Sukkur Institute of Business Administration

iba-suk.edu.pk
Sita Road, Pakistan

The Sukkur Institute of Business Administration is a business school in Sukkur, Pakistan. The school is a public sector degree-awarding institute chartered by the Government of Sindh and recognized by the Higher Education Commission. Wikipedia.

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Katyara S.,Sukkur Institute of Business Administration | Staszewski L.,AGH University of Science and Technology | Musavi H.A.,Indus University | Soomro F.,Usman Institute of Technology
International Journal of Mechanical Engineering and Robotics Research | Year: 2017

With the emerging issues about the ecological pollution and potential energy deficiency, many efforts are taken to initiate the renewable energy plans, established primarily with wind energy, solar panels and low capacity water power plants etc. These forms of power production are called Distributed Generation (DG), as they are installed near the load centers. Power utilities all over the world are welcoming DGs to increase their generation capacity. With the aim to cut electricity bills, DGs are brought into power networks in order to meet the increased load demands especially during peak hours. It is expected that in the future, more and more DGs will be taken into system. Therefore, with the increased number of DGs, the fault level issue becomes more complex. The interconnection of DG introduces somehow protection problems such as islanding, relay settings and increase of short circuit capacity. In this research, the influence of DG interconnection over the short circuit capacity in the radial distribution network was analyzed and the effective protection scheme for distribution network was proposed then. The effective method for setting the optimal Coordination Time Intervals (CTI) between the transformer and the feeder relays in real distribution systems was also discussed. A protection scheme based on over-current techniques was proposed for synchronous DGs, connected to utility feeder operating in grid-coupled mode, in order to make the most of DG benefits to customers. The proposed solutions were verified with MATLAB software simulations. © 2017 Int. J. Mech. Eng. Rob. Res.


Siddiqi S.,Sukkur Institute of Business Administration | Memon Z.A.,National University of Computer and Emerging Sciences
Proceedings - 14th International Conference on Frontiers of Information Technology, FIT 2016 | Year: 2017

Internet addiction also called as 'internet dependency' is a disorder related to excessive or poorly controlled preoccupations regarding computer use and internet access. Although the advantages of internet are undeniable, however, from the pathological perspective its excessive usage is creating disturbances not only in family and relationships but also in health, academics and memory recall in users. Nowadays, the adults between the ages of 18-29 are considered as the most preoccupied population with internet. To explore the relationship among internet addiction with time management, and its impact on students' academic performance, this article presents the results of the study that was conducted with the students of Sukkur IBA. The article aims to analyze the relationship among internet addiction and time management. It also analyses the impact of time management on students' academic performance when considering internet addiction as a covariant. At the end, the article analyze the gender differences among level of internet addiction, time management and academic performance. Chi square independency test, t test and one way ANOVA tests were performed to analyses the data. The results seems to prove that internet addiction and time management are depend and variance in one can cause variance in other. The results also reveal that students' ability of time management has a significant impact on their academic performance. Lastly, the results provide evidences that students' gender has no impact on overall study. © 2016 IEEE.


Sodhro A.H.,Sukkur Institute of Business Administration | Shah M.A.,Sukkur Institute of Business Administration
ICIEECT 2017 - International Conference on Innovations in Electrical Engineering and Computational Technologies 2017, Proceedings | Year: 2017

In this paper, Channel State Estimation is designed based on Transmission Power Control (CSE-TPC) algorithm for QoE (Quality of Experience) optimization in terms of modulation level and duty cycle. CSE-TPC enables the transceiver to adjust the transmission power level and target the received signal strength indicator (RSSI) threshold for satisfying the requirement of energy saving over 5G networks for medical health applications such as, Wireless Body Area Networks (WBANs). A log-normal shadowing channel model is considered to minimize energy consumption in WBANs. Through simulation results in MATLAB it has been observed that energy consumption can be minimized in medical applications. © 2017 IEEE.


