Performance Test Results Research Articles

Simple Synthesis of Cellulose Triacetate from HVS Paper Waste and Its Application for Optode

The optode membrane is a membrane that can identify ions in an aqueous solution. One of the most widely used optode membranes is cellulose triacetate based. Cellulose triacetate (CTA) has the characteristics of hydrophobic, transparent, elastic, and affordable. There are sources of cellulose triacetate that can be utilized and waste paper is one of them. Waste paper is extracted to obtain the cellulose, then by acetylization reaction to produce cellulose triacetate. The resultant cellulose triacetate has a degree of substitution (DS) of 2.89 and an acetyl group percentage (% AG) of 43.64. The standard and synthesized CTA optode membrane are tested for performance with various parameters, ie optimum pH, optimum immersion time, working range, limit of detection (LOD), and limit of quantification (LOQ). The standard CTA optode membranes and synthesized worked at pH 3 and 4 with optimum immersion time for 15 min, respectively. The optode produced a linear response in detecting Cr(VI) ion in the concentration range of 0.02-1 mg/L for standard CTA with an R2 of 0.9726 and 1-25 mg/L for synthesized CTA with an R2 of 0.9764, The limit of detection (LOD) and limit of quantitation (LOQ) were 0.0015 mg/L and 0.0051 mg/L for standard CTA, while 0.0224 mg/L and 0.0749 mg/L for synthesis CTA respectively. Since both optode membranes' performance test results are adequate, the synthesis results of CTA optode membranes can be employed as one source of cellulose triacetate.

The results of performance tests of details of machines combine cutting device hardened electrospark processing electrode from the amorphous alloy 84KHSR

The article contains results performance tests of cutting parts of domestic and foreign harvesters harvesters, hardened electrospark processing. Identifi ed mathematical and graphical dependence of wear on the achievements of these surfaces, and also obtained the numerical values оf wear.

METHODOLOGY AND EXAMPLE OF CALCULATING THE RATIONAL RESOURCE OF AXIAL-PISTON HYDRAULIC MACHINES OF MOBILE EQUIPMENT

The article analyzes approaches for creating models for optimizing the durability of mobile machine units. On the basis of the selected model, in which the target function is the total specific costs of purchasing the machine and the costs of maintaining its working condition, a method of calculating the rational resource of axial-plunger hydraulic machines has been developed for the condition when the resource of the hydraulic machine is limited by the resource of only its plunger pairs. The methodology, built on the basis of the chosen model for optimizing the durability of simple technical systems, takes into account the patterns of wear of plunger pairs under certain operating conditions, and also takes into account the proposed dependencies for calculating their total wear limit. The methodology consists of five consecutive operations, namely: determining the total marginal wear; obtaining experimental patterns of wear of plunger pairs over time in the form of regression equations; calculation of the number and periodicity of technical maintenance of the hydraulic machine for the inter-repair cycle; calculation of the rational resource of the hydraulic machine.The results of the comparative calculation of the rational resource of the adjustable axial-plunger pump 321.224 of the hydraulic system of the single-bucket excavator EO-3323 according to the developed method are also given.The total marginal wear of the pump was determined according to the criterion of reducing its efficiency, namely from the condition of a drop due to the wear of its volume coefficient of useful action by 30 %.To obtain the patterns of wear of the pump's plunger pairs, the results of previous operational tests of the pump were used for two variants of its lubrication: lubrication with ordinary hydraulic oil and lubrication with oil whose anti-wear properties are activated by an external electric field. Specific costs for the purchase of the pump, which are included in the durability optimization model in the form of depreciation deductions, were calculated for the inter-repair cycle. The specific costs of maintaining the working condition of the pump were equal to the costs of its maintenance, during which hydraulic oil and filters are replaced, that is, the pattern of wear of plunger pairs is returned to the starting point.

