Part Of Industry Research Articles

The Causes of the Sex Industry Within Japans Economic Structure

Within the patriarchal societal background of Japan, the sex industry serves as a mainstay part of service. As more and more women have higher social access, the gender gap between women and men is still wide by social standards and expectations. What is the thing that keeps women stuck in the position of experiencing social gaze, and how is the sex industry part of the indication of womens status and current situation? This essay answers the questions by having a reason analysis and case study of interviews of female sex workers and explaining the causes of the flourishing sex industry by social and cultural aspects. Beyond the phenomenon, the essay ties up the factors of causes to analyze a deeper understanding of social problems in Japan: under female objectification, it would be difficult to promote total progress in society. Moreover, in the end, it further illustrates how government can be a channel to solve the problems by modifying the loan system and enhancing complete welfare for sex workers.

THE IMPLEMENTATION OF VIRTUAL TOURISM: A BIBLIOMETRIC AND VISUALIZATION ANALYSIS

Technology is a crucial part of the tourism industry; supporting businesses with daily operations, while improving customer experiences. Virtual reality (VR) has garnered considerable attention as an emerging technology with the potential to bring about substantial transformations in the tourism industry. Consequently, the concept of virtual tourism has emerged as a contemporary and contentious issue, generating diverse discussions. In the context of tourism digitalization and the growing trend of virtual tourism, a review for exploring the state of the art of this new kind of tourism is essential. This study employed systematic and narrative reviews to explore research domains and highlight an up-to-date insight into the current state of research on virtual tourism. Based on performance mapping and intellectual mapping, keywords and clusters analysis were implemented to explore the current state of research on virtual tourism and suggest some implications for future research agenda. The five clusters included (1) Visualization with computer graphics in cultural heritages; (2) Tourism issues, COVID-19, and virtual reality technology; (3) Virtual reality technology and application in tourism; (4) Virtual tourism characteristics and user experience; and (5) Cyber tourism, internet and information technology. Some implications for future research agenda had been introduced through the analysis of bibliographic coupling depicted by visualization of similarities (VOS) viewer application.

Peningkatan Value Added dalam Industri Tahu melalui Penerapan Lean Manufacturing dan Analisis Waste

Productivity is the most vital part of the food industry as it is one of the priority industries in Indonesia. PD. Saluyo is an industry that produces tofu, which needs to increase production efficiency to meet market needs. The problem in the tofu production process is the high waiting time during soybean soaking. The approach used in this research is lean manufacturing by mapping the process using Value Stream Mapping so that Value Added, Non-Value Added and Necessary Non-Value Added activities can be mapped. Further, Value Added, Non-Value Added and Necessary Non-Value Added data processing is weighted in VALSAT to determine the most significant waste and mapped through PAM. The mapping results obtained a VA of 3,29%, NVA of 90,64% and Necessary Non-Value Added of 6,06%. Based on the results of the VALSAT calculation, the most significant waste is found in time waiting and unnecessary motion. These results are re-mapped in PAM for further analysis using the Cause-Effect Diagram. The analysis results of PAM and the Cause-and-Effect Diagram proposed improvements to change the soaking process method using hot water and create a new SOP to adjust to the proposed production process. The results of the proposed improvements can increase the value added by 0,07% from 3,29% to 3,36%.

Study on Smart Downtime Monitoring System in Glove Production

The manufacturing industry is pushing forward with the smart machineries, linked networks, and a smart environment to enhance Big Data’s operations – gaining intelligence and actionable real-time insights for higher efficient and smart production. However, in many parts of the manufacturing industry, manual monitoring system is still the usual practice, especially the long-established plants that consist of legacy machines. The monitoring processes of the lines in Top Glove F31 such as recording the lines’ downtime duration, checking the source of the stoppage, transferring the data into spreadsheet, and analyzing the downtime of the lines are all being carried out by human operators. There is a high tendency for the workers to overlook the maintenance of the system because of this work practice, and it will contribute to higher unplanned downtime of the lines. Thus, this project proposes to design an automatic downtime monitoring system that consists of sensors, PLC’s programming, and IoT technologies that can decrease the dependency on workers and not prone to human mistakes to reduce the unplanned downtime of the lines and increase the efficiency of the system.

