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Computational Intelligence and Sustainable Engineering Solutions (CISES), International Conference on

作者： Pijush Kanti Kumar DeepKiran Munjal Sunita Rani Anurag Dutta Liton Chandra Voumik A. Ramamoorthy Department of Information Technology Government College of Engineering & Textile Technology Serampore Calcutta India Department of Computer Applications G. L. Bajaj Institute of Technology and Management Greater Noida Uttar Pradesh India Department of Engineering Administration Noida Institute of Engineering and Technology Greater Noida Uttar Pradesh India Department of Economics Noakhali Science and Technology University Noakhali Bangladesh Department of Mathematics Velammal Engineering College Anna University Chennai Tamil Nadu India

The detection of leaf diseases in plants generally involves visual observation of patterns appearing on the leaf surface. However, there are many diseases that are distinguished based on very subtle changes in these visually observable patterns. This paper attempts to identify plant leaf diseases using image processing techniques. The focus of this study is on the detection of citrus leaf canker disease. Canker is a bacterial infection of leaves. Symptoms of citrus cankers include brown spots on the leaves, often with a watery or oily appearance. The spots (called lesions in botany) are usually yellow. It is surrounded by a halo of the leaves and is found on both the top and bottom of the leaf. This paper describes various methods that have been used to detect citrus leaf canker disease. The methods used are histogram comparison and k-means clustering. Using these methods, citrus canker development was detected based on histograms generated based on leaf patterns. The results thus obtained can be used, after consultation with experts in the field of agriculture, to identify suitable treatments for the processes used.

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A multi-stage semi-supervised learning for ankle fracture classification on CT images

arXiv

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arXiv 2024年

作者： Liu, Hongzhi Li, Guicheng Nie, Jiacheng Tang, Hui Yang, Chunfeng Feng, Qianjin Xu, Hailin Chen, Yang The School of Computer Science and Engineering Southeast University Nanjing210096 China The Peking University People's Hospital Beijing100000 China The Guangdong Provincial Key Laboratory of Medical Image Processing School of Biomedical Engineering Southern Medical University Guangzhou510515 China The Key Laboratory of New Generation Artificial Intelligence Technology and its Interdisciplinary Applications Southeast University Ministry of Education China Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing School of Computer Science and Engineering Southeast University Nanjing210096 China Jiangsu Key Laboratory of Molecular and Functional Imaging Department of Radiology Zhongda Hospital Southeast University Nanjing210009 China

Because of the complicated mechanism of ankle injury, it is very difficult to diagnose ankle fracture in clinic. In order to simplify the process of fracture diagnosis, an automatic diagnosis model of ankle fracture was proposed. Firstly, a tibia-fibula segmentation network is proposed for the joint tibiofibular region of the ankle joint, and the corresponding segmentation dataset is established on the basis of fracture data. Secondly, the image registration method is used to register the bone segmentation mask with the normal bone mask. Finally, a semi-supervised classifier is constructed to make full use of a large number of unlabeled data to classify ankle fractures. Experiments show that the proposed method can segment fractures with fracture lines accurately and has better performance than the general method. At the same time, this method is superior to classification network in several indexes. Copyright © 2024, The Authors. All rights reserved.

关键词： Image classification

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Non-Variational ADAPT algorithm for quantum simulations

arXiv

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arXiv 2024年

作者： Tang, Ho Lun Chen, Yanzhu Biswas, Prakriti Magann, Alicia B. Arenz, Christian Economou, Sophia E. Department of Physics Virginia Tech BlacksburgVA24061 United States Virginia Tech Center for Quantum Information Science and Engineering BlacksburgVA24061 United States Department of Physics Florida State University TallahasseeFL32306 United States School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Quantum Algorithms and Applications Collaboratory Sandia National Laboratories AlbuquerqueNM87185 United States

We explore a non-variational quantum state preparation approach combined with the ADAPT operator selection strategy in the application of preparing the ground state of a desired target Hamiltonian. In this algorithm, energy gradient measurements determine both the operators and the gate parameters in the quantum circuit construction. We compare this non-variational algorithm with ADAPT-VQE and with feedback-based quantum algorithms in terms of the rate of energy reduction, the circuit depth, and the measurement cost in molecular simulation. We find that despite using deeper circuits, this new algorithm reaches chemical accuracy at a similar measurement cost to ADAPT-VQE. Since it does not rely on a classical optimization subroutine, it may provide robustness against circuit parameter errors due to imperfect control or gate synthesis. © 2024, CC BY.

