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An Evaluation Model of Supply Chain Performances Using 5DBSC and LMBP Neural Network Algorithm

Journal of Bionic engineering 2013年第3期10卷 383-395页

作者： Xuemei Fan Shujun Zhang Longzhao Wang Yinsheng Yang Kevin Hapeshi School of Biological and Agricultural Engineering Jilin University Changchun 130022 P. R. China Logistics Department College of Quartermaster Technology Jilin University Changchun 130062 P. R. China Key Laboratory of Bionic Engineering (Ministry of Education China) Jilin University Changchun 130022 P. R. China School of Computing and Technology the University of Gloucestershire Cheltenham GL50 2RH UK

A high efficient Supply Chain （SC） would bring great benefits to an enterprise such as integrated resources, reduced logistics costs, improved logistics efficiency and high quality of overall level of services. So it is important to research various methods, performance indicator systems and technology for evaluating, monitoring, predicting and optimizing the performance of a SC. In this paper, the existing performance indicator systems and methods are discussed and evaluated. Various nature-inspired algorithms are reviewed and their applications for SC Performance Evaluation （PE） are discussed. Then, a model is proposed and developed using 5 Dimensional Balanced Scorecard （5DBSC） and LMBP （Levenberg-Marquardt Back Propagation） neural network for SC PE. A program is written using Matlab tool box to implement the model based on the practical values of the 14 indicators of 5DBSC of a given previous period. This model can be used to evaluate, predict and optimize the performance of a SC. The analysis results of a case study of a company show that the proposed model is valid, reliable and effective. The convergence speed is faster than that in the previous work.

关键词： supply chain performance evaluation 5DBSC bionics LMBP neural network

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Enhancing Quantum Key Distribution Protocols with Machine Learning Techniques

Enhancing Quantum Key Distribution Protocols with Machine Le...

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2023 Intelligent computing and Control for engineering and Business Systems, ICCEBS 2023

作者： Bommi, R.M. Nalini, M. Vijayaraj, N. Kinol, A.Mary Joy Chennai Institute of Technology Department of Ece Chennai India Sri Sairam Engineering College Department of Eie Chennai India School of Computing Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Institute of Ece Saveetha School of Engineering Simats Chennai India

ISBN: (纸本)9798350394580

Quantum Key Distribution (QKD) promises theoretically unbreakable encryption by using fundamental quantum physics principles. QKD has emerged as a contender in the next generation of encryption protocols as the demand for more secure communication grows in our linked society. However, practical QKD implementations confront obstacles such as noise, interception attempts, and flaws in quantum hardware. We investigate the possibilities of Machine Learning (ML) techniques to improve the efficiency, resilience, and security of QKD protocols in this study. We provide a novel system that uses deep learning models to optimize photon polarization states and hence increase the key generation rate. Our approach detects and mitigates eavesdropping attempts using unsupervised learning algorithms, substantially enhancing the security of quantum communications. To achieve security, the BB84 protocol makes use of fundamental quantum mechanics features. Furthermore, we use reinforcement learning to adaptively alter system settings in real time to account for the quirks and noise profiles of different quantum channels. In comparison to typical QKD setups, experimental results show that our ML-enhanced QKD system is more resilient to known quantum attacks and provides a more consistent and efficient key distribution rate. Our findings indicate that the interaction of quantum physics and machine learning can pave the way for more secure and practical quantum communication networks in the near future. © 2023 IEEE.

关键词： BB84 protocol Machine Learning Techniques Quantum bit error rate (QBER) Quantum Key Distribution style

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Reducing bluetooth discovery time in collaborative working environment

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The Journal of China Universities of Posts and Telecommunications 2012年第4期19卷 43-48,93页

作者： GAO Feng Martin Hope FAN Tong-rang LIU Wen-hong School of Information Science and Technology Shijiazhuang Tiedao University Shijiazhuang 050043 China School of Computing Science and Engineering The University of Salford Manchester M5 4WT UK Scientific and Technical Department Shijiazhuang Posts and Telecommunications Technical College Shijiazhuang 050021 China

The main aim of the research presented in this paper was to investigate ＇how to reduce the bluetooth discovery time in collaborative middleware based collaborative working environment （CWE）, to enhance the communications of mobile users. The high level collaborative middleware is a research and technology development （RTD） challenge and one of most desirable medium to long term research outputs for CWEs. This research activity outlines a collaborative middleware module that has been developed on Smartphone technology and enables to reduce the discovery time of a multi-user collaborative working environment via a Bluetooth wireless communications network. To achieve this aim, it started with discussing the key design parameters, and then the design of collaborative middleware module with collaborative functionality; finally it is a comparison test to evaluate the impact of middleware. The result of the evaluation concludes the Bluetooth enabled collaborative middleware can reduce the discovery time in CWE.

