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2nd International Conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yang, Xiaolong Wang, Lili College of Mathematics and Big Data Anhui University of Science＆Technology Anhui Huainan232001 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and Technology Anhui Huainan232001 China

ISBN: (纸本)9781510689053

Traditional approaches typically flatten the process when checking the conformance of complex processes. However, this flattening approach can result in the loss of dependencies between objects, reducing the accuracy of the conformance check. This paper proposes an object-centered alignment optimization method based on the heuristic A* algorithm to address this issue. This method effectively improves the efficiency of object-centered alignment in complex scenarios by considering both heuristic search and actual cost. The experimental results demonstrate that, in comparison to existing approaches, the proposed method presented in this paper observably enhances the efficiency of alignment in complex graph structures, exhibits superior adaptability, and gains a better understanding of the relationship between object-centric process behavior and data. These results provide new ideas and methods for improving conformance checking, which are of great theoretical and practical significance, especially in dynamic and complex environments where the potential for application has been further validated. © 2025 SPIE.

关键词： Detection and tracking algorithms Mining Alignment modeling Process modeling algorithm development Beam propagation method Mathematical optimization Connectors Medicine Transportation

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development of Total Suspended Matter (TSM) algorithm and Validation over Gujarat Coastal Water, the Northeast Arabian Sea Using In Situ Datasets

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MARINE GEODESY 2022年第6期45卷 670-687页

作者： Patel, Bimalkumar Sarangi, R. K. Prajapati, Apurva Devliya, Bhargav Patel, Hitesh Gujarat Univ Dept Chem Ahmadabad Gujarat India Space Applicat Ctr ISRO Marine Ecosyst Div Ahmadabad Gujarat India

TSM is an essential parameter as it affects the biogeochemistry of the ocean. The high TSM range affects light penetration that's related to the photosynthesis of primary producers. The aim is to develop a TSM algorithm in Gujarat coastal water using remote sensing reflectance (R-rs), to monitor TSM concentration from the satellite. Seawater sampling and HyperOCR radiometer data collection were carried out in the northeast Arabian Sea. The high suspended matter was observed near the Gulf of Khambhat due to industries and riverine fluxes. For an accurate TSM algorithm, we compared the developed algorithm to previous studies. The TSM algorithm has been developed using the R(rs)681/R(rs)490 band ratio that has the highest linear correlation (R-2 = 0.977, MSE = 19.06). R-rs band ratios demonstrated better compared to single R-rs bands. Satellite images were generated by applying the developed algorithm with the input of R(rs)681 and R(rs)490 from OLCI. The developed algorithm has been validated successfully with in situ TSM data points, collected across the Daman, Porbandar, and Okha coastal waters. The study indicates that the developed algorithm can be more robust and valuable for various satellite-based synoptic mapping of TSM, including the future Indian Oceansat-3 OCM mission.

关键词： algorithm development coastal water monitoring remote sensing total suspended matter

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Simple Measurements and Efficient Optimization of Linear Optical Networks 5

Simple Measurements and Efficient Optimization of Linear Opt...

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Quantum Computing, Communication, and Simulation V 2025

作者： Ray, Shannon Smith, A. Matthew Koch, Daniel Ellis, Sam Tison, Christopher C. Alsing, Paul M. Griffiss Institute RomeNY13440 United States Air Force Research Laboratory Information Directorate RomeNY13441 United States Rochester Institute of Technology RochesterNY14623 United States

ISBN: (纸本)9781510685307

In this proceeding, we describe a simulated model for the characterization of arbitrary unitary matrices implemented by an reconfigurable linear optical network. We build on the method of Hoch et. al, 1 which itself builds on Liang et. al, 2 for characterizing the arbitrary unitary transformation, U, implemented on such devices as an equivalent real bordered form Urb. We disscuss how the measurement scheme requires fewer and simpler measurements than.2 We describe a solution that utilizes a novel algorithm to efficiently recover the complex signs of Urb under measurement noise and scaling with system size N. © 2025 SPIE.

