bluuebunny/crossref_metadata_2025 huggingface dataset:
A survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current status and major challenges
Authors: Jurado Lasso Fabian Fernando , Marchegiani Letizia , Jurado Jesus Fabian , Mahfouz Adnan Abu , Fafoutis Xenofon
Published: February 2022

Wireless Sensor Networks (WSNs), which are enablers of the Internet of Things (IoT) technology, are typically used en-masse in widely physically distributed applications to monitor the dynamic conditions of the environment. They collect raw sensor data that is processed centralised. With the current traditional techniques of state-of-art WSNs programmed for specific tasks, it is hard to react to any dynamic change in the conditions of the environment beyond the scope of the intended task. To solve this problem, a synergy between Software-Defined Networking (SDN) and WSNs has been proposed. This paper aims to present the current status of Software-Defined Wireless Sensor Network (SDWSN) proposals and introduce the readers to the emerging research topic that combines Machine Learning (ML) and SDWSN concepts, also called ML-SDWSNs. ML-SDWSN grants an intelligent, centralised and resource-aware architecture to achieve improved network performance and solve the challenges currently found in the practical implementation of SDWSNs. This survey provides helpful information and insights to the scientific and industrial communities, and professional organisations interested in SDWSNs, mainly the current state-of-art, ML techniques, and open issues.
Exploring a Bilingual Next Word Predictor for a Federated Learning Mobile Application
Authors: Burgos Natali Alfonso , Kiš Karol , Bakarac Peter , Kvasnica Michal , Licitra Giovanni
Published: February 2022

We explore a bilingual next-word predictor (NWP) under federated optimization for a mobile application. A character-based LSTM is server-trained on English and Dutch texts from a custom parallel corpora. This is used as the target performance. We simulate a federated learning environment to assess the feasibility of distributed training for the same model. The popular Federated Averaging (FedAvg) algorithm is used as the aggregation method. We show that the federated LSTM achieves decent performance, yet it is still sub-optimal. We suggest possible next steps to bridge this performance gap. Furthermore, we explore the effects of language imbalance varying the ratio of English and Dutch training texts (or clients). We show the model upholds performance (of the balanced case) up and until a 80/20 imbalance before decaying rapidly. Lastly, we describe the implementation of local client training, word prediction and client-server communication in a custom virtual keyboard for Android platforms. Additionally, homomorphic encryption is applied to provide with secure aggregation guarding the user from malicious servers.
Therapists' Opinions on Telehealth, Robotics, and Socially Assistive Robot-Augmented Telepresence Systems for Rehabilitation
Authors: Sobrepera Michael , Lee Vera , Johnson Michelle
Published: February 2022

Shortages in therapists, along with the COVID-19 pandemic, have created a gap in care for people with cerebral palsy, stroke, and many other conditions requiring rehabilitation.

Socially assistive robots and telehealth are two tools which could help fill this gap and may be able to work together, in socially assistive robot-augmented telerehabilitation, to create meaningful telerehab encounters.

We present results from a survey completed between Jun 31, 2020, and Dec 31, 2020, asking 379 therapists in the United States for their opinions on features which may be useful for a telerehabilitation platform and for their general feelings towards robots.

We explore their answers and reduce the response space by identifying six factors underlying the answers.

We show that therapists want high quality video, control over robots, and more regulations.

We also find that they are positive about the features which could be used in socially assistive robot-augmented telerehabilitation.
Brain Attention Regularized Networks: Infection Diagnosis in Hydrocephalus CT Images
Authors: Yu Mingzhao , Peterson Mallory , Cherukuri Venkateswararao , Hehnly Christine , Mbabazi-Kabachelor Edith , Mulondo Ronnie , Kaaya Brian Nsubuga , Broach James R. , Schiff Steven J. , Monga Vishal
Published: February 2022

We investigate the problem of infection diagnosis in hydrocephalic images. While traditional deep learning methods can be used for this problem - they require generous training data and produce class activations that are not meaningful. A novel 2D brain attention regularized network (BAR-Net) is proposed in our work, which encourages the network to focus inside the brain region for classification decisions. The newly proposed regularizer yields more interpretable class activations and experimental results confirm that the issue of over-fitting is mitigated. Extending the 2D BAR-Net, a hybrid 2-D/3-D CNN is proposed, that facilitates interactions between the 2D and 3D branches. Furthermore, a mutual attention regularization term is introduced in order to enable branches to exchange knowledge learned from the other by transferring attention maps for regularization.
Industrial Process Diagnosis based on Information-based Features
Authors: Aiordachioaie Dorel
Published: February 2022

Change detection and diagnosis based on information-based features is
considered. As benchmark case study, the faults of bearings are selected.
Information from the working states, including those generated by faults in
bearings, are transformed and carried by the vibration’s signals, which are
further processed by advanced techniques of information and signal processing,
as e.g., statistical models, Renyi and Tsallis entropies, and other complexity
measures.
The Benefits and Challenges of Large Scale MV/LV Distribution Network Modelling: A Case Study
Authors: Mehigan Laura , Zehir Mustafa Alparslan , Cuenca Juan , Sengor Ibrahim , Geaney Ciaran , Hayes Barry
Published: February 2022

