained the best result. We have applied the regularisation technique to achieve a better result. The dataset was collected from Github and Kaggle, sizes are (350899, 15) and (4037, 9) respectively. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Architecture and Control Simulation for Improved system Resiliency of a Building Microgrid 59

Architecture and Control Simulation for Improved System Resi...

引用

59th IEEE/IAS Industrial and Commercial Power systems Technical Conference, I and CPS 2023

作者： Correia, Alexandre F. M. Lopes, Jose M. B. Coimbra, A. Paulo Moura, Pedro de Almeida, Anibal T. University of Coimbra Institute of System and Robotics Department of Electrical and Computer Engineering Coimbra Portugal

ISBN: (纸本)9798350396515

The increasing frequency of natural disasters has led to situations where small towns and critical infrastructure, become isolated from the main utility grid. The microgrids' ability to work autonomously from the utility grid presents a viable solution to this problem. Microgrid resiliency is the characteristic related to the capacity of a microgrid to minimize the impact of disruptive events and ensure that the power supply is maintained under a variety of adverse conditions. This is specially important for critical infrastructures such as hospitals, communications and military bases. The objective of this paper is to simulate strategies and propose an algorithm for the design and management of electric microgrids with a focus on resiliency towards critical and disaster situations. The proposed solutions will be simulated, using a building microgrid implemented in the University of Coimbra as a pilot. As a result of the work, the study presents an algorithm that efficiently manages loads of a microgrid in order to increase its resilience when the microgrid is isolated from the utility grid. © 2023 IEEE.

关键词： Smart power grids

来源：评论

学校读者我要写书评

暂无评论

The Use of a Genetic Algorithm to Alleviate the Limited Content Issue in a Content-Based Recommendation system

The Use of a Genetic Algorithm to Alleviate the Limited Cont...

引用

International Conference on Artificial Intelligence and Smart Environment, ICAISE 2022

作者： Stitini, Oumaima Kaloun, Soulaimane Bencharef, Omar Computer and System Engineering Laboratory FSTG Cadi Ayyad University Marrakesh40000 Morocco

ISBN: (纸本)9783031262531

Recommendation systems today present a technology designed to make things easier for consumers. They can be used to suggest ideas, solutions, products, and even people in various fields, including medicine, education, tourism, e-commerce and industry. The most present study we identified is in the e-commerce industry, supporting people in finding what they desire. A recommender system can, however, present consumers with helpful information on topics that may be important to them. The user may become dissatisfied receiving suggestions that are identical to their preferences, resulting in the problem of over-specialization. Limited content data leads to over-specialization since content-based techniques promote products closely connected to the client profile instead of novelties. In this research, we are concerned explicitly with suggesting novel, unpredictable, and startling objects that may be loved by consumers and may help make up for the lack of content. Genetic algorithms may be used to incorporate innovations and a sense of unpredictability, which we need to accomplish in order to propose both unfamiliar and unforeseen products alongside more familiar ones. This article discusses an innovative method to overcome the limited content problem and enhance the results of a content-based recommendation system. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Early Detection and Classification of Tomato Leaf Blight Disease Using Deep Neural Networks 2

Early Detection and Classification of Tomato Leaf Blight Dis...

引用

2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024

作者： Halder, Anangsha Guha Neogi, Subhrendu Dutta, Shibdas Khamaru, Koustov Bhattacharya, Arghya Roy, Shovan The Neotia University Department of Computer Science and Engineering Sarisha India Dcg Data-Core System India Department of Information Technology Kolkata India University of Engineering and Management Department of Computer Science and Engineering Kolkata India

ISBN: (纸本)9798350373110

The world population relies on agricultural plants for food, and illnesses reduce yield, but proper plant disease monitoring can help to resolve such issues. computer vision and machine learning methods can detect plant illnesses early, reducing their negative consequences and overcoming the drawbacks of continual human monitoring. After pre-processing of input images, the target region needs to be isolated. The proposed models analyzes images for detection and classification to identify edges, colors, and textures. This research has agricultural applications for early disease identification. This study examined ResNet, MobileNet, DenseNet, InceptionV3 and modified CNN model on the PlantVillage dataset to classify tomato illnesses. The F1 score, accuracy, sensitivity, and specificity can evaluate models. This paper evaluates these models using a diverse collection of tomato leaf pictures, contributing to automated disease detection systems and may be helpful for improving farm management and sustainability. © 2024 IEEE.

关键词： Fruits

来源：评论

学校读者我要写书评

暂无评论

Multi-granularity feature enhancement network for maritime ship detection

引用

CAAI Transactions on Intelligence Technology 2024年第3期9卷 649-664页

作者： Li Ying Duoqian Miao Zhifei Zhang Hongyun Zhang Witold Pedrycz Department of Computer Science and Technology Tongji UniversityShanghaiChina Project Management Office of China National Scientific Seafloor Observatory Tongji UniversityShanghaiChina Department of Electrical and Computer Engineering AlbertaEdmontonCanada System Research Institute Polish Academy of SciencesWarsawPoland

Due to the characteristics of high resolution and rich texture information,visible light images are widely used for maritime ship ***,these images are suscep-tible to sea fog and ships of different sizes,which can result in missed detections and false alarms,ultimately resulting in lower detection *** address these issues,a novel multi-granularity feature enhancement network,MFENet,which includes a three-way dehazing module(3WDM)and a multi-granularity feature enhancement module(MFEM)is *** 3WDM eliminates sea fog interference by using an image clarity automatic classification algorithm based on three-way decisions and FFA-Net to obtain clear image ***,the MFEM improves the accuracy of detecting ships of different sizes by utilising an improved super-resolution reconstruction con-volutional neural network to enhance the resolution and semantic representation capa-bility of the feature maps from *** results demonstrate that MFENet surpasses the other 15 competing models in terms of the mean Average Pre-cision metric on two benchmark datasets,achieving 96.28%on the McShips dataset and 97.71%on the SeaShips dataset.

关键词： object classification object recognition rough sets rough set theory

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：