bluuebunny/crossref_metadata_2025 huggingface dataset:
Pacemaker implantation in active COVID-19 patients: experience of a city hospital
Authors: Repnikov I. O. , Chakhunashvili D. Z. , Evtushenko A. E. , Maslova E. V. , Akhobadze M. V. , Marapov D. I. , Perchatkin D. I.
Published: December 2022

Aim. To analyze the experience of a multidisciplinary hospital in the implantation of pacemaker (PM) in patients with COVID-19, to evaluate predictors and the incidence of complications and adverse outcomes.

Methods. One-hundred twenty five patients with active COVID-19 underwent PM implantation/replacement during the period from 04/01/2020 to 11/30/2021 at the Department of Cardiovascular Surgery of the City Multidisciplinary Hospital, reprofiling to provide medical care to patients with COVID-19. The presence of SARS-CoV-2 virus was confirmed by a positive result of the polymerase chain reaction performed the day before the procedure.

Results. Median age of patients was 81 [73-86] years. Indications for PM in most cases were atrioventricular block of II-III degrees (n=71, 56.8%), sick sinus syndrome (n=30, 24%). The PM was replaced in 20 (16%) patients. Of the 125 patients in the study survey, the 30-day complication rate was 12%, and the 180-day mortality rate was 16.8%.

Conclusion. Patients with active COVID-19 had an increased level of complications and mortality rates after PM implantation/replacement. It is necessary to take these risks into consideration to better select patients with active COVID-19 infection.
The first use of POLARx cryoballoon catheter for pulmonary vein isolation in patients with atrial fibrillation: case series
Authors: Artyukhina E. A. , Kuznetsov N. M. , Taymasova I. A. , Revishvili A. Sh.
Published: December 2022

There is the first clinical use of POLARx cryoballoon catheter for pulmonary vein isolation in patients with atrial fibrillation in Russian Federation.
Stereotactic radioablation in clinical practice for the treatment of a patient with ventricular tachycardia: case report
Authors: Revishvili A. Sh. , Vaskovsky V. A. , Artyukhina E. A. , Taymasova I. A. , Golanov A. V. , Antipina N. A. , Nikolayeva A. A. , Kondratyev E. V. , Usachev D. Yu.
Published: December 2022

The aim of the study is the demonstration of the 1st clinical experience of stereotactic arrhythmia radioablation (STAR) of the patient with antiarrhythmic drug (AAD) refractory ventricular tachycardia (VT) in Russia. The results of STAR of 57 years old patient with AAD and multiple radiofrequency ablation refractory VT are described. This clinical study demonstrates efficacy and safety of STAR of VT.
Algorithms for the prevention and treatment of supraventricular tachycardia in patients with implanted pacemakers: case series
Authors: Lukin I. B.
Published: December 2022

Two clinical cases of prevention and relief of supraventricular tachycardia using modern algorithms in pacemakers of the latest generation in patients with bradyarrhythmia and paroxysmal atrial fibrillation (AF) are presented. In the first clinical case, the patient did not have an episode of AF for six months. In the second clinical case, the patient for 2 years did not have an episode of AF lasting more than 1 minute. Episodes sinus rhythm restoration by antitachypacing algorithms were recorded. These clinical cases demonstrate the effectiveness of modern algorithms in pacemakers of the latest generation for the AF prevention and sinus rhythm restoration.
Revisión narrativa del papel de la glutamina en la prevención y el tratamiento de diferentes patologías
Authors: López Pérez Ana , Perales Pascual Judit , Escolano Pueyo Ángel , López Pérez María , Serrano Vicente Carmen
Published: December 2022

Las proteínas son un componente principal en el mantenimiento de las funciones y las estructuras de las células. La pérdida de proteína corporal se asocia con numerosas alteraciones patológicas y con un aumento de la mortalidad. La glutamina es el aminoácido más abundante del organismo y está implicado en numerosos procesos del metabolismo. Aunque históricamente se ha clasificado como un aminoácido no esencial, debido a que puede ser sintetizado por el organismo, existen ciertas situaciones, como la sepsis, que progresan con una depleción de glutamina, por lo que se ha considerado como condicionalmente esencial. La glutamina tiene multitud de funciones en diferentes tejidos y destaca la desintoxicación de amoníaco y el aporte de energía. Los niveles bajos de glutamina se relacionan con alteraciones en la función inmune, con cambios en la estructura y función de la mucosa intestinal, y disminución de la capacidad antioxidante, entre otros. La suplementación con glutamina, tanto por vía enteral como parenteral, ha sido muy estudiada en el ámbito clínico y en los últimos años ha dado resultados contradictorios. La evidencia sobre sus beneficios en la prevención y el tratamiento de las diferentes patologías está en continua evolución. Resultan prometedores algunos estudios que analizan su papel en el cáncer, la diabetes y la enfermedad inflamatoria intestinal, entre otras. Quedan varias cuestiones pendientes por resolver, como definir los subgrupos de pacientes que pueden beneficiarse más de su uso, la dosis adecuada para cada uno de ellos y la vía de administración.
COVID-19 Learning Losses, Parental Investments, and Recovery: Evidence from Low-Cost Private Schools in Nigeria
Authors: Adeniran Adedeji , Okoye Dozie , Yedomiffi Mahounan P. , Wantchekon Leonard
Published: December 2022

