Computational fluid dynamics evaluation of liquid food thermal process in a brick shaped package

Food processes must ensure safety and high-quality products for a growing demand consumer creating the need for better knowledge of its unit operations. The Computational Fluid Dynamics (CFD) has been widely used for better understanding the food thermal processes, and it is one of the safest and most frequently used methods for food preservation. However, there is no single study in the literature describing thermal process of liquid foods in a brick shaped package. The present study evaluated such process and the influence of its orientation on the process lethality. It demonstrated the potential of using CFD to evaluate thermal processes of liquid foods and the importance of rheological characterization and convection in thermal processing of liquid foods. It also showed that packaging orientation does not result in different sterilization values during thermal process of the evaluated fluids in the brick shaped package.

Evaluation of Machine Learning Classifiers for Mobile Network Intrusion Detection Systems

Mobile malwares are increasing with the growing number of Mobile users. Mobile malwares can perform several operations which lead to cybersecurity threats such as, stealing financial or personal information, installing malicious applications, sending premium SMS, creating backdoors, keylogging and crypto-ransomware attacks. Knowing the fact that there are many illegitimate Applications available on the App stores, most of the mobile users remain careless about the security of their Mobile devices and become the potential victim of these threats. Previous studies have shown that not every antivirus is capable of detecting all the threats; due to the fact that Mobile malwares use advance techniques to avoid detection. A Network-based IDS at the operator side will bring an extra layer of security to the subscribers and can detect many advanced threats by analyzing their traffic patterns. Machine Learning(ML) will provide the ability to these systems to detect unknown threats for which signatures are not yet known. This research is focused on the evaluation of Machine Learning classifiers in Network-based Intrusion detection systems for Mobile Networks. In this study, different techniques of Network-based intrusion detection with their advantages, disadvantages and state of the art in Hybrid solutions are discussed. Finally, a ML based NIDS is proposed which will work as a subsystem, to Network-based IDS deployed by Mobile Operators, that can help in detecting unknown threats and reducing false positives. In this research, several ML classifiers were implemented and evaluated. This study is focused on Android-based malwares, as Android is the most popular OS among users, hence most targeted by cyber criminals. Supervised ML algorithms based classifiers were built using the dataset which contained the labeled instances of relevant features. These features were extracted from the traffic generated by samples of several malware families and benign applications. These classifiers were able to detect malicious traffic patterns with the TPR upto 99.6% during Cross-validation test. Also, several experiments were conducted to detect unknown malware traffic and to detect false positives. These classifiers were able to detect unknown threats with the Accuracy of 97.5%. These classifiers could be integrated with current NIDS', which use signatures, statistical or knowledge-based techniques to detect malicious traffic. Technique to integrate the output from ML classifier with traditional NIDS is discussed and proposed for future work.

Design and implementation of machine vision system for the mobile assembly robot

The review of intelligent machines shows that the demand for new ways of helping people in perception of the real world is becoming higher and higher every year. This thesis provides information about design and implementation of machine vision for mobile assembly robot. The work has been done as a part of LUT project in Laboratory of Intelligent Machines. The aim of this work is to create a working vision system. The qualitative and quantitative research were done to complete this task. In the first part, the author presents the theoretical background of such things as digital camera work principles, wireless transmission basics, creation of live stream, methods used for pattern recognition. Formulas, dependencies and previous research related to the topic are shown. In the second part, the equipment used for the project is described. There is information about the brands, models, capabilities and also requirements needed for implementation. Although, the author gives a description of LabVIEW software, its add-ons and OpenCV which are used in the project. Furthermore, one can find results in further section of considered thesis. They mainly represented by screenshots from cameras, working station and photos of the system. The key result of this thesis is vision system created for the needs of mobile assembly robot. Therefore, it is possible to see graphically what was done on examples. Future research in this field includes optimization of the pattern recognition algorithm. This will give less response time for recognizing objects. Presented by author system can be used also for further activities which include artificial intelligence usage.

Kaksoiskäämitty hybridibussin kestomagneettiajomoottori

Tämä työ on tehty Lappeenrannan teknilliselle yliopistolle, joka on suunnitellut ja toteuttanut hybridibussin. Hybridibussin ajomoottorissa käytetään kaksoiskäämitystä, joka mahdollistaa bussin ajamisen vikatilanteessa, jossa toinen käämityksistä on epäkunnossa. Työn tavoitteena on selvittää, millainen kaksoiskäämitys toimii parhaiten tämän hybridibussin kestomagneettiajomoottorissa. Työssä tutustutaan ajomoottoreihin ja niiltä vaadittaviin ominaisuuksiin sekä vikasietoisiin sähkömoottoreihin. Tutkimuksessa löydettyihin vikasietoisiin ajomoottoreihin perustuen päädyttiin neljään kaksoiskäämitysvaihtoehtoon. Näitä kaksoiskäämityksiä tutkittiin FE-analyysiä hyödyntäen. Kaksoiskäämitysten toimintaa simuloitiin nimellis- ja vikatilanteessa. Simuloinnin tuloksista selvisi, että kaksoiskäämitys, jossa jokaisessa urassa oli puolet yhtä käämitystä ja puolet toista (kaksoiskäämitys 1), ei toiminut kunnolla nimellistilanteessa eikä vikatilanteessa. Suurin ongelma oli vikatilanteessa aiheutuva suuri oikosulkuvirta. Kaksoiskäämitys, jossa kaksi napaa oli samaa käämitystä (kaksoiskäämitys 2), toimi moitteettomasti nimellistilanteessa. Vikatilanteen toiminnassa kuitenkin havaittiin epäjaksollisuutta magneettivuontiheydessä, mikä on haitallista moottorin käynnille ja vaaraksi roottorille. Kaksoiskäämityksiä, joista ensimmäisessä oli neljäsosa konetta samaa käämitystä (kaksoiskäämitys 3) ja toisessa puolet koneesta samaa käämitystä (kaksoiskäämitys 4), tutkittiin vikatilanteessa vain magneettivuontiheyden osalta. Puolet ja puolet käämityn koneen osalta magneettivuontiheys osottautui epäjaksolliseksi kuten oli odotettu. Neljäsosiksi käämityn koneen magneettivuontiheys oli säännöllisen jaksollinen. Nimellispisteessä kaksoiskäämityksillä 3 ja 4 havaittiin suuri vääntöväre verrattuna kaksoiskäämityksiin 1 ja 2. Johtopäätöksenä kaksoiskäämitys 3 vaikuttaa lupaavalta, mikäli suuri nimellispisteen vääntöväre saadaan hallintaan käyttämällä uravinoutta staattorissa.

8/5/20, fête de Jeanne d'Arc à Orléans [procession place Ste Croix, le maréchal Foch avec, à sa gauche, le maire d'Orléans, Albert Laville] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59182

8/5/20, fête de Jeanne d'Arc à Orléans [procession religieuse place du Martroi] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59183

8/5/20, fête de Jeanne d'Arc à Orléans [Mgr Touchet salue le maréchal Foch] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59184

8/5/20, fête de Jeanne d'Arc à Orléans [procession religieuse rue Jeanne d'Arc] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59186

8/5/20, fête de Jeanne d'Arc à Orléans [parade militaire sur la place du Martroi] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59190

8/5/20, fête de Jeanne d'Arc à Orléans [parade militaire sur la place du Martroi] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59191

8/5/20, fête de Jeanne d'Arc à Orléans [parade militaire sur la place du Martroi] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59192

8/5/20, fête de Jeanne d'Arc à Orléans [évêques sur le parvis de la cathédrale] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59193

8/5/20, fête de Jeanne d'Arc à Orléans [les sénateurs Rabier, Donon et Roy, le préfet Gaston Allain et le maréchal Foch dans la tribune officielle, place du Martroi] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59194

8/5/20, fête de Jeanne d'Arc à Orléans [le maréchal Foch accompagné de notables dans une rue d'Orléans] : [photographie de presse] / [Agence Rol]

Référence bibliographique : Rol, 59197