Computer Application in Geology

The purpose of this research is the analysis using meta-analysis of studies in the field of Educational Technology in Turkey and in the field is to demonstrate how to get to that trend. For this purpose, a total of 263 studies were analyzed including 98 theses and 165 articles published between 2010-2018. Purpose sampling method was used when selecting publications. In the research, while selecting articles and Technology used in journals. Publications have been reviewed under 11 criteria. Index, year of publication, research scope, method, education level, sample, number of samples, data collection methods, analysis techniques, and research tendency, research topics in Educational Technology Research in Turkey has revealed. The data is interpreted based on percentage and frequency and the results are shown using the table.

Computer-aided technologies (CAx) mean the use of computer technology to aid in the design, analysis and manufacture various products. International Journal of Computer-Aided technologies (IJCAx)  is an open access, peer-reviewed journal that publishes articles which contribute new results in all areas of Computer Aided technologies such as CAD, CAM, CAIM,CAR, CARD, CASE etc. The journal focuses on all technical and practical aspects of Computer Aided technologies. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced CAx tools and establishing new collaborations in these areas. Authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in all Computer Aided technologies

Order placingis a crucial phase of lifecycle of a Mass-customizable product and seeks improvement in Mechanical industry. 'Product Configurator' is a good solution to bring in data transparency and speed up the process. Configuration tools arebeing used on a very small scale,reasons being lack of awareness and dearer costs of existing tools. In this research work a product configurator is developedfor Hydraulic Actuator (HA).This method uses Applicable Programing Interface (API) of a CAD tool coupled with Visual Basics (VB) and MS Excel.Itis a standaloneapplication of VB and its integration into web portal can be the future scope. The final aim was to reduce time delay at CRM phase,bring more transparency in the ordering system and to establish a method which, small and medium scale enterprises canafford. Trails on the tool developed generated Part-Assembly drawings, BOM and JT files in moments.

Big data and machine learning are IT methodologies that are bringing substantial changes in the analysis and interpretation of scientific data. By adding GPU processing resources to the typical equipment of a server host, it is possible to speed up queries performed on large databases and reduce training time for deep learning architectures.
A recent pairing of the big data technologies, applied to old and new data, and artificial intelligence techniques has enabled a team of scientists to create an interactive virtual globe that shows a color mosaic of the seabed geology. This interactive model allows us to obtain robust reconstructions and predictions of climate changes and their impacts on the ocean environment. We suggest a possible evolution of such a model by means of the expansion of functionalities and performance improvements. We refer respectively to the implementation of isochronic layers of seabed lithologies and the addition of GPU resources to speed up the learning phase of the support vector machine (SVM) model. These additional features would allow us to establish broader correlations and extract additional information on large-scale geological phenomena.
Open access article: https://www.geosociety.org/gsatoday/groundwork/G372GW/GSATG372GW.pdf

Order placingis a crucial phase of lifecycle of a Mass-customizable product and seeks improvement in Mechanical industry. 'Product Configurator' is a good solution to bring in data transparency and speed up the process. Configuration tools arebeing used on a very small scale,reasons being lack of awareness and dearer costs of existing tools. In this research work a product configurator is developedfor Hydraulic Actuator (HA).This method uses Applicable Programing Interface (API) of a CAD tool coupled with Visual Basics (VB) and MS Excel.Itis a standaloneapplication of VB and its integration into web portal can be the future scope. The final aim was to reduce time delay at CRM phase,bring more transparency in the ordering system and to establish a method which, small and medium scale enterprises canafford. Trails on the tool developed generated Part-Assembly drawings, BOM and JT files in moments.

Geological map units commonly have labels and legends that are incompatible between neighbouring maps. GeoLegend is a relational database structure for use with Geographic Information Systems (GIS) that allows map units to be reclassified consistently from map to map and automatically compiles unit labels and legends. It is presently being used to generate customised geological maps within a 33 000 km2 area of Newfoundland, Canada.
  The system uses a single set of linework, digitized from bedrock geology maps at the most detailed scales available. For each area, the most reliable map is chosen, and the digitized maps are then joined together to form a continuous mosaic of regional extent. No changes are made to the linework as originally published, so some mismatches remain at map boundaries, but the most serious inconsistencies are eliminated by rationalising the classification of units. A map can be generated for any part of the continuous coverage, irrespective of original geological or topographic map boundaries.
  Each polygon within the map mosaic has a unique identifier which links it to GeoLegend and allows the retrieval of geological data pertaining to that polygon. GeoLegend organizes these data so that they can be used to control the level of detail shown on a map. Detail can be changed both between and within maps to suit a variety of scales and uses. GeoLegend produces a consistent set of unit labels, a legend and a list of references to source maps and legend descriptions; all of these are specific to whatever part of the map mosaic is selected and reflect the levels of detail chosen for the map. Data files can be produced for use with GIS viewing software, allowing the creation of maps that can be searched interactively by unit, age, rock type and other geological criteria.

A large no. of automobile companies finding a convinient way to manage design changes with the use of various PLM techniques. Change in any product is something that should occur on timely basis to match up with customer requirement and cost reduction. The change made in the vehicle designs directly affects various concerned agencies. Automobile Vehicle structures contains thousands of parts and if there is any change is occurring in child parts then it becomes important to track that impacted part, propose a solution on that part and release a new assembly structure with feasible changes such that all efforts need to be done for cost reduction.

Big data and machine learning are IT methodologies that are bringing substantial changes in the analysis and interpretation of scientific data. By adding GPU processing resources to the typical equipment of a server host, it is possible to speed up queries performed on large databases and reduce training time for deep learning architectures. A recent pairing of the big data technologies, applied to old and new data, and artificial intelligence techniques has enabled a team of scientists to create an interactive virtual globe that shows a color mosaic of the seabed geology. This interactive model allows us to obtain robust reconstructions and predictions of climate changes and their impacts on the ocean environment. We suggest a possible evolution of such a model by means of the expansion of functionalities and performance improvements. We refer respectively to the implementation of isochronic layers of seabed lithologies and the addition of GPU resources to speed up the learning phase of the support vector machine (SVM) model. These additional features would allow us to establish broader correlations and extract additional information on large-scale geological phenomena.

The Pattern classification system classifies the pattern into feature space within a boundary. In case adversarial applications use, for example Spam Filtering, the Network Intrusion Detection System (NIDS), Biometric Authentication, the pattern classification systems are used. Spam filtering is an adversary application in which data can be employed by humans to attenuate perspective operations. To appraise the security issue related Spam Filtering voluminous machine learning systems. We presented a framework for the experimental evaluation of the classifier security in an adversarial environments, that combines and constructs on the arms race and security by design, Adversary modelling and Data distribution under attack. Furthermore, we presented a SVM, LR and MILR classifier for classification to categorize email as legitimate (ham) or spam emails on the basis of thee text samples.