Query of image content using Wavelets and Gibbs-Markov Random Fields

The central theme of this thesis is the application of Wavelets and Random Processes to content-based image query (on texture patterns, in particular). Given a query image, a content-based search extracts a certain representative measure (or signature) from the query image and likewise for all the target images in the search archive. A good representative measure is one that provides us with the ability to differentiate easily between different patterns. A distance measure is computed between the query properties and the properties of each of the target images. The lowest distance measure gives us the best target match for the particular query. Typically, the measure extraction on the target archive is performed as a pre-processing step. The thesis features two different methods of measure extraction. The first one is a wavelet based measure extraction method. It builds upon a previously documented method, but adds subtle modifications to it so that it now lends much much more effectiveness to pattern matching on texture patterns and on images of unequal sizes. The modified algorithm as well as the mathematics behind it is presented. The second method uses a Markov Random Field to model the texture properties of regions within an image. The parameters of the model serve as the texture measure or signature. Wavelet-based multiresolution is then used to speed up the search. The theory of Markov Random Fields, their equivalence with Gibbs Random Fields, the Hammerseley-Clifford theorem and parameter estimation techniques are presented. In addition to pattern matching these texture signatures have also be used for controlled image smoothing and texture generation. The results from both methods are encouraging. One hopes that these methods find widespread use in image query applications

Tourist lodge at nujhum dwip, Hatiya.

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Architecture, 2015.Cataloged from PDF version of thesis.This paper is an attempt to understand the context of tourism at Nijhum Dwip (Chawr Osman). Data collected through site visits and literary sources are put forward here to analyse the site and its surroundings. The aim of the study is to help design a Tourist Lodge at a 47 acres site along the south western edge of the island. The primary concern of investigation are (i) the Keora Forest (National Park), (ii) the local human living pattern and the surrounding ecosystem, and (iii) the site’s vulnerability to Tropical Cyclones. It is expected that these collection of data and its analysis will contribute to develop a suitable set of program and the capacity of the envisaged Tourist Lodge.Imtiaz HossainB. Architectur

Mobile Broadband Possibilities considering the Arrival of IEEE 802.16m & LTE with an Emphasis on South Asia

This paper intends to look deeper into finding an ideal mobile broadband solution. Special stress has been put in the South Asian region through some comparative analysis. Proving their competency in numerous aspects, WiMAX and LTE already have already made a strong position in telecommunication industry. Both WiMAX and LTE are 4G technologies designed to move data rather than voice having IP networks based on OFDM technology. So, they aren't like typical technological rivals as of GSM and CDMA. But still a gesture of hostility seems to outburst long before the stable commercial launch of LTE. In this paper various aspects of WiMAX and LTE for deployment have been analyzed. Again, we tried to make every possible consideration with respect to south Asia i.e. how mass people of this region may be benefited. As a result, it might be regarded as a good source in case of making major BWA deployment decisions in this region. Besides these, it also opens the path for further research and in depth thinking in this issue.Comment: IEEE Publication format, ISSN 1947 5500, http://sites.google.com/site/ijcsis

An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry

Metal Additive Manufacturing (MAM) has reshaped the manufacturing industry, offering benefits like intricate design, minimal waste, rapid prototyping, material versatility, and customized solutions. However, its full industry adoption faces hurdles, particularly in achieving consistent product quality. A crucial aspect for MAM's success is understanding the relationship between process parameters and melt pool characteristics. Integrating Artificial Intelligence (AI) into MAM is essential. Traditional machine learning (ML) methods, while effective, depend on large datasets to capture complex relationships, a significant challenge in MAM due to the extensive time and resources required for dataset creation. Our study introduces a novel surprise-guided sequential learning framework, SurpriseAF-BO, signaling a significant shift in MAM. This framework uses an iterative, adaptive learning process, modeling the dynamics between process parameters and melt pool characteristics with limited data, a key benefit in MAM's cyber manufacturing context. Compared to traditional ML models, our sequential learning method shows enhanced predictive accuracy for melt pool dimensions. Further improving our approach, we integrated a Conditional Tabular Generative Adversarial Network (CTGAN) into our framework, forming the CT-SurpriseAF-BO. This produces synthetic data resembling real experimental data, improving learning effectiveness. This enhancement boosts predictive precision without requiring additional physical experiments. Our study demonstrates the power of advanced data-driven techniques in cyber manufacturing and the substantial impact of sequential AI and ML, particularly in overcoming MAM's traditional challenges

Ownership structure and firm performance: Evidence manufacturing companies listed in Dhaka Stock Exchange

