169 research outputs found
Mining Media Data
No full textIn this tutorial, Mathieu Roche (Cirad, France) Nejat Arinik (INRAE, France) and Mehtab Alam Syed (Cirad, France) first presented an overview of NLP (Natural Language Processing) approaches in order to mine media data for EBS systems. The second part focus on textual classification issues based on data science approaches. Finally, original representations of results are presented for highlighting new knowledge for EBS systems
Changing Demographic, Social, and Economic Conditions in Karachi City, 1959–94: A Preliminary Analysis
No full textKingsley Davis (1961) had argued that the reason that the ancient cities failed to survive was that they were too deadly. He suggested that “three of their (cities) main traits....the crowding of many people in little space, their dependence on widespread contacts (due to in-migration), and their wealth...laid them open to contagious diseases, environmental contamination, occasional starvation and warfare”. Even in the medieval age, some European cities provide examples of such problems; but especially so following the Industrial Revolution. Do the events of the 1980s and the 1990s in Karachi suggest that the city may be heading in the same direction. Recently, The Times London in a lead article in November 1994, labelled Karachi as a “City of Riches and Shattered Dreams”. It further said that Karachi had grown into a megalopolis where life moved fast and street violence had become a norm. Indeed, more than 65 percent of Pakistan’s industries and 80 percent of its finance, banking, and business are concentrated in the city and people come to it from all over the country to find jobs and fulfil their dreams [Husain (1994)]. During the past decade, street violence in the form of ethnic clashes has become a sort of regular event in Karachi. At times, these clashes have been more frequent and even bloodier than the ones before. According to the local newspaper accounts, between 1985 and 1988 (in four years), about 400 people died in Karachi due to violence, which has increased substantially over time. Thus, while the number of violent deaths remained between 350–500 during 1991–93, in 1994 alone the number exceeded 1,100, and during the first three months of 1995, over 300 persons have died due to violence.
Study of efficacy of using recycled waste concrete as fine aggregates in self compacting concrete
No full textMaster of Engineering-Structural Engineering, DissertationSelf-Compacting Concrete (SCC) represents one of the biggest modern innovations in the construction field worldwide. Until now, on an international level, the number of constructions using SCC as a main material is limited. A self-compacting concrete (SCC) is the one that can be placed in the form and can go through obstructions by its own weight and without the need of vibration. Since its first development in Japan in 1988, SCC has gained wider acceptance in Japan, Europe and USA due to its inherent distinct advantages. SCC provides better quality especially in the members having reinforcement congestion or decreasing the permeability and improving durability of concrete”.
In the present graduate thesis there is a thorough report on mechanical properties and the major attributes of the fresh and hardened concrete, as well as on the methods of production and the ingredients of the recycled materials. The primary study is to explore the acceptability of demolished concrete waste aggregate to make self compacting concrete of high strength and desirable properties. It addresses experiments on various mixes of self compacting concrete – one with fresh coarse and fine aggregates, while the others with replacement of 25%, 50 %, 75% and 100% recycled fine aggregates.
Results showed the fresh, hardened and durability properties of all the concrete mixes were comparable. The compressive strength of all the concrete mixes was measured at the age of 7 and 28 days.Civil Engineering Department, Thapar University, Patial
Knowledge sharing and transfer through Tableeghi Jamaat among Muslims in India
No full textHaving had a humble beginning with the efforts
in a small region known as Mewat in India,
Tableeghi Jamaat had now make the presence
felt in almost all the continents.In the absence of any publicity material this is indeed a remarkable achievement.The present paper attempts to describe the efforts of Jamaat in the most populous state of India namely Uttar Pradesh.It is unfortunate that not enough material has been produced related to Tableeghi Jamaat. Furthermore, whatever has been written, most of it, is not free from malice and prejudice.As a matter of fact, this kind of study needs participation on the part of any author to present a balance picture.The present author has spent a considerable amount of time to get familiarity with the ideology of Jamaat. Besides outings, the author also participates in the local activities concerning the daily and weekly programmes. The present paper is thus an outcome of this indoor and outdoor participation.It states that how the Jamaat played significant role in the knowledge sharing and transfer and to what extent the Muslim community had been benefitted in India
Bioreactor landfills: New trends in landfill design
No full textAbstract: Environmental concerns of sentry landfills are generally revolve around quantity and quality of leachate production, gas generation mainly methane, and decomposition processes of organic matter occurring therein. Second main concern is to minimizing the time period for maximum organic degradation to minimize the leachate and gas emissions after saturation of landfill. This research paper compares the benefits of bioreactor landfill operation techniques over the conventional landfill techniques with the need for the research for the promising technology in India. Key words: Landfill, leachate, waste stabilization
Organization management strategy for Generation Y performance sustainability
No full textAbstractThis paper examines an under explored and integrated organization management strategy issue for the enhancement of the organizational performance. Considering two critical domains namely Human Resource and Organizational Development as theorised by this study is motivated by extend of the influence of those domains on the Generation Y staff of a GLC company in Malaysia. The simple random sampling of a total of 550 questionnaires distributed, where the researcher was able to collect about 506 completed forms or 92% rate of return that was later analysed. The research findings suggested that training and development is most significant and dominant dimension of HR system. Whereas organizational culture is confirmed to be the significant dimension of organisational development. Based on the Re-Specified model of organization management, results also showed that Human Resource system has a direct significant effect on employees’ performance as compared to Organizational Development. It is found a non-significant influence of model on the performance of employees, which is driven to review the organization management strategy by the managers, executives and professionals. The research contributes with the sustainable enhancement of organizational performance model while driving for purpose driven work, rewards, work-life flexibility, among the generation Y workforce
