Papers by T. Virkki-hatakka
Hybrid, fuzzy and neural adaptation in case-based reasoning system for process equipment selection
Työelämäpedagogiikka korkeakoulutuksessa -Asiantuntijuus, toimijuus ja työelämätaidot (TYÖPEDA) o... more Työelämäpedagogiikka korkeakoulutuksessa -Asiantuntijuus, toimijuus ja työelämätaidot (TYÖPEDA) oli opetus-ja kulttuuriministeriön vuosina 2018-2020 tukema korkeakoulutuksen kehittämishanke. Tähän Jyväskylän yliopiston koordinoimaan hankkeeseen osallistui 10 yliopistoa ja 6 ammattikorkeakoulua. Hankkeen avulla on vahvistettu korkeakoulutuksen työelämänäkökulmaa muun muassa luomalla toimintamalleja työelämätaitojen kehittämiseen, opetussuunnitelmien uudistamiseen, työelämäpedagogiseen ohjaukseen sekä TKI-toiminnan ja koulutuksen kiinteämpään linkittämiseen toisiinsa. Työpeda-hankkeen päättyessä haluamme kiittää kaikkia hanketoimijoita ja yhteistyökumppaneitamme saumattomasta ja hedelmällisestä yhteistyöstä. Hankkeen loppukaudelle on lyönyt leimansa COVID-19-pandemia, joka on monin tavoin vaikuttanut korkeakoulujen toimintaan ja tuonut mukanaan odottamattomia haasteita. Pandemian myötä on noussut myös hyviä asioita: uudenlaisten opiskelu-ja työskentelytapojen oppimista, teknologian parempaa hyödyntämistä, toisista välittämistä ja uudenlaista yhteisöllisyyttä. Odottamattomat muutokset ovat toki olleet kuormittavia. Pandemian alkuvaiheessa monien työmäärä lisääntyi äkillisesti, varsinkin terveydenhuollossa ja opetussektorilla. Sitten alettiin puhua uudesta normaalista, ja siitä, ettei paluuta täysin entiseen ole, vaan asiantuntijatyössä etätyöskentely jäänee osittain pysyväksi työskentelytavaksi korona-viruksen kukistamisen jälkeen.
Practice makes perfect!:developing an internship process in Finnish universities
An internship can bridge theoretical knowledge with essential working life skills, improve studen... more An internship can bridge theoretical knowledge with essential working life skills, improve student’s confidence towards his/her own profession and know-how, and advance further studies and networking [1]. According to several studies, e.g. [2]; [3], an internship period or other comparable work placement period during university studies will enhance students’ career development later. Generic working-life skills, for example team working, problem solving and communication skills play an important role in employment after graduation [2]. Substance skills are not adequate if a person cannot adapt them in a working life [4]. Even getting used to regular and target-oriented working will enhance employment in general after graduation [1]. An internship period is often the first familiarization with the own subject field line of work, and students may think that the internship period is the only way of learning working life skills. However, students do not always recognize the generic ski...
Harjoitus tekee mestarin – harjoittelu maisterin?:kokemuksia uudenlaisista yliopisto-opintoihin integroiduista työelämäjaksoista
Keys to a successful internship Smooth cooperation with working life benefits all parties: the ed... more Keys to a successful internship Smooth cooperation with working life benefits all parties: the educational institution, the employer, and the student. The internship model described in this guide is an excellent example of fruitful cooperation. Clear and consistent internship practices help employers to supervise students at the workplace and students to perform their tasks during the internship. This is important particularly in cases where one workplace takes several interns from different degree programmes or universities. The aim of these recommendations and examples is to establish a solid foundation for successful internships. Clear objectives, responsibilities and rules and open communication between all the parties build the foundation for a successful internship and meaningful experiences.
Hybrid, fuzzy and neural adaptation in case-based reasoning system for process equipment selection
Computers & Chemical Engineering
Adaptation is the most difficult step in case-based reasoning. There are no general methods for t... more Adaptation is the most difficult step in case-based reasoning. There are no general methods for the modification of the retrieved cases to fit the actual design problem. The use of new, context independent technique is an important research subject. In the paper, a hybrid adaptation system is proposed. Its main components are based on fuzzy logic and neural networks. The applicability of the proposed adaptation methods is examined in preliminary design of mixing system.
Advantages of on-Site Microreactors from Safety Viewpoint
aiche.confex.com
On-site production of chemicals is sometimes feasible even though the production in large scale, ... more On-site production of chemicals is sometimes feasible even though the production in large scale, for the needs of several custumers, is usually more economical. Often the main advantage is connected with safety issues. By producing on-site, the Transportation of dangerous ...
Modelling at different stages of process life-cycle
The role of models in process development is discussed in the paper. Scientists are developing mo... more The role of models in process development is discussed in the paper. Scientists are developing more and more impressive results in computer aided process engineering and that way generating new possibilities. In spite of that, there exist, at least in most areas of chemical and process industries, series difficulties when models area applied in practice. Such difficulties are described with
The risk assessment of potentially hazardous carbon nanomaterials for small scale operations
Applied Materials Today, 2017
A typology of knowledge collaboration: A case study of an initiative to accelerate the internationalization of Finnish cleantech entrepreneurship
Industry and Higher Education, 2016
A critical understanding of how knowledge collaboration may work in various configurations is a p... more A critical understanding of how knowledge collaboration may work in various configurations is a prerequisite in shedding light on how effective knowledge collaboration affects opportunities for business growth. This article presents a case analysis of a knowledge collaboration initiative between a university and other knowledge organizations. The purpose of the collaboration was to accelerate the internationalization of Finnish clean technology entrepreneurship. Various knowledge actors participated but did not succeed in translating mutual knowledge into new opportunities for clean technology business growth in the Russian market. The authors develop a typology for knowledge collaboration, providing an explanatory logic for the multidimensional development paths of such collaboration and the considerations involved. This typology may support the professional development of knowledge workers engaged in similar initiatives. It may also assist in the establishment and assessment of kn...
