Volume 6 | Issue 1 |

 Abstract

In this paper, we propose two new strategies to adequately take care of this issue by taking in two discriminative proclivity networks from these feebly named pictures. We initially propose another technique called regularized low-rank portrayal by viably using pitifully administered data to take in a low-rank remaking coefficient framework while investigating different subspace structures of the information. In particular, by acquainting an uncommonly planned regularizer with the low-rank portrayal strategy, we punish the comparing reproduction coefficients identified with the circumstances where a face is recreated by utilizing face pictures from different subjects or by utilizing itself. With the derived recreation coefficient network, a discriminative fondness framework can be gotten. In addition, we likewise build up another separation metric learning strategy called questionably directed basic metric learning by utilizing feebly administered data to look for a discriminative separation metric. Subsequently, another discriminative fondness lattice can be acquired utilizing the closeness grid (i.e., the portion framework) in view of the Mahalanobis separations of the information. Watching that these two liking networks contain correlative data, we additionally join them to get an intertwined liking lattice, in view of which we build up another iterative plan to derive the name of each face. Complete tests show the adequacy of our approach.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Af?nity matrix, caption-based face naming, distance metric learning, low-rank representation (LRR).

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

POS, parts of speech, tagger, Chhattisgarhi, Natural Language processing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Violence against women stands as a true hindrance to the achievement of social and economic development of the country. In this study, an attempt is made to analyze reported crimes committed against women in Mizoram. This paper also attempts to examine the link between female literacy rate, female working population and Indian Penal Code (IPC) case registered on crime against women in Mizoram. In the course of the study, it is found that specific conclusion cannot be drawn on any specific aspect of cruelty against women in the country because most of such cases are never reported to the police or Judiciary or law enforcing authority. Even after rising levels of education, economic empowerment and several laws and mechanisms to prevent crime against women, a countless number of women continue to suffer in silence.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crime against Women, Domestic Violence, Indian Penal Code (IPC), Rape, Sexual Harassment.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: The bottom core sediment samples of two perennial ponds were collected and to determine the heavy metal concentrations and pollution status of metals such as Fe, Mn, Cr, Cu, Pb, Zn, Al, Ni, Cd, Na, K, Ca and Mg. To assess the metal contamination in pond sediments, sediment quality guidelines of metals (WSR) were applied. The metal contamination in the study pond sediments were also evaluated by applying enrichment ratio (ER), contamination factor (CF), geo-accumulation index (Igeo) and pollution load index (PLI). Based on enrichment ratio (ER), the core sediment samples of Pond I (Manavalakurichy) and pond II (Thiruthuvapuram) indicating deficiency to minimal enrichment for Cu, Ni, Cd, Al, Cr, Zn and Mn. According to contamination factor (CF), K and Mg were responsible for moderate contamination; Na shows considerable contamination and the metals such as Fe, Mn, Cr, Cu, Zn, Al, Ni and Cd indicating low contamination in pond I and II. According to Igeo, pond I sediments were unpolluted to moderately polluted by Pb. Based on PLI all sampling stations in both study ponds suggest no overall pollution of site quality.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Perennial ponds, core sediments, metal contamination

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

bhaarateey darshan ke vibhinn sampradaayon mein moksh kee avadhaarana aur aadhunik jeevan mein moksh kee praasangikata

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

bhaarateey darshan ke vibhinn sampradaayon mein moksh kee avadhaarana aur aadhunik jeevan mein moksh kee praasangikata

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

gandee bastee mein nivaasarat logon ka saamaajik, aarthik evan svaasthy ka samaajashaatreey adhyayan chhatteesagadh raajy ke bhilaee nagar ke vishesh sandarbh mein

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

gandee bastee mein nivaasarat logon ka saamaajik, aarthik evan svaasthy ka samaajashaatreey adhyayan chhatteesagadh raajy ke bhilaee nagar ke vishesh sandarbh mein

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bamboo leaf ash, XRD, XRF, Pozzolanic activity, Compressive strength, Sorptivity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

adbhut raamaayan ke parisheelan mein vyaakaran kee upayogita

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

adbhut raamaayan ke parisheelan mein vyaakaran kee upayogita

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Segmentation is known as a process of partitioning an images space into some non overlapping meaningful homogeneous parts. The remotely sensed images can be classified by using segmentation depends on gray level thresholding and pixel classification. This article describes pixel classification algorithm based on support vector machine algorithm. Support Vector Machine: Support Vector Machine is a learning architecture that performs structural risk minimization. When a training set data is given the SVM obtains optimal separating hyper plane.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Comparative Study on Segmentation of Image using Support Vector Machine

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper presents the comprehensive analysis of handwritten character Recognition of MODI script. The conversion of a handwritten character into the machine-readable format is nothing but a Handwritten Character Recognition Process. MODI document is available in many fields like Art, Commerce, Social Studies, Health Care, etc. The handwritten character of MODI script is cursive in nature, because of this reason the difficulties level is increase to identify the correct MODI handwritten characters. This research paper showcases the proposed methodology to analyze the handwritten MODI character from a digital image. This proposed methodology deals with the MODI character within the image and it will be used for MODI script transliteration. The latest research in Handwritten Character Recognition has used different types of method, classifiers, and features to reduce the complexity of recognizing handwritten text. In addition, this research paper analyses the different segmentation techniques of Image Processing, which is useful in character identification and mapping. The current paper is categorized into three sections. In First Section is the Introduction of MODI script, Steps of Second Section is the proposed methodology for MODI character Recognition. And in Third Section the Conclusion based on proposed methodology is mention.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Handwritten Character Recognition, MODI Script, Digital image, Pattern Recognition Techniques, Character segmentation Techniques.

  License

Creative Commons Attribution 4.0 and The Open Definition