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The goal of this research is to find cleaner fuel sources, focusing on NOx with nano additives, palm oil and novel blend of diesel compared with plain diesel. Palm oil which was trans esterified is blended with diesel at a ratio (20%) is then added with TiO2 nanoparticles (50ppm) by ultrasonic sonicator and was compared with diesel. An onboard stationary engine using Kirloskar single-cylinder diesel engines measuring 87.50 mm in bore and 110 mm in stroke length was used for the experiments, in conjunction with a standard eddy current dynamo-meter. The G power calculation was used with an 80% threshold to determine a sample size of 40. Based on the experimental trials, the emission for neat diesel is 123 ppm of NOx and the novel blend(P20D80) with the best injector timing of 20 is 43 ppm of NOx. In comparison to regular diesel, the NOx emissions measured for the P20D80 biofuels in this study are 34.9% lower. [ABSTRACT FROM AUTHOR]

Health is a significant factor that contributes to human wellbeing and economic growth. The easy and quick availability of health-related information is possible through Artificial Intelligence (AI). The user-friendly feature in the smart phone force the consumer to use AI powered mobile application for checking the health. Further the application monitors the health of the consumer throughout day and night. The public-private partnerships in the field of AI and health have been promoted through companies' investment on AI that are encouraged and supported by government. For adopting AI-based application in healthcare, it is necessary to provide training support to the employees working in AI. Training is important to manage and take atmost care for the sensitive information relating to health care, protect data from unintentional information disclosure and effective utilization of AI systems. The medical decision i.e solution that have been taken through AI are justifiable and explainable. This study helps to understand the application and benefits of using AI in the health care sector. The steps taken to use AI-driven healthcare especially in India presents many challenges. There arises difficulties while using AI powered mobile application for managing human health in India and therefore the article emphases on threats of AI driven healthcare as articulated by Brookings Institution. In addition to that the study also highlights the future of AI-powered application in health care. [ABSTRACT FROM AUTHOR]

Trekking is a popular recreational activity. Hiking is popular among many people. Out-and-back, destination, and loop walks are the most prevalent types of walks. There is no such thing as an "eternal voyage." Trekking is more challenging than hiking, requiring the navigation of diverse and frequently harsh situations. Hiking is becoming a more popular pastime. Less oxygen is present at higher altitudes. Hikers' oxygen levels are constantly monitored to obtain oxygen immediately. A suffocating person does not receive oxygen during the early procedure. Oxygen concentrators can help people who have difficulty breathing. Many people who have breathing problems use an oxygen generator. After oxygen has been concentrated, it can be administered to patients via a pulse-dose or constant-stream system. Nitrogen is taken from the air using filters and sieve beds, and clean oxygen is added by changing the oxygen concentration and amount using the computer display. A mask or nasal cannula supplies oxygen directly into the airways. A concentrator's oxygen production rate is measured in liters per minute. Individuals can be tracked down using GPS. You can find out where people are by using GPS data. This can shorten the time it takes to save a patient and get them to a hospital. This position is comparable to the COVID-19 scenario, in which patients with Corona who have low oxygen levels are automatically given oxygen. [ABSTRACT FROM AUTHOR]

AFCD-AFACI Project - The Establishment of Asian Food Composition Database (AFCD) is designed to develop the nutritional information database of the food culture of each of the participating member countries. Indonesia is one of the members involved in the AFCD-AFACI project. The food composition table/database can be used to manage the supply and demand of agricultural products, formulate nutrition improvement strategies, promote dietary management, and boost the food industry. All food and nutrition programs require information on the nutrient and non-nutrient composition of natural and processed foods. Currently, the food data listed in the IFCD still has several shortcomings. The objectives of the project are to preserve the food culture and biodiversity in Indonesia region by establish a food composition database. The project used 70 agriculture commodities were determined through a baseline survey, then sampling and analysis were carried out. Systematic guidelines are a critical stage for preparing FCD, starting from sample selection to sample analysis to obtaining a valid database. This review provides the reader with an overview of recent techniques that can be used for sample preparation and instrumentation for food analysis which can provide wide options to the analysts in providing data to their FCD. [ABSTRACT FROM AUTHOR]

