检索结果-内蒙古大学图书馆

computer science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Muhammad Fikri Hasani Yaya Heryadi Yulyani Arifin Lukas Wayan Suparta Computer Science Department BINUS Graduate Program Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Yogyakarta Indonesia

Task oriented chatbots are a sub-topic related to chatbots, where chatbots will perform certain tasks with specific goals. One part of creating a task-oriented chatbot is doing intent classification. Intent classification is a task of text classification. As in general text classification, the required dataset requires a label to carry out the classification process. To speed up and help the utterance analysis process, there is already a method, namely clustering, and Density-based clustering is a part of clustering that can determine cluster patterns based on arbitrary data, with DBScan as one of its algorithms. This research used 10000 client utterance data of awhatsapp based e-commerce conversation. SentenceBert also used as a state of art sentence embedding. This research yield silhouette score of 0.327 as the best result from eps of 0.1 and MinPts of 95. However, based on the cluster result, sentences labelled as noise can be further clustered. Text Preprocessing, text augmentation and sentence embedding techniques can be explored to increase the cluster performance.

关键词： computer science Art Text categorization Clustering algorithms Oral communication Chatbots Classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Multimodal Brain-computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines

arXiv

引用

arXiv 2023年

作者： Angkan, Prithila Behinaein, Behnam Mahmud, Zunayed Bhatti, Anubhav Rodenburg, Dirk Hungler, Paul Etemad, Ali Queen’s University in Canada The Department of Electrical and Computer Engineering Canada Queen’s University United Kingdom The Department of Electrical and Computer Engineering Queen’s University Canada SpassMed Inc The Queen’s University Smith School of Engineering’s Department of Chemical Engineering The Faculty of Arts and Science Canada The Department of Chemical Engineering and Ingenuity Labs at Smith Engineering Queen’s University United Kingdom The Department of Electrical and Computer Engineering Queen’s University United Kingdom

Through this paper, we introduce a novel driver cognitive load assessment dataset, CL-Drive, which contains Electroencephalogram (EEG) signals along with other physiological signals such as Electrocardiography (ECG) and Electrodermal Activity (EDA) as well as eye tracking data. The data was collected from 21 subjects while driving in an immersive vehicle simulator, in various driving conditions, to induce different levels of cognitive load in the subjects. The tasks consisted of 9 complexity levels for 3 minutes each. Each driver reported their subjective cognitive load every 10 seconds throughout the experiment. The dataset contains the subjective cognitive load recorded as ground truth. In this paper, we also provide benchmark classification results for different machine learning and deep learning models for both binary and ternary label distributions. We followed 2 evaluation criteria namely 10-fold and leave-one-subject-out (LOSO). We have trained our models on both hand-crafted features as well as on raw data. We make our dataset public to contribute to the field. © 2023, CC BY-NC-SA.

关键词： Eye tracking

来源：评论

学校读者我要写书评

暂无评论

Edge Intelligence: A Deep Distilled Model for Wearables to Enable Proactive Eldercare

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2025年

作者： Fahim, Muhammad Kazmi, S.M. Ahsan Sharma, Vishal Shin, Hyundong Duong, Trung Q. The School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast BelfastBT7 1NN United Kingdom Faculty of Computer Science and Creative Technologies University of the West of England Bristol United Kingdom Department of Electronics and Information Convergence Engineering Kyung Hee University 1732 Deogyeong-daero Giheunggu Yongin-si Gyeonggi-do446-701 Korea Republic of

Wearable devices are becoming affordable in our society to provide services from simple fitness tracking to the detection of heartbeat disorders. In the case of elderly populations, these devices have great potential to enable proactive eldercare, which can increase the number of years of independent living. The wearables can capture healthcare data continuously. For meaningful insight, deep learning models are preferable to process this data for robust outcomes. One of the major challenges includes deploying these models on edge devices, such as smartphones or wearables. The bottleneck is a large number of parameters and compute-intensive operations. In this research, we propose a novel knowledge distillation scheme by introducing a self-revision concept. This scheme effectively reduces model size and transfers knowledge from a deep model to a distilled model by filling learning gaps during the training. To evaluate our distilled model, a publicly available dataset, ‘growing old together validation (GOTOV)’ is utilized, which is based on medical-grade standard wearables to monitor behavioral changes in the elderly. Our proposed model reduces the 0.7 million parameters to 1500, which enables edge intelligence. It achieves a 6% improvement in precision, a 9% increase in recall, and a 9% higher F1-score compared to the shallow model for recognizing elderly behavior. © 2020 IEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

A Low-profile Broadband Dual-polarized Magneto-electric Dipole Antenna for 5G Applications

A Low-profile Broadband Dual-polarized Magneto-electric Dipo...

