Virendra Kumar, Imran Khan, Vikas Choudhary |
||||||||||||
| A Question Generator System Using Stanford Parsing | ||||||||||||
Today, when online tutoring is in its growing phase. There are lots of problems arising for students. Problems regarding questions and their answers, what questions they have to know in the reference of the material which has been taught to them. Not only in online tutoring, in all the fields where there is a need of some questions, are facing lots of difficulties. The solution for these types of problems is a question generation system (Qgs). The question generation system will take a sentence as an input and produce an output contains all the possible questions for that sentence. The parser which will be going to use is "Stanford parser‟. This Qgs will work on the basis of entities present in the sentence (input). All the questions (output) which will be produced by the Qgs will be grammatically correct. The input sentence is parsed by the Stanford parser where the semantic and syntactic analysis will be done and the sentence is parsed on the basis of its grammatical structure. Then the entities present in the sentence are identified by name entity recognition technique. The output of all these phases is integratedinto transformation process and the sentence is transformed in interrogative sentence and passed to the grammar checker where the output is checked under grammatical structure and correct interrogative sentence is present as an output of the question generation system. Stanford parser, semantic &syntactic analysis, entity recognition technique.
[1] Foundations of Statistical Natural Language Processing by Christopher D. Manning and HinrichSchiitze.
[2] Natural Language Processing APaninian Perspective by AksharBharati, VineetChaitanya and Rajeev Sangal. [3] PERL Workbook by Lisa Pearl. [4] Learning Perl the Definitive Guide by Jason Brittain, Ian F. Darwin Randal L. Schwartz, Tom Phoenix, and brian d foy. Journal Articles / Papers: [5] Husan Ali, YlliasChali, Sadid A; Hasan University of LethbridgeLethbridge, AB, Canada "Automatic Question Generation from Sentences".
|
Ms.Jayashree R.Parate, Prof.R.K.Krishna |
||||||||||||
| Segmentation Approach for Detecting Micro-Calcified Region in Bosom | ||||||||||||
An image processing application was developed in C++ for the improvement of mammographic images. Wavelet-based image enhancement was implemented by processing the DWT detail coefficients with a sigmoid function. Mammography is the most effective method for the early detection of breast diseases. However, the typical diagnostic signs such as micro calcifications and masses are difficult to detect because mammograms are low-contrast and noisy images. .images are of low contrast so here require denoising and the process is called preprocessing. Coarse segmentation is the first step which can be done by using wavelet based histogram thresholding where, the thereshold value is chosen by performing 1-D wavelet based analysis of PDFs of wavelet transformed images at different channels. These wavelet were applied to 130 digitized mammograms. The mammograms gone under processing were blind-reviewed by an expert radiologist. A number of mammographic image parameters, such as definition of masses, vessels, microcalcifications, etc. were checked. Filter performances were assessed by thresholding analysis of the physician's evaluation. Processing time was less than 3s for the wavelet-based and hyperbolic filters in a typical desktop.
wavelet based Thresholding, breast cancer,mammography, window based Thresholding, segmentation.
[1]. [1] Comparative study of Wavelet Adaptive Windowing method an effective technique for tumor detection in mammilla (bosom) .
[2]. [2] preprocessing method a first stage for detection of cancer in mammographic images. [3]. [3].R.Mata, E.Nava,F. Sendra, "Microcalcifications detection using multi resolution methods, pattern Recognition,"2000,proceeings,15th International Conference.4,344-347,2000. [4]. [4].X. P. Zhang, "Multiscale tumor detection and segmentation in mammograms," in Proc. IEEE Int. Symp. Biomed. Imag., pp. 213–216, Jul. 2002. [5]. [5].F. Fauci, S. Bagnasco, R. Bellotti, D. Cascio, C. Cheran, F. De Carlo, G. De Nunzio, M. E. Fantacci, G. Forni, A. Lauria, E. Lopez Torres, R.
|
||||||||||||
N.Srinivas, T.Vijay kumar, Dinesh Kumar, S.Kakati |
||||||||||||
| Evaluation of chip breaker using flank wear on EN-8 steel and optimization of machining parameters for maximum tool life and minimum chip length using RSM methodology | ||||||||||||
Machining is one of the common and essential part of manufacturing of all most all metal products. In today's era of automatic machines optimization of machining operations is one of the key requirements During turning operation, unbroken chips pose a major hindrance, the continuous chip generated during turning operation deteriorates the work piece precision and causes safety hazards for the operator So, the development of a effective chip breaker is necessary in order to control the size and shape of the chips thereby increasing the tool life and for the atomization of turning operations . In this study, the role of different parameters like feed, speed, depth of cut along with flank wear on chip characteristics have been studied for machining of EN-8 (AISI 1040) steel. The MINITAB software has been used for design and analysis of the experiments conducted. Optimization of the machining parameters has been done using MINITAB software in order to maximize the tool life and minimize the chip length by adopting Response Surface Methodology (RSM).
