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Journal articles on the topic 'Perception-based Analysis'

Author: Grafiati

Published: 14 March 2023

Last updated: 19 July 2025

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1

Chen, Kui, Junjie Yang, Takahiro Katano, Mitsuhiro Kamezaki, and Shigeki Sugano. "Analysis of Spatial Perception Ability Based on Human Eyesight for Teleoperators." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 351–52. http://dx.doi.org/10.1299/jsmeicam.2015.6.351.

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Chowdhury, Md Asadul Hoque, Farhana Yeasmin Munmun, Shahidul Islam Ifte, Turya Gain, and Dip Nandi. "Human Perception Based on Textual Analysis." International Journal of Intelligent Systems and Applications 16, no. 6 (2024): 84–93. https://doi.org/10.5815/ijisa.2024.06.05.

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The complex process by which humans use their senses to clarify and understand the world around them is referred to as human perception. Analyzing human perception is important for comprehension of how humans think, feel, and act, which is helpful in a variety of contexts and ultimately promotes improved understanding, communication, and engagement. This study examines the field of text mining-based human perception analysis using a precisely chosen dataset of Twitter customer service discussions. Decision Trees, KNN, Naive Bayes, and GLM are four different algorithms that are methodically examined to determine which is the most effective method for understanding and predicting human perception from textual data. After an exhaustive analysis, the Decision Tree algorithm is shown to be the best performer, closely followed by Naive Bayes. The human perception analysis of text mining, including the methodology, findings, and implications, is described in depth.

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Saito, Kazuya, Masafumi Uchida, and Akio Nozawa. "Analysis of Handwriting based on Rhythm Perception." IEEJ Transactions on Fundamentals and Materials 131, no. 4 (2011): 304–5. http://dx.doi.org/10.1541/ieejfms.131.304.

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Garrod, Brian. "Exploring place perception a photo-based analysis." Annals of Tourism Research 35, no. 2 (2008): 381–401. http://dx.doi.org/10.1016/j.annals.2007.09.004.

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Mardiana, Siti, Retno Widhiastuti, and Sumono Sumono. "Management and Employees Perception Analysis on Sugar Industry Waste Management Based on Cleaner Production." Indian Journal of Applied Research 3, no. 10 (2011): 1–4. http://dx.doi.org/10.15373/2249555x/oct2013/67.

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Saito, T., Y. Karasawa, and K. Narisada. "Designing of road lighting based on perception analysis." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 82, Appendix (1998): 156. http://dx.doi.org/10.2150/jieij1980.82.appendix_156.

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Tyler, S., J. O. Garcia, and E. D. Grossman. "Attention-based motion analysis of biological motion perception." Journal of Vision 10, no. 7 (2010): 790. http://dx.doi.org/10.1167/10.7.790.

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Geng, Bingrui, Ke Liu, and Yiping Duan. "Human Perception Intelligent Analysis Based on EEG Signals." Electronics 11, no. 22 (2022): 3774. http://dx.doi.org/10.3390/electronics11223774.

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The research on brain cognition provides theoretical support for intelligence and cognition in computational intelligence, and it is further applied in various fields of scientific and technological innovation, production and life. Use of the 5G network and intelligent terminals has also brought diversified experiences to users. This paper studies human perception and cognition in the quality of experience (QoE) through audio noise. It proposes a novel method to study the relationship between human perception and audio noise intensity using electroencephalogram (EEG) signals. This kind of physiological signal can be used to analyze the user’s cognitive process through transformation and feature calculation, so as to overcome the deficiency of traditional subjective evaluation. Experimental and analytical results show that the EEG signals in frequency domain can be used for feature learning and calculation to measure changes in user-perceived audio noise intensity. In the experiment, the user’s noise tolerance limit for different audio scenarios varies greatly. The noise power spectral density of soothing audio is 0.001–0.005, and the noise spectral density of urgent audio is 0.03. The intensity of information flow in the corresponding brain regions increases by more than 10%. The proposed method explores the possibility of using EEG signals and computational intelligence to measure audio perception quality. In addition, the analysis of the intensity of information flow in different brain regions invoked by different tasks can also be used to study the theoretical basis of computational intelligence.

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Xue, Qing, Wen Chao Xu, Ying Xiao Mao, Ping Gang Yu, and Yong Hong Li. "The Time Analysis of Perception." Advanced Materials Research 532-533 (June 2012): 1201–4. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1201.

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The research of perception time is part of perception model, establish the perception based on depict, calculate the response time and duration of the process of perception, analysis the factor, point of direction of the future research.

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Gui, Jie, and Joohyun Suh. "Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis." Computational Intelligence and Neuroscience 2022 (June 21, 2022): 1–11. http://dx.doi.org/10.1155/2022/8046713.

