File Editing Research Articles

Autonomous navigation using machine vision and self-designed fiducial marker in a commercial chicken farming house

Indoor navigation within commercial animal farming houses is crucial for the increasing operations carried out by mobile robots. However, existing methods often suffer from issues such as sensitivity to ambient light, insufficient accuracy for precise animal operations, or complexity in implementation. In this study, we proposed a novel navigation method for mobile chassis in a commercial stacked cage farming house, utilizing an active light source, self-designed fiducial marker, and machine vision. Our navigation system incorporated imaging modules equipped with 850 nm infrared light to minimize animal stress and mitigate the effects of low illumination. The self-designed fiducial marker, DRITag, enabled precise maker identification with a recognition rate of 100 % and achieved high positioning accuracy, with an absolute mean error of 0.34 cm within a range of 1.2 m. To determine the chassis’ yaw angle, we employed the U-net deep learning network, which achieved satisfactory root mean square errors of 0.22° and 0.10° on the ground and upper floors, respectively. Global localization of the chassis across different farm areas was achieved through a combination of DRITag and odometry information. Our proposed method provided a flexible and user-friendly approach to navigation path planning, employing a waypoint task text file that enabled easy modification of the path through simple text file editing. Field tests conducted in a two-story commercial stacked cage chicken farming house demonstrated the high accuracy of our navigation method, with standard deviations of longitudinal deviations below 1.85 cm and 1.82 cm, and standard deviations of lateral deviations below 1.50 cm and 1.12 cm at a speed of below 0.3 m/s on the ground floor and at a speed of 0.2 m/s on the upper floor, respectively. Overall, our study presented an independent-of-ambient-light, highly accurate, and easily implementable navigation method for mobile chassis in commercial chicken farming houses, with significant potential for future research in mobile robotics within animal farming environments.

AI-Powered Legal Documentation Assistant

The Legal Documentation Assistant offers a unique method to obtain legal rights, specializing in copyright, trademark, and banking using a combination of artificial intelligence (AI) technologies. Through the synergy of legal expertise and technological innovation, our dynamic website is designed to offer clients real-time assistance and guidance to help them efficiently navigate complex legal requirements. Our personalised bots provide tailored support and answer queries, ensuring clients receive the help they need. At the core of our platform is a combination of AI-powered chatbots designed to provide clients with real-time help and guidance. These bots provide personalized support, answer questions, explain legal concepts and guide customers through multiple procedures. In addition, our platform enables seamless file editing, allowing clients to customize legal templates to suit their needs. By sharing downloadable files in modern formats, we increase the convenience of people even as we sell legal requirements. Through the synergy of legal knowledge and technological innovation, our platform aims to democratize access to empower people and businesses to navigate the methods themselves. We believe that our method is an important step in bridging the gap between legal information and realistic applications.

BSMArt: Simple and fast parameter space scans

We introduce BSMArt, a python program for the exploration of parameter spaces of theories Beyond the Standard Model. Especially designed for use with the SARAH family of tools, it is also sufficiently flexible to be used with a wide variety of external codes. BSMArt contains the first public release of the Active Learning scan by the same authors; but contains several additional scanning algorithms, ranging from the very simple to MultiNest and Diver. A BSMArt scan can be set up in a matter of minutes with only minimal editing of configuration files; installation scripts for all relevant tools and examples are provided. Program summaryProgram Title: BSMArtCPC Library link to program files:https://doi.org/10.17632/f6kwjvg8gw.1Developer's repository link:https://goodsell.pages.in2p3.fr/bsmart/Licensing provisions: GNU General Public License 3Programming language: pythonNature of problem: Exploring the parameter spaces of new physics models involves setting up, compiling and running multiple codes together. Then an algorithm must be chosen to select which parameter points to inspect in the simplest and quickest manner. Further, this code is required for the active machine learning algorithm by the same authors.Solution method: Automatic creation and compilation of the codes integrated with SARAH, and simple creation and management of input and output files allowing multithreaded running. Use of python facilitates machine learning applications. Multiple search algorithms are included including original ones.

