bluuebunny/crossref_metadata_2025 huggingface dataset:
Raman suppression in a high-power single-mode fiber oscillator using a chirped and tilted fiber Bragg grating
Authors: Zhao Xiaofan , Tian Xin , Hu Qihao , Rao Binyu , Wang Meng , Wang Zefeng
Published: February 2021

We propose the design of a high-power fiber oscillator with chirped and tilted fiber Bragg gratings (CTFBGs) to suppress the stimulated Raman scattering within the fiber cavity and in the delivery fibers. A high-power single-mode fiber oscillator system was constructed for demonstration. With a CTFBG inserted into the fiber cavity, obvious Raman suppression was observed and the output signal laser power increased by ∼7%. With a CTFBG inserted between the oscillator and the delivery fibers, a maximum Raman suppression ratio of >20 dB was achieved, which implies a longer delivery distance for the same laser power level. By further improving the performance of CTFBGs, including lower inversion loss at signal wavelength, wider rejection bandwidth and deeper rejection depth, meanwhile optimizing the positions of CTFBGs, better Raman suppression could be obtained, which is significant for the further power scaling and delivery distance increasing of high-power fiber oscillators.
Soft, wireless and subdermally implantable recording and neuromodulation tools
Authors: Cai Le , Gutruf Philipp
Published: February 2021

Progress in understanding neuronal interaction and circuit behavior of the central and peripheral nervous system (PNS) strongly relies on the advancement of tools that record and stimulate with high fidelity and specificity. Currently, devices used in exploratory research predominantly utilize cables or tethers to provide pathways for power supply, data communication, stimulus delivery and recording, which constrains the scope and use of such devices. In particular, the tethered connection, mechanical mismatch to surrounding soft tissues and bones frustrate the interface leading to irritation and limitation of motion of the subject, which in the case of fundamental and preclinical studies, impacts naturalistic behaviors of animals and precludes the use in experiments involving social interaction and ethologically relevant three-dimensional environments, limiting the use of current tools to mostly rodents and exclude species such as birds and fish. This review explores the current state-of-the-art in wireless, subdermally implantable tools that quantitively expand capabilities in analysis and perturbation of the central and PNS by removing tethers and externalized features of implantable neuromodulation and recording tools. Specifically, the review explores power harvesting strategies, wireless communication schemes, and soft materials and mechanics that enable the creation of such devices and discuss their capabilities in the context of freely-behaving subjects. Highlights of this class of devices includes wireless battery-free and fully implantable operation with capabilities in cell specific recording, multimodal neural stimulation and electrical, optogenetic and pharmacological neuromodulation capabilities. We conclude with a discussion on translation of such technologies, which promises routes towards broad dissemination.
Earthquake sensitivity to tides and seasons: theoretical studies
Authors: Pétrélis François , Chanard Kristel , Schubnel Alexandre , Hatano Takahiro
Published: February 2021

We investigate theoretically the effects of periodic-in-time modulations on the properties of earthquakes. To wit, we consider successively the one dimensional Burridge–Knopoff (BK) model and the two dimensional Olami–Feder–Christensen (OFC) model. Each model is modified to take into account either a modulation of normal stress or of shear stress acting on a fault. Despite the differences between the BK and the OFC model, several results are observed in both models. In particular, we observe that earthquake occurrences correlate with stress modulation. The correlation is strongly dependent on parameters such as the type of modulation, its frequency and amplitude, and in some cases on the magnitude of the considered earthquakes.
Performance Analysis Of Two Heterogeneous Server Queuing Model with Intermittently Obtainable Server Using Matrix Geometric Method
Authors: Seenivasan M. , Indumathi M.
Published: February 2021

We consider two heterogeneous server, unit arrived according to Poisson distribution with rate λ the customers must enter into the service facility first, and if it is not possible they join the queueing facility to form the queue in the order of their arrival. The two servers have heterogeneous service rate μ1 for server 1 and μ2 for server 2 (μ1 ≠ μ2). Server 1 is always obtainable and server 2 is intermittently obtainable. Server 2 goes to service in some important dissimilar/strange jobs when the number of the customer is greater than or equal to zero. But prior going to execute these strange jobs, the server 2 must first entire his in hand service. Otherwise server 2 is either working state or idle. By introducing the bivariate process {M(t), S(t); t ⩾ 0} the stationary analysis has been carried out using Matrix Geometric Method. Some numerical results are also presented.
Separation Axioms in Nnc
Topological Spaces via Nnc e-open Sets
Authors: Sudha V. , Vadivel A. , Tamilselvan S.
Published: February 2021

The main idea of this research is to define a new neutrosophic crisp points in neutrosophic crisp topological space namely (NncPN
), the concept of Nnc
limit point was defined using (NncPN
), with some of its properties, the separation axioms (Nnceτi
-space (i = 0,1, 2) were constructed in neutrosophic crisp topological space using (NncPN
) and examine the relationship between them in details.
Neutrosophic Implicative N-ideals in KU-algebras
Authors: Vasu M. , Kumar D. Ramesh
Published: February 2021

