bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis and analysis of cupper nanoparticles produced by laser
Authors: Et. al. Mu'ataz S. Al Hassan,
Published: April 2021

Cupper nanoparticles are generated by using Nd:YAG laser nanosecond pulses using the liquid laser ablation technique. Nd:YAG of 6 and 10 nanoseconds pulse length with variable energy in the range are the two systems used (700-760 mJ ).The formation of cupper nanoparticles has been abolished using TEM with identical size distribution   It has also been observed that when identical laser parameters are used, the average nanoparticles sizes of 80 and 120 nm  for cupper  are used.Furthermore, to approximate the temperature distributions for both cupper nanoparticles, the theoretical Mie-Gans model was used. Another factor that has been found is that the maximum temperature for gold nanoparticles is between (1000 K) and (1400 K), especially for the preparation of nanoparticles in the presence of 10 ns Nd:YAG.
An Assessment on Driving Behaviourism of Goods Vehicle Drivers in Kerala
Authors: Et.al Sanjai.R.J
Published: April 2021

Road Safety has become a serious issue in this era as the population in terms of both people as well as vehicles has increased to a large extend. The behaviour of drivers is influenced by several factors, which include their socio-economic – demographic factors and vehicle characteristics. Accidents comprising of goods vehicles have been on the surge in Kerala over the years. Even though the numbers of heavy vehicles plying on Kerala roads are less compared to two wheelers and cars, the proportion of crashes involving heavy vehicles is a cause of concern. Fallacious driving behaviourism is generally considered as the leading root of such accidents. The present study intends to investigate the elements involved in the Driver Behaviour Questionnaire (DBQ), then to explore the relationships between the elements of the DBQ and accident involvement. The data were interpreted using percentage analysis. The analysis showed the level of violations, errors, lapses committed by drivers on the basis of driving behaviourism and non –driving behaviourism of the goods vehicle driver.
Amalgamative Application of Derivative Operator and Differential Sub-Ordination in Developing Theorems
Authors: Et.al D. Madhusudana Reddy
Published: April 2021

The authors have recently introduced a new generalized derivatives operator
Synthesis And CharacterizationOf Eu2wo6 By Hydrothermal Method
Authors: Et.al Sasikanth SM
Published: April 2021

Metal oxide nanocomposites play an important role in nanoworld. Materials with photo catalytic properties are widely studied because of their numerous applications. These applications include solar cell application and other photodegradation properties too. This photodegradation property include the waste water management too. This paper reports the synthesis and characterization of europium tungstate nanocomposites and explain their photocatalytic applications. The synthesis is carried out with hydrothermal method. XRD, FTIR, SEM and PL studies have been used to study the structural and morphological and optical studies. From these characterizations the sample is studied and further studied for its future uses.
Computer Aided Diagnosis of ASD based on EEG using RELIEFF and Supervised Learning Algorithm
Authors: Et.al Roopa Rechal. T
Published: April 2021

Autism Spectrum Disorder is diagnosed by physical examination of electroencephalography (EEG) signals that is very responsive to time consuming and bias. Diagnosing autism in existing research experiences low power and unsuitability for processing extensive datasets. An automated diagnosing is an essential assist to medical professionals to eliminate the problems mentioned above. In this article, a novel technique is propounded to diagnose autism from VMD, RELIEFF and supervised learning algorithms. A universal EEG dataset is adopted to explore the proposed method’s performance. The technique starts with the extraction of features from EEG signals via VMD, and to recognize the best features RELIEFF is employed. Then, to distinguish typical and autism signals, supervised learning (KNN, SVM, and ANN) methods is employed. The outcome illustrates that the proposed technique attains high accuracy, indicating a powerful way to diagnose and categorize autism.
Homotopy Perturbation Analysis in an energy transit problem closed to a Stretching Surface
Authors: Et.al Manoj Kumar Sarma
Published: April 2021

Present study explored the influence of stretching constraint in addition with inclusion of energy.An analytical solution for the system of non-linear equations of motion is worked out by adopting HomotopyPerturbation method (HPM). Physical and graphical reflections various parameters are demonstrated in thepresent problem. Utility of this model has been perceived in diverse industrial and chemical processes.2010 AMS subject classification: 76W05
Heterogeneous architecture for reversible watermarking system for medical images using Integer transform based Reverse Contrast Mapping
Authors: Et.al Subodh S. Ingaleshwara
Published: April 2021

