2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)最新文献

{"title":"Advanced 3D body scanning techniques and its clinical applications","authors":"Ashish Kaushik, Sumit Gahletia, R. Garg, Pardeep Sharma, Deepak Chhabra, Mohit Yadav","doi":"10.1109/ICCMSO58359.2022.00074","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00074","url":null,"abstract":"3D laser scanners are creating a shift in measuring the size and shape of the human body to evaluate the patient's helath.3D scanners are extensively used to precisely assess the person's body size, shape, and skin texture. This paper represents the current scenario of widely implemented laser scanning techniques for clinical applications. The paper briefly describes the most suitable 3D body surface scanning methods, mainly (i) laser triangulation, (ii) structured light scanning, (iii) time of flight and (iv) photogrammetry. The review also discusses the use of digital scanners in clinical applications, including diagnosis, treatment, monitoring, preclinical testing, and epidemiology. This technical review has two main goals: (i) medical professionals can determine the most appropriate scanning technique depending on the requirements. (ii) Recognizing prevalent research gaps for the people working in same area.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116606473","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}

{"title":"On Algebraic Characteristics of Fuzzy T-Sub algebra in T-Algebra under the Normalization","authors":"M. Premkumar, H. Bai, A. Prasanna, K. S. Parmar, M. Karuna, M. Rinawa","doi":"10.1109/ICCMSO58359.2022.00040","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00040","url":null,"abstract":"The normal greatest element of the post of fuzzy T-sub algebra in T-algebra as well as the normal fuzzy T-sub algebra in T-algebra are defined in this article. Additionally, the normal greatest element of the post of fuzzy T-sub algebra in T-algebra is explored.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116302831","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}

{"title":"Impact of Various Manufacturing Processes On the Productivity of Composite Materials","authors":"Dipesh Uike, Sushant Waghmare","doi":"10.1109/ICCMSO58359.2022.00079","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00079","url":null,"abstract":"A composite material is a mixture of two materials which have different chemical and physical properties. When both these different materials are combined, a new specialized material is formed to perform a particular job, for example, an insulated material for electric components. There are different methods of making composite materials such as open molding manufacturing, closed molding manufacturing, etc. Out of various manufacturing methods the research study has considered open molding and closed molding manufacturing. The main purpose of the research study was to know the impact of various open molding and closed molding processes on the productivity of the composite materials. For open molding manufacturing, Filament Winding, Hand Lay-up, and Spray-up processes were considered. For closed molding manufacturing, Continuous Lamination, Pultrusion Molding, Compress Molding, Reinforced Reaction Injection Molding, Resin Transfer Molding and Vacuum Bag processes were considered. A comparison was done between open molding manufacturing processes and closed molding manufacturing processes by using multiple regression analysis tool in Mumbai city. Total 140 manufacturing units have been selected. The result of the study has shown the effectiveness of the processes in the productivity of the composite materials and found out a clear distinction between open molding and closed molding processes.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117079287","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}

{"title":"Bone Cancer Detection techniques using Machine Learning","authors":"Er. Charnpreet Kaur, Urvashi Garg","doi":"10.1109/ICCMSO58359.2022.00068","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00068","url":null,"abstract":"Bone cancer is one of the prevalent cancers, any fracture or abnormalities (Cancer) need to be predicted at early stage like other cancers because it spreads to the other parts of body or organs is known as metastasis. Bone cancer is also known as Osteosarcoma, which is malignant primitive bone tumor. Bone cancer is of two types primary and secondary where primary bone cancer originates from Bone and spreads to the other parts of body. On the other hand Secondary bone cancer is also called bone metastasis it occurs when cancerous cell spreads from other parts of body towards bone. This paper presents the different types of Bone cancer such as bone sarcoma and bone metastasis and their stages. As different acquisition techniques plays vital role in the detection of the bone cancer or any type of cancer so this work also discussed different image acquisition techniques. Secondly, this work discussed different classification techniques and their comparison for bone cancer detection. This paper discussed regarding the work done in the field of Bone cancer detection using different feature selection, segmentation and classification techniques on different types of images such as MRI, X-ray and CT Scan and also discussed the challenges and opportunities for Bone cancer detection.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126427227","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}