Preliminary Evaluation of The Performance of Micro Combine Harvesters in Rice Farming

Rice is the most widely used staple food, especially in Asia, accounting for about 90% of the world's rice production. In Malaysia, the cultivated area is as much as 730,016 hectares, and the show was about 3.3 million metric tons throughout the country in 2016. Currently, big combine harvesters are used in Malaysia to harvest rice, allowing for quicker harvesting. However, harvesting with a big combine harvester is impossible in areas with soft soil. As a result, employing a micro combine harvester is one of the options for harvesting in areas with soft soil problems. This study aims to evaluate the performance of a micro combine rice harvester. Performance evaluations were conducted at the MARDI Seberang Perai, Penang research plot. The pedestrian-type micro combines harvester with a triangular rubber crawler type was used in this study. The working width of the machine is 1 meter. The rate of harvesting losses is also evaluated as part of the study. The performance test results of the micro combine harvester show that the farm's efficiency is about 70 percent, with a work rate of 0.10 ha/hour. By keeping the harvester's speed at 1.5 km/h, this micro combine harvester's potential work rate is 0.15 hectares per hour. The losses during the harvesting operation were calculated to be 2.2 per cent. The study's results show that using micro combine harvesters can assist in carrying out rice harvesting work in areas where soft soil issues make it challenging to use the standard large combine harvesters. Farmers that grow rice on a small scale also benefit from using this micro combine harvester. The small percentage of losses demonstrated the effectiveness of this micro combine harvester.

A Universal Image Compression Sensing–Encryption Algorithm Based on DNA-Triploid Mutation

With the fast growth of information technology (IT), the safety of image transmission and the storing of images are becoming increasingly important. Traditional image encryption algorithms have certain limitations in transmission and security, so there is an urgent need for a secure and reliable image encryption algorithm. A universal compression sensing (CS) image encryption (IE) algorithm based on DNA-triploid mutation (DTM) is presented in this paper. Firstly, by using the CS algorithm, an image is compressed while obtaining a range of chaotic sequences by iteration of a chaotic map. Then, DNA sequences are generated by encoding the image and, based on the DTM, new mutant DNA sequences are generated according to specific rules. Next, the chaotic sequences are operated at the DNA level to perform confusion and diffusion operations on the image to ensure the security of the data. Finally, DNA decoding is carried out to obtain the compressed encrypted image. The simulation results show that the algorithm can effectively complete encryption and decryption of images. The performance test results show that the algorithm has a sufficiently large key space of 10587. The information entropy of the cipher image is close to 8. In summary, both simulation experiments and performance tests fully show that a high level of security and reliability for the proposed algorithm in protecting image privacy is achieved.

Entertainment robots based on smartphone terminals for mobile network music E-learning mode

This study adopted the method of system requirements analysis to design the functions and structure of the network music E-learning mode system on smartphone terminals. Through research and user requirement analysis, the core functions and requirements of the system were determined, and the system was designed in terms of functionality and structure. The system’s functional design adopts speech recognition technology, enabling entertainment robots to accurately understand user voice commands and questions. Through natural language processing and machine learning algorithms, entertainment robots can analyze user needs and recommend suitable music teaching resources based on their interests and learning goals. Divide the system into two parts: front-end and back-end. The front-end is the user interface, and through a user-friendly graphical interface and interactive design, users can easily operate the system and interact with entertainment robots. The backend is the core processing part of the system, which achieves the application of entertainment robots in the network music E-learning mode on smartphone terminals through the collaboration of the front-end and back-end. The entertainment robot based on smartphone terminals has high effectiveness and feasibility in the application of mobile network music E-learning mode. The performance test results of the system indicate that it can run stably and meet the concurrent needs of a large number of users.

SMART SAFETY HELMET: PENDETEKSI KARBON MONOKSIDA (CO) DI LOKASI PENGGALIAN SUMUR DAN PERTAMBANGAN

The well excavation or drainage process often results in casualties due to the presence of poison gas at the bottom of the well. Workplace accidents caused by toxic gases in mining locations also frequently loss of life. This research aims to create a smart safety helmet, a project helmet for personal protection equipped with an MQ-2 sensor to detect toxic gases, connected to a smartphone application using IoT (Internet of Things) technology. Data collection involves calibration tests and simulation tests. Data analysis employs descriptive statistical analysis in the form of numbers and tables. The creation of the smart safety helmet involves integrating Arduino devices with an MQ-2 sensor, LCD, buzzer, power bank, and IoT technology connected to the mobile phones of operators or project supervisors. This integration enables the helmet to detect and relay information about CO gas and its safety status. Based on the performance test results and calibration tests using Automotive Diagnostic Solutions owned by the Cilacap District Transportation Agency, the smart safety helmet has been proven effective in detecting the presence of carbon monoxide by being worn by mining workers and well diggers, thus detecting CO levels and its safety status. If the CO level reaches 1500 ppm or more, the operator or project manager can immediately prepare rescue measures.

