Predetermined Period Of Time Research Articles

Performance improvement of Grid-Connected Wind Energy Conversion System through Definite Time Horizon Control and MPPT based on Adaptive Observers

This research work investigates the implementation of Definite Time Horizon Control (DTHC) through an observer in a grid-connected Wind Energy Conversion System (WECS) equipped with a Permanent Magnet Synchronous Generator (PMSG). The main objective is to achieve sensorless Maximum Power Point Tracking (MPPT). To achieve this goal, mechanical rotational speed and torque estimates are exploited from an adaptive nonlinear observer. In addition, this work explores how the DTHC improves on the MPPT technique, enabling faster and more accurate tracking of the maximum power point. The proposed controller, unlike traditional non-linear controllers, rapidly stabilizes the WECS, tracking reference trajectories in a short, pre-determined period of time. Indeed, it demonstrates robustness in the face of unpredictable WECS parameters, adapting to variations thanks to a robust control design. Mathematical demonstrations of the defined time horizon stability and the resilience of the suggested WECS controllers are detailed in this investigation. This DTHC method improves rotor speed control, enabling more efficient sensorless MPPT. It contributes to improved WECS performance for following dynamic references and enhances adaptability against unpredictable parameters. In addition, it provides sophisticated control capabilities for the grid connected converter, improving the smoothness and efficiency of electrical energy injection.

Fenomena Live Streaming Shopping guna Meningkatkan Impulsive Buying Intention dalam E-commerce: Kajian SOR

This research was conducted to analyze the influence of Gamifaction elements such as Challenges, Points, Enjoyment, Badges on Brand love which is mediated by Customer Engagement and moderated by Immersion on Gamifaction users in e-commerce. This research refers to research conducted by (Tsou & Putra, 2023). In this research, the research design used is quantitative research. The data analysis method used in this research is the Partial Least Square method based on Structural Equation Modeling. Research data was taken by means of Cross Sectional Studies, because the data was collected within a predetermined time period and period, by conducting survey research by distributing questionnaires with Google Forms to Gamifaction users on e-commerce and the data was processed using Smart PLS versi 4.0 software. The results show that all Gamifaction elements (Challenges, Points, Enjoyment) except Badges have been proven to be factors that directly influence Customer engagement and Customer engagement has been proven to be a factor that directly influences Brand love. Apart from that, Customer engagement has also been proven to mediate an indirect relationship between all Gamifaction elements (Challenges, Points, Enjoyment) except Badges towards Brand love and Immersion has been proven to mediate an indirect relationship between Customer engagement towards Brand love.

Implementasi Gamifikasi dalam E-commerce: Mengungkap Upaya Peningkatan Brand Love melalui Customer Engagement yang Dimoderasi Immersion

This research was conducted to analyze the influence of Gamifaction elements such as Challenges, Points, Enjoyment, Badges on Brand love which is mediated by Customer Engagement and moderated by Immersion on Gamifaction users in e-commerce. This research refers to research conducted by (Tsou & Putra, 2023). In this research, the research design used is quantitative research. The data analysis method used in this research is the Partial Least Square method based on Structural Equation Modeling. Research data was taken by means of Cross Sectional Studies, because the data was collected within a predetermined time period and period, by conducting survey research by distributing questionnaires with Google Forms to Gamifaction users on e-commerce and the data was processed using Smart PLS versi 4.0 software. The results show that all Gamifaction elements (Challenges, Points, Enjoyment) except Badges have been proven to be factors that directly influence Customer engagement and Customer engagement has been proven to be a factor that directly influences Brand love. Apart from that, Customer engagement has also been proven to mediate an indirect relationship between all Gamifaction elements (Challenges, Points, Enjoyment) except Badges towards Brand love and Immersion has been proven to mediate an indirect relationship between Customer engagement towards Brand love.

