Search

Controller Area Networks (CAN) are a desirable substitute in the automation and automotive sectors. The purpose of this work is to develop the CAN protocol for car monitoring systems using Arduino. The objective of this research is to create an embedded system that tracks internal metrics required to assess the vehicle's current state of healthand identify any issues. User information is essential for promoting security, safety, and mobility, as well as increasingthe dependability of travel. This user data may include ongoing information about the vehicle's performance and thecondition of its internal parts. In this project, the Arduino and the linked sensors communicate with each other using CAN. Sensor data monitoring is aided by CAN. The Arduino system, the brains behind this project, is essentially the basis of thisgadget. It regulates the use of temperature, alcohol, vibration, and ultrasonic sensors. Through the use of CAN, these sensed data are sent to the controller in packet frames. [ABSTRACT FROM AUTHOR]

Mobile computing in the cloud (the MCC), a hybrid of cloud and mobile computing, aims to give mobile users, network operators, and land-based cloud computing service providers access to abundant computational resources. The MCC is an acronym for "mobile cloud computing". Another major advantage is the convenience offered by cloud computing and mobile devices. The significance of land requirement of smaller sizes, lighter weights, reduced power consumption, hand-held land carrying lease, toughness, water resistance, and other similar features is not satisfied by traditional mobile devices. As a result, a hybrid approach involving mobile, cloud, and land components is often adopted to address these needs effectively. All-purpose GPCCC (mobile, cloud, and land) application-specific Cloud computing (ASMCC) comprises two distinct forms that enable customers to enhance storage capacity and hardware resources to perform expensive tasks on the cloud in an alternate manner. Hence, GPCCC land and ASMCC are abbreviated as respective. The main areas that need to be addressed are privacy, data access, and land security and the steps that have been taken at this level are encrypting sensitive data, limiting exposure to only what is necessary, optimizing efficiency, and integrating data cleanup into the task execution process. [ABSTRACT FROM AUTHOR]

The article presents the concept of the life cycle of railway automation and telemechanics equipment and an assessment of the technical condition at each stage of the life cycle. It can not only determine its condition, but also extend its service life in terms of direct operation. The presented work also examines new modern approaches to the maintenance and repair of equipment on the basis of technical condition, based on the use of diagnostic systems and assessment of the current condition, in order to ensure more reliable and economical operation of the used equipment throughout its entire life cycle. This requires more accurate and high-quality methods for assessment of the condition of insulating joints, which are the main element that allows to separate adjacent rails from each other. A special role in this is played by the development of diagnostic systems that are capable to detect defects at early stages and significantly reduce the risks of emergency situations. The authors also analyze changes in the life cycle of an insulating joint when a preventive maintenance strategy and a maintenance strategy based on actual condition (using continuous diagnostics) is applied. [ABSTRACT FROM AUTHOR]

Self-driving cars are set to change the transportation scenario in coming years in a big way and the impact it will have on human lives will be endless. The requirement of computing power and datasets for system automation of self driving cars is very huge. In this proposed work, an emulator has been used which generates required number of images of vehicle movement. These images have been used for training the deep neural network to predict steering angle of the car. Several convolutional neural networks architectures have been employed to obtain better steering angles using least number of parameters. [ABSTRACT FROM AUTHOR]

With the development of mechanical engineering, Computer Numerical Control (CNC) machine tools become very popular, in which the digital controller plays an important role. The PD control, PI control and Proportional Integral Derivative (PID) control is widely used in CNC machine tools. Application scenarios of these controls are analyzed and compared in this article. It is shown that The PD control is good at stabilizing systems, enabling it to be used in systems with much chatter, like cutting tools. The PI control can be used in systems requiring high precision such as speed and position control systems in machine tool because of its accuracy. The PID control has both advantages the PD and the PI control have, so it can be used in systems both need stabilizing and high precision such as hydraulic control system. This research presents a general view on the application scenario of these three controls and has guiding significance for choosing controllers for CNC machine tools. [ABSTRACT FROM AUTHOR]

