2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献

{"title":"Computer Aided Education in Closed Forging Dies","authors":"H. Hussein, A. O. Shiba, S. Abdelwahab, Ibrahim Ahmed, V. Naranje","doi":"10.1109/ICCIKE51210.2021.9410784","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410784","url":null,"abstract":"Forged products are one of the most products which represent heavy industry in the countries. Forging die design is a kind of art used to produce accurate and net-shape products in this field. As its related only to heavy industries, it’s not available in many countries and many of students have not the background about this kind of die design. This paper discusses a proposed CAD software have 2 kind of applications. The first is industrial application as used to design a closed forging die for six products \"Shaft, Flange, Flange with neck, hook, connecting rod, and crank shaft\". The second application is to support education process, as the CAD system build in steps to show the students the steps of closed forging design process. The system build using Visual basic for application \"VBA\" add-in to SolidWorks Programming. The system supposed to be used in Faculty of engineering campus or similar and also to be used in Design department in Forging companies.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130199534","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":"Digital Twin for Additive Manufacturing: A Critical Tool for The Future","authors":"Atiq Ur Rehman, V. Naranje, S. Salunkhe, M. Sankaram","doi":"10.1109/ICCIKE51210.2021.9410721","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410721","url":null,"abstract":"With airplane turbines being a key contributor to such negative developments, there has been an increasing interest in research regarding the optimization of airplane turbines. This paper adopts an innovative approach that bridges the digital and physical through the application of digital twin technology to additive manufacturing in order to optimize product development.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126005941","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":"Harnessing Smart Integration: Blockchain-Enabled B2C Reverse Supply Chain","authors":"Leena Wanganoo, Biranchi Prasad Panda, R. Tripathi, Vinod Kumar Shukla","doi":"10.1109/ICCIKE51210.2021.9410677","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410677","url":null,"abstract":"B2C cross-border e-commerce witnessed an exponential growth across the MENA (Middle East & North Africa) region especially during the pandemic time. Though, cross-border e-commerce is high in this region, the customer hesitates to fill a cart from overseas company due to the fear of counterfeit/ fake products as well as hassle of returning the product. To the retailer the challenges is multiplied manifold. The trickiest barrier is complying with customs documentation for reversal, and collaboration with the intermediaries for reclamation. The return of goods faces challenges due to lack of collaborative and integrated technology linkage between the multiple partners participating in the operation. Additionally, the customer does not have a visibility and verification of the source from where the product is received. Blockchain technology is a game-changing technology to solve product traceability, identify fraudulent transactions, and provide digitized transaction details to improve customer experience. The paper aims to analyze the challenges in operational processing the return of goods for the B2C e-commerce transaction. Based on the literature review, pain points in cross-border e-returns were identified. To explore the operational bottlenecks, conducted focus group interview with a small cohort of 45 logistics managers from companies in UAE. A conceptual framework is proposed based on Blockchain technology that would enhance interoperability and digital document transactions, enabling product traceability and transparency. This research contributes to the theoretical and practical literature on cross-border e-commerce, reverse supply chain management, document reversal, re-export issues, and how Blockchain technology’s deployment will help the companies overcome the challenges and sustain in a fiercely competitive environment. The survey was conducted with a small sample size, future research can be conducted with a larger sample size and other countries to widen the knowledge of cross-border issues. The conceptual model needs further industrial validation from the practitioners before using it at a large scale to facilitate information collaboration and integration between the key entities in the B2C cross-border reverse supply chain operation.