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Surveillance based Child Kidnap Detection and Prevention Assistance 7

Surveillance based Child Kidnap Detection and Prevention Ass...

引用

7th IEEE international conference for convergence in technology, I2CT 2022

作者： Kodikara, K.A.O.V. Hettiarachchi, Pramodya Prathapa, D.M.J. Jayakody, J.M.A.M.S. Haddela, Prasanna S. Sri Lanka Institute of Information Technology Faculty of Computing Sri Lanka

ISBN: (纸本)9781665421683

This research paper is based on child kidnap detection and prevention to identify susceptible child kidnap by unauthorized persons. The intelligent surveillance system proposed for this is known as "AICare". The purpose behind developing a proper kidnap detection methodology is to enhance and strengthen the existing child security systems. The key is to identify the main characteristics of a kidnapper in real-time, which follows face recognition, speed detection and object detection theories. Face recognition is used to identify whether the outlined individual has covered his body, especially his face, to hide the true identity, or else the person's face is directly processed for authentication. Speed detection is helpful in calculating movement speed and capturing whether the targeted individual is moving in a hurry. Finally, the stranger is subjected to object detection in order to classify whether he/she is handling a sharp object or not. The captured outcomes are subjected to a decision tree to resolve the person as a kidnapper suspect. The system results in an overall accuracy that is above 90%. As this solution is child-sensitive and responsive, it provides a long term platform that can real-time monitor for potential kidnap based on the kidnapper characteristics to support the working from home parents to take care of their children during crucial times. © 2022 IEEE.

关键词： Object detection

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Proportionate Conjugate Gradient Algorithm for Sparse Systems

Proportionate Conjugate Gradient Algorithm for Sparse System...

引用

international conference on computing and Networking technology (ICCNT)

作者： Shila Dhande Rajib Lochan Das Department of Electronics and Communication DAIICT Gandhinagar India Department of Electronics and Computer KJSCE Mumbai India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

For colored input, the Recursive Least Square (RLS) technique is employed to achieve a higher computational complexity but a faster convergence rate. Recently, For lesser computational complexity, the conjugate gradient (CG) algorithm has replaced the RLS algorithm as it yields a similar convergence rate with. In this paper, a sparse CG algorithm is proposed by introducing a proportional gain matrix in its update equation to obtain further improvement in the convergence rate for identifying sparse systems with colored inputs. The proposed algorithm provides a better convergence rate as the active taps (AT) get higher step size and thus converge fast. Incorporation of the gain function is made tactfully to obtain improvement in its overall performance. Simulation findings demonstrate that the suggested technique considerably increases the steady-state error and convergence rate.

关键词： Adaptive systems Gaussian noise Adaptive filters Filtering algorithms Mathematical models Steady-state Sparse matrices Computational complexity Gain convergence

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An Approach to Integration of Gait and Fingerprint Features for Advanced Biometric Recognition technology

An Approach to Integration of Gait and Fingerprint Features ...

引用

international conference on Confluence The Next Generation Information technology Summit (Confluence)

作者： Amit Kumar Trivedi Kartik Kumar Raghav Aggarwal Anmol Garg Department of Computer Science and Engineering Thapar Institute of Engineering and Technology Patiala Punjab India

In this study, the convergence of gait recognition and fingerprint identification was explored using heat map integration. Gait recognition, a biometric method that relies on distinct walking patterns, finds applications in security and healthcare. The study focused on the accuracy assessment of various body segments when gait and fingerprint technologies were combined. The results indicated that the highest accuracy, at 97.12%, was achieved by integrating the lower body's middle portion with fingerprints.