The success of a house design in performing sustainability could be explored and investigated through various approaches. However, the efficiency of floor plan design and its relation to building sustainability is still rarely discussed and explored. Drawing from such a notion, this paper offers a discussion on floor plan efficiency with a particular focus on two program-related aspects of building design: room size and proportion. Situating the study upon dwelling floor plans as its context, the study offers a two-stage investigation characterized by the utilization of GAN as a machine learning framework. The machine-learning-employed investigation shows a promising result, whereas automation of solutions regarding the floor plan efficiency could be achieved in a shorter time. Overall, the result of this study indicates the potential of exploring floor plan efficiency for disclosing and expanding our understanding of more holistic building sustainability. [ABSTRACT FROM AUTHOR]

In order to determine which method increases metallurgical bonding more successfully when applied to EN10083 steel, the purpose of this study is to compare the traditional friction welding methodology with a novel pattern of parallel lines. Methodologies and Instruments for Research: The study being conducted makes use of stainless steel EN10083. In order to achieve a diameter of 30 millimetres and a length of 60 millimetres, the workpiece is friction-welded with the assistance of a computer numerical control machine. For the purpose of determining the temperature at a distance of 10 millimetres from the interface, a thermocouple sensor with the model number IRX-64 is utilised. Within the course of this procedure, eighty percent of the G power is used. Findings: The weld temperature, the material stress, and the post-weld colour all increased when we used a friction welding pattern with a parallel line. This was something that we discovered. Time, temperature, and stress were all taken into consideration in the specification of the result, which is glaringly visible. The fact that the two groups have a p-value of 0.000 (2-tailed), which is lower than the significance level of 0.05, indicates that there is a statistically significant difference between them according to the data. As a result, this research discovered that the conventional friction welding method was not as effective as the novel parallel line pattern friction welding of EN10083 steel. This was determined by comparing the two methods in terms of the interface friction temperature. [ABSTRACT FROM AUTHOR]

The major purpose of this research is to compare the material removal rate (MRR) of a high-speed steel (HSS) drill bit with that of a novel composite drill bit consisting of magnesium alloy and silicon carbide. This evaluation will take place during drilling operations. The Instruments and Methods Used in Research: Carbide drill bits were employed in the research group, whereas high-speed steel drill bits were utilised in the control group. A composite material consisting of 95 percent magnesium and 5 percent silicon carbide was produced through the application of the stir casting process. For the drilling, a computer numerical control (CNC) vertical machining centre was utilised. A survey was administered to nine individuals from each of the groups. The Gpower value is 80 percent, and the significance threshold for each group is 0.05. This is the value that is used to determine the sample size for each group. Carbide has a mean material removal rate of 22.89 g/min, which is much higher than the rate of 9.88 g/min that HSS possesses, according to the findings. According to the statistics, the two groups were found to be statistically different from one another, as evidenced by a p-value of 0.001 (lower than 0.05). Carbide drill bits were proven to remove more material from a composite material consisting of magnesium alloy and silicon carbide during the machining process than HSS drill bits did. This was demonstrated within the parameters of this investigation. [ABSTRACT FROM AUTHOR]

This report presents the comprehensive development and analysis of an automated sugarcane peeler, a project aimed at improving efficiency and productivity in the sugar industry. The report outlines the background, objectives, methodology, design, implementation, and results of the sugarcane peeler project. The successful development of this technology has the potential to revolutionize sugarcane processing, reducing manual labor, and increasing the overall output and profitability of sugarcane processing plants. Efficient sugarcane peeling is a critical process in the sugar industry, directly impacting yield and quality. This abstract provides a concise overview of an advanced automatic sugarcane peeler developed to address the challenges of traditional peeling methods. The project focuses on enhancing efficiency, reducing wastage, and ensuring operational safety. The automatic sugarcane peeler employs innovative mechanical and automation components, optimizing the peeling process. Through meticulous design, implementation, and testing, the system's performance is evaluated, demonstrating its potential to revolutionize sugarcane processing. This abstract encapsulates the project's essence, highlighting its contributions to the industry's advancement. [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]

