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International Journal of Hybrid Information Technology最新文献

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An Identifying the Age of the Tiger Using Data Mining Techniques 利用数据挖掘技术识别老虎的年龄
International Journal of Hybrid Information Technology Pub Date : 2020-09-30 DOI: 10.21742/IJHIT.2020.13.2.02
M. Ramaraj
{"title":"An Identifying the Age of the Tiger Using Data Mining Techniques","authors":"M. Ramaraj","doi":"10.21742/IJHIT.2020.13.2.02","DOIUrl":"https://doi.org/10.21742/IJHIT.2020.13.2.02","url":null,"abstract":"Image mining is an astonishing to data mining concept. To understand the data mining concept prior knowledge is more important to image mining. Image mining deals with the extraction of implicit knowledge, image data relationships or other patterns not explicitly stored in the images. It is the process of analyzing large sets of domain-specific data and subsequently extracting information and knowledge in the form of new relationships, patterns, or clusters for the decision-making process. Tiger become a reserved animal. Conservation of tiger has been a challenging task. This work would add a small account to the herculean task of conserving the species. Several scientific researchers have carried out their research on the tiger reserve conservation. This research work proposes a method to find the age of the tiger, using color as a parameter. Color pixel-based image classification and clustering techniques has been used to identify the age of the tiger. This research work mainly focuses on RGB color spaces, which is implemented on the real time tiger images. The objective of the research work is to be done on assessing the age of the tiger using the color pixel-based image classification and clustering is the main task of the research work and to optimize the image filtering and enhancement methods that are used to remove the noise and to improve the quality of pixels or images and assessing the processing Time, Retrieval Time, Accuracy and Error Rate by generating the better results is real time tiger image database. 1","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126145148","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: 0
Linear Predictive Codes for Speech Recognition System at 121bps 121bps语音识别系统的线性预测码
International Journal of Hybrid Information Technology Pub Date : 2020-03-30 DOI: 10.21742/ijhit.2020.13.1.04
P. Patil
{"title":"Linear Predictive Codes for Speech Recognition System at 121bps","authors":"P. Patil","doi":"10.21742/ijhit.2020.13.1.04","DOIUrl":"https://doi.org/10.21742/ijhit.2020.13.1.04","url":null,"abstract":"This paper described the recognition of the phonetics related to numericals in Indian regional languages such as Marathi & Hindi by Nearest Neighbour rule. The segmentation is based on the location of the start and end points of the speech. The exact speech boundaries can be located and evaluated for linear predictive codes. The Linear Predictive Codes of the phonetics related to numerical in Indian regional languages such as Marathi & Hindi forms the codebook. The optimum distance between the test and the codebook linear predictive codes can be determined by the Dynamic Time Warping technique. Depending on the distance, the word is recognized by Nearest Neighbour rule. The accuracy of 88% is achieved with highly reduction in the memory requirements & good SNR.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122588589","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: 0
Comparison of Time Series ARIMA Model and Support Vector Regression 时间序列ARIMA模型与支持向量回归的比较
International Journal of Hybrid Information Technology Pub Date : 2020-03-30 DOI: 10.21742/ijhit.2020.13.1.02
Yekta S. Amirkhalili, A. Aghsami, F. Jolai
{"title":"Comparison of Time Series ARIMA Model and Support Vector Regression","authors":"Yekta S. Amirkhalili, A. Aghsami, F. Jolai","doi":"10.21742/ijhit.2020.13.1.02","DOIUrl":"https://doi.org/10.21742/ijhit.2020.13.1.02","url":null,"abstract":"As one of the most important and costly functions of any business, sales analytics has been the target of many studies for some time now. Knowing and tracking the sales of a business proves useful in all data-driven decisions made from inventory management to shelf layouts in a supermarket. However, forecasting sales relies heavily on data and algorithms strong enough to handle unseen data. Since sales data are in nature time series datasets one of such predictive methods is time series analytics. In this paper, the ARIMA modelling with respect to the seasonality of the data is compared with a machine learning technique, support vector regression. These comparisons are carried out on three different and unrelated datasets and these algorithms’ errors when predicting future sales is compared. The results obtained from our analysis shows poor results in general due to datasets having large numbers of oscillation and outliers, but for comparison purposes these datasets and results are fine. We conclude that support vector regression produces better results in comparison with time series analytics on all datasets used in this paper.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121092452","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: 3
