Models to Simulate Effective Coverage of Fire Station Based on Real-Time Travel Times

In recent years,frequent fire disasters have led to enormous damage in China.Effective firefighting rescues can minimize the losses caused by fires.During the rescue processes,the travel time of fire trucks can be severely affected by traffic conditions,changing the effective coverage of fire stations.However,it is still challenging to determine the effective coverage of fire stations considering dynamic traffic conditions.This paper addresses this issue by combining the traveling time calculationmodelwith the effective coverage simulationmodel.In addition,it proposes a new index of total effective coverage area(TECA)based on the time-weighted average of the effective coverage area(ECA)to evaluate the urban fire services.It also selects China as the case study to validate the feasibility of the models,a fire station(FS-JX)in Changsha.FS-JX station and its surrounding 9,117 fire risk points are selected as the fire service supply and demand points,respectively.A total of 196 simulation scenarios throughout a consecutiveweek are analyzed.Eventually,1,933,815 sets of valid sample data are obtained.The results showed that the TECA of FS-JX is 3.27 km^(2),which is far below the standard requirement of 7.00 km^(2) due to the traffic conditions.The visualization results showed that three rivers around FS-JX interrupt the continuity of its effective coverage.The proposed method can provide data support to optimize the locations of fire stations by accurately and dynamically determining the effective coverage of fire stations.

A CNN-Based Single-Stage Occlusion Real-Time Target Detection Method

Aiming at the problem of low accuracy of traditional target detection methods for target detection in endoscopes in substation environments, a CNN-based real-time detection method for masked targets is proposed. The method adopts the overall design of backbone network, detection network and algorithmic parameter optimisation method, completes the model training on the self-constructed occlusion target dataset, and adopts the multi-scale perception method for target detection. The HNM algorithm is used to screen positive and negative samples during the training process, and the NMS algorithm is used to post-process the prediction results during the detection process to improve the detection efficiency. After experimental validation, the obtained model has the multi-class average predicted value (mAP) of the dataset. It has general advantages over traditional target detection methods. The detection time of a single target on FDDB dataset is 39 ms, which can meet the need of real-time target detection. In addition, the project team has successfully deployed the method into substations and put it into use in many places in Beijing, which is important for achieving the anomaly of occlusion target detection.

Dynamic constraint and objective generation approach for real-time train rescheduling model under human-computer interaction

Real-time train rescheduling plays a vital role in railway transportation as it is crucial for maintaining punctuality and reliability in rail operations.In this paper,we propose a rescheduling model that incorporates constraints and objectives generated through human-computer interaction.This approach ensures that the model is aligned with practical requirements and daily operational tasks while facilitating iterative train rescheduling.The dispatcher’s empirical knowledge is integrated into the train rescheduling process using a human-computer interaction framework.We introduce six interfaces to dynamically construct constraints and objectives that capture human intentions.By summarizing rescheduling rules,we devise a rule-based conflict detection-resolution heuristic algorithm to effectively solve the formulated model.A series of numerical experiments are presented,demonstrating strong performance across the entire system.Furthermore,theflexibility of rescheduling is enhanced through secondary analysis-driven solutions derived from the outcomes of humancomputer interactions in the previous step.This proposed interaction method complements existing literature on rescheduling methods involving human-computer interactions.It serves as a tool to aid dispatchers in identifying more feasible solutions in accordance with their empirical rescheduling strategies.

Adaptive Resource Planning for AI Workloads with Variable Real-Time Tasks

AI(Artificial Intelligence)workloads are proliferating in modernreal-time systems.As the tasks of AI workloads fluctuate over time,resourceplanning policies used for traditional fixed real-time tasks should be reexamined.In particular,it is difficult to immediately handle changes inreal-time tasks without violating the deadline constraints.To cope with thissituation,this paper analyzes the task situations of AI workloads and findsthe following two observations.First,resource planning for AI workloadsis a complicated search problem that requires much time for optimization.Second,although the task set of an AI workload may change over time,thepossible combinations of the task sets are known in advance.Based on theseobservations,this paper proposes a new resource planning scheme for AIworkloads that supports the re-planning of resources.Instead of generatingresource plans on the fly,the proposed scheme pre-determines resourceplans for various combinations of tasks.Thus,in any case,the workload isimmediately executed according to the resource plan maintained.Specifically,the proposed scheme maintains an optimized CPU(Central Processing Unit)and memory resource plan using genetic algorithms and applies it as soonas the workload changes.The proposed scheme is implemented in the opensourcesimulator SimRTS for the validation of its effectiveness.Simulationexperiments show that the proposed scheme reduces the energy consumptionof CPU and memory by 45.5%on average without deadline misses.

马铃薯环腐病菌Real-time Taqman-PCR检测体系的建立

本研究根据环腐病菌16S rRNA保守序列设计特异性引物及探针,建立了马铃薯环腐病菌实时定量荧光PCR检测体系。研究表明,该体系可以准确、稳定、定量的检测出样品中最低浓度为1fg·μL-1(即3.21×103copies·μL-)1的目的基因,检测极限可以达到几个拷贝。该检测体系可对马铃薯环腐病菌进行微量检测,对于保证马铃薯各级种薯、商品薯及其相关产品的质量,提高市场竞争力具有重要意义。

Real-time three-dimensional echocardiography predicts cardiotoxicity induced by postoperative chemotherapy in breast cancer patients

BACKGROUND The anthracycline chemotherapeutic drugs are cardiotoxic.Studies have found some indicators related to cardiotoxicity.However,there is currently no accurate indicator that can predict cardiac toxicity early.AIM To explore the diagnostic value of real-time three-dimensional echocardiography(RT3DE)in predicting cardiac toxicity in breast cancer patients undergoing chemotherapy.METHODS Female breast cancer patients who underwent radical mastectomy and postoperative chemotherapy at the Affiliated Hanzhou First People’s Hospital,Zhejiang University School of Medicine were recruited.All patients were routinely administered with chemotherapy for four cycles(T1-T4)after surgery.Two-dimensional(2D)echocardiography,RT3DE,and serological examinations were performed after each cycle of chemotherapy.Patients were divided into a toxic group and a non-toxic group based on whether patients hadΔleft ventricular ejection fraction>10%after one year of chemotherapy.Repeated measurement analysis of variance was used to compare the changes in 2D echocardiographic indicators,serological indicators,and RT3DE indicators before independent predictive indicators for cardiac toxicity in postoperative chemotherapy patients.Receiver operating characteristics(ROC)curve analysis was performed to analyze the diagnostic value of potential indicators in the diagnosis of cardiotoxicity.RESULTS A total of 107 female breast cancer patients were included in the study.T4 maximum peak velocity in early diastole(E peak)/mitral annulus lateral tissue Doppler(e'peak)(E/e'),serological indicators[T4 cardiac troponin I(cTnI)and T4 pro-brain natriuretic peptide(Pro-BNP)],T3 minimum left atrial volume(LAV),T4 LAVmin,T3 LAV before the start of the P wave(LAVprep),and T4 LAVprep in the toxicity group were significantly higher than those in the nontoxic group.Multivariate logistic regression found that T4 cTnI,T4 Pro-BNP,T3 LAVmin,T4 LAVmin,T3 LAVprep,and T4 LAVprep had potential predictive value for cardiac toxicity(P<0.05).ROC results showed that T4 LAVmin had the highest accuracy for diagnosing cardiac toxicity[area under the curve(AUC)=0.947;sensitivity=78.57%;specificity=94.62%],followed by T4 LAVprep(AUC=0.899;sensitivity=100%;specificity=66.67%).The accuracies of LAVprep and LAVprep in predicting cardiac toxicity were higher than those of T3 LAVmin and T3 LAVprep.CONCLUSION RT3DE of left atrial volume can be used to predict the cardiotoxicity caused by chemotherapy,and it is expected to guide the clinical adjustment of dose and schedule in time.

Evaluation of Biventricular Volume and Systolic Function in Children with Ventricular Septal Defect and Moderate to Severe Pulmonary Hypertension Using Real-Time Three-Dimensional Echocardiography