关键词： Matrices Reconstruction algorithms Phase measurement Chemical elements Mathematical optimization algorithm development Optical networks Air force Quantum light sources Quantum measurement

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development of an algorithm for analysing the electronic measurement of medication adherence in routine HIV care

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INTERNATIONAL JOURNAL OF CLINICAL PHARMACY 2016年第5期38卷 1210-1218页

作者： Rotzinger, Aurelie Cavassini, Matthias Bugnon, Olivier Schneider, Marie Paule Univ Lausanne Univ Geneva Sch Pharmaceut Sci Community Pharm Geneva Switzerland Univ Lausanne Dept Ambulatory Care & Community Med Community Pharm 44 Rue Bugnon CH-1011 Lausanne Switzerland Univ Lausanne Infect Dis Serv CHUV Lausanne Switzerland

Background Medication adherence is crucial for successful treatment. Various methods exist for measuring adherence, including electronic drug monitoring, pharmacy refills, pill count, and interviews. These methods are not equivalent, and no method can be considered as the gold standard. A combination of methods is therefore recommended. Objective To develop an algorithm for the management of routinely collected adherence data and to compare persistence and implementation curves using post-algorithm data (reconciled data) versus raw electronic drug monitoring data. Setting A community pharmacy located within a university medical outpatient clinic in Lausanne, Switzerland. Methods The algorithm was developed to take advantage of the strengths of each available adherence measurement method, with electronic drug monitoring as a cornerstone to capture the dynamics of patient behaviour, pill count as a complementary objective method to detect any discrepancy between the number of openings measured by electronic monitoring and the number of pills ingested per opening, and annotated interviews to interpret the discrepancy. The algorithm was tested using data from patients taking lopinavir/r and having participated in an adherence-enhancing programme for more than 3 months. Main outcome measure Adherence was calculated as the percentage of persistent patients (persistence) and the proportion of days with correct dosing over time (implementation) from inclusion to the end of the median follow-up period. Results A 10-step algorithm was established. Among 2041 analysed inter-visit periods, 496 (24 %) were classified as inaccurate, among which 372 (75 %) could be reconciled. The average implementation values were 85 % (raw data) and 91 % (reconciled data) (p < 0.0001). At day 544, persistence values were 68 % (raw) and 82 % (reconciled) (p = 0.11), and adherence values were 74 % (raw) and 82 % (reconciled) (p < 0.0001). Conclusion Combining electronic drug monitoring, pill count

关键词： algorithm development Electronic adherence monitoring HIV Medication adherence Patient interview Pill count

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Importance of stratified sampling for use in the development of training and test sets: medical imaging AI applications

Importance of stratified sampling for use in the development...

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SPIE Medical Imaging

作者： Fahd T. Hatoum Robert M. Tomek Heather M. Whitney Maryellen L. Giger The Univ. of Chicago (United States)

ISBN: (纸本)9781510685925

The purpose of our study was to understand the importance of stratified sampling across multiple dataset characteristics (attributes) to yield appropriate training and test sets in developing and evaluating AI. Sampling algorithms are widely used to split data into training and testing cases in AI model development. Datasets are often split into a training set and test set to balance disease classes. However, other patient characteristics such as demographic attributes (age, race, ethnicity, and sex) can also be used. Here, we measured the similarity of subsets stratified on demographic attributes and disease classes. To do this, we built on our previous work using the Jensen-Shannon distance (JSD). JSD is a measure of similarity between two distributions. Previously, we had measured the similarity across datasets in terms of separate demographic attributes and disease states. In this study, we used a multidimensional JSD score that incorporates multiple demographic attributes and disease state into a single score. We calculated JSD scores that allowed us to compare the similarity of the subsets produced by the stratified sampling algorithm for each attribute separately and for all attributes combined (i.e., multidimensional JSD). Thus, a secondary aim of our study was to validate this generalized stratified sampling algorithm used to sequester images in the Medical Imaging and Data Resource Center (MIDRC) database. The third aim of our study was to calculate an upper limit for the JSD score to calibrate our intuition on the performance of the stratified sampling algorithm as compared to random sampling. The multidimensional JSD was calculated using an aggregate method. This method lists all possible combinations of attributes (demographic and disease state), counts instances from each dataset, and compares their similarity using the JSD. Our results show that the multi-dimensional JSD scores from random sampling and stratified sampling ranged from 0.1843 to 0.2159

