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COVID-19 has shown that risk is not one-dimensional. The influence of Covid-19 on risks arising due to breaches by Third-party and nth party ecosystem on organizations has been quick with wide range of consequences like reputational and financial losses. Although automation has been around and being implemented for quite some time now, there is a pressing need to incorporate intelligent decision-making systems in the outdated automated processes and practices that used rule-based manual risk assessments. The improvements in the field of Artificial Intelligence, Robotic Process Automation and related technologies have given rise to intelligent process automation, which can take advantage of these underlying technologies to effectively provision end to end actions on the risks arising due to third-parties. In academic research domain this area has remained under-focused. Hence this study tries to address this gap by introducing how intelligent process automation can aid third party risk management processes and proposes a conceptual model for understanding system can be put to use. Key challenges and opportunities are also provided in this qualitative research paper based on narrative literature approach. The study provides implications to developers for designing and developing Intelligent process automation tools for assessing risks associated with third-parties, it helps academicians to explore latest developments and technologies in the automation domain and to the employees of the existing organizations as it will help gain perspective of the underlying technologies involved in IPA and TPRM. [ABSTRACT FROM AUTHOR]

There is need to check the durability and reliability of automotive vehicle components and bodies before they are passed for the final manufacturing activities. This paper illustrates design and development of a PLC-based controller for pneumatic lift gate slam platform which is utilized to check structural and functional integrity of vehicle lift gate components. An overview has been carried out for different components whose functionality can be checked using this platform. It also explains pneumatic circuit for developing lift gate slam platform. The proposed automation system involves sequential control of all the processes based on PLC carried out for pneumatic lift gate slam platform. Measurement of door opening and closing velocity, carryout required number of continuous cycle. The Micrologix 1400 Series-A based control system from Allen-Bradley loaded with Ladder logic program has been based on RS-Logix 500 for assessment of proposed control system. The PLC program was emulated RS-Logix emulate-500. Functioning of pneumatic circuit of lift slam platform was simulated on FluidSIM-P. [ABSTRACT FROM AUTHOR]

The "Vigilance 360" system represents a pivotal advancement in security measures for both educational institutions and diverse organizations. This survey paper examines the impact of implementing this system, which prioritizes the automation of real-time event detection at entrance gates to preemptively mitigate potential threats. By doing so, it establishes a fortified and secure campus environment, ensuring the safety of all stakeholders involved. The system leverages state-of-the-art computer vision techniques and deep learning models to attain a remarkable level of accuracy and precision in threat identification. Moreover, it excels in rapid data processing, enabling seamless automation of real-time performance. This paper highlights the significance of Vigilance 360 in revolutionizing security practices, emphasizing its potential to significantly reduce response times and enhance overall security readiness. The integration of cutting-edge technologies demonstrates a forward-thinking approach in safeguarding educational and organizational spaces, underscoring the potential for widespread adoption in similar contexts. It provides a thorough understanding of its capabilities, showcasing its effectiveness as an automized proactive security solution. The findings presented herein underscore the critical importance of embracing such advanced systems in fortifying security measures, ultimately creating safer environments for all stakeholders involved. [ABSTRACT FROM AUTHOR]

Automation in purchase process is todays need in every sector and specially for purchasing daily need products. This paper reviews the current trends in automation and precision of billing procedures. In this paper, an Intelligent Billing System that makes use of object detection algorithms are studied. The primary objective is to compare and contrast two well-known object detection algorithms:"Convolutional Neural Networks (CNN) and Cascade Region-based Convolutional Neural Networks (Cascade R-CNN)". The CNN and Cascade R-CNN are used in an object detection framework that is based on the "You Only Look Once (YOLO) model".The algorithms, advantages, limitations and their level of accuracy evaluated for the CNN and Cascade R-CNN algorithms' when combined with the YOLO model. [ABSTRACT FROM AUTHOR]

To design an Industrial Monitoring-IOT base system that automatically updates the details and control by using GSM-IOT communication network. Now a days we have to check the industrial machine working conditions, oil level, temperature level, voltage level, load level, motor speed, etc. Our work helps to provide the information about industrial machine automatically by using GSM-IOT. The above parameters are set and reset by using mobile phone. This will help to avoid the machine damage. In this paper Motor rpm sensor sense the speed of the motor. If the motor speed is exceed the limited level sensor send the information to the micro controller. Oil level sensor sense the oil level in the oil tank. Oil level is very low sensor send the information to the controller. Temperature sensor sense the heat of the machine, if any unwanted heat is generated temperature sensor send the information to the controller. Oil leakage sensor sense if any oil leakage occurs and send that information to the controller. Motor driver drive the DC motor. LCD display used to display the monitored information. For 3 phase motor Vibration sensor used to sense the vibration of the machine. 3-phase angle sensing is used to sense the mismatching connection. Coolant fan used for reduce the temperature. If the temperature is high coolant fan will on. Voltage sensing used to sense the voltage level and load sensing used to sense the load level whether load is high or not. Both are selected by keypad or by using GSM device. Micro-controller collects all the information and send that information to the destination throughGSM-IOT. [ABSTRACT FROM AUTHOR]

