Congestion Control in Multicast Transport Protocols

We discuss congestion control mechanisms in multicast transport protocols and we propose TCP-M - a TCP-friendly Multicast transport protocol. TCP-M uses IP multicast to deliver data packets and acknowledgements to provide reliability. Ack implosion at the source is prevented by fusing acknowledgements at some intermediate routers. TCP-M reacts to network congestion exactly like TCP by having the sender emulate a TCP sender

Symmetrical Routes and Reverse Path Congestion Control

We describe new mechanisms to deal with asymmetries that arise in routing protocols. We show how to avoid route asymmetries (due to non-unique shortest paths) by adding random integer link costs. We show in detail how RIP can be modified to avoid route asymmetry with high probability, without affecting either its efficiency or performance metrics such as convergence time. Symmetrical intra-domain routing also makes possible a new form of congestion control that we call Reverse Path Congestion Control (RPCC). We show, using simulations, that RPCC can augment existing TCP congestion control mechanisms to improve start up behavior and to avoid losses at the boundary between domains and the backbone

Ensemble Based Feature Extraction and Deep Learning Classification Model with Depth Vision

It remains a challenging task to identify human activities from a video sequence or still image due to factors such as backdrop clutter, fractional occlusion, and changes in scale, point of view, appearance, and lighting. Different appliances, as well as video surveillance systems, human-computer interfaces, and robots used to study human behavior, require different activity classification systems. A four-stage framework for recognizing human activities is proposed in the paper. As part of the initial stages of pre-processing, video-to-frame conversion and adaptive histogram equalization (AHE) are performed. Additionally, watershed segmentation is performed and, from the segmented images, local texton XOR patterns (LTXOR), motion boundary scale-invariant feature transforms (MoBSIFT) and bag of visual words (BoW) based features are extracted. The Bidirectional gated recurrent unit (Bi-GRU) and the Bidirectional long short-term memory (Bi-LSTM) classifiers are used to detect human activity. In addition, the combined decisions of the Bi-GRU and Bi-LSTM classifiers are further fused, and their accuracy levels are determined. With this Dempster-Shafer theory (DST) technique, it is more likely that the results obtained from the analysis are accurate. Various metrics are used to assess the effectiveness of the deployed approach

Simulated Annealing Approach onto VLSI Circuit Partitioning

Decompositions of inter-connected components, to achieve modular independence, poses the major problem in VLSI circuit partitioning. This problem is intractable in nature, Solutions of these problems in computational science is possible through appropriate heuristics. Reduction of the cost that occurs due to interconnectivity between several VLSI components is referred to in this paper. Modification of results derived by classical iterative procedures with probabilistic methods is attempted. Verification has been done on ISCAS-85 benchmark circuits. The proposed design tool shows remarkable improvement results in comparison to the traditional one when applied to the standard benchmark circuits like ISCAS-85

Rotational Variability and Detection of Superflares in a Young Brown Dwarf by TESS

We present a comprehensive analysis of a Transiting Exoplanet Survey Satellite (TESS) high-quality light curve for a young brown dwarf, MHO~4 having spectral type M7.0, in the Taurus star-forming region. We investigate the rotation periods and characterize the BD's dynamic atmosphere and surface features. We present light curve analysis of MHO~4, and estimate the rotation period to be around 2.224~d. Remarkably, MHO~4 exhibits two significant flaring events. Furthermore, we also estimated bolometric flare energies to be within the energy range of $10^{34}$ to $10^{35}$ erg, which sits in the superflare category.Comment: 10 pages, 5 figure

Stochastic Optimization to Reduce Aircraft Taxi-in Time at IGIA, New Delhi

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands, this is the prime reason for the unusual delays in taxi-in times at IGIA, New Delhi. We simulated the arrival pattern of aircraft and utilized stochastic optimization to arrive at the best runway-stands allocation for a day. Optimization is done using a GRG Non-Linear algorithm in the Frontline Systems Analytic Solver platform. We applied this model to eight representative scenarios of two different days. Our results show that without altering any physical infrastructure and using this stochastic simulation model, there is a potential 38.97% improvement in the average taxiing time of the arriving aircraft, assuming a constraint of simultaneous arrivals of two aircraft within a minute. A simulated run optimization technique, if applied at the IGIA, would produce huge savings in passengers’ time, additional fuel costs, and, after all, environmental degradation

Large scale synthesis of 2D graphene oxide by mechanical milling of 3D carbon nanoparticles in air

Graphene oxide (GO) is one of the important functional materials. Large-scale synthesis of it is very challenging. Following a simple cost-effective route, large-scale GO was produced by mechanical (ball) milling, in air, of carbon nanoparticles (CNPs) present in carbon soot in the present study. The thickness of the GO layer was seen to decrease with an increase in milling time. Ball milling provided the required energy to acquire the in-plane graphitic order in the CNPs reducing the disorders in it. As the surface area of the layered structure became more and more with the increase in milling time, more and more oxygen of air got attached to the carbon in graphene leading to the formation of GO. An increase in the time of the ball mill up to 5 hours leads to a significant increase in the content of GO. Thus ball milling can be useful to produce large-scale two-dimensional GO for a short time.Comment: 23 pages, 10 figure

Antibiotic Use Among Children Under 5 Years of Age in a Tertiary Care Hospital, Bangladesh

Antimicrobial resistance is common in low-middle-income countries caused by inappropriate and irrational use of antibiotics in humans and animals. Bangladesh has very limited information on antibiotic use and associated resistance. This study explored the prescribing pattern of antibiotics uses among children visiting a tertiary care hospital in Bangladesh. We conducted a crosssectional study among 400 hospitalized children less than 5 years of age from February to April, 2019, in a tertiary hospital in Bangladesh. Among the 400 children, >50% belonged to the age group for less than 1 year and >60% were male. The average hospital stay period was 3 days (range 1–14 days). The majority of the children had a history of respiratory illnesses (32.2%) and 31% had diarrhea. Most of the children (81.7%) were prescribed one or more antibiotics. The average number of antibiotics per child was 1.17. A combined form of antibiotics was prescribed in 17.43% of children. A total of 14 different antibiotics were prescribed. The most common antibiotic was ceftriaxone (62.39%), followed by azithromycin (18.65%). The parental route was mostly preferred (74.92%) for antibiotic administration. The antibiotic prescription was common in children less than 5 years of age visiting a tertiary level hospital. Most of the prescribed antibiotics were broad spectrum that can promote bacterial resistance. The study’s finding is useful to draw attention to the public health policymakers for taking necessary actions on the appropriate use of antibiotics among children in Bangladesh

Single cell fertilizer (SCF): Evidence to prove that bio-molecules are potent nutrient for plant growth

Fertilizers of various kinds are used for the cultivation of crop plants for hyper production of plant based food materials. The study used bio-molecules made in a bacterial cell. The experimental results showed tremendous effect on plant growth. These cellular molecules were made by treating the bacterial cells with lysozyme and protenase K. The wet/weight was increased in multiple folds compared to that of control sets. The fold of increase was 4.79 for rice, 2.77 for wheat, 1.89 for gram and 1.89 for pea when bacterial cellular molecules were used as fertilizer