Control Panel Research Articles

Reconstrucción y funcionamiento de horno crisol para fundición de chatarra de aluminio en Ayacucho

The general objective was to rebuild and put into operation the crucible furnace for smelting aluminum scrap at the National University of San Cristóbal de Huamanga – Ayacucho. The specific objectives were to evaluate the stages of the reconstruction regarding the modification of the design and operation of the crucible furnace for the smelting of aluminum scrap. Obtaining objects (finished products) through different molding techniques. Carry out material and energy balances using oil and gas as fuel. The level of research was technological experimental, and the analytical method was comparative. The design was explanatory experimental. 4 tests were carried out using oil as liquid fuel, then gas, thereby improving the aluminum smelting process, with a high recovery percentage. It was implemented with an automated control panel for the use of gas as fuel. Different molding techniques were also experimented with. The material balance, calculations of the kiln load and products, calculation of the fed air and gases leaving the kiln were carried out. It is recommended to continue with other research in the field of transformative metallurgy since one way to reduce aluminum pollution is by recycling it, which is why it is considered a sustainable metal.

Usability Testing of Novel IoT-Infused Digital Services on Farm Equipment Reveals Farmer’s Requirements towards Future Human–Machine Interface Design Guidelines

The application of digital technologies in the agricultural sector is increasing. One of the new key technologies is the Internet of Things (IoT), which can facilitate the everyday work of farmers. For the successful adoption of IoT-enabled digital products and to ensure improved workflows, the usability of human–machine interfaces is highly important. Various design approaches of human–machine interfaces (HMIs) can currently be found in the monitoring of agricultural machinery. In this work, the most well-known HMIs are considered. Based on a usability test (participants n = 9), the user interface (UI) of a novel mobile application (NEVONEX Cockpit App) was chosen as an example of a design approach of an IoT ecosystem that is oriented towards the UI design of mobile applications. This work aims to identify the weak points of this UI. Conclusions about the needs, and thus an improvement of the user experience, are based on the suggestions for improvement and the information about the general requirements of farmers for a UI for agricultural machinery. Here, it was found that most farmers are satisfied with the UI design of their familiar tractor monitors. According to the survey, the three most important points to be considered in the UI design are intuitive operation and menu navigation, easy access to the essential functions and buttons, and sufficiently large control panels. The conducted usability tests can be considered a basis for developing HMIs for agriculture machinery. Through repeated execution of comparable usability tests, there is the possibility of developing future HMI guidelines for agriculture to improve the user experience (UX). For the NEVONEX ecosystem, feedback from the user interface testing was incorporated in a major revision of the Cockpit App’s design, where a lot more display space was given to the agronomic digital services by smartly arranging infrastructure functions in tiles.

Determining of Well Drilling Sequence for Investment Analysis using Monte Carlo Simulation in Upstream Oil and Gas Company in East Kalimantan, Indonesia

Electrical construction company that experienced in making Well Head Control Panels (WHCP) has difficulties to decide acceptance of investment in WHCP contracts raised with their client in upstream oil and gas company. The difficulty mostly due to uncertainty of client well drilling sequence. The electrical construction company need to financial investment analysis includes material purchasing, shipping, fabrication and delivery of WHCPs need to be done to make sure they make a profit. It is crucial for electrical construction company used correct forecasting method to determine schedule of client’s request. Monte carlo forecasting method is used to predict the well drilling sequence. The well drilling sequence data for 12 months is used to determine 24 months well drilling sequence operation with result 179 wells with normal distribution and 167 wells with triangular distribution.

A Virtual Platform Solution for Secure Sales Registration and Management in the retail sector

Background In today’s business environment, information security and availability are critical to the success of SMEs. This article presents research that addresses the challenges of security and availability of information in sales registration faced by SMEs worldwide. The main objective was to implement a virtual platform for the sales process in SMEs in San Vicente de Cañete, taking into consideration information security standards to preserve user data. Methods The development of the system was divided into five phases: Initiation, Planning, Implementation, Review and Launch. After implementation, an efficient sales process was achieved, guaranteeing the security and availability of information, and optimising management in an agile and secure manner. Results In addition, the virtual platform improves the purchasing experience by allowing the generation of reports and revenue management through a dashboard, promoting the use of information and communication technologies (ICT) in SMEs. Conclusions In conclusion, the research implemented a virtual platform for sales in SMEs, ensuring the security and availability of information. It improved management with reports and a control panel, encouraging the use of ICTs in these companies.