Model construction and software design of computed tomography radiation system based on visualization

The Monte Carlo N-Particle (MCNP) is often used to calculate the radiation dose during computed tomography (CT) scans. However, the physical calculation process of the model is complicated, the input file structure of the program is complex, and the three-dimensional (3D) display of the geometric model is not supported, so that the researchers cannot establish an accurate CT radiation system model, which affects the accuracy of the dose calculation results. Aiming at these two problems, this study designed a software that visualized CT modeling and automatically generated input files. In terms of model calculation, the theoretical basis was based on the integration of CT modeling improvement schemes of major researchers. For 3D model visualization, LabVIEW was used as the new development platform, constructive solid geometry (CSG) was used as the algorithm principle, and the introduction of editing of MCNP input files was used to visualize CT geometry modeling. Compared with a CT model established by a recent study, the root mean square error between the results simulated by this visual CT modeling software and the actual measurement was smaller. In conclusion, the proposed CT visualization modeling software can not only help researchers to obtain an accurate CT radiation system model, but also provide a new research idea for the geometric modeling visualization method of MCNP.

A Planning Approach to Repair Domains with Incomplete Action Effects

Automated planning is a problem solving technique for a wide range of scenarios and goals, which typically involves the creation of domain and problem files in formal languages. However, producing complete model descriptions can be challenging and time-consuming, especially for non-experts. Although many tools have been developed to support file editing, mistakes can still be made, such as incomplete or improper specification of the initial state or the set of actions. These errors often result in unsolvable tasks for planners, making it impossible to generate a plan. Explaining the absence of a solution in such cases is essential to support humans in the development of automated planning tasks. In this paper, we introduce a novel approach to repair planning models where the effects of some actions are incomplete, without further information from the user side. We propose a compilation of the unsolvable task to a new extended planning task, in which new actions are permitted to insert possible missing effects. The solution is a plan that achieves the goals of the original problem while also alerting users of the modifications made to do so. Experimental results demonstrate that this approach can effectively repair incomplete planning domains.

The Relationship of Plant Types Familia Araceae on The Mountain Sidole Track Central Sulawesi Based on Morphological Character

The Araceae family plant in the Mount Sidole has a diversity and variety of life forms. The purpose of this study is to describe the family relationship of Araceae family based on morphological characters. Sampling using the path method (belt transect) with free collection techniques. The size of the track used is 10 m wide and ± 15 km long along the Sidole Mountain climbing track at an altitude of 400-1780 m above sea level. Morphological data measurement refers to 37 meristic and qualitative characters. Processing data using the File Editor Program (PFE) and analyzed with the Multivariate Statistical Package (MVSP) program. Determination of similarity index with the Simple Matching Coefficient method and kinship between types using the Unweighted Pair-Group Method Using Arithmetic Average (UPGMA). The results of specimen collection are 26 species. Based on the dendrogram of Familia Araceae divided into three groups. Group I are 9 species of hemiepipitic groups which cluster at a coefficient of 76%, namely Amydrium medium, Pothos scandens, Epipendrum sp., Scindapsus treubii, S. pictus, Rhaphidophora sp., R. sylvestris, R. lobbii and R. puberula. Group II are 8 species of geophytes grouping at 77% coefficient, namely Colocasia oresbia, C. esculenta, Xanthosoma violaceumm, X. sagittifolium, Apoballis mutata, Alocasia sp., A. longiloba and A. Macrorrhizos. Group III are 9 species of geophytes grouping at 82% coefficient, namely Spathiphyllum commutatum, Schismatoglottis inculta, S. lancifolia, S. wallichii, S. asperata, S. cadieri, S. calyptrata and S. calyptrata ssp flagelliforme and Aglaonema nitidum.