Penerapan Mudharabah Pada Lembaga Keuangan Syariah

The problems examined in this study are related to implementation Mudharabah according to Kompilasi Hukum Ekonomi Syariah (KHES) and mekanism Mudharabah in Bank Syari’ah Indonesia. This type of research is qualitative research that builds meaning based on data obtained from the field. The procedure for this qualitative research is processing data which will later produce descriptive data in the form of written and spoken words from people and behavior that can be observed. Data collection was carried out by conducting observations, in-depth interviews and documentation. Data analysis is carried out by giving meaning to the data that has been collected, then from this data a conclusion is drawn. The results of this study reveal that the implementation of mu??rabah in Sharia financial institutions, namely Bank Syari’ah Indonesia has fulfilled and is in accordance with Islamic law and what is contained in it Kompilasi Hukum Ekonomi Syariah (KHES). On BSI implementation of the contract Mudharabah only on collecting funds from customers, namely savings Mudharabah and deposit Mudharabah in the distribution of funds are not used. This is due to the large risks that will be accepted by bank BSI who must bear all losses experienced by customers as capital managers. Then the profit sharing or ratio received must be based on an agreement between both parties and will be received every month and within a predetermined time period.

Future Intentions of First and Final-Year Nursing Students at Kenya Medical Training College

Purpose: To explore the nursing students’ future intentions upon graduation.
 Methodology: The study adopted a comparative cross-sectional survey of first-year nursing students and final-year nursing students on their future intentions upon graduation. The sample size was determined using Fisher et al., formula. Participants were selected through simple random sampling and those who met the eligibility criteria were included in the study. An online questionnaire was administered using a free Open Data Kit (ODK). The summary sheet from ODK software was downloaded, and data was cleaned, coded, and entered into R statistical package for analysis. Descriptive frequencies were generated for demographic and social characteristics; chi-square tests and proportion tests were used to determine significance when appropriate. Frequency counts, median, and percentages were tabulated for categorical variables.
 Findings: The study revealed that 99% (224/226) of the students would like to pursue a career in nursing after completing the diploma training. A higher proportion 69.1% (155/224) of the students who intend to pursue a career in nursing would prefer to pursue their nursing career outside of Kenya. There is a significant (P=0.004) difference since between the two groups as a higher proportion 77.5% (100/129) of Students in their first year of the study indicated they would prefer to pursue their career outside Kenya compared to 56.7% (55/97) students in their final year of the study. The study also revealed that 98.2% (222/226) of the students intend to pursue a degree in nursing upon completion of the KRCHN training.
 Unique Contribution to Theory, Practice, and Policy: Regarding policy, this study suggests that the government collaborate with other nations to develop regulations that allow nurses to pursue education and employment abroad. After completing their training, nurses should be required to stay in Kenya for a predetermined period of time and should as most student nurses would wish to emigrate; thus, this will help alleviate the shortage.

APPLICATION OF WEATHER PREDICTION TOOL USING ARTIFICIAL NEURAL NETWORK

In the modern world, weather forecasting is a vital occurrence. Even if weather prediction is entirely automated and made possible by technologies like Weather Research & Forecasting (WRF), Advanced Research WRF (ARW), and Weather Processing System (WPS), it's still a difficult and interesting topic because forecasts aren't always accurate. The process of forecasting weather is complex, dynamic, high-dimensional, and ongoing since it incorporates a wide range of atmospheric phenomena. The intricacy of the criteria needed to forecast the weather means that even short-term forecasts are problematic. Artificial neural networks are perfect for weather forecasting because of their ability to learn from past data in addition to analyzing it and generate forecasts for the future. It is possible to simplify weather forecasting. By using the data gathered at a certain station over a predetermined period of time to train artificial neural networks (ANN) with back propagation for supervised learning. They are used to forecast the weather after the model has been trained. The model is revealed to anticipate the values as unknown values as an experimental technique. The results show promise and encourage us to keep working toward this objective.

