Pub Date : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887774
Ankit Mundra, N. Rakesh, S. P. Ghrera
Nowadays cyber forensics is the field which is dealing with several online fraudulent cases. Increase in internet practice is further enhancing the possibilities of online frauds. In our previous research we have proposed Online Hybrid Model (OHM) which prevents Online Auction, Non-Delivery/Merchandise, Card theft and Identity theft frauds. If prevention is not possible (or fraud occurs in in-auction process like collusive bidding, shill bidding or/and multiple bidding) then OHM further suggests fraud detection and elimination technique. Thus OHM is responsible to regularly monitor interaction between users and web servers. In this paper we have elaborated the requirement engineering and working of various OHM modules. We have shown the robustness of these modules in terms of logical design and their operational interaction. Furthermore, we have evaluated the performance of this model and have shown that OHM is highly effective online fraud prevention/detection/elimination approach.
{"title":"Empirical study of online hybrid model for internet frauds prevention and detection","authors":"Ankit Mundra, N. Rakesh, S. P. Ghrera","doi":"10.1109/ICHCI-IEEE.2013.6887774","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887774","url":null,"abstract":"Nowadays cyber forensics is the field which is dealing with several online fraudulent cases. Increase in internet practice is further enhancing the possibilities of online frauds. In our previous research we have proposed Online Hybrid Model (OHM) which prevents Online Auction, Non-Delivery/Merchandise, Card theft and Identity theft frauds. If prevention is not possible (or fraud occurs in in-auction process like collusive bidding, shill bidding or/and multiple bidding) then OHM further suggests fraud detection and elimination technique. Thus OHM is responsible to regularly monitor interaction between users and web servers. In this paper we have elaborated the requirement engineering and working of various OHM modules. We have shown the robustness of these modules in terms of logical design and their operational interaction. Furthermore, we have evaluated the performance of this model and have shown that OHM is highly effective online fraud prevention/detection/elimination approach.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114659462","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887813
A. Varghese, P. Bajaj, L. Malik
Traffic on urban roads is increasing day by day. In India there has been a sudden rise in vehicles on road leading to several problems such as loss of time, increased fuel consumption, wasted fuel increasing air pollution and carbon dioxide emissions, noise pollution, inconvenience caused due to long queues and increased cost. Intelligent methods have not yet been adopted on Indian roads. Most of the cities rely on pre-timed control. This paper presents an intelligent system for traffic flow prediction and control through green signaling. Live Data from upstream detectors and historical data of a particular junction are input to the fuzzy control which predicts the estimated flow at the intersection. Based on this estimated flow Particle Swarm Optimizer outputs the optimized green timing for the intersection. TSIS-CORSIM is used for simulation of the system. The results show that the proposed system results in lesser delay than the pre-timed and actuated controller of CORSIM.
{"title":"Design of adaptive traffic flow control system with soft computing tools for green signaling","authors":"A. Varghese, P. Bajaj, L. Malik","doi":"10.1109/ICHCI-IEEE.2013.6887813","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887813","url":null,"abstract":"Traffic on urban roads is increasing day by day. In India there has been a sudden rise in vehicles on road leading to several problems such as loss of time, increased fuel consumption, wasted fuel increasing air pollution and carbon dioxide emissions, noise pollution, inconvenience caused due to long queues and increased cost. Intelligent methods have not yet been adopted on Indian roads. Most of the cities rely on pre-timed control. This paper presents an intelligent system for traffic flow prediction and control through green signaling. Live Data from upstream detectors and historical data of a particular junction are input to the fuzzy control which predicts the estimated flow at the intersection. Based on this estimated flow Particle Swarm Optimizer outputs the optimized green timing for the intersection. TSIS-CORSIM is used for simulation of the system. The results show that the proposed system results in lesser delay than the pre-timed and actuated controller of CORSIM.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116786580","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887806
S. Dwivedi, V. Parshav, N. Sharma, Pratik Kumar, Shubham Chhabra, R. Goudar
