This paper presented a technique to organize the digitized map of a very large area, using a flat-file system (without using databases); depicting necessary and useful information regarding land usage of the area,which can also be viewed as a land-type-data bank, where all the necessary information regarding the typeof the land, owner etc. are kept. While associating data with each individual region, a priority value is also incorporated, where a lower value of priority signifies, higher possibility of the land to be selected for acquisition. As per needs to acquire lands for the construction of new utility services such as railway tracks, roads etc., the technique, upon input the source and the destination location, suggests the most
suitable path, in terms of optimal costs, which is dependent on the parameters like compensation needed topay during land acquisition (compensation amount increases, for acquiring more fertile lands), the length of the path etc. The suggested optimal path is presented onto the map graphically assisting the engineers involved in the work for proper implementation and utilisation of the land.
Also known as geospatial data or geographic information it is the data or information that identifies the geographic location of features and boundaries on Earth, such as natural or constructed features, oceans, and more. Spatial data is usually stored as coordinates and topology, and is data that can be mapped.
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
Also known as geospatial data or geographic information it is the data or information that identifies the geographic location of features and boundaries on Earth, such as natural or constructed features, oceans, and more. Spatial data is usually stored as coordinates and topology, and is data that can be mapped.
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
Data models are a set of rules and/or constructs used to describe and represent aspects of the real world in a computer. GIS can handle four data models for various applications. This module explains those four.
Data Input and Geometric transformation:
Existing GIS data, Metadata, Conversion of existing data, Creating new
data, Geometric transformation, RMS error and its interpretation,
Resampling of pixel values.
Spatial Data Concepts:
Introduction to GIS, Geographically referenced data, Geographic, projected
and planer coordinate system, Map projections, Plane coordinate systems,
Vector data model, Raster data model
basic concept of geographic data,GIS and its component,data acquisition ,raster, vector formats,spatial data,topology and data model data output ,GIS applications
IJRET-V1I1P3 - Remotely Sensed Images in using Automatic Road Map CompilationISAR Publications
High Resolution satellite Imagery is an important source for road network extraction for
roads database creation, refinement and updating. Various sources of imagery are known for their
differences in spectral, spatial, radioactive and temporal characteristics and thus are suitable for
different purposes of vegetation mapping. A number of shape descriptors are computed to reduce
the misclassification between road and other spectrally similar objects. The detected road segments
are further refined using morphological operations to form final road network, which is then
evaluated for its completeness, correctness and quality. The proposed methodology has been tested
on updating on road extraction from remotely-sensed imagery.
Topics:
1. Introduction to GIS
2. Components of GIS
3. Types of Data
4. Spatial Data
5. Non-Spatial Data
6. GIS Operations
7. Coordinate Systems
8. Datum
9. Map Projections
10. Raster Data Compression Techniques
11. GIS Software
12. Free GIS Data Resources
Land Use Growth Simulation and Optimization for Achieving a Sustainable Urban...TELKOMNIKA JOURNAL
Urban areas have been perceived as the source of environmental problems. To avoid improper land use allocation, negative sprawl effects, and other sources of environmental degradation, city planners need tools for simulating and optimizing their proposed plans. This study proposed a “what-if” analysis model that could help the planners in assessing and simulating their urban plans in Bekasi City, Indonesia. As part of Jakarta Metropolitan Area which exhibited a “post-suburbanization” phenomenon, this city faces many problems because of its high urban growth. Since the urban area has higher land use density than the rural area, especially on built-up class, it needs more consideration when allocating this kind of land use. Because each type of built-up class influences another type, it is difficult to allocate manually. Therefore, this study proposed a land-use optimization application to help planners finding the appropriate land use. This study showed that a model with simulation and optimization can be used to handle urban growth.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A mathematical formulation of urban zoning selection criteria in a distribute...eSAT Journals
Abstract
Distributed Service Network is a wide term related to distribution and travelling i.e. distribution of resource among facilities located at various locations and travelling of resource along a distributed network. Policy making problems in distributed service networks can be clearly classified into a number of hierarchical levels. The levels are distinguished by time horizon of the problem, by amount of cost involved in the implementation of a solution, and by the political implications of the solution. In the public sector, it includes ambulance, fire, police and other services. In the private sector courier, taxi, repair, maintenance and the like are considered to be distributed service network.
In this paper an attempt has been made to obtain a mathematical model by which a network can be partitioned into subnetworks in a Distributed Service Network. The constraints like demand equity, contiguity, compactness, enclaves etc. are applied for Zoning.
Keywords: Zoning, Contiguity, subnetwork, Compactness, Enclave.
Surveying for Civil engineering is a
particular type of surveying known as "land surveying", it is the
detailed study or inspection, as by gathering information through
observations, measurements in the field, questionnaires, or
research of legal instruments, and data analysis in the support of
planning, designing, and establishing of property boundaries.
Land surveying can include associated services such as mapping
and related data accumulation, construction layout surveys,
precision measurements of length, angle, elevation, area, and
volume, as well as horizontal and vertical control surveys, and
the analysis and utilization of land survey data. Surveyors use
various tools to do their work successfully and accurately, such
as total stations, robotic total stations, GPS receivers, prisms, 3D
scanners, radio communicators, handheld tablets, digital levels,
and surveying software.
