System Test Research Articles

Extracurricular Management Information System

The extracurricular management information system aids educational institutions in efficiently managing extracurricular activities. These activities are vital for student development outside of the classroom. However, manual administration of extracurricular activities is time-consuming and challenging. In the digital age, extracurricular management information systems are necessary to enhance efficiency and effectiveness in managing these activities. This study aims to create and involve an extracurricular management information system that will enhance the efficiency and effectiveness of managing extracurricular activities in schools and educational institutions. This extracurricular management information system's construction employed a research technique encompassing needs analysis, system design, software development, implementation, and evaluation. During the needs analysis step, we conducted interviews with schools and educational institutions that have experience managing extracurricular activities. The interview results were used to design the system according to the user's needs. The findings of this analysis serve as a basis for developing suitable information systems. This research has developed software that utilizes cutting-edge technology to enable system access through various devices, such as PCs, cell phones, and tablets. In addition, we prioritize data security and user privacy during the development of this system. Implementing an extracurricular management information system has undergone testing in multiple schools and educational institutions. Evidence from the test results demonstrates that this method can enhance the effectiveness of overseeing extracurricular activities. The incorporation of cutting-edge technology enables users to access the system through various devices, including PCs, cellphones, and tablets, thereby enhancing user flexibility and accessibility. This system's implementation and testing have been limited to a small number of schools and educational institutions. An enormous scope is required to ensure the generalizability of the research outcomes.

Conceptional design of photoneutralization test system for negative ion-based neutral beam injection

Neutral beam injection is one of the effective heating methods in the field of magnetic confinement fusion, and neutralization is the most crucial link in the case of negative ions. To further increase the neutral beam injection power, improve the long pulse operation capability, and optimize the efficiency of the NNBI system, further research and verification about the neutralization mode are needed. Theoretically, photoneutralization can achieve more than 90% neutralization efficiency. However, maintaining stable operation of the megawatt laser cavity over extended periods poses corresponding challenges. Additionally, the cost associated with laser target surpasses the benefit gained from increased neutralization efficiency, leading to its lack of practical application thus far. This paper proposes a solution to these issues by designing a single-channel, multi-fold photoneutralization verification system utilizing the CRAFT NNBI one-quarter and one-half size negative source test equipment. An outline of the system's test and diagnostics approach is provided. Key parameters such as laser target thickness, negative ion energy, beam shape and efficiency of the photoneutralization system are numerically calculated. Combined with the experimental data of the negative source test platform, theoretical calculations show that the neutralization efficiency can achieve 63% with the system efficiency exceeding 40%. Even by increasing the incident laser power or the number of reflections, neutralization efficiency can be increased to 95%, with a simultaneous increase in system efficiency to 60%. Maintaining efficiency while increasing incident laser power could reduce the number of reflections to approximately ten, reaching an acceptable threshold. However, this adjustment will increase the irradiation density of a single mirror from 660W/mm2 increases to 3000W/mm2. This paper methodically designs a practical laser neutralization verification platform, which is expected to substantially improve the neutralization efficiency, and facilitate practical application and validation.

ENSURING THE FUNCTIONAL STABILITY OF THE INFORMATION SYSTEM OF THE POWER PLANT ON THE BASIS OF MONITORING THE PARAMETERS OF THE WORKING CONDITION OF COMPUTER DEVICES

The functional stability of the information system of the power plant is ensured by a complex of processes and mechanisms that are capable of maintaining the normal operation of the system even in the event of errors, failures or negative impacts. The aim of the research. An important aspect of ensuring the functional stability of an information system is the monitoring of its healthy state, as it helps to identify, analyze and respond to any problems in a timely manner, ensuring the reliable and uninterrupted operation of the system. It was decided to choose a test diagnosis based on the principle of a wandering diagnostic core. Research results. An algorithm for detecting failures in the system has been developed based on the decryption of the totality of the results of the system's test checks. The developed software application allows you to monitor the state of various components of the information system and detect possible problems or failures in a timely manner in order to support the continuous operation of the system. This application allows you to increase the reliability of diagnostics, reduce the time of diagnostics, and carry out diagnostics with the specified completeness and depth. The depth and completeness of diagnosis is determined by the test task. Verification. To confirm the correctness of the developed software product, mathematical modeling of the process of diagnosing the information system, which was divided into several subsystems containing a certain number of modules, was carried out. For the division into subsystems, the number of modules in each subsystem is important - it should not exceed 30 modules. This limitation is due to the limited computing power of modern microprocessor technology during the solution of a class of NP-complete problems.

