bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the feasibility of hybrid renewable power for supply pumping system for irrigation
Authors: Et. al. Mhamdi Hicham,
Published: April 2021

Crop identification is vital to make an inventory of the crops grown in a given area and their cultivation period. The Remote sensing (RS) techniques can provide information on the distribution of cultivated land, crop types, and areas for the agricultural sector's effective management.

In remote sensing, various vegetation indices (VI) can analyze and evaluate multiple phenomena and themes. The Normalized Difference Vegetation Index (NDVI) is an essential and highly significant remote measurement widely used in agriculture for phenological monitoring and crop health (Ray and Dadhwal, 2001).

In this work, we present a methodology for the contribution of NDVI from Landsat 7 (TM)  and (ETM+) images to crop mapping in the Gharb region using a classification based on the pixel approach and estimating rice crop coefficient from NDVI.

The classification results concern six main types of crops planted in this region (beet, maize, sugar cane, market gardening, cereals, and rice). The classification map showed differences in agricultural practices adopted by farmers in crop spatial distribution. The classification results showed the ability of this methodology to discriminate between crops.

Crop coefficients were deduced from the NDVI extracted from the images. Due to meteorological data collected from the meteorological station TCSC of SK Tlet, the estimation of the reference evapotranspiration was made and subsequently the potential evapotranspiration of each crop during the agricultural season 2019-2020.

The highest values for ETC were obtained when the crop was in its full development when water was mainly lost through transpiration after a slight decrease in the ratio values observed during the phase of the  vegetative cycle (maturity).

The water requirements (daily, monthly and annual) for the crops were determined and their electrical energy consumption.

Renewable energy can be an effective solution to meet the energy needs of plots , greenhouses and large farms.

A technical-economic study of different combinations of autonomous hybrid renewable energy systems (HRES) in order to meet the power supply needs of the above mentioned crops in the Gharb region. The renewable energy sources considered are solar, wind and biomass. The results show that for an average energy requirement of 92 kWh/day and a peak load of 6.5 kW, the unit energy cost of the optimal configuration scenario A (PV-wind-biomass-battery) is 0.19 $/kWh. Therefore, the design, development and implementation of the proposed system is a promising solution for the security of energy supply. For a 100% integration of renewable energy, the HRES produces electricity according to the following distribution: 11% from wind, 41% from solar and 48% from biomass.
How To Build Customer Loyalty: Through Customer Experience, Perceived Price, And Customer Satisfaction
Authors: Et. al. Edhie Budi Setiawan,
Published: April 2021

The competition to get the highest Market Share among Low-Cost Carrier airlines in Indonesia is getting fierce. Airlines are competing to offer prices that are appropriate for passengers to perceive them in this era of tariff wars. The degree of satisfaction that is felt is needed to get loyal customers. The purpose of this research is to analyze the impact of customer experience and perceived price on customer loyalty through customer satisfaction. The method of analysis in this study uses the SEM-PLS (Structural Equation Model - Partial Least Square) method with 250 respondents taken by purposive sampling. The result of this research is there is effect positive and significant between customer experience on customer satisfaction and customer loyalty, also there is effect of perceived price on customer satisfaction and customer loyalty. Airlines must pay attention to the services provided to create a memorable experience for passengers and adjust prices to be accepted by passengers.
The Model of Generating Affective Commitment In Mining Companies based Information Technology
Authors: Et. al. Esti Lianaa,
Published: April 2021

This research was conducted at a coal mining company in Tanjung Enim, South Sumatra. This aim is to analyze the influence of organizational culture and transformational leadership style on job satisfaction to generate affective commitment based information technology. This method uses quantitative methods with a population of 140 employees and a sample of 111 and with data research techniques in the form of questionnaires and library data. Methods of data analysis using multiple regression analysis, validity test, reliability test, coefficient of determination, partial test with t-test. The results showed that organizational culture has a positive effect on job satisfaction with a significant value of 0.000 <0.05 and a β value of 0.457. Transformational leadership style has a positive effect on job satisfaction with a sig value of 0.000 <0.05 and a β value of 0.363.
The Structural Relationship Information Technology Used and Risk toward Banking Customer Satisfaction during Covid19, Indonesia
Authors: Et. al. Surachman Surjaatmadja,
Published: April 2021