In India and other countries, the situation of the small landholders is becoming worse day by day. Overall they contribute more than 50% of the crop that is eaten in the world but still they are not rising. SIMPLIFIED E-FARMING SUPPORT will help them make better use of their land and get better production and profit. Its main motive is to reach out to farmers and disseminating relevant and timely information to them. The objective is to simply bring to small farmers the integration of politics, technology and capital. In this proposed research work, API's of FAO are made to interact with the algorithm that runs for efficient and useful data that is to be provided to the illiterate farmers, in a manner that they can understand it. Information in regional language, weather forecast, GPS enabled device provided to the small farmers with audio and visual support. As the farmer enables the device, it will show a very simplified result according to the type of his query. The application system provides client users with all the information that is relevant for his land, search function, on-line crop management, statistical summaries of profit that they can make by growing a particular crop on their land, statistical summary about their land, the recommendations that FAO makes to increase productivity not by much use of “Water” but rather much use of “Fertilizers”. The system facilitates efficient management of land, monitoring it and providing data by using GPS and Web approaches. The interface of the device will be more of “picture based” rather than “text based” that will make even the illiterate farmers understand it and use it. The project focuses mainly the small landholders who can really bring miracles if they are given certain guidelines about the proper management of their land and information about the crops best suited for their land. The project focuses not only providing a free callback service for the small farmers but also certain videos and audios will be provided so they can visualize how things need to be performed on land. Video conferencing is the most important aspect of this as farmer can query via video conference and show if he is facing any problem with crop and land. For example, how to use a particular pesticide, how to seed the land for better output and so on.
{"title":"Using technology to make farming easier and better: Simplified E-Farming Support (SEFS)","authors":"S. Dwivedi, V. Parshav, N. Sharma, Pratik Kumar, Shubham Chhabra, R. Goudar","doi":"10.1109/ICHCI-IEEE.2013.6887806","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887806","url":null,"abstract":"In India and other countries, the situation of the small landholders is becoming worse day by day. Overall they contribute more than 50% of the crop that is eaten in the world but still they are not rising. SIMPLIFIED E-FARMING SUPPORT will help them make better use of their land and get better production and profit. Its main motive is to reach out to farmers and disseminating relevant and timely information to them. The objective is to simply bring to small farmers the integration of politics, technology and capital. In this proposed research work, API's of FAO are made to interact with the algorithm that runs for efficient and useful data that is to be provided to the illiterate farmers, in a manner that they can understand it. Information in regional language, weather forecast, GPS enabled device provided to the small farmers with audio and visual support. As the farmer enables the device, it will show a very simplified result according to the type of his query. The application system provides client users with all the information that is relevant for his land, search function, on-line crop management, statistical summaries of profit that they can make by growing a particular crop on their land, statistical summary about their land, the recommendations that FAO makes to increase productivity not by much use of “Water” but rather much use of “Fertilizers”. The system facilitates efficient management of land, monitoring it and providing data by using GPS and Web approaches. The interface of the device will be more of “picture based” rather than “text based” that will make even the illiterate farmers understand it and use it. The project focuses mainly the small landholders who can really bring miracles if they are given certain guidelines about the proper management of their land and information about the crops best suited for their land. The project focuses not only providing a free callback service for the small farmers but also certain videos and audios will be provided so they can visualize how things need to be performed on land. Video conferencing is the most important aspect of this as farmer can query via video conference and show if he is facing any problem with crop and land. For example, how to use a particular pesticide, how to seed the land for better output and so on.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129788084","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887820
L. V. Narasimha Prasad, P. Murthy, C. K. K. Reddy
Earthquake is a natural calamity, also known as quake or tremor, occurs due to release of sudden energy which is stored under stress field in the earth's crust. The stored energy is released due to imbalance in stress filed which creates three events called foreshock, main shock and aftershock. Each event is associated with some waves such as primary waves, secondary waves, Rayleigh waves, Stoneley waves and Love waves. As these waves travels from interior of earth to surface they degrades in magnitude and intensity, only a part of the original waves reach the earth surface originated in earth's crust which are recorded as seismograph. Till to date, many of the researchers applied different techniques like prediction based on radon emissions, prediction using extraction of instantaneous frequency from underground water. As the earthquake occurs due to transmission of waves, hence feature extraction from the seismic signal is the efficient approach to predict the earthquake. The parameters of seismic signal are analyzed by using fast Fourier transform spectrum analysis. The magnitude which forms the base of analysis is used for the detection of earthquake. The minor quakes are neglected and the surface wave magnitude of the quakes that show impact on earth's surface is calculated and found it as 4.0. Hence, the occurrence of earthquake can be predicted if the magnitude exceeds 4.0.
