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检索条件"任意字段=11th International Conference on Computer-Aided Design and Computer Graphics"

共 8485 条记录，以下是921-930 订阅

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High-level Features in Deeper Deep Learning Layers for Breast Cancer Classification 11

High-level Features in Deeper Deep Learning Layers for Breas...

引用

11th IEEE international conference on Control System, Computing and Engineering (ICCSCE)

作者： Razali, Noor Fadzilah Isa, Iza Sazanita Sulaiman, Siti Noraini Karim, Noor Khairiah A. Osman, Muhammad Khusairi Univ Teknologi MARA Sch Elect Engn Coll Engn Cawangan Pulau Pinang George Town Malaysia Univ Sains Malaysia Bertam Adv Med & Dent Inst Regenerat Med Cluster Kepala Batas Pulau Pinang Malaysia

ISBN: (纸本)9781665412810

Early detection of breast cancer is crucial when treating than cure in later mammogram screening processes. To date, researchers extensively proposed the implementation of artificial intelligence to develop a computer-aided system (CAD) to determine types of breast tumour lesion, whether benign or malignant. this approach is significant to minimise the rate of misinterpretation in false positive and false negative diagnosis results among radiologists. Lack of established medical datasets publicly available has become the main reason why the system is not fully implemented in clinical settings yet. this study is aimed to investigate the performance of a convolutional neural network (CNN) to detect cancerous lesion types. the pre-trained CNN networks are tested on two established public datasets, CBISDDSM and INbreast. Pre-processing using denoising and contrast limited adaptive histogram equalisation (CLAHE) and augmented to lessen the effect of overfitting. the pre-trained CNNs AlexNet and InceptionV3 represent shallow and deeper neural networks respectively, trained using the transfer learning method. Performance of the system is tested and its accuracy, losses, sensitivity, specificity, and receiver operating characteristic curve (ROC) are evaluated. the InceptionV3 network performs better with the highest testing and area under the curve (AUC) at 99.93% compared to shallower AlexNet at 98.92% using INbreast dataset. Training the system using augmented data is proven to improve testing accuracy at 86.7% from 60.26% using a non-augmented dataset in low-quality input images. Meanwhile, using a shallower network for transfer learning produces high accuracy results without compromising computational cost. this study serves as the platform to improve the system's performance by varying the pretrained networks used and getting different features from each convolutional layer to be trained in the future.

关键词： Breast cancer mammogram convolutional neural network augmentation computer-aided system (CAD)

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Build Bridges between Conversation, Story, Visual Programming, and Text-based Programming in K-8 Education

Build Bridges between Conversation, Story, Visual Programmin...

引用

Information and Education Technology (ICIET), international conference on

作者： Yueming Yang Chase Augustine Christopher Werts Yongzhe Wang Jordan Sherwin Department of Computer Science Baldwin Wallace University Berea USA

In this paper, we create a learning path and curate projects that let students learn certain computational concepts in a consistent way that bridges story, conversation, visual programming, and text-based programming. Our approach is to provide young children with both visual and text-based programming materials that are directly associated with the computational logic in some selected children’s daily dialogues and stories. We demonstrate this combo-design idea with examples of roleplaying, Snap! program, and Python code. Our design pattern and examples could be adapted to other suitable children’s activities in different school settings on a variety of technology platforms.

关键词： Bridges Visualization Codes Education Oral communication Programming Writing

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Gaze Detection and Text Extraction from Images using CNN with DBSCAN-based Filter design

Gaze Detection and Text Extraction from Images using CNN wit...

引用

international conference on Advanced computer Control, ICACC

作者： Jithin Jose Ajeesh Ramanujan Dept. Of Computer Science And Engineering College Of Engineering Trivandrum Trivandrum India

ISBN: (数字)9798350379136

ISBN: (纸本)9798350379143

Gaze detection and text extraction are pivotal technologies in the domain of human-computer interaction and computer vision, enabling applications such as assistive technologies, user interface optimization, and automated content analysis. this paper presents a novel method that identifies the user’s gaze direction and extracts the necessary portion of text, which constitutes the user’s region of interest, using a Convolutional Neural Network (CNN) integrated with a spatial attention mechanism. A Density-Based Spatial Clustering of Applications with Noise (DBSCAN)-based filter is incorporated into the system to remove textual noise from the extracted image, thereby improving the model’s accuracy and reducing computation time. the proposed method demonstrates reduced dependency on the CNN compared to previous approaches, resulting in enhanced real-time operation capability and lower latency. Computational optimization and real-time performance were thoroughly evaluated, showing that our system not only achieves high accuracy in gaze detection and text extraction but also maintains efficient processing speeds suitable for dynamic applications. this advancement offers significant improvements for applications in assistive technology, educational tools, and interactive media, where precise and efficient gaze detection and text extraction are critical.