An Investigation of the Effectiveness of a Sterilization Device Using Heat and Ultraviolet Light Radiation

Background: Paper papers and banknotes are known to be possible vectors for infections, and the incredible COVID-19 pandemic has highlighted the critical necessity for efficient sterilization procedures. This research attempts to create a hybrid sterilization device that utilizes heat and ultraviolet (UV) light radiation. It employs the Design Science Research Method (DSRM) to tackle this urgent requirement. Methodology: The study follows the six-step DSRM framework, which begins with problem and motive identification, then defines solution aims, designs and constructs the device, and lastly assesses the system to prove its effectiveness. UV port, heat drawer, and control panel are the three primary components that constitute the prototype. To determine the effectiveness of the treatment, relevant microbiological strains, such as fungi, Gram-negative and Gram-positive bacteria, and other viruses were exposed to pre-contaminated papers at different intervals to heat and ultraviolet light. Results: The sterilization device that was developed displayed noteworthy effectiveness in withholding microbial contamination from paper documents. The device's effectiveness in sterilizing paper materials and ensuring their safe handling was demonstrated through an analysis of CFU reductions, which indicated a significant decrease when compared to untreated controls. A better result was seen when heat and ultraviolet light radiation were used together in a hybrid method. Conclusion: The study shows a brand-new hybrid sterilization device designed specifically for paper documents. This meets an urgent need that has become even more important since the COVID-19 pandemic. The heat-UV radiation from this gadget eliminates bacteria, lowering the risk of sickness and making paper goods safer. The DSRM framework can help to construct an organized strategy for conceiving, creating, and assessing innovative solutions to real-world problems.

Control program for the dosing system of dry bulk feed components

The development of intensive farming technologies is impossible without the introduction of modern technologies. The problem of compound feed production in the voiced aspect can be solved not only through the development of new machines and equipment, but also the introduction of modern control systems. The article presents an analysis of existing dispenser control systems. Based on the analysis of programs and control systems, it was revealed that almost all programs are designed to work in limited conditions, some of them do not take into account a number of factors affecting the accuracy of the material supply. Therefore, a control program for a twin-screw dispenser is proposed. When developing the management program, we started from the technological process of dosing. The possibility of controlling two augers was taken into account: first, a large auger (driven by an asynchronous electric motor) turns on and feeds the main part, then it turns off and the second small auger (driven by an asynchronous or stepper motor) turns on, which carries out the filling of the remaining part. In this case, signals about the amount of material supplied are transmitted from weighing sensors (strain gauges). The proposed control program for the twin-screw dispenser is developed for the TM241C24R PLC in the Structured Text (ST) programming language, one of the languages of the IEC61131-3 standard, in the EcoStruxure Machine Expert programming environment. The control is displayed on a liquid crystal display. The main screen displays basic information: the parameters of the electric motor, the recipe and the readings of the weighing sensors. The program allows you to control the operation of dispensers in several modes. In automatic mode, each dispenser supplies only one component. In manual control mode, the dispensers are started and stopped by the operator from the control panel. In this case, it is possible to set the rotation speed of the dispenser shaft. In the dosing mode with two augers, one component is dispensed with two augers. The proposed program will improve the accuracy of dosing in automatic mode.

SCADA implementation in microhydro power plant control and monitoring systems of screw turbine type

Screw turbine-type micro-hydro power plants are still controlled manually by humans when there is a change in the electrical load on the generator output. If there is a change in the electrical load, the generator output voltage will change, thus affecting the rotation of the turbine being used. In this case, humans are needed to manually regulate the flow of water entering the turbine to maintain the stability of the generator output voltage by controlling the sluice gate. The water discharge entering the screw turbine will rotate the generator through a belt/gearbox pulley transmission, thus producing an electrical voltage at the generator output. To maintain the stability of the generator output voltage, it is necessary to control the water discharge entering the screw turbine. The expected goal of this research is to design a control system for a screw turbine type microhydro power plant to stabilize the generator output voltage and monitor the output of a screw turbine type generator using a SCADA (Supervisory Control, and Data Aquisition) system. The method used is the research and development method, namely the system design stage based on secondary data that has been collected, where the system design includes hardware design and software design, followed by making hardware such as control panels and devices. Software, which includes display design and leader diagrams and testing, is carried out by testing the system on software, hardware, and overall system testing. From the results of the discussion and analysis, the screw turbine type microhydro power plant control design system was created, a load control system consisting of 6 groups and sluice gate opening control that uses an ultrasonic sensor to determine the water level. With the results of controlling the sluice gate at a door opening of 30 mm, the generator voltage is 18.42 Volts DC, DC current is 0.0 Ampere at a load of 0 watts, when the load is 30 watts the generator voltage decreases by 18.40 volts, current is 1.37 Ampere. Through the on-line monitoring system, electrical parameters are obtained which are displayed on the SCADA system by looking in real-time at the history of DC voltage and DC current, DC power, and DC energy generated by the screw turbine-type DC generator. The voltage read is 18. 57 volts, current 1.37 Amperes, DC electrical power is 25.4 watts with a DC light load of 30 watts.

