bluuebunny/crossref_metadata_2025 huggingface dataset:
Strength Verification of Structural Steels and Materials
Authors: Juhás Pavol
Published: March 2021

There is already a relatively wide range of structural steels and materials of various shapes and strengths for manufacturing of steel structures. They produce in different countries of Europe and the world. It is primarily a matter of the manufacturer, resp. the contractor of the steel structure with the vat and under what conditions he will provide the necessary construction materials. In addition to the price point of view, the quality of the considered construction materials is probably important. In particular, their geometric and strength suitability and accuracy are taken into account here. The quality of structural steels and materials is generally specified in the relevant standards and is the responsibility of the respective manufacturers. They declare it in the so-called quality certificates. At the same time, for various reasons, there may be a need to verify the declared quality, in particular the strength of specific structural steels and materials. The paper presents common probabilistic-statistical procedure and the strength procedures of structural steels and materials based on the test results, which are enabled by the current European standard EN 1990: 2002 as well as the transformed national standard CSN EN 1990: 2004, and similar other national standards. The practical application of the individual procedures and some details are illustrated by a specific example.
Construction-Technical Survey of a Historical Building in Loket
Authors: Kankovsky Ales , Dedic Martin
Published: March 2021

The main objective of the article is to inform about the construction-technical survey, which focuses on the existing historical building from the first half of the 19th century, in Loket city, Czech Republic. In the past, the building was hit by floods, which affected its technical condition, the deterioration of which also affected the subsequent abandonment of the building, and neglect of maintenance. The main research issues stem from the building-technical survey focused on the condition of structures, especially the load-bearing wall structures, the ceiling structures, and the roof structures. After detecting the faults and other possible damage, we look for their causes and find out which of them are fatal to the building and which can easily remove. Of the evaluated structures, we focus mainly on their damage due to moisture, excessive structures loading, and changes in foundation conditions caused by previous floods. Furthermore, we assess the impact of failures on the structure and operation of the building. In conclusion, we propose measures based on the structure’s found failures and possibilities for their repair.
Ensuring Blast Resistance of Critically Important Buildings and Constructions in Case of Air Crash
Authors: Komarov A A , Gromov N V , Korolchenko O N
Published: March 2021

Introduction. The paper is focused on improving blast resistance of critically important buildings and constructions exposed to a deflagration explosion due to an aircraft (A/C) crash in their vicinity, by improving methods of the explosion effects calculation. The main tasks include: 1. considering the physical processes that occur during an aircraft crash, which causes the formation of a highly explosive cloud; 2. quantifying the parameters affecting explosion loadings; 3. provide insights into modern procedures for calculating effects of a deflagration explosion caused by an A/C crash; 4. giving an example of calculating the loadings on a critically important building or construction in a crash deflagration explosion. Methodology and calculations. The article presents a methodology for calculating the maximum parameters of explosion loadings on buildings and constructions arising from aircraft crash situations. The calculations are performed with the help of author’s and generally accepted methods by the numerical method with the use of MatLab software complex. Results and discussion. As a result of calculations, the proposed methodology allows to obtain: the fuel mass values capable of forming highly explosive mixture; to choose the appropriate scenario for the development of an aircraft crash: an igneous ball or a deflagration explosion of a fuel-air mixture; to determine the time dependence of the fuel vapor concentration in the air; to evaluate the maximum apparent flame front speed; to determine the dynamic parameters of the fireball and the time dependences of the overpressure at points in the space adjacent to the explosion site; to build up a maximum pressure field created by this deflagration explosion; to obtain the explosion loading integral parameters: the maximum and minimum explosion overpressure, the compression phase pulse, the probability of destruction of buildings; to evaluate vibration loading on the building from a deflagration explosion. Conclusion. The methodology presented in the article can be used to calculate the loadings on buildings and structures during a deflagration explosion that occurs when an aircraft crash.
Properties of Selected Polyurethane Sealants in the Sealing of Cement-based Materials
Authors: Boháček Adam
Published: March 2021

Since the rise of cement-based building elements, there has been a need to seal these materials. Therefore, this article deals with the sealing of cement-based materials, specifically glass cement. The aim of this work is to find a sealant for sealing this problematic substrate, to verify its suitability and to show that polyurethane sealants are also important in the construction market. The problem of a cement-based substrate lies mainly in the dustiness of its surface, where there are always small dust particles on its surface. The main method for testing these sealants is the tensile test, which checks both the properties of the sealant itself and the contact joint between the sealant and the base material. Tensile test specimens are made of glass-cement plates and three representatives of one-component flexible polyurethane sealants are selected as the sealing material. From the results of the tensile test, it can be concluded that, with the appropriate choice of sealant and primer, problematic cement-based materials with good results can be sealed, provided that the grinding is carried out correctly.
Problems of Regulating the Safe Evacuation of People at the Subway Stations
Authors: Parfyonenko A , Kostyuchenko E
Published: March 2021

