ELECTROMAGNETIC SURVEY DESIGN USING ARTIFICAL NEURAL NETWORKS

Acquiring geophysical information requires selection of the geophysical method based upon the defining physical property and a survey design with adequate resolution but cost effective based upon the size of the area to be surveyed. The objective of this study is to use artificial neural nets (ANNs) to design an optimal survey. The developed approach is tested for the case of soil pipe surveying using electromagnetics. Soil pipes are tortuous voids located within 1.5 m depth of the ground surface. They trend perpendicular to the slope and have cross-sectional dimensions on the order of millimeters to tens of centimeters. The contrast in electrical conductivity (EC) is significant especially if the soil pipe is filled with air. Based upon these characteristics an EM38B is chosen to survey the area. The EM38B is relatively fast and its maximum exploration depth is approximately 1.5m. The measured apparent electrical conductivity (ECa) is a dipole dependent weighted average over a soil volume of about 1m3. A benchmark high resolution survey was conducted having a 2D cross grid pattern with a 0.5m line spacing to ensure an overlap of soil volume being interrogated. The benchmark data set is then decimated (7 options) based upon orientation and line spacing options to simulate various surveying patterns. ANN models are developed using the various reduced datasets. The quantile method is used to generate a table to guide the choice of survey for a given ECa range. To validate the concept, an exercise is conducted starting with a reconnaissance survey consisting of a few lines based on surface features of soil pipes. Using the table as a guide, a survey plan is proposed and the ANN models are created using this data set. The measured and model generated data are used to create the 2D ECa map using kriging interpolation. This map is in good agreement with the benchmark ECa map, although the second map required 60% less data

Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes

Semantic technologies aim to represent information or models in formatsthat are not just machine-readable but also machine-understandable. To this effect, thispaper shows how the semantic concepts can be layered on top of the derived models toprovide a more contextual analysis of the models through the conceptualization method.Technically, the method involves augmentation of informative value of the resulting mod-els by semantically annotating the process elements with concepts that they represent inreal-time settings, and then linking them to an ontology in order to allow for a moreabstract analysis of the extracted logs or models. The work illustrates the method usingthe case study of a learning process domain. Consequently, the results show that a systemwhich is formally encoded with semantic labelling (annotation), semantic representation(ontology) and semantic reasoning (reasoner) has the capacity to lift the process miningand analysis from the syntactic to a more conceptual level

Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review

As the concept and implementation of cutting-edge technologies like artificial intelligence and machine learning has become relevant, academics, researchers and information professionals involve research in this area. The objective of this systematic literature review is to provide a synthesis of empirical studies exploring application of artificial intelligence and machine learning in libraries. To achieve the objectives of the study, a systematic literature review was conducted based on the original guidelines proposed by Kitchenham et al. (2009). Data was collected from Web of Science, Scopus, LISA and LISTA databases. Following the rigorous/ established selection process, a total of thirty-two articles were finally selected, reviewed and analyzed to summarize on the application of AI and ML domain and techniques which are most often used in libraries. Findings show that the current state of the AI and ML research that is relevant with the LIS domain mainly focuses on theoretical works. However, some researchers also emphasized on implementation projects or case studies. This study will provide a panoramic view of AI and ML in libraries for researchers, practitioners and educators for furthering the more technology-oriented approaches, and anticipating future innovation pathways

Quorum sensing in the cyanobacterium Gloeothece PCC 6909.

The thesis sought to study whether cyanobacteria utilise the process of quorum sensing during their growth, to identify any quorum sensing molecules produced by the cyanobacteria Gloeothece PCC 6909/1 and to study the effect of any such molecules in aexenic cultures of the organism. The study presents the first evidence of N-octanoyl homoserine lactone (C8-HSL) quorum sensing molecule from axenic cultures of the cyanobacterium PCC 6909 and its sheathless mutant PCC 6909/1 and that the production of this molecule followed a density dependent accumulation, a common feature of many quorum sensing systems. The response of the Gloeothece proteome to exogenous concentrations of C8-HSL was examined, indicating changes in 43 protein spots on a 2D-PAGE gel, thereby indicating a response through global changes in protein expression. Among the 15 proteins that showed more than 2 fold expression changes, RuBisCo, glutamate synthase, chorismate synthase, a LysR family of transcriptional regulator (all up regulated) enolase and aldolase (down regulated) could be identified. A number of phosphorylated proteins also showed increased accumulation suggesting changes in the phosphoproteome of Gloeothece. A response to C8-HSL was also detected in physiological changes of the organism through decreased accumulation of extracellular soluble carbohydrates and an increased acid phosphatase activity from cell extracts. In conclusion, this study presents evidence that the cyanobacterium Gloeothece employs a C8-HSL based quorum sensing system through the accumulation and response to a C8-HSL signal. These findings can help increase our understanding of how colonial cyanobacteria encounter stress at high cell densities