PROTOTYPE SMART PARKING AT STMIK AKBA BASED ON MICROCONTROLLER USING RADIO FREQUENCY IDENTIFICATION (RFID) TECHNOLOGY

This study aims to design a prototype smart parking using a microcontroller is expected to provide convenience for parking lot users at STMIK AKBA, making it easier for drivers to find out the availability of parking slots and where the location of the empty slots is in a parking lot and at the same time test the performance of the prototype using RFID. The results of this study indicate that using this system can provide information to parking users quickly and effectively. The results of the implementation of this system can run well based on the results of system testing in its use which get the results of the system's feasibility test with the average time for access takes 3 seconds and the average time for access to exit takes 6 seconds with a suitable category for use.

Sistem Pakar Dan Layanan Konsultasi Kesehatan Mental Remaja Menggunakan Metode Forward Chaining Berbasis Website

Mental health has become an increasingly important issue in today's society. However, awareness of the importance of mental health, especially among teenagers, is still lacking. Mental health services are generally conducted in person, which causes many people to be hesitant or have difficulty accessing them. Additionally, detecting someone's mental health requires the assistance of a psychologist. To address these issues, an expert system and counseling service for adolescent mental health are developed using the forward chaining method based on a website platform. This system is developed using the waterfall method and programmed in the PHP (native PHP) programming language. The system's testing is conducted using black box testing. With the existence of this expert system, it is hoped that awareness and understanding of mental health will increase, aiding in the detection of individuals' mental health and providing easy access for them to receive the necessary assistance. The results of the system's testing using black box testing for the developed system show a success rate of 100%.

Micro-shear Bond Strength of an Alternative Self-etch Application of "No Wait" Universal Adhesive to Caries-affected and Sound Dentin in Permanent and Primary Teeth.

This study aimed to compare the micro-shear bond strength (μSBS) of caries-affected dentin (CAD) and sound dentin (SoD) in primary and permanent teeth using an alternative self-etch application of "no wait" universal adhesive. Flat midcoronal dentin surfaces from 72 permanent third molars and 72 second primary molars were distributed randomly into 12 groups according to the substrate SoD and artificially-created CAD (pH cycling for 14 days) and the adhesive system (GLUMA Bond5, a two-step etch & rinse adhesive, GLUMA Bond, a one-step self-etch adhesive, and Tokuyama Universal Bond, a one-step self-etch adhesive) (n=12). Bonded dentin resin discs were put through micro-shear bond strength testing after 10,000 thermocycles. The results were evaluated using two-way ANOVA and the Bonferroni test with a significance level of α = 0.05. When compared to SoD, the etch & rinse system's test results on artificially created CAD showed a statistically significant poorer bonding performance in both permanent and primary teeth in all groups (p<0.05). While the bond strengths of permanent teeth using total-etch adhesive on sound dentin were statistically significantly higher than those using Tokuyama Universal Bond adhesive (p<0.05), there was no significant difference in sound dentin in primary teeth (p>0.05). The etch & rinse system performed the poorest of all adhesive systems on CAD. The Tokuyama Universal Bond's adhesive strength was similar in SoD and CAD on primary teeth. The use of Tokuyama Universal Adhesives can speed up restorative treatment in pediatric dentistry.

Selfsupport Assistive Device for Visually Impaired People Using Iot

Assistive device tailored for visually impaired individuals to navigate streets, public spaces, and seeking aid independently. It outlines the key components of the system, including a microcontroller board, various sensors, cellular communication, GPS modules, IoT technology, and a Bluetooth instruction provider are showcasing the technological backbone supporting its functionalities. The system primarily employs sensors to track the user's path and detect obstacles, alerting them through sound and wrist vibrations. Notably, it also notifies nearby individuals when assistance is required and sends alerts, alongside the user's location, to registered family members and caregivers via phone messages. Furthermore, registered phones can retrieve the system's location and enable real-time tracking of VIP. The abstract underscores the system's thorough testing and verification process, ensuring its functionality effectiveness. Lastly, it emphasizes the system's superiority over existing solutions and anticipates its significant positive impact on enhancing the quality of life for visually impaired individuals.

Realization of a composite ferroelectric characterization test system using a modified constant current method and a modified virtual ground method.

