检索结果-内蒙古大学图书馆

International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Ram Pratap Taskeen Zaidi Assistant Professor Department of MCA ShriRamswaroop Memorial Group of Professional Colleges Lucknow India Associate Professor Faculty of Computer Science &Engineering ShriRamswaroopMemorial University Barabanki India

ISBN: (纸本)9781538646939

Delivery of reliable services in cloud environment is a major issue. Reliability may be achieved by implementing the fault tolerance. Due to the abundant growth of traffic and service request on cloud datacenters, balancing the load in cloud environment is one of the serious challenges as failure may occur due to increase in power consumption, node failure, machine failure etc. Therefore there is a need of a policy for balancing the load among the datacenters and various solutions to balance the load have been proposed by researchers. Load distribution is the mechanism of dispersal the load between different nodes based on certain parameters such as underloaded(node) and overloaded (node). In this research article we have discussed the concept of dispersal of load and then perform a comparative analysis of various task-scheduling policies such as First Come First Serve, Shortest Job First and Round Robin on *** simulation results on Cloudsim depicted that RR task-scheduling is much better than the FCFS and SJF whether we are using the Time shared policy or Space shared policy for execution of cloudlet.

关键词： Cloud computing Task analysis Load management Heuristic algorithms Virtual machining Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence Model for Earlier Prediction of Cardiac Functionalities Using Multilayer Perceptron

引用

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

作者： Sivaranjani, R Yuvaraj, DrN PG Student Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Associate Professor Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India

Cardiovascular Disease is the silent killer and it is one of the leading cause for global death annually. The percentage of premature death varies from 7% in high-income countries and 43% in low-income countries. It is mainly due to lifestyle changing factors such as obesity, diabetes, etc. While working to reduce earlier deaths, it is revealed, how important the earlier prediction of heart disease is. In the medical field, diagnosing heart disease earlier is a difficult task for medical practitioner since it depends on combining clinical and pathological data. The purpose of this paper is to implement a medical prediction support system for predicting cardiac disease. Deep learning approach based computational model is designed for diagnosis. This proposed system has three main steps. First, a dataset with 13 attributes (13 clinical features) from the website is collected. Second, the datasets are trained using an algorithm called artificial neural network with backpropagation technique. It can have one or more hidden layers in order to get higher accuracy. Finally, Cardiac Function Prediction System (CFPS) which is an interactive GUI is developed, where the user can enter the clinical features and get to know the current status of a patient’s health. This system enhances medical care and reduces the treatment cost. This system will act as a promising tool for the medical practitioner for proper diagnosis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An IoT Based Gradient Descent Approach for Precision Crop Suggestion using MLP

引用

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

作者： P. Kanaga Priya N. Yuvaraj PG Student Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Associate Professor Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India

Agriculture plays a prime role in providing food to a massive population. It has a predominant role in improving the economic development of our nation. In recent days due to the changes in weather pattern, the crop cultivation has become the greatest challenge. This directly or indirectly affects the productivity of the crops. Hence to overcome from this and to the improve productivity of the crops new technologies can be brought up for usage. The usage of these new technologies will convert traditional farming practices into precision farming. The new technology specified here includes the data analysis and Internet of Things (IoT). As it is revealed that it improves the productivity of the crops by maintaining the finest crop health. Although changes had been adopted in the recent agricultural practices the major issue yet not gets resolved. One such main issue yet to be resolved is cultivating precise crop at the precise time. This can be done with the help of deep learning algorithm such as Artificial Neural Network (ANN), which is found to be an effective one for predicting the precise crop. Hence the proposed system aims at helping the farmers by providing valuable insights to them. These insights can be driven with the help of parameters such as soil moisture level, humidity, temperature and pH collected from the sensors using IoT. In addition to these other parameters include soil type, land type, and the area sown. The crop prediction Graphical User Interface (GUI) system will take these valuable inputs and give suggestions using the crop suggestion user interface. The prediction is made using the Deep Neural Network (DNN) which predicts about the crop to be get cultivated, fertilizer to be used, production range etc. The crop suggestion system greatly helps the farmers to take a valuable decision.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Intelligent Transportation Cyber Physical system toward Comfort and Safety perspective using Fuzzy Logic

