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2023 International Conference on Evolutionary algorithms and Soft Computing Techniques, EASCT 2023

作者： Li, Ruiyu Wang, Jianfeng Bao, Qian Zhao, Xiajie Song, Qichao Hanyang University College of Design Ansan Gyeonggi-do Korea Republic of Daegu University College of Plastic Arts Gyeongsan Gyeongsangbuk-do Korea Republic of

ISBN: (纸本)9798350313413

With the continuous improvement of people's demand for housing, the rational planning of indoor space has become a current research boom. This research aims to explore the intelligent design system of indoor space based on data analysis algorithm, and verify its superiority and practicability through comparative experiments. The main work of this paper includes the research and introduction of the basic concepts of interior space design and the relevant theoretical knowledge of data analysis algorithms. The system uses data analysis and other technologies to realize automatic analysis and optimal design of indoor space. Through comparative experiments, this study quantitatively analyzes the air-conditioning control, lighting control, curtain control, audio control and failure rate of the smart home module group and the traditional home group. The results show that the former performs better, and the failure rate is stable at 1.5%, which verifies the superiority and practicability of the proposed system. © 2023 IEEE.

关键词： data analysis algorithm data mining intelligent design system interior space design smart home

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Accounting Intelligent Monitoring System Based on data analysis algorithm 1

Accounting Intelligent Monitoring System Based on Data Analy...

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1st IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics, AIKIIE 2023

作者： Zuo, Yan Wu, Yanhong College of Accounting Zhanjiang University of Science and Technology Guangdong Zhanjiang China

ISBN: (纸本)9798350316469

With the continuous increase of the number of risk points in accounting, how to improve accounting risk control has become an urgent problem to be studied and solved under the new situation. This paper designs an intelligent monitoring system for accounting risks. In the system analysis and design stage, this paper builds an intelligent accounting information management system based on SAP HANA to reduce accounting risks through real-time monitoring. In the implementation phase of the accounting risk monitoring system, an accounting risk monitoring model based on CNN-LSTM was established. Experimental analysis shows that the accuracy, accuracy, recall and F1 values of the CNN-LSTM accounting risk monitoring model are higher than traditional machine learning algorithms such as SVM and K-mean clustering analysis. Therefore, the accounting risk intelligent monitoring system constructed in this paper has stronger predictive analysis capabilities and can break through the bottleneck of traditional business intelligence systems. © 2023 IEEE.

关键词： accounting intelligent monitoring system accounting risk management data analysis algorithm prediction accuracy

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English Intelligent Translation Software Framework Based on data analysis algorithm

English Intelligent Translation Software Framework Based on ...

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2023 International Conference on Integrated Intelligence and Communication Systems, ICIICS 2023

作者： Liu, Na Zaozhuang Vocational College of Science and Technology Department of Architecture Shandong Tengzhou China

ISBN: (纸本)9798350315455

Language is not only a mirror reflecting human thinking, but also the most important medium of communication between people. In today's information age, the communication barriers between different languages in the generation, storage, transmission and transformation of massive digital information every day have become more and more serious. Therefore, breaking the language barriers, communicating with each other and understanding each other has become an increasingly urgent need. In today's globalization, with the progress and innovation of science and technology, it has promoted the diversification of foreign language learning ways and the development of convenient learning methods. The purpose of this paper is to study the construction of English intelligent translation software framework based on data analysis algorithm. Based on the clustering model algorithm idea, the TTL algorithm is applied to the extraction of English-Chinese translation patterns. Also, the English intelligent translation software platform is constructed. The designed is tested in terms of performance, and the results show that the translation software designed in this paper achieves the initial goal of the project with certain feasibility and practicality. © 2023 IEEE.

