Reconfigurable macroprocessor model and its algorithm application

The weak stiffness, huge thickness, and low specific capacitance of commonly utilized flexible supercapacitors hinder their great electrochemical performance. Learning from a biomimetic interface strategy, we design flexible film electrodes based on functional intercalated structures with excellent electrochemical properties and mechanical flexibility. A composite film with high strength and flexibility is created using graphene (reduced graphene oxide (rGO)) as the plane layer, layered double metal hydroxide (LDH) as the support layer, and cellulose nanofiber (CNF) as the connection agent and flexible agent. The interlayer height can be adjusted by the ion concentration. The highly interconnected network enables excellent electron and ion transport channels, facilitating rapid ion diffusion and redox reactions. Moreover, the high flexibility and mechanical properties of the film achieve multiple folding and bending. The CNF-rGO-NiCoLDH film electrode exhibits high capacitance performance (3620.5 mF cm-2 at 2 mA cm-2), excellent mechanical properties, and high flexibility. Notably, flexible all-solid assembled CNF-rGO-NiCoLDH//rGO has an extremely high area energy density of 53.5 mWh cm-2 at a power density of 1071.2 mW cm-2, along with cycling stability of 89.8% retention after 10 000 charge-discharge cycles. This work provides a perspective for designing high-performance energy storage materials for flexible electronics and wearable devices.

A lot of modern ultrasonic measurement (UM) applications use digital signal processing (DSP). In many cases DSP comprises a significant part of system hardware and cost, also it sets certain restrictions on measurement speed and signal-to-noise ratio. This paper deals with the influence of the DSP into signal-to-noise ratio and its relevant characteristicsIt presents a concept of DSP exploration in applications. According to this concept the integrated model UM application - DSP architecture is used to select the rational DSP following the application requirements. The exploration is illustrated with the correlational time delay estimation task. The exploration method was suggested and applied in two scientific projects that have done by Ultrasound Research Center and DSP Laboratory at Kaunas University of Technology. During these projects the ultrasonic vision system for mobile robot (project INCO-COPERNICUS No. ERB IC15-CT96-0726) and high precision ultrasonic gas flowmeter have been designed. In both cases signal processing was necessary and the DSP design presented quite serious problem. The model is implemented in software and provides high flexibility. It can be modified for different DSP methods and signals, therefore, it is applicable for the design of various systems.

A high-performance framework for a network programmable packet processor using P4 and FPGA

Organic thermoelectric fibers have great potential as wearable thermoelectric textiles because of their one-dimensional structure and high flexibility. However, the insufficient thermoelectric performance, high fabrication cost, and mechanical fragility of most organic thermoelectric fibers significantly limit their practical applications. Here, we employ a rapid and cost-effective wet-spinning method to prepare dimethyl sulfoxide-doped poly(3,4-ethylenedioxythiophene):poly(styrene sulfonate) (PEDOT:PSS) fiber bundles, followed by rational post-treatment with concentrated sulfuric acid (98% H2SO4) to enhance their thermoelectric performance. The wearable fiber bundles composed of multiple individual PEDOT:PSS fibers have effectively reduced resistance and overall high tensile strength and stability. Rational treatment with H2SO4 partially removes excessive PSS, thereby increasing the electrical conductivity to 4464 S cm‒1, while the parallel bundle is also a major factor in improving the power factor of up to 80.8 μW m‒1 K‒2, which is super-competitive compared with those of currently published studies. Besides, the thermoelectric device based on these fiber bundles exhibits high flexibility and promising output power of 2.25 nW at a temperature difference of 25 K. Our work provides insights into the fabrication of all-organic flexible high-conductivity textiles with high thermoelectric properties.Graphical

This paper presents a digital servo system using general digital signal processor (DSP) and gives the constitution of the servo system. The authors principally discuss the design method of digital servo algorithm. The repetitive control scheme is adopted to enhance the system performance to periodic disturbance.