引用

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

作者： P.Sri Sindhuja Selvanayaki Vishnu KumarKaliappan PG Student Department of Computer Science and Engineering KPR Institute of Engineering andTechnology Coimbatore India Associate Professor Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India

Intelligent transportation cyber physical system (ITCPS) is used to enhance the safety and performance of the road transportation of a country. A crucial element that affects road safety is passengers comfort factor since a large crowd always invites accidents. An Intelligent Transportation Cyber Physical System is proposed using fuzzy logic for automatic crowd monitoring in buses. Sub-sentential research has been undertaken in ITCPS to manage traffic, safety, and security among which safety measures in the public transportation system is crucial. The main focuses of this paper are on passengers comfort factor and safety. The proposed framework gathers a large set of input parameters using an onboard sensor. Fuzzy logic is applied to identify whether the passenger bus is crossing the safety limit, the data are stored in cloud storage. The Intelligent Transportation Cyber Physical System then monitors the crowded area and allocates another bus by providing proper intimation to the users, the process avoids bus bunching. The test bed is created to simulate the Intelligent Transportation Cyber Physical System framework, with the different scenario the performance is measured.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Intelligent Chatbot Model to Enhance the Emotion Detection in social media using Bi-directional Recurrent Neural Network

引用

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

作者： M. Balaji N. Yuvaraj PG Student Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India Associate Professor Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore India

A Chatbot is like a digital assistant, can be pretrained or have self learning capability. It can be trained to understand the user queries and respond in natural language of the user during a conversation. Chatbot can actively help human to involve in a digital conversation since it can make use of the natural language processing. The existing Chatbot enhances the communication but it does not improvise the information when it is needed. And sometimes they go beyond the topic during conversation which is a major drawback. The proposed bot could identify the emotional status of the users and can provide suggestions using Bi-directional Recurrent Neural Network and tensor flow library functions. The popularity of the chat bots lets our system to be used for much variety of applications. These chat bots be used to automate the various fields like e-learning, e-government and web based models.

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

DATA MINING USER BEHAVIORS IN MOBILE ENVIRONMENTS

引用

Journal of Physics: Conference Series 2019年第1期1228卷

作者： Narsimha Banothu J S V R S Sastry Working as an Associate Professor Department of Computer Science and Engineering Holymary Institute of Technology & Science (HITS) Hyderabad Telangana State India Working as an Assistant Professor Department of Computer Science and Engineering CMR Technical Campus (CMRTC) Hyderabad Telangana State India

Mining client practices in portable situations is a developing and imperative theme in information mining fields. Past inquires about have consolidated moving ways and buy exchanges to discover versatile consecutive examples. Be that as it may, these examples can't reflect real benefits of things in exchange databases. In this work, we investigate another issue of mining high utility versatile consecutive examples by coordinating portable information mining with utility mining. To the best of our insight, this is the primary work that joins versatility designs with high utility examples to discover high utility portable consecutive examples, which are portable successive examples with their utilities. Two tree-based strategies are proposed for mining high utility versatile successive examples. A progression of investigations on the execution of the two calculations are led through trial assessments. The outcomes demonstrate that the proposed calculations convey preferred execution over the cutting edge one under different conditions.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Medha : A Collaborative E-Concept Framework

Medha : A Collaborative E-Concept Framework

引用

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

作者： B.S Abhigna Sudeshna Chakraborty Vivek Kumar M. Tech Scholar School of Computer Science and Engineering Lingaya’s University Associate Professor CSE Lingaya’s University Vice Chancellor Quantum University

ISBN: (纸本)9781538624609;9781538624593

In this paper we explain the delineation and enactment of an E-Conceptual Automation based Academic System christened Medha. E-concept is a slight deviation from E-learning. While E-learning emphasizes on the provision of a complete learning management system in the usually fixed standards, E-concept chooses to do the same in a non-standardized manner. This property of building its structure on the fly makes it more flexible and at the same time gives the arena of user-friendly environment an absolute next level experience. Medha is an insightful combination of both E-concept and semantic web. The ability to access the web in a semantic analysis approach ensures more accurate and relevant search results as compared to the usually opted syntactic approach. This system avails almost everything a student would require to excel in academics. Not only does this system provide encouragement through the motivational blog section but also enables the users to share their viewpoint at the Users-corner. So the aim is to provide everything on a single platform which would save both - time and energy of the students while they are on the quest to acquire supreme quality knowledge.

