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Automated Processing of Vibration Test Results for Basic Metal-concrete Components of the Cutting Machines

Procedia Engineering 2017年 206卷 1205-1210页

作者： A.A. Dyakonov L.V. Shipulin A.S. Ovsienko South Ural State University 76 Lenin Avenue Chelyabinsk 454080 The Russian Federation

The paper describes the software module development for the processing of the experimental data obtained during the tests of running machines with the metal-concrete basic components. To develop the software module, an integrated block algorithm based on the method of computing the machine bed oscillation decrement is proposed. The module allows computing the damping decrement and filing a report according to user-preferred testing result files. The test data for thirteen machines has been processed in the developed module. As a result, a set of report files forming a summary table has been derived. The table data are analyzed and interpreted at the end of the paper.

关键词： metal-concrete basic machine components amplitude-frequency curve processing software module

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A Hybrid Scheme Based on Pipelining and Multitasking in Mobile Application Processors for Advanced Video Coding

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SCIENTIFIC PROGRAMMING 2015年第1期2015卷 197843.1-197843.1页

作者： Asif, Muhammad Taj, Imtiaz A. Ziauddin, S. M. Bin Ahmad, Maaz Tahir, M. Mohammad Ali Jinnah Univ Islamabad Pakistan Streaming Networks Pvt Ltd Islamabad Pakistan Mohammad Ali Jinnah Univ Karachi Pakistan

One of the key requirements for mobile devices is to provide high-performance computing at lower power consumption. The processors used in these devices provide specific hardware resources to handle computationally intensive video processing and interactive graphical applications. Moreover, processors designed for low-power applications may introduce limitations on the availability and usage of resources, which present additional challenges to the system designers. Owing to the specific design of the JZ47x series of mobile application processors, a hybrid software-hardware implementation scheme for H.264/AVC encoder is proposed in this work. The proposed scheme distributes the encoding tasks among hardware and software modules. A series of optimization techniques are developed to speed up the memory access and data transferring among memories. Moreover, an efficient data reusage design is proposed for the deblock filter video processing unit to reduce the memory accesses. Furthermore, fine grained macroblock (MB) level parallelism is effectively exploited and a pipelined approach is proposed for efficient utilization of hardware processing cores. Finally, based on parallelism in the proposed design, encoding tasks are distributed between two processing cores. Experiments show that the hybrid encoder is 12 times faster than a highly optimized sequential encoder due to proposed techniques.

关键词： High Performance Computing ENCODER parallelism PROCESSOR software module hardware resource LOW POWER Pipeline processing Computer personnel Mobile devices PARALLEL PROCESSING (COMPUTERS) Video coding Computer hardware Mobile Applications

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Development of a Human Flow Generation module for Testing Machine Learning Algorithms

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Transportation Research Procedia 2021年 54卷 783-792页

作者： Kirill Kulagin Aleksandr Leksashov Marina Bolsunovskaya Svetlana Shirokova Peter the Great St Petersburg Polytechnic University St Petersburg Russia

This article describes a custom software module for generating human flows that is currently under research and development. Existing works on this topic are investigated. The main software developments for generating human flows and modern development tools that can help in creating the necessary module are analyzed. The choice of the development environment, language, third-party programs and modules that help in development is justified. The developed customizable module of human flows provides the movement of people, including traffic across the road, the ability to select certain groups of people to place them on the street. In addition, this module has been integrated with the virtual urban environment and transport generation module to test connectivity with other projects. Functional and load testing carried out at the end revealed some shortcomings, which were later corrected. The authors make assumptions about the integration of the module into a complex traffic model.

关键词： software module Human Flow Generation module Testing Machine Learning Algorithms Integrated Traffic System

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Development of module for Automated Abrasive Tool Selection on High-speed Machining Operation

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Procedia Engineering 2017年 206卷 1211-1214页

作者： L.V. Shipulin A.A. Dyakonov M.M. Al-Aqeeli South Ural State University 76 Lenin Avenue Chelyabinsk 454080 The Russian Federation

This article deals with a practical task of choosing a tool during operation of high speed machining and suggests solving it by means of a software module for automated abrasive tool selection– grinding wheel. The article presents an algorithm, based on the method taking into account main interrelations and logic of high speed machining processes. The algorithm is implemented in source environment Microsoft Visual C#, resulting in operating software application. The article includes an example of using this software application and its effect: increasing high speed machining effectiveness and decreasing the time of production preparation.

