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Generalized labeled multi-Bernoulli filter with signal features of unknown emitters Research Article

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1871-1880 doi: 10.1631/FITEE.2200286

Abstract:

A novel algorithm that combines the (GLMB) filter with signal features of the unknown emitter is proposedIn complex electromagnetic environments, emitter features (EFs) are often unknown and time-varying.

Keywords: Multi-target tracking     Generalized labeled multi-Bernoulli     Signal features of emitter     Fuzzy C-means    

Analysis of the double-layer α-Si:H emitter with different doping concentrations for α-Si:H/c-Si heterojunction

Haibin HUANG,Gangyu TIAN,Tao WANG,Chao GAO,Jiren YUAN,Zhihao YUE,Lang ZHOU

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 92-95 doi: 10.1007/s11708-016-0432-8

Abstract: Compared with the traditional single layer emitter, both the experiment and the simulation (AFORS-HET, http://www.paper.edu.cn/html/releasepaper/2014/04/282/) prove that the double-layer emitter increasesthe tunneling probability of the current transport and the decrease of the activation energy of the emitter

Keywords: double-layer emitter     α-Si:H/c-Si heterojunction solar cell     short circuit current     quantum efficiency     current-voltage-temperature    

POCl3 diffusion for industrial Si solar cell emitter formation

Hongzhao LI,Kyung KIM,Brett HALLAM,Bram HOEX,Stuart WENHAM,Malcolm ABBOTT

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 42-51 doi: 10.1007/s11708-016-0433-7

Abstract: POCl diffusion is currently the standard method for industrial n-type emitter fabrication.In this study, we present the impact of the following processing parameters on emitter formation andBy showing their influence on the emitter doping profile and recombination activity, we provide an overall

Keywords: POCl3 diffusion     emitter recombination     oxidation     silicon    

Pathogen evolution, prevention/control strategy and clinical features of COVID-19: experiences from China

Frontiers of Medicine doi: 10.1007/s11684-023-1043-5

Abstract: The overall clinical features of variants of concern (VOC), heterogeneity in the clinical manifestations

Keywords: coronavirus disease 2019     SARS-CoV-2     epidemiology     clinical features    

The role of geometrical features in the architectural-structural interaction: Some case studies of the

Maryam ZANDIYEHVAKILI, Isa HOJAT, Mehdi MAHMUDI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 716-724 doi: 10.1007/s11709-018-0508-0

Abstract: Having a qualitative approach, the present work discovers some successfully used geometrical features

Keywords: architectural-structural interaction     geometrical features     structure     architectural form     Iranian ancient    

Review on environmental policies in China: Evolvement, features, and evaluation

ZHANG Kunmin, WEN Zongguo, PENG Liying

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 2,   Pages 129-141 doi: 10.1007/s11783-008-0044-6

Abstract: industrialized countries to its own situation, China’s environmental policies have the following main features

High-emitter identification for heavy-duty vehicles by temporal optimization LSTMand an adaptive dynamic Research Article

Zhenyi XU, Renjun WANG, Yang CAO, Yu KANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1633-1646 doi: 10.1631/FITEE.2300005

Abstract: Heavy-duty diesel vehicles are important sources of urban nitrogen oxides (NO) in actual applications for environmental compliance, emitting more than 80% of NO and more than 90% of particulate matter (PM) in total vehicle emissions. The detection and control of heavy-duty diesel emissions are critical for protecting public health. Currently, vehicles on the road must be regularly tested, every six months or once a year, to filter out high-emission mobile sources at vehicle inspection stations. However, it is difficult to effectively screen high-emission vehicles in time with a long interval between annual inspections, and the fixed threshold cannot adapt to the dynamic changes of vehicle driving conditions. An is installed inside the vehicle and can record the vehicle’s emission data in real time. In this paper, we propose a long short-term memory (LSTM) and adaptive approach to identify heavy-duty high-emitters by using OBD data, which can continuously track and record the emission status in real time. First, a LSTM emission prediction model is established to solve the attention bias discrepancy problem on time steps that is caused by the large number of OBD data streams in practice. Then, the concentration prediction error sequence is detected and distinguished from the anomalous emission contexts using flexible criteria, calculated by an adaptive with changing driving conditions. Finally, a similarity metric strategy for the time series is introduced to correct some pseudo anomalous results. Experiments on three real OBD time-series emission datasets demonstrate that our method can achieve high accuracy anomalous emission identification.

Keywords: High-emitter identification     Temporal optimization     On-board diagnostic device (OBD)     Dynamic threshold    

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 2,

Abstract: plant species Arabidopsis has been characterized but the characteristics of electrical signalHere, the features of electrical signals elicited by insect herbivory and wounding in tomato were investigatedLeaflet wounding also activated electrical signal transduction and jasmonic acid (JA) signaling withinThis work reveals the nature of electrical signal transduction in tomato and emphasizes the key rolesof GLR3.3 and GLR3.5 in electrical signal transduction and JA signaling activation.

Keywords: electrical signal / glutamate receptor-like / herbivory / jasmonic acid / tomato    

On the Technical Features and Development Trend of Main Battle Tank

Wang Zherong

Strategic Study of CAE 2002, Volume 4, Issue 11,   Pages 7-11

Abstract:

As a complex weapon system integrated with optical/mechanical/hydraulic technology, main battle tank (MBT) has powerful fire, high mobility and integrated protection. This paper described the status of MBT in the war and its performance characteristics. On the basis of analysis of existing problems and development tendency of current MBT, the author put forward that in order to meet the operational requirements of the future high-technology war the next generation MBT should be low-profiled, light, digital and stealthy.