The prevalence of financial news on the internet has made it easier for investors to access information. However, the fast-changing nature of the financial market and the time-consuming task of sifting through articles can be overwhelming. To address this issue, a framework has been developed and is proposed to automatically construct and update a knowledge graph (KG) for financial market information. The KG stores relational information between entities in a directed graph format, providing a graphical visualization that allows investors to examine complex relationships between entities that play a role in the stock market. The framework involves five main phases: scrapping online articles, triples extraction, coreference resolution, predicate linking, and entity linking. The precision rate achieved by the framework is 27.69%, with a recall rate of 7.14% and an F-1 score of 0.1136 in extracting correct information from articles and integrating it properly into the KG. [ABSTRACT FROM AUTHOR]

Nowadays, Power Electronics is paying greater attention to the rapid advancement of power semiconductor devices. This paper examines the quantitative analysis of the Direct Matrix Converter using both MOSFET and IGBT for high efficiency converters. As a result, the IGBT has a substantially lower switching loss than the MOSFET. Additionally, switching loss for MOSFETs will significantly increase at high operating temperatures, whereas switching loss for IGBTs hardly varies with temperature. In this paper, by comparing switching power loss, temperature, volume, weight requirements, power quality, efficiency, and static characteristics, the performance of IGBT and MOSFET is assessed. It has been concluded through a comparison of the device parameters that IGBTs outperforms MOSFETs in terms of smaller loss, greater efficiency, and smaller size. [ABSTRACT FROM AUTHOR]

The theoretical blood flow velocity profile in the aorta for four specimens is modelled for Womersley numbers in the range of 10, taking into account the viscous effect. Blood arteries of various diameters from humans, dogs, rabbits, and mice were chosen. The flow domain shows a pulsatile wave as a single straight tube with a rigid wall that is propagating at infinite wave speed. A linear second-order PDE with pressure amplitude as a forcing function is created using the Navier- Stokes equations. The resulting general equation is a Bessel differential equation with complex arguments and Zeroth-order Bessel functions. Using the proper boundary conditions, the velocity profile and related shear stress were determined. The impact of the velocity profile and Womersley number on pulsatile flow was identified for a range of forcing functions. [ABSTRACT FROM AUTHOR]

Indonesia is a country that has a tropical climate with an average daily irradiation value of 4.8 kWh/m2. In general, the large potential of solar energy in Indonesia is the main capital as a source of energy that can support electricity energy security. However, the problem faced in planning the solar panel plant (SPP) is efficiency factor which is closely related to the amount of daily irradiation that can be converted into electrical energy optimally. This study investigates characteristics of solar radiation as preliminary analysis for solar power plant construction planning at PLN Institute of Technology. For this purpose, quadratic regression model is used for prediction using data solar radiation between 8 AM to 4 PM. Main result shown that applied model can provide the characteristics of solar irradiation in a day at observed place with a correlation level is 0.9288 (R = 0.9288) and obtained Mean Absolute Percentage Error (MAPE) is 18.6% (accurate is 81.4%). Presented information can be used as a basic reference in planning SPP development at PLN Institute of Technology. [ABSTRACT FROM AUTHOR]

This study focuses on developing fuel to enhance base horsepower with nano additives, palm oil and a novel diesel blend compared with plain diesel. Materials and Methods: Palm oil which was transesterified, is then blended with diesel at a ratio(20%), was then added with TiO2 nanoparticles(50 ppm) by ultrasonic sonicator and was compared with diesel. Experimentation was carried out with a Kirloskar single-cylinder diesel engine with Bore - 87.50mm diameter and stroke length-110mm onboard stationary engine coupled with eddy current dynamometer with conventional settings. The sample size was 40 and the sample size was calculated using the G power calculator with 80%. Results: Based on the experimental trials, the base horsepower for neat diesel is 1.31 kW, and for the blend(P20D80) with compression ratio 17.5 was 1.29 kW and for 19 was 1.27 kW. Within the limits of this study, the base horsepower acquired in this research for the prepared biodiesel P20D80 of the same compression ratio was 1.52% lower and 3.05% lower with a compression ratio of 19 compared with the plain diesel with a compression ratio of 17. [ABSTRACT FROM AUTHOR]

