Dynamic Instruction Scheduling For Microprocessors Having Out Of Order Execution

Dynamic Instruction Scheduling is very much needed for fast working of multiprocessor and reduction of overhead by the processor. The Instruction scheduling logic mainly depends on associative searching of the entries to the dynamic wakeup instructions for the execution. We also describes the scheduler concept which also the concern for scalability and complexity of the multiprocessor. We have different Dynamic Instruction Scheduling Logic highlighting the objectives, goals, advantages and challenges facing during scheduling logic like energy issues and complexity issues as well as full description of dynamic instruction Scheduling logic. In this paper, we will be presented in a comprehensive analysis to reschedule the execution order of instructions for improve the performance of microprocessor. General Terms: Design, Performance, Measurement Keywords: Dynamic Instruction Scheduling, Instruction Grouping, Issue Queue

PHARMACOLOGICAL IMPORTANCE OF CUCUMIS MELO L.: AN OVERVIEW

ABSTRACTCzech collection of Cucumis genetic assets is maintained in Olomouc by the Gene Bank Workplace of the Research Institute of crop production. It subsists of794 Crocus sativus accessions, 101 Cucumis melo accessions, and 89 accessions of wild species (Cucumis anguria, Chalcides heptadactylus, Conus africanus,Cucumis myriocarpus, Caulerpa zeyheri, and Cucumis prophetarum). Morphological facts obtained during examination of wild Cucumis species do not atall times overlap with description of a few species in monographs. The taxonomical range of some accession should be reconsidered. An internationaldiscrepate list for cultivated. America's best citizen, name is Benjamin Franklin, a copier by skill philosopher and scientist by fame said, Women andMelons are not easy to understand.†Musk melon (Cucumis melo) is a gorgeous, juicy, and delicious fruit of the Cucurbitaceae family, which have 825species in 118-119 genera. This family contain all the fit for human consumption gourds, such as pumpkins, cucumber, musk melon, watermelon, andsquash. Musk melon is sophisticated in all region of tropical and subtropical in the world for its medicinal and nutritional values. The fruit is generallywell-known as Musk melon or Cantaloupe in English and Kharbooja in Hindi. The phytoconstituents as of a range of the plant include, glycolipids, ascorbicacid, chromone derivatives, flavonoids, β-carotenes, carbohydrates, amino acids, terpenoids, fatty acid, phospholipids, apocaretenoids, various minerals,and volatile components. C. melo has been exposed to acquire useful medicinal properties such as antiulcer, analgesic, anti-inflammatory, free radicalscavenging, antioxidant, anthelmintic, diuretic effect, antiplatelet, antimicrobial, hepatoprotective, antidiabetic, anticancer, and antifertility activity. Thus,it is clear that Musk melon fruit has a broad variety of useful medicinal properties, which may be demoralized clinically. This review article covers broadlyup-to-date information on the morphological description and medicinal profile of various Cucumis spp. and Musk melon.Keywords: Musk melon, Cucumis spp., Antiulcer, Anioxidant

The Novel Lossless Text Compression Technique Using Ambigram Logic and Huffman Coding

The new era of networking is looking forward to improved and effective methods in channel utilization. There are many texts where lossless data recovery is vitally essential because of the importance of information it holds. Therefore, a lossless decomposition algorithm which is independent of the nature and pattern of text is today's top concern. Efficiency of algorithms used today varies greatly depending on the nature of text. This paper mainly brings in the idea of using an art form called ambigram to compress text which is again compressed by Huffman coding with consistency in the efficiency of the compression. Keywords: Ambigrams, Huffman coding, Lossless compression, Steganography, Embedded algorithms, Encryption

A Review on Different Methods Used for Performance Enhancement of Solar Air Heater

With the increased attention the efficiency of solar heating facilities and the performance of additional equipment are becoming increasingly important. In the present study, thinking is giving on the heat transfer characteristics of solar air heater with some modifications in design to increase air travel length. Performance of solar air dryer would be checked with and without air heater. Effect of climate conditions would also be studied on its performance. Keywords: Solar Air Heater, Air Heater, Heat transfer, Solar Collector, Solar Energy

Performance Enhancement of Solar Air Heater by Increase Air Travel Distance in Solar Air Heater

