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Book ; Online: Advanced Sensing and Control for Connected and Automated Vehicles

Huang, Chao / Du, Haiping / Zhao, Wanzhong / Zhao, Yifan / Yan, Fuwu / Lv, Chen

2022

Keywords	Technology: general issues ; History of engineering & technology ; TROOP ; truck platooning ; path planning ; kalman filter ; V2V communication ; string stability ; off-tracking ; articulated cargo trucks ; kabsch algorithm ; potential field ; sigmoid curve ; autonomous vehicles ; connected and autonomous vehicles ; artificial neural networks ; end-to-end learning ; multi-task learning ; urban vehicle platooning ; simulation ; attention ; executive control ; simulated driving ; task-cuing experiment ; electroencephalogram ; fronto-parietal network ; object vehicle estimation ; radar accuracy ; data-driven ; radar latency ; weighted interpolation ; autonomous vehicle ; urban platooning ; vehicle-to-vehicle communication ; in-vehicle network ; analytic hierarchy architecture ; traffic scenes ; object detection ; multi-scale channel attention ; attention feature fusion ; collision warning system ; ultra-wideband ; dead reckoning ; time to collision ; vehicle dynamic parameters ; Unscented Kalman Filter ; multiple-model ; electric vehicle ; unified chassis control ; unsprung mass ; autonomous driving ; trajectory tracking ; real-time control ; model predictive control ; tyre blow-out ; yaw stability ; roll stability ; vehicle dynamics model ; n/a
Language	0\|e
Size	1 electronic resource (284 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English ; Open Access
HBZ-ID	HT021608761
ISBN	9783036534886 ; 3036534881
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Transformation of Business Analytics from Business Intelligence

Zhao Yifan

E3S Web of Conferences, Vol 253, p

2021 Volume 03013

Abstract: With the development of economy, numerous techniques, tools, and concepts have appeared to fit the intensive and competitive market. Especially for some enterprises in retail industry, they face the problem of digital transformation, which requires ... ...

Abstract	With the development of economy, numerous techniques, tools, and concepts have appeared to fit the intensive and competitive market. Especially for some enterprises in retail industry, they face the problem of digital transformation, which requires advanced organizational strategies, business analytics technology, dynamic capabilities, value-creating actions to help solve the problem. This paper analyzes the real cases of digital transformation in some Chinese enterprises to show how business intelligence gradually developed into business analysis and how it creates value to the business. Real experience of the author and the research resources of her internship in a consulting company are also shared. Enterprises often use SAP, ERP, IaaS, SaaS, PaaS to build the cloud services and infrastructure of data ware, which are the products of business analytics. The author analyzes how business analytics help enterprises use effective and intelligent analysis on the data and business to improve the performance of the enterprises, which can make the enterprises become competitive and outstanding. In addition, the difference between business intelligence and business analytics, and how the value business analytics creates to the enterprises in theoretical and practical way are introduced. Finally, the author finds the significant of data and analytical tools to the present and future development in different industries, and predicts the general trend that might happen in the future. People can also realize the impact that data brings to their daily life.
Keywords	Environmental sciences ; GE1-350
Subject code	650
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Structural Health Monitoring Applications in Tall Buildings

Zhao Yifan

E3S Web of Conferences, Vol 198, p

2020 Volume 02020

Abstract: Since there is not much research on structural health monitoring (SHM) applications in tall buildings nowadays, this paper gives a proposal of how it can be applied on skyscrapers. Covering the whole process of SHM, this paper focuses more on the ... ...

Abstract	Since there is not much research on structural health monitoring (SHM) applications in tall buildings nowadays, this paper gives a proposal of how it can be applied on skyscrapers. Covering the whole process of SHM, this paper focuses more on the diagnostic algorithms, including Structural dynamic index method, Modal parameter identification method Neural network algorithm and Genetic algorithm and how these algorithms can be used in SHM. After introducing the basic process of SHM, an example is given to show how these principles can be applied in this over 400m building. And after all these introductions, a conclusion can be drawn that the structural health monitoring system can be applied properly in tall buildings following the way proposed in this paper.
Keywords	Environmental sciences ; GE1-350
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Ecosystem-based management approaches for watershed conservation and geosustainability.