This article describes the main provisions for assessing the safety of people during the evacuation from the subway stations. A huge number of passengers waiting for the train, leads to a seal flow. The high-density value reduces the width of the doorway in the light. People tend to enter the car without waiting for the passengers to leave it, being afraid not to have time to land in the allotted time for this or not to get into the car as a result of its overfilling. Higher intensity values can be observed in the case of a small number of waiting passengers. The density of people on the platform when waiting for the train determines, in addition, the comfort of the waiting conditions of passengers and their safety. The presented results of the study on the safety of subways will allow more accurately and differentially determine the movement of human flows in the different sections of the track at the metro stations.
Problems and Solutions for Green Roofs
Authors: Maltseva I N , Shvalev D M , Tkachuk K A
Published: March 2021

Green roofs have been the standard design in many countries for hundreds of years due to the excellent thermal insulation properties of the fertile layer. A green roof is a space created by adding additional layers of fertile soil and plants over a traditional roofing system. Green roofing should not be confused with a traditional roof garden where plants are placed in free-standing containers on an exploited roof terrace. This article discusses the main advantages of roofing landscaping, the factors that influence the choice of type of roofing depending on climatic conditions and the main types of design solutions in megacities. The authors analyse the influence of the green roof on the energy efficiency of the building in the climatic conditions of Yekaterinburg. The main disadvantages of landscaped exploited coatings are considered. Also proposed is a new technology for the construction of an operated roof without a roll coating, but using penetrating waterproofing of reinforced concrete structures. It has now been proven that a properly designed and installed green roof can replace or compensate for the green environment at ground level that a large city is deprived of as a result of urbanization. The use of green roofs gives the metropolis ecological, social, economic and aesthetic benefits.
Measurement of Information Security Awareness Level: A Case Study of Digital Wallet Users
Authors: Fadhilah A L , Ruldeviyani Y , Prakoso R , Arisya K F
Published: March 2021

Awareness of a person is an important factor in maintaining information security and reducing the fraud gap. The existence of various types of digital wallet application fraud requires someone to have an awareness of information security. This study was conducted to measure the information security awareness of digital wallet users. The research was conducted by distributing questionnaires to 156 respondents of digital wallet users. These respondents represented users of digital wallet applications in Indonesia. Information security was measured based on the user’s knowledge-attitude-behavior. The assessment of information security awareness level was calculated using the Analytic Hierarchy Process (AHP) method. The results showed that the score was at the awareness level of good (80.78%). However, several focus areas still showed score at the average level which was one of the reasons why there are still many information security breaches against users of the digital wallet.
The Performance of Indonesia’s President: A Sentiment Analysis in Social Media
Authors: Mansur Agus , Allamsyah Zuhdi , Amalia Putri
Published: March 2021

The role of a leader is critical, especially when a person leads a country. Indonesia, as the biggest archipelago country, led by Jokowi since 2014. From his first period in 2014 until his second period started in 2019, many opinions, suggestions, and criticisms addressed to the president, Jokowi. This research aims to measure the performance of Jokowi as Indonesia’s president by collecting public opinions on social media, peculiarly in an interview video published on YouTube. All comments are scrapped and processed using machine learning tools, which are Python and TextBlob. The results of this research are positive and negative sentiments related to Jokowi. From the research conducted, the most influential positive sentiments of Jokowi are his personality. The negative sentiments gained in the video are about the poor quality of translation and the English skill of Jokowi.
Digital Village: Modelling of Public Wireless Internet Development using Supply Chain Structure Approach
Authors: Wijiyanto  , Nurchim
Published: March 2021

This study aims to describe the design of rural public wireless internet development based on a supply chain structure approach. Now, many new internet services have sprung up in the private, public, business, education, health, and even governmental sectors until considered as the leading global system. Especially in rural areas, the provision of cable internet networks and cellular internet networks have not been able to reach all rural areas, so a new breakthrough is needed, one of which is a public wireless internet network. This research was conducted with a Design-Based Research approach that combines scientific design methods with the problems that occur for internet development in rural areas of Indonesia. The finding that the development of wireless internet in rural areas can be carried out with the concept of a supply chain structure consisting of suppliers (ISP providers of internet sources), manufacturers (local government or village-owned enterprises managing and transmitting wireless internet to wholesaler), wholesaler (installed 5GHz wireless repeater in people residential areas), retailers (installed 5GHz wireless receiver devices from wholesaler and convert to 2.4GHz wireless transmitters installed in every resident’s house) and customers (each resident’s smartphones or notebooks device connected by wireless).
Smart Bumdes: Innovation of E-Collaboration and E-Commerce for Village Economic Development Solution in the New Normal Era (Case Study in Batu City)
Authors: Prabowo A , Arisha F , Triyana D , Baharudin A F
Published: March 2021

