Area Consumption Research Articles

Multi-objective Capacity Planning for Expressway Microgrid Considering Photovoltaic Panel Dust Removal Maintenance

The increasing passenger volume and the rapid development of the electric vehicle industry make the electricity consumption of the expressway service area grow day by day. It is of great significance to study the planning and design method of the microgrid in the expressway service area. This paper established a wind-photovoltaic-storage capacity planning model for the microgrid in expressway service areas, which considered the dust removal maintenance of photovoltaic panels. The multi-objective optimization problem was solved by the improved fast non-dominated sorted genetic algorithm (NSGA II) with the aim of minimizing the total system investment, and operating cost and maximizing the self-consistent rate of electricity consumption of the microgrid. The Pareto optimal solution frontier with uniform distribution and wide range is obtained, and the capacities of PV, wind power, energy storage, and contact line are obtained under different self-consistent rates of electricity consumption. This method can not only make full use of distributed PV resources that can be developed on the expressway to improve the self-consistent level of energy but also comprehensively evaluate the economy of the microgrid system and meet the requirements of power supply reliability.

Implementation of a Robust Framework for Low Power Approximate Multiplier Using Novel 3:2 and 4:2 Compressor for Image Processing Applications

Background: The technique of approximation allows for a trade-off between accuracy, speed, area use, and power usage. It is essential in applications that can withstand errors because even a modest accuracy loss can have a significant impact on the result. Methods: In this research, a novel approximate adder and exact 3:2 and 4:2 compressors are used to create a power-efficient approximation multiplier. In order to reduce the partial product while keeping a fair level of accuracy, approximate compressors are used. Results: The proposed approximate multiplier performs better in terms of LUTs, area, memory usage, and power consumption when compared to state-of-the-art work. Conclusion: The proposed approximate multiplier is applied to two sets of images for image blending to validate the results. PSNR values of 25.49 dB and 24.7 dB were attained for set 1 and set 2, respectively.

Efficacy of Combining Traditional Chinese Manual Therapy (Tuina) and Specific Therapeutic Neck Exercise in Young Adults with Non-Specific Chronic Neck Pain: Study Protocol for a Randomized Controlled Trial.

Non-specific chronic neck pain (NSCNP) is an increasingly common musculoskeletal disease and an important issue in the global healthcare system. Some studies have shown that the combination of manual therapy and exercise is effective in treating NSCNP but still with several limitations. Traditional Chinese manual therapy (tuina) is a Chinese manual therapy that consists of soft tissue manipulation and spinal manipulation. This study aims to design a randomized controlled trial to assess the effect of a tuina combined with specific therapeutic neck exercise modified protocol for NSCNP patients. This is a study protocol for a randomized, participant-, assessor- and analyst-blinded controlled trial. Eighty-eight eligible NSCNP patients will be randomly allocated into tuina combined with specific therapeutic neck exercise group (TSTE group) and tuina combined with sham therapeutic neck exercise group (TS group) in a ratio of 1:1. All participants will receive 8 treatment sessions applied in 4 weeks and then be followed up for another 12 weeks. Clinical data will be collected at baseline, during treatment phase (at the 2- and 4-week) and at the 8-, 12-, 16-week follow-ups. The primary outcome is the changes in neck pain intensity (visual analogue scale). The secondary outcomes include neck disability (Neck Disability Index), cervical range of motion (ROM), neck muscle endurance, cervical muscle cross-sectional area, cervical curvature and analgesic consumption. Adverse events will be collected and recorded throughout the study. We will discuss whether our tuina combined with specific therapeutic neck exercise modified protocol is more effective at improving pericervical muscle endurance, ROM, cervical muscle cross-sectional area and cervical curvature than tuina alone, thereby decreases neck pain and disability in individuals with NSCNP more effectively. Chinese Clinical Trials Registry, ChiCTR2300067903. Registered on 31 January 2023.