Algorithms in multimedia security including machine learning and deep learning find its way into more and more application field resulting in strict power and area constraints. This challenges traditional homogeneous computing concepts and drives the development of new, heterogeneous architectures. One way to attain a balance of high data throughput and flexibility is to combine soft-core FPGA accelerators with CPUs as hosts. In this paper, in order to achieve higher performance, low latency, unlimited re-configurability and most important very high energy efficiency, we have proposed a hybrid architecture using CPU and FPGA. These components are then dynamically configured to form complex algorithms directly in hardware by implementing reversible watermarking of medical images. We are proposing such reversible watermarking using Integer transform based Reversible Contrast Mapping (RCM) algorithm. We got improvement in results with respect to Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM), when compare to the implementation in proposed architecture and simulation results of different image formats like jpeg, png and DICOM.
Protected Banking Verification By Figure Pixel Comparison And Bitcoin Transaction Using Blockchain
Authors: Et.al M.P.Karthikeyan
Published: April 2021

E-banking is a safe, fast, easy and efficient electronic service that enables you access to bank account and to carry out online banking services, 24 hours a day, and 7 days a week.Through web, clients can get to their record from anyplace on the planet. Acknowledgment of substantial customer is a significant issue in E-banking. The security issue emerges because of unavoidable hacking of banking web. Duplicate sites are a sort of online information deception that hopes to take secret information, similar to e-money passwords and money exchange information from clients. Hence a structure having figure pixel appraisal for purchaser approval principally based barring chain strategy. In the proposed framework, for each money given up by the customer, we produce an ID for every cash, when any aggregate of sum is moved, the ID of the monetary forms may be moved, so we can follow the method for the money going around.Thus, the graphical secret key has been proposed with the guide of numerous scientists as a chance to content based secret key. Usage of hyperlink chain graphical secret key which utilizes round resilience makes the framework more made sure about than current.
Cross - Language based Multi-Document Summarization Model using Machine Learning Technique
Authors: Et.al Ms. P. Mahalakshmi
Published: April 2021

Cross-Language Multi-document summarization (CLMDS) process produces a summary generated from multiple documents in which the summary language is different from the source document language. The CLMDS model allows the user to provide query in a particular language (e.g., Tamil) and generates a summary in the same language from different language source documents. The proposed model enables the user to provide a query in Tamil language, generate a summary from multiple English documents, and finally translate the summary into Tamil language. The proposed model makes use of naïve Bayes classifier (NBC) model for the CLMDS. An extensive set of experimentation analysis was performed and the results are investigated under distinct aspects. The resultant experimental values ensured the supremacy of the presented CLMDS model.
Automated Web Design And Code Generation Using Deep Learning
Authors: Et.al Vishaal Saravanan
Published: April 2021

Excited by ground-breaking progress in automatic code generation, machine translation, and computer vision, further simplify web design workflow by making it easier and productive. A Model architecture is proposed for the generation of static web templates from hand-drawn images. The model pipeline uses the word-embedding technique succeeded by long short-term memory (LSTM) for code snippet prediction. Also, canny edge detection algorithm fitted with VGG19 convolutional neural net (CNN) and attention-based LSTM for web template generation. Extracted features are concatenated, and a terminal LSTM with a SoftMax function is called for final prediction. The proposed model is validated with a benchmark based on the BLUE score, and performance improvement is compared with the existing image generation algorithms.
Growth And Characterization Of L-Arginine Doped Succinic Acid Single CrySTAL (LASA)
Authors: Et.al M. Anitha
Published: April 2021

Under room temperature condition semi-organic crystals of L-Arginine mixed with succinic acid were grown from a solution maintained in aqueous from by slow evaporation solution growth method. Spectral analysis Fourier transform infrared and power diffraction by X-rays was used to determine the structural behavior of the grown LASA crystals. The lower cut off wavelength values 240 nm and efficiency transparency was confirmed using ultraviolet-Vis-NIR spectrum. The efficiency of second harmonic generation has been carried out for the grown LASA crystals and the detailed discussion about the results obtained was recorded. The thermal stability and melting range of the grown mixed crystal was carried out using thermogravimetric and Differential Scanning Calorimeter analysis.
Growth and Characterization of Potassium succinate crystal
Authors: Et.al M.Vijayalakshmi
Published: April 2021

Potassium succinate single crystals with attractive optical property like non linearity were grown by proper synthesis. The crystal was grown by utilizing slow evaporation technique from the solution taking water as solvent. At room temperature the growth of crystal arises maintain constant rate of evaporation results in a formation of transparent crystals with high optical quality. Non volatile devices with high memory fabricated with ferroelectric materials observers the concentration of the researchers. Actually the ferroelectric materials have sufficient capability function as an actuator with high permittivity, good piezoelectric behaviour to create new NLO device. The following investigations were carried out to confirm the grown crystals. Single crystal and Powder X-ray diffraction studies were carried out to confirm the crystal structure, Uv-Visible studies for transparency and TGA/DSC for thermal stability. Finally the NLO property was determined by SHG efficiency.
Reduction Design of IPMSM Torque Ripple using Design of Experimental
Authors: Et.al Do-hyun Kim
Published: April 2021