Comparison Study On Pinch-Hitting Vibration Signal Analysis for Automotive Bearing: I-KazTM and I-Kaz 3D

Rotating machines are now an essential part of the automotive industry. Meanwhile, a bearing is playing the most important component of rotating machinery. To sustain the system's smooth running, maintenance methods such as preventive maintenance, breakdown maintenance, and predictive maintenance are used. Under preventive maintenance, vibration analysis is used to diagnose machines bearing faults. The main objective is to recognize bearing defects in a mechanical device by acquiring signals from the bearing using data acquisition hardware. This analysis is conducted under various load torque conditions, speeds, and defect types. A modular hardware configuration consisting of an accelerometer acquires the vibration signal. The signals are analyzed by using I-kazTM and I-kaz 3D signal analysis and its main objective is to observe the degree of dispersion data from its mean point. This analysis resolves the issues associated with time domain analysis. This pinch-hitting analysis research was conducted in two stages. The first stage is an experimental process that uses 3 types of bearings, the healthy (BL), inner race fault (IRF), and defect at outer race (ORF) bearing on the Machine Fault Simulator and forces with a different type of speed (1000, 1500 and 2500 rpm) and load variation (0.0564, 0.564 and 1.1298 N-m). In the second stage, computing the coefficient value and plots of signal’s I-kazTM and I-kaz 3D based on the bearings type were done accordingly. As a result, the analysis for detecting inner race fault, the deviation percentage averages calculation obtained the I-kazTM coefficient shows a better result with 96.86% by comparing to the I-kaz 3D that achieves 94.20%. Similarly, for the outer race defect, I-kazTM lead with 65.40% compared to I-kaz 3D with only 54.82%.

Retracted: Application of CAD Technology in Extracting Line Feature of Industrial Part Image

Retracted: Application of CAD Technology in Extracting Line Feature of Industrial Part Image

Manufacturing and Properties of Various Ceramic-Embedded Composite Fabrics for Protective Clothing in Gas and Oil Industries Part II: Thermal Wear Comfort via Thermal Manikin

Thermal wear comfort for workwear clothing plays a vital role in maintaining comfortable water- and moisture-vapor-permeable properties while wearing clothing. In particular, thermal wear comfort measured using a thermal manikin is required in the protective workwear clothing market because their use provides objective data concerning the actual wearing performance of the clothing. This paper investigated the thermal wear comfort properties of various ceramic-embedded composite fabrics for workwear clothing worn in gas and oil industries produced from new schemes. The thermal insulation rate (Clo value) of Al2O3(Aluminum oxide)/graphite, ZnO(zinc oxide)/ZrC(zirconium carbide) and ZnO/ATO(antimony tin oxide)-embedded clothing was greater (25.5, 24.7 and 16.9%, respectively) than that of regular clothing (control), which was in accordance with the results (15.0, 13.8 and 11.3% higher, respectively) of the heat retention rate (I) of fabric specimens. It revealed that ZnO- and ATO-embedded yarns mixed with ZrC particles enhanced thermal wear comfort and had superior anti-static and UV-protective properties. Considering UV-protective and anti-static protective clothing worn in gas and oil industries and cold weather regions, it can be concluded that ZnO/ZrC-incorporated fabric is suitable because it showed superior thermal wear comfort with excellent UV-protective and acceptable anti-static properties. Meanwhile, assuming high functional performance for protective clothing worn in winter and factories, ZnO/ATO-incorporated fabric is pertinent to fabricating protective clothing for cold weather regions.