The Vietnamese climbing perch, Anabas testudineus, is a commercial and export-oriented aquaculture sector. However, intensive farming, mainly based on word-of-mouth recommendations and tremendous development, has resulted in an outbreak of harmful microbes. Besides that, the dietary effects of antibiotics on aquatic disease are circumstantial and have not been investigated under infection. The results revealed that E. ictaluri caused high virulence in climbing perch, with the behavioral and clinical signs usually followed by death. The virulence threshold of the bacterial concentration with an LD50 of 1.58 × 104 CFU/ml, the effect of erythromycin on the survival and infection rate of climbing perches A. testudineus following induced infection with antibiotic-resistant E. ictaluri was found in this study. The mortality rate in non-medicated artificially infected fish (93.33%) was considerably higher (p < 0.05) than that in medicated artificially infected fish (28.9%), and no mortality was recorded when injected with NaCl (0.85%). The levels of invasive erythromycin-resistant bacteria (ERB) in the kidney of artificially infected fish medicated for 5 days were significantly greater (p < 0.05, 3.5-4.8 times) than in non-medicated artificially infected fish. Overall, an antibiogram with an Edwardsiella ictaluri strain isolated from climbing perch confirmed that it was multi-antibiotic resistant with the beta-lactamase, lincosamide group, and exhibited intermediate resistance to erythromycin. According to the facts, climbing perch collected in Ho Chi Minh City (HCMC) was found to be infested not only with extremely pathogenic bacteria but also with multi-antibiotic resistant strains, posing a threat to human health. As a result, further research on antibiograms and/or innovative techniques for managing aquatic diseases should be conducted employing mixed infections and pathogen interactions to benefit the optimum treatment. [ABSTRACT FROM AUTHOR]

The project's goal is to determine the cleanliness of the water and automatically distribute it to the people's needs. There is a lot of corruption in the water distribution system nowadays, especially at the distribution sites. It is managed in adecentralized and manual manner. Water is a vital resource for individual humans and their continued existence. Due to acertain quantity of people migrating from rural to urban areas, the population of cities is fast growing. A unique approach basedon IoT is offered to satisfy the need for water supply, distribution, and quality control (Internet of Things). A microcontroller,sensors, and a motor are all part of the proposed system. The Internet of Things technology is used to wirelessly monitor thewater distribution infrastructure and track water waste. Any central office can perform monitoring. The problem hasan impacton a variety of water management operations, including water consumption, distribution, and the formation of water dust in thewater tank. This problem can be solved by putting in place a proper monitoring and information updating system. This is something we'd like to offer in the field ofwater management. We aim to teach readers about the importance of water conservation and equip them with the tools they need to do it. [ABSTRACT FROM AUTHOR]

Agriculture is a field that plays an essential part in strengthening a country's economy, especially in agrarian countries like India, where agriculture and crop productivity play a large role in the economy. The research focuses on comparing machine learning and Deep learning algorithms in predicting total crop yield production. The parameters considered for the study are State name, District name, Year, Season, Crop, Area and Production. The dataset is resourced from the data.gov.in website. Random forest from Machine Learning and Sequential model from Deep learning are compared, and the performance metric considered for the study is R2 score. The objective is to assess how well the independent variable predicts the variance in the dependent variable. Random Forest algorithm achieved an R2 score of 0.89, whereas Deep Learning Sequential algorithm gave an R2 score of 0.29. [ABSTRACT FROM AUTHOR]

TGA analysis proved that PMMA reduced its thermal decomposition and the glass temperature was not influenced by it. PMMA undergoes very little melting near to the melting temperature. However, the differential scanning calorimetry test revealed that melting does not involve a significant amount of latent heat. At around 160°C the PMMA suffers little melting but swelling (bulging) on the surface of the sample can be identified in the region adjacent to the light interaction. For black PMMA, the decomposition started slowly at 170°C and then accelerated from about 320°C until full decomposition at 395°C with a drop of weight of about 0.008%/°C. But in clear PMMA, the decomposition temperature started at 239°C with minimal mass loss to 320°C then rapid mass loss and was fully decomposed at 404°C with loss of weight of about0.003%/°C. [ABSTRACT FROM AUTHOR]

