{"title":"Human-Robot Interaction in an Unknown Human Intention Scenario","authors":"M. Awais, D. Henrich","doi":"10.1109/FIT.2013.24","DOIUrl":"https://doi.org/10.1109/FIT.2013.24","url":null,"abstract":"In this paper an approach is introduced to human robot interaction in a known scenario with unknown human intentions. Initially, the robot reacts by copying the human action. As the human-robot interaction proceeds, the level of human-robot interaction improves. Before each reaction, the robot hypothesizes its potential actions and selects one that is found most suitable. The robot may also use the human-robot interaction history. Along with the history, the robot also considers the action randomness and heuristic based action predictions. As solution, a general reinforcement Learning (RL) based algorithm is proposed that suggests learning of human robot interaction in an unknown human intention scenario. A Particle Filter (PF) based algorithm is proposed to support the probabilistic action selection for human-robot interaction. The experiments for human-robot interaction are performed by a robotic arm involving the arrangement of known objects with unknown human intention. The task of the robot is to interact with the human according to the estimated human intention.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125174518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated Plant Disease Analysis (APDA): Performance Comparison of Machine Learning Techniques","authors":"Asma Akhtar, Aasia Khanum, S. Khan, A. Shaukat","doi":"10.1109/FIT.2013.19","DOIUrl":"https://doi.org/10.1109/FIT.2013.19","url":null,"abstract":"Plant disease analysis is one of the critical tasks in the field of agriculture. Automatic identification and classification of plant diseases can be supportive to agriculture yield maximization. In this paper we compare performance of several Machine Learning techniques for identifying and classifying plant disease patterns from leaf images. A three-phase framework has been implemented for this purpose. First, image segmentation is performed to identify the diseased regions. Then, features are extracted from segmented regions using standard feature extraction techniques. These features are then used for classification into disease type. Experimental results indicate that our proposed technique is significantly better than other techniques used for Plant Disease Identification and Support Vector Machines outperforms other techniques for classification of diseases.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127741541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Green Data Center Networks: Challenges and Opportunities","authors":"Kashif Bilal, S. Khan, Albert Y. Zomaya","doi":"10.1109/FIT.2013.49","DOIUrl":"https://doi.org/10.1109/FIT.2013.49","url":null,"abstract":"The concerns about environmental impacts, electricity cost, and energy needs of data centers are mounting. These concerns have given significant impetus to consider energy efficiency as one of the major data center design parameters for researchers and IT executives. Tremendous growth in the size and computing demands of data centers mandate scalable, fault tolerant, and energy efficient network infrastructure within data centers. In the recent years, new Data Center Network (DCN) architectures have aptly proposed a viable solution to the issues posed by the legacy DCNs. New DCN architectures are required to be energy efficient and energy proportional, besides dealing with other identified design drawbacks, such as scalability, fault tolerance, end-to-end bandwidth, and non-agility. In this article, we will deliberate on the various DCN architectures, their inherent problems, and the potentials to achieve energy efficiency. We will also shed light on myriad techniques that may be suitable to make the DCN architectures more energy efficient and energy proportional. Finally, we will outline future directions.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128712991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rizwan Rasul, Abdul Mutaal, N. Saqib, Mohammad Kaleem, A. Shaukat, Aasia Khanum, M. Khan
{"title":"FPGA Accelerated Computing Platform for MATLAB and C/C++","authors":"Rizwan Rasul, Abdul Mutaal, N. Saqib, Mohammad Kaleem, A. Shaukat, Aasia Khanum, M. Khan","doi":"10.1109/FIT.2013.38","DOIUrl":"https://doi.org/10.1109/FIT.2013.38","url":null,"abstract":"With latest advancements in architecture, reprogram ability and availability of abundant on-chip resources, FPGAs (Field Programmable Gate Array) are used as hardware accelerators to speedup computationally intensive tasks with inherent parallelism. However non-availability of standard MATLAB and C/C++ computation routines and communication interface for general purpose programming restricted researchers and developers from easily utilizing the parallel computational ability of FPGAs in MATLAB and C/C++. In this article we propose a proof of concept implementation for software-hardware co-design that can be used with MATLAB and C/C++ to share the burden of intensified computing with the FPGA. Typical applications which can be divided into multiple tasks to be executed in parallel can be easily transferred to FPGA by utilizing the proposed method. Some of the applications which can efficiently use this concept are image processing, video processing, data encryption and data compression. Results obtained by using our method and routines implemented in software and hardware provide 50% to 100% computational acceleration, as compared to routines running in software on MATLAB running on a computer. The design and concept can aid developers to use FPGAs in combination with higher level computational languages such as MATLAB and C/C++.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115961419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Motivational and De-motivational Factors for Software Engineers: An Empirical Investigation","authors":"Ikram Asghar, M. Usman","doi":"10.1109/FIT.2013.20","DOIUrl":"https://doi.org/10.1109/FIT.2013.20","url":null,"abstract":"This paper is based on an industrial survey conducted on software engineer motivation as previous research shows that motivation is amongst the most frequently highlighted causes of software projects failure. Motivation greatly impacts practitioner's productivity. Yet motivation is mostly ignored in software engineering literature and practice. Researchers have conducted studies on motivation in software engineering mostly in western culture. There have been very few studies on motivation of software engineers from Asia. We have not been able to find any empirical study conducted on this subject in South Asia, which is an important region in information technology industry worldwide. We therefore decided to conduct an empirical study in Pakistan to identify factors that motivate or de-motivate software engineers. Given the nature of the research we used an online questionnaire based on Job Characteristic Theory to identify (de)motivational factors that affect software engineers at work place. Results are based on 306 responses. Results are relatively different from previous studies as most of the previous work is done in western countries. These differences are analyzed in the light of Hofstede's Cultural Dimension 5 Dimensional Model. National culture impacts factors that (de)motivate software engineers in a country. Software companies should follow culture sensitive steps to deal with (de)motivational factors affecting their software engineers.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116427443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ali Muqtadir, M. Abid, Abdul Qayyum Khan, G. Mustafa
