Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7917994
Shikha Sharma, Shivani Sharma
Sybil attack is an encounter in which the personality of a assaulter is contaminated into huge number of incognito personality which is produced to build up the route of the network. In this paper, we deliberate the timestamp approach for Sybil attack in associated system, self correlate network, and cordial network system. Also assorted mechanisms to extenuate the Sybil attack are evaluated, we have proposed timestamp approach for prevention and detection of Sybil attack. We have compared our result with EBRS Approach our approach shows better results as compared to previous approach.
{"title":"A defensive timestamp approach to detect and mitigate the Sybil attack in vanet","authors":"Shikha Sharma, Shivani Sharma","doi":"10.1109/IC3I.2016.7917994","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917994","url":null,"abstract":"Sybil attack is an encounter in which the personality of a assaulter is contaminated into huge number of incognito personality which is produced to build up the route of the network. In this paper, we deliberate the timestamp approach for Sybil attack in associated system, self correlate network, and cordial network system. Also assorted mechanisms to extenuate the Sybil attack are evaluated, we have proposed timestamp approach for prevention and detection of Sybil attack. We have compared our result with EBRS Approach our approach shows better results as compared to previous approach.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115410705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7917995
Anita Chaudhari, Brinzel Rodrigues, Shraddha S. More
Energy crisis is one of the prime challenges being faced by many of the countries in the world today. Industrial development and population growth has tremendously increased the demand for energy to a huge extent. Many researchers and developers have come up with effective systems so as deal with this problem. A lot of techniques have been suggested such as an Energy monitoring system which is an efficient technique to monitor the devices present inside a house or industries and provide notification about their abnormal behavior. Main aim of this project is to design a SmartPlug: energy monitoring and control system which can control the devices, show power consumed by the devices and calculate electricity bills based on the total energy usage depending upon different vendors available. Our system includes a Raspberry pi, Arduino board and sensors which will be connected to each and every device. We have developed a website so that the user can just login and have information about the energy consumption by all the devices. A graphical representation of the power consumed by the devices will make the user aware if power consumed by any device exceeds a certain level. This system can reduce the electricity bills to a large extent and will prove beneficial for the users as well. It is not restricted to limited devices and thus can also be used in industries by using more Raspberry pi micro-controllers.
{"title":"Automated IOT based system for home automation and prediction of electricity usage and comparative analysis of various electricity providers: SmartPlug","authors":"Anita Chaudhari, Brinzel Rodrigues, Shraddha S. More","doi":"10.1109/IC3I.2016.7917995","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917995","url":null,"abstract":"Energy crisis is one of the prime challenges being faced by many of the countries in the world today. Industrial development and population growth has tremendously increased the demand for energy to a huge extent. Many researchers and developers have come up with effective systems so as deal with this problem. A lot of techniques have been suggested such as an Energy monitoring system which is an efficient technique to monitor the devices present inside a house or industries and provide notification about their abnormal behavior. Main aim of this project is to design a SmartPlug: energy monitoring and control system which can control the devices, show power consumed by the devices and calculate electricity bills based on the total energy usage depending upon different vendors available. Our system includes a Raspberry pi, Arduino board and sensors which will be connected to each and every device. We have developed a website so that the user can just login and have information about the energy consumption by all the devices. A graphical representation of the power consumed by the devices will make the user aware if power consumed by any device exceeds a certain level. This system can reduce the electricity bills to a large extent and will prove beneficial for the users as well. It is not restricted to limited devices and thus can also be used in industries by using more Raspberry pi micro-controllers.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115578177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7918002
M. Sajjan, Lingangouda Kulkarni, B. Anami, N. G. Gaddagimath
The Paper work presents an approaches to classify chilli class from their bulk sample chilli images using RGB and HSI and L∗a∗b Model colour features. A rule based algorithm is implemented taking into account, best RGB, HSI and L∗a∗b colour features, 9 colour features were computed for R-(red), G-(green), B-(Blue), H-(hue), S-(saturation), I-(intensity), L-(brightness), a-(chromaticity layer red&green), b-(chromaticity layer blue&yellow) images from each image samples. Best features were used as an input to classifier and tests were performed to identify best classification model. R-Average, Hue-Average, a-average Hue-mean, L∗_mean, a∗_mean and standard deviation values are considered for Rule Based Classification, We have considered four different varieties of Chilli, with stalk and without stalk. The recognition rate for RGB colour features chilli with stalk is 70.% and for chilli without stalk is 85% is obtained. The recognition rate for HSI colour features, chilli with stalk is 80% and for chilli without stalk is 90% is obtained. The recognition rate for L∗a∗b colour features chilli with stalk is 85% and for chilli without stalk is 95% is obtained.