An experimental study on effect of aluminum composite panel waste on performance of cement concrete
No full text
Definition and integration of new insights for improving disease surveillance systems
No full textAn escalation in infectious diseases has led to a significant increase in health threats reported across diverse online sources. Event-based surveillance (EBS) systems detect health threats or events by utilizing automated approaches to assist stakeholders in taking timely preventive measures. There is significant room for improvement across various aspects of the event to enhance the effectiveness of EBS. In this thesis, we improve several aspects of the event to provide more precise information by ensuring prior data quality assessment, geographical accuracy enhancement, and post-situational awareness. This work is supported by the MOOD project, which aims to enhance the utility of EBS.To effectively monitor infectious diseases reported from online sources, it is imperative to implement data quality assessment measures in order to obtain trustworthy and reliable information. In our work to improve data quality, we introduce a data-driven approach to classify news articles as relevant or irrelevant by enriching the epidemiological context. We also explore metadata features of online news by applying a machine learning approach to identify important metadata features. Moreover, we also explore enhancing news source quality attributes, proposing the identification of source specialization and geographical coverage identification for improved classification performance.To extract event information, the geographical accuracy of events plays a pivotal role in epidemiology allows precise tracking, containment thereby significantly impacting public health outcomes. Secondly, in our work to improve geographical accuracy, we propose a rule-based Named Entity Recognition (NER) approach to extract spatial relations related to locations mentioned in text data, evaluated using a diverse news article dataset covering various diseases. Additionally, we present an algorithm to compute geographical coordinates in the form of polygons for identified spatial relation locations, with qualitative assessments involving end-users to ensure their quality and utility.Extracting situational awareness from social media e.g. geotagged tweets of geographically accurate event region are offering real-time insights to gauge severity of event. Finally, for situational awareness, we performed sentiment analysis using Hierarchy-based measures for tweet analysis (H-TFIDF) to understand local sentiments during the COVID-19 epidemic, evaluated with early COVID-19-related tweets from the E.Chen dataset categorized into spatial groups. Furthermore, various features including Bidirectional Encoder Representations from Transformers (BERT), H-TFIDF, term frequency-inverse document frequency (TF-IDF), and bag-of-words (BOW), were employed in spatial opinion mining to assess their significance in sentiment classification.Une recrudescence des maladies infectieuses a conduit à une augmentation significative des menaces sanitaires signalées à partir de diverses sources en ligne. Les systèmes de surveillance basés sur les événements (EBS) détectent les menaces sanitaires ou les événements en utilisant des approches automatisées pour aider les parties prenantes à prendre des mesures préventives en temps opportun. Il existe un important potentiel d'amélioration dans l’extraction d'événement pour renforcer l'efficacité des EBS. Dans cette thèse, nous proposons d’améliorer l’extraction automatique de données pour les événements et fournir des informations plus précises. Et tout particulièrement, nous nous intéressons à la qualité des données, l’amélioration de la précision géographique et l’analyse de sentiment. Ce travail est soutenu par le projet MOOD qui vise à améliorer la surveillance en épidémiologie des systèmes de type EBS.Pour surveiller efficacement les maladies infectieuses à partir de sources de données en ligne, il est impératif de mettre en œuvre des mesures d'évaluation de la qualité des données afin d'obtenir des informations fiables et dignes de confiance. Dans notre travail visant à améliorer la qualité des données, nous introduisons une approche basée sur les données pour classer les articles de presse comme pertinents ou non pertinents en enrichissant le contexte épidémiologique. Nous explorons également les caractéristiques des métadonnées des actualités en appliquant une approche d'apprentissage automatique pour identifier les métadonnées importantes. De plus, nous explorons également l'amélioration des attributs de qualité de la source d'actualités en proposant l'identification de la spécialisation de la source et l'identification de la couverture géographique.Pour extraire des informations sur les événements l'exactitude géographique joue un rôle essentiel en épidémiologie. Nous proposons une approche de reconnaissance d'entités nommées (NER) basée sur des règles pour extraire les relations spatiales liées aux emplacements mentionnés dans les données textuelles, qui est évaluée à l'aide d'un ensemble d'articles de presse couvrant diverses maladies. De plus, nous présentons un algorithme pour calculer les coordonnées géographiques sous forme de polygones pour les emplacements de relations spatiales identifiées, avec des évaluations qualitatives impliquant les utilisateurs finaux.Extraire des sentiments des médias sociaux, par exemple des tweets géolocalisés offre des aperçus en temps réel pour évaluer la gravité d'un événement. Nous avons effectué une analyse de sentiment en utilisant des mesures basées sur la hiérarchie spatiale pour l'analyse des tweets (H-TFIDF) afin de comprendre les sentiments locaux pendant l'épidémie de COVID-19. Cette analyse a été évaluée sur un jeu de données liés au COVID-19 catégorisé en groupes spatiaux. De plus, diverses fonctionnalités, y compris celles basées sur le modèle de langue Bidirectional Encoder Representations from Transformers (BERT), H-TFIDF, la fréquence des termes-inverse de la fréquence du document (TF-IDF) et le sac de mots (BOW), ont été évaluées pour mesurer leur importance dans la classification des sentiments
Progressive Collapse of Hyperbolic Cooling Tower Considering the Support Inclinations
No full textProgressive collapse of the layered hyperbolic tower shells are studied considering the influences of changes in the supporting columns’ types and angles. 3-D time history analyses employing the finite element method are performed for the towers supported with I-type and ᴧ-type column. It is found that the inclination angle of the supporting columns is a very important parameter in optimization and safe design of the cooling towers against the progressive collapse. It is also concluded that use of Demand Capacity Ratio (DCR) criteria of the linear elastic approach recommended by GSA is un-conservative for the hyperbolic tower shells
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