Evaluation Of Power Consumption Research Articles

Влияние фактического питания и энерготрат на физическое развитие, компонентный состав тела и формирование питательного статуса студенток 18–20 лет с синдромом избыточной массы тела

The aim of the study is to study the characteristics of the influence of actual nutrition and energy consumption among young girls on the emergence and development of overweight and obesity. Materials and methods . We carried out the study on the basis of the Medical Institute of Derzhavin Tambov State University. We examined 236 girls aged 18-22; studied somatometric features of physical development, body weight components; evaluated physique, actual nutrition and energy consumption. The somatometric program included the determination of 25 signs measured according to the standard method using the automated complex CMD “Healthy Child” (TVES Russia). The diagnosis of overweight syndrome, which included overweight and obese girls, was performed by body mass index. Evaluation of actual power supply and power consumption was carried out by frequency method with subsequent application of computer program “Analysis of human power supply condition” (version 1.2.4) of State Department of Scientific and Research Institute of Power Supply of RAMN. Statistical results were processed using SPSS Statistics (version 17.0). We assessed the accuracy of the differences using the Student and Mann-Whitney criteria. Results . Among girls with overweight syndrome there is a reliable increase in body weight due to fat, preferential subcutaneous and a decrease in the relative value of skinny body weight and muscle weight. Their daily energy rates did not differ from the level of control, but they spent 1 less energy per 1 kg of body weight. The calorie content and chemical composition of the diet of girls with overweight syndrome was mostly not reliably different from female students with normal body weight. Odeveloped under normostenic and hypersthenic physique types. Discussion . Energy consumption, including physical load, is a factor of overweight syndrome formation among female students and anthropometric signs of this syndrome should control its application.

Computational Power Evaluation for Energy-Constrained Wireless Communications Systems

Estimating the power consumption and computational complexity of various digital signal processing (DSP) algorithms used in wireless communications systems is critical to assess the feasibility of implementing such algorithms in hardware, and for designing energy-constrained communications systems. Therefore, this paper presents a novel approach, based on practical system measurements using field programmable gate array (FPGA) and application-specific integrated circuit (ASIC), to evaluate the power consumption and the associated computational complexity of the most common mathematical operations performed within various DSP algorithms. Using the proposed approach, a new metric is developed for mapping the computational complexity to the computational power consumed by the mathematical operation in wireless transceivers. This allows combining the commonly used computational complexity metrics that are typically computed for each mathematical operation separately. Consequently, a single unified metric can be used to describe the entire algorithm. Therefore, the comparison and trade-offs between different algorithms become easier and more informative. The developed approach is used to evaluate the computational power of several DSP algorithms used in wireless communications systems, and perform thorough computational complexity comparisons. The obtained results reveal that computational complexity comparisons using different mathematical operations can be highly misleading in several scenarios. The power consumption evaluation of the considered DSP algorithms show that some algorithms may require a prohibitively high power, which makes such algorithms unsuitable for power-constrained wireless communications systems. The results also show that the proposed methodology can be adopted for various hardware implementation, however, some calibration might be required based on the adopted platform.

Grinders for processing mineral raw materials

The paper substantiates the importance of increasing the crop yield on cultivated areas through improving soil fertility with the use of innovative grinding equipment that enables preparing mineral materials and caked fertilizers. There is a review of advanced engineering solutions that provide the enhancement of grinding process and reduce energy consumption. The paper presents the results of evaluation of power consumption when grinding inorganic material in the mill with indifferent group that confirm the possibility of efficient use of power, which is basically costless, for improving the energy efficiency of grinding.

Low-Power Hardware Implementation of a Support Vector Machine Training and Classification for Neural Seizure Detection.

