IOSR Journal of Computer Engineering (IOSR-JCE)

Nov.- Dec. 2017 Volume 19 - Issue 6

Version 1 Version 2 Version 3 Version 4

Paper Type : Research Paper
Title : A Factual Research of Word Class-Based Features For Natural Language Processing
Country : India
Authors : M.VeeraKumari || Prof.B.Prajna
: 10.9790/0661-1906040106     logo

Abstract: Using word class-based features improves the performance of natural language processing tasks based on factual observation that decline the sum of parameter magnitudes. In this paper, we explore the sequel of the word class-based features focusing on NLU tasks and indicate that the performance improvements could be attributed to the standardize effect of the class-based features. We show that class-based features extracted from different data sources using alternate word clustering methods can individually impart to the performance gain. We analyzed the actual basis of features improve the model accuracy and showed the connection with shrinkage in the model size. Since the proposed features are generated in validation of task independence on different classification and sequence tagging tasks .

Keywords: Natural Language Understanding, Standardize, Sequence Tagging Tasks, Word Class-Based Features.

[1]. P. Xu and R. Sarikaya, "Joint intent detection and slot filling with convo- lutional neural networks," Proc. IEEE ASRU, Olomouc: Czech Republic, 2013, pp. 78–83.
[2]. Asli Celikyilmaz, IEEE, Ruhi Sarikaya, IEEE, Minwoo Jeong, IEEE, and Anoop Deoras, IEEE,"An Empirical Investigation of Word Class-Based Features for Natural Language Understanding".
[3]. A. Deoras and R. Sarikaya, "Deep belief network based semantic taggers for spoken language understanding," Proc. Interspeech, Lyon: France, 2013.
[4]. R. Sarikaya, S. F. Chen, B. Ramabhadran, "Shrinkage based features for natural language call routing," Proc. Interspeech, Florence: Italy, Aug. 2011.
[5]. S. F. Chen, "Shrinking exponential language models," Proc. HLT- NAACL, Boulder: CO, USA, 2009


Paper Type : Research Paper
Title : Video Shot Cut Detection Using Statistical Block Based Method
Country : Turkey
Authors : Zehra Karhan || Musa Faruk Çakır || Mustafa Karhan || Fatih Issı
: 10.9790/0661-1906040711     logo

Abstract: In this study, a method for retrieving desired frame has been proposed in short, plain, fast and without missing part from video.The number of videos is increasing due to increased multimedia tools, social media and advancing technology.It is difficult to retrieve the request because of the increase in numbers.Video shot cut detection is focused to make this a little easier.Fast and accurate determination of video shot cut detection is an important step.As known, the videos consist of frames.Video shot cut detection was determined using the differences between the frames..............

Keywords: shot cut detection, video, block-based, statistic, feature extraction.

[1]. Liu, Fang, and Yi Wan. "Improving the video shot boundary detection using the HSV color space and image subsampling." Advanced
Computational Intelligence (ICACI), Seventh International Conference on. IEEE, 2015.
[2]. Mishra, Ravishankar, S. K. Singhai, and Mukesh Sharma. "Comparative study of block matching algorithm and dual tree complex
wavelet transform for shot detection in videos." Electronic Systems, Signal Processing and Computing Technologies (ICESC),
International Conference on. IEEE, 2014.
[3]. Sowmya, R., and R. Shettar. "Analysis and verification of video summarization using shot boundary detection." Am Int J Res
SciTechnolEng Math 3.1: 82-86, 2013.
[4]. Lu, Zhe-Ming, and Yong Shi. "Fast video shot boundary detection based on SVD and pattern matching." Image Processing, IEEE
Transactions on 22.12: 5136-5145, 2013.
[5]. Zajić, Goran J., Irini S. Reljin, and Branimir D. Reljin. "Video shot boundary detection based on multifractal analisys." Telfor Journal
3.2: 105-110, 2011..


Paper Type : Research Paper
Title : Performance Modeling of Map Reduce Jobs in Heterogeneous Cloud Environments
Country : India.
Authors : H.Shyam Sundhar || Eruguralla Sathish Babu || Bukya Mohanbabu
: 10.9790/0661-1906041218     logo

Abstract: Many companies start using Hadoop for advanced data analytics over large datasets. While a traditional Hadoop cluster deployment assumes a homogeneous cluster, many enterprise clusters are grown incrementally over time, and might have a variety of different servers in the cluster. The nodes' heterogeneity represents an additional challenge for efficient cluster and job management. Due to resource heterogeneity, it is often unclear which resources introduce inefficiency and bottlenecks, and how such a Hadoop cluster should be configured and optimized. In this work1, we explore the efficiency and performance accuracy of the boundsbased performance model for predicting the Map Reduce job completion times in heterogeneous Hadoop clusters. We validate the accuracy of the proposed performance model using a diverse set of 13 realistic applications and two different heterogeneous.........