System analysis of waste oil management in Finland
Waste Management & Research, 2014
Waste oil management systems include processes such as generation, collection, recycling, and dis... more Waste oil management systems include processes such as generation, collection, recycling, and disposal and result in various environmental, economic, social, and regulatory impacts which complicate waste management analysis. In this paper, the waste oil management system in Finland is analysed using the systems thinking approach to identify the main system components and to describe the interactions between them. The results of analysing the Finnish system increase the understanding of the main factors affecting the performance of waste oil management. The outcome of this analysis can be adapted for the examination of similar systems. The waste oil management system analysis shows an increase in the performance: the waste oil collection rate within the official collection system has increased more than 30% during the last 6 years. The environmental performance of the treatment and recovery system have increased, taking into account the increase of the material recovery rate, more than 70% during the last 6 years.
Student mobility and migrant knowledge: Recognizing the flow value
Industry and Higher Education, 2014
ABSTRACT For a better understanding of the impact of global student flows on industries and knowl... more ABSTRACT For a better understanding of the impact of global student flows on industries and knowledge societies, we need to rethink the relationship between global student mobility and migrant knowledge. The authors elaborate on the view that current policy and practice relating to higher education mobility puts too much emphasis on mobilizing pools of knowledge, thereby ignoring the fact that knowledge flows tend to be concentrated among people who are actively participating in the knowledge flow. Adopting a shared social context perspective on the dynamics of knowledge flow embedded in mobile minds may enable a better assessment to be made of the impact of student mobility over time on industries and societies. Given such an assessment, policy and practice measures can be developed to encourage those involved in the knowledge flow to exploit student talent flow more effectively.
Hybrid, fuzzy and neural adaptation in case-based reasoning system for process equipment selection
Computers & Chemical Engineering, 1998
ABSTRACT Adaptation is the most difficult step in case-based reasoning. There are no general meth... more ABSTRACT Adaptation is the most difficult step in case-based reasoning. There are no general methods for the modification of the retrieved cases to fit the actual design problem. The use of new, context independent technique is an important research subject. In the paper, a hybrid adaptation system is proposed. Its main components are based on fuzzy logic and neural networks. The applicability of the proposed adaptation methods is examined in preliminary design of mixing system.
Computers & Chemical Engineering, 1997
Case-based reasoning (CBR) is an alternative approach to rule case-based and object-oriented syst... more Case-based reasoning (CBR) is an alternative approach to rule case-based and object-oriented systems. CBR is based on the retrieval and adaptation of the old solutions to the new problems. There are five steps in CBR: introduction of a new problem, retrieval of the most similar cases, adaptation of the most similar solutions, validation of the current solution and updating of the system by adding the verified solution to the database of cases. Adaptation phase is a crucial element in obtaining a good quality solutions. Up to now, there were no proposals for the automatization of the adaptation phase in the systems for the equipment selection. In the presented system the retrieval search has been organized by using fiat memory and serial search. The adaptation is realized by the fuzzy calculation of the membership function built on the basis of the most similar retrieved cases. The main advantage of this system is use of high quality, verified knowledge and easiness of updating.
Computers & Chemical Engineering, 1997
Case-based reasoning (CBR) is an alternative approach to rule case-based and object-oriented syst... more Case-based reasoning (CBR) is an alternative approach to rule case-based and object-oriented systems. CBR is based on the retrieval and adaptation of the old solutions to the new problems. There are five steps in CBR: introduction of a new problem, retrieval of the most similar cases, adaptation of the most similar solutions, validation of the current solution and updating of
Chemical Engineering & Technology, 2005
A novel method for process development is presented. The approach is based on the evaluation of a... more A novel method for process development is presented. The approach is based on the evaluation of available technologies and aiming at new and innovative designs by combining their best features in a creative way. The knowledge is extracted either directly from similar processes or from processes with sufficient analogy. A case study on melamine process development is given to illustrate the application of the methodology.
A case-based reasoning safety decision-support tool: Nextcase/safety
Expert Systems with Applications, 2009
ABSTRACT We developed, made suitable and tested a generic case-based reasoning platform, called N... more ABSTRACT We developed, made suitable and tested a generic case-based reasoning platform, called Nextcase/safety, for helping safety managers taking decisions on prevention measures more efficiently. Recommendations provided by the software are based on quick and effective past similar incident retrieval and expertise-driven advice. Hence, the developed software makes it easier and more objective for safety managers to draw conclusions and to give recommendations based on the expertise embedded in past incidents when an incident occurs in their company. Nextcase/safety provides its expert user with suggestions and information and does not require an extensive amount of time. The most time-consuming phase is datasheet generation and inputting accident cases into the database. The program was tested using a real accident database from the marine industry. The case-study indicates the high potential of the Nextcase/safety software for all industrial safety managers. Furthermore, the pros and cons of the Nextcase/safety program for building a company accident database were indicated.
Computers & Chemical Engineering, 1998
Adaptation is the most difficult step in case-based reasoning. There are no general methods for t... more Adaptation is the most difficult step in case-based reasoning. There are no general methods for the modification of the retrieved cases to fit the actual design problem. The use of new, context independent technique is an important research subject. In the paper, a hybrid adaptation system is proposed. Its main components are based on fuzzy logic and neural networks. The applicability of the proposed adaptation methods is examined in preliminary design of mixing system 0
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Papers by T. Virkki-hatakka