Technological Advances In Industry Research Articles

Performance of Aromatic Amine-Modified Metallocene Polyalphaolefin Lubricant Base Oil

With the continuous advancement of industrial technology, higher demands have been placed on the properties of gear oils, such as oxidation stability and shear resistance. Herein, the oxidation stability of high-viscosity metallocene poly-α-olefins (mPAOs) was improved by chemical modification via aromatic amine alkylation. The modified mPAO base oils were synthesized separately with diphenylamine (mPAO-DPA) and N-phenyl-α-naphthylamine (mPAO-NPA), and their applicability in industrial gear oil formulations was evaluated. The composition and physicochemical properties of the obtained samples were assessed using 1H NMR spectroscopy, Fourier transform infrared spectroscopy, gel permeation chromatography, and the American Society for Testing and Materials standards (ASTM D445, ASTM D2270, ASTM D92, etc.) confirming the successful completion of the alkylation reaction. The oxidation stability of the samples was also evaluated using pressurized differential scanning calorimetry. The initial oxidation temperature of mPAO-NPA (230 °C) was 53 °C higher than that of mPAO, and the oxidation induction period of mPAO-DPA was nearly twice that of mPAO-NPA. Thermogravimetric analysis in air revealed the increased thermal decomposition temperature and improved thermal stability of modified mPAO. ISO VG 320 industrial gear oils were formulated using mPAO alkylated with N-phenyl-α-naphthylamine(Lub-2) and commercially purchased PAO100 (Lub-1) as base oil components. The antioxidant performance of two industrial gear oils was evaluated through oven oxidation and rotating oxygen bomb tests. The oxidation induction period of Lub-2 was 30% higher than that of Lub-1, with the latter having a lower acid number and a smaller increase in viscosity at 40 °C. Finally, the friction performance of the samples was assessed on a four-ball friction tester, revealing the synergistic effect of the mPAO-NPA base oil with the HiTEC 3339 additive, forming a more stable oil film with a smaller wear scar diameter.

Performance analysis of an optimized PID-P controller for the position control of a magnetic levitation system using recent optimization algorithms

As industrial technology advances, there is an increasing need for very precise position control mechanisms for highly integrated and accurate products. Therefore, high precision positioning systems play an essential part in today's manufacturing processes. Piezoelectric actuators offer the requisite stiffness and positioning precision, but they have a limited traveling range. The combination of a linear motor with air bearings is a typical method for achieving long stroke movement at high speeds. However, to accomplish extensive and precise motion in several degrees of freedom with a linear motor and non-contact bearing, a sophisticated system setup is required. In this paper, a proportional-integral-derivative-proportional (PID-P) controller is presented for magnetic levitation system position control. Particle swarm optimization (PSO) and Black window optimization (BWO) algorithms are proposed for tuning the PID-P controller parameters. The PSO and BWO algorithms are employed by considering Integral Time Absolute Error (ITAE) as an objective function with rise-time and percentage peak overshoot as constraints. Furthermore, the performance of PSO and BWOA tuned PID-P controllers is compared to conventional PID-P and PID controllers using time response specifications such as rise time, settling time, and percentage peak overshoot. The graphical and numerical simulation results show that the PSO and BWOA tuned PID-P controller outperforms the conventional PID-P and PID controllers. The BWOA tuned PID-P controller outperformed the PSO tuned PID controller and the classical PID-P controller by 8.5 % in rise time, 46.77 % in settling time, and 86.6 % in percentage peak overshoot.

PELATIHAN PENGELOLAAN KEUANGAN DAN PROMOSI DIGITAL UNTUK UMKM

Small and medium businesses are increasingly developing along with advances in industrial technology and tourism in Lombok. Based on data from the Central Statistics Agency, the city of Mataram ranks first in the number of MSMEs in NTB with a total of 22,473 as of July 2021. MSME problems in the city of Mataram are still constrained by capital, licensing, raw materials, product marketing, financial management and innovation. Findings from research conducted by the Bumigora University Community Service Team, from a total of 100 MSMEs that have been surveyed, state that capital is the biggest obstacle for MSME players in developing business with a percentage of 37%, financial management 30%, promotion 17%, raw materials 15 %, and others 11%. Based on observation data, action is needed to overcome MSME problems and help develop the businesses of MSME actors in Mataram City. The Bumigora University Community Service Team tries to facilitate MSMEs in facing challenges, especially those related to financial management and promotion by conducting training for MSME players. MSME training is packaged in the form of workshops accompanied by practice in making financial reports and carrying out digital promotions as a follow-up to this training.