In this paper, a low power support vector machine (SVM) training, feature extraction, and classification algorithm are hardware implemented in a neural seizure detection application. The training algorithm used is the sequential minimal optimization (SMO) algorithm. The system is implemented on different platforms: such as field programmable gate array (FPGA), Xilinx Virtex-7 and application specific integrated circuit (ASIC) using hardware-calibrated UMC 65nm CMOS technology. The implemented training hardware is introduced as an accelerator intellectual property (IP), especially in the case of large number of training sets, such as neural seizure detection. Feature extraction and classification blocks are implemented to achieve the best trade-off between sensitivity and power consumption. The proposed seizure detection system achieves a sensitivity around 96.77% when tested with the implemented linear kernel classifier. A power consumption evaluation is performed on both the ASIC and FPGA platforms showing that the ASIC power consumption is improved by a factor of 2X when compared with the FPGA counterpart.

SRNoC: An Ultra-Fast Configurable FPGA-Based NoC Simulator Using Switch–Router Architecture

Network-on-chip (NoC) has become one of the most common interconnection architectures to integrate multicore system. However, the performance, hardware costs, and power consumption of NoC are sensitive to many parameters, such as topology, the number and depth of virtual channels (VCs), routing algorithms, and flow control mechanisms. In order to find the best NoC solution for different applications, a fast and flexible NoC simulator is necessary. In this article, we present an ultrafast field programmable gate array (FPGA)-based NoC simulator called SRNoC, which is able to be configured via host on PC. In SRNoC, we proposed switch–router architecture and virtual boundary technology. Switch–router is an architecture which makes SRNoC support irregular or custom NoC topology by configuring the NoC topology in hardware. Virtual boundary is a novel configurable virtualization mechanism which can store boundary traffic and use the stored boundary traffic to simulate large NoC in virtualized mode. By employing the switch–router architecture and virtual boundary, SRNoC demonstrates <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$45\times -3077\times $ </tex-math></inline-formula> speed-up against Booksim and maintains the same level of simulation accuracy. This simulator has three main advantages: 1) configured switch–router can support irregular and custom topologies in a nonvirtualized mode; 2) virtual boundary can improve the simulation speed in virtualized mode, effectively; and 3) embedded models can provide evaluation of packet latency, power consumption, and temperature distribution. Due to the switch–router architecture and virtual boundary, SRNoC can simulate a 30-node ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$5\times 6$ </tex-math></inline-formula> ) NoC in nonvirtualized mode and 3072-node ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$64\times 48$ </tex-math></inline-formula> ) in virtualized mode on a Xilinx Virtex-7 FPGA.

Evaluation of Device Cost, Power Consumption, and Network Performance in Spatially and Spectrally Flexible SDM Optical Networks

To keep pace with the rapidly increasing network traffic demand anticipated in the coming years, space-division multiplexing (SDM) has become a promising technology for overcoming the limitations of the current wavelength-division multiplexing based optical networks. The key advantage of SDM-based optical transmission is that it increases the network capacity by extending the available spatial dimensions. In this context, several innovative technologies have been proposed to support spatially and spectrally flexible all-optical transmission. One typical technology of this kind is called spatial and spectral super-channel (Spa & Spe SpCh) transmission. Newly designed Spa & Spe SpCh transceivers can support high-speed transmission with excellent spectral efficiency by allowing the optical carriers to be flexibly distributed in both the spatial and spectral domains without guardbands. In addition, SDM-based reconfigurable optical add/drop multiplexers (ROADMs) with varying spatial switching granularities and add/drop ports have been developed to support super-channel transmission (e.g., routing and add/drop). Moreover, ROADMs with spatial lane change support, which can further improve the routing flexibility in the network layer, have also been proposed in recent years. Different modes of implementation of the aforementioned technologies have distinct advantages and disadvantages. These technologies can be combined in various ways to support different types of SDM transmission, leading to variable network performance. In this paper, we evaluate the device cost, power consumption, and network performance of SDM transmission systems based on different implementations of these technologies to serve as a reference for future research.

