Computer Programming Language Research Articles

APLIKASI KONSULTASI DOKTER-PASIEN SECARA ONLINE BERBASIS ANDROID MENGGUNAKAN REACT NATIVE

The use of communication technology has penetrated into every field, including those related to medical consulting services. Smartphone devices not only function as a verbal communication tool, but can be used for online communication. With the development of computer programming languages, smartphone devices can be used more widely to serve consultations about health. Javascript is a programming language that is widely used in developing mobile applications. The React Native framework is used to design mobile applications so that they are easy to use via smartphone devices without going through a web application. In this study UML is used as an application design method and firebase as a data storage medium. The trials were carried out using BlackBox Testing on 4 smartphone devices based on the Android operating system with different specifications. In addition, trials were also carried out on every function in the Doctor-Patient Consultation application involving 25 respondents by providing an assessment. The test results show that the use of the React Native framework maximizes the design of Android-based mobile applications. Of the 4 smartphone devices, all functions in the application went well, apart from that, 25 respondents who gave an assessment of more than 65% stated that they agreed and strongly agreed with each statement regarding the application.

Cheap, Quick, and Rigorous: Artificial Intelligence and the Systematic Literature Review

The systematic literature review (SLR) is the gold standard in providing research a firm evidence foundation to support decision-making. Researchers seeking to increase the rigour, transparency, and replicability of their SLRs are provided a range of guidelines towards these ends. Artificial Intelligence (AI) and Machine Learning Techniques (MLTs) developed with computer programming languages can provide methods to increase the speed, rigour, transparency, and repeatability of SLRs. Aimed towards researchers with coding experience, and who want to utilise AI and MLTs to synthesise and abstract data obtained through a SLR, this article sets out how computer languages can be used to facilitate unsupervised machine learning for synthesising and abstracting data sets extracted during a SLR. Utilising an already known qualitative method, Deductive Qualitative Analysis, this article illustrates the supportive role that AI and MLTs can play in the coding and categorisation of extracted SLR data, and in synthesising SLR data. Using a data set extracted during a SLR as a proof of concept, this article will include the coding used to create a well-established MLT, Topic Modelling using Latent Dirichlet allocation. This technique provides a working example of how researchers can use AI and MLTs to automate the data synthesis and abstraction stage of their SLR, and aide in increasing the speed, frugality, and rigour of research projects.

Determinant factors of distance self-learning performance on computer programming language education - a concept map approach

Determinant factors of distance self-learning performance on computer programming language education - a concept map approach

An Introductory Course in Electrical Circuits and Coding for Deaf and DeafBlind Middle School Students

The Playful Learning Lab collaborated with Metro Deaf School (MDS) to design and deliver an Intro to Electronics and Computer Programming course to Deaf and DeafBlind middle school students. Four sets of 6–8 students went through an approximately 20-day course that met four days a week for 40 minutes per day. The content of the class focused on electrical circuits and computer programming. Lessons covered topics such as conductivity, closed/open circuits, series/parallel circuits, and coding. Students were introduced to the Scratch computer programming language and Makey Makey kits. The development and delivery of the course was a collaborative effort between Metro Deaf School staff and the undergraduate student researchers in the Playful Learning Lab. The class was a project based mix of lectures, projects, and hands-on assignments. In this presentation we will share the lessons learned by designing, and delivering, this course.

PELATIHAN DASAR PEMROGRAMAN VISUAL DI SMK AL-IHSAN BATUJAJAR

The purpose of this community service is to teach basic training on visual basic programming. Visual Basic programming is a programming language studied by Informatics Engineering and Computer Engineering students. Visual basic is a computer programming language that is directive or commands that can be understood by the computer to carry out certain commands. Community service carried out by TEDC Bandung Polytechnic students held training for students of SMK Al-Ihsan Batujajar on Basic Visual Basic Programming. This is related to the subjects available at the school, namely Windows-based Programming Subjects. The method implemented by TEDC Polytechnic students is community service in the form of training. The result of this community service is that students of SMK Al-Ihsan Batujajar can understand and implement the results of training in Windows-based Programming subjects. The conclusion of this community service is that students are able to understand and re-implement the material that has been taught by using existing facilities.

