Crossing i två svenskspråkiga samtidsromaner

De senaste årens ökade flerspråkighet i samhället gör avtryck i den svenskspråkiga romanen. Verk av författare som Jonas Hassen Khemiri och Marjaneh Bakhtiari har gjort att man i Sverige ibland har talat om ”a new literary field” (Jonsson 2012, 213). Mycket av uppmärksamheten kring verken har rört flerspråkigheten, som till viss del har förklarats av författarnas ursprung och erfarenheter av kulturer och språk som är relativt nya i Norden, ibland kallade ”invandrarspråk”. Förhållandet mellan författarnas egen språkliga och kulturella repertoar och verkens flerspråkighet har debatterats. Kritiken har riktats mot att det ofta varit författarnas etnicitet istället för deras författargärning som kommenterats (Nilsson 2010, 132) och man har förbisett att verken ofta problematiserar just kategoriseringar som ”invandrarlitteratur” (Nilsson 2010, 10). För att komma ifrån detta men ändå behålla fokus på den litterära flerspråkigheten, är en analys av verk som innehåller ”invandrarspråk”, men som är skrivna av svenskspråkiga författare utan invandrarbakgrund, intressant. Syftet med studien är följaktligen att undersöka vilken roll den litterära flerspråkigheten får i verk av en finlandssvensk och en sverigesvensk författare, som inte är självklara representanter för de språk de använder i sina verk. Frågan är i vilken omfattning och på vilket sätt de studerade verken ger uttryck för litterär flerspråkighet och vilka potentiella effekter den litterära flerspråkigheten kan ha i verken. För att ta reda på detta, har den finlandssvenska författaren Johanna Holmströms, samt den svenske författaren Jens Lapidus romaner analyserats.

The Construction of Identity in Edwidge Danticat's The Farming of Bones

The Farming of Bones deals with issues surrounding the dynamic connections between identity and boundary construction in post-colonial context. It will present an analysis of how the novelist problematizes and communicates her idea of social and national identity construction to her readers and how the readers can identify themselves with the struggles and challenges of the protagonist Amabelle who is trying to find her own identity. This essay will show how Danticat’s novel contributes to an understanding of national identity beyond borders and makes the reader take the role of an individual who constructs her identity by uncovering moments of raw humanness. Until now, no literary scholar has examined the protagonist’s therapeutic role in bridging this social and national gap. Instead critics have discussed other issues of the novel like crossing and re-crossing the border, love, dreams, etc. Although this scholarship has been very effective and rewarding, it lacks any focus on the complexity of the characters’ identity construction. Therefore, this paper will reconsider Danticat’s The Farming of Bones with a closer attention to the question of identity.

ANALYSIS & STUDY OF AI TECHNIQUES FORAUTOMATIC CONDITION MONITORING OFRAILWAY TRACK INFRASTRUCTURE : Artificial Intelligence Techniques

Since the last decade the problem of surface inspection has been receiving great attention from the scientific community, the quality control and the maintenance of products are key points in several industrial applications.The railway associations spent much money to check the railway infrastructure. The railway infrastructure is a particular field in which the periodical surface inspection can help the operator to prevent critical situations. The maintenance and monitoring of this infrastructure is an important aspect for railway association.That is why the surface inspection of railway also makes importance to the railroad authority to investigate track components, identify problems and finding out the way that how to solve these problems. In railway industry, usually the problems find in railway sleepers, overhead, fastener, rail head, switching and crossing and in ballast section as well. In this thesis work, I have reviewed some research papers based on AI techniques together with NDT techniques which are able to collect data from the test object without making any damage. The research works which I have reviewed and demonstrated that by adopting the AI based system, it is almost possible to solve all the problems and this system is very much reliable and efficient for diagnose problems of this transportation domain. I have reviewed solutions provided by different companies based on AI techniques, their products and reviewed some white papers provided by some of those companies. AI based techniques likemachine vision, stereo vision, laser based techniques and neural network are used in most cases to solve the problems which are performed by the railway engineers.The problems in railway handled by the AI based techniques performed by NDT approach which is a very broad, interdisciplinary field that plays a critical role in assuring that structural components and systems perform their function in a reliable and cost effective fashion. The NDT approach ensures the uniformity, quality and serviceability of materials without causing any damage of that materials is being tested. This testing methods use some way to test product like, Visual and Optical testing, Radiography, Magnetic particle testing, Ultrasonic testing, Penetrate testing, electro mechanic testing and acoustic emission testing etc. The inspection procedure has done periodically because of better maintenance. This inspection procedure done by the railway engineers manually with the aid of AI based techniques.The main idea of thesis work is to demonstrate how the problems can be reduced of thistransportation area based on the works done by different researchers and companies. And I have also provided some ideas and comments according to those works and trying to provide some proposal to use better inspection method where it is needed.The scope of this thesis work is automatic interpretation of data from NDT, with the goal of detecting flaws accurately and efficiently. AI techniques such as neural networks, machine vision, knowledge-based systems and fuzzy logic were applied to a wide spectrum of problems in this area. Another scope is to provide an insight into possible research methods concerning railway sleeper, fastener, ballast and overhead inspection by automatic interpretation of data.In this thesis work, I have discussed about problems which are arise in railway sleepers,fastener, and overhead and ballasted track. For this reason I have reviewed some research papers related with these areas and demonstrated how their systems works and the results of those systems. After all the demonstrations were taking place of the advantages of using AI techniques in contrast with those manual systems exist previously.This work aims to summarize the findings of a large number of research papers deploying artificial intelligence (AI) techniques for the automatic interpretation of data from nondestructive testing (NDT). Problems in rail transport domain are mainly discussed in this work. The overall work of this paper goes to the inspection of railway sleepers, fastener, ballast and overhead.

