Implementation of Communication Receivers as Multi-Processor Software

Over the years, we have seen changes in the mobile communication systems starting from Advanced Mobile Phone System (AMPS) to 3G Universal Mobile Telecommunications System (UMTS) and now to 4G Long Term Evolution (LTE) advanced. Also the mobile terminals have more features to offer comparatively when it comes to supported applications for example Wireless Local Area Network (WLAN), Global-Positioning System (GPS) and high speed multimedia applications. As the mobile terminals are now evolving towards multistandard systems, the traditional approach of designing radio platforms has now been replaced by more flexible and cost-effective solutions. The challenge imposed by this multistandard approach in the implementation of mobile terminals is to integrate several radio technologies into a single device. Sharing components and processing resources between different radio technologies is the key in the implementation of multistandard terminals. Software implementation of the components is preferred because of shorter lead-time of software development and it also costs less to carry out necessary redesigns with software. In an effort to take up this challenge, the designers proposed Software Defined Radio (SDR) that allows multiple protocols to work on a System-on-Chip (SoC). The SDR implementations can follow either the Multi-Processor System-on-Chip (MPSoC) or the Coarse-Grain Reconfigurable Array (CGRA) paradigm. For this thesis work, a homogeneous MPSoC platform is used to accelerate the signal processing baseband algorithms of WCDMA and OFDM IEEE 802.11a WLAN standards. The performance comparison between single core and multi-core platforms has been made based on the number of clock cycles consumed. The idea is to exploit the inherent parallelism offered by homogeneous MPSoC platform and improve the execution times of computationally intensive algorithms like correlation operation and Fast Fourier Transform (FFT). The baseband signal processing components have been implemented in software and executed on an MPSoC platform to evaluate their performance. The multiprocessor platform has been used in an asymmetric manner in which each processing node has its own copy of application software and uses shared memory space for multiprocessor communication. Each of the processing nodes fetches and executes instructions from its own local instruction memory and is therefore independent from each other. Data Level Parallelism (DLP) has been exploited in the software implementation of the algorithms by performing identical operations simultaneously on different processors

Fibrous Dysplasia Of Maxilla: A Case Report

Summary: Fibrous dysplasia is a benign disease of unclear aetiology that is congenital and recurring in nature. It is caused by a problem known as bone modelling, in which the normal bone constantly changes and is replaced by immature fibrous tissue. One or more bones may be impacted by the lesion; the maxilla is the most often afflicted facial bone. Expansile lesions known as fibrous dysplasia lead to issues related to the original location. The most often involved region in the craniofacial bone is the maxilla. In this case report 50 years 50-year-old female patient reported who has maxillary fibrous dysplasia. Keywords: fibrous dysplasia, congenital, bone

Univariate Modelling and Forecasting of Energy Consumption: The Case Study of Electricity in Pakistan.

Demand and supply side assessment are the two foremost important components of energy management and planning. Unfortunately, for the past twenty years Pakistan is confronting extremely serious issues with energy management such as electricity followed by institutional incompetence and lack of policy response. This is due to the fact that the country neither has long term energy plans nor short term solutions to deal with energy crisis. This study outlines overall consumption of electricity and forecasting its various components. The interminable crisis of electricity affects all sectors of economy. The study deals with this particular aspect and applies Holt-winter and ARIMA models for the forecasting. The outcomes of both the models suggest that ARIMA model is more reliable for forecasting as compared to Holt-winter model. Estimated results affirm the tendency of increasing demand in all the indices which show an alarming position in future. Household sector will have the highest energy demand in 2030, followed by industrial sector. Thus, due to the ever increasing demand of electricity energy, government should initiate different renewable sources of power production such as hydal and solar energy to overcome the shortfall of electricity energy as well as sustainability in economy

Effectiveness of monetary policy: Application of modified Peter and Clark (PC) algorithms under Graph-Theoretic Approach

