Analisis Kinerja Website Dinas Komunikasi dan Informatika Menggunakan Metode Pieces

The Diskominfo website is a means of communication to convey various information to the wider community. The existence of a website helps at the same time cover up the government's limitations in the dissemination of various information so that the public does not experience information gaps. This website is analyzed using the Pieces method such as performance, information, economic, control, efficiency, and service by testing using the GT Matrik Tools and Google Transparency Report, while the test results obtained after the analysis are obtained that the average page speed grade is 27%. or in grade F. This means that the quality of the Diskominfo website based on the index generated by Google is still very low, the same thing is also produced by YSlow Grade from Yahoo where the average YSlow Grade is 66% or grade D. The low quality of the web will certainly affect website performance. While testing based on the results of control measurements, the Diskominfo website is safe for public visits. The Diskominfo website has good efficiency, because the existing system can be used properly and can also produce the expected output. In the analysis measurement results, the menu structure that is built can be seen from its initial purpose, which is to provide services to the community, however, this service is still not optimal because the content of the service is not well filled. D. Rendahnya kualitas web tersebut tentu akan mempengaruhi kinerja website. Sedangkan pengujian Berdasarkan hasil pengukuran control, website Diskominfo aman untuk dikunjungi oleh masyarakat. Website Diskominfo telah memiliki efisiensi yang baik, karena sistem yang ada telah dapat digunakan dengan baik dan juga dapat menghasilkan output yang diharapkan. Pada hasil pengukuran analisis bahwa struktur menu yang dibangun dapat dilihat tujuan awalnya yaitu dapat memberikan pelayanan kepada masyarakat, Akan tetapi pelayanan ini masih belum maksimal dikarenakan konten pelayanan belum banyak terisi dengan baik.

Speed Grade Evaluation of Public-Transportation Lines Based on an Improved T-S Fuzzy Neural Network

This paper proposes an evaluation method based on a T-S fuzzy neural network for evaluating the speed grade of public-transport lines in the context of large-scale rail-transit planning and construction in Hangzhou. The six-dimensional data of morning peak/evening peak average speed, average speed at peak, average station distance, proportion of dedicated lanes, and nonlinear coefficients were selected as input data for the neural network to output the operating speed grade of bus lines. Improving and optimizing the membership function of the Takagi–Sugeno (T-S) model improves its predicted result accuracy compared to a traditional T-S model. The line data of 28 typical trunk lines or expressways in Hangzhou were used as an example; the results demonstrate that the speed grade evaluation method based on an improved T-S fuzzy neural network can effectively and quickly evaluate the speed grade of Hangzhou public-transportation lines. This paper presents a novel analysis and method for large-scale rail-transit planning and evaluation of urban public-transport lines. The aim is to provide practical instruction for the subsequent optimization of public-transportation lines in Hangzhou.

Estimation of Energy Expenditure of Nordic Walking: A Crossover Trial

Background: Nordic walking (NW) requires more energy compared with conventional walking (W). However, the metabolic equation for NW has not been reported. Therefore, this study aimed to characterize responses in oxygen uptake (V̇O2), minute ventilation (V̇E), heart rate (HR), systolic blood pressure (SBP), and surface electromyography (sEMG) of the upper and lower limb muscles during NW and W and to develop a metabolic equation for energy expenditure (E) of NW.Methods: Fifty healthy young men constituted our sample (aged 23.7 ± 3.0 years). Two randomly assigned walking tests (NW and W) on a treadmill at a predetermined stepwise incremental walking speed (3–5 km·h-1) and grade (0%–7%). The V̇O2, V̇E, HR, and SBP were measured. The sEMG signals of the three upper limb muscles and three lower limb muscles in their right body were recorded. Linear regression analysis was used to draw estimation of EE during W and NW.Results: V̇O2 (+15.8%), V̇E (+17.0%), RR (+18.2%), HR (+8.4%), and SBP (+7.7%) were higher in NW than in W. NW resulted in increased muscle activity in all of the upper limb muscles (P<.05). In the lower limb, sEMG activities in two of the three lower limb muscles were increased in NW than in W only during level walking (P<.05). EE during W and NW was estimated as follows: EW = 4.4 + 0.09 × speed + 1.20 × speed × grade; ENW = 6.1 + 0.09 × speed + 1.19 × speed × grade.Conclusion: NW showed higher work intensity than W, with an oxygen consumption difference of 1.7 mL·kg-1·min-1. The coefficients were not different between the two walking methods. NW involved more muscles of the upper body than W.

Complex Multipliers:Implementation using Efficient Algorithms for Signal Processing Application

The research efforts in low power electronic devices and the cellular networks has been strengthened with the continuous growth in mobile and portable systems . In the modern era there are various portable applications that needs low power(smaller & efficient battery) and higher mili ampere hour then before. Due to this, design of low power devices has now become a significant Performance criteria. While considering the elementary structure of Finite impulse Response Filter, that is the arrangement of multipliers(which is a systematic arrangements of adders) and dely. This manuscript represents the simulation , implementation & analysis report for performance evaluation to minimize delay & RAM consumption during calculation procedure. In this manuscript, we have coded , simulated & implemented selected multipliers such as Vedic, Wallace, Dadda, Booth, Array & Sequential multiplier. Comparative analysis has been done using Xylinx 14.4 with family Spartan6, device as xc6slx45, package csg324 with speed grade of -3 for bit length 2,4,8,16 & 32 using Wallace, dada, Sequential, array, Vedic & Booth Algorithm respectively.