MEANS OF VIDEO ART: KHARKIV PROJECTS «IN THE DARK» AND «LIUTYI»

The article examines the use of moving image and video practices as a means of visual activity in the cultural and artistic exhibition environment. The analysis is based on the influence of the visual in the context of social and contemporary art. This problem is raised in the theory of Ukrainian art criticism about Ukrainian video art in a visual way and represents the testing of art projects. The aim is to analyze and define the segments of visual activity of Kharkiv video art using the examples of the projects In the Dark and Liutyi. The analysis of sources and recent publications has revealed a high degree of research on the emergence of video art and the reasons for the emergence of a new screen form in the global context, but in the context of the contemporary development of Ukrainian video art and the peculiarities of the use of moving image in the practices of Ukrainian artists at the level of local and regional schools, it has not been properly and deeply studied. The artistic direction of video art, which emerged at the turn of the twentieth and twenty-first centuries, has not received structuring and theorization of the main technical and technological means of reproduction and representation of forms and hybrid forms, including a study of the artistic practices of Kharkiv video art and its place in the general context of the regional peculiarities of Ukrainian video art. The study of these issues and the development of these principles are the most relevant issues for the Ukrainian artistic process. It is important to note that art projects such as In the Dark and Liutyi, which use video art, have a common idea, a common space and environment. They develop the aesthetics of a loft space for immersion in a new reality that creates a moving image and is also part of the contemporary creative industry. Artistic visions change the viewer’s emotions and mental component into a transformed sense of reality, causing a state of immersion, combining different and distant associations in one trope and leading to a synthesis of several sensations, which actualizes the personal, visual and deepens the social sense of the individual.

Development and Evaluation of Corrosion Resistance and Hydrophobic Properties of Thermal Sprayed Coatings over Carbon Steel

Various industrial parts and equipment made of steel need to withstand demanding conditions. In order to increase performance and lifetime, surface processing and functional coatings can be applied. In this study we report on the evaluation of coated carbon steel with commercial corrosion-resistant powders Diamalloy 4276 and Woka 7502 by Oerlikon Metco, using thermal spraying. Further functionalization is performed by rendering thermal sprayed surfaces syperhydrophobic via gas phase deposition of trichloro-1H,1H,2H,2H-perfluorooctyl silane, (PFOTS). Electrochemical impedance spectroscopy, contact angle and water condensation studies reveal the protective properties of coatings prepared by both materials as well as the superiority of Diamalloy 4276 based coatings. Corrosion was evaluated under a harsh 20% w/w H2SO4 environment. Rendering the coating superhydrophobic improves water condensation under the tested conditions of high (80%) relative humidity.

Industrial Application of the ANFIS Algorithm—Customer Satisfaction Assessment in the Dairy Industry

As a part of the food industry, the dairy industry is one of the most important sectors of the process industry, keeping in mind the number of employees in that sector, the share in the total industrial production, and the overall value added. Many strategies have been developed over time to satisfy customer needs and assess customer satisfaction. This paper proposes an innovative model based on adaptive neuro-fuzzy inference system (ANFIS) and elements of the ACSI (American customer satisfaction index) for assessing and monitoring the level of customer satisfaction in a dairy manufacturing company where there are no large seasonal variations. In terms of an innovative approach, the base of fuzzy logic rules is determined by applying the fuzzy Delphi technique for the application of the ANFIS algorithm and assessment of customer satisfaction. The verification of the model is delivered by testing a real sample from a company of the dairy industry. As decisions on the strategic company level may be impacted by customer satisfaction, the company management should choose the most precise methodology for customer satisfaction assessment. The results are compared with other methods in terms of mean absolute deviation (MAD), mean squared error (MSE), and mean absolute percentage error (MAPE). Results show that ANFIS outperformed other methods used for assessing the level of customer satisfaction, such as case-based reasoning and multiple linear regression.

Environmental and Economic Sustainability Impacts of Metal Additive Manufacturing: A Study in the Industrial Machinery and Aeronautical Sectors

