Driver Interface Research Articles

LibERI-A portable and performant multi-GPU accelerated library for electron repulsion integrals via OpenMP offloading and standard language parallelism.

A portable and performant graphics processing unit (GPU)-accelerated library for electron repulsion integral (ERI) evaluation, named LibERI, has been developed and implemented via directive-based (e.g., OpenMP and OpenACC) and standard language parallelism (e.g., Fortran DO CONCURRENT). Offloaded ERIs consist of integrals over low and high contraction s, p, and d functions using the rotated-axis and Rys quadrature methods. GPU codes are factorized based on previous developments [Pham et al., J. Chem. Theory Comput. 19(8), 2213-2221 (2023)] with two layers of integral screening and quartet presorting. In this work, the density screening is moved to the GPU to enhance the computational efficacy for large molecular systems. The L-shells in the Pople basis set are also separated into pure S and P shells to increase the ERI homogeneity and reduce atomic operations and the memory footprint. LibERI is compatible with any quantum chemistry drivers supporting the MolSSI Driver Interface. Benchmark calculations of LibERI interfaced with the GAMESS software package were carried out on various GPU architectures and molecular systems. The results show that the LibERI performance is comparable to other state-of-the-art GPU-accelerated codes (e.g., TeraChem and GMSHPC) and, in some cases, outperforms conventionally developed ERI CUDA kernels (e.g., QUICK) while fully maintaining portability.

Plugin-based interoperability and ecosystem management for the MolSSI Driver Interface Project.

The MolSSI Driver Interface (MDI) Project is an effort to simplify and standardize the process of enabling tight interoperability between independently developed code bases and is supported by numerous software packages across the domain of chemical physics. It enables a wide variety of use cases, including quantum mechanics/molecular mechanics, advanced sampling, path integral molecular dynamics, machine learning, abinitio molecular dynamics, etc. We describe two major developments within the MDI Project that provide novel solutions to key interoperability challenges. The first of these is the development of the MDI Plugin System, which allows MDI-supporting libraries to be used as highly modular plugins, with MDI enforcing a standardized application programming interface across plugins. Codes can use these plugins without linking against them during their build process, and end-users can select which plugin(s) they wish to use at runtime. The MDI Plugin System features a sophisticated callback system that allows codes to interact with plugins on a highly granular level and represents a significant advancement toward increased modularity among scientific codes. The second major development is MDI Mechanic, an ecosystem management tool that utilizes Docker containerization to simplify the process of developing, validating, maintaining, and deploying MDI-supporting codes. Additionally, MDI Mechanic provides a framework for launching MDI simulations in which each interoperating code is executed within a separate computational environment. This eliminates the need to compile multiple production codes within a single computational environment, reducing opportunities for dependency conflicts and lowering the barrier to entry for users of MDI-enabled codes.

Human reliability of the intelligent construction site tower crane driver interface based on DEMATEL-ISM-BN.

With the arrival of Industry 4.0, intelligent construction sites have seen significant development in China. However, accidents involving digitized tower cranes equipped with smart systems continue to occur frequently. Among the main causes of these accidents is human unsafe behavior. To assess the human factors reliability of intelligent construction site tower cranes, it is necessary to shift the safety focus to the human-machine interface and identify patterns of human error behaviors among tower crane drivers through text mining techniques (TF-IDF-TruncatedSVD-ComplementNB). Based on the SHEL model, the behavioral factors influencing human factors reliability in the human-machine interface are categorized and a Performance Shaping Factors (PSF) system is constructed. Building on the foundation of constructing an indicator system for human factors error influence in the driver interface of intelligent construction site tower cranes, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is combined with the Interpretive Structural Modeling (ISM) to analyze the importance of various factors in causing human errors and to analyze the logical structure among these factors. Simultaneously, a Bayesian network is constructed using a multi-level hierarchical structural model, thus establishing a new evaluation method for the human-machine interface. The effectiveness of the proposed method is validated through Bayesian network causal inference based on real case studies. The results demonstrate that the evaluation process of this method aligns with the operational scenarios of tower crane drivers in intelligent construction sites. It not only allows for quantifying the likelihood of human errors but also enables the development of targeted measures for controlling unsafe behaviors among tower crane drivers in intelligent construction sites.

