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MOOCs - One Size Does Not Fit All mooc——一种模式不适合所有人
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791519
Archana Shrivastava, A. Shrivastava, V. Bhatt, B. Sinha
{"title":"MOOCs - One Size Does Not Fit All","authors":"Archana Shrivastava, A. Shrivastava, V. Bhatt, B. Sinha","doi":"10.1109/irtm54583.2022.9791519","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791519","url":null,"abstract":"MOOCs courses offer many significant advantages over brick-and-mortar classrooms. A geographically and demographically diverse growing global community of learners taking to MOOCs signals that ‘one size fits all’ will not hold water in the MOOCs realm. Plurality of learners makes it imperative to understand the customer segments and their specific needs. Understanding customer segmentation can enable companies in the MOOCs sector to design MOOCs to cater to the needs of diverse customer segments. This will help companies to achieve their objective of achieving high order of scalability in this sector. This study endeavors to identify the customer segments for MOOCs using the technique of cluster analysis. One major criticism of MOOCs is the high attrition rate of learners. Given the plethora of MOOCs available and their emerging popularity, the time is ripe to understand customer profiles and their preferences to make the M (massive) in the acronym achievable.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115407579","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
E-commerce and woman entrepreneurs: A data mining of e-commerce statistics in Indonesia 电子商务与女性企业家:印度尼西亚电子商务统计数据的数据挖掘
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791523
Gunawan
{"title":"E-commerce and woman entrepreneurs: A data mining of e-commerce statistics in Indonesia","authors":"Gunawan","doi":"10.1109/irtm54583.2022.9791523","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791523","url":null,"abstract":"The rapid ICT development in developing countries has offered people an opportunity to participate in e-commerce. This study departed from an exploratory question in the data mining context: “What information can be revealed regarding women entrepreneurs in e-commerce?” This study adopted a data mining approach, implemented through the Cross-Industry Standard Process for Data Mining framework, using Knime Analytics Platform as a data analysis tool. The context of data analysis is in Indonesia, and the unit of analysis is a province in which the e-commerce related data were aggregated per province. The result revealed that women e-commerce entrepreneurs were likely to have higher educational backgrounds and were younger than men entrepreneurs. In provinces where the percentage of e-commerce firms is low, women entrepreneurs contributed more than men. The finding provided evidence of the role of women e-commerce entrepreneurs in the country context. The policymakers and agents promoting woman empowerment might focus on facilitating women to enter e-commerce, especially in provinces with lowe-commerce adoption.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124740925","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
Multimodal sentiment analysis of human speech using deep learning 使用深度学习的人类语音多模态情感分析
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791745
Saumya Roy, S. Ghoshal, Rituparna Basak, Pratyay Basu, N. Roy
{"title":"Multimodal sentiment analysis of human speech using deep learning","authors":"Saumya Roy, S. Ghoshal, Rituparna Basak, Pratyay Basu, N. Roy","doi":"10.1109/irtm54583.2022.9791745","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791745","url":null,"abstract":"Communication is the exchange of thoughts, ideas and feelings through emotion. In this paper we have proposed a method where human speech is converted into digital input. The digitized sound is fed into the proposed models and the voice of every person is classified into discrete emotional characteristics by its intensity, pitch, timbre, speech rate and pauses. In the proposed method, authors have applied multi scale area attention in a deep 2D-CNN connected to dense DNN to obtain emotional characteristics with wide range of granularities and therefore the classifier can predict a wide range of emotions on a broad scale classification.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124882503","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
Impact of Artificial Intelligence on Credit Scores in Lending Process 人工智能对贷款过程中信用评分的影响
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791511
R. Dhaigude, N. Lawande