Improved Text Classification using Long Short-Term Memory and Word Embedding Technique 基于长短期记忆和词嵌入技术的改进文本分类
International Journal of Hybrid Information Technology Pub Date : 2020-03-30 DOI: 10.21742/ijhit.2020.13.1.03
A. Adamuthe
{"title":"Improved Text Classification using Long Short-Term Memory and Word Embedding Technique","authors":"A. Adamuthe","doi":"10.21742/ijhit.2020.13.1.03","DOIUrl":"https://doi.org/10.21742/ijhit.2020.13.1.03","url":null,"abstract":"Text classification is an important problem for spam filtering, sentiment analysis, news filtering, document organizations, document retrieval and many more. The complexity of text classification increases with a number of classes and training samples. The main objective of this paper is to improve the accuracy of text classification with long short-term memory with word embedding. Experiments conducted on seven benchmark datasets namely IMDB, Amazon review full score, Amazon review polarity, Yelp review polarity, AG news topic classification, Yahoo! Answers topic classification, DBpedia ontology classification with different number of classes and training samples. Different experiments are conducted to evaluate the effect of each parameter on LSTM. Results show that 100 batch size, 50 epochs, Adagrad optimizer, 5 hidden nodes, 100-word vector length, 2 LSTM layers, 0.001 L2 regularization, 0.001 learning rate give the higher accuracy. The results of LSTM are compared with literature. For IMDB, Amazon review full score, Yahoo! Answers topic classification dataset the results obtained are better than literature. Results of LSTM for Amazon review polarity, Yelp review polarity, AG news topic classification are close to bestknown results. For DBpedia ontology classification dataset the accuracy is more than 91% but less than best known.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134486188","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: 3
Implementation of Autoencoder based Neural Network for Realtime Ray Tracing 基于自编码器的神经网络实时光线追踪的实现
International Journal of Hybrid Information Technology Pub Date : 2020-03-30 DOI: 10.21742/ijhit.2020.13.1.01
Hak-Sung Lee, Chelwon Jo, Kwang-yeob Lee
{"title":"Implementation of Autoencoder based Neural Network for Realtime Ray Tracing","authors":"Hak-Sung Lee, Chelwon Jo, Kwang-yeob Lee","doi":"10.21742/ijhit.2020.13.1.01","DOIUrl":"https://doi.org/10.21742/ijhit.2020.13.1.01","url":null,"abstract":"This paper proposes a denoising neural network for real-time ray tracing. The ray tracing method is applied in graphics to increase reality and in particular, Monte Carlo Rendering is most effective. However, ray tracing that applies Monte Carlo Rendering has a steep rise in the amount of calculations with the increase of the number of rays. Therefore, in order to solve this problem, various methods are being proposed to reduce the number of rays and to decrease the occurring noise. In this paper, an autoencoder-based neural network that can effectively remove noise while using a small number of rays was implemented. An autoencoder that uses a 1×1 convolution in creating the last feature map was proposed to significantly lower the amount of calculation. The proposed structure can handle 8196 spp ray-tracing image in 20 seconds at 64 spp.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128259927","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: 0
Design and Implementation of Sign Language Translation Program Using Motion Recognition 利用动作识别技术设计和实施手语翻译程序
International Journal of Hybrid Information Technology Pub Date : 2019-11-30 DOI: 10.21742/ijhit.2019.12.2.05
Jongwon Lee
{"title":"Design and Implementation of Sign Language Translation Program Using Motion Recognition","authors":"Jongwon Lee","doi":"10.21742/ijhit.2019.12.2.05","DOIUrl":"https://doi.org/10.21742/ijhit.2019.12.2.05","url":null,"abstract":"About 5% of world population, 466million people in figure (432million adults and 34 million children), have the hearing impairment. Most people with hearing impairment use sign language as a means to communicate not only with people without disability but also with people with disability. However, there are hundreds of different sign languages and most people without disability do not know how to use sign language at all. Thus, it is difficult for people without disability to communicate with people with hearing impairment in daily living. This study aims to help those with hearing impairment for easier communication. To do this, this study designed a sign language translation program and implemented some of the design to recognize the user's motion by using motion recognition sensors and translating the recognized motions after finding the right words for the motions followed by displaying the words on the screen.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648492","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: 2