Survey data can be directly entered into a GIS from digital
data collection systems on survey instruments. When data is
captured, the user should consider if the data should be captured
with either a relative accuracy or absolute accuracy, since this
could not only influence how information will be interpreted but
also the cost of data captured.
In this paper GIS maps were developed depending on the
field surveying data made for a two traverses. First one has ribs
less than 50m length and the other larger than 50m. Each
traverse is holding five times using five equipments and
instruments: Tape, Level, Digital level, Digital theodolite and
Laser tape. Also those maps were drawn by using both of ACAD
and ArcView softwares. Then a detail surveying map was
produced. The precision was computed for both traverses in each
method. Its value is range from 1/140 to 1/10000.
This document help you to prepare Triangulation Network (TIN), Hillshade Map, Slope map, interpolation and Digital Elevation Model (DEM) in a area and how to interpret them.
Data models are a set of rules and/or constructs used to describe and represent aspects of the real world in a computer. GIS can handle four data models for various applications. This module explains those four.
Data Input and Geometric transformation:
Existing GIS data, Metadata, Conversion of existing data, Creating new
data, Geometric transformation, RMS error and its interpretation,
Resampling of pixel values.
Spatial Data Concepts:
Introduction to GIS, Geographically referenced data, Geographic, projected
and planer coordinate system, Map projections, Plane coordinate systems,
Vector data model, Raster data model
basic concept of geographic data,GIS and its component,data acquisition ,raster, vector formats,spatial data,topology and data model data output ,GIS applications
IJRET-V1I1P3 - Remotely Sensed Images in using Automatic Road Map CompilationISAR Publications
High Resolution satellite Imagery is an important source for road network extraction for
roads database creation, refinement and updating. Various sources of imagery are known for their
differences in spectral, spatial, radioactive and temporal characteristics and thus are suitable for
different purposes of vegetation mapping. A number of shape descriptors are computed to reduce
the misclassification between road and other spectrally similar objects. The detected road segments
are further refined using morphological operations to form final road network, which is then
evaluated for its completeness, correctness and quality. The proposed methodology has been tested
on updating on road extraction from remotely-sensed imagery.
Topics:
1. Introduction to GIS
2. Components of GIS
3. Types of Data
4. Spatial Data
5. Non-Spatial Data
6. GIS Operations
7. Coordinate Systems
8. Datum
9. Map Projections
10. Raster Data Compression Techniques
11. GIS Software
12. Free GIS Data Resources
Land Use Growth Simulation and Optimization for Achieving a Sustainable Urban...TELKOMNIKA JOURNAL
Urban areas have been perceived as the source of environmental problems. To avoid improper land use allocation, negative sprawl effects, and other sources of environmental degradation, city planners need tools for simulating and optimizing their proposed plans. This study proposed a “what-if” analysis model that could help the planners in assessing and simulating their urban plans in Bekasi City, Indonesia. As part of Jakarta Metropolitan Area which exhibited a “post-suburbanization” phenomenon, this city faces many problems because of its high urban growth. Since the urban area has higher land use density than the rural area, especially on built-up class, it needs more consideration when allocating this kind of land use. Because each type of built-up class influences another type, it is difficult to allocate manually. Therefore, this study proposed a land-use optimization application to help planners finding the appropriate land use. This study showed that a model with simulation and optimization can be used to handle urban growth.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
A mathematical formulation of urban zoning selection criteria in a distribute...eSAT Journals
Abstract
Distributed Service Network is a wide term related to distribution and travelling i.e. distribution of resource among facilities located at various locations and travelling of resource along a distributed network. Policy making problems in distributed service networks can be clearly classified into a number of hierarchical levels. The levels are distinguished by time horizon of the problem, by amount of cost involved in the implementation of a solution, and by the political implications of the solution. In the public sector, it includes ambulance, fire, police and other services. In the private sector courier, taxi, repair, maintenance and the like are considered to be distributed service network.
In this paper an attempt has been made to obtain a mathematical model by which a network can be partitioned into subnetworks in a Distributed Service Network. The constraints like demand equity, contiguity, compactness, enclaves etc. are applied for Zoning.
Keywords: Zoning, Contiguity, subnetwork, Compactness, Enclave.
Surveying for Civil engineering is a
particular type of surveying known as "land surveying", it is the
detailed study or inspection, as by gathering information through
observations, measurements in the field, questionnaires, or
research of legal instruments, and data analysis in the support of
planning, designing, and establishing of property boundaries.
Land surveying can include associated services such as mapping
and related data accumulation, construction layout surveys,
precision measurements of length, angle, elevation, area, and
volume, as well as horizontal and vertical control surveys, and
the analysis and utilization of land survey data. Surveyors use
various tools to do their work successfully and accurately, such
as total stations, robotic total stations, GPS receivers, prisms, 3D
scanners, radio communicators, handheld tablets, digital levels,
and surveying software.