In the present paper, we introduce the concept of Nni
-ideal in KU-algebras, and investigate several properties. Also, we provide characterizations of the Nni
-ideal. Furthermore, we discuss relations between Nnpi
-ideal, Nnc
-ideal and Nni
-ideal. Finally, we characterize implicative KU-algebra by using Nni
-ideal.
Special class of G-Wolfe type fractional symmetric duality theorems under G-pseodoinvexity assumptions
Authors: Dubey Ramu , Kumar Arvind , Gupta Pooja , Jayswal Shubham , Narayan Mishra Vishnu
Published: February 2021

In this article, a pair of G-Wolfe-type fractional programming problems is formulated. For a differentiable function, we consider the definitions of G-invexity/G-psedoinvexity, which extends some kinds of generalized convexity assumptions. In the next section, we prove the weak, strong and converse duality theorems under G-invexity/G-psedoinvexity assumptions.
Angiotensin-Converting Enzyme 2 (ACE2) of marine biota: a preliminary study of potential therapy for SARS-CoV-2 infection
Authors: Ambarwati R , Rahayu D A , Khaleyla F , Wisanti  , Putri E K
Published: February 2021

A new coronavirus, SARS-CoV-2, is responsible for the current pandemic causing severe respiratory disease. It has been known that the receptor for SARS-CoV-2 entry into the host cell is the angiotensin-converting enzyme 2 (ACE2). This receptor is expressed in a wide array of organs, for example, the kidneys and gastrointestinal tract, but rarely present in the circulation. The soluble form of ACE2 proposed as a potential therapy for SARS-CoV-2 infection. This research aimed to explore angiotensin-converting enzyme 2 (ACE2) from marine biota as the source of ACE2, which is potential for the therapy of SARS-CoV-2 infection. This explorative study was conducted by retrieving the angiotensin-converting enzyme 2 (ACE2) from the database of protein (UniProt). The samples of the study were ACE2 of marine vertebrate, namely Delphinapterus leucas and ACE2 of marine invertebrate, namely Protunus trituberculatus. 3-D structures of ACE2 proteins unavailable in the protein database were modeled in Swiss Model. Molecular docking was conducted by using ClusPro.2.2. The data were analyzed descriptively. The molecular docking results revealed that the binding energy of spike glycoprotein of SARS-CoV-2 and human ACE2 was -988.5 kcal/mol. The binding energy of spike glycoprotein of SARS-CoV-2 and Delphinapterus leucas (Beluga whale) ACE2 was -946.4 kcal/mol. Meanwhile, the binding energy of spike glycoprotein of SARS-CoV-2 and Protunus trituberculatus (swimming crabs) ACE2 was -778.4 kcal/mol. The binding energy of spike glycoprotein of SARS-CoV-2 and Delphinapterus leucas (Beluga whale) ACE2 was closed to the binding energy of spike glycoprotein of SARS-CoV-2 and human ACE2. Hence, ACE2 of Delphinapterus leucas has the potential to be used as a therapeutic candidate from marine biota to suppress the SARS-CoV-2 transmission.
Profile of Students’ Physics Problem-Solving Skills and the Implementation of Inquiry (Free, Guided, and Structured) Learning in Senior High School
Authors: Prahani B K , Susiawati E , Deta U A , Lestari N A , Yantidewi M , Jauhariyah M N R , Mahdiannur M A , Candrawati E , Misbah  , Mahtari S , Suyidno  , Siswanto J
Published: February 2021

Learning in schools has a significant role in improving 21st-century skills, including problem-solving skills. The objective of this research to determine the profile of students’ physics problem-solving skills and the implementation of inquiry (free, guided, and structured) learning in senior high school. The study was conducted on 84 students of state senior high school. This type of research was conducted using Descriptive Research Design (DRD). Data collection methods using tests, questionnaire, and interviews. The instrument of research used are (1) instrument tests of physics problem-solving skills, (2) response questionnaire sheets, (3) student and teacher interview sheets. The data obtained were analysed qualitatively descriptive. The results of this study show that only a few students can work on the material using problem-solving strategies of ACCES: (1) Assessing the problem, (2) Create a drawing, (3) Conceptualize the strategy, (4) Execute the solution, and (5) Scrutinize the result, in solving dynamic electricity problems. Implementation of inquiry (free, guided, and structured) learning provided is not ideal so that it causes students to be less active so that problem-solving skills are lacking and no laboratory supports the learning process. Students are not introduced to the existence of a virtual laboratory (i.e. PhET) as a laboratory replacement. So, to improve students’ physics problem-solving skills required proper inquiry (free, guided, and structured) learning assisted by PhET.
ESD for physics: how to infuse education for sustainable development (ESD) to the physics curricula?
Authors: Jauhariyah M N R , Prahani B K , Syahidi K , Deta U A , Lestari N A , Hariyono E
Published: February 2021