Design of Double 16_32 –Bit RISC Processor

Abstract: The SOCs built today offer a high level of functionality, serve a variety of applications, and improve in efficiency and cost. Embedded systems also face area and power consumption constraints in addition to real-time challenges. The main objective is to design and implement a 32-bit High-performance RISC (Reduced Instruction Set Computer) Processor architecture. The Processor is designed as an instantiation of submodules using Verilog HDL (Hardware Description Language). a 16-bit compatibility is introduced which makes use of the ISA to execute two 16bit operations at the same time and thus provides the capability to switch and execute both 32-bit and two 16-bit operations using the execution unit. The ISA is modified to meet the requirement to execute both 16-bit operation and 32-bit operations. Each of these instructions are independent of the other instruction and can be executed simultaneously. This enables the RISC based architecture to also enhance the speed of the design by a factor of 2 for 16 bit operations.

A Novel Hardware Architecture for Enhancing the Keccak Hash Function in FPGA Devices

Hash functions are an essential mechanism in today’s world of information security. It is common practice to utilize them for storing and verifying passwords, developing pseudo-random sequences, and deriving keys for various applications, including military, online commerce, banking, healthcare management, and the Internet of Things (IoT). Among the cryptographic hash algorithms, the Keccak hash function (also known as SHA-3) stands out for its excellent hardware performance and resistance to current cryptanalysis approaches compared to algorithms such as SHA-1 and SHA-2. However, there is always a need for hardware enhancements to increase the throughput rate and decrease area consumption. This study specifically focuses on enhancing the throughput rate of the Keccak hash algorithm by presenting a novel architecture that supplies efficient outcomes. This novel architecture achieved impressive throughput rates on Field-Programmable Gate Array (FPGA) devices with the Virtex-5, Virtex-6, and Virtex-7 models. The highest throughput rates obtained were 26.151 Gbps, 33.084 Gbps, and 38.043 Gbps, respectively. Additionally, the research paper includes a comparative analysis of the proposed approach with recently published methods and shows a throughput rate above 11.37% Gbps in Virtex-5, 10.49% Gbps in Virtex-6 and 11.47% Gbps in Virtex-7. This comparison allows for a comprehensive evaluation of the novel architecture’s performance and effectiveness in relation to existing methodologies.

An Ingenious Method for Detecting Harmful Alcohol Consumption in Restricted Areas

The paper objective is to outline our effort to decrease violations and increase driver safety. Alcohol sensor and an Arduino board were combined to create this project. The Arduino ATmega328 processor is capable of carrying out more operations than conventional microcontrollers. Using a sensor for alcohol Identification of the presence of alcohol in human breath is the aim of this study, MQ3. The sensor may be used with any vehicle and is easy to hide from suspects because its precise sensitivity range is only a few metres. This project is installed anywhere. The project is designed to ensure human security. When some people's drinking becomes excessive, it can have a negative impact on their interactions with others. Some people grow drunk and potentially loud and boisterous as they drink more. And because they are less inhibited, they may disregard boundaries, making people around them uncomfortable or even dangerous. This project is basically used for avoid these problems in public places by IOT technology. In this process whenever a drunken person enters through the detector placed entrance it will indicates and such new sense caused by drunken people can be avoided in public places such as theatres, school, colleges and places where family spend time. Here we are using Arduino boards through which codes can be uploaded and we are using an MQ-3 alcohol sensor and a buzzer. The alcohol sensor will sense the consumption of alcohol by a person when he enters and indicates to the buzzer and the buzzer will blow.

A Design and Investigation Inexact Compressor Based on Low Power Multiplier

To achieve low power consumption and high performance, an approximate multiplier is a commonly used operation. A new approximate computation method has been used for Error Tolerant Image Processing applications. This operation is popular in error tolerance applications. Inexact computing is applied to error-tolerant digital signal processing applications where error can be tolerated. Multiplier is the basic unit of arithmetic logic unit of any computer computational unit. In this paper, a new approximate compressor computation method is proposed for error-tolerant image processing applications. An approximate compressor has been designed for better output power with an improved figure of merit. A comparison of the proposed compressor with the previous 4:2 compressor design has been investigated and a reduction in area, delay and power consumption has been achieved. A similar algorithm has been applied to 8-bit multiplier applications which have considerable error performance. With the newly designed multiplier using a compressor, the simulation results compared the best power utilization. The results of designing the multiplier indicate that the proposed design of a multiplier using an approximate compressor achieves a reduction in power by 129[Formula: see text]mw.