Power distribution networks are experiencing
large deployment of behind-the-meter distributed generation and storage along
with electrified transport and heat, requiring fundamental changes in planning
and operation. Synthetic representative networks may not be sufficient to fully
address the needs of researchers, operators and decision-makers. There are
increasing efforts to directly model large-scale real networks and conduct
detailed analysis beyond conventional practices. This paper presents a large-scale
medium voltage (MV)-low voltage (LV) integrated network model building,
scenario determination and analysis approach for distribution networks. Data
with different formats from several databases were used in model building. The
model is validated using benchmark scenarios based on historical network
measurements from the field. In collaboration with the national distribution
system operator in Ireland (ESB Networks), a pilot study was conducted for a
rural network in the Southwest of Ireland, highlighting possible challenges and
offering suitable solutions for country-scale implementation.
Complex Dissipating Energy Flow Method for Forced Oscillation Source Location
Authors: Gill Estevez Pablo , Marchi Pablo , Galarza Cecilia , Elizondo Marcelo
Published: February 2022

This manuscript was submitted to IEEE Power Engineering Letters.

We propose an extension of the Dissipating Energy Flow (DEF) method for locating sources of forced oscillations (FOs), based on an energy function constructed by the complex integral approach, which we call Complex DEF (CDEF). To trace sources of FO, we study the scalar projection of CDEF in a specific direction on the complex plane. We show by simulated cases that this alternative has a good performance in cases where the original DEF fails.
Reconfigurable Intelligent Surfaces for 6G IoT Wireless Positioning: A Contemporary Survey
Authors: Chen Rui , Liu Mengjie , Hui Yilong , Cheng Nan , Li Jiandong
Published: February 2022

The sixth-generation (6G) wireless communication system is expected to integrate communication, intelligence, sensing, positioning, control, and calculation to adapt to time-critical, ultra-reliable, and energy-saving data delivery, as well as accurate positioning of personnel and equipment, serving the Internet of Things (IoT). On one hand, reconfigurable intelligent surface (RIS) can intelligently manipulate radio waves and is considered to be one of the candidate technologies for the 6G wireless communication. Hence, there are more and more surveys on RIS-assisted communications. On the other hand, the potential of RIS in positioning has attracted growing attention, and articles on RIS-assisted positioning have been blown out. Therefore, it is time to review this literature to understand the potential of RIS positioning, research status, and point out the direction for future research. This paper first explains the working principle and channel model of RIS and summarizes some characteristics of RIS suitable for positioning. Then we give a concise review and classification of existing RIS positioning research. Finally, we put forward our views on the future research challenges and attractive directions for RIS-aided wireless positioning technology.
DON’T LOOK BACK: AN ONLINE BEAT TRACKING METHOD USING RNN AND ENHANCED PARTICLE FILTERING
Authors: Heydari Mojtaba , Duan Zhiyao
Published: February 2022

Online beat tracking (OBT) has always been a challenging task. Due to the inaccessibility of future data and the need to make inference in real-time. We propose Don’t Look back! (DLB), a novel approach optimized for efficiency when performing OBT. DLB feeds the activations of a unidirectional RNN into an enhanced Monte-Carlo localization model to infer beat positions. Most preexisting OBT methods either apply some offline approaches to a moving window containing past data to make predictions about future beat positions or must be primed with past data at startup to initialize. Meanwhile, our proposed method only uses activation of the current time frame to infer beat positions. As such, without waiting at the beginning to receive a chunk, it provides an immediate beat tracking response, which is critical for many OBT applications. DLB significantly improves beat tracking accuracy over state-of-the-art OBT methods, yielding a similar performance to offline methods.
Compact Quasi-Elliptic-Type Inline Waveguide Bandpass Filters With Nonlinear Frequency-Variant Coupling Inverters
Authors: Gómez-García Roberto , Lamecki Adam , Mrozowski Michal , Sandhu Muhammad Yameen
Published: February 2022

This work presents the design techniques to synthesize a class of compact inline quasi-elliptic-type waveguide cavity bandpass filters based on novel nonlinear frequency-variant coupling (NFVC) inverters. These highly dispersive frequency variant couplings are realized by means of a pair of partial height posts that are placed at the junctions between each two cavity resonators. Each NFVC produces a transmission pole in between a pair of independently adjustable transmission zeros (TZs). Whereas the pole is added to the overall filtering function to augment its order, the TZs can be placed at each side of the filter passband to attain sharp rejection capability and increase the stopband attenuation levels. To synthesize these filters, two coupling-routing-diagram (CRD) approaches for the NFVC are presented that either consider (i) an arbitrary frequency-variant coupling (AFVC) or (ii) two resonating nodes interacting with a zero-susceptance non-resonating node through constant inverters. An equivalent lumped-element circuit model associated with both CRD approaches is provided. It is demonstrated that both CRD models can be exploited for the theoretical synthesis of this type of filters, whereas the equivalent lumped-element circuit model can provide a deeper insight for the systematic dimensioning of the posts. For experimental validation purposes, three design examples are synthesized, and 10-GHz proof-of concept filter prototypes of two of them are EM-simulated, fabricated, and characterized. The measured results agree well with the simulations and the design theory, thus verifying the concept of inline waveguide cavity filters with TZs using NFVCs.
Metal Oxide Varistor Design Optimization and Main Breaker Branch Switch Control of A Progressively Switched Hybrid DC Circuit Breaker
Authors: Rachi Md Rifat Kaisar , Husain Iqbal
Published: February 2022

