检索结果-内蒙古大学图书馆

MILCOM, Military Communications Conference

作者： Adeeb Abbas Vasil Pano Geoffrey Mainland Kapil Dandekar Electrical and Computer Engineering Drexel University Philadelphia PA USA College of Computing and Informatics Drexel University Philadelphia PA USA

We propose a new deep residual network for Automatic Modulation Classification, OPResNet-18. It achieves state-of-the-art accuracy on the RadioML 2016.10a data set. We train the proposed model and other state-of-the-art networks with augmented data by adding a Carrier Frequency Offset (CFO). We find that the previously proposed IQNet-3 is robust to CFO. We demonstrate that this robustness allows the performance of IQNet-3 to be further improved through data augmentation in contrast to existing neural networks that cannot handle CFO. Finally, we provide evidence that standard data pre-processing techniques for time-domain data that reportedly perform well in many domains do not perform as well as a simple alternative, the outer product, in the IQ domain.

关键词： Training Military communication Neural networks Training data Performance gain Robustness Time-domain analysis

来源：评论

学校读者我要写书评

暂无评论

Implementation of Illumination Invariant Face Recognition for Accessing User Record in Healthcare Kiosk

Implementation of Illumination Invariant Face Recognition fo...

引用

2020 International Electronics Symposium, IES 2020

作者： Firmanda, Muhammad Rizal Sena Bayu Dewantara, Bima Sigit, Riyanto Politeknik Elektronika Negeri Surabaya Department of Informatics and Computer Engineering Surabaya Indonesia

ISBN: (数字)9781728195308

ISBN: (纸本)9781728195308

The availability of health check facilities that are increasingly affordable in terms of cost and distance is very useful for the community. Therefore, the presence of a healthcare kiosk that is installed everywhere will certainly be very beneficial for the wider community. In this paper, we developed a user-login method in the healthcare kiosk without utilizing any additional tools so that it is quite efficient, using face recognition biometric technology. We added the invariant illumination feature to face recognition technology to ensure that the healthcare kiosk system will continue to work even in places with changing lighting. This feature uses the light intensity contrast adjustment in the image automatically by employing the Fuzzy Inference System (FIS) and Genetic Algorithm (GA). Based on the results of testing the user-login system, we get an accuracy of 85.57% with an ideal distance of 30-60 cm. The system works with maximum performance in some experimental conditions such as normal lighting, backlighting, direct-lighting, low-lighting, and dark. Users that use facial recognition as a login method, the facial recognition program will capture the user's face and match it to the database. If the user is registered in the database, the system will inform the user that the user is logged in successfully, otherwise, if the user is not logged in, the system will notify the user as unknown. © 2020 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

The Correlation Between Architecture Smells, Package Stability and Reusability: A Case Study

The Correlation Between Architecture Smells, Package Stabili...

引用

Sciences and Techniques of Automatic Control and computer engineering MI-STA, IEEE International Maghreb Meeting of the Conference on

作者： Mrwan BenIdris Ehab A. Omar Elfallah Marwa Aslam Cheema Mohammed Salah Addin Alsma Tareq Ziad Kadiki Abdelfattah Elbarsha Dep. of Computer Science Faculty of Information Technology University of Benghazi Dept. of Software Engineering Faculty of Information Technology Libyan International Medical University Health Informatics Department Faculty of Public Health University of Benghazi

ISBN: (数字)9798350372632

ISBN: (纸本)9798350372649

the design decisions made in the architecture of a software system are essential to its maintainability, and thus its quality is of great importance. Architecture smells (ASs) can be used to identify any quality issues within the system. To further explore the relationships between ASs, stability, and reusability, Spearman correlation coefficients will be calculated. This paper seeks to examine the connection between architecture smells, software stability, and reusability. To do this, we utilized a dataset created by other researchers and conducted an empirical study of the associations between five types of architecture smells and software stability and reusability. This research is necessary as there is a lack of in-depth research on architecture smells and their relationship to software stability and reusability. We found a relationship between the presence of Feature Concentration in package and the stability and reusability of the package. Also, package's stability is affected by both Cyclic Dependency and Unstable Dependency. A slight positive correlation has been found between God Class and stability, as well as a very weak negative correlation between Unstable Dependency and reusability. Finally, we found a slight negative correlation between package stability and reusability.