The application of ESD in learning believed to be able to plan a better life by changing the mindset of students in learning to live better. This study describes how to infuse ESD to the physics curricula, so hopefully, students can think to live better through learning physics. Descriptive qualitative method used in this study to describe how to do the study of school curriculum course in prospective undergraduate in physics education so that they can insert ESD in the curriculum studies that have been conducted by researchers. Through creative problem solving and the application of creativity fostering behaviour assessment, students can produce ESD-based physics curriculum studies. There are ten topics in the physics curriculum that have included ESD.
A Comparative Overview of Accident Forecasting Approaches for Aviation Safety
Authors: Monika  , Verma Seema , Kumar Pardeep
Published: February 2021

The demand of air transportation is expected to be doubled over the next two decades as per the recommendations of the International Air Transport Association. This would prompt more aviation safety issues with increased air traffic congestion and load on the air transportation system. To estimate the level of risk and improve the forecasting ability, various methodologies have been proposed by the research community. As each methodology has its pros and cons, this manuscript provides a comparative study of various Data mining, Time series, Artificial Neural Networks, and ensemble Techniques on the aviation safety and forecasting complication. This paper concludes that different methods dealing with different information may be combined to have an outstanding prospective in aviation accident forecasting and to come up with a number of ways of enhancement and their assistance in decision making.
A Hybrid Framework for Effective Prediction of Online Streaming Data
Authors: Kanagaraj K , Geetha S
Published: February 2021

In this paper, we present a hybrid model to perform the training and testing of prediction model with online streaming data. Prediction of online streaming data is a time critical task. Huge volume of data that is being generated online need to be ingested to a prediction model and to be used to train and test the prediction model dynamically which improves the learning rate. The existing approaches for dynamic training and testing use the local infrastructure or virtual machines from the cloud infrastructure to increase the learning rate of the prediction model with streaming data. Recently many applications prefer serverless cloud infrastructure than virtual machines. However, using the serverless infrastructure for the entire prediction process will have time and space tradeoffs due to its autonomic feature. Hence in this paper we propose a hybrid approach that uses the three different environments such as the local infrastructure, virtual machine and serverless cloud for different stages. A novel approach to select the suitable environment to train and test the LSTM based air quality prediction model with stream data is proposed with increased learning rate and reduced resource utilization.
Diagnosis of Long Sightedness Using Neural Network and Decision Tree Algorithms
Authors: Ogundokun Roseline Oluwaseun , Sadiku Peter O. , Misra Sanjay , Ogundokun Opeyemi Eyitayo , Awotunde Joseph Bamidele , Jaglan Vivek
Published: February 2021

Long-sightedness occurs provided the eyes don’t concentrate properly on the retina that is the delicate illuminated portion at the back of the eyes. It influences the capability to recognise nearby items. Numerous researches have been conducted on eye disease, but the outcome hasn’t been 100% accurate. What motivated the development of this system was that most people are not aware of the warning signs of the disease as a result of negligence, ignorant, and time constraint involved in awaiting an ophthalmologist for diagnosis or detection. Therefore, this study examined the diagnosis of long-sightedness using three algorithms which include Neural Network, Decision Tree, and Back Propagation, and this led to the development of an Expert System. Backpropagation and Decision tree algorithms were employed to train the Neural Network. A decision tree was implemented using a knowledge extraction rule to classify and categorise the disease based on the patient’s symptoms. The C# programming language was used for the system implementation, and MySQL was used for the database. The outcome of the developed system explained how the sickness was identified so eradicating the impenetrability in the Neural network only, and finally, the plan was tested after development.
An empirical analysis of machine learning frameworks for digital pathology in medical science
Authors: Sangeetha S.K.B. , Dhaya R , Shah Dhruv T , Dharanidharan R , Reddy K. Praneeth Sai
Published: February 2021

Digital pathology is a technology that allows pathological information created from a digital slide to be accessed, handled, and interpreted. Using optical pathology scanners, glass slides are collected and transformed to digitized glass slides that can be viewed on your computer monitor. Relevant support for education and the practice of human anatomy is offered by digital pathology. With the recent developments in digital pathology led to computer-aided diagnosis using machine learning approaches. So, machine learning frameworks assist physicians in diagnosing critical cases such as cancer, tumors, etc and improve patient management. With an ever growing number of choices, it can be hard to pick a better machine learning method for pathological data. Big potential attempts are made in this paper to research the full context of digital pathology with the specifics of how artificial intelligence has contributed to digital pathology. This review also analyzes various machine learning frameworks by providing as much information as possible and quantifying what the tradeoffs will be. This paper ultimately provides the improvements in the frameworks available that will be required in the near future applications.
Deep Convolutional Neural Network for Computer-Aided Detection of Breast Cancer Using Histopathology Images
Authors: Karthiga R , Narashimhan K
Published: February 2021

The innovation in medical imaging technologies leads to a frenetic pace of change in health care. In recent years various deep learning algorithms play a significant role in medical image classification and diagnosis. The deep convolutional neural network (DCNN) has obtained impressive results in many health-related applications. The fine-tuning parameters and weight initialization is the major task to adapt pre-trained convolution models. We explored transfer learning approaches using Alexnet, and VGG-16 analyzed with their behavior. Also, the DCNN framework had developed and compared with Alex net and VGG-16 transfer learning models. The DCNN attained more significant results compare to transfer learning models. The DCNN procures outstanding performance for binary (93.38%) and multi-class (average 89.29%), which exceeds the previous state of the art techniques in the literature.
A bird’s eye view of the connections among L-fuzzy i-covers, c-covers and (L-fuzzy) tolerances of L-fuzzy (point) set.
Authors: Sai Prasanthi G , Ravi Pusuluri V N H , Murthy Nistala V E S
Published: February 2021