The COVID-19 outbreak in Indonesia has burdened society with enormous costs, from the number of deaths, limited activities, and loss of work. The negative effect of this causes global economic crisis. Businesses feel the negative impact of the Corona COVID-19 virus pandemic which threatens the status of the continuity of the business, especially businesses that do not have sufficiently good adaptations, such as businesses owned by BUMDes (Village- owned enterprises). The purpose of this research is to find the latest innovations through Smart BUMDes based on technology (application). The research method used is the Empathy Map method with direct interview techniques with BUMDes and the efforts under them, and refined through the Experimental method to make the application. The results of this study present an online platform called Smart BUMDes which functions as e-collaboration and e-commerce. E-collaboration functions as a forum that facilitates training and business consultation, Controlling, Monitoring and Reporting by related Mnistries, Local Governments, Village Governments (BUMDes and businesses under them). E-commerce has a function as a platform for selling local village products and services. From these two functions, it is hoped that they can build the village economy in the new normal era.
Classical and Deep Learning Time Series Prediction Techniques in the Case of Indonesian Economic Growth
Authors: Bunyamin Hendra , Meyliana
Published: March 2021

Gross Domestic Growth (GDP) as a proxy of an economic growth in one country is defined as the market value of services and goods produced by the country for a year. As the GDP of one country gets higher and higher through the years, this indicator points out that in general the economic growth of the country is growing; specifically, the values of services and goods accumulated in the market are increasing. To determine what indicators of a country that affects one’s economic growth remains an open question. Therefore, this research attempts to study those indicators and particularly utilize them to predict the economic growth. To answer those questions, this research employs diverse time series techniques ranging from classic time series analysis to machine learning and deep learning. Subsequently, our dataset comprises World Development Indicators (WDI) of Indonesia from 1962 to 2016. By measuring Root-Mean-Square Error (RMSE), we show Seasonal Autoregressive Integrated Average (SARIMA) and Convolutional LSTM give the the best performance from classical and deep learning techniques respectively. Our analysis shows SARIMA’s performance is boosted by its ability to capture trend and seasonality of the dataset; equally important, Convolutional LSTM equipped with convolutions as part of reading input into LSTM units significantly boost the performance over either Convolutional or LSTM networks. Furthermore, our analysis points out that the indicator which most strongly contribute to predict GDP is CO2 emission. This result agrees to the fact that some countries with high CO2 emission also has high GDP as well; also this finding should warn Indonesian government of the increasing CO2 pollution.
Classifying Medical Document in Bahasa Indonesia using Semi-Supervised Learning
Authors: Fudholi Dhomas Hatta , Juwairi Kiki Purnama
Published: March 2021

The medical domain has always been an all-time important domain since healthiness is everyone’s purpose. People find medical document resources in the sea of data and information, such as the web. To support information retrieval and knowledge dissemination through the web, we analyze the use of semi-supervised learning to classify medical-related documents. The semi-supervised learning technique is chosen to show the possibilities of creating good classifiers with limited human supervision. In this research, we use the Naïve Bayes and Pseudo Labeling technique. We analyze different labeled:unlabeled data ratios of the training dataset in the experiment, starting from 4:3, 3:4, 2:5, and 1:6, to see the semi-supervised learning performance with different levels of human supervision. We get a relatively similar result in terms of classification average accuracy (81%-83%). Interestingly, in one experiment, the highest accuracy of the 1:6 ratio (85%) outperforms the 2:5 ratio (82%) and has the same accuracy as the 4:3 (85%). However, the standard deviation of the accuracy in the 1:6 ratio is the highest, amongst others (4.183). Finally, semi-supervised learning can be used to create a great classifier model of the medical domain in Bahasa Indonesia with less human supervision.
Analysis and Designing Enterprise Architecture of PT. Adigas Jaya Pratama on Sales and Service Function Using TOGAF Framework
Authors: Rachmandany Alfian Mulya , Utama Rd. Lugina L. , Lubis Muharman , Ambarsari Nia
Published: March 2021