"Kata terikat" represent a commonly utilized word class in Indonesian journalistic articles, yet their usage is often erroneous. "Kata terikat" are categorized into three types based on their division: words that are connected, separated by a space, and divided by a hyphen (-). This presents an opportunity for the automation of detection and error checking of "kata terikat" usage. The Rabin-Karp algorithm is employed for the detection of "kata terikat" due to their varied patterns, and the Random Forest algorithm is applied for the classification and correction of incorrectly used "kata terikat". The dataset used for this research is accommodated by Tribun News in form of nearly 1000 samples of journalistic article. The research conducted reveals that the "kata terikat" correction model achieved an accuracy of 86.24%. Three rounds of testing were carried out using 10, 20, and 40 journalistic articles from the Tribun News dataset, yielding accuracies of 85.71%, 91.67%, and 86.67%, respectively. [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 this era of internet, we aspire to control everything through the internet. Internet of Things known as IoT has been a buzz word in the industry for quite a long time. IoT aims at controlling devices and transmitting data through the internet, which helps in efficient utilization of resources and minimize the human effort. Many sensor and control nodes are linked to a central cloud server and managed by a single administrator who serves as a go-between for the many users. While the administrator has access to and control over all nodes connected to each user, each individual user only has access to and control over their own connected nodes. Every aspect of your home's electronics can be managed from your smartphone or computer, no matter where you are, thanks to the IoT infrastructure being put in place. Using IoT for controlling the electrical parts of a building could be proved energy efficient. Especially in colleges where there are lots of classrooms and blocks, it would be difficult for people to manually go and check everyday after the classes are over, to ensure that the electrical devices in classrooms are switched off. Also, in air-conditioned places, after reaching the required temperature or in winter seasons, according to the need, the air conditioner can be cut off. This application helps in monitoring and controlling all electronic devices through cloud and also to set automatic cut off for rooms where there is air conditioning, using the ESP8266 module. Also, we use a mechanism to detect if there are any people in the room, if not we will turn off the lights and fans in that room. [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]

To assure the continued existence of this ever-increasing and growing population, the agricultural sector is a crucial sector that has to be adapted to new technologies in order to boost productivity in a smaller area. This is necessary in order to secure the survival of the people. Adapting modern technology to the needs of small and medium farmers, who make up a significant portion of the farming population, is our major objective. This will, in the long run, result in a more widespread change concerning the agricultural industry. In order to do this, we came up with a new system that is not only secure and scalable, but also self-sufficient and easy to change in order to meet any future technological breakthroughs that may occur. Within this minute and minute detail, real-time parameters were monitored, managed, recorded, and graphically shown in order to enable the making of judgements that were both suitable and timely. In addition to the development of a decision-making system that is based on artificial intelligence, the installation of sensor nodes and control nodes that are self-sustaining and scalable was also carried out. Furthermore, a smart node that functions as a Bluetooth Low Energy gateway in order to ease connection with the cloud was also successfully implemented. For the purpose of bringing agricultural regions into conformity with contemporary technology, the use of intelligent equipment gives an expanded potential. [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]

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]

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]

Most petrol pumps still operate physically and have poor management, which results in time-consuming, requiring extra workers and unorganized management. A smart pump automation system using an IoT platform is proposed to automate the pumping process, fuel status and transaction activities for use by three types of users; customer, admin (authorized person – employees, managers etc.) and management team – vendor, gas station owners, supplier etc.). The main objective of the proposed system is to provide a fully automated progressive web application for petrol station and integrates it with an IoT pump that will automate the petrol pump to make it easier for customers. In addition, the proposed system helps the vendor and management team to keep track of their pump details accurately. Technically, the developed system consists of the customer part, where the web application is connected to a Raspberry PI pump to simulate the act of purchasing real fuel. When a customer makes a purchase through the app, the pump will be triggered based on the value in liters and the type of fuel selected by the user. Several menus such as top-up, purchase history, QR code and feedback have been added for customers, in order to make it easier for them to keep records of their previous usage. The system also consists of vendor parts that will be used by employees, managers, and gas station owners. Information such as customer lists, current fuel prices and transaction lists can be obtained directly in real-time through the system. To note, this work is limited to the design and development stage only. [ABSTRACT FROM AUTHOR]

In this modern era, Automated machines are about to migrate from factories and manufacturing industries to the building and construction industries as a result of rapid technological advances which enables them to perform complex task. Construction industry is facing issues like decling profit, low work productivity in construction, a high mishap rate, low quality, deficient control of building site, etc. In order to solve these issues Automation and Robotics is presented.A quantitative approach was done to collect data by case studies. The data is analysed to investigate various aspects of using automation like quality, cost, time, safety and productivity. The results showed that using automation in construction has positive impact in reducing cost, saving time, improving quality and increasing the productivity. [ABSTRACT FROM AUTHOR]

