Built-in Application Research Articles

Stock market index prediction based on market trend using LSTM

The stock market data analysis has received interest as a result of technological advancements and the investigation of new machine learning models, since these models provide a platform for traders and business people to choose gaining stocks. The business price prediction is a challenging and extremely complex process due to the impact of several factors on company prices. The numerous patterns that the stock market goes, they have been the focus of extensive research and analysis by numerous experts. There are several large data sets accessible, an artificial intelligence and machine learning techniques are developing quickly, and because of the machine’s improved computational power, complex stock price prediction algorithms can be developed. This paper presents stock market index prediction based on market trend using long short-term memory (LSTM). Using built-in application programmable interface (API), Yahoo Finance offers a simple method to programmatically retrieve any historical stock prices of an organization using the ticker name. The standard and poor’s 500 index (S&P 500 index) include the firms that have been taken into consideration here. Utilizing the selected input variable, single-layer and multi-layer LSTM models are implemented, and the measurement parameters of mean absolute error (MAE), root mean square error (RMSE), and correlation coefficient (R) are used to compare each performance. Nearly all of the real closing price’s curve and the prediction curve’s closing price for test data overlap. A potential stock investor may benefit significantly from such a prediction by using it to make well-informed choices that would increase his earnings.

Evaluation of Automated Measurement of Macular Ischemic Changes in Retinal Vein Occlusion With Optical Coherence Tomography Angiography.

The foveal avascular zone (FAZ) is altered in patients with retinal vein occlusion (RVO) and correlates inversely with visual acuity. Optical coherence tomography angiography (OCTA) is an imaging tool to visualize FAZ safely and easily. Automated measurements can facilitate interpretation of OCTA images. In this comparative cross-sectional study, we compare the results of manual measurement of the FAZ with automated measurement by built-in application (Metrix). The study included patients with RVO who underwent OCTA. Manual measurement was compared with automated evaluation by Metrix in 3 mm x 3 mm and 6 mm x 6 mm scan sizes and correlations of the circularity, circumference, and size of the FAZ were calculated. Forty-seven eyes were included in the study. A reliable measurement result in both Metrix 3 mm x 3 mm and 6 mm x 6 mm was found in only 25 of 47 eyes. The mean FAZ in these eyes by manual measurement was 0.50 mm2 compared with 0.20 mm2 and 0.24 mm2, respectively, by automated measurement. A statistically significant inverse correlation was found in both the automated 3 mm x 3 mm and 6 mm x 6 mm measurements for FAZ circumference with FAZ circularity but not FAZ area. The two automated measurements showed no significant bias regarding the size of the FAZ, but the plausibility of the data should be checked on a case-by-case basis. The manual measurements were higher, indicating limited agreement of manual and automated measurements. The information on circularity can point to ischemic maculopathy early in the course of the disease. [Ophthalmic Surg Lasers Imaging Retina 2023;54:462-469.].

Diagnostic accuracy of a dual-energy computed tomography-based post-processing method for imaging bone marrow edema following an acute ligamentous knee injury

This study evaluated the ability of a custom dual-energy CT (DECT) post-processing material decomposition method to image bone marrow edema after acute knee injury. Using an independent validation cohort, the DECT method was compared to gold-standard, fluid-sensitive MRI. By including both quantitative voxel-by-voxel validation outcomes and semi-quantitative radiologist scoring-based assessment of diagnostic accuracy, we aimed to provide insight into the relationship between quantitative metrics and the clinical utility of imaging methods. Images from 35 participants with acute anterior cruciate ligament injuries were analyzed. DECT material composition was applied to identify bone marrow edema, and the DECT result was quantitatively compared to gold-standard, registered fluid-sensitive MRI on a per-voxel basis. In addition, two blinded readers rated edema presence in both DECT and fluid-sensitive MR images for evaluation of diagnostic accuracy. Semi-quantitative assessment indicated sensitivity of 0.67 and 0.74 for the two readers, respectively, at the tibia and 0.55 and 0.57 at the femur, and specificity of 0.87 and 0.89 for the two readers at the tibia and 0.58 and 0.89 at the femur. Quantitative assessment of edema segmentation accuracy demonstrated mean dice coefficients of 0.40 and 0.16 at the tibia and femur, respectively. The custom post-processing-based DECT method showed similar diagnostic accuracy to a previous study that assessed edema associated with ligamentous knee injury using a CT manufacturer-provided, built-in edema imaging application. Quantitative outcome measures were more stringent than semi-quantitative scoring methods, accounting for the low mean dice coefficient scores.