关键词： Artificial intelligence Education and training Diseases and disorders Evolutionary algorithms Medical imaging COVID 19 algorithm development Biomedical applications Data modeling Databases

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A Power-voltage coordinated control strategy of inverters in low-voltage distribution networks

A Power-voltage coordinated control strategy of inverters in...

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2024 International Conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Wei, Yinzhong Mei, Jianchun Zhou, Yalong Su, Jiabin Yan, Anxin Zhou, Zhen China Energy Engineering Group Jiangsu Power Design Institute Co. Ltd. Nanjing211102 China Jiangsu Keneng Electric Power Engineering Consulting Co. Ltd. Nanjing210000 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Considering the problem concerning voltage beyond limit caused by the photovoltaic generators in low-voltage distribution network system, a power-voltage coordinated manage method about inverters is offered to deal with voltage beyond limit by photovoltaic generators. This method can give priority to voltage adjustment through reactive power belonging to the PV, if the reactive regulation ability from the PV reaches its limit while the voltage continues to exceed the limit, an active power reduction control based on sparrow search algorithm is further adopted to minimize the waste of photovoltaic active power and avoid voltage beyond limit. The simulation outcomes confirm the potency as well as advantages belonging to the offered method in dealing with the beyond-limits about voltage created by the PV. © 2025 SPIE.

关键词： Photovoltaics Control systems Lithium Solar energy Resistance Automation Mathematical optimization algorithm development Design Safety

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Research and Optimization of SM9 Based on a Modular Design

Research and Optimization of SM9 Based on a Modular Design

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2024 International Conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Wei, Bin Zhao, Qifu Shao, Cuiping Li, Huiyun Gao, Shunxian State Grid Key Laboratory of Power Industrial Chip Reliability Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing100192 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Guangdong Shenzhen518055 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

Since its introduction by the National Cryptography Administration in 2016, the SM9 algorithm has encountered various opportunities and challenges. This study introduces a refined bottom-up modular framework, resulting in a more systematic and comprehensible algorithm structure with standardized naming conventions and clear module component descriptions. At the same time, we have proposed a comprehensive optimization scheme for bilinear pairing, optimizing the internal calculation process and improving the usability and efficiency of the SM9 algorithm. The experimental results at both the software and hardware levels have confirmed the effectiveness of our proposed method. Our work goes beyond previous research that mainly focuses on individual modules or sub-modules, and has made significant progress in promoting the widespread application of the SM9 algorithm in practical scenarios. © 2025 SPIE.

关键词： Mathematical optimization Evolutionary algorithms Design algorithm development Computer hardware Computer security Cryptography Logic Nomenclature Standards development

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Research on 3D point cloud registration algorithm based on FPFH and ColorICP

Research on 3D point cloud registration algorithm based on F...

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2024 International Conference on Optical and Photonic Engineering, icOPEN 2024

作者： Pan, Junjie Zhang, Xu School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (数字)9781510688117

ISBN: (纸本)9781510688100

With the rapid development of 3D reconstruction, point cloud registration technology, a key step in 3D data processing, has garnered significant attention. Existing 3D point cloud registration technologies face issues such as low matching rates in coarse registration, misidentification of feature points, lengthy registration times, and low registration accuracy. Consequently, an improved registration algorithm that combines Fast Point Feature Histogram (FPFH) for coarse registration and Colored Iterative Closest Point (ColorICP) for fine registration has been proposed. The process begins with pre-processing the point cloud through downsampling filtration;next, point cloud features are extracted using FPFH to achieve feature matching and obtain the initial transformation matrix;finally, ColorICP is used for fine point cloud registration. Experiments on the Stanford bunny dataset from the standard point cloud library and real-world point cloud data demonstrate that the proposed registration algorithm effectively utilizes both color and geometric features of the point cloud, achieving significant improvements in registration accuracy and duration compared to traditional registration algorithms. © 2025 SPIE.