An Efficient Design of Multiplier for Using in Nano-Scale IoT Systems Using Atomic Silicon

Because of recent technological developments, such as Internet of Things (IoT) devices, power consumption has become a major issue. Atomic silicon quantum dot (ASiQD) is one of the most impressive technologies for developing low-power processing circuits, which are critical for efficient transmission and power management in micro IoT devices. On the other hand, multipliers are essential computational circuits used in a wide range of digital circuits. Therefore, the multiplier design with a low occupied area and low energy consumption is the most critical expected goal in designing any micro IoT circuits. This paper introduces a low-power atomic silicon-based multiplier circuit for effective power management in the micro IoT. Based on this design, a 4×4-bit multiplier array with low power consumption and size is presented. The suggested circuit is also designed and validated using the SiQAD simulation tool. The proposed ASiQD-based circuit significantly reduces energy consumption and area consumed in the micro IoT compared to most recent designs.

Radiation hardened 11T memory cell for space applications

Continuous nanometer technology scaling, along with rapid growth in the field of artificial intelligence (AI), internet-of-things (IoT), and other high-performance computing applications increases the need for low power and soft error immune VLSI circuits. Conventional radiation hardened bit cell such as QUATRO10T with partial single event upset (SEU) immunity and bit cells such as DICE12T, WE-QUATRO12T, and RHD13T needs large area and power consumption. To address these problems, a soft error immune radiation hardened memory cell 11T (RHMC11T) static random-access memory (SRAM) bit cell is proposed which is immune to both SEU and single event multiple node upsets (SEMNU) along with good read and write stability. The enhancement in the key parameters of the proposed cell is confirmed by comparing the proposed bit cell with the conventional bit cells such as 6T, NS10T, PS10T, QUATRO10T, RHMD10T, RHBD10T, 11T, and 12T. The critical charge of the proposed RHMC11T is improved by 43%, 27%, 19%, 2%, 2%, and 4% while comparing with 6T, NS10T, PS10T, QUATRO10T, RHBD10T, and 11T. The proposed bit cell has higher SVNM of 49%, 19%, 11%, 8%, and 5% and smaller WTV of 50%, 33%, 23%, 18%, and 21% compared to 6T, PS10T, RHMD10T, RHBD10T, and 12T respectively. The proposed RHMC11T has lesser read access time of 63%, 50%, 46%, 6%, and 6% compared to NS10T, PS10T, QUATRO10T, RHMD10T, and 11T. The proposed RHMC11T bit cell with dedicated write and read word lines makes it applicable for bit interleaving architecture and also it satisfies reliability requirements making it a good choice for highly radiative terrestrial environment applications such as in aerospace and satellites.

End-use energy projections: Future regional disparity and energy poverty at the household level in rural and urban areas of India

Regional disparity and energy poverty are major challenges for India on a macro-scale. In this study we explored regional disparity and energy poverty in India's future by formulating a series of unique mathematical functions while analyzing historical time-series of per-capita energy consumption (PEC). The functions formulated have important implications on India's approaches towards rapid urbanization, access to clean energy, and rural electrification. We also analyzed end-use energy consumption in low, mid and high-developing states and examined the impacts of the uncertainty of socio-economic changes. As per our estimates, energy consumption in urban areas, is likely to grow by 3.6 times from 2010 to 2070, whereas that in rural areas is likely to decrease by 0.6 times. Energy poverty among Indian states narrows by 2050, while energy consumption in the mid and high-developing states rises rapidly as urbanization and per-capita income increase. Even with this consumption growth, India's average household PEC in 2070 may remain lower than the world average recorded in 2010. The provision of advanced energy resources and technologies is therefore likely to be an important policy challenge for India, especially in the rural areas of low-developing states, as the country pursues its target of reducing energy poverty and regional disparity.