This paper proposes an original algorithm for automatic resolution of a multitude of conflicts in real airspace, the code and the calculation method being explained in detail in this paper. In this proposed new form, the generated algorithm also takes into account the problems that are previously detected and thus proposes a method to solve all these problems that inevitably appeared in the scientific research process. The problem of automating Air Traffic Control is an extremely important problem, which is continuously studied, because it offers a concrete solution in the conditions of exponential growth of air traffic, an increase that is estimated for the next 30 years as a pressing problem that requires early resolution. A fully automated solution will thus increase air efficiency while increasing air traffic safety, while certainly reducing the amount of effort for today's Air Traffic Controllers. The new form of implementation of this algorithm is expected to be much faster and more efficient in successfully resolving all the multitude of air conflicts. Also, the new algorithm can resolve existing conflicts between aircraft and if there is no solution that is strictly based on changing the flight speed of the aircraft considered. [ABSTRACT FROM AUTHOR]

The paper considers the reliability issues of protective relay and automation devices. This paper offers an architecture of the model for analyzing fuzzy logic based protective relay and automation system. The architecture of the model consists of the following components: database; technical accounting data; fuzzyfication; fuzzy inference tools; rule base; defuzzyfication; conclusions on the analysis of functioning of protective relay and automation device. The input data of the fuzzy logic model are determined: the key indicator for assessing the proper functioning of the protective relay and automation device К1; indicator of the overall reliability of protective relay and automation device R; indicator evaluating the dependability D; indicator evaluating the security of relay protection and automation devices S; indicators specifying the average number of activations of relay protection devices or functions; and evaluation data for the proper and improper operation of relay protection devices. [ABSTRACT FROM AUTHOR]

As one of the important automotive interior and exterior decorative parts, the quality of the automobile lampshade directly affects the lighting effect of the lamp. In this paper, aiming at the problems of complex manual operation in the original production line of automobile lampshade in a company, the intelligent transformation was carried out, and a design scheme of automatic production line control system of automobile lampshade was proposed. Firstly, the production status and existing problems of the original manual production line was analyzed, and the production process of the production line after automatic transformation was put forward. Determining the production process of the production line after the intelligent transformation, the overall design of the mechanical scheme and the control scheme were carried out. [ABSTRACT FROM AUTHOR]

Based on the needs of users to produce automotive skylight frames, combined with the field environment, the overall scheme of the automatic production line was put forward in this paper. Based on the demand to produce the skylight frame, the existing production line of the skylight frame was improved, and the injection molding process of the skylight frame was completed by industrial robots instead of human beings. Then, the overall layout design of the automatic production line was carried out according to the process flow. According to the control function and requirements of the production line, the control scheme of signal transmission through industrial Ethernet and hardwiring technology is determined with PLC as the main control equipment. Then simulation and debugging were carried out on the automatic system of injection molding of the skylight frame. [ABSTRACT FROM AUTHOR]

This scientific paper examines the integration of robotic automation in production and its potential benefits for businesses. The paper presents the results of a study that analyzed the impact of robotic automation on productivity, product quality, and cost savings for three different production lines. The study found that the implementation of robotic automation systems led to significant improvements in productivity and cost savings, as well as a decrease in defect rates. However, the study also highlights important factors that must be considered when deciding whether to integrate robotic automation into production, including the initial investment cost, the need for skilled workers, and the potential impact on workers. The paper concludes that while the integration of robotic automation in production is a complex issue that requires careful consideration, businesses that are able to successfully integrate these systems into their production processes can gain a competitive advantage in the marketplace, leading to increased profitability and long-term sustainability, but proper planning and implementation are key to ensuring success. for implementation. [ABSTRACT FROM AUTHOR]

Industry 4.0 is transforming the manufacturing industry through the integration of advanced technologies such as automation and information technology. This paper provides a comprehensive review of the impact of Industry 4.0 on automation and information technology in industry. It examines the potential benefits of Industry 4.0, including improved efficiency, productivity, flexibility, and customization, as well as the challenges businesses face in implementing these technologies. The paper discusses the need for careful planning, collaboration, and investment to ensure that Industry 4.0 investments align with business goals and provide a return on investment. Also, this paper highlights the need to prioritize cyber security and training to mitigate the risks associated with integrating advanced technologies. It identifies the importance of reskilling and upskilling the workforce to prepare for new roles and responsibilities and highlights the need to prioritize cybersecurity in Industry 4.0 strategies. The paper highlights the opportunities that Industry 4.0 offers businesses to create new business models and transform their manufacturing operations. The use of advanced technologies such as 3D printing, artificial intelligence and the Internet of Things enables businesses to create products on demand and tailor them to specific customer needs. This can increase customer satisfaction and create new business opportunities. Alongside this, this paper presents an analysis of the impact of Industry 4.0 on various industries and the growth in adoption of Industry 4.0 technologies over time. [ABSTRACT FROM AUTHOR]

