National University of Computer and Emerging Sciences

About: National University of Computer and Emerging Sciences is a education organization based out in Islamabad, Pakistan. It is known for research contribution in the topics: Computer science & The Internet. The organization has 1506 authors who have published 2438 publications receiving 26786 citations.

A Constructive Approach for General Video Game Level Generation

Abstract: General Video Game Level Generation provides a platform to develop level generators that work for general games within a certain domain. In this paper, we present our n-gram and constraint-based level generator. The generator generates levels based on the player logs. The aesthetics are handled by n-gram and playability is ensured by using precise constraints. The generated levels are also evaluated using relative performance profile and user study. The experimental results show that the generated levels are of adequate quality comparative to the levels generated by sample level generators.

Ensemble of Texture and Deep Learning Features for Finding Abnormalities in the Gastro-Intestinal Tract

Abstract: An endoscopy is a strategy in which a specialist utilizes specific instruments to see and work on the inward vessels and organs of the body. This paper expects to predict the abnormalities and diseases in the Gastro-Intestinal Tract, utilizing multimedia data acquired from endoscopy. Deep Analysis of GI tract pictures can foresee diseases and abnormalities, in its early stages and accordingly spare human lives. In this paper, a novel ensemble method is presented, where texture and deep learning features are integrated to improve the prediction of the abnormalities in the GI tract e.g. Peptic ulcer disease. Multimedia content analysis (to extricate data from the visual information) and machine learning (for classification) have been explored. Deep learning has additionally been joined by means of Transfer learning. Medieval Benchmarking Initiative for Multimedia Evaluation provided the dataset, which includes 8000 pictures. The data is gathered from conventional colonoscopy process. Using logistic regression and ensemble of different extracted features, 83% accuracy and a F1 score of 0.821 is achieved on testing sample. The proposed approach is compared with several state-of-the-art methods and results have indicated significant performance gains when compared with other approaches.

Experimental Study on Endurance Performance of Lime and Cement-Treated Cohesive Soil

Abstract: An earthwork design requires to consider the influence of severe climatic conditions on enduring performance of soils treated with chemical additives. This study was focused on investigating the mechanical behavior of a lime and cement-treated cohesive soil under the effects of repeated cycles of wetting and drying. The soil samples were prepared by adding different concentrations of cement (2, 6, 10, 12, 16, 20%) and quicklime (2, 4, 6, 8, 10%). Due to low-plastic nature of the host soil, the effectiveness of cement to reduce the plasticity of soil was relatively higher compared to lime-treatment. Likewise, an increase in optimum moisture and decrease in maximum dry unit weight was observed for both the additives and these effects were significant for lime treated soil compared to cement. Moreover, an increase in strength from 0.57 MPa to 12.9 MPa at 20% cement and from 0.57 MPa to 2.03 MPa at 2% lime was observed in unconfined compressive strengths (UCS) tests on soil samples. To investigate the durability characteristics of the treated soil, the samples were subjected to 12 cycles of wetting and drying with each cycle consisting of 5 hours of immersion in potable water and subsequent drying in oven for 43 hours. The compressive strength, volume change and weight loss of soil samples were determined at the 1st, 3rd, 6th, 9th and 12th cycle. It is observed that the durability behaviour of treated soil is multipart due to parallel processes of positive aging (hydration process associated with binding agents) and negative aging (induced weathering). For a sustainable mechanical performance of the treated soil, an optimum dose of 6% lime or 16% cement is recommended and some correlations are proposed to quantify the effects of repeated wetting and drying.

A novel fast and robust digital image watermarking using Bee Algorithm

Abstract: In today's era of digital information, protection of intellectual property rights is of great concern Watermarking is one technique which is used to protect against illicit copy and distribution of digital information In this paper we propose a novel technique for embedding watermarks in digital images that takes inspiration from the Bee Algorithm The Bee Algorithm is a fairly new evolutionary algorithm that exploits the food foraging behavior of honey bees which enables them to search for best quality flower patches over large distances Our Algorithm mimics this behavior of bees to embed watermark in the wavelet domain such that the resultant image is highly imperceptible as well as robust Simulation results show that our proposed technique consumes far less time in comparison to other classical evolutionary algorithms

A hybrid artificial immune system (AIS) model for power aware secure Mobile Ad Hoc Networks (MANETs) routing protocols

Abstract: Securing ad hoc routing protocols for MANETs is a significant challenge due to number of reasons: (1) mobility results in continuously changing network topology - the premise of stable self or non-self is void, (2) the proposed security solution must be lightweight so that it can be deployed on resource constrained mobile nodes, and (3) the solution should provide high detection accuracy and low false positive rate. The major contribution of this paper is a hybrid AIS model - combining the relevant features of classical self/non-self paradigm with the emerging danger theory paradigm - that has the capability to meet the above-mentioned challenges of the MANET environment. As a case study, we use our hybrid model to develop a power aware security framework for BeeAdHoc- a well-known bio-inspired routing protocol. We have realized our framework in ns-2 simulator. We have also developed an attacker framework in ns-2 that has the capability to launch a number of Byzantine attacks on BeeAdHoc. The results of our experiments show that our proposed framework meets all its requirements: (1) the adaptive learning because of changing self/non-self, (2) high detection accuracy and low false positive rate, (3) lightweight in terms of processing and communication overheads, and (4) better or comparable performance compared with non-secure versions of existing state-of-the-art MANET routing protocols -DSR and AODV. We have also compared our hybrid AIS model with self/non-self, danger theory and a conventional anomaly detection system to show its merits over these schemes. Finally, we propose an extension of the framework for securing DSR.