About 2 billion children were affected by school closures globally at the peak of the COVID-19 pandemic. This has led to documented learning losses while children were out of school, and an especially precarious future academic path for pupils in developing countries where learning and continued enrolment remain important issues. There is an urgent need to understand the extent of these learning and enrolment losses, and possible policy options to get children back on track. This paper studies the extent of learning losses and recovery in Africa's most populous country, Nigeria, and provides some evidence that a full recovery is possible. Using data from a random sample of schools, we find significant learning losses of about .6 standard deviations in English and Math. However, a program designed to slow down the curriculum and cover what was missed during school closures led to a rebound within 2 months, and a recovery of all learning losses. Students who were a part of the program do not lag behind one year later and remain in school.
COVID-19 Pandemisinde; Yönetici ve Öğretmenlerin Uzaktan Eğitim, Öğretmen ve Öğrenci Kavramlarına İlişkin Metaforik Algıları
Authors: BAY DÖNERTAŞ Aysun , AKKAYA Burcu , ERKILIÇ Turan Akman
Published: December 2022

İlkokul yönetici ve öğretmenlerinin, COVID-19 pandemisinde; “uzaktan eğitim”, “uzaktan eğitimde öğretmen” ve “uzaktan eğitimde öğrenci” kavramlarına ilişkin metaforik algılarını ortaya koymayı amaçlayan bu araştırma nitel bir araştırma olarak tasarlanmıştır. Çalışma grubunu maksimum çeşitlilik örneklemesiyle seçilen 53’ü yönetici, 166’sı öğretmen toplam 219 katılımcı oluşturmaktadır. Katılımcıların metaforik algıları yarı-yapılandırılmış görüşme formu aracılığı ile belirlenmeye çalışılmıştır. Veriler içerik analizi yöntemi ile analiz edilmiştir. Araştırma sonuçlarına göre gerek yöneticilerin gerekse öğretmenlerin metaforik algılarının her üç kavramda da “olumlu” ve “olumsuz” olmak üzere iki ana kategoriye ve bu kategoriler altında çeşitli alt kategorilere ayrıldığı tespit edilmiştir. Hem yöneticilerin hem de öğretmenlerin “uzaktan eğitim” ve “uzaktan eğitimde öğrenci”ye ilişkin metaforik algıları çoğunlukla olumsuzdur. Buna karşılık her iki katılımcı grubunda “uzaktan eğitimde öğretmen”e ilişkin metaforik algılar ise çoğunlukla olumludur. Araştırma bulgularına dayalı olarak; uzaktan eğitim sürecini daha etkili, etkileşimli kılabilecek ve kolaylaştıracak uygulamaların planlanması, uzaktan eğitim sürecinin etkili yönetilmesine dönük öğretmenlerin mesleki becerilerinin geliştirilmesi, uzaktan eğitimde öğrenciyi daha aktif kılacak uygulamaların hayata geçirilmesi yönünde önerilerde bulunulmuştur.
AERODYNAMIC RESEARCH OF THE OVERPRESSURE DEVICE FOR INDIVIDUAL TRANSPORT
Authors: MAGRYTA Paweł
Published: December 2022

Paper proposes a solution of overpressure device for individual transport, the purpose of which is to accumulate the overpressure in a certain geometric area, through the use of specially designed three-dimensional structures. In order to verify the underlying assumptions of the idea, it was decided to perform a simulation study of air flow stream within the proposed unit. These studies were done in Star CD - Pro Star 3.2 software. Further studies were carried out on the actual real model. The  verification was performed to compare and identify the main parameters of air flow through the three-dimensional structure.
MODELLING OF A LARGE ROTARY HEAT EXCHANGER
Authors: TULWIN Tytus
Published: December 2022

The first simulation consists of a partial cut-out of gas flow canal between the heat exchanger fins. The simulation is steady state and mainly provides the information about the heat transfer coefficient and pressure drop across the canal. The second simulation takes into account the complete system of rotary heat exchanger. It is a transient simulation with moving mesh. Then the heat transfer and air flow parameters are presented as a porous volume with a heat transfer model and rotational multi zone interface conditions. This simplification is accurate providing much better performance as the number of mesh nodes is much smaller. The methodology of the model setup is presented.
MATCHING PURSUIT ALGORITHM IN ASSESSING THE STATE OF ROLLING BEARINGS
Authors: JONAK Kamil , KRUKOW Paweł
Published: December 2022

In this paper the results of Matching Pursuit (MP) Octave algorithm applied to noise, vibration and harness (NVH) diagnosis of rolling bearings are presented. For this purpose two bearings in different condition state were examined. The object of the analysis was to calculate and present which energy error values of MP algorithm give the most accuracy results for different changes in bearing structures and also how energy values spread in time-frequency domain for chosen energy error value.
COMPUTER AIDED THERMAL PROCESSES IN TECHNICAL SPACES
Authors: JANCZAREK Marian , BULYANDRA Oleksij
Published: December 2022

This paper describes research work on methods concerning heat transfers through walls of thermal technical chambers. The paper presents the mathematical and physical analysis of problems in the field of energy savings and material selection in thermal chambers in controlled gaseous environment. The purpose for the research is to point out areas subjected to the highest energy losses  caused by building’s construction and geographical orientation of walls in the aspect of daily atmospheric temperature changes  emerging on chamber exterior. Thermal problems were solved using computer aided support. The paper presents exemplary measurement results taken in Lublin region during various periods throughout a year.
APPLICATION OF NEURAL NETWORKS IN PREDICTION OF TENSILE STRENGTH OF ABSORBABLE SUTURES
Authors: KARPIŃSKI Robert , GAJEWSKI Jakub , SZABELSKI Jakub , BARTA Dalibor
Published: December 2022

