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A method of visual management platform for connected vehicles data

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A method of visual management platform for connected vehicle...

International Conference on Connected Vehicles and Expo (ICCVE)

作者： Yunpeng Wang Yuzhou Li Daxin Tian Jian Wang Jiajie Wang School of Information Engineering Academy of Armored Forces Engineering Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Key Lab. of Urban ITS Technology Optimization and Integration Ministry of Public Security of China Hefei China

At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data. Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.

关键词： Data visualization Big data Vehicles Databases Connected vehicles Market research

Continuous use of ERP-based BCIs with different visual angles in ALS patients

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arXiv

arXiv 2017年

作者： Jin, Jing Allison, Brendan Z. Zhang, Yu Chen, Yan Zhou, Sijie Dong, Yi Wang, Xingyu Chchocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Department of Neurology Huashan hospital Fudan University Shanghai China Department of Cognitive Science University of California at San Diego San DiegoCA United States Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Japan Systems Research Institute PAS Warsaw Poland Torun Poland

Objective: Amyotrophic lateral sclerosis (ALS) is a rare disease, but is also one of the most common motor neuron diseases, and people of all races and ethnic backgrounds are affected. There is currently no cure. Brain computer interfaces (BCIs) can establish a communication channel directly between the brain and an external device by recognizing brain activities that reflect user intent. Therefore, this technology could help ALS patients in promoting functional independence through BCI-based speller systems and motor assistive devices. Methods: In this paper, two kinds of ERP-based speller systems were tested on 18 ALS patients to: (1) assess performance when they spelled 42 characters online continuously, without a break;and (2) to compare performance between a matrix-based speller paradigm (MS-P, mean visual angle 6◦) and a new speller paradigm that used a larger visual angle called the large visual angle speller paradigm (LS-P, mean visual angle 8◦). Results: Although results showed that there were no significant differences between the two paradigms in accuracy trend over continuous use (p>0.05), the fatigue during the LS-P condition was significantly lower than that of MS-P (p Copyright © 2017, The Authors. All rights reserved.

关键词： Brain computer interface

Boosting the Performance of Co-Doped Ceo2 Catalyst in the Catalytic Oxidation of Toluene by Modulating Oxygen Vacancies

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SSRN 2023年

作者： Liu, Jie Wang, Hua Zhang, Wanying Gao, Jiawu Yu, Qing Ke, Jun Wang, Lidong Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China School of Chemistry and Environmental Engineering Wuhan Institute of Technology Wuhan430205 China

Metal doping is one of the most effective strategies to enhance redox capacity and modulate the oxygen vacancies in Ce-based catalysts. This manuscript reports a Co-doped CeO2 catalyst (Co0.2Ce0.8 (W/E=1/1)) for the catalytic oxidation of toluene fabricated by a facile co-precipitation method. The appropriate ratio of deionized (DI) water/ethanol in the reaction solvent contributed to the mesocrystallization of the CeO2 phase and the highly uniform dispersion of the Co‒O‒Ce mixed bond in the catalyst. The feasible lattice distortion induced the generation of richer oxygen vacancies in both the surface and bulk of the catalyst. Meanwhile, the efficient cycle of Co2+ + Ce4+ ↔ Co3+ + Ce3+ enhanced the redox property of the catalyst. As revealed by in situ DRIFTS studies, the as-formed surface oxygen vacancies promoted the adsorption and partial oxidation of toluene. The oxygen vacancies in the bulk of the catalyst improved the migration of lattice oxygen, accelerating the mineralization of the aromatic ring. Thus, the excellent low-temperature oxidation of toluene by Co0.2Ce0.8 (W/E=1/1), reducing T90 to 192 °C, was attributed to the synergism between the catalyst’s surface and bulk oxygen vacancies. © 2023, The Authors. All rights reserved.

关键词： Toluene

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Quantum Go Machine

arXiv

arXiv 2020年

作者： Qiao, Lu-Feng Gao, Jun Jiao, Zhi-Qiang Zhang, Zhe-Yong Cao, Zhu Ren, Ruo-Jing Zhang, Chao-Ni Hu, Cheng-Qiu Xu, Xiao-Yun Tang, Hao Ma, Zhi-Hao Jin, Xian-Min School of Physics and Astronomy State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China CAS Center for Excellence Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mathematical Sciences Shanghai Jiao Tong University Shanghai200240 China

