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

{"title":"Power-Efficient Wireless Sensor System for Structural Health Monitoring","authors":"Cheonghwan Hwang, Jaehyun Park","doi":"10.1109/ICCMSO58359.2022.00062","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00062","url":null,"abstract":"Diagnosis of structures that require high stability is an important engineering issue to manage structures safely such as bridges, factories dealing with ultra-precision machinery, and nuclear power plants. This paper presents a service model for structure health monitoring (SHM) based on power-efficient sensors and shows real implementation case. The proposed system is composed of a low-power sensor node that collects meaningful diagnosis signals such as vibration, displacement, strain rate, and temperature in real time and server software that performs comprehensive safety diagnosis by analyzing the data received from them. The overall architecture of the proposed system was implemented in compliance with the oneM2M standard, a widely used industry standard for the Internet of Things (IoT), and real-time performance and accuracy were verified through experiments.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"42 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":"125670085","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":"Analysis of a Semi-Active Vibration Absorber based on Magnetorheological Materials for a half-car model","authors":"Jitender Kumar, G. Bhushan","doi":"10.1109/ICCMSO58359.2022.00076","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00076","url":null,"abstract":"The purpose of this research is to analyze the performance of a semi-active vibration absorber (SVA) based on magnetorheological (MR) materials for a half-car model. A mathematical model of the SVA is developed and the dynamic characteristics of the system are investigated. MR dampers and MR Elastomers are combined in the SVA in order to achieve semi-active control. The MR material properties are modulated by the imposed magnetic field, allowing the variable damping and stiffness. An optimal control strategy is developed and optimal damping parameters are identified by using an iterative optimization algorithm. Finally, the effectiveness of the SVA is evaluated by analyzing its dynamic response under different road excitations. The results show that the SVA based on MR dampers can effectively reduce the vibration of the half-car model and produces better results than the passive vibration absorber.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"1 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":"130321053","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":"Optimization of Hardness and Tensile Strength of Stir Cast Hybrid Aluminum Metal Matrix Composite Using Grey Relational Analysis","authors":"S. S, Angra S, Kumar D","doi":"10.1109/ICCMSO58359.2022.00037","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00037","url":null,"abstract":"Hybrid aluminum metal matrix composites (AMMCs) possess properties such as lightweight, high performance, high wear, and corrosion resistance. This research paper represents the process to achieve maximum hardness and tensile strength of hybrid AMMCs with the optimization of process characteristics using grey relational analysis (GRA). Hybrid AMMCs of Al-6061 alloy reinforced with graphene (Gr) and silicon carbide (Sic) were fabricated using the stir-casting process. Taguchi's L27 design was selected for the experiment and GRA was used with three process parameters (Stirring speed, graphene wt %, and silicon carbide wt %) to obtain the optimal set of these parameters for the highest hardness and tensile strength. The optimum values of hardness and tensile strength have been observed as 105.098 VHN and 118.072 MPa, respectively. The optimal combination was achieved at 400 stirring speed, 6 wt. % of graphene, and 4 wt. % of silicon carbide as reinforcement in Al-6061 alloy.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"38 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":"134073206","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 Analysis of Rice Bran Oil Biodiesel Blends-Based CI ENGINE using DOE Approach","authors":"S. Dhingra, Rahul Raghav, Kovács András, Rohit Khargotra","doi":"10.1109/ICCMSO58359.2022.00039","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00039","url":null,"abstract":"Rice wheat is a symptom of rice dealing with connection and contains 10-25% oil subject to rice quality, mechanical framework, and other Agro-climatic parts. To foster the obscuring oil subordinate stores and to lessen ordinary tainting, there is a need to research rice grain oil for use as a bio-diesel. Rice grain is an oleaginous Agro-modern build-up that has been of interest as a feedstock for biodiesel creation. The current research work based on the effect of biodiesel rice bran oil on the torque, “brake power,” “mechanical efficiency,” “break specific fuel consumption,” CO, CO2 • HC and NO, and to determine the ideal value of these variables by using RSM. First, the experimental design is prepared using Design Expert 6.0.8. To estimate the performance properties analysis of compression ignition engine fuelled with distinct blends of waste cooking oil (sunflower)biodiesel. Optimization of parameters is done by using the RSM desirability approach. The outcomes show that the optimum conditions were obtained using the desirability approach with engine load torque 11.97 Nm and fuel blends of 2.93% by volume which gives the 2.03697% BP, 36.775% ME and 464.591 g/Kwh BSFC. After the validation of optimum results, predicted and actual values were compared to find the errors, which is found to be 5.67% in BSFC, 6.72% in ME,5.46% in BP, 4.86% in CO, 4.72% HC, 8.01% CO2 and 6.14% NOx.