Connected personal healthcare, or Telehealth, requires smart, miniature wearable devices that can collect and analyze physiological and environmental parameters during a user's daily routine. To truly support emerging applications (Fig. 18.3.1), a generic platform is needed that can acquire a multitude of sensor modalities and has generic energy-efficient signal processing capabilities. SoC technology gives significant advantages for miniaturization. But meeting low-power, medical grade signal quality, multi-sensor support and generic signal processing is still a challenge. For instance, [1] demonstrated a multi-sensor interface but it lacks support for efficient on-chip signal processing and doesn't have a high performance AFE. [2] showed a very low power signal processor but without support for multi-sensor interfacing. [3] presented a highly integrated SoC but lacking power efficiency. This paper demonstrates a highly integrated low-power SoC with enough flexibility to support many emerging applications. A wide range of sensor modalities are supported including 3-lead ECG and bio-impedance via high-performance and low-power AFE. The ARM Cortex™ M0 processor and matrix-multiply-accumulate accelerator can execute numerous biomedical signal processing algorithms (e.g. Independent Component Analysis (ICA), Principal Component Analysis (PCA,) CWT, feature extraction/classification, etc.) in an energy efficient way without sacrificing flexibility. The diversity in supported modalities and the generic processing capabilities, all provided in a single-chip low-power solution, make the proposed SoC a key enabler for emerging personal health applications (Fig. 18.3.1).

Hydrogen-Bonding-Induced H-Aggregation of Charge-Transfer Complexes for Ultra-Efficient Second Near-Infrared Region Photothermal Conversion

The objectives for this study were to 1) determine the relationship between sexual performance class and lambs sired in a competitive mating environment, and 2) determine whether the male-oriented ram test is valid. Fifteen 2- to 3-yr-old whitefaced rams classified as female-oriented, with high or low sexual performance, or classified as male-oriented were used in a multiple-sire breeding arrangement. Five groups of approximately 200 ewes each were exposed for 21 d to 3 rams per group consisting of 1 ram from each class. Rams were blocked for sexual class, and those with close genetic relationship were assigned to different pens. Genomic DNA was prepared from blood collected from 15 rams, 934 ewes, and 1,757 lambs. Up to 4 microsatellite markers were used to determine a lamb's sire. Of 884 ewes with identifiable lambs (known sires), 178 ewes had single lambs, 408 had multiples sired by 1 ram, and 298 had multiples sired by more than 1 ram. The sexual partner preference test used to identify male-oriented rams did not absolutely reflect their sexual performance during competitive breeding. In contrast to only mounting and servicing males in preference tests before breeding, male-oriented rams sired 480 lambs from 330 ewes. Serving capacity tests predicted sexual performance of high and low sexual performance rams. High performance rams impregnated more ewes (499 vs. 258; P < 0.05) and sired more lambs (756 vs. 357; P < 0.05) than did low performance rams, respectively. Low performance and male-oriented rams did not differ for ewes impregnated or lambs sired. We conclude that 1) sexual partner preference tests used to classify male-oriented rams were not absolute in reflecting their breeding performance in a competitive breeding environment; 2) serving capacity tests predicted that high performance rams would breed more ewes than low performance rams and sire more lambs than either low performance or male-oriented rams; and 3) under the conditions of this study, low performance and male-oriented rams did not have an adverse impact on the overall breeding outcome. Combined, low performance and male-oriented rams sired 81 more lambs than did high performance rams, but this required twice as many rams to obtain approximately equal breeding results. Therefore, we suggest that serving capacity tests should be used to select high performance rams, reduce number of rams with marginal sexual performance, and make decisions on ram numbers needed.

The purpose of this study was to take the gauge of the importance-performance of the clothing store attribute in the department store. The survey was administered to customers of department stores in Deajeon city and frequency analysis, factor analysis, reliability analysis, and importance-performance analysis were used to analyze the data of 37 clothing store attributes. The findings of this study were as bellows: 1. 8 factors were distracted from 37 clothing store attributes by factor analysis (Factor 1: goods, Factor 2; store's facility and environment, Factor 3; salesman and service, Factor 4; brand, Factor 5; price, Factor 6; store's atmosphere, Factor 7; convenience of the transportation and access, Factor 8; promotion and advertisement) 2. as results of importance-performance analysis, 10 attributes were shown in area I (high importance and high performance) which needed a strategy of Keep Up the Good Work, 6 attributes in area II (low importance but high performance) fitted a strategy of Possible Overkill, 12 attributes in area III (high importance but low performance) corresponded to a strategy of Concentrate Here, and finally a strategy of Low Priority was needed to 9 attributes in area IV (low importance and low performance).