论文工作提出了一种方法来分类辣椒类从他们的散装样本辣椒图像使用RGB和HSI和L * a * b模型颜色特征。考虑到最佳的RGB、HSI和L * A * b颜色特征，实现了一种基于规则的算法，对每个图像样本中的R-(红色)、G-(绿色)、b-(蓝色)、H-(色调)、S-(饱和度)、I-(强度)、L-(亮度)、A -(色度层红与绿)、b-(色度层蓝与黄)图像计算了9个颜色特征。使用最佳特征作为分类器的输入，并进行测试以确定最佳分类模型。基于规则的分类考虑了R-Average, Hue-Average, a-average Hue-mean, L∗_mean, a∗_mean和标准差值。我们考虑了四种不同的辣椒品种，有茎和没有茎。带柄辣椒RGB颜色特征的识别率为70。%，而无茎辣椒则为85%。该方法对HSI颜色特征的识别率为80%，对无柄辣椒的识别率为90%。对L * a * b颜色特征有柄辣椒的识别率为85%，对无柄辣椒的识别率为95%。
{"title":"A comparative analysis of color features for classification of bulk chilli","authors":"M. Sajjan, Lingangouda Kulkarni, B. Anami, N. G. Gaddagimath","doi":"10.1109/IC3I.2016.7918002","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918002","url":null,"abstract":"The Paper work presents an approaches to classify chilli class from their bulk sample chilli images using RGB and HSI and L∗a∗b Model colour features. A rule based algorithm is implemented taking into account, best RGB, HSI and L∗a∗b colour features, 9 colour features were computed for R-(red), G-(green), B-(Blue), H-(hue), S-(saturation), I-(intensity), L-(brightness), a-(chromaticity layer red&green), b-(chromaticity layer blue&yellow) images from each image samples. Best features were used as an input to classifier and tests were performed to identify best classification model. R-Average, Hue-Average, a-average Hue-mean, L∗_mean, a∗_mean and standard deviation values are considered for Rule Based Classification, We have considered four different varieties of Chilli, with stalk and without stalk. The recognition rate for RGB colour features chilli with stalk is 70.% and for chilli without stalk is 85% is obtained. The recognition rate for HSI colour features, chilli with stalk is 80% and for chilli without stalk is 90% is obtained. The recognition rate for L∗a∗b colour features chilli with stalk is 85% and for chilli without stalk is 95% is obtained.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115795191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7918013
R. K. Lenka, Rabindra Kumar Barik, Noopur Gupta, Syed Mohd Ali, A. Rath, Harishchandra Dubey
In this digitalised world where every information is stored, the data a are growing exponentially. It is estimated that data are doubles itself every two years. Geospatial data are one of the prime contributors to the big data scenario. There are numerous tools of the big data analytics. But not all the big data analytics tools are capabilities to handle geospatial big data. In the present paper, it has been discussed about the recent two popular open source geospatial big data analytical tools i.e. SpatialHadoop and GeoSpark which can be used for analysis and process the geospatial big data in efficient manner. It has compared the architectural view of SpatialHadoop and GeoSpark. Through the architectural comparison, it has also summarised the merits and demerits of these tools according the execution times and volume of the data which has been used.