The paper presents results of research on neural network application in forecasting the tensile strength of two types of sutures. The preliminary research was conducted in order to establish the accuracy of the proposed method and will be used for formulating further research areas. The neural network enabled evaluation of suture material degradation after 3-to-6-days’ exposure to Ringer’s solution. The encountered problems regarding inaccuracies show that developing a single model for sutures may be difficult or impossible. Therefore future research should be conducted for a single type of sutures only and require applying additional parameters for the neural network.
NEURAL CONTROLLER FOR THE SELECTION OF RECYCLED COMPONENTS IN POLYMER-GYPSY MORTARS
Authors: KŁOSOWSKI Grzegorz , KLEPKA Tomasz , NOWACKA Agnieszka
Published: December 2022

This study presents research on the development of an intelligent controller that allows optimal selection of rubber granules, as an admixture recycling component for polymer-gypsy mortars. Based on the results of actual measurements, neural networks capable of predicting the setting time of gypsum mortar, as well as determining the bending and compressive strength coefficients were trained. A number of simulation experiments were carried out, thanks to which the characteristics of setting times and strength of mortars containing different compositions of recycling additives were determined. Thanks to the obtained results, it was possible to select the rubber admixtures optimally both in terms of the percentage share as well as in relation to the diameter of the granules.
POSSIBILITIES OF RENOVATION FUNCTIONAL SURFACES OF EQUIPMENTS IN THE MECHANICAL ENGINEERING INDUSTRY
Authors: BREZINOVÁ Janette , VIŇÁŠ Ján , DRAGANOVSKÁ Dagmar , GUZANOVÁ Anna , BREZINA Jakub
Published: December 2022

The paper analyzes the possibilities of increasing the lifespan of rollers in continuous steel casting line. There are analyzed the causes of the surface rollers damage and the impact of degrading factors in metallurgical production. Three types of welding consumable electrodes designed for restoration layers formation applied by SAW surfacing technology were analyzed. There were analyzed microstructure, microhardness and properties of weld clads in tribological conditions.
FINITE ELEMENT BASED PREDICTION OF DEFORMATION IN SHEET METAL FORMING PROCESS
Authors: KRASKA Damian , TRZEPIECIŃSKI Tomasz
Published: December 2022

In this paper the sheet forming process of cylindrical drawpieces was sim-ulated based on the finite element method by the explicit approach in the presence of contact conditions with isotropic and anisotropic friction. The experimental and numerical results obtained in the Abaqus finite element (FE) based program are presented. The aim of the experimental study is to analyse material behaviour under deformation and in addition to use the results to verify numerical simulation results. It was found that, although, the anisotropy of resistance to friction affects the height of ears, the influence of the friction formulation is relatively small in comparison with material anisotropy. The study indicates that FE analysis with 3-node triangular shell element S3R elements ensures the best approximation of the numerical results to the real process when both material and friction anisotropy are taken into account.
COMPUTER MODELLING OF THERMAL TECHNICAL SPACESS IN ASPECT OF HEAT TRANSFER THROUGH THE WALLS
Authors: JANCZAREK Marian
Published: December 2022

This paper presents the analysis of complex problems in the field of energy savings and it is focused on the new concept of thermal analysis derived from harmonic character of temperature changes in building environment – especially in a fruit storages – with aspect on conductive heat transfers through walls. This changeable influence of variable weather temperature on internal temperature of technical chamber depends on thermal inertia of building. The paper describes research work on methods concerning heat transfers through walls of thermal technical chambers in the impact of sinusoidal nature of the changes in atmospheric temperature. The purpose for the research is to point out areas subjected to the highest energy losses  caused by building’s construction and geographical orientation of walls in the aspect of daily atmospheric temperature changes emerging on chamber exterior. The paper presents exemplary measurement results taken in Lublin region during various periods throughout a year.
MODEL OF A COMPUTER SYSTEM FOR SELECTION OF OPERATING PARAMETERS FOR TRANSPORT VEHICLES IN THE ASPECT OF THEIR DURABILITY
Authors: WOJCIECHOWSKI Łukasz , CISOWSKI Tadeusz
Published: December 2022

The article presents a new method of selecting operating parameters of vehicles which allows to prolong their useful life. The theoretical and practical aspects of the new approach were discussed. The key methods of optimizing the use of vehicles and their transport routes were analysed. The proposed method of selecting operating parameters of transport vehicles was based on elements of the dynamic programming model using heuristic algorithms. A model and then an algorithm and a computer program for selecting operating parameters for vehicles were developed.
A MODEL FOR ASSESSING THE LEVEL OF AUTOMATION OF A MAINTENANCE DEPARTMENT USING ARTIFICIAL NEURAL NETWORK
Authors: HALIKOWSKI Daniel , PATALAS-MALISZEWSKA Justyna , SKRZESZEWSKA Małgorzata
Published: December 2022

With regard to adapting enterprise to the Industry 4.0 concept, the first element should be the implementation and use of an information system within a manufacturing company. This article proposes a model, the use of which will allow the level of automation of a maintenance department to be forecast, depending on the effectivity of the use of the Manufacturing Executions System (MES) within a company. The model was built on the basis of the actual times of business processes completed which were supported by MES in the maintenance departments of two manufacturing enterprises using artificial neural network. As a result of research experiments, it was confirmed that the longer the time taken to complete business processes supported by MES, the higher is the degree of automation in a maintenance department.
REVIEW OF THE DATA MODELING STANDARDS AND DATA MODEL TRANSFORMATION TECHNIQUES
Authors: JASKIERNY Leszek
Published: December 2022