引用

World Congress on Computing and Communication Technologies (WCCCT)

作者： Yihuang Yang Botao Feng Xiao Ding Li Deng Wenzhe Gu Kwok L. Chung College of Electronics and Information Engineering Shenzhen University Shenzhen China Faculty of Humanities and Arts Macau University of Science and Technology Macau China College of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China School of Computer Science and Engineering Huizhou University Huizhou China School of Intelligent Manufacturing and Electrical Engineering Guangzhou Institute of Science and Technology Guangdong China

ISBN: (数字)9798331512620

ISBN: (纸本)9798331512637

This study proposes a compact wideband dual-polarized (DP) magneto-electric (ME) dipole antenna with cross-differential feeding, designed for 5G/6G millimeter-wave (mm-Wave) systems. The antenna features a geometrically symmetric configuration, integrating radiating elements and feeding networks into a single metallic layer, achieving a low-profile structure. By leveraging ME coupling mechanisms, the antenna supports dual-orthogonal polarization operation, offering a broad impedance bandwidth of 39.4% (26.3-39.1 GHz) under differential port excitation. Experimental results demonstrate excellent radiation performance, including highly symmetric radiation patterns, cross-polarization suppression below -30 dB, a gain range of 2.6-6.2 dBi, and an axial ratio (AR) below 2 dB across the operational band. The unified feed-radiator co-design effectively mitigates mm-Wave challenges such as narrow bandwidth and integration constraints commonly found in conventional dual-polarized antennas, which makes the proposed design a promising solution for compact MIMO arrays in the 28/39 GHz 5G NR bands.

关键词： Wireless communication Dipole antennas Magnetoelectric effects Microstrip antennas Directive antennas Antenna feeds Broadband communication Broadband antennas Wideband Gain

来源：评论

学校读者我要写书评

暂无评论

Development and Verification of an Original Method for Determining the Optimised Measurement Time with an Inspection Probe on a CNC Machine

Development and Verification of an Original Method for Deter...

引用

IEEE Metrology for Aerospace

作者： Michał Leleń Monika Kulisz Marcin Barszcz Jerzy Józwik Paweł Pieśko Kamil Cybul Daria Sałamacha Magdalena Zawada- Michałowska Department of Production Engineering Faculty of Mechanical Engineering Lublin University of Technology Lublin Poland Department of Organisation of Enterprise Management Faculty Lublin University of Technology Lublin University of Technology Institute of Computer Science Electrical Engineering and Computer Science Faculty Lublin Poland Lublin University of Technology Doctoral School of the Lublin University of Technology Lublin Poland Central Office of Measures Warsaw Lublin University of Technology Doctoral School at the Lublin University of Technology Lublin Polska

ISBN: (数字)9798350385045

ISBN: (纸本)9798350385052

The paper presents the results of temperature measurements after machining samples made of AW-2024 aluminum alloy and S235 steel. The temperature was measured at eight measurement points of examples. The machining process was performed using variable cutting parameters, i.e. wall thickness after machining, cutting depth and cutting speed. The results estimation was made based on the statistical analysis of the obtained measurements. The average values were used to determine the time courses of cooling curves. To perform calculations and numerical simulation, the artificial neural network algorithm of the Matlab 2023b package was used. Thanks to this, the time after which the workpiece can be measured with an inspection probe was determined. As a result, the measurement results showed that the use of artificial neural networks allows for accurate prediction of the start time of the probe measurement, which improves the efficiency of the process and minimizes prediction errors.

关键词： Temperature measurement Statistical analysis Measurement uncertainty Machining Artificial neural networks Inspection Prediction algorithms

来源：评论

学校读者我要写书评

暂无评论

Cyber Twin Technology for AI-Driven Real-Time Software Security in IoT Ecosystems

Cyber Twin Technology for AI-Driven Real-Time Software Secur...