Comparative Review of Floating-Point Multiplier Systems 浮点乘法器系统的比较回顾
International Journal of Hybrid Information Technology Pub Date : 2019-11-30 DOI: 10.21742/ijhit.2019.12.2.04
M. L. George, Tobago
{"title":"Comparative Review of Floating-Point Multiplier Systems","authors":"M. L. George, Tobago","doi":"10.21742/ijhit.2019.12.2.04","DOIUrl":"https://doi.org/10.21742/ijhit.2019.12.2.04","url":null,"abstract":"","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134323317","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: 3
An Efficient Algorithm for Informational Retrieval using Web Usage Mining 一种基于Web使用挖掘的高效信息检索算法
International Journal of Hybrid Information Technology Pub Date : 2019-11-30 DOI: 10.21742/ijhit.2019.12.2.03
Preeti Rathi
{"title":"An Efficient Algorithm for Informational Retrieval using Web Usage Mining","authors":"Preeti Rathi","doi":"10.21742/ijhit.2019.12.2.03","DOIUrl":"https://doi.org/10.21742/ijhit.2019.12.2.03","url":null,"abstract":"Retrieval of information from the database and web log files is a very time consuming process. There are many techniques and models to retrieve data from the web. There are two types of data available on the web i.e. structured and unstructured. If data is structured then retrieval of information is an easy task. Otherwise, firstly apply the algorithm to unstructured data and then models will be applied. Vector space and Boolean models are used for IR. In this paper, we compare both Boolean model & Vector Space model techniques to retrieve data from the web (log files) and proposed a new algorithm based on time, frequency, memory consumption, etc.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375781","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
Latest trends and Major Case Studies of Blockchain Technology 区块链技术的最新趋势和主要案例研究
International Journal of Hybrid Information Technology Pub Date : 2019-11-30 DOI: 10.21742/ijhit.2019.12.2.01
Jin-whan Kim
{"title":"Latest trends and Major Case Studies of Blockchain Technology","authors":"Jin-whan Kim","doi":"10.21742/ijhit.2019.12.2.01","DOIUrl":"https://doi.org/10.21742/ijhit.2019.12.2.01","url":null,"abstract":"As one key infrastructure technology to lead the Fourth Industrial Revolution, blockchain technology is expected to bring about exciting developments across a variety of fields, such as politics, economy, culture and education. This paper is intended as a general overview of the main features of blockchain technology. In addition, the latest trends and development methods of blockchain technology will be briefly reviewed. The terminology of blockchain infrastructure technology has the potential to foster technological innovation across various industrial sectors as well as improve mutual harmony and understanding of complex structures and diverse phenomena in human society, especially antagonism, confrontation, and ideological conflict. With such progress in social innovation, blockchain technology will render human society more transparent and fair.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788522","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: 3
Blockchain-based Power Trading Process 基于区块链的电力交易流程
International Journal of Hybrid Information Technology Pub Date : 2019-09-20 DOI: 10.21742/ijhit.2019.12.2.02
You-Jin Song
{"title":"Blockchain-based Power Trading Process","authors":"You-Jin Song","doi":"10.21742/ijhit.2019.12.2.02","DOIUrl":"https://doi.org/10.21742/ijhit.2019.12.2.02","url":null,"abstract":"78 Abstract. Recently, the paradigm of the power industry has been digitalization with the focus on renewable energy. With this shift toward an energy–information and communications technology (ICT) convergence accelerator, there will also be many changes that affect energy policies. In particular, in terms of energy demand management, there will be regional-centric self-reliant decentralization, and the activation of distributed energy resources (DERs), including renewable energy, will result in the deployment of microgrid-type virtual power plants on a region-wide basis. This paper designs a blockchain-based power transaction process in which individuals (producers) can produce and use power themselves or sell the remaining power to others, rather than transmitting and using the developed power from the existing centralized power grid.","PeriodicalId":170772,"journal":{"name":"International Journal of Hybrid Information Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121707816","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: 4
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