EN-8 steel-design of effective chip breaker-RSM-tool life-chip length.
[1] Kim J.D., Kweun O.B. A chip-breaking system for mild steel in turning, International Journal of machine tools manufacture, 37 (1997), pp. 607-617.
[2] 2) Life Prediction of Cutting Tool by the Workpiece Cutting Condition -by Noemia Gomes de Mattos de Mesquita. Advanced Materials Research Vol. 223 (2011) pp 554-563. [3] Evaluation of chip breaking using flank wear by SumitRroyal –NIT Rourkela. [4] Application of Taguchi Method in Optimization of Tool Flank Wear Width in Turning Operation of AISI 1045 Steel, a journal on ISSN 2224-6096 (Paper) ISSN 2225-0581 (online) Vol 2, No.8, 2012 [5] study of chip breaking on stainless steel by Sarath Nayak-NIT Rorkela, journal published in 2011
|
||||||||||||
Lalita Sharma, Vinit Kumar, Pushpakraval |
||||||||||||
| Survey: Privacy Preservation Association Rule Mining | ||||||||||||
Privacy is an important issue when one wants to make use of data that involves individuals' sensitive information. Research on protecting the privacy of individuals and the confidentiality of data has received contributions from many fields, including computer science, statistics, economics, and social science. In this paper, we survey research work in privacy-preserving Data Publishing and Association Rule Mining. Association rule mining is the most important technique in the field of data mining. It aims at extracting interesting correlation, frequent pattern, association or casual structure among set of item in the transaction database or other data repositories. Association rule mining is used in various areas for example Banking, department stores etc. In this paper, we provide the preliminaries of basic concepts about association rule mining and survey the list of existing association rule mining techniques. Of course, a single article cannot be a complete review of all the algorithms, yet we hope that the references cited will cover the major theoretical issues, guiding the researcher in interesting research directions that have yet to be explored
K-anonymity, Perturbation, Cryptography, Randomization, Association Rule Mining, Support, and Confidence
[1] Agrawal, R., Imielinski, T., and Swami, A. N. 1993. Mining association rules betweensets of items in large databases. In Proceedings ofthe 1993 ACM SIGMODInternational Conference on Management of Data, 207-216.
[2] Agrawal, R. and Srikant, R. 1994. Fast algorithms for mining association rules. In Proc.20th Int. Conf. Very Large Data Bases, 487-499. [3] Agarwal, R. Aggarwal, C. and Prasad V., A tree projection algorithm for generation of frequentitemsets. In J. Parallel and Distributed Computing, 2000. [4] Ashrafi, M., Taniar, D. Smith, K. A New Approach of Eliminating Redundant AssociationRules, Lecture Notes in Computer Science, Volume 3180, 2004, Pages 465 – 474. [5] Ashrafi, M., Taniar, D., Smith, K., Redundant Association Rules Reduction Techniques,Lecture Notes in Computer Science, Volume 3809, 2005, pp. 254 – 263.
|
||||||||||||
Soon-kak Kwon |
||||||||||||
| Improving Picture Quality for Regions of Interest | ||||||||||||
In order to improve the picture quality, the region of interest within video sequence should be handled differently to regions which are of less interest. Generally the region of interest is coded with smaller quantization step-size to give higher picture quality, compared with the remainder of the image. However the abrupt change picture quality variation on the boundary of regions of interest can cause the some degradation of the overall subjective picture quality. This paper presents a method where the local picture quality is varied smoothly between the region of interest and the remainder of the image. We first classify the type of subjectively region of interest which can be determined by using motion vectors estimated in the coding process. Then the region of interest is coded by decreasing the quantization step-size according to a gradual linear change from the other regions within a video sequence.