In this work, metal oxide varistor (MOV) design optimization and switching control in the main circuit breaker (MCB) branch of a progressively switched hybrid DC circuit breaker (DCCB) is presented. A progressively switched hybrid DCCB can achieve faster fault isolation with reduced peak fault current magnitude and transient recovery voltage compared to a regular hybrid DCCB due to its modified switching strategy. Consequently, thermal stress on the semiconductor devices in MCB is significantly reduced. Analytical model of the system dynamics during fault isolation with progressive switching is derived to demonstrate the switching scheme’s effect on the energy-absorbing component, MOV, during turn-off process. Derived analytical model in conjunction with the displacement curve of the fast mechanical switch of the hybrid DCCB is utilized to optimize the components of the main circuit breaker branch to reduce MOV degradation through asymmetric energy dissipation. A model of the circuit breaker is built in PSCAD to validate the performance of the proposed optimization method in a 10kV/250A system with four stage progressive switching. Additionally, a low voltage system model at 380V is developed in PLECS for two stage progressive switching that works as the basis of experimental validation. This includes both look up table based MOV model and device thermal model for junction temperature estimation. Experimental results are provided for a 380V system to demonstrate reduced fault current peak in a progressive switching and near uniform energy absorption in optimally selected MOVs
Online Inference of Nonlinear Causal Topology from Multivariate Time Series
Authors: Money Rohan , Krishnan Joshin P. , Beferull-Lozano Baltasar
Published: February 2022

An online nonlinear topology identification algorithm termed RFNL-TIRSO is proposed in the paper. The multivariate time series data received in sequential form is processed online to estimate time-varying nonlinear dependencies
A Solution to the Hard Problem of Soft Law
Authors: Potts Keagan
Published: February 2022

Administrative Agencies often rely on guidance documents to carry out their statutory mandate. Over the past few decades, the Food and Drug Administration (FDA) has been criticized for using soft law guidance documents to exercise powers beyond those authorized by Congress. Since attacks on the use of guidance documents persist and agencies need soft law to respond quickly and flexibly to rapid technological growth, it is essential to develop a solution that preserves this crucial regulatory mechanism and prevents its abuse. The most likely alternative to soft law guidance is formal regulation, which must be developed through the notice-and-comment process. The delays introduced by these formal processes, however, leave innovators uncertain about how to comply in the interim, which slows innovation. Alternatively, agencies may turn toward even less formal mechanisms, which are less expensive. However, these informal mechanisms also present problems, namely vagueness, contradictory rulings, and regulatory accumulation. This Note focuses on how courts can curb the abuse of guidance documents and avoid the pitfalls associated with these two alternatives.

This Note identifies the ends of FDA regulation, the various mechanisms the FDA uses to achieve these ends, and the Agency’s and regulated entities’ attitudes toward guidance documents. Courts may either treat notice-and-comment rulemaking as necessary to finality and refuse merits review or classify such documents as final and conduct a merits review. This Note endorses the latter solution because it helps courts preserve agency discretion, principally limits discretion, and incentivizes uniformity and predictability. This solution is limited to documents that are practically binding on the agency.
Structured to Fail: Lessons from the Trump Administration’s Faulty Pandemic Planning and Response
Authors: Camacho Alejandro , Glicksman Robert
Published: February 2022

The Trump Administration’s response to the COVID-19 pandemic is a stark reminder that poorly designed government can be a matter of life and death. This article explains how the Administration’s careless and delayed response to the crisis was made immeasurably worse by its confused and confusing reallocation of authority to perform or supervise tasks essential to reducing the virus’s ravages.

After exploring the rationale for and impact of prior federal reorganizations responding to public health crises, the article shows how a combination of unnecessary and unhelpful overlapping authority and a thoughtless mix of centralized and decentralized authority contributed to the Trump Administration’s slow and ineffective effort to stem the virus’s tide. Furthermore, the Administration’s earlier dismantling of the structure built in the wake of prior outbreaks disabled a mechanism crucial to any federal response to public health threats—its ability to coordinate the efforts of public and private actions to effectively combat the crisis.

The article identifies numerous valuable lessons about government organization from the COVID-19 experience that should guide policymakers’ deliberations in the likely event that they embark upon an effort to address the mistakes plaguing the Trump Administration’s dismal response. More generally, it uses the government’s response to COVID-19 to explore a number of insights about how to better think about and configure government institutions to prepare for and manage complex social problems like a pandemic.
CEDAW and Transformative Judicial Obligations: The Vulnerable Migrant Domestic Worker and Root Causes of Abuse
Authors: L. Cheah
Published: February 2022

The first part of this article sets out CEDAW’s transformative approach to rights and its implications for MDWs and state actors such as courts. It then juxtaposes this approach to the tendency of state officials in destination countries to condemn the abuse of vulnerable MDWs by errant employers without recognizing the impact of official laws and policies on MDWs’ vulnerabilities. The second part of this article examines judicial discussions of MDWs’ vulnerabilities in Hong Kong, Singapore, and Malaysia. Judges in these countries have primarily drawn attention to the isolation of MDWs in their employers’ homes, the dependence of MDWs on their employers for their basic needs, and their lack of financial resources. While such judicial developments are important, the third part of this article argues that these courts need to go beyond discussing specific MDW’s vulnerabilities and their individual criminal cases by identifying and critiquing the root causes of MDWs’ vulnerabilities. It analyzes cases where courts have advanced or overlooked CEDAW’s transformative objectives to argue that criminal law courts can and should advance CEDAW’s goals by naming and contesting the laws, policies, and prejudices enabling MDW rights violations. Such a systemic or transformative approach to adjudication that pinpoints the root causes of MDW abuse can catalyze change at both the legal and policy levels, leading to a more rights-centered approach to MDWs that is consistent with CEDAW requirements.
Update approaches and methods for digital building models – literature review
Authors: Hellmuth René
Published: February 2022