引用

Mobile Networks and Wireless Communications (ICMNWC), IEEE International Conference on

作者： Krishna Chaitanya Sunkara Gulshan Dhasmana Ravi K S Nayana Yadav M Ishan Desai Rajmani Shankar Oracle Cloud Engineering Data Center Design & Modeling AL/ML Expert North Carolina USA Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Mechanical Engineering Vidyavardhaka College of Engineering Mysuru India Department of Computer Science and Engineering AJ Institute of Engineering and Technology Mangalore India Department of Electrical Engineering Faculty of Engineering and Technology Parul institute of Engineering and Technology Parul University Gujarat India Faculty of Law Symbiosis Law School Symbiosis International (Deemed University) Pune India

ISBN: (数字)9798331528348

ISBN: (纸本)9798331528355

As Internet of Things (IoT) ecosystems grow more complex, ensuring real-time security has become a major challenge. Traditional security approaches are insufficient for handling dynamic and interconnected IoT networks, which are increasingly targeted by sophisticated cyber-attacks. To address these issues, new methodologies that combine real-time monitoring and adaptive security mechanisms are needed. Cyber Twin technology, an innovative extension of digital twin technology, presents a promising solution by creating AI-driven digital replicas of IoT devices and software systems for continuous security monitoring and management. This paper introduces a Cyber Twin Technology Framework for AI-driven real-time software security in IoT ecosystems. The framework employs advanced AI models, including Convolutional Neural Networks (CNNs) for anomaly detection and Generative Adversarial Networks (GANs) for synthetic data generation to simulate potential attack scenarios. A dynamic reinforcement learning module is integrated to optimize threat response strategies based on evolving threat patterns. By creating real-time digital replicas of IoT components, the Cyber Twin framework continuously monitors device behaviors, identifies anomalies, and autonomously initiates mitigation actions. The system is evaluated in a simulated IoT environment with over 500 interconnected devices. Experimental results demonstrate that the Cyber Twin framework achieved a 99.2% detection accuracy in identifying cyber threats, with a false positive rate of 1.3%. The dynamic response module reduced incident response time by 35% compared to traditional methods, enhancing the system's ability to neutralize potential threats in real-time. The use of GAN-based synthetic data also enabled proactive defense strategies, reducing attack success rates by 40% during testing. The Cyber Twin Technology Framework provides a robust solution for real-time software security in complex IoT ecosystems. By leveraging A

关键词： Accuracy Ecosystems Software systems Real-time systems Threat assessment Internet of Things Security Time factors Monitoring Synthetic data

来源：评论

学校读者我要写书评

暂无评论

A New, Reconfigurable Circuit Offering Functionality of AND and OR Logic Gates for Use in Algorithms Implemented in Hardware

A New, Reconfigurable Circuit Offering Functionality of AND ...

引用

International Conference on Microelectronics, MIEL

作者： Tomasz Talaśka Rafał Długosz Tatjana Nikolić Goran Nikolić Tomasz Stefanśki Michał Długosz Michał Talaśka Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland Aptiv Services Poland Kraków Poland Faculty of Electronic Engineering University of Niš Niš Serbia Faculty of Electronics Telecommunications and Informatics Gdanśk Univeristy of Technology Gdanśk Poland Faculty of Control Robotics and Electrical Engineering Poznan University of Technology Poznan Poland Complex of Electronics Schools Bydgoszcz Poland

The paper presents a programmable (using a 1-bit signal) digital gate that can operate in one of two OR or AND modes. A circuit of this type can also be implemented using conventional logic gates. However, in the case of the proposed circuit, compared to conventional solutions, the advantage is a much smaller number of transistors necessary for its implementation. Circuit is also much faster than its conventional counterpart. The logic gate was implemented in the 180nm CMOS technology and verified using Hspice simulations. There are many possible applications for this gate, mostly in artificial intelligence and pattern recognition algorithms implemented at the transistor level.

关键词：

来源：评论

学校读者我要写书评

暂无评论

First Order Features Extraction from Thermal Images for Human State Recognition

First Order Features Extraction from Thermal Images for Huma...