2-(4-Acetamido­benzene­sulfonamido)­benzoic acid

In the title compound, C15H14N2O5S, two similar mol­ecules comprise the asymmetric unit, which are linked by strong inter­molecular C—H⋯π inter­actions. Both mol­ecules are bent, with dihedral angles of 71.94 (16) and 74.62 (15)° between the benzene rings. An intra­molecular N—H⋯O hydrogen bond occurs in each mol­ecule. In the crystal, inter­molecular N—H⋯O and O—H⋯O hydrogen bonds link the mol­ecules into a three-dimensional network

IMPLEMENTING TOTAL QUALITY MANAGEMENT APPROACH IN GARMENTS INDUSTRY

Rapid developments in international competition have obliged textile enterprises to take new approaches in order to gain a competitive advantage. The limits of acceptable quality levels for the enterprises have fallen back down to critical points due to the effects of liberal policies in international markets. Total Quality Management (TQM) keeps vital role in improving productivity, product quality and reduces manufacturing cost by reducing rework and scrape. TQM method has a great applicability in RMG sector. As RMG sector is the largest industrial sector of Bangladesh, Product Quality improvement can play a vital role in opening the doors of great opportunities for the country. To perform this study we take help of the tools of TQM such as Flow chart, Check sheet, Histogram, Pareto Chart, Scatter Diagram, Control Chart, Cause and effect diagram from various garment industries of Bangladesh to analyse collected data which were collected through observation method and it is found that a significant amount of rework and scrape per style, per month has minimized by applying this method. Implementing Total quality control applications are gaining in importance because the textile & apparel sector is a sector in which consumer expectations and preferences are of primary importance

2-(4-Acetamido­benzene­sulfonamido)-3-methyl­butanoic acid

In the title compound, C13H18N2O5S, the benzene ring and the acetamide group are almost coplanar [dihedral angle = 5.6 (3)°], and the amine group projects almost vertically from this plane [C—C—S—N = −84.5 (7)°]. A short intra­molecular C—H⋯O contact occurs. In the crystal, O—H⋯O, N—H⋯O and N—H⋯(O,O) hydrogen bonds lead to a three-dimensional network. One of the methyl groups of the isopropyl residue is disordered over two orientations in a 0.747 (16):0.253 (16) ratio

In vitro control of plant pathogenic Xanthomonas spp. using Poncirus trifoliata Rafin

The secondary metabolites such as essential oil and pure compounds (limonin and imperatorin) from Poncirus trifoliata Rafin were tested for in vitro control of phytopathogenic bacteria of Xanthomonas spp. In vitro studies showed that the oil had inhibitory effect on Xanthomonas campestris pv. compestris KC94-17-XCC, Xanthomonas campestris pv. vesicatoria YK93-4-XCV, Xanthomonas oryzae pv. oryzae KX019-XCO and Xanthomonas sp. SK12 with their inhibition zones and minimum inhibitory concentration (MIC) values ranging from 13.1~22.1 mm and 62.5~125 μg/ml, respectively. Limonin and imperatorin also had in vitro antibacterial potential (MIC: 15.62~62.5 μg/ml) against all the tested Xanthomonas spp. Furthermore, the SEM studies demonstrated that limonin and imperatorin caused morphological changes of Xanthomonas sp. SK12 at the minimum inhibitory concentration (15.62 μg/ml). These results of this study support the possible use of essential oil and natural compounds from P. Trifoliata in agriculture and agro-industries to control plant pathogenic microorganisms

N-(4-Meth­oxy­phen­yl)-4-methyl­benzene­sulfonamide

In the title compound, C14H15NO3S, the dihedral angle between the aromatic rings is 59.39 (14)° and the C—S—N—C torsion angle is −71.4 (2)°. In the crystal, a supra­molecular chain running along the b axis with a C(4) graph set is formed via N—H⋯O hydrogen bonds