{"title":"Residual Generation for Discrete Time Periodic Systems Using Parity Space Approach","authors":"Ali Muqtadir, M. Abid, Abdul Qayyum Khan, G. Mustafa","doi":"10.1109/FIT.2013.44","DOIUrl":"https://doi.org/10.1109/FIT.2013.44","url":null,"abstract":"This paper deals with the strategy for fault detection (FD) of discrete-time periodic systems by implementing parity space approach. In this note, periodic discrete time systems are first converted to linear time invariant (LTI) formulation using a procedure called lifting technique which gives the analytic expression for reformulation of periodic systems into linear time invariant representation. After that, parity space approach is applied to discrete LTI system for the detection of faults and disturbance is completely decoupled from the system using perfect unknown input decoupling technique. In the end, a numerical example is solved and simulation results are provided.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131773119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of Velocity Control Algorithm on a Swerve Based Omni-directional Robot","authors":"Zain ul Hassan, Waqas ur Rahman, Umer Farooq","doi":"10.1109/FIT.2013.43","DOIUrl":"https://doi.org/10.1109/FIT.2013.43","url":null,"abstract":"This paper includes implementation of velocity control algorithm on an Omni-directional swerve drive robot. The algorithm enables the motors of the robot to maintain their velocities, even at varying voltage levels and at varying load. This allows the robot motion to be smooth and precise. The algorithm is based upon feedback mechanism.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121091856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Non-data-aided SNR Estimation Method for Square-QAM System","authors":"S. S. Khalid, S. Abrar","doi":"10.1109/FIT.2013.34","DOIUrl":"https://doi.org/10.1109/FIT.2013.34","url":null,"abstract":"Envelop-based (EVB) SNR estimators are robust to carrier offset and phase jitter. The performance of such estimators however, degrades with increasing SNR for nonconstant modulus constellations. In this work, we consider the SNR estimation as an optimum scale-invariant rank discrimination testing problem and propose an EVB algorithm that does not fail at high SNR. The performance of this algorithm is evaluated for 16 and 64 square-QAM and compared with popular EVB algorithms, i.e., M_2M_4 and M_6. Under the assumption of no phase/frequency offset errors, the simulation results show comparable performance at low SNR with existing algorithms and a significant improvement at higher SNR.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132170159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Mahmood, T. Ali, S. Khattak, Mudassar Aslam, H. Mehmood
{"title":"A Color Image Enhancement Technique Using Multiscale Retinex","authors":"Z. Mahmood, T. Ali, S. Khattak, Mudassar Aslam, H. Mehmood","doi":"10.1109/FIT.2013.29","DOIUrl":"https://doi.org/10.1109/FIT.2013.29","url":null,"abstract":"In this work we develop a new technique to enhance color images using multiscale retinex theory. The proposed technique consists of four major steps. In first step Principal Component Analysis (PCA) is used on the input colored image to obtain the luminance channel. In second step luminance channel is enhanced using multiscale retinex. In third step the ratio of enhanced luminance to the original luminance is calculated. Meanwhile new red, green and blue values of images are computed by multiplying the luminance ratio with initial red, green and blue values of the colored image. In fourth step, contrast stretching is performed on each red, green and blue channel separately. Detailed experiments were performed on 81 colored images having non-uniform luminance. The results of proposed technique show that the brightness and the overall visual appearance of the image are increased as compared to conventional methods such as histogram equalization, histogram specification and gamma correction with less execution time.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116165891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Medical Image Fusion Scheme Using Weighted Sum of Multi-scale Fusion Results","authors":"Sohaib Afzal, Abdul Majid, Nabeela Kausar","doi":"10.1109/FIT.2013.28","DOIUrl":"https://doi.org/10.1109/FIT.2013.28","url":null,"abstract":"Fusion of medical images helps improve diagnosis and treatment by combining complementary data from different imaging modalities such as PET, MRI and CT. Several techniques for fusing medical images have been developed, but lack of contrast and distortion of fine details remain important concerns. In this paper, we propose a novel two step medical image fusion scheme. In the first step, individual multi-scale fusion techniques are applied to obtain fused images. In the second step, the individual results are combined using weighted average, with local structural similarity measure used as weights. In this way, a superior quality fused image is obtained. To evaluate the performance of the proposed scheme, several experiments were performed on PET-CT and MR-CT fusion. Experimental results show that the proposed scheme is capable of producing well-fused images as compared to individual multi-scale techniques i.e. discrete Wavelet transform, dual-tree complex Wavelet transform, Laplacian pyramid, Contour let transform and Curve let transform based fusion. Fused images were evaluated using multiple quality metrics. The proposed scheme demonstrated improvement of 3 to 4% in Mutual Information measure, around 2% in PSNR and 2 to 5% in a modified Universal Image Quality Index measure. Our results also scored well in other methods of evaluating fusion quality, namely Structural Similarity and Correlation.","PeriodicalId":179067,"journal":{"name":"2013 11th International Conference on Frontiers of Information Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124809757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}