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Geometric ability includes elements of identification, conceptualization, combination, drawing, and reasoning, and graphic perception is an important part of it. Kindergarten science education includes geometry instruction. Children are guided to perceive the relationship between shapes and figures through direct perception, first-hand experience, and practical operation through concentrated educational activities, and form image-concrete thinking over time, enhancing their perception and experience of the relationship between shapes in the objective world, and accumulating certain mathematical perceptual experience. Clustering is a branch of unsupervised pattern recognition that is very useful. Fuzzy clustering, which establishes the uncertainty description of samples to categories and can objectively reflect the real world, has become the mainstream of cluster analysis research. The graphics perception education of children is investigated using fuzzy clustering analysis. The main topic of this paper is how to apply children’s graphics to the design of children’s educational institutions and open up new creative perspectives for the design of children’s educational institutions. The method of graphic perception education: perception education for preschool children is proposed based on the multichannel characteristics of preschool children’s aesthetic perception and with reference to the theory of perception. The experimental results show that the improved algorithm reduces segmentation time by 171.48 s when compared to the traditional FCM algorithm for both noisy and high-quality images and that it is significantly faster than the FCM algorithm in terms of segmentation speed. As a result, the model construction of a set of children’s graphic perception education for the cognitive characteristics of the age group children can provide corresponding references and references for related topic research.

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Kupka, Jiří, and Pavel Rusnok. "Regression analysis based on linguistic associations and perception-based logical deduction." Expert Systems with Applications 67 (January 2017): 107–14. http://dx.doi.org/10.1016/j.eswa.2016.08.053.

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Hinch, Tom, and Shintaro Kono. "Ultramarathon runners’ perception of place: a photo-based analysis." Journal of Sport & Tourism 22, no. 2 (2017): 109–30. http://dx.doi.org/10.1080/14775085.2017.1371065.

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Bandyopadhyay, Asok, Bhaswati Mukherjee, and Abhisek Hazra. "Perception Based Decision Support System for Handwriting Behaviour Analysis." Procedia Computer Science 84 (2016): 177–85. http://dx.doi.org/10.1016/j.procs.2016.04.084.

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Zhou, Man, Huiying Jia, and Zhen Yan. "Guilin Tourism Image Perception Based on Web Text Analysis." Journal of Physics: Conference Series 1549 (June 2020): 022045. http://dx.doi.org/10.1088/1742-6596/1549/2/022045.

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15

ASO, Megumi. "Landscape Studies based on the Analysis of Visual Perception." Journal of the Japanese Institute of Landscape Architecture 58, no. 3 (1994): 310–11. http://dx.doi.org/10.5632/jila.58.310.

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Cui, J., G. Liu, Z. L. Jia, M. Qi, and M. X. Tang. "Similar Visual Complexity Analysis Model Based on Subjective Perception." IEEE Access 7 (2019): 148873–81. http://dx.doi.org/10.1109/access.2019.2946695.

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Seim, Thorstein, and Arne Valberg. "A neurophysiologically-based analysis of lightness and brightness perception." Color Research & Application 41, no. 4 (2015): 339–51. http://dx.doi.org/10.1002/col.21963.

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Pérez Chauca, Esteban Nicolás, Luis Armando Lema Vaca, and Guillermo Gorky Reyes Campaña. "Crashworthiness analysis based on vehicle color and driver perception." Espirales Revista Multidisciplinaria de investigación 47, no. 7 (2023): 35–47. http://dx.doi.org/10.31876/er.v47i7.850.

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Road safety has been of increasing concern in recent years, and vehicle crashworthiness has been highlighted as a significant challenge. While known factors such as improper driving, road conditions and driving under the influence of substances have contributed to this problem, a new perspective has emerged regarding the color of cars and its impact on crash rates. Recent research has indicated that the color of a vehicle can play an important role in road safety. The colors red, silver, white and black have been identified as those that drivers perceive most clearly in different scenarios, such as time of day, distance and traffic location.

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Tsumura, Norimichi. "3-1. Measuring the Material Perception; Image-based Analysis for Material Perception and Its Applications." Journal of The Institute of Image Information and Television Engineers 66, no. 5 (2012): 349–56. http://dx.doi.org/10.3169/itej.66.349.

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Zhao, Dan, Shengrui Zhang, Bei Zhou, Shuaiyang Jiao, and Ling Yang. "Risk Perception Sensitivity of Cyclists Based on the Cox Risk Perception Model." Sustainability 12, no. 7 (2020): 2613. http://dx.doi.org/10.3390/su12072613.

