Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.最新文献

Learned Image Compression with Discretized Gaussian Mixture Likelihoods and Attention Modules 基于离散高斯混合似然和注意模的学习图像压缩

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2021-02-23 DOI: 10.36548/JEEA.2020.4.004

G. Ranganathan, Bindhu

引用次数: 19

Analysis of Complex Non-Linear Environment Exploration in Speech Recognition by Hybrid Learning Technique 混合学习技术在语音识别中的复杂非线性环境探索分析

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2021-02-19 DOI: 10.36548//JIIP.2020.4.005

Dr. S. Manoharan

{"title":"Analysis of Complex Non-Linear Environment Exploration in Speech Recognition by Hybrid Learning Technique","authors":"Dr. S. Manoharan","doi":"10.36548//JIIP.2020.4.005","DOIUrl":"https://doi.org/10.36548//JIIP.2020.4.005","url":null,"abstract":"Recently, the application of voice-controlled interfaces plays a major role in many real-time environments such as a car, smart home and mobile phones. In signal processing, the accuracy of speech recognition remains a thought-provoking challenge. The filter designs assist speech recognition systems in terms of improving accuracy by parameter tuning. This task is some degree of form filter’s narrowed specifications which lead to complex nonlinear problems in speech recognition. This research aims to provide analysis on complex nonlinear environment and exploration with recent techniques in the combination of statistical-based design and Support Vector Machine (SVM) based learning techniques. Dynamic Bayes network is a dominant technique related to speech processing characterizing stack co-occurrences. This method is derived from mathematical and statistical formalism. It is also used to predict the word sequences along with the posterior probability method with the help of phonetic word unit recognition. This research involves the complexities of signal processing that it is possible to combine sentences with various types of noises at different signal-to-noise ratios (SNR) along with the measure of comparison between the two techniques.","PeriodicalId":20643,"journal":{"name":"Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77399020","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: 22

Machine Learning Approach to Predictive Maintenance in Manufacturing Industry - A Comparative Study 机器学习方法在制造业预测性维护中的比较研究

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2021-01-27 DOI: 10.36548/JSCP.2020.4.006

P. Karrupusamy

{"title":"Machine Learning Approach to Predictive Maintenance in Manufacturing Industry - A Comparative Study","authors":"P. Karrupusamy","doi":"10.36548/JSCP.2020.4.006","DOIUrl":"https://doi.org/10.36548/JSCP.2020.4.006","url":null,"abstract":"Predictive maintenance is the way to improve asset management in every manufacturing industry. While handling advance costlier machinery in the industry, the predictive maintenance knowledge will be essential to protect the machinery before gets degradation performance. Recently, the emergence of business in manufacturing industry deals with good systems, regular intervals maintenance process, predictive maintenance (PdM), machine learning (ML) approaches are extensively applied for handling the health standing of business instrumentation. Now the digital transformation towards I4.0, data techniques, processed management and communication networks; it’s doable to gather huge amounts of operational and processes conditions information generated type many items of kit and harvest information for creating an automatic fault detection and diagnosing with the aim to attenuate period of time and increase utilization rate of the parts and increase their remaining helpful lives. The predictive maintenance is inevitable for property good producing in I40. This paper aims to provide a comprehensive review of the recent advancements of metric capacity unit techniques wide applied to PdM for good producing in I4.0 by classifying the analysis consistent with metric capacity unit algorithms, ML class, machinery and instrumentation used device employed in information acquisition, classification of knowledge size and kind, and highlight the key contributions of the researchers and so offers pointers and foundation for additional analysis. In this research paper we constructed a Random Forest model to predict the failure of the various machine in manufacturing industry. It compares the prediction result with Decision Tree (DT) algorithm and proves its superiority in accuracy and precision.","PeriodicalId":20643,"journal":{"name":"Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89000868","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

Data Elimination on Repetition using a Blockchain based Cyber Threat Intelligence 使用基于区块链的网络威胁情报的重复数据消除

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2021-01-05 DOI: 10.36548/jsws.2020.4.002

S. Smys, W. Haoxiang

引用次数: 13

Optimization of Citizen Broadband Radio Service Frequency Allocation for Dynamic Spectrum Access System 动态频谱接入系统中公民宽带无线电业务频率分配的优化

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2021-01-05 DOI: 10.36548/jsws.2020.4.001

J. Chen, Lu-Tsou Yeh

{"title":"Optimization of Citizen Broadband Radio Service Frequency Allocation for Dynamic Spectrum Access System","authors":"J. Chen, Lu-Tsou Yeh","doi":"10.36548/jsws.2020.4.001","DOIUrl":"https://doi.org/10.36548/jsws.2020.4.001","url":null,"abstract":"With the increase in mobile broadband utilization, more spectrum release is recommended by the Federal Communications Commission for spectrum sharing under a three-tire system called Citizens Broadband Radio Service. The standardization, functional and operational necessities of this framework are defined by the Wireless Innovation Forum. If an unavoidable shipborne radar appears on the channel, the channel must be vacated by the lower tier users. The timing constraints on CBRS is also stringent. Wireless stations transmit short beacon frames termed as heartbeat signals. These signals consist of the wireless channel encryption data, Service Set Identifier (SSID) and other credential data. These signals also transmit commands to vacate a channel. The heartbeat interval, timing constraint and domain proxy features are analyzed in this paper. CBSD renunciation and spectrum acquisition is performed with the help of domain proxy based communication. The CBRS-SAS channel allocation algorithm is further investigated. The communication interoperability and network robustness can improved with the introduction of secondary SAS and secondary domain proxy respectively.","PeriodicalId":20643,"journal":{"name":"Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79791306","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