A combination of systematic and bibliometric literature review is applied. For bibliometric analysis a citation network analysis, keyword cluster analysis, burst detection analysis and the total citation score are evaluated. So far, literature mainly deals with creation of digital building models. However, in the operational phase of a building, updating digital building models is essential in order to use the digital building models for applications like maintenance, facility management and conversion planning. In this paper approaches and methods to update digital building data are examined systematically to reflect the current state of scientific knowledge. This will identify and compare update approaches for digital building models. Nine interrelated research areas can be identified that deal with updating digital building information. Based on the body of knowledge on the topic "Updating of digital building models", research gaps and poorly represented research areas are identified. One gap in research is the use of photogrammetry to update individual buildings during their operational phase. In addition to strong research areas such as geoscience, which has produced update approaches over the years, areas like factory planning have been identified which hardly consider approaches to updating as-built data. Only the most important and largest research areas involved have been considered. A more detailed examination would be possible, but would go beyond the scope of this paper. This paper is the first to analyse updating approaches in a detailed, systematic, and bibliographic manner. The holistic view of the topic of updating approaches of digital building models helps to get an overview of existing approaches. Especially because in building operation up-to-date digital plan documents of the building are increasingly needed, this overview is necessary.
ANALISIS TEORI KEDATANGAN DAN PERKEMBANGAN ISLAM DI INDONESIA
Authors: Lubis Masruroh , Irwanto Irwanto , Dalimunthe Rasyid Anwar , Efendi Ruslan
Published: February 2022

The urgency of discussing the arrival and development of Islam, especially for students of Islamic education, is certainly something that should not be missed. The purpose of this discussion is to make it easier for Indonesia to understand the strong sources of its arrival and those influencing its development. This article was conducted through a literature study from literature, books and the internet. Then conduct a study related to the discussion. The result was the entry of Islam into Indonesia where Arab traders brought Islam by sea. Third, while a strong candidate as the first location for the entry of Islam to Indonesia is the coast of Sumatra. The four developments of Islam in Indonesia that became the main actors were the da'i and ustadz, ulama and several Islamic kingdoms. Fifth, along with its development, the life of Sufism and Islamic institutions emerged, including mosques, pesantren, surau and dayah.
PERHITUNGAN HARGA POKOK PRODUKSI DALAM PENENTUAN HARGA JUAL PADA PT. GRAFIKA MARDI YUANA
Authors: Veronica Maria Anastasia , Juniawaty Rudeva , Robbani Hamzah
Published: February 2022

Tujuan dari penelitian ini adalah untuk mengetahui cara perhitungan harga pokok produksi dalam menetapkan harga jual dengan metode full costing pada produk PT. Grafika Mardi Yuana. Metode penelitian ini menggunakan dua metode penelitian yaitu metode kualitatif dan metode kuantitatif atau biasa disebut dengan metode kombinasi yang mana metode ini mengumpulkan dan mengolah data. Teknik Analisis Data dalam penelitian ini menggunakan Analisis Data Model Spradley. Setelah peneliti mengolah data, maka diperoleh harga jual produk buku WHY dan buku Things & Thoughts I Drew When I Was Bored yang dimana terdapat perbedaan perhitungan harga pokok produksi menurut metode perusahaan dengan metode full costing. Menurut hasil penelitian menyimpulkan metode full costing lebih menguntungkan bagi PT. Grafika Mardi Yuana karena akan membebankan semua biaya-biaya yang memengaruhi proses produksi, sehingga menghasilkan harga pokok produksi yang tepat.
Analysis of Factors Affecting Learning Difficulties during the Covid 19 Pandemic
Authors: Robbani Hamzah , Yuliana Nuke
Published: February 2022

The purpose of the study was to determine the factors that influence learning difficulties during the Covid 19 pandemic in junior high and high school age adolescents in the Makassar area of ??East Jakarta. The research method used in this study is a qualitative method by analyzing the data from observations and interviews. The analytical technique used in this research is qualitative data analysis. The object of this research is junior high school and high school youth in Makassar, East Jakarta, with a total of 10 informants including 2 junior high school students and 8 high school students. Based on the research conducted, it is identified the factors that influence learning difficulties in the pandemic era in junior high and high school age adolescents in the Makassar area of ??East Jakarta including the difficulty of understanding material through distance learning, low interest in learning, difficult social adjustment, poor health. not good, lack of learning facilities, limited study space, materials
Analisis Faktor Risiko Kematian dengan Penyakit Komorbid COVID-19 menggunakan Algoritma ECLAT
Authors: Evadini Sukma
Published: February 2022

The death rate due to infection with the COVID-19 virus is increasing. Throughout 2020, COVID-19 cases continued to increase with a total of 2,995,758 positive cases with a total death toll of 204,987 in more than 213 infected countries. The increasing number of deaths is certainly a problem that needs special attention. One of the factors that can affect the severity of COVID-19 infection is a medical condition. These medical conditions are referred to as comorbid or comorbid conditions. This study aims to analyze the risk factors for death of COVID-19 patients based on comorbid diseases using the Data Mining technique. The algorithm used is ECLAT. The results of this study are age and comorbid diseases have an influence on the patient's condition when discharged from the hospital with a support value of 25% and a confidence value of 100%.
Metode Vikor dalam Meningkatkan Kualitas Pembelajaran Terhadap Pemilihan Studi Club
Authors: Junaidi
Published: February 2022