关键词： selection of abrasive tool high-speed machining operation software module

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A Resource Management Model for Real-time Edge System of Multiple Robots

A Resource Management Model for Real-time Edge System of Mul...

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IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)

作者： Zheyuan Hu Jianwei Niu Tao Ren Huiyong Li Ye Rui Yuan Qiu Liang Bai Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) Beihang University Beijing China Shanghai Aerospace Technology Institute Shanghai China

ISBN: (数字)9781728165509

ISBN: (纸本)9781728165516

Industrial robots are playing an important role in now a day industrial productions. However, due to the increasing in robot hardware modules and the rapid expansion of software modules, the reliability of operating systems for industrial robots is facing severe challenges, especially for the light-weight edge computing platforms. Based on current technologies on resource security isolation protection and access control, a novel resource management model for real-time edge system of multiple robot arms is proposed on light-weight edge devices. This novel resource management model can achieve the following functions: mission-critical resource classification, resource security access control, and multi-level security data isolation transmission. We also propose a fault location and isolation model on each lightweight edge device, which ensures the reliability of the entire system. Experimental results show that the robot operating system can meet the requirements of hierarchical management and resource access control. Compared with the existing methods, the fault location and isolation model can effectively locate and deal with the faults generated by the system.

关键词： Resource isolation Edge computing Robot operating system Resource access control Fault detection Cooperating robots Defect detection Fault location industrial robots access control robotic arm Operating systems management of resources Edge Device software module resource security Edge of a figure or solid

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A software Architecture for the Dynamic Path Planning of an Autonomous Racecar at the Limits of Handling

A Software Architecture for the Dynamic Path Planning of an ...

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International Conference on Connected Vehicles and Expo (ICCVE)

作者： Johannes Betz Alexander Wischnewski Alexander Heilmeier Felix Nobis Leonhard Hermansdorfer Tim Stahl Thomas Herrmann Markus Lienkamp Chair of Automotive Technology Technical University of Munich Garching Germany

ISBN: (纸本)9781728101439

Based on a software architecture for autonomous driving presented and tested in an autonomous level-5 race-car in 2018 this paper describes in detail the evolutionary enhancement of this software architecture. The architecture combines the autonomous software layers perception, planning and control, which were modularized in the core software. The focus of this paper is the detailed description of how we enhanced the software with a module for an object list creation, a module for the behavioral planning and a module for the creation of dynamic trajectories. These enhancements allow the car to overtake other cars and static obstacles autonomously when driving on the race track. Furthermore, we present with a high novelty value the software module for a vehicle performance maximization, which consists of a control performance assessment and a friction estimation. The software architecture displayed in this paper will be tested and evaluated in the Roborace Season Alpha in 2019.

关键词： software architecture Path planning control performance software module Cars computer software Handling (Psychology)

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Cross Version Defect Prediction with Representative Data via Sparse Subset Selection

Cross Version Defect Prediction with Representative Data via...

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IEEE Workshop on Program Comprehension

作者： Zhou Xu Shuai Li Yutian Tang Xiapu Luo Tao Zhang Jin Liu Jun Xu Wuhan University Wuhan China Hong Kong Polytechnic University Hong Kong China Harbin Engineering University Harbin China

ISBN: (数字)9781450357142

ISBN: (纸本)9781538661697

software defect prediction aims at detecting the defect-prone software modules by mining historical development data from software repositories. If such modules are identified at the early stage of the development, it can save large amounts of resources. Cross Version Defect Prediction (CVDP) is a practical scenario by training the classification model on the historical data of the prior version and then predicting the defect labels of modules of the current version. However, software development is a constantly-evolving process which leads to the data distribution differences across versions within the same project. The distribution differences will degrade the performance of the classification model. In this paper, we approach this issue by leveraging a state-of-the-art Dissimilarity-based Sparse Subset Selection (DS 3 ) method. This method selects a representative module subset from the prior version based on the pairwise dissimilarities between the modules of two versions and assigns each module of the current version to one of the representative modules. These selected modules can well represent the modules of the current version, thus mitigating the distribution differences. We evaluate the effectiveness of DS 3 for CVDP performance on total 40 cross-version pairs from 56 versions of 15 projects with three traditional and two effort-aware indicators. The extensive experiments show that DS 3 outperforms three baseline methods, especially in terms of two effort-aware indicators.