ROI, Quantization, Subjective picture quality
[1] S.-k. Kwon, A. Tamhankar, and K. R. Rao, "Overview of H.264/MPEG-4 part 10," Journal of Visual Communications and Picture Representation, Vol. 17, No. 2, pp. 186-216, 2006. [3] T. Wiegand, G. Sullivan, G. Bjonttegaard, and A. Luthra, "Overview of the H.264/AVC video coding standard," IEEE Trans. Circuit Syst. Video Technology, Vol. 3, No. 7, pp. 560-576, 2003.
|
||||||||||||
Chen Wei, Wang Xiaozhen, Pan Yi |
||||||||||||
| Research Progress of Organic polymer Composite Materials Modified by Carbon Nanotube | ||||||||||||
Carbon nanotube is a kind of the special structure of material. Its radial length is nano-level and axial length is micron order of magnitude. Both ends of this one-dimensional quantum tube are basically sealed. Several dozens of layers of coaxial pipe is made up of the hexagonal arrangement of carbon atoms. In this paper, the Organic polymer Composite Materials Modified by Carbon Nanotube is introduced, it contains composite materials based ester, composite materials based resin matrix, composite materials based rubber and composite materials based alkeny. Ultimatelythe prospects for the applications of carbon nanotubes were proposed.
carbon nanotube; composite materials; resin matrix.
[1] Qianghua Wang. The Carbon nanotubes in the composite materials[J]. Glass fiber reinforced plastics, 2010, 1: 39-45.
[2] Guiying Yu, Xiaobing Li. The friction performance of polyurethane/ Carbon nanotubes composite materials[J]. Lubrication and seal, 2012, 37(2):54-57. [3] Junliang Lv, Yi Liu, Yunhong Yi. Polyurethane composite materials modified by Carbon nanotubes[J]. Synthetic resin and plastics, 2011, 28(3):24-26. [4] Yingchun Jiao, Tongde Shen, Qin Liang. Research development in Carbon nanotubes-reinforced PMMA composites[J]. China plastics, 2012, 26(10):16-23. [5] Gang Liu, Wenjun Ma, Fuefeng An. The shielding properties of Carbon nanotubes/ epoxy resin composite materials[J]. New carbon materials, 2012, 27(2): 100–104.
|
||||||||||||
T.Z.Quazi, R. Shaikh, Amol Totre, Rahul Nishad, Sagar Bodke, Angad Chauhan |
||||||||||||
| Blanking process optimization using Taguchi method | ||||||||||||
Metal blanking is a widely used process in high volume production of sheet metal components. The Research work carried out for investigating the effect of potential parameters, influencing the blanking process and their interactions. This helped in choosing the process leading parameters for two identical products manufactured from two different materials blanked with a reasonable quality on the same mold. The study has helped to evaluate the influence of tool clearance, sheet thickness and sheet material thus optimizing clearance which affects other process parameters. The designs of experiments (DOE) approach by Taguchi method is used in order to achieve the intended model objectives.
blanking, clearance ,thickness optimization, brass ,aluminum
[1]. R. Hambli, (2002), "Design of Experiment Based Analysis for Sheet Metal Blanking Processes Optimization". The International Journal of Advanced Manufacturing Technology, Vol.19, Page No.403-410.
[2]. F. Faura, A. Garcia, and M. Estrems, (1998), "Finite element analysis of optimum clearance in the blanking process". Journal of Materials Processing Technology, Vol.80-81, Page no.121-125. [3]. R. Hambli, S. Richir, P. Crubleau, and B. Taravel, (2003), "Prediction of optimum clearance in sheet metal blanking processes". International Journal of Advanced Manufacturing Technology, Vol. 22, page no. 20-25. [4]. Emad Al-Momani, Ibrahim Rawabdeh, (Mar. 2008), "An Application of Finite Element Method and Design of Experiments in the Optimization of Sheet Metal Blanking Process" Jordan Journal of Mechanical and Industrial Engineering. Volume 2, Number 1, Pages 53 -63. [5]. S. Maiti, A. Ambekar, U. Singh, P. Date, and K. Narasimhan, (2001), "Assessment of influence of some process parameters on sheet metal blanking".Journal of Materials Processing Technology, Vol. 102, page no. 249-256.
