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.


Bukhari S.S.H.,Sukkur Institute of Business Administration | Kwon B.-I.,Hanyang University
IEICE Electronics Express | Year: 2017

Numerous loads require the installation of load transformers for electrical isolation or voltage matching. When these loads are powered by a single-phase on-line UPS system, a high magnitude of transient inrush current is often observed due to the energizing of the load transformer. In this paper, we propose a novel single-phase on-line UPS system that eliminates the generation of inrush current while powering multiple load transformers. The performance of the proposed single-phase UPS system is endorsed by our experimental results obtained using a small laboratory-sized prototype. © IEICE 2017.


Waqas A.,Sukkur Institute of Business Administration | Yusof Z.M.,International Islamic University Malaysia | Shah A.,International Islamic University Malaysia
Proceedings - 2013 International Conference on Advanced Computer Science Applications and Technologies, ACSAT 2013 | Year: 2014

This research paper aims to explore the underlying cloud computing architectures with respect to security and auditing services. As most of the standards have not been defined yet for cloud computing, academic and industrial researchers are participating with their ideas and proofs. We have surveyed and classified the available cloud computing architectures into three categories which are 1) Architecture of Cloud Computing Security and Auditing, 2) Data Storage Security, Privacy and Auditing of Data Leakage, and 3) Security and Auditing of Malicious Acts. This taxonomy and analysis of existing cloud architectures will be helpful to address the primary issues focusing the security and auditing perspectives in future research. © 2013 IEEE.


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 J.,Sukkur Institute of Business Administration | Soomrani M.A.R.,Sukkur Institute of Business Administration
2016 International Conference on Intelligent Systems Engineering, ICISE 2016 | Year: 2016

Recently; medical data mining has become one of the well-established research areas of machine learning and AI base techniques have been used to solve the complex classification problem of thyroid disease. Due to the existence of non-palpable nodules it is very hard to detect the structural changes of thyroid disease by assessing the thyroid functional changes. For instance at structural level Euthyroid is normal thyroid hormonal functional state but this would be involved in initial structural changes such as goiter, cold nodule, MNG (multiple nodule goiter) and cancer (Grave's Disease and so on). The ideal system should not only identify all the thyroid disease types but also recommend state of structural levels; otherwise it would be converted into serious disease, such like cancer. In-order to mitigate such problems, this paper proposes a framework TDTD (Thyroid Disease Types Diagnostics) that aims to assist the physicians during the diagnostic process of thyroid diseases in a very structured and transparent manner. Proposed system TDTD presents a novel method MDC (Medical data cleaning) for filling of missing values in medical datasets by building classifier based upon the Bayesian isotonic regression algorithm because missing values of medical data (i.e. blood tests) are different in nature and they could not be filled with normal procedures. In second phase two classifiers are trained to classify the functional and structural levels of thyroid disease at granular level using multi and binary SVM (support vector machine) algorithms, in final phase performance and evaluation is approximated using confusion matrix, precision and recall measures. © 2016 IEEE.


Qadir A.,Sukkur Institute of Business Administration | Memon K.H.,Sukkur Institute of Business Administration
MATEC Web of Conferences | Year: 2016

Granular materials have vast applications both in industry and in daily life. They display quite interesting and exceptional properties different from the other known forms of matter. To investigate the complex properties of particulate materials, experimental, analytical and simulation techniques have been employed. In this paper the results of large-scale discrete element molecular dynamics (DEM) simulations in three dimensions are reported. It deals with the investigation of stress deflection due to various grain sizes. Moreover, the influence of coefficient of friction between granules and cylindrical walls on the mass measured at bottom of container i.e. apparent mass is thoroughly investigated. It is revealed that apparent mass varies linearly with the grain size. In addition to that, it is also found that the apparent mass variation is strongly dependent on bead diameter rather than the silo. The results reveal that conversion of vertical stresses into horizontal in silo is mainly due to the friction between the grain and system boundary. © Owned by the authors, published by EDP Sciences, 2016.


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.


Bosse T.,VU University Amsterdam | Memon Z.A.,VU University Amsterdam | Memon Z.A.,Sukkur Institute of Business Administration | Treur J.,VU University Amsterdam
Cognitive Systems Research | Year: 2012

Two types of modelling approaches exist to reading an observed person's emotions: with or without making use of the observing person's own emotions. This paper focuses on an integrated approach that combines both types of approaches in an adaptive manner. The proposed models were inspired by recent advances in neurological context. Both a neural model and a more abstracted cognitive model are presented. In the first place emotion reading is modelled involving (preparatory) mirroring of body states of the observed person within the observing person. This involves a recursive body loop: a converging positive feedback loop based on reciprocal causation between preparations for body states and emotions felt. Here emotion reading involves the person's own body states and emotions in reading somebody else's emotions: first the same feeling is developed by mirroring, and after feeling the emotion, it is imputed to the other person. In the second place, as an extension an adaptive process is modelled based on Hebbian learning of a direct connection between a sensed stimulus concerning another agent's body state (e.g., face expression) and an emotion imputation state. After this Hebbian learning process the emotion is imputed to the other agent before it is actually felt, or even without it is felt. Both the mirroring and Hebbian learning processes first have been modelled at a neural level, and next, in a more abstracted form at a cognitive level. By means of an interpretation mapping the paper shows the relation between the obtained cognitive model and the neurological model. In addition to specifications of both models and the interpretation mapping, simulation results are shown, and automated verification of relevant emerging properties is discussed. © 2010 Elsevier B.V.


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

This paper attempts to investigate the emissions embodied in Australia’s economic growth and disaggregate primary energy sources used for electricity production. Using time series data over the period of 1990–2012, the ARDL bounds test approach to cointegration technique is applied to test the long-run association among the underlying variables. The regression results validate the long-run equilibrium relationship among all vectors and confirm that CO2 emissions, economic growth, and disaggregate primary energy consumption impact each other in the long-run path. Afterwards, the long- and short-run analyses are conducted using error correction model. The results show that economic growth, coal, oil, gas, and hydro energy sources have positive and statistically significant impact on CO2 emissions both in long and short run, with an exception of renewables which has negative impact only in the long run. The results conclude that Australia faces wide gap between emission abatement policies and targets. The country still relies on emission intensive fossil fuels (i.e., coal and oil) to meet the indigenous electricity demand. © 2016 Springer-Verlag Berlin Heidelberg

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