Auxiliary Processing Research Articles

Electropulsing-Induced α to β Phase Transformation of Ti–6Al–4V

AbstractElectrically assisted forming (EAF) has been increasingly utilized as an effective auxiliary processing technology to improve the formability of hard-to-deform metals. Previous works have revealed that the phase transformation of titanium alloys subjected to electropulsing treatment (EPT) can occur at a lower temperature and in a remarkably shorter time compared with those subjected to the traditional heating treatment (THT). However, an in-depth experimental verification and further analysis is still missing so far. Therefore, to characterize the specific effects of EPT on α → β transformation process, both EPT and THT experiments were conducted on Ti–6Al–4V sheet specimens. After that, a calculation method based on the analysis of optical microscopic (OM) metallographs was developed to characterize the amount of phase transformation in EPT and THT. According to the results, it was found that the pulse current can significantly reduce the phase transus temperature and accelerate the transformation process in EPT compared with that in THT. Furthermore, the specific effects of EPT on transus temperature and phase transformation rate were investigated in detail. Based on that, the transformation kinetics of the electropulsing-induced α → β phase transformation was also analyzed using the Johnson–Mehl–Avrami model. It is revealed that the activation energies of both nucleation and growth of phase transformation are reduced by electric current. Hence, the phase transformation can start at a lower temperature and with a higher rate in EPT. The mechanism behind the effects was also discussed in detail in the present work.

The effects of auxiliary light processing of commercially available LED lighting units on turfgrass growth in a soccer field

The effects of auxiliary light processing of commercially available LED lighting units on turfgrass growth in a soccer field

FPGA-Based EMD Assist Block for Motion Detection in Critical Environments

This study aims to carry out the implementation in FPGA (Field Programmable Gate Array) of a processing system capable of detecting and tracking moving vehicles without losing the system's reliability and efficiency of real-time application. Hence, for simple technique of tracking reach good results is proposed for removing shadows, an auxiliary processing based on insect vision system EMD (Elementary Motion Detector). The principle of this processing is based on cross-correlation and has been implemented in some work to get the direction of moving objects, however, this work is modified and implemented to auxiliary in removing shadows of objects detected using color, spatial and temporal information. The proposed auxiliary processing proves to be efficient in a video stream where the two most critical vehicles are selected with respect the cast shadow. The results of the implementation proposal are presented in terms of resource consumption and maximum operating frequency in a Spartan-6 FPGA-based development board. The experimental results are obtained in co-simulation system and show the effectiveness of the proposed system.

SISTEM BANTU KELAYAKAN KAPAL PELAYARAN PADA PT ASDP KAB. KOLAKA

This research can be carried out to carry out the shipping process to avoid accidents caused by accidents caused by the use of discharges and solutions by using the approach. This auxiliary system works for purposes. The auxiliary system in this research is in the form of optimization that can overcome the problem of ship's overnight in making the voyage. Test the eligibility of ships in a good and optimal shipping to avoid fatal accident is not possible without using a good data management system and realtime. With the auxiliary system, data processing and feasibility parameters become faster and produce decisions with a high degree of accuracy. Through this research, we are able to improve the quality of ship's eligibility in shipping well in strategic and operational aspects. The research was conducted by using survey method, model and system development. The expected result is a prototype and a vessel assistive aerial system for carrying out shipping that can be implemented to address and reduce the number of marine accidents in the voyage.

BIM-based method calculation of auxiliary materials required in housing construction

Abstract To address the problems of budgetary inaccuracy, the lack of comprehensive or high-level management, and the existence of serious waste of auxiliary materials during the main construction phase of housing construction, a BIM-based method for calculating the auxiliary materials required for housing construction is proposed in this paper. The BIM model is firstly built according to structural construction drawings, the construction scheme and the construction specification and technology in the main structure construction stage; then, the usage of auxiliary materials is calculated, and the auxiliary material dosage report, construction drawings, and processing drawings are generated for purchasing, collectively processing auxiliary material and guiding construction at the same time. This paper improves upon the traditional auxiliary material management model and design via the implementation of a BIM application named zgBIMs according to the proposed method. The improved management model uses the generated auxiliary material dosage report, construction drawings, and processing drawings to centralize the processing of the required auxiliary materials, strengthen supervision in the process of material distribution and construction, and introduce a reward and punishment mechanism to control the attrition rate of auxiliary materials. In this paper, the successful implementation of the presented method and management model is demonstrated as part of a comprehensive and experimental building project. The experimental results show that the proposed method can be used for the accurate calculation of the amounts of auxiliary materials required to reduce the use and waste of auxiliary materials efficiently and thus save construction costs.

