Optimal 4G OFDMA Dynamic Subcarrier and Power Auction-based Allocation towards H.264 Scalable Video Transmission

In this paper, authors presented a price maximization scheme for optimal orthogonal frequency division for multiple access (OFDMA) subcarrier allocation for wireless video unicast/multicast scenarios. They formulate a pricing based video utility function for H.264 based wireless scalable video streaming, thereby achieving a trade-off between price and QoS fairness. These parametric models for scalable video rate and quality characterization arederived from the standard JSVM reference codec for the SVC extension of the H.264/AVC, and hence are directly applicable in practical wireless scenarios. With the aid of these models, they proposed auction based framework for revenue maximization of the transmitted video streams in the unicast and multicast 4G scenario. A closedform expression is derived for the optimal scalable video quantization step-size subject to the constraints of theunicast/multicast users in 4G wireless systems. This yields the optimal OFDMA subcarrier allocation for multi-userscalable video multiplexing. The proposed scheme is cognizant of the user modulation and code rate, and is henceamenable to adaptive modulation and coding (AMC) feature of 4G wireless networks. Further, they also consider aframework for optimal power allocation based on a novel revenue maximization scheme in OFDMA based wireless broadband 4G systems employing auction bidding models. This is formulated as a constrained convex optimization problem towards sum video utility maximization. We observe that as the demand for a video stream increases inbroadcast/multicast scenarios, higher power is allocated to the corresponding video stream leading to a gain in the overall revenue/utility. We simulate a standard WiMAX based 4G video transmission scenario to validate the performance of the proposed optimal 4G scalable video resource allocation schemes. Simulations illustrate that the proposed optimal band width and power allocation schemes result in a significant performance improvement over the suboptimal equal resource allocation schemes for scalable video transmission.Defence Science Journal, 2013, 63(1), pp.15-24, DOI:http://dx.doi.org/10.14429/dsj.63.375

Comparison of AES and DES Algorithms Implemented on Virtex-6 FPGA and Microblaze Soft Core Processor

Encryption algorithms play a dominant role in preventing unauthorized access to important data. This paper focus on the implementations of Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithms on Microblaze soft core Processor and also their implementations on XC6VLX240t FPGA using Verilog Hardware Description language. This paper also gives a comparison of the issues related to the hardware and software implementations of the two cryptographic algorithms

An Integrated Secure Scalable Blockchain Framework for IoT Communications

The Internet of Things (IoT) has shown great promise in the years since its invention and widespread acceptance by demonstrating its ability to adapt and improve manual processes while bringing them into the digital age. IoT's capacity to do so has elevated it to the ranks of the most promising technologies of our time. Despite the fact that IPv4 and IPv6 are being utilized to serve a growing number of devices in IoT connectivity, there are still issues with address space allocation and other security concerns, including scalability and poor access control methods. It is necessary to go through these difficulties and worries. Both of these organizations have spent a considerable amount of time in the vanguard of advancement in the study of IoT and Blockchain technology. Since IoT devices are capable of efficient two-way communication, integrating Blockchain technology is challenging. However, scalability is the biggest obstacle. The IoT Blockchain Framework discussed in the research article has the potential to be a game-changing solution to the issues that IoTs currently face, provided that it is used properly. Data access control and data interchange, transparency, and scalability without compromising privacy or dependability are all issues with the IoT paradigm that Blockchain technology may be able to efficiently address. Creating a local index that is scalable and does not interfere with either the local or global peer validation procedures is one way to limit the number of transactions that contact the global Blockchain. According to the findings, the blocks are significantly lighter and smaller than those seen in other parts of the world

Qualities of best medical teacher: a student perceptive study

Background: Medical education is changing day by day and there is a continuing need to assess the role of the teacher in medical education. A good Medical teacher is the one who pave the way in the making of our future clinicians. In the Present study we tried to evaluate qualities of best medical teacher in preclinicals, paraclinicals and clinical teachers including all medical, surgical and their allied subjects from first year to final year MBBS Students by student perceptive study at one medical College of Andhra Pradesh, India.Methods: The study population includes first to final M.B.B.S Students from one medical institute -A Questionnaire comprising of 12 statements relating to the qualities of teacher was prepared. The study population include first to final M.B.B.S Students from one medical institute.Results: Giving a total of 321 students who are pursuing MBBS from first year to final year 63% participants were females and 37% were male. All the participants are aged in between 17-23 years. In these studies top five qualities of best medical teacher perceived by students is good Quality of subject (72.4%), student friendly nature (71.7%), creating interest in subject (58%), more explanatory / more informative teaching (42.8%), best personality including knowledge, personal and professional skills (41.2%).Conclusions: A good teacher is someone who is approachable, engaging and inspiring, and who has a sound knowledge of subject of what they are trying to teach. They also have the ability to communicate well with students

Conjunctive use modeling for multicrop irrigation

A mathematical model is developed to arrive at an optimal conjunctive use policy for irrigation of multiple crops in a reservoir-canal–aquifer system. The integration of the reservoir operation for canal release, ground water pumping and crop water allocations during different periods of crop season (intraseasonal periods) is achieved through the objective of maximizing the sum of relative yields of crops over a year considering three sets of constraints: mass balance at the reservoir, soil moisture balance for individual crops, and governing equations for ground water flow. The conjunctive use model is formulated with these constraints linked together by appropriate additional constraints as a deterministic linear programming model. A two-dimensional isotropic, homogeneous unconfined aquifer is considered for modeling. The aquifer response is modeled through the use of a finite element ground water model. A conjunctive use policy is defined by specifying the ratio of the annual allocation of surface water to that of ground water pumping at the crop level for the entire irrigated area. A conjunctive use policy is termed stable when the policy results in a negligible change in the ground water storage over a normal year. The applicability of the model is demonstrated through a case study of an existing reservoir command area in Chitradurga district, Karnataka State, India

