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Exploring GitHub Topics: Unveiling Their Content and Potential

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Exploring GitHub Topics: Unveiling Their Content and Potenti...

Software Services Engineering (SSE) IEEE International Conference on

作者： Jiaqi Zhang Yanchun Sun Yuqi Zhou Jiawei Wu Huizhen Jiang Gang Huang Key Laboratory of High Confidence Software Technologies Ministry of Education School of Computer Science Peking University Beijing P.R. China School of Software and Microelectronics Peking University Beijing P.R. China National Key Laboratory of Data Space Technology and System

ISBN: (数字)9798350368512

ISBN: (纸本)9798350368529

N owadays, software service design is increasingly oriented toward addressing human needs, aiming to extract users' needs and behavioral patterns from open-source data. GitHub's massive open-source repositories have emerged as a crucial data source for software service researchers seeking to extract valuable insights and develop software services tailored for developers. Both GitHub and researchers are making efforts to help researchers and developers better utilize GitHub data. In 2017, GitHub launched “topics”, enabling developers to assign keywords to repositories. This feature fosters linkages between repositories, aiding in their discovery by other developers. For software development, topics offer two significant values. First, topics provide researchers with new insights to better mine GitHub data and provide enhanced support for developers. Second, developers utilizing topics to annotate their repositories may enhance their visibility and engagement within the community, potentially bolstering their repository's popularity. Despite the increasing number of topics, no research has systematically analyzed their content and potential value. Therefore, we conduct the first empirical study on topics, providing valuable conclusions for future researchers and developers. We conduct a case study encompassing 900 repositories to analyze the information explicitly presented in the topic content, and three experiments to verify whether topics have the potential to be used as repository features and user features in GitHub-related studies. Furthermore, we delve into the correlation between topics and repository popularity, by analyzing the number of stars repositories received. Our findings cover the composition of topic content, the potential value of topics for GitHub-related research, and the impact of topics on repository popularity.

关键词： Couplings Correlation Soft sensors Stars Focusing Feature extraction Behavioral sciences

Bimolybdate Single Crystals Codoping with Trivalent Ytterbium and Erbium Ions for High-Stable and High-Sensitive Optical Thermometry

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SSRN 2024年

作者： Wang, Miaomiao Ding, Shoujun Hu, Haitang Zhang, Chuancheng Ren, Hao Zou, Yong Liu, Wenpeng School of Microelectronics and Data Science Anhui University of Technology Anhui Maanshan243002 China Anhui Provincial Joint Key Laboratory of Disciplines for Industrial Big Data Analysis and Intelligent Decision Anhui Maanshan243002 China Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Anhui Hefei230031 China

An effective strategy for enhancing the sensing sensitivity, responsiveness, and anti-interference capabilities of the fluorescence intensity ratio (FIR) based optical temperature sensing technology involves substituting the traditional powder polycrystalline materials with crystalline materials. In this work, Yb3+/Er3+ codoped bimolybdate single crystals, NaBi(MoO4)2 (NBM), featuring varying concentrations of Er3+ ions, were cultivated via the Czochralski method for prospective utilization in optical temperature sensing applications. The structure of the crystals were comprehensively characterized employing X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy, and transmission electron microscopy (TEM). Upon excitation with a 980 nm laser, the crystals demonstrated notable green and subdued red upconversion (UC) emissions, with a thorough investigation into the underlying UC luminescence mechanism. The luminescence intensity was found to be contingent upon the doping concentration, with a gradual attenuation observed with increasing Er3+ ions. The optical temperature sensing properties of Yb3+/Er3+ codoped NBM single crystals were assessed utilizing the FIR technique, predicated on the thermally coupled level of Er3+ ions (2H11/2/4S3/2). Experimental findings revealed that the 10 at% Yb3+, 10 at% Er3+: NBM crystal exhibited highest sensor sensitivity among the synthesized crystals, with a maximum absolute sensitivity of approximately 1.22% K-1 at 510 K. Furthermore, the temperature sensing characteristics of the crystals were contingent upon the doping concentration of Er3+ ions. In summary, the Yb3+/Er3+ codoped NBM single crystal showcased exemplary sensor sensitivity and holds considerable promise as a material for optical temperature sensing applications. © 2024, The Authors. All rights reserved.