Studi Club metode pembelajaran yang lebih bersifat non formal dan menekankan pada partisipasi anggota/peserta. Dalam studiclub mahasiswa mendapatkan peran yang lebih banyak dibandingkan dengan kuliah dikelas sehingga studi club dapat dijadikan salah satu metode pendamping untuk meningkatkan wawasan mahasiswa. Studi club juga sebagai salah satu alternative metode pembelajaran dirancang untuk meningkatkan kompetensi mahasiswa dengan menekankan partisipasi aktif dari mahasiswa. Dengan mengikuti study clube mahasiswa memiliki kemampuan dalam meningkatkan nilai mahasiswa dibandingkan dengan yang tidak mengikuti study clube, maka ada perbedaan antara mahasiswa yang mengikuti studi club dan yang tidak mengikuti studi club.kompetensi mahasiswa sangat diperlukan apalagi pada era pesaingan global. Untuk menemukan bakat mahasiswa dalam menentukan pemilihan studi club sebagai suatu alternative metode tingkat belajar dalam rangka meningkatkan kompetensi mahasiswa dan meningkatkan mutu belajar dengan lulusan terbaik. Berdasarkan analisis terhadap peningkatan mutu belajar pada mahasiswa terhadap pemilihan studi club dengan beberapa kriteria yang dapat diambil dari diri mahasiswa dengan penilaian terdiri dari Nilai matakuliah pendukung, nilai absensi matakuliah pendukung, nilai tes praktek dan minat. Dari berbagai kriteria yang dimiliki mahasiswa, dari ini dapat memberikan penentuan dalam pemilihan studi club sesuai dengan hasil dari nilai kriteria yang dimiliki oleh mahasiswa.
Identifikasi Objek pada Citra Thorax X-Ray Pasien COVID-19 dengan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE)
Authors: Dodi Andre Putra  , Na`  am Jufriadif , Yuhandri
Published: February 2022

Radiografi thorax X-Ray menghasilkan citra digital radiografi diarea dada seperti paru-paru, jantung, dan tulang rusuk. Citra ini dapat memvisualisasikan kondisi paru-paru pasien COVID-19. Pemeriksaan kondisi paru-paru pasien COVID-19 dengan X-Ray lebih mudah, murah dan banyak tersedia di rumah sakit dibandingkan teknik radiografi yang lainnya. Namun, hasil citra digital radiografi X-Ray memiliki kualitas yang kurang bagus sehingga perlu ditingkatkan. Kontras citra yang rendah menjadi faktor kesulitan identifikasi citra thorax pasien COVID-19. Meningkatkan kontras citra thorax pasien COVID-19 yang rendah dengan Contrast Limited Adaptive Histogram Equalization (CLAHE) sehingga mudah diamati secara konkret dan lebih jelas. Citra yang diolah dalam penelitian ini sebanyak 100 citra thorax pasien COVID-19 yang bersumber dari komputer bagian radiologi RS Bhayangkara Padang Indonesia. Selanjutnya citra diolah menggunakan pengolahan citra digital menggunakan software Matlab. Tahapan pengolahannya citra thorax dikonversi ke bentuk grayscale. Citra hasil dari grayscale dilanjutkan dengan pengolahan kontras dengan menggunakan metode CLAHE bertipe distribusi Uniform, Rayleigh dan Exponential. Dilanjutkan penghitungan nilai Peak Signal to Noise Ratio (PNSR) dan Mean Square Error (MSE) hasil citra dari pengolahan metode masing-masing tipe CLAHE. Hasil dari pengujian semua citra dapat ditingkatkan kualitas kontrasnya secara visual. Hasil rata-rata MSE CLAHE Uniform, Rayleigh dan Exponential secara berturut-turut sebesar 27.68, 25.86 dan 26.33. Nilai rata-rata PNSR CLAHE Uniform, Rayleigh dan Exponential > 30 dB yaitu sebesar 112.32 dB, 171.95 dB dan 151.90 dB yang berarti citra CLAHE mirip dengan citra aslinya. CLAHE Rayleigh memberikan hasil terbaik secara kualitas dan kuantitas dengan jumlah 85 citra atau nilai akurasi 85%, sedangkan CLAHE Exponential dan CLAHE Uniform sebesar 15% dan 0%.
Perbandingan Akurasi Metode TOPSIS dan Metode Weight Product untuk Menentukan Siswa Berprestasi
Authors: Fatahillah Abdul , Pratama Mudafiq Riyan
Published: February 2022

In determining outstanding students (a case study at MTs. Al-Ishlah Jenggawah Jember) there are several criteria to be assessed. The criteria contained in student achievement in MTs. Al-Ishlah includes the average report card, behavior, discipline, neatness and attendance. For the sake of subjective assessment, an appropriate method is needed, namely the Technique for Others Reference by Similarity to Ideal Solution (TOPSIS) and Weight Product (WP). The purpose of this study is to compare the accuracy of TOPSIS and WP, ​​where each assessment in this case is that all students are compared with one another, thus providing an output of priority values ​​that produce a rating value for each student. After comparison and analysis, the accuracy of both methods was obtained, namely the TOPSIS method was 84% ​​while the WP method obtained an accuracy value of 87.5%. This means that in the case study, the determination of outstanding students is carried out at MTs. Al-Ishlah Jenggawah Jember showed that the WP method was better than the TOPSIS method.
Reverse-Engineering the Design Rules for Cloud-Based Big Data Platforms
Authors: Sharma Ravi S. , Mannava Purna N. , Wingreen Stephen C.
Published: February 2022