Survey data can be directly entered into a GIS from digital
data collection systems on survey instruments. When data is
captured, the user should consider if the data should be captured
with either a relative accuracy or absolute accuracy, since this
could not only influence how information will be interpreted but
also the cost of data captured.
In this paper GIS maps were developed depending on the
field surveying data made for a two traverses. First one has ribs
less than 50m length and the other larger than 50m. Each
traverse is holding five times using five equipments and
instruments: Tape, Level, Digital level, Digital theodolite and
Laser tape. Also those maps were drawn by using both of ACAD
and ArcView softwares. Then a detail surveying map was
produced. The precision was computed for both traverses in each
method. Its value is range from 1/140 to 1/10000.
Use of Satellite Data for Feasibility Study And Preliminary Design Project Re...IJERDJOURNAL
ABSTRACT: In the developing countries like India, need of infrastructure is very high as compared to the available resources. The various organizations put their demands to state and center government for sanction of their project, government depends upon its various department to provide an approximate cost so that priorities can be assigned. The conventional procedure depends upon the land surveying, collection of data from various departments resulting in delay in necessary decision making or some time shelving due to unreasonable cost estimate due to field data being very old. Survey of India, The National Survey and Mapping Organization single handily taking this responsibility thus up gradation of data is far behind the actual development. From the satellite data, which is available in the form of images and terrains (even in 3d LiDAR points for some areas) is very useful for Feasibility Study, and Preliminary Project Report. In the present study natural drain named „Chai Nala‟ meanders through the prime property of Greater Mohali Area Development Authority (GMADA) thus making a big chunk of commercial land inoperative. It was proposed to straighten and channelize to reclaim the land from drain regime. Being the precious land department wanted the most economical and technically sound design without taking any risk. It was decided to counter check the hydraulic data, ground profile, acquired from the Punjab Irrigation Department with the satellite data and Differential Global Positioning System (DGPS). The data from the Google Earth was acquired using Cad Earth software and water shed analysis was carried out using Autodesk Civil 3D software. Comparison of results shows that this technique is quite useful and can be for preliminary feasibility and project preparation. Thus saving huge money and time.
Classification of aurangabad city using high resolution remote sensing dataeSAT Journals
Abstract
The current study highlights the advantages of remote sensing and Geographic Information System (GIS) in the field urban planning and management. IRS-P6 Resourcesat-1 LISS-IV high spatial resolution (5.8m) data with three spectral bands were used for urban classification. The study area Aurangabad is the capital metro city of Maharashtra State, India. ENVI 4.4 image processing tool was used for classification of satellite data on the basis of supervised approach. Two statistical algorithms were used for urban classification such as Minimum distance and Mahalanobis distance classifier. Lastly the accuracy of the classification was performed through ground truth. The result indicates that the Minimum distance classifier gives the better results than Mahalanobis classifier which are 80.2817% and 70.4225% respectively. Hence it is identified minimum distance is best for urban classification.
Keywords: Supervised classification, Multispectral, Confusion matrix, Producer’s accuracy, Users accuracy.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Localization based range map stitching in wireless sensor network under non l...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Use of Geographic Information Systems to Build and Management a Geometric Net...ijtsrd
The main goal of this paper is to use the geometric network in the ArcGIS system to build and management the distribution of the electricity network in the College of Engineering at Sudan University of Science and Technology, which includes load distribution control and management, maintenance, new extensions and decision support. The major source data is a 10 cm spatial resolution aerial photograph of the research region, as well as network data obtained in the field, which comprises transformers, supply sub stations, distribution keys and cables from various portions of the electrical network. Different thematic layers, such as building, vegetation and electrical network parts, were created to meet the papers goal. A digital map of the electrical network, including underground cables, was created and the loads for various sectors were estimated to manage maintenance and new extensions and to determine the networks weaknesses. The ArcGIS systems geometric network was proven to be useful and has the potential to be used in electricity network analysis and management the flow directions of electricity power in the network. Sahar I. M. Abd Elrahman "Use of Geographic Information Systems to Build and Management a Geometric Network for Electricity" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49528.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/49528/use-of-geographic-information-systems-to-build-and-management-a-geometric-network-for-electricity/sahar-i-m-abd-elrahman
Data Processing Techniques for 3D Surface Morphologytheijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Theoretical work submitted to the Journal should be original in its motivation or modeling structure. Empirical analysis should be based on a theoretical framework and should be capable of replication. It is expected that all materials required for replication (including computer programs and data sets) should be available upon request to the authors.
The International Journal of Engineering & Science would take much care in making your article published without much delay with your kind cooperation.
Development of Methodology for Determining Earth Work Volume Using Combined S...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Topographic Information System as a Tool for Environmental Management, a Case...iosrjce
IOSR Journal of Environmental Science, Toxicology and Food Technology (IOSR-JESTFT) multidisciplinary peer-reviewed Journal with reputable academics and experts as board member. IOSR-JESTFT is designed for the prompt publication of peer-reviewed articles in all areas of subject. The journal articles will be accessed freely online.
