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An Assembly Instruction Question Answering System Based on Knowledge Graph 1st

An Assembly Instruction Question Answering System Based on K...

引用

1st international conference on Applied Intelligence, ICAI 2023

作者： Zhang, Yu Gan, Liangzhi Pi, Xueyu School of Electrical Engineering and Automation Jiangsu Normal University Xuzhou221116 China

ISBN: (纸本)9789819708260

Due to the widespread use of computers, assembly language is indispensable in operating computer software. Learning assembly language is particularly important. However, it requires strong logical and spatial imagination, making it difficult to learn and master. In order to enhance the efficiency of learning assembly language, this paper proposes the use of Chinese language to learn assembly language and designs a Knowledge Graph-based Assembly Language Question Answering (KG-ALQA) System. Taking the assembly language of the 8051 microcontroller as an example, firstly, we construct a knowledge graph of 8051 assembly language. Secondly, We construct a KG-ALQA system that utilizes templates to enable Chinese-to-8051 assembly language question answering (QA) functionality. Finally, to address the problem of template limitations in the KG-ALQA system, We propose a joint Transformer model to enhance the flexibility and accuracy of the system. Experimental results show that utilizing knowledge graph (KG) and deep learning techniques can effectively achieve Chinese-to-8051 assembly language QA functionality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep learning

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Variable Scale Gesture Recognition: A Dataset and Comprehensive Analysis 3

Variable Scale Gesture Recognition: A Dataset and Comprehens...

引用

3rd international conference on Robotics, automation and Intelligent Control, ICRAIC 2023

作者： Li, Zhaoyu Xu, Tao Yang, Xiaohui Sun, Jiahui Zhu, Guangze University of Jinan School of Information Science and Engineering Jinan China

ISBN: (纸本)9798350360813

Dynamic gesture recognition plays an important role in natural human-computer interaction. Gesture image sequences can express more complex interaction intentions. Currently, the majority of dynamic gesture recognition algorithms are trained using fixed-length gesture sequences. However, the rate, amplitude, and angle of gestures differ across individuals, which presents a challenge to the effectiveness of existing dynamic gesture recognition algorithms. To address this challenge, we propose a variable scale gesture dataset. This dataset contains six types of dynamic gestures with different sequence lengths. In the experiments, we utilized major algorithms, including Two-Stream, C3D, CRNN and I3D, to test and evaluate their performance. Although current algorithms have been able to achieve high recognition rates for fixed-length sequences, they are unable to directly recognize variable-length sequences. The dataset includes four types of static gestures that can be used for dynamic gesture keyframe recognition and start/stop frame determination. The dataset proposed in this paper is expected to advance research in variable scale gesture recognition. © 2023 IEEE.

关键词： Gesture recognition

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Permission-Based Android Malware Identification 2

Permission-Based Android Malware Identification

引用

2nd international conference on Advancements in Electrical, Electronics, Communication, Computing and automation, ICAECA 2023

作者： Senthilkumar, V. Devasenan, M. Karan, J. Ravina, C. Sneka, V. Kavipriya, T. Kumaraguru College of Technology Computer Science & Engineering Coimbatore India

ISBN: (纸本)9798350306811

Modern society has made mobile devices a necessary component in the daily lives of humans, and malware is growing at the same time. Users often utilize Android programs to conduct a variety of tasks, and the security of these applications depends on the rights that users provide to them. Malware attackers now frequently target the Android platform. Before installing an application, it is crucial to utilize a method to identify Android malware. Then, models were created using various machine-learning approaches by examining the current malware activity patterns and applying the information to identify any similar behavior carried out by unidentified attackers. So, a system that can recognize permission requests that are often asked or not asked by comparable applications might be used to reduce the chance of becoming a victim of the malware. There is no existing method for a person to verify that any application he installs for usage isn't malware. Instead, he must trust the application vendor. This gives us the opportunity to suggest and create a system that may really alert the user if any discrepancies are discovered in the permission list that is obtained from them. © 2023 IEEE.

关键词： Android malware

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Tracking and Security Features Enhancement in a Smart School Bus Using IoT

Tracking and Security Features Enhancement in a Smart School...

引用

2023 international conference on IoT, Communication and automation Technology, ICICAT 2023

作者： Abhay Surya, R.L. Likith, A.S. Guruprasad, N. Global Academy of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350302820

Public transportation systems are often not taken into account by the parents as a mode of transport, due to the risks and lack of safety measures they possess. The Internet of Things (IoT) based applications and devices implemented in these School buses, rectify the concerns amongst the parents to have a trustworthy infrastructure. The system provides a solution to meet safety requirements by consistent student tracking using RFID and GPS technologies to report boarding and deboarding time of the student passing through 2 checkpoints, real-time bus location, and speed tracking to abide by the rules. Furthermore, a dual authentication to confirm that no unauthorised person can access the bus system, and surveillance IP camera for indoor monitoring. Sensors like Door sensors and Proximity sensors connected to Arduino Uno are used to mark the onboard and post-deboarding safety to depict a child's presence in the red zones, respectively. This can nullify or drastically bring down the occurrence of any undesirable instances. A mobile application displaying all the necessary information is made available for the ease of parents. Overall, the proposed system can uplift the safety of school children while travelling, providing parents with a stress-free and worriless environment. © 2023 IEEE.

