Sir Syed University of Engineering and Technology

www.ssuet.edu.pk
Sita Road, Pakistan

Sir Syed University of Engineering and Technology is a private research university located in the urban area of Karachi, Sindh, Pakistan. The university is honored in the name of notable 19th century Muslim reformer and philosopher, Sir Syed Ahmad Khan.Sir Syed University of Engineering and Technology was founded by the late chancellor, Z.A. Nizami. Nizami is the former director general of the Karachi Development Authority as well as the president of Aligarh Muslim University Old Boys. The university is noted for its strong emphasis on the development on history, philosophy, modern science and engineering. The outstanding real time projects of the university refers Pakistan the technologically sound, on the face of earth. The university offers academic programmes for undergraduate, post-graduate, and doctoral studies in science and engineering. It is one of the leading and listed among in country's top universities in "engineering and technology" category by the HEC, as of 2013. In addition, the university is also a member of the Association of Commonwealth Universities of the United Kingdom as well as the member of the International Association of Universities.The university holds a unique reputation for conducting and engaging research in science, energy, and engineering to meet its international standards. Furthermore, the university's admission policy also won praise from the public circles for offering world-class science programmes to the students despite their insufficient number of examination seats required for the admission in the engineering universities of the country. Sir Syed University of Engineering and Technology is the only University that offers scholarships to every student who perform well in any semester with a Scholarship grant of 48–54%, which enable many students to perform well continuously in their curriculum years. Wikipedia.


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Haleem D.J.,University of Karachi | Ikram H.,University of Karachi | Haleem M.A.,Sir Syed University of Engineering and Technology
Brain Research | Year: 2014

Apomorphine is a non-narcotic derivative of morphine, which acts as a dopamine agonist to produce psychostimulant like effects. Currently, apomorphine is used in patients with advanced Parkinsons disease, for the treatment of persistent and disabling motor fluctuations, but a constellation of addictive syndromes such as excessive over use of medication, compulsive behaviors, and disturbances of impulse control are noticed in certain patients. Research on rodent models using conditioned place preference (CPP) paradigm also shows that the drug is rewarding. Previously we have shown that repeated administration of apomorphine produces behavioral sensitization which is prevented in rats co-injected with a low (1.0 mg/kg) but not higher (2.0 mg/kg) dose of buspirone. The present study shows that rewarding effects of apomorphine (1.0 mg/kg) in a CPP paradigm are also blocked in rats co-injected with a low (1.0 mg/kg) but not higher (2.0 mg/kg) dose of buspirone. The levels of serotonin and its metabolite are decreased in the caudate as well as nucleus accumbens of rats exhibiting CPP and the decreases do not occur in animals co-injected with low or higher dose of buspirone. The levels of dopamine and its metabolites are not affected in animals exhibiting CPP; administration as well as co-administration of higher dose of buspirone decreased dopamine metabolism in the caudate as well as nucleus accumbens. The findings suggest a critical role of serotonin in the rewarding effects of apomorphine and imply that co-use of buspirone at low doses can help to control addictive syndromes in Parkinsons disease patients on apomorphine therapy. © 2014 Elsevier B.V.


Haleem D.J.,University of Karachi | Ikram H.,University of Karachi | Haider S.,University of Karachi | Parveen T.,University of Karachi | Haleem M.A.,Sir Syed University of Engineering and Technology
Pharmacology Biochemistry and Behavior | Year: 2013

Stress increases vulnerability to addiction while drugs of abuse impair coping responses and pre-dispose to depression. Pre-clinical research shows that stress exposure augments locomotor sensitization effects of drugs of abuse and impairs behavioral tolerance to repeated stress. The present study investigates relationship between behavioral tolerance to repeated immobilization stress and apomorphine-induced sensitization. Apomorphine was injected either before exposure or after the termination of immobilization, daily for 5 days, to monitor drug-induced behavioral sensitization and tolerance in immobilization stress-induced anorexia. We find that apomorphine-induced sensitization is enhanced and tolerance to repeated immobilization is impaired if the drug is administered before exposure to stress episode. Conversely, apomorphine-induced sensitization is inhibited and adaptation to stress is facilitated if the drug is administered after the termination of stress episode. It shows that apomorphine, if experienced during stress, produces greater sensitization and impairs stress tolerance. Conversely, sensitization effects of apomorphine are blocked and tolerance to stress is facilitated in animals receiving drug after the termination of stress episode. It is suggested that additive effects of stress and apomorphine on mesocorticolimbic dopamine neurotransmission and 5-HT-1A influences on dopamine neurotransmission may have a role in the modulation of apomorphine sensitization and tolerance to repeated immobilization stress. The results may help develop potential pharmacotherapies when substance abuse/dependence disorder and depression occur together. © 2013 Elsevier Inc.


