Machine learning in 3D space gesture recognition

The rapid increase in the development of robotic systems in a controlled and uncontrolled environment leads to the development of a more natural interaction system. One such interaction is gesture recognition. The proposed paper is a simple approach towards gesture recognition technology where the hand movement in a 3-dimensional space is utilized to write the English alphabets and get the corresponding output in the screen or a display device. In order to perform the experiment, an MPU-6050 accelerometer, a microcontroller and a Bluetooth for wireless connection are used as the hardware components of the system. For each of the letters of the alphabets, the data instances are recorded in its raw form. 20 instances for each letter are recorded and it is then standardized using interpolation. The standardized data is fed as inputs to an SVM (Support Vector Machine) classifier to create a model. The created model is used for classification of future data instances at real time. Our method achieves a correct classification accuracy of 98.94% for the English alphabets’ hand gesture recognition. The primary objective of our approach is the development of a low-cost, low power and easily trained supervised gesture recognition system which identifies hand gesture movement efficiently and accurately. The experimental result obtained is based on use of a single subject

Firewalls Policies Based on Software Defined Networking: A survey

Software-Defined Networking (SDN) introduces granularity, visibility and flexibility to networking, which separates the control-logic from networking devices. SDN programmatically modifies the functionality and behaviour of network devices. It separates control plane and data plane, and thus provides centralized control. Though SDN provides better performance but there are some security issues that need to be taken care of. This includes firewalls, monitoring applications, IDS(Intrusion detection systems) etc. Therefore, this research work reviews the related approaches which have been proposed by identifying their firewall scope, their practicability, their advantages and drawbacks related with SDN. This paper describes the firewall policies as the forth new security challenges.Keywords: Software defined networking, Architecture, OpenFlow, Firewalls, Anomaly detectio

Are Machine Learning Based Intrusion Detection System Always Secure?:An insight into tampered learning

Machine learning is successful in many applications including securing a network from unseen attack. The application of learning algorithm for detecting anomaly in a Network has been fundamental since few years. With increasing use of machine learning techniques it has become important to study to what extent it is good to be dependent on them. Altogether a different discipline called ‘Adversarial Learning’ have come up as a separate dimension of study. The work in this paper is to test the robustness of online machine learning based IDS to carefully crafted packets by attacker called poison packets. The objective is to observe how a remote attacker can deviate the normal behavior of machine learning based classifier in the IDS by injecting the network with carefully crafted packets externally, that may seem normal by the classification algorithm and the instance made part of its future training set. This behavior eventually can lead to a poison learning by the classification algorithm in the long run, resulting in misclassification of true attack instances. This work explores one such approach with SOM and SVM as the online learning based classification algorithms

Nanotechnological innovation for the production of daughter less Tilapia, Oreochromis niloticus (Linnaeus, 1758)

The aim of present work was to develop a new Fadrozole (FDZ)-loaded Poly (D,L-lactide-co– glycolide) lactide:glycolide (50:50)(PLGA) nanoparticles for effective delivery of the masculinization drug, Fadrozole, as an alternative to commercially available masculinization agents like testosterone (dietary supplementation of 17 ?- methyltestosterone) which are steroids and banned in most EU countries. The FDZ-loaded PLGA NPs were pre-pared by solvent displacement technique. The particle size of FDZ-loaded PLGA NPs was analyzed using LICOMP particle size analyser. It was found to be in the range of 60±66.7 nm to 560±66.7 nm with average size of 201.4±66.7 nm, where the Zeta potential was estimated to be about -20.82 mV, a series of experiments were carried out to induce masculinization using FDZ-loaded PLGA nanoparticles during the sex differentiation period. Tilapia, Oreochromis niloticus fry were treated with FTZ-loaded PLGA nanoparticles at dosages 5, 25, 50 and 100ppm/kg diet for 10, 15 and 30 days. The results indicated an increase in the proportion of males with dosage and duration of treatment. The male percentage was 92.35±0.86 for T7(50 ppm) at 10 days, 97.76±1.12 for T7 (100 ppm) at 15 days and 100 % for both T6 (50ppm) and T7 (100 ppm) at 30 days. This is first time done by using nanotechnology efficiently in Tilapia species which is very important Fresh water aquaculture species in present era. Which showed increase the male population with lesser dose of nano-encapsulated Fadrozole (FDZ) loaded PLGA nanoparticles drug as compared with naked control Fadrozole (FDZ) drug delivery

