iosr-JCE   Volume-18 ~ Issue-5 ~ Sep-Oct 2016

Abstract: In today's life wireless network is being used everywhere in homes, offices, Universities, Shopping malls and as a hot spot etc. Due to its diversification and development, it is affecting the throughput and hence the quality of service. .The aim of this paper is to provide the survey of QOS mechanism used by the previous researchers and also the open challenges are discussed based on their Research Articles. Finally, we also discuss future trends and the scenarios for the wireless network, and also highlighted the key issues that must still be addressed, like contention aware transmission, power requirements etc , for the performance of the wireless network and to improve the Quality of service..........

Keyword: MAC, QOS, Throughput, Power Saving Requirements, Wireless Network.

[1]. Dr. Jyotsna Sengupta, Er. Gurpreet Singh Grewal, "Performance evaluation of IEEE 802.11 MAC layer in supporting delay sensitive services", International journal of wireless & Mobile Network (IJWMN),Vol .2, No .1,Febrauary 2010.
[2]. Sandeep Kaur, Dr. Jyotsna Sengupta , " Performance Evaluation of IEEE 802.11e", International Journal of Computer Science & technology, Vol. 2, Issue 4, oct - Dec. 2011,pp.39-44.
[3]. H. Zhu, M. Li, I. Chlamtac, B. Prabhakaran, "A survey of quality of service in IEEE , " A survey in quality of service in IEEE 802.11e", Wireless Communication Magazine
[4]. Saurabh Sehrawat, Revoti Prasad Bora, Dheeraj Harihar "Performance Analysis of QoS supported by Enhanced Distributed Channel Access (EDCA) mechanism in IEEE 802.11e", IAENG International Journal of Computer Science, 33:1, IJCS_33_1_6,Febuary 2007.
[5]. Sunghyun Choi, Javier del Prado, Sai Shankar N, Stefan Mangold," IEEE 802.11e Contention-Based Channel Access (EDCF)Performance Evaluation" IEEE Magazine

Abstract: Ethiopian government undertakes plans to develop massive hydropower potential with the construction of a large scale Grand Ethiopian Renaissance Dam (GERD) upstream of the Ethiopian-Sudan border in an effort to utilize the water resources potential, improve the water and energy security in order to reduce poverty, create an atmosphere for social change and bring economic growth to the country.The Analytic Hierarchy Process (AHP) is one of the most widely used multi-criteria decision analysis in water resources management and energy planning..........

Keyword: Analytic Hierarchy Process; dam impacts; decision support systems; environmental impacts; GERD; Nile River; water management

[1]. Ahmed, A. T. and Elsanabary, M. H. (2015), Hydrological and environmental impacts of grand Ethiopian renaissance dam on the Nile river, Eighteenth International Water Technology Conference, IWTC18, SharmElSheikh, pp. 12-14.
[2]. Ahram online (2013). Egypt presidency issues summary of tripartite report on Ethiopia dam. Ahram online, p. 2. Retrieved fromhttp://english.ahram.org.eg/NewsContentPrint/1/0/73064/Egypt/0/Egypt-presidency-issuessummary-of-tripartite-repo.aspx
[3]. African Development Bank Group (ADBG) (2010), Environmental and Social Impact Assessment Summary, Electricity Transmission System Improvement project, P-ET-FAO-008, Ethiopia.
[4]. Albayrak, M. (2004), "Using Analytic Hierarchy Process to Improve Human Performance: An Application of Multiple Criteria Decision Making Problem‟, Journal of Intelligent Manufacturing, Vol. 15, No. 4, pp. 491-503.
[5]. Batisha, A. F. (2013), "Sustainable Water Cooperation in the Nile River Basin: Problems and Prospects", International Journal of Sustainability, Vol. 2, No. 1, pp. 39-53.

Abstract: Security is an important factor, since many digital images are transmitted through internet, which contains secret information. Symmetric and Asymmetric methods are two types of cryptographic techniques used to encrypt and decrypt the confidential data. Conventional encryption technique is one of the methods used to transmit secret image which has a drawback of maintaining the secret key. Image splitting is another technique used, in which secret image is divided into different share images. Individual share does not reveal any information about the secret..........

