2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)最新文献_第8页

Social re-ranking of image based on visual and semantic information 基于视觉和语义信息的图像社会重排序

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204160

Prachi Phursutkar, K. Wanjale

引用次数: 0

Performance of L-SC receiver over K-fading channels L-SC接收机在k衰落信道上的性能

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203908

R. Subadar, P. Das

引用次数: 5

Classification of male and female speech using perceptual features 基于感知特征的男女语音分类

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204065

Saptarshi Sengupta, Ghazaala Yasmin, Arijit Ghosal

{"title":"Classification of male and female speech using perceptual features","authors":"Saptarshi Sengupta, Ghazaala Yasmin, Arijit Ghosal","doi":"10.1109/ICCCNT.2017.8204065","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204065","url":null,"abstract":"Gender identification systems nowadays, are gaining momentum in terms of popularity because of their wide areas of application. They can be used in a variety of fields ranging from security and authentication services to content based information retrieval and also criminal investigations. Gender detection has started to gain importance because of the fact that recent studies conducted showed that the performance of gender dependent speech recognition models performs much better than gender independent models. In the proposed work, we aim to build such a system involving perceptual audio features such as pitch and tempo based features, short time energy etc., which are used to train classifiers to differentiate between the two classes of gender. We have selected such a combination of features as because previous works focused only on either pitch approach, MFCC approach etc., whereas our work is perhaps one of the first involving a combination of several such perceptual features. The system was tested on a wide range of speech files and was shown to be yielding promising results.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"5 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86689515","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}

引用次数: 6

A study of IEEE 802.11aa IEEE 802.11aa标准研究

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203917

B. Vijay, B. Malarkodi

引用次数: 2

An image registration approach to study the convergence of particle swarm optimization algorithm with non-linear inertia weight variation 采用图像配准方法研究具有非线性惯性权值变化的粒子群优化算法的收敛性

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204075

Sanjeev Saxena, M. Pohit

引用次数: 1

Domain-specific sentiment analysis approaches for code-mixed social network data 面向代码混合社交网络数据的特定领域情感分析方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204074

A. Pravalika, Vishvesh Oza, N. Meghana, Sowmya S Kamath

{"title":"Domain-specific sentiment analysis approaches for code-mixed social network data","authors":"A. Pravalika, Vishvesh Oza, N. Meghana, Sowmya S Kamath","doi":"10.1109/ICCCNT.2017.8204074","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204074","url":null,"abstract":"Sentiment Analysis is one of the prominent research fields in Natural Language Processing because of its widespread real-world applications. Customer preferences, options and experiences can be analyzed through social media, reviews, blogs and other online social networking site data. However, due to increasing informal usage of local languages in social media platforms, multi-lingual or code-mixed data is fast becoming a common occurrence. Mixed code is generated when users use more than a single language in social network comments. Such data presents a significant challenge for applications using sentiment analysis and is yet to be fully explored by researchers. Existing sentiment analysis methods applied to monolingual social data are not suitable for code-mixed data due to the inconsistency in the grammatical structure in these sentences. In this paper, a novel method focused on performing effective sentiment analysis of bilingual sentences written in Hindi and English is proposed, that takes into account linguistic code switching and the grammatical transitions between the two considered languages. Experimental evaluation using real-world, code-mixed datasets obtained from Facebook showed that the proposed approach achieved very good accuracy and was also efficient performance-wise.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"23 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88664598","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}

引用次数: 27

A comparative study for flow control using SCIC and NPIC controllers 基于SCIC和NPIC控制器的流量控制比较研究

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204135

P. Mishra, Vineet Kumar, K. Rana

{"title":"A comparative study for flow control using SCIC and NPIC controllers","authors":"P. Mishra, Vineet Kumar, K. Rana","doi":"10.1109/ICCCNT.2017.8204135","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204135","url":null,"abstract":"Flow control is essentially a very important part of the process control industries. The flow control loops often employ pneumatic control valves as the final control element. These control valves suffer from various nonlinearities and stiction is most common of these. Due to stiction effect in the pneumatic control valves, the commonly used proportional-integral-derivative (PID) controller introduces limit cycles in the flow control loops, which essentially deteriorates the productivity of the industrial environment. To curb such non sinusoidal oscillations in these control loops, recently two novel controllers have been proposed namely, Stiction Combating Intelligent Controller (SCIC) and Nonlinear Proportional Integral Controller (NPIC). These two controllers have been earlier thoroughly evaluated for flow control studies and are claimed to be very efficient for curbing the limit cycle behavior in the control loops. However, a comparative study between them is missing for the same, which would fill the void existing at present. This paper addresses the same issue and a comparative study between the two controllers is performed and presented in this paper for the setpoint tracking, disturbance rejection and parametric uncertainty problems.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"39 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81089748","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}