As technology is an integral part of today's information-driven society, the computer is a bridge between technology and an individual. Physically handicapped people are lagging when it comes to using computers with traditional input devices. Implementing the concept of Human-Computer- Interface (HCI), an eye-tracking control system is introduced in this paper. The proposed system supposes to work as a replacement for traditional input devices, enabling physically handicapped people to use computers without any need for additional infrastructure. This system controls the mouse pointer by tracking and estimating user eye movement with the help of a web camera. The steps involved are, the user's eye movement estimation with the help of the camera, controlling the movement of the mouse cursor, detecting the user's eye blink, translating it into the click operation. OpenCV is used to capture live video with the help of a web camera. Dlib is used to detect face landmarks. [ABSTRACT FROM AUTHOR]

This paper gives the idea of solving some of the problems faced by farmers. The population rate of the world is growing rapidly and will double in the coming decades and the need of food is also increasing simultaneously. To meet this rapid growth in demand for food, automation in agriculture is the best solution. The aim of this paper is to design and develop an automated system to monitor the various conditions of soil and moisture on the crops, and the proper supply of water, which affects the crops [5]. Such a system will contain sensors, a pump and a device called a humidifier, and various advanced techniques like IoT, machine learning, and artificial intelligence. The technical field is racing to provide more optimum solutions. The incorporation of IoT, along with cloud computing, big data analytics, and wireless sensor networks can provide enough scope to predicrocess, analyze situations and improve activities in a real-time situation. Green House is one of the best solutions as the crops can be grown in a controlled climate without the natural environmental conditions. In the last few decades there has been a huge advancement in technology for agriculture, with the help of technology we can help farmers for increasing their rate of yielding. With this, we can overcome the major problems of farmers. This small processor-based unit can be used to control anything from a fan, air-conditioner, humidifier, and watering system from 4 relay outputs. A temperature and humidity range can be set to control relay outputs. The main focus of this paper is to implement the Internet of Things (IoT) in the monitoring of humidity, soil condition, temperature, supply of water to the field, level of water, environmental condition, etc. The IoT-based Smart agriculture System being planned via this paper is integrated with different Sensors. [ABSTRACT FROM AUTHOR]

This paper presented various types of automation techniques for home appliances. The techniques; Bluetooth based controller, Infrared signals based controller, GSM based controller, and Zigbee based controller have been discussed and compared based on the different parameters viz. connectivity, controller, user interface, application area and the merits of the respective technique. The detailed comparison has been included in this paper so that the customers could choose their very own choice of generation to build domestic-automatic device. [ABSTRACT FROM AUTHOR]

Nowadays application deployment on cluster is organized with help of Kubernetes orchestration system. There is a Container storage interface (CSI), that provides storage integration for applications deployed in it. Bare-metal CSI is one of the most powerful implementations for local disk management, but it's not free from disadvantages. To improve Bare-metal CSI the paper considers approach for volume expansion automation of local disk as well as the test automation approach for its implementation. In addition, the paper contains overview of existing disk automation managements approaches in Kubernetes like Kind, minikube and description of proposed new approach for testing implementation in Bare-metal CSI. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) and Automation innovation are growing at a steady rate that are changing organizations and bringing efficiency and adding to the economic development. The utilization of AI and robotization will likewise help improve different areas from wellbeing to horticulture. Furthermore, utilizing Automation and Artificial Intelligence would, follow the schedule, transform the idea of work and the working environment itself. For sure, machines will actually do large numbers of the undertakings typically done by people, just as supplement manual work and play out certain errands that an individual wouldn't have the option to do. Consequently, AI and mechanization have a great deal to bring to organizations and enterprises worldwide. This research paper comes up with a rundown through the blooming of Artificial Intelligence and Automation. We explored the existing potentiality of cognitive emerging technologies. This paper outlines the discussion about artificial intelligence and automation technologies and an overview of the applications. [ABSTRACT FROM AUTHOR]

The paper considers the use of synchronized phasor measurement technology to improve control, monitoring, and protection systems of distribution networks. The authors propose several areas of SPM application for the automation of distribution networks. It is proposed to implement several substation automation subsystems based on a single software and technical structure. SPM can be used to create a power transformer monitoring system. Measurement of current and voltage synchrophasors allows implementing control of electromagnetic parameters of the transformer. SPM technology can also be used to automate cable and overhead line networks. The paper presents the results of physical simulation of the power transformer monitoring system, technical solutions for automation of distribution networks, results of the pilot operation. [ABSTRACT FROM AUTHOR]

The paper presents development of an automated system for analysis, modeling, and decision-making for metallurgical production. When operating information systems at various levels of automation, there is a problem of system integration at the level of information exchange to support timely decision-making. Problem solutions are aimed at implementing a typical business process for changing (improving) the technological, logistic, and organizational processes of the enterprise. The paper describes a scheme for integrating the processes of metallurgical production improving based on the use of a multi-agent approach in development of modules of the automated system. The use of the multi-agent approach allows solving the problem of automating the processes of approval and decision-making through the communication of hybrid agents implementing the functionality of individual modules of the system. [ABSTRACT FROM AUTHOR]