关键词： Cross version defect prediction Representative data Sparse subset selection Pairwise dissimilarities computer software Subset software module

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software Interfaces: On The Impact of Interface Design Anomalies

Software Interfaces: On The Impact of Interface Design Anoma...

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International Conference on Computer Science and Information Technology

作者： Hani Abdeen Osama Shata Abdelkarim Erradi Department of Computer Science Engineering College of Engineering - Qatar University P.O.Box 2713 Doha Qatar

ISBN: (纸本)9781467356107

Interfaces are recognized as an important mechanism to define contracts governing interactions between semiindependent software modules. Well-designed interfaces significantly reduce software complexity and ease maintainability by fostering modularization, hiding implementation details and minimizing the impact caused by changes in the software implementation. However, designing good interfaces is not a trivial task. The presence of interface design defects often yield increased development cost, lower code quality and reduced development productivity. Despite their importance, currently there are only a few research efforts that investigate the quality of interface design. In this paper, we identify and characterize common interface design anomalies and illustrate them via examples taken from well-known open source applications. In order to quantify the presence of interface design anomalies and estimate their impact on the interface design quality, as well on the software quality attributes, such as maintainability, we conduct an empirical study covering 9 open source projects. Building on our empirical results, we develop a set of recommendations to improve interface design.

关键词： software Interfaces Interface Design Quality Interface Design Anomalies Interface Cohesion Unused Interfaces Duplicate Interfaces software interface design for quality software quality Maintainability Interface Interfaces software implementation software module Anomalies

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Enhancing the fuzzy modeling tool GUAJE with a new module for fingrams-based analysis of fuzzy rule bases

Enhancing the fuzzy modeling tool GUAJE with a new module fo...

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IEEE International Conference on Fuzzy Systems

作者： Jose M. Alonso David P. Pancho Luis Magdalena Department of Electronics University of Alcala European Centre for Soft Computing

ISBN: (纸本)9781467315074

The so-called fuzzy inference-grams (fingrams) constitute a novel and powerful tool for expert analysis of fuzzy rule bases at inference level in terms of co-fired rules, i.e., rules fired at the same time by a given input vector. A fuzzy rule base can be seen as a population made up of a set of individual rules which are competing and collaborating among them with the aim of yielding both good generality-specificity and interpretability-accuracy trade-offs. Thus, system behavior turns up from the existing relations among rules which can be easily analyzed by looking at the rule base as a fingram, i.e., as a social network made of nodes representing fuzzy rules. This paper introduces a new software module for fingram generation and analysis which is provided with the last version of GUAJE, a free software tool devoted to the generation of understandable and accurate fuzzy systems. Notice that, fingram analysis consists of studying the interaction among nodes in the network for the purpose of understanding the structure and behavior of the fuzzy rule base under consideration. It is based on the basic principles of social network analysis which have been properly incorporated into GUAJE and adapted to the design of fuzzy systems.

关键词： fuzzy rule base Fuzzy rules Fuzzy systems rule base Alkali software module Ganglia Rule fuzzy modeling Base materials system behavior Social network analysis Bases Social Media Social Networks

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A Universal Digital Platform and software Library for Power Electronic Systems Integration

A Universal Digital Platform and Software Library for Power ...

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CES/IEEE 5th International Power Electronics and Motion Control Conference

作者： Haibing HU, Tianjun Jin,Wenxi YAO, Zhengyu LU, Zhaoming Qian National Key Lab. of Power Electronics, Zhejiang University, Hangzhou, China

A new flexible digital platform based on the fixed-pointing DSP has been developed for power electronic systems integration, whose computational power can be easily expanded by floating-point units(FPU) which are configured by a FPGA. Some lP(Intellectual Property) cores for power electronic applications, coded in VHDL for modularity and portability, have been designed and validated in the digital platform. software modules commonly used in power electronic applications are packaged in C language with fixed-point format for versatility and computation efficiency. All these IP cores and software modules are verified in real-time applications and can be easily integrated into power electronic systems.

关键词： Digital platform IP core software module Power electronic systems integration

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