Non-Technological Food Service Innovation Models: Towards Building Value Creation in Restaurants within Hotels in Nairobi County, Kenya 非技术食品服务创新模式:在肯尼亚内罗毕县的酒店餐厅中创造价值

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2020-12-31 DOI: 10.46222/ajhtl.19770720-56

S. W. Kamau, B. Kalui

{"title":"Non-Technological Food Service Innovation Models: Towards Building Value Creation in Restaurants within Hotels in Nairobi County, Kenya","authors":"S. W. Kamau, B. Kalui","doi":"10.46222/ajhtl.19770720-56","DOIUrl":"https://doi.org/10.46222/ajhtl.19770720-56","url":null,"abstract":"The food service industry has to continuously innovate; however, concerns have been raised regarding the issue of distinctive and customized innovation models. The study aimed at the general objective to investigate how non-technological food service innovation models create value in restaurants. The specific objective was to establish and explore the relationship between non-technological food service innovation models and value creation. The study used a cross-sectional descriptive survey research design which involved those hotel restaurants in Nairobi County that were registered with the Tourism Regulatory Authority (TRA) as at 2016. Multistage stratified sampling—as well as purposeful and random sampling techniques—were used with a sample size of 385 respondents. Data collection instruments included questionnaires, interview guide, and observation-checklist, achieving a response rate of 82.9%. The coded data was analysed using descriptive and inferential statistical data analytical methods. Hypotheses were tested using multinomial regression, t-test and chi-square. Food service innovation model had no significant relationship with value creation in restaurants (p-value of 0.554). The study concludes that there is a need for a systematic procedure/model for developing non-technological food service innovations. To these end the study proposes a new food service innovation model with new variable such as consultation of professionals. This will enable an innovative organizational culture and lead to significant cost savings in the food service industry, among other benefits.","PeriodicalId":20643,"journal":{"name":"Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91540832","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

The Impact of Demographic Influences on Work Engagement for Front of House Female Hotel Employees 人口统计学因素对酒店女前台员工工作投入的影响

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2020-12-31 DOI: 10.46222/ajhtl.19770720-55

Palesa Mpkhine, Ita Geyser

{"title":"The Impact of Demographic Influences on Work Engagement for Front of House Female Hotel Employees","authors":"Palesa Mpkhine, Ita Geyser","doi":"10.46222/ajhtl.19770720-55","DOIUrl":"https://doi.org/10.46222/ajhtl.19770720-55","url":null,"abstract":"The demographic influences affecting the wellbeing of front of house (FoH) female employees who are employed in hotels. The work engagement subscales, vigour, dedication and absorption were measured against the participants’ age, level of education and marital status. A cross-sectional survey was done from a sample (n = 100) of female participants. A biographical questionnaire and The Utrecht Work Engagement Scale (UWES) were administered. Significant relationships were found on the vigour, dedication and absorption subscales. FoH female employees younger than 35, those with tertiary education and those without life partners displayed higher levels of wellbeing. Therefore work engagement levels vary with regards to age, marital and educational status. Human resource specialists for hotels could measure work engagement and apply it through in-house policies and supportive practices as well as defend these practices regarding their FOH female employees as female employees are the majority of employees within the hospitality industry. The workforce in South Africa is characterized by demographic diversity. The variances of work engagement are imperative as it enhances the guest experience and improves productivity and ultimately increases financial turnover for the hotels who operate in a very competitive market.","PeriodicalId":20643,"journal":{"name":"Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88590720","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

Enhancing Community Participation in Ecotourism through a Local Community Participation Improvement Model 以社区参与改善模式促进社区参与生态旅游

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2020-12-31 DOI: 10.46222/AJHTL.19770720-81

T. Gumede, A. Nzama

引用次数: 4

The Design of a Bayesian Network Model for Increasing the Number of Graded Tourism Establishments 分级旅游场所数量增加的贝叶斯网络模型设计

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2020-12-31 DOI: 10.46222/ajhtl.19770720-52

Tshepo Mothoagae, N. Joseph

{"title":"The Design of a Bayesian Network Model for Increasing the Number of Graded Tourism Establishments","authors":"Tshepo Mothoagae, N. Joseph","doi":"10.46222/ajhtl.19770720-52","DOIUrl":"https://doi.org/10.46222/ajhtl.19770720-52","url":null,"abstract":"Research has been conducted on the grading of tourism establishments but little research has been conducted on the implementation of Artificial Intelligence (AI) to increase the number of graded tourism establishments. The objective of this study was to identify variables influencing tourism grading and to use them to construct a Bayesian Model for increasing the number of tourism establishments. Data was collected using an online survey questionnaire developed using the Survey Monkey tool. A total of 87 responses were received from 60 non-graded and 27 graded tourism establishments. The results indicate six factors affecting tourism grading, namely cost of grading, grading benefits, simplicity/complexity of grading application process, government funding, training of prospective grading applicants and computer literacy. The results further indicate grading cost and grading benefits as the most important factors for increasing the number of tourism establishments. The study implies that using this model will assist grading professionals to make informed decisions on initiatives aimed at increasing the number of graded tourism establishments. The study is among the first on implementation of AI to increase tourism grading establishments.","PeriodicalId":20643,"journal":{"name":"Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020.","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78482135","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

Augmented Reality in Education 增强现实在教育中的应用

Proposed for presentation at the 2020 Virtual MRS Fall Meeting & Exhibit held November 27 - December 4, 2020. Pub Date : 2020-12-31 DOI: 10.36548/jitdw.2020.4.006

Pallikonda Subhashini, Raqshanda Siddiqua, A. Keerthana, Pamu Pavani

引用次数: 2