ANALYSIS OF LAND SURFACE DEFORMATION GRADIENT BY DINSAR cscpconf
The progressive development of Synthetic Aperture Radar (SAR) systems diversify the exploitation of the generated images by these systems in different applications of geoscience. Detection and monitoring surface deformations, procreated by various phenomena had benefited from this evolution and had been realized by interferometry (InSAR) and differential interferometry (DInSAR) techniques. Nevertheless, spatial and temporal decorrelations of the interferometric couples used, limit strongly the precision of analysis results by these techniques. In this context, we propose, in this work, a methodological approach of surface deformation detection and analysis by differential interferograms to show the limits of this technique according to noise quality and level. The detectability model is generated from the deformation signatures, by simulating a linear fault merged to the images couples of ERS1 / ERS2 sensors acquired in a region of the Algerian south.
4D AUTOMATIC LIP-READING FOR SPEAKER'S FACE IDENTIFCATIONcscpconf
A novel based a trajectory-guided, concatenating approach for synthesizing high-quality image real sample renders video is proposed . The lips reading automated is seeking for modeled the closest real image sample sequence preserve in the library under the data video to the HMM predicted trajectory. The object trajectory is modeled obtained by projecting the face patterns into an KDA feature space is estimated. The approach for speaker's face identification by using synthesise the identity surface of a subject face from a small sample of patterns which sparsely each the view sphere. An KDA algorithm use to the Lip-reading image is discrimination, after that work consisted of in the low dimensional for the fundamental lip features vector is reduced by using the 2D-DCT.The mouth of the set area dimensionality is ordered by a normally reduction base on the PCA to obtain the Eigen lips approach, their proposed approach by[33]. The subjective performance results of the cost function under the automatic lips reading modeled , which wasn’t illustrate the superior performance of the
method.
MOVING FROM WATERFALL TO AGILE PROCESS IN SOFTWARE ENGINEERING CAPSTONE PROJE...cscpconf
Universities offer software engineering capstone course to simulate a real world-working environment in which students can work in a team for a fixed period to deliver a quality product. The objective of the paper is to report on our experience in moving from Waterfall process to Agile process in conducting the software engineering capstone project. We present the capstone course designs for both Waterfall driven and Agile driven methodologies that highlight the structure, deliverables and assessment plans.To evaluate the improvement, we conducted a survey for two different sections taught by two different instructors to evaluate students’ experience in moving from traditional Waterfall model to Agile like process. Twentyeight students filled the survey. The survey consisted of eight multiple-choice questions and an open-ended question to collect feedback from students. The survey results show that students were able to attain hands one experience, which simulate a real world-working environment. The results also show that the Agile approach helped students to have overall better design and avoid mistakes they have made in the initial design completed in of the first phase of the capstone project. In addition, they were able to decide on their team capabilities, training needs and thus learn the required technologies earlier which is reflected on the final product quality
PROMOTING STUDENT ENGAGEMENT USING SOCIAL MEDIA TECHNOLOGIEScscpconf
Using social media in education provides learners with an informal way for communication. Informal communication tends to remove barriers and hence promotes student engagement. This paper presents our experience in using three different social media technologies in teaching software project management course. We conducted different surveys at the end of every semester to evaluate students’ satisfaction and engagement. Results show that using social media enhances students’ engagement and satisfaction. However, familiarity with the tool is an important factor for student satisfaction.
A SURVEY ON QUESTION ANSWERING SYSTEMS: THE ADVANCES OF FUZZY LOGICcscpconf
In real world computing environment with using a computer to answer questions has been a human dream since the beginning of the digital era, Question-answering systems are referred to as intelligent systems, that can be used to provide responses for the questions being asked by the user based on certain facts or rules stored in the knowledge base it can generate answers of questions asked in natural , and the first main idea of fuzzy logic was to working on the problem of computer understanding of natural language, so this survey paper provides an overview on what Question-Answering is and its system architecture and the possible relationship and
different with fuzzy logic, as well as the previous related research with respect to approaches that were followed. At the end, the survey provides an analytical discussion of the proposed QA models, along or combined with fuzzy logic and their main contributions and limitations.
DYNAMIC PHONE WARPING – A METHOD TO MEASURE THE DISTANCE BETWEEN PRONUNCIATIONS cscpconf
Human beings generate different speech waveforms while speaking the same word at different times. Also, different human beings have different accents and generate significantly varying speech waveforms for the same word. There is a need to measure the distances between various words which facilitate preparation of pronunciation dictionaries. A new algorithm called Dynamic Phone Warping (DPW) is presented in this paper. It uses dynamic programming technique for global alignment and shortest distance measurements. The DPW algorithm can be used to enhance the pronunciation dictionaries of the well-known languages like English or to build pronunciation dictionaries to the less known sparse languages. The precision measurement experiments show 88.9% accuracy.
INTELLIGENT ELECTRONIC ASSESSMENT FOR SUBJECTIVE EXAMS cscpconf
In education, the use of electronic (E) examination systems is not a novel idea, as Eexamination systems have been used to conduct objective assessments for the last few years. This research deals with randomly designed E-examinations and proposes an E-assessment system that can be used for subjective questions. This system assesses answers to subjective questions by finding a matching ratio for the keywords in instructor and student answers. The matching ratio is achieved based on semantic and document similarity. The assessment system is composed of four modules: preprocessing, keyword expansion, matching, and grading. A survey and case study were used in the research design to validate the proposed system. The examination assessment system will help instructors to save time, costs, and resources, while increasing efficiency and improving the productivity of exam setting and assessments.