Go has long been considered as a testbed for artificial intelligence. By introducing certain quantum features, such as superposition and collapse of wavefunction, we experimentally demonstrate a quantum version of Go by using correlated photon pairs entangled in polarization degree of freedom. The total dimension of Hilbert space of the generated states grows exponentially as two players take turns to place the stones in time series. As nondeterministic and imperfect information games are more difficult to solve using nowadays technology, we excitedly find that the inherent randomness in quantum physics can bring the game nondeterministic trait, which does not exist in the classical counterpart. Some quantum resources, like coherence or entanglement, can also be encoded to represent the state of quantum stones. Adjusting the quantum resource may vary the average imperfect information (as comparison classical Go is a perfect information game) of a single game. We further verify its nondeterministic feature by showing the unpredictability of the time series data obtained from different classes of quantum state. Finally, by comparing quantum Go with a few typical games that are widely studied in artificial intelligence, we find that quantum Go can cover a wide range of game difficulties rather than a single point. Our results establish a paradigm of inventing new games with quantum-enabled difficulties by harnessing inherent quantum features and resources, and provide a versatile platform for the test of new algorithms to both classical and quantum machine learning. Copyright © 2020, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

Promoted Generation of Singlet Oxygen by Hollow-Shell Cos/G-C3n4 Catalyst for Sulfonamides Degradation: Pms Oxidation and Electron Transfer

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SSRN 2022年

作者： Fang, Zhimo Qi, Juanjuan Xu, Yongyi Liu, Yibo Qi, Tieyue Xing, Lei Dai, Qin Wang, Lidong MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China China Power Hua Chuang Electricity Technology Research Company Ltd Suzhou215123 China

Sulfanilamide (SM), as one representative drug of sulfonamides, was commonly used for the prevention and treatment of bacterial infectious diseases and were extremely difficult to remove. Herein, an efficient catalyst (CoS/CN) for SM degradation was constructed by CoS self-assembling on ultra-thin g-C3N4 nanosheets. The prepared hollow-shell CoS/CN catalyst could completely degrade SM within 10 min with a rate constant (1.959 min−1) through activation of peroxymonosulfate (PMS). Experiments and theoretical calculations illustrated that that S2- acted as an electron donor to promote the generation of Co(II). The addition of g-C3N4 made the CoS/CN composite had higher conductivity and electron transfer ability than CoS, which promoted the decomposition of PMS to produce reactive oxygen species (ROSs). Singlet oxygen (1O3) was proved as the primary ROSs, and SO4•− radicals were generated during the degradation process to improve the low mineralization rate of 1O2-dominated degradation process, which derived from the oxidation process of PMS and electron transfer of g-C3N4. The results revealed the synergistic effect of free radicals and non-free radicals during the oxidation and reduction of PMS, and provided theoretical support for the efficient degradation of refractory organics in wastewater. © 2022, The Authors. All rights reserved.

关键词： Sulfur compounds

A freeway travel time predicting method based on IoV

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A freeway travel time predicting method based on IoV

IEEE World Forum on Internet of Things (WF-IoT)

作者： Daxin Tian Chao Liu Yunpeng Wang Guohui Zhang Haiying Xia Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Ministry of Public Security of China Key Lab of Urban ITS Technology Optimization and Integration Hefei China Academy of Armored Forces Engineering School of Information Engineering Beijing China Research Institute of Highway Ministry Transport Beijing China

ISBN: (纸本)9781509003679

Real-time travel time is one of the important value for traffic management and traffic control. With the help of Internet of Vehicles (IOV), the dynamic traffic information can be collected and distributed more correctly. In this paper, we propose a method to predict the remaining travel time (RTT) for a vehicle on the freeway in the IOV environment. The Markov chains are adopted to predict a vehicle's remaining travel time in real-time. The experimental results prove that the mean absolute percent error (MAPE) is less than 10%.

关键词： Vehicles Traffic control Intelligent vehicles Markov processes Computational modeling Cloud computing

Zero-Valent Bimetallic Catalyst/Absorbent for Simultaneous Facilitation of Mgso3 Oxidation and Arsenic Uptake

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SSRN 2022年

作者： Liang, Zhengwei Qi, Tieyue Lui, Hui Wang, Lidong Li, Qiangwei Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China School of Foreign Languages North China Electric Power University Beijing102206 China

Cobalt-based catalyst can efficiently reduce the heat penalty of sulfate enrichment by enhancing sulfite oxidation in wet magnesia desulfurization. However, the coexistent arsenic will poison the catalyst, and migrate into the sulfate byproduct, resulting in severe secondary pollution. In this paper, we fabricated a Zero-Valent cobalt-iron-based nanoparticle (NZV-Co2Fe1) as a bifunctional catalyst-adsorbent. The catalytic stability of the cobalt-based catalyst was enhanced by the introduction of iron because the poisonous effect was substantially depressed by the high adsorption capacity of iron for arsenic. Compared with the non-catalytic benchmark, the presence of 0.5 g/L NZV-Co2Fe1 can increase the rate of MgSO3 oxidation by approximate 12-folders even at a high concentration of arsenic (2.5 mg/L). The Langmuir model was fitted for the adsorption of arsenic, indicating that the simultaneous uptake of arsenic is a single-layer adsorption process. Pseudo-second-order kinetic model demonstrates that arsenic was removed by chemisorption. The oxidation pathway of As(III) oxidation involves reactive radicals (mainly OH•, SO4-• and SO5-•) and ligand-to-metal charge transfer between SO32- and Co2+. The presence of MgSO3 improved the removal efficiency at high concentrations of As(III) (1 mg/L). The results provide a novel strategy for protecting the catalyst and purifying the byproduct for the FGD. © 2022, The Authors. All rights reserved.