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To promote the sustainable development and safety of bicycle traffic, survival analysis of the risk perception sensitivity of cyclists is proposed. The cumulative probability of survival serves as an index of risk perception sensitivity, and a Cox regression model is established. The proposed method is applied to middle school cyclists, and the factors of their risk perception are analyzed. Data are collected by questionnaire and traffic conflict survey and are quantified by factor analysis. The model results show that active and extroverted personality, negative peer influence, unsafe riding behavior intention, non-motor vehicle flow and speed, and a lack of separation facilities have negative correlations with risk perception sensitivity. Positive attitude towards traffic rules, good family education, heightened traffic safety awareness, motor vehicle flow and speed, pedestrian flow, and non-motorized lane width have positive correlations with risk perception sensitivity. The conflict type has no correlation with risk perception sensitivity. This study aims to improve the sensitivity of risk perception, prevent traffic conflicts and provide a theoretical basis for risk perception research on vulnerable traffic participants.

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Solehan, Solehan, Alamsyah Harahap, and Irma Diani. "Needs Analysis of English Materials for Islamic Economics Students." SALTeL Journal (Southeast Asia Language Teaching and Learning) 4, no. 2 (2021): 1–6. http://dx.doi.org/10.35307/saltel.v4i2.75.

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This study aims to find out the needs of English material for Islamic economics students. The method employed in this research is descriptive. Forty students and ten stakeholders were asked to complete the questionnaire, and ten stakeholders were interviewed. The result of the research: 1) the highest themes or topics needed based on students' perception is the relevance of Islamic economics, meanwhile based stakeholders' perception is the methodology of Islamic economics; 2) the highest discourse texts needed based on students' perception is Islam as a way of life, whereas based on stakeholders' perception is facts and theories of Islamic economics; and 3) the highest English Skills needed to be based on students and stakeholders' perception is speaking skill. In sum, the researchers concluded that speaking is an important skill needed by the Islamic economics study program of the Muhammadiyah University of Bengkulu.

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Yang, Mingliang, Xinyu Jiao, Kun Jiang, et al. "Online Quantitative Analysis of Perception Uncertainty Based on High-Definition Map." Sensors 23, no. 24 (2023): 9876. http://dx.doi.org/10.3390/s23249876.

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Environmental perception plays a fundamental role in decision-making and is crucial for ensuring the safety of autonomous driving. A pressing challenge is the online evaluation of perception uncertainty, a crucial step towards ensuring the safety and the industrialization of autonomous driving. High-definition maps offer precise information about static elements on the road, along with their topological relationships. As a result, the map can provide valuable prior information for assessing the uncertainty associated with static elements. In this paper, a method for evaluating perception uncertainty online, encompassing both static and dynamic elements, is introduced based on the high-definition map. The proposed method is as follows: Firstly, the uncertainty of static elements in perception, including the uncertainty of their existence and spatial information, was assessed based on the spatial and topological features of the static environmental elements; secondly, an online assessment model for the uncertainty of dynamic elements in perception was constructed. The online evaluation of the static element uncertainty was utilized to infer the dynamic element uncertainty, and then a model for recognizing the driving scenario and weather conditions was constructed to identify the triggering factors of uncertainty in real-time perception during autonomous driving operations, which can further optimize the online assessment model for perception uncertainty. The verification results on the nuScenes dataset show that our uncertainty assessment method based on a high-definition map effectively evaluates the real-time perception results’ performance.

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Choi, Jaeho. "Material Selection: Material Perception Data Analysis Using Clustering Analysis and Association Rule Analysis of Data Mining." Korean Journal of Metals and Materials 62, no. 1 (2024): 65–72. http://dx.doi.org/10.3365/kjmm.2024.62.1.65.

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To select materials suitable for products, material perception, which is the feeling consumers have about materials, has been studied. Material perception data were obtained through surveys using digital logic for bipolar adjective pairs. The material perception data were analyzed through unsupervised learning of data mining. Prior to data analysis, to increase the reliability of the data, the homogeneity of the data between surveys was tested using clustering analysis, correlation analysis and chi-squared test. After checking the homogeneity of the data between surveys, the data were merged. The merged material perception data were analyzed using relative frequencies, hierarchical clustering, and association rules. The relative frequencies obtained from survey participants' selections were used to determine the prevailing perceptions of each material and as basic data for other analyses. In the hierarchical clustering analysis, hierarchy was identified using distances within clusters and distances between clusters. Through association rule analysis, the consumer's simultaneous perceptions of the material can be known, so not only the individual characteristics of the material but also the relational characteristics can be considered when selecting materials based on consumer's perception. The analyzed characteristics were designed into a material perception map, and this material perception map will be a powerful tool to help product designers make better choices that match consumers' perception and experience when selecting materials.

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Sari, Diah Kartika, Made Sukaryawan, Sofia Sanjaya, Eka Ad'hiya, Annisa Nurjannah, and Mega Wulandari. "Student perceptions of the hybrid learning practicum Qualitative Analysis Protein based Constructivism Needham's 5-phase." Jurnal Penelitian Pendidikan IPA 8, no. 6 (2022): 2937–41. http://dx.doi.org/10.29303/jppipa.v8i6.2170.

