Operation and Consideration of a Pipe Corrosion Inspection System Based on Human-in-the-Loop Machine Learning

The aim of this study is to improve the efficiency of external corrosion inspection of pipes in chemical plants.Currently,the preferred method involves manual inspection of images of corroded pipes;however,this places significant workload on human experts owing to the large number of required images.Furthermore,visual assessment of corrosion levels is prone to subjective errors.To address these issues,we developed an AI(artificial intelligence)-based corrosion-diagnosis system(AI corrosion-diagnosis system)and implemented it in a factory.The proposed system architecture was based on HITL(human-in-the-loop)ML(machine learning)[1].To overcome the difficulty of developing a highly accurate ML model during the PoC(proof-of-concept)stage,the system relies on cooperation between humans and the ML model,utilizing human expertise during operation.For instance,if the accuracy of the ML model was initially 60%during the development stage,a cooperative approach would be adopted during the operational stage,with humans supplementing the remaining 40%accuracy.The implemented system’s ML model achieved a recall rate of approximately 70%.The system’s implementation not only contributed to the efficiency of operations by supporting diagnosis through the ML model but also facilitated the transition to systematic data management,resulting in an overall workload reduction of approximately 50%.The operation based on HITL was demonstrated to be a crucial element for achieving efficient system operation through the collaboration of humans and ML models,even when the initial accuracy of the ML model was low.Future efforts will focus on improving the detection of corrosion at elevated locations by considering using video cameras to capture pipe images.The goal is to reduce the workload for inspectors and enhance the quality of inspections by identifying corrosion locations using ML models.

Comparison and Inspiration of the Theme of Relationship between Human Beings and Nature in the Field of Literature between China and the West

The relationship between human beings and nature influences the expressions and manifestations of literature. Literature can spy on the nature exploration of human society and ideological values in the thinking and behavior patterns,expressing the relationship between human beings and nature. Through expressions of literature in China and the West,we draw lessons from W estern literary expressions in the developing relationship between man and nature,and get inspiration for the development of Chinese literature.

Report for Investigating the Relationship between Human activities and Environment

It is well established that environmental pollutions are most popular topics recendy and the factor of that is a dominant element that is worth to investigate to large extent.According to lots of human performance so far,negative human activities are like to be a vital driving force of pollutions in some cases.Therefore,the relationship between environment and negative human performance should be researched,which can give better methods to protect natural environment.

Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model

Sleep posture surveillance is crucial for patient comfort,yet current systems face difficulties in providing compre-hensive studies due to the obstruction caused by blankets.Precise posture assessment remains challenging because of the complex nature of the human body and variations in sleep patterns.Consequently,this study introduces an innovative method utilizing RGB and thermal cameras for comprehensive posture classification,thereby enhancing the analysis of body position and comfort.This method begins by capturing a dataset of sleep postures in the form of videos using RGB and thermal cameras,which depict six commonly adopted postures:supine,left log,right log,prone head,prone left,and prone right.The study involves 10 participants under two conditions:with and without blankets.Initially,the database is normalized into a video frame.The subsequent step entails training a fine-tuned,pretrained Visual Geometry Group(VGG16)and ResNet50 model.In the third phase,the extracted features are utilized for classification.The fourth step of the proposed approach employs a serial fusion technique based on the normal distribution to merge the vectors derived from both the RGB and thermal datasets.Finally,the fused vectors are passed to machine learning classifiers for final classification.The dataset,which includes human sleep postures used in this study’s experiments,achieved a 96.7%accuracy rate using the Quadratic Support Vector Machine(QSVM)without the blanket.Moreover,the Linear SVM,when utilized with a blanket,attained an accuracy of 96%.When normal distribution serial fusion was applied to the blanket features,it resulted in a remarkable average accuracy of 99%.

Research on intelligent search-and-secure technology in accelerator hazardous areas based on machine vision

Prompt radiation emitted during accelerator operation poses a significant health risk,necessitating a thorough search and securing of hazardous areas prior to initiation.Currently,manual sweep methods are employed.However,the limitations of manual sweeps have become increasingly evident with the implementation of large-scale accelerators.By leveraging advancements in machine vision technology,the automatic identification of stranded personnel in controlled areas through camera imagery presents a viable solution for efficient search and security.Given the criticality of personal safety for stranded individuals,search and security processes must be sufficiently reliable.To ensure comprehensive coverage,180°camera groups were strategically positioned on both sides of the accelerator tunnel to eliminate blind spots within the monitoring range.The YOLOV8 network model was modified to enable the detection of small targets,such as hands and feet,as well as larger targets formed by individuals near the cameras.Furthermore,the system incorporates a pedestrian recognition model that detects human body parts,and an information fusion strategy is used to integrate the detected head,hands,and feet with the identified pedestrians as a cohesive unit.This strategy enhanced the capability of the model to identify pedestrians obstructed by equipment,resulting in a notable improvement in the recall rate.Specifically,recall rates of 0.915 and 0.82were obtained for Datasets 1 and 2,respectively.Although there was a slight decrease in accuracy,it aligned with the intended purpose of the search-and-secure software design.Experimental tests conducted within an accelerator tunnel demonstrated the effectiveness of this approach in achieving reliable recognition outcomes.