关键词： Hamiltonians

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Blockchain Based E-Analysis of Social Media Forums for Crypto Currency Phase Shifts

Blockchain Based E-Analysis of Social Media Forums for Crypt...

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International Conference on Inventive Research in Computing applications (ICIRCA)

作者： Sharda Kumari Vipin Kumar A. Sharmila C Ravindra Murthy Navin Ahlawat Geetha Manoharan L.N. Mishra College of Business Management Bihar School of Commerce JAIN (Deemed-to-be University) Bengaluru Department of ECE School of Engineering Mohan Babu University (Erst while Sree Vidyanikethan Engineering College) Tirupati Andhra Pradesh India Department of computer Applications SRM Institute of Science and Technology Delhi-NCR Campus Ghaziabad School of Business SR University Warangal Telangana

Cryptocurrencies have experienced rapid growth and gained popularity worldwide. As a result, social media platforms have become an important source of information for investors and traders seeking to make decisions regarding cryptocurrencies. However, due to the sheer volume of data and the lack of effective analysis techniques, it can be challenging to identify key patterns and trends within social media forums. In this research paper, a blockchain based methodology is proposed for analysis of social media forums for cryptocurrency phase shifts. Specifically, we use sentiment analysis and topic modeling techniques to identify key themes and trends within cryptocurrency social media forums, and then use blockchain technology to verify and authenticate the data. Our results demonstrate that our approach is effective in identifying phase shifts in cryptocurrency markets. In recent years, social media forums have become a hub for discussions on cryptocurrency. The vast amount of data generated in these forums can be analyzed to predict the price shifts of different cryptocurrencies. However, traditional analysis methods may not be efficient enough to extract relevant information from this vast data. Therefore, this research study proposes a blockchain-based analysis approach to social media forums for cryptocurrency phase shifts. The proposed approach uses blockchain to ensure data immutability, and smart contracts to execute the analysis. The results obtained from the analysis can be used for prediction of price shifts of different crypto-currencies.

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Implications of Wireless Networks Using the PROMETHEE Method

Implications of Wireless Networks Using the PROMETHEE Method

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Sustainable Communication Networks and Application (ICSCNA), International Conference on

作者： Rohit Agrawal Pooja Pathak Santosh Gore Akanksha Goel Priyanka Wani Pratiksha Dadasaheb Sabale Department of Computer Engineering & Applications GLA University Mathura Sai Info Solution Nashik Maharashtra India Dr D. Y. Patil School of Science and Technology Dr D. Y. Patil Vidyapeeth Tathawade Pune India Department of Electronics and Telecommunication Dr. D. Y. Patil Institute of Technology Pimpri Pune Dr. D. Y. Patil Institute of Pharmaceutical Sciences & Research Pimpri Pune

ISBN: (数字)9798331530013

ISBN: (纸本)9798331530020

This research study investigates the selection of the most suitable wireless network technology among various options, including Wireless Local Area Networks (WLANs) and Wireless Metropolitan Area Networks (WMANs). The study utilizes the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method to evaluate the performance of different wireless technologies based on criteria such as bandwidth, security, cost, and reliability. By comparing the performance of each technology across these criteria, the PROMETHEE method helps identify the most suitable solution for specific applications and deployment scenarios. The findings of this research provide valuable insights for selecting the most appropriate wireless technology for various applications, such as home networks, enterprise networks, and public Wi-Fi hotspots.