The Study of Utilization of Machine Learning in the Automobile Sector

Numerous businesses and institutions are involved in the study, design, manufacture, and sale of automobiles; they are all part of the Automotive Sector. In terms of market capitalization, the automobile industry is among the top five most profitable in the world. Businesses in the car business and those closely related to it are the ones who really get to put wheels on the road. Most of the parts are included in this, including the engine and body, but not the wheels, batteries, or gas. The automotive industry has worldwide influence and significance notwithstanding the problem of excess capacity and poor profitability. The automotive industry is vital to global trade and production. More than half of the world's oil consumption is attributable to the production of about 60 million automobiles and light trucks annually. Self-driving capabilities, in-car Wi-Fi and navigation systems, parking assistance, programmable computers, energy- saving features, night-vision aid, all-around cameras, automatic emergency braking, sensors to detect pedestrians, and driver concentration aids, etc. are just a few of the technologies we use often in our cars. Several features in cars that we use often include autonomous driving capabilities, in-car internet, parking assistance, onboard computers, and parking sensors. Our ride is safe and comfortable because of these features. Automobiles rely on the driver's active participation to function properly. Although, "how can we achieve this, and what is the logic behind the automobile industry?" is the fundamental issue that has to be posed. Computer jargon or programming language may be a good way to describe the answer to this issue. Incorporating new languages into vehicles is now possible because of the abundance of available programming languages. The Automotive Group relies heavily on machine learning and AI to accomplish its goals. Keywords— Artificial Intelligence, Automotive Industry, Deep Learning, Convolutional Neural Network, Technology, Machine Learning

PENERAPAN KRIPTOGRAFI CAESAR CIPHER PADA FITUR PESAN TEKS

The progress of communication in the era of technological development where applications and communication support in various ways are increasingly sophisticated indicates that more and more people need access and relationships in every existing communication. Therefore, data or information security is needed to maintain confidentiality. One way to secure data or information is with Cryptology. Cryptography is the study of posting security (confidentiality), cryptographic algorithm techniques consisting of substitution and transposition techniques. Cryptographic methods or techniques can be trusted to deal with data or information security problems, because apart from using computer programming languages, cryptography also uses mathematical formulas, ranging from simple formulas to complex formulas. From the results of the study it can be concluded that with the formula used in the Caesar Cipher cryptographic method, it can be said that even though the Caesar Cipher is difficult to solve, it can be easily solved using mathematical formulas and using a programming language to obtain encryption and decryption results.

Computer Programming for Selection of Boom Width and Tank Capacity of Field Sprayers

A computer programme was developed for selection ofboom width and tank capacity of field sprayer. The computer modelwas built up using Visual Basic (ver.6) computer programminglanguage in which input data were inserted directly and output resultswere obtained easily on the computer screen or as a printout. Themodel was verified with data collected from some agricultural privatecompanies in Gedarif area, Kenana agricultural implements factoryand some data from the literature. The validity of the model was tested,and the results showed close agreement between the fieldmeasurements and the computer model predictions. The sensitivityanalysis of the model revealed that changes in any of the inputparameters used could directly affect the output of the model, such asboom width, tank capacity and work rate. The accuracy of the modelwas also tested statistically. The model is helpful in proper sprayersmanagement and quick decision-making.

NeuTHOR Station-A Novel Integrated Platform for Monitoring BNCT Clinical Treatment, Animal and Cell Irradiation Study at THOR.

(1) Background: A well-established Boron Neutron Capture Therapy (BNCT) facility includes many essential systems, which are the epithermal neutron beam system, on-line monitoring system (OMS), QA/QC (quality assurance or quality control) system, boron concentration (BC) measurement system, and treatment planning system (TPS). Accurate data transmission, monitoring, and deposition among these systems are of vital importance before, during, and after clinical, animal, and cell BNCT irradiation. This work developed a novel integrated platform NeuTHOR Station (NeuTHORS) for BNCT at Tsing Hua Open-pool Reactor (THOR). Apart from the data of the OMS and QA/QC system, the data of BC and TPS can be loaded on NeuTHORS before BNCT clinical, animal, and cell irradiation. (2) Methods: A multi-paradigm computer programming language c# (c sharp) was used to develop the integrated platform NeuTHORS. The design of NeuTHORS is based on the standard procedures of BNCT treatment or experiment at THOR. Moreover, parallel testing with OMS-BNCT (the former OMS) and QA/QC of THOR was also performed for more than 70 times to verify the validation of NeuTHORS. (3) Results: According to the comparisons of the output, NeuTHORS and OMS-BNCT and QA/QC of THOR show very good consistency. NeuTHORS is now installed on an industrial PC (IPC) and successfully performs the monitoring of BNCT Treatment at THOR. Patients' f BC and TPS data are also input into NeuTHORS and stored on IPC through an internal network from BC measurement room and TPS physicist. Therefore, the treatment data of each patient can be instantaneously established after each BNCT treatment for further study on BNCT. NeuTHORS can also be applied on data acquisition for a BNCT-related study, especially for animal or cell irradiation experiments. (4) Conclusions: A novel integrated platform NeuTHOR Station for monitoring BNCT clinical treatment and animal and cell irradiation study has been successfully established at THOR. With this platform, BNCT radiobiology investigations will be efficiently performed and a thorough data storage and analysis system of BNCT treatments or experiments can thus be systematically built up for the further investigation of BNCT at THOR.