引用次数: 1

An effective approach of feature selection for recommender systems using fuzzy C means clustering along with ant colony optimization and neural networks 将模糊C均值聚类与蚁群优化和神经网络相结合，提出了一种有效的推荐系统特征选择方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8203914

Hitesh Hasija

{"title":"An effective approach of feature selection for recommender systems using fuzzy C means clustering along with ant colony optimization and neural networks","authors":"Hitesh Hasija","doi":"10.1109/ICCCNT.2017.8203914","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8203914","url":null,"abstract":"Ratings provided by user for a movie or TV program also depends on demographic information, day type, time, mood, and other factors of environment. Thus, context aware recommender systems are used for providing recommendations. As recommender systems suffers from cold start, sparse data and scalability problems. Therefore, artificial neural networks (ANN) are used to solve these problems. But, training of ANN again takes a very large time, due to high dimensional features. Hence, feature subset selection is done to solve this problem. But, it is a kind of combinatorial optimization problem, which could be solved by using Ant Colony Optimization (ACO). ACO with heuristic function as fuzzy values obtained after applying fuzzy c means clustering algorithm over movie lens data set provided optimum results. Back propagation algorithm has been used, for the training of neural network, only on those features which are obtained after applying modified ACO along with roulette wheel selection algorithm. Results are analyzed by providing ratings of those movies which are not provided in “movie lens data set” yet, as a solution to cold start problem. Finally, the accuracy of recommender systems is calculated by determining mean absolute error and comparison is provided with other previous approaches for different data sets.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"59 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82690152","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}

引用次数: 5

Energy-efficient approach towards video-based sensor networks (wireless) beneath barrier coverage 屏障覆盖下基于视频的传感器网络(无线)的节能方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204143

J. P. Singh, Manas Kumar Mishra, Mohd. Aamir Khan

{"title":"Energy-efficient approach towards video-based sensor networks (wireless) beneath barrier coverage","authors":"J. P. Singh, Manas Kumar Mishra, Mohd. Aamir Khan","doi":"10.1109/ICCCNT.2017.8204143","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204143","url":null,"abstract":"The Modern pace in hardware technology such as the accessibility of small-scale array sensors, low cost CMOS cameras and microphones has prompted the evolution in the arena of communication (wireless) amidst the network of sensor is equipped with multimedia devices such as Micro Electro-Mechanical Systems (MEMS), To capture the limitations pertaining to sensor nodes (video-based) as well as sensor networks (wireless), a video stream (which supports it) is difficult to be effected keeping the contemporary sensor network protocols into consideration. The present paper exhibits a comprehensive architecture pertaining to video transmission in connection with Wireless Multimedia Sensor Network (WMSN) called Energy-efficient and Video transmission Architecture. The inclination towards usage of video-based Wireless Sensor Networks (WSN) applications has showed significant gains. Video WSN behaves quite differently from the traditional sensor networks in the sense that it involves a sensing model (directional in nature), an in-node processing which is complex and transfer of large amount of data, thus resulting in frequencies which are high clock and transmission time (radio) which is significant in nature. To ensure reliability of applications, energy consumption reduction is a prime requirement. In this paper, we have come up with a novel energy conservation technique which hinges on Barrier Coverage Preservation rather than Blanket Coverage.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"128 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88740518","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}

引用次数: 5

Visual enhancement of underwater image by white-balanced EMD 基于白平衡EMD的水下图像视觉增强

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI: 10.1109/ICCCNT.2017.8204163

S. Mallik, Salman Siddique Khan, U. C. Pati

{"title":"Visual enhancement of underwater image by white-balanced EMD","authors":"S. Mallik, Salman Siddique Khan, U. C. Pati","doi":"10.1109/ICCCNT.2017.8204163","DOIUrl":"https://doi.org/10.1109/ICCCNT.2017.8204163","url":null,"abstract":"In this paper, an algorithm has been proposed based on Empirical Mode Decomposition (EMD) with a white balanced input to enhance the visual quality of the under-water images. Generally, the underwater images are whisked by blurring effect, scattering effect etc. because of poor lighting condition. EMD is a signal decompose algorithm which is particularly useful for non-stationary and non-linear signals. First of all, the image is processed through the Gray World technique which is a white balance approach to enhance the contrast of the image and to remove the unwanted color cast in the image. Then, each R, G and B channel of the resultant image is decomposed into its Intrinsic Mode Functions(IMFs). Final enhanced image has been constructed by combining the IMFs of each channel with different optimised weights. The EMD algorithm is implemented on the resultant image of White balanced process to restore the color. Our experimental results enhance the contrast of the image by reducing noise as well as artifacts in the image. To show the quantitative enhanced result, Gray Level Cooccurrence Matrix(GLCM), Peak Signal to Noise Ratio(PSNR) and Mean Square Error(MSE) are calculated and compared with different conventional enhancement methods. The proposed method results in superior enhanced image with increased visual quality compared to conventional methods.","PeriodicalId":6581,"journal":{"name":"2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90399656","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}

引用次数: 8