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117338072","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":"Android based Emotion Detection Using Convolutions Neural Networks","authors":"Rabia Qayyum, Vishwesh Akre, Talha Hafeez, Hasan Ali Khattak, Asif Nawaz, Sheeraz Ahmed, Pankaj Mohindru, Doulat Khan, Khalil ur Rahman","doi":"10.1109/ICCIKE51210.2021.9410768","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410768","url":null,"abstract":"With the advent of improved mobile processing capabilities we have seen many novel and useful applications. Among other usecases is the utilization of graphics capabilities of on-board computing capabilities. The study evaluates a new trend of functionality that has been considered in the emotion detection field. The proposed study uses Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) to conduct a comparison of which deep learning technique works best for emotion recognition. Both neural network are trained using FER2013 dataset of Kaggle with seven emotion classes. The trained models are evaluated where CNN attains the accuracy of 65% and RNN lack behind with the accuracy of 41%. The trained models are then applied using music player based on one’s facial expressions .The user gets the music according to the mood in two forms. Thus with the application user is provided with new and interactive way of getting the music that provides new and latest music and gets an entertaining music app. The Final Product has great scope as the end product can be modified and expanded where music recommendation can be exchanged with other recommendation systems like news, content etc. according to the emotion fetched.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"115 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120885139","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":"The Investigation of Drift and Drift Removal in Markerless Motion Capture Suit in Preparation for Cultural (Aeta) Dance Classification","authors":"Jennalyn N. Mindoro, E. Festijo, M. T. D. de Guzman","doi":"10.1109/ICCIKE51210.2021.9410793","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410793","url":null,"abstract":"Motion capture is widely used today to capture and analyze human motion. The advent of motion capture systems has given rise to new possibilities in in many applications motion detection and monitoring, including digitization of performing arts activities such as dance. One of the best ways to capture motion is using SmartSuit Pro, a markerless motion capture system. SmartSuit Pro is a wearable suit embedded with inertia sensors in capturing motion. Inertial sensors are considered source less, however, due to a magnetic field’s pervasive presence on earth, this effect makes the magnetic source available almost anywhere. Therefore, this results in the addition of the drift effect to the output model. Drift is one of the main problems found in the horizontal plane of the output motion capture data. Drift is the small error occurring throughout the calculation of angular velocity and acceleration. In the performed Aeta dance recording, drift was encountered because there was an instance that the actor’s foot was not touched the ground where it was supposed to get in contact with it. The drift should be clean as this is an essential step to have an exceptional output of frames in preparation for dance classification. With the use of locomotion and other data filters, identifying and removing data was made possible. The data cleaning was completed and produced a output with no drift.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115159791","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":"Teaching and Learning based 5G cognitive radio application for future application","authors":"V. Subba Ramaiah, Bhopendra Singh, A. Ratna Raju, G. Nagi Reddy, K. Saikumar, Dulini Ratnayake","doi":"10.1109/ICCIKE51210.2021.9410797","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410797","url":null,"abstract":"Wireless Communication Network (WSN) applications are growing drastically daily, and their extensive nature attracts researchers and development authorities. The critical issues in wireless communication have been answering by advancements in cognitive radio (CR) techniques. The dynamic spectrum analysis allows cognitive radio at the receiver section to increase the spectrum efficiency and power consumption. The next-generation wireless networks, namely 5G technologies, accept advanced cognitive radios in their functionality. In this work, teaching and Learning based optimization are proposed for future communications purpose. The main aim of the study is to increase the spectral efficiency as well as energy consumption. The earlier methods can only targeting transmission rate and network complexity. The proposed adaptive teaching and learning based WCN can improve 78% energy efficiency and 47% data rate.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124624899","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 Technique Approach to Resolve Food Sustainability Problems","authors":"Farrukh Arslan, Bhopendra Singh, D.K Sharma, R. Regin, R. Steffi, S. Suman Rajest","doi":"10.1109/ICCIKE51210.2021.9410735","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410735","url":null,"abstract":"the authors suggest possible arrangements between different supermarket chains in this study, using a strategic methodology and game theory to develop a modern, with generations to come, effectively diets. The authors will specifically acknowledge service providers and sellers of vegetarian (vegetarian) but semi (or non-vegetarian) foods. The strategic approach being used by authors offers a model of mathematical game theory that could help vegan food manufacturers get easier entrants and free substantial ads. Besides that, the template