关键词： Correlation coefficient Correlation Codes Conferences computer architecture Software systems Software development management

来源：评论

学校读者我要写书评

暂无评论

On recognizing occluded faces in the wild

arXiv

引用

arXiv 2021年

作者： Erakın, Mustafa Ekrem Demir, Ugur Ekenel, Hazım Kemal Faculty of Computer and Informatics Dept. of Computer Engineering Maslak Istanbul34469 Turkey

Facial appearance variations due to occlusion has been one of the main challenges for face recognition systems. To facilitate further research in this area, it is necessary and important to have occluded face datasets collected from real-world, as synthetically generated occluded faces cannot represent the nature of the problem. In this paper, we present the Real World Occluded Faces (ROF) dataset, that contains faces with both upper face occlusion, due to sunglasses, and lower face occlusion, due to masks. We propose two evaluation protocols for this dataset. Benchmark experiments on the dataset have shown that no matter how powerful the deep face representation models are, their performance degrades significantly when they are tested on real-world occluded faces. It is observed that the performance drop is far less when the models are tested on synthetically generated occluded faces. The ROF dataset and the associated evaluation protocols are publicly available at the following link https://***/ekremerakin/RealWorldOccludedFaces. © 2021, CC BY-NC-ND.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Analysis of Lung Cancer for Developing Smart Healthcare with the Help of BGWO Based TSA-XGBoost Model

Analysis of Lung Cancer for Developing Smart Healthcare with...

引用

Self Sustainable Artificial Intelligence Systems (ICSSAS), International Conference on

作者： Mahaveerakannan R Murali Dhar M S Sohan Goswami P. Gopala Krishna K. Jayanthi M. Sathish Kumar Department of Spatial Informatics The Institute of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu Department of Computer Science and Technology Technique Polytechnic Institute West Bengal Department of Information Technology Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad Telangana Department of Computer Science and Engineering Pollachi Institute of Engineering and Technology Coimbatore Pollachi Tamil Nadu Department of Cyber Security Karpagam college of Engineering Coimbatore Tamil Nadu

Given the circumstances the healthcare system, the Internet of Things (IoT) is crucial. IoT gadgets offer patient data for the framework of healthcare monitoring. IoT is a key component in every aspect of the health care management system since people can use smart devices to check on their health. Lung cancer is a fatal malignancy, and the likelihood of survival is increased by early identification. Because of the computational difficulty involved in gathering characteristics, it is imperative to design an approach using machine learning techniques for categorising cancer disease because the classification results given by the current methods are inadequate. With the use of the synthetic minority oversampling methods (SMOTE) methodology, the incoming data is pre-processed and balanced. With the help of the binary grey wolf optimisation algorithm (BGWOA), the pertinent features are best chosen. Finally, the suggested model's hyper-parameters are best chosen by the tunicate swarm optimisation (TSA) model, and the classification is carried out by the extreme gradient boosting (XGBoost) model. The experimental analysis demonstrates that the suggested model attained accuracy and recall values of 98% and 95%, respectively, compared to 95% and 95%, respectively, for the identical proposed model without the feature selection (FS) method.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparison of Kernels on Support Vector Machine (SVM) Methods for Analysis of Cyberbullying

Comparison of Kernels on Support Vector Machine (SVM) Method...