关键词： Radio frequency identification (RFID)

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Attention Mechanism Based Full-face Gaze Estimation for Human-computer Interaction 5

Attention Mechanism Based Full-face Gaze Estimation for Huma...

引用

5th international conference on computer Network, Electronic and automation, ICCNEA 2022

作者： Zhuang, Jiayi Wang, Changyuan Xi'an Technological University School of Computer Science and Engineering Xi'an China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

Due to the expanding application field of gaze estimation, gaze estimation has become an important research topic in human-computer interaction and computer vision. Most of the current mainstream methods for gaze estimation during HCI are based on a sing-camera and single-screen system. In order to address the issues of gaze estimation for multi-camera multi-screen systems, this paper explores the use of a deep learning model, the residual neural network (ResNet50) plus an attention mechanism, to estimate the operator's point of gaze (PoG) on the screen in the flight simulator. First, the front face image is obtained from the three images by preprocessing, and then ResNet is used to regress the PoG. The results show that the inclusion of the attention mechanism enhances the network effect, in which the smallest prediction error is found for on-screen PoG using ResNet50+ECANet compared to SENet and CBAM. © 2022 IEEE.

关键词： Human computer interaction

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Light-Weight Deep Learning Model for Human Action Recognition in Videos 6

Light-Weight Deep Learning Model for Human Action Recognitio...

引用

6th international conference on Information Systems and computer Networks, ISCON 2023

作者： Kumar, Rahul Kumar, Shailender Delhi Technological University Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9798350346961

Human Action Recognition (HAR) from a visual stream has recently attained much researcher consideration in the domain of computer vision. Due to its large applications like monitoring of health, home automation, and tele-immersion, among others. However, it still faces human variances, occlusion, lighting changes, and complicated backgrounds. The evaluation criteria rely on the features collection approach as well as learning data being performed correctly. The success of Deep Learning (DL) has resulted in a variety of impressive outcomes, including neural networks. Nonetheless, a robust features vector is required for an efficient classifier to give the class label. Features serve as the essential component of any data set. Indeed, feature extraction may affect the algorithm's performance and computational cost. For this research framework, we used pre-trained deep learning models VGG19, Dense Net and Efficient Net for feature extraction from the sequence of images and classified each action with the help of the SoftMax layer. UCF50 action dataset used, which contains 50 sections and evaluates performance with the help of precision, recall, f1-score and AUC score. Testing accuracy from models achieved VGG19-90.11, DenseNet-92,57 and EfiicientNet-94.25.. © 2023 IEEE.

关键词： Deep learning

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Multi-Layer Insight into Neurodegenerative Diseases: Big Data and AI Perspectives 2

Multi-Layer Insight into Neurodegenerative Diseases: Big Dat...

引用

2nd IEEE international conference on IoT, Communication and automation Technology, ICICAT 2024

作者： Falih, R.K. Shoushtarian, Bijan Morteza Kareem, Zaid Hikmat Jassim, Haqqi Ismail Al-Farouni, Mohammed Safi, Hassan Hashem, Amjad The University of Mashreq Baghdad10021 Iraq Mazaya University College Thi-Qar Iraq Kut University College Business Administration Department Wasit Al Kut52001 Iraq Uruk University Baghdad Iraq The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Al-Farahidi University Baghdad Iraq Al-Kunooze University College Computer Engineer Department Basra Iraq

ISBN: (纸本)9798350368109

The study of neurodegenerative diseases has thus given artificial intelligence an opportunity to solve traditional problems within the context of the big data era. Most neurodegenerative disorders are associated with complex genetic fingerprints that are currently the center of intense contemporary study. Multiomic data, when combined with neuroimaging and electronic health record data, might become important in making the most detailed patient profile workable. Deep learning will make it feasible to generate intractable profiles for early pathologic diagnosis, better treatment personalization, and valuable insights into neurodegenerative diseases for drug development and repurposing. In this sense, this paper delves into how relevant research has sought to demonstrate with the available data sources in biomedicine that deep learning may play a pivotal role in getting a more precise understanding of the mechanisms behind neurodegenerative diseases such as Alzheimer's and Parkinson's. Diseases that are associated with a neurodegenerative course, like Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis (ALS), create complex challenges because of their multifactorial etiologies and heterogeneous pathologies. The birth of big data and artificial intelligence (AI) has inexorably shifted the landscape of research on neurodegenerative disorders through innovative insights and opportunities for the understanding of these conditions. This abstract investigates the multi-layered approach to neurodegenerative diseases facilitated by big data and AI. AI uses vast datasets from genomics, proteomics, neuroimaging, and clinical records to develop machine learning and deep learning skills to recognize patterns and relationships, predict disease progression, and find new biomarkers and therapeutic targets. Major findings include considerably improved diagnostic accuracy, personalized therapeutic approaches, and identification of disease mechanisms that are now known to be dr