关键词： Wireless networks Decision making Packet loss Bandwidth Organizations Throughput Communication system security Security Reliability Wireless fidelity

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Quantum Advantage of One-Way Squeezing in Enhancing Weak-Force Sensing

arXiv

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arXiv 2024年

作者： Wang, Jie Zhang, Qian Jiao, Ya-Feng Zhang, Sheng-Dian Lu, Tian-Xiang Li, Zhipeng Qiu, Cheng-Wei Jing, Hui Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China Academy for Quantum Science and Technology Zhengzhou University of Light Industry Zhengzhou450002 China College of Physics and Electronic Information Gannan Normal University Jiangxi Ganzhou341000 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore

Cavity optomechanical (COM) sensors, featuring efficient light-motion couplings, have been widely used for ultrasensitive measurements of various physical quantities ranging from displacements to accelerations or weak forces. Previous works, however, have mainly focused on reciprocal COM systems. Here, we propose how to further improve the performance of quantum COM sensors by breaking reciprocal symmetry in purely quantum regime. Specifically, we consider a spinning COM resonator and show that by selectively driving it in opposite directions, highly nonreciprocal optical squeezing can emerge, which in turn provides an efficient way to surpass the standard quantum limit that otherwise exists in conventional reciprocal devices. Our work confirms that breaking reciprocal symmetry, already achieved in diverse systems well beyond spinning systems, can serve as a new strategy to further enhance the abilities of advanced quantum sensors, for applications ranging from testing fundamental physical laws to practical quantum metrology. Copyright © 2024, The Authors. All rights reserved.

关键词： Well testing

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Real-time resource monitoring approach for detection of hotspot for virtual machine migration

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International Journal of Information Technology (Singapore) 2019年第4期11卷 639-646页

作者： Yadav, Yashveer Rama Krishna, C. Applied Science Department (Computer Applications) I. K. Gujral Punjab Technical University Punjab India Department of Computer Science and Engineering NITTTR Chandigarh India

Cloud computing is a new business model that provides facility to avail computing power on demand anytime, anywhere. It is highly elastic and can grow or shrink dynamically according to client need. Virtual machine migration (VMM) plays very important role to provide the power of elasticity to cloud environment. VMM generates considerable amount of overhead and also degrades overall performance of cloud environment. So it becomes very important to decide when to migrate and when not. In this paper, we present challenges and short comings in existing virtual machine migration approaches. Most of them monitor the resources at the hypervisor level. To overcome these short comings we have introduced real time resource monitoring (RTRM) model for selection of the hotspot host and when virtual machine migration should take place. Our result shows significant improvement in the hotspot detection as compared to primitive techniques. © 2018, Bharati Vidyapeeth's Institute of computer applications and Management.

关键词： Hotspot detection Virtual machine migration Virtualization

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Wake-up Receiver based routing protocol for indoor Wireless Sensor Networks

Wake-up Receiver based routing protocol for indoor Wireless ...

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International Conference on Network and Service Management

作者： Maximilian Weber Ghofrane Fersi Faouzi Derbel Smart Diagnostic and Online Monitoring Leipzig University of Applied Sciences Leipzig Germany Department of Computer Science and Applied Mathematics National School of Engineers of Sfax BP 1173-3038 Sfax Research Laboratory of Development and Control of Distributed Applications (ReDCAD) University of Sfax Tunisia

