Browsing by Author "Worku, Mesfin"

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    Amharic Document Image Retrieval without Explicit Recognition
    (Addis Ababa University, 2009-06) Worku, Mesfin; Meshesha, Million (PhD)
    Retrieval of the stored information is a key issue. Especially image retrieval needs an emphasis, because the nature of the data is complex and difficult to retrieve. There are many problems to be studied in the area of image retrieval. From these, Document Image Retrieval is one of the issues that have to be given attention. Document retrieval can use either a textual-based retrieval system or an image-based retrieval system. Document image retrieval system can also be done in two ways: recognition-based document image retrieval or document image retrieval without explicit recognition. Currently, little has been done on the Amharic document retrieval systems. The Amharic text retrieval systems which are covered by the researchers considered limited Amharic documents that are available only in hardcopy format. The proposed system incorporates document images and user queries. The document image is preprocessed, segmented at word level and the feature of each word is extracted. Then the textual query is rendered to convert into an image query, preprocessed, segmented and the feature is extracted. The technique used for feature extraction considers the word shape analysis. The extracted feature of the image query is matched with the feature of the document images, at word level using Euclidean and cosine similarity measures. Finally relevant document images are retrieved in ranked order in response to the given query. To verify the validity of the approach proposed, experiment is carried out on 121 scanned Amharic documents that are selected from printed legal documents and news items. The data retrieval effectiveness is measured using retrieval measures such as precision, recall and F-Score. The experimental results confirmed the validity of the model for retrieving relevant document images from the collection of scanned document images.
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    Amharic Document Image Retrieval Without Explicit Recognition
    (Addis Ababa University, 2009-06) Worku, Mesfin; Meshesha, Million (PhD); Inkpen, Diana (PhD)
    Retrieval of the stored information is a key issue. Especially image retrieval needs an emphasis , because the nature of the data is complex and difficult to retrieve . There are many problems to be studied in the area of image retrieval. From these , Document Image Retrieval is one of the issues that have to be given attention Document retrieval can use either a textual-based retrieval system or animate based retrieval system. Document image retrieval system can also be done in two ways: recognition-based document image retrieval or document image retrieval without explicit recognition Currently , little has been done on the Amharic document retrieval systems . The Amharic text retrieval systems which are covered by the researchers considered limited Amharic documents that are available only in hardcopy format The proposed system incorporates document images and user queries . The document image is preprocessed , segmented at word le vela and the feature of each word is extracted . Then the textual query is rendered to convert into an image query, preprocessed , segmented and the feature is extracted . The technique used for feature extraction considers the word shape analysis . The extracted feature of the image query is matched with the feature of the document images , at word level using Euclidean and cosine similarity measures . Finally relevant document images are retrieved in ranked order in response to the given query. To verify the validity of the approach proposed , experiment is carried out on 121 scanned Amharic documents that are selected from printed legal documents and news items. The data retrieval effectiveness is measured using retrieval measures such as precision , recall and F-Score . The experimental results confirmed the validity of the model for retrieving relevant document images from the collection of scanned document images.
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    Exploring Factors Affecting Knowledge Transfer Process in Information System Outsourcing at Ethio Telecom
    (Addis Ababa University, 2017-06-09) Worku, Mesfin; Beshah, Dr. Tibebe
    Inter-organizational knowledge transfer is of central interest both as an academic topic and in business practice. However, despite the attention given to the importance of this subject from different perspectives in various contexts, little is known about how knowledge is transferred from vendors to clients in information systems outsourcing. This research attempts to address this shortage by providing an analysis of the key factors which facilitate or inhibit knowledge transfer success in IS outsourcing at Ethio telecom. This study employed a qualitative, single case study approach. Data was collected from Ethio telecom’s IS Division. Through semi-structured interviews, this study explored the perspectives of the internal IS staff on their experience of knowledge transfer and learning from vendors through various IS outsourcing projects. Written and electronic documentations as well as participant observations also served as important triangulation and complementary sources in understanding the phenomenon being studied and as a means of gaining additional perspectives and further insights on key issues. The empirical evidence demonstrated that there are four sets of factors which facilitate or inhibit knowledge transfer success in IS outsourcing. These are: knowledge (knowledge tacitness and knowledge complexity), client (learning intent, absorptive capacity and motivation), vendor (vendor capability, vendor credibility and vendor openness), relationship (relationship quality, relationship duration, relationship governance and organizational distance). Ethio telecom’s IS Division staff intention to learn and absorptive capacity are more important factors in transferring knowledge within short period of time from vendors’ employees and made them less dependent on vendors. The study also revealed that, Ethio telecom IS division currently uses two main types of processes for knowledge transfer, namely structured and unstructured. Transferring of tacit knowledge highly dependent on unstructured process.
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    Exploring Factors Affecting Knowledge Transfer Process in Information System Outsourcing at Ethio Telecom
    (Addis Ababa University, 2017-06-07) Worku, Mesfin
    organizational knowledge transfer is of central interest both as an academic topic and in business practice. However, despite the attention given to the importance of this subject from different perspectives in various contexts, little is known about how knowledge is transferred from vendors to clients in information systems outsourcing. This research attempts to address this shortage by providing an analysis of the key factors which facilitate or inhibit knowledge transfer success in IS outsourcing at Ethio telecom. This study employed a qualitative, single case study approach. Data was collected from Ethio telecom’s IS Division. Through semi-structured interviews, this study explored the perspectives of the internal IS staff on their experience of knowledge transfer and learning from vendors through various IS outsourcing projects. Written and electronic documentations as well as participant observations also served as important triangulation and complementary sources in understanding the phenomenon being studied and as a means of gaining additional perspectives and further insights on key issues. The empirical evidence demonstrated that there are four sets of factors which facilitate or inhibit knowledge transfer success in IS outsourcing. These are: knowledge (knowledge tacitness and knowledge complexity), client (learning intent, absorptive capacity and motivation), vendor (vendor capability, vendor credibility and vendor openness), relationship (relationship quality, relationship duration, relationship governance and organizational distance). Ethio telecom’s IS Division staff intention to learn and absorptive capacity are more important factors in transferring knowledge within short period of time from vendors’ employees and made them less dependent on vendors. The study also revealed that, Ethio telecom IS division currently uses two main types of processes for knowledge transfer, namely structured and unstructured. Transferring of tacit knowledge highly dependent on unstructured process.