Liu, Junjun / Zhao, Yifan / Chen, Xi / Akarsha, Sunila

Heliyon

2024 Volume 10, Issue 9, Page(s) e29800

Abstract: When contributors' goals and legislative and political structures vary, as they often do in the case of worldwide fish populations, it becomes more challenging to implement ethical fishing tactics. Canada, the United States, and Mexico all fish from ... ...

Abstract	When contributors' goals and legislative and political structures vary, as they often do in the case of worldwide fish populations, it becomes more challenging to implement ethical fishing tactics. Canada, the United States, and Mexico all fish from Pacific regions anchovies in the California Modern. Climate-driven numbers and geographic dynamics may pollute the waters of collaborative aquaculture and lead to overloading. This research expands upon prior works using a game theoretic model of Tran's boundary sardine fisheries in different climatic conditions to account for ecological links. More significant economic advantages accrue from cooperation fishing tactics that consider the mackerel's role as feed for other species in the natural system, as opposed to plans that merely take note of the worth of mackerel harvests to a particular fishing nation. The maximum environmental benefit is obtained at a fishery rate for sardines barely less than the sardine Fishery Management Safe Yield. Ecological-based control of fisheries can increase sustainability and profits, but only if investors and policy makers consider the ecology in business-applicable models. Understanding and adapting to the fast alterations in habitat distributions due to climate change and designing ways to achieve viable and lucrative fishery amidst altering environments will necessitate an increased emphasis on ecosystem-based governance.
Language	English
Publishing date	2024-04-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e29800
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Utility of marking and fusion image-guided technique with cone-beam CT in kidney ruptured haemorrhage without extravascular leakage in angiography: a pilot study.

Wang, Zi-Xuan / Li, Lin / Zhao, Yi-Fan

The British journal of radiology

2024 Volume 97, Issue 1154, Page(s) 386–391

Abstract: Objective: To explore the feasibility of using marking and fusion image-guided technique with cone-beam CT (CBCT) in cases of kidney ruptured haemorrhage without extravascular leakage in digital subtraction angiography (DSA) images.: Methods: This is ...

Abstract	Objective: To explore the feasibility of using marking and fusion image-guided technique with cone-beam CT (CBCT) in cases of kidney ruptured haemorrhage without extravascular leakage in digital subtraction angiography (DSA) images. Methods: This is a retrospective case-control study that included 43 patients who underwent transcatheter arterial embolization for kidney ruptured haemorrhage and difficult haemostasis. The patients were divided into two groups: the CBCT group (cases without extravascular leakage observed in angiography) and the control group (cases with clearly identifiable target vessels in angiography). The baseline characteristics and clinical outcomes were collected and analysed. Results: The results showed no statistically significant differences in the duration of the procedure and intraoperative blood transfusion between the control and CBCT groups (P > .05). The study clarified that the CBCT group had a significantly higher rate of improvement of gross haematuria compared to the control group (P < .05). The CBCT group showed a greater increase in haemoglobin and a lesser increase in creatinine. The clinical success rates were 87.5% in the control group and 90.9% in the CBCT group (P > .05). Conclusions: The marking and fusion image-guided technique is useful in cases of kidney ruptured haemorrhage without extravascular leakage of contrast agent. The technique is safe, feasible, and effective, and we believe it is superior to purely DSA-guidance. Advances in knowledge: The use of the marking and fusion image-guided technique is recommended to overcome the challenge of undetectable target vessels during interventional procedures. This technique is considered as non-inferior to purely DSA-guided interventional procedures where the target vessels are clearly identifiable.
MeSH term(s)	Humans ; Pilot Projects ; Retrospective Studies ; Case-Control Studies ; Angiography, Digital Subtraction/methods ; Kidney ; Hemorrhage/diagnostic imaging ; Cone-Beam Computed Tomography/methods
Language	English
Publishing date	2024-01-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2982-8
ISSN	1748-880X ; 0007-1285
ISSN (online)	1748-880X
ISSN	0007-1285
DOI	10.1093/bjr/tqad060
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Article ; Online: Fast analysis of straw proximates based on partial least squares using near-infrared spectroscopy.