引用

International Conference on Information Technology, Information Systems and Electrical engineering (ICITISEE)

作者： Sal Sabila Wijayanti Ema Utami Ainul Yaqin Master of Informatics Engineering Universitas Amikom Yogyakarta Yogyakarta Indonesia Computer Science Faculty Universitas Amikom Yogyakarta Yogyakarta Indonesia

Along with the development of social media, there are various abuses and deviations from the ethics of interaction by its users. One form of social media abuse is cyberbullying. Recently, cyberbullying has become more frequent and these events are still difficult to detect. Therefore, researchers conducted an analysis of cyberbullying on Twitter social media using the Support Vector Machine (SVM). The data used is the crawled data of Twitter in Indonesian. This is included in non-linear data so it requires the kernel to carry out the text mining process. However, to date there has been no specific research on what kernels are good to use in cases of cyberbullying. Therefore, researchers conducted an experiment to implement SVM on tweet classification. The researchers will also look for the best kernels among the four kernels, namely Polynomial, Radial Basis Function (RBF), Sigmoid, and Linear. From the results of the experiments conducted, the SVM method can be used for the classification of cyberbullying. In addition, it is known that the sigmoid kernel has the highest accuracy of 83.85%.

关键词： Support vector machines Text mining Electrical engineering Ethics Blogs Text categorization Cyberbullying

来源：评论

学校读者我要写书评

暂无评论

Data analytics for hotel reviews in multi-language based on factor aggregation of sentiment polarization

Data analytics for hotel reviews in multi-language based on ...

引用

2020 International Electronics Symposium, IES 2020

作者： Beny Pangestu, M. Ridho Barakbah, Ali Hadiah Muliawati, Tri Politeknik Elektronika Negeri Surabaya Informatics and Computer Engineering Department Surabaya Indonesia

ISBN: (纸本)9781728195308

Online booking platform eases customer to book hotel easily prior to the arrival date. However, problem arises if customer thinks hotel quality is not as good as promised on online booking platform. Hotel rating which is presented on online booking platform is not sufficient to fully represent hotel quality in terms of services and facilities. To fill in the gap, hotel reviews can be used to depict hotel quality in details. However, hotel reviews can be written in multi-language and the amount is too much, which makes it harder to be understood. On the other hand, hotel's management also needs to regularly monitor hotel quality perceived by the customer in order to maintain and improve hotel quality. Therefore, this research proposes system to analyze, classify, and predict hotel quality using aggregation of hotel rating and review. The proposed system uses factor aggregation of sentiment polarization approach in vaderSentiment and SentiwordNet which uses different methods (Lexicon-based and Rule-based) to calculate sentiment degree of hotel reviews. Before being analyzed using sentiment analysis, multi-language review is standardized automatically into English. Descriptive and predictive analysis are conducted in big data environment using Hierarchical K-Means Clustering and Smoothing Exponential method respectively. The results of sentiment aggregation that are used as a feature in descriptive and predictive method enriches the analysis for the better result Performance of this approach is 12,47% for prediction error and 4,61% error rate for clustering model. It produced better result hotel segmentation and predictions of hotel quality. This study can give an advantage for both the customer and the hotel management in analyzing the development of hotel quality. © 2020 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

Impact of tourist demand, from COVID-19, on the sustainable Inca infrastructure of Ollantaytambo, Urubamba – Cusco – Peru 10

Impact of tourist demand, from COVID-19, on the sustainable ...

引用

10th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2021

作者： Esenarro, Doris Santos, Jaqueline Teodoro, Christian Pandey, Bishwajeet Rodriguez, Ciro Geographical Environmental Ecoturiism Engineering Universidad Nacional Federico Villarreal Lima Peru Computer Science & Engineering Birla Institute of Applied Science Bhimtal India Faculty of Electronics Informatics and Mechatronics Engineering Universidad Nacional Federico Villarreal Lima Peru

ISBN: (纸本)9780738105239

The objective of the study is to analyze how tourism demand impacts, in the sustainable Inca infrastructure of Ollantaytambo in Cusco during 2020 in COVID-19. Based on bibliographic reviews presented in other research, regulations, and registration of updated data from the last 10 years in the tourism sector, such as the registration of visitors, flights, and others. There was relying on GIS tools to determine its location and accessibility. For its development, there were stages of recognition and description of the study area, characterization of the physical and demographic aspects, analysis of the data collected and tourist demand, and identifying the impacts from COVID-19. It was found that By 2020, a considerable increase in the tourist demand of Ollantaytambo was expected. However, the repercussion caused by the COVID-19 pandemic, the visitor registration in Ollantaytambo fell by 73% compared to 2019 and flights fell by 71, 7%, thus concluding that tourism has had a significant drop, with uncertain prognostic. A change in the current tourist dynamics allows controlling the capacity, respecting the spaces, taking care of the visitor, and generating a greater organization for developing the tourist activity. © 2021 IEEE.

