2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)最新文献

{"title":"Takeover Performance and Workload under Varying Automation Levels, Time Budget and Road Curvature","authors":"Chengliang Xu, Penghui Li, Yibing Li, N. Merat, Ziwang Lu, Xing Guo","doi":"10.1109/IPEC54454.2022.9777353","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777353","url":null,"abstract":"In SAE Level 2 (L2) and Level 3 (L3) automated driving, drivers are required to take over control from automation when reaching system boundaries. The length of time budget is the vital parameter that needs to be determined to ensure a safe takeover manner. Existing literature on this issue rarely considers potential interactions between time budget and other factors, and a variable time budget seemed to be paradoxical in critical unplanned transitions. To this end, this study investigated drivers’ takeover performance and workload under varying automation levels, time budget and road curvature. We employed the operational design domain (ODD) exiting event as the transition scenario where the ego car was about to leave the highway. Results showed that drivers in L3 takeovers performed worse and elicited higher workload than L2 when entering a curved ramp with a limited time budget. Takeovers when entering a curved ramp yielded worse performance and higher workload, as compared to entering a straight ramp. Such detrimental effects caused by loss of situation awareness (SA) and change of road curvature can be mitigated by increasing the length of time budget. All these findings suggest that even in simplified ODD exiting scenarios, the length of time budget should vary according to the state of the driver and the environment.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"50 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120856075","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":"AIS-based ship information acquisition and trajectory control system","authors":"Huang Yu","doi":"10.1109/IPEC54454.2022.9777393","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777393","url":null,"abstract":"With the popularity of IOT technology, the technology of traditional industry is slowly subject to the limitations of the times. Especially in the field of information acquisition and trajectory control of ships, its excessive reliance on manual a priori experience such as captains and sailors greatly increases the demand for talents in the ship industry. In this paper, we propose and design an AIS-based ship information acquisition and trajectory control system. With the data support of AIS system, we complete the information acquisition and analysis positioning of ship operation system by converting coordinate system design, combine with least squares algorithm to complete the final trajectory seeking control, and build an integrated information acquisition and ship control system. It further improves the information acquisition rate and control transmission rate of the ship, and improves the navigation efficiency and capability of the ship.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125053259","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 Cloud Radiation Forcing Prediction Based on Textural Feature Extraction from Cloud Image","authors":"Xiao Cao, Feng Li, Ruoying Yu","doi":"10.1109/ipec54454.2022.9777489","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777489","url":null,"abstract":"The intermittency and instability of the solar energy resource brings great challenge to the accurate forecasting of the surface solar irradiation. In this work, based on texture characteristics analysis of sky image collected by TSI combined with SVM model, a new methods for the forecasting of cloud radiative forcing was presented. First, the texture characteristics related to solar irradiation were extracted from sky images through image processing technologies, including contrast, entropy, grayscale and energy; Then regression model was built between image characteristics and irradiation reduction coefficient; Finally, the SVM model was used to forecasting cloud radiation forcing. The experiment results indicated that: the forecasting accuracy of the method based on texture characteristics tends to provide better a performance than traditional forecasting method and forecasting method based on cloud block movement prediction. It can provide important reference for the accurate forecasting of surface solar irradiation on complex climate conditions.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387556","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":"Prediction of Urban Rail Road Network Scale on Account of Genetic Algorithm","authors":"Donghua Long","doi":"10.1109/IPEC54454.2022.9777389","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777389","url":null,"abstract":"In the context of the continuous popularity of the Internet model, the field of algorithms is also making great strides. Traditional statistics and calculation methods are often used to calculate the volume of urban rail(UR) road network, but today, under the condition of rapid growth of network demand, the traditional methods have been very inefficient and far from meeting the current statistical methods. Then, in view of this practical problem, the prediction on account of algorithm is often used. Using the method on account of algorithm