PT. Adigas Jaya Pratama is a company that distributes various products of Pertamina, which focus on delivering LPG (Liquefied Petroleum Gas) to the distributors. There are still various problems occurred in term of service level agreement (SLA), which in many case merely based on promise, while at the same time there are also the incapability of monitoring and checking for updating items in the inventory and the storages. Meanwhile, the process of handling customer complaints often causes the decreasing in the level of satisfaction and loyalty to the services provided. To overcome these problems, the solution made must take explicit concern to the harmony between business and information technology aspects. It is necessary to design an enterprise architecture (EA) with the TOGAF framework to provide a suitable blueprint for the development of sales and service function that can present respective ability for the company to have well performance leading to the growth and profit. This research provide the respective artefacts from every design stage including preliminary phase to the migration planning, which is expected to be applied in accordance with the business needs of the company to provide solutions for the existing problems.
The Implementation of User Centered Design Methods on Public Service Mapping Websites
Authors: Sasmito Ginanjar Wiro , Fikri Hidayattullah M.
Published: March 2021

Public services are basically held to increase the level of community satisfaction. To achieve the satisfaction, a city / country will be demanded the quality of professional public services. One of them is the city of Tegal. Tegal is one of the cities in Indonesia. In order to implement a smart city, the city government of Tegal strives to provide services to the public quickly, effectively and efficiently. The public services of Tegal City Government have been running quite well, but information on services has not been integrated between Regional-Owned Enterprises (BUMD) and the private sector. Therefore a website-based mapping media was created in the form of clustering of Tegal city public services, both organized by the government, BUMD and the private sector are integrated each other and can be accessed and used easily by the people of Tegal city. This website can provide the closest route and is equipped with a comparison chart of public service categories in the city of Tegal. This application was built with the User Centered Design method so that it can be adjusted to the needs of the user and speed up the completion time, which only takes 105 days or 15 weeks. The results of this mapping website test were carried out by using Black Box Testing with the equivalence partitions method, which is the effectiveness value for all ID Test results is 83%, and the user test results are carried out by using the Usability Testing method that applied the SUS scale, with a value of 89% or excellent.
Acquiring Commonsense Knowledge during Collaborative Storytelling
Authors: Dy Jilyan , Brito Celina , Tan Vincent , Lola Julius , Ong Ethel
Published: March 2021

Conversational agents that engage children in collaborative storytelling need a collection of domain knowledge to formulate its responses. However, the current manual processes of collecting, annotating and extracting data from a corpus of unstructured text is time-consuming that often impedes the population of a knowledge base. An alternative is to design the agent as a teachable peer that can continuously learn from its human users. In this paper, we describe a storytelling agent that can expand its domain knowledge base by learning new assertions from its story-based conversation with children. We also use conversations as a means of validating the acquired knowledge. Results showed that the agent can achieve a recall value from 83% to 94% in extracting capabilities, property and instance relations while encountering difficulty in identifying assertions that describe the location of story events. Analysis of the conversation logs showed that the performance of the agent is affected by how children describe the characters and events in their stories.
Restaurant Recommendation System Based on User Ratings with Collaborative Filtering
Authors: Munaji Achmad Arif , Emanuel Andi Wahju Rahardjo
Published: March 2021

Recommendation systems are widely used as a reference in marketing products or businesses. The number of choices given sometimes makes a person confused in making choices. The recommendation system provides a solution in overcoming this. Collaborative filtering is a fairly popular algorithm used in recommendation systems that are based on references and information obtained from users. User rating is a variable that is widely used as a reference in establishing a recommendation system. User rating can influence other users in making their choice of the same product. The purpose of this study is to conduct an experiment in the application of a collaborative filtering algorithm and use the Pearson correlation function as a method used to see the level of user similarity in making a restaurant recommendation system. The methods used in this research are: (1) datasets preparation, (2) datasets filtering, (3) collaborative filtering, (4) pearson correlation, (5) recommendations, and (6) evaluation. Collaborative filtering combined with the Pearson correlation produces recommendations that are suitable for users based on characteristics or the same level of interest between users, making it easier for users to make choices. This is also indicated by a small error rate based on the RMSE results.
Identifying User Characteristics of the Top Three E-Wallet Services in Indonesia
Authors: Saputri Anggraeni Dias , Pratama Ahmad R
Published: March 2021

Electronic wallet (e-wallet) services have been the most commonly used electronic payment (e-payment) method in Indonesia within the past few years. By using survey data from 409 e-wallet users collected in the first half of 2020 and analyzed with descriptive statistics and logistic regression models, this study explores the top three e-wallet services in this country (i.e., GoPay, OVO, and DANA) to identify the user characteristics of the top three e-wallet which currently being used in Indonesia and to investigate which user groups, if any, tend to go with one e-wallet service over another. The results show that GoPay has the largest user base but OVO is the one with the most loyal user base while DANA has the most different user base of them all. The findings in this study can complement and enrich the literature on the use of ICT in the financial sector in Indonesia and shed light on the use of e-wallet and e-payment industry in this country. Apart from laying out some ground work for further research, the insight from this study can also be used by each e-wallet service to help make decisions as part of their marketing strategy.
Indonesian Sign Language Recognition using YOLO Method
Authors: Daniels Steve , Suciati Nanik , Fathichah Chastine
Published: March 2021