Background: This study aims to employ Discriminant Analysis to examine the differentiation between state-level volleyball players categorized as "High Performance" and "Low Performance,". Objectives of the Study: 1. To characterize the level of anthropometric, functional and volleyball skill of volleyball players on the basis of high and low performance. 2. To develop discriminate model for classifying a State level Volleyball Players into High or low – performance categories. Materials and methods: In this study 72 male state-level volleyball players from various volleyball academies were selected, their age ranging between 19-25 year, all were selected by using purposive sampling. These selected subjects had been alienated into two group i.e. high and low performance group. Anthropometrical variables were measured by anthropometric kit, General volley pass playing ability, serving skill, passing skill and AAHPER serving test Numerical was measured by Brady’s wall volleying test, AAHPER passing test, AAHPER set up test and AAHPER serving test respectively. Leg Explosive Power, Shoulder Strength, Agility, Abdominal strength measured Standing broad Jump, Medicine ball throw Distance, 10x4 shuttle run, Sit-ups respectively. Results: Box’s M test value is 1.357 is not significant it means that the assumption of homogeneity of variance/covariance matrices is not violated. Canonical correlations of function 1 is.639 indicates 40.83% (=.639) of the variation in the two different group. Wilks&#39; Lambda value is.807 which indicates the model is good as only 65.12% in function 1 variability is not explained by the model. The value of chi-square is 15.294 shows the significance of Wilks Lambda. Group means for high and low group means are.482 and -.482 which are group centroid. (78.4%) cases were correctly classified by the model which is quite high, therefore the model can be considered as valid. Conclusions: Discriminant function for the State level volleyball players on the basis of the performance (High and Low) is Z= -5.331 +.401× (Set Up).

The current developments of VLSI DSP technology are reviewed. Specific topics addressed include general purpose DSP chips (floating-point DSP processors, parallel DSP chips, and reduced instruction set computer (RISC) DSP chips); and DSP cores (generic core processor and DSP controllers). Application-specific DSP chips are also discussed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

To meet the demand for higher performance, flexibility, and economy in today's state-of-the-art networks, great emphasis is placed on unconventional hardware architectures of network processors. This paper analyzes the problem of processor internal resource and traffic management and proposes a programmable scheduler architecture implemented in a novel protocol processor that deals with the above problems in an integrated way. We briefly outline the architecture of the protocol processor and we support that the innovative scheduling scheme integrated in PRO3 is, in general, crucial for network Systems-on-Chip since it makes it feasible to use scheduler's architecture are discussed that lead to efficient integration of the component to different network processor architectures at a similar cost. Its beneficial features are easy hardware implementation, low memory bandwidth requirements and high flexibility so as to support multiple service disciplines in a programmable way, thousands of flows and even perform different scheduling tasks.

Motor drives are traditionally designed with relatively inexpensive analog components. The weaknesses of analog systems are their susceptibility to temperature variations and the component aging. Another difficulty is upgrading the system for new needs. Digital control structures eliminate drifts, solve complex mathematical equations and, by using a programmable processor, can be easily upgraded for new control algorithms. Digital signal processors (DSP) go further; their high performance allows them to perform high resolution control and minimize control loop delays. By the help of their fast processor which works parallel, many complicated control algorithms can be implemented easily. With the importance of digital control structures, it was used a TMS320C50 processor board to implement the dynamic speed controller to induction motor. Also, it was used to increase the performance a HONN (high order neural network) structure in the ANN (artificial neural network) architecture in a very short time.

Today, DAW (Digital Audio Workstation) software lies at the heart of music production and has become an indispensable part of the industry. With the advancement of technology, music production is no longer confined to large studios but has also become accessible to individual users. Now, recording, mixing, and mastering processes can be carried out in a home environment using computer-based systems, without the need for expensive equipment. This fully digital workflow is referred to as "in-the-box" production. Technological developments have enabled individuals to produce music at a professional level in home studios, leading to the emergence of digital alternatives to analog devices. Digital processors have begun to replace analog equipment due to their cost-effectiveness and practicality. This study examines the differences between digital signal processors and analog devices in terms of usage, application areas, and sound processing methods. The research aims to compare digital and analog signal processors, particularly focusing on their processing methods, speed, flexibility, quality, and impact on sound. Based on the findings, it is concluded that digital signal processors, which are increasingly replacing analog processors in the music industry, do not possess the same characteristics as their analog counterparts.

Community Health Centers’ Performance in Cancer Screening and Prevention