Investigation on the structural relationship of  information technology functional quality, customer value, technology used, risk perception and customer experience of banking customer satisfaction during covid19 pandemic is very important to provide significant benefits to increase the number of customers. This research design uses a quantitative approach through a questionnaire survey conducted on banking customers in Indonesia. Data analysis was performed using statistical software, namely LISREL Version 8.0. The results of the analysis show that functional quality, perceived customer value, technology use, perceived risk and customer experience have a significant relationship with banking customer satisfaction  during the covid19 pandemic. In detail, the functional quality of banking technology is considered to have contributed 39% to  customer satisfaction when implementing health protocols. Customer value contributes to customer satisfaction, technology used  contributed to the customer satisfaction and perceived risk shaping customer satisfaction. In addition customer experience when implementing health protocols during the covid19 pandemic influence to customer satisfaction.  In conclusion, functional quality, customer value, technology used, perceived risk and customer experience show the most significant contribution to banking customer satisfaction  when implementing health protocols during the covid19 pandemic and create good acceptance of banking service performance from the aspects of empathy, physical evidence, reliability, fast response, time saving and cost-effectiveness and the new service development.
Effect of Leaf Extract (Jatropha curcas L.) Towards the Microbiolagic Quality of Layang Fish TPC (Decapterus sp.) At Room Temperature Storage
Authors: Et. al. Rahim Husain,
Published: April 2021

This study aims to determine the effect of Jatropha Curcas L. leaf extract on the freshness quality of Layang Fish (Decapterus sp.) At room temperature storage. The research consisted of two stages, namely preliminary research and main research. Preliminary research is determining the concentration of castor leaves. The main research is the concentration of Jatropha leaves used, which is 16% with a storage time of 10 hours, 14 hours, 18 hours and 22 hours. The test was carried out organoleptically (hedonic quality) and TPC. This design uses kruskall wallis for organoleptic data (hedonic quality), CRD to obtain TPC results. Organoleptic data and TPC that had a significant effect were tested by Duncan's continued test. The results showed that the fresh fly fish preserved with 16% castor leaf extract was able to maintain the quality of the fresh fly fish for 14 hours of storage. The chemical test results showed that the fresh fly fish with 16% castor leaf extract in 14 hours of storage, the microbiological quality obtained ALT value of 5.03 CFU / g, this fulfills SNI 2729.2013 concerning fresh fish.
Utilizing the Logistic Regression Model in Analyzing the Categorical Data of Economic Effects
Authors: Et. al. Mahdi Wahhab Neamah,
Published: April 2021

The categorical data has a significant role in representing statistical binary variables, and they are analyzed by means of grouping the response variable into ordered categories. Thereby, the dependent variable becomes of type binary qualitative variable. The data related to the financial position of world countries is classified within the categorical data. This work is to study the economic effects of an individual's different factors on determining the richness or poorness levels of a selected population of countries. Moreover, a logistic regression model is to be created to estimate these levels. As a sample of research, the categorical data relevant to the financial status of 20 Arabic countries were drawn from the website of the World Bank, WB. In addition, for comparison purpose, another similar set of categorical data was generated by MATLAB too. The paper has been based on two hypotheses, first is the well-known regression models, like the ordinary least squares or maximum likelihood, are not accurate in case of binary qualitative variables. Second, is utilizing the logistic regression model as an alternative model to achieve the paper goal.  The paper results, for both WB data and MATLAB data, have successfully proved the ability of the logistic regression model in manipulating the categorical data and predicting the coefficients of the corresponding regression models.
What is a Population in Online Shopping Research? A perspective from Malaysia
Authors: Et. al. Roszi Naszariah Nasni Naseri,
Published: April 2021