Keyword: Decryption, Encryption, Visual Cryptography

[1]. M. Naor and A. Shamir, "Visual Cryptography", Proceedings of Euro Crypt 1994
[2]. Zhi Zhou, Gonzalo R. Arce, Giovanni Di Crescenzo, "Halftone Visual Cryptography", IEEE Transaction on Image Processing, Vol. 15, No.8, August 2006
[3]. Bin Yu, Liguo Fang, XiaohuiXu, " A Verifiable Visual cryptography scheme", International Conference on Computational Intelligence and Security", 2008, pp. 347-350
[4]. Debasish Jena, Sanjay Kumar Jena, "A Novel Visual Cryptography Scheme", International Conference on Advanced Computer Control, IEEE 2008
[5]. Ran-Zan Wang, " Region Incrementing Visual Cryptography"., IEEE Signal Processing letters, Vol. 16, No. 8, August 2009

Abstract: Recent research works have focused on detection of Parkinson's disease using several machine learning techniques. Accurate separation of normal persons in the subjects under consideration from the persons being affected by Parkinson's disease is a challenging job. In the present work Neural Network (NN) has been trained using Particle Swarm Optimization (PSO employed to detect persons being affected with Parkinson's disease. The initial weight vector to the input layer of the NN has been optimized gradually using the optimization techniques to enhance the performance of NN to a greater extent..........

Keyword: Parkinson's Disease; Particle Swarm Optimization; ANN; MLP-FFN; Gradient Descent

[1]. Max A. Little, Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease, IEEE Transactions on Biomedical Engineering, Vol. 56, No. 4, April 2009.
[2]. A.Khemphila, V. Boonjing, Parkinsons Disease Classification using Neural Network and Feature selection, World Academy of Science, Engineering and Technology 64, 15-18, 2012.
[3]. A. David Gil, B. M. Johnson, Diagnosing Parkinson by using Artificial Neural Networks and Support Vector Machines, Global Journal of Computer Science and Technology, pp. 63-71.
[4]. M. F. Caglar, B. Cetisli, I. B. Toprak, Automatic Recognition of Parkinson's Disease from Sustained Phonation Tests Using ANN and Adaptive Neuro-Fuzzy Classifier, Journal of Engineering Science and Design, Vol.1 No.2 pp.59-64, 2010.
[5]. Y. Delican, L. Ozilmaz, T. Yildirim, Evolutionary Algorithms Based RBF Neural Networks For Parkinson s Disease Diagnosis, ELECO 2011 7th International Conference on Electrical and Electronics Engineering, 290-294, December 2011, Bursa, Turkey

Abstract: Automatic labeling and classification of a vast number of images is a huge challenge, so machines are used as a part of image classification and annotation is turned into a prerequisite to adapt to the high improvement of advanced digital image innovations consistently. Scale Invariant Feature Transform (SIFT) is an image descriptor for image-based matching and recognition; this descriptor is used for computer vision purposes like point-matching between different views and object recognition in the same view. SIFT features are regarded as an efficient way for image classification due to its usefulness demonstration under real-world conditions. Also, representing these features in bag-of-words (BOW) model and spatial pyramid model adds the ability to distinguish spatial distribution to the former.

Keyword: SIFT Features, Bag of words, Spatial Pyramid Description, Classification, Multi-SVM

[1]. Olson, David L., Delen, Dursun, Advanced Data Mining Techniques, XII, Springer Publications, 2008.
[2]. Han, Jiawei, MichelineKamber, and Jian Pei. Data mining: concepts and techniques. Elsevier, 2011.
[3]. Li Xirong, SnoekCees, Worring Marcel, "Learning Social Tag Relevance By neighbor voting", IEEE TRANSCATION MM, 11(7):1310-1322, 2009.

Abstract: The current social networking services suggests friends based on the respective individual's network. This may not be the perfect way to recommend friends to respective user as friend suggestion should be more over focused on the real life friend selection style. In this paper, we present Friend Recommendation system for social networks, which recommends friends to users based on their life styles instead of social graphs. In Friend Recommendation system we discovers life styles of users from user-centric data, measures the similarity of life styles between users, and recommends friends to users if their life styles have high similarity. Inspired by text mining, we model a user's daily life as life documents..........

Keyword: Author Guide, Article, Camera-Ready Format, Paper Specifications, Paper Submission

[1]. K. Farrahi and D. Gatica-Perez. Probabilistic mining of sociogeographic routines from mobile phone data. Selected Topics in Signal Processing, IEEE Journal of, 4(4):746-755, 2010.
[2]. K. Farrahi and D. Gatica-Perez. Discovering Routines from Largescale Human Locations using Probabilistic Topic Models. ACM Transactions on Intelligent Systems and Technology (TIST), 2(1), 2011.
[3]. W. H. Hsu, A. King, M. Paradesi, T. Pydimarri, and T. Weninger. Collaborative and structural recommendation of friends using weblog-based social network analysis. Proc. of AAAI Spring Symposium Series, 2006.
[4]. N. Eagle and A. S. Pentland. Reality Mining: Sensing Complex Cocial Systems. Personal Ubiquitous Computing, 10(4):255-268, March 2006.