Sign language is a form of communication commonly used by people with hearing impairment or people with speech impediments. Not all ordinary people understand the language. The translation of sign language into the alphabet/text automatically will facilitate the communication of the deaf with ordinary people. This research aims to develop a sign language recognition system that can process input from video data using You Only Look Once (YOLO) in real-time. YOLO is an object detection method based on Convolutional Neural Network (CNN), which is accurate and fast. Retraining the Yolov3 pre-trained model is performed with adjustments to the number of channels and classes according to the sign language recognition requirement. In this research, we collect datasets independently based on the Indonesian Sign Language (BISINDO). In the experiment using image data, the system achieves 100% precision, recall, accuracy, and F1 score. While using video data, the system’s performance gets precision 77.14%, recall 93.1%, accuracy 72.97%, and F1 score 84.38%, with a speed of 8 fps.
Data Quality Assessment on Lecturer Primary Data: A Case Study on Higher Education Database at Ministry of Education and Culture Republic of Indonesia
Authors: Prasetyo Rizky T. , Ruldeviyani Yova , Purnamasari Editha D. , Wibowo Apriliana F.
Published: March 2021

The quality of an organization’s data is an important component that can influence various policies taken in technical and strategic terms. This study aims to analyze the quality of basic data for lecturers on resource information systems whose data is integrated with the Higher Education Database (PDDikti). Measurement of data quality based on the rules that have been set in the main unit of higher education data management which is then determined in this study includes 4 dimensions of data quality, namely completeness, validity, accuracy, and currency. The application of quantitative methods by processing data and then analyzing the quality of the data using qualitative methods based on the dimensions that have been determined for the basic data quality assessment for lecturer in every tertiary institution in Indonesia. The results showed that the quality of the data had been resolved by 91.94% so that it can be used as a basis for decision making according to predetermined standards. The results of this data quality research can be used as supporting information in policy making in terms of developing and improving data quality in the scope of higher education, especially those related to the quality of basic data for lecturers.
Image Captioning with Attention for Smart Local Tourism using EfficientNet
Authors: Fudholi Dhomas Hatta , Windiatmoko Yurio , Afrianto Nurdi , Susanto Prastyo Eko , Suyuti Magfirah , Hidayatullah Ahmad Fathan , Rahmadi Ridho
Published: March 2021

Smart systems have been massively developed to help humans in various tasks. Deep Learning technologies push even further in creating accurate assistant systems due to the explosion of data lakes. One of the smart system tasks is disseminating ‘users needed information’, which is crucial in the tourism sector to promote local tourism destinations. In this research, we design a local tourism specific image captioning model, which will later support the development of AI-powered systems that assist various users. The model is developed using a visual Attention mechanism and uses the state-of-the-art feature extractor architecture EfficientNet. A local tourism dataset is collected and used in the research and two different captions: captions that describe the image literally and captions that represent human logical responses when seeing the image. The two kinds of captions make the captioning model more humane when implemented in the assistance system. We compared two different models using EfficientNet architectures (BO and B4) with other well-known VGG16 and InceptionV3. The best BLEU scores we get are 73.39 and 24.51 for the training set and the validation set, respectively, using EfficientNetB0. The captioning result using the developed model shows that the model can produce logical caption for local tourism-related images.
Does it make you sad? A lexicon-based sentiment analysis on COVID-19 news tweets
Authors: Suryadi Dedy
Published: March 2021

This research utilizes a lexicon-based sentiment analysis to reveal the emotions conveyed by various news media and analyze the differences among the media. NRC Affect Intensity Lexicon is utilized; it provides the emotions of words in 8 categories of emotions. The lexicon is modified to reflect the context of the news, i.e., COVID-19 pandemic. Tweets are collected from four Indonesia’s news media and three international English-language news media. Each tweet from a news media is assigned a total emotion score for each of the 8 emotions. The scores are averaged for each day to obtain the Daily Emotion. Based on the Daily Emotion, the Dominant Daily Emotion may be identified, i.e., the emotion with the highest average score in a particular date. The Dominant Daily Emotion visualization shows that the dominant emotions in Indonesian-language media are Sadness and Trust, while Fear and Trust are considerably more pronounced in English-language media. Furthermore, among Indonesian-language media, kompascom is significantly more intense than the others in Joy, Sadness, Fear, and Trust. Among English-language media, XHNews is more intense than others in conveying Fear, Sadness, and Trust; while XHNews and timesofindia are both the most intense in Joy. The sentiment analysis in this research concludes that the Emotion Mix of news media are significantly different. Furthermore, news media also convey significantly different levels of emotion intensity in reporting COVID-19 news.
Designing and Developing an Agricultural Product Sales Application Catalog with a Hybrid Application Development Framework
Authors: Wibowo Argo , Delima Rosa , Antonius Rachmat C
Published: March 2021