The rise of internet usage worldwide has created a new phenomenon of consumer behaviour, in which the consumers’ attention has been shifted to online purchasing. The increase confidence in technology and online payment sectors are causing a change in consumer behaviour, away from traditional methods (Khouloud, 2020). Statista (2018) reported an estimated amount of 1.8 billion people worldwide now purchase their goods online. According to the Internet World Statistics (2020), there are over 3 billion internet users globally, thus representing a 577% increase in growth when compared to the global population of internet users in 2000. This trend indicates that online shopping has a lot of potential and benefits to societies and businesses worldwide. The purpose of this paper is to analyse the best population in online shopping research for Malaysia context.
Influence of Profitability, Company Size and Tunneling Incentive on Company Decisions of Transfer Pricing (Empirical Studies on Listed Manufacturing Companies Indonesia Stock Exchange period 2012-2019)
Authors: Et. al. Diana Sari,
Published: April 2021

Transfer pricing greatly affects state tax revenue, so it is in Indonesia. Transfer pricing practice is carried out by diverting profits or taxable income from Indonesia to another country. The purpose of this research is to examine the effect of profitability, company size and tunneling incentives on company decisions of transfer pricing. This study uses an explanatory method, and uses secondary data in financial reports or annual reports. The population in this study are all manufacturing companies listed on the Indonesia Stock Exchange (IDX) based on 2012-2019 financial reports. The results of the analysis of this study indicate that profitability affects the company decisions of transfer pricing, while company size and tunneling incentives have no effect on transfer pricing
Intangible Conditions of Human Resources Factors in MSME Decade of Covid 19 in the Bandung City-West Java-Indonesia
Authors: Et. al. Deden Sutisna,
Published: April 2021

The purpose of this study is to compensate for the intangible variables of the human resources of MSME actors in Bandung City, related to Employee Engagement and Attitude at the time of the COVID-19. Therefore, the intact condition of the two related variables is important for stakeholders such as the government and other related parties to understand and serve as a basis for policy and decision making, especially when the economy is exposed to COVID-19. The research method used is descriptive, verification and comparative. Data were tested using the validity test, reliability test, classical assumptions and data normality, and to test the level of contribution between variables and variable dimensions used correlation and termination tests. The data were obtained from the MSME economic actors in the city of Bandung total 45 samples. The city of Bandung was chosen as a place of research because the city of Bandung is known as a model city, culinary, education, creative industries as well as the city of culture and government of West Java. The results showed that the contribution, enthusiasm, pride of business people towards MSMEs was not supportive, lost trust and small. Only MSME players have employee engagement in the form of willingness. Attitudes or attitudes in the form of motives, traits and self-concepts are still strong for every MSME actor in Bandung City, and this condition is in line with the willingness dimension of employee engagement. Based on the results of the study, it can be concluded that the employee engagement of MSME actors in the city of Bandung is currently not good or has decreased, while the attitude at is still good.
Prevalence Of Physical Activity, Sedentary Behaviour And Unhealthy Dietary Habits Among Moroccan Adolescents
Authors: Et. al. Abdelmounaim Boulhanna,
Published: April 2021

Adolescence represents a very crucial phase in the human life cycle. During this period adolescents develop individual lifestyle habits. as a result, and in the absence of data concerning the above characteristics, in the Beni Mellal-Khénifra region, we leaded a cross-sectional survey of growth ,food and hygiene behaviour conducted among a sample of 812 adolescents, including 404 boys attending school aged 13 to18 years, Furthermore, the objective of this study was also to verify among college students of the region the prevalence of moderate physical activity levels, unhealthy dietary habits and sedentary behaviour, in order to determine the risk factors related to the physical inactivity. The prevalence of physical activity was 36.08% (50.0% among boys and 22.06% among girls). Nearly 40% of these adolescents spend more than 2 hours a day in front of the screens. Unhealthy dietary habits are more frequent among adolescents and the majority of them consume Fried potatoes (fries and chips) Doughnuts/cake, Sugary drinks more than three times a week. These results show significant associations between physical activity, sedentary habits and some unhealthy dietary habits.
Typology of Agrarian Structure on Transmigration Land to Achieve Agrarian Transformation
Authors: Et. al. Aryuni Salpiana Jabar,
Published: April 2021