Optimal power management for nanogrids based on technical information of electric appliances

A novel power management for nanogrids is presented. In this paper, effect of resident location in residence is taken into account for evaluation of power consumption in nanogrids. Depending on the resident location, operating conditions of heater, ventilation fan, and air-conditioner are adjusted. Electric appliances that allow delayed use, i.e., shiftable, are scheduled for efficient power management. Considering massive deployment of energy storage system (ESS) as a supplementary power source, effect of the ESS on power management is investigated. Demand response program for reduced electricity cost is also considered for power management. As a result, an objective consisting of power consumed by non-shiftable and shiftable electric appliances, power supplied/consumed by the ESS during discharging/charging, and time-varying electricity cost is formulated. Another objective for power management is a function of delays in scheduling of shiftable electric appliances. Variation of resident location combined with temporal use of electric appliances according to the resident location are considered as the resident behavior and incorporated into these two objectives. Using these two objectives, a multi-objective optimization is performed for nanogrids at each time interval. It is demonstrated by simulations that leveraging resident behavior is beneficial for power management of nanogrids. In addition, effects of the number of residents in each apartment and combined activity of each resident on the power management are presented with related simulation results.

Characterization, modeling and scheduling of power consumption of scientific computing applications in multicores

This article presents an empirical evaluation of power consumption for scientific computing applications in multicore systems. Three types of applications are studied, in single and combined executions on Intel and AMD servers, for evaluating the overall power consumption of each application. The main results indicate that power consumption behavior has a strong dependency with the type of application. Additional performance analysis shows that the best load of the server regarding energy efficiency depends on the type of the applications, with efficiency decreasing in heavily loaded situations. These results allow formulating a model to characterize applications according to power consumption, efficiency, and resource sharing, which provide useful information for resource management and scheduling policies. Several scheduling strategies are evaluated using the proposed energy model over realistic scientific computing workloads. Results confirm that strategies that maximize host utilization provide the best energy efficiency and performance results.

Влияние фактического питания, энерготрат, соматотипа на формирование синдрома белково-энергетической недостаточности у тамбовских студенток в возрасте 18-22 лет

The purpose of the study: to study the peculiarities of the influence of nutrition, energotrate, somatotype on the formation of anthropometric syndrome protein-energy insufficiency (SPEI) among female students. Material and methods: we examined 236 girls at the age of 18-22. We studied anthropometric features of physical development, body weight components, actual nutrition and energy resources. We evaluated the 25 of somatometric signs measured using the automated complex «Healthy Child» (TVES, Russia). Diagnosis of SBEN syndrome happened by body-weight index (BWI). We carried out evaluation of actual power supply and power consumption by frequency method with subsequent application of computer program «Analysis of human power supply condition» (version 1.2.4) of Scientific Research Institute of Nutrition. Results: girls with SPEI have significantly reduced morphological status, including component composition of body weight, compared to the control group. Girls with SPEI have a decrease in daily energy consumption against the background of similar levels of energy value of diets and consumption of basic nutrients compared to the control group. One of the main factors in the formation of girls' SPEI is constitutional: 95.6 % of them are asthenics. Discussion: Energy consumption, including physical load, and nutrition are regulated factors of formation of female students' SPEI and somatometric signs of this syndrome should control their usage. Whereas hereditary factors determine somatotype and the mechanisms of its influence on physical development require in-depth study.

Evaluation of power consumption and MRR in WEDM of Ti–6Al–4V alloy and its simultaneous optimization for sustainable production