It is common practice that central banks around the world must adopt an inflation targeting framework; based on the assumption that inflation could be reduced by increasing interest rates. On contrary, the theoretical literature and data-based evidences differ remarkably. The arduous attached in finding the true association and causation is the existence of multiple monetary transmission channels. Theoretical literature lists both monetary and non-monetary channels linking interest rate and inflation. However, most of the existing studies are focused on single equation model ignoring other parallel channels. This study is first of its kind where we have developed modified Peter and Clark (PC) algorithm of the Graph-Theoretic approach taking all the monetary and non-monetary channels to determine the causal nexus between monetary policy and inflation. The results show that, causality is running from interest rate towards inflation; suggesting a positive and significant long run relationship of interest rate with inflation in case of Pakistan. Furthermore, monetary policy have cost-side effects on inflation; however, the monetary policy becomes counterproductive whenever high interest rate is used to decrease cost push inflation. Therefore, there is need of serious rethinking about current monetary policy regime.JEL Codes - E4; E5; E42; E5

Spectrophotometric Quantification of Trace Elements and Toxic Metals in Raw Milk Samples of Peshawar City, Pakistan

The present study focused on the physicochemical characterization and spectrophotometric determination of the concentrations of trace elements (Zn, Cu, Fe and Mn) and toxic heavy metals (Cd and Pb) in raw milk samples collected from various commercial sites of Peshawar city, Pakistan. Evaluation of the nutritional values as well as the possible health concerns associated with the consumption of contaminated milk shown the average percentage composition of protein, fats, solid non-fats, lactose, salts and added water in the milk sample as 2.78, 4.81, 6.41, 3.05, 0.47 and 31.1 %, respectively. The values of pH, conductivity, density and freezing point were observed as 6.59, 3.51 mS/cm, 1.04 g/mL and -0.3674 ºC at 26 ºC. The physicochemical characteristics such as percentage protein, fat, lactose, salts, water, solid not fat, total solids, pH, conductivity and density were evaluated and found in the safe limits of the WHO/FAO. The average concentration of trace elements such as zinc and copper were found to be 1.4035 mg/L and 0.2588 mg/L, respectively. The concentration of Zn and Cu was found within permissible limits suggested by WHO. However, the average concentration of Fe, Mn, Cd and Pb were found higher than the permissible limits of WHO. The observed concentrations were: Fe = 1.5553, Mn = 0.4354, Cd = 0.1865 and Pb = 1.1162 mg/L. The presence of the non-essential and hazardous Cd and Pb in milk samples even in lower concentrations may cause severe health problems since these are the most noxious pollutants due to their non-biodegradable and bio-accumulative nature. Over-dose of Fe and Mn also leads to several health issues. A thorough and more precise investigation of raw milk consumption in Peshawar is highly recommended to ascertain the actual reasons and sources in the larger public interests

