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Synthesis of Bi-planar Vertical Guidance and Control for Cruise Missile

Sun Mingwei,Liu Li,Yang Ming

Strategic Study of CAE 2007, Volume 9, Issue 9,   Pages 52-57

Abstract: air-to-surface attack requirement,  specified impact angle guidance law is presented based on lineof sight (LOS) information framework.

Keywords: cruise missile     line of sight (LOS)     constrained guidance     integrated guidance and control    

Machine learning based altitude-dependent empirical LoS probability model for air-to-ground communications Research Article

Minghui PANG, Qiuming ZHU, Zhipeng LIN, Fei BAI, Yue TIAN, Zhuo LI, Xiaomin CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1378-1389 doi: 10.1631/FITEE.2200041

Abstract: Line-of-sight (LoS) probability prediction is critical to the performance optimization of wireless communicationHowever, it is challenging to predict the LoS probability of air-to-ground (A2G) communication scenariosThis paper presents an altitude-dependent empirical LoS probability model for A2G scenarios.and non-LoS (NLoS) paths.Our model can also provide wider applicable altitudes than other LoS probability models, and thus can

Keywords: Line-of-sight probability model     Air-to-ground channel     Machine learning     Ray tracing    

The Post Occupancy Evaluation for the Auditorium of Shanghai Grand Theater

Li Daozeng,Xu Jin

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 15-21

Abstract: briefly introducing the design intentions of the auditorium in terms of technological aspect, such as sight-line

Keywords: auditorium     sight-line design     noise level control     acoustic design     the removable sound canopy     the alternative    

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Frontiers in Energy 2022, Volume 16, Issue 2,   Pages 277-291 doi: 10.1007/s11708-021-0731-6

Abstract: An integrated and systematic database of sooting tendency with more than 190 kinds of fuels was obtained through a series of experimental investigations. The laser-induced incandescence (LII) method was used to acquire the 2D distribution of soot volume fraction, and an apparatus-independent yield sooting index (YSI) was experimentally obtained. Based on the database, a novel predicting model of YSI values for surrogate fuels was proposed with the application of a machine learning method, named the Bayesian multiple kernel learning (BMKL) model. A high correlation coefficient (0.986) between measured YSIs and predicted values with the BMKL model was obtained, indicating that the BMKL model had a reliable and accurate predictive capacity for YSI values of surrogate fuels. The BMKL model provides an accurate and low-cost approach to assess surrogate performances of diesel, jet fuel, and biodiesel in terms of sooting tendency. Particularly, this model is one of the first attempts to predict the sooting tendencies of surrogate fuels that concurrently contain hydrocarbon and oxygenated components and shows a satisfying matching level. During surrogate formulation, the BMKL model can be used to shrink the surrogate candidate list in terms of sooting tendency and ensure the optimal surrogate has a satisfying matching level of soot behaviors. Due to the high accuracy and resolution of YSI prediction, the BMKL model is also capable of providing distinguishing information of sooting tendency for surrogate design.

Keywords: sooting tendency     yield sooting index     Bayesian multiple kernel learning     surrogate assessment     surrogate formulation    

Air quality improvement in Los Angeles—Perspectives for developing cities

David D. Parrish,Jin Xu,Bart Croes,Min Shao

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 5, doi: 10.1007/s11783-016-0859-5

Abstract: Air quality improvement in Los Angeles can inform air quality policies in developing cities.Air quality issues in Beijing are briefly compared and contrasted with Los Angeles.Air quality improvement in Los Angeles, California is reviewed with an emphasis on aspects that may informIn the mid-twentieth century the air quality in Los Angeles was degraded to an extent comparable to theThe air quality issues of Beijing are briefly compared and contrasted with those of Los Angeles, and

Keywords: Air pollution     Ozone     Particulate matter     Control technology    

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: In this paper, 2D line-defect phononic crystals (PCs) consisting of periodic acrylic tubes with slitThe defect band, namely, the formed resonance band of line-defect PCs enables the incident acoustic waveThe effectiveness of weak harmonic and periodic impulse signal detection via line-defect PCs are investigatedAll the numerical and experimental results indicate that line-defect PCs can be well used for extracting