关键词： Human computer interaction computer vision Accuracy Content management Noise Assistive technologies Media Real-time systems Convolutional neural networks Optimization

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TCMP and CHIPPER Router design for Power Efficient Network on Chips

TCMP and CHIPPER Router design for Power Efficient Network o...

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11th international conference of computer Communication and Informatics (ICCCI)

作者： Mulajkar, Ashish A. Sinha, Sanjeet K. Patel, Govind Singh Lovely Profess Univ Sch Elect & Elect Engn Phagwara Punjab India IIMT Coll Engn Dept Elect & Commun Engn Greater Noida UP India

ISBN: (纸本)9781728158754

Network on Chip (NoC) is an emerging design platform for on chip connections which overcomes issues faced by conventional bus build communication. the main aim in design of any NoC is to reduce average latency and deflection rate without reducing the operating speed. To overcome the surge in design area as well as Static and Dynamic power consumption issues in case on normal VC (Virtual Channel) based router, deflection routing concept has been suggested. the routing process used in case of BLESS (Buffer Less Router) depends upon deflection of packets to an unintended port. To curtail excess power consumption and design area, researchers have come up with buffer less and littlest buffer router. In this paper Tiled Chip Multiple Processor (TCMP) and CHIPPER router parameter details are discussed. Permutation deflection logic is used in this paper. Results shows that as compared to normal VC Buffer router, CHIPPER Router reduces Normalized Router area by 36.2% compared to BLESS Router, Normalized Critical Path is reduced by 29.1% while is almost same as compared to a normal VC Buffer Router

关键词： Network on Chip Tiled Chip Multiple Processor CHIPPER latency deflection

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Towards an Efficient and Secure Cache Management Using Apriori-Based Interests Prediction in Named Data Networking

Towards an Efficient and Secure Cache Management Using Aprio...

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Intelligent Systems and Embedded design (ISED), international conference on

作者： Chaker Abdelaziz Kerrache Geetanjali Rathee Younes Guellouma Hocine Gasmi Benameur Ziani Dpt. of Computer Science Université Amar Telidji de Laghouat Laghouat Algeria Dpt. of Computer Science and Engineering Netaji Subhas University of Technology New Delhi India

Cache management is an important component in any network and it has even more importance in the Future Internet Architectures (FIAs) including Named Data Networking (NDN), because the caches play the key role in reducing the overall network latency and scalability. In this paper, we discuss the functionality of cache management in NDN, its types as well as its importance for the NDN architecture. In addition, we propose a machine learning-empowered cache management and interests predication for NDN to only preserve the cache only to the secure and really needed data. Our proposal uses Apriori algorithm which is supervised learning algorithm to find the association rules and then to recommend the next requested data. Implementation and experiments on real data traffic depicted that the network’ performance and its influence on the cache increased by 3.2% for two content store sizes of 20 and 40 MB. In addition, a larger cache size of 80 MB shows an increase of the cache hit ratio reaching 90% and hence, clearly reducing the network latency.

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A Study on Compact Microstrip Antenna design for Advanced Wireless Applications

A Study on Compact Microstrip Antenna Design for Advanced Wi...

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11th international conference of computer Communication and Informatics (ICCCI)

作者： Praveena, A. Aqeel, Shaik Ponnapalli, V. A. Sankar Sireesha, P. Sreyas Inst Engn & Technol Dept Elect & Commun Engn Hyderabad India

ISBN: (纸本)9781728158754

A study on compact antennas for fifth generation wireless communication, which operates at K and Ka band frequencies are discussed in this paper. the antenna miniaturization is achieved by making simple rectangular slots on the patch. the overall size of the antenna is 6.3 mmx6.0 mm the proposed patch size is 4.6mmx3.6 mm, which means a notable miniaturization ratio has been achieved. the discussed antennas are designed on RogersRT5880 substrate considering a thickness of 0.787mm the maximum gain of 7.43 dB at 24.1GHz is achieved for antenna I. the presented antennas are designed and simulated using High Frequency Structure Simulator (HFSS).

关键词： Compact dual band miniaturization ratio patch antenna 5G applications

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11th international Congress of Telematics and Computing, WITCOM 2022

11th International Congress of Telematics and Computing, WIT...