关键词： Adsorption

Heterogeneous Changes of Chemical Compositions, Sources and Health Risks of Pm2.5 with the "Clean Heating" Policy at Urban/Suburban/Industrial Sites

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SSRN 2022年

作者： Zhiyong, Li Liu, Jixiang Zhai, Zhen Liu, Chen Ren, Zhuangzhuang Yue, Ziyuan Hu, Yao Zheng, Huang Kong, Shaofei Yang, Dingyuan Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China MOE Key Laboratory of Resources and Environmental Systems Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Department of Atmospheric Sciences School of Environmental Sciences China University of Geosciences Wuhan430074 China

"Clean Heating" policy implemented in north China. Its impact on PM2.5 constituents and sources in small-scale cities is still lacking. An intensive observation covering the heating period (HP) and pre-heating period (PHP) was conducted in the winter of 2017 at urban (UR), industrial (IS) and suburban (SUR) sites of Changzhi, one of the "2+26" cities. PM2.5 at UR and IS decreased by 15.2% and 4.6%, while increased by 9.8% at SUR in HP, indicating the heterogeneous response to the CH policies. The lowest contributions of coal combustion (21.3%) and industrial emissions (14.1%) to PM2.5 and associated SO42–(3.71%) at UR in HP implied that the CH played more effective role. However, the NO3–/SO42–ratio increased most by 26.8% at the UR site and the NO3– concentration was highest in HP, which should be related to the thermal-NOx emissions from natural gas (NG) burning in view of the NOx reduction from other sources. The highest concentrations of OC, SO42–, Cl– and K+, and the strongest correlations of Cl–-NH4+ (R2=0.75) and NO3–-SO42–(R2=0.97) verified the enhanced usage of biomass/coal for heating at SUR in HP. Biomass burning and coal combustion contributed highest to PM2.5 at SUR in HP, as 20.7% and 24.8%, respectively. Coal banning at IS and UR resulted in the decrease of OC, SO42–, As and Sb. The coal banning at IS and UR, the emission control on large-size enterprises including iron-steel and cement and the ignored control of the emission from small-size industries modified the mass concentrations and health risks of heavy metals. The lowest carcinogenic risks moved from SUR in PHP to UR in HP. The policies on de-NOx of NG-burning related enterprises, reduction of biomass/coal usage in suburban area, and strict regulation of small-size enterprises were need to further improve the air quality. © 2022, The Authors. All rights reserved.

关键词： Health risks

Impact of "Coal to Electricity" Policy on Air Quality During Heating Period Over Beijing−Tianjin−Hebei Region in China by Wrf-Chem Model

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SSRN 2022年

作者： Zhang, Ruting Chen, Chuanmin Liu, Songtao Wu, Huacheng Zhou, Weiqing Li, Peng Jia, Wenbo Cao, Yue Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control Department of Environmental Science and Engineering North China Electric Power University Baoding071003 China Jibei Electric Power Research Institute State Grid Jibei Electric Power Co. Ltd. North China Electric Power Research Institute Company Limited Beijing100045 China The Key Laboratory of Resources and Environmental Systems Optimization

To improve the quality of the atmospheric environment, the Chinese government has issued guidance on alternative energy and formulated a series of control measures such as "coal to electricity" policy, but impacts of the implementation of "coal to electricity" policy on air quality cannot be accurately quantified. In this study, by conducting basic scenario and emission reduction scenario simulation experiments, we find that the daily PM2.5 decreased by 0.2−5.6 μg/m3 due to the policy while the decreases in PM2.5 concentrations varied from 1−6% in Beijing, Tianjin, Baoding, Shijiazhuang during the heating period. During the heavy pollution process on December 15, 2018, the hourly average concentration of PM2.5 decreased by 1.02−7.53 μg/m3 in most Beijing−Tianjin−Hebei (BTH) region. The implementation of the policy has different degrees of reduction effects on BTH region under various air quality index (AQI) levels, and the policy also affected the AQI level in BTH region. In the heating period, the number of days that AQI level changes in the BTH region accounts for up to 13%. For other pollutants, the average reduction of PM10, CO, SO2 and NO2 concentration over BTH region in December 2018 ranged from 0.42−11.47, 0.01−0.77, 0.39−24.18, 0.76−2.91 μg/m3, respectively. Even if the "coal to electricity" policy replaced part of the residential sector of emission sources, it plays an important role in improving air quality over BTH region. We suggest that policies should be formulated and improved according to the actual situation to further complete energy transformation such as coal substitution. © 2022, The Authors. All rights reserved.

关键词： Coal