关键词： Point clouds Image registration Histograms Detection and tracking algorithms Reconstruction algorithms Nondestructive evaluation Picosecond phenomena Cameras RGB color model algorithm development

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development OF A NOVEL algorithm TO CALCULATE THE OPTIC PROPERTIES OF TEMPORAL AEROSOLS THROUGH REMOTE SENSING DATA MEASUREMENTS: PROSPECTIVE STUDY

DEVELOPMENT OF A NOVEL ALGORITHM TO CALCULATE THE OPTIC PROP...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Faus-Landeros, Gloria Elena Villalon-Turrubiates, Ivan E. Celarier, Edward A. Robinson, Dianne Q. ITESM Campus Guadalajara Zapopan 45201 Jalisco Mexico

ISBN: (纸本)9781467311595

Satellite' sensors as well as ground-based sun photometers instruments surface are utilized gather data about the quantitative composition of components in the Earth's atmosphere. The relationships among these components produce effects in different phenomena, like regional climate change. Aerosols, consisting of particles from 0.01 to 10 mu m, are atmosphere components, whose effects are still poorly understood. Through Remote Sensing, it is possible to classify them and gain information about their role in different atmospheric processes: low visibility, solar energy balance, cloud formation and increases or decreases of the quantity of precipitation. This paper describes how the study and analysis of satellite-based and ground-based measurements can be used to develop and validate a novel procedure to calculate the optical properties of temporal aerosols found in and around Guadalajara, based on previous algorithms:, to determine the aerosol size distribution function, scattering phase function, single scattering albedo, complex refractive index and asymmetry parameter. The quantifiable knowledge about the temporal and regional aerosols' optical properties will contribute to future investigations related to their quantitative effects on atmospheric processes in this region. These effects include: alteration of weather and climate, change of the tropospheric temperature, contribution to environmental ills, the formation and properties of the clouds, effects on the ecosystems, local solar energy balance, and the impacts on human health.

关键词： Photometry Remote Sensing aerosols aerosol's optical properties NASA satellite data inter comparison algorithm development

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development OF A CLOUD LAYER DETECTION algorithm FOR THE CLOUDS FROM AVHRR (CLAVR) PHASE-II CODE

DEVELOPMENT OF A CLOUD LAYER DETECTION ALGORITHM FOR THE CLO...

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CONF ON PASSIVE INFRARED REMOTE SENSING OF CLOUDS AND THE ATMOSPHERE

作者： DAVIS, PA STOWE, LL MCCLAIN, EP National Oceanic and Atmospheric Administration (United States) Consultant (United States)

ISBN: (纸本)0819411701

Global area coverage (GAC) pixel data from the polar-orbiter advanced very high resolution radiometer (AVHRR) and the cloud classifications for 2 X 2 pixel arrays, output from CLAVR Phase-I, constitute the input for the CLAVR Phase-II analysis. The total cloud amount product from Phase-I was based on the assignment of fractional amounts of 1.0 and 0.5 to every pixel labeled cloudy or mixed, respectively, but the latter assignment led to biased total cloud amounts near 50%. In Phase-II, radiometric cloud amounts are determined for the mixed pixels from 11 micrometer radiances within a mapped grid area. The Phase-II procedure was developed for the identification and stratification of overcast (OVCST) cloud types, according to the cloud classifications of Phase-I, in grid areas also containing subsets of mixed and clear pixels. All mixed pixels associated with an observed OVCST type are analyzed statistically to determine fractional amounts of each cloud type (layer) as well as the total cloud amount within the grid area. The bias of Phase-I estimates was eliminated.

关键词： Clouds Reflectivity Image analysis algorithm development Multilayers Detection and tracking algorithms Spatial coherence Infrared imaging Radiometry Statistical analysis

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