Volume 5 | Issue 3 |

 Abstract

This paper presents a novel approach to object detection using deep convolutional neural networks and Big Data. The aim is to build an accurate, fast and reliable object detection system, which is a vital element of an autonomous robotic vision platform; it is a key element for object estimation and automated event based systems. Recent work in deep neural networks has led to the development of a state-of-the-art object detector termed Faster Region-based CNN (Mask R-CNN). This model, through transfer learning, for the task of object detection using imagery obtained from two modalities: color (RGB) and Near-Infrared (NIR). Early and late fusion methods are explored for combining the multi-modal (RGB and NIR) information. This leads to a novel multi-modal masked R-CNN model, which achieves state-of-the-art results compared to prior work with the F1 score, which takes into account both precision and recall performances improving from 0.781 to 0.812 for the detection of solid metal objects. In addition to improved accuracy, this approach is also much quicker to deploy for new objects, as it requires bounding box annotation rather than pixel-level annotation (annotating bounding boxes is approximately an order of magnitude quicker to perform). The model is retrained to perform the detection of four types of metal objects, with the entire process taking four hours to annotate and train the new model per solid block. A key benefit of Deep Learning is the analysis and learning of massive amounts of unsupervised data, making it a valuable tool for Big Data Analytics where raw data is largely unlabeled and un-categorized. In the present study, we explore how Deep Learning can be utilized for addressing some important problems in Big Data Analytics, including extracting complex patterns from massive volumes of data, semantic indexing, data tagging, fast information retrieval, and simplifying discriminative tasks.

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 Keywords

R-CNN, Mask RCNN, Deep Learning, bounding box annotation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Advertising (or advertizing) is a form of marketing communication used to persuade an audience to take or continue some action, usually with respect to a commercial offering, or political or ideological support. Advertising appeal gives a reason to buy a product. An advertising campaign may have one or more advertising appeal. One appeal can be used and it can have sub themes in themes in an advertising campaign. This paper examines the content analysis of present day advertisements. The objectives of the study were to study the different kinds of advertising appeals in the Services/Products and to know the most frequently used advertising appeals for the selected services/products in news paper advertisements. The researcher has collected the data during 1/8/2012 to 5/02/2014 through content analysis. A total of 124 advertisements were gathered from the news paper. A code sheet was developed to record the information. A simple percentage method was used to analyze the data. It has been found that Feature appeal is the most frequently preferred advertising appeal in the news paper advertisements for Services/products. So the Rational advertising appeals are the most frequently preferred advertising appeals in the news paper advertisements for services/products.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words: Advertising appeals, Rational Appeals, Feature Appeal, content analysis and News paper advertisements

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, design and implementation of area optimized aes based on fpga is proposed. The increasing need for protecting data communication in computer networks has led to development of several cryptography algorithms. The Advanced Encryption Standard (AES) is a computer security standard issued by the National Institute of Standards and Technology (NIST) intended for protecting electronic data. Its specification is defined in Federal Information Processing Standards (FIPS) Publication 197. The AES cryptography algorithm can be used to encrypt/decrypt blocks of 128 bits and is capable of using cipher keys of 128 bits wide (AES128). In this project, a hardware implementation of the AES128 encryption algorithm was proposed. A unique feature of the proposed pipelined design is that the round keys, which are consumed during different iterations of encryption, are generated in parallel with the encryption process. This lowers the delay associated with each round of encryption and reduces the overall encryption delay of a plaintext block. This leads to an increase in the message encryption throughput.

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 Keywords

DESIGN & IMPLEMENTATION,COMMUNICATION, DATA PROTECTING,FPGA

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents on investigation of site selection for wind turbine on the basis of wind flow characteristic at RGPV Hill-top. The purpose of this article is to addressing the general aspects of this area of knowledge and contextualizing it to perform an investigation on wind flow characteristics and to determine the Annual Energy Production (AEP) for previously installed wind turbines located at the same site. In this work, the recorded time series wind data fetched by the NRG Symphonie Data logger wind mast installed at Energy Park, RGPV campus. This data analyzed for a period of One year at the height of 20 meter, for studying the observed wind climate (OWC).The wind turbine site selection tool i.e. WAsP, presented in this paper provides insights into the most feasible sites for a given geographic area based on user inputs, and can assist for the further planning. The influences of roughness of the terrain, for the area were also taken into consideration, followed by the vector map of the area. These data were analyzed using WAsP software and regional wind climate of the area was determined, leading to a wind resource map of the whole site, providing vital details which helped in selecting the proposed turbine sites.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OWC, Generalized wind climate, Wind Rose, WAsP, AEP, wind power density