Metal additive manufacturing has emerged as a promising alternative to conventional manufacturing in various industries, offering advantages like complex geometries and reduced material waste. However, there is a research gap in the form of comparative and industry-specific investigations and case studies to comprehensively assess the environmental and economic impact of metal additive manufacturing.This study focuses on two significant sectors, industrial machinery and aeronautics, to understand how metal additive manufacturing influences environmental and economic sustainability compared to conventional manufacturing. Therefore, taking a life cycle approach, the environmental and economic impacts of this technology are evaluated and compared to conventional manufacturing through representative case studies in the two sectors using life cycle assessment and life cycle cost methodologies.The economic evaluation reveals that metal additive manufacturing reduces the total cost for aeronautical components by 33.2 %, even considering several post-processing operations. While for industrial machinery parts, this cost increases by 79.3 % due to high machine and material cost. However, this technology reduces the potential environmental impact by more than 60 % for both sectors, mainly due to reduced material consumption. The use phase for aeronautical components further contributes to environmental and economic benefits, with significant fuel and CO2 emissions savings. The results emphasize the sector-dependent nature of metal additive manufacturing's environmental and economic impact and underscore the importance of a life cycle perspective for informed decision-making.Some critical points for sustainable adoption of metal additive manufacturing in each sector are equipment investment, the post-processing applied, the material selected or, for the aeronautical industry, the impact of the use phase. Nevertheless, future developments are needed to address powder reuse, optimization, certification, and the social impact of metal additive manufacturing.

Parametric study of local laser heat treatment technology on multi forming of advanced-high strength steel (AHSS) part with complex shape

The effectiveness of local laser heat treatment technology to enhance the in situ formability of steels and aluminum alloys has already been widely acknowledged for the one-step forming of components with simple shape geometries. The present study demonstrates that this technology is also able to significantly improve the formability of a complex shaped multi-forming industrial part. An industrial grade advanced-high strength Dual-Phase DP1000 steel is used to analyze the multi-forming of a complex part to determine the most appropriate local laser heat treatment parameters and optimize in situ softening by correlating yield strength, ultimate tensile strength, elongation at fracture, strain hardening exponent and instantaneous strain hardening with local temperature dynamics during the laser treatment. Additionally, numerical simulation analysis using Autoform software is carried out to validate the selected heat affected zone and the in situ softening, ensuring that they are appropriate for improving the formability of the industrial part. These findings are then expanded to study the experimental forming of five in situ laser heat treated models, followed by comparative analysis with a benchmark. This study provides an insight and fundamental guidelines to perform in situ laser heat treatment on complex industrial parts leading to the production of the industrial multi-formed component with optimized formability.

AttentionVote: A coarse-to-fine voting network of anchor-free 6D pose estimation on point cloud for robotic bin-picking application

Current state-of-the-art pose estimation methods are almost launched on segmented RGB-D images. However, these methods may not apply to more general industrial parts due to a lack of texture information and high-occlusion of stacked objects. This article establishes an end-to-end pipeline to synchronously regress all potential object poses from an unsegmented point cloud. The point pair features (PPFs) are first extracted and then fed into a PointNet-like backbone for obtaining the point-wise features. Based on the center voting, a coarse-to-fine voting architecture is proposed to extract instance features instead of implementing instance segmentation. A lightweight three-dimensional (3D) heatmap is leveraged to cluster votes and generate center seeds. Further, an attention voting module is constructed to fuse point-wise features into instance-wise features adaptively. Ultimately, the suggested network regresses object poses with a quaternion loss to handle the symmetric puzzle. The network holds the advantage of producing the final pose prediction without any post-processing steps like non-maximum suppression (NMS) or any pose refinement modules like iterative closest point (ICP). The proposed network is evaluated on the public Fraunhofer IPA dataset, which demonstrates the robustness of the pose estimation network with much better performance. Meanwhile, the network is further validated on our synthetic and real-world datasets of industrial parts for robotic bin-picking.

Development of Leangleang Ancient Park Area as a Leading Destination Based on Natural Tourism, Education and Special Interest

Leangleang Archaeological Park area in Maros Regency has prospective natural and cultural potential to be developed as a leading destination based on natural, educational, and special interest tourism. The problem is how to identify potential natural and cultural characteristics to be managed as tourist attractions. This study aims to identify natural and cultural characters and their management as potential to be developed into leading tourist destinations, through surveys and direct observations to describe unique, interesting, beautiful, and iconic natural and cultural characters. The results showed that the Leangleang Archaeological Park area consists of tower karst hills in which there are many prehistoric caves, various species of fauna and flora that are unique and endemic, beautiful natural scenery, and interesting community agricultural activities. Especially in prehistoric caves, there are unique and beautiful niches and cave ornaments, as well as remnants of prehistoric cultural heritage, such as the oldest hand-stamped painting in the world dating back 45,000 years. The development of these destinations must be managed by providing standard infrastructure that supports and actively involves the local community as part of a sustainable tourism industry.