{"title":"Comparative analysis of SpatialHadoop and GeoSpark for geospatial big data analytics","authors":"R. K. Lenka, Rabindra Kumar Barik, Noopur Gupta, Syed Mohd Ali, A. Rath, Harishchandra Dubey","doi":"10.1109/IC3I.2016.7918013","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918013","url":null,"abstract":"In this digitalised world where every information is stored, the data a are growing exponentially. It is estimated that data are doubles itself every two years. Geospatial data are one of the prime contributors to the big data scenario. There are numerous tools of the big data analytics. But not all the big data analytics tools are capabilities to handle geospatial big data. In the present paper, it has been discussed about the recent two popular open source geospatial big data analytical tools i.e. SpatialHadoop and GeoSpark which can be used for analysis and process the geospatial big data in efficient manner. It has compared the architectural view of SpatialHadoop and GeoSpark. Through the architectural comparison, it has also summarised the merits and demerits of these tools according the execution times and volume of the data which has been used.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114443992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7917936
Tribid Debbarma, K. Chandrasekaran
Current computing systems comes with different power management and profiling tools to run the system in its optimal state. Though the hardware systems have advanced a lot in-terms of energy efficiency and computing power, the software's energy and resources efficiency is still lacking behind. In many cases due to poor/bad designing of software it cannot utilize the hardware efficiently and end up a system with high energy consumption. To address this issues software' s need a careful profiling in its development process to make the software efficient and less resource hungry. In this paper we compared some of the profiling tools available as Free and Open Source Software (FOSS) which are used under Linux environment. These software tools uses different strategies and have different accuracies in finding a system and software programs behavior and its resource requirements. Their performance and resource overheads such as memory, CPU, disk consumption were compared and results are summarized for making the tools selection easier to researchers and developers alike. Another important issue with these tools are that, their reporting formats are not always easy to understand and it makes them less user friendly.
{"title":"Comparison of FOSS based profiling tools in Linux operating system environment","authors":"Tribid Debbarma, K. Chandrasekaran","doi":"10.1109/IC3I.2016.7917936","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917936","url":null,"abstract":"Current computing systems comes with different power management and profiling tools to run the system in its optimal state. Though the hardware systems have advanced a lot in-terms of energy efficiency and computing power, the software's energy and resources efficiency is still lacking behind. In many cases due to poor/bad designing of software it cannot utilize the hardware efficiently and end up a system with high energy consumption. To address this issues software' s need a careful profiling in its development process to make the software efficient and less resource hungry. In this paper we compared some of the profiling tools available as Free and Open Source Software (FOSS) which are used under Linux environment. These software tools uses different strategies and have different accuracies in finding a system and software programs behavior and its resource requirements. Their performance and resource overheads such as memory, CPU, disk consumption were compared and results are summarized for making the tools selection easier to researchers and developers alike. Another important issue with these tools are that, their reporting formats are not always easy to understand and it makes them less user friendly.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114871226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7917941
Anand Shanker Tewari, Naina Yadav, A. Barman
Recommender System is a set of programs and techniques used for predicting items or rating of items in fields in which a user may be interested. The objectives of recommendation techniques are to assess and mitigate the problem of information overload where a user is not able to receive a clear result of his search. From these recommendations may help in various decision-making processes such as which items to buy, which music to listen, or which online news to read and which research paper to read etc. In this paper, we introduce a new recommendation model which takes into consideration a user's information based on tagging. The proposed approach offers significant advantages in terms of improving the recommendation quality for movies.
{"title":"Efficient tag based personalised collaborative movie reccommendation system","authors":"Anand Shanker Tewari, Naina Yadav, A. Barman","doi":"10.1109/IC3I.2016.7917941","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917941","url":null,"abstract":"Recommender System is a set of programs and techniques used for predicting items or rating of items in fields in which a user may be interested. The objectives of recommendation techniques are to assess and mitigate the problem of information overload where a user is not able to receive a clear result of his search. From these recommendations may help in various decision-making processes such as which items to buy, which music to listen, or which online news to read and which research paper to read etc. In this paper, we introduce a new recommendation model which takes into consideration a user's information based on tagging. The proposed approach offers significant advantages in terms of improving the recommendation quality for movies.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122553796","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7918042
Ashwin S. Ravi, Akshay Sarvesh, K. George
Financial market prediction, being a complex problem, has intrigued researchers for a long time. In this paper, we try to address the problem by treating it as a time-series and employing artificial neural networks (ANNs) to forecast the future stock value. Two types of neural network learning algorithms are illustrated for the current application: The backward propagation algorithm and an online sequential learning algorithm. Several training strategies are also proposed. The principle objective of this paper is to demonstrate the improvement in predictive performance using multiple neural networks. Towards this, an attempt is made at predicting the SENSEX value of the Bombay Stock Exchange.