Memon Z.A.,VU University Amsterdam | Memon Z.A.,Sukkur Institute of Business Administration | Treur J.,VU University Amsterdam
Cognitive Neurodynamics | Year: 2010

An agent's beliefs usually depend on informational or cognitive factors such as observation or received communication or reasoning, but also affective factors may play a role. In this paper, by adopting neurological theories on the role of emotions and feelings, an agent model is introduced incorporating the interaction between cognitive and affective factors in believing. The model describes how the strength of a belief may not only depend on information obtained, but also on the emotional responses on the belief. For feeling emotions a recursive body loop between preparations for emotional responses and feelings is assumed. The model introduces a second feedback loop for the interaction between feeling and belief. The strength of a belief and of the feeling both result from the converging dynamic pattern modelled by the combination of the two loops. For some specific cases it is described, for example, how for certain personal characteristics an optimistic world view is generated in the agent's beliefs, or, for other characteristics, a pessimistic world view. Moreover, the paper shows how such affective effects on beliefs can emerge and become stronger over time due to experiences obtained. It is shown how based on Hebbian learning a connection from feeling to belief can develop. As these connections affect the strenghts of future beliefs, in this way an effect of judgment 'by experience built up in the past' or 'by gut feeling' can be obtained. Some example simulation results and a mathematical analysis of the equilibria are presented. © 2010 The Author(s).


Ahmed J.,Sukkur Institute of Business Administration | Klette R.,Auckland University of Technology
Proceedings - International Conference on Pattern Recognition | Year: 2017

In this article a new strategy for single-image super-resolution is proposed. A selective sparse coding strategy based on patch sharpness is assumed to be invariant for patch resolution. This sharpness criterion is used at training stage to classify image patches into different clusters. It is suggested that the use of coupled dictionary learning, with a mapping function can improve the representation quality. By this strategy clustered dictionaries are designed along with a mapping function for each cluster which can provide the coupling link between low-resolution and high-resolution image patches. During the reconstruction, image patch sharpness is used as a criterion for the selection of a clustered dictionary and the mapping function. The high-resolution patches are recovered by high-resolution cluster dictionary atoms and the mapping function with sparse representation coefficients from low resolution patches. The algorithm is tested over a set of benchmark images from different data sets. Peak-signal-to-noise ratio and structural-similarity-index measures indicate that the given algorithm is competitive in general with existing baseline algorithms. The proposed algorithm performs better for images with high-frequency components. © 2016 IEEE.


Jan I.,University of Agriculture, Peshawar | Akram W.,Sukkur Institute of Business Administration
Renewable and Sustainable Energy Reviews | Year: 2017

Biogas is a methane-rich gas that is produced by the anaerobic fermentation of organic material, such as animal dung. Pakistan has the sixth largest livestock-based economy in the world and thus demonstrates great potential for biogas production. The government has already started the Biogas Support Program (BSP) in a few selected areas of the country. With that in mind, this study was designed to determine a household's predicted willingness-to-adopt a biogas system in Khyber Pakhtunkhwa (KP) province. The study is based on primary data collected from four districts: Peshawar, Nowshera, Charsadda, and Mardan. Data was collected from 200 livestock farming households selected through an equal allocation technique. Probit analysis was used to identify those factors influencing the willingness of a household to adopt a biogas system. The results of the probit model reveal that the education level of the respondents, total daily electric shortfall, the effect of electric shortfall on childrens' education and female drudgery, and respondents' awareness regarding the pros and cons of using biogas were statistically significant factors. On the basis of p < 0.001 for the overall regression model, which means that the overall model was highly significant, it is concluded that the socio-economic characteristics of the population are the main factors contributing to the adoption of a biogas system in the area. The study recommends that increased public and private investments should be encouraged and the government's financial policies made in a pro-poor fashion for the large-scale promotion of biogas technology in Pakistan. © 2017 Elsevier Ltd.