In this paper we study locally W1 and W8 curvature tensor of φ-symmetric K-contact manifolds w.r.t. the quarter-symmetric metric connection (briefly q-s-m connection) and some results are obtained. [ABSTRACT FROM AUTHOR]

The aim of reviews is a innovative developments in aluminium alloys with more attention for selecting proper composition, different processing techniques, reinforcements and different heat treatment methods to enhance the properties. Aluminium alloys are suitable for many applications due to its light weight and their properties are better compare to conventional alloys. Apart from the microstructural modification addition of reinforcements and coatings were also improves the properties of aluminium alloys. Due to the notable properties are added to the insertion of Lithium into the aluminium matrix, it is observed that there is no much suitable innovation on insertion of Li to Al-alloys has to be studied. The interest for inserting Lithium in aluminium alloy is given. A historical developments & usage of aluminium lithium alloys are studied for past few years. The first and second generation Al-Li alloy limitations are presented and remedies are discussed. Even there is research gap in utilization of third generation aluminium lithium alloys AA2195 has to be study. There is a research gap to improve excellent properties by latest developments taken place in aluminium lithium composites. The present work is focus on development of better economical method for the fabrication of the aluminium Lithium alloys and its composites is a very important factor for extending their application. The present interest in development aluminium lithium alloys and its nanocomposites because these alloys are having less density, more specific strength and more specific moduli. Medium Frequency Casting Method is used for preparation of aluminium alloys composites [ABSTRACT FROM AUTHOR]

Control system process is an important process that occurs in the branch of industrial world, one of which is in the realm of the oil and gas industry in production of the upstream process. One of the main instrument in the upstream oil and gas process is a separator which has the function of separating the fluid content of crude oil which flows through the pipe into several phases. In a three-phase separator, the separator will separate the heavy content of crude oil into three phases, namely the gas, water and oil phases before being distributed to the gathering station. In fact, almost all control processes separator instrument at PT. Pertamina EP still using the conventional PID control model which must be continuously monitored by human resources 24 hours per day. Sometimes also with a manual control system like this causes many factors in the calculation of daily logging data errors. Therefore, this research designed an intelligent system- based control method, which is a neuro-fuzzy control. This neuro-fuzzy control method is designed using Adaptive Neuro- Fuzzy Inference System (ANFIS) algorithm model with input in the form of setpoint, error, and error difference from the process of fluid separator variable, namely fluid level (h). The research was conducted using the Simulink / MATLAB application by entering the transfer function of the separator mathematical model and then making a comparison by looking at the response graph and parameters between the PID and ANFIS controller models. The results of this research conclude that the performance of the ANFIS model controller on average has a much better overshoot than the PID model because it is always close to zero in each set point condition and the ANFIS model has a better error value when the set point is 5 with a difference in error 0.712 instead of the error value of PID controller model. [ABSTRACT FROM AUTHOR]

Transformation from traditional mass and batch manufacturing into lean manufacturing has helped many organisations to become more successful in their business. However, there are facts and figures that show most manufacturing organisations have failed to sustain this success in the long run. One of the reason is, the lack of effective measurement criteria to assess their progress in lean transformation. The purpose of this article was to develop a valid assessment tool that measures manufacturing organisations' lean transformation sustainability level. An assessment tool in the form of survey questionnaire was developed and tested for content validity using a panel of ten experts. An item content validity index was calculated for each indicator measuring lean transformation sustainability. Items with content validity indexes greater than 0.80 were retained and item with lower content validity index were discarded. The assessment tool has evidence of content validity and will need further test using statistical techniques to determine construct validity and reliability. [ABSTRACT FROM AUTHOR]

