Recent Patents on Engineering最新文献

{"title":"Research Progress on Intelligent Control Heading Machine","authors":"Lei Yue, Wei Li, Yu Liu, QiuJiao Huang, Rui Zhang, Siyu Liu, Jintao Wang","doi":"10.2174/0118722121264482230921155302","DOIUrl":"https://doi.org/10.2174/0118722121264482230921155302","url":null,"abstract":"Background:: With the development of society, the demand for underground works, such as to control road traffic and enhance the development of mineral resources, is increasing. Simple human and mechanical resources can no longer meet people's needs. Therefore, the development of the heading machine has advanced the construction of underground engineering and the development of mineral resources, leading to a significant change in tunneling efficiency. However, the increase in the scale of engineering facilities, changes in geological conditions, the reduction in human resources, and other factors, accompanied by the arrival of the era of big data, have prompted the heading machine to become more and more efficient, advanced, and intelligent. Objective:: This article aimed to describe the classification, characteristics, and development of existing heading machines. It also takes into account the impact of changing engineering facilities, geological conditions, and limited human resources. The research and development direction of the equipment in intelligent perception, intelligent construction, and safety management is proposed. Methods:: In this study, the working principle and related patents of the heading machine have been summarized. The structural characteristics, differences, and application characteristics of the heading machines in different fields are introduced, and the limitations of previous methods have been analyzed. Results:: By analyzing and comparing the existing heading machines and summarizing their typical features, the main problems in the development of heading machines have been analyzed and the development trend of heading machines is predicted. Finally, the current research status and future development trends of heading machines and their patents are discussed. Conclusion:: The heading machines are divided into two types based on the operation object: tunnel boring machine and ordinary heading machine. Among these, the full-face heading machine is the most widely used, and heading machines with different working faces are the most typical among ordinary heading machines. Currently, the application of intelligence in heading machines has gained widespread traction both domestically and internationally. The future development direction of heading machines must focus on intelligence, ensuring safety and efficiency, lightweight design, and environmental sustainability.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134944945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The New Kernel-based Multiple Instances Learning Algorithm for Object Tracking","authors":"Hua Zhang, Lijia Wang","doi":"10.2174/0118722121236196230925114428","DOIUrl":"https://doi.org/10.2174/0118722121236196230925114428","url":null,"abstract":"Background:: Visual tracking is a crucial component of computer vision systems. Objective:: To deal with the problems of occlusion, pose variation, and illumination in long-time tracking, we propose a new kernel-based multiple instances learning tracker. objective: visual tracking Method:: The tracker captures five positive bags, including the occlusion bag, pose bag, illumination bag, scale bag, and object bag, to deal with the appearance changes of an object in a complex environment. A Gaussian kernel function is used to compute the inner product for selecting the powerful weak classifiers, which further improves the efficiency of the tracker. Moreover, the tracking situation is determined by using these five classifiers, and the correlating classifiers are updated. Results:: The experimental results show that the proposed algorithm is robust in terms of occlusion and various appearance changes. Conclusion:: The proposed algorithm preforms well in complex situations. conclusion: And it preforms well in complex situation.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Thermal Analysis in Engine Fin Design: Insights and Perspectives","authors":"Barbie Borthakur, Partha Protim Borthakur","doi":"10.2174/0118722121266385230926130027","DOIUrl":"https://doi.org/10.2174/0118722121266385230926130027","url":null,"abstract":"Objective: The study aims to address the significance of fins in enhancing the heat transfer rate of engine cylinders and highlight their applications and advancements in various fields. Methods: Thermal analysis of fins using ANSYS Workbench is an invaluable tool for engineers and researchers in determining and optimizing the heat transfer characteristics of finned structures. ANSYS Workbench provides a comprehensive platform for evaluating the performance of fins in various applications using simulations of computational fluid dynamics (CFD) and finite element analysis (FEA). With ANSYS Workbench, it is possible to assess the thermal behaviour of fins under a variety of conditions, such as variable boundary conditions and thermal loads. Some significant recent patents on Engine fin are also discussed in this review article. Results: Fins are designed to maximize contact with the surrounding air or coolant, thereby facilitating engine heat transfer to the surrounding environment. Engineers can enhance heat dissipation capabilities by considering parameters such as fin geometry, density, material selection, and manufacturing techniques while minimizing associated drawbacks. Conclusion: The numerous applications of fins highlighted in this review article will encourage researchers to find novel strategies to improve heat transfer by employing fins for use in a variety of sectors.