Function adjustment of economic law under industrial new normal environment based on improved neural network

In the new normal period, the trend changes and adjustments of the environment such as international trade, production capacity, labor supply and resource constraints have put forward new requirements for China’s industrial development, which have brought new challenges and given new opportunities. In the new normal stage where economic growth continues to decline, industrial growth is still an important support for economic growth. The advancement of industrial technology is the main driving force for improving the total factor productivity of the industrial industry. Therefore, the most important thing to promote industrial growth is to upgrade the level of industrial technology. In response to the above-mentioned problems, this paper analyzed the relationship between industrial technology and industrial output in the new normal environment by using the BP neural network (BPNN) algorithm. The connection between the two has been found, which provided a clear direction for the functional adjustment of economic law. Experimental studies have shown that there is a positive relationship between industrial technological progress and industrial output. When other conditions are the same, and when the non-new normal is selected, industrial output increases by about 0.36% for every 1% increase in industrial technological progress. When choosing to be in the new normal, industrial technological progress has a higher impact on industrial output. For every 1% increase in technological progress, industrial output increases by about 0.39%.

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder

Technological advances in industry have made it possible to install many connected sensors, generating a great amount of observations at high rate. The advent of Industry 4.0 requires analysis capabilities of heterogeneous data in form of related multivariate time series. However, missing data can degrade processing and lead to bias and misunderstandings or even wrong decision-making. In this paper, a recurrent neural network-based denoising autoencoder is proposed for gap imputation in related multivariate time series, i.e., series that exhibit spatio-temporal correlations. The denoising autoencoder (DAE) is able to reproduce input missing data by learning to remove intentionally added gaps, while the recurrent neural network (RNN) captures temporal patterns and relationships among variables. For that reason, different unidirectional (simple RNN, GRU, LSTM) and bidirectional (BiSRNN, BiGRU, BiLSTM) architectures are compared with each other and to state-of-the-art methods using three different datasets in the experiments. The implementation with BiGRU layers outperforms the others, effectively filling gaps with a low reconstruction error. The use of this approach is appropriate for complex scenarios where several variables contain long gaps. However, extreme scenarios with very short gaps in one variable or no available data should be avoided.

Leveraging Gamification in Industry 5.0: Tailored Solutions for Workplace’ Employees

The rapid advancement of technology in Industry 4.0 (I4.0) led to the widespread use of cutting-edge technologies like Virtual Reality (VR) and Augmented Reality (AR). However, with Industry 5.0 (I5.0), comes a paradigm shift that emphasizes the importance of human well-being to establish a stronger sense of connection and purpose for employees. In this endeavour, gamification has emerged as a powerful tool, showing great potential in engaging, motivating, and empowering employees. This research paper aims to investigate the potential of gamification within the workplace and addresses three main research questions. Firstly, the study explores the prevalent equipment or devices used by organizations that implement gamification, and the relationship with the success of gamification strategies. Secondly, it examines how employees' age influences their perceptions of gamification's potential and their willingness to embrace its implementation. Lastly, this research investigates the relationship between employee satisfaction - with the implemented gamification strategy - and their participation in the design process. The study adopts a survey-based methodology, gathering data from 23 participants through a convenient sampling approach. Quantitative data analysis is conducted using Microsoft Excel, while qualitative data analysis is performed using NVivo. The findings explore the interrelationships between gamification, technology usage, age, employee satisfaction, and participation in the design process, highlighting the prevalence of computers, tablets, and mobile devices as the primary tools in gamification experiences. Moreover, the study emphasizes how employees' age influences their perceptions of gamification and reveals a positive relationship between employee satisfaction and participation in the design process. These findings underscore the potential of gamification in enhancing collaboration, learning, and employee well-being, and ultimately driving organizational success in the I5.0 era.