The influence of thermo-electromechanical coupling on the performance of lead-free BNT-PDMS piezoelectric composites

In recent times, there have been notable advancements in haptic technology, particularly in screens found on mobile phones, laptops, light-emitting diode (LED) screens, and control panels. However, it is essential to note that the progress in high-temperature haptic applications is still in the developmental phase. Due to their complex phase and domain structures, lead-free piezoelectric materials such as Bi0.5Na0.5TiO3 (BNT)-based haptic technology behave differently at high temperatures than in ambient conditions. Therefore, it is essential to investigate the aspects of thermal management and thermal stability, as temperature plays a vital role in the phase and domain transition of BNT material. A two-dimensional thermo-electromechanical model has been proposed in this study to analyze the thermal stability of the BNT-PDMS composite by analyzing the impact of temperature on effective electromechanical properties and mechanical and electric field parameters. However, the thermo-electromechanical modelling of the BNT-PDMS composite examines the macroscopic effects of the applied thermal field on mechanical and electric field parameters, as phase change and microdomain dynamics are not considered in this model. This study analyzes the impact of thermo-electromechanical coupling on the performance of the BNT-PDMS composite compared to conventional electromechanical coupling. The results predicted a significant improvement in piezoelectric response compared to electromechanical coupling due to the increased thermoelectric effect in the absence of phase change and microdomain switching for temperature boundary conditions below depolarization temperature ( Td∼200∘ C for pure BNT material).

Development of a Cost-Effective Coconut Dehusking Machine

This study aimed to develop an affordable mechanized solution to address this challenge.A coconut dehusking machine prototype was designed, fabricated, and tested. It consists of a rigid steel frame, two counter- rotating cylindrical drums fitted with spikes, an electric motor, a V-belt drive system, and a control panel. Components were sized through structural and mechanical calculations. Fabrication utilized locally sourced materials within a 250,000 NGN budget.Testing showed the machine achieving 90% dehusking efficiency at 120 nuts/hour. Operational costs are minimized through a 1.5HP electric motor. Finite element analysis verified the structural integrity of machine components under operational loads.Results indicate the objectives of developing an affordable and efficient mechanized solution were achieved. Widespread adoption has the prospect of enhancing coconut farming viability, boosting rural livelihoods, and promoting agro- industrialization in Nigeria through coconut value addition. This study demonstrates how appropriately designed technology can support sustainable agricultural development in resource-constrained communities.

Retraction Note: BNIP1 inhibits cell proliferation, migration and invasion, and promotes apoptosis by mTOR in cervical cancer cells.

The article "BNIP1 inhibits cell proliferation, migration and invasion, and promotes apoptosis by mTOR in cervical cancer cells", by F.-H. Li, L. Xiang, L. Ran, S. Zhou, Z. Huang, M. Chen, W.-F. Yu, published in Eur Rev Med Pharmacol Sci 2019; 23 (4): 1397-1407-DOI: 10.26355/eurrev_201902_17096-PMID: 30840260 has been retracted by the Editor in Chief for the following reasons. Following some concerns raised on PubPeer regarding a possible overlap in Figure 2A, the Editor in Chief has started an investigation to assess the validity of the results as well as possible figure manipulation. The journal investigation revealed a duplication in Figure 2A between BNIP1 panels, migration and invasion, respectively and in Control and invasion panels. Consequently, the Editor in Chief mistrusts the results presented and has decided to withdraw the article. The authors have been informed about the journal's investigation but remained unresponsive. https://www.europeanreview.org/article/17096 This article has been retracted. The Publisher apologizes for any inconvenience this may cause.

Noise as an Extrinsic Variable in the Animal Research Facility.