to predict the volume of UR road network shows that it is very efficient, which is the sure result of the development of modern network society. We must attach great importance to the research of algorithm. This paper studies the related problems of UR road network scale on account of genetic algorithm, introduces the definition, tenet and related contents on account of genetic algorithm, explains the related problems and knowledge of UR road network, and demonstrates the UR road network scale on account of genetic algorithm, From the perspective of data demonstration, this paper makes an effective method to predict the volume of UR road network. On account of genetic algorithm, this paper uses relevant means to test the prediction problem. The results show that it has achieved good results. The efficiency of fault tolerance, effectiveness, convergence and accuracy of UR road network scale prediction reaches 87.12%, 91.03%, 94.03% and 98.03% respectively.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129693974","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 Blockchain-based Platform of Housing Provident Fund Asset-backed Securitization","authors":"Zhijun Xie, Jiawen Wang, Xiaoxia Hong, Zhenjun Ma, Keting Yin","doi":"10.1109/ipec54454.2022.9777497","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777497","url":null,"abstract":"This paper proposes a platform of housing provident fund asset-backed securitization based on blockchain to solve existing problems caused by opacity and barrier of data. Firstly, we introduce the system architecture consisting of four parts corresponding to different functions. Secondly, the specific program is illustrated in different modules during the whole life cycle of housing provident fund asset-backed securitization. Lastly, a real pilot project in Chongqing is introduced to prove the feasibility and benefit of the platform design. This platform realizes both the efficiency and data transparency under the premise of security with the help of blockchain technology.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706588","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":"An Image Denoising and Enhancement Approach for Dynamic Low-light Environment","authors":"Jikun Wang, Weixiang Liang, Xianbo Wang, Zhi-xin Yang","doi":"10.1109/ipec54454.2022.9777630","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777630","url":null,"abstract":"Image enhancement technology can greatly improve the visual recognition accuracy of robots in low-light environments. In the past few years, there have been several effective low light enhancement algorithms. However, a supervised deep-learning algorithm requires paired data, which is difficult to collect in dynamic scenes. Meanwhile, there are problems of color distortion and noise amplification in the enhanced image. In this paper, we train an effective image denoise and enhancement model. Furthermore, our method only uses low-light images as training data without ground truth to solve the difficulty of data collection. Extensive experiments on a variety of benchmarks have demonstrated that proposed model is qualitatively and quantitatively better than state-of-the-art methods.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"156 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128747622","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 Trusted Energy Data Sharing System Based on Blockchain","authors":"Yongdi Bao, Meiwei Hao, Chi Zhang, Dandan Yang, Jiaxin Fu, Jinbo Zhang","doi":"10.1109/ipec54454.2022.9777322","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777322","url":null,"abstract":"Sharing the statistic results of energy data on the blockchain has huge practical significance. However, the ability to store and analysis large data set is limited by the throughput of the blockchain. Introducing a data center as a third party to do the statistical task brings new issues of trust. In this paper, we put forward three different solutions to guarantee on-chain statistic availability, according to different scenarios. All our solution has on-chain time complexity sublinear to the number of pieces of data, which supports large size data set. Data availability are guaranteed by cryptographic techniques with high security level.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130092910","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":"Human-computer interaction-based robotic design and development and control system testing —Prototyping and implementation testing study of a robotic hand","authors":"Jiayi Cai, Jialiang Cai","doi":"10.1109/IPEC54454.2022.9777584","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777584","url":null,"abstract":"One of the most challenging issues in the development of existing robotic hand design and development based on existing policies and in everyday people’s needs for interactive technologies that can assist patients who have lost hand manipulation due to neurological or stroke induced. This paper focuses on robotic hand designs aimed at assisting post-stroke patients with enhanced human-computer interaction, including four innovative research direction areas. a) Aesthetically, the four-piece human-computer interaction-based robotic hand design (i.e., internal mechanics, five elastic bands, electrodes, and soft skin-friendly material) looks more like sports equipment than a wearable machine. b) Inspired by human palm design engineering, the The human-computer assisted manipulator is an innovative form of mixing soft and hard components and materials, constructed from layers closest to the body made of soft, stretchable fabrics (i.e., neoprene and fly stitch fabric). 