A Review: Artificial Intelligence Related to Agricultural Equipment Integrated with the Internet of Things

Abstract—The development of modern technology has brought progress to the agricultural sector. Previously, farming was carried out using traditional methods, resulting in lower crop production. Now the world is faced with various problems, there are challenges such as climate fluctuations and increasing human population. This problem causes food needs to increase drastically, so adopting Industry 4.0 technology in the agricultural sector is necessary. Artificial Intelligence (AI) and Internet of Things (IoT) are part of industrial technology advances 4.0 that can be applied to modern agriculture. This paper reviews several AI technologies used in the agricultural sector, such as Fuzzy Logic (FL), Artificial Neural Network (ANN), Machine Learning (ML), Deep Learning (DL), Genetic Algorithm (GA), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Decision Support System (DSS). The application form of integration between AI and IoT is divided into several categories: soil monitoring, agricultural irrigation, fertilizer spraying, pest and plant disease control, harvesting, forecasting, and yield monitoring. This review paper was created to provide a comprehensive overview of modern agriculture integrating AI and IoT. This form of application makes it possible to predict the future of agriculture so that it can manage resources more efficiently and run autonomously. This review aims to analyze and explore the latest developments in integrating AI and IoT in agricultural equipment in the period 2019 to 2023. Thus, it is hoped that this article can provide in-depth insight into future agricultural technology advances.
 
 Keywords—Artificial Intelligence (AI), Internet of Things (IoT), Agriculture, Integration of AI and IoT, Smart farming.

Penerapan Tranformasi Digital dan Hambatannya Pada Industri Kuliner di Indonesia

In this era of digitalization, business actors trying to adapt and be creative with a digital approach is a necessity. The ability of organizations to continue to survive is determined by their ability to adapt to technological advances in industry 4.0. In previous studies, many have investigated the opportunities presented by the role of digital transformation, but there are still obstacles and challenges faced in implementing this digital transformation. The culinary industry, which focuses on customer service and convenience in the process of implementing digital transformation in its business, also faces challenges in its journey. This study aims to discuss and identify obstacles and challenges faced by culinary industry players in the form of restaurants that are transitioning to implementing digital transformation in their services. Qualitative research methods were used in this study by conducting semi-structured interviews with owners, managers and employees in the culinary industry in several cities in Indonesia. Data collection based on empirical reviews and theoretical theories: lack of knowledge, lack of resources and cultural change. Empirical findings in the study show that most restaurants that are implementing digital transformation face challenges in terms of lack of resources, cultural change and lack of knowledge. The implications of this research can provide an overview for practitioners regarding the obstacles and challenges that restaurants will face in the process of implementing digital transformation in their business. This research can also be used as literature to fill the gaps that exist in the obstacles and challenges of digital transformation, especially in business.

Application and Implementation of Artificial Intelligence Technology for Intelligent Vehicle

With the development of artificial intelligence (AI) and the advancement of industrial technology, electric vehicles have become the main tools for people’s travel mobility. In order to cope with the faster rhythms of life and to meet people’s aspirations to live a better life, the integration of AI technology and automobiles is becoming closer and more popular. In this study, the transplantation of TensorFlow and Keras architecture on the embedded platform is implemented. An intelligent tracking car is designed and completed. It takes one i.MX RT1064 as the core processor, two electromagnetic rods as the tracking sensors, a steering gear and a motor as the motion control system, and has the application of neural network algorithm in the training and operation stages. The application of convolutional neural networks to the electromagnetic tracking of intelligent car is realized. Through the research of this smart car model, it helps to deeply understand the key technologies and automotive automation control systems of smart car manufacturing, and lay a solid foundation for designing practical smart cars in the future

