Monitoring geometrical properties of word embeddings for detecting the emergence of new topics.

Slow emerging topic detection is a task between event detection, where we aggregate behaviors of different words on short period of time, and language evolution, where we monitor their long term evolution. In this work, we tackle the problem of early detection of slowly emerging new topics. To this end, we gather evidence of weak signals at the word level. We propose to monitor the behavior of words representation in an embedding space and use one of its geometrical properties to characterize the emergence of topics. As evaluation is typically hard for this kind of task, we present a framework for quantitative evaluation and show positive results that outperform state-of-the-art methods. Our method is evaluated on two public datasets of press and scientific articles.

Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models

The paper describes a system for automatic summarization in English language of online news data that come from different non-English languages. The system is designed to be used in production environment for media monitoring. Automatic summarization can be very helpful in this domain when applied as a helper tool for journalists so that they can review just the important information from the news channels. However, like every software solution, the automatic summarization needs performance monitoring and assured safe environment for the clients. In media monitoring environment the most problematic features to be addressed are: the copyright issues, the factual consistency, the style of the text and the ethical norms in journalism. Thus, the main contribution of our present work is that the above mentioned characteristics are successfully monitored in neural automatic summarization models and improved with the help of validation, fact-preserving and fact-checking procedures.

GEPSA, a tool for monitoring social challenges in digital press

This papers presents a platform for monitoring press narratives with respect to several social challenges, including gender equality, migrations and minority languages. As narratives are encoded in natural language, we have to use natural processing techniques to automate their analysis. Thus, crawled news are processed by means of several NLP modules, including named entity recognition, keyword extraction,document classification for social challenge detection, and sentiment analysis. A Flask powered interface provides data visualization for a user-based analysis of the data. This paper presents the architecture of the system and describes in detail its different components. Evaluation is provided for the modules related to extraction and classification of information regarding social challenges.

The Role of Human Capital on activating the exploratory and monitoring capacities in the Syrian private banks

This search aim to shed light on the role of Human Capital as a component of intellectual capital in activating the exploratory and monitoring capacities as competitive dynamic capacities in the Syrian private banks and to achieve the objectives of the research.

The Role of NGOs in Protecting the Environment

this paper highlights the role NGOs played in developing these treaties and conferences, setting an example on how to protect the environment and stop its deterioration on both national and international levels and find solutions to the problems and limit them.

Networks Management using the Ubuntu Server system

أتت فكرة المشروع من الأهمية المتزايدة للنظم المفتوحة المصدر في أيامنا هذه لاسيما الإمكانات الواسعة التي تتيحها هذه النظم في مجال إدارة الشبكات, حيث يهدف مشروعنا إلى إظهار مزايا نظام Ubuntu وذلك من خلال عرض وإعداد مجموعة من الخدمات التي يقدها في مجال إدارة الشبكات, وبالتالي إظهار الفائدة العلمية والعملية منها, حيث نرى الجانب العلمي من خلال شرح ماتقوم به كل خدمة وماهي البروتوكولات والآليات التي تبنى عليها الخدمة, والتي أيضاً تظهر بشكل واضح من خلال الجانب العملي لكل خدمة لمافيه من عرض شامل للفائدة التي يمكن الحصول عليها.

Study of The Effects Caused by Active Suspension System on Indirect Tire Pressure Monitoring Systems Performance

In this work ,we try to predict the disadvantages will be caused by active suspension system on indirect tire pressure monitoring systems (TPMS) which rely on analysis either rotational speed signals of wheels or vehicle body vibration signals. Active suspension systems that aim to increase passengers comfort apply some additional vertical loads on vehicle's wheels which may cause difference in its rotational speed due to the resulting load difference. also it may change the vibration level of the vehicle during driving so the usage of vibration signals for monitoring tire pressure could be difficult or impossible . in both cases the performance of TPMS may be changed. This study showed that TPMS which rely on rotational speed signals will still able to work and the effects of active suspension system will confine on the quality of the resulting warnings while the TPMS which depend on vibration analysis will conk if the analyzed vibration data was the vertical acceleration signals of wheels .

Using The Normalized Difference Vegetation Index (NDVI) in Drought Assessing in The Eastern North Region in Syria

Climate change is the major global challenge facing water resources managers because of its impacts on many life fields beginning with agriculture activities to economic - social regions. In this study, drought in the eastern north of Syria have been investigated (Hasake, Rakka, DerAzzor, Bokmal, Kameshli) using a set of data containing precipitation data for period from 2000 to 2010, and MODIS time series images for the same period. This study assure that 2008/2009 described as drought period in the study area, and the NDVI maps ,which we have, give us an idea about the vegetation status and patterns in the study area. The study clearly show that NDVI and rainfall was found to be highly correlated in Rakka with P- Value= 0.003; and medium correlated in the other stations with P- Value > 0.05. Results of this study verify needing to use this index (NDVI), along with precipitation data, in drought monitoring in the eastern north region of Syria. So that,. It would help managers in making decisions to face drought in this area.

Dispersion compensation of optical fiber using monitoring technique based on clock signal

The chromatic dispersion of fiber is a major factor causing distortion of the light signals, and if not being addressed using accurate compensators it will lead to a significant deterioration in the performance of optical system. The value of chromatic dispersion is not fixed along the fiber, and this necessitates the use of tunable dispersion compensators which need information about the value of dispersion which is done by dispersion monitoring. This research is Interested in analyzing chromatic dispersion technique based on the measuring of clock tone power of transmitted data and which is commensurate with the dispersion of the fiber. We found the relationship between signal frequency with range and accuracy of measurement. Also, the advantage of this technique to provide feedback signal to tunable dispersion compensator. The results show the extent of the improvement made in network performance. VPItransmissionmaker program was used to simulate the technique proposed.

Using of network for the monitoring of some of organic pollutants in the Syrian marine environment

In This study it has been uses a network for monitoring the pollution with organochlorine pesticides in There marine stations at Lattakia coast: Fishing port, AfamiaCoast, High Institute Of Marine Research Coastusing Cages contained species of musselswitch are filter feeders Brachidontes varibilis. Samples had been collected from Lattakia coast. The results showed a great efficiency of the made network for monitoring the organic pollution in marine environment. It has been recorded a concentration of DDTs is accumulated lower than 2ng/g , Endosulfane and HCB is lower than 1 ng/g too. The results showed that the HCH compounds is dominant in all stations.organochlorine pesticides is accumulated mostly in the biota of station Fishing port, Afamia Coast