关键词： Single crystals

Orange-Reddish Emitting of Trivalent Samarium Doped Double Perovskite Sr2lunbo6 with High Thermal Stability for White-Led Application

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SSRN 2024年

作者： Su, Wenzhi Ding, Shoujun Zhang, Chuancheng Wang, Miaomiao Ren, Hao Hu, Haitang Zou, Yong Liu, Wenpeng School of Microelectronics and Data Science Anhui University of Technology Anhui Maanshan243002 China Anhui Provincial Joint Key Laboratory of Disciplines for Industrial Big Data Analysis and Intelligent Decision Anhui Maanshan243002 China Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Anhui Hefei230031 China

A series of trivalent samarium ions doped double perovskite Sr2LuNbO6 (x at% Sm3+:Sr2LuNbO6, x = 0.5-15) phosphors have been prepared via high-temperature solid-state method. The structural characterization of these phosphors was conducted employing X-ray diffraction (XRD), XRD Rietveld refinement, scanning electron microscope (SEM) and transmission electron microscope (TEM), respectively. Subsequently, density functional theory calculations utilizing the Vienna ab initio simulation package (VASP) were employed to unveil the electronic structures, encompassing the band structure and density of states (DOS). Photoluminescence (PL) spectroscopy was employed to scrutinize the luminescent properties, while the thermal stability of the PL spectra was also evaluated. The most prominent emission peak, exhibiting an orange-reddish hue, was observed at 601 nm upon excitation at 406 nm. The primary quenching mechanism of Sm3+ ions within the Sr2LuNbO6 host lattice was identified as dipole-dipole interaction, with the quenching concentration of Sm3+:Sr2LuNbO6 phosphors estimated to be approximately 3 at%. Notably, the fluorescence lifetime of the optimally doped sample was determined to be 0.723 ms, exhibiting a gradual reduction with increasing Sm3+ doping concentration. Moreover, the phosphors demonstrated excellent thermal stability, with an activation energy (Ea) value of 0.126 eV. Additionally, the CIE coordinates remained relatively constant with increasing temperature. These findings collectively underscore the promising potential of Sm3+:Sr2LuNbO6 phosphors for applications in white light-emitting diodes (w-LEDs). © 2024, The Authors. All rights reserved.

关键词： Phosphors

Deep Learning Methods for Real-time Detection and Analysis of Wagner Ulcer Classification System

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Deep Learning Methods for Real-time Detection and Analysis o...

2022 International Conference on Computer Applications Technology, CCAT 2022

作者： Han, Aifu Zhang, Yongze Li, Ajuan Li, Changjin Zhao, Fengying Dong, Qiujie Liu, Yanting Shen, Ximei Yan, Sunjie Zhou, Shengzong Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou China School of Data Science and Technology North University of China Taiyuan China First Affiliated Hospital of Fujian Medical University Department of Endocrinology Fuzhou China Diabetes Research Institute of Fujian Province Fuzhou China School of Software and Microelectronics Peking University Beijing China

ISBN: (纸本)9781665490696

At present, the ubiquity method to diagnose the severity of diabetic feet (DF) depends on professional podiatrists. However, in most cases, professional podiatrists have a heavy workload, especially in underdeveloped and developing countries and regions, and there are often insufficient podiatrists to meet the rapidly growing treatment needs of DF patients. It is necessary to develop a medical system that assists in diagnosing DF in order to reduce part of the workload for podiatrists and to provide timely relevant information to patients with DF. In this paper, we have developed a system that can classify and locate Wagner ulcers of diabetic foot in real-time. First, we proposed a dataset of 2688 diabetic feet with annotations. Then, in order to enable the system to detect diabetic foot ulcers in real time and accurately, this paper is based on the YOLOv3 algorithm coupled with image fusion, label smoothing, and variant learning rate mode technologies to improve the robustness and predictive accuracy of the original algorithm. Finally, the refinements on YOLOv3 was used as the optimal algorithm in this paper to deploy into Android smartphone to predict the classes and localization of the diabetic foot with real-time. The experimental results validate that the improved YOLOv3 algorithm achieves a mAP of 91.95%, and meets the needs of real-time detection and analysis of diabetic foot Wagner Ulcer on mobile devices, such as smart phones. This work has the potential to lead to a paradigm shift for clinical treatment of the DF in the future, to provide an effective healthcare solution for DF tissue analysis and healing status. © 2022 IEEE.