Carbon black: Production, properties, and utilization

As of today, only a few people know about carbon black. Their knowledge and understanding are also limited to the fact that carbon is charcoal from coconut shells or black activated carbon. In addition, some people only know carbon as carbon copy and ink material. On the other hand, there is another type of carbon that comes from oil content and can be used for various industrial purposes. This carbon is produced and used with advanced and modern technology, which is called carbon black. Currently, by looking at the market signal, carbon black has become a very profitable commodity. Carbon black industries develop systems and technologies to produce the best quality with minimized environmental effects. In fact, because of the promising price and high market demand, carbon black factories invest in advanced production equipment. In its development, through continuous research and by utilizing advances in industrial technology, currently, carbon black can be added to various materials to improve the physical, electrical, or optical properties of the material.

The Impact of Industrial Revolution 4.0 and the Future of the Workforce: A Study on Malaysian IT Professionals

With the advent of Industry 4.0, future workspaces are expected to evolve in tandem with technological advances in industry and education. Industry 4.0 calls for transformation and effective talent development is vital in ensuring national aspirations are achieved while eliminating redundancy and ensuring consistency. As such, this study aims to understand the impact of Industry 4.0 on computer engineering-related workforce and skills development within Multinational Companies (MNCs) to Small Medium Enterprises (SMEs) in Malaysia. In this study, online questionnaires were distributed to evaluate the current and future hiring trends. The study reveals that most of the employees have positive perceptions about the industrial current practice on Industry 4.0 and identified the prospective demands on the professions that will be affected. Five significant areas of required competencies found in this study are adaptability, soft skills, software engineering, data analytics, and technical skills. The findings provide empirical evidence about current and future employment scenarios in Malaysia concerning the possible impact of Industry 4.0 on the companies and issues involved in managing the transition to Industry 4.0. Besides, the emergent skills required by workforces that are previously unaddressed in the literature were identified. Empirical evidence from the analysis contributes to shaping the educational systems of the future and helps to proactively identify specific skills shortages at an early stage.

Penerapan Particle Swarm Optimization Pada Algoritma Naïve Bayes Untuk Klasifikasi Hasil Belajar

Advances in industrial technology 4.0 provide many changes in today's life. One example attached to the advancement of industrial technology 4.0 is the use of communication, transactions, even to the level of education using the acceleration of information technology. Some sectors have used advances in information technology such as the government sector, the industrial sector and even the world of education. This is because the greater the influence of the use of information technology to accelerate the transformation of each sector that uses it. But on the other hand, advances in information technology, apart from having a positive impact, also have a negative impact. As a real example of the positive impact, namely in the education sector, during the COVID-19 pandemic, the use of technology could be felt, as far as learning could be close to existing learning videos. However, one of the challenges is that advances in information technology also have a negative impact in the field of education, namely the dependence of students or students to spend more time playing online games (e-sports). So that it can affect the results of student learning achievement. Therefore, the research method that will be used is to use the classification of the influence of e-sports on student learning outcomes using the Nave Bayes algorithm which is optimized using particle swarm optimization. In its implementation, it was found that some students experienced decreased learning outcomes and some increased, of course this was influenced by several factors, both internal and external to the students themselves. The implementation of the algorithm used in this study obtained a sufficient level of classification with an AUC (area under classification) value of 0.792 and an accuracy value of 75.95%

Islamic elementary school quality improvement in capital theory perspective

Improving the quality of Islamic schools in the midst of advances in industrial technology 4.0 is an obligation in education world. This research aimed to explore comprehensive information in order to describe the trends and Islamic elementary schools’ strategies in making changes through capital theory approach for quality improvement in a new perspective in the globalization era. The capital theories aspects are: intellectual, social, spiritual, and financial as an analytical framework to find out how schools are transformed. Three Islamic elementary schools with type of A, B and C criteria have been involved. A qualitative approach has been used and the findings are described according to Milles and Haberman's clausal network model. Data was collected through interviews, observation and documentation. The research found that the strategy used by each Islamic elementary school in improving quality were different and strongly influenced by the leader in developing and utilizing the capital existence according to the situation. It can be seen that there is a dominance of one capital aspect that is used to facilitate the other. This presentation is based on the perspective of capital theory in the Indonesian context. In the future, it can be used as a basis for conducting further research in carrying out school transformation more broadly.