The original automobile door trim strip production line of a company is a manual production line, which generally has the problems of poor operating environment, high labor intensity and low production efficiency. In this paper, an automatic production line of automobile door trim strip was designed, which used Automated Guided Vehicle (AGV) for material transportation and connects each station in the production line by linear manipulator. Through the analysis of production status and design principles, a process improvement scheme is proposed for the current production line, the design of the mechanical system was carried out. [ABSTRACT FROM AUTHOR]

This paper summarizes findings from a small, mixed-method research study examining industry perspectives on the potential for new forms of automation to invigorate the concentrating solar power (CSP) industry. In Fall 2021, the Solar Energy Technologies Office (SETO) of the United States Department of Energy (DOE) funded Sandia National Laboratories to elicit industry stakeholder perspectives on the potential role of automated systems in CSP operations. We interviewed eleven CSP professionals from five countries, using a combination of structured and open comment response modes. Respondents indicated a preference for automated systems that support heliostat manufacturing and installation, calibration, and responsiveness to shifting weather conditions. This pilot study demonstrates the importance of engaging industry stakeholders in discussions of technology research and development, to promote adoptable, useful innovation. [ABSTRACT FROM AUTHOR]

The research paper focuses on developing a custom machine learning model using Google's Teachable Machine for the classification of palm fruit images as healthy or rotten conditions. The study demonstrates successful integration of the customized model with a Raspberry Pi-based system for real-time object recognition. It achieved a remarkable 100% accuracy rate on a dedicated dataset for the palm-fruit classification. The seamless integration of the model allowed for live streaming image analysis, enabling the system to convey specific messages based on the identified fruit condition. Moreover, the work showcases the potential of custom machine learning models for real-time automation and decision-making applications. [ABSTRACT FROM AUTHOR]

This research paper outlines a thorough methodology for a productive database management system for blood banks and incorporating with next-gen technologies such as cloud, CRM and automating workflow and receiving response through IOT devices such as ALEXA. The database is the most practical place for caching data, and it is the best tool for creating, maintaining, updating, and data from many perspectives. A well-organized blood bank database offers countless advantages, including increased productivity and time savings. In an effort to close this gap, we have Modelled a well –organized database. Additionally, we have created a tool that serves as a reminder. The main cloud services offered by Amazon, including IAM, S3, DYNAMODB, EC2, LAMBDA, API, and Cloud Watch, will be used in this project. IAM (the IAM service is used for authentication and security), S3 (it is a scalable cloud storage bucket that aids in storing the data received in the end server), DYNAMODB (is used as a database service), EC2 (used for implementing Linux instances), API (application programme interface), and CLOUD WATCH are some examples of other services that are used (it used for viewing the history logs). Additionally to automate workflow/process through voice command or get specific details, In this project let's consider if we want to get any information regarding the donor details, blood group details, it can be received as a voice output through our digital IOT device/personal assistant such as Alexa. [ABSTRACT FROM AUTHOR]

In the era of automation and advanced mechanism there are some of the processes which needs to be updated for the small vendors. Jewellery polishing machine has not been automated for the small vendors. Still workers are doing processes which deals with hazardous chemical and also it has demerit of time consuming and less efficiency. It directly impacts to health and overall performance of small vendor worker. This paper focus on design and development of prototype model of Jewellery polishing machine based on dual motor movement of drums in opposite direction and automatic sequence of Jewellery w.r.t digital servo motor. The prototype model minimizes the exposure of hazardous chemical contact to workers and also reduce the polishing time, additionally we have also incorporated brushing and buffing features to this prototype. Based on the requirement of customer, we can enhance the capability and feature of machine. Such a small prototype machine can be used more effective to polish the Jewellery at small vendor end. [ABSTRACT FROM AUTHOR]

In recent years, the Internet of Things (IoT) has emerged as a popular and emerging technology that has impacted various aspects of our lives with the advancement of technology, an increasing number of fields have started to apply IoT technology to improve efficiency, and automation, reduce costs, and enhance user experiences. This paper investigates the applications of IoT in the manufacturing, healthcare, and smart home sectors, as well as the key technologies involved in IoT applications, including sensor technology, wireless communication, the cloud, big data analytics, and AI. These technologies provide a foundation and support for the implementation of IoT applications. We also discuss the technical and societal challenges IoT technology faces in its development, such as security, privacy, and the acceptance of new technologies by different groups. [ABSTRACT FROM AUTHOR]

In the paper, we consider the idea of developing an intelligent and customizable automated expert system for maintaining text and voice dialogs with human in the real time. This system can be used in almost any subject area. It can be used to create an automated robot–operator of a call center or smart chat bots, assistants, and so on. Moreover, such system may be used in some specific subject areas related with different kinds of cross system integrations. The proposed system includes high loaded micro-services using for the speech recognition, voice preprocessing, text post-processing, and decision making. Presented study describes application of this system to providing interaction elements for the third-party services. [ABSTRACT FROM AUTHOR]

