http://localhost:80/xmlui/handle/123456789/12869 2026-04-04T02:32:43Z 2026-04-04T02:32:43Z Kumar, D Soomro, S.A Mahar, H.U Aziz, S Unar, I.N Memon, A.R Malik, A.A Hussain, S http://localhost:80/xmlui/handle/123456789/13742 2022-10-26T10:02:27Z 2017-06-15T00:00:00Z

Title: Co-firing of Brown Coal &Bagasse for Sulfur Reduction Authors: Kumar, D; Soomro, S.A; Mahar, H.U; Aziz, S; Unar, I.N; Memon, A.R; Malik, A.A; Hussain, S Abstract: Biomassresources such as bagasse, sawdust, rice husk, wheat husk, coconut etc play the vital role in reducing the concentration of SOx and NOx gases when used in co-combustion mode. This study focused on characterization and emission analysis of coal and coal-biomass blends. The blends of brown coal with bagasse in weight proportion10%(CBg-1), 20%(CBg2), 30%(CBg-3)respectively were characterized by thermal techniques. Proximate and ultimate analysis of coal, bagasse and coal-bagasse blends was carried out. The study reveals that CBg-1 releases 4.18%, CBg-2 emits 3.65% and CBg-3 contained 2.87% of elemental sulfur. Muffle furnace flue gases analysis depicted that coal-bagasse blends samples CBg-1 releases CO NO 2 , 2, NO and SO 16.573%, 0.01435%, 0.008237%, 2 0.4384% respectively. It was concluded that sulfur contents were reduced by addition of biomass, SO and 2 x NO emissions were reduced, whereas CO emissions 2 were increased. Reduction inSO , NO and x x enhancement in CO showed efficient and 2 environmental friendly combustion

2017-06-15T00:00:00Z Majeed, M.N Zafrullah, M Azam, M.A http://localhost:80/xmlui/handle/123456789/13741 2022-10-26T10:01:55Z 2017-06-14T00:00:00Z

Title: A Location Based Delay and Packet Loss Optimized Communication Mechanism involving Handoffs in Vehicular Ad Hoc Network Authors: Majeed, M.N; Zafrullah, M; Azam, M.A Abstract: Vehicular ad-hoc network faces many challenges, in particular frequent handoffs due to high mobility of vehicles is a serious performance limitation factor and is probably the most critical process in terms of packet loss and delay. In this paper an efficient mechanism of Vehicular Ad-hoc Networks (VANETs) is proposed for making handoff decision that considers both Received Signal Strength (RSS) and Global Positioning System (GPS) information along with maps. Furthermore; the proposed mechanism focuses on nodes moving at high speeds while receiving and saving the relevant information in buffers. This particular approach not only minimizes delay and packet loss but is also used to retransmit the lost packets locally. The addition of this capability in the proposed mechanism contributes in improving the packet loss in less crowded areas having limited available connectivity.

2017-06-14T00:00:00Z Junaid, S.M Jaffry, S.W Yousaf, M.M Aslam, L Sarwar, S http://localhost:80/xmlui/handle/123456789/13740 2022-10-26T10:01:40Z 2017-05-13T00:00:00Z

Title: Sentiment Analysis and Opinion Mining - A Facebook Posts and Comments Analyzer Authors: Junaid, S.M; Jaffry, S.W; Yousaf, M.M; Aslam, L; Sarwar, S Abstract: Since last few years, the trend of social networking is at its peak. People post their personal feelings and thinking about any topic or product for social liking or for marketing. Such posts often get hundreds or thousands of comments and it becomes difficult for a reader to read all of these to assess public opinion. Sometimes one just wants to know common opinion, behavior, trend or thinking discussed there or to determine whether those opinions are positive or negative. Particularly in case of product marketing, the company would like to judge the success of an ad campaign or new product launch or which products or services are popular and what people like or dislike about particular features of a product. In such situations automatic sentiment analysis and opinion mining can help a lot. Hence, in this paper a novel sentiment analysis and opinion mining framework is proposed. This framework utilizes various techniques of computational linguistics to measure sentiment orientation of user's opinion around different entities. The proposed framework is used to perform sentiment analysis and opinion mining of users' posts and comments on social media through a Facebook App. Furthermore a user study is conducted to gauge performance of the proposed framework. The results of this study have shown that the framework is capable of finding opinions of the users and sentiments around those opinions with more than 85 percent accuracy when compared with actual human judges.

2017-05-13T00:00:00Z Iqbal, J Farid, S Qadir, M Khan, M http://localhost:80/xmlui/handle/123456789/13739 2022-10-26T10:01:30Z 2017-05-12T00:00:00Z

Title: Significant Risks of Outsourced IT Projects Authors: Iqbal, J; Farid, S; Qadir, M; Khan, M Abstract: The volume of IT outsourcing is continuously growing due to benefits of outsourcing and various constraints of the organizations. However, there are certain risks linked with IT outsourcing. Manifestation of such risks adversely affects the successful completion of outsourced projects and may cause project failure. This study's objective is to explore and rank the significant risks for IT outsourcing. A literature-based list of IT outsourcing risks has been employed for this purpose. Two questionnaire surveys have been conducted to perform Delphi method. After the first round, significant risks for IT outsourcing have been identified. The significant risks have been ranked during the second round. The study also highlights top 10 risks for IT outsourcing. Keeping in view identified and ranked IT outsourcing risks, designing a proactive strategy can address the risks and hence anticipated benefits of IT outsourcing can be achieved

2017-05-12T00:00:00Z