Efficient binary cutting packet classification

Packet classification is the process of distributing packets into ‘flows’ in an internet router. Router processes all packets which belong to predefined rule sets in similar manner& classify them to decide upon what all services packet should receive. It plays an important role in both edge and core routers to provideadvanced network service such as quality of service, firewalls and intrusion detection. These services require the ability to categorize & isolate packet traffic in different flows for proper processing. Packet classification remains a classical problem, even though lots of researcher working on the problem. Existing algorithms such asHyperCuts,boundary cutting and HiCuts have achieved an efficient performance by representing rules in geometrical method in a classifier and searching for a geometric subspace to which each inputpacket belongs. Some fixed interval-based cutting not relating to the actual space that eachrule covers is ineffective and results in a huge storage requirement. However, the memoryconsumption of these algorithms remains quite high when high throughput is required.Hence in this paper we are proposing a new efficient splitting criterion which is memory andtime efficient as compared to other mentioned techniques. Our proposed approach known as (ABC) Adaptive Binary Cuttingproducesa set of different-sized cuts at each decision step, with the goal to balance the distribution offilters and to reduce the filter duplication effect. The proposed algorithmuses stronger andmore straightforward criteria for decision treeconstruction. Experimental results will showthe effectiveness of proposed algorithm as compared to existing algorithm using differentparameters such as time & memory. In this paper, no symmetrical size cut at each decision node, with aim to make a distribution of filters balanced and also to reduce redundancy in filter

Smart Cart with Automatic Billing, Product Information, Product Recommendation Using RFID & Zigbee with Anti-Theft

AbstractA supermarket is a place where customers come to purchase their daily using products and pay for that. So there is a need to calculate how many products sold and generate the bill for the customer. When we go to shopping mart for shopping, we have to work for selecting the right product. Also, after that, it is hectic to stand in line for billing all the goods. Hence, we are proposing to develop a smart shopping cart system that will keep the track of purchased products and also online transaction for billing using RFID and ZigBee. The system will also give suggestions for products to buy based on user purchase history from a centralized system. In this system, every product in Mart will have RFID tag, and every cart will be having RFID Reader and ZigBee attached to it. There will be a centralized system for the recommendation and online transaction. Moreover, also there will be RFID reader at the exit door for anti-theft

Formulation And Evaluation Of Osmotically Controlled Drug Delivery System Of An Anti-Diabetic Drug

Saxagliptine has a relatively short elimination half-life (2.5 h), thereby requiring twice or thrice daily dosing in patients, which may lead to non-compliance. Extended release formulation of Saxagliptine based on osmotic technology was developed and evaluated. Controlled Porosity osmotic tablets of Saxagliptine were developed using Self Pore forming agent Mannitol. Prepared tablets were evaluated for their Flow property, weight variation, hardness, friability and content uniformity. Tablets were coated with a semi permeable membrane using 6% w/v cellulose acetate Phthalate (CAP) in isopropyl alcohol and Methylene chloride and Polyethylene Glycol-400 as plasticizer. Drug release rate was increased as the increase of Mannitol amount in Core Tablet. Drug release was inversely proportional to weight gain but directly proportional to the Self pore forming agent. The drug release from developed formulations was independent of pH and agitation intensity of release media. The DSC and FTIR studies demonstrated that there was no interaction between polymers and drug. The optimized formulation was stable after one months of accelerated stability studie

Extended Ecological Restoration of Bacterial Communities in the Godavari River During the COVID-19 Lockdown Period: a Spatiotemporal Meta-analysis

The unprecedented COVID-19 pandemic has had major impact on human health worldwide. Whilst national and international COVID-19 lockdown and travel restriction measures have had widespread negative impact on economies and mental health, they may have beneficial effect on the environment, reducing air and water pollution. Mass bathing events (MBE) also known as Kumbh Mela are known to cause perturbations of the ecosystem affecting resilient bacterial populations within water of rivers in India. Lockdowns and travel restrictions provide a unique opportunity to evaluate the impact of minimum anthropogenic activity on the river water ecosystem and changes in bacterial populations including antibiotic-resistant strains. We performed a spatiotemporal meta-analysis of bacterial communities of the Godavari River, India. Targeted metagenomics revealed a 0.87-fold increase in the bacterial diversity during the restricted activity of lockdown. A significant increase in the resilient phyla, viz. Proteobacteria (70.6%), Bacteroidetes (22.5%), Verrucomicrobia (1.8%), Actinobacteria (1.2%) and Cyanobacteria (1.1%), was observed. There was minimal incorporation of allochthonous bacterial communities of human origin. Functional profiling using imputed metagenomics showed reduction in infection and drug resistance genes by − 0.71-fold and − 0.64-fold, respectively. These observations may collectively indicate the positive implications of COVID-19 lockdown measures which restrict MBE, allowing restoration of the river ecosystem and minimise the associated public health risk