This paper will discuss the automation of Terra-MODIS 8-day data processing to support the availability of Analysis Ready Data (ARD). Terra-MODIS (MOD09A1) data covering the territory of Indonesia used in this processing will change the projection and tile size. The data conversion, mosaic, and tilling automation software used in this processing were created using GDAL and Strawberry Perl. The automation of the data conversion process takes 2 minutes, while mosaic and tilling take 1 minute. The result of this processing is data with a geographic projection (latitude, longitude) WGS 84, 5x5 degrees tile size, and 11Kb file size. [ABSTRACT FROM AUTHOR]

Batik, the art and craft of drawing patterns on fabric, is one of Indonesia's famous traditions that is still gaining popularity nowadays. Typically, crafting batik, especially hand-drawn batik, requires a significant amount of time to manufacture. Therefore, this paper proposes a machine that shortens the time to produce batik, from drawing the pattern to coloring the fabric. The proposed design employs the CNC concept to replace the hand-drawn to machine-drawn batik. Electric canting is used to replace the traditional canting, where the wax can be fed in continuously. A conveyor and spray nozzles are added to automated the coloring process right after the fabric has been pattern drawn. Coloring agents, such as remasol, indigosol, and naphtol, were explored to provide efficient coloring and good results. The initial experiment of the design prototype showed that the drawn pattern has a 0.3333% error at the lowest from the original. Remasol gave a consistent color to the fabric with 5gr+5gr/220mL of concentration of coloring agent with its fixator to water. The prototype demonstrated that the Batik CNC machine could rapidly assist in manufacturing batik. [ABSTRACT FROM AUTHOR]

This paper highlights the critical technologies required for industry 4.0, which emphasizes the PLM domain. PLM technology plays a significant role in industry 4.0. The techniques include Internet of Service (IOS), Cloud computing, Robotics and Automation, Big data analytics, Sensors, Industrial Internet of Things (IIoT), etc. These trend-setting technologies are nowadays related to the companies applying PLM, SAP and PDM etc. This industry 4.0 technologies/tools lead an enterprise into a new era called digitalization and intelligent production, reducing time, resources, and human /labour and increasing efficiency, quality, and reliability. Even the PLM platform helps in collaborative works, data management, program and project management, and helps achieve high industrial performance. [ABSTRACT FROM AUTHOR]

The paper analyzes the issue of increasing profitability and economic efficiency in the automation and hyper-automation of production. The concepts of automation and hyperautomation within the framework of production are compared, and their advantages are determined. The influence of these processes on the economic efficiency of production is considered. [ABSTRACT FROM AUTHOR]

As the industry of construction, architecture and engineering adopts the digital era, value-added sensor network monitoring, simulation, engineering system optimization, and semantic modelling impact the design, construction, and operation of constructed assets. Such information-intensive models not only increase the value chain's effectiveness but further reduce the effects on the life-cycle of buildings. The industry as a whole has a number of problems that stem from the use of outdated methods, such as pollution and wasteful energy consumption. The aim of this research is to evaluate the significance of automation in the building trade by utilising several cutting-edge technologies. The paper examines the various applications of BIM in construction industry and identifies its limitations and prerequisites, laying the groundwork for ideas like the Construction Digital Twin, automation in the construction sector, and the integration of AI with IoT. Then, an outline of this notion is provided in terms of the underlying issues of BIM, identification of the potential to integrate automation in construction industry. [ABSTRACT FROM AUTHOR]

Nowadays a significant share of the manufacturing and industrial processes is automated by classic control systems that need to be upgraded in order to meet the new requirements for digitalization and optimization. In this paper are reviewed the main ideas and principles of the concept "Industry 4.0" and is defined a basic set of technical, organizational and economic measures to be followed in the process of the upgrade of existing control systems to fulfill the requirements of the concept. Due to the fact that the upgrade in most of the cases needs customized approach, all proposed steps need to be reviewed as a minimum required and in some of the cases some additional steps might be needed due to the current system specifics. [ABSTRACT FROM AUTHOR]

Conventional approaches do not have the real time monitoring mechanism to detect the abnormal conditions in the industrial processes. The existing industrial processes in conventional way are not safe because of lack of monitoring systems. A considerable enhancement in chemical industries in recent years through automation increases the attention towards the advanced monitoring of systems. Real time monitoring and automation systems are capable of reducing the time to market, effectiveness and availability within the plant, as well as reducing plant costs. Every chemical plant across the globe needs to equipped with the various solutions that exist in terms of commissioning as well as taking advantage of automation services when and where possible. The automation systems in industry communicated with every equipment and instrument, much like a nervous system that touches every muscle and receptor in the body. In order to improve the performance, this paper proposes the automation solution and strategy for a liquid storage terminal. [ABSTRACT FROM AUTHOR]