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"18 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":"132840731","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 Secure Authentication mechanism for accessing IoT devices through Mobile App","authors":"Bhupinder Singh, R. Lal, Sanjay Singla","doi":"10.1109/ICCMSO58359.2022.00061","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00061","url":null,"abstract":"In this century IoT devices play a major role in connecting all things to the internet so that users can easily access and operate it remotely. The main advantage of using IoT devices is to save time, remotely access resources any time from anywhere & everything connected with the internet. Over the period various challenges occurred in the IoT domain and mostly are related to security & privacy. In security authentication, confidentiality & Integrity play a significant role in order to provide a strong security mechanism. Currently IoT protocols also provide different levels of security which are somehow related to authentication and authorization, but over time it becomes important that level of protection against different attacks i.e. masquerade attacks, man in the middle, replay attacks, password guessing lmpounder attacks, DoS attacks etc., required more protection at different layers. In this paper to analyze security and make a smart solution, we have taken a temperature sensor (DHT22) with NodeMCU to propagate data through the IoT protocol and received it at Mobile end. This paper evaluates how data passes securely from IoT devices to Mobile and highlights what challenges we solved during developing the prototype. We are also focusing on the level of security while transmitting data from IoT devices to Cloud and Cloud to Mobile directly and developing a prototype which can work perfectly and propagates data smoothly to Cloud.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"18 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":"114662148","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":"Recent advancements on Photovoltaic thermal and Greenhouse Dryer","authors":"Ravin Sehrawat, R. Sahdev, S. Tiwari, Pinki Sehrawat, Arun C. S. Kumar","doi":"10.1109/ICCMSO58359.2022.00078","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00078","url":null,"abstract":"The Homosapien's growth increases energy needs for their existence, yet the energy supplies from all major sources are restricted. Renewable energy sources such as solar energy, geothermal energy, and wind energy are viable options for fulfilling future demand without creating any harm to the environment. Photovoltaic thermal and greenhouse dryer systems allow us to utilize solar energy in a desirable form, such as heat and power. It is observed that the cell temperature and low operation hours are the primary concern for the PVT and greenhouse dryer respectively. Various innovations are identified from the literature to enhance the performance of these systems. Phase change material and a secondary heating system were integrated with the greenhouse dryer that helps to improve its operations hours even after sunset along with improvement in thermal efficiency. In the same manner, various combinations like integration of PCM, nano-particle, and packing factor were designed to the cell temperature and improve its thermal and electrical performance.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"40 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":"132262072","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":"Keyphrases extraction: Approach Based on Document Paragraph Weights","authors":"Lahbib Ajallouda, A. Zellou, Imane Ettahiri, Karim Doumi","doi":"10.1109/ICCMSO58359.2022.00051","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00051","url":null,"abstract":"In recent years, the exploitation of sentence embedding techniques in natural language processing field has encouraged the proposal of new methods for extracting keyphrases from documents based on these techniques. Most of these approaches select keyphrases from a set of candidate phrases based on their semantic proximity to the document. In general, most documents contain complementary paragraphs that are unrelated to the topics covered. This factor reduces the credibility of the semantic proximity of candidate keyphrases to the document. Exploitation of document paragraphs weights during the semantic similarity calculation will inevitably improve the performance of keyphrase extraction from document. In this paper, we propose a new method to extract keyphrases based on document paragraphs weights. Our method is based on sentence embedding techniques and semantic proximity of candidate key phrases from document paragraphs. We evaluated the proposed method on three datasets, Inspec, Semeval2010 and KPTimes, where our results showed that that using document paragraph weight improved the performance of keyphrases extraction.