Tactical approach to identify and quarantine spurious node participation request in sensory application

Securing Wireless Sensor Network (WSN) from variable forms of adversary is still an open end challenge. Review of diversified security apprroaches towards such problems that they are highly symptomatic with respect to resiliency strength against attack. Therefore, the proposed system highlights a novel and effective solution that is capable of identify the spurios request for participating in teh network building process from attacker and in return could deviate the route of attacker to some virtual nodes and links. A simple trust based mechanism is constructed for validating the legitimacy of such request generated from adversary node. The proposed system not only presents a security solution but also assists in enhancing the routing process significantly. The simulated outcome of the study shows that proposed system offers significantly good energy conservation, satisfactory data forwarding performance, reduced processing time in contrast to existing standard security practices

Study of diffusion in copper chromite catalyst under reaction conditions

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GPGPU Processing in CUDA Architecture

The future of computation is the Graphical Processing Unit, i.e. the GPU. The promise that the graphics cards have shown in the field of image processing and accelerated rendering of 3D scenes, and the computational capability that these GPUs possess, they are developing into great parallel computing units. It is quite simple to program a graphics processor to perform general parallel tasks. But after understanding the various architectural aspects of the graphics processor, it can be used to perform other taxing tasks as well. In this paper, we will show how CUDA can fully utilize the tremendous power of these GPUs. CUDA is NVIDIA's parallel computing architecture. It enables dramatic increases in computing performance, by harnessing the power of the GPU. This paper talks about CUDA and its architecture. It takes us through a comparison of CUDA C/C++ with other parallel programming languages like OpenCL and DirectCompute. The paper also lists out the common myths about CUDA and how the future seems to be promising for CUDA.Comment: 16 pages, 5 figures, Advanced Computing: an International Journal (ACIJ) 201

Silabifikasi Grafemis Bahasa Indonesia Menggunakan Fuzzy K-Nearest Neighbor In Every Class

Pengenalan ucapan atau lebih dikenal dengan automatic speech recognition (ASR) merupakan suatu proses untuk mengubah sinyal ucapan yang dikenali kedalam bentuk tulisan. Dalam serangkaian proses tersebut, silabifikasi merupakan salah satu proses yang sangat penting. Silabifikasi merupakan proses untuk membagi kata dalam bentuk silabel atau suku kata. Dalam bahasa Indonesia proses silabifikasi dapat diterapkan pada barisan fonem atau barisan grafem. Penerapan silabifikasi pada barisan grafem akan menimbulkan berbagai masalah diantaranya ambiguitas serta pengecualian dalam sebuah kata. Untuk mengatasi masalah tersebut, akan diterapkan sebuah metode berbasis statistik yang bekerja secara lokal yang akan menentukan titik silabel dalam sebuah kata berdasarkan jarak kedekatan antar data uji terhadap k-nearest neighbor pada setiap kelas serta informasi Fuzzy ambiguity yang akan lebih mengoptimasi performansi dari penerapan metode tersebut. Metode yang digunakan yaitu Fuzzy K-Nearest Neighbor in Every Class (FKNNC). FKNNC menggabungkan metode K-Nearest Neighbor (KNN) dan Fuzzy System dalam penerapannya. Metode FKNNC dipilih karena dapat menangani masalah ambiguitas yang dihasilkan dari klasifikasi KNN. Selain itu metode FKNNC merupapakan metode yang sederhana, mudah dan cepat, serta memberikan hasil akurasi yang tinggi. Metode ini dianggap mampu untuk menyelesaikan masalah silabifikasi yang akan diterapkan pada barisan grafem. Penerapan FKNNC untuk masalah silabifikasi grafemis bahasa Indonesia memberikan rata-rata hasil syllable error rate SER sebesar 7.928% untuk dataset nama orang dan 2.484% untuk dataset dari KBBI. Kata Kunci: Silabifikasi bahasa Indonesia, grafem, Fuzzy K-Nearest Neighbor in Every Class

Trends in the Seroprevalence of Dengue in a Tertiary Care Hospital of North Karnataka, India

Introduction: Dengue virus of the Flaviviridae family is the causative agent of dengue fever. The Aedes aegypti mosquito is the main vector for its transmission. Though, the cases of dengue fever are mild and self-resolving, there can be fatal complications like Dengue Haemorrhagic Fever (DHF) and Dengue Shock Syndrome (DSS). Aim: To study the trends in the seroprevalence of dengue in serum samples of suspected cases. Materials and Methods: The present study was a crosssectional study which was conducted from January 2017 to December 2019, at Belagavi Institute of Medical Sciences (BIMS), Belagavi, Karnataka, India. The serum samples were collected from suspected dengue fever cases and tested by Immunoglobulin M (IgM) capture Enzyme Linked Immunosorbent Assay (ELISA), to detect IgM antibody against dengue virus and NS1 capture ELISA for dengue NS1 (nonstructural protein 1) antigen using ELISA kits manufactured by National Institute of Virology (NIV), Pune. The tests were performed according to the manufacturer’s instruction. The data obtained from the study was analysed using descriptive statistics. Results: A total of 8,992 serum samples were tested over a period of three years, of which 1,340 (14.90%) were positive for dengue infection. Among which 1,048 (78.21%) were positive for anti-dengue IgM antibodies, 109 (8.13%) were positive for NS1 antigen and 183 (13.66%) were positive for both. Most affected age group was 11-20 years and male to female ratio was 1.18:1. The seasonal peak was observed in monsoon i.e. month of June (15.52%) followed by August (12.02%). Conclusion: Seroprevalence of dengue infection being critical signifies the importance of detection of both IgM antibodies and NS1 antigen for diagnosis of dengue infection. The study also identifies younger population being at higher risk and also monsoon as the most favourable season for viral transmission in this region and highlights the importance of concerted efforts towards disease control and prevention