Background: Real-time three-dimensional echocardiography (RT-3DE) could obtain ventricular volume andejection fraction rapidly and non-invasively without relying on ventricular morphology. This study aims to useRT-3DE to evaluate the changes in biventricular volume and systolic function in children with ventricular septaldefect (VSD) and moderate to severe pulmonary hypertension (PH) before surgery. Methods: In this study18 children with VSD and moderate to severe PH (VSD + PH Group) and 18 healthy children of the sameage (Control Group) were recruited. Biventricular volume and systolic function were evaluated by RT-3DE.The measurements included: left and right ventricular volume indexed to body surface area (BSA), stroke volume(SV) indexed to BSA, and ejection fraction (EF). Results: The results showed left and right ventricular volumeindexed to BSA and SV indexed to BSA were significantly increased in VSD + PH Group (VSD + PH Groupvs. Control Group), LVEDV/BSA (ml/m2): 48.67 ± 21.46 vs. 25.59 ± 6.96, RVEDV/BSA (ml/m2): 55.98 ±15.35 vs. 27.69 ± 4.37, LVSV/BSA (ml/m2): 24.08 ± 9.30 vs. 15.14 ± 4.29, RVSV/BSA (ml/m2): 26.02 ± 8.87 vs.14.11 ± 2.89, (P < 0.05). While for EF in VSD + PH Group decreased (VSD + PH Group vs. Control Group),LVEF: 50.93 ± 7.50% vs. 59.38 ± 7.24%, RVEF: 45.84 ± 7.71% vs. 51.05 ± 6.90% (P < 0.05). Conclusion: Inchildren with VSD and moderate to severe PH, increased biventricular volume and decreased systolic functionwere observed with RT-3DE, but biventricular systolic function remained within acceptable limits. The childrenin this study recovered well after surgery without serious perioperative complications, suggesting that biventricularsystolic function may help facilitate the surgical decision-making process in children with VSD and moderate-toseverePH.

Efficacy of Real-Time Transaction Processing System

Real-Time Transaction Processing System(RTTPS)is a type of e-government that processes documents using electronic communication technology.In this time of the pandemic,the study contributes to the necessity to perform more processing online and less face-to-face.In terms of retrieving information,a comparison between Porter’s Stemming algorithm and this study was performed.The study aims to design a database that will serve as a repository of information in retrieving information and also to examine the efficacy of the real-time process in securing the government requirements using the Technology Acceptance Model.The respondents of this study have perceived ease of use and usefulness on the impact when securing the community tax certificate.

Accessibility Comparison and Spatial Differentiation of Xi’an Scenic Spots with Different Modes Based on Baidu Real-time Travel

A study of the accessibility of a city’s scenic spots via different travel modes can contribute to optimization of tourism-related transportation while improving tourists’ travel-related satisfaction levels and advancing tourism. We systematically analyzed the accessibility of 56 scenic spots in Xi’an City, China, via car and public transport travel modes using the real-time travel function of the Baidu Maps API(Application Programming Interface) along with spatial analysis methods and the modal accessibility gap index of scenic spots. We obtained the following results. First, maximum and minimum travel times using public transport exceeded those using cars. Moreover, the accessibility of scenic spots via cars and public transport presented a circular spatial pattern of increasing travel time from the center to the periphery. Contrasting with travel by public transport, car travel showed a clear time-space compression effect. Second, accessibility of the scenic spots via cars and public transport showed some spatial heterogeneity, with no clear advantages of car accessibility in the central urban area. However, advantages of car accessibility were increasingly evident moving from the center to the periphery. Third, whereas the correlation of the modal accessibility gap index of scenic spots in Xi’an with global space was significantly positive, local spatial interdependence was only evident in some inner city areas and in marginal areas. Moreover, spatial heterogeneity was evident in two regions but was insignificant in other areas, indicating that the spatial interdependence of the modal accessibility gap index in most scenic spots was not apparent in terms of the overall effect of public transport routes, road networks, and the distribution of scenic spots. The improvement of public transport coverage in marginal areas and the optimization of public transport routes in central urban areas are essential tasks for improving travel using public transport in the future.

A wearable real-time telemonitoring electrocardiogram device compared with traditional Holter monitoring

Arrhythmias are very common in the healthy populations as well as patients with cardiovascular diseases.Among them,atrial fibrillation(AF)and malignant ventricular arrhythmias are usually associated with some clinical events.Early diagnosis of arrhythmias,particularly AF and ventricular arrhythmias,is very important for the treatment and prognosis of patients.Holter is a gold standard commonly recommended for noninvasive detection of paroxysmal arrhythmia.However,it has some shortcomings such as fixed detection timings,delayed report and inability of remote real-time detection.To deal with such problems,we designed and applied a new wearable 72-hour triple-lead H3-electrocardiogram(ECG)device with a remote cloud-based ECG platform and an expertsupporting system.In this study,31 patients were recruited and 24-hour synchronous ECG data by H3-ECG and Holter were recorded.In the H3-ECG group,ECG signals were transmitted using remote real-time modes,and confirmed reports were made by doctors in the remote expert-supporting system,while the traditional modes and detection systems were used in the Holter group.The results showed no significant differences between the two groups in 24-hour total heart rate(HR),averaged HR,maximum HR,minimum HR,premature atrial complexes(PACs)and premature ventricular complexes(PVCs)(P>0.05).The sensitivity and specificity of capture and remote automatic cardiac events detection of PACs,PVCs,and AF by H3-ECG were 93%and 99%,98%and 99%,94%and 98%,respectively.Therefore,the long-term limb triple-lead H3-ECG device can be utilized for domiciliary ECG self-monitoring and remote management of patients with common arrhythmia under medical supervision.