The use of e-commerce systems continues to increase in Indonesia, but the field facts show that e-commerce in agriculture is still relatively low compared to other fields. The problems faced are limited e-commerce infrastructure, lack of the farmers' knowledge on the benefits of e-commerce, and application design, which is challenging to use. Those problems cause a lack of e-commerce use in this field. Besides, the characteristics of technology users in agriculture also have a considerable influence. In this paper, a mobile-based application is developed to facilitate farmers in promoting agricultural products sales. One of the problems faced in developing mobile applications is the diversity of mobile device platforms. A mobile application can ideally run on multiple platforms. This paper contributes to building an application by using a hybrid method for application development to be used on the Android and IOS platforms. The application built aims to display agricultural products of farmers. The filter feature also makes it easier to find agricultural products in this application. The application is built using the Flutter framework to use one source of the same code on several mobile operating systems at once. There are some slight differences between the output versions of the Android and iOS platforms. Although there are some subtle differences, the similarity rate reaches 90%.
The Physarum Algorithm with Adaptive Power Control: A Routing Optimization to Overcome Obstacle Problems in IoT Network
Authors: Laagu Muh Asnoer , Asvial Muhamad
Published: March 2021

The existence of obstacles on the Internet of Thing (IoT) network area is the biggest challenge in the IoT network infrastructure. The obstacle in the IoT network can be a wall or the absence of a router in a certain area. Routing optimization to facing obstacles problems has been done a lot, however, no routing algorithm that can overcome these obstacles. This paper proposed Physarum Routing based Adaptive Power Control (PR-APC), the routing optimization algorithm to resolve obstacles problems in the IoT network by controlling and maximizing the available power. This paper compares the routing optimization algorithm Physarum inspired Routing Protocol (P-iRP) and Lightweight and Energy-Aware Routing (LEAR). As a result, PR-APC can minimize the number of hops that are passed when sending data packets from the source node to the final destination node. PR-APC takes 3 hops with a delay of 6.4ms, while P-iRP takes 9 hops with a delay of 10.55ms, and LEAR 8 hops with a delay of 9.19ms. PR-APC optimizes the last node before the obstacle to be given strong power and be able to send data packets to the final destination node. P-iRP and LEAR in their routing decisions use parameter energy saving and will take a detour to avoid obstacles.
Formal Verification of the Authentication and Voice Communication Protocol Security on Device X Using Scyther Tool
Authors: Fikri Muhamad Al , Ramli Kalamullah , Sudiana Dodi
Published: March 2021

In the current era, the ownership of strategic information and the ability to effectively manage it has become a significant advantage. Reflecting on the experience of attacks on strategic communications in Indonesia, including the tapping of the former President Susilo Bambang Yudhoyono’s conversation through the cellular network and President Jokowi’s official residence, Indonesia has begun paying more attention to security in this sector. Device X is one of the secret strategic communication tools used in Indonesia. The XYZ Agency initiated the use of this device. As of 2020, there have been 1,284 units of Device X widely used by the army, police officers, and other strategic agencies in Indonesia. In its 5 years of operation, the XYZ Agency has researched the algorithm security used in Device X. However, there has never been a study of thwe security regarding the authentication and communication protocols of this device. This research aims to make a security analysis of voice communication and authentication protocols of Device X. The research was implemented using Scyther Tool as a formal verification approach. The analysis focuses on guaranteeing the confidentiality of information and authentication with four criteria, namely, secrecy, aliveness, synchronization, and agreement. The experimental results demonstrate that the authentication and voice communication protocol of Device X satisfy the secrecy criteria for transmitted confidential information but does not satisfy the criteria of aliveness, synchronization, and agreement on several entities involved in the protocol. Thus, it can be claimed that the authentication and voice communication protocol of Device X is provably secure based on the confidentiality aspect of information but is not secure in terms of authentication.
Blockchain-based Model for Health Information Exchange: A Case for Simulated Patient Referrals Using an Electronic Medical Record
Authors: Perez Alison O. , Domingo-Palaoag Thelma
Published: March 2021