Ti–6Al–4V is a popular titanium alloy, finding wide application mainly in aerospace and biomedical applications. Due to its high strength and toughness, wire cut electrical discharge machining (WEDM) is used for macro- and micro-machining of these materials. In this work, WEDM experiments on Ti–6Al–4V are conducted using Taguchi L16 OA with four process parameters, viz. pulse on time (Ton 13, 20, 27, 34 µs), pulse off time (Toff 4, 6, 8, 10 µs), current or applied current (I 1, 2, 4, 5 A) and wire speed (WS 350, 700, 1050, 1400 rpm). The novelty of this work is to evaluate two important sustainable measures, i.e., material removal rate (MRR) for economic concern and power consumption (PC) for environmental concern, in the production of WEDM components. The machining process cycle of WEDM process is described step by step. The power consumption during machining is evaluated by measuring line current using digital clamp meter. Regression models developed were found to be highly accurate with model accuracy of 98.34 and 94.03% for PC and MRR, respectively. Experimental investigation shows that I and Toff are found to be significant factors influencing MRR and PC. Parametric variation of response surface of MRR and PC is also studied using surface plots. SEM images of the machined surface at cutting conditions corresponding to maximum MRR and minimum PC are also studied. Desirability function analysis (DFA) is employed to simultaneously optimize the responses. The process parameters are optimized using DFA, and results show an improvement in composite desirability (CD) by 7.88% at optimum parameter setting of Ton 20 µs, Toff 6 µs, I 2 A and WS 1050 rpm. The performance measures at optimum parameter show improvement of 9.77 and 6.40% for MRR and PC, respectively.

Models for availability and power consumption evaluation of a private cloud with VMM rejuvenation enabled by VM Live Migration

Software aging affects the availability of Virtual Machine Monitor (VMM), one of the main components of virtualized environments. Software aging causes internal software degradation due to bugs activation and accumulation during its execution. Software rejuvenation implemented through Virtual Machine (VM) Live Migration may be applied to cope with software aging effects on cloud computing system. Another relevant problem is the power consumption of using software rejuvenation techniques in the virtualized environments. This paper presents availability models based on Stochastic Petri Nets to evaluate two VM Live Migration approaches. These approaches are based on the redundancy schemes: Warm-Standby and Cold-Standby. In the Cold-Standby migration, the migration target machine is started only before the VM Live Migration. In the Warm-Standby Migration, the migration target machine runs along with the source migration machine. Results show that VM Live Migration causes a significant improvement in system availability. Scenarios with a heavy workload present an annual downtime reduction of 164 h. The availability comparison between two approaches reveals that the Cold-Standby approach has a slightly better result due to the decrease in the total number of VM Live Migrations. The power consumption results show that Cold-Standby approach is more efficient in power consumption. In all the observed scenarios, the costs savings by using Cold-Standby approach exceed 40%. The highlights of this paper are: i) a comprehensive model for availability evaluation of cloud computing with VMM rejuvenation through VM migration scheduling; ii) sensitivity analysis to define proper rejuvenation scheduling to maximize system availability and iii) power consumption comparison of the two adopted migration approaches.

Software randomness analysis and evaluation of lightweight ciphers: the prospective for IoT security

In the past few years, various lightweight cryptographic algorithms have been proposed to balance the trade-offs between the requirements of resource constrained IoT devices and the need to securely transmit and protect data. However, it is critical to analyze and evaluate these algorithms to examine their capabilities. This paper provides a thorough investigation of the randomness of ciphertext obtained from Simeck, Kasumi, DES and AES. The design of our randomness analysis is based on five metrics implemented following the guidance of the NIST statistical test suite for cryptographic applications. This analysis also provides performance and power consumption evaluations for the selected cryptographic algorithms using different platforms and measures. Results from the evaluation reveal that lightweight algorithms have competitive randomness levels, lower processing time and lower power consumption when compared to conventional algorithms.

Integrated Evaluation of Reliability and Power Consumption of Wireless Sensor Networks.

Power consumption is a primary interest in Wireless Sensor Networks (WSNs), and a large number of strategies have been proposed to evaluate it. However, those approaches usually neither consider reliability issues nor the power consumption of applications executing in the network. A central concern is the lack of consolidated solutions that enable us to evaluate the power consumption of applications and the network stack also considering their reliabilities. To solve this problem, we introduce a fully automatic solution to design power consumption aware WSN applications and communication protocols. The solution presented in this paper comprises a methodology to evaluate the power consumption based on the integration of formal models, a set of power consumption and reliability models, a sensitivity analysis strategy to select WSN configurations and a toolbox named EDEN to fully support the proposed methodology. This solution allows accurately estimating the power consumption of WSN applications and the network stack in an automated way.