{"title":"Impact of Artificial Intelligence on Credit Scores in Lending Process","authors":"R. Dhaigude, N. Lawande","doi":"10.1109/irtm54583.2022.9791511","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791511","url":null,"abstract":"The credit scoring remains always concerned about developing an empirical model to support the financial decision-making process for financial institutions in the most efficient manner. Currently, the use of technology for credit score is not universally adopted by financial institutions because there is lack of evidence to ensure the effectiveness of this alternate method. Thus, the aim of this research is to recognize the impact or effect on the financial institutions which they have experienced post integrating AI in their institution for generating credit scores for the lending process. The data was collected from 68 Credit Officers/Credit Managers working in Financial Services Provider companies. The semi structured questionnaire was used to understand the use of AI and the perception of Credit Managers towards using AI in the lending process. The primary and secondary data were analysed to evaluate the impact of using AI in calculating Credit score. The research suggested that the financial institutions consider time saving with lesser workforce, Increase in Revenues and Business, Default rate reduction and Skill upgrade along with not breaching privacy of their customers. The FinTech companies can understand the factors in a better manner to develop their products for the financial services providers. And the financial institutions can make a better use of AI to reach out to more prospective customers and provide better.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129377237","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
Wearable UWB Antenna With Notch Characteristic For Body Area Networks 体域网络带陷波特性的可穿戴超宽带天线
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791705
Srijita Chakraborty, N. Pathak, Mrinmoy Chakraborty
{"title":"Wearable UWB Antenna With Notch Characteristic For Body Area Networks","authors":"Srijita Chakraborty, N. Pathak, Mrinmoy Chakraborty","doi":"10.1109/irtm54583.2022.9791705","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791705","url":null,"abstract":"A wearable UWB antenna with WLAN (5.5GHz) notch band characteristic has been proposed for Body Area Networks (BANs). The antenna which has a dimension of 51mm×48mm, is composed of rectangular radiating patch fed with microstrip feed line and rectangular ground plane. The ultra wide band from 1.6 GHz to 11.6 GHz frequency range has been obtained and by implementing a circular split ring resonator in the ground surface frequency band notched characteristics has been achieved at WLAN application band. The antenna shows broad bandwidth, good impedance match and omnidirectional radiation patterns in the entire frequency range.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128707827","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
Facile Synthesis, and Low Force Mechanical Energy Harvesting of Zinc Titanate (ZnTiO3) Nanoparticles 纳米钛酸锌(ZnTiO3)的简单合成及低力机械能收集
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791735
Shubhankar Barman, Swadesh Paul, A. Datta
{"title":"Facile Synthesis, and Low Force Mechanical Energy Harvesting of Zinc Titanate (ZnTiO3) Nanoparticles","authors":"Shubhankar Barman, Swadesh Paul, A. Datta","doi":"10.1109/irtm54583.2022.9791735","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791735","url":null,"abstract":"Lead-free piezoelectric nanogenerators (PENG) oxides are emergent materials for environment friendly energy technology and smart electronic applications. Here we first time report facile one-step solvothermal synthesis of metastable LN-type hexagonal R3c piezoelectric ZnTiO3 nanoparticles and show their mechanical energy harvesting properties. Phase, purity and morphology of ZnTiO3 powder were studied by P-XRD, EDAX and TEM. Flexible nanogenerators were fabricated by preparing a composite of piezoelectric ZnTiO3 nanoparticles and Poly(dimethyaISiloxane) (PDMS) as the matrix in different wt.%, which are then tested for mechanical energy harvesting. Maximum output peak-to-peak open circuit voltage, Voc ~ 0.2V and peak-to-peak short-circuit current Isc ~ 1.0 nA are measured from the nanogenerator with 20 wt.% ZnTiO3 NPs.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814564","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
Secured and Quantum Resistant Key Exchange Cryptography Methods – A Comparison 安全与抗量子密钥交换密码方法的比较
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791580
Smita Bansod, L. Ragha
{"title":"Secured and Quantum Resistant Key Exchange Cryptography Methods – A Comparison","authors":"Smita Bansod, L. Ragha","doi":"10.1109/irtm54583.2022.9791580","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791580","url":null,"abstract":"The field of Cybersecurity methods and algorithms looks like a huge ocean. The selection of suitable methods is a challenging job based on the application. In the light of emerging new technologies, the selected cryptographic algorithm should be compatible with the new technology. This study helps in the selection of the appropriate key exchange cryptography method for a given application which requires secured communication. The strong, efficient, fast and quantum safe method chosen should further be analyzed, tested and verified for providing the desired throughput under heavy load conditions. The vulnerability of major cryptography algorithms to security attacks by Quantum algorithms is discussed in this study. The security level status of a few popular cryptography methods are compared with the post quantum resistant method of cryptography.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127452067","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 Novel Strategic Way to Enhance the Connectivity of Users Beyond Coverage Area Using Cognitive Radio Relaying 一种利用认知无线电中继增强覆盖区域外用户连通性的新策略