In the internal permanent magnet synchronous motor (IPMSM), torque pulsation occurs under no load. This is called cogging torque, and this causes noise and vibration during startup. Use factorial design, one of the experimental designs (DoE), to find the level of the factor with the lowest cogging torque and harmonic distortion (THD). The level of the found factor is applied to the analysis model. The main factors in factorial design are the skew step and skew angle. Based on the optimal factor level found through factor design, we compared the waveforms of torque ripple and line voltage at the maximum speed and the base speed of the analysis model and the model to which the skew was applied through finite element analysis (FEM). As the skew was applied, the harmonics were reduced, thereby reducing the torque ripple, and the line voltage waveform was also applied to the skew, resulting in a smoother waveform.
Mechanism for strengthening the integrity of device carrying-in/out record management applying blockchain
Authors: Et.al Jinsu Kim
Published: April 2021

In the case of a general goods carry-in/out management system, each device is registered by assigning a unique number to RFID, and is managed as data from a server. In this method, a single server is used, and integrity corruption behavior may occur due to errors of the single server or external attacks. Blockchain uses a peer-to-peer (P2P) network to strengthen data integrity through consensus between each client. In addition, since it does not rely on a single server, the availability of a single system can be improved in that the error of a single system does not significantly affect the entire network. In order to prevent damage to the integrity of the system, we propose a mechanism to strengthen integrity through blockchain
Study On Threats To Correct Password Errors Focused On Facebook Cases
Authors: Et.al Won-chi Jung
Published: April 2021

Recently it has been discovered that login is possible even if there is a typo in ID or password on Facebook. Facebook explained, "For the convenience of users, we allow some level of error in ID or password." In addition, "Security issues such as hacking are safe because they are strictly limited in the scope of typos and identify password entry methods rather than simple typographical errors."  In this paper, We want to confirm Facebook’s claim. We can analyze the type of typos of users and guess these effects. And We want to check the problem of the function that allows typos. Facebook is used by many people in many countries. That is also being serviced in Korea. Allowing typos means that Facebook save password in plain text. The Korean Privacy law enforces one-way encryption of passwords. When personal information is leaked, there is a lot of problem. Among them, the password has a large extent of damage. because many people use the same ID/password on various sites. The hacker who hacked into one site will attempt to steal information from other sites with the same ID and password. Therefore, the password should store the hash value.
Joint Timing and Frequency Synchronization Using Convolutional Neural Network in WLAN Systems
Authors: Et.al Eui-Soo Lee
Published: April 2021

In wireless communication systems, the performance of the receiver is very sensitive to time and frequency offsets. In particular, orthogonal frequency division multiplexing (OFDM) systems are highly vulnerable to those offsets due to inter-carrier interference (ICI) and inter-symbol interference (ISI). To solve this problem, wireless local area network (WLAN) systems transmit a preamble for synchronization. In this paper, we propose a joint time and frequency offsets estimation technique based on convolutional neural network (CNN) for WLAN systems. In the proposed technique, the correlation between the received signal and the transmitted preamble is performed first. Then the frequency offset is coarsely compensated by several hypothesized offsets. The compensated signals are inputted to the proposed CNN and the CNN predicts the time and frequency offsets. The estimation performance is examined through computer simulation. According to the results, the proposed time offset estimator shows 3 dB to 6 dB performance gain, and the frequency offset estimator shows much lower root mean square error (RMSE) performance than the conventional technique at low SNRs
Design and Implementation of MQTT Load Test System
Authors: Et.al In Hwan Jung
Published: April 2021

In this paper, we design and implement an MQTT load test tools for evaluating the performance of an MQTT appliance system which is capable of handling large amounts of MQTT traffic. The implemented system consists of a master that can centrally control the performance evaluation process and a set of clients that creates virtual MQTT devices and generates MQTT traffic. The MQTT Load Test system was developed using the Java language and the Jpcap library. We developed a GUI version load test and also developed a console mode system that can be executed in an environment where GUI is not available. Using the MQTT Load Test system implemented in this paper, we were able to effectively evaluate the performance of a high-performance MQTT Appliance, another important research topic. Since MQTT Load Test Master and Slave have developed not only the GUI version but also the Console version, it is possible to test the performance even in a remote connection situation where GUI is not supported. The experiment could be conducted in various scenarios, and the number of virtual clients that had to be created per a computer could be confirmed so that the computers participating in the experiment could generate or receive MQTT message traffic of a predetermined level.