Effectiveness of a Water Intake Program at the Workplace in Physical and Mental Health Outcomes.

IntroductionAdequate water intake is a low-cost and effectively non-invasive strategy for individual health outcomes. We aimed to demonstrate the efficacy of water intake intervention in intensive-labor and static-type workplaces.MethodSmart drinking cups were provided to the participants, and a built-in application (App) associated with the cup was downloaded on their phones. The App collected and recorded the amount of drinking water consumed by the participants set reminders for drinking water and drinking water health education information. We assessed the data, including the amount of and time interval between water intake, sedentary time, the degree of physical and psychological importance of oneself, self-satisfaction, and physical fitness.ResultsAfter the intervention, water intake in the two companies significantly increased during the reminder period compared with the non-reminder period. A significant increase was noted in week 3 in the amount of water intake by the participants after using the App, and the total sedentary time considerably decreased. Furthermore, the interval between water consumption decreased compared with the preintervention interval. The systolic and diastolic blood pressure decreased in the participants working at the static-type and intensive-labor workplaces after the intervention, respectively. The participants ' lower limb muscle performance also improved significantly, and the emphasis on self-care was significantly improved.ConclusionsThe health-promoting effects of the water intake wellness intervention were akin to the butterfly effect. Besides significantly increasing water intake, the intervention improved other health behaviors, thereby benefiting physical and mental health. Hence, promoting water consumption in workplaces till it becomes a habit may benefit the employees.

Developing a Web-Based Information System for Tour Package Ticket Purchases (Case Study: Bersukaria Tour)

The expansion of the tourism industry's information system is one opportunity for growth, as a result, Bersukaria Tour was used as a case study in this study. Bersukaria is one of the MSMEs in Semarang which is engaged in tourism. Although Bersukaria already has a website, its operational procedures and interface design should yet be improved. As a result, the authors create the website to optimize business process flow and enhance visual appeal. The method used is the waterfall which involves the Bersukaria team to find out the needs of the application to be developed. Black box testing is used in the application testing process so that built-in application functionalities can be validated. If there are features that need to be improved, they can be adjusted immediately. The online ticket information system on the website is able to have a positive impact because tour participants do not need to queue and pay offline, making it easier for participants to make reservations. Additionally, participant data is kept in a database, and the website allows users to see updates to the participant quota. The findings of this study should help Bersukaria Tour in creating and improving the website system and increasing interest among local and international audiences in visiting Indonesia's tourist destinations.

Highly transparent flexible CuI film for antibacterial applications

In this study, the CuI film was firstly revealed to have significant antibacterial activity. The as-prepared CuI thin films on flexible plastic (polyvinylchloride, PVC) substrates were developed by the liquid iodination method. This method is simple, low-cost and environmentally friendly to fabricate flexible CuI films. A suitable reaction time between the Cu3N precursor and aqueous iodine solution is the key parameter for developing highly transparent CuI films, and an average transmittance in visible spectrum was higher than 85%. In addition, the CuI films have prominent antibacterial effects against Staphylococcus aureus and Escherichia coli. These properties indicate that CuI films are promising for built-in application to top layer displays in public places, such as hotel and department stores, ticket machines and touch screens in smart devices.