Animal research facilities are noisy environments. The high air change rates required in animal housing spaces tend to create higher noise levels from the heating and cooling systems. Housing rooms are typically constructed of hard wall material that is easily cleaned but simultaneously highly reverberant, meaning that the sound cannot be controlled/attenuated so the sounds that are generated bounce around the room uncontrolled. (Soft, sound-absorbing surfaces generally cannot be used in animal facilities because they collect microbes; various wall surface features and sound control panel options are available, although rarely used.) In addition, many of our husbandry tasks such as cage changing, animal health checks, cleaning, and transporting animals produce high levels of noise. Finally, much of the equipment we have increasingly employed in animal housing spaces, such as ventilated caging motors, biosafety, or procedure cabinets, can generate high levels of background noise, including ultrasound. These and many additional factors conspire to create an acoustic environment that is neither naturalistic nor conducive to a stress-free environment. The acoustic variability both within and between institutions can serve as an enormous confounder for research studies and a threat to our ability to reproduce studies over time and between research laboratories. By gaining a better appreciation for the acoustic variables, paired with transparency in reporting the levels, we might be able to gain a better understanding of their impacts and thereby gain some level of control over such acoustic variables in the animal housing space. The result of this could improve both animal welfare and study reproducibility, helping to address our 3Rs goals of Replacement, Reduction, and Refinement in the animal biomedical research enterprise.

Single-Phase Induction Motor Control Panel

Abstract: This research paper presents the design and implementation of a Single Phase Induction Motor Control Panel using Arduino technology. The control panel integrates various components such as connecting wire, DP Pole MCB, connector, AC voltage sensor, current sensor, power supply sensor, Arduino Uno, temperature sensor, and float sensor. The Arduino serves as the central control unit of the panel, enabling precise measurement and control of voltage, current, and temperature. The panel is designed for portability and ease of use, making it suitable for educational purposes and practical experiments in motor control applications.

Physical and Mechanical Properties of Fiberboard Made of MDF Residues and Phase Change Materials

The wood-based panel industry is experiencing an excessive accumulation of solid residues from the production of medium-density fiberboard (MDF) panels and moldings. It is possible to create new MDF products with acceptable physical and mechanical properties by revaluing MDF residues. Additionally, those products’ thermal properties can be improved by incorporating phase change materials (PCMs). This study aims to develop a wood-based fiberboard made of MDF residues, capable of storing thermal energy. Two types of PCMs (liquid and microencapsulated), two PCM ratios (2% and 6%), and two types of adhesives (urea-formaldehyde and phenol-formaldehyde) were used to produce eight different types of panels. The vertical density profile, thickness swelling, water absorption, internal bond (IB), and static bending properties—modulus of elasticity (MOE) and modulus of rupture (MOR)—were determined for each panel type. The specific heat of the panels was also determined. The results show the panels’ densities were greater than 700 kg/m3. Thickness swelling in water improved by 23% compared to the reference value of the control panel PCMs after PCM incorporation. The highest IB value was 1.30 MPa, which is almost three times the minimum required by regulation standards. The incorporation of PCMs reduced the panels’ bending properties compared to the properties of the control panels. Even though the values obtained are sufficient to comply with the minimum values set out in ANSI standard A208.2 with an MOE value of 2072.4 MPa and the values obtained are sufficient to comply with the minimum standards with an MOE value of 2072.4 MPa and an MOR value of 16.4 MPa, when microencapsulated PCM is used, the specific heat of the panels is increased by more than 100% over that of the control panels. This study developed fiberboards with adequate physical and mechanical properties and capable of storing thermal energy.

H-intensity scale score to estimate CSF GluN1 antibody titers with one-time immunostaining using a commercial assay.