引用

International Symposium on electrical and Electronics engineering (ISEEE)

作者： Simona Moldovanu Sorin Pavel Dorel Aiordachioaie Department of Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics Dunarea de Jos University of Galati Galati Romania Department of Electronics and Telecommunications Faculty of Automation Computers Electrical Engineering and Electronics Dunarea de Jos University of Galati Galati Romania

Due to the common limitation of the human visual system, internal features of thermal images cannot be fully discovered. To overcome these drawbacks, a lot of studies analyzed the facial expressions corroborating the features extracted from thermal images with machine learning tools. This paper proposed the first-order features extracted from the image histogram and a binary classification performed by the k-nearest neighbor algorithm (K-NN). The proposed method tests separately the performance of different input data, firstly, the features were extracted from raw images and the robustness of the K-NN algorithm led to an accuracy of 92.6%. Secondly, the features were extracted sequentially from corrupted images with noise. The novelty of the proposed method consists of verifying the quality classification when the images have bad quality, in this case, the accuracy decreased to 70.7%, as a result, the classification of facial expressions is sensitive to the quality of images.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Integrating IoT and Cloud for Enhanced Autonomous Vehicle Safety

Integrating IoT and Cloud for Enhanced Autonomous Vehicle Sa...

引用

Communications and Networking (MECOM), IEEE Middle East Conference on

作者： Mohsin Murtaza Mohsin Iftikhar Mansoor Syed Raza Zeeshan Hameed Mir Mohammed J. Abdulaal Nidal Nasser STEM College RMIT University Melbourne Australia Faculty of Computer Information Science (CIS) Higher Colleges of Technology (HCT) Fujairah UAE Dept. of Electrical and Computer Engineering King Abdulaziz University Jeddah Saudi Arabia College of Engineering Alfaisal University Riyadh Saudi Arabia

ISBN: (数字)9798350376715

ISBN: (纸本)9798350376722

Autonomous Vehicles (AVs) require constant sensing and accurate identification of dynamic environmental conditions for prompt decision-making. Limited onboard processing capabilities can impede these vehicles’ ability to distinguish between road obstacles and harmless objects such as plastic bags, posing potential safety risks. This study examines a reallife fatal crash to highlight the dangers of relying solely on invehicle sensory data. It underscores the importance of employing multiple communication and sensing systems to ensure safe AV operation. The paper advocates for the integration of both onboard sensors and extensive communication networks that connect vehicles with each other and cloud-based resources. This approach facilitates enhanced data processing and the exchange of information critical for improving obstacle detection and managing blind spots. Furthermore, the study proposes an intelligent cloud-connected ecosystem that incorporates advanced network connectivity solutions to match the high speeds of autonomous vehicles, enabling real-time decision-making. This ecosystem aims to ensure seamless information and sensory data flow, which is essential for effective decision-making in autonomous vehicle navigation.

关键词： Clouds Roads Ecosystems Decision making Transportation Standardization Safety Vehicle dynamics Autonomous vehicles Edge computing

来源：评论

学校读者我要写书评

暂无评论

UM_FHS at TREC 2024 PLABA: Exploration of Fine-tuning and AI agent approach for plain language adaptations of biomedical text

arXiv

引用

arXiv 2025年

作者： Kocbek, Primoz Kopitar, Leon Zhang, Zhihong Aydın, Emirhan Topaz, Maxim Stiglic, Gregor University of Maribor Faculty of Health Sciences Slovenia University of Ljubljana Faculty of Medicine Slovenia University of Maribor Faculty of Electrical Engineering and Computer Science Slovenia Columbia University School of Nursing United States Manisa Celal Bayar University Turkey University of Edinburgh Usher Institute United Kingdom

This paper describes our submissions to the TREC 2024 PLABA track with the aim to simplify biomedical abstracts for a K8-level audience (13–14 years old students). We tested three approaches using OpenAI’s gpt-4o and gpt-4o-mini models: baseline prompt engineering, a two-AI agent approach, and fine-tuning. Adaptations were evaluated using qualitative metrics (5-point Likert scales for simplicity, accuracy, completeness, and brevity) and quantitative readability scores (Flesch-Kincaid grade level, SMOG Index). Results indicated that the two-agent approach and baseline prompt engineering with gpt-4o-mini models show superior qualitative performance, while fine-tuned models excelled in accuracy and completeness but were less simple. The evaluation results demonstrated that prompt engineering with gpt-4o-mini outperforms iterative improvement strategies via two-agent approach as well as fine-tuning with gpt-4o. We intend to expand our investigation of the results and explore advanced *** Codes 68T50, 92-08 © 2025, CC BY-NC-ND.

关键词：

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：