Архитектура драйвера контроллера взаимодействия с плоскопанельным дисплеем для ОС Linux

This paper discusses the development of a driver architecture for display transmitter link controller. The architecture ensures the implementation of protocols for interaction with flat panel displays in the case when the controller has its own registers and configuration system. Unlike the known solutions, the proposed architecture makes it possible to reduce the amount of changes in the implementation code in the event of hardware upgrade, and also does not require the use of automatic driver code generation based on high-level descriptions or the development of special tools, such as domain-specific languages. This paper analyses drivers that are based on Direct Rendering Management subsystem and available in open source, as well as previously described approaches to the development of display transmitter link controller drivers. The paper also presents a logical comparator model for testing phase-locked loop devices, which are an integral part of all display output stacks. Based on this model, an IP block was developed, which was used to test the Display Serial Interface driver. Evaluation of the results was carried out in the development of the MIPI Display Serial Interface driver for a promising controller. This driver was tested together with a device prototype and a panel that supports the MIPI Display Serial Interface 1.3 standard. The results provided in this paper can be used both to develop new drivers for existing controllers and new controllers with new drivers.

Embedding Technology Interface and Digital Payment Drivers in the Unified Theory of Acceptance and Use of Technology 2 Model: Transforming Behavioral Intention to Sustained Intention

Purpose: The present study was undertaken with the purpose of embedding Technology Interface drivers and Digital Payment drivers as additional drivers in the Unified Theory of Acceptance and Use of Technology (UTAUT2) to examine their influence on the Behavioral Intention of online shoppers. Technology Interface drivers include chatbots (CBs) and virtual try-on (VTO) technology. Further, this study also links Behavioral Intention with Sustained Intention to analyze whether it translates into repeated online buying. Research Methods: The study is based on a survey instrument using snowball sampling with data collected from 600 consumers from northern India. The study uses PLS-SEM for gauging the association of UTAUT2 drivers, Technology Interface drivers, and Digital Payment drivers with Behavioral Intention. Findings/Results: The results show a positive and significant association with Behavioral Intention of Technology Interface drivers and Digital Payment drivers as additional drivers to UTAUT2 drivers. UTAUT2 drivers had the highest impact (β: 0.465), followed by Digital Payment and Technology Interface drivers (β: 0.263 and β: 0.211). Further examination suggests a positive impact of Behavioral Intention on Sustained Intention (β: 0.868). The outcomes reflect that the model explained 69.5% of the variation in Behavioral Intention and 75.4% of the variation in Sustained Intention. Implications: The study suggests that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience. Technology Interface drivers have a comparatively lower coefficient, indicating that in India, they are yet to reach the optimum level for consumers to adopt them fully. Efforts to transform Behavioral Intention into repeated online buying or Sustained Intention may go a long way in building a strong, committed community of online sellers to assist in enhancing customer experience.

Analysis of E-Scooter Vibrations from Health Perspective: A Case Study

The impact of vibrations on health in occupational environments has been extensively studied. Although the effects of vehicle vibrations on driving comfort has been investigated, the literature on the impact of vehicle vibrations on health is scarce. Accordingly, this study aimed to investigate the influence of e-scooter vibrations on driver health by considering both whole-body vibrations (WBVs) and hand–arm vibrations (HAVs). From the perspective of health, vibration zones were defined based on the UNE-2631 and UNE-5349 standards, as well as the European Vibration Directive. Real measurements obtained from an e-scooter acceleration database were used. The results of the study on WBVs show that, on average, 87.54% and 95.47% of non-desirable vibrations are caused by driving an e-scooter on pavers and asphalt, respectively. This shows that ‘potentially non-healthy’ and ‘non-healthy’ vibrations are 25.69% and 61.85%, respectively, when driving on pavers and 85.52% and 12.96%, respectively, when driving on asphalt. Therefore, the WBV levels reached by driving an e-scooter on any pavement could potentially harm health. However, the influence of HAV on the incidence of Raynaud’s syndrome is low. The study results on WBV suggest that future e-scooter designs must be based on a more damped road–driver interface.