Plastic waste is a global problem in every country, especially in Indonesia, where recycling industries are very few. Furthermore, aside from the expensive costs required, processed varieties are also highly limited. This study examines a simple method with good potentials to be developed by the government as well as the community and the result of this study is expected to be one of the solutions in overcoming the waste problem. Besides, based on data obtained from the Kebon Kongok Regional Landfill, West Lombok, the average composition of the community waste was almost 73.5% plastic, 24.6% organic materials and 1.9% B3 (dangerous and toxic material) waste. The method developed was very simple, as it involved heating a cleaned plastic mixture about 168°C in a closed system, and subsequently, the gas and smoke produced were liquefied and cooled. Heating is carried out in a reactor made of stainless still with a total volume of about 20 liters equipped with temperature control. Meanwhile, the remaining combustion that was in the molten phase was therefore molded into building materials, e.g., paving blocks, with compressive strength that is comparable to ordinary concrete. In addition, the results of liquid smoke condensation, further, produced two light fractions that were not mixed. GCMS analysis showed that the hydrocarbon compound has the number of carbons in range 8-12 atom for both fractions. Based on the FT-IR and UV-Vis spectrums confirmed the presence of aromatic benzene groups in both the fraction, while the second fraction contains more complex hydrocarbon than the first fraction. Major hydrocarbon in the first fraction is n-nonene and 5-methyl-1-heptene, whereas major hydrocarbon in the second fraction is n-nonene, 5-methyl-1-heptene and n-decene. [ABSTRACT FROM AUTHOR]

Antibacterial assay of series hydroxyxanthone that was a synthesis via cyclization of phenol derivatives and acid derivatives with Eaton Reagent has been investigated through Escherichia coli, Bacillus cereus, Staphylococcus aureus and Salmonella typhimurium by diffusion well method. The possess antibacterial activity against Methicillinresistant Staphylococcus aureus (MRSA) has been reported by molecular docking. The result reveals that the 1,3,6-tryhydroxyxanthone were effective in inhibiting the growth of Escherichia coli, Bacillus cereus, Staphylococcus aureus and Salmonella typhimurium in the inhibition zone of 30, 30, 35, than 34 mm respectively with MIC at 10%. There was a binding interaction between 1,3,6-tryhydroxyxanthone and the amino acid residues such as His38, His35, Val177, Lys150 and Met41 into methicillin-resistant Staphylococcus aureus (MRSA) (2x3f.pdb). [ABSTRACT FROM AUTHOR]

Nowadays, low power operational amplifiers (op-amp) are highly demand for most of the applications such as in medical and communication system. In this project, two stage op-amp is designed and operated at 1.8 V supply voltage. The supply voltage is scaled down to reduce the power dissipation of the op-amp. This is because the power will be high when there is a large supply voltage. The design is simulated and analysed using Mentor Graphic Pyxis software. This two stage op-amp is designed using the Silterra 0.13 µm process technology. The operational amplifier provides a Direct Current (DC) gain of 21.18 dB and a unity gain bandwidth of 6.31 MHz. The gain margin obtained from the op-amp is 14.07 dB and the phase margin of the op-amp is 94.26 ° for 3 pF compensation capacitor and 10 pF load capacitor. The result shows that circuit able to work at 1.8 V power supply voltage and the total power dissipation for the op-amp is 5.35 mW. [ABSTRACT FROM AUTHOR]

The BN-800 reactor overload system is designed to overload fuel assemblies and consists of a set of nodes that provide guidance for the reload mechanism at given coordinates, grabbing, lifting, lowering and rotating assemblies. On the throat of the BN-800 reactor there are three rotary plugs, the smaller of which is located inside the middle one and the middle one inside the large one. On a smaller tube placed the capture mechanism of the fuel assembly. The plugs, which are the reactor cover, perform the role of thermal and biological protection, as well as, guide the reload mechanism to the given coordinates of the core in order to capture the fuel assembly and move it to the required zone with the given coordinates. In this paper, we will consider the problem of minimal-time cast a gripper located on a smaller traffic jam to a given fuel assembly, assuming that the traffic jams will turn in series and at each moment only one traffic jam can be turned. The solution of such a task will contribute to the reduction of the stopping time of the power unit for carrying out operations on refueling. For this problem, a mathematical model was constructed to describe the movement of three connected plugs. Based on that, an algorithm for constructing optimal control was proposed considering given assumptions. [ABSTRACT FROM AUTHOR]