On the pricing of capped volatility swaps using machine learning techniques

A capped volatility swap is a forward contract on an asset's capped, annualized, realized volatility, over a predetermined period of time. This paper presents data-driven machine learning techniques for pricing such capped volatility swaps, using unique data sets comprising both the strike price of contracts at initiation and the daily observed prices of running contracts. Additionally, the developed model can serve as a validation tool for external volatility swap prices, flagging prices that deviate significantly from the estimated value. In order to predict the capped, future, realized volatility, we explore distributional information on the underlying asset, specifically by extracting information from the implied volatilities and market-implied moments of the asset. The pricing performance of tree-based machine learning techniques and a Gaussian process regression model is evaluated in a validation setting tailored to the use of financial data.

Estudante de Pedagogia e membro do GEMA na UNEB

This article aims to assess marine and terrestrial life on the village beach in the municipality of Imbituba in Santa Catarina., as species variations over a predetermined period of time, with demonstrations of changes that are produced in the environment, by the constant movement of people on the beach, and the constant presence of residues left by the population. An analysis of the different species found will be made, demonstrating the interactions of living beings that inhabit this location with the need for certain ones, often in the midst of garbage and the constant presence of people, who use the beach as leisure. The study sought to identify the main species that inhabit this location.

Peningkatan Kompetensi UMKM dalam Penyusunan Anggaran Penjualan di Cikarang Pusat

The goal of sales budget support is to help companies or organisations create, implement, and oversee their own sales budget. The amount left over from the purchase price after products or services are sold for a predetermined period of time is known as the selling price. Analysing past data, answering client questions, determining target markets, and creating winning marketing campaigns are all steps in the process of creating a sales budget. The purpose of this step is to assist employees of SMEs in lowering sales pressure in the context of money management and business growth. This activity is intended to disseminate information about the advantages of lowering the purchase price, how fair competition can assist SMEs in reaching their financial objectives, and how this process can be maximised. This activity is anticipated to offer insights into the advantages of sales budget support, how SMEs may attain their financial objectives with the appropriate strategy, and how this process can be improved for increased efficacy. By offering advice on how businesses should plan and manage their sales budgets, this activity can also add to the body of knowledge on financial management and business planning. Over time, support from sales budgets can play a significant role in a company's ability to succeed and expand sustainably.

Pelatihan Personal Branding dan Strategi Komunikasi bagi Tutor Muda (Troopers) Armidale English College (AEC)

In the midst of competition in the digital era like today, every individual is required to be able to always improve their abilities in order to continue to compete. Every individual must improve their abilities. Two things that are very important in facing a competitive business environment are personal branding and communication strategies. Therefore, we, the Telkom University Community Service team, would like to fully support the Armidale English College (AEC) Troopers to develop their knowledge and skills regarding personal branding and communication strategies by providing offline training. Building a good personal branding requires continuous knowledge enrichment and training. With the knowledge of the importance of building a strong personal branding and managing good communication strategies, it is hoped that these young tutors can set a good example for their juniors and also prepare themselves to face the increasingly fierce competition in the future where each individual must be able to showcase their own strengths. By participating in the training and mentoring program for a predetermined period of time. Partners will gain specific knowledge and skills in implementing personal branding, from introduction to evaluation.

Pemberian Kompensasi untuk Meningkatkan Kepuasan Kerja Karyawan pada Perusahaan Kontruksi

Compensation is one of the factors that plays a significant role in employee performance. Compensation is a form of return or appreciation that employees receive for the work they have done within a predetermined period of time. Apart from motivational support factors, work environment and leadership style, compensation has a very important role in maintaining employee performance levels. This is because every employee has the desire to be able to fulfill their life needs through the fulfillment they receive for the performance they have given. The method used in this research is a qualitative method in the form of a literature review study using previous research sources to compare several theories from several previous research journals. The results of this research show that recovery has a significant positive influence on employee performance.