Framework Design of an Edge Gateway System Supporting Multi-Protocol Standardized Access Detection

Recently, intelligent city construction has been promoted with the development of the Internet of things (IoT). The edge IoT gateway plays a critical role as the data aggregation core and processing center. Most existing gateways mainly solve heavy data storage and processing loads in cloud computing centers. There is less attention paid to multi-protocol data transmission and fusion. However, multiple products with different protocols in an IoT system require a flexible gateway compatible with multiple protocols. This paper proposes a multi-protocol edge gateway. The frame design was based on the actual demand for edge data acquisition. The gateway hardware platform used an RK3399 chip transplanted from the embedded operating system. It could support simultaneous multi-protocol access to ZigBee, LoRa, Bluetooth, and Wi-Fi. We combined the plug-and-play (PnP) hardware device access detection scheme with the system onboard interface driver to realize dynamic access detection and unified device management. In addition, the gateway also integrated data storage and access functions and partial edge computing functions. Finally, the experiment results verified that the multi-protocol edge gateway could meet the demand for data access and device control.

Reliability prediction used dynamic Bayesian networks for redundant system with time‐lag correlation

AbstractIn the reliability prediction process of a redundant system, active units and standby units are assumed independent generally. Due to the interaction among units, failure of the active unit gives the standby unit a potential interior shock, then the standby unit fails after a period of operation. Therefore, the correlation between the active unit and the standby unit is triggered by the failure of the active unit and also has time‐lag. In this paper, a correlation estimated method with two parameters is proposed based on cross‐correlation analysis, where the two parameters are time‐lag interval and time‐lag correlation coefficient, the discriminant conditions of independent, simultaneous correlation and time‐lag correlation are given. Subsequently, the Conditional Probability Table (CPT) of Dynamic Bayesian Network (DBN) is updated by adding time‐lag intervals and time‐lag correlation coefficients. Then, DBN is optimized into Time‐lag Dynamic Bayesian Network (TDBN). Meanwhile, the modeling process and calculated method of TDBN are given. To reduce the complexity of TDBN, the maximum time‐lag correlation coefficient and the time‐lag interval corresponding are regarded as the main parameters to estimate time‐lag correlation. Finally, through the simulation analysis and the case of Chinese train control system (CTCS‐3), it could be seen that the reliability prediction of TDBN is more accurate than DBN, TDBN improves the reliability prediction accuracy of train and driver interface module to 0.8135 either.

Assessing Human Use of Partially-Automated Motor Vehicles: A Subjective Method for Use by Human Factors Experts

This paper describes a pilot test conducted of a quick assessment method in which experts evaluated the safety and usability of partially autonomous vehicles. Two PhD human factors experts drove 3 2018-model-year, partially-automated vehicles (Tesla Model X, Subaru Legacy, and Mazda CX5) and identified safety and usability problems related to the driver interface. From multiple drives of each vehicle over a well-defined course, comments were obtained, and they were classified into 5 safety/usability categories (e.g., not sure what the vehicle did, not sure why it did what it did) with 5 severity levels (cosmetic to catastrophic) in each category. The method was feasible. Planning the route and instrumenting the vehicles proceeded without difficulty, as did the coding of the data. Improvements such as using text-to-speech software (instead of time-consuming manual transcription) to support transcript generation, alternative problem categories, and revised problem severity scoring are described.

Tuning Avalanche Path in Vertical GaN JFETs By Gate Driver Design

The 1.2-kV vertical gallium nitride (GaN) fin-channel junction-gate field-effect transistor (JFET) has recently emerged as a promising candidate for power electronics. It is normally <small>off</small> and has a specific <small>on</small>-resistance smaller than that of 1.2-kV SiC <small>mosfets</small>. A robust avalanche capability has also been reported in vertical GaN JFETs with an avalanche current flowing through the gate. This avalanche path differs from that of power <small>mosfets</small> (via the source) and may pose challenges in gate driver reliability. This article, for the first time, demonstrates that the avalanche current in GaN JFETs can be tuned to flow through the source, by using either a <small>mosfet</small> driver with a large gate resistance or an <i>RC</i>-interface driver. These drivers turn <small>on</small> the fin channel during the device avalanche and obviate a large avalanche current into the gate driver. The carrier dynamics within the GaN JFET under the two avalanche paths have been unveiled by physics-based mixed-mode electrothermal simulations. The critical avalanche energy density in both paths was found to be comparable with the state-of-the-art SiC <small>mosfet</small>s. Additionally, the <i>RC</i>-interface driver was shown to outperform the <small>mosfet</small> driver for vertical GaN JFETs. The learning about normally <small>off</small> GaN JFETs was applied to a study of commercial normally <small>on</small> SiC JFETs. Two avalanche paths of a similar nature were observed with different gate drivers. This article provides new insights of the JFET avalanche and show the excellent robustness of the novel 1.2 kV vertical GaN JFET.

