Mcdm WASPA in a Neutrosophic Environment Applied to Optimization of the Parameters forMinimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin Walled Parts.

HiovanisCastilloPantoja

Journal of Intelligent Systems and Internet of Things | 2021

An Improved Metaheuristic based Node Localization Technique for Wireless Sensor Networks

Cloud computing (CC) becomes a familiar topic in offering unlimited access to services as well as resources via the Internet. A comprehensive CC management system is needed to collect details of the task processing and ensure proper resource allocation with the accomplishment of Quality of Service (QoS). At the same time, virtual machine (VM) migration is a crucial problem in the CC platform which contributes to energy utilization and resource usage. Therefore, this paper presents a new energy-aware elephant herd optimization-based VM migration (EAEHO-VMM) scheme. The EAEHO-VMM algorithm aims to migrate the VMs and prediction failure VMs. At the initial stage, the EHO algorithm is executed to minimize the energy utilization of the VM migration process in the CC environment. In addition, a support vector machine (SVM) model is applied to identify the failure VMs and allows relocation in an effective way. In order to make sure the better performance of the EAEHO-VMM algorithm, a series of simulations take place, and the results are investigated in terms of different aspects. The experimental outcomes ensured the enhanced VM migration performance of the EAEHO-VMM algorithm over the other techniques.

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Mohamed Elsharkawy mail -

I.S. Farahat mail

link https://doi.org/10.54216/JISIoT.050204

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2021

Neutrosophic Multigroup Homomorphism and Some of its Properties

In a way, the notion of neutrosophic multigroup is an application of neutrosophic multisets to the theory of group. The concept of neutrosophic multigroup is an algebraic structure of neutrosophic multiset that generalizes both the theories of classical group and neutrosophic group. Neutrosophic multigroup constitutes an application of neutrosophic multiset to the elementary theory of classical group. In this paper, we propose the concept of homomorphism on neutrosophic multigroup. We define homomorphism kerlf, automorphism, homomorphic image and homomorphic preimage of neutrosophic multigroup, respectively. Some homomorphic properties of neutrosophic multigroup are explicated. Some homomorphic properties of neutrosophic multigroup are also discussed. This new concept of homomorphism as a bridge among set theory, fuzzy set theory, neutrosophic multiset theory and group theory and also shows the effect of neutrosophic multisets on a group structure. We finally derive the basic properties of neutrosophic multigroup homomorphism and give its applications to group theory

groups

Memet Sahin mail

link https://doi.org/10.54216/IJNS.170203

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Apparel Recommendation Engine Using Inverse Document Frequency and Weighted Average Word2vec

The rapid development of e-commerce shopping marketplaces necessitates the use of recommendation engines and quick, precise, and efficient algorithms in order for the company's business models to generate a massive amount of profit. A computer vision software programme enables a computer to learn a great deal from digital images or movies. Machine learning methods are used in computer vision, and several machine learning techniques have been developed specifically for this purpose. Information retrieval is the process of extracting useful information from a dataset, and computer vision is the most commonly used tool for this purpose nowadays. This project consists of a series of modules that run sequentially to retrieve information from a marked area on a receipt. A receipt image is used as an input for the model, and the model first uses various image processing algorithms to clean the data, after which the pre-processed data is applied to machine learning algorithms to produce better results, and the result is a string of numerical digits including the decimal point. The program's accuracy is primarily determined by the image quality or pixel density, and it is necessary to ensure that an input receipt is not damaged and content is not blurred.

