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2010 3rd IEEE International Conference on computer science and Information Technology—ICCSIT 2010

作者： K.Seshadri Sastry M.S.Prasad babu Dept.of Computer Science＆ Systems Engineering Andhra University

In this paper,we propose a non-data-aided （NDA） signal-noise ratio （SNR） estimation algorithm for quadrature amplitude modulation （QAM） signals in additive white Gauss noise （AWGN） channel using Fuzzy logic *** NDA SNR estimation algorithm for QAM signals is derived based on a statistical ratio of observables over a block of *** was shown that SNR can be effectively calculated by implementing proposed estimation algorithm using Fuzzy logic.

关键词： Fuzz ylogic QAM signals SNR estimation

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A Variable Length Key Based Cryptographic Approach on Cloud Data

A Variable Length Key Based Cryptographic Approach on Cloud ...

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International Conference on Information Technology (ICIT)

作者： Pronab Ghosh Md. Zahid Hasan Syeda Tanjila Atik Md. Ismail Jabiullah Dept. of Computer Science& Engineering Daffodil International University Dhaka Bangladesh

ISBN: (数字)9781728160528

ISBN: (纸本)9781728160535

Security has emerged to be a concerning issue in cloud computing as numerous sensitive data are processed and transferred over the cloud servers. In this paper, a variable length key based security mechanism has been designed, developed, and implemented by using the Advanced Encryption Standard (AES) protocol for the secured delivery of cloud data which also works as SaaS (Software as a Services). The length of the used key is given as input by the user followed by the selection of a secret key which is fed into the AES cryptographic system with the desired cloud data message thus producing the Cipher text that is to be transmitted to the destination. In the receiver end, the reverse process is performed with the same key on the received Cipher text and the plaintext is retrieved. Using Python to implement and validate the security process, several messages from cloud users are used and the result for each input is analyzed. The result of our study is then compared with the two existing approaches which clearly shows the advancement of the proposed approach. This process can be applied in any secured electronic message transactions for cloud data.

关键词： Cloud computing Encryption Ciphers Authentication

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OTPS: A decision support service for optimal airfare Ticket Purchase

OTPS: A decision support service for optimal airfare Ticket ...

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IEEE International Conference on Big Data

作者： Yuchang Xu Jian Cao Dept. of Computer Science& Engineering Shanghai Jiao Tong University Shanghai China

Due to the fast development and wide application of Web technology, online purchases have become the main method to buy airfare tickets. Because information about pricing factors is unavailable, it is difficult for customers to buy airfare tickets at the lowest cost or even at a relatively lower cost. Although several approaches have been proposed to suggest the optimal timing for purchasing airfare tickets, these methods are based on predictions of tomorrow's price information. Clearly, local optimal decisions which rely solely on tomorrow's price prediction can be misleading or incorrect, resulting in missed opportunities to buy tickets at a lower cost in the future. In this paper, a novel Optimal airfare Ticket Purchase decision-support Service (OTPS) is proposed, which makes continuous recommendations on the best purchase time before the departure date. OTPS is based on the strategy of the Dynamic ratio of numbers of Potential days with Lower Price (DPLP), which takes the fluctuation tendency of airfare prices for a period into consideration. Specifically, parameter values of the model are set in a route-specific manner and updated periodically to enhance the generalization ability and reliability of OTPS. Extensive experiments are conducted on the real-world ticket price dataset of multiple routes. The experimental results prove that OTPS shows superiority over other state-of-the-art solutions.

关键词： Atmospheric modeling Predictive models Timing Pricing Fluctuations Time series analysis Real-time systems

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A Systematic Study of OpenStreetMap Data Quality Assessment

A Systematic Study of OpenStreetMap Data Quality Assessment

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International Conference on Information Technology: New Generations (ITNG)

作者： Sukhjit Singh Sehra Jaiteg Singh Hardeep Singh Rai Dept of Computer Science& Engineering GNDEC Ludhiana Punjab India Department of Computer Application CIET Punjab India Dept of Civil Engineering GNDEC Ludhiana Punjab India

ISBN: (纸本)9781479931897

The evolution of web has changed the way of interaction with the user. Web 2.0 encouraged more contribution from the user of varying level of mapping experience and is called Crowd Sourcing. Open Street Map is also the outcome of Crowd Sourcing. It is collecting huge data with help of general public, researchers have started analysing the data rather than collecting it. The aim of this study is to review the research work for assessment of Open Street Map Data. It is concluded that the most of research work on assessment of Open Street map data has been done for countries like Germany, UK & USA. But the authenticity and accuracy of reference data still unanswered. Another issue that is concluded by this review, in context to Indian subcontinent, is the requirement of through analysis of Open Street Map data.