Manual data transformations that result in high error rates are a big problem in complex integration and data warehouse projects, resulting in poor quality of data and delays in deployment to production. Automation of data transformations can be easily verified by humans; the ability to learn from past decisions allows the creation of metadata that can be leveraged in future mappings. Significant improvement of the quality of data transformations can be achieved, when at least one of the models used in transformation is already analyzed and understood. Over recent decades, particular industries have defined data models that are widely adopted in commercial and open source solutions. Those models (often industry standards, accepted by ISO or other organizations) can be leveraged to increase reuse in integration projects resulting in a) lower project costs and b) faster delivery to production. The goal of this article is to provide a comprehensive review of the practical applications of standardization of data formats. Using use cases from the Financial Services Industry as examples, the author tries to identify the motivations and common elements of particular data formats, and how they can be leveraged in order to automate process of data transformations between the models.
TECHNIQUES OF GENERATING SCHEDULES FOR THE PROBLEM OF FINANCIAL OPTIMIZATION OF MULTI-STAGE PROJECT
Authors: KLIMEK Marcin
Published: December 2022

The article presents the problem of scheduling a resource-constrained project with discounted cash flow maximization from the perspective of a contractor. The contractor's expenses (cash outflows for the contractor) are associated with the execution of activities. The client's payments (cash inflows for the contractor) are performed after fulfilling the agreed project stages. The following techniques are suggested for solving the problem: the activity right-shift procedure, the backward scheduling with the optimization of completion dates for the agreed project stages and the modified triple justification technique. The effect of these techniques of generating schedules is illustrated for an exemplary project. Finally, an experimental analysis of the proposed procedures is presented.
APPLICATION OF ACOUSTIC SIGNAL PROCESSING METHODS IN DETECTING DIFFERENCES BETWEEN OPEN AND CLOSED KINEMATIC CHAIN MOVEMENT FOR THE KNEE JOINT
Authors: KARPIŃSKI Robert , MACHROWSKA Anna , MACIEJEWSKI Marcin
Published: December 2022

The paper presents results of preliminary research of analysis of signals recorded for open and closed kinematic chain in one volunteer with chondromalacia in both knees. The preliminary research was conducted in order to establish the accuracy of the proposed method and will be used for formulating further research areas. The aim of the paper is to show how FFT, recurrence plots and recurrence quantification analysis (RQA) can help in bioacoustic signals analysis.
COMPUTER SUPPORT OF ERGONOMIC ANALYSIS OF WORKING CONDITIONS AT WORKSTATIONS
Authors: KOLNY Damian , KURCZYK Dawid , MATUSZEK Józef
Published: December 2022

The article shows issues of using computer-aided technologies for ergonomic analysis at worksplaces using a dedicated tool in the Delmia environment. The scope of the ergonomic evaluation has been limited to the analysis of RULA and NIOSH, the data needed for it was gathered on the basis of observation, interview and task analysis. The results of the research showed the strenous nature of the work, therefore improvements within undertaken workplace area were proposed and re-analyzed. The obtained results proved reduction  of strenousness, which was the basis for the practical implementation of the proposed changes.
ENCAPSULATION OF IMAGE METADATA FOR EASE OF RETRIEVAL AND MOBILITY
Authors: WOODS Nancy , ROBERT Charles
Published: December 2022

Increasing proliferation of images due to multimedia capabilities of hand-held devices has resulted in loss of source information resulting from inherent mobility. These images are cumbersome to search out once stored away from their original source because they drop their descriptive data. This work, developed a model to encapsulate descriptive metadata into the Exif section of image header for effective retrieval and mobility. The resulting metadata used for retrieval purposes was mobile, searchable and non-obstructive.
APPLYING ARDUINO FOR CONTROLLING CAR PARKING SYSTEM
Authors: AL-TABATABAIE Kusay F. , ABDULAMEER Sadeer D.
Published: December 2022

With increasing automobiles in the parking space, we could face problems like unplanned parking, lack of discipline, wasting time and fuel while looking for free space around the parking ground. These problems could be solved by applying Arduino for controlling car parking system. The proposed system will detect an available parking slot in short time, saves fuel, offer monitoring car parking system with low consumption, easy to implement and inexpensive.
APPLYING INTELLIGENT TECHNIQUES FOR TALENT RECRUITMENT
Authors: FLORES-HERNÁNDEZ Isaac , BONILLA-HUERTA Edmundo , MALAQUIAS QUINTERO-FLORES Perfecto , PONCE Oscar Atriano , HERNÁNDEZ-HERNÁNDEZ José Crispín
Published: December 2022

The objective of this research is to describe a system to aligned the hard and soft skills of the applicant to the current labor market. For this, a system was implemented which uses Web Scraping to get a general profile of an area, meanwhile for the evaluation of the applicant soft skills is used a Test Cleaver and for the hard skills fuzzy inference system is implemented. Therefore, the data is entered into an Analytic Hierarchy Process, with this, the applier is able to see which area is better to improve according to the hard and soft skills.
DETERMINATION OF RELATIVE LENGTHS OF BONE SEGMENTS OF THE DOMESTIC CAT'S LIMBS BASED ON THE DIGITAL IMAGE ANALYSIS
Authors: GOSPODAREK Katarzyna
Published: December 2022

This paper is an introduction to the issues related to obtaining information on the metric dimensions of selected bone segments of a domestic cat based on the analysis of digital images. The main objective is to acquire this data using only image processing methods. Particular emphasis was placed on obtaining data on the proportions between specific bones within the limbs. This data will be used in the process of creating a project of a four-legged walking robot whose structure will be inspired by solutions characteristic of the analyzed species.
FUZZY ASSESSMENT OF MANUFACTURABILITY DESIGN FOR MACHINING
Authors: MATUSZEK Józef , SENETA Tomasz , MOCZAŁA Aleksander
Published: December 2022

