SOME TRIGONOMETRIC SIMILARITY MEASURES OF COMPLEX FUZZY SETS WITH APPLICATION

Similarity measures of fuzzy sets are applied to compare the closeness among fuzzy sets. These measures have numerous applications in pattern recognition, image processing, texture synthesis, medical diagnosis, etc. However, in many cases of pattern recognition, digital image processing, signal processing, and so forth, the similarity measures of the fuzzy sets are not appropriate due to the presence of dual information of an object, such as amplitude term and phase term. In these cases, similarity measures of complex fuzzy sets are the most suitable for measuring proximity between objects with two-dimensional information. In the present paper, we propose some trigonometric similarity measures of the complex fuzzy sets involving similarity measures based on the sine, tangent, cosine, and cotangent functions. Furthermore, in many situations in real life, the weight of an attribute plays an important role in making the right decisions using similarity measures. So in this paper, we also consider the weighted trigonometric similarity measures of the complex fuzzy sets, namely, the weighted similarity measures based on the sine, tangent, cosine, and cotangent functions. Some properties of the similarity measures and the weighted similarity measures are discussed. We also apply our proposed methods to the pattern recognition problem and compare them with existing methods to show the validity and effectiveness of our proposed methods

Recovery of heavy metals from spent etching waste solution of printed circuit board (PCB) manufacturing

The process of etching is the most crucial part of the work of manufacturing printed circuit boards (PCB). In the etching process by nitric acid, a spent etching waste solution of composition 250 g/L HNO3, 30-40 g/L Cu, 30-40 g/L Sn, 30-40 g/L Pb and 20-25 g/L Fe is produced. High metal concentrations in the spent etching waste solution make it a viable candidate for the recovery of metals. Recovery of metals from spent etching waste solution is a significant concern as the recent growth in production of printed circuit boards has generated a drastic increase of spent etching waste solution each year. This study concerns itself with the recovery of metals from spent etching waste. In this study a dilution was made in order to increase the pH of the solution as spent etching waste solution has high acidity, and the electrowinning method was performed to recover metals from the spent etching waste solution. Glassy carbon and platinum were used as cathode and anode in order to investigate the electrodeposition of metals and cyclic voltammetry investigation suggests that the deposition of metals on glassy carbon electrodes occurs at four different overpotentials mainly at -0.15 V, -0.35 V, -0.45 V and -0.75 V. Microscopy observation demonstrates that there is a deposition of metals by applying the potentials in a set of current-time transient study for a duration of 60 seconds and the metals recovered formed as aggregates

Factors that Affect the Academic Results: A Case Study of Islamic University, Kushtia, Bangladesh

The main objective of this study is to examine the existing situation of results of the graduate students at Islamic University in Kushtia Bangladesh as well as to identify the factors associated behind this issue An analysis has been performed by using the primary data which collected form the graduate students of Islamic University under simple random sampling technique Chi-square test for dependency checking has been performed as Bivariate analysis After performing Bivariate analysis Multinomial logistic regression analysis has been performed The result of the study has revealed that the factors like SSC and HSC results of the student Parental academic qualification Higher family income residential in hall student s class attendance study time without class period have a positive impact and the factors like students internet use for non-academic purpose political status mobile phone using for non academic purpose in the University have a negative impact of students academic result

Factors that Affect the Academic Results: A Case Study of Islamic University, Kushtia, Bangladesh

The main objective of this study is to examine the existing situation of results of the graduate students at Islamic University in Kushtia Bangladesh as well as to identify the factors associated behind this issue An analysis has been performed by using the primary data which collected form the graduate students of Islamic University under simple random sampling technique Chi-square test for dependency checking has been performed as Bivariate analysis After performing Bivariate analysis Multinomial logistic regression analysis has been performed The result of the study has revealed that the factors like SSC and HSC results of the student Parental academic qualification Higher family income residential in hall student s class attendance study time without class period have a positive impact and the factors like students internet use for non-academic purpose political status mobile phone using for non academic purpose in the University have a negative impact of students academic result