{"title":"A framework for predicting course time duration using mapreduce and K-means","authors":"Ashim Sharma, Surender Singh","doi":"10.1109/ICCMSO58359.2022.00017","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00017","url":null,"abstract":"With the upcoming of new innovations, new developed patterns are brought into the educational framework which brings about enormous information which is unordered, and it is likewise, a test for understudies to allude to those scholastic courses which are useful in their modern preparation and expands their vocation possibilities. Another test will help to change over the unregulated information into organized and significant data there is a requirement for Data Mining Techniques. The appropriate file system is utilized to hold a large amount of information and allows to reduce the over storage of unregulated data. Information extricated utilizing MapReduce is useful in decision making for understudies for deciding courses picked to undergo modern preparation. In this paper, with the help of MapReduce and K-means algorithms we sort the data into their respective time durations from which the users can choose their courses based on the required time duration in which they are willing to complete the courses. Here, utilizing Distributed File System (DFS), errands run over MapReduce, and the result is obtained after aggregation. Our implementation allows users to choose their subject of interest with the best possible time duration they require to complete the course.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115481571","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}

{"title":"Examining Influence of Marketing Methods on Adolescents Buying Perceptions Using AHP","authors":"K. Budhiraja, Meenu Gupta","doi":"10.1109/ICCMSO58359.2022.00027","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00027","url":null,"abstract":"Kids, teenagers, and young adults today make up a crucial buying sector and have more purchasing power than they had in the past. Advertising and other marketing strategies target teenagers and children as vital customers in the current corporate environment. The study focuses on the marketing methods employed for teenagers and shows that, despite businesses' long-standing focus on children, there are new factors that have increased marketers' concern. The main goal of this study is to examine how different digital and other marketing strategies affect adolescents' buying perceptions. The purpose of the research is to review prior work in such area and to conduct a survey using a questionnaire. The findings revealed strategies used by businesses to influence adolescents and also assessed the significance of these strategies using AHP (Analytic Hierarchy Process). The study's findings point to the marketing strategy that has the most impact on teens' purchasing decisions. The analysis of new online marketing strategies and their impact on adolescent behaviour has made use of secondary data.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975137","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}

{"title":"A Multi-Stage Event Detection Model for Video Datasets Nature-Inspired and Optimized Feature-Based Learning Model","authors":"Raman Chadha, Sanjay Singla, Md. Abdul Wassay","doi":"10.1109/ICCMSO58359.2022.00026","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00026","url":null,"abstract":"Estimating the state of the item being tracked is part of the Object Tracking process. Visual tracking is a subject in computer vision that has potential applications in a wide variety of emerging and established technical fields, such as robotics, video surveillance, human-computer interaction, autonomous cars, and sports analytics, to name a few. Therefore, visual trackers are used in mobile robots, in the monitoring of traffic, in the vision of robots, and in the forecasting of accidents. When trying to draw conclusions about the motion of an item based on a set of photographs that have been collected, one of the most challenging challenges is known as “tracking,” and it is one of the most important aspects of this endeavor. The size of an item, its position, and its articulation are the three tasks that provide the greatest challenge in computer vision owing to non-visibility changes. This is because there are certain instances in which the appearance of a visual object is not apparent. The object tracking algorithm is able to function well because of the utilization of a number of characteristics, including the Grayscale feature, Gradient feature, Texture feature, Colour feature, and Fusion of several features. This review article presents a comprehensive assessment in order to learn more about the most current studies in this field and to make suggestions for the conduct of future research. The vast majority of the papers that are being considered are concerned with the identification of events of various kinds, including those that take place in real-time, sports, traffic, natural catastrophes, and other topics. The two issues that have received the most research attention in the field of computer vision are object popularity and the ability to localize an object inside a movie. The popularity of an item is a topic that may be discussed alongside its representation, detection, and categorization. The popularity of object detection and its use in 3-D devices has been studied in a variety of issues, such as monitoring of the places in which it is stored in order to extract it. Given the prior function and length of the target item, the objective of visible tracking is to adjust an arbitrary object in any environment. The aim may be accomplished in one of two ways: either by monitoring a single item or by tracking many objects at the same time. The EFS-linear MSVM approach is proposed as a means of identifying many events within video sequences in this work. The primary objective of this research is to provide an appropriate approach for the selection of features and a classification strategy for the identification of multiple events in You Tube videos. The frames are improved by histogram equalization, and then GLTP, HOG, and Tamura features are employed to extract the feature vectors, which are often of a higher dimensional type. An effective method of feature selection known as EFS is recommended for use in the process of picking the most ","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127708490","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}

