Kalle Saastamoinen

Kalle Saastamoinen
National Defence University · Department of Military Technology

About

41
Publications
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168
Citations

Publications

Publications (41)
Conference Paper
The National Defense University (NDU) trains officers to develop their academic and professional skills. To accomplish this, the university offers two mandatory courses on methodological training for military technology students for master level education. The first course was theoretically oriented, and the second course was practically oriented....
Article
In this article, we discuss visual classification using unsupervised learning combined with methods that originate from human vision to divide the Baltic seabed to the soft and hard areas. Seabed classification plays an important role in an understanding the undersea environment. Seabed can be characterized to be as muddy, rocky or sandy. Mine coun...
Article
This article examines the use of the Grob G 115E simulator (GO simulator) in Air Force elementary flight training, its technical features, and their impact on various areas of training. Questions about the use of the GO simulator will be answered through expert interviews and a user experience survey for flight instructors. In this way, the usefuln...
Article
Full-text available
In this article, we study new trend of how cargo air vehicles (CAV) are becoming general usage in military to carry different materials. They have some benefits when compared against traditional helicopters and airplanes as example they are cheap and versatile. They can be used to transport medical, food and ammunition supplies to military personne...
Chapter
Time is an essential part when traveling since it is a very time-critical process. One main issue when going abroad is a border crossing. Helsinki–Vantaa Airport (HEL) has extensive flight connections and the shortest routes between Europe and Asia, making it a major hub for Northern Europe. The number of external border traffic at Helsinki–Vantaa...
Article
Full-text available
Traditional lectures and exercises are good for gaining basic knowledge in STEM (Science, Technology, Engineering and Mathematics). If feasible, motivational and deeper learning experiences like laboratory - or work life-related field experimentation are included in studying levels, more concrete learning experiences can be reached. At the National...
Conference Paper
In many technology related courses in addition to the new content, previously learned knowledge about science and science related supportive tools are simultaneously studied. In the field of applied sciences, the aim is to apply technology applications derived from these scientific methods and models to the operating environment. From the point of...
Conference Paper
Conventional learning guidance systems are typically automated machines for creating teaching materials: quizzes, exercises, examinations etc. In the future, systems will also offer ease of use, attention to sociality, ability to adapt to the pupil's needs and skill levels, and time savings. Ease-of-use and adaptation can be sought using systems ba...
Article
Full-text available
This article discusses the use of simulators in naval ship management training. Simulators make it possible to achieve required information and skill level faster than traditional classroom teaching methods. The benefits of simulators are cost-effectiveness, repeatability and security. The most advanced ship simulators enable both navigation and ta...
Article
Full-text available
In this article we will review theory of comparison which is a very crucial when decisions have to be done. We will present Minkowski distance-based operator, non-metric-based pseudo similarity based operator and combined t-norm and t-conorm operators. We will study these measures for comparison vs. to the measures that are used generally for compa...
Article
Full-text available
Simulation and modelling course at the National Defence University (NDU) is aimed at learning how real-world models work, how to acquire data, how to visualize the acquired data, and to develop one’s understanding through simulations. The course ends with a group work, where participating students are asked to produce a working simulation model eit...
Article
Full-text available
Exercises are an essential part of learning university-level mathematics. Automated assessments provide an easy and flexible way to create new exercises for students. Moreover, students’ performances may be monitored in real time. In 2012, we started to test a mathematical exercise creation system originally created in Lappeenranta University of Te...
Chapter
In this chapter, we will create and use generalized combined comparison measures from t-norms (T) and t-conorms (S) for comparison of data. Norms are combined by the use of generalized mean, where t-norms give minimum and t-conorms give maximum compensation. From this intuitively thinking follows that when these norms are aggregated together, these...
Article
Full-text available
Medical data is often imprecise, due to many reasons that can be technical or human originated. In this article, we will present a classification example where data in hand is given imprecisely. Data set presents a choice situation where medical doctor has to be able to make a decision where patient is to be sent after the surgery. Data is given li...
Conference Paper
In science and technology education lectures, exercises, and report type home works are aimed to guide individual learning in knowing applied methods and tools to gain knowledge and skills needed in future profession. This research presents observations how flipped learning and group work would solve some of the motivation and resource related chal...
Chapter
This article presents simple yet efficient way to classify Post-operative patient data. The classification task of this database is to determine where patients in a postoperative recovery area should be sent to next. Because hypothermia is a significant concern after surgery, the attributes correspond roughly to the body temperature measurements. W...
Chapter
Full-text available
In Mamdani systems, redundancy of fuzzy rule bases that derives from extensive sharing of a limited number of output membership functions among the rules, is often an overlooked property. In current study, means for detection and removal of such kind redundancy have been developed. Our experiments with case studies collected from literature and Mac...
Conference Paper
Full-text available
This paper shows that combinatorial complexity of fuzzy systems is at least in part caused by redundancy in these systems and presents the algorithm and its implementation for detection and removal of such redundancy for a special class of Mamdani systems. Performance of the simplification algorithm is demonstrated with uniformly impressive results...