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

Calculations of narrow-band transimissities and the Planck mean absorption coefficients of real gases using line-by-line

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 41-48 doi: 10.1007/s11708-013-0292-4

Abstract: the band parameters of Soufiani and Taine, the more recent parameters of André and Vaillon, and the line-by-line

Keywords: transimissity     HITEMP     HITRAN     Planck mean absorption coefficients    

Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 3,   Pages 257-264 doi: 10.1007/s11465-014-0294-x

Abstract: application of the proposed method on a simple problem of multi objective optimization of simple assembly line

Keywords: Pareto     lexicographic α-robust     assembly line balancing    

Choosing configurations of transmission line tower grounding by back flashover probability value

Dmitry KUKLIN

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 213-226 doi: 10.1007/s11708-016-0398-6

Abstract: However, in application to grounding of transmission line towers they are not enough to determine what

Keywords: grounding     transmission line tower     back flashover probability     FDTD method    

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamic lubrication

Jian LIU,Yuxue CHEN,Zhenzhi HE,Shunian YANG

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 2,   Pages 156-167 doi: 10.1007/s11465-014-0297-7

Abstract:

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamicTwo kinds of numerical results of transient EHL line contact problems under sinusoidal excitation or

Keywords: elastohydrodynamic lubrication     transient     line contact     matrix splitting iteration method     the Thomas method    

FUNCTIONAL GAIN OF FRUIT NETTED-CRACKING IN AN INTROGRESSION LINE OF TOMATO WITH HIGHER EXPRESSION OF

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

Abstract: , we have found a novel fruit ‘netted-cracking’ (FNC) phenotype in tomato introgression line

Keywords: fine mapping / fruit netted-cracking / introgression line / transcript level    

Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO

Antonia de los Santos López, Jesús Álvarez-Flórez

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 1, doi: 10.1007/s11783-020-1296-z

Abstract: Abstract • New method named CAbOP is presented based on ordering data according to power. • Three emission models are used and their emission results compared. • Emissions data are analyzed in real driving cycles under CAbOP criteria. • Methodology to collect data and reconstruct lost data in real urban driving cycles. In this work three fuel consumption and exhaust emission models, ADVISOR, VT-MICRO and the European Environmental Agency Emission factors, have been used to obtain fuel consumption (FC) and exhaust emissions. These models have been used at micro-scale, using the two signal treatment methods presented. The manuscript presents: 1) a methodology to collect data in real urban driving cycles, 2) an estimation of FC and tailpipe emissions using some available models in literature, and 3) a novel analysis of the results based on delivered wheel power. The results include Fuel Consumption (FC), CO2, NOx and PM10 emissions, which are derived from the three simulators. In the first part of the paper we present a new procedure for incomplete drive cycle data treatment, which is necessary for real drive cycle acquisition in high density cities. Then the models are used to obtain second by second FC and exhaust emissions. Finally, a new methodology named Cycle Analysis by Ordered Power (CAbOP) is presented and used to compare the results. This method consists in the re-ordering of time dependant data, considering the wheel mechanical power domain instead of the standard time domain. This new strategy allows the 5 situations in drive cycles to be clearly visualized: hard breaking zone, slowdowns, idle or stop zone, sustained speed zone and acceleration zone. The complete methodology is applied in two real drive cycles surveyed in Barcelona (Spain) and the results are compared with a standardized WLTC urban cycle.

Keywords: Cycle Analysis by Ordered Power (CAbOP)     Micro and macro models     Real drive cycle     NOx/PM10/CO2 emissions     Wheel mechanical power domain     Worldwide Harmonized Light-Duty Vehicles Test Cycle (WLTC)    

A novel light fluctuation spectrum method for in-line particle sizing

Shouxuan QIN, Xiaoshu CAI, Li MA

Frontiers in Energy 2012, Volume 6, Issue 1,   Pages 89-97 doi: 10.1007/s11708-012-0176-z

Abstract: This paper discusses two problems in in-line particle sizing when using light fluctuation method.

