Processing System For Applications Research Articles

Active microfluidic reactor-assisted controlled synthesis of nanoparticles and related potential biomedical applications.

Fabricating high-performance nanoparticles (NPs) is currently a focus of researchers due to their manipulative size-dependent unique properties required to develop next-generation advanced systems. To harness the unique properties of NPs, maintaining identical characteristics throughout the processing and application process system is crucial to producing uniform-sized, or monodisperse, NPs. In this direction, mono-dispersity can be achieved by exerting extreme control over the reaction conditions during the NP synthesis process. Microfluidic technology offers a unique approach to control fluid conditions at the microscale and is thus well-positioned as an alternative strategy to synthesize NPs in reactors demonstrating micrometric dimensions and advanced size-controlled nanomaterial production. These microfluidic reactors can be broadly classified as active or passive based on their dependence on external energy sources. Passive microfluidic reactors, despite their lack of reliance on external energy, are frequently constrained in terms of their mixing efficacy when compared to active systems. However, despite several fundamental and technological advantages, this area of research as well as its application to the biological sciences is not well-discussed. To fill this gap, this review for the first time discusses various strategies for synthesizing NPs using active microfluidic reactors including acoustic, pressure, temperature, and magnetic assisted microfluidic reactors. Various established ways for achieving size control on NP synthesis in microfluidic reactors representing the applicability of micro-reaction technology in developing novel nanomaterials suitable for potential biomedical applications are presented in this review along with a comprehensive discussion about the challenges and prospects.

RETRACTED: FPGA implementation of low power and high speed image edge detection algorithm

Image processing is a vital task in data processing system for applications in medical fields, remote sensing, microscopic imaging etc., Algorithms for processing image exist except for real time system style, hardware implementation is most popular principally. This paper presents a design for Sobel filter based edge detection on Field Programmable Gate Array (FPGA) board. Hardware implementation of the Sobel edge detection algorithm is chosen because it presents an honest scope for similarity over software package. On the opposite hand, Sobel edge detection will work with less deterioration in high level of noise. Edges are primarily the noticeable variation of intensities in a picture. Edges facilitate to spot the placement of an object and also the boundary of a selected entity within the image. It conjointly helps in feature extraction and pattern recognition. Hence, edge detection is of nice importance in pc vision. The planned design for edge detection exploitation Sobel algorithm is designed using structural Verilog lipoprotein synthesized exploitation Cadence Genus and enforced using Cadence Innovus. The practicality of the planning is verified exploitation normal pictures by FPGA implementation. The proposed architecture reduce the power, delay and space complexity compare to three existing architectures.

A Heterogeneous Multi-Core Based Biomedical Application Processing System and Programming Toolkit

Due to the growth of biological databases and biomedical instruments, the high performance active (real-time) signal processing becomes a challenge for medical scientists and engineers. The medical applications require a high-performance signal processor which can process the scientific and engineering biomedical applications and is easy to program. In this article, we have suggested a biomedical sensor interface and heterogeneous multi-core processing architecture based biomedical application processing system (BAPS) and biomedical applications toolkit. The biomedical sensor interface supports multiple regular and complex medical signals and provides digital data to the processing system. The BAPS uses heterogeneous multi-core architecture that processes biomedical applications with the performance up to 10 billion operations per sec and accuracy of 1 μ sec. The biomedical application toolkit provides programmability by giving support of hardware-level, scientific and artificial intelligence programming. The BAPS provides a single embedded platform solution to process a wide range of biomedical signal and image processing applications. To prove the importance of the proposed system, we developed the BAPS hardware architecture and tested it with different biomedical applications. When compared the results of BAPS with the baseline system, the results show that BAPS improves active (real-time) applications performance up to 12.8 times and processes passive (non-real-time) application 7.4 times faster and improves the 4.84-time performance of artificial intelligence application. While comparing the power and energy, the BAPS draws 1.56 times less dynamic power and consumes 21.85 times less energy.