Health information exchange (HIE) has been recognized as an effective mechanism to improve service delivery. The benefits are compounded with the introduction of electronic medical records (EMR). Exchanging information between health facilities remain a challenge due to the absence of an integrated health information system and issues pertaining to data integrity. The emergence of blockchain has provided an innovative solution to data sharing challenges in security, transparency and accessibility. This paper aims to develop a framework for health information exchange between health facilities with the use of EMR and blockchain-based network. The EMR was developed with functionalities such as adding and updating patient profile and health records, referring patient to another facility and monitoring patients referred. These functionalities have been simulated using hypothetical test cases. The simulation has demonstrated blockchain-related functions such as registration of health facility in the network, defining consensus rules and adding patient referral transactions in the network. The description of the proposed framework, role of blockchain and key features of the prototype EMR is summarized in the conclusion part.
Circuit Breaker in Microservices: State of the Art and Future Prospects
Authors: Falahah  , Surendro Kridanto , Sunindyo Wikan Danar
Published: March 2021

Resilience is one of the important issues in the implementation of microservices architecture, and to handle it, various approaches and solutions are available. A circuit breaker is a solution to handle failure in microservices and is now widely implemented both as a library and as a pattern embedded in the service and client modules. Despite the widespread use of circuit breaker, the research on circuit breaker is relatively less than research subject on other microservices area, or in microservices resiliency. This article provides an overview of recent research in circuit breaker, map the research subject, and find the opportunities for future research. The research is conducted using a systematic map study but the results focused on extract the knowledge and find important keywords to build a conceptual overview of the research field circuit breaker. The result shows that there are five categories of research subjects which are concept, strategy, management, implementation, and products. After exploring each category, we can propose the opportunity in enhancing the use of circuit breaker in microservices architecture, by explore the potential implementation of proxy circuit breaker.
Applying PC Algorithm and GES to Three Clinical Data Sets: Heart Disease, Diabetes, and Hepatitis
Authors: Afrianto Nurdi , Azzani Yopi , Sa'adati Yuan , Tou Nurhaeka , Endraswari Putri Mentari , Nur Yohani Setiya Rafika , Annisa Nur , Widyanara Rifai Nur , Rahmadi Ridho
Published: March 2021

The goal of many sciences, including those related to the clinical domain, is to discover the generative model, that is, to understand how variables in the data take on their values. This goal cannot be addressed directly using approaches such as machine learning and deep learning, as such methods focus more on the association between input and output variables. In this paper, we aim to show to the readers an alternative approach, which can be a more appropriate method to target such aforesaid research goal. This approach is called causal modeling. We will first begin with some application examples of machine learning and deep learning on clinical data, and then show our applications of causal modeling to three clinical real-world data sets. This paper is projected to be a concise guideline for researchers to causal modeling, as well as to choose suitable approaches for problems of interest.
Performance of DICOM Data De-identification Process in a Single Board Computer
Authors: Aryanto K Y E , Paramartha A A G Y
Published: March 2021

This work focused on testing the Raspberry Pi device’s performance with the MIRC CTP application, developed by RSNA. The application could de-identify medical image data. The medical images tested in this research were using the DICOM standard. The results have shown that the average data processing time for 100 DICOM files in CT modality was roughly 0.5 seconds per images. Meanwhile, the tests obtained an average of three images per seconds when more extensive data with average size of 132 KB were transferred, using 1000, 5000, and 10000 files, respectively. It was shown that the installation of the RSNA CTP in the Raspberry Pi device is not complicated. Furthermore, the transfer results demonstrated that the device could be used in the medical image data de-identification, specifically in image data sharing
Analysis of various mathematical models of turbulence when calculating the gas dynamics in a classifier with coaxially arranged pipes
Authors: Zinurov V E , Dmitriev A V , Badretdinova G R , Galimova A R , Dmitrieva O S
Published: March 2021

This scientific article deals with the problem of choosing the mathematical model for calculating the gas dynamics in a classifier with coaxially arranged pipes. Various mathematical models were analyzed in ANSYS Fluent software package. Laminar, Spalart-Allmaras, k-ω, RSM and Transition SST were considered as mathematical models. The influence of number of cells in the calculation grid on the pressure loss change in the classifier for various mathematical models was also analyzed. The results of study showed that the pressure loss in the classifier with coaxially arranged pipes is not more than 395 Pa at the inlet gas flow rate of 10 m/s. Among the considered models i.e. laminar, Spalart-Allmaras, k-ω, RSM and Transition SST, the most adequate one is Transition SST model. When changing the number of cells in the calculation grid from 1241551 to 3159388 for this model, the deviation of pressure loss in the classifier was 0.43%. The article includes an equation for the dependence of pressure loss in the classifier on the inlet rate. The distribution of gas flow rate over various sections of rectangular gaps is shown.
Enhancing thermal performance of vertical fin array heat sink using mist assisted evaporative cooling
Authors: Abed A H , Hussein H A , Pakhaluev V M
Published: March 2021