Impact of Technological Advancement in the Society in Nigeria

Today, innovations in information technology are having wide-ranging effects across numerous domains of society and policy makers are acting on issues involving economic productivity, intellectual property rights, privacy protection and affordability of access to information. The most significant outcomes of the progress of information technology is electronic commerce over the internet, a new way of conducting business. Already, it affects such large sectors as communications, finance and retail trade and has expanded to areas such as education and health services. Firms can outsource their manufacturing to other nations and rely on telecommunications to keep marketing, R&D and his distribution teams close contact with the manufacturing groups. The technology enables various types of work and employment to be decoupled from one another. The paper will focus on the impacts of information technology and electronic commerce on business models, commerce, market structure, workplace, labour market, education. Changes associated with rapid technological advances in industry have made continual upgrading of professional skills and economic necessity.

Multiobjective Genetic Algorithm applied to inverse finite element analysis: T-joint welding case study

ABSTRACT Welding processes play as an important role in the manufacturing of a lot of products in most of industrial sectors. Despite its wide applicability, the welding process is subjected to some inconsistencies in quality due to controllable and uncontrollable variables. This work is aimed to use inverse Finite Element Analysis (FEA) to simulate the movement of the heat flow in the base metal submitted to the Gas Metal Arc Welding (GMAW) process. To this end, control limits were established, such as voltage and electric current (in the form of the heat source) and welding speed in order to obtain optimized values of deformations and stresses along the plates subjected to the GMAW welding process. For the numerical simulation process modelling, empirical data from weld beads applied on both sides of two ASTM A36 steel plates (thickness of 9.5 mm each) were used in a T-joint configuration. In this case, a multiobjective algorithm to find the optimized solution was used. Non-dominated Sorting Genetic Algorithm II (NSGA II) in conjunction with FEA was applied. The results presented are consistent with literature data within the pre-established limits, which are deformations and stresses less than 2 mm and 600 MPa, respectively. This demonstrates the potential of using FEA in conjunction with the NSGA II genetic algorithm to predict input variables in welding processes. This can be considered an important contribution to the industrial technological advancement for predicting welding process’s variables.

Utilization of Palm Oil Mill Residue as Sustainable Pavement Materials: A Review

The advances in industrial technology have led to a major rise in the amount and forms of residue, especially during the processing of agricultural products. With the paradigm shift towards renewable energy and sustainability, there is much emphasis on biomass energy around the world which generates an immense volume of residues yearly. These residues are burgeoning issues because they are not effectively managed and utilized. Hence, one solution is utilizing them in the pavement industry. This article focuses on palm oil mill residues that are abundantly available and discarded in Malaysia. This study evaluates published works of literature relating to the utilization of these residues like the Palm Oil Fiber (POF), Palm Oil Fuel Ash (POFA), and Palm Oil Clinker (POC) and Palm Kernel Shell (PKS) in the pavement industry. The outcome of the review acknowledges the greater sustainability potential of these residues with affirmative and satisfactory performance via the result of numerous research work. Also, with a reduction in CO2-emission, low radioactivity, and heavy metal leaching level. Therefore, the review suggests more exploration and utilization of the residue in the pavement industry since it promotes safety and harness sustainability.

The Future Of Accounting Profession in The Industrial Revolution 4.0: Meta-Synthesis Analysis

Various appearances of applied technology, such as Artificial Intelligence (AI), Internet of Things (IoT), and Big Data are all Industrial Revolution 4.0 characteristics that can change the business model. This research aims to explore how the advancement of Industrial Revolution 4.0 technology might disrupt the accounting profession. This research applied meta-synthesis method. The results of this study illustrated that the importance of development in the accounting sector is to keep pace with technological advances in industry 4.0. This must be balanced with the development of knowledge in the field of accounting so that all types of development can be carried out as well as possible. The findings showed that the appearance of various kinds new technology had a very significant impact in the development of the accounting profession. Further research should be able to discuss the Industrial Revolution 4.0 impact in more depth and can be linked to other accounting professions, such as internal auditors.
 Keywords: Accounting Profession; Industrial Revolution 4.0; Technology.