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Neural Network Model Transformation Framework for On-Devices 14

Neural Network Model Transformation Framework for On-Devices

引用

14th international conference on Information and Communication technology convergence, ICTC 2023

作者： Lee, Kyung Hee Kwak, Ji Young Park, Jaebok Kim, Hong Soog Kim, Seon-Tae Cho, Chang Sik Etri Ai Computing System Sw Research Section Daejeon Korea Republic of

ISBN: (纸本)9798350313277

On-device systems generally have limitations on computational resources, and there are various types of hardware and neural network engines supporting them. Due to the limitations of computational resources, on-device systems often only execute inference using a model trained in a personal computer or server system. Therefore, in order to use the trained model in various on-device environments, it is necessary to provide functions that support transformation of the neural network model, optimization of the neural network model, and execution of inference for each neural network engine to suit the on-device environment using the neural network model. In this paper, we implemented an on-device neural network model transformation framework that receives the trained neural network model and the environment information of the target on-device and creates a neural network model that can be performed on-device. This framework improved transformation efficiency by using a standard neural network model format based on an open source project called ONNX, and supported neural network inference engines such as TensorRT, TVM, and PyTorch. In the future, this framework will be supplemented with functions such as automatic generation of neural networks, linkage with neural network learning frameworks, and expansion of support for various inference engines. © 2023 IEEE.

关键词： Model Transformation Neural Network ONNX

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Algorithm based on an improved profile-fitting tabu search for vaccine production scheduling

Algorithm based on an improved profile-fitting tabu search f...

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2021 international conference on Statistics, Applied Mathematics, and computing Science, CSAMCS 2021

作者： Sun, Dan Yao, Yong School of Mathematics China University of Mining and Technology Xuzhou China School of Information and Control Engineering China University of Mining and Technology Xuzhou China

ISBN: (纸本)9781510652026

Vaccine production scheduling is actually a specific application of the typical workpiece sequencing problem in sequencing theory. On the basis of certain production constraints, the production efficiency can be improved by optimizing the solution of several types of vaccine scheduling problems with fixed processing times. This article first uses an improved profile fitting algorithm to reduce the production blocking time of the workpiece and determines the production sequence of adjacent vaccines;then uses the tabu search algorithm to perform global optimization to improve the convergence performance;finally, the "two exchange method"is used as a test tool. The experimental results show that this method can minimize the total waiting time of vaccine processing and achieve the best production scheduling. © COPYRIGHT SPIE.

关键词： Tabu search

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Adaptive finite-Time control of fractional-order-An System

Adaptive finite-Time control of fractional-order-An System

引用

2021 international conference on Statistics, Applied Mathematics, and computing Science, CSAMCS 2021

作者： Zhan, Zengyue Zhao, Xiaoshan Yang, Ruilong School of Science Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9781510652026

Xinlei An first proposed the An-System in 2010, which has been studied by many scholars, but there are few control studies based on the fractional-order An-System. In this paper, by utilizing the fractional calculus theory and adaptive finite time control method, dynamics of the fractional-order An-System are studied. In order to eliminate the chaotic behavior in the An-System, an adaptive finite-Time controller is designed. Then we prove its rationality by Chaos Control Theory. Finally, numerical simulation is applied to verify the effectiveness, convergence and robustness of the controller. © COPYRIGHT SPIE.

关键词： Chaos control

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Voice Pathology Detection Using Decision Tree Classifier 14

Voice Pathology Detection Using Decision Tree Classifier

引用

14th international conference on Information and Communication technology convergence, ICTC 2023

作者： Al-Dhief, Fahad Taha Mu'azzah Abdul Latiff, Nurul Nik Abd. Malik, Nik Noordini Mat Baki, Marina Sabri, Naseer Abbood Albadr, Musatafa Abbas Fariesya Suhaila Md Sazihan, Nurul Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Bahru Malaysia Universiti Kebangsaan Malaysia Medical Centre Faculty of Medicine Kuala Lumpur Malaysia Sohar University Computing and Information Technology Sohar Oman Basrah University for Oil and Gas Department of Oil and Gas Engineering Al Basrah Iraq

ISBN: (纸本)9798350313277

Nowadays, the systems of voice disorder detection obtained considerable attention due to the high importance of this field. However, the assessment of voice pathology requires certain tools and well-trained doctors. Moreover, this assessment can be identified by a group of professionals who listen to a patient in order to assess the patient's speech to identify whether the patient's voice is pathological or normal. Nevertheless, this assessment is based on the listener's experience. Consequently, machine learning is the most suitable technique for the detection of voice pathology, where this technique is a cost-effective and non-invasive method. Therefore, this paper presents Decision Tree (DT) algorithm based on the Mel-Frequency Cepstral Coefficient (MFCC) technique for the detection of voice pathology. The voice samples for pathological and healthy classes are collected and taken from the Saarbrucken Voice Database (SVD). The performance of the DT algorithm is assessed in terms of many evaluation measurements such as accuracy, sensitivity, precision, G-mean, F-measure, and specificity. © 2023 IEEE.

