A Reinforced Learning Solution for Clock Skew Engineering to Reduce Peak Current and IR Drop

Author(s):  
Sayed Aresh Beheshti-Shirazi ◽  
Ashkan Vakil ◽  
Sai Manoj ◽  
Ioannis Savidis ◽  
Houman Homayoun ◽  
...  
Author(s):  
L. Benini ◽  
P. Vuillod ◽  
A. Bogliolo ◽  
G. De Micheli

Author(s):  
T.D. White ◽  
G.W. Sheath

Focused group projects engaging owners and managers of Maori farm businesses were initiated on the East Coast of New Zealand. The objective was to improve productivity and profitability on-farm through enhanced capability building and collaboration. Five group projects were evaluated. Critical success factors of learning groups were identified. Leadership, communication, organisation and commitment were required from project participants and facilitators. Collaborative and interactive processes built the knowledge and confidence of farm managers. Building trust was critical. Participation of mentor farmers reinforced learning in the group. Social network building was also important. We conclude that interactive group projects are a powerful way of building confidence of farm managers to communicate issues and make clearer, more strategically aligned decisions and actions. Collaborative farm initiatives foster ownership of issues, develop farmer support networks and ultimately the confidence to change. Keywords: experiential learning, farmer group, trust.


2015 ◽  
Vol 135 (10) ◽  
pp. 644-645 ◽  
Author(s):  
Michihiro Matsui ◽  
Koji Michishita ◽  
Satoshi Kurihara
Keyword(s):  

2020 ◽  
Vol 38 (8A) ◽  
pp. 1226-1235
Author(s):  
Safa R. Fadhil ◽  
Shukry. H. Aghdeab

Electrical Discharge Machining (EDM) is extensively used to manufacture different conductive materials, including difficult to machine materials with intricate profiles. Powder Mixed Electro-Discharge Machining (PMEDM) is a modern innovation in promoting the capabilities of conventional EDM. In this process, suitable materials in fine powder form are mixed in the dielectric fluid. An equal percentage of graphite and silicon carbide powders have been mixed together with the transformer oil and used as the dielectric media in this work. The aim of this study is to investigate the effect of some process parameters such as peak current, pulse-on time, and powder concentration of machining High-speed steel (HSS)/(M2) on the material removal rate (MRR), tool wear rate (TWR) and the surface roughness (Ra). Experiments have been designed and analyzed using Response Surface Methodology (RSM) approach by adopting a face-centered central composite design (FCCD). It is found that added graphite-silicon carbide mixing powder to the dielectric fluid enhanced the MRR and Ra as well as reduced the TWR at various conditions. Maximum MRR was (0.492 g/min) obtained at a peak current of (24 A), pulse on (100 µs), and powder concentration (10 g/l), minimum TWR was (0.00126 g/min) at (10 A, 100 µs, and 10 g/l), and better Ra was (3.51 µm) at (10 A, 50 µs, and 10 g/l).


2020 ◽  
Vol 17 ◽  
Author(s):  
Mansureh Alizadeh ◽  
Mandana Amiri ◽  
Abolfazl Bezaatpour

: Amikacin is an aminoglycoside antibiotic used for many gram-negative bacterial infections like infections in the urinary tract, infections in brain, lungs and abdomen. Electrochemical determination of amikacin is a challenge in electroanalysis because it shows no voltammetric peak at the surface of bare electrodes. In this approach, a very simple and easy method for indirect voltammetric determination of amikacin presented in real samples. Gold nanoparticles were electrodeposited at the surface of glassy carbon electrode in constant potential. The effect of several parameters such as time and potential of deposition, pH and scan rates on signal were studied. The cathodic peak current of Au3+ decreased with increasing amikacin concentration. Quantitative analysis of amikacin was performed using differential pulse voltammetry by following cathodic peak current of gold ions. Two dynamic linear ranges of 1.0 × 10−8–1.0 × 10-7 M and 5.0 × 10−7–1.0 × 10-3 M were obtained and limit of detection was estimated 3.0× 10−9 M. The method was successfully determined amikacin in pharmaceutical preparation and human serum. The effect of several interference in determination of amikacin was also studied.


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