{"title":"Analysis of magnitude for earthquake detection using primary waves and secondary waves","authors":"L. V. Narasimha Prasad, P. Murthy, C. K. K. Reddy","doi":"10.1109/ICHCI-IEEE.2013.6887820","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887820","url":null,"abstract":"Earthquake is a natural calamity, also known as quake or tremor, occurs due to release of sudden energy which is stored under stress field in the earth's crust. The stored energy is released due to imbalance in stress filed which creates three events called foreshock, main shock and aftershock. Each event is associated with some waves such as primary waves, secondary waves, Rayleigh waves, Stoneley waves and Love waves. As these waves travels from interior of earth to surface they degrades in magnitude and intensity, only a part of the original waves reach the earth surface originated in earth's crust which are recorded as seismograph. Till to date, many of the researchers applied different techniques like prediction based on radon emissions, prediction using extraction of instantaneous frequency from underground water. As the earthquake occurs due to transmission of waves, hence feature extraction from the seismic signal is the efficient approach to predict the earthquake. The parameters of seismic signal are analyzed by using fast Fourier transform spectrum analysis. The magnitude which forms the base of analysis is used for the detection of earthquake. The minor quakes are neglected and the surface wave magnitude of the quakes that show impact on earth's surface is calculated and found it as 4.0. Hence, the occurrence of earthquake can be predicted if the magnitude exceeds 4.0.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125390231","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887781
S. G. Bagul, R. Shastri
The idea of the Speaker Recognition Project is to implement a recognizer which can identify a person by processing his/her voice. The basic goal of the project is to recognize and classify the speeches of different persons. This classification is mainly based on extracting several key features like Mel Frequency Cepstral Coefficients (MFCC's) from the speech signals of those persons by using the process of feature extraction method. The above features may consist of pitch, amplitude, frequency etc. Using a statistical model like Gaussian mixture model (GMM) and features extracted from those speech signals we build a unique identity for each person who enrolled for speaker recognition. Estimation and Maximization algorithm are used, an elegant and powerful method for finding the maximum likelihood solution for a model with latent variables, to test the later speakers against the database of all speakers who enrolled in the database. Use of Fractional Fourier Transform for feature extraction is also suggested improving the speaker recognition efficiency.