关键词： DT machine learning MFCC SVD voice pathology

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The Application of Virtual Reality technology in Ophthalmology 6th

The Application of Virtual Reality Technology in Ophthalmolo...

引用

6th international conference on Innovative computing, IC 2023

作者： Wang, Jingying Zhang, Yi Chongqing Medical and Pharmaceutical College Chongqing China

ISBN: (纸本)9789819920914

Virtual reality (VR) is changing the way we perceive and interact with various digital information, so that many scenes can place users in an ideal visual sensory environment through head mounted devices. In recent years, the research of VR in the field of ophthalmology is mainly reflected in clinical application and teaching. This paper analyzes the relevant research in the fields of vision training and amblyopia treatment, myopia prevention and control, eye adjustment and convergence function, strabismus diagnosis, ophthalmic surgery assistance and ophthalmic teaching, and introduces the application of VR technology in the field of Ophthalmology. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Ophthalmology

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Development of Converged Contents Applications Using Beacon with Bluetooth v4.0 4th

Development of Converged Contents Applications Using Beacon ...

引用

4th international conference on Communication, computing and Electronics Systems, ICCCES 2022

作者： Joo, Kil Hong Park, Nam Hun Department of Computer Education Gyeongin National University of Education 155 Sammak-ro Manan-gu Gyeonggi-do Anyang-si Korea Republic of Department of AI Convergence Anynag University 22 Samdeok-ro 37beon-gil Manan-gu Gyeonggi-do Anyang-si Korea Republic of

ISBN: (纸本)9789811977527

Recently, the commercialization of various convenience services using beacon on the Bluetooth low energy technology is on the rise as one of the results of technological innovation by the information communication technology, which rapidly develops with the coming of the fourth industrial revolution. In addition, due to expansion of the scope of information communication infrastructure and things such as "smart city", a large-scale convergence contents platform based on the IoT becomes one of the major issues in the IT industry. However, the technical measure concerning the management and processing of data collected by wireless sensor devices such as beacons is still unclear, and the concrete solutions to this problem are currently needed. Therefore, this study suggests one basic point about the technique to analyze and manage the large data collected by the beacon. It also efficiently provide the converged contents service using the user information data stored in the server. The development of this application enhances the social utilization value of beacon service in the future. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Bluetooth

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Efficient Resource Allocation Algorithms in Satellite Edge computing: A Survey

Efficient Resource Allocation Algorithms in Satellite Edge C...

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international conference on Information and Communication technology convergence (ICTC)

作者： Gahyun Kim Hyosu Kim Jeongyeup Paek Yongseok Son Hyung Tae Lee Sungrae Cho School of Computer Science and Engineering Chung-Ang University Seoul Korea

ISBN: (数字)9798350364637

ISBN: (纸本)9798350364644

To achieve higher throughput, the concept of edge computing on mobile devices has emerged. Subsequently, the idea of MEC was enhanced to satellite edge computing (SEC) to provide broader coverage in remote areas. To address energy and resource issues in SEC, this paper discusses the research trends in algorithms for more efficient resource allocation within SEC systems. Two resource allocation methods are introduced: the DRL-based DQN algorithm and the greedy strategy-based OEC-TA algorithm. The proposed algorithms are validated to significantly improve system performance and resource efficiency by allocating resources more effectively.

关键词： Surveys Energy consumption Satellites Sensitivity System performance Throughput Mobile handsets Delays Resource management Edge computing

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