Use of algorithms in building construction preparation

Abstract Nowadays, it is increasingly important to develop economical construction processes and determine predictable costs. The current level of technology offers countless, even undeveloped opportunities to support architectural, engineering, and construction processes. Building information models created as results of design processes and databases associated with them can provide an appropriate base to fulfill the requirements. However, this information is mainly available only for the largest projects; the possibilities offered by traditional editable vector files (e.g., *.DWG) should also be examined. This study analyzes the efficiency increasing possibilities that can be achieved using low-detail 3D models generated by algorithms and applying 2D-based digital quantity estimation workflows.

Real-time Optimization and Implementation of Multi-rate Digital FIR Kernel Filter

One ideal performance of this design is in the areas of decimation where a decimation factor of 10, 45-order and pass band ripple of 1dB and interpolation of sampled rates where a sinusoidal signal input produced a ripple free output with interpolation factor of 10, 52-order and stopband attenuation of 60dB. Owing to the multiple samples of filter length of 200, the filter performed down sampling preceded with filtering as well as up sampling preceded with filtering, hence multi-rate filter by allowing a low threshold of frequency of to be passed, blocking a high threshold of and vice versa. There was resampled output increased to 150% preceded by filtering. The filter coefficients for low pass and high pass Digital FIR filter, through the least square regression method, parks McClellan Algorithm and window methods were employed for easy optimization. More so, there was creation of 2-4-5 filter channel banks through the 2nd-level convolution of their down sampling and up sampling filtering techniques during the multi-irate filtering to ensure the design of error-free Digital FIR Filter using MATLAB File editor(M-File) and tool boxes for writing the C-programming of the design. In the analysis, the mean and standard deviation of the low pass Digital FIR Filter output during decimation and interpolation are (0.26, 6.13) and (0.004,1.22) respectively.

Optical Recognition of Handwritten Logic Formulas Using Neural Networks

In this paper, we present a handwritten character recognition (HCR) system that aims to recognize first-order logic handwritten formulas and create editable text files of the recognized formulas. Dense feedforward neural networks (NNs) are utilized, and their performance is examined under various training conditions and methods. More specifically, after three training algorithms (backpropagation, resilient propagation and stochastic gradient descent) had been tested, we created and trained an NN with the stochastic gradient descent algorithm, optimized by the Adam update rule, which was proved to be the best, using a trainset of 16,750 handwritten image samples of 28 × 28 each and a testset of 7947 samples. The final accuracy achieved is 90.13%. The general methodology followed consists of two stages: the image processing and the NN design and training. Finally, an application has been created that implements the methodology and automatically recognizes handwritten logic formulas. An interesting feature of the application is that it allows for creating new, user-oriented training sets and parameter settings, and thus new NN models.

Accuracy of a titanium maxillary complete denture baseplate fabricated by using the electron beam melting technique: An in vitro study

Statement of problemElectron beam melting (EBM) is a promising additive manufacturing technique for fabricating denture baseplates; however, studies evaluating its accuracy are sparse. PurposeThe purpose of this in vitro study was to compare the fit accuracy of titanium maxillary complete denture baseplates fabricated by using the EBM technique with those fabricated by using the conventional casting technique and to evaluate the dimensional accuracy of the EBM baseplate by using a 3-dimensional inspection software program. Material and methodsDefinitive casts of an edentulous maxilla were prepared. After the casts were optically scanned, computer-aided designs for the EBM baseplate were created by using a software program for standard tessellation language file editing. The EBM baseplates were fabricated with an EBM machine by using a Grade II titanium powder as the raw material. The cast baseplates were fabricated with a lost-wax casting technique by using refractory casts duplicated from the definitive casts. After fitting the EBM and cast baseplates to their corresponding definitive cast, they were embedded in a Type IV stone. The embedded baseplates on the casts were sectioned at 3 regions: posterior palatal seal, molar, and premolar. The maximum gaps between the baseplate and definitive cast were measured in these 3 regions. The virtual casts obtained by scanning the EBM baseplate were superimposed on the computer-aided design to evaluate the dimensional accuracy. Distribution color maps were then generated, and the mean absolute deviations and root mean square deviations were calculated. One-way analysis of variance and t tests were used for statistical analysis (α=.05). ResultsNo significant differences in the maximum gaps among the 3 regions were found in the cast or EBM baseplate groups (P>.05). The EBM baseplate group showed significantly lower values than the cast baseplate group in all regions (premolar: P=.008; molar: P=.003; posterior palatal seal: P=.004). The mean maximum gap for the 3 regions in the cast baseplates was 168.0 μm and that in the EBM baseplates was 60.7 μm. The distribution color map of the EBM baseplate showed a favorable dimensional accuracy. The mean absolute deviation value was 19.7 μm, and the root mean square deviation value was 25.1 μm. ConclusionsThe EBM baseplates had a significantly higher fit accuracy than the cast baseplates. Thus, the fit accuracy of the EBM technique is suitable for fabricating metal baseplates.