ITB AAS Indonesia Informatics Study Program Value Information System

The Grade Management Information System (SIPAN) is a web-based grade information system in the ITB AAS Indonesia informatics study program which is used to support the activities of lecturers in conveying the grades of the courses taught, administrative officers in terms of grade recapitulation, student grade information which is private, and supports activities of the study program coordinator in monitoring the development of academic activities in terms of grades. The aim and objective of developing SIPAN is to assist higher education institutions in managing student grades. With web-based software, lecturers can submit student grades at any time within a predetermined time period and have an internet connection. Likewise with students, they can see their own grades anytime, anywhere, as long as they have an internet connection. The study program coordinator can monitor the extent to which lecturers at their home base match their grades. The expected final result will be the realization of a well-integrated information technology-based student grades management process, neat record keeping, and integration with the Attendance Information System.

Analysis of Monitoring Performance by AMC Officers at Juwata Tarakan International Airport, North Kalimantan

Every airport operator is required to provide facilities that meet the requirements for aviation safety and security. In order for airport facilities to function properly, the operator is required to carry out supervision within a predetermined period of time. Each airport is required to provide a Follow Me Car and provide parking stand supervision by AMC according to the applicable SOP. The purpose of this study was to determine and analyze the performance of supervision by AMC officers at Juwata Tarakan International Airport, North Kalimantan. The research used a qualitative descriptive approach, the research was conducted from September to October 2023 by conducting structured interviews with 3 informants, namely the person in charge of the unit, senior and junior AMC by using a data validity test. Secondary data is in the form of documents, books, journals and SOPs as supporting and complementary data for writing this research. Data analysis techniques used in this study are data reduction, data presentation, drawing conclusions and verification. Researchers use technical triangulation so that the data in this study proves its validity. Obstacles faced by AMC unit officers are the lack of AMC officers, lack of coordination between AMC officers and ground handling officers, and the absence of CCTV facilities in the parking stand area. These obstacles can be overcome by AMC officers coordinating with each other accompanied by the person in charge, conducting ramp checks on the apron once every 3 hours using a follow me car so that the parking stands are always safe and protected from dangerous goods, providing marshallers guiding the aircraft to the parking stands using the follow me car service.

Design and Fabrication of Automatic Cattle Feeder System Using IOT

The old-fashioned method of physically feeding cattle takes time. Before feeding the animals along the side of the feed fence, the autonomous cow feeding system employed in this research travels a predefined path for a specified amount of time. The feed mechanism is operated over a predetermined time period by the prototype using an Arduino circuit. Considering that more than 40 percent of total work time is devoted to this activity, feeding constitutes one of the higher expenditures for farm owners in addition to being directly tied to the production of the cattle. Due to the lack of technological utilization, the dairy business has a significant Labor need. These labors are particularly expensive for the owner of the dairy farm since they are only required for 3 hours each morning and three hours in the evening, but they must be paid for the entire day. Hence, an automatic cow feeding equipment has been created to decrease the owner effort and expense. In this research we use two barrels to store the cattle food and a sensor is placed to open the barrel opening to fill the food in the collector in which the cattle eat their food. This process is done for period like morning once and evening once.

Comparison of Direct Method and Grammar Translation Method of Learning English on Students' Achievement at the University Level

By comparing the effects of using the Grammar Translation Method (GTM) and the Direct Method (DM) on students' academic progress, this study digs into the area of education. The study uses a mixed-methods design for data collection. The performance of a sample consisting of 30 pupils from an education university was assessed during a predetermined time period. Through pre- and post- assessments that gauge linguistic proficiency in terms of vocabulary retention, grammatical accuracy, and reading comprehension using quantitative data. Students shared their teaching approach opinions and experiences through interviews and surveys, collecting qualitative data. The results of this study revealed that the grammar-translation method has better performance when compared with the Direct Method. The quantitative analysis identifies each method's advantages and disadvantages in terms of language skill development. The qualitative data gave a more in-depth knowledge of how students are motivated, engaged, and feel about the two techniques.