{"title":"Online multiple-model approach to prediction for financial markets","authors":"Ashwin S. Ravi, Akshay Sarvesh, K. George","doi":"10.1109/IC3I.2016.7918042","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918042","url":null,"abstract":"Financial market prediction, being a complex problem, has intrigued researchers for a long time. In this paper, we try to address the problem by treating it as a time-series and employing artificial neural networks (ANNs) to forecast the future stock value. Two types of neural network learning algorithms are illustrated for the current application: The backward propagation algorithm and an online sequential learning algorithm. Several training strategies are also proposed. The principle objective of this paper is to demonstrate the improvement in predictive performance using multiple neural networks. Towards this, an attempt is made at predicting the SENSEX value of the Bombay Stock Exchange.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122658586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7917938
Odunayo Fadahunsi, Mithileysh Sathiyanarayanan
Business processes are modelled, visualized and analyzed using process maps, and implemented using productivity suites such as MS Visio, Business Process Extraction Language (BPEL), and some other productivity suites. However, the problem with such current process models is that it is static. Business process tasks modelled using non-interactive visualisation tool does not allow active engagement of the analyst or users developing the process maps with the process maps to determine what if scenarios. The constant changes to existing business processes are enforced due to several external and internal factors with an objective of improving process efficiency and effectiveness. So, we developed a Petri net process model to visualise business process tasks and allow interaction with the process model to allow the user or analyst to compute from an ‘as-is’ business process model to a ‘to be’ business process model that would optimise both the time it takes to complete the process (process duration) and the cost of executing the business process tasks (process costs). Petri nets whilst a form of visualisation of tasks also enables mathematical modelling of the process model. Methodology: We applied mathematical combination theory, combined with Petri nets formalism to create design options in generating alternative business process options with different process duration and cost factors to enable the process modeller or analyst make a better decision. We visualized and evaluated different dynamic ‘transitions’ sequence generated based on best duration and cost, modelled the ‘design options’ in the Platform Independent Petri Net editor (PIPE2) tool and performed further analysis of the Petri net properties of the modelled processes. Finally, we discussed how to visualize and analyze ‘design options’ and provided certain views on business processes. Results: We demonstrated through our research that Petri nets could be used in visualising different process tasks as and users can interact with the process model. This was implemented using a case study of a supermarket chain business process. This research helped in identifying six out of the eleven business process ‘design options’ generated are best optimised each with process duration of 28 hours and process cost of 35.57 dollars. However, further qualitative analysis of these optimised ‘design options’ effectively resulted in only one out of the eleven as the most optimal process design indicating the selected revised business process. The visualization is helpful in analyzing dynamic transitions for exploring and understanding complex behaviour in the business processes. The results suggest that the combination of mathematical approach in conjunction with the analytical properties of Petri Nets could be used to generate unbiased alternative business process designs that can be further evaluated by the business process re-engineer or analyst in order to revise an existing business process.
