2023 Somaiya International Conference on Technology and Information Management (SICTIM)最新文献_第2页

A Framework for Development of Retail Data Analytic App for a Supermarket Chain 某连锁超市零售数据分析应用开发框架

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10104810

Naimesh R Tungare, Davendranath G Jha

{"title":"A Framework for Development of Retail Data Analytic App for a Supermarket Chain","authors":"Naimesh R Tungare, Davendranath G Jha","doi":"10.1109/SICTIM56495.2023.10104810","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10104810","url":null,"abstract":"Most of the FMCG brands support retail chains by deputing brand promoters, who interact with customers, help in merchandising, place orders, check product expiry etc. The brand owners employ these promoters and expect them to give valuable feedback on customer preferences, competitor pricing, product requirement, fast moving and slow-moving products and product quality feedback. However, this information is many a times subjective and hence decisions by brands are not data driven. The paper describes the journey of development of Retail Mitra-a retail promoter mobile app. This app enables brand owner to get outlet wise data of individual products through daily entry of stock quantities, receipts, expiry and orders through the cloud-based application. This brings lot of discipline in the promoter’s performance, enabling the area mangers to remotely understand issues at various outlets and resolve the same with the retailer. The development platforms were R Programming and data collation and storage were by MySQL. The creation and access to dashboards, enabled the brand owners to compare outlet wise performance and helped improve sales by over 30% and reduce losses by 24% in 2 months.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661566","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

Machine Learning Techniques for Heart Disease Prediction 心脏病预测的机器学习技术

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10104919

Kirti Wankhede, Bharati Wukkadada, S. Rajesh, Sneha Nair

{"title":"Machine Learning Techniques for Heart Disease Prediction","authors":"Kirti Wankhede, Bharati Wukkadada, S. Rajesh, Sneha Nair","doi":"10.1109/SICTIM56495.2023.10104919","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10104919","url":null,"abstract":"To build a clear analysis of cardiac ailment, a complex mixture of scientific and pathological proof is regularly used. Because of this Doctors and pupils are keen to study with greater approximation a way to detect a coronary heart assault realistically and correctly. For this work, we created a cardiovascular disease prediction system that assists clinicians in predicting coronary heart contamination primarily based totally on affected person scientific statistics. Our plan is one of the 3 steps. Age, gender, form of chest pain, trestbps, cholesterol, fasting blood sugar, ECG rest, excessive coronary heart price, workout angina, age, inclination, variety of colored vessels, and all variables to consider. Second, we evolved more than one algorithm to distinguish coronary heart ailment primarily based totally on these scientific statistics. The precision of predictability is close to 80% of the time. Finally, we assemble a fundamental heart disease prediction system (HDPS). The HDPS could have some of the capabilities, inclusive of scientific statistics entry, an issue for showing ROC curves, and a predictive overall performance indicator (overall performance time, accuracy, sensitivity, clarity, and predictive outcome). Our procedures can forecast the chance of an affected person having coronary heart ailment with an excessive diploma of accuracy. The HDPS hired for this study is a unique approach to detecting cardiac problems.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126446785","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

Predicting Tags of Stack Overflow Questions: A Deep Learning Approach 预测堆栈溢出问题的标签:一种深度学习方法

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10105054

Srinivasan Subramani, S. Rajesh, Kirti Wankhede, Bharati Wukkadada

引用次数: 0

Design and Control of Omnidirectional Conveyor Model Using Image Processing 基于图像处理的全向输送机模型设计与控制

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10104684

Rohit Bangal, Satyajeet Nalawade, Chaitalee Dusane

引用次数: 0

The Study of Techno-Commercial Factors Influencing The Adoption of Hyper-Automation Across Select Industry Verticals 影响垂直行业采用超自动化的技术-商业因素研究

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10105014

Alisha Farzana, G. Hallur, N. A. Natraj

{"title":"The Study of Techno-Commercial Factors Influencing The Adoption of Hyper-Automation Across Select Industry Verticals","authors":"Alisha Farzana, G. Hallur, N. A. Natraj","doi":"10.1109/SICTIM56495.2023.10105014","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10105014","url":null,"abstract":"This paper aims to present a study on the existing landscape of Hyperautomation as a technology utilization in various industries, and understand the parameters being specified by Subject Matter Experts (SMEs) that will largely contribute in the upcoming days. The work presented starts with scrutinizing various literature on RPA, followed by a detailed discussion on various interrogations with industry experts. This paper provides recommendations that could help mitigate the risks and challenges associated while adopting Hyperautomation at its nascent stages across industry verticals. The research method adopted is a qualitative analysis of the conducted interviews. This was done to gain a more comprehensive understanding of the applications of hyperautomation. As the research paper progresses, it unfolds the transition parameters to be adopted while moving spaces from legacy tools to automating processes. A primary focus lies on the associated security and data privacy concerns, the granular level changes at the application forefront, and the roleplay of regulations. The paper also provides a glimpse of the future of Hyperautomation that might get reflected in industries like BFSI, the Health sector, IT, and Manufacturing.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123526093","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

