2019 1st International Conference on Advances in Information Technology (ICAIT)最新文献_第2页

Design and Realization of two stage LNA for X-Band TTC Receiver x波段TTC接收机两级LNA的设计与实现

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987327

Vinay Doki, Alamelu Sunder, D. Shenoy, D. Venkataramana

引用次数: 0

Ring Resonator Based Optical Delay Line Device with Enhanced Delay 基于环形谐振器的增强延迟光延迟线器件

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987424

B.R. Tejaswini, T. Chandrika

引用次数: 0

IoT based Smart Attendance Monitoring System using RFID 基于物联网的RFID智能考勤监控系统

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987434

Unnati Koppikar, Shobha Hiremath, Akshata Shiralkar, Akshata Rajoor, V. Baligar

{"title":"IoT based Smart Attendance Monitoring System using RFID","authors":"Unnati Koppikar, Shobha Hiremath, Akshata Shiralkar, Akshata Rajoor, V. Baligar","doi":"10.1109/ICAIT47043.2019.8987434","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987434","url":null,"abstract":"Most of the institutional authorities are troubled with the cumbersome method of maintaining manual attendance of their employees. The manual process of signing on a paper is prolonged and insecure. An efficient attendance monitoring system needs to be enforced at such places. Radio Frequency Identification (RFID) based attendance system provides us with a solution that caters to issues like proxy attendance. This paper describes the design of an RFID based attendance monitoring system which uniquely identifies each employee/student based on their RFID tag which is attached to their ID card. This makes the mechanism of recording the attendance effortless, quicker and protected as compared to conventional method. This system is designed to be used at different educational institutions, corporate offices, government offices etc. The proposed system consist of both hardware and software components based on IoT Technology. The hardware component consists of RC522 RFID card reader and RFID tags/cards. The software component consists of the Web-based GUI for viewing the employee’s or student’s attendance, which is hosted on a web server and which stores the data in a database server. The employees or students just need to place their RFID card or tag on the reader and their attendance will be recorded for the day. Also, the attendance recorded will be more accurate as the system is synced with a real-time clock.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127003509","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: 21

A Methodological Framework on Development the Garment Payroll System (GPS) as SaaS 基于SaaS的服装工资单系统开发方法框架

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987325

Biman Barua, Md. Whaiduzzaman

{"title":"A Methodological Framework on Development the Garment Payroll System (GPS) as SaaS","authors":"Biman Barua, Md. Whaiduzzaman","doi":"10.1109/ICAIT47043.2019.8987325","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987325","url":null,"abstract":"Management of Payroll is a challenging task for a production based Ready Made Garmentindustry to pay the employee’s salary just in time with accuracy. In an existing Garment industry, calculate thousands of worker’s monthly pay depending on each and every piece of production and with different grades of workers is really a tough job. Hence, it is essential to make the system automated. In cloud based garment payroll system, it keeps track of all workers’ individual daily production, including style and size and after the end of each month generates worker’s net salary by calculating the production amount, production bonus, attendance bonus, festival bonus, no work amount, night allowance by deducting advance if any then generate wages by a single click. This user-friendly proposed cloud Garment Payroll System (GPS) helps to generate thousands or more of a worker’s salary just with a few clicks and 100% accuracy. Unlike traditional payroll system, which is installed on site, cloud-based payroll is hosted and managed by the vendor and pay as you go. The system then can be accessed from any locations from any web-enabled devices like desktop, laptop, Smartphone, tab, etc. using internet connectivity. This proposed system also increases productivity, increase efficiency, security and moreover reduce human errors.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132664606","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

Precision Agriculture using Data Mining Techniques and IOT 使用数据挖掘技术和物联网的精准农业

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987333

N. Sneha, K. Sushma, Surekha Sharad Muzumdar

引用次数: 2

Building Efficient Fruit Detection Model 建立高效的水果检测模型

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987358

Pavan N. Kunchur, V. Pandurangi, Madhu Hollikeri

引用次数: 1

Automatic Segmentation of MRI Images for Brain Tumor using unet 基于unet的脑肿瘤MRI图像自动分割

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987265

Bhargavi S. Vittikop, S. R. Dhotre

引用次数: 4

Community Mining for Predicting the Purchasing Behaviour of Customer in Shopping Dataset 基于社区挖掘的购物数据集中顾客购买行为预测

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987246

C. Spoorthi, Pushpa Ravi Kumar

{"title":"Community Mining for Predicting the Purchasing Behaviour of Customer in Shopping Dataset","authors":"C. Spoorthi, Pushpa Ravi Kumar","doi":"10.1109/ICAIT47043.2019.8987246","DOIUrl":"https://doi.org/10.1109/ICAIT47043.2019.8987246","url":null,"abstract":"Evolution of technology has resulted in a significant growth in each and every field starting from business to research. This growth has caused a great impact in growing the business revenue. Multiple E-commerce sectors have been evolving day by day which are working day and night to reach the peak. At present the research is being carried out in every sector to determine the frequent customers, analyze their behaviour in terms their purchase and various other factors. The main aim is to get hold of the loyal customer by satisfying their needs. So every ecommerce sectors are moving in the direction to determine the best model to identify such key players. Key player is the one who is found to make the frequent purchase which helps to increases the revenue of retailers. The historical data has to be used to perform the analysis of key players in a shopping data set. Handling such huge data requires best tools and techniques and one such domain is Data Mining. In this proposed work an efficient model is developed by applying the data mining techniques such as preprocessing, feature selection, community build and mining. The dataset collected has to be cleaned in order to reduce the computation and to eliminate the error rate for which preprocessing is carried out using the algorithm regex and mean weighted average vector. The preprocessed data has to be reduced in terms of its dimension for which the feature selection is applied. The algorithms PCA with accuracy 89%, recursive feature elimination with accuracy 67% and Karl Pearson Correlation is also used and compared. The community is built for the extracted features using dependency algorithm. Community mining techniques has been applied to find the degreeness, closeness, betweeness property of the nodes is used to find the key player among the communities.","PeriodicalId":221994,"journal":{"name":"2019 1st International Conference on Advances in Information Technology (ICAIT)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121419174","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

Online Shopping Customer Behaviour Analysis using centrality measures 使用中心性测量的网上购物顾客行为分析

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987252

Kavitha H.M, Suraj Duncan T, P. Ravikumar, Varun E

引用次数: 3

High Q-factor 2D PCMicrocavity Ring Resonator Based Biosensor for Biomedical Applications 基于高q因子二维pc微腔环谐振器的生物医学应用生物传感器

2019 1st International Conference on Advances in Information Technology (ICAIT) Pub Date : 2019-07-01 DOI: 10.1109/ICAIT47043.2019.8987280

Basavaprasad, Indira Bahaddur, V. Kolli

引用次数: 6