Anti-NMDA receptor encephalitis is an autoimmune disorder caused by autoantibodies (abs) against the conformational epitope on GluN1 subunits. GluN1-abs have been determined with cell-based assay (CBA) co-expressing GluN1/GluN2 subunits. However, commercial fixed CBA expressing only GluN1 subunit has increasingly been used in clinical practice. The ab titers can be determined with serial dilutions, but its clinical significance remains unclear. We aimed to develop an H-intensity scale (HIS) score to estimate GluN1-ab titers in cerebrospinal fluid (CSF) with one-time immunostaining using both commercial CBA and immunohistochemistry and report its usefulness. "H" is the initial of a patient with high CSF GluN1-ab titers (1:2,048). We first determined the reliability of CBA in 370 patients with suspected autoimmune encephalitis by comparing the results between commercial CBA and established assay in Dalmau's Lab. Then, we made positive control panels using the patient H's CSF diluted in a fourfold serial dilution method (1:2, 1:8, 1:32, 1:128, 1:512, and 1:2,048). Based on the panels, we scored the intensity of ab reactivity of 79 GluN1-ab-positive patients' CSF (diluted at 1:2) on a scale from 0 to 6 (with ≥1 considered positive). To assess inter-assay reliability, we performed immunostaining twice in 21 patients' CSF. We investigated an association between the score of CSF obtained at diagnosis and the clinical/paraclinical features. The sensitivity and specificity of CBA were 93.7% (95% CI: 86.0-97.3) and 98.6% (95% CI: 96.5-99.5), respectively. Linear regression analysis showed a good agreement between the scores of the first and second assays. Patients with a typical spectrum, need for mechanical ventilation support, autonomic symptoms/central hypoventilation, dyskinesias, speech dysfunction, decreased level of consciousness, preceding headache, ovarian teratoma, and CSF leukocyte count >20 cells/µL had a higher median HIS score than those without, but HIS score was not associated with sex, age at onset, or seizure. HIS score at diagnosis had a significant effect on 1-year functional status. The severity of disease and four of the six core symptoms were associated with higher GluN1-ab titers in CSF at diagnosis, which may play a role in poor 1-year functional status. An incomplete phenotype can be attributed to low CSF GluN1-ab titers.

Deep Learning Algorithms for Detecting and Mitigating DDoS Attacks

Raising the threat of Distributed Denial of Service (DDoS) attacks means that high and adapted detection tools are required now more than ever. This research focuses on exploring the latest solutions in preventing DDoS attacks and emphasizes how Artificial Intelligence (AI) is involved in enhancing end-to-end detection techniques. Through the analysis of several key approaches, this work notes that AI-guided models quickly identify and counteract any unusual traffic patterns that may indicate an oncoming DDoS attack. Essential aspects towards creating more resilient networks against such attacks include machine learning algorithms, sophisticated data analytics together with AI based detection systems for traffic pattern recognition. Importantly, AI does well in behavioral analysis because it can distinguish and adapt to changing attack vectors. Additionally, it puts AI into perspective as making positive mitigation strategies possible that contain quick interferences such as temporary halt of traffic, rerouting and targeted block listing with real time control panel operations. On the contrary, current DDoS detection prevention techniques remain critically addressed of persistent challenges and limitations fundamental to them. From what emerges, they should always be ready for innovation and improvement because of how attacks might evolve over time. This paper aligns itself with the position that AI-driven detection mechanisms are natural to network security against DDoS attacks. It underlines the importance of integrating AI-based solutions with conventional practices in order to enhance network resilience and efficiently counteract cyber threats that are evolving all the time.

How does plant taxonomic choice affect building wall panel cooling?

Vegetation is increasingly being valued for its contribution to urban cooling, with implications for mitigation of urban heat islands, building energy efficiency and human thermal comfort. Relatively little information exists, however, as to how plant taxonomic choice affects micro-climate cooling. This research used a building wall scenario to determine how plant type affected material cooling during summer in a temperate climate (UK). Thermocouples recorded wall panel temperatures behind 24 different plant taxa compared against a control panel unshielded by plants. When the control wall panel temperatures were 25 °C, 35 °C, 45 °C and 55 °C, the maximum cooling observed on panels screened by vegetation was 5.1 °C, 13.5 °C, 20.1 °C and 25.7 °C respectively. For each of these temperature scenarios, maximum cooling was attributed to Hebe, Lonicera, Hebe and Hedera, respectively, i.e. the optimum taxa choice could vary with the ambient conditions being experienced. Data was assessed, subsequently to determine if cooling potential could be associated to a certain plant attribute. Cooling was maximised by increasing the overall leaf surface area between the wall panels and the incoming solar irradiance, i.e. larger plants with dense canopies promoted cooling, but otherwise there was no overall consistent pattern linking cooling to key plant traits, such as leaf colour. The research confirms that plants are effective thermal regulators within the urban environment, but further wider evaluations of taxa are required before the landscape sector has a definitive list of optimum genotypes that it can recommend.