说话人识别项目的思想是实现一个识别器，它可以通过处理他/她的声音来识别一个人。该项目的基本目标是识别和分类不同人的讲话。这种分类方法主要是利用特征提取的过程，从这些人的语音信号中提取出一些关键特征，比如Mel Frequency Cepstral Coefficients (MFCC’s)。上述特征可能包括音高、幅度、频率等。使用高斯混合模型(GMM)等统计模型和从这些语音信号中提取的特征，我们为每个注册进行说话人识别的人建立了唯一的身份。使用估计和最大化算法，这是一种优雅而强大的方法，用于寻找具有潜在变量的模型的最大似然解，以根据数据库中登记的所有演讲者的数据库测试后来的演讲者。利用分数阶傅立叶变换进行特征提取，提高了说话人识别效率。
{"title":"Text independent speaker recognition system using GMM","authors":"S. G. Bagul, R. Shastri","doi":"10.1109/ICHCI-IEEE.2013.6887781","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887781","url":null,"abstract":"The idea of the Speaker Recognition Project is to implement a recognizer which can identify a person by processing his/her voice. The basic goal of the project is to recognize and classify the speeches of different persons. This classification is mainly based on extracting several key features like Mel Frequency Cepstral Coefficients (MFCC's) from the speech signals of those persons by using the process of feature extraction method. The above features may consist of pitch, amplitude, frequency etc. Using a statistical model like Gaussian mixture model (GMM) and features extracted from those speech signals we build a unique identity for each person who enrolled for speaker recognition. Estimation and Maximization algorithm are used, an elegant and powerful method for finding the maximum likelihood solution for a model with latent variables, to test the later speakers against the database of all speakers who enrolled in the database. Use of Fractional Fourier Transform for feature extraction is also suggested improving the speaker recognition efficiency.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120944795","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887821
S. Chokkalingam, K. Komathy
Analyzing the hidden information from the images are helpful to identify the various causes. In general processing of images includes Pre-processing, segmentation, Feature extraction and Classification. Significance of classifier is essential since results are always based on the classifier. The ultimate aim is to explain how WEKA tool is used for rheumatoid arthritis and investigate the performance of the various classifiers for huge data. In our method we are distinctively give attention to the classification methods like ADTree, Best First Decision tree(BF), Decision stump, J48Pruned tree, J48 Graft Pruned tree, Least Absolute Deviation regression trees (LAD), Logistic Model Tree(LMT), Naïve-Bayes (NB), Random tree, Random forest tree, CART Decision tree. The features like Area, perimeter, circularity, integrated density, Median, Skewness, Raw integrated density, and Roundness and solidity are obtained from the Lymphocytes images and formed the data set. Different classifier is applied for RA facet for Validation. RA facet contains 108 rows and 10 columns. Using classifier to find out the various values like Relative Absolute Error, and Kappa Statistic, Mean Absolute Error, Root Mean Squared Error and Root Relative Squared Error. From those values compare with all the methods ADT classifier is suggested for use in huge data.
分析图像中的隐藏信息有助于识别各种原因。一般的图像处理包括预处理、分割、特征提取和分类。分类器的意义是至关重要的，因为结果总是基于分类器。最终目的是解释WEKA工具如何用于类风湿关节炎，并研究各种分类器对大数据的性能。在我们的方法中，我们特别关注ADTree，最佳第一决策树(BF)，决策树桩，J48剪枝树，J48嫁接剪枝树，最小绝对偏差回归树(LAD)， Logistic模型树(LMT)， Naïve-Bayes (NB)，随机树，随机森林树，CART决策树等分类方法。从淋巴细胞图像中获取Area、perimeter、circularity、integrated density、Median、Skewness、Raw integrated density、Roundness and solid等特征，形成数据集。对RA面采用不同的分类器进行验证。RA facet包含108行和10列。使用分类器找出相对绝对误差、Kappa统计量、平均绝对误差、均方根误差和根相对平方误差等各种值。通过与各种方法的比较，建议在海量数据中使用ADT分类器。
{"title":"Comparison of different classifier in WEKA for rheumatoid arthritis","authors":"S. Chokkalingam, K. Komathy","doi":"10.1109/ICHCI-IEEE.2013.6887821","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887821","url":null,"abstract":"Analyzing the hidden information from the images are helpful to identify the various causes. In general processing of images includes Pre-processing, segmentation, Feature extraction and Classification. Significance of classifier is essential since results are always based on the classifier. The ultimate aim is to explain how WEKA tool is used for rheumatoid arthritis and investigate the performance of the various classifiers for huge data. In our method we are distinctively give attention to the classification methods like ADTree, Best First Decision tree(BF), Decision stump, J48Pruned tree, J48 Graft Pruned tree, Least Absolute Deviation regression trees (LAD), Logistic Model Tree(LMT), Naïve-Bayes (NB), Random tree, Random forest tree, CART Decision tree. The features like Area, perimeter, circularity, integrated density, Median, Skewness, Raw integrated density, and Roundness and solidity are obtained from the Lymphocytes images and formed the data set. Different classifier is applied for RA facet for Validation. RA facet contains 108 rows and 10 columns. Using classifier to find out the various values like Relative Absolute Error, and Kappa Statistic, Mean Absolute Error, Root Mean Squared Error and Root Relative Squared Error. From those values compare with all the methods ADT classifier is suggested for use in huge data.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121329449","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887788
Subhadeep Karan
Brain computer interface (BCI) is a methodology of utilizing the electrophysiological measures or the electroencephalographic (EEG) activity of the brain function in order to communicate with the exterior world through a non-muscular channel. It has become one of the primarily focussed fields of research that includes challenges for the various fields like Artificial intelligence, Cognitive neuroscience, user interface and signal processing. Spelling can be considered as the first actual BCI application and still remain a big challenge to the community. Generally, for communication application in BCI, this application acts as benchmark. In this survey paper, the focus is on the contemporary tactics used for the spelling words which comprises of methods based on P300, motor imagery and steady state visual evoked potential (SSVEP). This paper also highlights some hurdles in the current BCI spellers and virtual keyboards.