It is known that, for any L-fuzzy set X, there is an associated L-fuzzy point set, which is a crisp set. Further, for these sets X and, there are four associated objects of study, namely: the poset of L-fuzzy i-covers of X, the poset of L-fuzzy tolerance relations on X, and the poset of L-fuzzy sc-covers of, the poset of tolerance relations on . In this paper, we establish Lagois connection between certain type of crisp covers of L-fuzzy point set, certain type of tolerance relations on the same set and construct a commutative diagram involving the said four objects in terms of Galois/Lagois connections among them. Further, we show how the Galois/Lagois connections among the sets of L-fuzzy i-covers, L-fuzzy tolerance relations, and their associated objects, together capture the improvement in strengthening the fuzzy membership grade of L-fuzzy i-covers, L-fuzzy tolerance relations.
Securing the MQTT Protocol using Enhanced Cryptographic techniques in IoT Surroundings
Authors: Sundarrajan M , Narayanan A E , Srithar V
Published: February 2021

Protocol of MQTT - Message Queuing Telemetry Transport process is among the majority of lengthy procedures in IoT protocols. Nevertheless, this particular process doesn’t apply a solid protection pattern by default, and that doesn’t let a protected authentication mechanism between individuals within the reception. In addition, we can’t believe in the confidentiality as well as integrity of information. Little IoT products deliver additional and much smarter details within aspects of IoT and so on. This will make the protection issues within the protocols applied to the IoT particularly crucial. The standard format of MQTT process highly suggests apply it through Transport Layer Security (TLS) rather than basic TCP. Nevertheless, this particular alternative isn’t probable in many little products which form the IoT environment. In many cases, the constrained materials of IoT products stop the usage of protected asymmetric cryptography systems applied through itself. So, we suggest creating a safety scheme of MQTT process by means of Cryptographic techniques, for equally difficulties, the authentication schema and also the reliable information confidentiality & information integrity. We execute this particular protection schema without changing the conventional process emails. And lastly, we show a period benefits test utilizing a Java library.
Study on Fluid Descends Vertically on Static Fluid Using Moving Particle Semi-Implicit Method
Authors: Hidayati A N , Mustari A P A , Waris A. , Yulianto Y , Ilham M
Published: February 2021

The process of fluid descend vertically on static fluid has been studied through experiment and simulation by using Moving Particle Semi-Implicit (MPS) method. MPS has been developed by Koshizuka and Oka (1996). MPS method is a particle method based on the Lagrangian calculation for incompressible medium and does not rely on grid system. This study has been done by doing simulation first then validated by experiment. Water and cooking oil were used in the experiment. This study was carried out to analyze distance and density influence in the height of static fluid bursting process. The experiments were conducted in an acrylic box with the dimension 150 mm x 40 mm x 30 mm and a bottle with height of 100 mm and the nozzle of bottle was 26 mm. The distance between nozzle and surface of fluid inside box is varied for 100 mm and 200 mm. The results show that in the same height, water will be more difficult to be moved than cooking oil because water has bigger density. The distance between nozzle and fluid surface inside the box will affect at the pressure which is received by the fluid. Higher distance will create higher pressure so that fluid inside the box will be moved easier and more fluid will split out to the box. It also gives some influence in the final condition of remaining fluid in the acrylic box.
Design and Simulation of a Reverse Flow Reactor for Catalytic Oxidation of Lean Benzene Emissions
Authors: Sophiana Intan Clarissa , Topandi Abdussalam , Culsum Neng Tresna Umi , Budhi Yogi Wibisono
Published: February 2021

This paper deals with reactor design, modeling, and simulation of a pilot-scale reverse flow operation used for catalytic oxidation of lean benzene-air mixtures. The reactor was designed for conducting lean benzene with adiabatic temperature rise less than 54°C. According to the rule of thumb, this kind of condition requires the reaction to be accomplished under reverse flow operation. In the reactor design, some criteria were calculated such as Mears, Weisz-Prater and Ergun’s criteria The reactor model was developed for 1D, pseudo-homogeneous, involving mass and energy balances. The fixed bed consisted of the inert section, placed at the outer part of the catalyst section. The results of the simulation indicated that the switching time, inlet concentration and heat extraction imposed an important influence on the performance of the reactor. Under the suitable operating conditions, the system can achieve a favorable running status, without reactor extinction, and can be operated auto-thermal, in fact, more thermal energy from the catalyst section was feasible to extract. The temperature profile remained smooth and continuous in the case of desired energy extracting from the heat exchanger.
The Effect Of SiO2 / Al2O3 Ratio Over Yield And Particle Size In Zeolite from Geothermal Waste
Authors: Munfarida S , Widayat
Published: February 2021