3D printed flexible TPU components, which use BOA dials to increase or decrease finger tension. c) For added strength, the product is worn on the palm of the hand, and then tightening the wrist strap prevents unwanted movement This is an innovative patent and is integrated into the glove. This is innovative and patented and the BOA dial integrated in the glove is attached to five elastic bands, one for each finger, which are secured in place by a channel placed on the TPU piece. This makes it lighter in weight. d) Intelligent. By being equipped with sensors, it can be intelligently sensed internally to properly release tension with promoting blood circulation in the wearer’s hand, they push the BOA dial in and rotate it to increase tension, and to release tension, the user simply pulls the BOA dial upward. This will help the muscles relax and restore normal fluid movement. The data can be viewed in the accompanying app. After researching and investigating the existing human-machine interaction based robotic hand mostly made of steel, the sensor cannot sense the material of the object well after wearing, temperature, and the set finger bending angle cannot fit the object well. Through experimental data to test the best working area and experimental daily use force, we study and adjust the best for the human-machine interaction-based robotic three-dimensional work treatment area. This is one of the most innovative solutions with the future of the industry, this research focuses on the process of human-computer interaction for the patient’s hand is also required for a large number of interaction resources also with human resources. The development of a more skin-friendly, safer, and less expensive human-computer interaction-based manipulator (HES) that can operate by itself is sufficient to support all daily living activities (ADLs) of the hand. Finally, the physical field study experiments also showed that the device is flexible and can be customized by anyone for the right size and use.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129130895","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 on the Symbiosis Mode of Large-scale Sports Events Based on Computer Internet Technology and Intelligent Information Systems","authors":"Changchun Lu","doi":"10.1109/IPEC54454.2022.9777321","DOIUrl":"https://doi.org/10.1109/IPEC54454.2022.9777321","url":null,"abstract":"This article is based on computer Internet technology and uses symbiosis theory to analyze how to better reciprocate symbiosis and interdependence between sports events and cities. At the same time, the article analyzes the requirements of designing a general community sports management framework based on .NET component technology from the perspective of large-scale urban sports events, thereby optimizing the design and design of a general sports event management information system, and analyzes the benefits of the system framework in practical applications. The research results show that a general sports event management information system is implemented based on the .NET component design, and the positive design value is exerted. Compared with the traditional sports event management information system, the general sports event management information system designed by the framework technology has an application benefit of 18.0%.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131089458","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":"Trajectory Tracking Control of Unmanned Vehicle Based on Data-driven Optimization","authors":"Yu Huang, Chao Wei, Yulong Sun","doi":"10.1109/ipec54454.2022.9777522","DOIUrl":"https://doi.org/10.1109/ipec54454.2022.9777522","url":null,"abstract":"Since the traditional Model Predictive Control(MPC), which is widely used for trajectory tracking of autonomous vehicle, cannot analyze and determine specific parameters of the controller by mathematical methods. In this paper, a trajectory tracking control method based on model prediction is proposed to solve the problem of unmanned vehicle trajectory tracking, and the controller is optimized in a performance objective driven way. Specifically, the cost function of the model predictive controller is parameterized. And the global optimal performance in a specific scenario as the goal to build the global performance cost function. Then, the global performance cost is expressed as a Gaussian process, and new parameters of the next optimization are inferred by Bayesian optimization. The controller parameters of global performance optimization are found with a small learning cost through multiple iterations to improve tracking performance. To verify the effectiveness of this data-driven optimization algorithm, lane-changing experiments with Carsim and Matlab/Simulink are carried out. According to the test data, it is proved that the performance of trajectory tracking under this data-driven MPC algorithm is optimized.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128764521","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}