Applications: The MQTT Load Test system implemented in this paper can be used as a tool for performance evaluation of high-performance MQTT Appliances.
A Study on Cloud-based Safety ESS Watchdog System Using Ultra-Compact Wireless Sensor
Authors: Et.al Song-Do Ki
Published: April 2021

Background/Objectives: Safety matters are being discussed and countermeasures to prevent various breakdowns/accidents are urgently required. Therefore, we propose a safety management solution for ESS fire monitoring.

Methods/Statistical analysis: BLE 5.0-based ultra-compact wireless sensor-based edge that can detect off-gas early, as well as measure the temperature, humidity, vibration, and smoke in the golden time of approximately 10 minutes from the occurrence of thermal runaway inside the ESS to a fire. This paper proposes a safety system and an ESS-integrated safety management solution. Findings: It is known that the ESS currently in operation is installed without an integrated control method and a systematic protection system between facilities in order to connect new and renewable energy and to quickly supply the site, so there are many problems. For this reason, various accidents such as reactor failure and fire are occurring in the ESS installed at the actual site. Recently, 22 fires occurred in ESS facilities installed nationwide in 2019, and the government has urgently stopped ESS operation and formed a joint public-private investigation committee to clarify the cause. Among the various causes of ESS fires that have been raised, the ESS design should be considered. This paper reported an edge safety-based on BLE 5.0 that is capable of detecting off-gas and detecting temperature, humidity, vibration, and smoke early in the golden time of approximately 10 minutes from the occurrence of thermal runaway inside the ESS to a fire. A system and ESS integrated safety management solution were proposed. In this study, internal monitoring of an ESS was possible by integrating directly with existing and new ESS. The administrator can observe all conditions on the web through the cloud-based ESS integrated safety management system. Improvements/Applications: This paper analyzed and developed a cloud-based ESS integrated safety management system. It will be helpful in ESS fire management in the future and will be useful in designing artificial intelligence-based safety management solutions.
A Study On Database Structure Of Prosumer System For Online Analysis
Authors: Et.al Hyun-Sung Lim
Published: April 2021

Energy prosumer can not only save on electrical bills but also make profits by selling energy produced.  To develop online prosumer platform, this paper present database structure of each prosumer system(Photovoltaic system, Energy Storage System, Wind power system, EV Charger system). The cause of abnormalities in prosumer facilities and designed the database and developed the reference model by big data measured from the hardware. The data was preprocessed all values from the acquired data between 0 and 1 and training set and test set generated for the data transposition process. For applied AI algorithms, this paper adapted DNN(Deep Neural Network) method. This paper used Precision, Recall, Accuracy, F1-score. The result of experiment is high value of each expression. Recall value is high values and this expression is important to safety area focus. This database structure will provide online prosumer platform system and batter prediction safety system.
Analysis of the Surface Temperature and Energy Performance for the Double Paned Glazing Filled with Carbon Dioxide as an Insulating Gas
Authors: Et.al Sanghoon Baek
Published: April 2021

Background/Objectives: The purpose of this study is to develop a double glass infused with CO2 as a part of the work to resource greenhouse gases in buildings.

Methods/Statistical analysis: In the case of analysis of the results, the analysis point was focused on January during the heating period with a large indoor/outdoor temperature difference. The amount of energy lost, and the amount of heating energy used in the room. In addition, details of the concept, characteristics, and heat transfer process of the CO2 double glass have been described in detail in the previous study and will be omitted in this paper.

Findings: This study aims to analyze the insulating and energy performances for the double paned glazing filled with carbon dioxide (CO2) gas as one of works to utilize greenhouse gases in buildings . For this, double paned glazing with CO2, Air, Argon, and Krypton gases respectively apply to the building designed by the computer simulation program, and then, hourly surface temperatures in the indoor pane, hourly energy losses, and total energy consumption in the building are compared. The simulation programs are Therm & Window and EnergyPlus. The results revealed that the indoor surface temperatures of the glazing with CO2 gas are located between the glazing with Air and Krypton gases, and are similar to the glazing with Argon gas. In analysis of energy performance, it was shown that the building with CO2 glazing consumes heating energy at a similar level to the case of Argon gas.