Religious Exemptions

Religious Exemptions

Chemometrics and Signal Processing-Assisted Design of a Textile-Based Colorimetric Sensing Platform for Real-Time Monitoring of Glucose

Colorimetric analysis of biomarkers in biological fluids, such as sweat and saliva, using textile- and paper-based platforms promises to be a powerful point-of-care analytical tool. Despite exponential advances in material design, device fabrication and image processing over the past years, the majority of paper/fabric-based analytical strips and devices, thus far, are strictly restricted to controlled laboratory settings. In situ and real time monitoring of biological analytes using familiar garments or accessories are centered around electrochemical sensors. In contrast, colorimetric devices that can theoretically enable the quantification of analyte concentration when coupled with image capture devices (such as a smartphone cameras) are comparatively fewer and less advanced. Here, garment design strategies and various embodiments of wireless communication electronics are applied cooperatively to afford a noninvasive platform for quantitative monitoring of a test-bed biomarker, glucose. The electronics-embedded garments contain two functional parts: a functionalized cotton substrate with enzyme/chromogenic reagent and a near-field communication device. The enzyme/chromogenic reagent mixture is directed into a circular reservoir created on the cotton substrate via the capillary force of the cotton and hydrophobic wax barrier created via a cheap and simple wax-drawing technique. This wax barrier limits the irregular flow of the reagent mixture. The second part is a near-field-communication system that causes no irritation and discomfort to the skin. Once a smartphone is put at a close distance, the electronic system can enable the wireless transmission. A built-in application was developed to automatically detect the sensor spot via a signal processing pipeline and extract the R, G and B channel intensities for database construction and analysis.The chemical properties and geometric structures of the glucose sensor were optimized with the aid of a combinatorial method—materials optimization and mathematical optimization. The former aims to overcome the blurring and the loss of the signal due to enzyme washout from the detection zone under capillary forces exerted during wear. This problem was mitigated by immobilizing the enzyme inside a chitosan-carboxymethyl cellulose hybrid via a precisely controlled layer-by-layer deposition protocol. The sensor was further characterized by field-emission scanning electron microscopy (FESEM) to understand long term storage stability and surface morphology-dependent colorimetric response.A mathematical strategy was utilized for the design and selection of an optimal near-field measurement system. This optimization procedure is particularly important for commercialization. It aims to minimize the number of experiments and reduce the quantity of the chromogenic reagent mixture that needs to be deposited on the cotton substrate. Central composite designs were used to estimate the effect of individual variables (i.e. glucose oxidase concentration, horseradish peroxidase concentration and 3,3’,5,5’-Tetramethylbenzidine concentration) and their interactions on the optimization of the color intensity. The significance of the main and interaction effects and the applicability of the model were inferred from the analysis of variance (ANOVA). The optimum value was verified and validated with experimental results.This textile-based colorimetric sensing platform exhibits simple-to-fabricate, and cost-effective nature which might facilitate the broad commercial usage in health monitoring and clinical diagnosis.

SMART method utilization for meetinghouse elections in Pekanbaru City

Choosing and looking for information about the meetinghouse in Kota Pekanbaru is a problem for people in need. A Distance of distant location and limited information obtained. This application is built based on Android using Simple Multi-Attribute Rating Technique (SMART) method, there are several criteria used are rental price, capacity, and facilities. The application is built using the JAVA programming language with Android Studio. This system design analysis uses the Unified Modeling Language (UML). The results that this application can help users to choose existing meetinghouses in Pekanbaru City using the SMART method. The search result is a list of meetinghouse names in which there are various information about the meetinghouse and the location to the meetinghouse. The test results of the built-in application can work well and can address the problems faced by the user in determining the multipurpose building elections.

