2017 IEEE 7th International Advance Computing Conference (IACC)最新文献_第10页

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0104

C. Udayakiran, S. H. Vali

引用次数: 0

Fault-Tolerant Scheduling for Scientific Workflows in Cloud Environments 云环境下科学工作流的容错调度

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0043

K. Vinay, S.M. Dilip Kumar

引用次数: 15

Studying PPCA and Its Other Homologs in C7 Family towards the Binding with Deoxycholate Based on Unique Encoding of Amino Acids

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0054

Prasanta Pramanik, J. Das, P. Choudhury

引用次数: 0

SSVEP Signal Detection for BCI Application BCI应用的SSVEP信号检测

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0126

P. Prasad, R. Swarnkar, K. Prasad, M. Radhakrishnan, Md. Farukh Hashmi, A. Keskar

引用次数: 6

Automatic Variable Length Key Generation from Images and CRT 自动可变长度密钥从图像和CRT生成

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0148

K. Srinivas, V. Janaki

引用次数: 1

Integrating the Reconfigurable Devices Using Slow-Changing Key Technique to Achieve High Performance 利用慢变密钥技术集成可重构器件实现高性能

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0115

A. Murali, K. Kishore, C. R. Krishna, S. Kumar, A. Rao

引用次数: 13

Information Technology in the Maritime Industry Past, Present and Future: Focus on LNG Carriers 信息技术在航运业的过去、现在和未来:关注液化天然气运输船

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0157

Olugbenga A. Bankole, V. Lalitha, Habib Ullah Khan, Anjaneyulu Jinugu

{"title":"Information Technology in the Maritime Industry Past, Present and Future: Focus on LNG Carriers","authors":"Olugbenga A. Bankole, V. Lalitha, Habib Ullah Khan, Anjaneyulu Jinugu","doi":"10.1109/IACC.2017.0157","DOIUrl":"https://doi.org/10.1109/IACC.2017.0157","url":null,"abstract":"The maritime industry represents one of the oldest industries known to man. From time immemorial human beings have been navigating the water ways as a transport medium for trade, leisure, basic transport and a myriad of other things including war between nations over territorial rights. The water ways also present dynamics in international relations as well with countries vying for the control of water locked mineral resources. The interest of nations in who controls the water ways and the resources therein also play a critical role in conflict and high politics amongst nations [1]. The impact of Information Technology on organisations that provide services to the mari-time sector is also brought under review with the aim of identifying the criticality of IT as a strategic business tool in positioning the organization for growth in the chosen market place, achieving reduction in the cost of doing business as well as criticality for survival as an organization is taken into consideration. Literature review and information gathering constitute the bulk of data for this research. Surveys were used to collate responses from industry practitioners. The responses were analysed and relevant details ascertained. The results of the survey and studies conducted clearly established the fact that Information Technology infrastructure is critical to the sustenance of the LNG shipping industry. Ensuring retention of seafarers who are key human resources to an shipping organization is seen to heavily depend on the provision of reliable IT infrastructure.","PeriodicalId":248433,"journal":{"name":"2017 IEEE 7th International Advance Computing Conference (IACC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132020527","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: 24

Modeling and Analysis of Model Reference Adaptive Control by Using MIT and Modified MIT Rule for Speed Control of DC Motor 基于MIT和修正MIT规则的模型参考自适应控制在直流电机速度控制中的建模与分析

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0105

M. Swathi, P. Ramesh

引用次数: 25

Music Genre Classification: A N-Gram Based Musicological Approach 音乐类型分类:基于N-Gram的音乐学方法

2017 IEEE 7th International Advance Computing Conference (IACC) Pub Date : 1900-01-01 DOI: 10.1109/IACC.2017.0141

E. Zheng, M. Moh, Teng-Sheng Moh

{"title":"Music Genre Classification: A N-Gram Based Musicological Approach","authors":"E. Zheng, M. Moh, Teng-Sheng Moh","doi":"10.1109/IACC.2017.0141","DOIUrl":"https://doi.org/10.1109/IACC.2017.0141","url":null,"abstract":"Digitalization of music has grown deep into people's daily life. Derived services of digital music, such as recommendation systems and similarity test, then become essential for online services and marketing essentials. As a building block of these systems, music genre classification is necessary to support all these services. Previously, researchers mostly focused on low-level features, few of them viewed this problem from a more interpretable way, i.e., a musicological approach. This creates the problem that intermediate stages of the classification process are hardly interpretable, not much of music professionals' domain knowledge was therefore useful in the process. This paper approaches genre classification in a musicological way. The proposed method takes into consideration the high-level features that have clear musical meanings, so that music professionals would find the classification results interpretable. To examine more musicological elements other than additional statistical information, we use a dataset of only symbolic piano works, including more than 200 records of classical, jazz, and ragtime music. Feature extraction and n-gram text classification algorithm are performed. The proposed method proves its concept with experimental results achieving the prediction accuracy averaged above 90%, and with a peak of 98%. We believe that this novel method opens a door to allow music professional to contribute their expert knowledge meaningfully in the music genre classification process, the proposed approach would contribute significantly for future music classification and recommendation systems.","PeriodicalId":248433,"journal":{"name":"2017 IEEE 7th International Advance Computing Conference (IACC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133003322","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: 19