The Open Perimetry Initiative: A framework for cross-platform development for the new generation of portable perimeters.

The Open Perimetry Initiative was formed in 2010 with the aim of reducing barriers to clinical research with visual fields and perimetry. Our two principal tools are the Open Perimetry Interface (OPI) and the visualFields package with analytical tools. Both are fully open source. The OPI package contains a growing number of drivers for commercially available perimeters, head-mounted devices, and virtual reality headsets. The visualFields package contains tools for the analysis and visualization of visual field data, including methods to compute deviation values and probability maps. We introduce a new frontend, the opiApp, that provides tools for customization for visual field testing and can be used as a frontend to run the OPI. The app can be used on the Octopus 900 (Haag-Streit), the Compass (iCare), the AP 7000 (Kowa), and the IMO (CREWT) perimeters, with permission from the device manufacturers. The app can also be used on Android phones with virtual reality headsets via a new driver interface, the PhoneHMD, implemented on the OPI. The use of the tools provided by the OPI library is showcased with a custom static automated perimetry test for the full visual field (up to 50 degrees nasally and 80 degrees temporally) developed with the OPI driver for the Octopus 900 and using visualFields for statistical analysis. With more than 60 citations in clinical and translational science journals, this initiative has contributed significantly to expand research in perimetry. The continued support of researchers, clinicians, and industry are key in transforming perimetry research into an open science.

Characterization of self-magnetic pinch radiographic diode performance on RITS-6 at Sandia National Laboratories. II. Coupling between the inductive voltage adder and the SMP load

The self-magnetic pinch (SMP) diode is a type of radiographic diode used to generate an intense electron beam for radiographic applications. At Sandia National Laboratories, SMP was the diode load for the six-cavity radiographic integrated test stand inductive voltage adder (IVA) driver operated in a magnetically insulated transmission line (MITL). The MITL contributes a flow current in addition to the current generated within the diode itself. Extensive experiments with a MITL of 40 Ω load impedance [T. J. Renk et al., Phys. Plasmas 29, 023105 (2022)] indicate that the additional flow current leads to results similar to what might be expected from a conventional high-voltage interface driver, where flow current is not present. However, when the MITL flow impedance was increased to 80 Ω, qualitatively different diode behavior was observed. This includes large retrapping waves suggestive of an initial coupling to low impedance as well as diode current decreasing with time even as the total current does not. A key observation is that the driver generates total current (flow + diode) consistent with the flow impedance of the MITL used. The case is made in this paper that the 80 Ω MITL experiments detailed here can only be understood when the IVA-MITL-SMP diode is considered as a total system. The constraint of fixed total current plus the relatively high flow impedance limits the ability of the diode (whether SMP or other type) to act as an independent load. An unexpected new result is that in tracking the behavior of the electron strike angle on the converter as a function of time, we observed that the conventional cIVx “Radiographic” radiation scaling (where x ∼ 2.2) begins to break down for voltages above 8 MV, and cubic scaling is required to recover accurate angle tracking.

Design and Monitoring of Solar Power Generation System for Domestic Applications using Matlab/Simulink

In recent years, it is getting attention for renewable energy sources such as solar energy, fuel cells, batteries or ultra capacitors for distributed power generation systems.solar energy maintains life on earth and it is an infinite source of clean energy.Solar radiant energy accounts for most of the usable renewable energy on this earth. Photovoltaic (PV) is a method of generating electrical power by converting solar radiation into direct current electricity using semiconductor that exhibit the photovoltaic effect. Since last five decades, numerous studies have been performed on different design aspects and performance characteristics of Photovoltaic (PV) cells with a common objective of producing fully integrated PV modules to compete with the traditional energy sources. There is an increasing trend for the use of solar cells in industry and domestic appliances because solar energy is expected to play substantial role in future smart grid as distributed renewable source. The proposed model is based on a behavioral cell model for modeling solar radiance to electricity conversion and an electrical driver interface for implementing electrical characteristic of power limited systems in power simulations.