Parallel implementation of metaheuristics for optimizing tool path computation on CNC machining

The incorporation of technological advances in industry is a must, even for traditional sectors where most companies are SMEs and investments are limited. Technology can be used to increase productivity and the quality of the manufactured product. Drilling is a common procedure in industry. It usually consists of multiple drilling of a flat surface with a tool. Usually the tool is placed on the surface to be drilled at a safe distance and then it makes the drilling in a linear fashion. Optimization of the tool path often involves reducing the movement of the tool to place it over the next point to be drilled, known as airtime. The problem of minimizing airtime for drill paths is highly complex. Most proposals to solve the problem try to adapt it to the formulation of the Traveling Salesman Problem (TSP), in which the objective is to navigate a list of nodes using the minimum global distance. In this paper, the purpose is to provide a solution to the TSP applied to tool path optimization by means of a Discrete version of the Teacher-Learner-Based Optimization (TLBO) algorithm. To improve performance, the algorithm is implemented using a parallel Computer Unified Device Architecture (CUDA) and run on a manycore Graphical Processing Unit (GPU). The results show that the parallel implementation of Discrete TLBO is faster than 9x the sequential implementation.

Green Chemistry principle: Ionic Liquids as a material teaching for vocational students

The development of human civilization is characterized by the type of material used by society. The rapid development of material engineering and technology produces a variety of advanced materials such as smart materials, natural materials, chemical materials, nanomaterials, advanced materials, and environmentally friendly materials. Ionic Liquids (ILs) have criteria that are expected to be environmentally friendly because of their Green Chemistry (GC). The vocational syllabus needs to be reconstructed to be able to adapt this material technological progress. The purpose of this study was to determine the opinions of lecturers on the adoption of Ionic Liquid material teaching materials in vocational education in an effort to deal with the use of environmentally friendly materials that are indispensable in the industrial field. The subject of the study was taken through a purposive sampling method. There were 5 lecturers in one of the private polytechnics. Data collection through questionnaires is intended to determine the views of lecturers on ionic fluid material teaching materials and analyze the material requirements to be adopted into the vocational curriculum. The investigation results show that the interest and willingness of the lecturer to study and disseminate reached a score of 80%, this means that the lecturer needed the Ionic Liquid material. However, the teacher’s understanding score still needs to be improved, so that it is necessary to design an Ionic Liquid teaching material that is interesting and easy to understand by both lecturers and students. The implications of this study can be used as recommendations in learning to be able to enrich the syllabus by adding Ionic Liquid material teaching material as an indispensable teaching material along with technological advances in industry 4.0.

Calorimetric studies and kinetic determination of fires and explosions of a chemical processing of dicumyl peroxide

The polymerization industry has existed for many years. The advancement of industrial technology is contributed to the related synthesis and application of enduring polymer operation. Organic peroxide (OP) initiators have been used and applied to practical industrial processes which may cause a runaway reaction due to their self-reactive property. OPs have been used for a long time and studied in the related literature. However, there are still emerging OPs that have recently been applied to these processes, and there are few related studies. To ensure the thermal safety of OPs in the process of production, transportation, and storage, the common OP initiator such as dicumyl peroxide (DCPO) was selected to be investigated. First, thermal decomposition characteristics under non-isothermal and adiabatic conditions of DCPO were acquired by differential scanning calorimetry. Second, combined calorimetry with pseudo-adiabatic and isothermal conditions can determine the process of thermal hazards and basic reaction patterns. The gleaned data can input into a mathematical model to evaluate the basic thermal hazards for DCPO, respectively. In addition, based on simulated thermal explosion models and kinetic parameters, hazardous properties of storage and transport can also be acquired. The results show that the DCPO has prominent hazard properties on thermal and explosive hazards in process conditions which should pay much attention to temperature during storage and transportation.