Mining Treatment-Outcome Constructs from Sequential Software Engineering Data

Many investigations in empirical software engineering look at sequences of data resulting from development or management processes. In this paper, we propose an analytical approach called the Gandhi-Washington Method (GWM) to investigate the impact of recurring events in software projects. GWM takes an encoding of events and activities provided by a software analyst as input. It uses regular expressions to automatically condense and summarize information and infer treatments. Relating the treatments to the outcome through statistical tests, treatment-outcome constructs are automatically mined from the data. The output of GWM is a set of treatment-outcome constructs. Each treatment in the set of mined constructs is significantly different from the other treatments considering the impact on the outcome and/or is structurally different from other treatments considering the sequence of events. We describe GWM and classes of problems to which GWM can be applied. We demonstrate the applicability of this method for empirical studies on sequences of file editing, code ownership, and release cycle time.

RAST GRAPHIC IMAGES PROCESSING AND FILTRATION SYSTEM SOFTWARE

Given the trend of active growth of graphic content on the World Wide Web and in the applied areas of practice of various industries, information systems and digital image processing services are becoming increasingly important, in particular, supporting appropriate operations for applying different types of filters to raster graphics. The aim of the article is to software development of a system for processing and filtering raster graphics for quick editing of files by content managers. Realization of the set purpose provides the decision of a number of problems: 1) the analysis of features of structure and construction of graphic vector images and modern graphic editors; 2) development and implementation of the class structure of the system; 3) description of the created system interface and the main functions for applying filters to the image. Scientific novelty. The article describes the possibilities of integrating a number of visual transformations and filtering with the support of creating convolution effects using the selected kernel matrix for raster images of equal level of detail and resolution. In conclusion, the article emphasizes that the processes of processing graphic bitmaps and adding appropriate filters to them are a priority for solving the application tasks of content managers of websites or groups of social networks. The advantages of using the developed system of processing and filtering of raster graphic images are its high speed, productivity of processing of parallel processing of a large number of images and portability, thanks to which the system can be used by different users without the need to install additional tools. The developed modular structure of the system allows to flexibly supplement or expand its functionality, in particular, quick integration of other data filtering algorithms into the basic software logic of the system is available.

Intraspecies Relationship of Croton (Codiaeum variegatum L.) in South Parigi District Based on Phenetic Analysis

Croton is one of the horticultural plant commodities that is important among the community because it plays a role in adding beauty and beauty and functions as a pollutant absorbent plant. This reseach is aims to describe the kinship relationship between croton cultivars. The research was conducted in May 2020. The type of research used is descriptive exploratory. The research sample used was eight croton cultivars with five individuals in each cultivar. The plant characters measured included 14 morphometric characters, six meristic characters, and 81 qualitative characters. Kinship analysis was processed using the File Editor Program (PFE) software and the Multivariate Statistical Package (MVSP). The amount of the similarity index is calculated using the Simple Matching Coefficient method, and the determination of kinship using the UPGMA algorithm. The results showed that eight cultivars were obtained and formed 3 clusters and two sub-clusters. The closest kinship relationship is between croton lele and croton with a thousand stars which are supported by a similarity index of 0.766 and the farthest relationship occurs between node 6 (croton drill, chips, crackers, catfish, thousand stars and swallow) and node 3 (croton sheep and turtles) ) which is supported by a similarity index of 0.6.

