Priority-Based Classification of Available Information — An Important Aspect of Future User Interfaces —

1989 ◽  
pp. 327-332
Author(s):  
Peter Zoller
Keyword(s):  
User Interfaces ◽  
Available Information

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

ARESIBO HORIZON 2020 EUROPEAN RESEARCH PROJECT – ENRICHED SITUATION AWARENESS FOR BORDER SURVEILLANCE

2021 ◽  
Vol 17 (1) ◽  
pp. 247-255
Author(s):  
Konstantinos CHARISI ◽  
Andreas TSIGOPOULOS ◽  
Spyridon KINTZIOS ◽  
Vassilis PAPATAXIARHIS
Keyword(s):  
Augmented Reality ◽  
Situation Awareness ◽  
User Interfaces ◽  
Border Security ◽  
Multiple Sources ◽  
Horizon 2020 ◽  
Research And Innovation ◽  
Current State ◽  
Available Information ◽  
User Friendly

Abstract. The paper aims to introduce the ARESIBO project to a greater but targeted audience and outline its main scope and achievements. ARESIBO stands for “Augmented Reality Enriched Situation awareness for Border security”. In the recent years, border security has become one of the highest political priorities in EU and needs the support of every Member State. ARESIBO project is developed under HORIZON 2020 EC Research and Innovation program and it is the joint effort of 20 participant entities from 11 countries. Scientific excellence and technological innovation are top priorities as ARESIBO enhances the current state-of-the-art through technological breakthroughs in Mobile Augmented Reality and Wearables, Robust and Secure Telecommunications, Robots swarming technique and Planning of Context-Aware Autonomous Missions, and Artificial Intelligence (AI), in order to implement user-friendly tools for border and coast guards. The system aims to improve the cognitive capabilities and the perception of border guards through intuitive user interfaces that will help them acquire an improved situation awareness by filtering the huge amount of available information from multiple sources. Ultimately, it will help them respond faster and more effectively when a critical situation occurs.

Lungsounds@UA Interface and Multimedia Database

2014 ◽  
Vol 5 (1) ◽  
pp. 81-95 ◽  
Author(s):  
Cátia Pinho ◽  
Ana Oliveira ◽  
Daniela Oliveira ◽  
João Dinis ◽  
Alda Marques
Keyword(s):  
Pilot Study ◽  
User Interfaces ◽  
Graphical User Interfaces ◽  
Respiratory Sounds ◽  
Multimedia Database ◽  
Clinical Settings ◽  
Related Data ◽  
Future Developments ◽  
Healthcare Technologies ◽  
Available Information

The development of graphical user interfaces (GUIs) has been an emergent demand in the area of healthcare technologies. Specifically for respiratory healthcare there is a lack of tools to produce a complete multimedia database, where respiratory sounds and other clinical data are available in a single repository. This is essential for a complete patients' assessment and management in research/clinical settings. Therefore, this study aimed to develop a usable interface to collect and organise respiratory-related data in a single multimedia database. A GUI, named LungSounds@UA, composed by a multilayer of windows, was developed. The usability of the user-centred interface was assessed in a pilot study and in an evaluation session. The users testified the utility of the application and its great potential for research/clinical settings. However, some drawbacks were identified, such as a certain difficulty to intuitively navigate in the great amount of the available information, which will inform future developments.

scholarly journals Categorizing threatened species: an analysis of the Red List of the flora of Brazil

Oryx ◽  
2014 ◽  
Vol 48 (2) ◽  
pp. 258-265 ◽  
Author(s):  
M. A. Moraes ◽  
R.A.X. Borges ◽  
E. M. Martins ◽  
R. A. Fernandes ◽  
T. Messina ◽  
...  
Keyword(s):  
Plant Species ◽  
Extinction Risk ◽  
Conservation Status ◽  
National Level ◽  
Individual Species ◽  
Species List ◽  
Regulatory Processes ◽  
Threatened Plant Species ◽  
Available Information

AbstractIn Brazil most of the effort for the conservation of plant species has comprised evaluation of taxa for the Lista Oficial das Espécies Ameaçadas de Extinção da Flora Brasileira (Official Threatened Flora Species List), and little has been done to conserve individual species. This is a result of the listing process being interpreted as the final goal rather than as a means to achieve conservation effectiveness. In addition, a variety of systems for the classification of extinction risk have been applied, resulting in an inaccurate view of the conservation status of the flora of the country. Here we review the national listing process to highlight the strengths and weaknesses of the Official Threatened Flora Species List. We used all available information to compile a list of taxa officially recorded as threatened in Brazil. The list was revised using the Flora do Brasil database. The resulting list has 4,967 taxa in 1,235 genera and 232 families. Despite controversies about advances in the Red Listing process, several improvements have been made at the institutional level, such as: (1) improving conservation databases, (2) developing information systems, and (3) increasing the number of taxonomists working in conservation biology. However, there is still no classification system for extinction risk that facilitates standardization of the listing process at the national level. In addition, regulatory processes related to the conservation of threatened plant species are not up-to-date with the conceptual and methodological advances made by the scientific community. We conclude that adjustments are needed to ensure the effectiveness of the conservation of plant species in Brazil.