Haleem D.J.,University of Karachi | Inam Q.-U.-A.,University of Karachi | Haleem M.A.,Sir Syed University of Engineering and Technology
Behavioural Brain Research | Year: 2015

Despite acceptable therapeutic efficacy, there is limited data regarding the long-term consequences of MPD exposure over extended periods. The present study concerns effects of clinically relevant doses of MPD, administered orally to rats for an extended period, on spatial memory, behavioral sensitization and habituation to an open field. Water maze test was used to monitor memory acquisition (2. h after training), retention (day next to training), extinction (1 week after training) and reconsolidation (weekly for 4 weeks). Administration of MPD at doses of 0.25-1.0. mg/kg improved memory acquisition, retention, reconsolidation and impaired memory extinction. Treatment with 0.25 and 0.5. mg/kg MPD for 6 weeks produced a sustained increase in motor activity but higher dose (1.0. mg/kg) elicited behavioral sensitization. High as well as low doses MPD impaired open field habituation. We conclude that clinically relevant doses of MPD enhance memory even if used for extended period. It is suggested that higher (1.0. mg/kg) clinically relevant doses of MPD, if used for extended period, may exacerbate hyperactivity and impulsivity associated with the disease. © 2014.


Siddiqi R.,Sir Syed University of Engineering and Technology
ICICT 2013 - Proceedings of the 2013 5th International Conference on Information and Communication Technologies: Using Technology to Create a Better World | Year: 2013

IndusMarker is an automated short-answer marking system based on structure-editing and structure-matching rather than extensive use of linguistic features analysis. Since IndusMarker cannot guarantee 100% human-system agreement rate, the use of IndusMarker has therefore been limited to conducting practice tests. It was expected that such a use of IndusMarker will lead to improvements in student learning and instructor-student interactions. The main aim of this paper is to verify these claims. The results indicate that such a use of IndusMarker leads to improvements in both student learning and instructor-student interactions. In addition, IndusMarker is also shown to give reasonably high human-system agreement rates even after the removal of all linguistic analysis features from the software. © 2013 IEEE.


Samad N.,Sir Syed University of Engineering and Technology
Journal of Food and Drug Analysis | Year: 2015

Tardive dyskinesia (TD) is one of the serious side effects of long-term antipsychotic treatment. Chronic treatment with neuroleptic leads to the development of abnormal oral movements called vacuous chewing movements (VCMs). The oxidative stress hypothesis of TD is one of the possible pathophysiologic models for TD. Preclinical and clinical studies of this hypothesis indicate that neurotoxic free radical production is likely to be a consequence of antipsychotic medication and is related to occurrence of TD. Oxidative stress is implicated in the pathophysiology of TD. Rats chronically treated with haloperidol orally at a dose of 0.2 mg/kg/day for a period of 5 weeks developed VCMs, which increased in a time-dependent manner as the treatment continued for 5 weeks. Motor coordination impairment started after the 1st week and was maximally impaired after 3 weeks and gradually returned to the 1st week value. Motor activity in an open field or home cage (activity box) not altered. Administration of rice bran oil (antioxidant) by oral tubes at a dose of 0.4 mL/day prevented the induction of haloperidol-elicited VCMs as well impairment of motor coordination. The results are discussed in the context of a protective role of antioxidant of rice bran oil in the prevention of haloperidol-induced extrapyramidal symptoms. © 2014, Food and Drug Administration, Taiwan. Published by Elsevier Taiwan LLC. All rights reserved.