Flavored Drink Production Using Broken Rice: Evaluation of Physical-Chemical Properties and Power Consumption of Industrial Stirring System

The industrial rice processing generates, in average, 14% of broken grains called grits, which are not well accepted by consumers, representing large economic loss. Researches have been conducted to increase the use of rice by-products as well as their benefit. Among them, beverages are attracting the attention, being develop. To contribute to this field, this study aimed to prepare a non-alcoholic flavored drink from rice grits; evaluate the physical-chemical properties and evaluate de power consumption of stirring system for the drink industrial production. The drink production involved the cooking of the rice grits, followed by crushing, homogenization, filtration and flavorization in a stirring tank, obtaining the final product for consumption. The power consumption calculation for mixing tanks was evaluated in three different situations at 25ºC, considering the pre-defined tank design and the drink characteristics. Results based on the physicochemical characteristics indicate that the rice flavored drink is a food alternative to substitute milk or soy extract drinks. On the industrial production aspects, the increasing in the consumed energy to the small stirring variations was observed, and it needs to be considered to the stirring equipment design in the industrial process.

GPU Implementation of Bitplane Coding with Parallel Coefficient Processing for High Performance Image Compression

The fast compression of images is a requisite in many applications like TV production, teleconferencing, or digital cinema. Many of the algorithms employed in current image compression standards are inherently sequential. High performance implementations of such algorithms often require specialized hardware like field integrated gate arrays. Graphics Processing Units (GPUs) do not commonly achieve high performance on these algorithms because they do not exhibit fine-grain parallelism. Our previous work introduced a new core algorithm for wavelet-based image coding systems. It is tailored for massive parallel architectures. It is called bitplane coding with parallel coefficient processing (BPC-PaCo). This paper introduces the first high performance, GPU-based implementation of BPC-PaCo. A detailed analysis of the algorithm aids its implementation in the GPU. The main insights behind the proposed codec are an efficient thread-to-data mapping, a smart memory management, and the use of efficient cooperation mechanisms to enable inter-thread communication. Experimental results indicate that the proposed implementation matches the requirements for high resolution (4 K) digital cinema in real time, yielding speedups of 30 $\times$ with respect to the fastest implementations of current compression standards. Also, a power consumption evaluation shows that our implementation consumes 40 $\times$ less energy for equivalent performance than state-of-the-art methods.

Embedded System for Prosthetic Control Using Implanted Neuromuscular Interfaces Accessed Via an Osseointegrated Implant.

Despite the technological progress in robotics achieved in the last decades, prosthetic limbs still lack functionality, reliability, and comfort. Recently, an implanted neuromusculoskeletal interface built upon osseointegration was developed and tested in humans, namely the Osseointegrated Human-Machine Gateway. Here, we present an embedded system to exploit the advantages of this technology. Our artificial limb controller allows for bioelectric signals acquisition, processing, decoding of motor intent, prosthetic control, and sensory feedback. It includes a neurostimulator to provide direct neural feedback based on sensory information. The system was validated using real-time tasks characterization, power consumption evaluation, and myoelectric pattern recognition performance. Functionality was proven in a first pilot patient from whom results of daily usage were obtained. The system was designed to be reliably used in activities of daily living, as well as a research platform to monitor prosthesis usage and training, machine-learning-based control algorithms, and neural stimulation paradigms.

