检索结果-内蒙古大学图书馆

IOP Conference Series: Materials science and engineering 2020年第4期981卷

作者： Dr.S Hrushikesava Raju Dr Lakshmi Ramani Burra Saiyed Faiayaz Waris S Kavitha Associate Professor Dept. of Computer Science and Engineering Koneru Lakshmaiah Educational Education Vaddeswaram Guntur Assitant Professor Dept. of CSE PVP Siddhartha Institute of Technology Kanuru Vijayawada Assistant Professor Dept. of CSE Vignan's foundation for Science Technology and Research Vadlamudi Guntur

Now-a-days, food is very important in order to feed to the live people or animals. It is required to know the statistics about the food in terms of proteins, fat, and factors that increase immunity power. Hence, the proposed methodology called food IoT is developed that will scan the food and displays the statistics that guide details to the customer or client. The details describe about calories that are helpful, the details that will increase fat, the details like food is poisoned, and from the provided statistics, any one could judge the food is useful to feed. This proposed application guarantees the good health because health depends on feeding of food. This is more proactive because it guides which items to be added in case there is less kind of positive minerals and less proteins identified. Hence, a sensor to be required that will display the statistics about the food and is more helpful to the people in order to know category of factors involved in the food. The timed out and mineral less food is identified and could come to be known in this proposed approach. Also, this proposed approach helpful in terms of alerting as a guide based on past experience and reports future predictions about the health as like future weather predictions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

WITHDRAWN: An efficient food quality analysis model (EFQAM) using the internet of things (IoT) technologies

引用

Microprocessors and Microsystems 2021年

作者： Neeba EA D. Tamilarasi S. Sasikala Resmi R. Nair K.S. Uma Department of Information Technology Rajagiri School of Engineering & Technology Rajagiri Valley Kakkanad Kochi – 682039 Kerala India Department of Electronics and Communication Engineering MVJ college of Engineering Whitefield Bangalore India Department of Computer Science and Engineering Velammal College of Engineering and Technology Viraganoor Madurai-625 009 Tamil Nadu India Department of Electronics and Communication Engineering Easwari Engineering College Ramapuram Chennai-600089 Tamil Nadu India Assistant Professor Department of Electronics Engineering Pillai College of Engineering New Panvel Navi Mumbai Maharashtra 410206 India

This article has been withdrawn: please see Elsevier Policy on Article Withdrawal ( https://***/about/our-business/policies/article-withdrawal ). This article has been withdrawn at the request of the Editor in Chief. Subsequent to acceptance of this special issue paper by the responsible Guest Editor Vimal Shanmuganathan, the integrity and rigor of the peer-review process was investigated and confirmed to fall beneath the high standards expected by Microprocessors & Microsystems. There are also indications that much of the Special Issue includes unoriginal and heavily paraphrased content. Due to a configuration error in the editorial system, unfortunately the Editor in Chief did not receive these papers for approval as per the journal's standard workflow.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Predicting the Customer Behavior Through Web Page and Content Mining Techniques

Predicting the Customer Behavior Through Web Page and Conten...

引用

International Conference on Communication, Computing and Internet of Things (IC3IoT)

作者： VM Sundharam M.S. Sriramm Priya Pachhaiammal Computer Science and Engineering Sri Sairam Institute of Technology Chennai India Assistant Professor Computer Science and Engineering Sri Sairam Institute of Technology Chennai India

ISBN: (纸本)9781538624609;9781538624593

The ideology of the people has changed over the decades, with the people's interest shifting towards a more closed environment, thinking about themselves, rather than their environment, consisting of their kith and kin and others. The result of this isolation is that the mental psychology of the people changes in accordance with the technological advancement. The major disadvantage is that the people's mental psychology could not be identified to follow any specific pattern. But the root of the tree is clear, the technology. Hence the analysis of the behavior of the user is done by allowing them answer a series of questions.