Abstract: The Data Integration platform is a Web based Application which allows Business users or users with minimal knowledge of Data Blending/Mining to integrate multiple master and transactional source systems to a staging area and data-marts to suffice the BI & Analytics needs of an organization. Data from heterogeneous sources in structured & semi-structured form are cleaned and aggregated depending upon specific business metrics and then stored into Hive/HBase (Databases of Hadoop ecosystem).........

Keyword: Self-Service Data Integration, Hadoop based Analytics, Business Intelligence, SQOOP ETL, Flume ETL, Web-based Data Integration Platform.

[1] Patrick Mader, Jane Cleland-Huang, "From Raw Project Data to Business Intelligence", IEEE Software, vol. 32, no. , pp. 22-25, July-Aug. 2015, doi:10.1109/MS.2015.92
[2] Shweta Malhotra, M. N Doja, Bashir Alam, and Mansaf Alam, Data integration of cloud-based and relational databases, 2015 IEEE International Conference, Electronic ISBN: 978-1-4673-6792-9, DOI: 10.1109/ICSCTI.2015.7489542. [3] Yi Shen, Shengsheng Shi, Haitao Wang, Wu Wei, Chunfeng Yuan, and Yihua Huang, Parallel Approach and Platform for Large-scale Web Data Extraction, 2013 IEEE International Conference, Electronic ISBN: 978-1-4799-3261-0, DOI: 10.1109/CBD.2013.24.
[4] Niall Gaffney, Christopher Jordan, Tommy Minyard, and Dan Stanzione, Building Wrangler: A transformational data intensive resource for the open science community, 2014 IEEE International Conference, Electronic ISBN: 978-1-4799-5666-1, DOI: 10.1109/BigData.2014.7004480. [5] Liutong Xu, Kai Jin, and Hongqiao Tian, MRData: A MapReduce-based Tool for Heterogeneous Data Integration, 2010 IEEE International Conference, Electronic ISBN: 978-1-4244-7670-1, DOI: 10.1109/ISME.2010.252.

Abstract: With the Internet and data growth increasing trends, big data is becoming an extremely important and challenging problem for Data Centers. Many platforms and frameworks are working to bring a cutting edge technology to this problem. Apache Hadoop is a software framework addressing the big-data processing and storing on clusters, providing reliability, scala-bility and distributed computing. Hadoop has a distributed file system to store vast amount of data in distributed environments, and uses Map reduce algorithm to perform the computations and process large amount of data, by parallelizing the workload and storage. In comparison to other relational database systems, Hadoop works well with unstructured data. Our work is focused on performance evaluation of benchmarks of Hadoop, which are crucial for testing the infrastructure of the clusters..........

Keyword: Hadoop; Big data; Benchmark; Distributed file system

[1] C. V. N. Index, "Forecast and methodology, 2014-2019 white paper," Retrieved 23rd September, 2015.
[2] P. Zikopoulos, C. Eaton et al., Understanding big data: Analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media, 2011.
[3] J. Dittrich and J.-A. Quiane´-Ruiz, "Efficient big data processing in hadoop mapreduce," Proceedings of the VLDB Endowment, vol. 5, no. 12, pp. 2014–2015, 2012.
[4] T. Hey, S. Tansley, K. M. Tolle et al., The fourth paradigm: data-intensive scientific discovery. Microsoft research Redmond, WA, 2009, vol. 1.
[5] H. Liao, J. Han, and J. Fang, "Multi-dimensional index on hadoop distributed file system," in Networking, Architecture and Storage (NAS), 2010 IEEE Fifth International Conference on. IEEE, 2010, pp. 240– 249.

Abstract: Computer Vision along with Image processing is one of the most interesting and rapidly developing fields in computer science. It has many applications like face detection and recognition, character recognition, finger print matching, body imaging etc. One of the main application areas in image processing methods is to extract the pictorial information for human body interpretation. Body imaging is the method of generating 3D body data of a subject. This process involves receiving one or more images of the subject from a digital imaging device (Cameras in Smart phones..........