Digital twin is one of the approaches to transform classical and traditional manufacturing to smart manufacturing and Industry Revolution 4.0, which received much attention in the manufacturing domain. Digital twin in manufacturing offers many advantages and solutions include close-loop feedback system, continuous real-time monitoring, or data acquisition through establishing a cyber-physical integration. The low cost and flexibility implementation of Programmable Logic Controller (PLC) enable the technology to become one of the most versatile tools and essential equipment for the automation industry today. However, PLC itself may not be suitable for real-time monitoring and control due to the characteristic of ladder diagram and normally it requires to work with extra devices to achieve the mentioned performance. The main objective of this paper is to develop a Graphic User Interface (GUI) as the cyber entity for real-monitoring and controlling towards the manufacturing process. The interaction between physical sensors, ladder diagram and GUI established cyber-physical integration system and provide engineers a real-time friendly approach to monitor and control the production. The ladder diagram and GUI control system are established by using CX-ONE (CX-Programmer and CX-Designer) together with OMRON PLC CP1L-E model training kits to prototyping the manufacturing cell. The result showed that the GUI allow operator to monitor as well as to control the real-time production. [ABSTRACT FROM AUTHOR]

The present paper has been written considering the robot interference in the field the mechanical forging. The robot interference in the forging is to related with the replacement of the processes which are earlier done by the human interaction. The main concepts behind the use of the robots in the forging operation is that an operator cannot be able to produce two products with the same proficiency and products have more or less differences. The robots are integrated with the automation techniques to pass the command to proceed the desired operation over the specimen. The advantages of the robotic and automation integration are to boost the production as well as the productivity in addition to enhanced the quality of the product. The forging operation is one of the best operation to improve the physical and mechanical of the material and all the product subjected to the heavy stress are preferred to manufacturing through this process only. [ABSTRACT FROM AUTHOR]

The full adoption of Industry 4.0, especially in the manufacturing sector, is undoubtedly challenging because the organisation must consider numerous factors. It is important to note that to transform to Industry 4.0, the organisation should first focus on the human component of their system. Surveys have shown that unsuccessful and failed attempts at adopting Industry 4.0 are due to the lack of digital culture within the organisation. Hence, this paper examines the established integrated model of the Technology Acceptance Model (TAM) and Technology Readiness Index (TRI) to evaluate, analyse, and predict the behavioural intention to use industrial automation technology in the manufacturing sector. The outcomes of this evaluation are expected to contribute towards a better understanding of Industry 4.0 technology acceptance among the organisation and to ensure smooth adoption of the system in their manufacturing facility. [ABSTRACT FROM AUTHOR]

This paper investigates integrating model representation descriptions in the form of charts and specifications at the stage of automated systems infological modeling, developed in order to solve design tasks on the methodology for automating intellectual labor (MAIT). In the process of creating the automated system on the basis of MAIT there were developed the following model representations: initial, conceptual, infological and datalogical. The infological model representation is invariant to the software and hardware environment and implementation means. The description of infological model representation includes the following forms (specifications) and charts: for a static component – P1 and P2, the chart of infological structure; for a dynamic component – P3 and P4, the chart depicting a system of subject accesses; for a functional component – P5 and P6, the chart depicting a system of subject manipulations; P8 and the matrix chart showing the model as a whole, including static, functional and dynamic components coordination. The features of building diagrams and the formation of specifications when creating an infological structure are investigated, on the basis of which a method and technique for integrating descriptions of static components for model-projects of automated systems that perform computational tasks in the design of mechanical engineering objects are determined. The article provides the integration of descriptions in the form of diagrams and specifications for the static components of infological model views. [ABSTRACT FROM AUTHOR]

This paper developed a pick and place robot automation module for learning industrial motion, web server GUI, and vision sensor using Kalman Filter. In this system, the robot can pick up, place, distinguish the shape of an object, and predict the movement of the object container, and can also be controlled or monitored via a web server. This development is applied to the Mitsubishi arm robot with the type RV 2SDB 6 Degree of Freedom (DOF) which is equipped with a vision sensor. To detect the color and shape of objects using a vision sensor. To predict the movement when placing objects in a moving container using the Kalman Filter method. With the results obtained is a system on the robotic arm that can sort, pick up, place in moving containers, which can be controlled and monitored via a local web server. For object detection using a vision sensor with a Kalman Filter, there are 2 objects whose error is above 15% on oval and hexagon objects. On pick and place process, the robot so that it can controlled and monitored via a web server using TCP/IP protocol for communication. With a percentage of success reaching 96% and a percentage of failure of 4% on pick and place process. [ABSTRACT FROM AUTHOR]

The current article provides a thorough review with respect to the technologies used in designing and developing automated garage doors. Herein, technologies such as IOT, microcontrollers and RFID are reviewed. The paper discusses different methods and devices used in cohesion with these technologies to make an efficient automated garage door that is efficient and secure. The article highlights that in the present date IOT is most widely used technology that provide easy and secure method for automation of garage doors. At the same time microcontroller and RFID based technologies are secure, however, these tend to be static in nature. [ABSTRACT FROM AUTHOR]