关键词： Handheld computers Internet of Things Amplitude modulation

来源：评论

学校读者我要写书评

暂无评论

IoT based saline level monitoring system

引用

IOP Conference Series: Materials science and engineering 2020年第3期981卷

作者： G. Sunil Srinivas Aluvala G. Ranadheer Reddy Vedantham Sreeharika Parupally Sindhu Sriramula Keerthana Department of Computer Science and Engineering S R Engineering College Warangal Telangana India School of Computer Science and Artificial Intelligence S R University Warangal Telangana India Assistant Professor Department of Computer Science and Engineering Sumathi Reddy Institute of Technology for Women Warangal Telangana India B. Tech Student Department of Electronics and Communication Engineering S R Engineering College Warangal Telangana India B. Tech Student Department of Computer Science and Engineering S R Engineering College Warangal Telangana India

In the process of medication, it is a common practice to treat patients with saline for dehydration and other medical ailments to improve the health condition of the patients. When fed with saline continuous observation of nurses is mandatory in monitoring the level of the saline. There are many cases where patients are being harmed due to the staff inattentiveness, as their absence does not notice the completion of saline level in the container. This arise the problem of back flow of blood immediately after the completion of saline in container. Hence to protect the patient from getting harmed an IoT based saline level monitoring system has been developed. The proposed model incorporates a sensor which continuously detects the saline drops. Whenever the sensor does not detect the drops for a certain interval it alerts the staff of the hospital with the buzzer, helping to monitor the safety of the patients.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Novel Approach for Agile Software Development Methodology Selection Using Fuzzy Inference System

A Novel Approach for Agile Software Development Methodology ...

引用

International Conference on Smart Systems and Inventive Technology (ICSSIT)

作者： Anand Kumar Rai Shalini Agarwal Abhishek Kumar Computer Science & Engineering Shri Ramswaroop Memorial University Barabanki India Associate Professor Computer Science & Engineering Shri Ramswaroop Memorial University Barabanki India Assistant Professor Department of Computer Science Banaras Hindu University Varansi

ISBN: (纸本)9781538658741

An Agile Methodology of software development has been more popular in the software industry in terms of fast software delivery, less documentation, more satisfaction and more interactions between developers and users. In this paper Fuzzy Inference System based model is proposed to select an appropriate agile method for successful software development. A number of agile methods such as Extreme Programming (XP), Scrum, Feature Driven Development (FDD) and Dynamic System Development Method (DSDM) have been proposed in the literature. Selection of an appropriate method for a given project is a pivotal and a challenging issue. As a solution to this problem, the projects are categorized into four classes namely, Small scale, Medium scale, large scale and safety critical projects, where project size is estimated based on programmer months (PM) and the proposed model is applied to select the most appropriate agile method for each of the project category. MATLAB Simulation results reveal that the proposed model is efficient in predicting the suitability of one of the agile methods.

关键词： Fuzzy logic Software Software engineering Programming Conferences Agile software development Mathematical model

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Survey of Spam Profile Detection Methods in Online Social Networks

引用

Journal of Physics: Conference Series 2019年第1期1362卷

作者： R. Krithiga E. Ilavarasan Assistant Professor Department of Computer Applications Perunthalaivar Kamaraj Arts College Puducherry Professor Department of Computer Science & Engineering Pondicherry Engineering College Puducherry

Social networks have grown into a popular way for internet surfers to interact with friends in addition to family members, reading news, and also discuss events. Users spend more time on popular social platforms (e.g., Facebook, Twitter, etc.) storing and sharing their personal information. This fact together with the prospect of communicating thousands of users fascinates the concentration of malicious users. They exploit the implicit trust interactions concerning users with the purpose of accomplishing their malicious objectives, for instance, create malicious links inside the posts/tweets, spread fake news, send out unsolicited messages to genuine users and so on. In this paper, we reviewed various existing techniques on spam profile detection in online social networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Goal Programming Model for Optimizing Working Capital Management: Case of Tire Retreading Company

引用

Journal of Operations and Strategic Planning 2018年第2期1卷 148 - 167页

作者： Arunkumar O. N. Divya D. Tony Mathew Associate Professor Department of Mechanical Engineering Sree Narayana Gurukulam College of Engineering Kadayiruppu Kolenchery Ernakulam Kerala India. Assistant Professor Department of Computer Science and Engineering Adi Shankara Institute of Engineering and Technology Vidya Bharathi Nagar Mattoor Kalady Ernakulam District Kerala India. Assistant Professor Department of Mechanical Engineering Kottayam Institute of Technology and Science Kottayam Kerala India.