Restaurant Revenue Prediction Applying Supervised Learning Methods

In the competitive world, it is difficult to make a decision where to open a restaurant outlet that produces maximum revenue. Especially, it is difficult to accurately extrapolate across geographies and culture based on the personal judgement and experiences. Supervised learning approach may play a vital role to determine the feasibility of a new outlet with the prediction of revenue. The goal of this study was to predict restaurant revenue of 100,000 regional tab food investment (TFI) restaurant locations across Turkey. Several supervised learning techniques were used to select the optimal model for prediction. The LASSO method was selected as the best supervised method for the prediction of revenue as determined by lowest test error. Other models were employed, but LASSO outperformed all other models and had the added benefit of simplicity and interpretability. The LASSO model was used to predict the revenue of 100,000 new restaurant site locations based on the coefficients termed using the training data

Comparison of ECC and RSA algorithms in IOT devices

IoT is the evolution of the internet. Concerning tight communication between the individual and business, number of IoT nodes are rapidly increasing. Most of the services in IoT heavily rely on security mechanisms that pose security imperative for embedded devices in IoT. The failures in IoT can have severe results; consequently, the research toward security concerns are of extreme significance in IoT. Preserving the confidentiality and privacy, ensuring the availability of the services that are proposed by IoT ecosystem, assuring the safety of the assets in IoT like devices, data, infrastructures, and users, are the main objectives in IoT security. The significant issue that makes IoT devices vulnerable is the lack of an appropriate security mechanism to preserve data. Attackers can exploit these weaknesses to obtain access to valuable data. Hence, thoughtfully chosen and practically tested encryption algorithm must be performed to enhance the device efficiency and decrease the risk of sensitive data exposure. Understanding and comparing algorithms implemented in IoT devices, regarding performance discussed in this paper. RSA (Rivest Shamir Adleman) and ECC (Elliptic Curve Cryptography) algorithms have been compared for identifying the most lightweight, secure, efficient implementation in IoT. Based on the findings, the ECC algorithm outperforms RSA in a constrained environment in terms of memory requirements, energy consumption, key sizes, signature generation time, key generation and execution time, and decryption time while RSA performs better in verifying the signature and encrypting

Role of Supply Chain Management on the Job Control and Social Support for Relationship between Work-Family Conflict and Job Satisfaction

Abstract- The present study investigates the relationship between work-family conflict and job satisfaction of Malaysian workers (N = 1125) based on the supply chain management. It examines the direct and moderating effects of job control and social support on work-family conflict and job satisfaction relationship. The current study examines the Job Demand-Control (JDC) [1] and Job Demand-Control-Support (JDCS) [2] models which are under research in the work-family conflict. Hierarchical regression analyses in the study reveal that work to family conflict (WFC), family to work conflict (FWC) and social support have a direct effect on job satisfaction. However, the result reveals that employees’ job control was not the primary predictor of their job satisfaction. Contrary to the prediction of the JDCS model, the moderating effects of job control and social support on the relationship between work-family conflict and job satisfaction are not found. Implications regarding the importance of the main effect of social support and supply chain management on understanding job satisfaction in Malaysian society and other possible moderators are discussed

Facile Synthesis and Characterization of Multi-Layer Graphene Growth on Co-Ni Oxide/Al2O3 Substrate Using Chemical Vapour Deposition