Role of real-time three-dimensional transesophageal echocardiography in mitral valve repair

Background and objective Pre-operative assessment of mitral valve (MV) anatomy is essential to surgical design in patients undergoing MV repair.Although 2-dimensional (2D) echocardiography provides precise information regarding MV anatomy,RT-3D TEE could increase the understanding of MV apparatus and individual scallop identification.We aimed to investigate the value of RT- 3DTEE in MV repair.Methods RT-3DTEE was performed in six patients with mitral valve prolapse (MVP) by using Philips 1E33 with X7-2t probe.Preoperative RT-3DTEE studies were compared with surgical findings in patients undergoing surgical mitral valve repair,and quantitative evaluation was performed by QLab 6.0 software before and after surgical mitral valve repair.Results RT- 3DTEE could display dynamic morphology of MV,the location of prolapse,and spatial relation to the surrounding tissue.It could provide surgical views of the valves and the valvular apparatus.These results were consistent with surgical findings.The quantitative evaluation before and after surgical MV repair indicated that anterolateral to posteromedial diameter of annulus,anterior to posterior diameter of annulus,perimeter of annulus,and area of annulus in projection plane were significantly smaller after operation compared with those before operation (P【0.05).The length of posterior leaflet,the area of anterior and posterior leaflet,the maximal prolapse height,the volume of leaflet prolapse and the length of coaptation in projection plane were significantly reduced after operation (P【0. 05).Conclusion RT-3DTEE is a unique new modality for rapid and accurate evaluation ofmitral valve prolapse and mitral valve repair.

Quality Assurance for Respiratory-Gated Radiotherapy Using the Real-Time Tumor-Tracking Radiotherapy System

Purpose: Respiratory-gated radiation therapy (RT) using the real-time tumor-tracking radiotherapy (RTRT) system is an effective technique for managing tumor motion. High dosimetric and geometric accuracy is needed;however, quality assurance (QA) for respiratory-gated RT using the RTRT system has not been reported. The purpose of this study was to perform QA for respiratorygated RT using the RTRT system. Materials and Methods: The RTRT system detected the position of the fiducial marker and radiation delivery gated to the motion of the marker was performed. The dynamic anthropomorphic thorax phantom was positioned at the isocenter using the fiducial marker in the phantom. The phantom was irradiated only when the fiducial marker was within a three-dimensional gating window of ±2 mm from the planned position. First, the absolute doses were measured using anionization chamber inserted in the phantom under the stationary, gating and non-gating state for sinusoidal (nadir-to-peak amplitude [A]: 20 - 40 mm, breathing period [T]: 2 - 4 s) and the basic respiratory patterns. Second, the dose profiles were measured using Gafchromic films in the phantom under the same conditions. Differences between dose profiles were calculated to evaluate the dosimetric and geometric accuracy. Finally, differences between the actual and measured position of the fiducial marker were calculated to evaluate the tracking accuracy for sinusoidal and basic respiratory patterns. Results: For the sinusoidal patterns, the relative doses were 0.93 for non-gating and 0.99 for gating (A = 20 mm, T = 2 s), 0.94 for non-gating and 1.00 for gating (A = 20 mm, T = 4 s), 0.55 for non-gating and 1.00 for gating (A = 40 mm, T = 4 s), respectively. For the basic respiratory pattern, the relative doses were 1.00 for non-gating and 1.00 for gating, respectively. Compared to the stationary conditions, the differences in lateral distance between the 90% dose of dose profiles were 6.23 mm for non-gating and 0.36 mm for gating (A = 20 mm, T = 2 s), 8.79 mm for non-gating and 1.73 mm for gating (A = 20 mm, T = 4 s), 18.37 mm for non-gating and 0.67 mm for gating (A = 40 mm, T = 4 s), respectively. For the basic respiratory pattern, those were 5.23 mm for non-gating and 0.35 mm for gating. The root mean square (RMS) values of the tracking error were 0.18 mm (A = 20 mm, T = 2 s), 0.14 mm (A = 20 mm, T = 4 s), and 0.21 mm (A = 40 mm, T = 4 s) for sinusoidal and 0.79 mm for the basic respiratory pattern, respectively. Conclusion: We conducted QA for respiratory-gated RT using the RTRT system. The respiratory-gated RT using the RTRT system reduced the blurring effects on dose distribution with high dosimetric and geometric accuracy.