The article discusses various approaches to the decision-making methodology to reduce hydrological and economic risks in the field of water resources management. The possibility of creating a fully automated integrated system is considered, the essence of which is the primary processing and analysis of the initial data, modeling possible scenarios, determining possible solutions for each of them, compiling primary clusters of a matrix of possible solutions, methodically combining clusters corresponding to the same decisions and the final assessment of the financial component. An example of GIS modeling for spatial analysis of heterogeneous incoming information is given. The effectiveness of GIS is shown in conditions of difficult decision-making with high uncertainty of hydrometeorological, climatic, socio-economic and other factors affecting the degree of risk of dangerous hydrological phenomena. The practical significance of an automatic system is substantiated, which solves both the direct problem of decision-making based on hydrometeorological forecasts and the reverse problem of optimizing forecasting systems based on an analysis of the potential economic efficiency of issued forecasts. [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]

Production processes of materials heat treatment are characterized by a large number of interrelated control parameters, inertia, non-stationarity and significant nonlinearity. That is why they can be described only using models in the form of a verbal description in natural language, which allow the unique experience of experts in the subject area of process control to be translated into the language of correct control computer programs. Traditionally, fuzzy logic controllers are considered an automation tool for these objects. However, when using them to control heat treatment processes, which, as a rule, are multidimensional, it turned out that due to the large error and low speed, significant difficulties arise in the synthesis of a compensator for the mutual influence of the loops of a multidimensional fuzzy logic controller. These disadvantages are deprived multidimensional logic controllers (MLC), the input and output variables of which are interpreted by a set of precise terms. The error of such controllers in comparison with fuzzy ones is lower, and the speed is higher. In addition, the capabilities of the MPLC for controlling poorly formalized multi-connected production processes are almost the same as those of fuzzy controllers. [ABSTRACT FROM AUTHOR]

The research carried out within the framework of the article is based on the rethinking of foreign and Russian practical experience in the field of methodological support of organization process of management of innovation activity, which is aimed at creating significant synergistic economic effect of high-tech enterprises in the digital environment. The aim of the research is to develop theoretical and methodological framework in the development of recommendations aimed at transforming the main aspects responsible for the management process in the field of innovation activities of high-tech enterprises, including not only tools/methods that determine the level of its effectiveness, but also the development of various recommendations for reforming the existing organizational and management models. The authors have developed a model of innovation proposal, which contains in its basis the main groups of characteristics of the elements of this subprocess, based on which enterprise management can monitor in certain stages that determine the vector of enterprise development, taking into account the incoming data/information flows, including local independent systems. The modified variant of the descriptor responsible for subprocesses in the field of management of the investment offer is offered, thus each separate subprocess carries a certain semantic meaning, and influences the process of working out of the administrative decision on development of the investment offer. The step-by-step division of tasks in the course of technological implementation of subprocesses of management in the field of the innovative offer, taking into account the requirements of Industry 4.0 is given. [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]

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]

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]

Vacuum valves play critical roles in today's semiconductor industries as they directly affect the quality of semiconductor chips produced. Vacuum valves are mostly made from aluminium and produced by using Computer Numerical Control (CNC) machining. Two main criteria for ensuring the machining products quality are the dimensional accuracy of the vacuum valves and its surface quality. Machining parameters especially spindle speed and feed rate are the main parameters that are affecting the products' quality. Thus, this research is a preliminary finding to study the cutting force acting towards the aluminium workpiece behaviour during machining by using ANSYS static structural analysis. The results show that the workpiece experienced deformation during machining, leading to warpage. This was attributed to improper fixture and locator design. Further research is planned by using Taguchi method and Analysis of Variance (ANOVA) as to find the optimum value of machining parameters and which parameters is the main factors in causing the workpiece to have dimensional accuracy issue. [ABSTRACT FROM AUTHOR]