Simulation of a Flexible Manufacturing System for Machining Some Industrial Parts

One thought about this work because we consider that the operating procedure of flexible systems could be introduced in most factories that propose and have as a priority large-scale production. The mode of operation and planning of each robot is very close to reality thanks to the 3D simulation, made in the Alice three-dimensional graphic environment. With this procedure, one can highlight the main characteristic of a flexible manufacturing system, that is, the flexibility obtained through automation and at the same time the saving of working time. Thanks to the fact that a computerized machine system is used, any piece can be executed, at any time and in any quantity, representing an advantage for any factory that uses this system. Another major advantage is the development of new programs that allow the solution of numerous problems related to the coordination of the various components of the system and the optimal operation of the machine.

AN ADAPTIVE ELLIPTICAL CURVE CRYPTOGRAPHY-RIVEST-SHAMIR-ADLEMAN-BASED ENCRYPTION FOR IoT HEALTHCARE SECURITY MODEL WITH BLOCKCHAIN TECHNOLOGY

The healthcare systems follow the path of client-server architecture in a centralized manner for managing the patient’s health information with the secure storage process. Medical data can be preserved in every medical institution that remains safely in silos. It could be able to access without proper authorization and cannot be transferred. At the same time, while handling massive data, the clinics or hospitals are fragile enough to govern the patient’s health information as the system is confined with such security constraints. Rather than other methodologies, blockchain plays a pivotal part in the medical industry for storing medical data in a secure manner. Since the blockchain represents a reliable and scalable decentralized network, it can conquer certain challenges of classical methods. Furthermore, the Internet of Things (IoT) is an emerging process of fetching data by wearing some sensors and devices. Through these intelligent elements, the healthcare data can be shared and enriched with the data quality for effective healthcare services. Nevertheless, this connection becomes vulnerable to data privacy and security because the data management relies on open service networks. In order to overcome these effects, a novel IoT-derived blockchain model is proposed for storing and authenticating purposes. Initially, medical data are collected from different benchmark sources and subjected to the data encryption phase. Then, encryption is performed with the help of Adaptive Elliptical Curve Cryptography and Rivest-Shamir-Adleman (A-ECC-RSA), where the key optimization is done by utilizing Enhanced Sand Cat Swarm Optimization (ESCSO). Further, encrypted data are stored in the blockchain and finally authentication access is performed with the help of Adaptive Bidirectional Long Short-Term Memory (ABiLSTM) using biometric information, where the BiLSTM parameters are optimally selected by developed ESCSO. Thus, the developed model will attain an effective security rate than conventional models that can be established through several experiments on the proposed model.

Evaluation of the performance of the compost plant for optimal operational evaluation.

Composting is a municipal solid waste management strategy that can reduce municipal waste mixtures to diminish the volume and weight of disposable materials, decrease leachate emissions, recycle resources, and reduce the costs required for waste disposal. Today, the wave of consumerism in the current world and the advancement of technology has led to producing diversified waste around the globe, so the growth rate of all countries, including Iran, is increasing dramatically. This research was studied from a practical point of view for the first time in Karaj. We used a method based on a meta-heuristic algorithm to analyze the data. The results of these studies show that units that are part of large industries have a greater environmental approach than other smaller food industries because most of the smaller food industries have environmental experts or other findings; an environmental group is considered costly and troublesome. Therefore, the present research focuses on the thorough assessment of a compost plant's operational performance to achieve maximum efficiency and effectiveness. Technical, environmental, and economic viewpoints are all included in the assessment's multidimensional approach. Moreover, this case study of the Karaj compost factor summarizes the effectiveness of the method based on a meta-heuristic algorithm adopted for waste management. Therefore, it can be said that the root of the existing problems concerning the proper management of food industry waste in Karaj is due to the lack of environmental experts in the industry.

