2,110 research outputs found
Kar Çiçekleri
No full textEbûbekir Hâzım Tepeyran's Kar Çiçekleri (Snow Flowers) is a remarkable work emanating from one of the notable figures of Turkish literature, reflecting the social and cultural atmosphere of its era. This volume skillfully blends the author's observations from his official life and his personal experiences with a literary style, offering a profound insight into the lifestyle of the populace, their beliefs, and their social relationships. Kar Çiçekleri is more than just a literary text; it embodies Tepeyran's sensitive approach to societal issues and the human spirit, taking the reader on an emotional and intellectual journey through a collection of stories. This work is a valuable resource for readers interested in the nuances of Turkish Literature and the author's potent observational skills.Ebûbekir Hâzım Tepeyran'ın Kar Çiçekleri adlı eseri, Türk edebiyatının önemli isimlerinden birinin kaleminden çıkan, dönemin sosyal ve kültürel atmosferini yansıtan dikkate değer bir çalışmadır. Yazarın memuriyet hayatındaki gözlemlerini ve kişisel deneyimlerini edebi bir dille harmanladığı bu eser, özellikle halkın yaşam tarzı, inançları ve toplumsal ilişkileri üzerine derinlemesine bir bakış sunar. Kar Çiçekleri, sadece bir edebi metin olmanın ötesinde, Tepeyran'ın toplumsal sorunlara ve insan ruhuna dair hassas yaklaşımını sergileyen, okuyucuyu duygusal ve düşünsel bir yolculuğa çıkaran bir hikâyeler bütünüdür. Bu eser, Türk Edebiyatı'nın inceliklerini ve yazarın güçlü gözlem yeteneğini merak eden okurlar için değerli bir kaynaktır
Novel Image Compression and Deblocking Approach Using BPN and Deep Neural Network Architecture
No full textPart 6: Vision CognitionInternational audienceMedical imaging is an important source of digital information to diagnose the illness of a patient. The digital information generated consists of different modalities that occupy more disk space, and the distribution of the data occupies more bandwidth. A digital image compression technique that can reduce an image's size without losing much of its important information is challenging. In this paper, a novel image compression technique based on BPN and Arithmetic coders is proposed. The high non-linearity and unpredictiveness of the interrelationship between the pixels present in the image to be compressed is handled by BPN. An efficient coding technique called Arithmetic coding is used to produce an image with a better compression ratio and lower redundancy. A deep CNN based image deblocker is used as a post-processing step to remove the artefacts present in the reconstructed image to improve the quality of the reconstructed image. The effectiveness of the proposed methodology is validated in terms of PSNR. The proposed method is able to achieve about a 3% improvement in PSNR compared with the existing methods
Problematyka racjonalizacji kar za wykroczenia
No full textThe subject of this paper is the rationalization of penalties imposed on the basis of petty offences law. The author briefly presents the directives and rules of imposing specified petty offences penalties and points out to the need to introduce changes in this area. The presented considerations lead to the conclusion that, in the face of the inevitable thorough amendments to the provisions of the petty offences code, the favorable solutions seem to be not only eliminating the basic arrest penalty and maintaining a substitute arrest penalty, but also eliminating the reprimand as the mildest penalty for petty offences. Moreover, the author indicates the necessity to increase the limits of the fine penalty and proposes a wider application of restriction of liberty penalty.Przedmiotem niniejszego opracowania jest zagadnienie racjonalizacji kar orzekanych na gruncie prawa wykroczeń. Autorka zwięźle przedstawia dyrektywy i zasady wymiaru poszczególnych kar za wykroczenia oraz wskazuje na potrzebę wprowadzenia zmian w tym zakresie. Przedstawione rozważania zasadniczo prowadzą do konstatacji, iż w obliczu nieuchronnej gruntownej nowelizacji unormowań kodeksu wykroczeń korzystne z punktu widzenia usprawnienia systemu kar za wykroczenia wydaje się nie tylko podnoszone przez doktrynę wyeliminowanie kary aresztu i pozostawienie do dyspozycji sędziego jedynie zastępczej kary aresztu w przypadku niewykonania innych kar, lecz także wyeliminowanie kary o charakterze symbolicznym, jaką jest nagana. Nadto autorka zauważa konieczność podwyższenia granic kary grzywny, które pozostają na niezmienionym poziomie od blisko ćwierćwiecza, oraz proponuje szersze zastosowanie kary ograniczenia wolności. 