In this paper, natural convection heat transfer of parallel-plate rectangular fins heat sink positioned at a certain angle on the vertical substrate was experimentally investigated. Experiments were done with an aim to examine and evaluate the enhancement of heat transfer by deploying fine water mist into ambient air under a range of input power. To empower this investigation, a special purpose experimental set-up was constructed and developed so as to perform experiments on both air and water mist cooling scheme. The water mist concentration influences on the heat transfer enhancement was examined for (mw=90 – 430 mL/h), while the surface temperature varies from 29 to 110 °C. Experimental results revealed that the heat transfer enhancement increase and reached its maximum value under mw=430 mL/h. The average heat transfer enhancement increases by about 1.28%, 1.81%, 2.37%, and 2.83% when compared against traditional air cooling under (mw=90 – 430 mL/h). In addition, influence of water mist on the fin spacing, fins number, and dissipation area was also examined.
Mathematical model of the axial compressor blade in system assessing technical condition of the industrial gas turbine
Authors: Blinov V L , Zubkov I S
Published: March 2021

The paper presents the key stages of developing a geometric model of the axial compressor blade. The model is based on Bezier curves, which are used to design the parts of airfoil and allow making local changes to the airfoil and blade geometry. This model is designed to assess the technical condition of the axial compressor being a part of an industrial gas turbine or gas-turbine units, depending on the defects of axial compressor blade row (in the gas-flow channel) and the turbine as a whole. As a part of the study the algorithm, which describes the process of the blade formation, were presented. Although the study presents the main equations of the model based on the key geometric parameters of the airfoil, provides examples of airfoil, blade and stage modelling using the presented method, and shows the results of model verification using numerical simulation methods.
Research of operation the parameters in the boiler TGMP-204HL at burning gas
Authors: Taymarov M A , Akhmetova R V , Akhmetov E A , Sabirzyanova A S
Published: March 2021

The efficiency of fuel combustion in power boilers of thermal power plants largely depends on the layout of the burners in the combustion chamber, on their number and unit capacity. An important condition for the efficiency of the selected combustion mode is the absence of a torch surge from the combustion products onto the screen heating surfaces of the furnace. To prevent the formation of large amounts of harmful emissions of nitrogen oxides into the atmosphere, the necessary requirement for burning fuels is to reduce the local values of the flame temperature in the volume of the furnace. The use of powerful burners in power boilers, with a decrease in their number, leads to an increase in the length of the torch and, with their frontal arrangement, gives a torch thrust onto the rear screen. The article presents the results of an experimental trail of the efficiency of gas burning in the direct-flow supercritical boiler TGMP-204HL of the Surgut GRES-2 PJSC UNIPRO when it is operating on 24 burners at various steam loads. The values of the efficiency of boilers, emissions of nitrogen oxides and the distribution of the radiation intensity of combustion products along the height of the furnace are given. Comparison of the obtained results on efficiency and emissions of nitrogen oxides with the data of the TGMP-204HL boiler using 36 burners is carried out.
Transfer of the steam turbine PT-60-130/13 to the adventure Т-27/33-1,28 with the replacement of electric motors of feeding electric pumps with a steam turbine drive
Authors: Balzamov D S , Balzamova E Yu , Bronskaya V V , Kharitonova O S
Published: March 2021

For the production of thermal and electric energy, generating enterprises consume fuel, electricity, water for various purposes, thermal energy, etc. The consumption of electricity which is used mainly on the motor of pumping equipment, in the cost of the released energy resource is a significant share. Nowadays, reducing the consumption of energy for the auxiliary needs of generating enterprises is a crucial task to ensure competitiveness according to specific indicators on the wholesale electric power market. This article provides the analysis and justification of the technical decision to replace the electric motor of pumps with a steam turbine drive. A scheme for connecting a steam turbine drive to the feed pumps PE-500-180 (№1) and PE-500-180 (№2) is proposed, taking into account the characteristics of the thermal diagram of the boiler and turbine section. The work schedules of feed pumps have been analyzed, the required steam consumption has been determined, taking into account the loading of the production steam extraction of operating turbines for 200 t/h. According to the results of the analysis of the performance indicators of the station, it was determined that in the condensation modes during the period with a low supply of the thermal energy, the thermal economy of the station decreases, which leads to an increase in the consumption of fuel equivalent in the amount of 1660806 rubles. At the same time, the increase in the volume of sales of electric energy and capacity on the open electric capacity market after the reconstruction will amount to 75493070,81 rubles. Thus, the proposed technical solution for the reconstruction of the feed pump drive is a rather promising direction with the correct construction of the scheme and the presence of consumers of the heat energy.