Cobalt doped Prussian blue modified hollow polydopamine for enhanced antibacterial therapy

Give the emergence of drug resistance in bacteria resulting from antibiotic misuse, there is an urgent need for research and application of novel antibacterial approaches. In recent years, nanoparticles (NPs) have garnered significant attention due to their potential to disrupt bacteria cellular structure through loading drugs and special mechanisms, thus rendering them inactive. In this study, the surface of hollow polydopamine (HPDA) NPs was utilized for the growth of Prussian blue (PB), resulting in the formation of HPDA-PB NPs. Incorporation of Co element during the preparation process led to partial doping of PB with Co2+ ions. The performance test results demonstrated that the HPDA-PB NPs exhibited superior photothermal conversion efficiency and peroxidase-like activity compared to PB NPs. HPDA-PB NPs have the ability to catalyze the formation of hydroxyl radicals from H2O2 in a weakly acidic environment. Due to the tiny PB particles on the surface and the presence of Co2+ doping, they have strong broad-spectrum antibacterial properties. Both in vitro and in vivo evaluations confirm their efficacy against various bacterial strains, particularly Staphylococcus aureus, and their potential to promote wound healing, making them a promising candidate for advanced wound care and antimicrobial applications.

Assessment of balance and risk of falls in people over 60 years old

Introduction: Falls of the elderly are a significant problem for public health and healthcare. They are also included in the geriatric giants, and the assessment of balance and risk of falls is an important part of the comprehensive geriatric assessment (CGA). It is estimated that almost one in three people over the age of 65 living independently in a community suffers one fall per year. These estimates increase with age, and in people older than 80 years, every second senior may experience at least one fall. The aim of the study was to assess the balance and risk of falls in people over 60 years of age living independently in society. Materials and methods: The study enrolled 40 seniors over the age of 60 who agreed to participate in the study and met the inclusion criteria. Three functional tests were used to assess balance and the risk of falls among seniors: the Timed Up and Go (TUG), the Four Square Step Test (FSST) and One-leg standing (OLS). Result: The study shows that as age increases, subjects perform worse on the Timed Up and Go rho = 0.38 test; p < 0.05 and in the Four Square Step Test rho = 0.53; p < 0.01. No statistically significant differences were observed between genders or age groups in the One Leg Standing test (OLS), although older people scored worse than younger age groups. There were no statistically significant associations between performance test results and BMI. The average results of the clinical tests show that the seniors in the study had good balance and a low risk of falling.

Computational boundary improvement and performance optimization of the flue gas waste heat cascade utilization system of the ultra-supercritical 1000 MW generator set

Abstract There is no uniform performance test rule and standard calculation method for efficiency improvement of a system that utilizes waste heat from flue gas and it is mainly carried out through turbine parameters, without considering boiler system performance. Given the above problem, in this paper, the steam turbine, boiler and waste heat from the flue gas step-up utilization system are calculated by establishing a thermal model of ultra-supercritical secondary reheating 1000 MW unit. At the same time, unit design data and field performance test results are used for verification. Analysis comparing simulation outcomes with experimental data revealed that the discrepancies in the heat consumption rate per unit, the efficiency of the boiler, and the rate of coal consumption for power generation peaked at a marginal variance of 0.2%. The optimum operating parameters of the system for low-grade flue gas recovery in a cascading manner are obtained through variable operating condition calculations. The optimum value of high-pressure bypass feed-water flow rate is 52 kg/s at 970 MW operating condition. At the same time, the difference between high-pressure bypass effluent and high plus effluent temperatures should be controlled to be close to 0°C, and the optimal value of low-pressure bypass condensate flow rate is 53 kg/s. As the flow of flue gas in the bypass increases, the efficiency of heat exchange in the bypass economizer also increases, resulting in greater absorption of heat in the utilization apparatus for flue gas waste heat, leading to a more effective energy-saving outcome. However, it is necessary to regulate the temperature of both the primary and secondary air to levels that exceed the minimum requirements for the safe functioning of the coal mill.