could allow non-vegetarian food producers to turn to vegan and vegetarian production seamlessly. In particular, the authors suggest an arrangement between McDonald’s and Muscle of Wheat since they assume that without the aid of a major food supplier already on the market, Wheat’s strength will not reach a global market. The game theory model describes an irregular R&D partnership between McDonald’s and strength of Wheat. Demand for food items that are organic, nutritious, and environmentally friendly has been growing. In response, producers' market natural or other quality-differentiated foods, often claiming to have implemented good habits focused on environmental welfare. These goods have unfalsifiable consistency characteristics, as well. Because the seller may deceive the buyer with a baseless assertion, the manufacturer who maximizes profit can earn a better price with lower production costs. The research addressed in this paper indicates that the availability of high-quality certificates requires regular agreements and third-party oversight. Policy implications of this research are recorded for national organic food criteria.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126402663","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":"Smart Hospital: Automation of Business Processes in medical centers","authors":"B. Omarov, Rustam Abdrakhmanov, Tursynay Koishiyeva, Azimkhan Bayaly, Kanat Amirtayev, Gulnar Madaliyeva, Nursaule Torebay","doi":"10.1109/iccike51210.2021.9410672","DOIUrl":"https://doi.org/10.1109/iccike51210.2021.9410672","url":null,"abstract":"\"Automation business processes in hospitals\" is the subject of this article. Healthcare organizations now strive to deliver patient treatments that are reliable, cost-effective, and of high quality. To do so, the first step is to simplify existing procedures. Healthcare is expected to be one of the main growth fields for automation process systems in hospitals. We look at how the system could be used to build a smart hospital in this study.Indeed, the framework was used in conjunction with a variety of technology and methodologies, resulting in a project with a high level of productivity and versatility. The method aids in the optimization of healthcare business operations as well as patient safety.The core results and recommendations for optimizing the performance of the system's operation and automation are presented in the conclusion.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133959343","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":"Predicting the Likelihood of Survival of Titanic’s Passengers by Machine Learning","authors":"Anasuya Dasgupta, V. P. Mishra, Sanjiv Jha, Bhopendra Singh, V. Shukla","doi":"10.1109/ICCIKE51210.2021.9410757","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410757","url":null,"abstract":"The sinking of RMS Titanic is presumably one of the most infamous and disastrous shipwrecks in history. During her maiden voyage and early morning hours of April 15, 1912, the Titanic regrettably sank after colliding with an iceberg, killing an approximate of 1502 passengers and crew out of 2224 making it one of many of the deadliest commercial maritime in history till date. The entire international community was deeply shocked and saddened after hearing the news of this sensational disaster which resulted in improved ship safety legislation. Her architect, Thomas Andrews died in the disaster. An eye-opening observation that came forth from the sinking of Titanic is the fact that some individuals had a better chance at surviving than the others. Kids and women had been given foremost priority. Social classes were heavily stratified in the early twentieth century, this was especially implemented on the Titanic Firstly, the aim is use and apply exploratory data analytics (EDA) to uncover previously unknown or hidden facts in the data set available. Then the task is to later anoint various machine learning models to conclude the study of which types of individuals are more likely to live. The outcomes of application of the different machine learning models were then set side by side and analyzed based upon precision.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132087172","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":"Deep Learning Neural Networks for Music Information Retrieval","authors":"Manya Singh, S. Jha, Bhopendra Singh, Banafsha Rajput","doi":"10.1109/ICCIKE51210.2021.9410732","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410732","url":null,"abstract":"Music Information Retrieval is a vast area of study and research that deals with understanding the different features of soundtracks and being able to classify, group and modify them based on it. It has multiple sub fields like Music Classification, Generation, Recommendation, Processing, Recognition etc. In this project, I focused only on Music Classification. This paper’s main objective is to compare two different neural network architectures used in examining the genre of music. It employs the use of different parameters and types of optimization algorithms which helps us analyze which will help achieve higher accuracy.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133566296","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}