Customer Churn Prediction Based on the Decision Tree and Random Forest Model

The rate at which customers discontinue utilizing a company's services during a predetermined time period is known as the customer churn rate, also known as the attrition rate. Hence, developing a prediction model to predict the potential churn customers will generate an early alert for the company to provide them with better service. This study is divided into two main parts: dealing with a dataset about customer behaviors in a bank and building churn prediction models using machine learning algorithms. The data preprocessing part includes dataset description and some adjustments on original dataset to make it accessible for analysis, including deleting unimportant feature and adjusting feature names. Then the study apportions the modified dataset into train set and test set with an 80-20 split. Next, the study imports two kinds of machine learning algorithms, random forest classifier and decision tree classifier, to build churn prediction models. In each model, the study first performs feature selections and visualizes feature importance in bar graphs. Then the study tests each model on testing set and visualizes model performances using confusion matrices and accuracy scores. The results show that both models get most predictions correct while random forest model has a better performance due to its higher accuracy score of 91%.

The determination of zinc using flow injection and continuous flow analysis combined with a polymer inclusion film-coated column: Application to the determination of zinc in alloys and commercial lithium chloride

A column coated with a polymer inclusion film (PIF) containing Aliquat 336 as carrier cast on glass beads packed in a glass tube is described for the separation, preconcentration, and determination of zinc(II) in flow injection analysis (FIA) and continuous flow analysis (CFA) systems. In the FIA method, 200 μL of a sample solution containing 2 mol/L lithium chloride is injected into a 2 mol/L lithium chloride stream. This converts zinc(II) ion into its anionic chlorocomplexes which are then extracted into the Aliquat 336-based PIF by anion exchange. The extracted zinc(II) is then back-extracted into a stream of 1 mol/L sodium nitrate solution and determined spectrophotometrically using 4-(2-pyridylazo)resorcinol as the color reagent. The limit of detection (LOD, S/N = 2) was determined as 0.017 mg/L. The usability of the PIF-based FIA method was demonstrated by the determination of zinc in alloys. The PIF-coated column was also employed successfully in the CFA determination of zinc(II) as an impurity in commercial lithium chloride samples. For this, 2 mol/L commercial lithium chloride solution was passed through the column for a predetermined time period followed by stripping in a stream of 1 mol/L sodium nitrate solution.

Research on Fairy Character in Chinese Classic Novel in Vietnam Ancient Time

This paper aims to present Research On Fairy character in Chinese Classic Novel in Vietnam Ancient time. The study shows: firstly, the authors of legendary novels always emphasize the indelible difference between the two worlds: the fairy world and the earthly world. Second, it is inevitable that fairies leave family ties in the mortal world. Authors often describe that necessity with a conception of a pre-determined period of time. When the due date comes, the fairy will move from the earthly world to the world that belongs to the fairy. Third, in that difference, the choice to leave the earthly world and go to the fairy world shows that fairies tend to leave the tightest ties in the world, which are the ties of power and family, to become to the free world. It can be concluded that the ideal of escapism of fairies in Vietnamese legends is a form of expression of the Taoist ideal of life.

Adaptive Traffic Signal Timer for A Signal in Chennai Metropolitan City Using Python and OpenCV

Background: The current traffic control system in India’s metropolises is ineffective because of the randomization of traffic density patterns throughout the day. For a predetermined period of time, the traffic signal timers switch traffic’s direction. Vehicles must therefore wait for a long time even when there is little traffic. Objectives: To continuously adjust the traffic signal timer based on the varying real-time traffic density and to significantly lessen traffic congestion. Methods: An adaptive traffic light timer is offered by this research using image processing algorithms. The real-time image data will be analyzed by the Raspberry Pi and OpenCV, which will determine when to regulate traffic flow. Findings: The adaptive timer minimizes vehicle waiting time and increases the number of turns granted to cars in each lane to cross the signal, which results in an improvement in traffic flow. Novelty: The use of image processing algorithms, the Raspberry Pi, and OpenCV makes the proposed system highly efficient and effective in adapting to the real-time traffic conditions. The suggested methodology will be more affordable than the currently used methodologies. Keywords: Adaptive Traffic Signal Timer; Intelligent Traffic Control

