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Characteristics of hard concrete such as compressive strength are significantly affected by freshly prepared concrete properties. The properties of fresh concrete affect the future performance of structures. Compressive strength is found to be major parameter indicating condition of any concrete structures. In this work affect of basic properties such ratio of cement to aggregate; water to cement ratio, workability and density of fresh concrete on the compressive strength is evaluated and a regression model is developed.

Metallized cold-spray coatings were employed to make B4C/AA7075 and aluminum + plasma electrolytic oxidation (PEO) duplex coatings on AZ64. In addition, the phase structure, mechanical characteristics, wear, and PEO ceramic coatings examine the corrosion resistance. According to the findings, the PEO ceramic coating comprises α-aluminum oxide and γ-aluminum oxide, with some remnants of B4C still being preserved. PEO ceramic coatings outperformed their corresponding CS counterparts regarding mechanical characteristics and wear resistance. For example, the PEO-B4C coating achieved a hardness of 13.8 GPa and an elastic modulus of 185.5 GPa, which were 21.0% and 23.5%, respectively, more significant than the comparable values for the coating with CS. The PEO-B4C coating was 58% and 15.7% less abrasive than the equivalent CS coating due to its lower wear rate of 4.84 × 10−5 mm3/Nm and relatively lower of 0.64. The density of corrosion current in the PEO-treated B4C-AA7075 coating (3.735 × 106 A/cm2) is similar to the corrosion current density in the untreated CS coatings. Finally, compared to untreated CS B4C-AA7075, the coating’s mechanical characteristics and wear resistance are considerably enhanced by the PEO treatment.

An AA-7475 is coated with superhydrophobic (SH) polymer nanocomposites (PNCs), emphasizing the coating’s manufacturing, characterization, and anticorrosive qualities. Coating AA-7475 alloy with polyvinyl chloride (PVC), copper stearate (CS), and zirconium oxide (ZrO2) nanoparticles produces the desired superhydrophobic. Using an X-ray diffractometer, field-emission scanning electron microscopy, Fourier-transform infrared spectrometer, ZrO2 nanoparticles, CS, and PVC PNCs are analyzed structurally and molecularly. The atomic force microscope picture was analyzed to determine how the surface roughness affected the SH behavior reached by changing the weight percentage of ZrO2 nanoparticles from 0.6 to 3.0 wt%. PNC-5 with 3.0 wt% ZrO2 nanoparticles is used as resistance to corrosion coating for AA-7475 due to its water contact angle of 154°. In a 3.5% NaCl solution, uncoated and PNC-5-coated AA-7475 are examined using potentiodynamic polarization and electrochemical spectroscopy. PNC-5 coating reduces AA-7475 corrosion rate from 23.75 to 0.2253 mpy. In this study, we use polarization resistance, corrosion resistance efficiency, double layer capacitance, corrosion current density, and charge transfer resistance to demonstrate that the SH surface air trapping phenomena are responsible for effective corrosion resistance.

International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 2, February 2020, pp. 585-595, Article ID: IJARET_11_02_057 Available online at https://iaeme.com/Home/issue/IJARET?Volume=11&Issue=2 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 IDENTIFY THE APPLICATIONS OF ULTRASONIC WELDING JOINTS IN THIN SHEETS Rohit Pandey Department of Mech. Engg, Graphic Era Hill University, Dehradun, Uttarakhand, India 248002 Cite this Article: Rohit Pandey, Identify the applications of ultrasonic welding joints in thin sheets, International Journal of Advanced Research in Engineering and Technology, 11(2), 2020, pp. 585-595. DOI: https://doi.org/10.17605/OSF.IO/F6NJR

International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 1, January 2020, pp. 395-404, Article ID: IJARET_11_01_042 Available online at https://iaeme.com/Home/issue/IJARET?Volume=11&Issue=1 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 APPLICATIONS OF OPERATIONS RESEARCH IN MECHANICAL ENGINEERING Rohit Pandey Department of Mech. Engg., Graphic Era Hill University, Dehradun, Uttarakhand, India- 248002 Cite this Article: Rohit Pandey, Applications of operations research in mechanical engineering, International Journal of Advanced Research in Engineering and Technology, 11(1), 2020, pp. 395-404. DOI: https://doi.org/10.17605/OSF.IO/F8U5V https://iaeme.com/MasterAdmin/Journal_uploads/IJARET/VOLUME_11_ISSUE_1/IJARET_11_01_042.pdf