Annotation and BAC/PAC localization of nonredundant ESTs from drought-stressed seedlings of anindica rice

To decipher the genes associated with drought stress response and to identify novel genes in rice, we utilized 1540 high-quality expressed sequence tags (ESTs) for functional annotation and mapping to rice genomic sequences. These ESTs were generated earlier by 3'-end single-pass sequencing of 2000 cDNA clones from normalized cDNA libraries constructed from drought-stressed seedlings of anindica rice. A rice UniGene set of 1025 transcripts was constructed from this collection through the BLASTN algorithm. Putative functions of 559 nonredundant ESTs were identified by BLAST similarity search against public databases. Putative functions were assigned at a stringency E value of 10-6 in BLASTN and BLASTX algorithms. To understand the gene structure and function further, we have utilized the publicly available finished and unfinished rice BAC/PAC (BAC, bacterial artificial chromosome; PAC, P1 artificial chromosome) sequences for similarity search using the BLASTN algorithm. Further, 603 nonredundant ESTs have been mapped to BAC/PAC clones. BAC clones were assigned by a homology of above 95% identity along 90% of EST sequence length in the aligned region. In all, 700 ESTs showed rice EST hits in GenBank. Of the 325 novel ESTs, 128 were localized to BAC clones. In addition, 127 ESTs with identified putative functions but with no homology in IRGSP (International Rice Genome Sequencing Program) BAC/PAC sequences were mapped to the Chinese WGS (whole genome shotgun contigs) draft sequence of the rice genome. Functional annotation uncovered about a hundred candidate ESTs associated with abiotic stress in rice andArabidopsis that were previously reported based on microarray analysis and other studies. This study is a major effort in identifying genes associated with drought stress response and will serve as a resource to rice geneticists and molecular biologists

Ocular manifestations of Hansen's disease

A detailed ophthalmic evaluation including slitlamp biomicroscopy, measurement of corneal sensitivity using Cochet and Bonnet aesthesiometer, Schirmer's test and Goldmann applanation tonometry was carried out in 89 patients of Hansen's disease attending the leprosy clinic with or without ocular symptoms and willing to undergo eye evaluation. Thirty-one patients had lepromatous leprosy (8 with erythema nodosum leprosum), 56 patients had borderline disease (13 with reversal reactions) and 2 had tuberculoid disease. In addition to the well documented changes of lagophthalmos (6.7%), uveitis (7.3%) and cataracts (19%), we noted prominent corneal nerves in 133 eyes (74.7%), beaded corneal nerves in 19 eyes (10.7%), corneal scarring in 10 eyes (5.6%), corneal hypoaesthesia in 51 eyes (28%) and dry eye in 18 eyes (13%). Beaded corneal nerves and/or stomal infiltrates occurred mainly in the lepromatous group (75%). Ocular hypotony (IOP less than 12 mm Hg) was not seen more frequently in Hansen's as compared to age and sex matched controls with refractive errors or cataracts (33.7%, vs. 37.8%,p=0.33). Our study highlights the primary corneal involvement with corneal neuropathy as the predominant feature of Hansen's disease

COVID-19: Policy Interventions and Socio-economic Impact in Andhra Pradesh, India

The COVID-19 pandemic has claimed several lives and has already adversely affected the livelihoods of millions of vulnerable households. This policy brief surveys the current status of the disease, its spread and its likely socio-economic effects in the context of Andhra Pradesh, India. Given the global scope of the shock, the policy brief emphasizes the need for innovative and bold policy measures, particularly from the states’ perspective

Performance of no-till maize under drip-fertigation in a double cropping system in semi arid Telangana state of India

Availability of water for Agriculture is becoming increasingly difficult, besides the cost of power for applying it. Improving the water and nitrogen use efficiency has become imperative in present day’s Agriculture. Drip irrigation and fertigation provides the efficient use of limited water with increased water and nutrient use efficiency, respec- tively. A field experiment was conducted during post rainy season of two consecutive years (2011 and 2012), in sandy loam soils of Warangal, Telangana State, India to study the response of no-till maize (Zea mays L) after aerobic rice (Oryza sativa L) to drip irrigation and nitrogen fertigation under semi-arid environment. The experiment was laid out in split plot design with four replications. Three irrigation schedules viz. drip irrigation at 75% Pan Evaporation (PE); 100% PE and 125% PE were taken as main plots and three nitrogen levels through fertigation viz. 120, 160, and 200 kg ha-1 as sub plots. The growth parameters (plant height, LAI, drymatter accumulation), root volume and dry weight, yield attributes (cobs plant-1, kernels cob-1, kernel weight cob-1) kernel yield, stover yield and nitrogen uptake of no till maize increased with increase in water input from 75% PE to 100% PE irrigation schedule in drip irrigation but could not reach the level of significance at 125% PE. Tasseling and silking was hastened in 125% PE schedule. Increase in the level of N application through fertigation from 120 to 160 kg N ha-1 resulted in the increase of all the growth parameters, yield attributes, kernel yield, stover yield and nitrogen uptake. Barrenness and test weight were unaffected by either the irrigation schedules or nitrogen levels. The economic indicators (gross returns, net returns and net benefit: cost ratio) were higher with the irrigation schedule of 125% PE and nitrogen dose of 200 kg N ha-1 applied through fertigation. Increased water input from 75 to 125% PE resulted in decreased water use efficiency but enhanced nitrogen use efficiency while the reverse trend was found with respect to N levels under fertigation