关键词： CWE bluetooth middleware smartphone

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Optimization of Interactive Videos Empowered the Experience of Learning Management System

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Computer Systems Science & engineering 2023年第7期46卷 1021-1038页

作者： Muhammad Akram Muhammad Waseem Iqbal M.Usman Ashraf Erssa Arif Khalid Alsubhi Hani Moaiteq Aljahdali Department of Computer Science Superior University Lahore54000Pakistan Department of Software Engineering Superior University Lahore54000Pakistan Department of Computer Science GC Women University SialkotPakistan Department of Computer Science King Abdulaziz UniversityJeddahSaudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia

The Learning management system(LMS)is now being used for uploading educational content in both distance and blended *** platform has two types of users:the educators who upload the content,and the students who have to access the *** students,usually rely on text notes or books and video tutorials while their exams are conducted with formal *** assessments and examination criteria are ineffective with restricted learning space which makes the student tend only to read the educational contents and videos instead of interactive *** aim is to design an interactive LMS and examination video-based interface to cater the issues of educators and *** is designed according to Human-computer interaction(HCI)principles to make the interactive User interface(UI)through User experience(UX).The interactive lectures in the form of annotated videos increase user engagement and improve the self-study context of users involved in *** interface design defines how the design will interact with users and how the interface exchanges *** findings show that interactive videos for LMS allow the users to have a more personalized learning experience by engaging in the educational *** result shows a highly personalized learning experience due to the interactive video and quiz within the video.

关键词： User interface user experience learning management system linear nonlinear video interactive video visual design

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Landscape image composition analysis based on image processing and curve fitting

Landscape image composition analysis based on image processi...

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2013 5th International Conference on Computational and Information Sciences, ICCIS 2013

作者： Yang, Hengxiang Wang, Xiujin Bai, Lifang School of Computer Science and Technology Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin China Department of Software Engineering Tianjin University Tianjin China

ISBN: (纸本)9780769550046

The composition of the landscape image can convey the emotion of cameramen. Proposed in this article is one novel technique for landscape image composition analysis, which could lay the foundation for the further analysis of image emotion. This method is mainly aimed at analyzing the composition of landscape image with no foregrounds compos. Firstly, the image segmentation method based on edge detection and k-means clustering algorithm is used to extract the contour of each mountain. Secondly, curve fitting method is used to determine the curve type of each mountain in the landscape image. Finally, the normal distribution model is constructed to assign a weight to each pixel of the image from its location information, We can determine the composition of the whole image based on total weight comparison of each curve type which combined the contour information and location information. In this paper, we differentiated the curve from five types: Level-style, Inclined-style, Vertical-style, C-style and W-style. Corresponding, the composition of the whole image is divided into these five types. As a result, we can determine the composition type of landscape image. Experimental results demonstrate that this method is effective and meaningful in practice. © 2013 IEEE.

关键词： Normal distribution

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Comparative Analysis of Efficiency for First Generation Solar Cells Using PSIM Simulation

Comparative Analysis of Efficiency for First Generation Sola...