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This study aims to determine student perceptions of hybrid learning practicum on the topic of qualitative analysis protein-based constructivism Needham's 5-phase. This study uses a quantitative descriptive method. Perception assessment is carried out by referring to 3 dimensions of perception consisting of 4 perception indicators, namely Perception of lecturers, perception of the teaching and learning process, perception of the social environment, and perception of assessment. Data was collected using online questionnaires via google form to students taking biochemistry practicum courses using purposive sampling technique. The results showed that the perception of lecturers obtained a perception level of 74%, the perception of the teaching and learning process was 79%, the perception of the social environment was 81%, and the perception of the assessment was 78%. The percentage of the average perception level was 78%, indicating the feasibility or success of the hybrid learning practicum of qualitative analysis protein based on Needham's five-phase constructivism. Overall, it can be concluded that students' perceptions of the hybrid learning practicum on the topic of qualitative analysis protein based on constructivism Needham's five-phase got the level of perception in the good category

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Song, Wei, Zijian Wen, Zhiyong Xiao, and Soon Cheol Park. "Semantics perception and refinement network for aspect-based sentiment analysis." Knowledge-Based Systems 214 (February 2021): 106755. http://dx.doi.org/10.1016/j.knosys.2021.106755.

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Sumping, A., A. R. Abdul Rasam, N. A. Adnan, and N. Md Saad. "Mapping Immigrant Populations: A GIS-Based Public Perception Exploratory Analysis." IOP Conference Series: Earth and Environmental Science 620 (January 9, 2021): 012018. http://dx.doi.org/10.1088/1755-1315/620/1/012018.

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ZHAO Zi-quan, 赵梓权, 王瑞光 WANG Rui-guang, 郑喜凤 ZHENG Xi-feng, 郝亚茹 HAO Ya-ru, and 陈宇 CHEN Yu. "Systemic Accuracy Analysis of LED Displays Based on Visual Perception." Chinese Journal of Liquid Crystals and Displays 27, no. 3 (2012): 324–31. http://dx.doi.org/10.3788/yjyxs20122703.0324.

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LAST, MARK, and ABRAHAM KANDEL. "PERCEPTION-BASED ANALYSIS OF ENGINEERING EXPERIMENTS IN THE SEMICONDUCTOR INDUSTRY." International Journal of Image and Graphics 02, no. 01 (2002): 107–26. http://dx.doi.org/10.1142/s0219467802000512.

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Comparing frequency distributions of experimental data is a routine engineering task in the semiconductor industry. The existing statistical approaches to the problem suffer from several limitations, which can be partially overcome via the time-consuming visual examination of frequency histograms by an experienced process engineer. This paper presents a novel, fuzzy-based method for automating the cognitive process of comparing frequency histograms. We use the evolving approach of type-2 fuzzy logic to utilize the domain knowledge of human experts. The proposed method is evaluated on the actual results of an engineering experiment, where it is shown to represent the experts' perception of the visualized data more accurately than a wide range of statistical tests. We also outline the potential directions for integrating the perception-based approach with other methods of data visualization and data mining.

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Leeniva, Pasit. "Comparative Analysis of Auditory Perception based on Educational Background Differences." International Journal of Instruction 12, no. 2 (2019): 227–42. http://dx.doi.org/10.29333/iji.2019.12215a.

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DALAR, Mehmet. "PERCEPTION OF TURKEY IN GERMANY: AN ANALYSIS BASED FIELD RESEARCH." Journal of Management and Economics Research 18 (2012): 33–47. http://dx.doi.org/10.11611/jmer20.

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Xuan, Zhou, and Zhang Jianmin. "Extraction of Miao Embroidery Culture Factors Based on Perception Analysis." E3S Web of Conferences 179 (2020): 02086. http://dx.doi.org/10.1051/e3sconf/202017902086.

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Through the way of creating model, this paper deeply explores and analyses the extraction of Miao embroidery cultural factors, endows traditional embroidery with new vitality, further enriches the cultural connotation of products, inherits the fine Miao embroidery culture and endows it with new vitality, promotes it to be further developed on the basis of adapting to the development environment of the new era, and better meets the diversification and individualization of various users. Firstly, this paper collects data from various channels, collects appropriate morphological samples according to relevant standards or requirements after integrating them scientifically and reasonably, chooses the method of semantic difference which is widely used at present, and compiles a five-point psychological scale which is reliable, reasonable, standardized and effective. At the same time, it discusses it comprehensively and deeply through the classical analytic hierarchy process. Various factors affecting the vocabulary of stylistic features and their importance are ranked to determine the most significant and prominent cultural factors. The main purpose of this paper is to combine the two different fields of culture and design rationally, so as to promote the further enrichment of product culture on the basis of inheriting and developing traditional culture.

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Anana, Edar, and Walter Nique. "Perception-Based Analysis: An innovative approach for brand positioning assessment." Journal of Database Marketing & Customer Strategy Management 17, no. 1 (2010): 6–18. http://dx.doi.org/10.1057/dbm.2009.32.