Purpose: This study aims at examining the relationship between ownership structure and firm performance about manufacturing companies listed in Dhaka Stock Exchange (DSE). Research Methodology: The analysis empirically uses dynamic panel data from 15 pharmaceutical and chemical companies enlisted in Dhaka Stock Exchange (DSE). The study period was 2011-2020. The study used panel data regression analysis. Results: The study confirms that sampled companies' financial performance represented by ROA and ROE is significantly influenced by institutional ownership, ownership concentration, and foreign ownership whereas, negatively influenced by managerial ownership and insider ownership. The study didn't find any noteworthy association between block holders' ownership with firms' performance. Contribution: This study keeps a significant role in understanding the ownership structures’ influence on firms’ performance. More specifically the policymakers may consider the study for implementing the relevant issues. Limitations: The study's results were restricted to 15 Bangladeshi pharmaceutical and chemical companies enlisted in DSE and could not be applied to other companies doing business in Bangladesh

INDUCED SPAWNING AND LARVAL DEVELOPMENT OF VIETNAMESE KOI, Anabas testudineus (Bloch, 1792), USING SALMON GONADOTROPIN RELEASING HORMONE ANALOGUE (S-GnRHA)

The present research work has been carried out to obtain evidence on breeding and embryonic growth of A. testudineus by using S-GnRHa. Fish were injected with three different doses (0.25, 0.5, and 1.0 mL/kg body weight) of synthetic hormone S-GnRHa each with three replications, where male brood fish received half of the doses of female. The fecundity of A. testudineus was ranged from 47,227 to 77,561 during the study period and except control group all the hormone received group ovulated within 12 hours of hormone injection. Among all groups, the highest fertilization rate (89.33%), highest hatching rate (79.5%) as well as highest survival rate (67.0%) was obtained at 0.5 mL/kg body weight hormone dose recipient group. The fertilized egg’s diameter was recorded as 77.59 ± 3.50 µm. The first cleavage had appeared within 18-25 min of fertilization and eventually the morula, blastula, and gastrula stages were observed at 3:10 h, 4 h, and 5:30 h, respectively after fertilization. Larvae with distinguished head, body form and tail appendage spotted between 17-22 h and the larvae started hatching at 19 h after fertilization. The average length of larvae accounted as 105.41 ± 3.73 µm. The findings of present study revealed that 0.5 mL/kg S-GnRHa could be efficient dose for successful induced breeding of A. testudineus

The Impact of Technological and Marketing Innovations on Retailing Industry: Evidence of India

Innovation is usually linked with technology-based change. Retailers form a significant sector in the developed economies and also are picking up in the developing economies. There have been few studies in the area of innovation in the retail industry in both conceptual as well as empirical points of view. The objective of this study is to study the impact of marketing and technological innovations on the retail industry. The sample of the study was drawn from the customers who live in the city of Aligarh in India. The study is conclusive, descriptive and is based on a single cross-sectional research design. Quantitative data was generated on the basis of the research instrument (a questionnaire). The study concluded that technological innovation is more important than marketing innovation with respect to World of Mouth (WOM) referral and satisfaction. Furthermore, the study revealed that technological innovation has an impact on store image, customer value, brand store equity, satisfaction, WOM referral, and WOM activity. The study also recommended that a retailer can take some advantages of introducing new technologies. This means investing in technologies would help in increasing market share and competitiveness of the retail sector in the long-run

Genetic diversity analysis of some Bangladeshi aromatic rice (Oryza sativa L.) using simple sequence repeat markers (SSRM)

In order to germplasm management, conservation, parental identification and proper utilization of aromatic rice germplasm of Bangladesh genetic diversity assessment and molecular characterization is necessary. We used ten microsatellite markers across twenty aromatic rice landraces along with four improved varieties to discriminate and characterize among them. The number of alleles per locus ranged from 2 to 8, with an average of 4.30 alleles across 10 loci. A total of 43 polymorphic alleles were detected. The values of Polymorphic information content (PIC) ranged from 0.217 to 0.835 (average 0.495) which indicate high genetic diversity among the studied aromatic rice genotypes. It was concluded by the PIC value of RM5339 that it might be the finest marker for diversity estimation and characterize of these aromatic rice genotypes, followed by RM334, RM414 and RM28502 markers. The UPGMA cluster dendrogram constructed in this study identified seven clusters with a correlation coefficient 0.874. Molecular characterization of aromatic rice landraces of Bangladesh exhibited large variations among the genotypes. Five rice genotypes namely BRRI dhan38, BRRI dhan50, Bashmoti safed, Malaysira, Khas-kani showed highest genetic dissimilarity among the studied rice genotypes. The findings of this study would be useful for background selection in backcross breeding programs for aromatic rice improvement as well as identification of genetically distant and genetically close accessions for maintenance and conservation