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2023 IEEE Global Conference on Information Technologies and Communications, GCITC 2023

作者： Garg, Rinku Sharma, Ashish Awasthi, Ankur Bisht, Yashwant Singh Alkhayyat, Ahmed Sharma, Aman University Institute of Computing Chandigarh University Mohali India Chandigarh University Department of Electrical Engineering Mohali India Ies University Ies College of Technology and Management Department of Cse Bhopal India Uttaranchal University Uttaranchal Institute of Technology Department of Mechanical Engineering Dehradun India The Islamic University College of Technical Engineering Najaf Iraq Gla University Department of Mechanical Engineering Mathura India

ISBN: (纸本)9798350308167

Solar photovoltaics from the first generation are well-developed in terms of their technology and how they are made. They are the oldest photovoltaics technologies that can be bought and sold. Most of the time, they are made from wafers of crystalline silicon (c-Si) or GaAs. GaAs is a direct bandgap semiconductor with a bandgap of 1.43 eV at 300 K. Compared to silicon, it has better optical properties. Silicon, on the other hand, has a bandgap of about 1.12 eV at 300 K and is an indirect bandgap material. So, silicon solar cells need silicon wafers that are thicker than other types in order to absorb enough sunlight. In this paper, simulation in PSIM was used to compare the efficiency of all first-generation solar cells in four different places with different amounts of light and temperatures. Any photovoltaic technology will work less well as the temperature rises. But even at higher temperatures, GaAs solar cells still work well because their temperature coefficient is so low. © 2023 IEEE.

关键词： efficiency optical panel solar temperature

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Smart Glove for Impaired People to Convert Sign into Voice with Text

Smart Glove for Impaired People to Convert Sign into Voice w...

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2023 Intelligent computing and Control for engineering and Business Systems, ICCEBS 2023

作者： Vijayaraj, N. Nalini, M. Kinol, A. Mary Joy Bommi, R.M. School of Computing Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Sri Sairam Engineering College Department of Eie Chennai India Institute of Ece Saveetha School of Engineering Simats Chennai India Chennai Institute of Technology Department of Ece Chennai India

ISBN: (纸本)9798350394580

The Smart Glove for Sign Language Translation is an innovative technology that has the potential to improve communication for people who are speech and hearing impaired. The glove uses flex detectors and accelerometers to detect sign language gestures, which are then converted into spoken language that can be understood by others. One of the key advantages of this technology is its portability, enabling users to communicate easily and conveniently anytime and anywhere. The glove also uses Bluetooth technology to wirelessly communicate with an Android phone, which can be used to convert signs into written or spoken language. Despite its potential benefits, there are still some limitations that need to be addressed. The glove may not accurately recognize all sign language gestures, leading to misinterpretation of the user's intended meaning. Additionally, the cost of the technology may be prohibitive for many individuals, especially those living in developing countries. Despite these limitations, the Smart Glove for Sign Language Translation proposed a positive step forward in improving communication for speech and hearing impaire individuals. As technology continues to advance, it islikely that i will see further improvements in this area, resulting in even more efficient and cost-effective solutions. Ultimately, these advancements have the potential to significantly enhance the quality of life for people with speech and hearing impairments, enabling them to better communicate and connect with others. © 2023 IEEE.

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Linearly Polarized Millimeter Wave Reflectarray with Mutual Coupling Optimization

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Computers, Materials & Continua 2022年第8期72卷 2397-2410页

作者： M.Inam M.H.Dahri M.R.Kamarudin A.Y.I.Ashyap M.H.Jamaluddin N.H.Sulaiman M.A.Khan Z.A.Shamsan K.Almuhanna F.Alorifi Centre for Telecommunication Research&Innovation(CETRI) Faculty of Electrical and Electronic Engineering TechnologyUniversiti Teknikal Malaysia Melaka(UTeM)Melaka76100Malaysia Dawood University of Engineering and Technology Karachi City Sindh74800Pakistan Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn MalaysiaBatu Pahat86400JohorMalaysia Wireless Communication Centre Universiti Teknologi MalaysiaJohor Bahru81301Malaysia Faculty of Computing and Engineering Quest International UniversityIpoh30250PerakMalaysia Balochistan University of Information Technology(FICT) Engineering and Management SciencesQuettaPakistan Electrical Engineering Department College of EngineeringImam Mohammad Ibn Saud Islamic UniversityRiyadhSaudi Arabia

This work provides the design and analysis of a single layer,linearly polarized millimeter wave reflectarray antenna with mutual coupling *** analysis was carried out at 26GHz design frequency using the simulations of the reflectarray unit cells as well as the periodic reflectarray *** simulated results were verified by the scattering parameter and far-fieldmeasurements of the unit cell and periodic arrays,*** agreement between the simulated and measured results was observed in all the *** from the unit cells and reflectarray,the waveguide and horn antenna were also fabricated to be used in the *** measured scattering parameter results of the proposed circular ring unit cells provided a maximum reflection loss of 2.8 dB with phase errors below 10°.On the other hand,the measured far-field results of the 20×20 reflectarray antenna provided a maximum gain of 26.45 dB with a maximum 3 dB beam width of 12°and 1 dB gain drop bandwidth of 13.1%.The performance demonstrated by the proposed reflectarray antenna makes it a potential candidate to be used in modern-day applications such as 5th Generation(5G)and 6th Generation(6G)communication systems.