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A field experiment was conducted during kharif season of 2013-14 at main agriculture research station (MARS), Dharwad, Karnataka, India to study the levels of phosphorus with or without curing ( with FYM) and biofertilizers. Application of 80 kg P2O5/ha cured with FYM + PSB + VAM recorded significantly higher grain yield of 30.80 q/ha and straw yield of 45.40 q/ha. However, this treatment is closely followed by treatments RPP and 60 kg P2O5/ha cured with FYM +PSB + VAM with grain yield 29.17 and 28.27 q/ha and straw yield 43.30 and 41.97 q/ha. The application of 80 kg P2O5/ha cured with FYM + PSB + VAM resulted in the highest net returns of 63995 Rs/ha and benefit cost ratio of 3.30.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Soybean, FYM cured DAP, yield, economics and biofertilizers

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Biofabricated metal nanoparticles is under exploration due to wide biomedical applications and research interest in nanotechnology. Biosynthesis of gold nanoparticles was achieved by reduction of Gold (III) chloride hydrate (HAuCl4), using ginger rhizome (Zingiber officinale) extract. Then, biosynthesized gold (AuNPs) nanoparticles were characterized by using UV–Vis spectroscopy, FTIR, EDX and SEM.Antimicrobial activity of gold nanoparticles biosynthesized using Ginger also showed clear zones of inhibition of microbial growth indicating that gold nanoparticles synthesized from ginger has antimicrobial activity.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Gold nanoparticle, Zingiber officinale, UV-Vis, FTIR, Antimicrobial activity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Wavelength division multiplexing is a promising candidate for future Free space optical networks to provide ultra high capacity and high speed systems that can be accomplished with compact, light weight and lower power consumption optical equipments. This research article explores the performance enhancement of 16 X 20 Gb/s WDM-FSO system incorporating polarization diversity and modified return to zero advanced modulation format. The high speed system is attained to fulfill the wide bandwidth requirements of data services in FSO by employing WDM system at channel spacing of 50 GHz. In order to suppress the polarization crosstalk and nonlinearities among adjacent channels of WDM, a polarization interleaving technique is included in the system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Wavelength division multiplexing (WDM), Free space optical (FSO), SOP (state of polarization, PI (polarization interleaving), Polarization extinction ratio (PER)

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract:An experimentwere conductedon the effect of colour plastic mulches on plant height,days to fifty per cent flowering, leaf area indexunderdifferent irrigation levels. The treatments were laid out in split plot design with three replications and a non-mulched treatment as control.The plastic coloured mulches used were white on black, silver on black andblack. Theirrigation levels used were 60, 80, 100 and 120 per cent ET.The results indicated that the growth components of plant height, days to fifty per cent flowering and leaf area index were significantly influenced by drip irrigation levels. The maximum plant height (210 cm), least days to 50 per cent flowering (42 days) and highest leaf area index (3.60) were recorded under drip irrigation at 80 per cent ET with white on black plastic colour mulch when compared to other treatments throughout the growing period. This was followed by drip irrigation at 60 per cent ET with white on black plastic colour mulch (200 cm, 42.67 days and 3.45 respectively).

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 Keywords

Key words:Colour plastic mulch, Okra,Drip irrigation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Processing of the large amount of data their storage and retrieval in the cloud had became a major challenge in the cloud computing environment.In this paper we explore a semantic Search method for processing the large scale data volumes in the cloud. We use the hashing algorithms and flat structured addressing schemes for the retrieval of the data by using the semantic queries. Existing distributed storage frameworks for the most part neglect to offer a sufficient capacity for the semantic inquiries. To address this problem, we propose a near-real-time and cost-effective searchable data analytics methodology, called FAST. The idea behind FAST is to explore and exploit the semantic correlation within and among datasets via correlation-aware hashing and manageable flat-structured addressing to significantly reduce the processing latency, while incurring acceptably small loss of data-search accuracy. The near-real-time property of FAST enables rapid identification of correlated files and the significant narrowing of the scope of data to be processed. FAST supports several types of data analytics, which can be implemented in existing searchable storage systems. The close constant property of FAST empowers quick recognizable proof of connected records and the huge narrowing of the extent of information to be prepared. Here the data is processed by using the caching techniques and the data is retrieved by using the semantic query. This technique reduces the time delay for the retrieval of the data from the large scale storage systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A Semantic Image Search Method for Large Scale Storage Systems in Cloud

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main contribution of this paper is to propose a prototype design of hardware and software architecture for a railway condition monitoring system. In the range of recent years, sensing technologies has expanded widely, whereas sensor devices have become cheaper. This led to rapid expansion in condition monitoring of systems, structures, vehicles, and machinery that are using sensors. Wireless sensor networks can now be used for monitoring the railway infrastructure such as bridges, rail tracks, track beds, and many track equipment along with vehicle health monitoring such as chassis, bogies, wheels and wagons. The wireless sensors network technology for monitoring in the railway industry is used for analyzing systems, structures, vehicles, and machinery. Main focus is on practical engineering solutions, identification of sensor configurations and network topologies.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Asset management, condition monitoring, decision support systems, event detection, maintenance engineering, preventive maintenance, railway engineering, wireless sensor networks (WSNs).

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Creative Commons Attribution 4.0 and The Open Definition