2,312 research outputs found

    A Reflective Analysis of Image Processing Operations on Kato-Katz Images for the Pathological Diagnosis of Neglected Tropical Diseases

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    This paper gives an insight into the interdisciplinary work that has been carried out to diagnose some of the neglected tropical diseases, in particular micro-parasitic diseases, using image processing operations. The infections from micro-parasites are collectively called Helminthiasis. The Kato-Katz method is a slide scanning technique commonly used for the qualitative and semi-quantitative diagnosis of helminthiasis. This paper explains the image analysis and processing of Kato-katz images to extract meaningful information and convert the qualitative features of the images to quantitative data and thereby effectively diagnose the disease. This is the preliminary stage of a pioneering work done in the field of neglected tropical disease diagnosis and would be beneficial for thousands of people including children in the endemic region

    Study of drug prescription pattern and adverse drug reaction monitoring in patients with hypertension and diabetes visiting outpatient department in a government tertiary care hospital in Maharashtra, India

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    Background: Drug utilization study is an important tool to study the clinical use of drugs and its impact on healthcare system. DUS in patients with HTN and DM is essential to observe the changing prescribing attitude of physicians with the aim to promote rational use of drugs and to minimize the adverse drug reactions.Methods: A cross sectional observational study was conducted on randomly selected patients attending medicine outpatient department in a tertiary care hospital. Drug prescription sheets of 600 patients were studied for 18 months from January 2016 to June 2017 and the prescribing pattern was analysed using the World Health Organization basic drug indicators.Results: Total 2029 drugs were prescribed to 600 patients that belonged to various classes. The average number of drugs prescribed per encounter was 3.4. Majority (61.5%) drugs were prescribed using generic names. Percentage encounters with the antibiotics and injections were 6.3 and 11.5 per cent respectively. 38% drugs were prescribed from the 20th edition of WHO Model List of Essential Medicines. PDD in the current study was found to be significantly less than WHO DDD in all drugs. All of the prescriptions in the present study conformed to WHO guidelines and majority of them with JNC VIII guidelines.Conclusions: The findings of this study are comparable to those of other studies. However, there is a scope of improvement in areas such as overdosing, prescribing more by generic names instead of brand names and from WHO Model List of Essential Medicines

    Efficient Digital Signal Processing Techniques and Architectures for On-Board Processors

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    In this paper, we present a number of algorithmic and architectural DSP solutions to be incorporated in digital OBPs for communication satellites to boost the system performance primarily in terms of reducing their power consumption. More specifically this article addresses (1) Infinite impulse response (IIR) implementation of digital filters, (2) Efficiency savings in channeliser FFT twiddle storage and multiplications and their reconfigurable implementation (3) Companding of interconnect data, and (4) Critically sampled/reduced over-sampling channelisation. The applicability and efficiency of these approaches were evaluated in detail during our European Space Agency (ESA) funded research project entitled "Efficient Techniques for On-Board Processing”, undertaken by Airbus Defence and Space and the Applied DSP and VLSI Research Group at the University of Westminster. The results demonstrated noteworthy improvements both in terms of power dissipation, and furthermore in the reduction of circuit complexity for future digital OBPs, which will be shown at the summary of results section

    On board Processor and Processing Strategies for Next Generation Reconfigurable Satellite Payloads

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    Today, the increasing demand in higher data rates necessitates new methods as well as higher flexibility for satellite telecommunication payloads in order to address a variety of applications and customers. This paper presents one of these processing strategies that is applicable to today’s processing satellite payloads aiming to meet those demands. For this purpose, a two-tier filter bank is designed as part of a digital onboard processor, which first divides the spectrum at the output of the ADC into a number of sub-bands extracting all the stacked channels in the digital domain. Following the analysis section of the first tier of operations, the extracted channels go under a secondary channelisation process to obtain much finer granularity of 31.25 kHz or 50 kHz depending on the communication standard used for data transmission. The implementation of the channeliser was delivered on a bit-true simulation model and the input and the output of the channelisers were compared and evaluated both in the time and frequency domains

    Wearable Nano-Based Gas Sensors for Environmental Monitoring and Encountered Challenges in Optimization