The design and processing of SONG library

Multi-group cross section library is the basic condition for lattice calculation, which provides the necessary nuclear data parameters. The multi-functional lattice code SONG (Si et al. in Nucl Power Eng 35:111–115, 2014. doi: 10.13832/j.jnpe.2014.S2.0112; Chen et al. in Nucl Power Eng 35:127–130, 2014. doi: 10.13832/j.jnpe.2014.S2.0127) is developed to adapt to the research demands of different types of new reactors, especially the fourth generation (GEN-IV) reactors (Cerullo and Lomonaco in Nucl Fuel Cycle Sci Eng, 2012. doi: 10.1533/9780857096388.3.333; Giorgio et al. in Energy Policy 61:1503–1520, 2013. doi: 10.1016/j.enpol.2013.06.101). The corresponding multi-group cross section library of SONG (SONGLIB) is well designed with much effort considering the next generation reactors’ new feature in material, spectrum, burnup depth, etc. Therefore, the burnup chain (Maria and Jaakko in Nucl Sci Eng 164:140–150, 2010. doi: 10.13182/NSE09-14), energy group structure (Tholakele et al. in Ann Nucl Energy 80:279–292, 2015. doi: 10.1016/j.anucene.2015.01.038), and reaction path should be specially considered. The library SONGLIB is processed with the Evaluated Nuclear Data File (ENDF), nuclide data auxiliary processing code NJOYBAT (Si et al. 2014), and library management code MANLIB (Si et al. 2014). A series of verification work of SONGLIB is then carried out, and the calculated results are satisfied.

The service telemetry and control device for space experiment “GRIS”

Problems of scientific devices control (for example, fine control of measuring paths), collecting auxiliary (service information about working capacity, conditions of experiment carrying out, etc.) and preliminary data processing are actual for any space device. Modern devices for space research it is impossible to imagine without devices that didn't use digital data processing methods and specialized or standard interfaces and computing facilities. For realization of these functions in “GRIS” experiment onboard ISS for purposes minimization of dimensions, power consumption, the concept “system-on-chip” was chosen and realized. In the programmable logical integrated scheme by Microsemi from ProASIC3 family with maximum capacity up to 3M system gates, the computing kernel and all necessary peripherals are created. In this paper we discuss structure, possibilities and resources the service telemetry and control device for “GRIS” space experiment.

The Development of a Multi-Axis Magnetic Roller for Micro-Structure Transfer Embossing Processing Technology

Abstract This study proposed a processing technology using a multi-axis magnetic roller for micro-structure transfer embossing development. First, dynamics deduction and ANSYS numerical simulation were used to explore the impact of the upper axis on the medium and lower axis, under the conditions of different parameters. This study also-developed and established a multi-axis magnetic roller micro-structure transfer embossing system for analysis, simulation, and discussion, on the technological characteristics of the multi-axis auxiliary roller embossing replication and transfer embossing processing technology. By taking advantage of the feature of the uniform contact pressing of the magnetic roller during the roller embossing process, coupled with the coordinated force application of the three axis rollers, this study attempted to achieve complete, uniform transfer embossing and replication of the micro-structure during the roller embossing process. The results of multi-axis transfer embossing process simulation and experimental analysis showed that multi-axis transfer embossing technology can transfer and replicate a micro-structure on the roller in a more uniform and more effective manner. The proposed multi-axis magnetic roller micro-structure transfer embossing system can smoothly replicate a micro-structure by roller embossing with good replication moldability and optical performance characteristics, in order to sufficiently achieve uniform embossing results

Lossless compression of hyperspectral images with pre-byte processing and intra-bands correlation

This paper considers an approach to the compression of hyperspectral remote sensing data by an original multistage algorithm to increase the compression ratio using auxiliary data processing with its byte representation as well as with its intra-bands correlation. A set of the experimental results for the proposed approach of effectiveness estimation and its comparison with the well-known universal and specialized compression algorithms is presented.

Plate Cutting NC Machining Simulation System Based on OpenGL

IIn the plate cutting NC machining field, aiming at how to choose processing method, determine the processing trajectory and other issues, a simulation method was proposed for auxiliary processing production process using computer, in order to achieve in the short time to find the optimum processing path and complete the check NC code. On this issue, based on the 3D simulation system based on OpenGL, the simulation with NC graphics NC code to check the set in one, the full realization of the virtual machining a sheet, greatly improving the efficiency of the plate processing.