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11th international Congress of Telematics and Computing, WITCOM 2022

ISBN: (纸本)9783031180811

the proceedings contain 30 papers. the special focus in this conference is on Telematics and Computing. the topics include: Storytelling to Visualize Changes in Regions Based on Social Inclusion Indicators;Open edX as a Learning Remote Platform for Mexico City-IPN;implementation of Time-Frequency Moments for the Classification of Atrial Fibrillation Sequences through a Bidirectional Long-Short Term Memory Network;Construction of a Technological Component to Support ISMS for the Detection of Obfuscation in computer Worm Samples;design and Implementation of an Interactive Photoplethysmography and Galvanic Skin Response Based Gamepad;Simulation and Implementation of an Environmental Monitoring System Based on LPWAN/IoT;blockchain Technology Applied to Health Care Supply Chain;analysis of Music Provenanced of Intelligence Artificial and its Possible Advantages in therapeutic Non-pharmacologic;Methodology for the Acquisition and Forensic Analysis of a Remote Piloted Aircraft System (RPAS);adaptive Based Frequency Domain Filter for Periodic Noise Reduction in Images Acquired by Projection Fringes;multiobjective Model for Resource Allocation Optimization: A Case Study;reinforcement Learning Applied to Position Control of a Robotic Leg: An Overview;Digital Transformation of Higher Education: Mexico City-IPN as a Practical Case;an Approach to Simulate Malware Propagation in the Internet of Drones;gamification and Usability in Educational Contexts: A Systematic Review;groups in the Educational Institutions, a Glance from the Administration Perspective;senior Citizens’ Training Experience in Secure Electronic Payment Methods;Study of Energy Consumption of UAVs to Temporarily Assist Wireless Communication Systems;validation of Security Variables for Audits in Wireless Wi-Fi Networks;integration of a Virtual Object on Formative Object Oriented Programming for the Emavi Military Aviation School Cadets;spatio-Temporal Analysis in Open Dataset from Respiratory Diseases;monitoring a

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design of S-Box Based on Chao Initialized RC4

Design of S-Box Based on Chao Initialized RC4

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11th international conference of computer Communication and Informatics (ICCCI)

作者： Hanchinamani, Gururaj Narayan, D. G. Savakknavar, Rekha KLE Technol Univ Sch Comp Sci & Engn Hubballi Karnataka India

ISBN: (纸本)9781728158754

S-box is an important component of block ciphers because it is the only nonlinear component for most of the block ciphers such as AES, DES and IDEA. In this paper a new method of generating S-box based on chao initialized RC4 stream cipher is presented. Pomeau-Manneville chaotic map is employed to generate initial values for RC4. then S-box is constructed by using RC4 stream cipher. the security analysis of the proposed method is evaluated using criteria such as bijective property, nonlinearity, strict avalanche criterion, bit independence criterion and differential probability. the proposed method satisfies all the criteria and differential probability result is better than the existing schemes.

关键词： S-box RC4 Chaos Cryptography Nonlinearity

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Learning to Prompt for Vision-Language Emotion Recognition

Learning to Prompt for Vision-Language Emotion Recognition

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international conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

作者： Hongxia Xie Hua Chung Hong-Han Shuai Wen-Huang Cheng the Institute of Electronics National Yang Ming Chiao Tung University Department of Electrical and Computer Engineering National Yang Ming Chiao Tung University Department of Computer Science and Information Engineering National Taiwan University (NTU)

In the realm of vision-language tasks, the selection of prompts plays a crucial role in determining model performance, particularly in complex tasks such as emotion recognition. Despite the promise shown by models like CLIP and CoOp, their performance can exhibit significant variability, contingent upon the selection and adaptability of prompts. Addressing this challenge, this paper introduces an innovative method that exploits the philosophy of learning to learn. this novel approach facilitates the design of an emotion recognition model capable of dynamically optimizing prompt selection according to the specific demands of a given task. We empirically demonstrate that our approach outperforms established models such as CLIP and CoOp in both few-shot and zero-shot settings across three datasets, indicating its potential to enhance the generalization and adaptation capabilities of vision-language emotion recognition models.

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SQL and NoSQL Object-Database Mapping Using Property Graphs in Relational Cases

SQL and NoSQL Object-Database Mapping Using Property Graphs ...

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international conference on Electrical Engineering, computer Science and Informatics (EECSI)

作者： Billy Montolalu Siti Rochimah Daniel Siahaan Informatics Department Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

this paper discusses the inherent challenges of SQL and NoSQL object mapping, primarily focusing on the heterogeneity of data models and its impact on database relationship. In NoSQL databases, relationships between entities can be defined using references or embedded objects. Each method has its advantages and trade-offs, and different NoSQL DBMS adopt different strategies based on their design principles and use cases. We examine how different SQL Database Management Systems (DBMS) handle relationships between entities, specifically comparing the use of embedded objects in MongoDB with the graph-based reference system in Neo4J. Object mapping is built using property graphs that represent the schema in the database. the framework was tested using the hospital information system medical record module. the results of this study show that the object mapping that has been built can run query commands on three distinct types of databases: MySQL, MongoDB, and Neo4j.

关键词： Electrical engineering computer science Hospitals NoSQL databases Focusing Data models Informatics

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