{"title":"A literature survey on the contemporary methodologies used in brain computer interface for spelling application","authors":"Subhadeep Karan","doi":"10.1109/ICHCI-IEEE.2013.6887788","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887788","url":null,"abstract":"Brain computer interface (BCI) is a methodology of utilizing the electrophysiological measures or the electroencephalographic (EEG) activity of the brain function in order to communicate with the exterior world through a non-muscular channel. It has become one of the primarily focussed fields of research that includes challenges for the various fields like Artificial intelligence, Cognitive neuroscience, user interface and signal processing. Spelling can be considered as the first actual BCI application and still remain a big challenge to the community. Generally, for communication application in BCI, this application acts as benchmark. In this survey paper, the focus is on the contemporary tactics used for the spelling words which comprises of methods based on P300, motor imagery and steady state visual evoked potential (SSVEP). This paper also highlights some hurdles in the current BCI spellers and virtual keyboards.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116011186","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887809
A. Bandi, Phillip J. Heeler
Background: Software development methodologies adapt customer collaboration in the software development. Because of this, end users of the software participate in the usability testing to give their feedback to the analysts. Objective: The goal of this paper is to explore the design issues of the usability testing from the user's perspective. Method: We followed a systematic approach from the software engineering perspective in preparing the artifacts and conducting the usability testing by defining suitable metrics in a case study. Results: We identified several design issues while performing the usability testing. Metric values and hit-rates of design issues are presented. We also highlighted our lessons learned and recommendations based on our study. Limitations: Our case study is medium sized and results may not be applicable to the industry applications. However, the lessons learned and recommendations from this study are applicable. Conclusion: Users cannot finish complex tasks with no unanswered questions and the identified design issues help in improving user interfaces.
{"title":"Usability testing: A software engineering perspective","authors":"A. Bandi, Phillip J. Heeler","doi":"10.1109/ICHCI-IEEE.2013.6887809","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887809","url":null,"abstract":"Background: Software development methodologies adapt customer collaboration in the software development. Because of this, end users of the software participate in the usability testing to give their feedback to the analysts. Objective: The goal of this paper is to explore the design issues of the usability testing from the user's perspective. Method: We followed a systematic approach from the software engineering perspective in preparing the artifacts and conducting the usability testing by defining suitable metrics in a case study. Results: We identified several design issues while performing the usability testing. Metric values and hit-rates of design issues are presented. We also highlighted our lessons learned and recommendations based on our study. Limitations: Our case study is medium sized and results may not be applicable to the industry applications. However, the lessons learned and recommendations from this study are applicable. Conclusion: Users cannot finish complex tasks with no unanswered questions and the identified design issues help in improving user interfaces.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768151","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887776
Geetanjali Rathee, Ankit Mundra, N. Rakesh, S. P. Ghrera
Several approaches to effectively perform communication in Wireless Mesh Network (WMN) have been proposed. Further communication failures and possibilities of minimum services during such failures are very hard to maintain. Recently resilient multicasting and Resilient Opportunistic Mesh Routing for WMN (ROMER) approaches proposed routing and resilient methods over WMN. Resilient multicasting approach establishes two node disjoint path between each source-destination pair. But this approach can immune from any single link or intermediate node failure. While ROMER approach provides redundant copies of data in randomized manner to increase WMN throughput. We have proposed Buffer Based Routing method in which instead of maintaining routing table at each node we provide buffering at each node which reduces routing cost. At specific interval of time (after specified communication steps) it clears the buffer to increase performance and prevent overhead in network. Using this approach we effectively perform resiliency and exploits advantages o fWMN. The performance of the proposed approach is studied by evaluating the cost involved in routing and resiliency using these approaches and compared with the proposed approach.