TWO DISCRETE BINARY VERSIONS OF AFRICAN BUFFALO OPTIMIZATION METAHEURISTICcscpconf
African Buffalo Optimization (ABO) is one of the most recent swarms intelligence based metaheuristics. ABO algorithm is inspired by the buffalo’s behavior and lifestyle. Unfortunately, the standard ABO algorithm is proposed only for continuous optimization problems. In this paper, the authors propose two discrete binary ABO algorithms to deal with binary optimization problems. In the first version (called SBABO) they use the sigmoid function and probability model to generate binary solutions. In the second version (called LBABO) they use some logical operator to operate the binary solutions. Computational results on two knapsack problems (KP and MKP) instances show the effectiveness of the proposed algorithm and their ability to achieve good and promising solutions.
DETECTION OF ALGORITHMICALLY GENERATED MALICIOUS DOMAINcscpconf
In recent years, many malware writers have relied on Dynamic Domain Name Services (DDNS) to maintain their Command and Control (C&C) network infrastructure to ensure a persistence presence on a compromised host. Amongst the various DDNS techniques, Domain Generation Algorithm (DGA) is often perceived as the most difficult to detect using traditional methods. This paper presents an approach for detecting DGA using frequency analysis of the character distribution and the weighted scores of the domain names. The approach’s feasibility is demonstrated using a range of legitimate domains and a number of malicious algorithmicallygenerated domain names. Findings from this study show that domain names made up of English characters “a-z” achieving a weighted score of < 45 are often associated with DGA. When a weighted score of < 45 is applied to the Alexa one million list of domain names, only 15% of the domain names were treated as non-human generated.
GLOBAL MUSIC ASSET ASSURANCE DIGITAL CURRENCY: A DRM SOLUTION FOR STREAMING C...cscpconf
The amount of piracy in the streaming digital content in general and the music industry in specific is posing a real challenge to digital content owners. This paper presents a DRM solution to monetizing, tracking and controlling online streaming content cross platforms for IP enabled devices. The paper benefits from the current advances in Blockchain and cryptocurrencies. Specifically, the paper presents a Global Music Asset Assurance (GoMAA) digital currency and presents the iMediaStreams Blockchain to enable the secure dissemination and tracking of the streamed content. The proposed solution provides the data owner the ability to control the flow of information even after it has been released by creating a secure, selfinstalled, cross platform reader located on the digital content file header. The proposed system provides the content owners’ options to manage their digital information (audio, video, speech, etc.), including the tracking of the most consumed segments, once it is release. The system benefits from token distribution between the content owner (Music Bands), the content distributer (Online Radio Stations) and the content consumer(Fans) on the system blockchain.
IMPORTANCE OF VERB SUFFIX MAPPING IN DISCOURSE TRANSLATION SYSTEMcscpconf
This paper discusses the importance of verb suffix mapping in Discourse translation system. In
discourse translation, the crucial step is Anaphora resolution and generation. In Anaphora
resolution, cohesion links like pronouns are identified between portions of text. These binders
make the text cohesive by referring to nouns appearing in the previous sentences or nouns
appearing in sentences after them. In Machine Translation systems, to convert the source
language sentences into meaningful target language sentences the verb suffixes should be
changed as per the cohesion links identified. This step of translation process is emphasized in
the present paper. Specifically, the discussion is on how the verbs change according to the
subjects and anaphors. To explain the concept, English is used as the source language (SL) and
an Indian language Telugu is used as Target language (TL)
EXACT SOLUTIONS OF A FAMILY OF HIGHER-DIMENSIONAL SPACE-TIME FRACTIONAL KDV-T...cscpconf
In this paper, based on the definition of conformable fractional derivative, the functional
variable method (FVM) is proposed to seek the exact traveling wave solutions of two higherdimensional
space-time fractional KdV-type equations in mathematical physics, namely the
(3+1)-dimensional space–time fractional Zakharov-Kuznetsov (ZK) equation and the (2+1)-
dimensional space–time fractional Generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony
(GZK-BBM) equation. Some new solutions are procured and depicted. These solutions, which
contain kink-shaped, singular kink, bell-shaped soliton, singular soliton and periodic wave
solutions, have many potential applications in mathematical physics and engineering. The
simplicity and reliability of the proposed method is verified.
AUTOMATED PENETRATION TESTING: AN OVERVIEWcscpconf
The using of information technology resources is rapidly increasing in organizations,
businesses, and even governments, that led to arise various attacks, and vulnerabilities in the
field. All resources make it a must to do frequently a penetration test (PT) for the environment
and see what can the attacker gain and what is the current environment's vulnerabilities. This
paper reviews some of the automated penetration testing techniques and presents its
enhancement over the traditional manual approaches. To the best of our knowledge, it is the
first research that takes into consideration the concept of penetration testing and the standards
in the area.This research tackles the comparison between the manual and automated
penetration testing, the main tools used in penetration testing. Additionally, compares between
some methodologies used to build an automated penetration testing platform.