Zhao, Yifan / Zhu, Yingying / Li, Chaoran / Chen, Geng / Yao, Yan

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy

2024 Volume 309, Page(s) 123855

Abstract: Near-infrared spectroscopy (NIRS) is a rapid measurement technique based on the spectroscopic absorption bands of specific functional groups within biomass. Its main advantages include simple preparation, precise analysis, and the ability to analyze ... ...

Abstract	Near-infrared spectroscopy (NIRS) is a rapid measurement technique based on the spectroscopic absorption bands of specific functional groups within biomass. Its main advantages include simple preparation, precise analysis, and the ability to analyze multiple components simultaneously. Fast analysis of straw proximates (moisture, ash, and fixed carbon) has been investigated by means of NIRS. A total of 144 samples were collected, the spectral data were analyzed by partial least squares (PLS) regression and support vector regression (SVR) with four wavelength selection methods. PLS combined with competitive adaptive reweighted sampling (CARS) provided excellent predictive performance for moisture, ash, and fixed carbon. For moisture prediction, the values of R
Language	English
Publishing date	2024-01-09
Publishing country	England
Document type	Journal Article
ZDB-ID	210413-1
ISSN	1873-3557 ; 0370-8322 ; 0584-8539 ; 1386-1425
ISSN (online)	1873-3557
ISSN	0370-8322 ; 0584-8539 ; 1386-1425
DOI	10.1016/j.saa.2024.123855
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Interventional radiology. A survey of staff, imaging equipment and procedures.

Wang, Zi-Xuan / Li, Lin / Zhao, Yi-Fan

Annali italiani di chirurgia

2023 Volume 94, Page(s) 188–194

Abstract: Aim: To explore the current situation and problems of interventional radiology (IR) staff, imaging equipment and procedures in hospitals.: Methods: An electronic questionnaire was sent to 186 officially registered secondary and tertiary hospitals ... ...

Abstract	Aim: To explore the current situation and problems of interventional radiology (IR) staff, imaging equipment and procedures in hospitals. Methods: An electronic questionnaire was sent to 186 officially registered secondary and tertiary hospitals through a dedicated network for medical administration in a city in China. Data collection efforts ceased two weeks after the questionnaire was sent out. Results: The response rate was 100%. IR procedures were provided in 22 hospitals (11.8%). 50.0% were 2A level hospitals. 95.5% began to perform IR procedures in the last three decades. The IR workload of 3A level hospitals was significantly heavier than that in 3B or 2 level hospitals (1139.20±699.32 vs. 95.60±45.48, 1139.20±699.32 vs. 85.17±61.15; P<0.001). There were more senior interventional radiologists than juniors (43 vs. 41), and insufficient radiographers (radiographer-equipment ratio 0.91 ± 0.54). Thirteen hospitals (59.1%) had set up independent IR departments, and several clinical departments provided IR service at the same time in ten hospitals. Conclusions: The IR specialty of 3A hospitals had obvious advantages in staff, imaging equipment, and procedure volume over other hospitals. It should be noted that there were fewer junior interventional radiologists and the number of radiographers was inadequate. Further attract the talents to the IR field is important in future. Key words: Interventional radiology, Imaging equipment, Survey, Staff, Workload.
MeSH term(s)	Humans ; Radiology, Interventional/methods ; Surveys and Questionnaires ; Hospitals ; Workload
Language	English
Publishing date	2023-05-18
Publishing country	Italy
Document type	Journal Article
ZDB-ID	418927-9
ISSN	2239-253X ; 0003-469X
ISSN (online)	2239-253X
ISSN	0003-469X
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Physical fitness and motor competence performance characteristics of Chinese elite youth athletes from four track and field throwing disciplines-a cross-sectional study.