Implementation of Communication Receivers as Multi-Processor Software

Over the years, we have seen changes in the mobile communication systems starting from Advanced Mobile Phone System (AMPS) to 3G Universal Mobile Telecommunications System (UMTS) and now to 4G Long Term Evolution (LTE) advanced. Also the mobile terminals have more features to offer comparatively when it comes to supported applications for example Wireless Local Area Network (WLAN), Global-Positioning System (GPS) and high speed multimedia applications. As the mobile terminals are now evolving towards multistandard systems, the traditional approach of designing radio platforms has now been replaced by more flexible and cost-effective solutions. The challenge imposed by this multistandard approach in the implementation of mobile terminals is to integrate several radio technologies into a single device. Sharing components and processing resources between different radio technologies is the key in the implementation of multistandard terminals. Software implementation of the components is preferred because of shorter lead-time of software development and it also costs less to carry out necessary redesigns with software. In an effort to take up this challenge, the designers proposed Software Defined Radio (SDR) that allows multiple protocols to work on a System-on-Chip (SoC). The SDR implementations can follow either the Multi-Processor System-on-Chip (MPSoC) or the Coarse-Grain Reconfigurable Array (CGRA) paradigm. For this thesis work, a homogeneous MPSoC platform is used to accelerate the signal processing baseband algorithms of WCDMA and OFDM IEEE 802.11a WLAN standards. The performance comparison between single core and multi-core platforms has been made based on the number of clock cycles consumed. The idea is to exploit the inherent parallelism offered by homogeneous MPSoC platform and improve the execution times of computationally intensive algorithms like correlation operation and Fast Fourier Transform (FFT). The baseband signal processing components have been implemented in software and executed on an MPSoC platform to evaluate their performance. The multiprocessor platform has been used in an asymmetric manner in which each processing node has its own copy of application software and uses shared memory space for multiprocessor communication. Each of the processing nodes fetches and executes instructions from its own local instruction memory and is therefore independent from each other. Data Level Parallelism (DLP) has been exploited in the software implementation of the algorithms by performing identical operations simultaneously on different processors

An analysis of the impact of China's macroeconomic performance on its trade partners: Evidence based on the GVAR model.

Economic strategies and planning are critical to a country's growth and development. China, like many other countries, is seeking the most cost-effective trade deals. Using the Global Vector Auto Regression (GVAR) model, this study examined the impact of a shock to China's macroeconomic factors on trading economies. The major findings reveal that there is no co-movement between the shock in Chinese gross domestic product (GDP) and German macroeconomic indicators; however, the shock has a positive and substantial influence on Japan's GDP and Unites States (US)' exchange rate. It is also worth noting that a shock to Chinese trade volume is more susceptible and more disturbing than a shock to US trade volume since it reduces trade volume and causes the Ren Min Bi (RMB) to devalue permanently. Furthermore, the analysis shows that Chinese stock prices have a major influence on German economy since China's GDP, trade volume, and currency appreciate over time when its stock price rises. Finally, the exchange rate shock is beneficial to Germany as it boosts GDP and trade volume but has a negative influence on US stock prices. The current study is, therefore, expected to be a suitable beginning point for the governments and policymakers of trading partners to design an effective trade policy to minimize the impact on major economic variables

Straw Incorporation in Contaminated Soil Enhances Drought Tolerance but Simultaneously Increases the Accumulation of Heavy Metals in Rice

Heavy metals (HMs) and drought stress are worldwide issues of concern because of their adverse effects on the growth and productivity of rice. Straw burning causes air pollution via greenhouse gas (GHG) emissions and it requires sustainable management. The introduction of HMs into the food chain poses a major health risk to humans. In this regard, straw incorporation into the soil could reduce air pollution and drought stress. However, its simultaneous impact on HMs’ uptake and drought stress tolerance in crops is unknown. Therefore, the present study aimed to investigate the impact of rice straw incorporation in soil on HMs (Cd, Cu, Pb, and Fe) availability, accumulation, and drought stress tolerance in rice (Oryza sativa L.) grown in pots under glasshouse conditions. The soil samples were collected from a non-contaminated agricultural field (control) and the contaminated field, irrigated with industrial effluent and treated with straw. Straw (1% w/w) was mixed in soils and control plants without straw application were grown under both contaminated and normal soil conditions. The results showed that straw incorporation in soils significantly enhanced the accumulation of HMs in rice grain and other vegetative parts of rice as compared to control. Moreover, straw application harmed chlorophyll and carotenoids. Straw application significantly increased proline in leaves (274.0 µg mL−1) as compared to the control (166.8 µg mL−1). Relative water contents were higher in straw-treated plants, thereby increasing drought stress tolerance. Straw application increased the accumulation of HMs and consequently reduced the biomass of the plant. In conclusion, straw incorporation enhanced drought stress tolerance but simultaneously elevated the accumulation of HMs under contaminated soil in Oryza sativa L

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