关键词： Accuracy Roads Internet Spatial databases Information services Electronic publishing Quality assessment

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Aspect Based Multi-Document Summarization

Aspect Based Multi-Document Summarization

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International Conference on Computing, Communication and Automation

作者： Deepak Sahoo Rakesh Balabantaray Mridumoni Phukon Saibali Saikia Dept. of Computer Science & Engineering IIIT-Bhubaneswar Odisha India Dept. Of Computer Science& Engineering IIIT Bhubaneswar Odisha India Department of IT GUIST Gauhati University Assam India

ISBN: (纸本)9781509016679

Multi-document summarization is useful when a user deals with a group of heterogeneous documents and wants to compile the important information present in the collection, or there is a group of homogeneous documents, taken out from a large corpus as a result of a query. We present an approach to automatic multi-document summarization that depends on clustering and sentence extraction. User provides a query, based on the query;documents that are relevant to the query are extracted from a document corpus containing documents from various domains. An n x n similarity matrix is created among the sentences having sentence level similarity in all extracted documents. Then clusters of similar sentences are formed using Markov clustering algorithm. In each cluster, each sentence is assigned five different weights 1. Chronological weight of sentence (Document level) *** weight of sentence (position of sentence in the document) 3. Sentence weight (based on term weight) 4. Aspect based weight (sentence containing aspect words) and 5. Synonymy and Hyponym Weight. Then top ranked sentences having highest weight are extracted from each cluster and presented to user.

关键词： Summarization Clusteri Term Weigt Positional Weigh Chronological Weight Aspect Weight

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A fuzzy-based localization in range-free wireless sensor network using genetic algorithm&Sinc membership function

A fuzzy-based localization in range-free wireless sensor net...

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International Conference on Green Computing, Communication and Conservation of Energy (ICGCE)

作者： Ashutosh Patri Abhijit Nayak Dept. of Mining Engineering National Institute of Technology Rourkela India Dept. of Computer Science& Engineering National Institute of Technology Rourkela India

ISBN: (纸本)9781467361248

In this paper a novel localization technique is proposed using fuzzy logic and genetic algorithm to get nearly precise location of sensor nodes, in a range free localization system. This localization technique gives a stable system in which both magnitude and range of the error are very low. Various membership functions (MF) are tested among which the Sinc MF provides the best results for the system. Genetic algorithm is used to optimize the knowledge base of the fuzzy system and the simulations are done employing Mamdani fuzzy interference method. A thorough analysis compares the accuracy of the proposed system to that of the basic Centroid localization methods. Error analysis is shown using violin plot i.e. a combination of box plot and kernel density plot for the validation of the proposed model.

关键词： Wireless sensor networks Genetic algorithms Fuzzy logic Fuzzy systems Mathematical model Computational modeling Sociology

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A Cost Benefit Analysis for Distribution of Threatened Species Based on Climate Change

Research Square

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Research Square 2021年

作者： Nandhi Kesavan, R. Latha, K. Anna University Chennai India Dept.of Computer Science& Engineering Anna University BIT Campus Tiruchirappalli India

Among all the threats to global diversity, climate change is the most severe cause. According to the world’s biodiversity conservation organization, reptile species are affected mostly because the biological and ecological traits of the reptiles are strongly linked with climate. To prevent species extinction, we tried to develop a decision support system that incurs the costs and benefits of reintroducing a taxon from its origin to adapt environmental conditions to conserve it from its extinction. The model was developed by applying multiple linear regressions that take the climatic variables and species traits to determine the cost and benefits for the distribution of species. The effectiveness of the model was evaluated by applying it to the Indian Black Turtle, which is an endangered species list in India evaluated by the International Union for Conservation of Nature list. The model recommends moving the species, which is endangered, to the location where it can save itself from climate change. However, the framework demonstrates huge differences in the estimated significance of climate change, and the model strategy helps to recognize the probable risk of increased revelation to critically endangered species. © 2021, CC BY.