Effect of Aggregation Structure on Capacitive Energy Storage in Conducting Polymer Films.

Conducting polymers (CPs), a significant class of electrochemical capacitor electrode materials, exhibit exceptional capacitive energy storage performance in aqueous electrolytes. Current research primarily concentrates on enhancing the electrical conductivity and capacitive performance of CPs via molecular design and structural control. However, the absence of a comprehensive understanding of the impact of molecular chain spatial order on ion/electron transport and capacitive performance impedes the development and optimization of advanced electrode materials. Here, a solvent treatment strategy is employed to modulate the molecular chain spatial order of PEDOT : PSS films. The results of electrochemical performance tests and Grazing Incidence Wide Angle X-ray Scattering (GIWAXS) show that Poly(3,4-ethylenedioxythiophene) : poly(styrenesulfonic acid) (PEDOT : PSS) films with both face-on and edge-on orientations exhibit exceptional electronic conductivity and ion diffusion efficiency, with capacitive performance 1.33 times higher than that of PEDOT : PSS films with only edge-on orientation. Consequently, molecular chain orientations conducive to charge transport not only enhance inter-chain coupling, but also effectively reduce ion transport resistance, enabling efficient capacitive energy storage. This research provides novel insights for the design and development of higher performance CPs-based electrode materials.

Advanced incremental erasable pattern mining from the time-sensitive data stream

Pattern mining has been actively advanced and studied in order to process data that is generated in real time, called incremental data. Erasable pattern mining is a concept that extracts erasable patterns as one of the fields belonging to pattern mining. Erasable patterns have useful information in terms of removal, unlike patterns found by other pattern mining methods. The former erasable pattern mining methods, which target incremental data, regard the importance of data identically. However, in real life, recent data are more important and useful than old data, so erasable pattern mining should also process the latest data more significantly in consideration of the feature of real-world data. For this reason, we propose an erasable pattern mining algorithm using an efficient data structure from the time-sensitive data stream. Since the suggested technique performs erasable pattern mining based on a damped window model, it is possible to relatively prioritize the importance of the recent data over the previous data. In addition, it is possible to quickly reflect and efficiently analyze the newly added incremental data due to a list based data structure of the proposed technique. The results of the various performance tests, which are conducted to compare our algorithm with state-of-the-art algorithms, are analyzed, and the analyses indicate that our approach is more efficient than the other latest approaches.

Batch synthesis of 2,4,6‐trinitro‐3‐bromoanisole and its thermolysis and combustion performance

AbstractA new carrier explosive TNBA was batch synthesized by a chemical method. The prepared samples were characterized using SEM, EDS, XRD, IR, XPS, nuclear magnetic resonance, and elemental analysis techniques. The enthalpy of formation of TNBA was measured using a specialized calorimeter that is specially used in testing of explosives and powders. The thermal decomposition performance of TNBA was tested by DSC technology. Meanwhile, the combustion performance of TNBA was also tested. The results of characterizations showed that the prepared sample was indeed TNBA. The enthalpy of formation of TNBA was determined as ΔHf,TNBA=+48.5 kJ/mol. At a heating rate of 20 °C/min, the thermal decomposition peak of TNBA is at TP=285.3 °C, and the activation energy is EK=91 kJ/mol, which is higher than the Tp and EK values of TNT. This indicates that TNBA is a relatively easy to decompose explosive, but the decomposition rate is not fast. The critical temperature for thermal explosion of TNBA reached Tb=247 °C, which is higher than the Tb value of TNT, slightly lower than the Tb value of DNAN, and significantly higher than the Tb value of DNTF, TNAZ, and MTNP. The combustion performance test results showed that the TNBA sample has the highest combustion pressure and the highest pressurization rate; and the TNBA sample has the highest combustion temperature; however, due to the high oxygen balance, the combustion heat of TNBA samples in excess pure oxygen is not the highest.