Classification of Drainage Basins Based on Readily Available Information

2016 ◽  
Vol 30 (15) ◽  
pp. 5559-5574 ◽  
Author(s):  
Ino Papageorgaki ◽  
Ioannis Nalbantis
Keyword(s):  
Drainage Basins ◽  
Available Information

scholarly journals RESERVES ESTIMATION OF A MARBLE QUARRY USING QUALITY INDICATORS

2017 ◽  
Vol 50 (4) ◽  
pp. 1849
Author(s):  
I. Kapageridis ◽  
C. Albanopoulos
Keyword(s):  
Quality Indicator ◽  
Mine Planning ◽  
Three Dimensions ◽  
Estimation Methods ◽  
Indicator Values ◽  
Available Information ◽  
Quality Categories ◽  
Experienced Personnel

The use of standard estimation and modelling software tools in estimating marble quarry reserves poses a number of challenges. Marble quarry reserves are based on marble quality categories, almost unique for each quarry/deposit considered. These categories represent visual and physical aspects of marble such as colour, texture and fractures. Classification of marble to one of the categories is performed by experienced personnel and is based on samples much smaller in area than the blocks of marble which are potentially exploited. The available information is, also, mostly qualitative leading to further complications in the application of geomathematical estimation methods. The estimation of marble reserves described in this paper is based on interpolating quality indicator values from drillhole and quarry face samples to blocks in three dimensions. The procedure is applied in all working quarries of Iktinos Hellas SA and is based on Maptek Vulcan Quarry Modeller, a mine planning package adapted for quarrying. Its application and results is demonstrated using a case study from one of the quarries in NE Greece.

scholarly journals Prediction of Blood Donors Population Using Data Mining Classification Technique

2021 ◽  
pp. 25-27
Author(s):  
Aman Paul ◽  
Daljeet Singh
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Association Rules ◽  
User Interfaces ◽  
Relational Data ◽  
Easy Access ◽  
Data Mining Technique ◽  
Open Source Data ◽  
Using Data

Data mining is a technique that finds relationships and trends in large datasets to promote decision support. Classification is a data mining technique that maps data into predefined classes often referred as supervised learning because classes are determined before examining data. Different classification algorithms have been proposed for the effective classification of data. Among others, Weka is an open-source data mining software with which classification can be achieved. It is also well suited for developing new machine learning schemes. It allows users to quickly compare different machine learning methods on new datasets. It has several graphical user interfaces that enable easy access to the underlying functionality. CBA is a data mining tool which not only produces an accurate classifier for prediction, but it is also able to mine various forms of association rules. It has better classification accuracy and faster mining speed. It can build accurate classifiers from relational data and mine association rules from relational data and transactional data. CBA also has many other features like cross validation for evaluating classifiers and allows the user to view and to query the discovered rules.

scholarly journals Can Computers Create Humor?

AI Magazine ◽  
2009 ◽  
Vol 30 (3) ◽  
pp. 71 ◽  
Author(s):  
Graeme Ritchie
Keyword(s):  
User Interfaces ◽  
Computational Modelling ◽  
Automatic Classification ◽  
Human Behaviour ◽  
Hard Problems ◽  
Computational Humor

Despite the fact that AI has always been adventurous in trying to elucidate complex aspects of human behaviour, only recently has there been research into computational modelling of humor. One obstacle to progress is the lack of a precise and detailed theory of how humor operates. Nevertheless, since the early 1990s, there have been a number of small programs that create simple verbal humor, and more recently there have been studies of the automatic classification of the humorous status of texts. In addition, there are a number of advocates of the practical uses of computational humor: in user-interfaces, in education, and in advertising. Computer-generated humor is still quite basic, but it could be viewed as a form of exploratory creativity. For computational humor to improve, some hard problems in AI will have to be addressed.

Bone ice skates in the medieval Novgorod (based on archaeological research of the Institute of Archaeology RAS in 2018–2019)

2021 ◽  
pp. 102-118
Author(s):  
Oleg Oleynikov ◽  
Keyword(s):  
Domestic Animals ◽  
Archaeological Research ◽  
Archaeological Material ◽  
Instrumental Study ◽  
Working Surface ◽  
12Th Century ◽  
Available Information ◽  
Small Bone ◽  
Tubular Bones

The article summarizes available information on bone ice skates and presents the results of research and classification of the collection of skates of the 11th–15th centuries found by the Novgorod Expedition of the Institute of Archaeology RAS. Medieval ice skates are small bone runners made from the tubular bones of large domestic animals. All objects show traces of the specific processing of original bones: cut off epiphyses and a flattened plantar side (sliding surface). The amount of accumulated archaeological material, instrumental study of wear pattern on the working surface, experiments in the use and manufacture of skates, numerous ethnographic parallels in the use of bone skates in a number of countries almost up to the present day, as well as the fact of skating on bone shoes recorded in a 12th century source, make it safe to say that, in functional terms, ice skating was one of the forms of winter pastime and was a part of the Novgorod dwellers’ everyday life.

The paper describes methods of studying the texture properties of rocks from photographs of a whole core using variograms and matrices of co-occurrence. The practical goal of our research is to obtain curves based on images of rocks; for example, core photographs, microresistivity formation images (FMI), and X-ray computerized tomography (CT), which make it possible to segment images depending on the difference of textural characteristics of different areas of the image. Such texture attributes—separately or along with color information—can be used in the tasks of automatic lithotyping, as well as in modeling the petrophysical properties of rocks. Our practical experience in building predictive models from core photographs has shown that the use of versatile information improves the quality of modeling. In some cases, the classification of lithotypes and the prediction of reservoir properties is difficult and leads to erroneous results if we do not use all the available information. In practice, UV images of the core are not always available. There are also daylight core photos, when the color characteristics are not very informative. In such cases, including imaging types such as X-ray CT, texture attributes can be of great help in predictive model building

2021 ◽  
Author(s):  
I.A. Seleznev ◽  
D.O. Makienko ◽  
V.V. Abashkin ◽  
A.A. Chertova ◽  
A.F. Samokhvalov
Keyword(s):  
Model Building ◽  
Practical Experience ◽  
Color Information ◽  
Reservoir Properties ◽  
X Ray ◽  
The Difference ◽  
Available Information ◽  
Texture Attributes
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