Optimized Method for Real-time Texture Reconstruction with RGB-D Camera

With the appearance of RGB-D camera, the field of three-dimensional(3D) reconstruction receives more and more attention. In this paper, we present an optimization approach to produce high-quality textured 3D models based on the real-time 3D reconstruction system.The resulting models of real-time texture reconstruction often suffer from blurring, ghosting, and other artifacts.Our approach addresses this texture quality problem using blur detection and an optimized weight function. Experimental results demonstrate that our approach can improve the quality of textured 3D models by reducing the blur and ghosts on the model surface.

Development of Drone Cargo Bay with Real-Time Temperature Control

In order to deliver medical products (medicines, vaccines, blood packs, etc.) in time for needed areas, a method of transporting goods using drones is being studied. However, temperature-sensitive medical products may decay due to outside temperature changes. The time required to transport over the distance may vary a lot as well. As a result, the likelihood of the goods deteriorating is very high. There is a need for a study on cargo bay to prevent this and to protect the medical goods. In this paper, in order to protect the temperature sensitive medical goods, the inside cargo bay is equipped with the cooling fan device and the electric heating elements. These elements can be monitored and controlled according to the user’s discretion. By using the web server built inside the cloud server, the temperature can be controlled in real-time from anywhere without the limitation of distance. We built the proposed device, and installed it on the drone cargo bay. The test results show that the cargo bay can be temperature-controlled, and the setting can be maintained over a great distance. The user can watch the temperature variations during the transport and ascertain the goodness of the medical supply with the data. It is expected that such development can greatly enhance the utility of the drone operations, especially for the medical supply transport applications.

Development and Validation of Multiplex One-Step Real-Time TaqManqRT-PCR Assays for Detection and Quantification of Arboviral Encephalitis Viruses

Arboviral encephalitis is a group of animal and human illness that is mostly caused by several distinct families of viruses including orthobunya virus, phlebovirus, flaviviruses, and the alphaviruses. Although specific signs and symptoms vary by the type of central nervous system (CNS), initial signs and symptoms are very similar. Therefore rapid immunologic and molecular tools for differential diagnosis of arboviral encephalitis viruses are important for effective case management and control of the spread of encephalitis. The qRT-PCR assay, especially multiplex PCR, has the potential to produce considerable savings in time and resources in the laboratory detection. Meanwhile, the use of IC can prevent false negatives effectively by monitoring the processes of nucleic acid extraction and amplification. This report describes the development of a panel of internally controlled multiplex one-step real-time RT-PCR assays in which two virus specific-probe sets were used in the same reaction for the detection of 15 species arboviral encephalitis viruses: the comparative sensitivity of multiplex one-step qRT-PCR assays to single plex one-step qRT-PCR assays as well as one-step RT-PCR assays for detection of each viral species. And total of 150 human serum samples were detected to evaluate the multiplex one-step qRT-PCR assays. These multiplex one-step real-time RT-PCR assays with IC were evaluated in terms of sensitivity, linearity, precision, specificity, and also field samples including serum and vector. These assays can detect and differentiate arboviral encephalitis viruses by high throughput, sensitive, and specific way. It is useful for clinical management and outbreak control of arboviral encephalitis viruses and vector surveillance.

Assigning Real-Time Tasks in Environmentally Powered Distributed Systems

Harvesting energy for execution from the environment (e.g., solar, wind energy) has recently emerged as a feasible solution for low-cost and low-power distributed systems. When real-time responsiveness of a given application has to be guaranteed, the recharge rate of obtaining energy inevitably affects the task scheduling. This paper extends our previous works in?[1] [2] to explore the real-time task assignment problem on an energy-harvesting distributed system. The solution using Ant Colony Optimization (ACO) and several significant improvements are presented. Simulations compare the performance of the approaches, which demonstrate the solutions effectiveness and efficiency.

Real-Time Traffic Signal Timing for Urban Road Multi-Intersection

this paper develops a real-time traffic signal timing model which is to be integrated into a single intersection for urban road, thereby solving the problem of traffic congestion. We analyze the current situation of the traffic flow with release matrix firstly, and then put forward the basic models to minimize total delay time of vehicles at the intersection. The optimal real-time signal timing model (non-fixed cycle and non-fixed split) is built with the Webster split optimal model. At last, the simulated results, which are compared with conventional model, manifest the promising properties of proposed model.