Siddiqi R.,Sir Syed University of Engineering and Technology
ICICT 2013 - Proceedings of the 2013 5th International Conference on Information and Communication Technologies: Using Technology to Create a Better World | Year: 2013

Usage of streaming video over the Internet and mobile networks has become quite common due to its convenience and low cost. In all the uses of streaming video over networks that do not guarantee bandwidths, the major challenge is to maintain acceptable video viewing experience in case of a network congestion. This paper presents a technique that has the potential to solve this challenge, at least to a certain extent. The proposed technique dynamically adjusts the chrominance level of the video images to fit the available bandwidth. Analysis of the results indicates that dynamic chrominance adjustment does improve the viewing quality of the streaming video significantly. © 2013 IEEE.


Enam R.N.,Sir Syed University of Engineering and Technology | Qureshi R.,Sir Syed University of Engineering and Technology | Misbahuddin S.,Sir Syed University of Engineering and Technology
International Journal of Distributed Sensor Networks | Year: 2014

In wireless sensor networks with dynamic clustering, the cluster heads are usually not selected on the basis of their locations. This causes irregular distribution of cluster heads and highly variable number of nodes in the clusters. Also, some of the clusters are spread over large areas within the network, causing limited spatial correlation between associated sensor nodes. These irregularities in cluster placements and dimensions negatively impact the efficiency of a wireless sensor network. For example, for a cooperative data aggregation, it necessitates variable or large sized packets while the aggregations, based on spatial correlation of sensor nodes, cannot be exploited easily. In this paper, we have developed a Distributed Uniform Clustering Algorithm (DUCA) for cluster based WSN. In DUCA, cluster formation mechanism is based on a virtual-grid system and sensing ranges of nodes that provide even distribution of clusters, homogenized cluster sizes, and reduced energy consumption. Simulation results show that DUCA improves the distribution of cluster heads by more than 2 times and reduces the energy consumption within a range of 15% to 50% as compared to the existing protocols. © 2014 Rabia Noor Enam et al.


Ajmal A.,Sir Syed University of Engineering and Technology | Hussain I.M.,Sir Syed University of Engineering and Technology
Proceedings of 2012 9th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2012 | Year: 2012

Vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management. We propose a novel and efficient algorithm based on image processing using vertically positioned camera for vehicle detection and classification according to their size. The algorithm is based on different techniques including image differencing, thresholding, edge detection and binary morphological process. Experiments are carried out over a wide range of vehicles, road segments and camera positions. A success rate of around 85% is achieved in both vehicle detection and classification. © 2012 IEEE.


Enam R.N.,Sir Syed University of Engineering and Technology
Proceedings of the 2013 International Conference on Collaboration Technologies and Systems, CTS 2013 | Year: 2013

A key aspect of collaboration systems, and therefore collaboration technologies is the ability to access concerned information in timely manner. The Internet of things (IoT) is being envisioned as the architecture of the future to assist in this regard. It will be created by combining sensing and communicating devices, which will provide data that can be analyzed and used to initiate automated actions. This structure of IoT has now given a new recognition to Wireless Sensor Networks (WSN) such that WSN can be identified as the data-collecting component of the IoT. Efficient data collection from a large scale WSN, with limited power supply, bandwidth and packet sizes, is a critical issue. One of the methods of data collection in a WSN is through forming multiple clusters of the sensor nodes with one cluster head (CH) in each cluster. The objective of this work is to develop an energy efficient data collection environment for a large scale, randomly deployed cluster based wireless sensor networks by using a virtual grid based mechanism to localize the clusters and stabilize the cluster sizes in the network. This has been done as a precondition to implement the proposed differential data aggregation scheme for the spatially correlated data in a cluster. © 2013 IEEE.


Meghani S.K.,Sir Syed University of Engineering and Technology | Asif M.,Sir Syed University of Engineering and Technology
Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014 | Year: 2014

A modified round trip time (RTT) time of arrival (ToA) technique is present to measure the distance between two nodes in wireless sensor network. The ultra wide band spectrum and Gaussian monopulse shaping is used on MATLAB platform for simulations. The nodes are simulated under following environments of 802.15.4a channel model for distances measurement: residential, office, industrial, outdoor and open outdoor. The measured distances are analyzed and compared with set distances using calculated absolute error versus set distance graphs for different UWB frequencies, 802.15.4a channels and sampling frequencies. Finally, trilateration using singular value decomposition (SVD) method calculations are done for localization by using the measured distances. The position errors with respect to set positions are calculated for different trilateration layouts. © 2014 IEEE.

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