Ahmed K.,Sukkur Institute of Business Administration
Energy | Year: 2017

The paper explores the energy-growth nexus by incorporating the key financial indicators in case of newly industrializing, BRICS countries. Considering the heterogeneity across the panel, the combined panel cointegration results confirm the long-run association between all the underlying variables. The overall findings suggest that despite sustainable development measures-financial indicators, economic growth and trade openness spur energy intensity in BRICS countries. The results also validate the Kuznets curve hypothesis between energy consumption and financial development and, energy consumption and trade openness. It implies that financial development and capital accumulation contribute to energy efficiency after the threshold income level. The causality analysis corroborate the regression results. In the end some policy recommendations are made. © 2017 Elsevier Ltd


Ahmed J.,Sukkur Institute of Business Administration | Shaikh Z.A.,National University of Computer and Emerging Sciences
Proceedings - International Conference on Computer Networks and Information Technology | Year: 2011

Most of the privacy research in online social networks has focused on protecting profile information of users from other users of online social networks. Another equally important research area is protection of users profile information from social applications. With the introduction of the Google's OpenSocial and Facebook's Developer Platform millions of third party developers are building thousands of social applications for existing massive user base. This fact poses serious privacy risk because current social networking platforms don't provide any mechanism to control disclosure of user's personal information to social applications and their developers. In this paper, we investigate two very popular social networking platform s, i.e. Facebook Developers Platform and OpenSocial. We demonstrate inherit flaws in these social networking platforms. We also point out limitations in existing solutions to the problem suggested by researcher community in the area. We recognise the need for extension of current APIs available for these social networking platforms so that extended version of APIs provide fine grain access control to the user of online social networks. © 2011 IEEE.


Ahmed K.,Sukkur Institute of Business Administration
Environmental Science and Pollution Research | Year: 2016

In the light of urban environmental transition (UET) theory, this study explores the relationship between carbon dioxide (CO2) emissions, economic growth, urbanization, and trade openness using updated Chinese data over the extended period (1971–2013). After confirming that all the underlying series are stationary and adjusted with single structural break point, the results of autoregressive distributed lag (ARDL) bounds test approach to cointegration confirm the cointegration between the variables. The long- and short-run dynamics reveal that urbanization reduces the CO2 emissions both in short and long runs, but statistically insignificant. These findings contrast with previous literature and sound the validation of urban environmental transition theory (UET). However, economic growth and trade openness contribute environmental degradation both in long- and short-run paths. The causality analysis reports bidirectional causal link between trade openness and urbanization in the short run. However, in the long-run, economic growth Granger causes carbon dioxide emissions, urbanization, and trade openness. Similarly, trade openness Granger causes carbon dioxide emissions, economic growth, and urbanization in the long run. The overall results imply that rural to urban immigration is still mostly driven by export-related manufacturing sectors. In addition, the higher GDP also contributes to urbanization as a feedback effect. In the end, stability of the model is also checked, model found stable, and findings are suitable for environmental policy control use. © 2016 Springer-Verlag Berlin Heidelberg


Ahmed K.,Sukkur Institute of Business Administration | Qazi A.Q.,Pakistan Institute of Development Economics
Management of Environmental Quality | Year: 2014

Purpose: The paper aims to fill the gap on energy and growth literature for Mongolia. The high growth rate over last decade has substantially increased the energy demand and as a result has increased the carbon-dioxide (CO2) emission. This observed emission trend has possible negative implications over environmental quality of the country. Therefore, this paper empirically examines the relationship between CO2 emission and four major explanatory variables (economic growth, energy consumption (EC) and trade openness) in Mongolia. Design/methodology/approach: This study uses environmental Kuznets curve (EKC) hypothesis and employs Johansen method of cointegration and granger causality test for empirical investigation. In the end, the stability of model is also checked. Findings: The results confirm the existence of EKC hypothesis among the variables both in long-run and short-run except trade openness, which surprisingly found insignificant. This means increased EC due to growth in economy is imparting environmental degradation but positive sign for trade in long-run shows that country is not adequately open to trade. The model found stable and unidirectional causality is detected from growth to carbon emission. Practical implications: In the light of empirical results, this paper provides basic policy structure in order to keep both growth and environmental quality intact. The findings further imply that drastic measures are to be taken for country's trade liberalization. In nutshell, this research extends pragmatic policy tools for environmental degradation and growth nexus to assist government in the nick of time. Originality/value: This study is first of its kind for country Mongolia and it applies causality test besides model stability test, which does not only authenticate the results but also provide unique way to conduct similar future research. © Emerald Group Publishing Limited.

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