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Parvesh K. mail -

Tharun C. mail -

Prakash M. mail

link https://doi.org/10.54216/JCHCI.010201

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Collaborating the Textual Reviews of the Merchandise and Foretelling the Rating Supported Social Sentiment

Lately, we have seen a twist of audit sites. It presents a decent opportunity to share our experience for a considerable length of time we have bought. Be that as it may, we tend to confront the information over-burdening issue. A method for mining significant information from surveys to know a client's inclinations and produce precise proposal is fundamental. Since quite a while ago settled recommender Systems (RS) considers a few variables, similar to client's buy records, item class, and geographic area. During this work, we have proposed sentiment-based rating prediction technique (RPS) to help up the expectation precision in recommender Systems. First and foremost, we examine the social user sentimental measuring approach and calculate every user’s sentiment on things/items. Furthermore, we don't exclusively consider a client's own wistful properties anyway moreover take interpersonal social sentimental influence into study. Then, at that point, we propose to consider item name, which might be deduced by the sentimental distributions of a user set that reflect clients' comprehensive analysis. Finally, we tend to intertwine 3 factors-user sentiment similarity, interpersonal social sentimental distributions of a client opinion likeness, interpersonal social sentimental influence, associate the thing's reputation relationship into our recommender system to make a talented rating prediction. Then, at that point, we arranged a presentation analysis of the 3 sentimental factors on a genuine world dataset gathered from Yelp. Our exploratory outcomes show, the sentiment will well describe user preferences, which facilitate to hike the proposal execution.

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Vijay K. mail

link https://doi.org/10.54216/JCHCI.010203

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Intelligent Smart Dustbin System using Internet of Things (IoT) for Health Care

Facilities produce a great deal of possibly hazardous waste. Waste Separation Most of the s are at this point running on of the leeway pickers. At this point separates from , and holders 444 containing dangerous clinical facility waste and discarded release, needles, glucose dropper bottles, plastic paper and wraps are disengaged from hands, Cancer and Infectious Disease. This can incite lower rules, of survivors, lower future, and impact on the time of youths brought into the world to such affected watchmen. Modified waste separators have been proposed to automate the parcel of biomedical waste created in clinical centers. Exactly when metal waste (cautious sharp edges, needles, etc) is recognized, the highest point of the internal compartment turns in like way, holding people back from setting the misfortune in some unsatisfactory office. The trash canister cover is robotized, so when a singular stands near the trash receptacle, the top will open normally. From here on out, one can put in the waste. Separation of clinical waste is done normally to hinder the spread of disease in crisis facilities and reduce manual cycles.

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R. Venkatesan mail -

Althaaf Shaik mail -

Suraj Kumar mail -

Vipul Guria mail -

Abhishek Raj mail

link https://doi.org/10.54216/JCHCI.010204

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

An Implementation Of Statistical Feature Algorithms For The Detection Of Brain Tumor

A member of a population who is at risk of becoming infected by disease is a susceptible individual. Finding disease susceptibility and generating an alert in advance, is valuable for an individual. The aim of the work presented a feature vector using different statistical texture analyses of brain tumors from an MRI image. The statistical feature texture is computed using GLCM (Gray Level Co-occurrence Matrices) of brain tumor cell structure. For this paper, the brain tumor cell segmented using the strip method to implement hybrid Assured Convergence Particle Swarm Optimization (ACPSO) - Fuzzy C-means clustering (FCM). Furthermore, the four angles 0o, 45o, 90o, and 135o have calculated the segmented brain image in GLCM. The four angular directions are calculated using texture features are correlation, energy, contrast and homogeneity. The texture analysis is performed on different types of images using past years. So, the algorithm proposed statistical texture features are calculated for iterative image segmentation. The algorithm FETC (Feature Extraction Tumor Cell) extracts statistical features of GLCM. These results show that MRI images can be implemented in a system of brain cancer detection. 

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P. Kavitha mail -

R. Subha Shini mail -

R. Priya mail

link https://doi.org/10.54216/JCHCI.010202

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Survey on Smart Cane For Visually Impaired Using IOT

This fundamental point of this task to give a voice-based route framework for the outwardly tested voice acknowledgment module and it is planned to give in general estimates object discovery and constant help through Worldwide Situating Framework (GPS) and ultrasonic sensors. This venture focuses on the advancement of an Electronic Voyaging Help (Estimated time of arrival) unit to assist the visually impaired individuals with finding an impediment free way. This Estimated time of arrival is fixed to the stick of the outwardly tested. At the point when the item is distinguished close to the stick of the outwardly hindered it cautions them with the assistance of the vibratory circuit. The outwardly tested will give the objective's name as the contribution to the voice acknowledgment module. GPS module persistently gets the scope and longitude of the current area. GPS contrasts it and the objective's scope and longitude. The outwardly tested gets the articulated headings which he wants to follow to arrive at his objective.