{"title":"Buffered based routing and resiliency approach for WMN","authors":"Geetanjali Rathee, Ankit Mundra, N. Rakesh, S. P. Ghrera","doi":"10.1109/ICHCI-IEEE.2013.6887776","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887776","url":null,"abstract":"Several approaches to effectively perform communication in Wireless Mesh Network (WMN) have been proposed. Further communication failures and possibilities of minimum services during such failures are very hard to maintain. Recently resilient multicasting and Resilient Opportunistic Mesh Routing for WMN (ROMER) approaches proposed routing and resilient methods over WMN. Resilient multicasting approach establishes two node disjoint path between each source-destination pair. But this approach can immune from any single link or intermediate node failure. While ROMER approach provides redundant copies of data in randomized manner to increase WMN throughput. We have proposed Buffer Based Routing method in which instead of maintaining routing table at each node we provide buffering at each node which reduces routing cost. At specific interval of time (after specified communication steps) it clears the buffer to increase performance and prevent overhead in network. Using this approach we effectively perform resiliency and exploits advantages o fWMN. The performance of the proposed approach is studied by evaluating the cost involved in routing and resiliency using these approaches and compared with the proposed approach.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133080247","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 : 2013-08-01DOI: 10.1109/ICHCI-IEEE.2013.6887791
K. Santhi, B. Parvathavarthini
Wireless Networks play a vital role and has become an epicenter of all communication networks. In Ad-hoc networks, we need to enhance the effectiveness of dynamic information exchange in existing routing protocols with additional security measures. Our present research work is focused on developing a system that performs leverage search and propagation embedded with an enhanced security in dynamic routing. We are implementing dynamic routing path techniques for onward forwarding of information as divided packets through randomly selected routing paths that can deliver data to the destination node. The proposed analytical work achieves considerably secured packet deliveries between a source node and the corresponding destination node. However, the proposed randomization from routing table in our work is compatible with popular routing protocols, such as Ad-hoc On-demand Distance Vector (AODV) in Wireless Networks. A thorough analytical study on the proposed algorithm is presented with parallel simulation experiments to validate the capability and optimal efficiency of this algorithm.
{"title":"Randomized routing techniques for Ad-hoc on-demand distance vector of Wireless Networks","authors":"K. Santhi, B. Parvathavarthini","doi":"10.1109/ICHCI-IEEE.2013.6887791","DOIUrl":"https://doi.org/10.1109/ICHCI-IEEE.2013.6887791","url":null,"abstract":"Wireless Networks play a vital role and has become an epicenter of all communication networks. In Ad-hoc networks, we need to enhance the effectiveness of dynamic information exchange in existing routing protocols with additional security measures. Our present research work is focused on developing a system that performs leverage search and propagation embedded with an enhanced security in dynamic routing. We are implementing dynamic routing path techniques for onward forwarding of information as divided packets through randomly selected routing paths that can deliver data to the destination node. The proposed analytical work achieves considerably secured packet deliveries between a source node and the corresponding destination node. However, the proposed randomization from routing table in our work is compatible with popular routing protocols, such as Ad-hoc On-demand Distance Vector (AODV) in Wireless Networks. A thorough analytical study on the proposed algorithm is presented with parallel simulation experiments to validate the capability and optimal efficiency of this algorithm.","PeriodicalId":419263,"journal":{"name":"2013 International Conference on Human Computer Interactions (ICHCI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115265915","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：