Evaluating the Impact of Integrating a Security Module on the Real-Time Properties of a System

This paper proposes a method of assigning trips to automated taxis (ATs) and designing the routes of those vehicles in an urban road network, and also considering the traffic congestion caused by this dynamic responsive service. The system is envisioned to provide a seamless door-to-door service within a city area for all passenger origins and destinations. An integer programming model is proposed to define the routing of the vehicles according to a profit maximization function, depending on the dynamic travel times, which varies with the ATs’ flow. This will be especially important when the number of automated vehicles (AVs) circulating on the roads is high enough that their routing will cause delays. This system should be able to serve not only the reserved travel requests, but also some real-time requests. A rolling horizon scheme is used to divide one day into several periods in which both the real-time and the booked demand will be considered together. The model was applied to the real size case study city of Delft, the Netherlands. The results allow assessing of the impact of the ATs movements on traffic congestion and the profitability of the system. From this case-study, it is possible to conclude that taking into account the effect of the vehicle flows on travel time leads to changes in the system profit, the satisfied percentage and the driving distance of the vehicles, which highlights the importance of this type of model in the assessment of the operational effects of ATs in the future.

Download Full-text

Impact of Vibrations and Electronic Coherence on Electron Transfer in Flat Molecular Wires

MRS Advances ◽

10.1557/adv.2017.157 ◽

2017 ◽

Vol 2 (14) ◽

pp. 811-816 ◽

Cited By ~ 1

Author(s):

Oscar Grånäs ◽

Grigory Kolesov ◽

Efthimios Kaxiras

Keyword(s):

Electron Transfer ◽

Excited State ◽

Real Time ◽

Density Functional ◽

Molecular Wires ◽

The Real ◽

Velocity Autocorrelation ◽

Td Dft ◽

Electronic Coherence ◽

The Impact

ABSTRACTElectron transfer in molecular wires are of fundamental importance for a range of optoelectronic applications. The impact of electronic coherence and ionic vibrations on transmittance are of great importance to determine the mechanisms, and subsequently the type of wires that are most promising for applications. In this work, we use the real-time formulation of time-dependent density functional theory to study electron transfer through oligo-p-phenylenevinylene (OPV) and the recently synthesized carbon bridged counterpart (COPV). A system prototypical of organic photovoltaics is setup by bridging a porphyrin-fullerene dyad, allowing a photo-excited electron to flow between the Zn-porphyrin (ZnP) chromophore and the C60 electron acceptor through the molecular wire. The excited state is described using the fully self-consistent ∆-SCF method. The state is then propagated in time using the real-time TD-DFT scheme, while describing ionic vibrations with classical nuclei. The charge transferred between porphyrin and C60 is calculated and correlated with the velocity autocorrelation functions of the ions. This provides a microscopic insight to vibrational and tunneling contributions to electron transport in linked porphyrin-fullerene dyads. We elaborate on important details in describing the excited state and trajectory sampling.

Download Full-text

Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction

Energies ◽

10.3390/en11082124 ◽

2018 ◽

Vol 11 (8) ◽

pp. 2124 ◽

Cited By ~ 6

Author(s):

Li Han ◽

Rongchang Zhang ◽

Xuesong Wang ◽

Yu Dong

Keyword(s):

Power System ◽

Real Time ◽

Wind Power ◽

Power Unit ◽

Time Scale ◽

Forecast Error ◽

Thermal Power ◽

Time Error ◽

The Real ◽

The Impact

This paper looks at the ability to cope with the uncertainty of wind power and reduce the impact of wind power forecast error (WPFE) on the operation and dispatch of power system. Therefore, several factors which are related to WPFE will be studied. By statistical analysis of the historical data, an indicator of real-time error based on these factors is obtained to estimate WPFE. Based on the real-time estimation of WPFE, a multi-time scale rolling dispatch model for wind/storage power system is established. In the real-time error compensation section of this model, the previous dispatch plan of thermal power unit is revised according to the estimation of WPFE. As the regulating capacity of thermal power unit within a short time period is limited, the estimation of WPFE is further compensated by using battery energy storage system. This can not only decrease the risk caused by the wind power uncertainty and lessen wind spillage, but also reduce the total cost. Thereby providing a new method to describe and model wind power uncertainty, and providing economic, safe and energy-saving dispatch plan for power system. The analysis in case study verifies the effectiveness of the proposed model.