关键词： data analysis algorithm English translation framework construction intelligent software language barrier

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Material selection system of literature and art multimedia courseware based on data analysis algorithm

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OPEN COMPUTER SCIENCE 2024年第1期14卷

作者： Pu, Qingna Sichuan Univ Sch Literature & Journalism Jinjiang Coll Meishan 620860 Sichuan Peoples R China

Multimedia teaching is a comprehensive teaching platform that integrates text, images, video, sound, animation, hyperlinks and other teaching methods, and plays an important role in teaching. This article mainly discussed the classification of courseware materials on the basis of data analysis and introduced the selection method of multimedia courseware materials. data mining is one of the most commonly used classification methods in data analysis. In this article, the classification of material types was carried out based on the decision tree classification algorithm. This article took three middle schools in Z city as the research objects and objectively analyzed the application of multimedia courseware in literature and art courses. Through the questionnaire survey of teachers, it was found that 62.50% of the teachers chose "text-based, highlighting the key and difficult points of teaching." Through the student questionnaires, it was found that there were differences in the students' preference for materials. The most were animation and video, accounting for 59.00%;the least was text, accounting for 14.00%. This showed that students were more inclined to choose more intuitive and interesting content.

关键词： multimedia courseware materials data analysis data mining decision tree data analysis algorithm

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A Review of Multi-Source data Fusion and analysis algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization

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algorithmS 2025年第1期18卷 30-30页

作者： Liu, Binglin Li, Qian Zheng, Zhihua Huang, Yanjia Deng, Shuguang Huang, Qiongxiu Liu, Weijiang Nanning Normal Univ Sch Geog & Planning Nanning 530001 Peoples R China Nanning Normal Univ Key Lab Environm Change & Resources Use Beibu Gulf Minist Educ Nanning 530001 Peoples R China Guangxi Vocat Normal Univ Sch Comp & Informat Engn Nanning 530007 Peoples R China Guangxi Nat Resources Informat Ctr Nanning 530021 Peoples R China Guangxi City Survey Technol Co Ltd Nanning 530002 Peoples R China Guangxi Chaotu Informat Technol Co Ltd Nanning 530023 Peoples R China City Univ Hong Kong Coll Engn Hong Kong 999077 Peoples R China

In the context of the booming construction of smart cities, multi-source data fusion and analysis algorithms play a key role in optimizing real estate management and improving urban efficiency. In this review, we comprehensively and systematically review the relevant algorithms, covering the types, characteristics, fusion techniques, analysis algorithms, and their synergies of multi-source data. We found that multi-source data, including sensors, social media, citizen feedback, and GIS data, face challenges such as data quality and privacy security when being fused. data fusion algorithms are diverse and have their own advantages and disadvantages. data analysis algorithms help urban management in areas such as spatial analysis and deep learning. algorithm collaboration can improve decision-making accuracy and efficiency and promote the rational allocation of urban resources. In the future, algorithm development will focus on data quality, real-time, deep mining, interdisciplinary research, privacy protection, and collaborative application expansion, providing strong support for the sustainable development of smart cities.

关键词： smart city construction multi-source data fusion data analysis algorithm real estate management urban optimization

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Architectural design visual information mining system based on image processing technology

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JOURNAL OF INTELLIGENT SYSTEMS 2025年第1期34卷

作者： Pan, Junyu Univ New South Wales Art Design & Architecture Sydney 2000 Australia

With the rapid development of modern society and economy, various types of science and technology have also achieved relatively rapid development, which has led to significant changes in all walks of life in modern society. This change not only makes modern society transition toward an information society but also makes people in modern society obtain more convenience. The construction industry has also achieved higher quality development with the development of science and technology, especially through the informatization reform of existing technical means in multiple processes such as building design and construction, which has saved a lot of manpower and material resources. The most important aspect in the field of architecture is the design work before construction, and the degree of refinement in this process also determines the merits of the building to a certain extent. Therefore, the field of architectural design has also received more attention from relevant researchers. At the same time, the further development of social economy in the new era also puts forward more requirements for architectural design in the construction industry, which urges researchers to conduct in-depth research on existing architectural design. At the same time, combining some emerging information technologies, a new architectural design mode with better structure and performance is proposed. Image processing technology mainly uses computer algorithms to collect images, thereby converting these images into digital signals that can be recognized by a computer, and then displaying them on a computer display. This image processing technology can also identify and extract information from images, thereby displaying the key information therein. This article mainly analyzes image processing techniques and some data analysis algorithms to obtain the feasibility of their application in visual information mining systems for architectural design. The contribution of this study is to propose