Enhanced 32-Bit Adder Implementation using Different Configurations of Adders

Adders play a essential role with in the digital signal process systems. The 32-bit configuration is commonly used in few computerized systems and processors. In this paper, detail study about the implementation of 32-bit adders like Ripple Carry Adder (RCA), Carry Select adder (CSLA) and Carry Increment adder (CINA) is done for various configurational full adders using VHDL. The outcomes are acquired by executing VHDL in Xilinx ISE 14.5 with speed grade -5 of Spartan 3E family device.

Performance Analysis of Leakage Current Reduction in Standby Mode of Zigbee SoC Using Active Mode Logic

Zigbee SoC plays an important role in transferring and receiving the data in wireless sensor networks for its data security and high speed grade. The active mode of Zigbee SoC consumes power from power supply directly and standby mode of Zigbee SoC consumes no power from the power supply unit. There may be a leakage current in standby mode of the circuit which further linearly degrades the performance of the Zigbee SoC. This paper proposes a low power and high efficient active mode logic of the power gating methodology in Zigbee SoC to reduce the leakage current. The circuit in proposed Zigbee SoC has less number of transistors than the conventional methodology and hence the proposed system has low delay as 2.29 * 10–8 ms.

Walking economy is predictably determined by speed, grade, and gravitational load

The metabolic energy that human walking requires can vary by more than 10-fold, depending on the speed, surface gradient, and load carried. Although the mechanical factors determining economy are generally considered to be numerous and complex, we tested a minimum mechanics hypothesis that only three variables are needed for broad, accurate prediction: speed, surface grade, and total gravitational load. We first measured steady-state rates of oxygen uptake in 20 healthy adult subjects during unloaded treadmill trials from 0.4 to 1.6 m/s on six gradients: −6, −3, 0, 3, 6, and 9°. Next, we tested a second set of 20 subjects under three torso-loading conditions (no-load, +18, and +31% body weight) at speeds from 0.6 to 1.4 m/s on the same six gradients. Metabolic rates spanned a 14-fold range from supine rest to the greatest single-trial walking mean (3.1 ± 0.1 to 43.3 ± 0.5 ml O2·kg-body−1·min−1, respectively). As theorized, the walking portion (V̇o2-walk = V̇o2-gross – V̇o2-supine-rest) of the body’s gross metabolic rate increased in direct proportion to load and largely in accordance with support force requirements across both speed and grade. Consequently, a single minimum-mechanics equation was derived from the data of 10 unloaded-condition subjects to predict the pooled mass-specific economy (V̇o2-gross, ml O2·kg-body + load−1·min−1) of all the remaining loaded and unloaded trials combined ( n = 1,412 trials from 90 speed/grade/load conditions). The accuracy of prediction achieved ( r2 = 0.99, SEE = 1.06 ml O2·kg−1·min−1) leads us to conclude that human walking economy is predictably determined by the minimum mechanical requirements present across a broad range of conditions. NEW & NOTEWORTHY Introduced is a “minimum mechanics” model that predicts human walking economy across a broad range of conditions from only three variables: speed, surface grade, and body-plus-load mass. The derivation/validation data set includes steady-state loaded and unloaded walking trials ( n = 3,414) that span a fourfold range of walking speeds on each of six different surface gradients (−6 to +9°). The accuracy of our minimum mechanics model ( r2 = 0.99; SEE = 1.06 ml O2·kg−1·min−1) appreciably exceeds that of currently used standards.

Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver

The objective of this study was to assess the accuracy of using speed and grade data obtained from a low-cost global positioning system (GPS) receiver to estimate metabolic rate (MR) during level and uphill outdoor walking. Thirty young, healthy adults performed randomized outdoor walking for 6-min periods at 2.0, 3.5, and 5.0 km/h and on three different grades: 1) level walking, 2) uphill walking on a 3.7% mean grade, and 3) uphill walking on a 10.8% mean grade. The reference MR [metabolic equivalents (METs) and oxygen uptake (V̇o2)] values were obtained using a portable metabolic system. The speed and grade were obtained using a low-cost GPS receiver (1-Hz recording). The GPS grade (Δ altitude/distance walked) was calculated using both uncorrected GPS altitude data and GPS altitude data corrected with map projection software. The accuracy of predictions using reference speed and grade (actual[SPEED/GRADE]) data was high [ R2 = 0.85, root-mean-square error (RMSE) = 0.68 MET]. The accuracy decreased when GPS speed and uncorrected grade (GPS[UNCORRECTED]) data were used, although it remained substantial ( R2 = 0.66, RMSE = 1.00 MET). The accuracy was greatly improved when the GPS speed and corrected grade (GPS[CORRECTED]) data were used ( R2 = 0.82, RMSE = 0.79 MET). Published predictive equations for walking MR were also cross-validated using actual or GPS speed and grade data when appropriate. The prediction accuracy was very close when either actual[SPEED/GRADE] values or GPS[CORRECTED] values (for level and uphill combined) or GPS speed values (for level walking only) were used. These results offer promising research and clinical applications related to the assessment of energy expenditure during free-living walking.