Speech Assessment for the Classification of Hypokinetic Dysthria in Parkinson Disease

The aim of this thesis is to investigate computerized voice assessment methods to classify between the normal and Dysarthric speech signals. In this proposed system, computerized assessment methods equipped with signal processing and artificial intelligence techniques have been introduced. The sentences used for the measurement of inter-stress intervals (ISI) were read by each subject. These sentences were computed for comparisons between normal and impaired voice. Band pass filter has been used for the preprocessing of speech samples. Speech segmentation is performed using signal energy and spectral centroid to separate voiced and unvoiced areas in speech signal. Acoustic features are extracted from the LPC model and speech segments from each audio signal to find the anomalies. The speech features which have been assessed for classification are Energy Entropy, Zero crossing rate (ZCR), Spectral-Centroid, Mean Fundamental-Frequency (Meanf0), Jitter (RAP), Jitter (PPQ), and Shimmer (APQ). Naïve Bayes (NB) has been used for speech classification. For speech test-1 and test-2, 72% and 80% accuracies of classification between healthy and impaired speech samples have been achieved respectively using the NB. For speech test-3, 64% correct classification is achieved using the NB. The results direct the possibility of speech impairment classification in PD patients based on the clinical rating scale.

L’infidélité dans le couple : Charles et Emma Bovary dans Madame Bovary de Flaubert et Dinah et Loulou dans Traversée de la Mangrove de Maryse Condé

Ce travail sur l’infidélité dans le couple traite les différentes sources de l’ennui ainsi que leurs conséquences dans la vie du couple. Les différentes opinions de différents auteurs sur la cause de l’infidélité dans le couple sont vues en long et en large. L’éducation féminine du XIXème siècle éclaire sur le handicap qui a entrainé certaines filles dans le malheur car l’éducation de l’époque ne les avait pas bien préparées pour devenir de bonnes épouses. Ce mémoire montre l’image de la religion dans ces deux oeuvres : Madame Bovary et Traversée de la mangrove. La question est de voir comment ces auteurs peignent la religion dans ces oeuvres et pourquoi ils adoptent l’infidélité pour sauver la femme de son ennui. Enfin, la comparaison de ces ennuis est faite afin de voir que dans ces couples, malgré le fait qu’ils appartiennent à des époques différentes, l’ennui dans le couple est le même. Ces auteurs ont procédé aux mêmes stratégies pour sauver le couple de son ennui. La morale critique et religieuse a été utilisée pour aborder ce thème, lorsque nous avons fait une lecture biblique de ces deux oeuvres.

Assessment of PD Speech Anomalies @ Home

Background: Voice processing in real-time is challenging. A drawback of previous work for Hypokinetic Dysarthria (HKD) recognition is the requirement of controlled settings in a laboratory environment. A personal digital assistant (PDA) has been developed for home assessment of PD patients. The PDA offers sound processing capabilities, which allow for developing a module for recognition and quantification HKD. Objective: To compose an algorithm for assessment of PD speech severity in the home environment based on a review synthesis. Methods: A two-tier review methodology is utilized. The first tier focuses on real-time problems in speech detection. In the second tier, acoustics features that are robust to medication changes in Levodopa-responsive patients are investigated for HKD recognition. Keywords such as Hypokinetic Dysarthria , and Speech recognition in real time were used in the search engines. IEEE explorer produced the most useful search hits as compared to Google Scholar, ELIN, EBRARY, PubMed and LIBRIS. Results: Vowel and consonant formants are the most relevant acoustic parameters to reflect PD medication changes. Since relevant speech segments (consonants and vowels) contains minority of speech energy, intelligibility can be improved by amplifying the voice signal using amplitude compression. Pause detection and peak to average power rate calculations for voice segmentation produce rich voice features in real time. Enhancements in voice segmentation can be done by inducing Zero-Crossing rate (ZCR). Consonants have high ZCR whereas vowels have low ZCR. Wavelet transform is found promising for voice analysis since it quantizes non-stationary voice signals over time-series using scale and translation parameters. In this way voice intelligibility in the waveforms can be analyzed in each time frame. Conclusions: This review evaluated HKD recognition algorithms to develop a tool for PD speech home-assessment using modern mobile technology. An algorithm that tackles realtime constraints in HKD recognition based on the review synthesis is proposed. We suggest that speech features may be further processed using wavelet transforms and used with a neural network for detection and quantification of speech anomalies related to PD. Based on this model, patients' speech can be automatically categorized according to UPDRS speech ratings.

Wind farm construction impacts reindeer migration and movement corridors

Over the last decade, we have seen a massive increase in the construction of wind farms in northern Fennoscandia. Wind farms comprising hundreds of wind turbines are being built, with little knowledge of the possible cumulative adverse effects on the habitat use and migration of semi-domesticated free-ranging reindeer. We assessed how reindeer responded to wind farm construction in an already fragmented landscape, with specific reference to the effects on use of movement corridors and reindeer habitat selection. We used GPS-data from reindeer during calving and post-calving in the MalAyen reindeer herding community in Sweden. We analysed data from the pre-development years compared to the construction years of two relatively small wind farms. During construction of the wind farms, use of original migration routes and movement corridors within 2 km of development declined by 76 %. This decline in use corresponded to an increase in activity of the reindeer measured by increased step lengths within 0-5 km. The step length was highest nearest the development and declining with distance, as animals moved towards migration corridors and turned around or were observed in holding patterns while not crossing. During construction, reindeer avoided the wind farms at both regional and landscape scale of selection. The combined construction activities associated with even a few wind turbines combined with power lines and roads in or close to central movement corridors caused a reduction in the use of such corridors and grazing habitat and increased the fragmentation of the reindeer calving ranges.