Keyword: 3D Modeling, Body Imaging, Image recognition, Digital Measurement, Image Processing

[1]. Takao Furukawa, Jin Gu, WonSook Lee, Nadia Magnenat-Thalmann, 3D Clothes Modeling from Photo Cloned Human Body,
[2]. Xiaoning Jing, Xiaojiu Li, Xiaojie Li, Edge Extraction for Human Body Images based on ACAFCM Algorithm, JOURNAL OF SOFTWARE, VOL. 9, NO. 4, APRIL 2014
[3]. Zhenglong Zhou, Bo Shu, Shaojie Zhuo, Xiaoming Deng, Ping Tan, Stephen Lin, Image-based Clothes Animation for Virtual Fitting
[4]. Belongie, S., Carson, C., Greenspan, H., and Malik, J."Color- and Texture-Based Image Segmentation Using EM and Its Application to Content-Based Image Retrieval," Proc. ICCV98 (1998) 675-682
[5]. Canny, J., A Computational Approach to Edge Detection, IEEE Trans. PAMI, 8 (1986) 679-698

Abstract: Text information in natural scene images is important for various kinds of applications. In this paper a novel method proposed to detect Devanagari text from visual components. Detecting text information from images plays an important role in a variety of applications such as image retrieval with text information, intelligent driving assistance, reading application for visually impaired people and visual component analysis, etc. Consequently, the research of text detection in scene images has received much attention from the computer vision community..........

Keyword: Text localization, Text detection, OCR, Segmentation

[1] Koo, HyungIl, and Duck Hoon Kim. "Scene text detection via connected component clustering and nontext filtering." Image Processing, IEEE Transactions on 22.6 (2013): 2296-2305.
[2] Zhang, Honggang, et al. "Text extraction from natural scene image: A survey."Neurocomputing 122 (2013): 310-323.
[3] Wang, Kai, Boris Babenko, and Serge Belongie. "End-to-end scene text recognition." Computer Vision (ICCV), 2011 IEEE International Conference on. IEEE, 2011.
[4] Weinman, Jerod J., Erik Learned-Miller, and Allen R. Hanson. "Scene text recognition using similarity and a lexicon with sparse belief propagation."Pattern Analysis and Machine Intelligence, IEEE Transactions on 31.10 (2009): 1733-1746.
[5] Shi, Cunzhao, et al. "Scene text detection using graph model built upon maximally stable extremal regions." Pattern Recognition Letters 34.2 (2013): 107-116.

Abstract: Taking the advantages of the capabilities offered by cloud computing requires either an application to be built especially for it, or for existing application to migrated to it. The main focus on migrate the application data with speedily and accurately. Migrating data to the cloud creates a series of technical, architectural and legal challenges which resolved by using following algorithms. Organize such efforts into a set of migration schemes and connect them with a list of reusable solution for application data migration in form of packets. At last, define an application data migration methodology and demonstrate how it can be used in practice.

Keyword: Cloud Computing, Data Migration, RSA Encryption and ACO Algorithm.

[1]. Shen, Qingni, et al. "SecDM: Securing data migration between cloud storage systems." Dependable, Autonomic and Secure Computing (DASC), 2011 IEEE Ninth International Conference on. IEEE, 2011.

[2]. Kari, Chadi, Yoo-Ah Kim, and Alexander Russell. "Data migration in heterogeneous storage systems." Distributed Computing Systems (ICDCS), 2011 31st International Conference on. IEEE, 2011.

[3]. Chai, Yunpeng, et al. "Efficient data migration to conserve energy in streaming media storage systems." Parallel and Distributed Systems, IEEE Transactions on 23.11 (2012): 2081-2093.

[4]. Liu, Hui, and Shengqi Wu. "Data storage schema upgrade via metadata evolution in SaaS." Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on. IEEE, 2012.

[5]. Du, Yanling, et al. "Study of migration model based on the massive marine data hybrid cloud storage." Agro-Geoinformatics(Agro-Geoinformatics), 2012 First International Conference on. IEEE, 2012.

Abstract: In preparing the schedule of course not an easy job. There are several aspects that influence in the preparation of schedules of courses that professors, students, courses, lecture rooms, and a time slot. Each of these aspects has a state that can be a problem and a conflict in scheduling courses. For example, the problems facing aspect lecturers are lecturers conflict is a lecturer teaches courses scheduled at two different locations at a time. Or from the aspect of students, the problem is the number of classes per generation. In addition to these problems, there are many more potential problems that can arise from each of these aspects. A decision support system needed a model settlement of the problems encountered...........