Relationship analysis between body flexion angles and smartphone tilt during smartphone use

Although smartphones are used as essential devices in everyday life, many users are exposed to joint diseases owing to prolonged use. The objectives of this study were to analyze how posture and smartphone tasks affect various body flexion angles and develop an algorithm to classify posture/task and estimate body flexion angles using smartphone tilt data. Eighteen participants performed two tasks (playing a game and reading news) in two postures (sitting and standing) in a laboratory environment. The three-axis orientation data (azimuth, pitch, and roll) of the smartphone and the participants’ body flexion angles were measured simultaneously. This study found that the cervical, thoracic, lumbar, and overall flexion angles were all statistically significantly different depending on the posture of the smartphone user, and the cervical flexion angle was significantly different depending on the task. Furthermore, task and task × posture can be classified with high accuracy based on smartphone tilt data, and tilt data had a high correlation with body flexion angles. Relevance to industry: The results of this study can be used as a reference for designing various products and interfaces for neck health. The results can be applied as a smartphone alarm or a built-in application, which can inform the user of the need to stretch his or her neck.

Localization Using Ultra Wideband and IEEE 802.15.4 Radios with Nonlinear Bayesian Filters: a Comparative Study

In this work, we study the localization problem considering two Wireless Sensor Network (WSN) metrics commonly used for distance estimation. In this sense, we use Bayesian filters to combine odometry and distance estimations provided by the WSN devices. Our strategies aim at a general application and can be used for both indoor and outdoor environments depending only on the type of metric and radio technology employed. In this work, we investigate two metrics: Ultra Wideband (UWB) and the Received Signal Strength (RSS). The first one is a recent technology and presents better overall accuracy than other metrics, and the second is one of the most well-explored metrics in WSN-based localization approaches. We evaluated the performance of our two approaches and compare them with the Decawave® built-in application. The experiments were performed in simulated and real environments with different scenarios (indoors and outdoors) and sensor configurations. The results show the proposed strategies feasibility by improving the localization accuracy for both types of environments. In indoor environments, the proposed system has a mean position error bellow 0.09 meters and mean orientation error of 0.08 rads. Furthermore, the proposed system is in average 0.03 meters more accurate than the built-in application.

PENERAPAN ALGORITMA BOYER MOORE PADA APLIKASI FILOSOFER BERBASIS WEBSITE

The philosopher is a scientist who is an expert in the field of philosophy or philosophy. A philosphere is generally able to think radically, rationally, competently, and have good logic. Filosofer has knowledge and extensive experience of science in the field of philosophy is something that can build a sense of optimism in general society, especially for students who are pursuing the field of philosophy to develop their knowledge related to philosophy, but a source of information that provides specifically for philosophers biographies are still limited so finding information is still difficult. Web application is one proof of current technological advances, web applications today can be utilized by many people and has become a necessity to access various kinds of important information. The philosophers web application built in this research is intended to make it easier for users to access information related to philosophers biographies that can have a positive impact on users. In the built-in web application philosophy is applied by Boyer Moore's algorithm. Keywords: Filosofer, Web, Algorithms, Boyer Moore.

An approach for quantitative analysis of cementation in sandstone based on cathodoluminescence and MATLAB algorithms