A composite ferroelectric characterization test system constructed using a modified constant current method (CCM) and a modified virtual ground method (VGM) has been successfully designed and implemented. By sending instructions to the microcontroller through software, the system's test mode can be easily changed by arranging the switching status of six switching elements. When validating the system, a dual-channel precision source/measure unit B2912B was used to verify this design. There is also parasitic capacitance that cannot be ignored in this commercial machine. This parasitic capacitance affects the appearance of the entire hysteresis curve. However, the parasitic capacitance values also differ in various test current ranges. In addition, to confirm the data credibility of this composite ferroelectric test system, Keysight B1530A and Radiant Premier II were used to conduct cross-verification between different systems. The results obtained between different systems show good consistency. Furthermore, reproducible and recoverable imprint phenomena were found in this composite system during interactive validation using VGM and CCM methods. After designing different voltage profiles for verification, it was found that the root cause of this imprint phenomenon was the difference between the final polarization state of the previous test and the pre-initialized polarization state. This imprint phenomenon exists in traditional Pb(Zr, Ti)O3(PZT) ferroelectric capacitors and Hf0.5Zr0.5O2-based ferroelectric capacitors. Fortunately, this imprint phenomenon is reversible. Moreover, this imprint phenomenon disappears through the design of the time-varying voltage profile on the ferroelectric capacitor of the CCM method.

Design and Building of an Automatic Water Filling System on Water Container Media Based on Arduino Esp8266

In the era of rapidly developing technology, innovation is important to facilitate human life. Water is the main need for all living things, especially humans, so it needs to be managed efficiently. Water filling in reservoirs is usually still done manually, which can cause a waste of clean water. Manual water filling requires humans to control the pump as needed. However, it often happens to forget to turn off the pump after the reservoir is full, which can cause a waste of water and electrical energy. To solve this problem, the idea is to make an automatic system with Arduino ESP 8266 called "Design of Automatic Water Filling System on Arduino ESP 8266 Based Water Reservoir". This system uses ultrasonic sensors to measure the water level in the reservoir. When the water reaches a certain level, the system will activate the water filling, and the user can monitor the water level in real time through a mobile device. This research aims to design and test this automatic water replenishment system to avoid water waste. The result is expected to be an efficient solution better than the manual system and beneficial in clean water management. This research will answer important questions about this system's design, workings, and test results. The main conclusion of this research is the need for improvements in the design and implementation of automatic water filling systems. Further analysis, adjustments, and retesting are needed to overcome the obstacles encountered.

Gamma irradiation system's performance tests.

This study reviews the performance analysis of a 137Cs irradiation system that has recently been installed in the laboratory of Uzbek National Institute of Metrology. The laboratory is responsible for calibrating calibration facilities and for calibrating most protection level radiation monitoring instruments used in medical, nuclear, industrial and academic settings in Uzbekistan. This system employs the most advanced radiation safety standards, along with 21st century source automation methods. In this work, we review the system's performance according to ISO 4037 and present measurement uncertainty budget. Our analysis shows excellent results in terms of scattered radiation, beam uniformity and field size, change in source position, test for source impurities, chamber stability and source calibration, and all these parameters fully comply with the requirements of ISO 4037.

Manufacture and testing of ARGUS: A pole climbing surveillance robot

South Africa needs rapidly deployable surveillance in situations such as public marches and periods of unrest. As these events can often last several hours, short-term solutions, such as multi-rotor drones, are generally not feasible. The proposed solution, the Automated Robotic Guardian for Urban Surveillance (ARGUS) platform, is a rapidly deployable pole-climbing robot for surveillance and situational awareness. This paper outlines the system's manufacture, testing, and analysis. The platform was tested under various laboratory and real-world conditions against predefined user specifications. Test results demonstrate that the system can ascend and descend multiple existing pole infrastructures and maintain a hold position without the motors consuming power while on the pole.

Suppressing solar PV output fluctuations by designing an efficient hybrid energy storage system controller

The stochastic nature of solar photovoltaics (PV), marked by high-frequency voltage fluctuations due to dynamic climatic conditions such as cloud cover and temperature variations, presents a significant challenge to power quality stability, especially in microgrids. This variability poses a threat to the stability of power electronic devices responsible for power control and monitoring, potentially compromising the power grid's stability. To address this challenge, energy storage systems (ESS) are commonly employed. In this study, we develop a hybrid energy storage system (HESS) incorporating a battery, supercapacitor, and fuel cell. The primary aim is to adjust the inverter voltage for the photovoltaic system using newly developed proportional-integral (PI) and model predictive control (MPC) controllers within the HESS framework. Importantly, this controller eliminates the need for precise knowledge of system parameters and offers robustness, insensitivity to parameter changes, and resilience to time-varying external disturbances, ensuring satisfactory performance. By mitigating power fluctuations, the generated power can be seamlessly integrated into the grid, significantly reducing costs associated with device damage in the power path.Notably, we integrate the proposed photovoltaic system with an RLC series load using an IGBT inverter. To assess the performance of the HESS in the proposed photovoltaic system, four distinct scenarios are examined. These scenarios involve altering the PV system's location and testing two energy storage systems, namely the battery and fuel cell, which are separately designed components of the HESS for a 14-bus microgrid.