The article attempts to assess the manufacturability design taking into account the assessment due to the processing, assembly process and organization of production. The evaluation was conducted by the fuzzy inference methods. An assessment was presented for machining based on the proposed fuzzy inference database.
SOFTWARE FOR RECOGNITION OF CAR NUMBER PLATE
Authors: ABDULHAMID Mohanad , KINYUA Njagi
Published: December 2022

The purpose of this paper is to design and implement an automatic number plate recognition system. The system has still images as the input, and extracts a string corresponding to the plate number, which is used to obtain the output user data from a suitable database. The system extracts data from a license plate and automatically reads it with no prior assumption of background made. License plate extraction is based on plate features, such as texture, and all characters segmented from the plate are passed individually to a character recognition stage for reading. The string output is then used to query a relational database to obtain the desired user data. This particular paper utilizes the intersection of a hat filtered image and a texture mask as the means of locating the number plate within the image. The accuracy of location of the number plate with an image set of 100 images is 68%.
REMOTE HEALTH MONITORING: FALL DETECTION
Authors: ABDULHAMID Mohanad , PETER Deng
Published: December 2022

Falling is a serious health issue among the elderly population; it can result in critical injuries like hip fractures. Immobilization caused by injury or unconsciousness means that the victim cannot summon help themselves. With elderly who live alone, not being found for hours after a fall is quite common and drastically increases the significance of fall-induced injuries. With an aging Baby Boomer population, the incidence of falls will only rise in the next few decades. The objective of this paper is to design and create a fall detection system. The system consists of a monitoring device that links wirelessly with a laptop. The device is able to accurately distinguish between fall and non-fall.
FUZZY CONTROLLER OF MODEL REDUCTION DISTILLATION COLUMN WITH MINIMAL RULES
Authors: ALAWAD Nasir , ALSEADY Afaf
Published: December 2022

In this paper the control of a binary distillation column is described. This control is done with fuzzy logic, one with PI- like fuzzy controller and the other with modified PI fuzzy controller, using the minimal rules for fuzzy processing. This work is focused on model reduction of Wood and Berry binary distillation column to get the best performance. It is desired to minimize the rules in order to reduce the computation time to make a faster decision. Comparisons will be made between two versions of fuzzy controllers utilizing reduced rules to verify the outputs. The controlled variables are top composition with high concentration and bottom composition with low. To demonstrate the performance of the fuzzy PI control schemes, results are compared with a classical PI controller and optimal methods, like Differential Evolution (DE), Invasive Weed Optimization (IWO).The proposed structure is able to quickly track the parameter variation and perform better in load disturbances and also for set point changes. Then all the processes of the distillation column with it? s fuzzy controllers are simulated in MATLAB software as the results are shown.
INSTRUMENTAL COLOR MEASUREMENT OF MEAT AND MEAT PRODUCTS IN X-RITECOLOR® MASTER
Authors: FERYSIUK Karolina , WÓJCIAK Karolina M. , KĘSKA Paulina , STASIAK Dariusz M.
Published: December 2022

The aim of the study was to evaluate the influence of lyophilized plant extract on color of canned meat with reduced amount of sodium (III) nitrite measured by spectrophotometric methods. The results were collected through the X-RiteColor® Master software. The results of the experiment show that reduction of nitrite salt is possible but additional fortification is required: the best results were obtained when the extract was added in the amount of 0.015%.
CONVENTIONAL ENERGY EFFICIENT ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS
Authors: AL-RAWI Muaayed F.
Published: December 2022

Wireless sensor network is a significant piece of wireless communication.It is a gathering of an enormous number of sensor nodes that are set in remote spots. The sensors have ability to do a typical undertaking. So energy exhaustion plays a significant job in keeping up a stable network. To build the system lifetime, a different energy effective algorithm is required which expands the network lifetime and makes the network more energy productive. For the augmenting, the lifetime of the network diverse routing technique has been utilized which help in expanding the lifetime of the network. This article portrays the diverse routing protocol which helps in energy efficient routing in a wireless sensor network.
ELECTROCARDIOGRAM GENERATION SOFTWARE FOR TESTING OF PARAMETER EXTRACTION ALGORITHMS
Authors: MACIEJEWSKI Marcin , MACIEJEWSKA Barbara , KARPIŃSKI Robert , KRAKOWSKI Przemysław
Published: December 2022

Fast and automated ECG diagnosis is of great benefit for treatment of cardiovascular and other conditions. The algorithms used to extract parameters need to be precise, robust and efficient. Appropriate training and testing methods for such algorithms need to be implemented for optimal results. This paper presents a software solution for computer ECG generation and a simplified concept of testing process. All the parameters of the resulting generated signal can be tweaked and set properly. Such software can also be beneficial for training and educational use.
ASSESSMENT OF THE POSSIBILITY OF USING BAYESIAN NETS AND PETRI NETS IN THE PROCESS OF SELECTING ADDITIVE MANUFACTURING TECHNOLOGY IN A MANUFACTURING COMPANY
Authors: Topczak Marcin , Śliwa Małgorzata
Published: December 2022