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent Patents of Thermal Error Modeling and Thermal Error Prediction of CNC Machine Tool Spindle","authors":"Zhaolong Li, Benchao Sun","doi":"10.2174/0118722121241109230927035918","DOIUrl":"https://doi.org/10.2174/0118722121241109230927035918","url":null,"abstract":"Abstract: With the development of machine tools to high precision and high automation, thermal error has become the key reason to hinder the improvement of thermal stability of machine tools. The spindle electrothermal error is an important factor affecting the machining accuracy of highspeed CNC machine tools. The thermal error model of a high-speed motorized spindle is established to compensate the thermal error, which can effectively improve the influence of thermal error on the machining accuracy of machine tools. The thermal displacement during the operation of motorized spindle is the main reason that affects the machining stability and precision of motorized spindle. The thermal error compensation of CNC machine tool spindle can improve the machining efficiency, the machining quality of parts and the service life of CNC machine tools. This paper summarizes the representative patents and papers on thermal error modeling and thermal error prediction in China. By summarizing a large number of patents and papers on modeling, prediction and compensation of thermal error of spindle of CNC machine tools, the modeling method is analyzed and the development trend is discussed. The improvement of thermal error modeling method of CNC machine tool spindle has an important influence on improving machining accuracy, efficiency, and stability. Therefore, in the future, there will be more and more patents for thermal error modeling of CNC machine tools and spindles.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Critical Review on the Role of Mechanical Connection Technology in Precast Pipe Pile","authors":"liu yu, wang jintao, chong haoran, he yuheng, deng jian, ye jincheng, li xuezhi","doi":"10.2174/0118722121247271230920103717","DOIUrl":"https://doi.org/10.2174/0118722121247271230920103717","url":null,"abstract":"Background:: With an increase in urbanization, there is a persistent demand for prefabricated pipe pile connections, which play a crucial part in construction projects. In many engineering projects that use pipe piles, poor welding quality leads to problems like cracks, deformation, and detachment of pipe pile joints that affect the safety and stability of the project. Therefore, mechanical joints have gradually been applied in engineering projects, and exhibit a promising potential in connecting prefabricated pipe piles. Objective:: The objective of this study was to present a comprehensive description of the classification, structural characteristics, and application of mechanical connection devices for precast pipe piles in recent years. Methods:: In this study, we conducted a review of the patents related to precast pipe pile mechanical connection devices and presented the advantages of different joints. Further, we introduced the structural features, differences, and applications of precast pipe pile mechanical connection devices. Results:: This study analyzed and compared the different types of mechanical connection devices and summarized their typical characteristics, including connection form, connection quality, construction efficiency, and cost. The main problems existing in the development of precast pipe pile mechanical connection devices were assessed. Subsequently, the development trend of precast pipe pile mechanical connection devices was forecasted, and the research status and future development trend of precast pipe pile mechanical connection devices were discussed. Conclusion:: From the present study, it was found that the mechanical connection of the prefabricated pipe piles can be classified into two categories based on the joint connection range: end integral connection and steel bar connection. The end integral connection device has a large connection area, good connection solidity, and can withstand large loads, which is suitable for large bridges, tunnels, and other projects. However, for small and medium-sized engineering applications, the steel-type connection device is simple, easy to use, and has a wide range of applications that can be adapted to different geological conditions and load requirements. Currently, the application of prefabricated pipe pile mechanical connections is not widespread, both domestically and internationally. Thus, there is a need for future development in the prefabricated pipe pile mechanical connections in terms of material innovation, automation, intelligence, and sustainability.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135546210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Collective Diagnostic Prototypical in Internet of Medical Things for Depression Identification Using Deep Learning Algorithm","authors":"Bentham Science Publisher Bentham Science Publisher","doi":"10.2174/0118722121240855230926034148","DOIUrl":"https://doi.org/10.2174/0118722121240855230926034148","url":null,"abstract":"Background:: The majority of wearable technology is employed in the Internet of Medical Things (IoMT) health monitoring systems to recognize various bodily indicators. All monitored values are sent to a central server, where they are all treated by experts at the appropriate moment. Therefore, by expanding the use of wireless devices, it has been discovered that such communication technologies can recognize specific depression traits and mood swings. background: Background The majority of wearable technology is employed in Internet of Medical Things (IoMT) health monitoring systems to recognize various bodily indicators. All monitored values are sent to a central server, where they are all treated by experts at the appropriate moment. Therefore, by expanding the use of wireless devices, it has been discovered that such communication technologies can recognize specific depression traits and mood swings. Objectives:: The major objective of the proposed method is to analyze the disputes that arise in the characteristics of an individual by observing the leveling periods that are identified from the processed image. In addition, the rate of data transfer in case of any dispute is maximized therefore recognition problem is solved