Financial Optimization Budget Allocation Model Based On Big Data and Data-Driven Technology

The research on financial planning and budget management methods using big data technology is mainly based on the limitations of traditional financial planning and budget management in processing large amounts of data, real-time analysis, and prediction accuracy. By integrating big data technology, financial planning and budget management can become more dynamic and adaptable. This can enable enterprises to analyze historical data and market trends, and more accurately formulate financial budgets to make the most timely decisions. Through experimental data, it can be concluded that the use in financial planning and budget management can significantly improve the financial efficiency and decision-making quality of enterprises. It can be seen that the budget management effect of the financial planning and budget management system with the addition in the manual review process increased from 53.41% to a maximum of 128.30%, and most of the data was above 114.76%. The accuracy rate of the system's testing plan, improvement success rate, and completely infeasible judgment accuracy were all above 98.35%. It is not difficult to find that enterprises can optimize budget allocation through data-driven methods, better understand market and customer needs, and achieve revenue growth and cost savings, ultimately improving their competitiveness.

Artificial Neural Network-Powered, Driverless Vehicle Concept Development

Autonomous cars are now possible due to significant advances in robotics and intelligent control systems. Before these vehicles can safely operate in traffic and other hostile environments, there are many navigation, vision, and control issues. We want techniques that are both cost-effective and efficient, so that the field of research and academia may fully embrace self-driving cars. Within this scenario, we need something that can convert people to autonomous automobiles and include existing vehicles so that academics and explorers can access them. This study proposes a flexible mechanical layout that can be assembled in a short time and installed in most modern automobiles; it can also be used as a stepping stone in the development of autonomous vehicles. Using various actuators, conventional automobiles can be converted into autonomous vehicles. In the context of motor vehicle automation, motors are often used as actuators. In addition to motors, a pneumatic system was developed to automate the predetermined steps. An autonomous vehicle's mechanical arrangement is crucial, and it must be regularly updated and built to be robust in the face of dynamic conditions. We re-implemented two additional convolutional neural networks in an effort to conduct an objective test of their proposed network and compare our system's structure, technical complexity, and performance test during autonomous driving with theirs. This predicted network is around 250 times larger than the Alex Net network and four times larger than Pilot Net after training. Although the complexity and measurement of the publication's system are lower than other models that contribute lower latency and greater speed throughout inference, the operation was claimed by our system, which achieved autonomous driving with an equivalent efficacy as that achieved with two other models. The projected deep neural system reduces the need to infer ultra-fast computational hardware. This is important for cost efficiency, scale, and cost.

Navigating Rover Using Arduino

Abstract: The objective of the proposed system is to use Arduino to guide a rover. The connectivity will be the necessary electronic circuit. The PWM signal of a microcontroller powers the DC motors on the rover. The rover may be maneuvered along a straight path or any other path it chooses by manipulating each motor separately or in tandem. The rover is programmed with Arduino. The results of the system's implementation and testing in a real-world setting demonstrate its ability to precisely navigate through a variety of terrains and avoid obstacles. The suggested method may find use in search and rescue missions, environmental monitoring, and autonomous farming. Overall, navigating rover shows that creating a reliable and efficient rover navigation system is possible even with a commonly used programming language like Embedded C.

Application of edge computing-based information-centric networking in smart cities

Many data resources and network availability are needed for smart city applications to execute at their highest efficiency level. Demand for these objects is driving up data traffic, which in turn is placing strain on the network. The 5G-enabled Internet of Things applications address these difficulties in smart city applications. This article proposes an Information-centric Networking System using Multiaccess Edge Computing (ICNMEC) to reduce computation offloading and optimize data traffic. This system's 5G network slicing approaches combine edge computing and software characterization. Internet of Things applications have been used to store and analyze the information gathered. In addition, an algorithm known as OMNM (Optimized Memory Network Management) is created to control network traffic better and better use of storage. With minimal delays, network traffic, and storage ratio, the system's modelling tests demonstrate that it is very efficient. This method can progressively enhance the pace at which one can access and use the system. The performance assessment shows that the proposed method can improve the efficiency ratio of 95.141%, storage utilization ratio of 60.1% and access rate by 0.9, reducing network traffic and delay by 0.6.