Keywords:Map Reduce, heterogeneous clusters, performance modeling, efficiency

[1]. F. Ahmad et al. Tarazu: Optimizing MapReduce on heterogeneous clusters. In Proc. of ASPLOS, 2012.
[2]. Apache. Capacity Scheduler Guide, 2010.
[3]. J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. Communications of the ACM, 51(1), 2008.
[4]. H. Herodotou, F. Dong, and S. Babu. No one (cluster) size fits all: Automatic cluster sizing for data-intensive analytics. In Proc. of
ACM Symposium on Cloud Computing, 2011.
[5]. H. Herodotou, H. Lim, G. Luo, N. Borisov, L. Dong, F. Cetin, and S. Babu. Starfish: A Self-tuning System for Big Data Analytics.
In Proc. of 5th Conf. on Innovative Data Systems Research (CIDR), 2011..


Paper Type : Research Paper
Title : A Survey on Types of Question Answering System
Country : India.
Authors : A. Chandra Obula Reddy || Dr. K. Madhavi
: 10.9790/0661-1906041923     logo

Abstract: Search engines like Google and Yahoo! that allow the users to search for documents on the World Wide Web. In Search engines the user has to check each and every document to get useful answer to the question and it is a time consuming process. The Question Answering (QA) system reduces the search time to get exact answer to the question. Question Answering system is an important research area in information retrieval. Research on the area of Question Answering system started in the year 1960 and present lot of Question Answering systems have been developed. Question Answering system combines the research from different domains like Natural Language Processing, Artificial Intelligence, Information Retrieval and Information extraction. The objective of question answering........

Keywords: Information Retrieval, Natural Language Processing, Question Answering System.

[1]. Waheeb Ahmed, Babu Anto P, Arabic Question Answering System Based On Data Mining, International Journal Of Scientific & Technology, 6, 2, February 2017,237-239.
[2]. Nabeel Neamah, Saidah Saad, Question Answering System Using Similarity And Classification Techniques, International Journal of Computer Systems, 03,07, July, 2016,542-548
[3]. Amit Mishra, Sanjay Kumar Jain, A survey on question answering systems with classification, Journal of King Saud University – Computer and Information Sciences , 28, 2016 , 345–361.
[4]. Gursharan Singh Dhanjal, Sukhwinder Sharma, Advancements In Question Answering Systems Towards Indic Languages, International Journal of Research in Computer Science, 5, 1,2015,15-26
[5]. Ajith Kumar, Khillare, Namrata Mahender, Question Answering System, Approaches and Techniques: A Review, International Journal of Computer Applications, 141, 3, May 2016, 34-39.


Paper Type : Research Paper
Title : Energy minimization of protein structure using homology modeling and Particle Swarm Optimization with Dynamic Inertia Weights
Country : India.
Authors : Yogendra Singh Kushwah || R K Shrivastava
: 10.9790/0661-1906042431     logo

Abstract: Energy minimization in Bio-molecular system is an intensive application in Protein Structure Prediction (PSP). Traditional methods for reducing energy such as The Conjugate gradient method and Steepest descent method converge only local energy minima which ara highly reliant on set the parameter for calculation in initial stage. In this paper we put forward a modified PSO (DIWPSO) with control parameter D which choose best Inertia Weight strategies for energy minimization in homologous protein structure, among four best Inertia weight strategies. The proposed approach (DIWPSO) significantly improvement to search deeper energy minima and find out global energy minimum. It is found that in result analysis, proposed algorithm gives better result with regard to rate of.........

Keywords: Particle swarm optimization, Inertia weight strategies, Protein Structure, Energy Minimization, Hybridization, Convergence

[1]. R. Eberhart and J. Kennedy. A new optimizer using particle swarm theory. In Micro Machine and Human Science, 1995. MHS'95.,Proceedings of the Sixth International Symposium on, pages 39–43. Ieee, 1995.
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[3]. JC Bansal, PK Singh, Mukesh Saraswat, Abhishek Verma, Shimpi Singh Jadon, and Ajith Abraham. Inertia weight strategies in particle swarm optimization. In Nature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on, pages 633–640. IEEE, 2011.
[4]. M. H. Hao and H. A. Scheraga. How optimization of potential functions affects protein folding. Proceedings of the National Academy of Sciences, National Academy of Sciences Publication, 93(10):4984– 4989, 1996.
[5]. K. Koretke, Z. Luthey, and P. G. Wolynes. Self-consistently optimized energy functions for protein structure prediction by molecular dynamics. Proceedings of the National Academy of Sciences, National Academy of Sciences Publication, 95(6):2932–2937, 1998...


Paper Type : Research Paper
Title : Approach Object Oriented Data Modeling
Country : Saudi Arabia.
Authors : Loie Naser Mahmoud Nimrawi
: 10.9790/0661-1906043237     logo

Abstract: In This section explains some basic concepts such as Object-oriented programming, objects, database system, and object-oriented database. Also there is some explanations of the basic object-oriented modeling .