Land ownership and land mastery are two things that build rural structures in the community. In the peasant community, the Agrarian structure becomes the determinant of other aspects of life, such as agricultural production rate, income level as well as economic and other social factors. The importance of Agrarian structure in the peasant community makes researchers conduct a study aimed at analysing the typology of the Agrarian structure of transmigrant farmers in South Konawe Province of Southeast Sulawesi through a combination of ownership aspects and mastery aspects. This research used qualitative methods by taking one case, namely in the Transmigration Settlement Unit (UPT) Arongo in Southeast Sulawesi Province. The results showed that through the combination of aspects of land ownership and land mastery as a form of Agrarian structure, there are three typologies of Agrarian structure form in the UPT. Arongo, owning and mastering agricultural land, owning but not mastering land and not owning but mastering land. To achieve Agrarian transformation, the ideal typology of Agrarian structures for peasant communities is in the form of Agrarian structures in which people own land while mastering it so that land management is optimal.
The Politics Of Small Businesses Survival In A Competitive Market: Problems And Solutions
Authors: Et. al. Efebeh Vincent Eseoghene,
Published: April 2021

The political nature of man has made stakeholders of small businesses to be involved in one survival strategies or the order which have left the equitable distribution of infrastructure and operations of businesses owners a challenge in these regards. The study tried to identify the various problems as well as solutions to the problems militating against the small-scale business politically. The sample subject of the study is the 10 entrepreneurs and 40 employees of small- scale business. The questionnaire is a major instrument used. Mean and the standard deviation was used to analyse responses The results of the study showed that government have put up a lot of support programme to promote small-enterprise business in the local government area under study but policies, programme application, mismanagement/misappropriation of fund hinders the growth of the small-scale business. It was recommended that government should collaborate with the industrialists of the various small-scale businesses to find out their financial, manpower and infrastructural facilities needs and satisfy them
User Acceptance of Interactive Student Activities Management System: A Proposed Theoretical Model
Authors: Et. al. Khyrina Airin Fariza Abu SAMAH,
Published: April 2021

Interactive Student Activities Management System (iSAMS) is a web-based system in Universiti Teknologi MARA Cawangan Melaka that provides information on student bodies and activities.  iSAMS developed to react as an integrated management platform during the COVID-19 outbreak since student activities are essential and need to carry out. This research's main objective was to investigate how the iSAMS interface and functions affect users' intentions and attitudes when using the system.  Thus, we explored the key predictors of user acceptance of iSAMS and proposed the theoretical model for user acceptance. A conceptual structural model was developed by integrating heuristic evaluation (HE) and technology acceptance model (TAM) to identify which key predictors influence the user acceptance of iSAMS. We adopted HE and TAM in developing the model, and as the outcome, we categorized HE into three categories: system support, user interface design, and navigation.  Then, we identified three of TAM’s predictors, which are perceived usefulness, perceived ease of use, and behavioural intention to use. The hypothesis supported each of the predictors as the measurement since we required improvements for the iSAMS usability. The proposed research framework is simple to implement and can be adapted for other developed systems since it is essential in determining the system's usability and user acceptance.
Synthesizing Cybersecurity Issues And Challenges For The Elderly
Authors: Et. al. Nurul Huda Nik Zulkipli,
Published: April 2021

