Design Space Exploration for MPSoC Architectures

Multiprocessor system-on-chip (MPSoC) designs utilize the available technology and communication architectures to meet the requirements of the upcoming applications. In MPSoC, the communication platform is both the key enabler, as well as the key differentiator for realizing efficient MPSoCs. It provides product differentiation to meet a diverse, multi-dimensional set of design constraints, including performance, power, energy, reconfigurability, scalability, cost, reliability and time-to-market. The communication resources of a single interconnection platform cannot be fully utilized by all kind of applications, such as the availability of higher communication bandwidth for computation but not data intensive applications is often unfeasible in the practical implementation. This thesis aims to perform the architecture-level design space exploration towards efficient and scalable resource utilization for MPSoC communication architecture. In order to meet the performance requirements within the design constraints, careful selection of MPSoC communication platform, resource aware partitioning and mapping of the application play important role. To enhance the utilization of communication resources, variety of techniques such as resource sharing, multicast to avoid re-transmission of identical data, and adaptive routing can be used. For implementation, these techniques should be customized according to the platform architecture. To address the resource utilization of MPSoC communication platforms, variety of architectures with different design parameters and performance levels, namely Segmented bus (SegBus), Network-on-Chip (NoC) and Three-Dimensional NoC (3D-NoC), are selected. Average packet latency and power consumption are the evaluation parameters for the proposed techniques. In conventional computing architectures, fault on a component makes the connected fault-free components inoperative. Resource sharing approach can utilize the fault-free components to retain the system performance by reducing the impact of faults. Design space exploration also guides to narrow down the selection of MPSoC architecture, which can meet the performance requirements with design constraints.Siirretty Doriast

Pitting Corrosion on Fr6B Gas Turbine Axial Compressor Blades: Investigation and Preventive Measures

Case Study§ Overview of QG1 Electric power Generation Facility § Problem Description § Failure Analysis § Root Cause Failure Factors § Review of Inlet Filtration System § Remedial Actions § Conclusion § Q &

How Consumer Confidence, Corruption and Credit Rating Effect the Exchange Rate: Emerging Market Perspective

The paper empirically examines whether the international rating influences the rate of exchange of an economy in the long run? The paper employs Autoregressive Distributed Lag (ARDL) Bounds testing methodology on the exchange rate of China and contemporary international rating, using time series data from 1996Q1 to 2016Q4. The empirical analysis confirms the presence of a cointegration relationship between country rating and the exchange rate. To be more specific; corruption index, credit rating, and inflation are significantly and negatively cointegrated with the exchange rate of China. Conversely, consumer confidence is uncorrelated with the exchange rate over the long run. The paper focuses only on the exchange rate of CNY-USD; this may limit the generalizability of results for exchange rate with other nations. Nevertheless, the results add to the exchange rate determinants literature by including country-rating indicators in the analysis. Prior literature documents that there is some relationship between inflation and exchange rate. This research is novel in the application of robust ARDL and bounds testing to examine the long and short-run association of country rating of China with its exchange rate, after controlling for inflation

Using Electrical Stimulation in Diabetic Therapy

This study aimed to find a new technique for diabetic therapy using new device of electrical stimulation by treating 320 cases of diabetic patient divided in four groups. The first was for patients with no drug and herbal therapy. The second group took 1 tablet of (G or D) or 1herbal dose. The third took more than tablet of (G or D) or (1 tablet + 1 herbal dose). The fourth group was treated by Insulin. All these groups of patients were exposed to electrical stimulation using the above device, and the test of all patients were done, observing that the exposure time increased with the increasing of age for the patient group of the same diabetic level, and the number of patients increases in the range (35-55) year for the first group, (35-60) year for the second group, (30-40) year for the third group. By fitting the curve response we get the mathematic equation that helps us to determine the start point of therapy. Keywords: Electrical, Diabetic, Stimulation, Therapy

Nexus between Economy, Agriculture, Population, Renewable Energy and CO2 Emissions: Evidence from Asia-Pacific Countries

This study uses panel co-integration methods and Granger causality examines to scrutinize the dynamic causal relationship between carbon dioxide (CO2) emissions, gross domestic product (GDP), renewable energy (RE), agriculture value added (AVA) and population for the thirteen developed and developing Asia Pacific countries (APCs) covering the period 2005-2017. The results evaluate in two ways: in the short-run, Granger causality test (GCT) is operating from AVA to GDP and express bidirectional causation among GDP and agriculture. In the distant future, there is causality from RE and Population to CO2emissions. The short-run causality is important due to the agriculture sector which causes in boosting GDP while economic development, population and clean energy (including waste and combustible) raise CO2 emissions causes in the reduction of production and services. The research finds out that reduction in AVA, GDP increase, uncontrolled population and lack of attention on clean energy are interrelated in creating emissions. Policy recommendation insights that Asian Pacific establishments should control the population, less use of fossil fuel, encourage clean energy technologies such as solar and wind to fight with global warming