Big Data's 5 V complexities are making it increasingly difficult to develop an understanding of the end to end process. Big Data platforms play a crucial role in many critical systems, combining with Internet-of-Things, Artificial Intelligence and Business Analytics. It is both relevant and important to understand Big Data systems to identify the best tools that fit the requirements of heterogeneous platforms. The objective of this paper is to "discover" a set of design principles and rules for Cloud-based Big Data platforms for complex, heterogeneous environments. The design scope comprises Big Data's significance, challenges and architectural impacts. Using a methodology Reverse Engineered Design Science Research (REDSR), artifacts from leading vendors are used to elicit the design principles and rules with relevant details of Big Data components. We conclude that the findings are relevant and useful for DevOps architects and practitioners in operating complex, heterogeneous Cloud-based Big Data platforms.
Conceptualizing Self-learning to Deliver Successful Events in Built Heritage Settings
Authors: Robinson Peter , Burns Leueen
Published: February 2022

In the UK, museums (29%), gardens (38%), and historic buildings (27%) are the most visited attractions, yet admissions revenue is often insufficient for operational costs and long-term repair and investment costs. With the UK events sector worth £42.3 billion annually historic
buildings are in a unique position to use events to generate income and raise awareness. However, the management of events within the heritage setting is complex, contextually informed, and contested by stakeholders while operators manage the competing issues of conservation, access, and revenue
generation. Through 10 detailed semistructured interviews this study explores the way in which knowledge is gathered and embedded to professionalize event management practices within the heritage tourism sector. Building on the work of Garvin and Brine and Feather, a model is evolved to explain
how knowledge is gained, embedded, and shared across the heritage sector.
Mathematical Modeling of Three - Dimensional Genetic Regulatory Networks Using Logistic and Gompertz Functions
Authors: Samuilik Inna , Sadyrbaev Felix , Ogorelova Diana
Published: February 2022

Mathematical modeling is a method of cognition of the surrounding world in which the description of the object is carried out in the language of mathematics, and the study of the model is performed using certain mathematical methods. Mathematical models based on ordinary differential equations (ODE) are used in the study of networks of different kinds, including the study of genetic regulatory networks (GRN). The use of ODE makes it possible to predict the evolution of GRN in time. Nonlinearity in these models is included in the form of a sigmoidal function. There are many of them, and in the literature, there are models that use different sigmoidal functions. The article discusses the models that use the logistic function and Gompertz function. The comparison of the results, related to three-dimensional networks, has been made. The text is accompanied by examples and illustrations.
Assessment of the EU Countries’ Economic Security based on the Composite Indicators
Authors: Khadzhynova Olena , Simanavičienė Žaneta , Mints Oleksiy , Burak Pavlo , Khachatrian Valentyna
Published: February 2022

The authors propose an integral indicator of the economic security of a country, based on a study of economic, social, political and environmental indicators of security of 28 European Union countries. The study used panel regression methods, correlation analysis, nonlinear approximation, graphical methods. The research results make it possible to explain up to 58% of the variations in the studied indicators. The calculated values of the integral indicator of economic security correspond to empirical data. The indicator proposed by authors comprehensively characterizes the current state of the country’s economic security in the economic, social, political and environmental spheres. This indicator makes it possible to determine the level and disproportions of the country’s development and can become the basis for the formation of directions for ensuring its economic security.
THE BACHELOR PROGRAMME IN CIRCULAR ECONOMY: EXPERIENCE OF THE REPUBLIC OF POLAND
Authors: Sysoiev Oleksii
Published: February 2022

The paper is focused on the analysis of the studying program in the circular economy for bachelors at the Silesian Polytechnic of the Republic of Poland. The training first introduced in Poland in 2018, is practice-oriented and aimed at systematic training of bachelors to implement the tasks of the circular economy. The research material is the studying programme for bachelors in the circular economy at the Silesian Polytechnic. The paper presents the analysis of the structure, the studying hours, subjects, activities, and project-based method. The paper shows that bachelor’s training is practice-based using modern learning technologies, in particular the implementation of both educational projects and projects in a specific production. It is concluded that the study and analysis of studying programme in the circular economy at the bachelor level in the Republic of Poland allow us to implement Polish experience in designing training courses in higher education to provide green economy ideas in Ukraine.
Educational Quality Development for The Achievement to "Digital Island"
Authors: Tika Setia , Puspitasari Puspitasari
Published: February 2022