Alzheimer Prediction using Machine Learning Algorithm 使用机器学习算法预测老年痴呆症

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10104951

Bharati Wukkadada, Kirti Wankhede, S. Rajesh, C. Ria, Tridib Chakraborty

引用次数: 0

Blockchain Enabled Applications in the Education Domain and Potential Challenges 区块链在教育领域的应用和潜在挑战

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10105096

Chetna Achar, Bharati Wukkadada

引用次数: 0

SICTIM 2023 Cover Page SICTIM 2023封面

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/sictim56495.2023.10104955

引用次数: 0

Significance of Cyber Security of IoT devices in the Healthcare Sector 医疗行业物联网设备网络安全的意义

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10104657

Ashley Tuscano, Sujata Joshi

{"title":"Significance of Cyber Security of IoT devices in the Healthcare Sector","authors":"Ashley Tuscano, Sujata Joshi","doi":"10.1109/SICTIM56495.2023.10104657","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10104657","url":null,"abstract":"In recent times, there has been a sudden spike in demand for IoT devices. Humans depend on IoT devices to ease their day-to-day activities, and hence their demand is increasing. But there is growing concern about the vulnerabilities of these devices with their booming growth. IoT devices are prone to cyber-attacks Even the healthcare sector doesn’t shy from the use of IoT devices. But, with the current vulnerabilities that they face, their liability is under question. The healthcare sector has been using IoT devices recently and hence there is a dearth of academic literature with respect to the study of cyber threats and their probable solutions for mitigation. Keeping this research gap in mind, this paper provides an overview of the cyber threats faced by IoT devices in the healthcare sector. More precisely, the paper discusses foreseeable threats and vulnerabilities and provides measures to mitigate or minimize them. This study hopes to provide healthcare providers with a view of the various types of cyber threats occurring due to the usage of IoT devices and how to curtail such risks. It has implications for the IoT infrastructure providers to understand probable frauds and help implement checks while deploying the infrastructure.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114899089","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

Internet of Things (IOT) Driven Digital Transformation in BFSI Sector 物联网(IOT)驱动的BFSI行业数字化转型

2023 Somaiya International Conference on Technology and Information Management (SICTIM) Pub Date : 2023-03-24 DOI: 10.1109/SICTIM56495.2023.10104797

Divyanshu Gupta, Prasanna Kulkarni

{"title":"Internet of Things (IOT) Driven Digital Transformation in BFSI Sector","authors":"Divyanshu Gupta, Prasanna Kulkarni","doi":"10.1109/SICTIM56495.2023.10104797","DOIUrl":"https://doi.org/10.1109/SICTIM56495.2023.10104797","url":null,"abstract":"Internet of Things (IoT) technologies have transformed businesses from physical to data-driven. It is a component of smart infrastructure, and one possible industry that can take advantage of IoT’s enormous potential is banking, financial services, and insurance. In order to make it more efficient, IoT plays a crucial role as the companies collect, share, and analyse data from internet-connected intelligent devices and systems on the cloud to transform business processes. An increase in the use of devices by BFSI customers has led to enormous growth in IoT data usage. This can enable the BFSI sector to anticipate customer needs and strategize opportunities for additional business, leading to enhanced customer loyalty. This digital transformation obtained via IoT devices can improve client interactions and assist in delivering customized services and solutions. The study analyzes the adaptation of IoT technologies for the banking, financial services, and insurance sector, understand the impact as well as benefits of IoT, and its future potential in the BFSI sector. Several use cases in the BFSI sector have been studied with regard to the adoption of IoT technologies, where impact and benefits, as well as digital transformation, are discussed. This study will be helpful to all the industry players and academicians to design and develop various solutions for the betterment of the BFSI sector through the IoT technology that will enhance value for the society at large.","PeriodicalId":244947,"journal":{"name":"2023 Somaiya International Conference on Technology and Information Management (SICTIM)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131544188","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