CLASSIFICATION OF ALZHEIMER USING fMRI DATA AND BRAIN NETWORKcscpconf
Since the mid of 1990s, functional connectivity study using fMRI (fcMRI) has drawn increasing
attention of neuroscientists and computer scientists, since it opens a new window to explore
functional network of human brain with relatively high resolution. BOLD technique provides
almost accurate state of brain. Past researches prove that neuro diseases damage the brain
network interaction, protein- protein interaction and gene-gene interaction. A number of
neurological research paper also analyse the relationship among damaged part. By
computational method especially machine learning technique we can show such classifications.
In this paper we used OASIS fMRI dataset affected with Alzheimer’s disease and normal
patient’s dataset. After proper processing the fMRI data we use the processed data to form
classifier models using SVM (Support Vector Machine), KNN (K- nearest neighbour) & Naïve
Bayes. We also compare the accuracy of our proposed method with existing methods. In future,
we will other combinations of methods for better accuracy.
VALIDATION METHOD OF FUZZY ASSOCIATION RULES BASED ON FUZZY FORMAL CONCEPT AN...cscpconf
In order to treat and analyze real datasets, fuzzy association rules have been proposed. Several
algorithms have been introduced to extract these rules. However, these algorithms suffer from
the problems of utility, redundancy and large number of extracted fuzzy association rules. The
expert will then be confronted with this huge amount of fuzzy association rules. The task of
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classifier. In this paper, we propose an oversampling technique that handles between class and
within class imbalance simultaneously and also takes into consideration the generalization
ability in data space. The proposed method is based on two steps- performing Model Based
Clustering with respect to classes to identify the sub-concepts; and then computing the
separating hyperplane based on equal posterior probability between the classes. The proposed
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cities. Social network users are acting as social sensors. These datasets so large and complex
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functions, including among others transportation, water, and energy consumption, pollution
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help to analyze smart city data collected from various social media sources, such as Twitter and
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events and concerns of citizens regarding some events. A case scenario analyses the opinions of
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difficult to collect, store and analyze such big data using traditional detection methods. This
paper proposed the application of apache spark in hate speech detection to reduce the
challenges. Authors developed an apache spark based model to classify Amharic Facebook
posts and comments into hate and not hate. Authors employed Random forest and Naïve Bayes
for learning and Word2Vec and TF-IDF for feature selection. Tested by 10-fold crossvalidation,
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Network (GRNN). The corpus is divided into two parts viz. training and testing. The network is
trained and validated on both training and testing data. It is observed that 96.13% words are
correctly being tagged on training set whereas 74.38% words are tagged correctly on testing
data set using GRNN. The result is compared with the traditional Viterbi algorithm based on
Hidden Markov Model. Viterbi algorithm yields 97.2% and 40% classification accuracies on
training and testing data sets respectively. GRNN based POS Tagger is more consistent than the
traditional Viterbi decoding technique.
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2. 274 Computer Science & Information Technology (CS & IT)
population. However, building roads and railway tracks in turn require land acquisition, because
these constructions must have a large area[1,2]. Although the term “Land acquisition” sounds
quite a simple one, but at least in the Indian context, the bygone years are awarded with the
mishaps of the hostile atrocities of humanity towards the fellowmen over the land acquisition
issue and called for the contentious criticisms and beguiled controversies that carved its way
through the daily media, gave rise to many agitations in local and national level[3]. The amount
of agitation could be minimized some how, if only the less fertile lands are being selected for
acquisition[4,5].
Although it sounds fascinating, but for a very large area under consideration, practically it is
perhaps manually impossible to consider all the possible routes one by one, from source to
destination, covering the fertile lands as less as possible and then to select the optimal one path,
after comparing their costs under few predefined parameters[6,7,8,9,10,11,12,13,14,15,16,17].
The work present proposes to find a remedy for this lingering problem.
Addressing the aforesaid problem, the present work provide the planning for the road to be built
in such a way, curved towards the remedy for this lingering problem of land acquisition, by
suggesting acquiring lands which are very less fertile along with focusing on some other
parameters while choosing a land, which could be altered by an individual for a suitable
situation. The proposed technique developed, taking digitized map as input which is a precursor
to the system.
Section 2 of this paper deals with the scheme of the techniques. The results of implementations
are given in section 3. Analysis and comparisons are outlined in section 4 that of conclusions are
drawn in section 5 and references in section 6.
2. SCHEME
The basic objective of the work are visualize using following sub-systems:
A graphical user interface, by which raster map of a very large area (which is nothing but
a pre-stored image) can be converted into a vector map by means of digitization
Data collected by means of survey, regarding the owner of the land, priorities of the land
etc. are associated with the digitized map
On entering the source and destination regions, the optimal path between these two,
causing minimal alteration of land is obtained.
Section 2.1 explains the basic approach with associated data structures needed to fulfil the
objectives. Section 2.2 deals with the algorithm used in the proposed technique and finally the
construction process of the optimal path through back-tracking is given in section 2.3.