Suitability of Demand Response Program Equipped with Solar Energy in UTHM

Demand Response Program (DRP) is a program developed in western country to cater high load demand. This system enhance the quality of the current smart grid system. This program encourage two-ways interaction between the consumer and the utility provider. The consumers are required to reduce their load consumption upon request by the utility provider, thus avoiding them from paying for the high load demand. However, the current design of DRP is seem to put the user at disadvantages. Thus, deployment of the new practice equipped with renewable energy sources will make the system more user- friendly. As DRP prove to be beneficial in many terms, this project is conducted to find DRP relevancy to be implemented in Universiti Tun Hussein Onn Malaysia (UTHM). According to the electrical consumption data disclosed by Facility Management Division, the power consumed by UTHM is remarkably high especially during 11.00 am to 12.00 pm. Thus, DRP is being proposed to be put into practise during this period. Nonetheless, it is not economically wise to implement the program to the whole campus. Therefore, three buildings with the most power consumption had been chosen for this study. They are the library, Faculty of Civil and Environmental Engineering (FKAAS) building and Faculty of Technology and Vocational Education (FPTV) building. The building power consumption and economic evaluation had been analysed using HOMER simulation. From the analysis, the combination of FPTV and FKAAS had been chosen for DRP implementation. The reason are, these buildings have superiority over the library in term of reliability and effectiveness. In terms of economy, it is almost equivalent to each other.

Power consumption evaluation of different fed-batch strategies for enzymatic hydrolysis of sugarcane bagasse.

The minimization of costs in the distillation step of lignocellulosic ethanol production requires the use of a high solids loading during the enzymatic hydrolysis to obtain a more concentrated glucose liquor. However, this increase in biomass can lead to problems including increased mass and heat transfer resistance, decreased cellulose conversion, and increased apparent viscosity with the associated increase in power consumption. The use of fed-batch operation offers a promising way to circumvent these problems. In this study, one batch and four fed-batch strategies for solids and/or enzyme feeding during the enzymatic hydrolysis of sugarcane bagasse were evaluated. Determinations of glucose concentration, power consumption, and apparent viscosity were made throughout the experiments, and the different strategies were compared in terms of energy efficiency (mass of glucose produced according to the energy consumed). The best energy efficiency was obtained for the strategy in which substrate and enzyme were added simultaneously (0.35 kg(glucose) kWh⁻¹). This value was 52% higher than obtained in batch operation.

Evaluation of Surface Roughness and Power Consumption in Machining FCD 450 Cast Iron using Coated and Uncoated Irregular Milling Tools

In this project, the effects of different cutting parameters on surface roughness and power consumption when machining FCD450 cast iron were studied using coated and uncoated irregular milling tool geometry of variable helix and pitch. Their responses on roughness and power consumption were evaluated based on the spindle speed, feed rate, and depth of cut, machining length and machining time. Results showed that except spindle speed and machining length, other parameters such as feed rate, axial and radial depth of cut and also machining time proportionate with surface roughness. The power consumption proportionately increase for all cutting parameters except feedrate. It is showed that the average decrement 27.92 percent for surface roughness and average decrement 9.32 percent for power consumption by using coated compared to uncoated tool. Optimum cutting parameters for both minimum surface roughness and power consumption can be determined. The coated tools performed better than uncoated milling tools for responses of surface roughness and power consumption to increase machining productivity and profit.

Energy efficiency analysis of hybrid-ARQ relay-assisted schemes in LTE-based systems

This work deals with the analysis of energy efficiency (EE) issues of hybrid automatic repeat request (HARQ) protocols such as Chase combining (CC) and incremental redundancy (IR), in a LTE baseband-based half-division duplex relay-assisted network. The EE performance is highly dependent on delay and circuitry power consumption, i.e., baseband and radio-frequency (RF) parts, and the effects of these components are investigated for amplify and forward (AF) and decode and forward (DF) protocols. Moreover, a realistic estimation of the baseband power consumption is provided. Our contributions in this paper can be summarized as follows: (1) an accurate estimation of power consumption of the main blocks of the LTE baseband is provided based on a real field-programmable gate array (FPGA) target and is integrated to a global energy consumption model (2) based on the previous power consumption evaluation; energy-efficiencies of DF protocol with HARQ-CC and HARQ-IR are investigated with various modulation orders; in addition, a quite insightful study of the energy efficiency-spectral efficiency trade-off is conducted, and (3) DF and AF protocols with HARQ are compared in terms of EE, and recommendations are suggested in order to jointly enhance the QoS and the energy efficiency of wireless systems.