Microstructural transformations and Grain growth in alumina nanoprecursors

Alumina nanoprecursors with a range of average particle size and narrow distribution manifested two different grain and pore growth during mictrostructural developments. Densification temperature decreases in general with the decrease in average particle size though the distribution of particle size as a function of heating rate manifested different grain growth and subsequent densification. At low heating rate, 5oC the particles tend to show bimodal grain growth with bigger average grain, about 3 micron and densified at elevated temperatures, 1600oC. While at ten times elevated heating rate, 50sC, the particles tend to show normal grain growth with desirable average grain, 1bout 1 micron and densified at comparatively 200oC degrees lower temperature. Keywords:Alumina, densification, grain growth, pore closure. DOI: 10.7176/CMR/14-4-04 Publication date:November 30th, 202

Pitting Corrosion on Fr6B Gas Turbine Axial Compressor Blades: Investigation and Preventive Measures

Case Study§ Overview of QG1 Electric power Generation Facility § Problem Description § Failure Analysis § Root Cause Failure Factors § Review of Inlet Filtration System § Remedial Actions § Conclusion § Q &

Bibliometric Appraisal on Dental Research at Kingdom of Saudi Arabia from 1998-2017

Purpose: Scholarly research is considered as a yardstick to measure progress and development in any country, institution, or subject or individual. This study describes the growth of publications in the field of dentistry by researchers affiliated to the Kingdom of Saudi Arabia (KSA) during the two decades from 1998 to 2017. Research Design: This observational and quantitative analysis on dental research growth in KSA is based upon the data retrieved from Scopus database. This study was carried out at the College of Dentistry, King Saud bin Abdulaziz University for Health Sciences (KSAU-HS). Bibliometric indicators such as year-wise growth, productive author, research-type, source publication, productive national institutions, international research collaboration and collaborating countries have been used to illustrate research performance of KSA. Relevant bibliometric studies on medical and dental research have been reviewed. Microsoft Excel used for data analysis. Key Findings: The results of the study provide various characteristics of dental literature published during the projected period. Total of 6,415 research items produced by 22 Arab countries, a share of KSA counted 2,427 (37.83%) documents. Nearly half of the research items (n=1,209; 49.81%) published during the last three years from 2015 to 2017. Journal of Contemporary Dental Practice published 242 articles. King Saud University (KSU) appeared highest prolific national institution (n=938) and Alexandria University with 67 papers grasp top rank in international research collaborating institutions. United States (US) with 474 papers stood at the top in collaborating countries. Most of the papers have been written on the subject of dental procedures, resin, dental caries, tooth prosthesis and dental implants. Dr. Shankargouda Patil affiliated with Jazan University found as the most instrumental author with 60 publications in his credit. Conclusions/Implications: Findings of this study illustrate that dentistry has been progressing over the years in KSA. High tech dental research has a direct impact on the oral health and wellbeing of citizens. KSA researchers are thriving for more informed dental practices and research-based education leading to quality oral health care to their community

Vacillating Behavior of TOM Effect and Adaptive Market Hypothesis: A Firm Level Evidence from Emerging Stock Market of Pakistan

Through the current study we amplify the available literature on AMH (Adaptive Market Hypothesis) and calendar anomalies because this is the first study of its nature which links TOM effect with AMH which allows the behavior of conventional TOM-effect to swing over time. To fulfill the drive, study investigates daily mean return from PSX of Pakistan using data of 107 firms individually over a longer period of time ranging 1996-2015. To discover the time variation in the levels of predictability of TOM returns, study uses four different sub-samples covering identical length of observations of five years each to investigate how TOM effect has performed over time. There are few studies in the literature investigating TOM effect at firm level and very rare studies examining TOM effect through (AMH), so the current study may be of importance and interest to finance researcher, academicians and practitioners alike. To elucidate the volatility and its varying nature, the study applies GARCH (1,1) regression model which enables for time-variation in volatility of security returns. Kruskal-Wallis test-statistic is used to handle non normality in the equity return series. We find that with the passage of time performance of TOM effect evolves, consistent and aligned with the assertion of AMH. Finally, this study exhibits that behavior of TOM effect is well elucidated by Adaptive Market Hypothesis (AMH) than conventional Efficient Market Hypothesis (EMH). The results may be used for better decision making for investors and the article complements studies on market efficiency and TOM effect in developing and developed countries