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Koh, Jung-Kil. "Analysis of Physical Education Teachers’ Perception for Project Based Learning." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 2 (2023): 817–31. http://dx.doi.org/10.22251/jlcci.2023.23.2.817.

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Objectives The purpose of this study was to examine the perception and experience of physical education teachers for project based learning, and to derive implications for revitalizing physical education classes to which project based learning is applied. Methods To this end, a survey was conducted targeting 198 secondary school physical education teachers nationwide, and a total of 182 data were collected and frequency analysis was conducted. Results Results of the study First, physical education teachers recognized that project based learning was necessary in physical education classes. Based on high awareness and interest in project based learning, it was found that the necessity was recognized and expectations were high. Second, physical education teachers recognized that project based learning had a large impact on physical education classes. Only 39.4% of PE teachers had experience of project based learning in PE class, and although it was found that the experience was concentrated in the area of expression with strong creative elements, they recognized the effectiveness and strength of project learning. Third, physical education teachers recognized that the realization of project based learning in physical education classes was sufficiently possible. For this purpose, it was recognized that it was necessary to systematically plan lessons and strengthen organizational competence of physical education teachers through teacher training and teacher learning community. Conclusions Based on the above results, the following implications were obtained. First, project based learning is a learning method necessary for realizing learner-centered physical education classes linked to real life. Second, physical education classes applying project based learningcan realize a balanced holistic education of body, intelligence, and personality. Third, the possibility of realization in the field should be expanded by strengthening the competency of physical education teachers for project based learning.

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Chee, Hyun-Kyung, and Hyeonmi Hong. "Analysis of Pre-service Teacher’s Perception of AI based Education." Journal of Digital Contents Society 24, no. 8 (2023): 1729–39. http://dx.doi.org/10.9728/dcs.2023.24.8.1729.

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Memon, Neelofer, Zafi Sherhan Syed, and Komal Memon. "NLP-Based Analysis of Public Perception Regarding Covid-19 Vaccines." NUML International Journal of Engineering and Computing 2, no. 1 (2023): 43–52. http://dx.doi.org/10.52015/nijec.v2i1.26.

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The Covid-19 pandemic affects millions of people throughout the world. Everyone's life gets disturbed because of this pandemic. The Covid-19 vaccines are now freely available, but people still get feared because of the rumors spread by social media. Despite recommendations from experts, people show conceptions and perceptions regarding vaccines on social media platforms. The main objective of this study is to introduce the methodology to analyze the public's views regarding covid-19 vaccines using a publicly available worldwide Twitter dataset. In this study, we have used Natural Language Processing to analyze the sentiments. For sentiment analysis, we use Keras embeddings (deep Neural network) and Top2vec for topic modeling. This research will aid the government so that they can distinguish the major issues and provide preventive measures by taking the help of social media.

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付, 瑞鑫. "Analysis of College Students’ Happiness Perception Based on Deep Learning." Modeling and Simulation 11, no. 06 (2022): 1424–33. http://dx.doi.org/10.12677/mos.2022.116134.

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Han, Yajun, Qingming Zhang, and Hongyu Ji. "Analysis of Automatic Driving Perception Teaching Based on SLAM Technology." Journal of International Education and Development 5, no. 7 (2021): 26–30. http://dx.doi.org/10.47297/wspiedwsp2516-250005.20210507.

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Sabar, Budi Raharjo, Yuliana Lia, and Purnama Joko. "New Students' Perceptions on the Implementation of Zoning-Based PPDB." Education Quarterly Reviews 4, no. 1 (2021): 1–11. https://doi.org/10.31014/aior.1993.04.01.168.

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This research aims to determine the perceptions of new students on the implementation of zoning-based PPDB (New Learner Admission Activities). The method in this research was mixed-method approach. Primary data was obtained through distributing questionnaires filled out by students. Samples were taken using purposive sampling technique in five cities, including Bandung, Surakarta, Surabaya, Pontianak and Serang. The data analysis technique used the Miles and Huberman model. The results show that the school which initially received the favourite label is still the favourite one because of the facilities and infrastructure and the implementation of the existing learning process in the school. The zoning system based on student perceptions does not reduce enthusiasm for learning. The zoning-based PPDB for junior high school and senior high school is more guaranteed for students who live close to the school to get the target school. The zoning system has been well implemented in four cities, including Surabaya, Bandung, Surakarta and Pontianak. In addition, the zoning system can save money.

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j, j., and j. j. "Analyzing Differences in Cruise Tourist Decision: Making Processes Based on Value Perception." International Academy of Global Business and Trade 19, no. 5 (2023): 95–110. http://dx.doi.org/10.20294/jgbt.2023.19.5.95.

