Browsing by Author "Berhanu, Solomon"

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    The Impact of Project Cost Management on the Overall Success of Project Management: The Case of HEINEKEN Brewery Share Company
    (Addis Ababa University, 2017-06-03) Berhanu, Solomon; Workineh, Mesfin (PhD)
    Project is a series of activities aimed at bringing about clearly specified objectives within a defined time and with a defined budget. To say one project is successful, the project must done as per agreed quality, completed with approved time and most importantly completed with approved budget (cost). Furthermore, Project Cost (Budget) Management is one of the three main points that affects the project success or failure. The successful project manager needs to give his attention to managing project cost. Because it is not possible to be successful for a project manager without managing the project cost properly. Therefor the main objective of this project work is evaluate the Impact of Project Cost Management on the Overall Success of Project Management: in the Case of HEINEKEN Brewery Share Company Kilinto Phase 2 Project. The researcher employed a quantitative approach to investigate the problem under study. The data were collected from project personnel’s in HEINEKEN Brewery Share Company Kilinto Phase 2 Project. The collected data analyzed by using IBM SPSS statistics 20. The results indicate that, the project cost management components implemented in HEINEKEN Brewery Share Company Kilinto Phase 2 Project include resource-planning, Cost estimating, cost budgeting and cost control SCM practices. And the regression analysis reviled that project cost management has an impact on the overall success of the project management in HEINEKEN Brewery Share Company Kilinto Phase 2 Project, since all of those components of project cost management has significant association with the dependent variable overall success of the project
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    Sub-Word Based Amharic Word Wecognition : an Experiment using Hidden Markov Model (HMM)
    (Addis Ababa University, 2002-06) Tadesse, Kinfe; Berhanu, Solomon
    In this study, the potential of Hidden Markov Model (HMM) for the development of Amharic speech recognition system has been investigated and in the course of building the recognizers the popular toolkit Hidden Markov Model Toolkit (HTK) was used. In the process of building the recognizers, the speech data is recorded at a sampling rate of 16KHz and the recorded speech is then converted into Mel Frequency Cepstral Coefficient (MFCC) vectors for further analysis and processing. Since large vocabulary systems are envisaged, sub-word modeling is pursued. Sub-word modeling refers to a technique whereby one HMM is constructed for each sub-word unit (phoneme, triphone, syllable, etc.). Phonemes, tied-state triphones and CV-syllables have been considered as the basic sub-word units and are used to build phoneme-based, tiedstate triphone based and CV-syllable based recognizers respectively. In this study, an extensible 170 word vocabulary is constructed and both speakerdependent and speaker-independent models are built for 15 speakers (8 male and 7 female) in the age range of 20 to 30 using phonemes and tied-state triphones as the basic units of recognition. Five untrained speakers who had no involvement in training the models are also used to test the speaker-independent models. The results obtained are promising and have shown the potential of tied-state triphones as good sub-word units for Amharic. In fact, phonemes also have produced encouraging recognition performance. Even though CV-syllables appear to be more convenient for Amharic, this research has not proved that and is recommended for further research.