Hydrogen is one of compound much used in the chemical industry. Production process of hydrogen commonly applied in the industry is steam reforming using high temperatures. Catalyst can be used in the production of hydrogen is zeolite. Zeolites are the result of mine nonmetallic, so the availability is limited. PT Geo Dipa energy unit Dieng produce industrial waste of deposition silica and it can be used as zeolite materials. The objective of this research for preparation of catalyst from solid waste of geothermal industry with varied ratio of SiO2/Al2O3. The geothermal waste was calcined at a temperature of 1000 °C. The waste geothermal was mixed with 400 ml of Sodium Hydroxide 3M and added with Aluminum Hydroxide at 100 °C for two hours. Hydrothermal process was conducted at 300°C for five hours. The calcination of zeolite products for five hours at 700 °C. This research concludes that washed catalyst has a smaller yield than native. The greater ratio of SiO2/Al2O3 gives smaller yield. Catalysts that are washed have smaller particle sizes than without washing. Larger ratio of SiO2/Al2O3, it produces smaller particle sizes. In the analysis using the Particle Size Analyzer method, the resulting particle size is still relatively large at a micro scale.
Biosolubilization of Indonesia’s Subbituminous Coal Using Neurospora intermedia
Authors: Restiawaty Elvi , Sasongko Dwiwahju , Hala Ahmad Furqon , Fauzan Ryan Fitrian Sofwan , Solihah Nendry Nurramdani , Harimawan Ardiyan
Published: February 2021

Recognizing its high volatile matter content, liquefaction to convert subbituminous coal with relatively low calorific value into liquid fuel by thermal or biological process has been subjected to extensive research. The former has been implemented commercially whereas the latter challenges for further studies. This paper looks into low-rank coal upgrading through subbituminous biosolubilization usingNeurospora intermediaas the bioconverting agent.N. intermediawas initially cultured on agar medium containing a carbon source (glucose, sucrose, or cellulose) in a petri dish. After four days cultivation, sterilized coal particles with diameter of 1.5-2.5 mm were spread onN. intermediaculture. It was observed thatN. intermediacould grow on the solid culture containing glucose, sucrose, and cellulose. However, the biosolubilization product was only observed from the solid culture with glucose and sucrose as carbon source. The highest biosolubilization rate was 1.07 × 10−3abs/min and about 83% of coal could be solubilized when the media contained 15 g/L of glucose. The FTIR analysis showed that the spectrum of biosolubilization product was similar to the initial coal spectrum, but it contained small amount of aliphatic C-H group compounds and high amount of carbonyl, hydroxyl, and amine groups.
Natural Uranium Utilization in FUJI-U3 Molten Salt Reactor
Authors: Wulandari Cici , Sofyan Asep , Waris Abdul , Permana Sidik
Published: February 2021

Molten Salt Reactor (MSR) is one of the next-generation nuclear power systems known as Generation IV. In this paper, the FUJI-U3 MSR type is designed for neutronic analysis that natural uranium is used as a fuel. The standard reactor core model is adopted due to the flux flattening effect in the active core, as reported from previous research. FLiBe eutectic is used both as the coolant salt and moderator in the reactor core. The neutronic calculation is performed using the SRAC 2006 program: PIJ for pin cell calculation and Citation for core calculation. JENDL 4.0 is used as a nuclear data library that provides the cross-section data of the nuclides. The neutronic parameter results, such as the effective multiplication factor, conversion ratio, neutron spectrum, and power density, are obtained from the calculation. The reactor can achieve the criticality condition with a minimum loading Uranium Tetrafluoride (UF4) of 3.6%mol for 2000 effective full power days (EFPD). The results calculation provide some parameter survey for the research and the future development of MSR.
Validation of helical steam generator design for the experimental power reactor
Authors: Ekariansyah A S , Widodo S , Tjahjono H , Susyadi  , Wahyono P I , Budianto A
Published: February 2021

The steam generator is an important component in any commercial nuclear power plants to deliver required steam from the reactor heat. Different with the steam generator design of PWR, other design in a small modular reactor (SMR) with smaller thermal capacity incorporates the helical-coiled tubes having advantage of additional heat transfer surface to deliver a superheated steam. The purpose of this research is to model the helical-coiled steam generator in the experimental power reactor developed by BATAN using RELAP5/SCDAP/Mod3.4 code as thermal hydraulic code to obtain a validation of technical data in the conceptual design document. After a number of steady-state simulations, operational thermal hydraulic parameters such as outlet helium and steam temperature, tube pressure drop, and heat capacity have been calculated to be close with the design data. It has been found out, that the different heat transfer characteristics in the helical-coiled tubes need to be addressed specifically in the RELAP5 input data by considering the new estimated heat transfer coefficient or by modifying the heat transfer area. In general, the developed steam generator model is ready to be integrated with the experimental power reactor model that can be used for safety anaysis purposes.
Developing Digital Instrumentation and Control System for Experimental Power Reactor by Following IEEE Std 1012 −2004 to be Verified and Validated
Authors: Maerani Restu , Saharudin  , Sudarno  , Santoso Sigit , Deswandri  , Bakhri Syaful , Jung Jae-Cheon
Published: February 2021