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Purpose - The purpose of this study was to analyze differences in the decision-making process of cruise travelers based on value perceptions. The analysis was conducted from the perspective of travelers seeking information online, and pre-decision, purchase decision, and post-sharing were analyzed to draw implications. Design/Methodology/Approach - The research methodology of this paper is as follows. A survey was conducted among potential travelers who are planning a cruise trip, especially those who are exposed to the digital environment and make pre-trip research and purchase decisions online. After conducting factor analysis for each factor, the relationship between variables was verified through MANOVA. In addition, cluster analysis was used to check for differences between groups and to determine whether there were differences between groups for each variable. Findings - As a result of the study, we were able to divide the clusters into three groups: low-, medium-, and high-value. For each cluster, we analyzed the difference in preference for digital tourism platforms at different stages of the cruise decision-making process. The results are reported in detail in the main text. Research Implications - While previous studies have conducted empirical research by incorporating theories on the traveler purchase decision-making process, this study is significant in that it analyzes the differences between groups of digital travelers as they increasingly make purchases online. It is expected to show theoretical and practical implications.

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Hermas Gunawan and Wiyogo. "ANALYSIS OF FACTORS AFFECTING WORK READINESS BASED ON STUDENT PERCEPTION USING PARETO ANALYSIS." PARENTAS: Jurnal Mahasiswa Pendidikan Teknologi dan Kejuruan 9, no. 1 (2023): 12–18. http://dx.doi.org/10.37304/parentas.v9i1.8989.

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The analysis of students' perceptions of job readiness was conducted using the Pareto analysis method. The results showed that interpersonal skills were the main factor that most influenced students' perceptions of job readiness, with a frequency of 40%. Hard skills had a frequency of 37%, while soft skills had a frequency of 23%. Interpersonal skills are necessary for building good relationships between employees and superiors, colleagues, and customers. Hard skills determine whether employees have the technical skills required in their field of work, while soft skills are essential in problem-solving and making the right decisions in the workplace. Therefore, students need to improve their interpersonal skills by training skills such as communication, leadership, collaboration, and empathy. Hard skills can be improved by increasing technical knowledge and direct practice in the desired field of work. Soft skills can be honed through exercises in creativity, innovation, data analysis, and conflict resolution. Students also need to understand the importance of having a balanced set of interpersonal, hard, and soft skills to prepare themselves well for the job market. They should take advantage of opportunities to participate in extracurricular activities, internships, or relevant training and certification courses. By improving their interpersonal, hard, and soft skills, students will be able to strengthen their perception of job readiness and increase their chances of getting good jobs and succeeding in the future. Furthermore, companies can obtain more qualified and productive employees, helping them to achieve their business goals more effectively.Keywords: Student Perceptions, Job Readiness, Interpersonal Skills, Hard Skills, Soft Skills, Pareto, Gaps

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Xu, Jijin, and Zhen Liang. "Multiview Fusion 3D Target Information Perception Model in Nighttime Unmanned Intelligent Vehicles." Journal of Function Spaces 2022 (August 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/9295395.

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Unmanned technology is an important development project of today’s cutting-edge science and technology, which has a significant impact on social and economic development, national defense construction, and scientific and technological development. The rapid development of industrial information technology has driven the unmanned intelligent vehicle system to innovate and gradually enter the public’s view, and at the same time, the driving safety of unmanned intelligent vehicles is also widely concerned. Target information perception system is the foundation of unmanned system and the fundamental guarantee of safety and intelligence of unmanned vehicles. There are three key problems of target recognition in unmanned driving, namely, target classification, localization, and attitude determination. In the implementation of a networked virtual environment system, a flexible and complete perception model is needed as the guiding model of the system. Since 3D point cloud data can provide more spatial information than 2D RGB image data, it is more beneficial to determine the target category, position, and pose in 3D. In this paper, based on the existing research of unmanned intelligent vehicle perception system, we combine the application of fusion of 3D target information perception model and develop a nighttime unmanned system based on multiview fusion of 3D target information perception model. This system can simultaneously perform the detection of multiple categories of objects and predict the center point, length, width, height, and orientation of the objects, so that the unmanned car can sense the location of the surrounding objects when driving in the actual scene.

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Kühn, Anna-Lena, Markus Stiglbauer, and Ev Zschäckel. "Values-based management in cooperative banks: Balancing self-perception with public perception?" Corporate Ownership and Control 10, no. 3 (2013): 69–85. http://dx.doi.org/10.22495/cocv10i3siart6.

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The main target of cooperative banks is not to maximize profits but to jointly manage a business. With this in mind, assuming a stakeholder-oriented behavior of cooperative banks, we address whether cooperative banks consider multiple stakeholder values and take a sustainable governance approach. We conduct a content analysis of the annual reports of German cooperative banks, with reference to two research questions: Are the basic principles and values of cooperatives optimally realized and communicated to external stakeholders? Can cooperative banks comply with the requirements of the triple bottom line, namely the economic, environmental and social responsibility? We find that cooperative banks do not effectively communicate their cooperative values and thus inadequately manage to demonstrate the implementation of their core values. Yet cooperative banks avail of a sustainable business model that offers the potential of sustainable business conduct.

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Arianingsih, A., and M. F. K. Musyaafa. "An Error Analysis of the Perception Based on Accent in Japanese." Proceeding of International Conference on Business, Economics, Social Sciences, and Humanities 6 (March 31, 2023): 623–32. http://dx.doi.org/10.34010/icobest.v4i.436.

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Japanese has many words that have similar syllables but different meanings. However, for non-native speakers, these differences in meaning are quite difficult to spot as they can only be distinguished by tone also refers to accent. This study aims to analyze the misperception of accents in words with the same syllable. The data collected in this study were conducted through a perception test. These words were categorized based on the error types of the specified syllables. This study’s respondents are 20 students of the 3rd and 5th semester Japanese Department of Universitas Komputer Indonesia in the 2022/2023 academic year. The results showed that accent perception errors in respondents mostly occurred in Odaka accent patterns and many words with accents of 4 mora. Perception errors occur because students are unfamiliar with the vocabulary and accent patterns. This is related to the length of student learning.

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Choi, Seo-Rin, Sang-Ok Park, and Jeong-Suk Jang. "Analysis on Teachers' Performance and Goal Perception of Innovative Education District Projects Using Cluster Analysis: Focusing on the case of Incheon Education Innovation District." Educational Research Institute of Kongju National University 37, no. 1 (2022): 47–68. http://dx.doi.org/10.31366/jer.2022.37.1.47.

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The purpose of this study is to understand the actual status of teachers' performance perception of innovative education district projects, verify the effect of participation experience on teachers' perception, and analyze goal perception according to the characteristics of performance perception. To this end, a survey was conducted on 950 teachers in seven areas of the Incheon Education Innovation District. As a result of the study, first, the school area-linked vision and planning, sustainability, and educational cooperation system were derived as four sub-factors of teachers' performance perception of innovative education district projects. Second, as a result of analyzing the difference in performance perception according to the experience of participation in the innovative education district project, the perception of teachers with experience of participation was higher than that of teachers without participation experience. Third, based on the characteristics of teachers' performance perception of innovative education districts, it was classified into four clusters, such as; 'a cluster with very high overall perception', 'a cluster with very low overall perception', 'a cluster with high overall perception'. and 'a cluster with low overall awareness'. Fourth, according to the teacher's performance recognition cluster, the level of goal recognition showed a significant difference, and the higher the performance recognition, the higher the goal recognition. Based on the research results, policy and practical measures were proposed for the development of sustainable innovative education districts and business operation.

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Kresnanto, Nindyo Cahyo, Wika Harisa Putri, Rini Raharti, Muhamad Willdan, and Raihan Iqbal Ramadhan. "Perception Investigation Based on the Commuting Cost Model." Applied Research on Civil Engineering and Environment (ARCEE) 4, no. 02 (2023): 95–103. http://dx.doi.org/10.32722/arcee.v4i02.5546.

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Travel expenses are a significant factor in transportation planning. In addition to the other aspect, travel time, the community considers expense as the necessary element in deciding which mode the communities should take. However, there is a gap between the actual transport expense and the commuter's perception. Thus, comprehensive knowledge is urgently needed particularly to be seen as a major variable in transportation planning that sided with underprivileged groups of transport poverty. The study focused on describing the correlation between income and commuting transportation expenses. The analysis was carried out using two methods. The first method is a descriptive analysis used to provide insight into the patterns and characteristics of the data obtained from interviews with 421 respondents. The second method is regression analysis (linear and nonlinear) to explain the relation pattern between the dependent (commuting transportation expenses) and independent (income) variables. The study's findings demonstrate that transportation expenses follow a negative polynomial regression pattern on income, further implying that the percentage of transportation expenses in low-income communities is significantly higher than those in high-income communities.

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Bait, Jennifer Farihatul, Abdul Majid, and Sri Yaumi. "DIFFERENTIATION STRATEGY ANALYSIS IN KAPAL GARDEN HOTEL USING VALUE CHAIN ANALYSIS AND PERCEPTION GAP ANALYSIS." International Conference of Business and Social Sciences 3, no. 1 (2023): 243–65. http://dx.doi.org/10.24034/icobuss.v3i1.368.

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The differentiation strategy analysis carried out in this study aimed to find out what types of differentiation strategies which are applied by Kapal Garden Hotel (KGH) based on Thomson’s, et al. (2022) five types of competitive strategies. As supporting material, the analysis of consumer segments, the factors driving differentiation, and gap analysis were also examined. The gap analysis is used to determine whether there is any gap in differentiation perception between the management and KGH consumers in the company. This research is a descriptive quantitative study in which data collection is obtained from questionnaires distribution. The instruments were obtained from the distinguishing features of Thomson's, et. al. (2022) strategy types, segmentation in the tourism industry according to Bowie, et al. (2016), and the differentiation driving factors which were analyzed using value chain analysis tool. The perception gap analysis was done by comparing the percentage of the results of consumer perception mapping and corporate strategic group mapping. The results indicated that KGH has a tendency to apply broad differentiation strategy which were supported by the results of the KGH consumer analysis which tends to target 3-star hotel consumers widely. KGH differentiated its products to target 3-star hotel consumers rather than specific consumers of certain niches, and perception gap analysis found that there was a perception gap between the management and KGH consumers.

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Qian, Tao, Ying Li, and Jun Chen. "Nonlinear Perception Characteristics Analysis of Ocean White Noise Based on Deep Learning Algorithms." Mathematics 12, no. 18 (2024): 2892. http://dx.doi.org/10.3390/math12182892.

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Caused by nonlinear vibration, ocean white noise exhibits complex dynamic characteristics and nonlinear perception characteristics. To explore the potential application of ocean white noise in engineering and health fields, novel methods based on deep learning algorithms are proposed to generate ocean white noise, contributing to marine environment simulation in ocean engineering. A comparative study, including spectrum analysis and auditory testing, proved the superiority of the generation method using deep learning networks over general mathematical or physical methods. To further study the nonlinear perception characteristics of ocean white noise, novel experimental research based on multi-modal perception research methods was carried out within a constructed multi-modal perception system environment, including the following two experiments. The first audiovisual comparative experiment thoroughly explores the system’s user multi-modal perception experience and influence factors, explicitly focusing on the impact of ocean white noise on human perception. The second sound intensity testing experiment is conducted to further explore human multi-sensory interaction and change patterns under white noise stimulation. The experimental results indicate that user visual perception ability and state reach a relatively high level when the sound intensity is close to 50 dB. Further numerical analysis based on the experimental results reveals the internal influence relationship between user perception of multiple senses, showing a fluctuating influence law to user visual concentration and a curvilinear influence law to user visual psychology from the sound intensity of ocean white noise. This study underscores ocean white noise’s positive effect on human perception enhancement and concentration improvement, providing a research basis for multiple field applications such as spiritual healing, perceptual learning, and artistic creation for human beings. Importantly, it provides valuable references and practical insights for professionals in related fields, contributing to the development and utilization of the marine environment.

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Du, Yishu, and Dong Xu. "Analysis of Graphic Design Based on AI Interaction Technology." Journal of Environmental and Public Health 2022 (September 12, 2022): 1–7. http://dx.doi.org/10.1155/2022/8493528.

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The naive Bayes classification algorithm is used to determine the plane feature vector, and the color image enhancement algorithm based on the visual characteristics is used to improve the local contrast of the plane visual image. In addition, based on the visual perception intensity of each region of the interactive interface and the importance of visual perception elements in the edge contour, a hierarchical optimization model of graphical HMI is established, which is solved by the genetic algorithm. Finally, it has been proved that this system has high efficiency in image color processing, and the image enhancement effect is better, which meets the requirements of human visual perception. The contribution of this study lies in the design of the human-computer interface plane visual image color enhancement system, so as to improve the visual effect of plane visual image color.

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Sujatna, Yayat, Siti Siti Maryama, and Uki Masduki. "Marketplace Positioning in Indonesia Based on Consumer Perception." Shanlax International Journal of Management 8, no. 1 (2020): 8–15. http://dx.doi.org/10.34293/management.v8i1.3175.

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The purpose of this study is to analyze the positioning of the marketplace in Indonesia based on consumer perception. The data used are primary data through questionnaire distribution to 350 respondents with a Linkert measurement scale. The analysis technique uses Multidimensional Scaling Analysis (MDSA). From the results of this study, it was found that the marketplace position in Indonesia has similarities and differences based on consumer perceptions. Marketplace shop and Lazada have similarities in ease of use, information quality, application design, and ability to control process (process controllability). In contrast, Tokopedia has similarities in ease of use (ease for use), customer service (customer service), and price).

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Dell'Aversana, Paolo. "An expanded idea of imaging in geophysics through multimodal data analysis." Leading Edge 42, no. 8 (2023): 550–56. http://dx.doi.org/10.1190/tle42080550.1.

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In situations where visual stimuli are uncertain or degraded, auditory perception is crucial and can complement visual perception. Research on multimodal perception has confirmed in many areas of study that the existence of one stimulus can impact the perception of another type of stimulus. Based on these concepts, which are well-established in cognitive sciences, we introduce the idea of expanded (or augmented) imaging in geophysics, which refers to an integrated and coherent data representation based on dual-sensory (audiovisual) perception of the same data set. First, we explain the basic principles of multimodal analysis of seismic data using the theory of augmented imaging. Then, we provide examples and applications on real data at varying spatial scales, from individual seismic traces to entire seismic sections.

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