at a minimized distance. Further, the steady state probability values are achieved at low delay thus minimizing the dropout packets in the monitored system using IoMT and LSTM. objective: Objectives The main goal of the proposed effort is to develop an IoMT device that integrates long short-term memory in order to identify an individual's steady-state depression features (LSTM). A person's mood fluctuations can also be identified using four different parameters and their corresponding matrix representations. Methods:: A balanced record with four distinct parameters—such as livelihood, self-reliance, correlation, and precision—is employed with the projected model on IoMT for depression identification. As a result, high data transfer rates and low distance separation are used to process the identification framework. Additionally, by combining an original matrix representation with the input feature set using LSTM, a novel framework with great efficiency is created. method: Methods A balanced record with four distinct parameters—such as livelihood, self-reliance, correlation, and precision—is employed with the projected model on IoMT for depression identification. As a result, high data transfer rates and low distance separation are used to process the identification framework. Additionally, by combining an original matrix representation with the input feature set using LSTM, a novel framework with great efficiency is created. Results:: In order to assess the results of IoMT using LSTM, four situations are split apart and their probability ratios are calculated. The results of each situation are then contrasted with the current methodology, and it is found that when there is a low dropout ratio, depression in a person is quickly","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135547109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ICEEMDAN-based Combined Wind Power Forecasting","authors":"ZhenJun Wu, Yuan Dong, Ping He","doi":"10.2174/0118722121251451230925033743","DOIUrl":"https://doi.org/10.2174/0118722121251451230925033743","url":null,"abstract":"Background:: With the depletion of fossil energy and the increasingly serious environmental pollution, the task of developing renewable energy is imminent. As a green and pollutionfree renewable energy, the penetration of wind energy in the power grid continues to rise. Objective:: In order to reduce the volatility and randomness of wind power series and increase the accuracy of wind power prediction, a wind power combination model based on the ICEEMDAN (improved adaptive noise full set empirical mode decomposition) method is proposed. objective: In order to reduce the volatility and randomness of wind power series and increase the accuracy of wind power prediction, a wind power combination model based on ICEEMDAN (improved adaptive noise full set empirical mode decomposition) method is proposed Methodology:: First, the complex original wind power data have been decomposed into several relatively simple subsequences using the ICEEMDAN method. Aiming at the different lengths of coarse grain time series and data loss in traditional multi-scale entropy, a fine composite multiscale dispersion entropy is proposed to calculate the entropy value of each decomposition component, and divide the high- and low-frequency modal components to predict the modal components of different frequencies; secondly, differential moving autoregressive model (ARIMA) and shortterm memory neural network (LSTM) are used to establish the prediction models of high- and low-frequency components, respectively. Results:: Finally, the prediction results of each component have been superimposed and reconstructed to obtain the final prediction results. The effectiveness of the combined model is verified by the actual operation data of a European wind farm. result: The effectiveness of the combined model is verified by the actual operation data of a European wind farm. The results show that compared with the other four single and combined forecasting models, the combined model in this paper has higher forecasting accuracy. Conclusion:: As the effectiveness of the combined model is verified by the actual operation data of a European wind farm, the results have shown that compared to the other four single and combined forecasting models, the combined model in this paper has higher forecasting accuracy. Therefore, the model proposed in this article can be used for predicting wind power with significant fluctuations, which will help to provide support for optimized scheduling and energy storage configuration of wind farms, thereby reducing costs and increasing income for the power grid and wind farms. conclusion: ICEEMDAN decomposition algorithm can effectively reduce the influence of white noise on mode decomposition, and the prediction accuracy of wind power can be better improved by putting different frequency power components into different prediction models","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135647358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review of Research on Dynamic Characteristics of Rolling Bearing Cages","authors":"Chengyi Pan, Shuhao Li, Jingren Zhang","doi":"10.2174/0118722121270932230926034136","DOIUrl":"https://doi.org/10.2174/0118722121270932230926034136","url":null,"abstract":"Background:: Rolling bearings are beingwidely used in various applications because of their unique functions, but at the same time, bearing failures are becoming more and more prominent. Among them, the bearing failure caused by cage failure also accounted for 25% of the total proportion. With the progress of intelligent manufacturing and \"Industry 4.0\", the operating environment of rolling bearings is becoming increasingly complex and variable, and higher demands are made on the dynamic characteristics of cages. In this regard, the research on the nonlinear dynamics of the cell under different influencing factors can help to explain better the mechanism of dynamic, unstable motion of the cage under various influencing factors and solve the bearing life and reliability problems caused by