On the Relationship Between Human Rights and Sovereignty

The relationship between human lights and sovereignty is a key theoretical and practical issue that has aroused heated debate in the international human lights field. What are the viewpoints and positions of Western countries and developing countries on this issue？ What is the deeply rooted reason for this debate？ How can the relationship between the two be properly handled？ This article will analyze these questions.

On the Relationship between Human Rights Protection and Economic Development

British Economist Angus Maddison said that eco nomic development is a recent phenomenon inhuman history. Although human species have lived on the planet at least 2.5 million years, economic development only appeared around the 1850s. In pursuit of economic development, not all nationalities have been equally lucky. Among more than 200 countries in the world, only dozens of countries are devel oped. Onethird of the world＇s total population of 6.5 billion are living in poverty. In both developing and developed countries, the wealth gap is often obvious. Therefore, eco nomic development is the goal of each country, the aim of each politi cal party, and the wish of all people. However, economic development usually baffles people. As a result, understanding the relationship be tween economic development and human rights protection is a matter of urgency.

Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition

Artificial intelligence(AI)technology has become integral in the realm of medicine and healthcare,particularly in human activity recognition(HAR)applications such as fitness and rehabilitation tracking.This study introduces a robust coupling analysis framework that integrates four AI-enabled models,combining both machine learning(ML)and deep learning(DL)approaches to evaluate their effectiveness in HAR.The analytical dataset comprises 561 features sourced from the UCI-HAR database,forming the foundation for training the models.Additionally,the MHEALTH database is employed to replicate the modeling process for comparative purposes,while inclusion of the WISDM database,renowned for its challenging features,supports the framework’s resilience and adaptability.The ML-based models employ the methodologies including adaptive neuro-fuzzy inference system(ANFIS),support vector machine(SVM),and random forest(RF),for data training.In contrast,a DL-based model utilizes one-dimensional convolution neural network(1dCNN)to automate feature extraction.Furthermore,the recursive feature elimination(RFE)algorithm,which drives an ML-based estimator to eliminate low-participation features,helps identify the optimal features for enhancing model performance.The best accuracies of the ANFIS,SVM,RF,and 1dCNN models with meticulous featuring process achieve around 90%,96%,91%,and 93%,respectively.Comparative analysis using the MHEALTH dataset showcases the 1dCNN model’s remarkable perfect accuracy(100%),while the RF,SVM,and ANFIS models equipped with selected features achieve accuracies of 99.8%,99.7%,and 96.5%,respectively.Finally,when applied to the WISDM dataset,the DL-based and ML-based models attain accuracies of 91.4%and 87.3%,respectively,aligning with prior research findings.In conclusion,the proposed framework yields HAR models with commendable performance metrics,exhibiting its suitability for integration into the healthcare services system through AI-driven applications.

Human-Machine Symbiosis:Philosophical Reflection on Virtual Human

Virtual human is the simulation of human under the synthesis of virtual reality,artificial intelligence,and other technologies.Modern virtual human technology simulates both the external characteristics and the internal emotions and personality of humans.The relationship between virtual human and human is a concrete expression of the modern symbiotic relationship between human and machine.This human-machine symbiosis can either be a fusion of the virtual human and the human or it can cause a split in the human itself.

Conformal Human–Machine Integration Using Highly Bending‑Insensitive,Unpixelated,and Waterproof Epidermal Electronics Toward Metaverse

Efficient and flexible interactions require precisely converting human intentions into computer-recognizable signals,which is critical to the breakthrough development of metaverse.Interactive electronics face common dilemmas,which realize highprecision and stable touch detection but are rigid,bulky,and thick or achieve high flexibility to wear but lose precision.Here,we construct highly bending-insensitive,unpixelated,and waterproof epidermal interfaces(BUW epidermal interfaces)and demonstrate their interactive applications of conformal human–machine integration.The BUW epidermal interface based on the addressable electrical contact structure exhibits high-precision and stable touch detection,high flexibility,rapid response time,excellent stability,and versatile“cut-and-paste”character.Regardless of whether being flat or bent,the BUW epidermal interface can be conformally attached to the human skin for real-time,comfortable,and unrestrained interactions.This research provides promising insight into the functional composite and structural design strategies for developing epidermal electronics,which offers a new technology route and may further broaden human–machine interactions toward metaverse.

Industrial Dehumanization——Viewed from the husband and wife relationship in "Odour of Chrysanthemums"

Lawrence is regarded as one of most accomplished short story writers in twentieth century,with "Odour of Chrysanthemums" one of his early works.Through the death of a miner,the text shows how humanity was ruined by industrial civilization.This essay is intended to unveil the destructive force by analyzing the relationship between the husband and wife.