The changes caused by Industry 4.0 determine the decisions taken by manufacturing companies. Their activities are aimed at adapting processes and products to dynamic market requirements. Additive manufacturing technologies (AM) are the answer to the needs of enterprises. The implementation of AM technology brings many benefits, although for most 3D printing techniques it is also relatively expensive. Therefore, the implementation process should be preceded by an appropriate analysis, in order, finally, to assess the solution. This article presents the concept of using the Bayesian network when planning the implementation of AM technology. The use of the presented model allows the level of the success of the implementation of selected AM technology, to be estimated under given environmental conditions.
RESOLUTION IN THE 3D MODELING OF OBJECTS FOR ADDITIVE MANUFACTURING AND REVERSE ENGINEERING – SHUTTER EFFECT
Authors: COUTIÑO-MORENO Elvis , ESTRADA Quirino , MALDONADO-ONOFRE Daniel , RODRIGUEZ-MENDEZ Alejandro , GOMEZ-GIRON Julio
Published: December 2022

This article presents a proportional relationship between Shutter and the value of the resolution scanning system that allows decision making for modeling 3D parts used in reverse engineering and additive manufacturing. As a first step, the object of interest is treated to dim excessive brightness, then the object is scanned  (by point cloud or mesh) with the use of a Handyscan 700 scanner. The point cloud is processed with the Geomagic software Desing X to generate a CAD image and a “.stl” file for 3D printing.
NOVEL SIMPLE DESIGN AND ANALYSIS OF WI-MAX TRANSCEIVER USING MATLAB-SIMULINK
Authors: AL-RAWI Muaayed F. , AL-RAWI Muhanned F.
Published: December 2022

This paper provides analysis of WiMAX systems from its background to their architectures highlighting merits and demerits, topologies, structures and looks deep into transceiver systems architecture, then specializes on the radio frequency (RF) front-end part of the WiMAX transceiver system in which a model is designed. Thereafter, the model is implemented in MATLAB Simulink and the results are investigated and analyzed.
SEARCH ENGINE OPTIMIZATION: A REVIEW
Authors: ALMUKHTAR Firas , MAHMOODD Nawzad , KAREEM Shahab
Published: December 2022

The Search Engine has a critical role in presenting the correct pages to the user because of the availability of a huge number of websites, Search Engines such as Google use the Page Ranking Algorithm to rate web pages according to the nature of their content and their existence on the world wide web. SEO can be characterized as methodology used to elevate site keeping in mind the end goal to have a high rank i.e., top outcome. In this paper the authors present the most search engine optimization like (Google, Bing, MSN, Yahoo, etc.), and compare by the performance of the search engine optimization. The authors also present the benefits, limitation, challenges, and the search engine optimization application in business.
APPLICATION FOR FUNCTIONALITY AND REGISTRATION IN THE CLOUD OF A MICROCONTROLLER DEVELOPMENT BOARD FOR IOT IN AWS
Authors: Perez Elizabeth , Araiza Juan A. , Pozos Dreysy , Bonilla Edmundo , Hernandez Jose C. , Cortes Jesus A.
Published: December 2022

The use of the Amazon Web Services cloud enables new functionalities that are not possible with traditional solutions: low latency, local data processing and storage, and direct connectivity to other cloud services. Reimagining the way IoT connectivity services are presented by combining AWS cloud technology with mobile connectivity offers rapid prototyping to help connect devices natively over Wi-Fi. For this, the MQTT communication protocol is used to interact with the IoT device and exchange data, which allows controlling the basic functions of a sensor node. The installation is realized through a software development kit (SDK), which allows the creation of an application for Android devices. This solution gives the option to integrate together, improving the connectivity of the IoT system. The results enable board logging and network configuration, and can also be used to control the IoT device. The embedded firmware provides the required security functions.
APPLICATION OF A FUZZY CONTROLLER IN THE PROCESS OF AUTOMATED POLYETHYLENE FILM THICKNESS CONTROL
Authors: Jardzioch Andrzej , Marczak Wioletta
Published: December 2022

The present article aims to describe the design of a fuzzy controller used for automated control of the thickness of the extruded polyethylene film effected by the adjustment of the actuator in the cooling ring. In order to determine whether the designed controller operates properly, a model extruder was created and a simulation study was carried out. The Simulink programming environment integrated with Matlab was used for the development of the fuzzy controller and the simulation. The conducted simulation study demonstrated that the implementation of the designed controller would enable the adjustment of thickness on the perimeter of the film tube and quick reaction to possible departure in the assumed film thickness in mass production.
RGB-D FACE RECOGNITION USING LBP-DCT ALGORITHM
Authors: B L Sunil Kumar , M Sharmila Kumari
Published: December 2022

Face recognition is one of the applications in image processing that recognizes or checks an individual's identity. 2D images are used to identify the face, but the problem is that this kind of image is very sensitive to changes in lighting and various angles of view. The images captured by 3D camera and stereo camera can also be used for recognition, but fairly long processing times is needed. RGB-D images that Kinect produces are used as a new alternative approach to 3D images. Such cameras cost less and can be used in any situation and any environment. This paper shows the face recognition algorithms’ performance using RGB-D images. These algorithms calculate the descriptor which uses RGB and Depth map faces based on local binary pattern. Those images are also tested for the fusion of LBP and DCT methods. The fusion of LBP and DCT approach produces a recognition rate of 97.5% during the experiment.
IMPLEMENTATION OF A HARDWARE TROJAN CHIP DETECTOR MODEL USING ARDUINO MICROCONTROLLER
Authors: ABDULSALAM Kadeejah , ADEBISI John , DUROJAIYE Victor
Published: December 2022