There are millions of users using the Internet daily including senior citizens or the elderly. This group is defined for users who are in the age range of 50-60 years old. In cybersecurity, the elderly is one of the most vulnerable groups of Internet users that is prone to cyberattacks. They are always the target and victimized by attackers, especially in cybercrime cases. However, not many pieces of research have been done on this specific group of users. Therefore, this paper will review and discuss cybersecurity issues and challenges involving the elderly.  The main objective of this paper is to investigate the critical factors that contribute to the involvement of the elderly in cybercrime. It also includes the patterns of Internet usage, level of IT knowledge, and their awareness of the danger in the digital world. One of the reasons for the surge of the cyberattack vectors is due to lack of awareness on cybersecurity defence among Internet users. From the literature synthesized, the outcome of this paper proposes a framework of cybersecurity awareness for the elderly which can be used as a guide to educate and prevent them from being exploited in cybercrime.
India’s Act-East Policy- A Critical Evidences
Authors: Et. al. Dr. Mini Jain
Published: April 2021

India and the USA are having an unprecedented warmness in their relationship presently. After all the hindrances and hiccups, the two largest Democracies are finally engaged optimally in economic and trade activities. Simultaneously, India is also developing fruitful relationship with East Asian countries and the present government has evolved the Indian foreign policy from “Look East “to “Act East”. However, this Act east policy need not to be seen in isolation and it has to be seen as a strategic alliance between India, USA, and east Asian countries to neutralize the strategically and economic advancement of China as the global economic superpower. This closeness is unprecedented, however it should not be subjected to the sovereignty of the Indian foreign policy and India should remain Non-aligned as it has reaped humongous benefits by being non-partisan.
The mythical structure and bridging of functions A nominal reading in the poetry of KhazalMajidi
Authors: Et. al. Riyadh KareemAbdullah,
Published: April 2021

: Interconnectednessin the cultural center of the poetic text of Khazaal al-Majidi embodies the actions of the focus of differentiation in employing the myth, and it connects at the other end to the possible rays of what the mythical event is, right up to the poetic dramatization of that event in the text, so that the mythical character becomes the focus of the poet’s attention, poetic employment from the point of view of the format implicit represents a formats own culture poet mm of making the choice myth employee tends to favor the poetic vision of the poet Majidi Although Tmahiaa with methods of recruitment of myth in contemporary poem, making the opening of the text of poetic commonplace and acceptable in the architectural light the modern poem , is not too much that we went to that all the formats that have appeared in this chapter or the next chapters later in the poetry Majidi her mythological roots, identifies with Alostor of mother sometimes approaching, moving away altogether, but the result is orbiting the legend, and draw Its manifestations and existence came from the womb of the myths that lived in the poet's imagination.
Analysis Of Heart Disease Using Machine Learning Techniques
Authors: Et.al Samson Cherlapally
Published: April 2021

There is a very large number in the health sector and special methods are also used systematically. Data exchange is one of the most commonly used methods. Heart disease is one of the leading causes of death in the world. This system predicts the possibility of heart disease. The results of this system provide a 100% risk of heart disease. The data used are categorized according to medical criteria. The system evaluates these parameters using data extraction methods used in Python using two basic machine learning algorithms, the Solution Tree Algorithm, and the algorithm that demonstrates the best accuracy in heart disease.
A Novel Swarm Intelligence Optimized Spectrum Sensing Approach For Cognitive Radio Network
Authors: Et.al C.Jayasri
Published: April 2021

Spectrum sensing technique have been employed for the detection of various spectrum holes in the transmission of data for the secondary users that do not interfere with the transmission of data of the primary user. The technique known as Cognitive Radio (CR) is the one that efficiently uses the entire spectrum. The primary component of the CR is Spectrum sensing. There are certainly other factors that are considered to be important such as capabilities of cognition and awareness of sensing as well. Identified are different heuristic algorithms that are developed for solving numeric problems in optimization. As the problem has been established as NP-hard, it is essential to bring a low computation complexity heuristic solution. A greedy algorithm is used for optimizing spectrum sharing. Particle Swarm Optimization (PSO) remains an efficient and popular algorithm due to its low need for a tuning parameter, high accuracy, low time for processing, fast convergence, and simplicity. In this work, the PSO has been proposed for spectrum sensing, and this has shown better performance than the Greedy Algorithm used for the CR network spectrum sensing.
A Fuzzy Approach To Predict The Thermal Performance Of Spiral Solar Thermal Collector
Authors: Et.al A.Sekar
Published: April 2021

