bluuebunny/crossref_metadata_2025_split huggingface dataset:
BIOLOGICAL GENE SEQUENCE STUCTURE ANALYSIS USING HIDDEN MARKOV MODEL
Authors: Et. al. Karuppusamy T, 
Published: April 2021

Identification or prediction of coding sequences from within genomic DNA has been a major part of the search of the gene. In this work real hidden Markov models (HMMs) to denote the consensus and deliver a beneficial tool in determining the splicing junction sites Markov models which has a recurring nature in computational biology leads to statistical models, in every sequential analysis it plays a role of putting up a right label on each residue. In sequential alignment and as well as in gene identification namely exons, introns or intergenic sequences which make in a sequence with homologous residue with the target database. Under the gene identification methodology Condon bias, exons, introns have length preference which leads to a combination of splice site consensus. Parameters are fixed on the onset while weight of the different information are polled together leading to the interception of result probability, which could lead to identifying the best score based on score mean and how confident are the best scoring answers are perfect. This leads to the concept of extendibility, to perfect and ad hoc gene finder, which is a modeled transitional methodology leading to the consensus, alternate splicing and offers polyadenylation signal. This leads to piling of authenticity against a delicate ad hoc program which could make to breakdown under its individual weightiness.
Assessing impact of triple helix variables to knowledge transfer variable and innovation systems
Authors: Et. al. Agung Budi Prasetio , 
Published: April 2021

The purpose of this study was to examine the role of the triple helix (TH) variable in knowledge transfer and innovation systems. TH is divided into 3 variables, namely Industry, University and Government. This study examined three TH knowledge transfer variables and innovation systems and the items variables that supported them. This study involved 360 respondents who were selected through an interception and online survey approach and had 4 hypotheses. This study used a structural equation model to test the hypothesis. The findings showed that TH which consisted of 3 variables had a direct relationship with knowledge transfer. Meanwhile, knowledge transfer was directly related to innovation systems. Although the TH concept had been explored in some previous literature, the role of TH and knowledge transfer had not been the concern of many researchers in creating innovation systems. Implications for practitioners, these findings confirmed that Innovation systems can be formed from an early age starting from the university environment and good government policies. These findings also indicated that knowledge transfer related to TH services needed to be studied from a broader perspective. Therefore, handling TH required synergy and a special strategy to take advantage of knowledge transfer in order to create an innovation system. Originality of this study, integrated the TH dimension with knowledge transfer and Innovation Systems.
An Efficient Flow Shop Scheduling Problem With Makespan Objective
Authors: Et. al. S. Jayasankari, 
Published: April 2021

Scheduling ‘n’ job in ‘m’ machine is a tedious task for the Research scholar to solve this type of problem. Flow shop scheduling has its origin in the manufacturing industries in the early 1954. In this paper, we have developed an algorithm with the objective is to minimize the total elapsed time (makespan). Examples are illustrated to demonstrate the proposed approach in detail. Finally, the result obtained under the proposed method is compared with the existing methods available in the literature. It is found that our algorithm performs better than the existing algorithm and the result have been incorporated in this article.
Properties of Fuzzy Resolving Set
Authors: Et. al. D. Mary Jiny, 
Published: April 2021

In a fuzzy graph , for a subset of , the representation of with respect to in terms of strength of connectedness of vertices are distinct then is called the fuzzy resolving set of . In this article, we discuss the properties of fuzzy resolving set and fuzzy resolving number. And also proved some theorems and properties of fuzzy resolving number in fuzzy cyclic and fuzzy labeling graphs.
Automated Evaluation ofTelugu Text Essays Using Latent Semantic Analysis
Authors: Et. al. M Varaprasad Rao, 
Published: April 2021

The most productive strategy to improve students' ability to write is to have direct and as much as possible teacher input. However, the workload of the teacher is greatly increased. Automated systems are increasingly required to help students write essays. In the field of educational assessment technology, automated test evaluation is becoming more and more common. We present a framework that is modelled on the programme, following which the school-teachers in the BPDAV School and Govt. High School Hyderabad, Telangana, India present the automatic evaluator of student essays in the Telugu language. Language skills; the structure of the essay and the contents that fit the subject are the principal requirements for evaluating the essays. In this context, we have established a scheme focused on latent semantical analysis and the theory of rhetorical structure. The method has been evaluated in more than 600 different essays, written in different manuscripts by schoolchildren. Overall 0.82 with the teacher's assessment was achieved in our method.
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.
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.
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.
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.