تحســــين أداء آلــــة عـــد الأمـــــوال باستبدال المحرك التيار المتردد بمحرك تيار مستمر، مع دمج حساس الأشعة تحت الحمراء والأردوينو

In the implementation of a money counting mechanism for a money-counting machine, I attempted to control the machine by replacing its control panel with Arduino control. This allowed for monitoring the movement and counting of money, controlling its stopping and starting, and taking readings from its sensors to employ it as a money counting machine. The process was very successful and yielded impressive results despite encountering some problems that were resolved. Among these issues was the difficulty in controlling the AC motor responsible for the mechanical movement of pulling the money. It was replaced with a DC motor, which offered greater flexibility in terms of stopping, starting, and speed control. This was very beneficial in ensuring the process of determining the desired amount of money by the counting machine. Replacing the AC motor with a DC motor in the money counting machine and using it in this project was a unique experience. Despite continuous research on related topics, I found no one who had used this idea. The results were highly reliable and stable. The following will discuss the results and explain the process. Arduino was primarily used in this process, with movement control using a DC motor driver and the existing infrared sensors in the money counting machine, along with other sensors such as the currency denomination sensor and counterfeit detection sensor. These components will be listed in this paper to clarify the process and how satisfactory results were achieved. Keywords: Arduino-based control systems, DC motor technology, Cash counting machine,AC motor, Infrared sensors.

Circuit design solutions for underwater detection robots

In recent years, the exploration and utilisation of the environment has become in full swing with the advancement of technology. However, the environment has also suffered a certain degree of damage in the process. As a result of the increasingly serious environmental problems, various environmental issues have become hot spots in society. Among them, marine environmental problems have undoubtedly become one of the focuses of attention. Therefore, the robot design for underwater water quality detection has become an important issue. This paper will mainly focus on the design and research of the hardware circuit system of the underwater detection robot, and give the relevant design scheme. The underwater robot will achieve the following functions: floating suspension at a certain depth in the ocean; synchronously detecting the radiation intensity of x-rays and -rays underwater and transmitting the data to the ground to achieve real-time monitoring; maintaining the dynamic balance in the water. Therefore, this paper analyses the pressure sensor circuit, the inertial sensor circuit, the underwater x-ray and -ray detection probe circuit and the DC motor drive circuit, determines the interface relationship of each part, and at the same time, uses the Arduino mega 2560 as the control panel, and provide the appropriate voltage according to the needs of each circuit to achieve the hardware circuit design of the robot.

SecureLaw Portal: Empowering Citizens with Transparent Legal Records via Blockchain and Cloud eVault

In the digital age, where data integrity is essential, the management of legal data requires innovative solutions. SecureLaw is a new project that combines the immutable power of blockchain, the flexibility of Cloud. The agility of the Cloud, Express.js, React.js, Node .js suite. This integration forms the backbone of the transformation of data protection laws, providing unparalleled security, transparency and easy access. Highlights of this project: SecureLaw is instrumental in redefining information law in India. Traditional systems often face security breaches and lack of transparency, undermining the integrity of the legal process. SecureLaw solves these problems by integrating blockchain technology, which provides immutable data that ensures legal documents are not tampered with and ensure their authenticity. The introduction of smart contracts automates the process, controls permissions and makes data immutable, thus increasing efficiency and reducing errors. Leveraging Cloud services such as S3 for storage, API gateways for seamless communications, Lambda for serverless computing, and DynamoDB for scalable databases provides a powerful, scalable, and cost-effective infrastructure. Scalability is important to accommodate legal system growth, and Cloud’s Dynamic Services provide a solution. The AERN group (AWS, Express.js, React.js, Node.js) strengthens the foundation of the project. Express.js is a simple and easy backend framework that seamlessly integrates for efficient data processing and processing. React.js is a front-end library with many features that make it user responsive and intuitive. Node.js is known for its performance that enables dynamic recovery and makes data fast and recoverable. SecureLaw's user centric approach includes managing access to personal and legal personal details. Personal auditors, regional directors, directors (DGs), judges, etc. It deals with many user roles, personal control panels, and access rights. This change promotes cooperation, transparency and communication in the legal system. Features of a self-explanatory legal system encourage people to understand the legal process, fostering transparency, trust, and collaborative knowledge. Keywords: Blockchain, Application Programming Interface (API), Cloud , Express.js, React.js, Node.js

Design of a fast cassette autoclaves for medical devices

Ensuring patient safety in healthcare necessitates the sterilization of medical devices. However, traditional autoclaves are impractical for certain medical settings due to their size, bulkiness, and time-consuming nature. To address this, a compact and portable alternative called a cassette autoclave was developed. This paper presents the design and manufacturing process of a high-speed cassette autoclave for medical devices. The autoclave features small dimensions, lightweight construction, and user-friendly operation. It achieves remarkable speed, sterilizing devices in approximately 3.5 minutes. Made of durable stainless steel, it includes a digital control panel for seamless management. Extensive testing and validation ensure compliance with sterilization standards. The results highlight the autoclave's effectiveness and safety, making a significant contribution to medical device sterilization.