ISBN: (数字)9783903176515

ISBN: (纸本)9781665489928

Wake-up Receiver (WuRx) is one of the most trivial and effective solutions for energy-constrained networks and a promising solution for monitoring various phenomena in the sense of the Internet of Things (IoT). The most important and challenging issue in WuRx-based networks is the time efficient routing process in an energy efficient manner. Effectively, awaking each node needed in the routing process recursively requires a lot of time which is not suitable for time-critical applications. In this paper, we propose a novel Wake-up Receiver based routing protocol called Time Efficient WuRx-based Routing (TEW) that ensures energy optimised and time efficient routing in indoor scenarios. In our proposed approach, the network is divided into clusters at which each Fog Node manages the routes for data transmission in an asymmetric manner. When the Sink requires data from a specific set of nodes of a particular cluster, the Sink transmits a DataPts request to the corresponding Fog Node. In addition, the Fog Node sends instructions by means of a single Request (REQ) packet informing the corresponding nodes how often they should act as relays before switching to the sleeping mode. The measurement results show that our proposed approach has higher energy efficiency and achieves significant performance improvements in data delivery delay.

关键词： Wireless sensor networks Receivers Switches Routing Routing protocols Energy efficiency Internet of Things

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Dominant Defect and Microstructure Transformation Engineering for Highly Efficient Low-Bandgap Stannite Solar Cells

SSRN

引用

SSRN 2024年

作者： Yu, Zixuan Li, Shuoren Li, Chuanhao Huang, Sihao Wang, Yonghao Su, Zhenghua Liang, Guangxing Yan, Chang Guangdong Guangzhou511400 China Institute of Thin Film Physics and Applications Shenzhen Key Laboratory of Advanced Thin Films and Applications Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province State Key Laboratory of Radio Frequency Heterogeneous Integration College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China Guangdong Guangzhou511400 China Guangdong-Hong Kong Joint Laboratory for Carbon Neutrality Jiangmen Laboratory of Carbon Science and Technology Guangdong Province Jiangmen529199 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong999077 Hong Kong

To meet the requirements of high-efficiency multi-junction tandem, it is imperative to seek cost-effective low-bandgap bottom subcell candidates. The bandgap of Cu2ZnSn(S,Se)4 (CZTSSe) can be effectively narrowed by Cd alloying with the lowest achievable bandgap of 0.87 eV after 60% Zn substitution by Cd. However, the low-bandgap Cu2CdZnSn(S,Se)4 (CCZTSSe) is not efficient, majorly owing to the poor crystallinity of thin films and severe non-radiative recombination. Herein, we report an effective approach to enhance the crystallinity of CCZTSSe via in situ Na-addition in the bottom precursor. Sodium attracts Se within the bottom layers, facilitating the grain growth. Electrical properties are promoted accordingly, with the reduced interface defect densities, modified grain boundaries and superior Ohmic contact at the back interface. The most significant improvement is the dominant defect transformation, from detrimental deep CuCd to benign shallow VCu. These advances enable non-radiative recombination to be greatly suppressed both at the interface and in the bulk. Eventually, an efficiency of 10.48% has been achieved, which is the highest reported efficiency for stannite solar cells. This is a significant step forward on the road to applying CCZTSSe in future tandem technologies. © 2024, The Authors. All rights reserved.

关键词： Grain boundaries

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Synthetic frequency dimension state coupling in modulated LNOI ring cavity devices

Synthetic frequency dimension state coupling in modulated LN...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Armandas Balčytis Xuan Hiep Dinh Tomoki Ozawa Yasutomo Ota Toshihiko Baba Satoshi Iwamoto Arnan Mitchell Thach G. Nguyen Integrated Photonics and Applications Centre RMIT University Melbourne VIC Australia Advanced Institute for Materials Research Tohoku University Sendai Japan Department of Applied Physics and Physico-Informatics Keio University Yokohama Japan Department of Electrical and Computer Engineering Yokohama National University Hodogaya-ku Yokohama Japan Research Center for Advanced Science and Technology The University of Tokyo Meguro-ku Tokyo Japan

We created a modulator-equipped thin-film lithium niobate integrated ring resonator simulating a synthetic frequency dimension tight-binding model. It produces frequency states spaced over a 600 GHz bandwidth. Reconfi... 详细信息

ISBN: (纸本)9781957171258

关键词： Electron beam lithography Frequency combs Frequency modulation Lithium niobate Ring resonators Waveguide modulators

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