Novelty for Different Prime Partial Bi-Ideals in Non-Commutative Partial Rings and Its Extension

In computer programming languages, partial additive semantics are used. Since partial functions under disjoint-domain sums and functional composition do not constitute a field, linear algebra cannot be applied. A partial ring can be viewed as an algebraic structure that can process natural partial orderings, infinite partial additions, and binary multiplications. In this paper, we introduce the notions of a one-prime partial bi-ideal, a two-prime partial bi-ideal, and a three-prime partial bi-ideal, as well as their extensions to partial rings, in addition to some characteristics of various prime partial bi-ideals. In this paper, we demonstrate that two-prime partial bi-ideal is a generalization of a one-prime partial bi-ideal, and three-prime partial bi-ideal is a generalization of a two-prime partial bi-ideal and a one-prime partial bi-ideal. A discussion of the mpb1,(mpb2,mpb3) systems is presented. In general, the mpb2 system is a generalization of the mpb1 system, while the mpb3 system is a generalization of both mpb2 and mpb1 systems. If Φ is a prime bi-ideal of ℧, then Φ is a one-prime partial bi-ideal (two-prime partial bi-ideal, three-prime partial bi-ideal) if and only if ℧\Φ is a mpb1 system (mpb2 system, mpb3 system) of ℧. If Θ is a prime bi-ideal in the complete partial ring ℧ and Δ is an mpb3 system of ℧ with Θ∩Δ=ϕ, then there exists a three-prime partial bi-ideal Φ of ℧, such that Θ⊆Φ with Φ∩Δ=ϕ. These are necessary and sufficient conditions for partial bi-ideal Θ to be a three-prime partial bi-ideal of ℧. It is shown that partial bi-ideal Θ is a three-prime partial bi-ideal of ℧ if and only if HΘ is a prime partial ideal of ℧. If Θ is a one-prime partial bi-ideal (two-prime partial bi-ideal) in ℧, then HΘ is a prime partial ideal of ℧. It is guaranteed that a three-prime partial bi-ideal Φ with a prime bi-ideal Θ does not meet the mpb3 system. In order to strengthen our results, examples are provided.

Digital Signature Standard Implementation Strategy by Optimizing Hash Functions Through Performance Optimization

Security method of data transmission process has been growing rapidly with the science of cryptography. Cryptography can provide security services that includes security aspects like confidentiality, data integrity, authentication and non-repudiation. Modern cryptography uses a key that must be kept secret to overcome the problem of cryptographic security. Problem in the use of the same key by two entities that communicate with each other in exchanging messages is a way to distribute the key. This problem can be overcome by using public-key cryptography, which allows users to communicate securely without a shared secret key. Digital signature is the application of public-key cryptography. When accessing important digital documents, it is necessary to verify the signature given. Implementation of digital signature always requires a hash function. Hash function used in this research namely SHA-256, SHA-384 and Tiger. Federal Information Processing Standards (FIPS) set the cryptographic standard for digital signatures is the Digital Signature Standard (DSS). Algorithms included in the DSS are the Digital Standard Algorithm (DSA), Ron Rives, Adi Shamir, and Leonard Adleman (RSA) and Elliptic Curve Digital Signature Algorithm (ECDSA). So it is necessary to test the best digital signature implementation strategy that can be used by optimizing the performance of the hash function. Performance testing of the three algorithms is done by making an application using a computer programming language C++. Implementation program using C++ class library for cryptographic scheme that is Crypto++ Library 5.6.0. Class libraries used in the classes functions for digital signatures. On the application of digital signatures generated, conducted tests is done by combining each hash function algorithm with each of the DSS in order to compare their performance in terms of time and memory usage. Against the test results are then analyzed using statistical tests. The result shows that pair of Tiger hash function and DSA algorithm is the best combination.