The research aims primarily to show the impact of the automation of accounting operations on the security and safety of the electronic accounting information system, as the relationship between the automation of accounting operations being the independent variable and the security and safety of the electronic accounting information system being the dependent variable was studied and analyzed, and in order to achieve the goal of the research, the researchers followed the descriptive approach. To obtain data related to the theoretical framework of the research based on books, theses, theses and previous research, as well as following the analytical approach related to the practical side by obtaining the required data by means of the questionnaire form and analyzing it statistically in the SPSS program. 110 forms were distributed, 100 forms were retrieved from them. 90 forms subject to scientific analysis and the rest was neglected because they are not suitable for analysis, and the research community is represented by workers in the private banks sector listed in the Iraqi Stock Exchange., and due to the difficulty of enumerating the advanced categories, it was chosen The researchers saw a sample of them represented in the employees of the Islamic Spectrum Bank and its branches scattered in the governorates. One of the most important results of the research was the existence of a statistically significant impact relationship between the automation of accounting operations and the security and safety of the electronic accounting information system. Finally, the researchers reached several recommendations, the most prominent of which were: the need to develop and update the security and safety procedures of electronic accounting information systems through the use of complex passwords limited to authorized persons only, taking into account changing them from time to time, as well as the use of strong, updated and global protection programs to prevent penetration of the system And its destruction by electronic viruses, as well as setting up tight control procedures that obligate users of the automated system to instructions and laws regarding confidential information and the possibility of its circulation with others from outside the bank, and setting deterrent penalties in case of violating those instructions and laws. [ABSTRACT FROM AUTHOR]

The separation and overlap between the laser pulses were controlled through sample's scan speed and pulse repetition frequency using a laser system of 0.8 nanosecond pulse width with a repetition frequency of 40 kHz. The laser beam has been focused on the sample surface using an objective lens with 0.75 numerical aperture to a spot with a diameter of 1.83 µm. The laser diode driver has been used for controlling the pulse repetition frequency through controlling the supplied electrical current, whereas the speed of the scanning stage has been used to control the pulses train under computer control. The pulses were successfully controlled from sorting with distance (single pulse per point), contiguous pulses to the overlapping of up to 90%. This control of overlapping between pulses offers an enhanced definition of wires width compared to our previous attempts [1]. This improvement is a further endorsement to Laser direct writing (LDW) as a simple rapid technique that can be used to produce micro/nano scale structures. [ABSTRACT FROM AUTHOR]

The latest innovations in artificial intelligence (AI) have substantially affected development in numerous industries. The construction industry's growth is significantly hampered by a variety of complicated difficulties, including cost and schedule overruns, safety and health, production, and lack of labour. Furthermore, the construction sector is one of the least computerized in the globe, making it challenging to address the issues it is now facing. Artificial Intelligence (AI) is a cutting-edge digital technology that is presently impacting several sectors, including manufacturing, commerce, and communications. Automation, knowledge-based platforms, machine learning, robotics, and optimization are only some of the areas of artificial intelligence that have been effectively used in various sectors to improve their bottom lines, operations, and security. While the construction sector has benefited from certain AI applications, many challenges remain that are directly related to AI. This study intends to identify AI applications and highlight opportunities and challenges for AI implementation in the construction sector. [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]

To address the need for an affordable but high-performance nondestructive testing system for manufacturing industry, PRTDRAN (the Research Center for Radiation Detection and Nuclear Analysis Technology) is developing an X-ray based CT scan system. The CT system under development consists of an X-ray generator, a radioscopy box, and a turntable for the sample. It was built for USD 33,100. The thickest material the CT system can examine is 8 mm for steel and 8 cm for aluminium. The radioscopy box used is based on the principles followed in IAEA Radiation Technology Reports No. 2, but with significant modifications. The camera resolution is 20 megapixels, while an image detector of up to 30 cm × 30 cm size can be accommodated. The position of the camera is adjustable, allowing for the precision needed for use in a CT scanner. The radioscopy box weighs just 30 kg. The CT scanner is housed in a 220 cm × 140 cm × 180 cm housing made of a lead and stainless steel plates. The operation of the system is controlled from a computer in a separate control room, to further improve user safety. Through testing, the system has been found to perform CT imaging and reconstruction well, with pre-reconstruction interpolated basic spatial resolution iSRb of 0.234 mm, while the radiation exposure outside the system did not exceed 0.6 µSv/h at 1 m from the housing. It is expected that the nondestructive examination capability provided by the system will be affordable even for smaller companies. [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]

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]

The daily tasks that correspond to academic, work and recreational activities, present us difficulties, such as being able to work simultaneously on our computer, we can also add monitors on portal computers, In some cases, these two-monitor configurations tend to fall short, the The methodology presented below uses virtual monitors in same number of programs to work, thanks to an integration between the Virtual Reality lenses of the Oculus model and an Immersed virtualization software, resulting in up to 5 virtual work environments, the methodology allows the control of the computer through VR controls, allowing a correct operation, that the devices are connected to an internet network to share information and resources, also in the demonstration the participation of other people was verified through mobile devices, through the participation and collaboration of these virtual environments. The methodology can be applied in study processes where it is necessary to view many applications at the same time, as well as perform programming tasks where in some cases it is necessary to view the manual, and in security viewing multiple cameras distributed on these virtual monitors. [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]