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    With a rising emphasis on public safety and quality of life, there is an urgent need to ensure optimal air quality, both indoors and outdoors. Detecting toxic gaseous compounds plays a pivotal role in shaping our sustainable future. This review aims to elucidate the advancements in smart wearable (nano)sensors for monitoring harmful gaseous pollutants, such as ammonia (NH3), nitric oxide (NO), nitrous oxide (N2O), nitrogen dioxide (NO2), carbon monoxide (CO), carbon dioxide (CO2), hydrogen sulfide (H2S), sulfur dioxide (SO2), ozone (O3), hydrocarbons (CxHy), and hydrogen fluoride (HF). Differentiating this review from its predecessors, we shed light on the challenges faced in enhancing sensor performance and offer a deep dive into the evolution of sensing materials, wearable substrates, electrodes, and types of sensors. Noteworthy materials for robust detection systems encompass 2D nanostructures, carbon nanomaterials, conducting polymers, nanohybrids, and metal oxide semiconductors. A dedicated section dissects the significance of circuit integration, miniaturization, real-time sensing, repeatability, reusability, power efficiency, gas-sensitive material deposition, selectivity, sensitivity, stability, and response/recovery time, pinpointing gaps in the current knowledge and offering avenues for further research. To conclude, we provide insights and suggestions for the prospective trajectory of smart wearable nanosensors in addressing the extant challenges

    The Design of Low Complexity Low Power Pipelined Short Length Winograd Fourier Transforms

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    In this paper a novel pipelining approach applicable to Winograd Fourier transforms is presented. The novel approach makes use of reconfigurable multiplier blocks to implement the real multipliers required for the transform as well as sharing the hardware resources among additions. The additions are realized using modified forms of butterfly circuits. The novel approach is tested on a 5-point Winograd Fourier transform and the circuit area and power dissipation of the design are estimated using an in-house power estimation tool and compared to the state-of-the- art approaches

    The Effect of Giving Dragon Fruit Skin Extract (Hylocereus costarisensis) on the Quality of Se'i Beef Meat

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    This research has been conducted to determine the quality of processed meat mixed with dragon fruit skin extract (Hylocereus costarisensis) and determine the length of time of different watering. The method used was an experimental method with a design using a complete randomized design (CRD) consisting of 2 4x3 pattern factors consisting of 4 factors of dragon skin extract level of 0% (control), 40%, 60%, 80%, and 3 factors of duration time of watering 6 hours, 12 hours, 18 hours. Combining these two factors produces 12 combinations in each treatment and were repeated 3 times, thus there will be 36 experimental units. The parameters measured in the study were TBA, water activity, pH, total bacteria (TPC). Data analysis used Anova, if the impact is very significant (P<0.01) Duncan further test was conducted to determine the difference between treatment with SPSS 23 software. This study showed that the interaction between dragon fruit skin extract and the duration factor of watering had a very significant effect (P<0.01) on TBA, pH, TPC, antioxidant activity. The best combination for TBA, pH, TPC, antioxidant activity of meat se'i at 80% for 18 hours. While the activity of se'i water caused the Aw value to increase from 0.84 to 0.96, the best combination for the value of water activity meat se'i at the level of 60% with a length of 12 hours.

    ELVIS - ELectromagnetic Vector Information Sensor

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    The ELVIS instrument was recently proposed by the authors for the Indian Chandrayaan-1 mission to the Moon and is presently under consideration by the Indian Space Research Organisation (ISRO). The scientific objective of ELVIS is to explore the electromagnetic environment of the moon. ELVIS samples the full three-dimensional (3D) electric field vector, E(x,t), up to 18 MHz, with selective Nyqvist frequency bandwidths down to 5 kHz, and one component of the magnetic field vector, B(x,t), from a few Hz up to 100 kHz.As a transient detector, ELVIS is capable of detecting pulses with a minimum pulse width of 5 ns. The instrument comprises three orthogonal electric dipole antennas, one magnetic search coil antenna and a four-channel digital sampling system, utilising flexible digital down conversion and filtering together with state-of-the-art onboard digital signal processing.Comment: 8 pages, 3 figures. Submitted to the DGLR Int. Symposium "To Moon and Beyond", Bremen, Germany, 2005. Companion paper to arXiv:astro-ph/050921

    High-Fidelity Control, Detection, and Entanglement of Alkaline-Earth Rydberg Atoms

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    Trapped neutral atoms have become a prominent platform for quantum science, where entanglement fidelity records have been set using highly excited Rydberg states. However, controlled two-qubit entanglement generation has so far been limited to alkali species, leaving the exploitation of more complex electronic structures as an open frontier that could lead to improved fidelities and fundamentally different applications such as quantum-enhanced optical clocks. Here, we demonstrate a novel approach utilizing the two-valence electron structure of individual alkaline-earth Rydberg atoms. We find fidelities for Rydberg state detection, single-atom Rabi operations and two-atom entanglement that surpass previously published values. Our results pave the way for novel applications, including programmable quantum metrology and hybrid atom–ion systems, and set the stage for alkaline-earth based quantum computing architectures
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