Human and Machine Vision Based Indian Race Classification Using Modified-Convolutional Neural Network

The inter-class face classification problem is more reasonable than the intra-class classification problem.To address this issue,we have carried out empirical research on classifying Indian people to their geographical regions.This work aimed to construct a computational classification model for classifying Indian regional face images acquired from south and east regions of India,referring to human vision.We have created an Automated Human Intelligence System(AHIS)to evaluate human visual capabilities.Analysis of AHIS response showed that face shape is a discriminative feature among the other facial features.We have developed a modified convolutional neural network to characterize the human vision response to improve face classification accuracy.The proposed model achieved mean F1 and Matthew Correlation Coefficient(MCC)of 0.92 and 0.84,respectively,on the validation set,outperforming the traditional Convolutional Neural Network(CNN).The CNN-Contoured Face(CNN-FC)model is developed to train contoured face images to investigate the influence of face shape.Finally,to cross-validate the accuracy of these models,the traditional CNN model is trained on the same dataset.With an accuracy of 92.98%,the Modified-CNN(M-CNN)model has demonstrated that the proposed method could facilitate the tangible impact in intra-classification problems.A novel Indian regional face dataset is created for supporting this supervised classification work,and it will be available to the research community.

Ontogeny of expression of transforming growth factor-βand its receptors and their possible relationship with scarless or scar-forming healing in human fetal and postnatal skins

Fetal eutaneous wounds that oeeur in earlygestation heal without sear formation.Althoughmueh work has been done to eharaeterize the roleof transforming growth

Between the Heaven and Human Beings: On the Idea of the Heaven and the Transformation of Poetry in the Mid-Tang Dynasty

The relationship between the Heaven and human beings is a central issue in the transformation of Confucianism in the Mid-Tang Dynasty.The discourses on the Heaven by Han Yu,Liu Zongyuan,and Liu Yuxi helped to promote the transformation and greatly influenced the transformation in literature.The differences in the poetry among the three authors may also be interpreted from the perspective of their perceptions of the Heaven—Han Yu’s discourse on the Heaven focused on the enemy-relationship between the Heaven and human beings,so his poems always showed tension and loss.Liu Zongyuan was interested in the alienation between the heaven and human beings,so his poems were more rational and placid than Han Yu’s.However,Liu Yuxi’s discourse on the Heaven paid attention to the positive influence of the Heaven on human beings,and most of his poems were filled with reason.The changes in the relationship between the Heaven and human beings lead to the broadened themes,innovated vocabulary,diversified styles,and varied fresh imageries.Likewise,the relationship between the Heaven and human beings established in the Song Dynasty led accordingly to a new type of literature different from the Tang literature.

人类“绿色基因”假说(Human"Green-Gene"Hypothesis):核心内容、科学佐证与实践意义

首先,对人类“绿色基因”的形成进行探讨,包括人类(动物)与植物共同维持大气中碳氧平衡、人类(动物)与植物互为食物链关系、人体功能中存在植物性功能、绿色是人类眼睛最易看到的颜色、人类血红蛋白的结构相似于叶绿素结构、作为人体呼吸器官的肺部相似于树木地上部形状(树形)、人类肠道绒毛相似于植物根系毛细根等方面。进而对支持早期人类生活的植物类型与栽培植物诞生进行研究。在此基础上,提出人类“绿色基因”假说及其核心内容,归纳该假说的科学佐证。人类“绿色基因”假说从整体的、发展的思维解释人类与植物关系,奠定了园艺疗法、园林康养、森林康养的坚实基础,并指出接触植物、进行园艺操作与田园劳作是人们实现接地、激发触觉潜在功能的途径。

RELATIONSHIP BETWEEN MAN AND NATURE IN TRADITIONAL HUMAN RIGHTS CONCEPTS OF CHINA AND WEST

As the process of economic globalization gathers momentum, dialogue between different cultures has become extremely important. There should be dialogue between the Chinese and Western cultures under the principle of equality and mutual respect and understanding to increase consensus for mutual development.

Behavior Recognition of the Elderly in Indoor Environment Based on Feature Fusion of Wi-Fi Perception and Videos

With the intensifying aging of the population,the phenomenon of the elderly living alone is also increasing.Therefore,using modern internet of things technology to monitor the daily behavior of the elderly in indoors is a meaningful study.Video-based action recognition tasks are easily affected by object occlusion and weak ambient light,resulting in poor recognition performance.Therefore,this paper proposes an indoor human behavior recognition method based on wireless fidelity(Wi-Fi)perception and video feature fusion by utilizing the ability of Wi-Fi signals to carry environmental information during the propagation process.This paper uses the public WiFi-based activity recognition dataset(WIAR)containing Wi-Fi channel state information and essential action videos,and then extracts video feature vectors and Wi-Fi signal feature vectors in the datasets through the two-stream convolutional neural network and standard statistical algorithms,respectively.Then the two sets of feature vectors are fused,and finally,the action classification and recognition are performed by the support vector machine(SVM).The experiments in this paper contrast experiments between the two-stream network model and the methods in this paper under three different environments.And the accuracy of action recognition after adding Wi-Fi signal feature fusion is improved by 10%on average.

The Thought of the Oneness Between Man and Nature in Walden

From the view of the ecological theory, this paper tries to analyze that Thoreau uses Chinese traditional philosophical thought--- the oneness of man and nature to deal with the relationship of human beings and the nature in Walden.