The programmed arranging framework has been accounted for to be unpredictable and a worldwide issue. This is a direct result of the failure of arranging machines to join adaptability in their plan idea. So as to enhance the profitability in assembling ventures, crude material arranging is a critical issue. In this work plan and examination of pick and spot robot has been proposed for material arranging. Three unique cases (I) Large (ii) Small and (iii) Heavy were broke down utilizing this manufactured robot. PC program was utilized for perform more tasks utilizing this robot. Without human Interface better mechanization is pertinent in the work region so as to build the efficiency and along these lines diminishing the expense of manufacturing. This robot has a human knowledge that can isolate the two unique items even without human. [ABSTRACT FROM AUTHOR]

Current waste management is not able to handle the disposal rates due to the growing global population and economic expansion are increasing in Malaysia. The waste is expected to rise to 41,035 tonnes per day by the year 2026. The responsibility for the separating waste is critically lacking. The solid waste composition of Malaysia is made up of 45% of food waste, 24% of plastic, 7% of paper, 6% of iron and glass. This garbage condition is wet and mixed. The moisture content of MSW is about 55.01%. Current practices for municipal solid waste (MSW) disposal such as landfill and incineration poses a serious problem on the environment and health. Leachate generated from landfill is polluted liquid and consisted high nitrogen compounds, salts, heavy metal. Incineration generates dangerous gases such as carbon dioxide (CO2), sulfur dioxide (SO2), and oxides of nitrogen (NO and NO2, together known as NOx). Malaysia has more than 900 rivers have been polluting due to the improper solid waste management. The implementation of the thermal treatment plant (incinerator) in Malaysia was failed due the high cost of the operation. The high moisture content of the waste and a poor technical expertise in maintaining the incinerators caused the failure of the incineration operation. Thus, moisture reduction is needed prior before goes for incineration. Therefore, the current waste management system adopted by incinerator to be made improvement based on Torrefaction for effective energy recovery system. The moisture contents must be decrease to 75% before subjecting to pyrolysis or incineration. The high heating value (HHV) of the MSW is a main impact on the cost of the operation. The implementation of the pyrolysis system can be reduced the total amount of MSW before buried in landfill. The MSW pyrolysis is one of the ideas that has become increasingly in recent years. It can prevent the formation acidic substances and reduce the amount of garbage before sending over to the landfill and save the transportation fuel. [ABSTRACT FROM AUTHOR]

CaSO4:Dy nanoparticles synthesized by chemical co-precipitation method was irradiated with 100 MeV O7+ Swift Heavy Ions (SHI) in the fluences range from 1 x 1011 to 5 x 1012 ion/cm². An XRD spectrum shows the orthorhombic phase with crystallite size around 65 nm. The TL dosimetric peak appeared at 554 K which seems to be a deep level trap co-related with good linear dose response. These nanoparticles also revealed the good sensitivity along with low fading (4.3 % for 2 months). Finally, this results suggest that CaSO4:Dy nanoparticles can be used for the ion dosimetry. [ABSTRACT FROM AUTHOR]

This paper describes new algorithms for spread spectrum time domain reflectometry (SSTDR) for detecting and locating faults in photovoltaic (PV) panels. Specifically, we present a new method for identifying the impedance of multiple loads (such as PV panels) on a single transmission line. This method is based on adapting a well-known algorithm, known as orthogonal matching pursuit, to match simulated waveforms with multiple reflections in an SSTDR waveform. We demonstrate that our method successfully extracts waveform data from the SSTDR experiments and correctly estimates load impedances corresponding to reflections in this waveform data. We experimentally demonstrate that our method correctly estimates the capacitance values of various capacitive loads on a transmission line with an error as low as4%. [ABSTRACT FROM AUTHOR]