Assessing the effects of internet technology use on rural households' cooking energy consumption: Evidence from China

The economic conditions of rural households have changed because the extensive usage of the Internet technology in rural China. Hence, according to micro-survey data from the China Family Panel Studies (CFPS) in 2014, 2016 and 2018, in this work we use the Probit model to experimentally examine the association between cooking energy usage and Internet technology use in Chinese rural households. Research results showed that Internet technology use can significantly and positively influences the choice of Households' clean cooking energy, and further mechanism analysis reveals that off-farm employment as a partly mediator between the use of the Internet and the clean energy consumed by households. In particular, we further examine the region and age differences in Internet technology use and its household cooking energy consumption consequences. The assessment of the Internet technology used by rural residents' heterogeneity indicates that in the eastern region or the younger and middle-aged group of rural residents can better use the Internet technology to realize the households’ cooking energy conversion. Therefore, in the context of global climate change and frequent catastrophic weather occurrences, we suggest that rural households should widely utilize the Internet, greatly expand off-farm employment channels, and accelerate the conversion and upgrading of cooking energy consumption in rural areas.

A 0.26 [formula omitted]Vrms instrumentation amplifier based on discrete-time DC servo loop with successive-approximation-compensation technique and Chopper DAC Array

A low-noise instrumentation amplifier for bio-signal recording is proposed in this paper. One of the significant disturbances, electrode DC offset, is suppressed using the proposed successive-approximation-compensation (SAC) circuit based on a discrete-time DC servo loop with Chopper DAC Array. Firstly, the DC offset at the output is quantified using the SAR quantizer. Next, the digital code produced by the SAR quantizer is used to control the chopper DAC array. Finally, a suitable compensation voltage is generated and used directly to correct the electrode DC offset at the input of the chopper amplifier. By using the proposed compensation technique, the first-stage chopper amplifier’s quiescent operating state is unaffected. When a 50-mV DC offset voltage exists at the differential input, the SAC circuit can compensate the DC offset voltage close to zero in a relatively short time. At the same time, there are fewer capacitors, which significantly decrease the area consumption. The proposed instrumentation amplifier is implemented in a standard 0.18μm CMOS process. The experiment results show that over a bandwidth from 0.1 Hz to 100 Hz, an input referred noise of 0.26 μVrms at the TT corner has been attained. The total power consumption is about 13.72 μW at the supply voltage of 1.8 V. The gain of the instrumentation amplifier is about 39.15 dB and its Noise Efficiency Factor (NEF) is 2.76.

Effect of intranasal oxytocin on palatable food consumption and c-Fos immunoreactivity in relevant brain areas in rats

Peripheral and central injections of oxytocin (OT) in laboratory animals decrease eating for energy and palatability, but the hypophagic response is dependent on the administration route. Human studies rely on intranasal (IN) administration of the peptide, the route underutilized in OT animal feeding studies thus far. Therefore, we examined the effect of IN OT on various aspects of food consumption in rats: (a) overnight deprivation-induced standard chow intake, (b) episodic (2-h) consumption of calorie-dense and palatable high-fat high-sugar (HFHS) chow, (c) 2-h episodic intake of palatable and calorie-dilute sucrose and Intralipid solutions, and (d) 2-h sucrose solution intake in rats habituated to ingesting this solution daily for several weeks. Finally, we assessed c-Fos changes in response to the acute IN OT administration in rats habituated to daily sugar consumption. We found that IN 20μg OT decreased deprivation-induced intake of standard chow and HFHS chow in nondeprived rats without affecting water consumption. IN OT also reduced 2-hour episodic fluid consumption of sucrose, but not Intralipid. In the habitual sugar consumption paradigm, acute IN OT diminished sucrose solution intake in animals accustomed to the 2-hour/day sucrose meal regimen. In rats habitually consuming sucrose, IN OT altered c-Fos immunoreactivity in brain areas related to energy homeostasis and reward, including the central nucleus of the amygdala, the hypothalamic paraventricular and the arcuate nuclei. We conclude that IN OT is an effective appetite suppressant for carbohydrate/sugar diets in rats and its effects involve feeding-related brain circuits.

Spread-Spectrum Modulated Multi-Channel Biosignal Acquisition Using a Shared Analog CMOS Front-End.