Marketing is any activity undertaken by the companies to gain more exposure which eventually leads to increased sales and an increase in the customer base. With the advent of technology and its adoption in various fields, marketing is also one of them. Marketing 4.0 or Marketing Automation is a result of this advancement in technology. Marketing 4.0/Marketing Automation allows different companies to implement their marketing strategies automatically with hardly any human interaction. This has led to many companies adopting the new Marketing Automation platforms as it helps them handle thousands and millions of customers with less effort and ease of implementation. Although it has many benefits like saving time, helps in lead generation and nurturing, helping in customizing the customer journey, helping build a 360- degree view of the customers and increase sales, every company must adopt it? In this paper, we've discussed the various factors that the company needs to consider before deciding if they need marketing automation or not. If they do, what are the set of procedures they need to follow for successful implementation? We also look at some case studies, which will allow us to gain insight into how marketing automation has affected the different parameters of marketing like lead generation and sales. [ABSTRACT FROM AUTHOR]

Day/Night Band (DNB) is one of products provided by National Oceanic and Atmospheric Administration (NOAA) Joint Polar Satellite System (JPSS) series satellite data. It comes from Visible Infrared Imaging Radiometer Suite (VIIRS) sensor that measure visible and near-infrared light quantitatively. Nighttime monitoring from DNB contains information based on low-light visible source emitted by earth surface. By utilizing that source, DNB imagery shows earth condition in nighttime despite its limitation. In this paper, DNB imagery is automatically generated in near-real time to be discussed about its potential and information they carried. The automation system to generate DNB products is proposed by using open-source software called Community Satellite Processing Package (CSPP) Polar2Grid Version 2.3. CSPP Polar2Grid works as main processing system. VIIRS SDR (Sensor Data Records) data is required for the input with.h5 file format. The output of DNB imagery will be in GEOTIFF (.tiff) file format. The whole automation system consists of some modules to look for the newest data available, process it and save it in the storage. Dynamic DNB shows better visualization of the night light than the other type of DNB. Visible night displayed in dynamic DNB imagery clearly shows the existence of activities using light and electricity during nighttime. It could be the street lighting, residential, industry, ship lighting and etc. Future research such as power consumption, fisheries activity or even socio-economy could possibly be equipped by DNB imagery as complementary data. [ABSTRACT FROM AUTHOR]

In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes mean tardiness (lateness of due date) with utilizing maximum resources. Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the both completion time and execution time with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors. [ABSTRACT FROM AUTHOR]

As we know the importance of machining operation in manufacturing industries and hence the technologies are improving and updating day by day. So, the manufacturer is depending on these new technologies like non-conventional machining operations (NCMOs), computer numeric control Machines (CNCs) and others. Basically, the present work is based on the selection of NCMOs among the different operations available from a set of operation for machining purpose. For the selection purpose of NCMO, the integrated form of MCDM techniques is used the first method adopted is Analytical Hierarchy Process (AHP) the reason for adopting this method is to calculate the weightage of each criterion from the selected set of criteria given the decision makers. The second technique used in paper is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) the objective of this method is to determine the raking of the alternatives from the availability. With the help of illustrative example, the selected NCMO are AFM, AJM, EBM, EDM, USM, and WJM from which one NCMO to be selected for machining operation. For conducting the same there are six different criteria were selected after implementation of integrated AHP and TOPSIS technique the best and worst operations is identified. [ABSTRACT FROM AUTHOR]

The relevance of the study is due to the increasing number of cyber-attacks on management automation systems, among which computer sabotage occupies a special place. In this class of cybercrime, risk dynamics as the probability of occurrence of damages of a certain value are studied. Risk dynamics is tracked over the past five years for the most developed countries and globally. It is shown that both the frequency and the severity of computer sabotage, despite the pandemic, are steadily increasing. This calls for international and national action. The findings of this paper prove that computer crime of the "computer sabotage" type should be seen as a separate type of computer crime, with a tendency to grow. Today it has become a cross-border phenomenon, and combating it only within national territories will not be as effective as it should be. [ABSTRACT FROM AUTHOR]

Monitoring the psychophysiological state of a human operator in the control process is one of the fundamental factors for efficient and trouble-free production. Emerging fatigue, excessive tension reduces the operator productivity. Therefore in the present paper the task of interpreting characteristics (spatial-temporal characteristics) is considered to determine the state of fatigue of a human operator by micromovements of his head. The Natural Point trackIR device was used as a data entry tool. The obtained data of micromovements of the human operator's head was converted into a spectral form (Fourier transform). The spectral data obtained were classified using a feedforward neural network. [ABSTRACT FROM AUTHOR]

The paper discusses a topical issue of increasing Nuclear Power Plant operation efficiency. Given an increasing with each new project number of data signals transferred to an operator, the need of a timely and qualitative analysis of incoming data before choosing an optimal switchover variant increases as well. Proper evaluation of current processes and ascertaining the capability for parallel operations demands high-qualification personnel and substantial time expenditure, which undermine existing automation efforts in functional group control, and operations are usually performed sequentially anyway. Of particular note, time required by an operator for identifying, finding solutions for and eliminating incoherencies in transition from one acceptable state to another during a power unit start-up or shutdown. The described factors directly impact power unit out-of-service time, which in turn affects an installed capacity utilization factor, which is a main indicator of equipment operational reliability, and personnel skill level. The article considers the requirements for Virtual Operator digital system development, as the next stage of operator information support software advancement. The results show the importance of creating conditions for a gradual increase of power unit control automation, as well as speeding-up the complex processes by introducing Virtual Operator system, which is expected to reduce the likelihood of an error made by operator when selecting one of a several alternatives for dealing with an incoherence during parallel processes. [ABSTRACT FROM AUTHOR]