Advanced Women Security System Based on IOT

It is the country where women are considered as most respected and safer and . Safety of women matters a lot whether at home or outside the home or working place. Last few crimes against women especially most common crimes against women are rape, dowry deaths, sexual harassment at home or work place, kidnapping and abduction, cruelty by husband, relatives, assault on a woman, and sex trafficking and are very dread and fearful. Because of such crimes, women security in India has become a doubtful and critic topic. This paper represents an Android Application for the Safety of Women .This application simply includes safety hardware device and main cloud server which manage all synchronized control over system This app recognize the location through tracking service i.e. GPS and sends a message comprising this location coordinates to the registered contacts and also send messages to near by mobile which are having this app

Molecular Characterization of Echinococcus granulosus Sensu Lato from Livestock in North Khorasan Province, Iran

Background: Echinococcus granulosus is one the most important zoonotic disease which is endemic in worldwide. Molecular method has allowed discrimination of different genotypes (G1-G10), providing new approach in development of prevention and control program of hydatid cyst. This study was conducted to identify the genotypes of E. granulosus from domestic animals in nine districts of North Khorasan Province using the mitochondrial cox1 gene sequence. Methods: Overall, 122 hydatid cyst were collected during 2016-2017 from sheep (n=43) and cattle (n=79). DNA was extracted from protoscoleces and germinal layers and amplified by PCR. Phylogenetic analysis was also performed by analyzing the complete nucleotide sequences of mitochondrial cytochrome C oxidase subunit 1 (cox1) of E. granulosus genotypes from various locations. Results: Sequencing of the amplified products revealed the presence of G1 as dominant genotype, G3 and Echinococcus canadenesis in one isolate each. Altogether, 9 haplotypes were detected based on cox1 gene. Haplotype 3 was the common variant that found in 58 including 42 cattle and 16 sheep. Conclusion: This study provided knowledge on the identity of E. granulosus cysts collected from sheep and cattle in North Khorasan Province. Furthermore, these results showed the potentials of sheep as a main source of infection to humans, contributing the transmission and maintain of hydatid cyst in this region

Improving mechanical, thermal and damping properties of niti (Nitinol) reinforced aluminum nanocomposites

In the present study, Ni50Ti50 (NiTi) particle reinforced aluminum nanocomposites were fabricated using microwave sintering and subsequently hot extrusion. The effect of NiTi (0, 0.5, 1.0, and 1.5 vol %) content on the microstructural, mechanical, thermal, and damping properties of the extruded Al-NiTi nanocomposites was studied. Compared to the unreinforced aluminum, hardness, ultimate compression/tensile strength and yield strength increased by 105%, 46%, 45%, and 41% while elongation and coefficient of thermal expansion (CTE) decreased by 49% and 22%, respectively. The fabricated Al-1.5 NiTi nanocomposite exhibited significantly higher damping capacity (3.23 × 10−4) and elastic modulus (78.48 ± 0.008 GPa) when compared to pure Al.Scopu

Prevalence and burden of HBV co-infection among people living with HIV:A global systematic review and meta-analysis

Globally, in 2017 35 million people were living with HIV (PLHIV) and 257 million had chronic HBV infection (HBsAg positive). The extent of HIV-HBsAg co-infection is unknown. We undertook a systematic review to estimate the global burden of HBsAg co-infection in PLHIV. We searched MEDLINE, Embase and other databases for published studies (2002-2018) measuring prevalence of HBsAg among PLHIV. The review was registered with PROSPERO (#CRD42019123388). Populations were categorized by HIV-exposure category. The global burden of co-infection was estimated by applying regional co-infection prevalence estimates to UNAIDS estimates of PLHIV. We conducted a meta-analysis to estimate the odds of HBsAg among PLHIV compared to HIV-negative individuals. We identified 506 estimates (475 studies) of HIV-HBsAg co-infection prevalence from 80/195 (41.0%) countries. Globally, the prevalence of HIV-HBsAg co-infection is 7.6% (IQR 5.6%-12.1%) in PLHIV, or 2.7 million HIV-HBsAg co-infections (IQR 2.0-4.2). The greatest burden (69% of cases; 1.9 million) is in sub-Saharan Africa. Globally, there was little difference in prevalence of HIV-HBsAg co-infection by population group (approximately 6%-7%), but it was slightly higher among people who inject drugs (11.8% IQR 6.0%-16.9%). Odds of HBsAg infection were 1.4 times higher among PLHIV compared to HIV-negative individuals. There is therefore, a high global burden of HIV-HBsAg co-infection, especially in sub-Saharan Africa. Key prevention strategies include infant HBV vaccination, including a timely birth-dose. Findings also highlight the importance of targeting PLHIV, especially high-risk groups for testing, catch-up HBV vaccination and other preventative interventions. The global scale-up of antiretroviral therapy (ART) for PLHIV using a tenofovir-based ART regimen provides an opportunity to simultaneously treat those with HBV co-infection, and in pregnant women to also reduce mother-to-child transmission of HBV alongside HIV