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behavior analysis OF CANTILEVER ARCHED RETAINING STRUCTURES IN FOUNDATION PITS

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2001年第3期2卷 70-73页

作者：张仪萍张土乔 College of Civil Engineering and Architecture Zhejiang University Hangzhou China

The results of systemic behavior analysis of cantilever arched retaining structure reported in this paper have significant value for guiding the design and application of such structure.

关键词： foundation pit cantilever arch retaining structure behavior analysis influencing factors

Implementation of Online Teaching behavior analysis System

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国际计算机前沿大会会议论文集 2021年第2期 399-409页

作者： Xu Zhao Changwei Chen Yongquan Li College of Information Engineering Nanjing Xiaozhuang UniversityNanjing 211171China

Online teaching is gradually spreading widely,but there are problems in online teaching evaluation,such as lack of reference index,students’learning state feedback being hard to get in *** improve online teaching quality and evaluation,a classroom behavior analysis and evaluation system based on deep learning face recognition technology is *** system conducts the model training and tests on the deep learning development framework(TensorFlow).It implements the frame image processing through the Mask R-CNN network,extracts the skeleton and the angle direction information to establish the vector,thus carries out the classroom behavior recognition and analysis,and serves as the appraisal important *** behavior analysis is made and the results show that the recognition rate is high and the learning situation feedback is given in real *** experiment shows that the system has certain robustness and high accuracy in the real *** is convenient for classroom teaching management and implementation,and is helpful to improve the teaching quality.

关键词： Teaching evaluation behavior analysis Deep learning Image processing Face recognition

Android Vault Application behavior analysis and Detection

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国际计算机前沿大会会议论文集 2020年第1期 428-439页

作者： Nannan Xie Hongpeng Bai Rui Sun Xiaoqiang Di Changchun University of Science and Technology Changchun 130022China

With the widespread application of Android smartphones,privacy protection plays a crucial *** vault application provides content hiding on personal terminals to protect user ***,some vault applications do not achieve real privacy protection,and its camouflage ability can be maliciously used to hide illegal information to avoid *** order to solve these two issues,behavior analysis is conducted to compare three aspects of typical vaults in the third-party *** conclusions and recommendations were *** Vector Machine(SVM)was used to distinguish vault from normal *** experiments show that SVM can achieve 93.33%classification accuracy rate.

关键词： Android vault behavior analysis Malware detection Privacy protection

A survey of malware behavior description and analysis

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Frontiers of Information Technology & Electronic Engineering 2018年第5期19卷 583-603页

作者： Bo YU Ying FANG Qiang YANG Yong TANG Liu LIU College of Computer National University of Defense Technology

behavior-based malware analysis is an important technique for automatically analyzing and detecting malware, and it has received considerable attention from both academic and industrial communities. By considering how malware behaves, we can tackle the malware obfuscation problem, which cannot be processed by traditional static analysis approaches, and we can also derive the as-built behavior specifications and cover the entire behavior space of the malware samples. Although there have been several works focusing on malware behavior analysis, such research is far from mature, and no overviews have been put forward to date to investigate current developments and challenges. In this paper, we conduct a survey on malware behavior description and analysis considering three aspects： malware behavior description, behavior analysis methods, and visualization techniques. First, existing behavior data types and emerging techniques for malware behavior description are explored, especially the goals, prin- ciples, characteristics, and classifications of behavior analysis techniques proposed in the existing approaches. Second, the in- adequacies and challenges in malware behavior analysis are summarized from different perspectives. Finally, several possible directions are discussed for future research.

关键词： Malware behavior Static analysis Dynamic analysis behavior data expression behavior analysis Machinelearning Semantics-based analysis behavior visualization Malware evolution

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analysis of Review Helpfulness Based on Consumer Perspective

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Tsinghua Science and Technology 2015年第3期20卷 293-305页

作者： Yuanlin Chen Yueting Chai Yi Liu Yang Xu National Engineering Laboratory for E-Commerce Technologies Tsinghua University DNSLAB China Internet Network Information Center

When consumers make purchase decisions, they generally refer to the reviews generated by other consumers who have already purchased similar products in order to get more information. Online transaction platforms provide a highly convenient channel for consumers to generate and retrieve product reviews. In addition, consumers can also vote reviews perceived to be helpful in making their decision. However, due to diverse characteristics, consumers can have different preferences on products and reviews. Their voting behavior can be influenced by reviews and existing review votes. To explore the influence mechanism of the reviewer, the review, and the existing votes on review helpfulness, we propose three hypotheses based on the consumer perspective and perform statistical tests to verify these hypotheses with real review data from Amazon. Our empirical study indicates that review helpfulness has significant correlation and trend with reviewers, review valance, and review votes. In this paper, we also discuss the implications of our findings on consumer preference and review helpfulness.

关键词： consumer preference online decision making review helpfulness behavior analysis

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Game Outlier behavior Detection System Based on Dynamic Time Warp Algorithm

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Computer Modeling in Engineering & Sciences 2022年第4期131卷 219-237页

作者： Shinjin Kang Soo Kyun Kim School of Games Hongik UniversitySejong30016Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

This paper proposes a methodology for using multi-modal data in gameplay to detect outlier *** proposedmethodology collects,synchronizes,and quantifies time-series data fromwebcams,mouses,and *** expressions are varied on a one-dimensional pleasure axis,and changes in expression in the mouth and eye areas are detected ***,the keyboard and mouse input frequencies are tracked to determine the interaction intensity of ***,we apply a dynamic time warp algorithm to detect outlier *** detected outlier behavior graph patterns were the play patterns that the game designer did not intend or play patterns that differed greatly from those of other *** outlier patterns can provide game designers with feedback on the actual play experiences of users of the *** results can be applied to the game industry as game user experience analysis,enabling a quantitative evaluation of the excitement of a game.