关键词： Tourism

来源：评论

学校读者我要写书评

暂无评论

Dynamic obstacle avoidance on middle size league robot soccer ersow using subtargets 3

Dynamic obstacle avoidance on middle size league robot socce...

引用

3rd International Conference on Applied Science and Technology, iCAST 2020

作者： Priambudi, Renardi Adryantoro Wibowo, Iwan Kurnianto Ariyadi, Bagus Nugraha Deby Dewantara, Bima Sena Bayu Bachtiar, Mochamad Mobed Nurrohmah, Erna Alfi Department of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya Indonesia

ISBN: (纸本)9781728195674

This paper presents the generation of a virtual obstacle to enhance subtargets algorithm that is implemented on robot soccer. One thing that we need to consider is the behavior of our robot when dealing with obstacles. The most challenging ability that must be owned by the robot is to avoid obstacles on the field as fast as possible. Obstacle avoidance skills must be adaptive to highly dynamic movement of the opponent robot and must have cheap computation. Subtargets algorithm is the right answer with considering the speed of each object and the environment of robot soccer. Speed will be converted to several virtual obstacles using a linear constant velocity method and will be input for subtargets algorithm. Based on the result of the experiments have been done. This algorithm worked great if both our robot speed and the virtual obstacles of the opponent robot speed are not exceeding the limits. Robot speed can reach 70 cm/s. The robot has a 100% rate of success to avoid both multiple static obstacles and single static obstacles flawlessly. In the second experiment, we try with different setpoint speeds of virtual obstacle which is 0.25 m/s, 0.6 m/s, 0.65 m/s and the robot can avoid correctly with a 100% rate of success. Third, we increase the virtual obstacles speed until the limits on 1 m/s, the robot is decreasing the rate of success to 90%. This trend will get worst on the rest of the speed if we keep increasing it. © 2020 IEEE.

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

VLM-Enabled Network Experimentation: Case Study of Chanel Capacity in System Limited by η-μ Fading

VLM-Enabled Network Experimentation: Case Study of Chanel Ca...

引用

International Symposium on INFOTEH-JAHORINA (INFOTEH)

作者： Dejan Milić Nenad Petrović Milan Jović Radiša Stefanović Mejdin Saliji Elida Suljović Faculty of Electronic Engineering University of Niš Niš Serbia Applied Engineering Sciences Academy of Vocational Studies Polytechnic Belgrade Serbia Faculty of Mathematics and Natural Sciences Cyril and Methodius University Skopje Republic of North Macedonia Informatics and Computer Science Technical School in Novi Pazar Novi Pazar Serbia

ISBN: (数字)9798331515799

ISBN: (纸本)9798331515805

In this paper, a micro-MRC receiver with L branches operating in a correlated gamma-shadowed η-μ fading channel is considered. For such a system, the channel capacity (CC) is determined based on the maximum signal-to-noise ratio (SNR) at the L branches at the input of the MRC receiver. The results are presented graphically to illustrate the impact of different system parameters on performance and the improvements that result from the advantages of combined diversity. Additionally, we introduce the application of Large Language Models (LLMs) to make network experimentation more practical, using the previously presented expression as a case study. Moreover, a Vision Language Model (VLM) aided method aiming to make model-driven network design and experimentation more convenient is introduced and evaluated for the previously considered case study

关键词： Fading channels Wireless communication Visualization Channel capacity System performance Scalability Large language models Receivers Signal to noise ratio

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：