Improvements/Applications: The insulation and energy performance when CO2 gas was injected into the double glass was verified, and it was found that it exhibited similar performance to the existing Ar gas and thus has high potential as an insulating gas.
Research on outdoor special effect device for night forest park theme park
Authors: Et.al You-Suk Kim
Published: April 2021

Recently, there have been many forest park theme parks for night tours. Various media technologies are installed in these forest park theme parks. A case study was conducted to find out the purpose and use of various media technologies used in forest park theme parks at night. We divided media technology into three major types of forest park theme parks currently in operation at home and abroad. The case was analyzed by dividing the media technology into forms that used special effects for stage performances, forms with interactive technology, and forms of lighting used for the atmosphere of the theme park. The analysis of the cases with three factors has resulted in the pros and cons of the cases in each part. The advantage is that special effects, interactive technology, and theme lighting are pioneering the media market by bringing out a new type of attraction called the Forest Park Theme Park. The first solution to this was to overcome the difficulties caused by outdoor installation in nature. It was a method to maintain temperature, humidity, dust, etc. in factors such as housing of electronic electrical equipment elements and covers of lighting. Second, we found elements that do not fit in nature. Most of the factors that were not aesthetic to the use of content were artificially installed. To compensate for this, elements such as electroplate ng tubes and camouflage control boxes should be applied from the content design and spatial design stages. By optimizing the essential elements for operation and harmonizing with nature, visitors can minimize visual fatigue and maximize aesthetics. The needs and complements of the design of the forest park theme park studied in this paper deal with the areas that need to be improved for users who have come to the night tour. This is meaningful for the development of a more enjoyable and pleasant forest park theme park.
Analysis of Cost Estimation Level from BIM Model and Development of QDB based Integrated Cost Management Model
Authors: Yun Seokheon
Published: April 2021

A change in the traditional construction cost management system is necessary for systematic construction cost management through BIM, but it has yet to present practical improvements. In this study, we would like to present a framework for information structure for Building Information Modeling(BIM)-based construction cost management. In order to analyze the differences between the traditional construction cost management system and the BIM-based construction cost management system, the level of development (LOD) was used to analyze how much existing Bill of Quantity(BoQ) can be satisfied through the BIM model. To this end, the level of availability of information in the BIM model was analyzed for the traditional BoQ of the construction work. Based on LOD 300, the analysis of the level of satisfying the traditional BoQ by utilizing the information that can be extracted from the BIM model showed that the level of information in the BIM model based on the number of items was 35%, and the impossible information was 20.8%. As a result of analyzing the ratio of construction costs, 22.68% of the BIM model's information was still available, and 10.31% of the information was impossible. Items that cannot be calculated will need to be incorporated into other items or improved by means of calculation using schematics. In addition to this level of information, it is necessary to improve the structure of traditional BoQ documents so that they can be utilized in conjunction with the BIM model. It was intended to present the framework of the information structure for the management of construction costs. This framework is constructed by adding element and space information that can be linked to the BIM model to the traditional BoQ, which enables the integrated operation of the BIM-applied construction cost management system as well as the traditional construction cost management system.
Experiences And Considerations On Performance Test Of Mosquitto-Based Broker
Authors: Et.al Kitae Hwang
Published: April 2021

MQTT is a communication protocol for exchanging messages between clients via MQTT broker and is used to build many IoT systems. Currently, various tools have been developed to help measure the performance of application systems using MQTT. However, because they are all versatile tools, a dedicated test system that meets the purpose of the application system needs to be built on their behalf. But building a test system is not that simple. In this paper we discuss a case of building a test system for measuring U-Mosquitto’s performance, which has modified the open source Mosquitto broker to handle urgent messages with priority, and some issues to be considered in the process. In particular, they include selection of the server computer, the structure of the test program, the use of appropriate threads for the client, the appropriate number of clients, the appropriate workload per client, clock synchronization between clients, protocol analyzer issues, and other issues. Our experiences and considerations on these issues are expected to be a good guide for building a test system to measure the performance of MQTT application systems.
Implementation of Returning Farmers Database Set Using Characteristics Information And Local Environment Information
Authors: Et.al Sun-Ae Park
Published: April 2021

In recent years, returning farms are attracting attention as a new way of life from urbanites who are about to retire. Returning farming means that the population living in the city leaves the city and continues a new form of life in rural areas. In other words, the fever of returning farming and returning villages is increasing, and the present is called the era of returning farming. As interest in returning farms increases, it is essential to provide accurate information for a successful return to farming life. Therefore, in this paper, a set of returned farmers database was constructed to provide information related to returning farmers with improved reliability and accuracy. To this end, personal characteristic information of returnees and local environmental information were linked. In addition, a set of databases for returning farmers was constructed using population movement statistics and agricultural management database. In this paper, data necessary for service development were selected and collected. In addition, a total of three types of service scenarios were created according to the type of use of returnees, and information on customized policy projects for returnees were constructed. Finally, an exploratory analysis of the collected data was conducted. In other words, refinement work was carried out to build the utilized database set, and the database set was constructed according to the purpose of use. As a result, the agricultural support information and the agricultural management body database were used based on the basic characteristic information of the returnees to provide selective customized information and establish a database set to improve reliability. Through this, it is possible to provide a customized service for anyone interested in returning to farming to easily access the farming information database set and obtain related information.
Analysis of Antioxidant Efficacy of Ginkgo Biloba Leaves and Acer Palmatum Leaves
Authors: Park Jang Soon
Published: April 2021

