Hidden Personal Insights and Entangled in the Algorithmic Model: The Limits of the GDPR in the Personalisation Context

2021 ◽  
pp. 95-107
Author(s):  
Michèle Finck
Keyword(s):  
Algorithmic Model

A Structured Method for the Recognition of Complex Historical Tables

1997 ◽  
Vol 9 (1-3) ◽  
pp. 58-77
Author(s):  
Vitaly Kliatskine ◽  
Eugene Shchepin ◽  
Gunnar Thorvaldsen ◽  
Konstantin Zingerman ◽  
Valery Lazarev
Keyword(s):  
Nineteenth Century ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Complex Structure ◽  
Source Material ◽  
Historical Sources ◽  
Tax Assessment ◽  
Optical Character ◽  
Algorithmic Model ◽  
Machine Readable

In principle, printed source material should be made machine-readable with systems for Optical Character Recognition, rather than being typed once more. Offthe-shelf commercial OCR programs tend, however, to be inadequate for lists with a complex layout. The tax assessment lists that assess most nineteenth century farms in Norway, constitute one example among a series of valuable sources which can only be interpreted successfully with specially designed OCR software. This paper considers the problems involved in the recognition of material with a complex table structure, outlining a new algorithmic model based on ‘linked hierarchies’. Within the scope of this model, a variety of tables and layouts can be described and recognized. The ‘linked hierarchies’ model has been implemented in the ‘CRIPT’ OCR software system, which successfully reads tables with a complex structure from several different historical sources.

scholarly journals The Prediction of Internet Technology Utilization within Learning Environments

2020 ◽  
pp. 216-222
Author(s):  
Khakata Esther Nyokabi ◽  
Msanjila Simon Samuel ◽  
Omwenga Vincent Oteke
Keyword(s):  
Learning Environments ◽  
Learning Process ◽  
Higher Learning ◽  
Internet Technology ◽  
The Internet ◽  
Technology Utilization ◽  
Ongoing Research ◽  
Institutions Of Higher Learning ◽  
Algorithmic Model ◽  
Institution Of Higher Learning

Internet technology has been revolutionary over the years especially in the educational sector. However, the utility of internet technology in the learning process of a student in a higher learning institution has not been determined over the years. This has been due to the evolution that has taken place in education. This paper aims at helping in the development of an algorithmic model that will be used for the prediction of internet technology utilization in learning. Specifically, the research will focus on modelling the Cobb- Douglas production theorem to predict the learning output of a given student considering the utility of the internet technology, the infrastructural investment made by the institution of higher learning and the effort of the student. The results of this ongoing research will eventually be of great importance in helping institutions of higher learning determine their returns after investing in internet technology. The students will also be informed on how to use the internet technology in a better way in order to get the best out of the resource.

scholarly journals Simulation of the impact of economic development on social development of the country

2020 ◽  
Vol 18 (3) ◽  
pp. 37-54
Author(s):  
Olena Rayevnyeva ◽  
Iryna Aksonova ◽  
Olha Brovko ◽  
Stanislav Filip
Keyword(s):  
Economic Development ◽  
Social Development ◽  
Economic Condition ◽  
Statistical Research ◽  
The Social ◽  
Main Components ◽  
Algorithmic Model ◽  
The Impact ◽  
The Relationship ◽  
Significant Factors

In the current conditions of development of the international and national economy, an important task of statistical research is to conduct an objective and timely assessment and modeling of the relationship between indicators of economic and social development. Based on the results of these studies, reasonable management influences of the state on the adjustment and regulation of the country’s development are accepted. The article is devoted to the study of the relationship between the main components of economic and social development of the country and the construction of a set of models for forecasting the prospects of the country. The object of the study is the socio-economic condition of the country. The article proposes an algorithmic model for assessing the impact of economic development on society, which allows to identify key economic indicators that influence and shape the social development of the country. The practical value of the algorithmic model is to develop a system of evaluation and selection as a result of modeling the most significant factors that shape the social development of the country. The study confirmed the hypothesis of the dominant impact of economic development on society and determined that the main economic factors are the level of competencies that satisfy the modern labour market, technical development of businesses and their competitiveness in markets.

Algorithmic Model of Temperature Compensation for Infrared Methane Sensors

2016 ◽  
Vol 53 (10) ◽  
pp. 102602
Author(s):  
杨震 Yang Zhen ◽  
梁永直 Liang Yongzhi
Keyword(s):  
Temperature Compensation ◽  
Algorithmic Model

scholarly journals SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 432 ◽  
Author(s):  
Chuan-Yu Chang ◽  
Kathiravan Srinivasan ◽  
Mao-Cheng Chen ◽  
Shao-Jer Chen
Keyword(s):  
Ultrasound Image ◽  
Cost Effective ◽  
The Body ◽  
Body Parts ◽  
Breast Cyst ◽  
Sensing Systems ◽  
Efficient Detection ◽  
Algorithmic Model ◽  
Ultrasound Sensing

In recent years, there are several cost-effective intelligent sensing systems such as ultrasound imaging systems for visualizing the internal body structures of the body. Further, such intelligent sensing systems such as ultrasound systems have been deployed by medical doctors around the globe for efficient detection of several diseases and disorders in the human body. Even though the ultrasound sensing system is a useful tool for obtaining the imagery of various body parts, there is always a possibility of inconsistencies in these images due to the variation in the settings of the system parameters. Therefore, in order to overcome such issues, this research devises an SVM-enabled intelligent genetic algorithmic model for choosing the universal features with four distinct settings of the parameters. Subsequently, the distinguishing characteristics of these features are assessed utilizing the Sorensen-Dice coefficient, t-test, and Pearson’s R measure. It is apparent from the results of the SVM-enabled intelligent genetic algorithmic model that this approach aids in the effectual selection of universal features for the breast cyst images. In addition, this approach also accomplishes superior accuracy in the classification of the ultrasound image for four distinct settings of the parameters.

scholarly journals Classification of robotic battery service systems for unmanned aerial vehicles

2018 ◽  
Vol 161 ◽  
pp. 03023
Author(s):  
Tien Ngo ◽  
Mehmet Guzey ◽  
Vladimir Dashevsky
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Power Supply ◽  
Landing Site ◽  
Operating Conditions ◽  
Joint Work ◽  
Operator Experience ◽  
Aerial Vehicles ◽  
Robotic Platforms ◽  
Algorithmic Model

Existing examples of prototypes of ground-based robotic platforms used as a landing site for unmanned aerial vehicles are considered. In some cases, they are equipped with a maintenance mechanism for the power supply module. The main requirements for robotic multi-copter battery maintenance systems depending on operating conditions, required processing speed, operator experience and other parameters are analyzed. The key issues remain questions of the autonomous landing of the unmanned aerial vehicles on the platform and approach to servicing battery. The existing prototypes of service robotic platforms are differed in the complexity of internal mechanisms, speed of service, algorithms of joint work of the platform and unmanned aerial vehicles during the landing and maintenance of the battery. The classification of robotic systems for servicing the power supply of multi-copter batteries criteria is presented using the following: the type of basing, the method of navigation during landing, the shape of the landing pad, the method of restoring the power supply module. The proposed algorithmic model of the operation of battery power maintenance system of the multi-copter on ground-based robotic platform during solving the target agrarian problem is described. Wireless methods of battery recovery are most promising, so further development and prototyping of a wireless charging station for multi-copter batteries will be developed.

Sign in / Sign up

Export Citation Format

Share Document