关键词： Facial expression recognition webcam behavior analysis affective computing

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基于环境行为学的社区公共空间居民行为分析

WeBeVis:analyzing user web behavior through visual metaphors

设计 2023年第3期8卷 1813-1820页

作者：东珊西安美术学院建筑环境艺术系，陕西西安

在大多数城市中，社区公共空间由于采用功能主义规划的原因，缺乏了对人的心理、交往等细节设计。同时，经济的繁荣让人们需求也多样化，居民对公共空间不再止步于简单的使用功能，还要兼顾审美、交往以及精神方面等多方面需求。本文将... 详细信息

在大多数城市中，社区公共空间由于采用功能主义规划的原因，缺乏了对人的心理、交往等细节设计。同时，经济的繁荣让人们需求也多样化，居民对公共空间不再止步于简单的使用功能，还要兼顾审美、交往以及精神方面等多方面需求。本文将以环境行为学相关理论为基础，研究社区公共空间到底缺失了什么，并运用环境行为学具体相关方法，以人为本的原则下，为住宅区户外环境设计提供可借鉴理论指导。并通过对中国现存的社区进行的汇总与分析，分别从人的生理需求角度和人的心理需求角度这两个角度，提出在设计中国未来社区公共空间时的要素与设计策略，让社区公共空间设计更人性化，更加符合发展趋势。

关键词：环境行为学社区公共空间行为分析 Environmental behavior Community Public Space behavior analysis

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Science China(Information Sciences) 2013年第5期56卷 76-90页

作者： HUANG Weidong KHOURY Raymes DAWBORN Tim HUANG Bohan HUANG Maolin HUANG Xiaodi CSIRO MarsfieldNSW 2122Australia University of Sydney NSW 2006Australia University of Technology Sydney BroadwayNSW 2007Australia Charles Sturt University AlburyNSW 2640Australia

The rapid growth of Internet usage has dramatically changed the way we interact with the outside *** people read news,communicate with friends and purchase goods *** activities are usually done via web browsing,and web browsers record information about these *** recorded data can be used to understand web browsing behavior of users and improve their browsing *** example,website usability and the personalization of online services could both benefit from knowledge of user browsing behavior.A number of methods including data mining,text processing and visualization have been used to uncover user browsing ***,these methods are mainly used to analyze and gain insights into collective behavior patterns of either a large amount of separate web users or users within an online community over a prolonged period of *** few systems are available for analyzing the detailed behavior of a single user within a relatively short and specific period of *** an attempt to shorten this gap,we have developed a visual analytic system called *** system offers three different ways of visualizing web browsing data based on our proposed visual *** also provides a common interface for users to interact with the *** this paper,we describe this system and present a user study of *** show that by visualizing the web browsing history of a user,we are able to uncover interesting patterns in the way that individuals use the web.

关键词： web browsing behavior analysis visual metaphor visualization algorithm visual analytics evaluation

Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model

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Computers, Materials & Continua 2023年第8期76卷 1995-2013页

作者： Tamilvizhi Thanarajan Youseef Alotaibi Surendran Rajendran Krishnaraj Nagappan Department of Computer Science and Engineering Panimalar Engineering CollegeChennai600123India Department of Computer Science University College of Al JamoumUmm Al-Qura UniversityMakkah21421Saudi Arabia Department of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India School of Computing SRM Institute of Science and TechnologyKattankulathur603203India

Autism spectrum disorder(ASD)can be defined as a neurodevelopmental condition or illness that can disturb kids who have heterogeneous characteristics,like changes in behavior,social disabilities,and difficulty communicating with *** tracking(ET)has become a useful method to detect *** vital aspect of moral erudition is the aptitude to have common visual *** eye-tracking approach offers valuable data regarding the visual behavior of children for accurate and early ***-tracking data can offer insightful information about the behavior and thought processes of people with ASD,but it is important to be aware of its limitations and to combine it with other types of data and assessment techniques to increase the precision of ASD *** operates by scanning the paths of eyes for extracting a series of eye projection points on images for examining the behavior of children with *** purpose of this research is to use deep learning to identify autistic disorders based on eye *** Chaotic Butterfly Optimization technique is used to identify this specific ***,this study develops an ET-based Autism Spectrum Disorder Diagnosis using Chaotic Butterfly Optimization with Deep Learning(ETASD-CBODL)*** presented ETASDCBODL technique mainly focuses on the recognition of ASD via the ET and DL *** accomplish this,the ETASD-CBODL technique exploits the U-Net segmentation technique to recognize interested *** addition,the ETASD-CBODL technique employs Inception v3 feature extraction with CBO algorithm-based hyperparameter ***,the long-shorttermmemory(LSTM)model is exploited for the recognition and classification of *** assess the performance of the ETASD-CBODL technique,a series of simulations were performed on datasets from the figure-shared data *** experimental values of accuracy(99.29%),precision(98.78%),sensitivity(99.29%)and specificity(99.29%)showed a better perfo

关键词： Eye tracking ASD diagnosis deep learning butterfly optimization algorithm behavior analysis