关键词： Diagnosis

Tunable Near-Infrared Broadband Photoluminescence of Mg2latao6:Cr3+ Phosphors for Light-Emitting Diodes

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SSRN 2023年

作者： Cao, Qianwen Li, Liang Xie, Jing Zhang, Yule Wang, Wenming Pan, Yan Wei, Xiantao Li, Yong School of Microelectronics & Data Science Anhui University of Technology Maanshan243000 China Analysis and Testing Central Facility Anhui University of Technology Maanshan243000 China Physics Experiment Teaching Center School of Physical Sciences University of Science and Technology of China Hefei230026 China

Near-infrared phosphor-converted light-emitting diodes (NIR pc-LED) prepared with near-infrared (NIR) phosphors have potential applications in various aspects. In this paper, Cr3+-activated Mg2LaTaO6 (MLTO: Cr3+) phosphors were prepared by the conventional high-temperature solid-phase method. The structure, morphology, and photoluminescence (PL) spectra of MLTO: Cr3+ phosphor were investigated. There is broadband NIR emission and the emission peak is red-shifted with the increase of doping concentration. The crystal field strengths of the samples were calculated and the relationship between the emission peak positions of the samples and the crystal field strengths was investigated. In addition, the concentration quenching mechanism of the samples was discussed, which is mainly attributed to dipole-dipole interactions. The internal quantum efficiency (IQE) of the MLTO: 0.4 mol% Cr3+ sample was measured with an IQE value of 76.48%. NIR pc-LED devices were fabricated by combining the prepared MLTO: Cr3+ phosphor and blue-emitting LED chips, which are capable of emitting NIR light. © 2023, The Authors. All rights reserved.

关键词： Light emitting diodes

Enhancement of Security in IoT using Secure Hash Cryptography Algorithm with Double Encryption (SHCA-DE) 9

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Enhancement of Security in IoT using Secure Hash Cryptograph...

9th International Conference on Communication and Electronics Systems, ICCES 2024

作者： Uganya, G. Rajalakshmi, D. Vangapandu, Ramarao Dinesh, M. Giri, Jayant Odeh, Mahmoud Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Ece Chennai India Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur Chennai India Vignan's Institute of Engineering for Women Department of Computer Science and Engineering Vishakhapatnam India Saveetha University Department of Vlsi Microelectronics Saveetha School of Engineering Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Zarqa University Faculty of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah Saudi Arabia

ISBN: (纸本)9798350377972

The 'Internet of things' is the developing technology to transfer the world into smart innovation. 'IoT' security is the most problematic issue in recent applications due to its properties including 'centralized architecture', 'limited capacity devices', and 'ambiguity'. So, blockchain with 'IoT' applications provides secure data communication compared to traditional 'IoT' applications. Blockchain is a recent growing technology that has features including 'decentralized structure', 'transparency', 'immutable records', 'increased capacity', and 'quick backtracks'. The 'cryptography hash algorithm' is very important to provide secure data transmission. It converted the different size input to fixed-size unalterable output to enhance the security. But still, it needs efficient algorithm to secure data transmission with safeguard of private key. The objective of this paper is to propose a secure hash cryptography algorithm with double encryption (SHCA-DE) to protect the private key message. Then, this proposed algorithm has been analyzed with MD5, SHA-256, and SHA3-512. From this analysis, the SHA3-512 performs well with proposed algorithm. © 2024 IEEE.

关键词： Encryption algorithms

Design of an Online Detection System for High-Power Submerged Arc Furnace with Magnetic Field Difference 7th

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Design of an Online Detection System for High-Power Submerge...