The key challenges in designing a multi-channel biosignal acquisition system for an ambulatory or invasive medical application with a high channel count are reducing the power consumption, area consumption and the outgoing wire count. This paper proposes a spread-spectrum modulated biosignal acquisition system using a shared amplifier and an analog-to-digital converter (ADC). We propose a design method to optimize a recording system for a given application based on the required SNR performance, number of inputs, and area. The proposed method is tested and validated on real pre-recorded atrial electrograms and achieves an average percentage root- mean-square difference (PRD) performance of 2.65% and 3.02% for sinus rhythm (SR) and atrial fibrillation (AF), respectively by using pseudo-random binary-sequence (PRBS) codes with a code-length of 511, for 16 inputs. We implement a 4-input spread-spectrum analog front-end in a 0.18 μm CMOS process to demonstrate the proposed approach. The analog front-end consists of a shared amplifier, a 2nd order Σ∆ ADC sampled at 7.8 MHz, used for digitization, and an on-chip 7-bit PRBS generator. It achieves a number-of-inputs to outgoing-wire ratio of 4:1 while consuming 23 μA/input including biasing from a 1.8 V power supply and 0.067 mm2 in area.

Arsenic Levels in Soil and Rice and Health Risk Assessment via Rice Consumption in Industrial Areas of East Java, Indonesia

Industrial use of arsenic can potentially cause environmental problems in water, soil, and air. Arsenic is one of heavy metals that is highly toxic and carcinogenic. Arsenic contamination in the environment is harmful to human health because it can enter the body through the food chain. This study determined the concentration of arsenic in soil and rice and its impact on human health risks. Sampling was carried out in several East Java industrial cities or districts, for instance, Gresik, Mojokerto, Sidoarjo, Nganjuk, Ponorogo, and Surabaya. The measurement of arsenic in soil was done using Energy Dispersive X-Ray fluorescence (EDXRF), while the measurement of arsenic in rice was done by Total X-Ray Fluorescence (TXRF). The results showed that arsenic concentration in several areas of East Java has varying levels. The concentration of arsenic in soil was highest in Gresik (13,786 mg/kg). The highest arsenic concentration in rice was found in Mojokerto (0.154 mg/kg). The results of risk assessment in this study showed that the Hazard Quotient (HQ) value was >1 and the Excess Cancer Risk (ECR) was >10-4 in all areas at the age of children <2 years. Health risk assessment of adults showed HQ>1 and ECR>10-4 in several areas of East Java. This indicates that consumption of rice contaminated with arsenic has the potential to pose non-carcinogenic and carcinogenic health risks.

A Low-Noise and Low-Power Multi-Channel ECG AFE Based on Orthogonal Current-Reuse Amplifier

This paper proposes a low-noise and low-power current-reuse analog front-end (AFE) for multi-channel electrocardiography (ECG) acquisition. A new low-power orthogonal recombination method is proposed in the four-channel current-reuse amplifier, which reduces the recombination current by half and cuts down the power supply voltage while ensuring the crosstalk suppression capability, resulting in a lower average channel power consumption. A four-order current-cancellation subthreshold-source-follower low-pass filter (CS-LPF) is proposed in this paper, which realizes the reduction of the chip area and power consumption by cross-coupling current cancellation technology. In addition, the input impedance boosting circuit, DC servo loop (DSL), and successive approximation register analog-to-digital converter (SAR-ADC) are designed in the proposed AFE, and it can record and quantify ECG signals. The presented AFE was implemented in a 65nm CMOS process, and the core area is 1.42mm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times$</tex-math> </inline-formula> 0.85mm. The measured results show that the proposed AFE has a variable gain of 40.5-56dB. The fully differential low-pass filter with a power consumption of only 4.8nW achieves 50% capacitance reduction. The average power consumption per channel of the proposed AFE is only 2.6 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu$</tex-math> </inline-formula> W, and the power efficiency factor (PEF) and noise efficiency factor (NEF) are 3.93 and 1.81 respectively.

Measurement and analysis of direct and indirect household energy consumption: a case study of China

Household energy consumption is one of the important indicators reflecting the economic development and living standard across countries. Using China’s classified household energy consumption and daily expenditure data from 2011 to 2019, this paper first calculated the overall direct and indirect household energy consumption in China in recent years by means of energy classification and consumer lifestyle analysis (CLA), and then analyzed the characteristics and changes of household energy consumption structure, and the different trends between urban and rural areas in China. We found that 1) Coal consumption occupied the first place in indirect energy consumption, followed by electricity. In terms of the overall trends, whether direct or indirect energy consumption, the proportion of coal was declining while those of electricity and natural gas were increasing year by year. 2) Indirect energy consumption accounted for the majority of the total, and the largest share of that was about housing consumption both in urban and rural areas. The changes in the indirect energy consumption structure of the urban and the rural were quite different. Compared with the indirect energy consumption of the rural, that of the urban showed both a faster growth rate and a larger share in the total indirect consumption, which reflected the inequality trend at present in energy consumption intensity and structure between urban and rural areas in China.