Background/Objectives: Modern people pay attention to the antioxidant effects that protect human aging and damage, but active ingredients used in cosmetics or pharmaceutical raw materials of synthetic ingredients are exposed to a number of problems.

Methods/Statistical analysis: An alternative method for solving the problem was selected, and Ginkgo biloba Leaves (hereinafter GBL) and Acer palmatum Leaves (hereinafter APL) were selected to compare and analyze antioxidant efficacy evaluations such as total polyphenol, total flavonoid, DPPH ability, ABTS radical scavenging ability, and FRAP activity measurement.

Findings: In the results of the study, GBL and APL showed DPPH activity at all concentrations (㎍/㎖). ABTS activity and FRAP Value also showed antioxidant activity in both GBL and APL, and in particular, APL has been found to be potent and is considered a rich antioxidant.

Improvements/Applications: ABTS activity and FRAP Value also showed antioxidant activity in both GBL and APL, and in particular, APL has been found to be more potent. Therefore, these species can be evaluated as rich antioxidants. This study hopes to provide GBL and APL extracts as data for the development of natural antioxidants in cosmetics and pharmaceuticals.
Electrical Properties Of The OLED With Convergence Relation By Surface Treatment Methods
Authors: Et.al Ho Shik Lee
Published: April 2021

ITO (indium-tin-oxide) is used widely as the anode electrode in organic electroluminescence devices (OLEDs).  Several studies have dealt with the effect of ITO chemical treatment but to the OLEDs performance have not been considered the effect of this treatment. We were present here results regarding these effect.We studies of the effect of surface treatments on the properties of ITO substrate. We were performed chemical treatment with RCA and Aqua regiaof the OELDs. Since we will understand the properties of OELDs, we were performed Fowler-Nordheim tunneling. The buffer layer and ITO surface treatment were performed to increase the efficiency of the OLEDs. As a result, we were obtained conform the surface properties of ITO can be significantly changed by chemical treatment. The oxygen decrease produced by chemical treatment lead to increase of oxygen vacancies. We conformed that the oxygen vacancies role on increasing carrier injection. A study on the cause of improving the performance of the device using the surface treatment and the usingthe buffer layer will be of great help in understanding the relationship between the properties  of the ITO substrate and the organic electroluminescent device.
University Students' Attitude and Anxiety Towards Computer Science Education through Computational Thinking
Authors: Et.al Youngseok Lee
Published: April 2021

Background/Objectives: In the 21st century, communication and collaboration between people is an important element of talent. As artificial intelligence (AI), the cutting edge of computer science, develops, AI and collaboration will become important in the near future.

Methods/Statistical analysis: To achieve this, it is necessary to understand how artificial AI based on computer science works, and how problem-based programming education is effective in computer science education. In this study, 177 college students who received programming education focused on problem-solving learning were identified with computational thinking (CT) at the beginning of the semester, and their satisfaction and post-education satisfaction survey showed that their attitudes and interests influenced their education.

Findings: To pretest the learners, they were diagnosed using a measurement sheet. The learners’ current knowledge statuses were checked, and the correlation between the evaluation results, based on what was taught according to the problem-solving learning technique, was analyzed according to the proposed method. The analysis of the group average score of the learners showed that the learning effect was significant. The results of the measures of the students’ CT at the beginning of the semester were correlated with problem-solving learning, teaching method, lecture satisfaction, and other environmental factors. The ability to solve a variety of problems using CT will become increasingly important, so if students seek to improve their satisfaction with problem-solving learning techniques for computer science education, it will be possible for universities to develop convergence talent more efficiently.

Improvements/Applications: if you pursue a problem-solving learning technique and a way to improve students’ satisfaction, it will help students improve their problem-solving skills. If the method of deriving and improving computational thinking ability in this paper is applied to computer education, it will induce student interest, thereby increasing the learning effect.
A Study on the Utilization Factors and Effects of Big Data in SMEs
Authors: Et.al Do-Hyung Yee
Published: April 2021

Background/Objectives: The purpose of this study was to derive major utilization factors that can increase the practical data utilization ability of SMEs by utilizing big data, and examine the utilization methods and effects.

