Volume 8 | Issue 3 |

 Abstract

ABSTRACT-Recently, Machine Learning has got a succeed scope on multi-view representation. Since the performance of data mining methods is heavily dependent on the expressive power of data representation, multi-view representation learning has become a very promising topic with wide applicability. It is an emerging direction in data mining which considers learning with multiple views to improve the generalization performance. Multi-view learning is also known as data fusion or data integration from multiple feature sets. In general, multi-view representation learning is capable of learning more informative and compact representation which leads to an improvement in predictors� performance. Thus, multi-view representation learning has been widely applied in numerous real-world applications including cross-media retrieval, natural language processing, video analysis, and recommender system. We propose two major categories for multi-view representation learning: (I) multi-view representation alignment, which aims to capture the relationships among multiple different views through feature alignment; (II) multi-view representation fusion, which seeks to fuse the separate features learned from multiple different views into a single compact representation. Both strategies seek to exploit the complementary knowledge contained in multiple views to comprehensively represent the data. In this project we implement the concept of canonical correlation analysis to retrieve the multi data. Inspired by the success of deep learning, deep multi-view representation learning has attracted much attention in cross media retrieval due to its ability of learning much more expressive cross-view representation.

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 Keywords

MULTIVIEW REPRESENTATION

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

guru vina geevanasaya laksham n sidyati

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Creative Commons Attribution 4.0 and The Open Definition

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guru,agnanam

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Creative Commons Attribution 4.0 and The Open Definition

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Resource constrained sensing devices are being used widely to build and deploy self-organizing wireless sensor networks for a variety of critical applications such as smart cities, smart health, precision agriculture and industrial control systems. A Data Stream Manager (DSM) at the server collects the data streams to perform real time analysis and decision-making for these critical applications. A malicious adversary may access or tamper with the data in transit. One of the challenging tasks in such applications is to assure the trustworthiness of the collected data so that any decisions are made on the processing of correct data. Assuring high data trustworthiness requires that the system satisfies two key security properties: confidentiality and integrity. To ensure the confidentiality of collected data, we need to prevent sensitive information from reaching the wrong people by ensuring that the right people are getting it. Sensed data are always associated with different sensitivity levels based on the sensitivity of emerging applications are sensed data types or the sensing devices. Providing multilevel data confidentiality along with data integrity for big sensing data streams in the context of near real time analytics is a challenging problem. We propose a Selective Encryption (SEEN) method to secure big sensing data streams that satisfies the desired multiple levels of confidentiality and data integrity. Our method is based on two key concepts: common shared keys that are initialized and updated by DSM without requiring retransmission and a seamless key refreshment process without interrupting the data stream encryption/decryption. A novel scheme to secure a multi-hop network programming protocol through the use of multiple one-way hash chains is proposed. The scheme is shown to be lower in computational, power consumption and communication costs yet still able to secure multi-hop propagation of program images.

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 Keywords

Big Data, Data Stream Manager, Selective Encryption, confidentiality, multi-hop

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Creative Commons Attribution 4.0 and The Open Definition

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Creativity is the gateway to innovative outcomes that are important to any high performance team�s ability to deliver the results needed by their clients and customers. Creativity is not a myth that is the result of magic, madness or mystery. Instead, creativity can be influenced by variables you can control and affect! Increased creativity and problem solving skills will help to ensure that the desired outcome of all engagements and work is successfully completed in a timely and cost effective manner. Creativity is a trait that exists in everyone. Regardless of individuals� experiences with creativity, it is a disposition we can nurture and cultivate. Therfore, in order to assess the issue on attitude towards the development of creative thinking of prospective teachers the researcher used survey method with 200 samples to study the objectives with respect to gender, streams of study, medium of instructions and locality. The questionnaire on creative thinking inventory prepared and validated by the researcher was executed. The results show that there is a significant difference between the means scores of attitude towards the development of creative thinking of prospective teachers on the basis of science and arts, arts and commerce, medium of instructions and locality whereas there is no significant difference between the means scores of attitude towards the development of creative thinking of prospective teachers on the basis of gender and science and commerce.

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innovative, creativity, disposition, creative thinking, prospective teachers

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Creative Commons Attribution 4.0 and The Open Definition

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Communication between the Speech-impaired and normal people has always been difficult. It is a challenge to develop an appropriate technology to help these people communicate with others. Recognizing the sign language of deaf and dumb people is the only way that offers speech-impaired a proper platform to easily communicate with the normal people. According to Census 2011, out of 6.79 crore people 21,932 people are speech-impaired in Tamil Nadu who speak Tamil Language. It is a tedious process to make all the normal people learn the sign language, but whereas it is an optimal process for a machine to do this job. There are numerous applications developed for recognizing American Sign Language (ASL), but few efficient applications for recognizing Dravidian Sign Language are developed. So, the goal is to develop a gesture recognition system for Dravidian Sign Language (Tamil) that efficiently translates the sign language into an equivalent Tamil text. This project bridges the communication gap between the speech-impaired and normal people with the help of Human-Computer Interaction (HCI) by using the CNN (Convolutional Neural Networks) technique.