This paper aims to understand the Educational Quality Development for the achievement of "Digital Island" a corporate social responsibility (CSR) implementation in Harapan Island, Indonesia. To build a digital Island need quality human resources, technology, expert english language, good infrastructure, good cooperation with the factory ,some foreign industry and good social culture. This study explains why must choose youths Harapan Island because in this island regularly every year held CSR from China National Offshore Oil Corporation (CNOOC SES Ltd). Based on the findings of the research, the following conclusions were made. In general, students of MAN 1 Harapan Island,Thousand Island are quite enthusiastic in participating in Future Orientation training activities. The implementation of tutoring takes place conducively. The results of the diagram percentage of the achievement of the competency of the try out results are 2 students with the highest score = 87 out of a total of 2 students who achieved a very good value range. Furthermore, 9% obtained a good range of values, 53% gained enough ranges, while the remaining 34% obtained a range of less values. With such results, all students are expected to be able to improve their motivation and learning efficiently and optimally referring to the results of a try out that is not satisfactory, the students must work harder in motivating themselves and further improve their fighting power and learning spirit.
Reduzierung von Schadstoffemissionen durch längere Brennerlaufzeiten
Authors: Floß Alexander , Sulger Claudio
Published: February 2022

Im Taktbetrieb gefahrene Heizkessel verursachen während der Start- und Stopp-Phasen im Vergleich zu einem stationären Betrieb deutlich mehr Emissionen. Dieser zweiteilige Beitrag beschäftigt sich mit der Reduzierung der Schadstoffemissionen (unverbrannte Kohlenwasserstoffen und Kohlenmonoxid) durch eine Reduktion der Takthäufigkeit beziehungsweise eine Verlängerung der Brennerlaufzeit.
Wärmespeicherauslegung und Außenlufttemperatur
Authors: Goeke Johannes , Fonfara Harald
Published: February 2022

Die Dimensionierung von thermischen Speichern in der Gebäudetechnik bezieht sich häufig auf die Trinkwassererwärmung gemäß DIN 4708. Dabei werden in der Regel die Bedarfe der Nutzer zur Auslegung herangezogen. Bekannt ist das Summenlinienverfahren und der daraus resultierende Beitrag des Wärmeerzeugers. Bei Pufferspeichern wird dagegen unterschieden, in welcher Kombination von Speicher und Wärmeerzeuger dieser eingesetzt werden soll und es kommt häufig zu Größenschätzungen und Auslegungen mit Richtwerten. Daneben bieten zahlreiche Hersteller Auslegungsprogramme, die immer auf den Spitzenbedarf des Gebäudes ausgelegt sind. In diesem Beitrag wird eine Methode vorgestellt, die den thermischen Speicher als zweiten Wärmeversorger im Gebäude betrachtet, der zusammen mit diesem die Versorgung übernimmt. Damit wird die Speicherauslegung mit der Wärmeerzeugerleistung verknüpft. Ausgleichend über eine bestimmte Zeitperiode (24 h) mit Phasen hohen und niedrigen Bedarfs übernehmen der Wärmeerzeuger und der Speicher gemeinsam die Versorgung. Da die Wärmeversorgung eines Gebäudes in erster Linie von der Außenlufttemperatur abhängt, wird hier ein Verfahren auf dieser Basis vorgestellt, welches eine einfache Berechnung des Wärmeinhalts eines Speichers ermöglicht.
Bewertung der Wärmerückgewinnung mit raumlufttechnischen Geräten in Schulen und vergleichbaren Räumen versus Fensterlüftung
Authors: Kaup Christoph
Published: February 2022

Dieser Beitrag untersucht unter ökonomischen und ökologischen Gesichtspunkten den Nutzen der Wärmerückgewinnung (WRG) in raumlufttechnischen Anlagen (RLT) beim Einsatz in Schulen und entsprechenden Räumen im Vergleich zur Fensterlüftung. Ermittelt werden die ökonomischen und ökologischen Auswirkungen der WRG auf Basis der Rahmenbedingungen wie spezifische Energiepreise, CO2-Emissionen, Klimadaten und Soll-Temperaturen sowie Laufzeiten. Das Ergebnis ist eindeutig.
Plattformbasierte Services für alle Marktrollen
Authors: Großjohann Gerhard
Published: February 2022

Der heutige Energiemarkt ist ein Rollenspiel mit variablen Facetten. Die Marktakteure müssen sich selbst und im Austausch miteinander auf veränderliche Spielregeln sowie neue Marktrollen und Aufgaben einstellen. Erfolg im Energiemarkt hängt mehr denn je von flexibler IT-Unterstützung ab. Die Arvato Energy Platform ist in dieser Situation eine passende Lösung für die Energiebranche.
Andere Länder, gleiche Herausforderungen
Authors: Köppl Simon , Rodler Simon , Springmann Elisabeth
Published: February 2022

Um die in den nächsten Jahren signifikant hinzukommende Anzahl an E-Fahrzeugen in das Stromnetz zu integrieren, gibt es europaweit verschiedene Ansätze das netzdienliche Ladeverhalten anzureizen. Deutschland sowie einige weitere Länder nutzen diese Möglichkeit bisher für bestimmte Kundengruppen kaum. Für die Diskussion möglicher Anreizkonzepte lohnt der Blick nach Europa, denn in den Nachbarländern sind verschiedene Vorgehensweisen verbreitet.
Leuchttürme für den Klimaschutz
Authors: Gründig Dietmar , Schroeder Barbara
Published: February 2022

Seit 2007 zeichnet die Deutsche Energie-Agentur innovative Unternehmen mit dem Energy Efficiency Award aus. Im vergangenen Jahr wurden sechs Projekte in vier Kategorien prämiert. Zwei Projekte zeigen die Energieeffizienz- und Klimaschutzpotenziale bei der Nutzung industrieller Abwärme. Bei zwei weiteren Siegerprojekten stand der Einsatz innovativer Wärmepumpensysteme im Mittelpunkt.
State aid and IFRS accounting policy
Authors: OSIPCHUK Daryna
Published: February 2022