Supporting Engagement in Metamodeling Ideas in General Chemistry: Development and Validation of Activities Designed Using Process Oriented Guided Inquiry Learning Criteria

Metamodeling ideas move beyond using a model to solve a problem to consider the nature and purpose of a model, such as reasoning about a model’s empirical basis and understanding why and how a model might change or be replaced. Given that chemistry relies heavily on the use of models to describe particulate-level phenomena, developing sophisticated ideas about models reflects a critical competency for undergraduate students in chemistry courses. Here we describe a set of collaborative learning activities developed using the design criteria for process oriented guided inquiry learning. The activities were designed to use general chemistry topics as a context to engage students in the metamodeling ideas: model changeability, model multiplicity, evaluation of models, and process of modeling. In addition to learning relevant content (gas laws, nuclear chemistry, orbitals, colligative properties, equilibrium, chemical kinetics), each activity provides opportunities to reason about the nature of models, including mathematical models such as equations and graphs. As a practical consideration, the complete activities and instructor guides are provided as editable files.

GNSS Tabanlı Tektonik Uygulamalar için Çevirim İçi Bir Servis: Tektonik Araçlar

Geomatics applications have diversified with the development of GNSS technology and one of them is GNSS-based tectonic applications. A GNSS-based tectonic application process is consists of a network planning, static GNSS observations, control of the data obtained, preparation of data for evaluation, evaluation of data and interpretation of the results. During the application of these stages, there are preparation processes that require a long time, dependent on the operating system and complex like file editing, creating, merging, data quality control, producing intermediate outputs, manually converting output files into the input file of another software, coordinate conversion. This can prolong the process and increase the likelihood of errors. Considering these conditions, it is considered that this process creates a disadvantage for both the study and the researchers. Within the scope of this study, a Python-based online service, which is developed by the authors and called as Tectonic Tools for practicing all the researchers working in the related fields, is explained with a sample application.

Обнаружение скрытого стеганографического вложения и признаков монтажа в области данных аудиофайла

Наиболее часто используемые и передаваемые файлы — это аудиофайлы. Однако при такой передаче возникает вопрос об отсутствии модификации данного файла. Широкое распространение звуковых редакторов и различных программ обработки и монтажа аудиозаписей позволяют даже непрофессионалу осуществить фальсификацию фонограммы речи. Также возможна еще одна модификация аудиофайла, такая как использование его в виде стеганографического контейнера. Существует множество методов стеганографии для осуществления передачи информации под видом стандартных файлов. В связи с этим актуален вопрос по созданию методов исследования аудиозаписей и инструментальных средств анализа на наличие признаков их изменения. Поэтому в статье приводится исследование, посвященное обнаружению скрытого стеганографического вложения и признаков изменения в области данных аудиофайла с определением численных критериев принятия решения. Рассматриваются методы статистического анализа аудиофайлов на предмет внесенных изменений в области данных. При анализе внесённых изменений в аудиофайл применяют методы стегоанализа и спектральный анализ. Предлагаются алгоритмы, основанные на оценке изменения статистических характеристиках сигма-отношения «сигнал/шум», позволяющий провести оценку внесенных изменений. Описываются алгоритмы вычисления коэффициента сигма-отношения «сигнал/шум», на отдельных блоках, и на всем файле. Реализованные алгоритмы были проверены на аудиофайлах, в которые вносились следующие изменения: вставка — аудиофайл используется как стегоконтейнер; склейка — соединение двух аудиофайлов; вырезка — аудиофайл модифицируется путем удаления части информации. На основе предложенных методов проведена оценка возможных внесенных изменений. В результате эксперимента было выявлено, что с помощью методов можно оценить склейку аудиофайлов, вырезку фрагмента без предъявления оригинала. В статье приведены данные, которые показывают точность определения внесённых изменений.