Keywords: MBT     technical features     development trend    

The clinicopathologic features of intraductal papillary mucinous neoplasms of the pancreas

QIN Xinyu, LIU Fenglin

Frontiers of Medicine 2007, Volume 1, Issue 2,   Pages 121-125 doi: 10.1007/s11684-007-0023-5

Abstract: Since first described in 1982, intraductal papillary mucinous neoplasm (IPMN) has been the preferred term to describe the proliferation of the pancreatic ductal epithelium. It is totally different from pancreatic carcinoma in epi demiology, histology, pathology and prognosis. According to the site of involvement, IPMNs are classified into three categories, i.e. main duct type, branch duct type, and combined type. Most branch duct IPMNs are benign, whereas the other two types are often malignant. A large branch duct IPMN and marked dilation of the main pancreatic duct indicate the presence of adenoma at least. The additional existence of large mural nodules increases the possibility of malignancy in all types. The prognosis is more favorable after complete resection of benign and non-invasive malignant IPMNs. Malignant IPMNs that become more aggressive after parenchymal invasion necessitate adequate lymph node dissection. On the other hand, asymptomatic branch duct IPMNs without mural nodules can be observed without the need for resection for a considerable period of time. Our review addresses available data, current understanding, controversy, and future directions about IPMNs.

Keywords: available     additional existence     necessitate     intraductal papillary     non-invasive    

Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 744-758 doi: 10.1631/FITEE.1400376

Abstract: In this paper, we propose a new symbolic representation method for long time series based on trend featuresUnlike some previous symbolic methods, it focuses on retaining most of the trend features and patterns

Keywords: Long time series     Segmentation     Trend features     Symbolic     Knowledge discovery    

Acoustic fault signal extraction via the line-defect phononic crystals

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1,   Pages 10-10 doi: 10.1007/s11465-021-0666-y

Abstract: Rotating machine fault signal extraction becomes increasingly important in practical engineering applicationsHowever, fault signals with low signal-to-noise ratios (SNRs) are difficult to extract, especially atline-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slit are proposed for weak signalThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigated

Keywords: phononic crystals     line-defect     fault signal extraction     acoustic enhancement    

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 64-68

Abstract: The method, in which mccltiple similar signals are superposed, can not only decrease the noise in the signal

Keywords: vibrating wave     reflection wave     signal enhancement     software for superposition signal    

The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Frontiers of Medicine 2011, Volume 5, Issue 1,   Pages 70-76 doi: 10.1007/s11684-011-0119-9

Abstract: could regulate distinct aspects of neural signal transduction and suggest that the coordinated actionssignal pathway in the developing brain.

Keywords: signal transduction     neurogenic disease    

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3,   Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords: thermostats     perceptions     beliefs     signal detection theory (SDT)     fuzzy signal detection theory (FSDT)     chi-square    

Title Author Date Type Operation

Generalized labeled multi-Bernoulli filter with signal features of unknown emitters

Qiang GUO, Long TENG, Xinliang WU, Wenming SONG, Dayu HUANG

Journal Article

Analysis of the double-layer α-Si:H emitter with different doping concentrations for α-Si:H/c-Si heterojunction

Haibin HUANG,Gangyu TIAN,Tao WANG,Chao GAO,Jiren YUAN,Zhihao YUE,Lang ZHOU

Journal Article

POCl3 diffusion for industrial Si solar cell emitter formation

Hongzhao LI,Kyung KIM,Brett HALLAM,Bram HOEX,Stuart WENHAM,Malcolm ABBOTT

Journal Article

Pathogen evolution, prevention/control strategy and clinical features of COVID-19: experiences from China

Journal Article

The role of geometrical features in the architectural-structural interaction: Some case studies of the

Maryam ZANDIYEHVAKILI, Isa HOJAT, Mehdi MAHMUDI

Journal Article

Review on environmental policies in China: Evolvement, features, and evaluation

ZHANG Kunmin, WEN Zongguo, PENG Liying

Journal Article

High-emitter identification for heavy-duty vehicles by temporal optimization LSTMand an adaptive dynamic

Zhenyi XU, Renjun WANG, Yang CAO, Yu KANG

Journal Article

CHARACTERISTICS OF HERBIVORY/WOUND-ELICITED ELECTRICAL SIGNAL TRANSDUCTION IN TOMATO

Journal Article

On the Technical Features and Development Trend of Main Battle Tank

Wang Zherong

Journal Article

The clinicopathologic features of intraductal papillary mucinous neoplasms of the pancreas

QIN Xinyu, LIU Fenglin

Journal Article

Symbolic representation based on trend features for knowledge discovery in long time series

Hong YIN,Shu-qiang YANG,Xiao-qian ZHU,Shao-dong MA,Lu-min ZHANG

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

A Realization to Enhance the Signal Noise Ratio With Superposition on the Same Phase Signal

Han Xiuting,Wang Jiechun,Jiao Zhenqaing,Gao Fei,Song Yubo

Journal Article

The role of protein kinase C epsilon in neural signal transduction and neurogenic diseases

Yuan CHEN, Qi TIAN

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article