Statistical based bioprocess design for improved production of amylase from halophilic bacillus sp. H7 isolated from marine water

Amylase (EC 3.2.1.1) enzyme has gained tremendous demand in various industries, including wastewater treatment, bioremediation and nano-biotechnology. This compels the availability of enzyme in greater yields that can be achieved by employing potential amylase-producing cultures and statistical optimization. The use of Plackett–Burman design (PBD) that evaluates various medium components and having two-level factorial designs help to determine the factor and its level to increase the yield of product. In the present work, we are reporting the screening of amylase-producing marine bacterial strain identified as Bacillus sp. H7 by 16S rRNA. The use of two-stage statistical optimization, i.e., PBD and response surface methodology (RSM), using central composite design (CCD) further improved the production of amylase. A 1.31-fold increase in amylase production was evident using a 5.0 L laboratory-scale bioreactor. Statistical optimization gives the exact idea of variables that influence the production of enzymes, and hence, the statistical approach offers the best way to optimize the bioprocess. The high catalytic efficiency (kcat/Km) of amylase from Bacillus sp. H7 on soluble starch was estimated to be 13.73 mL/s/mg

Robust decentralised output feedback sliding mode control technique-based power system stabiliser (PSS) for multimachine power system

In this paper, we propose a power system stabiliser (PSS) design scheme based on robust decentralised output feedback sliding mode control technique. We demonstrate the proposed technique on a 10-machine, 39-bus power system and compare it with classical PSS design. Although the proposed technique is based on linearised model of the nonlinear multimachine power system, the efficacy of the controller has been demonstrated by the simulation using nonlinear model

Statistical Based Bioprocess Design for Improved Production of Amylase from Halophilic Bacillus sp. H7 Isolated from Marine Water

Amylase (EC 3.2.1.1) enzyme has gained tremendous demand in various industries, including wastewater treatment, bioremediation and nano-biotechnology. This compels the availability of enzyme in greater yields that can be achieved by employing potential amylase-producing cultures and statistical optimization. The use of Plackett–Burman design (PBD) that evaluates various medium components and having two-level factorial designs help to determine the factor and its level to increase the yield of product. In the present work, we are reporting the screening of amylase-producing marine bacterial strain identified as Bacillus sp. H7 by 16S rRNA. The use of two-stage statistical optimization, i.e., PBD and response surface methodology (RSM), using central composite design (CCD) further improved the production of amylase. A 1.31-fold increase in amylase production was evident using a 5.0 L laboratory-scale bioreactor. Statistical optimization gives the exact idea of variables that influence the production of enzymes, and hence, the statistical approach offers the best way to optimize the bioprocess. The high catalytic efficiency (kcat/Km) of amylase from Bacillus sp. H7 on soluble starch was estimated to be 13.73 mL/s/mg

Relay-Free Sliding Mode Control Technique based Power System Stabilizer for Single Machine Infinite Bus System

The paper presents a new method for design of power system stabilizer (PSS) based on relay-free sliding mode control technique. The control objective is to enhance the stability and to improve the dynamic response of the single machine infinite bus (SMIB) system. We apply this relay-free sliding mode controller to design power system stabilizer for demonstrating the availability of the proposed approach.© IEE

Output feedback fuzzy sliding mode control technique based power system stabilizer (PSS) for single machine infinite bus (SMIB) system

The paper presents a new method for design of power system stabilizer based on fuzzy logic and output feedback sliding mode controller. The control objective is to enhance the stability and to improve the dynamic response of the single machine infinite bus(SMIB) system operating in different conditions. First, the control rules are constructed according to the concepts of output feedback sliding mode control, and the fuzzy sets, whose membership functions are defined. Then, hitting control, which guarantees the stability of control system, is developed. Finally, the hitting control is smoothed via the constructed heuristic control rules. We apply this output feedback fuzzy sliding mode controller to design power system stabilizer for demonstrating the availability of the proposed approach.© IEE