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Convolutional Neural Networks (CNN), Tamil Sign Language (TSL), Region of Interest (ROI)

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Creative Commons Attribution 4.0 and The Open Definition

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The main purpose of this paper is to develop a true time bus tracking system to boost current public-service corporation system and reduce the workload of bus management team. The poor services provided by public-service corporation providers are because majority of them are still implementing manual work. Moreover, passengers are impatient while they're waiting in stop because they're unable to grasp exactly how long to attend and where the following coming bus is. We are acting on the project to bridging the demand-supply gap, i.e the demand means what percentage people using the town bus and provides is what percentage buses are required to satisfy the demand for his or her safe transportation. the important time bus tracking are provided to user source stop and destination stop therefore the user can conveniently manage his/her Work. Logic used for our project are as follows: (Supply of buses=demand of individuals /capacity of bus) So, in step with the demand of peoples bus are provide on particular time.

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GPS, GSM, Android Studio, City Bus Tracking, Google Map.

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Creative Commons Attribution 4.0 and The Open Definition

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The perceptual effects of noise reduction differ between hearing aids. The results agree well with those of normal-hearing listeners in a previous study. None of the noise-reduction algorithms improved speech intelligibility, but all reduced the annoyance of noise. The noise reduction that scored best with respect to noise annoyance and preference had the worst intelligibility scores. The trade-off between intelligibility and listening comfort shows that preference measurements might be useful in addition to intelligibility measurements in the selection of noise reduction. The speech intelligibility of indoor public address systems is degraded by reverberation and background noise. This paper proposes a preprocessing method that combines speech enhancement and inverse filtering to improve the speech intelligibility in such environments. An energy redistribution speech enhancement method was modified for use in reverberation conditions, and an auditory-model-based fast inverse filter was designed to achieve better dereverberation performance. An experiment was performed in various noisy, reverberant environments, and the test results verified the stability and effectiveness of the proposed method.

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An approach to Intelligibility Improvement and Noise Reduction in Speech Processing Applications

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Helical Piles popularly used in the area of engineering applications providing stability against horizontal loads of tension, compression. Even the use of helical piles is increasing, the proper design and the outcome of helices parameter on the ultimate load is still under investigation. In this study, the behavior of helical piles under vertical loads in clayey soil examined through experimental research on model piles. Fixing various sizes of plates, some plates, and spacing of plates test conducted on rigid helical piles. Model helical piles made of 20mm diameter mild steel shafts to which mild steel plates of 100mm diameter welded. For comparison, a single straight cylinder with a diameter of 20mm was also tested. Test results revealed that the vertical capacity of the helical pile is higher than of straight shaft piles.

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helical pile, different number of plate, different number of plate thickness, and different number of spacing.

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Creative Commons Attribution 4.0 and The Open Definition

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The discovery of computer and subsequent development of information technology (IT) is one of the most significant achievements of the 20th century. It is widely held that information technology provides the mechanism by which educational institutions will become more effective and can gain competitive advantage through the employment of the techonology. The present quantitative study aims to find out the underlying factors of attitudes towards information technology among undergraduate professional students, through a standrized information technology attitude scale. The attitudes of the respondents were assessed in terms of various aspects of information technology, such as it�s importance and their uses, it�s effectiveness in the education process and it�s rate in daily life. The results of this study provide information for policy makers, and the researchers who are interested in understanding the factors that affect technology use by students in their learning.

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Creative Commons Attribution 4.0 and The Open Definition

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Undergraduate professionals, Information technology, Attitude;

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Creative Commons Attribution 4.0 and The Open Definition

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The response reduction/modification factor(R) is defined as an essential seismic design tool, usually used to specify the in-elasticity expected level in structure during earthquakes. The concept of response reduction/modification factor(R) depends on the observations that well detailed seismic framing systems can maintain large in-elastic deformations without collapse. When a RC structure is subjected to the lateral loads, a base shear, which is prominently higher than the actual structure response, is created. Thus, it possesses a significant amount of over-strength or reserve strength. Over-strength is developed because maximum lateral strength of any RC structure always exceeds its design strength. Once it enters the inelastic phase, it is capable of resisting and absorbing a large amount of seismic energy. Hence, seismic codes introduce a reduction in design loads, taking benefit of the fact that the structure possesses over-strength and ductility as per Asgarian and Shokrgozar (2009).This force reduction factor is called Response Reduction/Modification Factor(R). Furthermore, the aim of this research is to investigate the variation of seismic response of special RC structures with different configurations, such as elevated metro stations. Consequently, the response reduction factor can be evaluated. Then the calculated response reduction/modification factors (R) for reinforced concrete (RC) structures will be compared to those specified in ECP and the ASCE code.For this purpose, a three dimensional Finite Element Method was used for modelling the RC structure using ABAQUS V.6.14 program.

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 Keywords

Ductility Factor, Over strength Factor, Pushover analysis, Reduction Modification Factor, Time history analysis

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Creative Commons Attribution 4.0 and The Open Definition