RETIENAS: Real Time Intranet Based Entrance Examination System at Institute of Engineering

Accepting the benefits of automation and to avoid the existing issues in semi-automated entrance examination system, Institute of Engineering (IOE) had decided to move into fully automated computer based entrance examination system in 2013. IOE had implemented automatic answer sheet scanning and processing system since 2004 and started online based application since 2009. From the year 2014, IOE has started fully computer based entrance examination system viz. Real Time Intranet based Entrance ExamiNAtion System (RETIENAS) at its resourceful centers (ICTC) at Pulchowk. The fully managed and hassle free application processing system of IOE entrance examination allows applicants to simply apply and receive admit card with specified time slot with the their own choice from online registration system. In this paper, we presented the conceptual framework with functional architecture of RETIENAS. Performance evaluation of RETIENAS shows better result for the allocated shift consisting of 250 examinees during the exam. We have also elaborated on the server and networking infrastructure with software system architected for RETIENAS. IOE need to continuously step ahead towards the excellence by improving the entrance system by addressing the challenges and follow the future directions.Journal of the Institute of Engineering, 2017, 13(1): 190-200

Customer orientation of internet based civil application process system: empirical evaluation and implication

Customer orientation of internet based civil application process system: empirical evaluation and implication

A generic real-time video processing unit for low vision

We describe a generic real-time video processing system for applications in the field of electronic visual aids. A working system has been implemented using a specific hardware (FPGA device) to achieve real-time processing in low cost portable systems. The inclusion of a reconfigurable circuit FPGA allows real-time video processing, the setting control by the user, and personalisation for each individual person in a simple way, resulting in a unique platform to be included in static and portable CCTV systems or in video displays. Several processing algorithms applied to a video source, as digital zoom, edge enhancement or the augmented view scheme are implemented in this device.

Open system architecture modular tool kit for motion and machining process control

A user-friendly reconfigurable and modular monitoring and control system for computerized numerical control (CNC) machine tool control and machining process monitoring is described. The main part of the system is a fully integrated combination of a real-time preemptive operating system (ORTS-DSP) for machine-level soft real-time tasks running on digital signal processor (DSP) boards and an enhanced Windows-NT-based environment (ORTS-PC/NT), running on a PC, for applications such as high-level operator-machine interfaces and high-level communications with the ORTS-DSP tasks on the DSP boards. A transparent communication protocol allows connection between software modules on the same or different DSP boards and the host Windows NT computers. The communication connections can be set up at runtime via a scripting language. ORTS allows modular integration of new functions developed in the C language, and can be reconfigured to control robots, machine tools, or other processes, using simple script commands. The system can be used as an architecture modular operating system for the progressive development of real-time signal processing, motion, and process control applications. Sample applications for machine tool control and sensor-assisted machining applications are presented. An adjunct component of the above system is a module called the intelligent machining module (IMM) which is intended to provide an easy-to-use subsystem for sensor-assisted machining. IMM is a fast, synchronous, runtime configurable signal processing network that can be reconfigured by means of plug-in software modules (PIMs) to form a sensor-based control or signal processing system for applications that can take advantage of synchronous processing. Examples of existing PIMs are peak and average detectors, fast Fourier transforms, and control algorithms. IMM can be used as an integral part of the above system, or as a stand-alone subsystem, or integrated with semi-open commercial CNC machines.

The Employment and Wages of Legalized Immigrants

"This article analyzes the employment and wages of recently legalized immigrants [in the United States] using the Legalization Application Processing System (LAPS) file, an administrative file based on the individual records of amnesty applicants, and draws comparisons with a sample of the foreign-born population from the Current Population Surveys of 1983, 1986 and 1988. Compared to the total foreign-born population, the legalized immigrant population differs in four important respects that bear on labor market position: 1) a younger age structure; 2) a less balanced gender composition; 3) a greater representation of Latin Americans; and 4) few years of U.S. residence. LAPS data reveal high rates of labor force participation among legalized immigrants, which exceeded the rates of the foreign-born population by approximately 5 and 17 percent for men and women, respectively."

Airborne close‐range sensing yields analysis of local ecological changes∗: Outline of a data‐acquisition and ‐processing system for applications in geo‐sciences, engineering, planning, object management, and environmental protection

The objective is to introduce the TOPOGRAMM system and relate it to conventional survey and geo‐information processing methods. The first section describes a combination of methods. It covers reconnaissance and conventional metric cameras, special film developments, sensors, analytic stereo plotter, and digital superimposition systems, geographic information systems (including terrain modelling software), and task‐specific acquisition, documentation, analysis, and implementation concepts. The second section explains the use of a mix of modern information processing, established practical procedures, and the exploitation of visual powers of man combined with high precision measurements. Favouring visual identification and selection and adding exact dimensions secure unmatched objectivity, repeatability, transparency, and high fidelity of results. Ground‐ and “Gestalt"‐truth of objects and neighbourhoods, measurements and dimensional orientation provide a reliable framework to attribute field and remote sensing data. Optial superimposition and continuous visual inspections allow a better match betwen nature, models, and maps. Regional close‐ups in known chronological order allow the analysis of episodic and minute changes.