Performance Evaluation of Canonical Correlation Analysis and Generalized Canonical Correlation Analysis with Some Continuous Distributed Data

This study was embarked to examine the performance evaluation of canonical correlation and generalized canonical correlation analysis with some continuous distributed data (Gamma, Gaussian, Exponential and Beta). The objectives of the study were to: ascertain if the anthropometric indicators of patients were correlated; ascertain if there is any relationship between vital signs and anthropometric dimensions of patients; obtain the relative efficiency of CCA and GCCA techniques for four continuous distributed simulated data; and determine the model performance adequacy of CCA and GCCA techniques. Real life medical data set was used, consisting of three response variables (Respiration rate, heart rate, temperature) named the vital signs and three predictor variables (Hip circumference, weight, height) named anthropometric dimensions. The study employed the real life data set to simulate data of sample sizes 15, 30, 45, 60, 100, 120, 140, 160, 400, 600, 800 and 1000 for the four continuous distributions. A computer programming language codes were written via R-Studio package to solve the numerous numerical problems in this study. The result of the study revealed that anthropometric dimensions, being the independent variables were not correlated, which implied that there was no symptom of multicollinearity using the Eigen values/condition index technique. In addition, there was significant relationship between vital signs and anthropometric dimensions of patients using Wilks’ Lambda, Hotelling-Lawley Trace, Pillai’s Bartlett Trace and Roy’s Largest Root multivariate statistics. The adequacy of the CCA and GCCA was evaluated using Wilcoxon rank sum test; and the result revealed that GCCA was more efficient than that of CCA for the Gamma and Beta distributed data, while for Gaussian and Exponential distributed data, the relative efficiency of the CCA and GCCA was the same.

Carbonate texture identification using multi-layer perceptron neural network

Abstract This study proposes an approach to identifying carbonate rocks depositional texture utilizing more than 1250 thin-section photos as a data set from shallow-water carbonates of the Kruja zone (Albania). The proposed technique uses a numerical methodology based on digitized images of thin sections. According to the Dunham classification, it permits the user to recognize the carbonate texture automatically. The carbonate rock should not be affected by post-depositional processes. This technique uses as input gray-scale digital images taken from thin sections. Image processing can extract (as output) a set of 22 numerical parameters measured in the entire image, including white areas representing calcite cement. A multi-layer perceptron (MLP) neural network inputs these numerical parameters and produces, as output, the estimated depositional texture. We utilized 654 images of thin sections to evaluate this technique to train the neural network. We used 348 pictures taken from the same data set and 250 from the Burizana section (Kruja zone, Albania) to test the technique. The proposed method has shown 90.5 and 91.3% accuracy in identifying the automatically depositional texture using digitized images on the 348 and 250 test sets. Based on the good results obtained, this technique can be extending not only in identifying carbonate rocks texture but in every type of rock, getting fast and correct results. Python was used as a computer programming language for image processing and displaying images.

Serious Games and Computer Programming Competencies Development in Educational Contexts

This paper aims to identify the relationship between Serious Games (SG) and the development of competencies related to computer programming. A mixed-methods sequential explanatory design was applied, based on a learning experience with Serious Games focused on computer programming languages. The principal finding was a parallel development between computer programming and other generic skills related to English, Math and Spanish. It is concluded that SG have a positive relationship with the development of competencies within the formal education environment, which indicate a great potential to support teaching and learning processes.

Proto-Quipper with Dynamic Lifting

Quipper is a functional programming language for quantum computing. Proto-Quipper is a family of languages aiming to provide a formal foundation for Quipper. In this paper, we extend Proto-Quipper-M with a construct called dynamic lifting , which is present in Quipper. By virtue of being a circuit description language, Proto-Quipper has two separate runtimes: circuit generation time and circuit execution time. Values that are known at circuit generation time are called parameters , and values that are known at circuit execution time are called states . Dynamic lifting is an operation that enables a state, such as the result of a measurement, to be lifted to a parameter, where it can influence the generation of the next portion of the circuit. As a result, dynamic lifting enables Proto-Quipper programs to interleave classical and quantum computation. We describe the syntax of a language we call Proto-Quipper-Dyn. Its type system uses a system of modalities to keep track of the use of dynamic lifting. We also provide an operational semantics, as well as an abstract categorical semantics for dynamic lifting based on enriched category theory. We prove that both the type system and the operational semantics are sound with respect to our categorical semantics. Finally, we give some examples of Proto-Quipper-Dyn programs that make essential use of dynamic lifting.