2.1. Methodology
Proposed work embedded with a previously map. In context of Indian scenario, it may be a map of
the entire Block (under any district), where at the time of digitization, the associated information
regarding each tiny lands are given, such as, type of land (some numerical values may be assigned
for this purpose, such as 0 for deserted land, 1 for one-crop field and finally a very high values for
3. Computer Science & Information Technology (CS & IT) 275
those lands, which can’t be acquired, due to having already some constructions like temples,
schools, factories etc.), the owner of the lands and so on.
The map of any large region under consideration, consisting of a number of small discrete lands
may be viewed as a connected graph, where each small land is regarded as a node. For
demonstration purpose, one such area is shown in fig. 1, consisting of 7 regions. Here the user is to
feed the information regarding the adjacency of two lands. It is to be noted that two lands will be
said to be adjacent only when they have some common boundary. This information can be
gathered through user friendly screen (only by mouse clicking) and the information is then stored
in an “Adjacency Matrix”. In figure 1, the regions which are adjacent to one another, are linked
with straight lines (i.e. a connection exists between them).
Fig. 1: The graphical representation of the area under consideration
The problem now may be viewed as finding the shortest path from source to destination point,
keeping in mind to traverse through the less priority regions, but at the same time the length
should not be much more. From architectural point of view some more parameters, like soft lands
or curvy lands etc. may also be considered, while choosing lands for acquisition.
In the graph shown in figure 1, let a path has to construct from node 5 to node 1. The magnitude
mentioned over a node specifies the direct distance (centroid to centroid) between that node and
the destination. The magnitudes which are mentioned inside the box over the edge denote the
length of that edge i.e. it is the direct distance between the two nodes connected by that edge. Let
us consider the priorities of the regions as given in table 1.
Table 1: Table showing prorities of the regions (corresponding to fig. 1)
Regions 0 1 2 3 4 5 6 7
Priorities 100 NIL NIL 5 6 NIL NIL NIL
Here, a NIL under priority means, that the user has not entered it explicitly, so a 0 (zero) value is
assigned automatically. To make any region forbidden (which much not be acquired anyhow), a
very high priority value is assigned with it.
For feeding the adjacencies or while input the start and destination region; only clicking inside
the regions are sufficient. Using the Ray-Casting algorithm, it is determined that inside which
polygon (region) the clicked point belongs.
4. 276 Computer Science & Information Technology (CS & IT)
2.2. Proposed Algorithm
Two arrays OpenSet and CloseSet are used for the purpose of keeping track of the visited regions
and the distance between source and any other region is measured by cumulatively adding the
distances between all the intermediate regions travelled so far to reach at the present region, while
the distance from that region to the destination region is just the centroid to centroid distance
between the two.
The main motivation behind the present technique is to select only the low priority regions for
construction of the path, while keeping in mind not to make the length very much. To make a
balance between these two, while calculating the value of cost factor of selecting any particular
region, a weightage factor of 0.75 is associated with the priority value and a factor of 0.25 is
associated with the distance traversed. This two values has been adopted after performing a small
survey of the situation in West Bengal, however this weightage factor will obviously get changed
with time and place and has to be determined by proper survey. Although for the sake of
simplicity, only two parameters are considered for the present work, but many more parameters
like softness of the land, its inclination value etc. can easily be considered as attributes. So based
on the architectural needs, parameters may be adopted within the algorithm. The step-wise
procedure of the technique is as follows
Step I: Initially the region ID of the REGION, as input by user, is only placed in OpenSet. Each
time, for any region, two values are being considered, one is g value(say), which signify the
distance traversed till this intermediate region is reached while traversing from the source and
h(say), is the Euclidian distance from this intermediate point to the destination one. The
required functional value f is the 25% of summation of these two (i.e. f(x)=g(x)+h(x)) plus
75% obtained from priority of the region. Thus initially for the source region, its g value is set
to 0 and its h value as obtained from graph. Initially, CloseSet is made empty.
Step II: Until a goal node is found, the following procedure is repeated:
If there are no region ID on OpenSet, failure is reported. Otherwise, the ID on OpenSet with
the lowest calculated f value is picked, designated as BESTNODE. It is removed from
OpenSet and is placed on ClosedSet. If BESTNODE is a goal node, then the procedure halts
and a solution is reported. Otherwise, all the regions which are adjacent to the BESTNODE
(may be designated as SUCCESSOR), are placed at OpenSet. For each SUCCESSOR, the
following procedure is adopted:
a) The path from SUCCESSOR pointing back to BESTNODE is memorised. This
backwards link will make it possible to recover the path once a solution is found (section
II.C).
b) If SUCCESSOR is the same as any region on OpenSet (i.e., it has already been generated
but not processed) then it is designated as OLD. Since this node already exists in the graph,
one can throw SUCCESSOR away and add OLD to the list of BESTNODE’s successors.