With the development of programming technology and high resolution image analysis, automated image analysis and recognition technology is used in a variety of disciplines, including modern sedimentary. On the basis of cathodeluminescence (CL) images and the algorithm and functions in MATLAB, this paper establishes an analysis method of quantitative calculation for the distribution, content and radius of siliceous cement, calcareous cement, kaolinite cement with various occurrence types in sandstone. Taking the Upper Paleozoic sandstone of Ordos Basin as the research object, the CL image was converted to the binary image which contained the color and pixel information of cement by the built-in application “Color Thresholder” in MATLAB. Further, through the functions such as ‘bwarea’, ‘bwlabel’, ‘bwboundaries’, the area in which the cement feature pixels were stored was calculated and analyzed in turn. The results show that this characterization method can automatically distinguish and calculate the content and radius of various cementation, even quartz overgrowth, in different diagenetic periods. The cement radius of quartz overgrowth, calcite and kaolinite are distributed at 0–150 μm, 0–300 μm and 0–200 μm. Comparing the content results measured by X-ray diffraction (X-RD) analysis with CL-MATLAB algorithm, the calculation results with a single CL image are suitable for siliceous cement, grain-replaced calcareous cement and pore-cemented kaolinite with linear coefficient R2 0.841, 0.562 and 0.236. For the radius distribution of cement, the average grain radius and pore radius, corresponding to the grain-replaced cementaion and the porous cementation, are used as the comparison parameters of cement radius. The appropriate objects for the method are grain-replaced and porous calcareous cement and pore-cemented kaolinite cement with R2, 0.7797, 0.4987 and 0.289. In addition, four color modes of image binarization, YCbCr, RGB, L*a*b*, HSV, are explored in this paper. It is clarified that the calcareous cements with orange-red color are most suitable under L*a*b* mode, while the siliceous and kaolinte with blue-purple color are most appropriate under RGB mode. The analysis method of CL image -MATLAB algorithm can not only accurately identify and quantitatively output the distribution, content and pore radius of cements in a single CL image, but also reflect the distribution characteristics of cements of the whole formation with superposed results of all the samples.

Forensic originality identification of iPhone’s voice memos

In this paper, we focus on the meta-data analysis methods and digital forensics techniques to solve the problem of forensic originality identification of audio recordings recorded by the Voice Memos App in the iPhone. The Voice Memos App is the built-in application for voice recording and editing in the iPhone. We first introduce the features of the Voice Memos App. Then, the experimental study is carried out to collect and analyze the original and the non-original audio recordings from different iPhones and iOS versions. The file structure pattern, time related file attribute information pattern, application database data pattern of the original audio recordings are analyzed and concluded in this paper, which can be valuable for forensic identification of original audio recordings.

An automated laser fluorination technique for high-precision analysis of three oxygen isotopes in silicates.

The three oxygen isotopes in terrestrial/extraterrestrial silicates can provide geochemical and cosmochemical information about their origin and secondary processes that result from isotopic exchange. A laser fluorination technique has been widely used to extract oxygen from silicates for δ17 O and δ18 O measurements by isotope ratio mass spectrometry. Continued improvement of the techniques is still important for high-precision measurement of oxygen-isotopic ratios. We adopted an automated lasing technique to obtain reproducible fluorination of silicates using a CO2 laser-BrF5 fluorination system connected online to an isotope ratio mass spectrometer. The automated lasing technique enables us to perform high-precision analysis of the three oxygen isotopes of typical reference materials (e.g., UWG2 garnet, NBS28 quartz and San Carlos olivine) and in-house references (mid-ocean ridge basalt glass and obsidian). The technique uses a built-in application of laser control with which the laser power can be varied in a programmed manner with a defocused beam which is in a fixed position. The oxygen isotope ratios of some international reference materials analyzed by the manual lasing technique were found to be isotopically lighter with wider variations in δ18 O values, whereas those measured by the automated lasing technique gave better reproducibility (less than 0.2‰, 2SD). The Δ17 O values, an excess of the δ17 O value relative to the fractionation line, also showed high reproducibility (±0.02‰, 2SD). The system described herein provides high-precision δ17 O and δ18 O measurements of silicate materials. The use of the automated lasing technique followed by careful and controlled purification procedures is preferred to achieve satisfactory isotopic ratio results.