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"22 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":"133369182","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":"State of the Art, Recent Developments, and Future Directions in Applying Deep Learning to Part of Speech Tagging in NLP","authors":"Royal Kaushal, Raman Chadha","doi":"10.1109/ICCMSO58359.2022.00021","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00021","url":null,"abstract":"Rapid information and communicationtechnology advancements have prompted widespread interest in natural language processing (NLP) applications. This has led to the development of a plethora of NLP resources. However, several obstacles stand in the way of creating reliable NLP systems that can process natural languages effectively and efficiently. Part of speech (POS) tagging is one such technology;it assigns labels to sentences or phrases inside a paragraph based on where they appear. Researchers have made great strides in POS tagging, but there is always room for improvement, especially in decreasing false positives and correctly categorizing new words. It's also important to remember that there is sure to be some confusion if you tag phrases with manypossible interpretations depending on the surrounding material. In order to effectively identify words in a particular phrase across a paragraph, POS taggers based on “deep learning (DL) and machine learning (ML)” have recently been deployed as viable solutions.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"56 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":"130563950","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":"3D Printable NiTi Alloys for Biomedical Applications: A State of Art","authors":"Deepak Chhabra, Upender Punia, Sumit Gahletia, R. Garg, Ravin Sehrawat, Pinki Sehrawat, Ashwani Dhingra, Ashish Kaushik","doi":"10.1109/ICCMSO58359.2022.00066","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00066","url":null,"abstract":"Ni-Ti-based alloys are utilized as novel materials in numerous applications owing to their favorable biocompatibility, low corrosion performance, and thermos elastic characteristics. Additive manufacturing practices can produce intricate and fine geometrical structures, extending the scope of Ni-Ti alloys. This paper unifies the mechanical and functional characteristics of additively manufactured NiTi-alloys. Biomedical applications of shape memory alloys, including NiTi shape memory alloys, are also analysed. The review also highlights the current and future trends Ni-Ti alloys for biomedical applications. The primary objective of this technical review is to open new frontiers for modern and progressive designs.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"24 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":"121694969","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":"Role of Adolescents on Family Buying Behavior in Haryana","authors":"K. Budhiraja, Meenu Gupta","doi":"10.1109/ICCMSO58359.2022.00086","DOIUrl":"https://doi.org/10.1109/ICCMSO58359.2022.00086","url":null,"abstract":"Given the importance of adolescents' behavior in family purchasing decisions, the study's initial goal was to discover how adolescents affected the family's purchasing choices. The study's three main goals are broken out as follows: First, investigate the connection between adolescent age and how family purchasing decisions are impacted. The next goal is to classify and position the goods based on the impact of teenagers. The following aim is to assess and establish a comprehensive evaluation of adolescents' influences on three distinct good categories (as intended), as well as to analyze it at different points in the family purchasing process. The study of pertinent prior review work and an interview with teenagers for the purpose of data collection form the foundation of the research technique. Teenagers between the ages of 14 and 19 are also given a structured questionnaire. Data from 360 teenagers was gathered. The study also showed the three categories of goods-“Distinguished” goods, “Famous” goods, and “Common” goods-had been specifically determined by factor analysis. It was shown that Popular Goods attracted the most interest from teenagers, trailed by Distinguished Goods, while Common Goods attracted the limited attention from teenagers. These product categories were created with Indian families and environments in mind. For the third aim, multivariate analysis of variance (MANDVA) and mean scores were also used, and the results showed that adolescents had the largest influence on the early stages of the purchasing process and the least influence on the later stages. However, when it comes to common goods, adolescents' effect is greatest during the choice and selecting stages. This study has significant potential for future application for marketers since it gives them a broad view of teenagers' familial behavioral awareness in relation to various goods categories and family purchase stages. This may serve as the foundation for carrying out marketing strategies. In terms of analyzing adolescents' behavior with respect to numerous product catalogues and connecting the categorization throughout different family buying stages, the article stands out for its originality.","PeriodicalId":209727,"journal":{"name":"2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)","volume":"1 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":"130245650","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}