We will develop the Experimental Power Reactor of Indonesia (RDE), by adopting the HTR-10 type from Tsinghua University-China. The–Instrumentation and Control (I&C) for RDE will developed with digital system technology which in the development process will have verification, validation, design and implementation, reviews, and audits for digital computer software activities. Software design for I&C system of Nuclear Power Plant (NPP) should be started by developing software requirement specification (SRS) to meet the requirement that systems and components should be designed, fabricated, erected, tested, and inspected. In the regulatory structure of developing nuclear power plant in Indonesia, BAPETEN also concern for the design development of important to safety with computer based system for nuclear power plant (NPP) by PERKA BAPETEN No.6 in 2012. Since BAPETEN did not state which standards should be use, we can refer to the standards that are commonly used globally. IEEE Std 1012™-2004 is recommended by the latest US. Nuclear Regulatory Commission Guide 1.168 in 2013 about verification, validation, reviews, and audits for digital computer software used in safety systems of NPP. This guide also recommends IEEE Std 279, “Criteria for Protection Systems for Nuclear Power Generating Stations,” or in IEEE Std 603-1991, “Criteria for Safety Systems for Nuclear Power Generating Stations. In this research we will examine the recommendation activity that should be follow to meet the requirement of the regulatory body which is also covered in IEEE Std 1012-2004. Developing traceability analysis in the first activity will help the designer to trace the requirement to meet the design criteria and reach the effectiveness and performance of the I&C system. By tracing from the top tier recommendation, it will help the development I&C system of RDE to be verified and validate as the design criteria for HTR-10
Analysis of water ingress accident in the RDE core using MCNPX
Authors: Taryo T , Zuhair  , Setiadipura T , Suwoto  , Kuijper J C
Published: February 2021

The 10 MW Indonesia’s Reaktor Daya Eksperimental (RDE) is a Pebble Bed High Temperature Reactor-type and to be constructed in Serpong Nuclear Zone, Puspiptek, Indonesia. The reactor applies helium gas coolant, graphite moderator, and low uranium enriched fuel (17%). A water-ingress accident may take place in the RDE core and such the accident is caused by a pipe break in the steam generator system of the reactor and hence the accident influences the reactivity of the core. To begin with, an initial core of the RDE should be modelled and the model contains the identification of material zones in the reactor core. To estimate the reactivity change due to the water-ingress accident in the initial RDE core, a void core condition from any coolant should be firstly deliberated. The core reactivity change is then estimated based on effective multiplication factor (k
eff) as a function of water density which comes into void cells among pebble containing helium coolant in the RDE core and that of the variation of 235U enrichment. The data library of thermal scattering S(α,β) as a function of temperature has been applied. The data base of thermal scattering for graphite was also utilized to comprehend the validity calculation using MCNPX. The ENDF/B-VII continuous energy nuclear data library was also smeared for all calculations at temperature of 900 0K. For the calculation using MCNPX, two options of KCODE and KSRC were taken into account to estimate k
eff of the RDE core. To achieve the accuracy of keff in the RDE reactor core, the amount of 20,000 neutrons per cycle for 150 non-active cycles and 650 active cycles was taken into account. The results showed that water-ingress accident in the RDE core is a dynamical behaviour which may result in reactivity core change of the RDE core. Finally, from all caclulated results taking into account the varietes of water density and 235U fuel enrichment, the RDE reactor core is totally safe in the event of water-ingress accident ensuing during the RDE reactor operation.
Development of responsive well plugging material in carbonate reservoir
Authors: Zhou T , Liu J T , Kong X J , Qian F , Li W J , Zhong Z , Jing N , Feng J , Zheng Q , Gu Y X , Li J Y , Li Y Y , Shi X , Sun Y D
Published: February 2021

One of the most critical problems limiting the exploration and development of the Central Asia and Middle East Areas is lost circulation caused by the natural fracture propagating in carbonate reservoir. Traditional plugging materials had limited performance due to poor adaptability to carbonate formation. This paper investigated the mechanism of lost circulation in Central Asia and Middle East Areas, and a new responsive fracture plugging materials was developed. After implementation, the complexities treatment time was shortened and drilling efficiency was increased. The main types of lost circulation mechanism are summarized and analysed by studied the reservoir characteristics of Central Asia and Middle East Areas. A physical model of horizontal V funnel leakage channel in the target block was established to simulate the migration and plugging process of plugging particles in natural fractures. Based on the analysis of the flow and accumulation pattern of the plugging fluid in the leakage channel with different aperture ratio, a statistical model of the particle flow in the plugging material was established. A response controllable solidification plugging material was developed. The application results show that, the responsive solidification controllable well plugging material could rapidly accumulate in the 1mm and 3mm fractures in the upper sealing formation. The mud cake has good toughness with compressive strength of 3.4-9.5MPa, which achieves a rapid and high-strength plugging for the fracture formation. The acid soluble consolidation plugging material, mainly composed of curing agent, retarder, suspending agent, etc., is developed for long open hole section. The dissolution rate could reach up to 91%, the plugging strength of the solidified plug is up to 10MPa and which could be stable for 15d under 150°C. This innovative anti-lost circulation materials for carbonate reservoirs can effectively solve the problem of serious loss of production due to sever lost circulation problem in the Mishrif reservoirs of Central Asia and the Middle East and enhance the drilling of complex carbonate oil and gas fields. The implementation of this plugging material improves the technical level of drilling and completion of complex carbonate oil and gas fields and provides strong support for exploration and development in Central Asia and the Middle East.
Overview of suspension system dynamics analysis
Authors: Zhang H Y , Cheng Z G , Han B H
Published: February 2021