Determining cost and placement decisions for moderate complexity NAATs for tuberculosis drug susceptibility testing.

Access to drug resistant testing for tuberculosis (TB) remains a challenge in high burden countries. Recently, the World Health Organization approved the use of several moderate complexity automated nucleic acid amplification tests (MC-NAAT) that have performance profiles suitable for placement in a range of TB laboratory tiers to improve drug susceptibility tests (DST) coverage. We conducted cost analysis of two MC-NAATs with different testing throughput: Lower Throughput (LT, < 24 tests per run) and Higher Throughput (HT, upto 90+ tests per run) for placement in a hypothetical laboratory in a resource limited setting. We used per-test cost as the main indicator to assess 1) drivers of cost by resource types and 2) optimized levels of annual testing volumes for the respective MC-NAATs. The base-case per test cost of $18.52 (range: $13.79 - $40.70) for LT test and $15.37 (range: $9.61 - $37.40) for HT test. Per test cost estimates were most sensitive to the number of testing days per week, followed by equipment costs and TB-specific workloads. In general, HT NAATs were cheaper at all testing volume levels, but at lower testing volumes (less than 2,000 per year) LT tests can be cheaper if the durability of the testing system is markedly better and/or procured equipment costs are lower than that of HT NAAT. Assuming equivalent performance and infrastructural needs, placement strategies for MC-NAATs need to be prioritized by laboratory system's operational factors, testing demands, and costs.

EVALUATION OF THE E-LEARNING SYSTEM OF PT. OTAK KANAN THROUGH BLACKBOX TESTING AND SYSTEM USABILITY SCALE (SUS)

In everyday life and education, the internet and information systems play a key role in providing information services to the educational community. Learning has transformed into an online method known as e-learning, which utilizes technology as a means of education. PT. Otak Kanan is currently introducing E-Learning to support students and interns, and they are developing the E-learning Sigarda application. Software testing is an essential part of this process to ensure the quality and functionality of the application and to prevent errors during development. In the testing of the E-Learning Sigarda application, the Blackbox Testing method is used to examine the application's functionality, while the System Usability Scale method is employed to measure user satisfaction. The test results demonstrate the application's alignment with test case scenarios on both admin and user pages. Additionally, the system's E-Learning testing, using the System Usability Scale method with 15 respondents, yielded a score of 91, falling within the "Acceptable" category of the Acceptability range and receiving an "A" rating on the Grade Scale, along with a "Best Imaginable" evaluation in the Adjective rating.

Design and Implementation of Virtual Try-On System Using Machine Learning

Abstract: Virtual try-on systems have become increasingly popular in the e-commerce industry, allowingcustomers to virtually try on clothes and accessories before making a purchase. However, current virtual fitting methods often suffer from pixel disruption and low resolution, leading to unrealistic try-on images. To solve this problem, we propose a Parser Free Appearance Flow Network (PFAFN) methodology that generates try-on images by simultaneously warping clothes and generating segmentation maps while exchanging information. Our experimental results show that PFAFN outperforms existing methods at a resolution of 192 x 256. The proposed virtual try-on system was implemented using Python and TensorFlow. The system's testing and validation were alsodiscussed. Our research contributes to the development of more realistic virtual try-on systems that could enhance customer experience and satisfaction in the e-commerce industry

Human Signature Verification System Using CNN with Tensor flow

One of the most popular verification biometrics is the signature. On checks, forms, letters, applications, minutes, and other documents, handwritten signatures are required. A person's handwritten signature must be individually identified because each individual's signature is unique by nature. Signature verification is a popular technique for confirming anyone's identity while they are not present. Human verification can be inaccurate and occasionally unsure. The use of Convolutional Neural Networks (CNN) for Writer-Dependent models in signature verification is examined in this research. In order to create forged signatures, random distortions were created in real photos using an auto encoder and then fed to the classifier during training. In addition to demonstrating various test outcomes for varying the number of training sets of images, the study describes all image pre-processing procedures that were applied to the image. In the Persian dataset, the system's average test accuracy is 83% after 22 real photos were used to train it. When the model was trained on nine real photos, accuracy dropped by 9.4%. Key Word: Offline Signature Verification, WD (Writer Dependent), CNN (Convolutional Neural Network), FAR (False Acceptance Ratio), FRR (False Rejection Ratio), Auto encoder