关键词： Electronic health record

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Towards Collaborative Aerial Swarming Architecture for Military Applications 23

Towards Collaborative Aerial Swarming Architecture for Milit...

引用

23rd international conference on Control, automation and Systems, ICCAS 2023

作者： Hughes, Jason Kim, Dongbin Henderson, Steve Manjunath, Pratheek United States Military Academy Department of Electrical Engineering & Computer Science West PointNY10996 United States

ISBN: (纸本)9788993215274

The United States Department of Defense (DoD) has long been interested in aerial swarms for military intelligence, surveillance, and reconnaissance (ISR) missions. Through work with DoD partners, we found a unique need for a dynamic task allocation (TA) algorithm for a swarm of unmanned aerial systems (UAS). Capable control algorithms have already been developed but deploying such algorithms in an actual swarm, reliably, requires information exchange and data organization among the agents. To this end, we introduce a collaborative aerial swarming architecture (CASA), capable of dynamic task allocation and decentralized control. We highlight, through CASA, how this algorithm can be applied to ISR tasks. Finally, we present the results of deploying CASA on a simulated swarm of UAS for a notional ISR task. © 2023 ICROS.

关键词： Antennas

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Highly Sensitive Flexible Resistance Strain Sensor Based on PDMS and Silver Nanowire 3

Highly Sensitive Flexible Resistance Strain Sensor Based on ...

引用

3rd international conference on computer, Control and Robotics, ICCCR 2023

作者： Sun, Weiming Liu, Mei Djoulde, Aristide Liu, Xinyue School of Mechatronic Engineering and Automation Shanghai University Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai200444 China

ISBN: (纸本)9781665492126

Flexible sensing film has a broad application prospect in the fields of medicine, wearable electronic devices, complex environment sensing, and others. In this paper, dimethylsiloxane (PDMS) was used as a flexible substrate to prepare composite conductive films by covering silver nanowires (AgNWs) with specific lines on the substrate surface. The resistance change of the sensor is mainly caused by the change in the number of contact points between AgNWs on the film surface, which has higher linearity than the traditional resistance strain gauge. The sensor is very sensitive and has a very good measuring effect on the pressure of 0-6N and the micro-bending caused by 0-1N. Common sensors made of micro-nano materials are usually affected by transverse strain. The sensor in this experiment designs a special circuit structure, which can effectively avoid the lateral effect. The sensor also has the characteristic of self-recovery, which can achieve self-recovery under a certain degree of damage. It can be used to detect small changes in the skin. © 2023 IEEE.

关键词： Substrates

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Optimizing B2B Relationships with Post-Covid Sales and Marketing automation Through ERP Implementation: A Value-Driven Approach in Bangladesh 20

Optimizing B2B Relationships with Post-Covid Sales and Marke...

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20th international conference on Smart Business Technologies, ICSBT 2023

作者： Akthar, Sayeda Rahnuma Khan, Mohammad Sajjad Sadia, Farzana Hasan, Mahady Department of Computer Science Independent University Bangladesh Dhaka Bangladesh Department of Computer Science and Engineering Independent University Bangladesh Dhaka Bangladesh Perlis Malaysia

ISBN: (纸本)9789897586675

Enterprise Resource Planning (ERP) is a powerful software program created to combine and streamline several company processes. Companies in developed countries frequently use it to increase their general effectiveness. ERP enables companies to meet the specific demands, interests, and behaviours of their customers, who are increasingly seeking individualized experiences. Even with the help of an implementation partner, deploying ERP properly necessitates a solid understanding of the involved process. During the implementation stage, effective communication and responsibility sharing can be challenging. The main goal of this paper is to create a thorough guidebook that offers insightful advice to businesses and their clients throughout the whole ERP deployment process. Six interviews were done to obtain information and address any implementation-related worries in order to accomplish this. These talks led to the creation of an implementation handbook that addressed important challenges and offered useful solutions. A methodology model diagram is also suggested to act as a visual roadmap for an organized and fruitful ERP installation. The objective is to equip businesses and their clients with the information and resources they need to successfully complete the deployment process and get the most out of their ERP system. © 2023 ICSBT international conference on Smart Business Technologies. All rights reserved.

关键词： Sales

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