7th International Conference on Life System Modeling and Simulation, LSMS 2021, and 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021

作者： Liu, Wei-Ling Yang, Zi-Kai Yang, Ling-Zhen Chang, Xiao-Ming School of Data Science Taiyuan University of Technology Taiyuan Shanxi030024 China School of Microelectronics Tianjin University Tianjin300072 China School of Physics and Optoelectronics Taiyuan University of Technology Taiyuan Shanxi030024 China School of Information and Computer Science Taiyuan University of Technology Taiyuan Shanxi030024 China

ISBN: (纸本)9789811672095

An online measurement system to effectively detect electrode tip position of high-power submerged arc furnace (SAF) based on magnetic field difference were proposed and demonstrated. According to the current distribution characteristics near the electrode tip position and the theory of electromagnetism, a magnetic field radiation model was established, and the differential array sensing system was explored and developed based on sensing mechanism of differential magnetic field. The electrode tip position is obtained through collecting magnetic field information outside the furnace and analyzing the current difference characteristics. The experiment and simulation results showed that the peak point of the magnetic field distribution curve on the electrode line is near the electrode tip position of the furnace. The differential on-line measuring system can accurately detect the electrode tip position of the high-power SAF, which has important significance in optimizing the smelting process, improving the quality of products and reducing energy consumption. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Magnetic fields

Evaluating Conditional Handover for 5g Networks with Dynamic Obstacles

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SSRN 2024年

作者： Deb, Souvik Rathod, Megh Balamurugan, Rishi Singh, Rajeev Kumar Sanyal, Samriddha Ghosh, Shankar K. Advanced Computing & Microelectronics Unit Indian Statistical Institute West Bengal Kolkata700108 India Department of Computer Science and Engineering Shiv Nadar Institution of Eminence Delhi201314 India School of Computing and Data Science FLAME University Maharashtra Pune412115 India Shiv Nadar University India

To enhance seamless connectivity in millimetre wave New radio networks, Conditional handover has evolved as a promising solution. Unlike A3 handover where handover execution is certain after receiving handover command from the serving access network, in conditional handover, handover execution is conditional on the Reference signal received power measurements from both current and target access networks, as well as on mobility parameters such as preparation and execution offsets. Presence of dynamic obstacles may block the signal from serving and (or) target access networks, which results in violation of the conditions for the handover preparation/execution. Moreover, signal blockage by dynamic obstacles may cause radio link failure, which may cause handover failure as well. Analytic evaluations of conditional handover performance in the presence of dynamic obstacles are quite limited in the preceding literature. In this work, handover performance of conditional handover has been carried out in terms of handover latency, handover packet loss and handover failure probability. A Markov model accounting the effect of dynamic obstacles, different mobility parameters (e.g., execution offset, preparation offset, time-to-preparation and time-to-execution), user velocity and channel fading characteristics has been proposed to characterize handover failure. Results obtained from the analytic model has been validated against extensive simulation results. Our study reveal that optimal configuration of the mobility parameters is actually conditional on the presence of dynamic obstacles, user velocity and fading characteristics. This study will be helpful for the mobile operators to configure the mobility parameters for New radio systems where dynamic obstacles are present. © 2024, The Authors. All rights reserved.

关键词： 5G mobile communication systems

Efficient ILT via Multi-level Lithography Simulation

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Efficient ILT via Multi-level Lithography Simulation

Design Automation Conference

作者： Shuyuan Sun Fan Yang Bei Yu Li Shang Xuan Zeng State Key Laboratory of Integrated Chips and Systems Fudan University Shanghai China School of Microelectronics Fudan University Shanghai China Chinese University of Hong Kong Hong Kong China China and Shanghai Key Laboratory of Data Science School of Computer Science Fudan University Shanghai China

Inverse Lithography Technology (ILT) is a widely investigated method to improve the yield of chip manufacturing. However, high computational complexity and difficulty in fabricating curvilinear shapes have hindered the widespread adoption of ILT. This paper presents an efficient ILT framework, including a multi-level resolution method for simulation acceleration, a downsampling strategy for mask optimization, and an improved mask binary function to improve mask printability. Experimental results show that the proposed method outperforms state-of-the-art methods with at least a 33.8% reduction in L2 loss and a 15.5% reduction in PVBand.

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