uneven rolling bearing cage from the perspective of design and experimental research. Objective:: By summarizing the influencing factors of cage dynamics characteristics, the design of new structures, test methods, and testing devices of dynamics attributes in recent years, some valuable conclusions were obtained, and the future development direction of rolling bearing cage dynamics characteristics was proposed to provide a reference for researchers in related fields. Method:: This paper reviews the patents and documents related to the dynamic characteristics of rolling bearing cages, as well as analyzes the different influencing factors on the operational stability of the bearings, and introduces the improved design of cage structures, as well as the test methods and testing devices for the dynamic characteristics of cages. Results:: Through the analysis of relevant patents and papers on rolling bearing cage dynamics, the development status and problems of rolling bearing cage dynamics were discussed, future research on rolling bearing cage dynamics was prospected, and design ideas and research directions were proposed. Conclusion:: Through the discussion of the factors influencing the cage dynamics, the optimization of the rolling bearing cage structure design, and the study of test methods and testing devices, it was found that the research direction of the rolling bearing cage dynamics needs to be further expanded so that a better research method and testing devices could be researched, and a new structure with more stable operation and higher cage life and reliability could be designed.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135647361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research Progress on Pole-Climbing Robots: A Review","authors":"Dedong Tang, Wenzhuo Yu, Xin Lv, Gang Wang, Wenshuo Shen","doi":"10.2174/1872212118666230914104239","DOIUrl":"https://doi.org/10.2174/1872212118666230914104239","url":null,"abstract":"Background: Pole-climbing robots are a type of application robot commonly used for quality inspection, cleaning, and maintenance of utility poles, high voltage lines, bridge cables, transmission pipelines, and other important facilities with a certain height. The working conditions are often harsh and dangerous, making manual participation unsafe. The pole-climbing robot can provide a platform for maintenance and cleaning work. Remote control operation of the pole-climbing robot is achieved through communication and control technology. It has been created to improve efficiency and reduce personnel accidents greatly. At the same time, the continuous development of science and technology has led to the expansion of robot design concepts. It has also brought about great changes and growth in the development of pole-climbing robots. Objective: The purpose of this paper is to report the latest progress in the research of pole-climbing robots from bionic and non-bionic perspectives and to provide a research reference for researchers in this field. Method: By analyzing academic theses and published patents, this paper presents a new classification of pole-climbing robots from the perspective of bionic and non-bionic. By summarizing the literature, the structural characteristics of various pole-climbing robots and their differences and applications are summarized. Results: The performance of the pole-climbing robots is analyzed from the viewpoint of structural characteristics and action execution methods. In turn, the characteristics of various types of pole-climbing robots are summarized. Finally, based on the above discussion, the future problems and development directions of pole-climbing robots are predicted. Conclusion: The pole-climbing robots can be divided into two categories, bionic and non-bionic, based on the analysis of design features. Both bionic and non-bionic pole-climbing robots have good development and applications in their respective directions. Also, bionic and non-bionic pole-climbing robots have different detailed classifications based on material, structure, and other perspectives. They have different advantages and disadvantages in terms of the performance of pole-climbing action execution. It provides a research reference for future researchers in this field.","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135647364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geometric Feature of DNA Sequences","authors":"Hongjie Xu","doi":"10.2174/0118722121271190230928072933","DOIUrl":"https://doi.org/10.2174/0118722121271190230928072933","url":null,"abstract":"Background:: The primary goal of molecular phylogenetics is to characterize the similarity/ dissimilarity of DNA sequences. Existing sequence comparison methods with some patented are mostly alignment-based and remain computationally arduous. background: The primary goal of molecular phylogenetics is to characterize similarity/dissimilarity of DNA sequences. Existing sequence comparison methods are mostly alignment-based and remain computationally arduous. Objective:: In this study, we propose a novel alignment-free approach based on a previous DNA curve representation without degeneracy. Method:: The method combines two important geometric elements that describe the global and local features of the curve, respectively. It allows us to use a 24-dimensional vector called a characterization vector to numerically characterize a DNA sequence. We then measure the dissimilarity/ similarity of various DNA sequences by the Euclidean distances between their characterization vectors. Results:: we compare our approach with other existing algorithms on 4 data sets including COVID-19, and find that our apporach can produce consistent results and is faster than the alignment-based methods. Conclusion:: The method stated in this study, can assist in analyzing biological molecular sequences efficiently and will be helpful to molecular biologists. other: none","PeriodicalId":40022,"journal":{"name":"Recent Patents on Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135789231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}