The synthesis and characterization of multilayer graphene (MLG) growth on bimetallic Co-Ni oxide/Al2O3 substrate using chemical vapour deposition (CVD) were investigated. The synthesis of MLG was performed at a temperature range of 700-900 oC. Characterization was carried out using TGA, XRD, FESEM, HRTEM, EDX, XPS, FTIR, and Raman spectroscopy. The MLG growth on the bimetallic substrate was confirmed by XRD, FESEM, and HRTEM analysis. TGA and Raman spectroscopy analyses indicate the formation of thermally stable and high-quality MLG. The kinetic growth of MLG was investigated by varying the reaction temperature and monitoring the partial pressure of the ethanol (C2H5OH) as well as that of hydrogen. The data obtained were fitted to the Langmuir-Hinshelwood kinetic model for the estimation of the reaction rate constants at different temperatures. The results showed that the reaction rate constant increased with temperature and the apparent activation energy of 13.72 kJ.mol-1 was obtained indicating a relatively fast rate of MLG growth. The parity plot obtained for the comparison of the predicted and observed rate of C2H5OH consumptions showed an excellent agreement. This study is important for understanding the growth kinetics of MLG in order to develop appropriate measures that can control the production of MLG thin films for use in the electronic industries. Copyright © 2018 BCREC Group. All rights reserved Received: 12nd August 2017; Revised: 15th February 2018; Accepted: 18th February 2018; Available online: 11st June 2018; Published regularly: 1st August 2018 How to Cite: Ali, M., Rashid, S.A., Hamidon, M.Z., Yasin, F.M. (2018). Facile Synthesis and Characterization of Multi-Layer Graphene Growth on Co-Ni Oxide/Al2O3 Substrate Using Chemical Vapour Deposition. Bulletin of Chemical Reaction Engineering & Catalysis, 13 (2): 341-354 (doi:10.9767/bcrec.13.2.1453.341-354

Facile synthesis and characterization of multi-layer graphene growth on Co-Ni oxide/Al2O3 substrate using chemical vapour deposition

The synthesis and characterization of multilayer graphene (MLG) growth on bimetallic Co-Ni oxide/Al2O3 substrate using chemical vapour deposition (CVD) were investigated. The synthesis of MLG was performed at a temperature range of 700-900 oC. Characterization was carried out using TGA, XRD, FESEM, HRTEM, EDX, XPS, FTIR, and Raman spectroscopy. The MLG growth on the bimetallic substrate was confirmed by XRD, FESEM, and HRTEM analysis. TGA and Raman spectroscopy analyses indicate the formation of thermally stable and high-quality MLG. The kinetic growth of MLG was investigated by varying the reaction temperature and monitoring the partial pressure of the ethanol (C2H5OH) as well as that of hydrogen. The data obtained were fitted to the Langmuir-Hinshelwood kinetic model for the estimation of the reaction rate constants at different temperatures. The results showed that the reaction rate constant increased with temperature and the apparent activation energy of 13.72 kJ.mol-1 was obtained indicating a relatively fast rate of MLG growth. The parity plot obtained for the comparison of the predicted and observed rate of C2H5OH consumptions showed an excellent agreement. This study is important for understanding the growth kinetics of MLG in order to develop appropriate measures that can control the production of MLG thin films for use in the electronic industries

Simple synthesis of large-area multilayer graphene films on dielectric substrate via chemical vapor deposition route (synthesis of MLG films on dielectric substrates via CVD route)

A systematic study of three distinct process variables to optimize the maximum formation of multilayer graphene (MLG) thin films grown over an alumina substrate supported Co-Ni catalyst was performed. The three considered parameters were the reaction temperature, catalyst composition, and ethanol flow rate. The optimization process was employed to ensure a high performance in the utilized experimental ranges and to evaluate the interactive effects of the three parameters on the MLG yield of the ethanol-based chemical vapor deposition (CVD) method for potential gas-sensing applications. The synthesis and physical properties of the MLG characterized over the 0.3Co-0.7Ni/Al2O3 catalyst under optimum conditions were characterized using X-ray diffraction (XRD) (Rigaku; MiniFlex diffractometer with a Cu Kα radiation source, λ=0.15418 nm), field emission scanning electron microscopy (FESEM) (JSM-7800F) and Raman spectroscopy (RS) (Jobin Yvon Horiba HR800UV) analysis