关键词： Reflectarray millimeter wave antenna mutual coupling antenna measurements

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A Machine Learning Model: Student Verification and Job Placement with Gradient Boosting Machines 15

A Machine Learning Model: Student Verification and Job Place...

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15th International Conference on Advances in computing, Control, and Telecommunication Technologies, ACT 2024

作者： Sujatha, E. Sakthivelan, R.G. Subha, S. Sree Gopirajan, P.V. Thandalam Chennai India Department of Computer Science and Engineering Gopalan College of Engineering and Management Bengaluru India Chennai India Department of Computational Intelligence School of Computing SRM Institute of Science and Technology Kattankulathur Campus Chennai603203 India

ISBN: (纸本)9798331300579

Every year, millions of students graduate, making it difficult to track and process their data. The One Point Student Verification Machine learning Model (OSVMLM) collects rich data on students, including biometric information, secondary education details, list of degrees completed, and detailed information on their last or current degree. In addition, the student's fingerprint is also collected and stored. The government's Aadhar database is used to verify the authenticity of the student. To ease the recruiter, the details collected by OSVMLM were assigned with ranks, information will be sent to the candidates autonomously based on the current job description. This makes it easy for students to identify and apply for available positions. OSVMLM application is built on Ionic, MongoDB, NodeJS and Gradient boosting machines (GBMs). OSVMLM is immensely useful for recruiters, as it makes data collection and processing effortless. This increases the visibility of various jobs open in different domains and suggests suitable job description to the job seekers. The key difference between OSVMLM and other platforms is that it is not limited to institutions and is accessible to all. This saves a lot of time for recruiters during initial screening. This proposed OSVMLM was validated with the real-time students dataset and achieved 91% prediction accuracy. © Grenze Scientific Society, 2024.

关键词： Students

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3D stator bar modelling with investigation on the effect of shapes and sizes of cavities and distribution of electric field 2

3D stator bar modelling with investigation on the effect of ...

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2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

作者： Ye Chee, Daphne Tay Nabipour-Afrouzi, Hadi Wooi, Chin-Leong Mehranzamir, Kamyar Ahmed, Jubaer Bagherian, Mohammad Ali Swinburne University of Technology Sarawak Faculty of Engineering Computing and Science Kuching Malaysia University of Nottingham Malaysia Campus Department of Electrical and Electronic Engineering Faculty of Engineering Semenyih Selangor Malaysia School of Electrical System Engineering Arau Perlis02600 Malaysia

ISBN: (数字)9781728166117

ISBN: (纸本)9781728166117

Insulation system is one of the most vital elements in high voltage equipment and hence, investigation on the condition and mechanism of failure of high voltage insulations is essential. This paper presents the study on the effect on the cavity's position and sizes and the corresponding electric field and potential distribution in the 3-Dimensional stator bar insulation. The 3D stator bar modelling is implemented using COMSOL software and simulated using Finite Element method (FEM). The outcome of the simulation work shows the uniformity and strength of electric field in the stator bar insulation is affected by the sizes and shapes of the cavity. In terms of the shapes, the ellipsoidal cavity sustains the greatest electrical stress of magnitude of 5.34kV/mm as compared to the spherical cavity which withstands only 4.05kV/mm when the cavities size is 0.22mm. Apart from that, the electric field intensity of ellipsoidal cavities is discovered to endure a drop of around 13-14%, while a drop of 22-23% for spherical cavities when the cavity sizes increased from 0.22mm to 1.10mm. The results from this modelling work aid in improving the understanding over the electrical breakdown in stator bar insulation system. © 2020 IEEE.

关键词： Finite element method

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