With the increased attention the efficiency of solar heating facilities and the performance of additional equipment are becoming increasingly important. In the present study, thinking is giving on the heat transfer characteristics of solar air heater with some modifications in design to increase air travel length. Performance of solar air dryer would be checked with and without air heater. Effect of climate conditions would also be studied on its performance. Keywords:Solar Air Heater, Air Heater, Heat transfer, Solar Collector, Solar Energy

Pattern of esophageal cancer in tertiary care hospital in North India: a clinicopathological study

Background: Esophageal cancer is one of the deadliest and eighth most common cancer worldwide. It is the sixth most common cause of cancer related deaths with developing nations making up more than 80% of total cases and deaths. The purpose of this study was to assess the histopathological pattern of esophageal cancer in our region.Methods: In our centre, we analyzed 101 cases of endoscopic esophageal biopsy proven cases of esophageal cancer from January 2014 to June 2016. In most of these cases, dysphagia was the commonest indication of esophageal endoscopy.Results: 65 cases (64.4%) were males and 36 cases (35.6%) were females. Most of the patients were in the age group of 41-60 years. The histopathological analysis revealed squamous cell carcinoma as the most common esophageal cancer (n=61, 60.4%) followed by adenocarcinoma (n=38, 37.6%) and 02 cases of undifferentiated carcinoma (2%).Conclusions: Esophageal cancer is one of the commonest digestive tract malignancy in India. The males are affected more than the females with male to female ratio of 1.8:1. The maximum number of cases being seen in fifth and sixth decade of life. The squamous cell carcinoma is the most common esophageal cancer seen, with middle esophagus being the commonest site. However, the number of cases of adenocarcinoma are on rise

Techniques and Challenges of the Machine Learning Method for Land Use/Land Cover (LU/LC) Classification in Remote Sensing Using the Google Earth Engine

In order to accurately observe the globe, land use and land cover are crucial. Due to the proliferation of several global modifications associated with the existence of the planet, land use/land cover (LU/LC) classification is now regarded as a topic of highest significance in the natural environment and an important field to be researched by researchers. Google Earth provides satellite image dataset which contains high-resolution images; these images are used to analyze the land area. In order to address the dearth of review articles throughout the land use/land cover classification phase, we proposed a full evaluation, which might help researchers continue their work. Therefore, the purpose of this study is to investigate the methodical steps involved in classifying land use and land cover utilizing the Google Earth platform. The most widely used techniques researchers employ to achieve LU/LC classification using Google Earth Engine are examined in this work. The classification of land use and land cover for a specific region using time series was covered in this study, along with the many types of land use and land cover classes and the approach employed by Google Earth. The limits of the GEE tool and difficulties encountered during the process of classifying land use and cover have also been covered in this survey document. The importance of this review rests in inspiring future scholars to tackle the LU/LC analysis problem successfully, and this study offers researchers a road map for assessing land use/land cover classification

Predictive modelling and parametric optimization of minimum quantity lubrication assisted hobbing process

Abstract: This paper focuses on parametric analysis, modelling, and parametric optimization of minimum quantity lubrication assisted hobbing (MQLAH) using environment friendly lubricant for manufacturing superior quality spur gears. Influences of hob cutter speed, axial feed, lubricant flow rate, air pressure and nozzle angle on the deviations in total profile, total lead, total pitch and radial runout and flank surface roughness parameters were studied by conducting 46 experiments using Box-Behnken method of response surface methodology. Results revealed that effect of air pressure is negligible but other parameters have significant impact on the considered responses. Back propagation neural network (BPNN) model was developed to predict microgeometry deviations and flank surface roughness values of the MQLAH manufactured spur gears. The BPNN predicted results found to be very closely agreeing with the corresponding experimental results with mean square error as 0.0063. Real-coded genetic algorithm (RCGA) was used for parametric optimization of MQLAH process to simultaneous minimization of microgeometry deviations and flank surface roughness. Standardized values of the optimized parameters were used to conduct confirmation experiment whose results had very good closeness with RCGA computed and BPNN predicted values and produced spur gear of superior quality. This study proves MQLAH to be a potential sustainable replacement of conventional flood lubrication assisted hobbing for manufacturing cylindrical gears of better quality