International Association for Gondwana Research 2020 Annual Convention and 17th International Symposium on Gondwana to Asia, Novosibirsk, Russia

Abstract s for the oral and poster presentations and registration forms must be submitted before April 30, 2020. Abstracts should follow the format of Gondwana Research ( http://www.sciencedirect.com/science/journal/aip/1342937X ) and can be up to three printed pages with a maximum of one figure (in jpg format) and one table (in Excel format). The abstract volume will be published as a Conference Series volume of the IAGR. E-mail your abstract files to: iagr2020@igm.nsc.ru with copy to inna@igm.nsc.ru . The text and table (if any) should be in editable Word file and the figure should be in.jpg or.tif file. We cordially invite you to participate in this important international conference.

Panduan Alih Media Karya Tugas Akhir Teknik Mesin Menggunakan Aplikasi Nitro Pro 8

AbstractTransfer of media to digital format is an alternative choice to preserve the information content of library materials, because this format can be stored on relatively large capacity and durable storage media. In making this Media Transfer guide the Nitro Pro 8 application is used. The reason is that it is easier in the process of transferring information from word to pdf, as well as the availability of various menu options used to support the transfer process. Nitro Pro 8 itself is a software that we can use to read, create, edit and share PDF files. Nitro Pro allows us to process the batch file to convert documents to pdf. Nitro Pro is often called Nitro Pro PDF, which means a very good software for handling PDF files.Keywords: transfer, digital, Nitro Pro 8, library

Analisis Keanekaragaman Isolat Bacillus thuringiensis yang Patogenik terhadap Serangga Hama Kubis (Crocidolomia binotalis) dengan Pendekatan Sistematika Numerik

Diversity of B. thuringiensis (Bt.) isolates pathogenic to C. binotalis was determined by using Numerical Systematic Method. Ten isolates were taken to represent 34 pathogenic isolates along with two reference strains namely B. thuringiensis serovar kurstaki and B. thuringiensis serovar israelensis. The test isolates were examined for 89 phenotypic characters by using convensional method for colonial and cell morphology (37 characters) as well as physiological characteristics (3 characters) but biochemical characterization (49 characters) was conducted by using commercial API-50 CHB procedures. All phenotypic characters existed in one of two mutually exclusive states and were either scored plus (1) of minus (0). The binary data were prepared in Programmer’s File Editor (PFE) software. The data then were analysed by using the Multi Variate statistical Package (MVSP) Plus-Version 3.1 using the Simple Matching Coefficient (SSM). Clustering was achieved using the UPGMA algorithm. The results were presented as dendrograms. It was obtained that the test isolates were clearly assigned to two distinct multimembered clusters defined by 79.6 similarity level (S-level) in the SSM, UPGMA analysis. The two distinct clusters represented by each of two widely known different group of Bt. strains, namely serovar israelensis and serovar kurstaki. The first cluster contained reference strain of B. thuringiensis serovar israelensis, and two of the isolates (Slk2.3, and YPPA1) and the second cluster contained another reference strain of B. thuringiensis serovar kurstaki, and 8 of the isolates. Therefore, it strongly suggested that the application of numerical-fenetic analysis could provide a tool to unravel the strain diversity belong to B. thuringiensis.

Low-cost (

Spectrophotometry is a fundamental technique in many areas of science, with many applications and uses. The cost of spectrophotometers has acted as a barrier on the teaching and use of the technique. Here, we provide open-source plans to a 3D-printed cuvette holder with an interchangeable narrow–spectral bandwidth light-emitting diode (LED) block that can be used in conjunction with a smartphone’s ambient light sensor (ALS) to perform spectrophotometry. A Lego version with an interchangeable LED block is also presented. Results from the smartphone spectrophotometer in comparison with commercially available spectrophotometers demonstrated functionality, and the model may have many applications, especially in indirect spectrophotometry, such as in the protein assay shown here. The plans for the 3D-printed model are freely available on GitHub, as are editable files to allow customisation by users. We would encourage users to share adaptations with the scientific community.