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Sonia Jenifer Rayen mail

link https://doi.org/10.54216/JCHCI.010205

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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International Journal of Neutrosophic Science |

Mcdm WASPA in a Neutrosophic Environment Applied to Optimization of the Parameters for Minimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin Walled Parts

The following research shows a methodology that combines the multicriteria method WASPAS and Neutrosophic, which seeks to improve decision making within the planning processes in machine shops. With WASPAS the best alternative is selected and Neutrosophic offers us the advantage of driving the concept of uncertainties and neutralities, and with it the values of the input variables for high speed machining to manufacture the rectangular piece of aluminum alloy 5083. With the evaluation of the criteria, when applying the method it is obtained as objective that the alternative ten is the best, therefore, when implementing the input parameters: S = 15000 rpm, doc= 0.10 mm, ts= 3.0 mm, F= 3600 m/min, the surface quality and low deformation of the part is guaranteed. It is concluded that the WASPAS multicriteria analysis method with neutrosophy is an excellent tool, with a low cost and good reliability, as a solution to be applied in machining shops to improve decision making in process planning processes from the optimal selection of machining parameters

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International Journal of Neutrosophic Science | 2022

Blockchain in Healthcare from a Neutrosophic Analysis

According to experts, the blockchain is very suitable for supply chains, as it streamlines processes and reduces their complexity. Both the pharmaceutical and health sectors can take advantage of their potential since, having different intermediaries, processes can become inefficient on many occasions. Blockchain contributes to bringing order and automation. The pharmaceutical sector has been one of the ones that have obtained the most advantages from this technology. Getting a drug out of the box is a long and expensive process that can take a long time between studies and clinical trials and all the regulations. However, if it is possible to gather all the information needed to complete the process of bringing a new drug to light so that it is available immediately and with all the safety guarantees and improve its management, speed up the process. Therefore, blockchain is the most appropriate technology, although the ability to government bodies to recognize the network's benefits is hampered. This study is focused on determining the level of integration of Blockchain technology in the health sector, and the level of acceptance and contradiction in the adoption of the new technology in the community through the application of the neutrosophic Iadov method.

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Kenia Peñafiel Jaramillo mail -

Jhofree Prado Quilambaqui mail -

Jorge Marcelo Quintana Yanez mail

link https://doi.org/10.54216/IJNS.1803015

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science |

Mcdm WASPA in a Neutrosophic Environment Applied to Optimization of the Parameters forMinimization of Surface Roughness and Machining Deformation in Milling of Al Alloy Thin Walled Parts.

The following research shows a methodology that combines the multicriteria method WASPAS and Neutrosophic, which seeks to improve decision making within the planning processes in machine shops. With WASPAS the best alternative is selected and Neutrosophic offers us the advantage of driving the concept of uncertainties and neutralities, and with it the values of the input variables for high speed machining to manufacture the rectangular piece of aluminum alloy 5083. With the evaluation of the criteria, when applying the method it is obtained as objective that the alternative ten is the best, therefore, when implementing the input parameters: S = 15000 rpm, doc= 0.10 mm, ts= 3.0 mm, F= 3600 m/min, the surface quality and low deformation of the part is guaranteed. It is concluded that the WASPAS multicriteria analysis method with neutrosophy is an excellent tool, with a low cost and good reliability, as a solution to be applied in machining shops to improve decision making in process planning processes from the optimal selection of machining parameters.

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HiovanisCastilloPantoja mail

link

Volume & Issue

Details open_in_new