Modulating composition and electronic structure enhance the catalytic performance of Co2MO4 (M=Fe, Ni, Cu) for NaBH4 hydrolysis

The synergistic effect between metals is of great significance for improving the performance of materials, but the mechanism of synergistic catalytic of bimetallic has rarely been reported in the hydrolysis of sodium borohydride (NaBH4, SB). In this paper, a flower shaped Co2FeO4 catalyst with high catalytic performance was selected from a series of CoxM3-xO4 (M = Fe, Ni, Cu) catalysts by controlling the composition. Based on the results of XPS characterization and density functional theory (DFT) calculation, the influence of component control on catalytic performance was discussed and explained from the perspective of electronic structure, and the "valence band center" and "D-band center" descriptors were introduced into the SB hydrolysis reaction. The simulation analysis results showed that the synergistic effect between Co–Fe elements resulted in the smallest center shift of the D band, the smallest binding energy of the hydrolysis reaction, and the best promoting effect on the electronic structure, manifested as the best catalytic performance. The calculation results were consistent with the XPS characterization results and the experimental results of hydrolysis performance testing, revealing the principle of bimetallic synergistic effect on catalytic performance.

Bimetallic-doped three-dimensional carbon skeleton porous material as efficient catalysts for oxygen reduction reaction

The slowness of the oxygen reduction reaction (ORR) kinetics of the fuel cell cathode has terrifically inhibited its development process. Now it is of considerable importance to research low-cost, multi-defect, high-performance non-noble metal ORR catalysts. Specifically, CuO nanosheets are grown in situ on ZIF-8 to form a composite material (zif-8@CuO), and then undergo a high-temperature carbonization process. Finally, the Zn-Cu codoped composite material Zn-xCu-N/C with a porous structure supported by a three-dimensional carbon skeleton can be obtained. The material has a 3D carbon skeleton support and a rich pore structure, which can expose more active sites. The combination of bimetallic Zn and Cu with carbon materials also increases the overall stability and conductivity of the material, which is beneficial to improvement of catalytic performance. The electrochemical performance test results show that the onset potential and half-wave potential of the Zn-0.1Cu-N/C material are 0.889 V and 0.803 V respectively, with a low Tafel slope of 62 mV dec−1 and excellent long-term stability. After 10000 cycles, the ORR curve only changed 18 mV, while the carbon skeleton can still maintain unchanged.

Evaluation of Lung Function Tests in the Follow-up of COVID-19 Patients Discharged From Razi Hospital in Rasht, Iran

Background: The COVID-19 pandemic has been a significant concern for the global health community since its onset. This study aimed to evaluate lung function tests in the follow-up of COVID-19 patients discharged from Razi Hospital in Rasht, Iran, in 2020. Materials and Methods: This cross-sectional study evaluated lung functional tests, including spirometry and the six-minute walking test (6MWT), in the follow-up of 239 hospitalized COVID-19 cases. All demographical and clinical data, along with the lung performance test results of the patients, were recorded, and statistical data were analyzed using SPSS, version 24. Results: The mean age of the patients was 51.69±13.98 years, and most of them were females. About 60.25% of patients had underlying diseases. The frequency of positive 6 MWT tests during the first three, six, and nine months after discharge was 7.96%, 8.70%, and 14.29%, respectively. In the first trimester after discharge, the 6MWT test was more positive among females. In addition, forced expiratory volume (FEV1)/forced vital capacity (FVC) showed a significant positive relationship with diastolic blood pressure (DBP) and heart rate (HR). After six months, positive 6MWT results were significantly associated with older ages and underlying diseases. The amount of FVC was positively associated with DBP, distance traveled in the 6MWT test, and HR, but it was negatively related to age. Conclusion: The findings revealed that older age, female gender, and underlying diseases were associated with positive 6MWT results, decreased pulmonary function, and higher DBP and HR.