These days, hardware devices and its associated activities are greatly impacted by threats amidst of various technologies. Hardware trojans are malicious modifications made to the circuitry of an integrated circuit, Exploiting such alterations and accessing the level of damage to devices is considered in this work. These trojans, when present in sensitive hardware system deployment, tends to have potential damage and infection to the system. This research builds a hardware trojan detector using machine learning techniques. The work uses a combination of logic testing and power side-channel analysis (SCA) coupled with machine learning for power traces. The model was trained, validated and tested using the acquired data, for 5 epochs. Preliminary logic tests were conducted on target hardware device as well as power SCA. The designed machine learning model was implemented using Arduino microcontroller and result showed that the hardware trojan detector identifies trojan chips with a reliable accuracy. The power consumption readings of the hardware characteristically start at 1035-1040mW and the power time-series data were simulated using DC power measurements mixed with additive white Gaussian noise (AWGN) with different standard deviations. The model achieves accuracy, precision and accurate recall values. Setting the threshold proba¬bility for the trojan class less than 0.5 however increases the recall, which is the most important metric for overall accuracy acheivement of over 95 percent after several epochs of training.
PRODUCTIVITY OF A LOW-BUDGET COMPUTER CLUSTER APPLIED TO OVERCOME THE N-BODY PROBLEM
Authors: NOWICKI Tomasz , GREGOSIEWICZ Adam , ŁAGODOWSKI Zbigniew
Published: December 2022

The classical n-body problem in physics addresses the prediction of individual motions of a group of celestial bodies under gravitational forces and has been studied since Isaac Newton formulated his laws. Nowadays the n-body problem has been recognized in many more fields of science and engineering. Each problem of mutual interaction between objects forming a dynamic group is called as the n-body problem. The cost of the direct algorithm for the problem is O(n2) and is not acceptable from the practical point of view. For this reason cheaper algorithms have been developed successfully reducing the cost to O(nln(n)) or even O(n). Because further improvement of the algorithms is unlikely to happen it is the hardware solutions which can still accelerate the calculations. The obvious answer here is a computer cluster that can preform the calculations in parallel. This paper focuses on the performance of a low-budget computer cluster created on ad hoc basis applied to n-body problem calculation. In order to maintain engineering valuable results a real technical issue was selected to study. It was Discrete Vortex Method that is used for simulating air flows. The presented research included writing original computer code, building a computer cluster, preforming simulations and comparing the results.
Effect of film thickness on output power of a piezoelectric vibration energy harvester using hydrothermally synthesized (K,Na)NbO3 film
Authors: Tateyama Akinori , Ito Yoshiharu , Shiraishi Takahisa , Kurosawa Minoru , Funakubo Hiroshi
Published: December 2022

The dependence of the output power of piezoelectric vibration energy harvesters on film thickness was systematically investigated using {100}
c
-oriented epitaxial (K,Na)NbO3 films prepared on single-crystal SrTiO3 substrates by the hydrothermal deposition technique. First, we measured the vibration energy harvesting properties by a unimorph Pt/(K,Na)NbO3//SrRuO3//SrTiO3 cantilever. Based on the fact that the elastic stiffness of (K,Na)NbO3 is lower than that of SrTiO3 substrate, it can be understood that increasing film thickness leads to decreasing Q
m, resulting in the decrease in output power as film thickness increased under the same input acceleration condition. In the next step, these cantilevers were attached to an Al plate having a much larger volume than the Pt/(K,Na)NbO3//SrRuO3//SrTiO3 cantilever. The output power of this type of harvester was more than 400% greater when the film thickness was increased from 3.5 to 22.3 μm due to the almost constant Q
m value.
UPAYA MENINGKATKAN KINERJA KARYAWAN MELALUI BUDAYA ORGANISASI PADA CV. GUNUNG BATU MANDIRI BINUANG KAB. TAPIN
Authors: Suryadi Dyoko
Published: December 2022

Abstrak: Tujuan dari penelitian adalah untuk mengetahui penerapan aplikasi budaya organisasi pada CV. Gunung Batu Mandiri Binuang selama ini dan Untuk mengetahui penerapan aplikasi budaya organisasi pada CV. Gunung Batu Mandiri Binuang yang dapat meningkatkan kinerja karyawan yang seharusnya. Metode yang digunakan adalah deskriptif kuantitatif dengan melakukan pengamatan langsung atau observasi, wawancara dan dokumentasi. Populasi dan sampel dalam penelitian adalah seluruh CV. Gunung Batu Mandiri Binuang sebanyak 30 orang. Hasil penelitian menunjukkan bahwa penerapan aplikasi budaya organisasi pada CV. Gunung Batu Mandiri Binuang selama ini, dari indikator budaya organisasi memperlihatkan rendahnya tingkat budaya organisasi sebesar 75% - 85%. Hal tersebut disebabkan adanya kendala hubungan pimpinan dengan karyawan kurang terjalin dengan baik, adanya batasan pola komunikasi antar pimpinan dan antar karyawan menjadi salah satu kendala yang selama ini kinerja karyawan mengalami penurunan.Kata Kunci: kinerja karyawan, budaya organisasi, CV. Gunung Batu Mandiri, BinuangAbstract : The purpose of the study is to determine the application of organizational culture on CV. Gunung Batu Mandiri Binuang Kab. Tapin for this and to determine the application of organizational culture on CV. Gunung Batu Mandiri Binuang Kab. Tapin that can improve employee performance should be. The method used is quantitative descriptive by direct observation or observation, interviews and documentation. Population and sample in the study were all CV. Gunung Batu Mandiri Binuang Kab. Tapin as many as 30 people.. The results showed that the application of organizational culture on CV. Gunung Batu Mandiri Binuang Kab. Tapin during this time, from the organizational culture indicators show a low level of organizational culture by 75% - 85%. This is due to the constraints of the leadership relationship with employees is less well established, the boundaries between the leadership and communication patterns among employees to be one of the obstacles that have been the performance of employees has decreased.Keywords: employee performance, organizational culture, CV. Gunung Batu Mandiri, Binuang
PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN KONSUMEN PADA CV GLOBAL AC BANJARBARU
Authors: Suwito Joko
Published: December 2022