In the recent scenario, the solar energy play a vital role for domestic usages since it is being one of the renewable forms of energy. The spiral solar thermal collector is used to harvest the solar energy. In the present work, the spiral solar thermal collector with specified dimensions was fabricated and the readings were taken. A Rule Based Mamdani Type Fuzzy (RBMTF) model was developed to predict the output temperature of the spiral solar thermal collector, using the mass flow rate of water, time as input parameters and outlet temperature as an output parameter with an aid of MATLAB fuzzy logic toolbox. The rate of flow is varied between 0.014 and 0.0755 for the time range of 600 minutes to 960 minutes. Six phonological variables were considered for each combination and the R2 value for the testing data were about 96.9%. The predicted results were found to be in concurrence with the experimental results which confirm reliability of the proposed RBMTF model.
Certain Investigation Of Real Time Networked Control Dc Motor Using Smith Predictor
Authors: Et.al Dharshan Y
Published: April 2021

In this paper, DC motor is controlled by direct structure Networked Control System (NCS) with smith predictor control strategy. Mathematical model of DC motor is identified by empirical model building and estimated Round Trip Time Delay (RTT) is considered as time delay which is induced by network. Delay time which is induced in Networked DC motor is compensated with the smith predictor controller then the designed controller algorithm is comparatively analyzed with conventional PI controller. The simulation results are formulated for identified motor model with real time network. In addition to that the hardware fabrication of real time Networked DC motor has been developed and the results of both the simulation and hardware implementation are compared.
Improved Demntia Images Detection And Classification Using Transfer Learning Base Convulation Mapping With Attention Layer And XGBOOST Classifier
Authors: Et.al Ms. Harsimran Guram
Published: April 2021

A classification scheme for the etiology of brain disease based on magnetic resonance imaging is proposed in this paper. Then, attention-based, transfer learning (Extracting variable characteristics of patterns from MRI scans) was used to generate more accurate predictive patterns, and finally, features were trained and used to classify fMRI data to Boost derived hyper-parameters were obtained and evaluated to identify different patterns of dementia risk. Typically-to-to-independent variable extractions are performed by using gradient boosting and then produces derived variables. The MRI in the system is pulled from the ADNI database. When using Feature extractor's technique, we find that most features are extracted at an acceptable speeds. The experimental results proved that the proposed approach can be applied to the task of classifying output in the proper manner. The method would help to increase precision and accuracy by (almost) 4.2 percent, while keeping recall at (virtually) 94.6%
Local Government Innovations Related to the Application of Visionary Leadership and Super Leadership Styles
Authors: Et.al Nur Wahid
Published: April 2021

This study aims to analyze Local Government Innovations Related to the Application of Visionary and Super Leadership Leadership Styles. The approach used in this study is a qualitative approach. Data collection was carried out through observation and interviews. Activities such as data condensation, display data and conclusion drawing and verification. The results showed that the sustainability of innovation in North Luwu Regency which consists of legislative, executive, human resource, environment, technology, and community support in general has received a positive response so that the sustainability of innovation in North Luwu Regency is not in doubt. service improvement, process innovation, administrative innovation, systems innovation, conceptual innovation, and radical innovation. A number of types of innovations in North Luwu Regency have been implemented. The innovation that was born in North Luwu Regency is inseparable from the application of the Visionary leadership and Super leadership styles. Leadership innovation Visionary Leadership and Super leadership in terms of the types of innovation have met the type or types of innovation in the public sector.
Development of Simulation for Predicting Maintenance Costs for Educational Facilities
Authors: Et.al Jong-Hwa Park
Published: April 2021