DESIGN AND DEVELOPMENT OF CAMPUS ROOM USE MONITORING APPLICATION BASED ON ANDORID WITH MAGNETIC DOOR LOCK IN THE DEPARTMENT OF INFORMATICS AND COMPUTER ENGINEERING UNM

The condition of campus room doors that are often open has the potential for misuse of campus rooms that do not comply with the schedule set in the room and affect the security of the room facilities. This research aims to produce an Android-based campus room usage monitoring application using magnetic door locks at JTIK FT UNM as well as knowing the results of functional testing and performance testing or system performance. This research uses the Research and Development method with the Rapid Application Development Development model with stages: needs analysis, system design, system building, validation, testing, and final product. The final product of this research is a system developed in an Android-based room usage monitoring application that is integrated with a magnetic door lock using the QR Code feature. In this case, the system utilizes the ESP32 microcontroller as a chip that receives and provides signals according to the program in the system. The test results obtained validation of the Android-based campus room usage monitoring application using magnetic door locks can be said to be valid and suitable for use.

Efficient Ionic Conductor Anode Materials with Heterojunction Structure of MnOx/Si@C Utilized in Lithium‐Ion Batteries

AbstractThe rapid development of alternative energy vehicles has raised higher requirements for electrode materials. Silicon, with superhigh specific capacity, is highly anticipated in the field of lithium‐ion batteries (LIBs). Unfortunately, the original drawbacks of serious volumetric effect and poor conductivity have confined its commercial steps severely. Herein, a novel composite, based on submicron silicon flakes embedded into carbon shell, with heterojunction‐bearing MnOx nanoparticles, is designed and synthesized successfully via sanding process and in situ thermal reduction methods. The results of electrochemical performance tests and related fitting data show that the presence of MnOx particles facilitates rapid Li+ transport and reduces the impedance associated with Li+ diffusion from the surface to the inner core of the MnOx/Si@C material. The two‐dimensional (2D) silicon flakes and uniform carbon shell have positive influence on structural stability and electronic conductivity. Benefit from the rational design, the optimized MnOx/Si@C composite delivers an outstanding cycling stability of 1106.59 mAh·g−1 at 1 A·g−1 over 1000 cycles with a capacity retention of 71.09%. Besides, the goal material possesses a lithium‐ion diffusion coefficient of ≈1.04×10−9 cm2·s−1. This work provides a reference for the mass preparation of advanced anode materials for lithium‐ion batteries.

Simulation of association rule mining based on sensor networks in Chinese language learning recommendation system for college students

Based on the increasing learning needs of students that cannot be met by traditional education in schools, the use of online learning platforms has become a way for many college students to learn Chinese, thereby improving their academic performance and literary literacy. However, it is difficult to guarantee the service quality of online platforms for Chinese learning at present, so this paper proposes an association rule mining algorithm to strengthen Chinese online learning. We using user service quality as a constraint to improve spectrum utilization and energy efficiency, and defining the user state space, borrowing the obtained resource allocation optimization function to reward a small portion of users' communication costs, ultimately obtaining user state space information and one-dimensional state space data. This algorithm performs grouping operations on the data estimated by a large amount of computation, and divides the data into balanced categories to reduce the amount of input data in the network. The performance test results show that this paper has made a great breakthrough in the personalization of Chinese learning, and has outstanding performance in the processing and classification of Big data. There are also some solutions to the problem of too much existing data. In a period of use experience analysis report, we found that the online platform for Chinese learning can give consideration to students' personalized needs and experience.

Design and performance test of a fluidized bed dryer using dry cold air flow for drying marungga leaves

The Marungga tree is a plant that offers numerous benefits. Its leaves can be processed into flour for further processing for various needs. Marungga leaves need to be dried before they can be made into flour. Marungga leaves are sensitive to heat, so high temperature drying should be avoided. Drying in the sun, or at room temperature takes a long time and is unhygienic. To address these issues, a fluidized bed dryer that utilises dry, cold air flow through dehumidification of the air is required. This research aims to design and test the performance of a fluidized bed dryer that uses dry cold air flow. The method used in the research starts from literature study, design, component manufacturing, assembly and performance testing of the dryer. The design results resulted in specifications of the dryer components as follows: dimensions of the drying chamber 500 mm in diameter and 800 mm in height, evaporator, condenser, compressor, blower each 1 HP. The results of the dryer performance test are as follows: dryer air temperature 34.2 °C, relative humidity 54.3%, and dryer air mass rate 0.25 kg/s, with a drying rate of 0.57 kgH2O/s. The evaporator of the cooling system can decrease the absolute humidity of the drying air by 1.6 kgH2O/kg dry air.