International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 1, January 2020, pp. 452-460, Article ID: IJARET_11_01_048 Available online at https://iaeme.com/Home/issue/IJARET?Volume=11&Issue=1 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 LIFE CYCLE COST ANALYSIS OF AN ACTIVE SOLAR DISTILLER USING NANOFLUID Rohit Pandey Department of Mech. Engg., Graphic Era Hill University, Dehradun, Uttarakhand, India 248002 Cite this Article: Rohit Pandey, Life cycle cost analysis of an active solar distiller using nanofluid, International Journal of Advanced Research in Engineering and Technology (IJARET), 11(1), 2020, pp. 452-460. DOI: https://doi.org/10.17605/OSF.IO/ATFYK https://iaeme.com/MasterAdmin/Journal_uploads/IJARET/VOLUME_11_ISSUE_1/IJARET_11_01_048.pdf

International Journal of Civil Engineering and Technology (IJCIET) Volume 10, Issue 2, February 2019, pp. 2661-2679, Article ID: IJCIET_10_02_258 Available online at https://iaeme.com/Home/issue/IJCIET?Volume=10&Issue=2 ISSN Print: 0976-6308 and ISSN Online: 0976-6316 CONSISTENT INTEGRATION SCHEMES FOR ANALYSIS OF STRAIN GRADIENT ELASTICITY USING AI APPROACH Rohit Pandey Department of Mech. Engg., Graphic Era Hill University, Dehradun, Uttarakhand, India 248002 Cite this Article: Rohit Pandey, Consistent integration schemes for analysis of strain gradient elasticity using AI approach, International Journal of Civil Engineering and Technology, 10(2), 2019, pp. 2661-2679. DOI: https://doi.org/10.17605/OSF.IO/SXPM6

Every day we see many people, who are facing illness like deaf, dumb etc. There are not as many technologies which help them to interact with each other. They face difficulty in interacting with others. Sign language is used by deaf and hard hearing people to exchange information between their own community and with other people. Computer recognition of sign language deals from sign gesture acquisition and continues till text/speech generation. Sign gestures can be classified as static and dynamic. However static gesture recognition is simpler than dynamic gesture recognition but both recognition systems are important to the human community. The ASL American sign language recognition steps are described in this survey. There are not as many technologies which help them to interact with each other. They face difficulty in interacting with others. Image classification and machine learning can be used to help computers recognize sign language, which could then be interpreted by other people. Earlier we have Glove-based method in which the person has to wear a hardware glove, while the hand movements are getting captured. It seems a bit uncomfortable for practical use. Here we use visual based method. Convolutional neural networks and mobile ssd model have been employed in this paper to recognize sign language gestures. Preprocessing was performed on the images, which then served as the cleaned input. Tensor flow is used for training of images. A system will be developed which serves as a tool for sign language detection. Tensor flow is used for training of images. Keywords: ASL recognition system, convolutional neural network (CNNs), classification, real time, tensor flow

We propose a novel system for portrait relighting and background replacement, which maintains high-frequency boundary details and accurately synthesizes the subject's appearance as lit by novel illumination, thereby producing realistic composite images for any desired scene. Our technique includes foreground estimation via alpha matting, relighting, and compositing. We demonstrate that each of these stages can be tackled in a sequential pipeline without the use of priors (e.g. known background or known illumination) and with no specialized acquisition techniques, using only a single RGB portrait image and a novel, target HDR lighting environment as inputs. We train our model using relit portraits of subjects captured in a light stage computational illumination system, which records multiple lighting conditions, high quality geometry, and accurate alpha mattes. To perform realistic relighting for compositing, we introduce a novel per-pixel lighting representation in a deep learning framework, which explicitly models the diffuse and the specular components of appearance, producing relit portraits with convincingly rendered non-Lambertian effects like specular highlights. Multiple experiments and comparisons show the effectiveness of the proposed approach when applied to in-the-wild images.

Background: Generally, it is observed that there is not a single algorithm that classifies the task using Quality of Service (QoS) parameters requested by the task but instead focuses on classifying resources and balancing the task's using the availability of resources. In past literature, authors divided the load balancing solutions in three main parts workload estimation, decision making, task transferring. Workload estimation deals with identifying requirements for the incoming tasks on the system. Decision making is done to analyze that whether or not load balancing should be performed for the given node. If the decision for load balancing has been made then third step deals with transferring task to appropriate node to reach a saturation point where the system will be in the stable state. Objective: To address this issue, our approach is more focused upon on workload estimation and its main objective is to cluster the incoming heterogeneous task into generic groups. Another issue for this approach is that the client demand varies for the number of tasks. Thus, some attributes may be much more critical to a user then the others and this demand changes from user to user. Methods: This paper classify the tasks using QoS parameters and focused on work-load estimation. The main objective is to cluster the incoming heterogeneous task into generic groups. For this, KMedoid based clustering approach for cloud computing is devised and implemented. This approach is then compared with its different iterations to analyses the workload execution more deeply. Results: The analysis of our approach is computed using cloudsim simulator. Results and computations shows that the data is very uneven in initial times, as some clusters have only four elements and others are having much more elements. Whereas after the 20th iteration data observed is more normally balanced, so the clusters formed after 20th iteration were more stable than clusters formed initially i.e. 1st iteration. The number of iterations is also minimized to do unnecessary clustering as after a few steps the changes in medoids are very less. Conclusion: A brief survey of various load balancing techniques in cloud computing is discussed. These approaches are meta-heuristic in nature and have complex behavior and can be implemented in cloud computing. In our paper, K-Medoid based clustering approach for identifying the task into similar groups has also been implemented. Implementation is done on cloudsim simulation package provided by Cloud Labs, which is a java based open source package. The results obtained in our approach are limited to classification of tasks into various clusters. It would also useful where new task arrives and simply assign it to a VM that was created for some other element of that class. In future, this work can be expanded to create an effective clustering based model for load balancing.