Article
In this article, properties and usability of combined operator based on t-norms and t-conorms is studied in medical data classification. It is shown how this operator can be weighted with differential evolution and aggregated with a generalized mean, and what kinds of measures for comparison can be achieved from this procedure. New operators suitab...
Article
In this article, properties and usability of equivalence operator is studied in medical data classification. It is shown how this operator can be weighted with differential evolution and aggregated with a generalized mean, and what kinds of measures for comparison can be achieved from this procedure. General definition for the comparison measure ba...
Article
Full-text available
In this chapter we will study properties and usability of basic many valued structures called t-norms, t-conorms, implications and equivalences in comparison tasks. We will show how these measures can be aggregated with generalized mean and what kind of measures for comparison can be achieved from this procedure. New classes for comparison measures...
Conference Paper
In this article we are presenting new class of uninorms starting from the 3π-uninorm. We give proof that this new class of the parameterized 3π-uninorm still holds all the properties of uninorms. We also add this new measure generalized mean and weights. We add this comparison measure into the typical instance based classification procedure and sho...
Conference Paper
In this article we study what kind of results can be established using logical similarity measures in classification of some well-known medical data. New approach for the detection of liver disorders, thyroid, diabetes and breast cancer. We compare our results to some known results and show that these logical comparison measures are able to give be...
Conference Paper
In this article we will present two new generalized classes of t-norm- and t-conorm-based generalized means with weights. We are going to test the usability of these measures which we get by combining the classes of t-norms and t-conorms with the generalized mean operator. Since we are using the generalized mean we have an additional parameter that...
Conference Paper
In this article, we will create some new classes of parameterized equivalences that we get from the different meanings of the fuzzy conjunction operators. We will concentrate on studying the class called S implications and equivalences, which rise from this class. We will present measures on the basis of the use of implications and equivalences wit...
Conference Paper
This paper presents a computational model for defining an athlete's aerobic and anaerobic thresholds. The model simulates the decision-making done by specialists in sport medicine. Computation is based on fuzzy decision making using expert criteria. Decision-making means in this paper the use of similarity measures, generalized mean, fuzzy membersh...
Article
In this paper we study a problem of signal compression how to choose a best mother wavelet from the set S of wavelets. The approach is following: First we calculate a discrete wavelet transform of signal by using one standard wavelet. Then we form coefficients mi for each scale i from the wavelet expansions coefficients. Coefficients mi are used fo...
Article
Full-text available
In this article we are presenting new class of uninorms based on the parameterized 3 -uninorm and generalized means with weights. We are also going to test usability of this new measure in classification. Since we are using generalized mean we have an additional parameter that controls the power, which the argument values are raised. Key-Words: - U...
Conference Paper
In this paper, we have done new similarity measures from a continuous t-norm by implementing it in different mean measures. For the implementation, we use a Minkowsky metric based on Lukasiewicz algebra. We test these new similarities in both the generalised and normal form of Lukasiewicz algebra with weight optimisation. The mean measures examined...
Conference Paper
Full-text available
There have been many similarity measures introduced into literature. The ones intro- duced and investigated in this article can be categorized as Minkowsky metric based fuzzy logic measures. We are using normal Ëukasiewicz algebra as our fuzzy structure for our classifier. The major advantage of this method is that it provides semantical in- format...
Conference Paper
Full-text available
The first aim of this paper is to extend the fuzzy similarity relation defined in the generalized Lukasiewicz structure to utilize common and cumulative Minkowsky metrics and introduce a new classifier based on the cumulative similarity measure which uses the Minkowsky metrics in the generalized Lukasiewicz structure. The second aim of this paper i...
Conference Paper
The aim of this paper is to introduce improvements made to a classifier based on maximal fuzzy similarity. Improvements are based on the use of generalized Lukasiewicz-structure and weight optimization. The main benefits of the classifier are its computational efficiency and its strong mathematical background. It is based on many-valued logic and i...
Article
Full-text available
In this paper we use a comparison measure which can be adapted to various different applications and has many good properties for further analysis. This comparison measure is based on the adaptive aggregation of the t-norms and t-conorms. We test this measure in classification tasks, with Dombi and Yager type of t-norm and t-conorm operators. The c...
Article
Full-text available
The aim of this paper is to introduce improvements made to a classifier based on the fuzzy similarity (1). Improvements are based on the use of generalized Łukasiewicz-structure and weight optimization. We are presenting some new results and a more detailed description of the theoretical background and fixing some terminology compared in to our pre...
Article
Full-text available
In this article we are presenting two new classes of t-norm and t-conorm based generalized means with weights. We are going to test usability of these measures which we get by combining classes of t-norms and t-conorms to the generalized mean operator. Since we are using the generalized mean we have an additional parameter that controls the power w...
Article
Full-text available
The main goal of this paper is to consider the usage and usability testing of a virtual mathematical interface. The main sections of the Laboratory of Applied Mathematics at Lappeenranta University of Technology new Web pages will be also introduced here. The reason initiating the design of this interface was that, for some reason, the mathemat-ica...

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