关键词： Climate change

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Personalized flight recommendations via paired choice modeling

Personalized flight recommendations via paired choice modeli...

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IEEE International Conference on Big Data

作者： Jian Cao Fangzhou Yang Yuchang Xu Yudong Tan Quanwu Xiao Dept. of Computer Science& Engineering Shanghai Jiaotong University Shanghai China Department of Air Ticket Business *** International Ltd Shanghai China

Personalized flight recommendation is useful when a traveler wants to find the most suitable flight ticket efficiently. It is hard to learn latent factors behind personal choices directly from users' preferred flight tickets whose features change over time, which leads to the ineffectiveness of traditional recommendation approaches. Therefore, we propose a personalized flight ticket recommendation approach based on paired choice modeling. In this approach, an optimization problem is formulated to maximize a user's choice utility over flight tickets through a paired-choice analysis of users' historical orders. The experiments conducted on a real world dataset show that our approach outperforms other state-of-the-art methods.

关键词： Atmospheric modeling Collaboration Filtering Utility theory Matrix converters Analytical models Computational modeling

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Learning automaton based context oriented middleware architecture for precision agriculture

Learning automaton based context oriented middleware archite...

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International Conference on computer, Information and Telecommunication Systems (CITS)

作者： P. Venkata Krishna S. Sivanesan Sudip Misra Mohammad S. Obaidat Department of Computer Science Sri Padmavathi Mahila Visvavidyalayam Tirupati India School of Information Technology Indian Institute of Technology Kharagpur India School of Computing Science and Engineering VIT University Vellore India Dept. of Computer Science& Software Engineering Monmouth University NJ USA

The continuous alteration of living landscape in earth due to the greatest impact of information technology has converted the whole earth into a small digital village. That means anyone could share information in any form with any other person residing anywhere in the earth. With the availability of information and communication technology like cloud computing, heterogeneous networking, crowd sensing, web services and data mining, anywhere and anytime information sharing is possible, but this will bring out lot of challenges like incompatibility in standards, data portability, data aggregation, data dissemination, differential context and communication overhead. The ICT has changed many aspects of human lifestyle, work places and living spaces. However, there is one sector namely agriculture which has been deprived of the real advantages of ICT. Hence, there exists a digital divide between farming industry and other industries. Farming industry consumes large amount of natural resources such as water, energy and fertilizers that could escalate issues such as global warming, soil degradation and depletion of ground water to the next level. To reduce the global warming effect, farming industry needs to be integrated with relevant technologies. This paper proposes ubiquitous context oriented middleware architecture for precision agriculture (LA-COMPa) to solve major issues such as waste of water, improper application of fertilizer, choice of wrong crops and season, poor yield and lack of marketing.

关键词： Context Learning automata Middleware Fertilizers Manuals Soil

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A proposal of interaction system between visitor and collection in museum hall by iBeacon

A proposal of interaction system between visitor and collect...

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International Conference on computer science & Education (ICCSE)

作者： Zhiqiang He Binyue Cui Wei Zhou Shigeki Yokoi Research Dept Hebei University of Economics &Business Shijiazhuang China Dept. Management Science& Engineering Hebei University of Economics &Business Shijiazhuang China Dept. Computer Science Beijing Jiaotong University Beijing China Graduate School of Information Science Nagoya University Nagoya Japan

ISBN: (纸本)9781479966011

Beacon is an in door positioning system provided by Apple based on BLE (Bluetooth Low Energy) technology. Smart devices, such as iPhone or Android phone can detect advertising signals sent by the low energy consumption tiny device. Notifications will be pushed automatically to the user when smart device with iBeacon Apps come to certain areas. It provides promising and portfolio usage scenarios for business, such as retail stores, to push related information about customers' interested items with the awareness of customers' location. This technology also can be used in museum scenario. In this research, we described the principle of iBeacon, and addressed a design of interaction system between visitors and collections supported by iBeacon technology.

关键词： Advertising History Bluetooth Energy consumption Standards Smart phones

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