Experiences with implementation of continuous positive airway pressure for neonates and infants in low-resource settings: A scoping review.

BACKGROUND: Continuous positive airway pressure (CPAP) is the gold standard of care in providing non-invasive positive pressure support to neonates in respiratory distress in high-resource settings. While safety has been demonstrated in low-resource settings, there is a lack of knowledge on the barriers and facilitators to proper implementation. OBJECTIVE: To identify and describe the barriers, facilitators, and priorities for future implementation of CPAP for neonates and infants in low-resource settings. METHODS: A systematic search (database inception to March 6, 2020) was performed on MEDLINE, Embase, Web of Science, CINAHL, Global Health, and the WHO Global Index Medicus using PRISMA-ScR guidelines. Original research articles pertaining to implementation of CPAP devices in low-resource settings, provider or parent perspectives and experiences with CPAP, cost-benefit analyses, and cost-effectiveness studies were included. Inductive content analysis was conducted. FINDINGS: 1385 article were screened and 54 studies across 19 countries met inclusion criteria. Six major themes emerged: device attributes, patient experiences, parent experiences, provider experiences, barriers, and facilitators. Nasal trauma was the most commonly reported complication. Barriers included unreliable electricity and lack of bioengineering support. Facilitators included training, mentorship and empowerment of healthcare providers. Device design, supply chain infrastructure, and training models were imperative to the adoption and sustainability of CPAP. CONCLUSION: Sustainable implementation of CPAP in low resource settings requires easy-to-use devices, ready access to consumables, and holistic, user-driven training. Further research is necessary on standardizing metrics, interventions that support optimal provider performance, and conditions needed for successful long-term health system integration

Observations on impact of stunting on breeding performance of farmed rohu Labeo rohita (Hamilton, 1822)

Breeding performance of stunted rohu Labeo rohita (Hamilton, 1822) was compared with normally reared rohu. Randomly selected stunted and normal fishes were tagged and reared together in a single earthen pond for broodstock development. Both groups exhibited growth enhancement during the broodstock development period, though normal fishes were found larger in size than the stunted fishes, after the rearing period. Gonadosomatic Index (GSI) of female fishes indicated a similar trend of ovary growth in both the group

Comparison of reproductive performance of Clarias batrachus (Linnaeus, 1758) collected from three Indian rivers

A study was conducted to compare the reproductive performance of Clarias batrachus (Linnaeus, 1758) collected from three different rivers viz., Krishna in Andhra Pradesh, Godavari in Maharashtra and Narmada in Madhya Pradesh. Twenty pairs of brooders from each location were randomly selected and induced with pituitary extract (P) and ovaprim (O). Reproductive performance in terms of stripping percentage, pseudo gonado-somatic index, spawning, fecundity, fertilisation rate, hatching rate, and survival rate as well as fry rearing performance in terms of percentage weight gain, specific growth rate (SGR)and survival rate were monitored. Brooders collected from Godavari exhibited significantly (p<0.05) higher values for all the reproductive performances indicators compared to brooders collected from Narmada and Krishna rivers. But fishes collected from Krishna River exhibited significantly higher (p<0.05) fry survival. Fry produced from Godavari brooders attained highest (p<0.05) percentage weight gain (1085.88±37.41), SGR (17.61±0.19) and fry survival rate (43.67±1.45) in comparison to Narmada. Results clearly indicated that reproductive performance varied significantly among the brooders collected from the three different rivers

Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2)

The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia