General Slobodan Praljak’s honorable defiance

Having listened to the summary of the Appeal Judgment and having stood up to hear the litany of crimes affirmed by the Appeals Chamber before his sentence of 20 years was upheld, General Slobodan Praljak took his own life by drinking poison – but not before expressing his utter contempt for the Judgment, and by extension, his contempt for the Judges and the ICTY as a judicial institution

Design, Optimization and Modelling of High Power Density Direct-Drive Wheel Motor for Light Hybrid Electric Vehicles

Throughout the last few years, permanent magnet synchronous motors have been proven suitable candidates for hybrid electric vehicles (HEVs). Among them, the outer rotor topology with surface mounted magnets and concentrated windings seems to be very promising and has not been extensively investigated in literature. In this study, an overall optimization and modelling procedure is proposed for the design and operational assessment of high-power density direct-drive in-wheel motors, targeted towards a light HEV application. The analytical model of an HEV’s subsystems is then implemented for a more accurate evaluation of overall powertrain performance. Furthermore, a simple but effective cooling system configuration, which is taking into account the specific problem requirements, is also proposed

Influence of Soft Magnetic Materials Application to Squirrel Cage Induction Motor Design and Performance

Most of the electrical machines design studies found in literature lie on the concept that the design under investigation (and optimization) focuses mainly on the geometrical aspects of the machine and thus takes into account only a certain ferromagnetic material (i.e. iron) for its parts. These studies, give little or no information about the influence of material alternatives on the same (and optimized) design. From a manufacturer's point of view though, this information is crucial especially nowadays that there are a lot of commercially available materials in the market. In this context, this paper presents the results of a research project in the design stage of an energy efficient three phase squirrel cage induction motor (SCIM), by investigating the effects of several soft magnetic materials (adopted for its stator and/or its rotor parts) on multiple quantities of primary concern such as: efficiency, power factor, output torque, losses, weight and cost. After a brief proposed design procedure, a total of twenty-two different materials from recent manufacturers' data were examined. Also, the main electromagnetic analysis was performed through commercial analysis software. Simple ranking methods are also proposed here and the results obtained are then thoroughly discussed and commented

Časni prkos generala Slobodana Praljka

Odslušavši sažetak presude u žalbenom postupku i ustavši da čuje litaniju zločina koje je utvrdilo Žalbeno vijeće prije nego mu je potvrđena presuda na 20 godina zatvora, general Slobodan Praljak uzeo si je vlastiti život popivši otrov – ali tek nakon što je izrazio svoj krajnji prijezir prema presudi, a dalje i prijezir prema sudcima i Međunarodnom kaznenom sudu za bivšu Jugoslaviju (MKSJ) kao sudskoj instituciji

Polyimides containing oxyethylene units. Part 4: Polymerization of dianhydrides containing ether linkages

The development of new composite resins for various aerospace applications is attempted. Although it is highly desirable that these polymers be soluble in order to facilitate processing, they must display considerable solvent-resistance in use. A recent approach has involved the synthesis of a new series of polyimides containing flexible linkages. The polymers were prepared by the polymerization of aromatic dianhydrides with diamines containing oxyethylene linkages. For example, the polymerization of 3,3',4,4'-benzophenonetetracarboxylic dianhydride (BTDA) with 1,2-bis(4-aminophenoxy)ethane (1a) and bis2-(4-aminophenoxy)ethylether (lb), afforded highly crystalline polyimides that were completely insoluble. However, a polyimide that was amorphous and soluble was obtained from the polymerization of BTDA and an isomer of lb, i.e., bis2-(3-aminophenoxy)ethyl ether (4b). In an attempt to obtain a soluble, amorphous polyimide that could be annealed into a crysalline state, block copolymers of 1b and 4b and BTDA were prepared. Copolymers containing less than 20 weight % 1b were soluble in organic solvents. However, these polymers did not crystallize when heated above their Tg's. Copolymers containing higher levels of 1b were semicrystalline and insoluble. The polymerization of the diamines containing oxyethylene linkages with 4,4'-oxydiphthalic anhydride (ODPA) and a new dianhydride, i.e., 4,4'-oxyethyleneoxyethyleneoxydiphthalic anhydride (OEDA) was investigated. It was postulated that the use of these more flexible dianhydrides would result in more processable polyimides

Permanent Magnet Synchronous Motor Design using Grey Wolf Optimizer Algorithm

Common high-torque low-speed motor drive schemes combine an induction motor coupled to the load by a mechanical subsystem which consists of gears, belt/pulleys or camshafts. Consequently, these setups present an inherent drawback regarding to maintenance needs, high costs and overall system deficiency. Thus, the replacement of such a conventional drive with a properly designed low speed permanent magnet synchronous motor (PMSM) directly coupled to the load, provides an attractive alternative. In this context, the paper deals with the design evaluation of a 5kW/50rpm radial flux PMSM with surface-mounted permanent magnets and inner rotor topology. Since the main goal is the minimization of the machine's total losses and therefore the maximization of its efficiency, the design is conducted by solving an optimization problem. For this purpose, the application of a new meta-heuristic optimization method called “Grey Wolf Optimizer” is studied. The effectiveness of the method in finding appropriate PMSM designs is then evaluated. The obtained results of the applied method reveal satisfactorily enhanced design solutions and performance when compared with those of other optimization techniques

Σφαιρική οπτική ανίχνευση συμβάντων με χρήση του αλγορίθμου APIT

Η παρούσα εργασία επικεντρώνεται στον προσδιορισμό της γεωγραφικής θέσης συμβάντων που εντοπίζονται σε εικονορροές. Προτείνεται μια παραλλαγή του αλγορίθμου APIT, που χρησιμοποιείται για χωροθέτηση κόμβων σε ασύρματα δίκτυα αισθητήρων, και παρουσιάζεται ένα σύστημα αυτόματου εντοπισμού που χρησιμοποιεί τον αλγόριθμο αυτό. Ο αλγόριθμος με βάση τις συντεταγμένες του σημείου της εικόνας που προσπαθεί να προσδιορίσει χωρικά και μιας βάσης δεδομένων με σημεία αναφοράς δίνει μια εκτίμηση της γεωγραφικής θέσης του συμβάντος. Επειδή η διαδικασία αυτή είναι ανεξάρτητη για κάθε εικόνα έγιναν πολλές δοκιμές πάνω σε στατικές εικόνες ώστε να διαπιστωθεί η εγκυρότητα του αλγορίθμου και να αναλυθεί η ακρίβειά του. Το σύστημα που αναπτύχθηκε έχει σαν κύριο στόχο να παρουσιάσει τις δυνατότητες χρήσης του αλγορίθμου σε εφαρμογές εντοπισμού θέσης συμβάντων σε βίντεο. Ο αλγόριθμος είναι γρήγορος και κατά περιπτώσεις μπορεί να δώσει πολύ ακριβή αποτελέσματα. Η ακρίβειά του επηρεάζεται κυρίως από την μορφολογία του εδάφους και την πυκνότητα των σημείων αναφοράς και αναλόγως την περίπτωση μπορεί να χρειαστεί κάποια ιδιαίτερη παραμετροποίηση για να μπορεί να δώσει όσο το δυνατόν καλύτερα αποτελέσματα.This work focuses on identifying the geographical location of events found in video- streams. We propose a vairiation of the APIT algorithm, used for node localization in wireless sensor networks , and we present an auto-detection system that uses this algorithm. The algorithm based on the image coordinates of the point we are trying to locate and reference points from a database, gives an estimation of the location of the event. Because this process is independent for each image, many tests were performed on static images to determine the validity of the algorithm and to analyze its accuracy. The main purpose of the developed system is to present the possibilities of using the algorithm in applications that require event localization from video streams. The algorithm is fast and on occasion can give very accurate results. Its accuracy is mainly affected by the terrain morphology and the density of the reference points and, depending on the case, some particular parameterization may be needed to give the best possible results

Machine learning and deep learning based methods toward Industry 4.0 predictive maintenance in induction motors: Α state of the art survey

Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D of IMs are critical processes, considering that they constitute the main power source in the industrial production environment. Machine learning (ML) methods have enhanced the performance and reliability of PdM. Various deep learning (DL) based FD/D methods have emerged in recent years, providing automatic feature engineering and learning and thereby alleviating drawbacks of traditional ML based methods. This paper presents a comprehensive survey of ML and DL based FD/D methods of IMs that have emerged since 2015. An overview of the main DL architectures used for this purpose is also presented. A discussion of the recent trends is given as well as future directions for research. Design/methodology/approach: A comprehensive survey has been carried out through all available publication databases using related keywords. Classification of the reviewed works has been done according to the main ML and DL techniques and algorithms Findings: DL based PdM methods have been mainly introduced and implemented for IM fault diagnosis in recent years. Novel DL FD/D methods are based on single DL techniques as well as hybrid techniques. DL methods have also been used for signal preprocessing and moreover, have been combined with traditional ML algorithms to enhance the FD/D performance in feature engineering. Publicly available datasets have been mostly used to test the performance of the developed methods, however industrial datasets should become available as well. Multi-agent system (MAS) based PdM employing ML classifiers has been explored. Several methods have investigated multiple IM faults, however, the presence of multiple faults occurring simultaneously has rarely been investigated. Originality/value: The paper presents a comprehensive review of the recent advances in PdM of IMs based on ML and DL methods that have emerged since 2015Peer Reviewe

Establishment of induced pluripotent stem cell (iPSC) line from an 8-year old female patient with ischemic Moyamoya disease

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