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791684
Sourav Chakraborty, Sailik Sengupta, Harshit Anand
{"title":"A Novel Strategic Way to Enhance the Connectivity of Users Beyond Coverage Area Using Cognitive Radio Relaying","authors":"Sourav Chakraborty, Sailik Sengupta, Harshit Anand","doi":"10.1109/irtm54583.2022.9791684","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791684","url":null,"abstract":"The main objective of our research is to establish a connection of a user outside the coverage area of its network service provider with the best efficiency and least network latency, thereby accessing the available virtual network of the nearest/closest user or the best available spectrum of the radio frequency to connect with the base station, which is basically indirect connectivity to the Base Station. Cognitive radio algorithms would help to access the free spectrum of different nearby users and devices within the coverage area in the neighborhood and thus connect to their respective base stations in order to transmit information. Our project is to measure the success probabilit of transmitting information and comparing different situations in the simulation.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"22 6S 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122811832","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
An induction motor loss Optimization approach using JMAG and MATLAB for an electric vehicle 基于JMAG和MATLAB的电动汽车感应电机损耗优化方法
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791752
Saransh Chourey, Sanket Bose, Sivasankari Sundaram
{"title":"An induction motor loss Optimization approach using JMAG and MATLAB for an electric vehicle","authors":"Saransh Chourey, Sanket Bose, Sivasankari Sundaram","doi":"10.1109/irtm54583.2022.9791752","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791752","url":null,"abstract":"An electric motor can be considered as the heart of an electric vehicle, especially for a pure electric vehicle, where it provides sufficient torque for it to move. So, it is very important that all the aspects related to the electric motor should be carefully designed and modelled. In the case of a pure electric vehicle, the motor losses are the major contributor among all other losses. So, it becomes inevitable to minimize those losses and extract maximum possible efficiency, in order to prominently reduce the energy consumption of the vehicle. In this paper, an overall optimized loss equation of an Induction motor is proposed. Modified Particle Swarm Optimization is applied to get the desired value of stator flux reference, electromagnetic torque, and operating speed such that the motor losses are minimum. These values can be employed as reference control signals to implement control strategies of a power train in an electric vehicle. The optimization is realistically validated by obtaining the required motor parameters that are commercially available from JMAG, in order to have good accuracy and reliability.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125925180","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
Vegetable and Fruit Leaf Diseases Detection using ResNet 利用ResNet进行蔬菜和水果叶片病害检测
2022 Interdisciplinary Research in Technology and Management (IRTM) Pub Date : 2022-02-24 DOI: 10.1109/irtm54583.2022.9791744
Hanisha Mohinani, Vinita Chugh, Shivanghee Kaw, Om Yerawar, Indu Dokare
{"title":"Vegetable and Fruit Leaf Diseases Detection using ResNet","authors":"Hanisha Mohinani, Vinita Chugh, Shivanghee Kaw, Om Yerawar, Indu Dokare","doi":"10.1109/irtm54583.2022.9791744","DOIUrl":"https://doi.org/10.1109/irtm54583.2022.9791744","url":null,"abstract":"Agriculture is one of the main factors that decides the growth of any country. India is an agricultural country which has the majority of the population dependent on agriculture as their main income source. Having diseases is quite natural in plants due to changing climatic conditions and environmental conditions. Diseases obstruct the growth of plants and affect their production. Due to this, it is very important to detect the diseases as it may infect other plants. In this paper, we aim to propose a solution to detect the diseases from various vegetables and fruits from the PlantVillage dataset using the ResNet algorithm. Out of the total 38 classes, plant leaves are classified into 26 diseased classes or 14 healthy classes. As a result, test accuracy obtained is 99.2%.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116874684","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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