The control strategy of vehicle suspension system model has been gradually transferred to the modern control optimization algorithm, and the traditional suspension has gradually been unable to meet the vehicle’s pursuit of high performance. Starting from vehicle modal analysis, the development status of suspension model building method, category and control strategy is described respectively. On this basis, the current development difficulties and trends are analyzed.
Parametric modeling program of single-layer spherical reticulated shell structure and prediction program of global stability ultimate bearing capacity
Authors: Qi H , Wang X R , Huang Z Y , Dai X Y , Zhuang J Z
Published: February 2021

In this paper, the “battery” program was compiled based on the parametric tool Rhino+Grasshopper and the parameterized modeling function of K-type single-layer spherical reticulated shell structure was realized. At the same time, based on BP neural network algorithm and considering the complex mapping relationship in nonlinear analysis, a neural network model and program was established to predict the ultimate bearing capacity of K8 single-layer spherical reticulated shell structure. The results show that the program can realize the modeling process efficiently and the reliability of the neural network to predict the ultimate bearing capacity of single-layer reticulated shells is verified, which provides an effective tool for improving the parametric modeling and structural optimization of single-layer reticulated shell structure.
Microstructure and mechanical properties of gas metal arc welded AISI 430/AISI 304 dissimilar stainless steels butt joints
Authors: Serіndağ Hüseyin Tarık , Çam Gürel
Published: February 2021

Nowadays, there is an increasing demand for the use of joining dissimilar metals in various industrial applications owing to the economic benefits and better joint performance. Ferritic stainless steel grades is a good alternative for austenitic ones in several applications as they display higher ductility and strength as well as better corrosion resistance in chloride environments. However, the poor ductility and low impact toughness of ferritic stainless-steel welded joints limit their wide-spread application. Thus, the demand for joining dissimilar ferritic and austenitic stainless steels is ever increasing in several engineering applications in various industries such as nuclear power plants, coal fired boilers, automobile manufacturing industry, chemistry and petro-chemistry industries, etc. Therefore, successful joining of these two different types of stainless steel grades using conventional fusion welding methods is rather important. In this study, the weldability of AISI 430 ferritic and AISI 304 austenitic steel plates using gas metal arc welding and the effect of heat input on microstructure and the mechanical properties were investigated. For this purpose, AISI 430 and AISI 304 plates with a thickness of 5 mm were joined using different heat input values. The microstructures evolved in the weld region of the joints and their mechanical properties were determined by detailed optical microscopy investigations, micro-hardness measurements and tensile tests. Thus, the influence of the heat input on the weldability of these two different stainless-steel plates using gas metal arc welding was also studied.
Bio-structure on the rachis outer surface of a bird feather
Authors: Zhao Y P , Ji J J , Zhao J S
Published: February 2021

From the perspective of biomechanics, this paper studies the outer surface of the rachis. The bio-structure was determined by microscopy. Finite element analysis was conducted on this bio-structure. The results show that, in the feather, the bio-structure of the outer surface of the rachis consists of the basic unit structure of the hexagonal shape of the edge protrusion and a small number of pentagons. The results of the finite element analysis for the basic geometry structure and flange were the edges of which the main bearing stress sites. The practical reference value was for the determination one of safety-structures.
Thermal performance on the influence of filling ratio of an acetone thermosyphon through numerical modelling
Authors: Wang C , Zhao J , Zhang H , Qin Y J , Shen X Z
Published: February 2021

A comprehensively numerical model is established to simulate the phase change in the evaporator section and condenser section in a two-phase closed thermosyphon (TPCT). Combination of Volume of Fluids (VOF) method and an user-defined function (UDF) sources is utilized to simulate the details of flow behaviors and heat transfer phenomena during heat and mass transfer inside the closed chamber. In order to investigate the effect of filling ratio of boiling pool, 50%, 75% and 100% filling ratio are obtained. The displayed contours are analyzed in the light of phase volume fraction, the vapor generation and falling droplets along the thermosyphon. Moreover, the thermal resistance and temperature distribution are conducted to investigate the thermal performance of liquid flow at the end of 10s. It is found that the thermal performance of TPCT reaches the best with 0.78K/W thermal resistance and smooth temperature distribution when the evaporator section is fully charged with acetone.
Numerical methods to predict vibration serviceability on high frequency stairs
Authors: Andrade P , Santos J , Escórcio P
Published: February 2021