Investigating the Impacts of Road Traffic Conditions and Driver’s Characteristics on Automated Vehicle Takeover Time and Quality Using a Driving Simulator

This study investigates the impacts of road traffic conditions and driver’s characteristics on the takeover time in automated vehicles using a driving simulator. Automated vehicles are barely expected to maintain their fully automated driving capability at all times based on the current technologies, and the automated vehicle system transfers the vehicle control to a driver when the system can no longer be automatically operated. The takeover time is the duration from when the driver requested the vehicle control transition from the automated vehicle system to when the driver takes full control of the vehicle. This study assumes that the takeover time can vary according to the driver’s characteristics and the road traffic conditions; the assessment is undertaken with various participants having different characteristics in various traffic volume conditions and road geometry conditions. To this end, 25 km of the northbound road section between Osan Interchange and Dongtan Junction on Gyeongbu Expressway in Korea is modeled in the driving simulator; the experiment participants are asked to drive the vehicle and take a response following a certain triggering event in the virtual driving environment. The results showed that the level of service and road curvature do not affect the takeover time itself, but they significantly affect the stabilization time, that is, a duration for a driver to become stable and recover to a normal state. Furthermore, age affected the takeover time, indicating that aged drivers are likely to slowly respond to a certain takeover situation, compared to the younger drivers. With these findings, this study emphasizes the importance of having effective countermeasures and driver interface to monitor drivers in the automated vehicle system; therefore, an early and effective alarm system to alert drivers for the vehicle takeover can secure enough time for stable recovery to manual driving and ultimately to achieve safety during the takeover.

IoT Bus Navigation System with Optimized Routing using Machine Learning

As the population in Egypt is ever expanding, it is reflected in the increase of the number of vehicles on the road. Public transportation is the solution and the number of available buses can cover a significant amount of the population demand. However, the outdated state of the transportation infrastructure, the static nature of the lines and indistinct schedules create a confounding and unappealing user experience which prompts the users to stray to cars for their needs. So, an Intelligent Urban Transportation System (IUTS) is a must. IUTS is a multi-layered system which provides the solution for most of these problems. It operates on different layers starting from a real time vehicle tracking for transparent and efficient management of assets, cash-less ticketing done through RFID cards, vehicle health and diagnostic data for creation of automated maintenance schedules and a friendly interactive driver interface. In this paper an approach based on combining all these technologies is discussed where the hardware component is implemented based on System-on-Chip technology with custom hardware to interface with the vehicle. The data collected from the on-board unit is sent to the cloud, and with the help of machine learning algorithms the dynamic responsiveness of the system is guaranteed. The proposed system outperforms other existing ones through the dynamic and optimized routing feature for the bus navigation to optimize the operating cost but still satisfy the passengers’demand.

The MolSSI Driver Interface Project: A framework for standardized, on-the-fly interoperability between computational molecular sciences codes

The MolSSI Driver Interface (MDI) Project provides a standardized API for fast, on-the-fly communication between computational molecular sciences codes. This greatly simplifies the process of implementing methods that require the cooperation of multiple software packages and enables developers to write a single implementation that works across many different codes. The API is sufficiently general to support a wide variety of techniques, including QM/MM, ab initio MD, machine learning, advanced sampling, and path integral MD, while also being straightforwardly extensible. Communication between codes is handled by the MDI Library, which enables tight coupling between executables using either the MPI or TCP/IP methods. Program summaryProgram title: The MDI LibraryCPC Library link to program files:https://doi.org/10.17632/8zppf699hm.1Developer’s repository link:https://github.com/MolSSI-MDI/MDI_LibraryLicensing provisions: BSD 3-clauseProgramming language: C, Python, and Fortran95Nature of problem: Enabling direct communication of commands and data between independently compiled computational molecular sciences codes with minimal latency and in a manner consistent with the requirements of the MDI Project.Solution method: Inter-code communication via the MPI and TCP/IP communication protocols is implemented within the context of a library, with all choices regarding the communication protocol being made by the end-user at runtime. Messages are validated based on expected data type and length, and self-consistent unit conversions are provided. The library builds via CMake, with support for the Unix, Linux, MacOS, and Windows operating systems and for codes using the C, C++, Python, and Fortran languages.Additional comments including restrictions and unusual features: The MDI Library does not itself perform any scientific calculations, but instead facilitates communication between other codes.The MDI Library is a component of the larger MDI Project, which is described in more detail throughout this paper.