Comparison of methods for axis detection of high-density acquired axially-symmetric surfaces

Axis evaluation is a fundamental preliminary step for several applications, from archaeology to geometric inspection of mechanical workpieces. The axis of symmetry is the situation feature of axially-symmetric surfaces, but also a reference for the evaluation of specific geometric properties (roundness, cylindricity and straightness of the axis). Since it is a non-physical geometric entity, it is not directly measurable from the surface, but can nevertheless be derived from the surface. For discretised models, defined by point clouds or triangular meshes, the axis of symmetry detection is a very complex task to accomplish. In this paper three methods for axis estimation of high-density acquired axially-symmetric surfaces are reviewed and compared in the common cases. The methods comparison, performed in this work, doesn’t consist just in an ordinary implementation of methods already described in the literature. These methods involve some auxiliary processing tools (mainly devoted to evaluate geometric differential properties) which characterise the implemented version and its performances. For each of these methods various versions have been considered and implemented which diversify each other for the criterion used for geometrical differential properties of the tessellated model. The methods for axis estimation are compared in the interpretation of the axes of axially-symmetric geometries (analytical and generic, partial and complete) for several types of discretization (size and regularity of the mesh). The results show that in the case of complete axially-symmetric features (analytical or generic), the three analysed methods perform similar results. In presence of not complete axially-symmetric features the methods show very different performances. The methods for axes estimation are of particular interest in several applications where precision and reliability are required. In this paper the main characteristics of the most important methods are identified and some guidelines for their use are given.

Novel magnetic field computation model in pattern classification

Field computation, an emerging computation technique, has inspired passion of intelligence science research. A novel field computation model based on the magnetic field theory is constructed. The proposed magnetic field computation (MFC) model consists of a field simulator, a non-derivative optimization algorithm and an auxiliary data processing unit. The mathematical model is deduced and proved that the MFC model is equivalent to a quadratic discriminant function. Furthermore, the finite element prototype is derived, and the simulator is developed, combining with particle swarm optimizer for the field configuration. Two benchmark classification experiments are studied in the numerical experiment, and one notable advantage is demonstrated that less training samples are required and a better generalization can be achieved.

Study of Low-Load Industrial Robot

In recent years, China's increasing demand for precision machining and auxiliary processing, technological innovation is increasingly urgent. After a summary and integration advantages of virtual prototyping and computer-aided software, developed a General Purpose low-load industrial robots. In this paper, the D-H method in MATLAB to establish a three-dimensional diagram of the industrial robot. Using ANSYS to do a check of the stiffness of the important components of the industrial robot mechanical systems. Finally, after the structure static analysis and verification, to improve the design of the structural components of the robot. Obtained according to the repeatedly comparison of the overall shape of variable verification data, which prove that the design is correct.

Design and implementation of a realtime co-processor for denoising Fiber Optic Gyroscope signal

Abstract The amount of noise present in the Fiber Optic Gyroscope (FOG) signal limits its applications and has a negative impact on navigation system. Existing algorithms such as Discrete Wavelet Transform (DWT), Kalman Filter (KF) denoise the FOG signal under static environment, however denoising fails in dynamic environment. Therefore in this paper an Adaptive Moving Average Dual Mode Kalman Filter (AMADMKF) is developed for denoising the FOG signal under both the static and dynamic environments. Performance of the proposed algorithm is compared with DWT and KF techniques. Further, a hardware Intellectual Property (IP) of the algorithm is developed for System on Chip (SoC) implementation using Xilinx Virtex-5 Field Programmable Gate Array (Virtex-5FX70T-1136). The developed IP is interfaced as a Co-processor/ Auxiliary Processing Unit (APU) with the PowerPC (PPC440) embedded processor of the FPGA. It is proved that the proposed system is an efficient solution for denoising the FOG signal in real-time environment. Hardware acceleration of developed Co-processor is 65× with respect to its equivalent software implementation of AMADMKF algorithm in the PPC440 embedded processor.

Research on the Auxiliary Working Hours of Locomotive Wheels Based on Feature and MOD

Because of the problem that how to formulate standard working hours quickly and accurately in the process of making time quota for enterprises at the present stage, we propose a concept which is a set of operating action and process feature. Considering the similarity of the attribute of process feature between the parts, and seeming the class of locomotive wheels as the object of research, we design a typical template of formulating standard process auxiliary processing time using MOD, this template faces process feature. In actual application, enterprises only have to modify the template slightly in view of the actual situation to meet the requirements.

Research on the Auxiliary Working Hours of Locomotive Wheels Based on Feature and MOD

Because of the problem that how to formulate standard working hours quickly and accurately in the process of making time quota for enterprises at the present stage, we propose a concept which is a set of operating action and process feature. Considering the similarity of the attribute of process feature between the parts, and seeming the class of locomotive wheels as the object of research, we design a typical template of formulating standard process auxiliary processing time using MOD, this template faces process feature. In actual application, enterprises only have to modify the template slightly in view of the actual situation to meet the requirements.