Abstract: The purpose of this study is to determine the quality of service in cus-tomer satisfaction servicing AC seen from the variable of evidence real, reliabili-ty, responsiveness, guarantee, and empathy. The method used is multiple linear re-gression analysis to determine the influence of each variable quality of service to customer satisfaction. The study was conducted to 103 consumer of CV Global AC Banjarbaru and conducted for 1 week. The results showed that the variables of real evidence, responsiveness, and empathy are partially significant effect on cus-tomer satisfaction of AC service and the variable of reliability and assurance are not significantly influential to customer satisfaction.Keywords: quality of service, customer satisfaction, ACserviceAbstrak: Tujuan dari penelitian ini adalah untuk mengetahui kualitas pelayanan dalam kepuasan konsumen menservis AC dilihat dari variabel bukti nyata, kehan-dalan, daya tanggap, jaminan, dan empati. Metode yang digunakan adalah analisis regresi linier berganda untuk mengetahui pengaruh dari masing-masing variabel kualitas pelayanan terhadap kepuasan konsumen. Penelitian dilakukan terhadap 103 orang konsumen CV Global AC Banjarbaru dan dilakukan selama 1 minggu. Hasil penelitian menunjukkan bahwa variabel bukti nyata, daya tanggap, dan em-pati secara parsial berpengaruh signifikan terhadap kepuasan konsumen menservis AC dan variabel kehandalan dan jaminan secara persial tidak berpengaruh signifi-kan terhadap kepuasan konsumen menservis AC.Kata Kunci: kualitas pelayanan, kepuasan konsumen, service AC
ALASAN SISWA MEMILIH PERGURUAN TINGGI PADA SISWA SMK DHARMA PUTERA BANJARMASIN
Authors: Setiawan Reksa
Published: December 2022

Abstract: The decision to choose a college is an investment decision. The investment should benefit the consumers after being graduated from college. This study aims to understand the reasons of vocational students who are approaching graduation in choosing a college to continue their education. This study was conducted on all students majoring in Accounting semester final at SMK Dharma Putera Banjarmasin as many as 30 students. Analytical technique used is frequency distribution. The results of this study indicate that the indicators that become the main reason of a prospective student in choosing a college is the suitability of the study program with student interest, followed by the ease to visit, reasonable tuition, and often discussed by others.Keywords: student, higher education, SMK Dharma Putera, Banjarmasin CityAbstrak: Keputusan memilih suatu perguruan tinggi merupakan suatu keputusan investasi. Investasi tersebut harus menguntungkan konsumen setelah dinyatakan tamat dari perguruan tinggi. Penelitian ini bertujuan untuk memahami alasan siswa SMK yang sudah mendekati masa lulus dalam memilih perguruan tinggi untuk melanjutkan pendidikannya. Penelitian ini dilakukan pada seluruh siswa jurusan Akuntansi semester akhir di SMK Dharma Putera Banjarmasin sebanyak 30 siswa. Teknik analisis yang digunakan adalah distribusi frekuensi. Hasil penelitian ini menunjukkan bahwa indikator yang menjadi alasan utama seorang calon mahasiswa dalam memilih perguruan tinggi adalah kesesuaian program studi dengan minat siswa, disusul oleh kemudahan untuk didatangi, biaya kuliah yang wajar, serta sering dibicarakan oleh orang lain.Kata Kunci: siswa, perguruan tinggi, SMK Dharma Putera, Banjarmasin
ANALISIS PENERAPAN PAJAK PENGHASILAN PASAL 21 KARYAWAN PADA PT BARAGUNA INTI MANDIRI BANJARBARU
Authors: Zubaidah Suyatmi , Anastasia Maria
Published: December 2022

Abstract: This study aims to determine the application of calculation, deduction, deposit and reporting of employee income tax Article 21. The method used is descriptive qualitative method. Data collection techniques carried out by interview and documentation. The steps used are to analyze the income tax article 21 received by employees in the form of regular income. Furthermore, the authors compare the results of the analysis with calculations that are in accordance with the applicable tax regulations. The results of the study indicate that the process of calculating income tax article 21 has not been fully in accordance with Law No. 36 of 2008 concerning Income Tax. Keywords: Income Tax Article 21 Abstrak: Penelitian ini bertujuan untuk mengetahui penerapan penghitungan, pemotongan, penyetoran dan pelaporan Pajak Penghasilan Pasal 21 karyawan. Metode yang digunakan adalah metode deskriptif kualitatif. Teknik pengumpulan data yang dilakukan dengan cara wawancara dan dokumentasi. Langkah-langkah yang digunakan adalah dengan menganalisis pajak penghasilan pasal 21 yang diterima karyawan berupa penghasilan teratur. Selanjutnya penulis membandingkan hasil analisis tersebut dengan perhitungan yang sesuai dengan peraturan perpajakan yang berlaku. Hasil penelitian menunjukkan bahwa proses perhitungan pajak penghasilan pasal 21 belum sepenuhnya sesuai dengan Undang-Undang No.36 Tahun 2008 Tentang Pajak Penghasilan.Kata Kunci: Pajak Penghasilan Pasal 21