MP74-14 SUPRAPUBIC CATHETER DRAINAGE FOR THE LONG-TERM MANAGEMENT OF LOWER URINARY TRACT DYSFUNCTION: LONGITUDINAL OUTCOMES AND UTILIZATION PATTERNS FROM A TERTIARY CARE PRACTICE

You have accessJournal of UrologyCME1 Apr 2023MP74-14 SUPRAPUBIC CATHETER DRAINAGE FOR THE LONG-TERM MANAGEMENT OF LOWER URINARY TRACT DYSFUNCTION: LONGITUDINAL OUTCOMES AND UTILIZATION PATTERNS FROM A TERTIARY CARE PRACTICE Faizan Khawaja, Kevin Flynn, Mei Tuong, Charles Schlaepfer, Andrew Metzger, and Bradley Erickson Faizan KhawajaFaizan Khawaja More articles by this author , Kevin FlynnKevin Flynn More articles by this author , Mei TuongMei Tuong More articles by this author , Charles SchlaepferCharles Schlaepfer More articles by this author , Andrew MetzgerAndrew Metzger More articles by this author , and Bradley EricksonBradley Erickson More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003348.14AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Suprapubic catheters (SPC) are considered to be a temporary, and often emergent, means to drain urine from the bladder. However, many individuals are managed with SPCs for longer periods of time, often because of patient choice. Our objective is to describe this population and report on the long-term outcomes of chronic SPC use for lower urinary tract dysfunction (LUTD). METHODS: An institutional review of CPT and ICD-9/10CM codes was conducted to identify a cohort of patients in which an SPC was placed at our institution over an 8-year period. Patients were then excluded if the SPC was placed emergently for lower urinary tract trauma (e.g. pelvic fracture) or for a pre-determined time-period. The final cohort was then analyzed for peri-operative and long-term complications, and for SPC survivability. RESULTS: Of 370 SPC placed from 2014-21, 190 met inclusion criteria (131 Male; 59 Female). Indications for SPC were most commonly Acquired Neurogenic Bladder (40%), Urinary Retention/Atonic Bladder (27%), Urinary Incontinence (11%) and Congenital Neurogenic Bladder (8%). Bladder management prior to SPC was indwelling urethral catheter (53%), intermittent catheterization (32%) and none (15%). There were no Clavian Grade III/IV complications with placement. Initial clinic SPC exchange was successful in 98% (4 required repeat tract dilation). Subsequent exchanges occurred in urology clinics (54%), care facilities (23%), interventional radiology (12%) and at home by patient (11%) at a median interval of 3.5 weeks. >30 day complications were common (51%), but all Clavian Grade I/II (UTI 27%, bladder spasms 13%). At median follow-up of 431 days, 74% continued to use their SPC (Figure 1), of which 53 (38%) perform daily irrigation. CONCLUSIONS: SPC is a commonly used, well-tolerated, poorly studied means of chronic bladder drainage for a wide-variety of LUTD in patients not suitable or willing to undergo surgical reconstruction. Considered to be a management method of last resort, its popularity amongst patients nonetheless suggests its use should be studied in further detail. Source of Funding: none © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e1075 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Faizan Khawaja More articles by this author Kevin Flynn More articles by this author Mei Tuong More articles by this author Charles Schlaepfer More articles by this author Andrew Metzger More articles by this author Bradley Erickson More articles by this author Expand All Advertisement PDF downloadLoading ...