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]

The article discusses the urgent tasks to improve the process of planning the work of vehicle drivers on city routes. To arrange high-quality and safe transportation of passengers, it is necessary to plan the timely release of vehicles on the line, as well as the order of work of drivers. Plans for entering the line of vehicles and work schedules for drivers are developed for all days of the coming month. The planned parameters of the operation of vehicles on the routes must ensure the transportation of all passengers in compliance with quality requirements. The planned parameters of the drivers' work must ensure uninterrupted transportation in compliance with the requirements for the work and rest hours of personnel. During each day, depending on the operational situation on the routes, changes are made to the work plans. Transportation companies in large cities spend significant funds on developing and changing plans. To reduce planning costs, an algorithm for automating the development of daily orders for the work of vehicle drivers on city routes is offered. [ABSTRACT FROM AUTHOR]

The article is devoted to the problems of introduction and further development of technical diagnostics (STD) of railway automation and telemechanics systems. Ways are considered to improve the technical and economic efficiency of STD against the background of the active development and implementation of modern microprocessor control systems on railways. On the example of the developed STD-MPK system, an effective way to connect a universal meter to diagnostic objects with the organization of a measuring channel based on an analog multiplexer is shown. The possibilities are generalized and the technical characteristics of the system for solving operational problems in the economy of railway automation and telemechanics are given. Conclusions are drawn and recommendations are given for optimizing approaches to the development and implementation of an integrated system of technical diagnostics. [ABSTRACT FROM AUTHOR]

The article discusses the need to improve the efficiency of freight cars operation by introducing modern technologies in the maintenance process. To improve the quality of technical inspection of rolling stock at the maintenance point, it is offered to introduce a robotic complex capable of autonomously conducting technical inspection and diagnostics of rolling stock. Structurally, the robotic complex includes: chassis; manipulator; automation, control and data transmission system; diagnostic equipment; power unit. The possibility of using various diagnostic tools, vision systems, non-contact scanning sensors is considered. The functions of the complex are to pass through the inspection positions, identify malfunctions, accumulate information about the technical condition of the car with the transfer of information to the fleet operator or maintenance point (PTO). [ABSTRACT FROM AUTHOR]

The COVID problem is affecting economic development across countries and sectors. Retail, especially apparel, is one of the most hit industries owing to lower traffic. This research was done on Retail Apparel Organization workers to see how automation and technology might boost employee and organisational production in challenging circumstances. The main purpose is to identify what tasks/jobs employees perform using a particular job role, to identify tasks that can be optimised and automated to improve productivity, to understand and recommend how automation can lead to reduction of redundant positions and layers in an organisation structure, and to understand and recommend how automation can make an organisation leaner and more efficient. The methodology is divided into Qualitative Study, which consists of Time motion Study via in-depth interviews to understand the employees' jobs and tasks that can be optimized/automated, and Quantitative Study to understand the Retail apparel organisation employees' perspectives on automation and productivity. This article explains how firms may automate via job analysis and how to make work more agile by optimising labour and saving money and time. [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]

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 article considers the possibility of using a combinatorial approach to automation of construction production calendar planning on a variant basis. The essence of the combinatorial approach to the construction production multivariate automated design consists in generating a complete set of all feasible organizational and technological solutions for the construction works production at each stage of design based on the capabilities of the contractor construction and installation organization, the production conditions, the construction object characteristics, followed by the selection of the best solution according to the specified criteria. The generation of alternative solutions for the works production at each stage of design is carried out using combinatorics methods with a complete set of feasible alternatives generation. If it is possible to select preferred options (clear criteria) at a certain design stage, then such selection can be carried out. If it is impossible to select the best options at a certain stage of design, then all generated alternative options for organizational and technological solutions for the construction production works are transferred to the subsequent stages of design (modeling). Ultimately, the best option choice for the construction process implementation occurs after the completion of the entire complex of stages and tasks of organizational and technological design (modeling), taking into account how each particular solution affects the entire complex of interrelated tasks and stages, which allows for the systematic approach full use in the construction production design (modeling). [ABSTRACT FROM AUTHOR]