The economical and technological evolution has brought the situation where our attention is being targeted. Lots of creative professionals have been employed by commercial agencies to grab attention such as in a marketing space. On the other hand, there is a societal need to use the attentional resources for development of human values towards harmonious coexistence. Designers therefore have this twin responsibility to use creative processes to design such that it grabs attention towards one or the other direction. Today brain research is advancing at a rapid pace and it has a potential to provide insights into the value based decision processes within users as well as within designers. This paper reports neurophysiological study on value based decision in children during a game play. A visual story based interactive game was designed to elicit value-based decisions from children. Eighteen children (age group of 5 to 9 years) participated in the pilot study. The neurophysiological data was derived using an electroencephalography (EEG) device during the story-interaction. This paper reports findings on how the proposed design in this study can be implemented for eliciting specific values, and therefore be applicable in acting as a value-based education system for younger populations.

Current research into the development of additive layer costs shows that this technology is economical in producing small batches with ongoing centralized manufacture; however improved automation may contribute to cost efficiency in distributed manufacturing. Due to the difficulty of which additive production costs are calculated, the reach of the current studies is small. Many of today's studies analyze single-part development. Many that look at assemblies prefer not to look at the impact of the supply chain, such as inventory and shipping prices and lower probability of interruption. Analysis currently also shows that the expense of content is a significant part of the cost of a commodity made using additive layer. Technologies may, therefore, also be compatible, with two technologies being implemented side by side and advantages larger than if independently adopted. Growing usage of additive processing may contribute to a decrease in raw material costs through saving in scale. This could result in further implementation of additive layer processing through the decreased cost of the raw material. The expense of raw materials will often save on a scale if specific materials are more popular than a host of other materials. The production method for additive layers is still a significant cost driver, but this cost has decreased continuously. The average price dropped 51% between 2001 and 2011 after inflation changes

In previous years, the usage of additive layer processing grew considerably. Different companies, including motor cars, aerospace, equipment, communications and medical devices utilize additional layer production. However, at present, processed additive layer products comprise less than one percent of all items manufactured. If the prices of additive layer processing systems decline, the manner in which customers communicate with suppliers will be modified. Additional development layer innovations provide the market and culture with different possibilities. It will make the personalized development of strong lightweight goods simpler, and prototypes that with past manufacturing techniques were not feasible. However, the application of this device may be hampered and delayed by numerous obstacles. Many situations require higher costs than conventional approaches for making a component utilizing additive layer production techniques. This study reviews the cost literature for the development of additive layer and attempts to recognize situations in which additive production may be cost-effective and also to identify new methods of minimizing costs in the usage of this technology

Background and Aim: Reconstruction of interdental papillae (IDP) is among the most difficult periodontal therapy. Papillary recession is multifactorial, and several surgical, nonsurgical, and minimally invasive techniques have been suggested. The purpose of this study was to evaluate the clinical application of injectable hyaluronic acid (HA) gel for the reconstruction of IDP in Nordland and Tarnow's Class I and II papillary recession cases. Materials and Methods: In the present in vivo clinical trial, 7 patients (2 males, 5 females) with 25 defects were selected. A volume of 0.2 ml HA gel was injected at the respective areas and massaged for 2–3 min. Photographs were obtained, and the assessment of the data was performed clinically (CP-GM, interproximal width [IPW]) and by Image analysis software (black triangle height [BTH], black triangle width [BTW]). Comparison of mean values was performed using the analysis of variance, followed by Post hoc Bonferroni test. Value of P ≤ 0.05 was considered statistically significant. Results: Application of HA gel for the reconstruction of IDP was successful in 6 months. CP-GM, BTH, IPW, and BTW showed a statistically significant difference from baseline to 3 and 6 months interval (P = 0.01). Post hoc Bonferroni test for CP-GM, BTH, BTW, and IPW revealed a statistically significant difference from baseline to 3 months (P ≤ 0.05) and 6 months (P ≤ 0.05) and a nonsignificant difference at 3–6 months (P ≥ 0.05). Conclusion: Injectable HA gel is a promising minimally invasive therapy for enhancing papillary esthetics.