Restoration of intermittent speech signal relying on auditory perceptual capability

Speech signals are frequently transmitted through the IP network. In such situation, a packet loss causes a temporal break in receiving speech signals. The intermittent speech signals make speech communication uncomfortable. However, the intermittent speech signal can be heard smoothly under certain conditions, because the brain reconstructs the missing speech packet unconsciously. This auditory illusory phenomenon, that is, the phonemic restoration effect, occurs under severe noisy conditions [Miller and Licklider, 1950]. In short, a speech signal with a heavy background noise, of which signal-to-noise ratio (SNR) is less than 0 dB, overcomes the intermittency in receiving speech signals, although the noisy speech signal makes us uncomfortable in speech communication. In this paper, we propose a speech signal restoration scheme with auxiliary signal processing to positively enhance our phonemic restoration capabilities under less noisy condition. First, we discuss the characteristics of the background no...

Efficient maximum-likelihood decoding of spherical lattice codes

A new framework for efficient exact maximum-likelihood (ML) decoding of spherical lattice codes is developed. It employs a double-tree structure: The first is that which underlies established tree-search decoders; the second plays the crucial role of guiding the primary search by specifying admissible candidates and is our present focus. Lattice codes have long been of interest due to their rich structure, leading to decoding algorithms for unbounded lattices, as well as those with axis-aligned rectangular shaping regions. Recently, spherical Lattice Space-Time (LAST) codes were proposed to realize the optimal diversity-multiplexing tradeoff of MIMO channels. We address the so-called boundary control problem arising from the spherical shaping region defining these codes. This problem is complicated because of the varying number of candidates to consider at each search stage; it is not obvious how to address it effectively within the frameworks of existing decoders. Our proposed strategy is compatible with all sequential tree-search detectors, as well as auxiliary processing such as the MMSEGDFE and lattice reduction. We demonstrate the superior performance and complexity profiles achieved when applying the proposed boundary control in conjunction with two current efficient ML detectors and show an improvement of 1dB over the state-of-the-art at a comparable complexity.

Initial evaluation of an active/passive structural neural system for health monitoring ofcomposite materials

Structural health monitoring is an underlying technology that can help to ensure safeoperation and provide cost effective maintenance of advanced composite structures.While several general methods of health monitoring have evolved in recent years,there is still the goal of reducing the overall cost of applying health monitoringto large structures. Data acquisition hardware typically consumes most of theinvestment in a structural monitoring system. On a conventional system based onacoustic emission monitoring, a separate high sampling rate data acquisitionchannel is needed for each sensor to convert analog signals to digital signals tolocate damage. Other methods of damage detection are likewise complicated, andrequire many sensors and actuators, auxiliary signal processing, and data storageinstrumentation. This paper proposes a structural neural system that uses firing of sensorneurons to reduce the number of data acquisition channels needed for damagedetection. The neural system can perform passive acoustic emission sensing or activewave propagation monitoring. A prototype structural neural system with foursensor inputs was built and tested, and experimental results are presented in thepaper. One signal output from the structural neural system is used to predict thelocation of damage. A second signal provides the time domain response of thesensors. Therefore, passive and active health monitoring can be performed using twochannels of data acquisition. The structural neural system significantly reduces thedata acquisition hardware required for health monitoring, and combines some ofthe advantages that exist individually for passive and active health monitoring.

An fMRI study of the cerebral macro network involved in ‘cue invariant’ form perception and how it is influenced by stimulus complexity

We investigated the influence of stimulus complexity on the macro network of visual areas involved in 'cue invariant' form perception. Functional MRI imaging on 14 healthy, adult volunteers was performed during a two alternative forced choice (2-AFC) form discrimination task. The functional load imposed onto the visual system was varied by using simple and complex shapes. The figures were defined using a luminance, a chromatic or a motion contrast cue. The three cues activated the same visual areas in the ventral pathway, including area 'LO'. Activation of visual area 'V3v' but not area 'KO' in the dorsal pathway was observed to the motion contrast cue. The simple shapes induced a larger BOLD response in BA18 than the complex shapes, reflecting the selectivity of this region for the features in the stimuli such as edges and vertices. The brain regions yielding a larger BOLD signal to the complex shapes were areas know to be selective to the orthographic content of our complex stimuli. The processing requirement was assessed by comparing the subjects' reaction time. We found no significant difference in the reaction times to the simple and complex shapes. The reaction times to the luminance contrast cue and the chromatic contrast cue were identical but that to the motion contrast cue were 200 ms longer. This finding concurs with neurophysiological studies, reporting a longer onset latency for motion contrast stimuli. It further lends support to the idea that the motion contrast cue requires auxiliary processing by the visual areas of the dorsal pathway before entry into the ventral pathway.