Pendampingan Pengemasan Produk Agar Lebih Menarik Untuk Menambah Daya Jual Pada Usaha Pabrik Tahu Pak Sugeng Sungai Hitam, Bengkulu Tengah

To meet consumer needs, the packaging of a food product is an important part of the food industry. Apart from being a container or wrapper for food, packaging also has a function to protect food. However, good packaging still prioritizes its function, namely to protect the product so that it is not only attractive in terms of appearance but also able to maintain the quality of the product. Tofu is one type of protein source food made from soybeans. Tofu is also a processed soybean product that has a fairly broad market segment. Until now, tofu does not have packaging that is suitable for packaging tofu, tofu traders usually sell their tofu using plastic bags. To be able to get the packaging according to the wishes of customers or the public to be more attractive or different from other tofu sellers, the packaging that is suitable for wrapping tofu is to use a box and also to make it more attractive it can be added with a logo so that the product is easily recognized by the public or customers. So using a method by providing direct counseling at the factory location by providing exposure to how to improve the quality of the packaging of tofu products produced. The results of this community service activity propose three aspects of solutions, namely paying attention to the quality of packaging related to the cleanliness of the tofu sold, maintaining the durability of the tofu sold with good packaging, adding product identity to the packaging to increase the selling value of the product

Transition Supply Chain 4.0 to Supply Chain 5.0: Innovations of Industry 5.0 Technologies Toward Smart Supply Chain Partners


 Industry 4.0 provides businesses with the tools they need to meet difficulties such as fluctuating demand and unstable markets. Additionally, Industry 4.0 refers to the connectivity of computers, various materials, and artificial intelligence (AI) with minimum involvement from humans in the decision-making process. Although Industry 4.0 has a significant potential for the expansion of the industrial sector, it faces several hurdles, including integration of technology, problems with human resources, problems with supply chains, and data security concerns. The human-centered approach that Industry 5.0 took meant that many of the problems that plagued Industry 4.0 could finally be solved. In the previous generation, known as Industry 4.0, the emphasis was placed on scalability and volume of production; however, in the next generation, known as Industry 5.0, human centricity is the key focus. We have included a list of the different technical improvements that are part of Industry 5.0 as well as the technological advancements that are part of Industry 4.0. The problems that plagued Industry 4.0 have been addressed head-on in Industry 5.0, including concerns over data protection and the integration of new technologies. This study would serve as a foundation for academics and companies to learn about the technologies of Industry 4.0, their obstacles, the technical advancements, and the methods by which Industry 5.0 addressed the issues of Industry 4.0. Also, we constructed an appraiser model to appraise manufacturers as partners in the supply chain. We selected manufacturers that are interested in deploying Industry 5.0 in their operations. Analytic Hierarchy Process (AHP) and Complex Proportional Assessment (COPRAS) are contributed to construct an appraiser model under the authority of uncertainty theory entailed in single value neutrosophic sets (SVNSs) to support AHP and COPRAS in ambiguity situations.

India’s Union Budget 2023—Healthcare allocation leaves much to be desired

ABSTRACT Healthcare is an imperative sector for India, considering the huge population in the country and the sub-par health facilities available to a majority of the country’s people. In this scenario, and given the havoc wreaked by the COVID-19 pandemic, owing to India’s lack of optimal healthcare infrastructure, a large part of the healthcare industry expected that India’s Union Budget 2023 would provide significant outlays for the sector. However, with the budgetary outlay for healthcare coming in at the 10th position from the top, this hope was severely dashed, leading to questions about the country’s interest in providing healthcare facilities to its people. This article discusses the various facets of the Union Budget, and the lack of focus on healthcare, while also delineating the reasons why budgetary focus on healthcare is imperative for a developing country like India. It has also brought forth potential solutions, such as a public–private partnership in healthcare, which could ensure increased access to healthcare, improved quality of healthcare, reduced costs, and enhanced innovation and research.