Portable and platform-independent MR pulse sequence programs.

To introduce a new sequence description format for vendor-independent MR sequences that include all calculation logic portably. To introduce a new MRI sequence development approach which utilizes flexibly reusable modules. The proposed sequence description contains a sequence module hierarchy for loop and group logic, which is enhanced by a novel strategy for performing efficient parameter and pulse shape calculation. These calculations are powered by a flow graph structure. By using the flow graph, all calculations are performed with no redundancy and without requiring preprocessing. The generation of this interpretable structure is a separate step that combines MRI techniques while actively considering their context. The driver interface is slim and highly flexible through scripting support. The sequences do not require any vendor-specific compiling or processing step. A vendor-independent frontend for sequence configuration can be used. Tests that ensure physical feasibility of the sequence are integrated into the calculation logic. The framework was used to define a set of standard sequences. Resulting images were compared to respective images acquired with sequences provided by the device manufacturer. Images were acquired using a standard commercial MRI system. The approach produces configurable, vendor-independent sequences, whose configurability enables rapid prototyping. The transparent data structure simplifies the process of sharing reproducible sequences, modules, and techniques.

Development of Custom Interface Driver between USRP and SoC devices for SDR Applications

Global Navigation Satellite System (GNSS) is used to provide position based on satellite constellation. The GNSS Software defined radio (SDR) is a software approach which is more flexible than Hardware receivers. In GNSS SDR, most of the RF frontends are interfaced with a host-Personal Computer (PC). The host-PC based GNSS-SDR systems suffer from computational complexity and latency between IQ samples of GNSS signals. There are several RF front ends available to capture the real time signals. Among all these, USRP RF frontends are flexible for the prototype development. Earlier the host-PC was interfaced with the USRP device for the SDR implementation. In this work the, USRP N210 is interfaced with Zynq SoC device for GNSS SDR applications. This approach will introduce parallelism, which in turn leads to reduction in latency between IQ samples. A custom Ethernet driver to interface the USRP N210 with Zynq SoC device is proposed. The experimental results showcase that the proposed SoC based approach is suitable for GNSS-SDR prototype.

IoT-Based Vibration Analytics of Electrical Machines

The aim of this paper is to propose an IoT-based model for real-time condition monitoring of electrical machines, which addresses the challenges of data storage and scalability. The proposed model is evolved with an experimental setup having two sets of dc motor coupled to ac generator and an IoT device to elucidate integrated monitoring and decision making. This IoT-based vibration analytic model uses an IoT2040 Gateway with custom Linux OS image built for acquisition and streaming of vibration signals. The Python target application acquires dc motors shaft vibration using vibration sensors and communicates the data as events to cloud through serial device driver interface. The IoT service running in cloud receives the data from multiple machines through lightweight RESTful HTTP and records the same which are retrievable for analysis and algorithm development in any platform. The retrieved data have been analyzed using the proposed statistical classification-based signal decomposition algorithm as well as time-frequency analysis to estimate the vibration thresholds of every machine connected to IoT cloud. Such estimated thresholds corresponding to different operating and environmental conditions maintained in cloud are used to build a repository of context specific solutions for machine conditions leading to improved maintenance decisions. The uniformity of threshold values obtained from IoT-based model in comparison with that of analysis carried out on the machines locally using myRIO for data acquisition ensures the integrity of the proposed statistical classification algorithm and reliability of the IoT model for condition monitoring with assured scalability.

Audio and Video Decoding and Synchronous Playback for Embedded Systems

The audio and video decoding and synchronization playback system ofMPEG-2 TS stream is designed and implemented based on ARM embedded system. In this system, hardware processor is embedded in the ARM processor. In order to make full use of this resource, hardware MFC is adopted. The multi-format codec decoder decodes the video data and decodes the audio data using the open source Mad (libmad) library. The V4L2 (Video for Linux2) driver interface and the ALSA (advanced Linux sound architecture) library are used to implement the video. Because the video frame playback period and the hardware processing delay are inconsistent, the system has a time difference between the audio and video data operations, which causes the audio and video playback to be out of sync. Therefore, we use the method of synchronizing the video playback implemented to the audio playback stream; realize the audio and video are playing sync. Test results show that, the designed audio decodes and synchronization playback system can decode and synchronize audio and video data.