关键词： architectural design visualization technology information mining image processing technology wavelet transform denoising threshold segmentation algorithm data analysis algorithm

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An automated technique for characterising foamed bitumen using ultrasonic sensor system

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INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING 2022年第7期23卷 2242-2254页

作者： Ghosh Mondal, Purbayan Kuna, Kranthi Indian Inst Technol Dept Civil Engn Kharagpur W Bengal India

The foam characteristics that are used to assess the quality of foamed bitumen are conventionally measured manually using a dipstick and stopwatch. Considering the related safety concerns in manual measurement and sensitivity of the performance characteristics of foamed bituminous mixes (FBMs) to the foam characteristics, the present study aimed to improve the process of determining the bitumen foam characteristics during the foaming process. Accordingly, an ultrasonic sensor system which is capable of automatic non-contact measurement of foam characteristics was developed. The capability of the proposed method in terms of producing repeatable results was evaluated based on repeatability limit, Analytical Performance Value (APV) and coefficient of variation (CV). The study results indicate that the ultrasonic sensor system is very promising in terms of its ability to provide a detailed history of the change of volume of foamed bitumen with time with high repeatability. Conversely, the repeatability of the manual method of measurement was found to be very low at all most all foaming conditions. In addition, to eliminate any possibility of error in determining the foam characteristics obtained from the ultrasonic sensor system, a data analysis algorithm was recommended to analyse the bitumen foam height profile data collected from the device.

关键词： Foamed bitumen foam characteristics manual method ultrasonic sensor system automatic non-contact measurement repeatability data analysis algorithm

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A suitable procedure of dose reduction factor measurements of X-ray shields during computed tomography examination- The importance of considering positional changes of an X-ray tube

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RADIATION PHYSICS AND CHEMISTRY 2024年 222卷

作者： Hayashi, Hiroaki Maeda, Tatsuya Takegami, Kazuki Nishigami, Rina Kobayashi, Daiki Asahara, Takashi Goto, Sota Kimoto, Natsumi Kanazawa, Yuki Yamashita, Kazuta Higashino, Kosaku Murakami, Shuichi Konishi, Takeshi Maki, Motochika Kanazawa Univ Coll Med Pharmaceut & Hlth Sci Ishikawa 9200942 Japan Kanazawa Univ Grad Sch Med Sci Kanazawa Ishikawa 9200942 Japan Yamaguchi Univ Dept Radiol Technol Yamaguchi 7558505 Japan Kobe Tokiwa Univ Dept Radiol Technol Kobe Hyogo 6530838 Japan Tokushima Univ Inst Biomed Sci Grad Sch Tokushima 7708503 Japan Tokushima Univ Sch Med Dept Orthoped Tokushima 7708503 Japan Shikoku Med Ctr Children & Adults Dept Orthoped & Rehabil Zentsuji Kagawa 7658507 Japan MEDITEC JAPAN CO LTD Osaka 5410056 Japan

During computed tomography (CT) examinations, radio -sensitive organs located outside the field of view (FOV) are usually exposed to radiation caused by both direct and scattered X-rays. Traditionally, the use of radiation protection products has been an option for reducing exposure doses. The catalog value of the dose reduction factor (DRF) for a commercial X-ray shield is generally determined by the manufacturer using a plain X-ray irradiation system to measure the difference in dose with and without the shield. In contrast, actual shielding ability measurements during clinical CT examinations are usually evaluated using a similar equation, but it is not guaranteed that the incident directions of Xrays will be the same between the measurement data with and without a shield. The purposes of this study are to introduce a novel method for evaluating DRF by accounting for the influence of the X-ray incident direction in helical scanning and to obtain knowledge about the correctness of previously reported DRF values. Experiments pertaining to chest CT examinations were performed using a human body phantom and small -type dosimeters which consist of an optically stimulated luminescence element using Al2O3:C. A total of 100 examinations were iteratively performed, both with and without a shield. The corresponding DRF was then calculated. The novelty of the proposed analysis procedure lies in a paired analysis method, where the DRF is calculated by reorganizing numerous acquired data sets with and without the shield to pair similar incident angles of X-rays. As a result, the DRF values were estimated to be 48.5 +/- 4.3%, 48.7 +/- 2.7%, and 48.9 +/- 1.5% based on the data results within the 10-40 data sets, 40-70 data sets, and 70-100 data sets, respectively. When the DRF values were obtained by the conventional method without applying our sorting procedure, the results were 48.4 +/- 8.1%, even when the 70-100 data sets were used. This result indicates that the proposed me