Methods/Statistical analysis: This study derives the utilization factors and effects of organizational, technical, environmental, and policy aspects so that SMEs can increase their data utilization capabilities. The target was for SME managers or members.  Frequency analysis was conducted to understand the distribution by demographic characteristics, and the relationship between factors and effects was measured through factor analysis, correlation analysis, and regression analysis for the measured variables.

Findings: Perform regression to analyze the impact, utilization, and impact of independent variables on technology, organizational gender, environment, and policy performance as dependent variables

Durbin-Watson's index was below 2.1 and self-relevant and had the power to explain the impact of independent variables such as organizational gender, technology, environment, and policy on utilization.  In terms of application, it was found that the use of big data had an effect on education and human resource development rather than the perception of managers and members. Therefore, it was found that education related to big data and in-house experts were recognized as necessary. On the effective side, it was found that the perception of managers and employees influenced. It was found that corporate members thought that when promoting big data, promoting it with the strong will of the manager is an effective aspect for using big data.

Improvements/Applications: If you possess the infrastructure and knowledge in the company, and improve the system with the support of members, it will be an opportunity to increase the utilization of it
A Study on Advancing Strategy of Seismic Tremors Solution For Busan using Open API
Authors: Et.al Youngsuk Lee
Published: April 2021

Background/Objectives: Among the earthquake damage analysis systems developed so far, no system that could even respond from the perspective of managers in the event of a disaster.

Methods/Statistical analysis: It was intended to ensure the convenience of managers by adding additional functions to the type of seismic damage analysis system. The existing system predicted and calculated the damage caused by the earthquake. In this paper, we present a way to help respond quickly after an earthquake by using Open API, etc. It includes functions that are already being implemented, as well as those that are being researched and developed.

Findings: The existing seismic damage analysis system mostly calculates building damage caused by earthquakes, evaluates the amount of damage based on those figures, and produces figures related to refugees. But when an actual earthquake occurs, there is not much that managers can do right away with the system. This paper presents a strategic improvement plan by adding four additional functions to overcome the shortcomings of the existing system. This improvement plan is based on 3D Geographic Information System (GIS) and was intended to add Earthquake Excellence History, Vulnerable Groups Concentrated Area Information, Standard Operating Procedures, and Real-Time Evaluation Route. Earthquake Accuracy History function allows an intuitive decision on past similar records to be made. Vulnerable Groups Concentrated Area Information function helps you make quick judgments about the situation in the region where you need help first and foremost. Standard Operating Procedures are built into the system so that non-skilled people can easily perform it. Real-Time Evacuation Route feature allows administrators to have a quick insight into the path of refugees.

Improvements/Applications: The improvement plan with additional functions in the system for calculating the output related to damage can be further improved through further implementation.
CFD Analysis Of Helical Screw Tape Of Heat Exchanger For Laminar Flow
Authors: Et. al. Ravi Shankar Kumar,
Published: April 2021

The heat emission from heat exchangers is of great importance for the efficient and economical operation of industrial machines. The main focus of the study is to increase the overall heat transfer rate and optimize the design. And the Nusselt number and Reynolds number calculated using ANSYS Fluent. And the helical screw inserts save energy. A CFD study of the helical band insert with different twist ratio in the tube was performed for laminar flow as a heat transfer amplifier using commercial software. This use increased the rate of heat transfer with a significant increase in pressure drop. In this study, 3 types of helical belts were used to add value to HTC. The value of the friction factor increases with increasing Reynolds number. The value of HTC increases as the Reynolds number increases. The HTC goes up to 1562.5,1666,1886.79 in all three cases. The Nusselt number and Reynold number increase to 94.33 and 1997.5, respectively. In case 3 The temperature of the pipe wall is reduced if a pipe with an insert is used, which means less irreversibility and greater heat transfer properties. It has a relatively higher and lower temperature spiral profile in the pipe wall as the insert twist.
Mechanical Properties Of Glass Fibers Reinforced Composites: A Concise Review
Authors: Et. al. Mitali Dugvekar,
Published: April 2021

The utility of composites in today’s modern world is not hidden from anyone. From tiny objects like football to aerospace, everything involves the use of composites. Composites nearly form the backbone of our society. Composites are basically made from matrices and reinforcement. Out of the majority of reinforcement being used, Glass fibers usage cannot be neglected. These are made of fine fibers of glass (made of SiO2). They are used to reinforce various materials like arrows, bows and crossbows, translucent roofing panels, tent poles, boat hulls and paper honeycomb. This review paper is a study of various research papers related to mechanical properties of glass fibers when used with different type of matrices namely, tensile strength, impact strength and flexural strength.
Learning Management of Inclusive Elementary School in Samarinda
Authors: Et. al. Nur Agus Salim,
Published: April 2021