Keyword: Artificial Intelligent, A*, Heuristic, Scheduling

[1]. M. U. Siregar, "A New Approach to CPU Scheduling Algorithm: Genetic Round Robin," International Journal of Computer Applications, vol. 47, no. 19, pp. 18-25, 2012.
[2]. Y. Li dan Y. Chen, "A Genetic Algorithm for Job-Shop Scheduling," Journal of Software, vol. 5, no. 3, pp. 269-273, 2010.
[3]. A. P. U. Siahaan, "Adjustable Knapsack in Travelling Salesman Problem," International Journal of Science & Technoledge, vol. 4, no. 9, 2016.
[4]. A. P. U. Siahaan, "Comparison Analysis of CPU Scheduling FCFS, SJF and Round Robin," International Journal of Engineering Development and Research, vol. 4, no. 3, pp. 124-132, 20 November 2016.
[5]. U. Aickelin dan K. A. Dowsland, "An Indirect Genetic Algorithm for a Nurse Scheduling Problem," Computers & Operations Research, vol. 31, no. 5, pp. 761-778, 2004.

Abstract: The application of genetic algorithms for optimal cutting panes of glass and the profiles for joinery work is introduced. A combined GA is used as a probabilistic approach in the search of quasi-optimal solutions. The performed research show that the usage of these algorithms significantly reduces the unutilized material, the cutting time is decreased and also that there is a significant economic effect. The usage of described system will contribute for decreasing of the price, materials and time for design of joinery work

Keyword: Genetic algorithms, optimization, random search, selection, crossover, mutation, profiles, glass, joinery work

[1] V. V. E m e l y a n o v, V. M. K u r e y c h i k, V. V. K u r e y c h i k, Theory and Practice of Evolutionary Modeling, Moscow,
2003, (in Russian).
[2] G o l d b e r g, D .E ., Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company,
Reading, Massachusetts, 1989.
[3] E. Falkenauer, Genetic Algorithms and Grouping Problems, John Wiley &Sons, Chichester, U.K., 1998.
[4] M. M i t c h e l l, An Introduction to Genetic Algorithms, MA: MIT Press, 1996.
[5] D. G o l d b e r g, Web Courses, http://www.engr.uiuc.edu/OCCE, 2000.

Abstract: The optimal planning of details mechanical processing is a key problem, directly affecting the productivity and efficiency of the activity of a machine building company. The combinatorial character of the problems, connected with schedules creating, requires the formulation and solution of a corresponding optimization problem. The paper considers the problem of defining the optimal time sharing of corpus details processing for М500 metal processing machine. Some optimization problems, corresponding to two technologic processing sequences, have been formulated and solved in the paper presented. The results of the digital experiments are shown and the corresponding production schedules are presented

Keyword: Production scheduling, linear programming optimization, CNC metalworking machines

[1] D. Borissova, I. Mustakerov, Open job shop scheduling via enumerative combinatorics. Int. Journal of Mathematical Models and Methods in Applied Sciences, ISSN: 1998-0140, Vol. 9, 2015, pp. 120-127, http://www.naun.org/main/NAUN/ijmmas/2015/a 282001-033.pdf
[2] B. Scholz-Reiter, Rekersbrink H, Goerges M (2010) Dynamic Flexible Flow Shop Problems—Scheduling Heuristics vs. Autonomous Control. CIRP Annals-Manufacturing Technology 59(1), 2010, pp. 465–468
[3] Y. Nonaka, Erdos G, Kis T, Nakano T, Vancza J (2012) Scheduling with Alternative Routings in CNC Workshops. CIRP Annals-Manufacturing Technology, 2012
[4] L. L. Liu,.Zhao, G. P., Ou΄Yang, S. S., & Yang, Y. J. (2011). Integrating theory of constraints and particle swarm optimization in order planning and scheduling for machine tool production. International Journal of Advanced Manufacturing Technolog y, 57 (1-4), 2011, pp.285-296. http://dx.doi.org/10.1007/s00170-011-3294-6

Abstract: One of the principle parts of burrowing in urban territories is controlling the measure of settlement
that may make some harm the structures and frameworks. In this paper, the novel dislodging checking
framework called Global Positioning System - Global Navigation Satellite System (GPS-GNSS) has been
applied to screen the structure uprooting .One of the most significant highlights of this methodology is that this
framework gives three dimensional relocation conduct of the structure. Plus, so as to satisfy the reason for
precision, the measure of settlement actuated.......