{"title":"Performance Comparison of AI Models for Digital Image captioning","authors":"Rajwinder Kaur, Gurpreet Singh","doi":"10.1109/ICCMSO58359.2022.00058","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00058","url":null,"abstract":"Digital Image captioning field deals with the concept of interpreting a given image by the application of different Artificial Intelligence (AI) based algorithms. These kind of systems always considered the input in the form of image and replying with an output representing some text or speech samples. This output explains the content present in the image. These kind of automated systems proven good in the areas like medical image processing, online review systems, speech conversion for visually impaired persons etc. This paper represents a comparative study among four different AI models: Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM) and kNN (k-Nearest Neighbor) in context of image captioning activity. Random scenes in the form of input images has been consider to show the part of diverse nature of these algorithms. It has been observed that SVM classifier outshine as compared to rest of the models with the overall accuracy of 98%.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131422903","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}

{"title":"A Review on Risk Management Framework for large scale scrum","authors":"Simran Kaur Khurana, Md. Abdul Wassay, Karun Verma","doi":"10.1109/ICCMSO58359.2022.00082","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00082","url":null,"abstract":"Risk management is a crucial part of every project. The primary objective of risk management is to recognize risks at an initial stage of the project and to take necessary steps to mitigate them. The effective prioritization of risk that come up is crucial and plays an important role in the field of software development. Using agile development techniques one of the main goals is to lower risk, which leads to more successful and efficient information systems. In order to produce high quality comparatively in a shorter span of time organizations are adopting agile approaches in distributed software development. In the recent times a lot of software based projects got converted into DAD projects. The primary advantages of these projects are saving the cost and proximity to market because they are spread over a large-scale scrum, Large scale scrum project development presents unique challenges in the risk management specially the difficulties faced in collaboration of teams where there is not a particular procedure to communicate and cooperate. Collaboration of teams and exchange of important information is an essential resource for the success of large scrum teams. Therefore it is important to create a dynamic method that encourages the communication and collaboration of team in large scale scrum environment. So in this paper we are going to review a framework for risk management in large scale scrum using outer meta data requests. This framework tries to manage the requests amongst different teams. As a result, it resists the missing collaboration of teams, threats and risks to the completion of projects. It also facilitates in the exchange of team knowledge, experience and skills. The proposed methodology was applied to two different case studies. The implementation and evaluation demonstrated the viability of proposed framework.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130490845","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}

{"title":"Energy Efficient Resource Allocation in Cloud Data Center: A Comparative Analysis","authors":"Nidhi Chauhan, Navneet Kaur, K. S. Saini","doi":"10.1109/ICCMSO58359.2022.00049","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00049","url":null,"abstract":"Cloud computing is a computational paradigm that provides multiple services over the internet on a pay-per-use basis. Its enticing qualities, such as adaptability, uptime, flexibility, cost reductions, and on-demand service, have encouraged service providers to adopt this technology. To meet customer demand for services, providers were invigorated by the rising popularity of cloud computing to expand the underlying computer infrastructure of the data centers. These large-scale data centers have resulted in a significant rise in energy usage and carbon emissions. The ever-increasing energy consumption of data centers has become a significant concern for both researchers and Cloud service providers. Another concern in the cloud data center is the inefficient allocation of resources that results in excessive energy utilization. Hence this paper highlights the challenges of cloud data centers, resource allocation and its techniques. This paper showcases the relation between the resource allocation and energy utilization of data center. The aim is to study various approaches to overcome these challenges.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134128301","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}