This research aimed to identify the management of the inclusive learning process in elementary schools in Samarinda. This research focused on the inclusive learning process activities, including material, media, methods, models and learning activities in the classroom, the collaboration between students, relationships between students, teacher-student communication, and student learning outcomes. Data collection techniques used were observation, interviews, and documentation.  This qualitative descriptive study results can be concluded that the implementation of learning management in elementary schools in Samarinda has not been carried out maximally. This case is because the application of the inclusive learning in the elementary schools in Samarinda experiences several problems, including the lack of Special Advisory Teachers, the lack of socialization of learning management from the Educational Department to the schools, and the lack of cooperation that exists between schools and Special Schools.
A Survey On Telugu Optical Character Recognition From Digital Images
Authors: Et. al. Srinivasa Rao Dhanikonda,
Published: April 2021

Images play an essential function in the electronic media to share information. Nowadays, each event is going to be recorded in the arrangement of digital images. Text from the image file won't be in a format on the computer. OCR (Optical Character Recognition) for English vocabulary is well constructed. Currently, there's a requirement of OCR for Indian languages to maintain historical documents composed mainly in Indian languages to arrange publications in the library and for program form processing. OCR for the Telugu language is challenging as consonants and vowels plays a vital role in forming words along with vattus and gunithas. It may be a mixture of vowels and consonants that may form a compound character. This paper presents research on methods utilized in the OCR method for the Telugu Language until today.
A Novel Genetic Convolutional Neuro Multi-Fuzzy Techniques for Newborn Face Recognition
Authors: Et. al. T. Arul Raj,
Published: April 2021

Advances in technology have made life simpler in today's society by supplying us with a variety of emerging demands lacking By assessing the progressive stability of biometric recognition accuracy for newborns, biometric recognition can be used to recognize missing newborns and prevent them from being switched in higher-level hospitals.. Recognizing and authenticating newborns is a major problem in many hospitals. The face recognition system does an outstanding job of identifying and authenticating the newborn. To answer these concerns, create a face recognition device for newborns. The proposed approach improves picture consistency on a newborn's face. Our objectives are to propose a genetic, convolutional neural network, and fuzzy logic-based automated framework for newborn face recognition. As a paradigm GCNMF is suggested for real-world newborn face recognition. Convolutional, pooling, and fully-connected layers, as well as a Neuro Fuzzy layer, form the Inherited Convolutional Neuro Multi-Fuzzy. The model employs hereditary, convolutional neural networks, and fuzzy logic to deal with ambiguity and imprecision in the input configuration representation. The efficacy and outcomes of the recommended method are then analyzed using newborn face datasets and the Genetic Convolutional Neuro Multi-Fuzzy (GCNMF) Approach.
Influence Of Rotation, Variable Viscosity And Temperature On Peristaltic Transport In An Asymmetric Channel
Authors: Et. al. Alaa Waleed Salih
Published: April 2021

In this paper we investigates the effects of each rotation, variable viscosity and temperature on the peristaltic phenomena in an asymmetric channel. The motion and heat equations are obtained in Cartesian coordinates, the dimensionless form of the governing equation are controlled by many dimensionless number e.g. Reynolds, Hartmann, Grashof , Prandle …These equations are nonlinear and to simplify ,the long wave length and low Reynolds number is used. The resulting dimensionless equation are then solved analytically by using perturbation expansion  about Reynold model viscosity number. The effects of different parameter on axial velocity, stream function, pressure rise and heat distribution are analysis graphically by using the mathematica package.
Era And Issues Affecting Buyer Conduct
Authors: Et. al. Rathna P,
Published: April 2021

While assessing an item or administration, shoppers search out data to judge whether that particular item will meet certain models. The fundamental worry of deals suppliers is the ticket to build their buyers' ability to purchase an item. The creators contemplated the effect old enough on the apparent significance and association of three elements known to impact individuals when purchasing garments: value, strength and reasonableness. An example of 160 French grown-ups matured 18–90 appraised their probability of purchasing a thing of dress in 27 situations, in which three levels (low, moderate and high) of every one of the over three elements were joined in a symmetrical factorial plan. For more youthful members, a low cost was thought about an adequate motivation to purchase the thing of dress. For more seasoned members, reasonableness was a more significant factor, while for the oldest individuals, solidness was the most significant.