Browsing by Author "Tsegaye, Gashaw"

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    Design of Local Web Content Observatory System
    (Addis Ababa University, 2015-03) Tsegaye, Gashaw; Atnafu, Solomon (PhD.)
    The amount of information on the Web as well as the number of Internet users on the Web is growing rapidly. The Web contents are becoming more multilingual and on diverse subjects. Considering a particular group or country, it is very difficult to know how much Web contents are published and which are in what language and on what specific subject. Knowing the status of local Web content of a country or a culture is of critical importance for making an informal decision on policy and strategy design for the development of the multi-lingual and multi-cultural Web. This research work is therefore aimed to design a local Web content observatory system that measures and reports periodically the qualitative and quantitative content of different domains. The local Web content observatory system mainly consists of four components – the crawler, content extractor, statistical tracker, language identifier, Web document categorizer and report generator. The crawler downloads documents and then the language identifier detects the language of each crawled Web document and inserts detected language into a database. The statistical tracker monitors the crawler and records statistical data. The Web document categorizer categorizes the collected documents into the selected type of subject. The report generator provides statistical information about the detected language and distribution of Web document per language across the selected sets of domains. To test and evaluate the system, we have selected all domains hosted under the .et domain. Accordingly about two thousand seed URLs under the .et domain are used and the crawler collected around 263,031 Web documents. According to the accuracy rate measures employed to the language identifier, accuracy rate of 98.67% obtained. To demonstrate the effectiveness of the local Web content categorizer precision, recall and F-measures test were conducted and average precision of 91.7%, recall of 97.2% and F-measures of 94.25% obtained for English document and precision of 91.7%, recall of 87.85% and F-measures of 86.65% obtained for Amharic document. The average accuracy rate of the statistical tracker is 98.72%. Key words: Information Retrieval, Crawler, Language Identification, Web Document Categorization, Local Web content Observatory System
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    Design of Local Web Content Observatory System
    (Addis Ababa University, 2015-03) Tsegaye, Gashaw; Atnafu, Solomon (PhD.)
    The amount of information on the Web as well as the number of Internet users on the Web is growing rapidly. The Web contents are becoming more multilingual and on diverse subjects. Considering a particular group or country, it is very difficult to know how much Web contents are published and which are in what language and on what specific subject. Knowing the status of local Web content of a country or a culture is of critical importance for making an informal decision on policy and strategy design for the development of the multi-lingual and multi-cultural Web. This research work is therefore aimed to design a local Web content observatory system that measures and reports periodically the qualitative and quantitative content of different domains. The local Web content observatory system mainly consists of four components – the crawler, content extractor, statistical tracker, language identifier, Web document categorizer and report generator. The crawler downloads documents and then the language identifier detects the language of each crawled Web document and inserts detected language into a database. The statistical tracker monitors the crawler and records statistical data. The Web document categorizer categorizes the collected documents into the selected type of subject. The report generator provides statistical information about the detected language and distribution of Web document per language across the selected sets of domains. To test and evaluate the system, we have selected all domains hosted under the .et domain. Accordingly about two thousand seed URLs under the .et domain are used and the crawler collected around 263,031 Web documents. According to the accuracy rate measures employed to the language identifier, accuracy rate of 98.67% obtained. To demonstrate the effectiveness of the local Web content categorizer precision, recall and F-measures test were conducted and average precision of 91.7%, recall of 97.2% and F-measures of 94.25% obtained for English document and precision of 91.7%, recall of 87.85% and F-measures of 86.65% obtained for Amharic document. The average accuracy rate of the statistical tracker is 98.72%. Key words: Information Retrieval, Crawler, Language Identification, Web Document Categorization, Local Web content Observatory System
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    Evaluating the Performance of Signalized Intersection and the Associated Economic Impact of Congestion: (A Case Study on Ras Mekonnen Street of Addis Ababa, Ethiopia)
    (Addis Ababa University, 2018-06) Tsegaye, Gashaw; Bikila, Teklu (PhD)
    Now days, traffic congestion is becoming a serious issue in developing countries in general and in Addis Ababa in particular. Its major impact on the day-to-day activities of road users is not limited to delay in travel time but also it affects the consumption of fuel and the surrounding environment in terms of greenhouse gas emissions. In Addis Ababa, the issue is becoming a great concern to its residents, transport managers and planners. In light of the interest in testing the performance and optimization of Signalized Intersection timing plan on major route corridor of Addis Ababa, this study was designed and conducted on Ras Mekonnen Street between the Addis Ababa School of Commerce and Estifanos, as it is the most signalized route corridor in the city and serves the city’s major traffic population. Based on Highway Capacity Manual (HCM), the current performances of signal operation on the route corridor were assessed along with the cost of congestion results from Travel Time Lost, Extra Fuel Consumption and Environmental Pollution costs. In addition, using Synchro 9 Simulation Software, the Intersection signal timing plan was optimized with respect to network cycle length, offset and splits. The result of performance evaluation indicated that all the Signalized Intersections under this study serve the traffic demand with poor level of service (LOS F) resulting in costs to the Country amounted to ETB:1,191,442.76 per hour due to extra fuel consumption and travel time loss and also affected by pollutions with emission rate of 31,668.64 g/h of NOx; 206,796.22 g/h of HC; 2,874,467.45 g/h of CO; 3,736,807.68 g/h of PM2.5 and 134,375,604.21 g/h of CO2 attributed by the on roads traffic on the study segment. The simulation analysis for optimization shows that service quality at intersections can be improved by changing the current operating cycle length of 188sec to 270sec for Estifanos Intersection and 230sec for all other Intersections in the network, together with phase sequences and splits. As a result, more than 550 vehicles will be relieved from stopping at intersections and also extra 654 litters of fuel consumed by the vehicles per hour will also be saved owing to improvement of signal timing.