Built-in Self-Repair Application of a Diagnostic Bus

Built-in Self-Repair Application of a Diagnostic Bus

Thermal management of machine compartment in a built-in refrigerator

In general a multi-door refrigerator machine compartment comprises of fan, condenser, compressor, control box, drain tray, and drain tubes. The performance of machine compartment depends upon the efficiency of heat extraction or heat exchange from heat generating components such as condenser and compressor. The efficiency of heat exchange can be improved by addressing two major factors, namely (1) Air bypass and (2) Hot air recirculation. The hot air recirculation in the machine compartment for builtin multi-door refrigerator configuration is the focus of this study. The results from Computational Fluid Dynamics (CFD) simulations show that efficiency of heat exchange for built-in application is lower than that for free-standing configuration. Recirculation of hot air and reduction in airflow are the two major factors which contribute towards the variation in machine compartment performance. The CFD simulations were coupled with Partial Factorial Design of Experiment (DoE) approach to systematically investigate the effect of variables such as (a) side gap and top gap between kitchen cabinetry and the refrigerator, (b) the baffle/flap (i.e. back and bottom of machine compartment) on the performance effectiveness of machine compartment. The results of the simulation provided critical design improvement directions resulting in performance improvement. Furthermore, the CFD simulation results were also compared to test data and the results compared favourably.

Heat Transfer and Pressure Drop Simulation of CO2-Hydrate Mixture in Tube

The formation of CO2 hydrate during CO2 transportation presents a complex two-phase flow within tube. A two-dimensional CFD model for CO2 hydrate mixture flow in tube is derived based on the Eulerian multiphase flow modeling approach in which the two phases consist of CO2 gas and CO2 hydrate particles. A coupled Eulerian multiphase and nonisothermal flow model without phase-change is developed based on COMSOL Multiphysics built-in application modes. The model couples the mass, momentum, and energy equations for the two phases to solve the temperature and flow characteristics of the CO2 hydrate mixture flow in tube. CO2 hydrate particles are found to settle down during flow even under high velocity operation. The pressure drop increased linearly with inlet volume fraction from 1.29[Formula: see text]kPa for 0.1–5.2[Formula: see text]kPa for 0.5, and the related overall heat transfer coefficients of the CO2 hydrate mixture computed from the model ranged from 980 to 4000[Formula: see text]W/m2K with variation of CO2 hydrate volume fraction.

The intricacies of verbalizations, gestures, and game outcome using sequential analysis

ObjectivesThe purpose of the present study was to identify the intricacies of verbalizations, gestures, and game outcome during competition. DesignThe behavioral research software Observer XT® using sequential analysis was used to analyze our data. MethodParticipants were 34 junior tennis players with a mean age of 13.68 (SD = 1.8). Youth players were observed during 17 matches using the Self-Talk and Gestures Rating Scale and were examined by a built-in application (Observer XT®) of mapping of verbalizations, gestures, and performance. ResultsSequences indicated negative verbalizations were the most frequently exhibited form of overt verbalizations, followed by positive and instructional verbalizations. Furthermore negative verbalizations for either the server or the receiver decreased the probability of winning a game and showed verbalizations from the server related to the receiver's verbalizations and game outcome, and vice versa. ConclusionsThe results shed light on how verbalizations and gestures interact differently according to the context, which may have important implications for research that has focused on verbalizations and has neglected gestures and contextualized performance in sport.

Implementation of interactive transit information kiosks at New York City transit facilities: Analysis of user utilization and lessons learned

Transit Traveler Information Systems (TTIS) comprise a wide range of technologies that transit agencies use to provide reliable and timely transit-related information to customers. The touch-screen interactive information kiosk is an example of these emerging TTIS technologies. This paper examines the implementation of interactive touch-screen information kiosks, known as “On the Go!” Touch-Screen Travel Stations, at Metropolitan Transportation Authority-New York City Transit (MTA-NYCT) facilities in 2011. It analyzes data from passenger intercept surveys, from the kiosks’ built-in application usage logs and from field observations to understand actual passenger utilization of the kiosks and to assess the implications for transit agencies. The field observations also made it possible to obtain a profile of kiosk users, which sheds light on the concept of the “digital divide.” The findings, presented as lessons learned, can help agencies elsewhere develop guidelines and effective strategies for implementing similar interactive transit information systems.