|
||||||||||||
L. O. Ettu, O. M. Ibearugbulem, U. C. Anya, K. C. Nwachukwu, C. T. G. Awodiji |
||||||||||||
| Strength of Blended Cement Soilcrete Containing Afikpo Rice Husk Ash and Saw Dust Ash | ||||||||||||
This study investigated the compressive strengths of soilcrete produced from blended cements made of Ordinary Portland Cement (OPC), Afikpo rice husk ash (RHA), and sawdust ash (SDA). 135 soilcrete cubes of 150mm x 150mm x 150mm were produced with OPC-RHA binary blended cement, 135 with OPC-SDA binary blended cement, and 135 with OPC-RHA-SDA ternary blended cement, each at percentage OPC replacement with pozzolans of 5%, 10%, 15%, 20%, and 25%. Three cubes for each percentage replacement of OPC with pozzolan and the control were tested for saturated surface dry bulk density and crushed to obtain their compressive strengths at 3, 7, 14, 21, 28, 50, 90, 120, and 150 days of curing. The 150-day strength values for OPC-RHA binary blended cement soilcrete were 10.50N/mm2 for 5% replacement, 10.30N/mm2 for 10% replacement, 10.10N/mm2 for 15% replacement, 10.00N/mm2 for 20% replacement, and 9.80N/mm2 for 25% replacement; values for OPC-SDA binary blended cement soilcrete were 10.10N/mm2 for 5% replacement, 9.90N/mm2 for 10% replacement, 9.70N/mm2 for 15% replacement, 9.50N/mm2 for 20% replacement, and 9.50N/mm2 for 25% replacement; values for OPC-RHA-SDA ternary blended cement soilcrete were 10.30N/mm2 for 5% replacement, 10.10N/mm2 for 10% replacement, 9.90N/mm2 for 15% replacement, 9.80N/mm2 for 20% replacement, and 9.60N/mm2 for 25% replacement; while the control value was 8.70N/mm2. This shows that OPC-RHA and OPC-SDA binary blended cements as well as OPC-RHA-SDA ternary blended cement could all be used in producing soilcrete with sufficient strength for building and civil engineering works.
Binary blended cement, ternary blended cement, soilcrete, pozzolan, rice husk ash, sawdust ash.
[1]. Adewuyi, A.P., & Ola, B. F. (2005). Application of waterworks sludge as partial replacement for cement in concrete production. Science Focus Journal, 10(1): 123-130.
[2]. Agbede, I. O., &Obam, S. O. (2008). Compressive Strength of Rice Husk Ash-Cement Sandcrete Blocks.Global Journal of Engineering Research, Vol. 7 (1), pp. 43-46. [3]. Bakar, B. H. A., Putrajaya, R. C., &Abdulaziz, H. (2010).Malaysian Saw dust ash – Improving the Durability and Corrosion Resistance of Concrete: Pre-review. Concrete Research Letters, 1 (1): 6-13, March 2010. [4]. Cisse, I. K., &Laquerbe, M. (2000).Mechanical characterization of sandcretes with rice husk ash additions: study applied to Senegal. Cement and Concrete Research, 30 (1): 13– 18. [5]. Cordeiro, G. C., Filho, R. D. T., & Fairbairn, E. D. R. (2009). Use of ultrafine saw dust ash with high-carbon content as pozzolan in high performance concrete. Materials and Structures, 42: 983–992. DOI 10.1617/s11527-008-9437-z.......
|
||||||||||||
S.Dhivya, M.Kannan |
||||||||||||
| Video Compression based on Singular Value Decomposition and Distributed Video Coding | ||||||||||||
Video compression with improved visual quality and with temporal redundancy reduction is a challenging task. Video coding standards such as H.261/3, MPEG-1/2/4 and H.264/AVC use motion estimation (ME) scheme to remove temporal redundancy which significantly improves the coding efficiency. However, the peak signal-to-noise ratio is less. A new video coding method is proposed based on Singular Value Decomposition (SVD) and Distributed Video Coding (DVC). The proposed scheme provides high peak signal-to-noise ratio(PSNR) with better visual quality and high compression efficiency compared to existing video codec's. The comparison of the proposed SVD coding plus distributed video coding scheme with the existing codec's shows its advantages and potential in applications. This method of video coding is suitable for scenarios such as mobile video phone, video surveillance systems, wireless video cameras, and disposable video cameras etc where high compression with enhanced visual quality are required.
Compression efficiency, Distributed video coding, Peak-signal-to-noise ratio, Singular value decomposition, Video compression.
