Results (66)
Search Parameters:
Keyword: ActivityTesting Web Service Compositions: Approaches, Methodology and Automation
Web services give a new view of the web as the biggest, widely accepted and the most straightforward distributed software platform. Their composition into applications and business processes is still a complex, non-trivial task, requiring highly rational efforts not only from the software developers, but from the quality assurance specialists. The provision if web service…
Read MoreThe Relationship of Coalition on Employee Spiritual Engagement: Interplay of Organisational Politics
The objective of the study was to establish the relationship between coalition and employee spiritual engagement. The research was quantitative, and data was administered and retrieved from employees at the selected private radio firms. Content validity was utilised to ascertain the validity of the instrument, and the reliability of the instrument was established using Cronbach’s…
Read MoreEstimating Academic results from Trainees’ Activities in Programming Exercises Using Four Types of Machine Learning
Predicting trainees’ final academic results in the early stage of programming class is a significant mission in the field of learning analytics. Performing exercises in programming class is hard and it takes a lot of time for trainees. For this reason, careful support with trainees are offered in many classes through classroom assistants (CAs). Even…
Read MoreConceptual Architecture for the Continuity if Workflow in Activities on Multi-Devices: Case Study Co-Kitchen
Nowadays, the realization and follow-up of a team activity takes place in different execution environments (e.g. mobile phone, PC) through the use of computer applications. This implies context changes that generate interruptions in the activity. To improve the continuity of an activity with the reduction of interruptions during the development of this activity, would help…
Read MoreComparison of Electrogastrograms in Seated and Supine Positions Using Wayland Algorithm
In previous study, it is difficult to estimate the biological states such as postural ones and aetas in accordance with the previous analysis of electrogastrograms (EGGs), basically the frequency resolution of healthy individuals. In addition, few studies have compared gastric myoelectrical activity in supine and sitting posture. The aim of this study is to evaluate…
Read MoreEffects of The Low-Resolution 3D Video Clip on Cerebrum Blood Flow Dynamics
We have already succeeded in findings that stereoscopic video clips enhance brain activity. We herein increase the knowledge about the influence of 3D and blurred images on the human body, especially on brain activity. From of old, it has been pointed out that the motion sickness is induced by the blurred images. In this study,…
Read MoreDeveloping Students’ Motivation for Learning through Practical Problems in School
This paper is an extension of work originally presented in the 19th International Conference on Computer Supported Education and Information Technology. This paper identifies motivational factors that ensure the initiation and effective implementation of mathematical activity. These factors are in subordination to each other, forming a hierarchical dependence. At the heart of this hierarchy is…
Read MoreEffects of Cinnamon on Diabetes
Diabetes is a condition of the body in which blood sugar level is higher than the normal average value. It is considered as a major cause of morbidity worldwide. According to the data reported in 2015,420 million people had diabetes worldwide, type 2 diabetes account for 85% of these cases. This shows 9.2% of the…
Read MoreThree-Dimensional EEG Signal Tracking for Reproducible Monitoring of Self-Contemplating Imagination
Electroencephalography (EEG) can globally monitor neural activity in millisecond scale, which is critical for identifying causality of human brain functions and mechanisms. However, to obtain accurate EEG stimulation-response relationship one usually needs to repeat multiple-ten times of stimulation-response recording to average out background signals of other irreverent brain activities, making real-time monitoring difficult to be…
Read MoreModeling and Control of Collaborative Robot System using Haptic Feedback
When two robot systems can share understanding using any agreed knowledge, within the constraints of the system’s communication protocol, the approach may lead to a common improvement. This has persuaded numerous new research inquiries in human-robot collaboration. We have built up a framework prepared to do independent following and performing table-best protest object manipulation with…
Read MoreEvaluating the Effect of Mozart Music and White Noise on Electroencephalography Pattern toward Visual Memory
Listening to auditory stimuli during study can give positive and negative influence on human cognitive processing. Thus, it has attracted researchers to conduct studies using various types of auditory stimuli. Some researchers believe that Mozart music and white noise are able to give positive influence on cognitive performance. However, most of the past studies gave…
Read MoreClassification of patient by analyzing EEG signal using DWT and least square support vector machine
Epilepsy is a neurological disorder which is most widespread in human beings after stroke. Approximately 70% of epilepsy cases can be cured if diagnosed and medicated properly. Electro-encephalogram (EEG) signals are recording of brain electrical activity that provides insight information and understanding of the mechanisms inside the brain. Since epileptic seizures occur erratically, it is…
Read MoreIndoor monitoring in Public Buildings: workplace wellbeing and energy consumptions. An example of IoT for smart cities application
In the recent years LepidaSpa created Sensornet platform for the control of the Emilia-Romagna territory managing heterogeneous environmental sensor networks distributed all over the region. LepidaSpa decided to integrate into Sensornet a brand-new family of sensors measuring indoor environmental parameters inside public buildings, in order to monitor energy consumption on one hand and workers’ wellbeing…
Read MoreA comparative between CRISP-DM and SEMMA through the construction of a MODIS repository for studies of land use and cover change
Among the most popular methodologies for development of data mining projects are CRISP-DM and SEMMA, This research paper explains the reason why it was decided to compare them from a specific case study. Therefore, this document describes in detail each phase, task and activity proposed by each methodology, applying it in the construction of a…
Read MoreValidity of Mind Monitoring System as a Mental Health Indicator using Voice
We have been developing a method of evaluating the mental health condition of a person based on the sound of their voice. Currently, we have applied this technology to create a smartphone application that shows the vitality and the mental activity as mental health condition indices. Using voice to measure one’s mental health condition is…
Read MoreA security approach based on honeypots: Protecting Online Social network from malicious profiles
In the recent years, the fast development and the exponential utilization of social networks have prompted an expansion of social Computing. In social networks users are interconnected by edges or links, where Facebook, twitter, LinkedIn are most popular social networks websites. Due to the growing popularity of these sites they serve as a target for…
Read More