Keywords: Settlement; Geotechnical Properties; Tabriz Subway; GPS-GNSS Displacement Monitoring System; Back Analysis

[1] Ercelebi, S. G., H. Copur, and I. Ocak. "Surface settlement predictions for Istanbul Metro tunnels excavated by EPB-TBM."
Environmental Earth Sciences 62, no. 2 (2011): 357-365.
[2] Park, Kyung-Ho. "Analytical solution for tunnelling-induced ground movement in clays." Tunnelling and Underground Space
Technology 20, no. 3 (2005): 249-261.
[3] Möller, S. C., and P. A. Vermeer. "On numerical simulation of tunnel installation." Tunnelling and Underground Space Technology
23, no. 4 (2008): 461-475.
[4] Strokova, L. A. "Methods of estimating surface settlement during driving of urban tunnels." Soil Mechanics and Foundation
Engineering 47, no. 3 (2010): 92-95.
[5] Shimizu, N., S. Tayama, H. Hirano, and T. Iwasaki. "Monitoring the ground stability of highway tunnels constructed in a landslide
area using a web-based GPS displacement monitoring system." Tunnelling and Underground Space Technology 21, no. 3 (2006):
266-267.

Abstract: Development industry is a significant supporter of the financial improvement of the nation.
Considerably under adequate extension, the endurance of the development association is a troublesome
undertaking. Tending to the determination of reasonable task, which fulfills the current status and the future
development is a significant test for temporary worker. The plan such methodology by and large incorporates
the result of past understanding of offering, the current remaining burden, requirement for the work, scope for
future extension, kind of undertaking, agreement, customer, and hazard included and so forth. In this
examination, the significant spotlight is on assortment of for all intents and purposes embraced factors other
than the hypothetical and those variables which are recorded by the past looks into. Here enormous contracting
associations area from India was considered for the investigation. Subjective information was gathered through
organized meeting of specialists. The investigation......

Key words: Bid decision; Indian Construction Industry; Descriptive Text Analysis; Qualitative analysis; Bid selection.

[1] Drew, D., M. Skitmore, and H.P. Lo, The effect of client and type and size of construction work on a contractor's bidding strategy.
Building and Environment, 2001. 36(3): p. 393-406.[2] Fu, W.K., D.S. Drew, and H.P. Lo, Competitiveness of Inexperienced and Experienced Contractors in Bidding. Journal of
Construction Engineering and Management, 2003. 129(4): p. 388-395.
[3] Bagies, A. and C. Fortune. Bid/no-bid decision modelling for construction projects.
[4] Lu, W., L. Shen, and M.C. Yam, Critical success factors for competitiveness of contractors: China study. Journal of construction
engineering and management, 2008. 134(12): p. 972-982.
[5] Deng, F., G. Liu, and Z. Jin, Factors formulating the competitiveness of the Chinese construction industry: Empirical investigation.
Journal of Management in Engineering, 2012. 29(4): p. 435-445.

Abstract: In the current paper, the impact of establishment nonlinearity on the seismic reaction of a current
curve dam is explored. Luzzone curve dam in Switzerland is chosen as a contextual analysis. The establishment
nonlinearity is begun from opening/slipping of joints between a potential wedge at the left projection and
remaining establishment. Store's water is accepted compressible and the coupled framework is understood at
the same time. Additionally, the establishment is expected massed medium by means of gooey limit on the farend
shortened limit. Two cases are considered in the investigations; the framework applying store pressure on
the establishment; the framework with......

Keywords: Concrete Arch Dam; Foundation Nonlinearity; Massed Foundation; Seismic Analyses.

[1] Londe, P. The Malpasset dam failure. Engineering Geology 24.1 (1987): 295-329.
[2] Wittke, W., and G. A. Leonards. Modified hypothesis for failure of the Malpasset Dam. Engineering Geology24.1 (1987): 407 -
421.
[3] Kottenstette, J. T. Block theory techniques used in arch dam foundation stability analysis. International Journal of Rock Mechanics
and Mining Sciences 34.3 (1997): 163-e1.
[4] Jun-rui, C. H. A. I. Review on Dynamic Stability Analysis of Rock Mass in High Arch Dam Abutment. Journal of Liaoning
Technical University (Natural Science Edition) 4 (2001): 042.
[5] Londe, P., Analysis of the stability of rock slopes. Quarterly Journal of Hydrogeology 6, 93-124 (1973).