Comparative Analysis of Machine Learning Algorithms for Categorizing Eye Diseases
No full textPart 9: Medical Artificial IntelligenceInternational audienceThis paper presents a comparative study on different machine learning algorithms to classify retinal fundus images of glaucoma, diabetic retinopathy, and healthy eyes. This study will aid the researchers to know about the reflections of different algorithms on retinal images. We attempted to perform binary classification and multi-class classification on the images acquired from various public repositories. The quality of the input images is enhanced by using contrast stretching and histogram equalization. From the enhanced images, features extraction and selection are carried out using SURF descriptor and k-means clustering, respectively. The extracted features are fed into perceptron, linear discriminant analysis (LDA), and support vector machines (SVM) for classification. A pretrained deep learning model, AlexNet is also used to classify the retinal fundus images. Among these models, SVM is trained with three different kernel functions and it does multi-class classification when it is modelled with Error Correcting Output Codes (ECOC). Comparative analysis shows that multi-class classification with ECOC-SVM has achieved high accuracy of 92%
A Framework for the Approximation of Relations
No full textPart 2: Uncertain TheoryInternational audienceThe paper proposes a foundation to the approximation of relations by means of relations. We discuss necessary, possible and sufficient approximations and show their links with other topics, such as refinement and simulation. The operators introduced in the paper has been tested on computers
Some Discussions on Subjectivity of Machine and its Function
No full textPart 1: Brain CognitionInternational audienceMany people think that, in order to improve the capabilities of a machine, the machine should have its initiative. Consequently, in order to make machine having its initiative, the consciousness of machine should be established. Here, we propose that instead of consciousness, the subjectivity of the machine should be considered. Thus we can avoid unnecessary arguments, and conduct fruitful discussions. We analyze the subjectivity of a machine and propose a working definition, and discuss 4 major aspects of subjectivity, namely, a priori and cogitating, active perception to outside, self awareness, and dynamic action. Dynamic action of a machine is crucially important and we suggest a possible way to approach it
A Gazdasági Kar képzéseinek gyakorlati megítélése
No full textThe author aims at making a detailed presentation of the higher and further education status quo and situation in the Hungarian South Plain with special reference to the Szent István university Faculty of Economics. The paper presents demand and supply issues related to the labour market of the area and the specialisations that our university can offer in response to economic and social challenges. It also highlights the need for higher education cooperation in the area for the benefit of society and economy
Supplier selection in Telecom supply chain management: a Fuzzy-Rasch based COPRAS-G method
No full textIn the past decade, global competition are forcing firms to increase their level of outsourcing for raw or semi-finished products and building long term relationship with their supply chain partners. The objective is to present a wide-ranging decision making technique for ranking supplier alternatives in view of the effect of selected criteria. A proposed method is developed aiming the usage of Fuzzy-Rasch model applying five point Likert scale for criteria weight and Grey based COmplex PRoportional ASsessment (COPRAS-G) method for evaluating and ranking the potential alternatives, as per criteria. The applicability of the induced methodology for supplier selection problem in all environments is shown through a case study in telecommunication sector. A sensitivity analysis is performed based on changing weight patterns of criteria to show the stability in ranking result of the proposed approach. Further, a comparative analysis between the ranking results of proposed method done with existing grey multi-attribute decision-making methods viz. VIKOR-G, ARAS-G and TOPSIS-G using spearman’s correlation coefficient for checking the reliability of the ranking result
A multi-criteria decision making for renewable energy selection using Z-numbers in uncertain environment
No full textIn recent era of globalization, the world is perceiving an alarming rise in its energy consumption resulting in shortage of fossil fuels in near future. Developing countries like India, with fast growing population and economy, is planning to explore among its existing renewable energy sources to meet the acute shortage of overall domestic energy supply. For balancing diverse ecological, social, technical and economic features, selection among alternative renewable energy must be addressed in a multi-criteria context considering both subjective and objective criteria weights. In the proposed COPRAS-Z methodology, Z-number model fuzzy numbers with reliability degree to represents imprecise judgment of decision makers’ in evaluating the weights of criteria and selection of renewable energy alternatives. The fuzzy numbers are defuzzified and renewable energy alternatives are prioritized as per COmplex PropoRtional ASsessment (COPRAS) decision making method in terms of significance and utility degree. A sensitivity analysis is done to observe the variation in ranking of the criteria, by altering the coefficient of both subjective and objective weight. Also, the proposed methodology is compared with existing multi-criteria decision making (MCDM) methods for checking validity of the obtained ranking result
Zwalnianie z kar w Kodeksie Prawa Kanonicznego z 1983 roku. Zarys problematyki
No full textThe article discusses the concept of penalties in the Church and the remission of such penalties internally as provided for in Title IV of Book VI of the 1983 Code of Canon Law. The author outlines the concept of ecclesiastical penalties. Next, he looks at who is competent to lift penal sanctions in both ordinary and urgent necessities.W artykule zostało przedstawione pojęcie kary kościelnej, a następnie zagadnienia dotyczące zwalniania z kar kościelnych w zakresie wewnętrznym sakramentalnym uregulowane w Tytule IV Księgi VI Kodeksu Prawa Kanonicznego z 1983 r. Autor w pierwszej kolejności scharakteryzował pojęcie kary kościelnej. Następnie przeanalizował władzę kompetentną w zakresie zwalniania z kar w sytuacjach zwyczajnych, jak też zagadnienie uwalniania z kar w sytuacjach naglących
- …