Download Full-text

A Fast Estimation Method for Satellite in Orbit Management

MATEC Web of Conferences ◽

10.1051/matecconf/202031604007 ◽

2020 ◽

Vol 316 ◽

pp. 04007

Author(s):

Zhen Cui ◽

Ye Ji ◽

Bin Chen ◽

Yang Yang

Keyword(s):

Real Time ◽

Satellite Telemetry ◽

Estimation Method ◽

Decisive Role ◽

Telemetry Data ◽

The Real ◽

Fast Estimation ◽

Fault Handling ◽

Rapid Processing ◽

The Impact

The management of satellites in orbit requires accurate and rapid processing to minimize the impact of failures. Especially for fault handling involving energy security, the real-time nature of the process plays a decisive role. This paper proposes a fast estimation method based on satellite telemetry data. Through the analysis of the shape of the telemetry curve, the geometric method, the correlation analysis of the telemetry data on the satellite, or the physical principles, the required parameters are quickly obtained to facilitate rapid emergency processing. This method is applied to satellite in-orbit management, which can greatly improve the real-time performance of fault processing, and has good engineering practical value.

Download Full-text

The Calculation of TTR in PROFIBUS System

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.482-484.2183 ◽

2012 ◽

Vol 482-484 ◽

pp. 2183-2187 ◽

Cited By ~ 1

Author(s):

Li Ping Zhen ◽

Shao Wei Si ◽

Huan Qing Xie

Keyword(s):

Real Time ◽

Data Exchange ◽

Selection Method ◽

Time Behavior ◽

The Real ◽

Transmission Errors ◽

Random Behavior ◽

Token Passing ◽

Master Station ◽

The Impact

In PROFIBUS system, we analyzed the time behavior of data exchange and token-passing, and give the TTR selection method, when each master station holding enough token time. And then we discussed the random characteristics of networks and FDL, give the formula of random behavior to calculate time, and get the TTR and the revised value of TTR in PROFIBUS system which has FDL and MS1 communication. Finally, further discussed the case of transmission errors, analyzed the impact of transmission errors to TTR and the real-time of system, and give the TTR and the revised value in this situation.

Download Full-text

A two-layer model to dispatch electric vehicles and wind power

MATEC Web of Conferences ◽

10.1051/matecconf/202030905015 ◽

2020 ◽

Vol 309 ◽

pp. 05015

Author(s):

Song Gao ◽

Linyu Wang ◽

Lei Guo ◽

Zhifeng Qiu ◽

Yueshuang Bao

Keyword(s):

Real Time ◽

Wind Power ◽

Markov Decision Process ◽

Power Output ◽

Decision Process ◽

Distribution Network ◽

The Real ◽

Markov Decision ◽

The Impact ◽

Ev Charging

In this paper, the optimal charging and discharging schedules of electric vehicle (EV) are studied considering wind power under the condition of distribution network. In view of the uncertainty of EV charging-discharging demand and wind power output, the Markov decision process is adopted to model the randomness of supply and demand. Considering the dimensional disaster caused by dispatching a large number of EVs’ charging and discharging behavior in a centralized way, this paper proposes the two-layer dispatching model based on Markov decision process. First, the lower EV agents are responsible for collecting the real-time charging-discharging demands for EV and report to the upper dispatching center. Then the upper dispatching center gives the optimal charging and discharging power according to the real-time distribution operating status, wind power output and the EV information reported by each EV agent. Last, the lower agent gives the optimal charging-discharging sequence of each EV according to the upper optimal power. The goal of the upper dispatching center considers the power losses in the distribution network, load variance and the matching degree between EV charging-discharging and wind power output. The goal of the lower EV agent considers the EV charging-discharging fees and costs by EV battery losses. When deciding the optimal charging strategy, we design the two-layer Rollout algorithm to decide the optimal charging-discharging strategy considering the impact on future strategy decisions by current strategy decisions. Finally, the optimal results under four different strategies are simulated on the IEEE 30-bus distribution network system. The simulation results show that the proposed model and strategy can effectively reduce the distribution network losses and load variance, and greatly improve the utilization rate of wind power. Compared to the cost of uncoordinated EV charging, EV charging-discharging fees and battery loss costs by the proposed strategy have been greatly reduced.

Download Full-text

Real-Time Suppression Research of Shaft-Rate Electric Field Based on the Compensated Negative Potential

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.527.197 ◽

2014 ◽

Vol 527 ◽

pp. 197-200

Author(s):

Hai Peng Zhang ◽

Xin Gang Chen ◽

Chen Yang Ao ◽

Zhong Peng Sun

Keyword(s):

Electric Field ◽

Real Time ◽

Loop System ◽

Negative Potential ◽

Close Loop System ◽

The Real ◽

Suppression Technique ◽

The Impact

To reduce the impact of shaft-rate electric field (SRE) on the concealment of the ship, the ship SRE real-time suppression is proposed based on the compensated negative potential and the real-time close-loop system for the ship SRE suppression is designed and realized£¬which greatly promoted the development of ship SRE suppression technique.