Keywords: complex objects, object identity, classes, attributes, behaviors, encapsulation, inheritance, overriding behaviors, late binding, and naming

[1] Database Management Systems Revisited, An Updated DACS State-of-the-Art Report. Prepared by: Gregory McFarland, Andres Rudmik, and David Lange Modus Operandi, Inc, 1999.
[2] Cattell, R.G.G., Object Data Management: Object-Oriented and Extended Relational Database Systems. Massachusetts: Addison-Wesley, 1997.
[3] C. J DATE An Introduction to Database System – 7th ed, Addison Wesley, 2005.
[4] Database System Manifesto "Malcolm Atkinson" http://www.cs.cmu. edu/People/clamen/OODBMS/Manifesto/htManifesto/Manifesto.html
[5] Elisa Bertino and Lorenzo: Object Database Systems: Concepts and Architectures. Reading, Mass.: Addison-wesley (1993)..


Paper Type : Research Paper
Title : A Survey on Advanced Methods in Computer vision And Pattern Recognition for Soft Tissue Image Processing
Country : India
Authors : Mrs. Smitha P || Dr.Nanjraj || Dr. Savithri Bhat || Dr. Meera A
: 10.9790/0661-1906043844     logo

Abstract: Automated Medical image Analysis is a most challenging interdisciplinary research field. From past decades enormous research work is ongoing in the field of Computer vision and Pattern Recognition [PR] for the development robust algorithms for computerized diagnosis. The advanced computational intelligence based algorithms has a significant potential for faster and accurate clinical diagnosis, surgical planning and have paved the way for a new digital era of Quantitative analysis. Computerized clinical diagnosis methods also has substantial implications for improved clinical care, provide diagnostic second opinions, prognosis especially for Medical Professionals practicing in rural areas. With an increasing research on better algorithms for quantitative analysis, it is important.........

Keywords: Deeplearning, Convolutional Neural Network, Active contour,Texture Analysis naming

[1]. Barbu, Tudor. "Automatic Moment-Based Texture Segmentation."Development 11848 (2013): 9996878.
[2]. C. Xu and J. L. Prince, "Snakes, shapes, and gradient vector flow".IEEE Transactions on Image Processing, vol. 7, no. 3, pp. 359–369, 1998. [Online; accessed 3-February-2011]
[3]. Dettori, Lucia, Alia Bashir, and Julie Hasemann. "Texture classification of normal tissues in computed tomography using Gabor filters." Medical Imaging. International Society for Optics and Photonics, 2007.
[4]. Drakopoulos, Kimon, and Petros Maragos. "Active contours on graphs: Multiscale morphology and graphcuts."IEEE Journal of Selected Topics in Signal Processing 6.7 (2012): 780-794.
[5]. Dvořák P, Bartušek K, Kropatsch WG, Smékal Z. Automated Multi-Contrast Brain Pathological Area Extraction from 2D MR Images. Journal of applied research and technology. 2015 Feb 28;13(1):58-69...


Paper Type : Research Paper
Title : Extending Incident Reporting System For Patient Health Care And Safety In A Rural Areas –A Case Study Of abwa, Saudi Arabia
Country : Saudi Arabia
Authors : Arshad Hashmi || Ahmad Abdullah Alzahrani
: 10.9790/0661-1906044555     logo

Abstract: This system is based on integration of web technology and wearable sensor technology that provide a web interface between the doctor and the patient for communication. This system is very helpful in diagnosing and treating the patient online and can solve the issue to a great extent for the people living in rural areas. The doctor receives an alert message once any incident is uploaded. In addition this system will help the user for searching the specialist doctor, making an appointment and follow up electronically. The patient history can be retrieved easily. A case study about incident reporting in rural areas is incorporated. User can manage and take care of sufferers related to common problems as well as age-related diseases such as diabetes, heart disease etc. in the rural areas. This will save.......

Keywords: Wearable sensor, online diagnosis, Remote areas, ASP.Net, C#, SQL Server, JQuery, CSS and Ajax.

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Paper Type : Research Paper
Title : Utlp Based Automatic Toll Tax Collection System Using Rfid Technology
Country : India
Authors : Venkatesh Prasad.R || Vasanthakumar.S || S.Visalaxi
: 10.9790/0661-1906045659     logo

Abstract: As the world is moving towards automation, in order to fit on the same page, UTLP based automatic toll tax collection system using RFID technology have been developed. The problems faced in the current scenario are, the total work is being carried out manually, the amount of time spent in the toll by a traveller is comparatively more, the digital payments are not involved in the system. To tackle these issues, we have developed a system which makes everything simpler by incorporating the RFID technology in ULK kit. The proposed system can be operated without a man power and makes the system to work faster and in an efficient manner. The main challenge in this system is that, every vehicle should be fitted with a RFID tag which is quite complex to implement in a large scale.

Keywords: Automation, RFID, ULK,UTLP.

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