Keywords: in-line measurement     particle size distribution (PSD)     incident light intensity     particle concentration    

A naive optimization method for multi-line systems with alternative machines

Weichang KONG, Fei QIAO, Qidi WU

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4,   Pages 377-392 doi: 10.1007/s11465-019-0544-z

Abstract: The scheduling of parallel machines and the optimization of multi-line systems are two hotspots in theConsequently, optimization of multi-line systems with alternative machines requires a simple mechanismTo define a general multi-line system with alternative machines, this study introduces the capabilitystudies are performed on a real 5/6-inch semiconductor wafer manufacturing facility and a simulated multi-line

Keywords: multi-line systems     alternative machines     feedback control     closed-loop optimization    

Establishment and drug sensitivity evaluation of murine ascites hepatocarcinoma cell line with high lymphatic

Hongying ZHANG, Jianwu TANG, Wenting ZHU, Chunxiu HU, Guowang XU

Frontiers of Medicine 2009, Volume 3, Issue 2,   Pages 119-129 doi: 10.1007/s11684-009-0022-9

Abstract: In order to provide a sensitive cell line model for investigating the mechanisms underlying the lymphaticmetastasis of tumors and the effect of medicine against cells, a new murine ascites hepatocarcinoma cell linewith low lymphatic metastatic potential (Hca-P) was subcutaneously inoculated into the medioventral lineHca-P/L is a novel sensitive cell line model for investigating the mechanisms underlying tumor lymphatic

Keywords: murine ascites hepatocarcinoma cell line     metastasis     curcumin     drug sensitivity    

Title Author Date Type Operation

Synthesis of Bi-planar Vertical Guidance and Control for Cruise Missile

Sun Mingwei,Liu Li,Yang Ming

Journal Article

Machine learning based altitude-dependent empirical LoS probability model for air-to-ground communications

Minghui PANG, Qiuming ZHU, Zhipeng LIN, Fei BAI, Yue TIAN, Zhuo LI, Xiaomin CHEN

Journal Article

The Post Occupancy Evaluation for the Auditorium of Shanghai Grand Theater

Li Daozeng,Xu Jin

Journal Article

An assessment of surrogate fuel using Bayesian multiple kernel learning model in sight of sooting tendency

Journal Article

Air quality improvement in Los Angeles—Perspectives for developing cities

David D. Parrish,Jin Xu,Bart Croes,Min Shao

Journal Article

Acoustic fault signal extraction via the line-defect phononic crystals

Journal Article

Calculations of narrow-band transimissities and the Planck mean absorption coefficients of real gases using line-by-line

Huaqiang CHU, Mingyan GU, Huaichun ZHOU, Fengshan LIU

Journal Article

Pareto lexicographic α-robust approach and its application in robust multi objective assembly line balancing

Ullah SAIF,Zailin GUAN,Baoxi WANG,Jahanzeb MIRZA

Journal Article

Choosing configurations of transmission line tower grounding by back flashover probability value

Dmitry KUKLIN

Journal Article

A fast compound direct iterative algorithm for solving transient line contact elastohydrodynamic lubrication

Jian LIU,Yuxue CHEN,Zhenzhi HE,Shunian YANG

Journal Article

FUNCTIONAL GAIN OF FRUIT NETTED-CRACKING IN AN INTROGRESSION LINE OF TOMATO WITH HIGHER EXPRESSION OF

Journal Article

Real drive cycles analysis by ordered power methodology applied to fuel consumption, CO

Antonia de los Santos López, Jesús Álvarez-Flórez

Journal Article

A novel light fluctuation spectrum method for in-line particle sizing

Shouxuan QIN, Xiaoshu CAI, Li MA

Journal Article

A naive optimization method for multi-line systems with alternative machines

Weichang KONG, Fei QIAO, Qidi WU

Journal Article

Establishment and drug sensitivity evaluation of murine ascites hepatocarcinoma cell line with high lymphatic

Hongying ZHANG, Jianwu TANG, Wenting ZHU, Chunxiu HU, Guowang XU

Journal Article