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Discovering and optimising processes from event logs of document management systems

Mędrek M., Wiechetek Ł.

Organizacja i Zarządzanie : kwartalnik naukowy

2017

nr 3

69--82

Modern information management systems are often driven by workflow engines, which require an accurate, detailed, and structured process description. Instead of theoretical modelling of such processes we propose a technique which can be a connection between traditional management (organisational structure) and business process management approach. In our work we present a case study where the automatic process mining techniques are applied to administrative processes in an environment of event logs recorded by DMS. We use event log data to discover and describe the process map of the organisation and to model structured process descriptions. Our approach allows for the extraction of models based on facts and it is a direct connection between the process model and raw data generated by the organisation. Such scenario increases consistency between the mapped model and the reality of the organisation.

An experimental study to evaluate musculoskeletal disorders and postural stress of female craftworkers adopting different sitting postures

Maity P., De S., Pal A., Dhara P. C.

International Journal of Occupational Safety and Ergonomics

2016

Vol. 22, No. 2

257--266

This study aimed to evaluate musculoskeletal disorders (MSDs) and postural stress among female craftworkers. The study was carried out on 75 adult female craftworkers in different districts of West Bengal. The prevalence of MSDs, body part discomfort (BPD) rating and body joint angles of the workers were evaluated with standard methods. Electromyography (EMG) of the shoulder and back muscles was recorded with the BIOPAC system. The prevalence of MSDs, BPD rating and deviation of joint angle were comparatively lower in the case of sitting on the floor with folded legs than squatting and sitting on the floor with stretched legs postures. The EMG and rms values of the shoulder and back muscles were comparatively lower in this posture. Therefore, it was concluded that sitting on the floor with folded legs was less hazardous and it imposed less postural stress in comparison to other sitting postures.

Neural network and artificial immune algorithms for the classification of medical data series

Wajs W.

Automatyka / Automatics

2012

Vol. 16, no. 1

89-96

This paper describes the applicability of artificial immune algorithms. Medical data series classification technique by Artificial Immune Algorithm is used for Neural Network Algorithm input data definitions. Artificial Immune Algorithms is created and trained for the purpose of Arterial Blood Gas parameters classification: pH, PaCO2, PaO2, HCO3. The main goal of this paper is to develop a artificial neural network technique for Arterial Blood Gases short-term prediction. The main question that is considered is how to predict some dynamic parameters that describe blood gases nature. A model of a physical system has an error associated with its predictions due to the dependences of the physical system's output on uncontrollable and unobservable quantities. The use of artificial methods creates the possibilities of obtaining some parameter values on the proper level of probability. This would provide a direct feedback to the clinical staff about the progress of a patient, the success of individual treatments, and quality of care as well as predicting blood gas value.

Dla rozpoznawania przypadków chorobowych, które są opisane numerycznymi danymi wykorzystano metody sztucznej inteligencji. W pracy wykorzystano dwie metody: metodę sztucznych sieci neuronowych oraz metodę sztucznych sieci immunologicznych. Przedstawiono wyniki uzyskane tymi metodami w odniesieniu do przypadków dysplazji oskrzelowo płucnej dla dzieci, których waga była poniżej 1500 g.