International Journal of Smart Business and Technology最新文献_第7页

A Survey on High Utility Rare Itemset Mining 高效用稀有物项集开采综述

International Journal of Smart Business and Technology Pub Date : 2015-05-30 DOI: 10.21742/IJSBT.2015.3.2.03

Zhang Wenbo, Kanika Middha, Jeetesh Kumar Jain

引用次数: 1

XLIFF: Multilingual Translation Memory Management among Divergent Language Families XLIFF:不同语系间的多语种翻译记忆管理

International Journal of Smart Business and Technology Pub Date : 2015-05-30 DOI: 10.21742/IJSBT.2015.3.2.01

Priyanka Pawar, Pratik Ardhapurkar, Priyanka Jain, Anuradha Lele, Ajai Kumar, H. Darbari

{"title":"XLIFF: Multilingual Translation Memory Management among Divergent Language Families","authors":"Priyanka Pawar, Pratik Ardhapurkar, Priyanka Jain, Anuradha Lele, Ajai Kumar, H. Darbari","doi":"10.21742/IJSBT.2015.3.2.01","DOIUrl":"https://doi.org/10.21742/IJSBT.2015.3.2.01","url":null,"abstract":"For the purpose of localization, only textual output is not sufficing the need of Machine Translation unless until it is in a usable format. In Indian scenario, localization as an industry has not been recognized yet which had led to lack of Language Standards leading to varied translation quality. Localization is the process of adapting a product or service to a particular language, culture, and desired local \"look-and-feel\" Machine Translation is one of the most important activities under localization but it is not complete unless until it is adapted by end user in a desired manner. In this paper, we are introducing format retention utility using \"XLIFF\" as an important tool to English to Indian Language Machine Translation. Machine translation (MT) is the technique of translating source text of input language into the target language text. This process uses bilingual data set along with other language assets to frame language and phrase models which are used while translating text in machine translation. Here, Machine Translation System (MTS) that uses the Tree Adjoining Grammar (TAG) is considered. Here, uniqueness and complexity of task has been discussed. In this paper, we are proposing a design and architecture to support the system along with experiments, results and future aspects. It is closely related to the long-term vision of enabling code to support local, regional, language, or culturally related preferences.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124613779","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

A Review on Fog Removal with Its Techniques and Types 除雾技术及类型综述

International Journal of Smart Business and Technology Pub Date : 2015-05-30 DOI: 10.21742/IJSBT.2015.3.2.02

Tai-hoon Kim, Suman B. Tyagi, Nirupma Tiwari, S. Ram

引用次数: 0

Performance Measures for Image Fusion based on Top-hat Transform and Wavelet Transform 基于顶帽变换和小波变换的图像融合性能评价

International Journal of Smart Business and Technology Pub Date : 2014-05-30 DOI: 10.21742/IJSBT.2014.2.2.01

Chen Songchao, Dr.B. Sujatha, G. Karuna

{"title":"Performance Measures for Image Fusion based on Top-hat Transform and Wavelet Transform","authors":"Chen Songchao, Dr.B. Sujatha, G. Karuna","doi":"10.21742/IJSBT.2014.2.2.01","DOIUrl":"https://doi.org/10.21742/IJSBT.2014.2.2.01","url":null,"abstract":"Image fusion is a process in which a high-resolution Panchromatic Image (PAN) is combined with a low-resolution Multispectral Image (MS) to form a new single image that contains both the spatial information of the PAN image and the spectral information of the MS image. In the present work, an algorithm for image fusion based on the Wavelet Transform (WT) is implemented, analyzed, and compared with the top-hat transform algorithm. The decimated and undecimated wavelets used in image fusion can be categorized into three classes: Orthogonal, Biorthogonal, and Nonorthogonal. Fusion results are evaluated and compared using various measures of performance and the results show that the undecimated biorthogonal wavelet-based fusion method performs the fusion of PAN image and MS image better than top-hat transform fusion method, decimated orthogonally, decimated biorthogonal, and undecimated orthogonal wavelet-based fusion methods, especially in preserving both spectral and spatial information. The experiment is conducted on the IRS-1D images using LISS III scanner for the locations Vishakhapatnam and Hyderabad, India, and on Quick Bird image data and Losangels image data. The results show that the proposed WT fusion method works well in multi-resolution fusion and also preserves the original color or spectral characteristics of the input image data. In addition, the fused image has a better eye perception than the input ones.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121416470","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

Consumer Perception and Satisfaction towards Online Shopping 消费者对网上购物的认知与满意度

International Journal of Smart Business and Technology Pub Date : 2014-05-30 DOI: 10.21742/ijsbt.2014.2.1.07