Introduction. This paper establishes that accounting policy is an important step in the organization of accounting. The paper shows that an effective accounting policy allows forming reliable and high-quality indicators in the financial statements. This study examines the main ideas by scholars on problems of IFRS accounting policy. Also, the paper gives a critical assessment their main positions. The purpose of the paper is to analyze the system of accounting standards for formation state aid accounting policy. Results. The study shows that the state aid transactions accounting policy is a complex system of interrelated standards. Firstly, the article examines the impact of international accounting standards on the formation of accounting policies in general. Secondly, research shows that other standards also have a partial impact. Also, disclosing of significant accounting policies allows bettering understanding the methodological basis of financial reporting. Moreover, business entities adhere to the principle of conciseness in the formation of accounting policies. Finally, the article highlights the main elements of the State aid transactions accounting policy in accordance with IAS 20: recognition of state aid; methods of accounting for state grants; types and forms of state aid; recognition of contingent assets and contingent liabilities at the recognition of state aid; methods of presenting information on government grants related to assets and government grants related to income; disclosure of information in the notes to the financial statements. Conclusion. Accounting policy is based on standards and judgments of management, which are proved by significant facts. Therefore, IFRS accounting policies should be viewed as a philosophy of choosing alternatives and accounting methods for business.
The Unanticipated Phenomenology of the Blazar PKS 2131–021: A Unique Supermassive Black Hole Binary Candidate
Authors: O’Neill S. , Kiehlmann S. , Readhead A. C. S. , Aller M. F. , Blandford R. D. , Liodakis I. , Lister M. L. , Mróz P. , O’Dea C. P. , Pearson T. J. , Ravi V. , Vallisneri M. , Cleary K. A. , Graham M. J. , Grainge K. J. B. , Hodges M. W. , Hovatta T. , Lähteenmäki A. , Lamb J. W. , Lazio T. J. W. , Max-Moerbeck W. , Pavlidou V. , Prince T. A. , Reeves R. A. , Tornikoski M. , Vergara de la Parra P. , Zensus J. A.
Published: February 2022

Most large galaxies host supermassive black holes in their nuclei and are subject to mergers, which can produce a supermassive black hole binary (SMBHB), and hence periodic signatures due to orbital motion. We report unique periodic radio flux density variations in the blazar PKS 2131−021, which strongly suggest an SMBHB with an orbital separation of ∼0.001–0.01 pc. Our 45.1 yr radio light curve shows two epochs of strong sinusoidal variation with the same period and phase to within ≲2% and ∼10%, respectively, straddling a 20 yr period when this variation was absent. Our simulated light curves accurately reproduce the “red noise” of this object, and Lomb–Scargle, weighted wavelet Z-transform and least-squares sine-wave analyses demonstrate conclusively, at the 4.6σ significance level, that the periodicity in this object is not due to random fluctuations in flux density. The observed period translates to 2.082 ± 0.003 yr in the rest frame at the z = 1.285 redshift of PKS 2131−021. The periodic variation in PKS 2131−021 is remarkably sinusoidal. We present a model in which orbital motion, combined with the strong Doppler boosting of the approaching relativistic jet, produces a sine-wave modulation in the flux density that easily fits the observations. Given the rapidly developing field of gravitational-wave experiments with pulsar timing arrays, closer counterparts to PKS 2131−021 and searches using the techniques we have developed are strongly motivated. These results constitute a compelling demonstration that the phenomenology, not the theory, must provide the lead in this field.
Assessment of Post-operative Pain after using EdgeFile X7 and Protaper Next Rotary Systems in Patients with Symptomatic Pulpitis in Mandibular Molars: A Randomized Controlled Clinical Trial
Authors: Abdelwahed Adel , Roshdy Nehal Nabil
Published: February 2022

AIM: The aim of the study was to evaluate the incidence of post-operative pain and analgesics intake after single-visit endodontic treatment using Edge File X7 and ProTaper Next (PTN) rotary files in mandibular molars having symptomatic pulpitis.

METHODS: The study included 60 patients complaining of symptomatic pulpitis in mandibular molar teeth. After confirming the diagnosis clinically and radiographically, patients were assigned into two equal groups; Group (I): Instrumentation was done with Edge File X7 (EF) rotary files and Group (II): Instrumentation was done with PTN rotary files. The patients underwent standardized single visit endodontic treatment procedures using 2.5% sodium hypochlorite for irrigation. Modified visual analogue scale was used to access pain preoperatively, and then postoperatively after 6, 12, 24, 48, and 72 h. An analgesic (ibuprofen 400 mg) was prescribed to the patient who suffered from persistent pain. The incidence and/or number of analgesic tablets intake were recorded. Data of pain score were compared using Mann–Whitney U test for intergroup comparisons and Freidman’s test followed by Dunn’s post hoc test for intragroup comparisons.

RESULTS: No statistically significant difference was detected between EF and PTN groups regarding the incidence and intensity of pain at different time intervals (p > 0.05). There was a significant reduction in the mean VAS score through the follow-up periods in both groups (p < 0.001). The incidence of analgesic intake was not significant in both groups.

CONCLUSION: The incidence of post-operative pain and the analgesic intake in terms of frequency and quantity were found to be similar with both rotary systems for all the post-operative time points.