Performance Analysis of QoS in PMP Mode WiMax Networks

IEEE 802.16 standard supports two different topologies: point to multipoint (PMP) and Mesh. In this paper, a QoS mechanism for point to multipoint of IEEE 802.16 and BS scheduler for PMP Mode is proposed. This paper also describes quality of service over WiMAX networks. Average WiMAX delay, Average WiMAX load and Average WiMAX throughput at base station is analyzed and compared by applying different scheduler at Base station and at fixed nodes

Performance Analysis of QoS in PMP Mode WiMax Networks

IEEE 802 16 standard supports two different topologies point to multipoint PMP and Mesh In this paper a QoS mechanism for point to multipoint of IEEE 802 16 and BS scheduler for PMP Mode is proposed This paper also describes quality of service over WiMAX networks Average WiMAX delay Average WiMAX load and Average WiMAX throughput at base station is analyzed and compared by applying different scheduler at Base station and at fixed node

Bayesian Regularization based Neural Network Tool for Software Effort Estimation

Rapid growth of software industry leads to need of new technologies. Software effort estimation is one of the areas that need more concentration. Exact estimation is always a challenging task. Effort Estimation techniques are broadly classified into algorithmic and non-algorithmic techniques. An algorithmic model provides a mathematical equation for estimation which is based upon the analysis of data gathered from previously developed projects and Non-algorithmic techniques are based on new approaches, such as Soft Computing Techniques. Effective handling of cost is a basic need for any Software Organization. The main tasks for Software development estimation are determining the effort, cost and schedule of developing the project under consideration. Underestimation of project done knowingly just to win contract results into loses and also the poor quality project. So, accurate cost estimation leads to effective control of time and budget during software development. This paper presents the performance analysis of different training algorithms of neural network in effort estimation. For sake of ease, we have developed a tool in MATLAB and at last proved that Bayesian Regularization [20] gives more accurate results than other training algorithms

Sjogren’s syndrome presenting with recurrent hypokalemic paralysis

Sjogren’s syndrome is an autoimmune disorder commonly affecting females and presents with the dryness of the mouth and eyes. Here, we present an interesting case of Sjogren’s syndrome, initial presentation with distal renal tubular acidosis (RTA) causing recurrent hypokalemic paralysis, and dyspnea requiring ventilator support. The patient improved dramatically with potassium and alkali supplementation. She has been on follow-up for the past 3 months and remains asymptomatic. Only a few case reports and series have been reported on such initial presentation of Sjogren’s syndrome. To conclude, one must be aware of distal RTAs associated with autoimmune disorder presenting with hypokalemic paralysis

Effect of filler loading and orientation on alkali-treated cornhusk film reinforced epoxy laminate composites

Cornhusk film (CHF) has been used as reinforcement in epoxy matrix to develop CHF-epoxy laminate composites (CHFEC). Subsequently, the influence of CHF loading by weight (3%, 6% and 9%) as well as the angle of orientation (00, 450 and 900) of its ridges on the dynamic mechanical properties of the composites has been studied. Alkali-treated CHF results in better CHF/epoxy interphase and shows improvement in composite performance. Strength-to-weight ratio (SWR) of alkali-treated CHF is increased by 7.2% as compared to that of untreated one. Dynamic mechanical analysis shows best results for 6wt% CHF loaded composites with 372 MPa storage modulus as compared to that with 212 MPa for neat epoxy. The positive shift in tan δ peak of around 8.2 °C for the composites validates the effectiveness of CHF as a reinforcing agent in epoxy matrix. The maximum increase in storage modulus is found up to 75.47%, and it retains 4 times its value in rubbery zone as compared to neat epoxy. The CHF-epoxy composites retain their homogeneity, which is further improved at higher angle of orientation of CHF. The predicted viscoelastic properties of composites from the theoretical expressions are in line with the actual results. Results of statistical analysis show that CHF loading and its orientation in the laminate are significantly affecting the overall properties of the composites. The maximum moisture absorption is found ~ 1.024%, which is much lower than the permissible standards for wood-polymer composites. CHF based epoxy laminate composite structures can be used for developing partitioning panels, decking and similar applications.

Effect of filler loading and orientation on alkali-treated cornhusk film reinforced epoxy laminate composites

275-286Cornhusk film (CHF) has been used as reinforcement in epoxy matrix to develop CHF-epoxy laminate composites (CHFEC). Subsequently, the influence of CHF loading by weight (3%, 6% and 9%) as well as the angle of orientation (00, 450 and 900) of its ridges on the dynamic mechanical properties of the composites has been studied. Alkali-treated CHF results in better CHF/epoxy interphase and shows improvement in composite performance. Strength-to-weight ratio (SWR) of alkali-treated CHF is increased by 7.2% as compared to that of untreated one. Dynamic mechanical analysis shows best results for 6wt% CHF loaded composites with 372 MPa storage modulus as compared to that with 212 MPa for neat epoxy. The positive shift in tan δ peak of around 8.2 C for the composites validates the effectiveness of CHF as a reinforcing agent in epoxy matrix. The maximum increase in storage modulus is found up to 75.47%, and it retains 4 times its value in rubbery zone as compared to neat epoxy. The CHF-epoxy composites retain their homogeneity, which is further improved at higher angle of orientation of CHF. The predicted viscoelastic properties of composites from the theoretical expressions are in line with the actual results. Results of statistical analysis show that CHF loading and its orientation in the laminate are significantly affecting the overall properties of the composites. The maximum moisture absorption is found ~ 1.024%, which is much lower than the permissible standards for wood-polymer composites. CHF based epoxy laminate composite structures can be used for developing partitioning panels, decking and similar applications

DIGITAL AGRICULTURE: ANALYSIS OF VIBRATION TRANSMISSION FROM SEAT TO BACK OF TRACTOR DRIVERS UNDER MULTI-DIRECTIONAL VIBRATION CONDITIONS

The present research examines the impact of vibrations on seat-to-back transmissibility in tractor drivers. This study utilized a smart device for real-time data transmission to improve the experimentation by eliminating potential sources of error. Data was assessed using metrics such as weighted acceleration, daily exposure, power spectral density, and seat-to-back transmissibility. The seat pan and backrest were found to have high vibration levels on the vertical axis. Daily exposure response exceeded the exposure action limit of 0.5 m/s2, as specified in Directive 2002/44/EU. Power spectral densities at the seat pan and the backrest revealed dominant frequencies in the low-frequency range. Seat-to-back transmissibility demonstrated primary and secondary resonance within the 4.1-7.2 Hz and 8.2-11.8 Hz frequency ranges. Tractor manufacturers and designers could utilize the findings of this study to decrease the excessive vibration intensities and crucial resonating frequencies and thus enhance the operator's ride comfort

Recent Advances in Green Synthesis of Ag NPs for Extenuating Antimicrobial Resistance

Combating antimicrobial resistance (AMR) is an on-going global grand challenge, as recognized by several UN Sustainable Development Goals. Silver nanoparticles (Ag NPs) are well-known for their efficacy against antimicrobial resistance, and a plethora of green synthetic methodologies now exist in the literature. Herein, this review evaluates recent advances in biological approaches for Ag NPs, and their antimicrobial potential of Ag NPs with mechanisms of action are explored deeply. Moreover, short and long-term potential toxic effects of Ag NPs on animals, the environment, and human health are briefly discussed. Finally, we also provide a summary of the current state of the research and future challenges on a biologically mediated Ag-nanostructures-based effective platform for alleviating AMR