Wu Baofu, Ch. Sai Ramnadh, Hye-jin Kim

{"title":"Consumer Perception and Satisfaction towards Online Shopping","authors":"Wu Baofu, Ch. Sai Ramnadh, Hye-jin Kim","doi":"10.21742/ijsbt.2014.2.1.07","DOIUrl":"https://doi.org/10.21742/ijsbt.2014.2.1.07","url":null,"abstract":"The growing use of the web in India provides a developing prospect for online shopping. If E-marketers understand the factors affecting online Indian behavior, and also the relationships between these factors and also the type of online buyers, then they'll additionally develop their selling methods to convert potential customers into active ones, whereas retaining existing online customers. This project could be a part of the study and focuses on factors that on-line Indian buyers keep in mind while shopping online. This analysis found that info, perceived utility, easy use; perceived enjoyment and security/privacy are the 5 dominant factors that influence shopper perceptions of on-line getting. Shopper behavior is alleged to be associate applied discipline as some choices are considerably full of their behavior or expected actions. The two views that seek application of its knowledge are small and societal perspectives. The web is changing the way shoppers look and buy product and services and has rapidly evolved into a global development. Many firms have started using the web with the aim of cutting marketing costs, thereby reducing the value of their product and services so as to remain ahead in extremely competitive markets. Firms additionally use the net to convey, communicate and distribute info, to sell the product, to take feedback and also to conduct satisfaction surveys with customers.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"1108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116056222","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

Computational Modeling for Thermal Analysis of AV1 Diesel Engine Valve using FEM AV1柴油机气门热分析的有限元计算模型

International Journal of Smart Business and Technology Pub Date : 2014-05-30 DOI: 10.21742/IJSBT.2014.2.2.02

Chen Zeying, S. Sharma, Amit K.Gupta, P. Saini, N. K. Samria

{"title":"Computational Modeling for Thermal Analysis of AV1 Diesel Engine Valve using FEM","authors":"Chen Zeying, S. Sharma, Amit K.Gupta, P. Saini, N. K. Samria","doi":"10.21742/IJSBT.2014.2.2.02","DOIUrl":"https://doi.org/10.21742/IJSBT.2014.2.2.02","url":null,"abstract":"Under steady-state, a thermal investigation has been taken to study operating temperatures and heat flow rate in the valves of an AV1 diesel engine. Temperatures, temperature fields, and heat flow rate were measured under all four thermal loading conditions (full, third-fourth, half, and no load) using FORCE-2 FE (finite element) software. Appropriate averaged thermal boundary conditions were set on different surfaces for the FE model. Results obtained in the engine valves revealed that in addition to heat transfer by convection and radiation from combustion gases, the temperature and heat flux distributions are considerably affected by heat conduction from the valve seat. Contours of temperature fields introduced were shown as well. Results show that the main cause of valve safety is valve deformation and great thermal stress. So it is feasible to further decrease the valve temperature with structure optimization. Measuring the temperature in different parts of the diesel engine, we can adjust the cooling, or we can improve the materials, or even we can improve the properties of the fuels. The FEA result provides effective theoretical evidence for further improving the valves’ performance. The evaluation confirmed the significant variation previously observed between the various methods.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115181702","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

Dividend Policy and its Impact on Firms Financial Position 股利政策及其对企业财务状况的影响

International Journal of Smart Business and Technology Pub Date : 2014-05-30 DOI: 10.21742/ijsbt.2014.2.2.03

K. Kumar, K. Venkateswarlu, Hye-jin Kim, Chen Haoyue

引用次数: 0

Research on Trust Model of E-commerce in P2P Environment P2P环境下电子商务信任模型研究

International Journal of Smart Business and Technology Pub Date : 2013-11-30 DOI: 10.21742/ijsbt.2013.1.1.05

Jianbang Du

引用次数: 0

User Preference Collaborative Filtering Recommendation Algorithm based on Data Mining 基于数据挖掘的用户偏好协同过滤推荐算法

International Journal of Smart Business and Technology Pub Date : 2013-11-30 DOI: 10.21742/ijsbt.2013.1.1.04

Andrew M. Barthelemy, George Suter

{"title":"User Preference Collaborative Filtering Recommendation Algorithm based on Data Mining","authors":"Andrew M. Barthelemy, George Suter","doi":"10.21742/ijsbt.2013.1.1.04","DOIUrl":"https://doi.org/10.21742/ijsbt.2013.1.1.04","url":null,"abstract":"With the rapid development of information technology, the Internet has developed into the most important e-commerce platform. This article integrates user preference mining technology into collaborative filtering recommendations and proposes an e-commerce collaborative filtering recommendation algorithm based on user preference mining. This algorithm Aiming at the traditional collaborative filtering recommendation algorithm that only uses the user's explicit preference information when calculating user similarity, and ignores the user's implicit preference knowledge, it is proposed to use user preference mining technology to perform user explicit preference knowledge and implicit preference information. Mining preference knowledge, using the excavated user preference knowledge to calculate user similarity, and realizing the nearest neighbor community formation mechanism based on user preference knowledge. On this basis, intelligent recommendation of user needs is realized. Experiments show that the algorithm has achieved expectations Effective, comprehensive use of user preference knowledge for collaborative filtering recommendation is the key to improving the accuracy and quality of recommendation results.","PeriodicalId":448069,"journal":{"name":"International Journal of Smart Business and Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121169601","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

Application of Reputation Trust Model in C2C E-commerce 信誉信任模型在C2C电子商务中的应用

International Journal of Smart Business and Technology Pub Date : 2013-11-30 DOI: 10.21742/ijsbt.2013.1.1.03

Alejandra Lazcano

引用次数: 0