As the times develop, where almost every aspect of human life goes hand in hand with technology and is also influenced by technology-forcing various parties, both from a company and individuals, to implement technology in business practices or daily needs. As the global economy has entered the Industry 4.0stage, which means traditional manufacturing and production practices are starting to shift to smart technology, machine-to-machine communication (M2M) and Internet-of-Things (IoT) on an integrated scale for increased automation, improved communication and self-monitoring, and the production of smart machines that can analyze and diagnose problems without the need to mix. Human hands. It is necessary for a company that competes fiercely to continue to develop their technology that can be ranging from software, operating systems, robotics, to production machines to achieve high effectiveness and efficiency. This paper will be explained about the implementation of geolocation systems to find location data from application users, certain analyses, and possible developments of the system by the needs of the system. [ABSTRACT FROM AUTHOR]

Document flow in modern construction industry is a large volume of various documentation. Working with such documentation takes a certain amount of time, which may not be enough in the construction industry when solving operational problems. Executive documentation includes documents that consist of text and drawings, diagrams, units, which show the real position of objects according to design documentation, parts, units. Until the inspection by the authorized body of the completed construction object, the documentation confirming the actual performance of work-as-built documentation, is kept by the developer, the customer. The construction of the facility is being carried out in stages. The works that were performed at the beginning are hidden due to the production of the next cycle of works - hidden works. If they are made without observing the technology or for any reason have a low level of quality, then the safety of the facility is at risk. In order to increase the safety of the facility, after each execution of construction work, the acceptance of the completed volume is carried out and is certified by an act of compliance with the requirements of building codes and regulations, design solutions. The analysis of the workflow at the construction site shows that there are many stages in the maintenance of documentation that require coordination with other performers. In addition, it takes a lot of time to maintain the documentation itself. Automation of this process will improve the efficiency of document management and interaction between its participants. Another important feature is the possibility of convenient storage and further use. New requirements for documentation in construction appear every year. The volume of documentation is constantly increasing. Maintaining and storing documentation requires additional resources. In addition, an important problem is the prompt coordination of current documents with the construction participants. Over time, printed documentation loses its original properties and is not subject to long-term storage. However, construction documentation may be needed by other organizations after a long time. Also, the electronic form of the document can contain many construction details, which in the printed version can present additional complexity. Such documentation is conveniently stored and it is easy enough to find the necessary material. [ABSTRACT FROM AUTHOR]

The paper proposes an approach enabling to reduce the solution of NP Hard problem of searching for the connecting network as short as possible or close to it on an undirected unweighted connected graph to a fairly simple regular procedure, i.e. additional points (Steiner points) are determined in sequence for each terminal point on a predetermined spanning tree. Based on this approach an algorithm has been developed providing an opportunity to automatically find utility networks of either a minimum length or close to a minimum length using the Manhattan and Chebyshev distances. There is an upper bound of reducing the number of structures on the master plot plan resulting from local routes combination. [ABSTRACT FROM AUTHOR]

Optimum human resource management and increased efficiency through automation are two of our main objectives need to achieve where the menial task of attendance taking will be done by a rover moving from class-to-class as per a fixed hourly schedule. The exact mechanism by which the rover operates is accomplished using two main concepts, viz., Voice Recognition and Computer Vision. The rover would initially use computer vision to navigate to and enter the classroom. It would then run facial recognition using the on-board camera. For the sake of redundancy and as a fallback, the rover will also initiate roll calls if necessary using its on-board devices like screen/ speaker and a microphone. The need for marking students attendance in classes is of unquestionable importance. The lecturer has to take out time and perform a roll-call for this purpose, and the peon has to proceed from class-to-class with the register to collect the day attendance. This results in inefficient utilization of time by the lecturers and peons. This Automation frees them up to take care of other things, while at the same time ensuring that the attendance data is accurate. [ABSTRACT FROM AUTHOR]

Modelling cylindrical manipulator with three degrees of freedom for pick and place operation considered forward kinematics using Denavit-Hartenberg (DH). Transformation of manipulator from one position to the other mathematicallydone using DH. The output of theoretical results such as joint angles and link length is considered as input for robotic toolbox in MATLAB. Pneumatic manipulator is built-in automation studio software andverified the simulation. Threepneumatics cylinders are considered for the development of three degrees of freedom manipulator connected in sequence for each operation. The main concept of this paper is to build a pick and place pneumatic manipulator using Automation studio (AS)and simulate. Thepick and place pneumatic manipulator aredeveloped and controlled by Programmable logic control (PLC) ladder logic in AS. [ABSTRACT FROM AUTHOR]