关键词： Internet of Things Handheld computers

来源：评论

学校读者我要写书评

暂无评论

Visuo-haptic Simulations to Improve Students’ Understanding of Friction Concepts

Visuo-haptic Simulations to Improve Students’ Understanding...

引用

Frontiers in Education (FIE) Conference

作者： Luis Neri Alejandra J. Magana Julieta Noguez Yoselyn Walsh Andres Gonzalez-Nucamendi Victor Robledo-Rella Bedrich Benes Professor of the School of Engineering and Sciences Tecnologico de Monterrey Mexico City Mexico Associate Professor of Computer and Information Technology and Engineering Education Purdue University West Lafayette Indiana Graduate Student of Computer and Information Technology & Costa Rica Institute of Technology Purdue University West Lafayette Indiana Professor of Computer Graphics Technology and Computer Science Purdue University West Lafayette Indiana

ISBN: (纸本)9781538611753;9781538611746

Statics is a backbone course for several engineering disciplines and also a pre-requisite for dynamics and mechanics of materials. Researchers have identified a lack of understanding of statics as a significant source of difficulties in terms of both conceptual understanding, representation of free body diagrams (FBD) and problem-solving ability. Our approach to improve the learning of the concept of friction focuses on students' understanding of acting forces and specific components of such forces of a system. The presented quasi-experimental study investigates how the use of visuo-haptic simulations can improve students understanding and use of FBD. Specifically, we compared two visuo-haptic simulations; one that explicitly visually depicts FBD of multiple objects interacting with different surfaces, while the other only provides haptic feedback while students engage in the same forms of interaction. Our results suggest that using the visuo-haptic simulator with FBD leads to better learning results. These findings support the hypothesis that appropriately sequenced visuo-haptic simulators with well-designed visual cues can help students to better understand and use FBD.

关键词： Friction Force Haptic interfaces Visualization Rough surfaces Surface roughness Kinetic theory

来源：评论

学校读者我要写书评

暂无评论

Semantic Predictive Model of Student Dynamic Profile Using Fuzzy Concept

引用

Procedia computer science 2018年 132卷 1592-1601页

作者： T. Sheeba Reshmy Krishnan Research Scholar Department of Computer Science and Engineering Karpagam University Coimbatore-641021 India Associate Professor Department of Computing Muscat College P.O.Box: 2910 P.C:112 Ruwi Sultanate of Oman

Student profile describes the best way a student prefers to learn. It includes information on student’s characteristics such as background knowledge, learning preference, styles, interest, goals etc. The major challenge that the students face in learning system is that they are unable to retrieve relevant information based on their requirements. One of the methods used to obtain the requirement of the students is to construct an efficient student profile which would reflect the true student needs. The proposed work is to develop an intelligent ontology-based dynamic student profile that provides semantic retrieval using fuzzy concepts. The approach starts with the collection of both static and dynamic data of students. The dynamic dataof students particularly student interest and learning style are obtained by weblog analysis using algorithms such as semantic based representation using WordNet and decision tree classifier algorithm based on Felder-Silverman learning style model (FSLSM). The retrieved data is then used to construct student profile using ontology in which automatic student profile updating is obtained using ontology -based semantic similarity algorithm using WordNet. Finally, semantic retrieval of student information from ontology is achieved by integrating fuzzy concepts using fuzzy linguistic variable and ‘fuzzy IF THEN’ rules. Fuzzy linguistic variable is used to make precise representation on the existing ontology concepts which facilitate more specific classification and semantic retrieval of information. The predictive model of student profile is designed with the implementation of ‘fuzzy IF THEN’ rules using forward chaining reasoning process in the existing ontology model. The inference engine predicts the preference of a new student based on the reasoning process done for specific conditions particularly on student interest and learning style. The experiments were performed using NetBeans IDE, OWL API and Protégé 4.2 beta editor. The experime

关键词： Dynamic studentprofile Ontology WordNet Reasoning Fuzzy linguistic variable Fuzzy IF THEN rules

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：