关键词： Dose reduction factor Computed tomography X-ray shields data analysis algorithm

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BDDS:An efficient data screening algorithm based on binary digit 10

BDDS:An efficient data screening algorithm based on binary d...

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10th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)

作者： Lin, Haowei Xu, Xiaolong Nanjing Univ Posts & Telecommun Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing Jiangsu Peoples R China Nanjing Univ Posts & Telecommun Sch Comp Sci Nanjing Jiangsu Peoples R China

ISBN: (数字)9781728109749

ISBN: (纸本)9781728109749

In order to improve the efficiency and accuracy of data analysis, excellent data screening algorithms are needed in this era of big data. This paper proposes a binary-digit based data screening algorithm (BDDS), utilizing the binary storage form of data in hardware and recording the data changes over a period of time with a binary-bit recorder, whose number of digits in the binary form is used to remove the influence of the medium-distance data from the current data, left shift of the binary form is used to reduce the influence of the data which are very close to the current data, and the decimal meaning is used to determine whether the data are valid data. Experiments have proved that the algorithm, as an auxiliary algorithm, can be better combined with the current mainstream data analysis algorithms to reduce the impact of marginal data, save additional storage space, and improve the accuracy and efficiency of subsequent data analysis.

关键词： Big data data screening data analysis algorithm

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High-throughput peptide quantification using mTRAQ reagent triplex

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BMC BIOINFORMATICS 2011年第1期12卷 1-12页

作者： Yoon, Joo Young Yeom, Jeonghun Lee, Heebum Kim, Kyutae Na, Seungjin Park, Kunsoo Paek, Eunok Lee, Cheolju Seoul Natl Univ Sch Comp Sci & Engn Seoul 151742 South Korea Korea Inst Sci & Technol Div Life Sci Seoul 136791 South Korea Univ Sci & Technol Dept Biomol Sci Taejon 305333 South Korea Univ Seoul Dept Mech & Informat Engn Seoul 130743 South Korea

Background: Protein quantification is an essential step in many proteomics experiments. A number of labeling approaches have been proposed and adopted in mass spectrometry (MS) based relative quantification. The mTRAQ, one of the stable isotope labeling methods, is amine-specific and available in triplex format, so that the sample throughput could be doubled when compared with duplex reagents. Methods and results: Here we propose a novel data analysis algorithm for peptide quantification in triplex mTRAQ experiments. It improved the accuracy of quantification in two features. First, it identified and separated triplex isotopic clusters of a peptide in each full MS scan. We designed a schematic model of triplex overlapping isotopic clusters, and separated triplex isotopic clusters by solving cubic equations, which are deduced from the schematic model. Second, it automatically determined the elution areas of peptides. Some peptides have similar atomic masses and elution times, so their elution areas can have overlaps. Our algorithm successfully identified the overlaps and found accurate elution areas. We validated our algorithm using standard protein mixture experiments. Conclusions: We showed that our algorithm was able to accurately quantify peptides in triplex mTRAQ experiments. Its software implementation is compatible with Trans-Proteomic Pipeline (TPP), and thus enables high-throughput analysis of proteomics data.

关键词： Isotopic Peak Stable Isotope Label Isotopic Cluster data analysis algorithm Peptide Quantification

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