Parmanu‐Gunak: Data Reduction Software for Isotope Dilution Analysis

Isotope dilution (ID) is a widely used analytical technique to determine elemental abundance to a high degree of accuracy and precision, using a spiked isotope tracer. This technique also enables efficient correction of the inevitable phenomenon of analytical mass fractionation during mass spectrometric analysis. It is also used to determine stable isotope variations of an element in a sample relative to a reference material, using tracers enriched in two isotopes (popularly known as the double spike method). Isotope dilution data reduction can be performed in Microsoft® Excel™ using different algorithmic approaches. Additional software such as iolite and MATLAB® offer algorithm implementations to perform these calculations. These are however limited to use within particular laboratories/research groups, or either require additional cost‐bound software or some degree of knowledge in computer programming languages for use, or all of these. To ease this situation, a graphical user interface‐based software is proposed (here named Parmanu‐Gunak, meaning Atom‐Calculator in Sanskrit text) to invert both single and double spiked isotope data, with the aim of making it a standard tool for ID data reduction. Examples of Nd and Mo isotopes are used to demonstrate the robustness of the program.

An Insight into the Philosophy of Computer Languages

Computer programs don’t exist in a vacuum. They belong to a rich-socio technological context which helps in gaining an in-depth understanding of the operations and functionalities of a computer. Computers have changed how societies think and behave. Developing countries, though lagging in technological advances when compared to other countries, have been transformed by technology. However, in such countries, knowledge of computer programming, its ontologies, and epistemologies is a reserve of the few privileged scholars. Perhaps, this is due to the limited access to technology caused by the economic crisis present in third-world countries. The work of philosophy is to present knowledge in an acceptable way that will enhance the advancement and recreation of ideas thus, a philosophical perspective on programming languages for developing countries is a step in the right direction as it will bud advancements in computer language research and arouse interest in the philosophy of computer languages. This paper presents an atmosphere where a broader understanding of the philosophical concepts in computer programing languages can be derived. It gives an overview of the foundation of programming languages, highlights their developments over time, and gives the philosophical stand of the research works that have delved into the field. This paper also examines methods through which other academic disciplines have enabled the developments and advancements in computer programing languages and the contribution of computer programing to other disciplines. Should a reader gain an unbiased perspective on the debate surrounding the philosophy of computer programming languages, then, this paper would have served its purpose.

Sustainable Learning of Computer Programming Languages Using Mind Mapping

In the current era of information technology, students need to learn modern programming languages efficiently. The art of teaching/learning programming requires many logical and conceptual skills. So it’s a challenging task for the instructors/learners to teach/learn these programming languages effectively and efficiently. Mind mapping is a useful visual tool for establishing ideas and connecting them to solve problems. This research proposed an effective way to teach programming languages through visual tools. This experimental study uses a mind mapping tool to teach two programming environments: Text-based Programming and Blocks-based Programming. We performed the experiments with one hundred and sixty undergraduate students of two public sector universities in the Asia Pacific region. Four different instructional approaches, including block-based language (BBL), text-based languages (TBL), mind map with text-based language (MMTBL) and mind mapping with block-based (MMBBL) are used for this purpose. The results show that instructional approaches using a mind mapping tool to help students solve given tasks in their critical thinking are more effective than other instructional techniques.

NLP and oral health information.

NLP and oral health information.

Computer Programming Language Solution to a Transportation Problem Involving a Concave Cost Function

The work is on computer programming language solution to a transportation problem involving a concave cost function. Two computer programming languages; Wolfram Mathematica and Anaconda Python programming tools were employed in this study to effectively solve four real life examples from published works. The results from the programming languages yielded an optimal value of N253,000 with an optimal solution as z12 = 13, z22 = 5, z23 = 8, z31 = 11 and z33 = 4 in the first example and the remaining three examples were successfully solved with optimal values of N377,000, GH¢ 236,000 and N509,000 respectively, and the results agreed with the results of existing Karush-Kuhn-Tucker (KKT) procedure of Modified Distribution Method.