Download Full-text

Photogrammetric Deformation Monitoring of the Second Bosphorus Bridge in Istanbul

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-5-71-2014 ◽

2014 ◽

Vol XL-5 ◽

pp. 71-76 ◽

Cited By ~ 3

Author(s):

Ö. Avsar ◽

D. Akca ◽

O. Altan

Keyword(s):

Real Time ◽

Dynamic Load ◽

Deformation Monitoring ◽

Bridge Structure ◽

Bridge Inspection ◽

The Real ◽

Structural Deformations ◽

The Impact

Improving the efficiency of bridge inspection and minimizing the impact of dynamic load on the long term deterioration of the bridge structure reduces maintenance and upkeep costs whilst also improving bridge longevity and safety. This paper presents the results of an on-going project whose ultimate goal is the real-time photogrammetric monitoring the structural deformations of the second Bosphorus Bridge of Istanbul.

Download Full-text

Evaluating the Real-Time Impact of COVID-19 on Cities: China as a Case Study

Complexity ◽

10.1155/2020/8855521 ◽

2020 ◽

Vol 2020 ◽

pp. 1-11

Author(s):

Haimeng Liu ◽

Chuanglin Fang ◽

Qian Gao

Keyword(s):

Real Time ◽

Human Mobility ◽

Population Movements ◽

The Real ◽

Public Health Emergencies ◽

Deterioration Rate ◽

Socioeconomic System ◽

Highly Correlated ◽

Temporal Dimensions ◽

The Impact

Since the beginning of 2020, the COVID-19 epidemic has dramatically influenced the human socioeconomic system. If we conceive of the city as a complex organism with a metabolism, then the daily ﬂows of people, materials, and information into and out of a city can be regarded as its metabolism. To evaluate the real-time impact of COVID-19 on a city’s economy and society, we construct a health index of cities (HIC) using human mobility big data from Baidu and analyze the temporal and spatial changes of the HIC in China. The results show that both internal and intercity population movements have been significantly affected by the COVID-19 epidemic, and the decline in both was more than 50% at some points. The intercity movement is more affected than the intracity movement, and the impact is more sustained. Compared with the same period before the outbreak, the HIC in China decreased by 28.6% from January 20 to April 21, 2020. The deterioration rate of the HIC was faster than the growth rate of COVID-19 cases, but the improvement in the HIC was much slower than the decline in COVID-19 cases. Although the HIC is highly correlated with COVID-19 in both the spatial and temporal dimensions, the effect of the epidemic on the HIC varied across regions. The HIC fell more significantly in provincial capitals, such as Beijing, Shanghai, Guangzhou, and Zhengzhou, and in urban agglomerations, and these cities’ HICs were lower with a longer-lasting reduction. This study can serve as a frame of reference for studying the real-time impact of the epidemic, helping cities’ policymakers to quickly assess its socioeconomic impact. By extension, this index can be applied to other countries and other public health emergencies.

Download Full-text

Health Care System Decentralization Via Uberization, Concepts and Expected Efficiency Outcomes

10.21203/rs.3.rs-1108636/v1 ◽

2021 ◽

Author(s):

Armen Muradyan ◽

Hakop Aganyan ◽

Suren Manukyan ◽

Vagarshak Pilossyan ◽

Leon K. Kiraj ◽

...

Keyword(s):

Health Care ◽

Decision Making ◽

Real Time ◽

Healthcare Provider ◽

Health Care System ◽

Medical Doctor ◽

The Real ◽

The Impact ◽

Vital Parameters ◽

Care System

Abstract Background:According to statistical studies, about 3.6 million Americans miss medical appointments each year because of difficulties with transportation to a healthcare facility, and the impact of missed primary care appointments is estimated at billions of dollars annually. The access of the patient to necessary services is restricted and the role and functions of a medical doctor as responsible key decision maker is significantly diminished. Key responsibilities are still on the shoulders of the medical doctor, but decision-making power is shifted to middleman administrative bodies. This split between the responsibilities and decision-making bodies is destructive for the service of medicine. The aim of this study is to create a new management model in the health care system.Methods: To develop a new model of management in the health care system, we conducted a blind survey among 1,700 patients. To optimize the health care system, a decentralization health careservice method is proposed via uberization.Results: The method may continue with providing the request to a responding healthcare provider and receiving a response from the responding healthcare provider. The method may continue with establishing a bidirectional communication between the patient and the responding healthcare provider in real-time and receiving a plan of actions to treat the patient from the responding healthcare provider. The method may continue with receiving, from the diagnostic and laboratory service, the real-time vital parameters of the patient and making the real-time vital parameters available to the patient and the responding healthcare provider in an electronic medical record database.Conclusion: On the basis of our developed model of decentralization of the healthcare system via uberization, the implementation of the proposed model will increase the efficiency and availability of medical services.

Download Full-text