This article discusses goal programming model for optimizing working capital management (WCM) of a tire manufacturing company. The mathematical model is run for the years 2008–2009 to 2012–2013 and values of the respective goals are taken from it. The validation for the model values with the actual values from the financial data are carried out to check the significance of the model values. The significance test is carried out in one sample t-test. It is observed that all the values got from the model are significant. The sales of the company for the year 2013–2014 is forecasted from the past data by linear regression using Microsoft Excel as a trend line. The model is used to 2analyze the values of variables of WCM for the year 2013–2014 to achieve a 30 percent return on assets (ROA) for the forecasted sales.

关键词： Working capital management goal programming LINGO tire manufacturing firm

来源：评论

学校读者我要写书评

暂无评论

Analysis of KNN Algorithm with Mapreduce Technique on Big Data

引用

IOP Conference Series: Materials science and engineering 2019年第1期590卷

作者： Tatikonda Bhavana J. Padmavathy R. Sethuraman J.K. Jeevitha UG Scholar Sathyabama Institute of Science and Technology Chennai. Assistant Professor Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai. Assistant Professor PSNA College Engineering and Technology

Due the fast growth of new technology application like social media analysis, web data analysis and medical information network analysis, here the various types of data are processed frequently. The large amount of effective data management and analysis is very vital goal. To reduce the data processing complexity, time complexity, and space complexity in Big Data, the paper going to propose the k-nearest neighbor join (KNN) operation. KNN is used to find the K nearest points in S. It is a computational task that will handle the large range of applications such as knowledge discovery or data mining. When the volume and the dimension of data increases, then only distributed approaches can perform the big operations in a given time. Recent works have done on implementing the efficient solutions using the map reduce programming model because it is used for distributing the large scale data processing. Although these works provide different solutions for the same problem, each one has particular constraints and properties. This paper compares the existing of different computation of KNN on MapReduce. First the paper compares the solutions in to three steps for KNN computation on MapReduce: 1) Data processing, 2) Data partitioning and 3) Computation. The Experiment in this paper explains the variety of different data sets, and analyzes the data volume, data dimension and the value of k from many perspectives like time and space complexity, and accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

IKP based biometric authentication using artificial neural network

引用

AIP Conference Proceedings 2020年第1期2271卷

作者： M. Viswanathan Ganesh Babu Loganathan S. Srinivasan 1Lecturer Computer Science Department Cihan University Duhok KRG Iraq 2Assistant Professor Research CenterTishk International University Erbil KRG Iraq 3Asst. Professor EEE Department Panimalar Engineering College. Chennai India

The primary objective of this paper is to verify individuals as indicated by their finger surfaces. We propose to remove Finger Texture (FT) highlights of the two finger pictures (center, ring) from a low goal contactless hand picture utilizing LBP strategy. The utilization of Inner-Knuckle-Print (IKP) in biometric recognition is the most broadly proposed validation work. The unique characteristics of the IKP give us the requirement for recognizable proof. During the IKP filtering process, the image created by the scanner might be partially unique. This paper proposes artificial neural networks for effectively coordinating procedures to IKP validation. By utilizing the Back-Propagation method, the algorithm coordinates IKP and relates them to a novel accomplished client. After grouping, the procedure restores to the best counterpart for the given finger impression variables.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Perspectives for the Use of Digital Technologies in the Agricultural Sector in Order to Optimize Agricultural Operational Processes

引用

IOP Conference Series: Earth and Environmental science 2021年第3期666卷

作者： A L Zolkin E V Matvienko M V Shavanov Ph.D. in Engineering Science Senior Lecturer of Computer and Information Sciences Depatment of the Povolzhskiy State University of Telecommunications and Informatics Ph.D in Biological Science Junior Researcher of the Laboratory of Breeding and Seed Farming of Cereal and Sorghum Crops Volga NIISS - branch of the Samara Scientific Center of the Russian Academy of Sciences Assistant Professor of Horticulture and Viticulture Department of the Federal State Educational Institution of Higher Professional Education Chechen State University

The article deals with issues of impact of the digital economy on the development of agriculture, it determines the degree of influence of information technologies on agricultural production processes, presents the types of information received from farmers and proposes process solutions for digitalization of production for each agricultural producer. The main directions of digitalization of breeding and seed production have been considered. It has been established that digital technologies make it possible to achieve the intended results faster and more efficiently and to reveal the fullest genetic potential of plants.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：