[1]. Asai.K, Murakami.T, Yamagishi.S, Minezawa.A and Itani.Y, (2011), "New Video Coding Scheme Optimized for High-Resolution Video Sources," IEEE Trans. Signal Process., vol. 5, no. 7, pp. 1290–1297. [2]. A. Bahari, T. Arslan, and A. T. Erdogan, (2009), "Low-power H.264 video compression architectures for mobile communication," IEEE Trans. Circuits Syst. Video Technol., vol. 19, no. 9, pp. 1251–1261. [3]. Fan Zhang, and Bull.D.R, (2011), "A Parametric Framework for Video Compression Using Region-Based Texture Models," IEEE Trans., Signal Process., vol. 5, no. 7, pp. 1378–1392. [4]. Gabriellini.A, Flynn.D, Mark.M and Davies.T., (2011), "Combined Intra- Prediction for High-Efficiency Video Coding," IEEE Trans. Signal Process., vol. 5, no. 7, pp. 1282–1289. [5]. Zhouye Gu, Weisin Lin, Bu-sung Lee and Chiew Tong Lau, (2012), "Low-Complexity Video Coding Based on Two-Dimensional Singular Value Decomposition," IEEE Trans. Image Process., vol.21, no.2, pp. 674–687.
|
||||||||||||
Daw Abdulsalam Ali Daw, Kamaruzzaman Bin Seman |
||||||||||||
| A Gateway To Wimax Profiling Services In Libya | ||||||||||||
The resolution is define the ability of the optical system (Imaging System) to record details by distinguishing between the signals spatially or spectrally convergent or convergent in the intensity describes the details that carry image digital. The more high-resolution image was more, as can be expressed and clarity digital image with a number of different methods of radiometric resolution, recalling resolution radiometric to the number of levels used to represent the digital data representing the reference sensitized. So we devoted our work to study the effect of radiometric resolution and image quality by studying the statistical characteristics of an image Mean (μ), Standard deviation () , contrast, the absolute Central moment (ACM) and the extent affected by the number of digital levels used to represent the signal recorded.
Radiometric resolution, Image Quality, Contrast.
[1]. B. Jahne, "Digital Image Processing", Springer-Verlag, Berlin, 1997.
[2]. BA Harrison and Dlb Jupp, "Introduction to Remotely Sensed Data", (2004). [3]. Smith W., "Modern Optical Engineering", 3rd edition, MC Graw Hill Profession, ISBNO-07-136360-2, (2000). [4]. Roggemann, Michael and Welsh, Byron, "Imaging through Turbulence" CRC press ISBNO - 8493 -3787 - 9, (1996). [5]. Fisher R. and Tadic Galeb B., "Optical System Design", MC-Graw-Hill, (2000)...
|
||||||||||||
Priya R.Lodha, Mr. Avinash P.Wadhe |
||||||||||||
| An Introduction to Cloud Computing With Reference To Service Provided By the Cloud, Cloud Performance and Benchmarks | ||||||||||||
Cloud computing is an emerging technology in which the research community and industries have recently embarked. However, the infrastructures of most cloud computing systems today are invisible to the research community, or are not explicitly designed to the researchers interested in cloud computing systems. In this paper we have describe the cloud computing Environment, the different types of services, deployment models and platforms provided by the cloud, the security architecture, and the application areas. The basic concept of the cloud environment in the World Wide Web is briefly described with reference to the other service provider. Cloud computing and cloud services bring new ways of thinking about computing architecture and delivery models. With cloud, everything becomes a service so that companies can create new initiatives without a massive upfront investment. Cloud computing offers new and unique business benefits and will help change the way businesses collaborate, operate, and compete.
Cloud Computing, Deployment models, Service models, Performance benchmarks, Distributed paradigm
[1]. Windows Azure Platform, v1.3—Chappell.http://www.microsoft.com/windowsazure/.
[2]. Amazon Elastic Compute Cloud[URL].http://aws.amazon.com/ec2/ [3]. IBM Blue Cloud project. http://www-ibm.com/press/us/en/pressrelease/22613.wss/. [4]. Global Cloud computing test bed.http://www.hp.com/hpinfo/newsroom/press/2008/080729x a.html/. [5]. http://en.wikipedia.org/wiki/Cloud_computing#cite_note-0 [6]. Lamia Youseff, Maria Butrico, Dilma Da Silva. Toward aUnified Ontology of Cloud Computing. GCE'08, 2008...
|