Zhao, Kewei / Siener, Maximilian / Zhao, Yifan / Hohmann, Andreas

Frontiers in physiology

2023 Volume 14, Page(s) 1267804

Abstract: Purpose: ...

Abstract	Purpose:
Language	English
Publishing date	2023-12-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564217-0
ISSN	1664-042X
ISSN	1664-042X
DOI	10.3389/fphys.2023.1267804
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning.

Zhao, Yifan / Zhang, Tong / Li, Jia / Tian, Yonghong

IEEE transactions on pattern analysis and machine intelligence

2023 Volume 45, Issue 10, Page(s) 11720–11732

Abstract: Few-shot learning aims to recognize novel queries with limited support samples by learning from base knowledge. Recent progress in this setting assumes that the base knowledge and novel query samples are distributed in the same domains, which are usually ...

Abstract	Few-shot learning aims to recognize novel queries with limited support samples by learning from base knowledge. Recent progress in this setting assumes that the base knowledge and novel query samples are distributed in the same domains, which are usually infeasible for realistic applications. Toward this issue, we propose to address the cross-domain few-shot learning problem where only extremely few samples are available in target domains. Under this realistic setting, we focus on the fast adaptation capability of meta-learners by proposing an effective dual adaptive representation alignment approach. In our approach, a prototypical feature alignment is first proposed to recalibrate support instances as prototypes and reproject these prototypes with a differentiable closed-form solution. Therefore feature spaces of learned knowledge can be adaptively transformed to query spaces by the cross-instance and cross-prototype relations. Besides the feature alignment, we further present a normalized distribution alignment module, which exploits prior statistics of query samples for solving the covariant shifts among the support and query samples. With these two modules, a progressive meta-learning framework is constructed to perform the fast adaptation with extremely few-shot samples while maintaining its generalization capabilities. Experimental evidence demonstrates our approach achieves new state-of-the-art results on 4 CDFSL benchmarks and 4 fine-grained cross-domain benchmarks.
Language	English
Publishing date	2023-09-05
Publishing country	United States
Document type	Journal Article
ISSN	1939-3539
ISSN (online)	1939-3539
DOI	10.1109/TPAMI.2023.3272697
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Fault Detection Approach Based on One-Sided Domain Adaptation and Generative Adversarial Networks for Railway Door Systems.

Shimizu, Minoru / Zhao, Yifan / Avdelidis, Nicolas P

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 24

Abstract: Fault detection using the domain adaptation technique is one of the more promising methods of solving the domain shift problem, and has therefore been intensively investigated in recent years. However, the domain adaptation method still has elements of ... ...

Abstract	Fault detection using the domain adaptation technique is one of the more promising methods of solving the domain shift problem, and has therefore been intensively investigated in recent years. However, the domain adaptation method still has elements of impracticality: firstly, domain-specific decision boundaries are not taken into consideration, which often results in poor performance near the class boundary; and secondly, information on the source domain needs to be exploited with priority over information on the target domain, as the source domain can provide a rich dataset. Thus, the real-world implementations of this approach are still scarce. In order to address these issues, a novel fault detection approach based on one-sided domain adaptation for real-world railway door systems is proposed. An anomaly detector created using label-rich source domain data is used to generate distinctive source latent features, and the target domain features are then aligned toward the source latent features in a one-sided way. The performance and sensitivity analyses show that the proposed method is more accurate than alternative methods, with an F1 score of 97.9%, and is the most robust against variation in the input features. The proposed method also bridges the gap between theoretical domain adaptation research and tangible industrial applications. Furthermore, the proposed approach can be applied to conventional railway components and various electro-mechanical actuators. This is because the motor current signals used in this study are primarily obtained from the controller or motor drive, which eliminates the need for extra sensors.
Language	English
Publishing date	2023-12-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23249688
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