Inequality in electricity consumption and economic growth: Evidence from a small area estimation study.

Our study uses a small area estimation method to estimate the average and inequality of per capita kWh consumption for small areas in Vietnam. It shows evidence of a large spatial heterogeneity in the electric power consumption between districts and provinces in Vietnam. Households in the mountains and highlands consumed remarkably less electricity than those in the delta and coastal areas. Notably, we find a U-shaped relationship between the inequality of electricity consumption and economic levels in Vietnam. In poor districts and provinces, there is very high inequality in electricity consumption. Inequality is lower in middle-income districts and provinces.

A Methodology for Fault-tolerant Pareto-optimal Approximate Designs of FPGA-based Accelerators

Approximate Computing Techniques (ACTs) take advantage of resilience computing applications to trade off among output precision, area, power, and performance. ACTs can lead to significant gains at affordable costs when efficiently implemented on Field Programmable Gate Array– (FPGA) based accelerators. Although several novel ACTs works have been proposed for FPGA accelerators, their applicability to high-assurance systems has not been explored as much. ACTs are becoming necessary in many critical Edge computing systems, such as self-driving cars and Earth observation satellites, to increase computational efficiency. However, an important question comes to mind when targeting critical systems: Does ACT optimization negatively affect the reliability of the system and how can one find optimal design architectures that blend classic mitigation techniques like Triple Modular Redundancy with approximation- and precise-based arithmetic hardware units to achieve the best possible computational efficiency without compromising dependability? This work aims to solve this research problem by introducing a Design Space Exploration (DSE) methodology that employs ACTs in arithmetic units of the design and identifies Pareto-optimal microarchitectures that balance all relevant gains of ACTs, such as area, speed, power, failure rate, and precision, by inserting the correct amount of approximation in the design. In a nutshell, our DSE methodology has formulated the DSE with a Multi-Objective Optimization Problem (MOP). Each Pareto-optimal solution of our tool finds which arithmetic units of the design to implement with precise and approximate circuits and which units to selectively triplicate to remove single points of failure that compromise system reliability below acceptable thresholds. We also suggest another formulation of the DSE into a Single-Objective constraint Optimization Problem (ScOP) producing a single optimal point, and that the user may demand, as a less time-consuming alternative to the MOP if a complete Pareto-front is not needed. Our methodology generates fault-tolerant versions of the Pareto-optimal approximate designs (or simple optimized approximate designs if the ScOP choice is picked) by selectively applying mitigation techniques in a way that the overheads of redundant resources for fault-tolerance do not negate the gains of approximation in comparison to the fault-tolerant versions of the precise design. We evaluate our method on two FPGA-based accelerators: a JPEG encoder and an H.264/Advanced Video Coding decoder. Our experimental results show significant gains in area, frequency, and power consumption without compromising output quality and system reliability compared to classic solutions that replicate all or a part of the resources of the precise design to increase dependability metrics.

Forecast of natural gas consumption in 30 regions of China under dual carbon target.

Natural gas is an environmentally friendly and low-carbon clean energy. Its replacement of coal and other fossil energy sources will be important in China's carbon peaking and carbon neutrality goals. The Chinese government has also introduced many policies to encourage the development of natural gas. Therefore, it is of great significance to forecast the natural gas consumption. The grey prediction model has the unique advantage that it can perform well in the case of inadequate sample size. In this paper, the fractional cumulative grey model (FGM(1,1)) is used to forecast the natural gas consumption of 30 areas (provinces, cities, and autonomous regions) in China from 2022 to 2030. According to the reasonable forecast results, except for a few special areas, the consumption in other areas of China will continue to rise in recent years. By analyzing the results, it can also be clearly concluded that the natural gas consumption has regional characteristics. The consumption in 19 regions shows a rapid growth trend, 8 regions show a steady growth trend, and 3 regions show a downward trend. The prediction results and analysis will provide some reference for different regions to formulate natural gas-related policies.