{"title":"Visualizing and analyzing dynamic business process using Petri nets","authors":"Odunayo Fadahunsi, Mithileysh Sathiyanarayanan","doi":"10.1109/IC3I.2016.7917938","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917938","url":null,"abstract":"Business processes are modelled, visualized and analyzed using process maps, and implemented using productivity suites such as MS Visio, Business Process Extraction Language (BPEL), and some other productivity suites. However, the problem with such current process models is that it is static. Business process tasks modelled using non-interactive visualisation tool does not allow active engagement of the analyst or users developing the process maps with the process maps to determine what if scenarios. The constant changes to existing business processes are enforced due to several external and internal factors with an objective of improving process efficiency and effectiveness. So, we developed a Petri net process model to visualise business process tasks and allow interaction with the process model to allow the user or analyst to compute from an ‘as-is’ business process model to a ‘to be’ business process model that would optimise both the time it takes to complete the process (process duration) and the cost of executing the business process tasks (process costs). Petri nets whilst a form of visualisation of tasks also enables mathematical modelling of the process model. Methodology: We applied mathematical combination theory, combined with Petri nets formalism to create design options in generating alternative business process options with different process duration and cost factors to enable the process modeller or analyst make a better decision. We visualized and evaluated different dynamic ‘transitions’ sequence generated based on best duration and cost, modelled the ‘design options’ in the Platform Independent Petri Net editor (PIPE2) tool and performed further analysis of the Petri net properties of the modelled processes. Finally, we discussed how to visualize and analyze ‘design options’ and provided certain views on business processes. Results: We demonstrated through our research that Petri nets could be used in visualising different process tasks as and users can interact with the process model. This was implemented using a case study of a supermarket chain business process. This research helped in identifying six out of the eleven business process ‘design options’ generated are best optimised each with process duration of 28 hours and process cost of 35.57 dollars. However, further qualitative analysis of these optimised ‘design options’ effectively resulted in only one out of the eleven as the most optimal process design indicating the selected revised business process. The visualization is helpful in analyzing dynamic transitions for exploring and understanding complex behaviour in the business processes. The results suggest that the combination of mathematical approach in conjunction with the analytical properties of Petri Nets could be used to generate unbiased alternative business process designs that can be further evaluated by the business process re-engineer or analyst in order to revise an existing business process.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125123515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7918801
Ancy Gonsalves, M. Narvekar
With the advancements of technology in wireless environment coupled with cheap cost of smart phones, mobile services such as net surfing, chatting, social networking etc, have become an integral part of day to day life. The user wants data as fast as possible. Due to constraints such as limited bandwidth and limited network connectivity it is therefore necessary to address issues of query processing in wireless distributed environment. This paper investigates various approaches for processing queries in mobile environment.
{"title":"A review of approaches for processing of queries in distributed mobile environment","authors":"Ancy Gonsalves, M. Narvekar","doi":"10.1109/IC3I.2016.7918801","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7918801","url":null,"abstract":"With the advancements of technology in wireless environment coupled with cheap cost of smart phones, mobile services such as net surfing, chatting, social networking etc, have become an integral part of day to day life. The user wants data as fast as possible. Due to constraints such as limited bandwidth and limited network connectivity it is therefore necessary to address issues of query processing in wireless distributed environment. This paper investigates various approaches for processing queries in mobile environment.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129754142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-12-01DOI: 10.1109/IC3I.2016.7917937
Gaurav Khatwani, Praveen Ranjan Srivastava
As information technology has evolved, digital media has become increasingly fragmented and has started to proliferate multiple information channels. In order to optimize on the various digital channels that are available, organizations are increasingly recognizing the importance of gaining solid insights into consumer behavior and preferences that can be translated into marketing strategies. Specifically, they are keen to identify which information channels they can use to effectively reach and communicate with their target market. This paper describes how fuzzy AHP and TOPSIS can be used to develop a new method of decision making that will enable an effective and systematic decision process. This paper provides a demonstration of the underpinning working methodology of the proposed model by examining an illustrative example that is based on the decision process Internet users employ during their online search for information.
{"title":"Consumer preferences of information search channel and the role of information technology","authors":"Gaurav Khatwani, Praveen Ranjan Srivastava","doi":"10.1109/IC3I.2016.7917937","DOIUrl":"https://doi.org/10.1109/IC3I.2016.7917937","url":null,"abstract":"As information technology has evolved, digital media has become increasingly fragmented and has started to proliferate multiple information channels. In order to optimize on the various digital channels that are available, organizations are increasingly recognizing the importance of gaining solid insights into consumer behavior and preferences that can be translated into marketing strategies. Specifically, they are keen to identify which information channels they can use to effectively reach and communicate with their target market. This paper describes how fuzzy AHP and TOPSIS can be used to develop a new method of decision making that will enable an effective and systematic decision process. This paper provides a demonstration of the underpinning working methodology of the proposed model by examining an illustrative example that is based on the decision process Internet users employ during their online search for information.","PeriodicalId":305971,"journal":{"name":"2016 2nd International Conference on Contemporary Computing and Informatics (IC3I)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121855215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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