Search results for "oppiminen"
showing 10 items of 2266 documents
Instructions for External Focus of Attention Improved Taekwondo Kicking Performance Only Among Less Skilled Youth
2022
External focus of attention (EFA) studies among children have yielded more equivocal results than have those among adults. Some investigators have found an internal focus of attention (IFA) advantage in children and have explained their results by children’s generally lower skill levels, compared to adults. According to the constrained action hypothesis, children’s lower skill levels are not yet associated with over-learned automatic movement patterns, so their motor performance is not disrupted by IFA instructions. In this study, our objective was to examine a possible interaction effect between children’s skill levels and their exposure to either IFA or EFA instructions on motor performa…
A Novel Deep Learning Stack for APT Detection
2019
We present a novel Deep Learning (DL) stack for detecting Advanced Persistent threat (APT) attacks. This model is based on a theoretical approach where an APT is observed as a multi-vector multi-stage attack with a continuous strategic campaign. To capture these attacks, the entire network flow and particularly raw data must be used as an input for the detection process. By combining different types of tailored DL-methods, it is possible to capture certain types of anomalies and behaviour. Our method essentially breaks down a bigger problem into smaller tasks, tries to solve these sequentially and finally returns a conclusive result. This concept paper outlines, for example, the problems an…
State of the Art Literature Review on Network Anomaly Detection with Deep Learning
2018
As network attacks are evolving along with extreme growth in the amount of data that is present in networks, there is a significant need for faster and more effective anomaly detection methods. Even though current systems perform well when identifying known attacks, previously unknown attacks are still difficult to identify under occurrence. To emphasize, attacks that might have more than one ongoing attack vectors in one network at the same time, or also known as APT (Advanced Persistent Threat) attack, may be hardly notable since it masquerades itself as legitimate traffic. Furthermore, with the help of hiding functionality, this type of attack can even hide in a network for years. Additi…
Koulutusvienti – todellinen aarre : Agenda 2030 haasteet ratkaistavissa globaalisti : ”Ei meillä oppilaitostasolla ole hajuakaan siitä mitä koulutusv…
2021
Pro gradu -tutkielmassa tarkoituksena oli selvittää suomalaisen koulutusviennin tekijöitä Varalan Urheiluopiston koulutustoiminnan kansainvälisen suunnittelun tarpeisiin. Tutkimuksen tavoitteena on asiantuntijoiden näkemysten avulla tukea päätavoitetta. Tämän tutkimuksen erityisenä käytännön tavoitteena oli tuottaa Varalalle askelmerkkejä kansainvälisen toiminnan suunnitteluun kehittämismenetelmän keinoin. Tutkimus on laadullinen tutkimus ja aineistonkeruumenetelmänä tutkimuksessa käytettiin puolistrukturoitua kyselylomaketta (N=8) sekä puolistrukturoitua yksilöhaastattelua (N=6). Kyselyyn vastanneet sekä haastateltavat valikoituivat instituutionaalisen asemansa perusteella. Laadullisen ain…
Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences
2022
With more than 50 years of literature, fuzzy logic has gradually progressed from an emerging field to a developed research domain, incorporating the sub-domain of mathematical fuzzy logic (MFL) [...]
AlphaGo ja Monte Carlo -puuhaku
2017
Tässä tutkielmassa käsittelen Monte Carlo -puuhakualgoritmia sekä sen roolia hyvin menestyneessä AlphaGo-tekoälyssä. Tavoitteena oli muodostaa kokonaiskuva AlphaGo:n toiminnasta, painottuen etenkin Monte Carlo -puuhaun näkökulmaan. Tutkimuksen perusteella selvisi miten ohjelma hyödyntää omassa hakualgoritmissään kyseistä puuhakua, jota se parantaa hyödyntäen koneoppimista ja useita eri tarkoituksiin opetettuja neuroverkkoja. AlphaGo saavutti näin tehokkuuden, johon muut go-ohjelmat eivät vielä ole kyenneet. In this thesis I study the Monte Carlo tree search algorithm, and it’s role in successful go-program, AlphaGo. The goal was to form a general view of AlphaGo’s inner workings, especially…
Collecting and Using Students’ Digital Well-Being Data in Multidisciplinary Teaching
2018
This article examines how students (N=198; aged 13 to 17) experienced the new methods for sensor-based learning in multidisciplinary teaching in lower and upper secondary education that combine the use of new sensor technology and learning from self-produced well-being data. The aim was to explore how students perceived new methods from the point of view of their learning and did the teaching methods provide new information that could promote their own well-being. We also aimed to find out how to collect digital well-being data from a large number of students and how the collected big data set can be utilized to predict school success from the students’ well-being data by using machine lear…
Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature
2020
Due to the ever-increasing complexities in cybercrimes, there is the need for cybersecurity methods to be more robust and intelligent. This will make defense mechanisms to be capable of making real-time decisions that can effectively respond to sophisticated attacks. To support this, both researchers and practitioners need to be familiar with current methods of ensuring cybersecurity (CyberSec). In particular, the use of artificial intelligence for combating cybercrimes. However, there is lack of summaries on artificial intelligent methods for combating cybercrimes. To address this knowledge gap, this study sampled 131 articles from two main scholarly databases (ACM digital library and IEEE…
Recent advances in machine learning for maximal oxygen uptake (VO2 max) prediction : A review
2022
Maximal oxygen uptake (VO2 max) is the maximum amount of oxygen attainable by a person during exercise. VO2 max is used in different domains including sports and medical sciences and is usually measured during an incremental treadmill or cycle ergometer test. The drawback of directly measuring VO2 max using the maximal test is that it is expensive and requires a fixed and controlled protocol. During the last decade, various machine learning models have been developed for VO2 max prediction and numerous studies have attempted to predict VO2 max using data from submaximal and non-exercise tests. This article gives an overview of the machine learning models developed over the past five years (…
Predicting hospital associated disability from imbalanced data using supervised learning.
2019
Hospitalization of elderly patients can lead to serious adverse effects on their functional capability. Identifying the underlying factors leading to such adverse effects is an active area of medical research. The purpose of the current paper is to show the potential of artificial intelligence in the form of machine learning to complement the existing medical research. This is accomplished by studying the outcome of hospitalization of elderly patients as a supervised learning task. A rich set of features characterizing the medical and social situation of elderly patients is leveraged and using confusion matrices, association rule mining, and two different classes of supervised learning algo…