With the increasingly deepen knowledge on structural dynamic behaviour, nowadays, monumental staircases and their steps are usually designed with high stiffness and low mass, obtaining high fundamental frequencies, out of the interval of step frequencies excitable by the human walking. However, neglecting the structure’s mass can also result in with high levels of impulsive responses. Furthermore, often the connection between the staircase and its steps experience an almost null rotational stiffness, which can cause local vibrations in steps, where the structural behaviour of two elements is nearly independent from each other. In this scenario, steps will most likely exhibit undesirable vibrations. Hence, intending to improve future designs, this paper compares different numerical methods that can be used to predict human induced vibrations in this type of structures, applying them to a real staircase with a high local liveness. The results showed that the footfall force time histories method could realistically predict the vibrations for almost all tested step frequencies, while the effective impulse could accurately estimate the vibrations for descents at different step frequencies. The walking models defined by Fourier coefficients only generated close vibrations for descents at 3.3 Hz.
High-temperature and room-temperature compression deformation behavior comparing of GH4169 Alloy
Authors: Zhang Y W , Lu X D , Su X , Wen B , Du J H
Published: February 2021

The hot deformation characteristics of a Ni-Fe based superalloy (GH4169) were studied in the temperature range 900-1020 °C and strain rate range 0.001-0.1 s−1 using hot compression tests. The cold deformation characteristics of the alloy were studied at room-temperature and strain rates of 0.1-1.0 s−1 using room-temperature compression tests. A hot deformation equation is given to characterize the dependence of peak stress with temperature and strain rate. A cold deformation equation is given to characterize the dependence of peak stress. Comparing the results of the high-temperature and room-temperature deformations of the GH4169 alloy indicated that hot deformation is sensitive to both temperature and strain rate, while the cold deformation is sensitive to strain. At room-temperature deformation conditions, for true strain ≈0.2, the dynamic recrystallization nucleates and grains refine.
Mobile APP fingerprint feature extraction pattern recognition based on Random Game
Authors: Chang Jie , Zuo Xiaojun , Hou Botao , Liu Shuo
Published: February 2021

The traditional feature extraction method for pattern recognition increases the computational complexity of the recognition method due to the excessive feature extraction, which leads to the low accuracy of the recognition method. To solve the above problems, a fingerprint feature extraction pattern recognition method based on random game is proposed for mobile APP. After the fingerprint image processing, the fingerprint features in the image are extracted. After removing the pseudo-feature points from the extracted image features, the pattern recognition of fingerprint features is completed by using the stochastic game theory. Through the simulation experiment, it is verified that the recognition accuracy of the proposed method increases by about 1/5, and has better recognition stability.
Research on Using Big Data Marketing to Promote the Development of E-commerce under Information Management Mode
Authors: Shang Liyuan
Published: February 2021

Under the background of the rapid development of information technology, the analysis and application of big data has been paid more and more attention to the development and application companies and enterprises. Electronic big data has become an important strategic resource. Has played a pivotal role in the IT Internet. Big data marketing has become an important marketing strategy for company sales. From the basic connotation and concept of big data and big data marketing, this paper extends how to make full use of big data marketing in e-commerce industry.
Computer Application Of Edge Detection Of Substrate Image Considering Fuzzy Microflora Optimization Algorithm
Authors: Yu Tao
Published: February 2021

Due to the success of the study of bacterial flora algorithm, more and more scholars to simulate the natural biological phenomenon, and the research results are applied to the computer design, effectively solve the problem of large-scale optimization. Firstly, this paper introduces the optimization algorithm of microflora, and explains the application of fuzzy microflora optimization algorithm to the edge detection computer of substrate image to provide readers with reference.
RETRACTED: Analysis of How to Meet the Challenges Brought by the Development of Internet Finance and The Era of Big Data
Authors: Xian Ying
Published: February 2021

With the emergence and development of Internet finance, domestic commercial banks have begun to keep up with the trend of the times and gradually accelerate the pace of informatization. Except to some changes and adjustments made by these commercial banks, the addition of information technology is also very important. Based on previous work experience, this article summarizes the challenges brought by the development of Internet finance and the era of big data. The author discussed the development of Internet finance in the era of big data, from how to establish a big data credit investigation and Internet financial supervision system, optimize the customer management system, organize professional training on Internet finance, expand the scope of Internet finance propaganda, and establish more diversified overall risks these five aspects of the network.
Construction and Application Technology Architecture of Domain-specific Knowledge Graphin Military Field
Authors: Meng Xing , Li-ya Jin , Chao-hong Yang , Jian-quan Bi
Published: February 2021

Domain-specific Knowledge Graph in Military Field is a bridge to connect all kinds of battle factors, such as combat forces, command system, weapon platforms. It’s also an important means to break through the information gap between different areas of different services. Most of the existing knowledge graph is general knowledge graph for general fields, but there is no mature method of knowledge graph construction and expression for the industry data of military specific fields. So based on the special needs for military knowledge acquisition, storage, representation, query and other technologies in the future information and intelligent operations, and application scenarios, this paper discusses the current opportunities and challenges of the knowledge graph in military domain. Then the construction of knowledge graph in military domain and application technology framework are proposed.