Correlation analysis of real-time three-dimensional ultrasound in diagnosis of left ventricular function, portal hemodynamics and severity of liver function in patients with liver cirrhosis

Objective:To analyze the correlation between real-time three-dimensional ultrasound in diagnosis of left ventricular function, portal hemodynamics and severity of liver function in patients with liver cirrhosis.Methods: 90 patients with cirrhosis admitted to our hospital from January 2017 to December 2018 were enrolled in the cirrhosis group, and the cirrhosis components were group A, B and C according to the Child-Pauh classification criteria. During the same period, 90 healthy subjects who underwent physical examination were selected as the control group;real-time three-dimensional ultrasonography was performed to examine left ventricular function and portal hemodynamic parameters;Pearson correlation was used to analyze left ventricular function, portal hemodynamics and liver. Functional severity relationship.Results: The left heart E and E/A levels in the cirrhosis group were significantly lower than those in the control group (P<0.05), and the A level was significantly higher than the control group (P<0.05). The Dpv and Q levels in the cirrhosis group were significantly higher than those in the healthy control group. The difference was statistically significant (P<0.05), and the level of Vpv was significantly lower than that of healthy controls (P<0.05). There were significant differences in E, A and E/A levels between different Child-Paugh patients (P<0.05). There were significant differences in portal hemodynamics Dpv, Vpv and Q between the different Child-Paugh grades, and the difference was statistically significant (P<0.05);left heart function E and E/A and liver function severity There was a significant negative correlation (P<0.05). There was a significant positive correlation between left cardiac function A and liver function severity (P<0.05). Portal vein hemodynamics Dpv, Vpv and QE were significantly associated with liver function severity. Positive correlation (P<0.05). Conclusion: Real-time three-dimensional ultrasound can effectively detect left ventricular function and portal hemodynamics changes in patients with cirrhosis, and left heart function, portal hemodynamics and liver function severity are significantly correlated.

A Real-Time Transient Analysis of a Functionally Graded Material Plate Using Reduced-Basis Methods

Based on the hybrid numerical method (HNM) combining with a reduced-basis method (RBM), the real-time transient response of a functionally graded material (FGM) plates is obtained. The large eigenvalue problem in wavenumber domain has been solved through real-time off-line/on-line calculation. At off-line stage, a reduced-basis space is constructed in sample wavenumbers according to the solved eigenvalue problems. The matrices independent of parameters are projected onto the reduced-basis spaces. At on-line stage, the reduced eigenvalue problems of the arbitrary wavenumbers are built. Subsequently, the responses in wavenumber domain are obtained by the approximated eigen-pairs. Because of the application of RBM, the computational cost of transient displacement analysis of FGM plate is decreased significantly, while the accuracy of the solution and the physics of the structure are still retained. The efficiency and validity of the proposed method are demonstrated through a numerical example.

Resource Efficient Hardware Implementation for Real-Time Traffic Sign Recognition

Traffic sign recognition (TSR, or Road Sign Recognition, RSR) is one of the Advanced Driver Assistance System (ADAS) devices in modern cars. To concern the most important issues, which are real-time and resource efficiency, we propose a high efficiency hardware implementation for TSR. We divide the TSR procedure into two stages, detection and recognition. In the detection stage, under the assumption that most German traffic signs have red or blue colors with circle, triangle or rectangle shapes, we use Normalized RGB color transform and Single-Pass Connected Component Labeling (CCL) to find the potential traffic signs efficiently. For Single-Pass CCL, our contribution is to eliminate the “merge-stack” operations by recording connected relations of region in the scan phase and updating the labels in the iterating phase. In the recognition stage, the Histogram of Oriented Gradient (HOG) is used to generate the descriptor of the signs, and we classify the signs with Support Vector Machine (SVM). In the HOG module, we analyze the required minimum bits under different recognition rate. The proposed method achieves 96.61% detection rate and 90.85% recognition rate while testing with the GTSDB dataset. Our hardware implementation reduces the storage of CCL and simplifies the HOG computation. Main CCL storage size is reduced by 20% comparing to the most advanced design under typical condition. By using TSMC 90 nm technology, the proposed design operates at 105 MHz clock rate and processes in 135 fps with the image size of 1360 × 800. The chip size is about 1 mm2 and the power consumption is close to 8 mW. Therefore, this work is resource efficient and achieves real-time requirement.