Now it has to decide whether OLD’s parent link should be reset to point to BESTNODE. It
should be, if the path just found to SUCCESSOR is cheaper than the current best path to
OLD (since SUCCESSOR and OLD is really the same node). So it has to examine whether
it is cheaper to get to OLD via its current parent or to SUCCESSOR via BESTNODE by
comparing their f values. If f(OLD) is cheaper (or just as cheap), then nothing is done. If
5. Computer Science & Information Technology (CS & IT) 277
f(SUCCESOR) is cheaper, then OLD’s parent link is reset to point to BESTNODE and f
(SUCCESSOR) is recorded.
c) If the SUCCESSOR is the same as any region on ClosedSet (i.e., it has already been
generated and processed), then this SUCCESSOR is skipped and the next node with least f
value is picked and the previous steps are followed.
d) If the SUCCESSOR was not already on either OpenSet or ClosedSet, then it is put on
OpenSet, f(SUCCESSOR) is computed using the procedure mentioned in Step I and Step II
is repeated.
2.3. Construction of Optimal path
On finding the destined region, a backtracking mechanism is incorporated, to point out the path
graphically on the map (digitized). Since the target region is in the ClosedSet (a condition for
successful halt of the procedure), inspection starts from that region and its immediate parent is
found. A line is drawn connecting the two regions (a line joining the centroids of these two). From
this parent region, again its immediate region is found and the path connecting these two is
constructed. The method is repeated till the source node is reached and the path reaching this node
is drawn. Obviously at this point the complete optimal path, meeting the objective of this work is
obtained and shown graphically onto the map.
Implementation & Results
The results of implementation and its operations have been done using Net Beans (Java), which is
based on file systems without using databases. The work starts with choosing a map from any
location of the computer, digitizing it (fig 2a and 2b) and then feeding data associated with
various regions (fig 2c).
Fig. 2(a) Fig. 2(b) Fig 2(c)
Fig. 2: Digitization & Data Association
The next step is to feed the “Adjacency” information, where the information is saved by clicking
“Accept” button and upon clicking “Show Adj.” button, two adjacent regions are shown by a
connected red line (fig 3a and 3b).
Fig. 3(a) Fig. 3(b)
Fig. 3: Incorporating and displaying adjacency information
6. 278 Computer Science & Information Technology (CS & IT)
Finally the source and the destination points are given by clicking “Give Points” button, after
which the best suggested path between them is generated and displayed graphically upon clicking
onto the “Generate” button (fig 4a and 4b).
Fig. 4(a) Fig. 4(b)
Fig. 4: Optimal path between source & destination
3. ANALYSIS & COMPARISONS
In the proposed technique, a path of the lowest cost is followed, keeping a sorted priority
queue of alternate path segments along the way. If, at any point, a segment of the path being
traversed has a higher cost than another encountered path segment, it abandons the higher-cost
path segment and traverses the lower-cost path segment instead. This process continues until the
goal is reached.[4]
Compared to all informed search algorithms, the proposed technique also searches the routes
which appeared to be most likely to move forward towards the goal, but the advantage is that it
also takes the distance already travelled into account. The function of the same can be expressed
as f(x)=g(x)+h(x), where the g(x) part of the heuristic is the cost from the starting point, not
simply the local cost from the previously expanded node.
The advantages of this proposed technique are as follows:
During digitizing, both the mouse move and click can be adopted simultaneously,
without specifying the technique beforehand, which makes the process less time-
consuming and user-friendly.
Editing is possible to accommodate variable needs, for example, here only the priority
and the length of the path has been considered, but if one desires, other aspect like
curviness of the land, softness/hardness of the soil etc. may also be taken into account.
It is based on purely flat file systems, not dependent on any particular operating
systems and DBMS. Instead, if databases are used then, not only the cost would be
increased, the portability will also be lost, as most of the databases are proprietary.
The graphical trace of the proposed roadway is displayed, from which the idea about
the lands which are needed to acquire is obtained. Moreover, from the data associated
with each land the information regarding the owner and other necessary information
could be obtained.
An automated system solely mean for directing land acquisition, as like the present work is not
available, but some of the GIS based tool can be tiled to do these tasks only incorporating some
modifications. For example, using TNTMips, although digitization and data association is
possible, but it will not help to find the optimal cost path, on the basis of the priorities of the
acquired land, until and unless some modifications are done.
7. Computer Science & Information Technology (CS & IT) 279
4. CONCLUSIONS
Agriculture is the backbone of the country, but to serve better to the huge population of this
country and for accepting the challenge of improvement of the communication system, new
roadways/ railway tracks are to construct, which in turn require land acquisition, leading to many
agitations in regional/national level. This work is an attempt, which suggests constructing a
roadway from one point to another by acquiring less fertile lands as much as possible, hoping to
minimize the people (farmers) agitations at least up to a certain extent.
ACKNOWLEDGMENT
The authors express a deep sense of gratitude to the Department of Computer Science,
Barrackpore Rastraguru Surendranath College, Kolkata-700 120, India and Department of
Computer Science and Engineering, University of Kalyani for providing necessary infrastructural
support for the work and to the UGC for financial support under Minor Research Project scheme
(sanction number F. PSW-180/11-12 ERO, dated 25.01.2012).
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