In Korea, educational facilities are managed after issues are detected. Furthermore, due to imprecisely estimated maintenance costs, there are problems in managing educational facilities such as excessive budgets, etc. it is impossible to accurately estimate costs for various cases such as repairs and damages. Thus, the overall maintenance costs were analyzed based on probability of cases that may occur. This study proposes a system that predicts maintenance subjects and maintenance costs using probability values and that predicts the total maintenance cost through simulations. This study used simulations to accurately predict maintenance costs in various unexpected situations. The study was carried out by classifying into three categories according to each feature. The features were described according to the type of each item and simulation of the categorized items were produced separately to calculate the expected price. In the case of ‘annual fixed expenses’, the total of the maintenance cost tended to increase with a secondary curve where the slope gradually grows with time. In the case of ‘irregular expenses due to repairs/changes caused by minor failures’, maintenance cost had a certain cycle according to a failure rate according to the life of each item and an inflation rate of 1.9% was applied to show a tendency for occurrence to grow. In the case of ‘Replacement/repair costs according to the scheduled period for the entire educational facility’, the simulation results showed that each item had a constant cycle depending on the replacement period and that facility maintenance costs did occur. This study presumed data for simulations, but did not verify it. By supplementing such limitations, it will be possible to produce a reliable simulation model. The expected effect of reducing budget waste by predicting the exact cost of educational facilities through simulation.
A Study on A Smart Firefighting Helmet Capable Of Video / Audio Transmission Based On The Firefighting Standard Disaster System
Authors: Et.al Seong-Sil Jeong
Published: April 2021

In this paper, in order to effectively respond and rescue lives in a disaster scene, the site and the command center design a smart firefighting helmet to exchange information and make accurate decisions, and propose an algorithm that can transmit and receive video and audio through it. do. Recently, there have been cases in which a rapid response has not been made due to the situation inside the disaster site and delay in communication. So, we propose a design and communication algorithm of a smart firefighting helmet that can transmit voice and video using a firefighting helmet and communicate without a separate radio operation.
Spectrum Sensing Based On Deep Learning To Increase Spectrum Utilization
Authors: Et.al Tae-Yun Jung
Published: April 2021

This paper proposes a new spectrum sensing technique for cognitive radio systems. To determine vacancy of the spectrum, the proposed method employs the recurrent neural network (RNN), one of the popular deep learning techniques. The proposed technique determines the spectrum occupancy of the primary user (PU) by observing the received signal’s energy and any information on the PU signal characteristic is not used. To this end, the received signal’s spectrum is obtained by fast Fourier transform (FFT). This process is performed on consecutive received signals and the resulting spectrums are stacked. Finally, a 2-dimensional spectrum (or spectrogram) is made. This 2-D spectrum is cut into sensing channel bandwidths and inputted to the deep learning model to decide the channel’s occupancy. While the recently published spectrum sensing technique based on convolutional neural network (CNN) relies on an empty channel, the proposed technique does not require any empty channel. Only the channel signal of interest to sense is needed. Since spectrum sensing results is two (busy or idle), binary classification deep learning model is developed. According to the computer simulation results, the proposed method has similar performance with the conventional CNN-based method while the spectral efficiency of the proposed method is much higher than that of the existing scheme. In addition, the overall learnable parameters of the proposed deep learning model is only 2/3 of the existing method
Develop A Commissioning Process And Template In Building Project For Large-Scaled Construction Company
Authors: Et.al Seongmi Kang
Published: April 2021

This study aims to establish building commissioning process for large-scaled construction company, and develop the commissioning template in accordance with each phase. The purpose of this paper is to develop a practical, systematic, professional template for commissioning for a large construction company. In addition, commissioning of buildings is the main subject of performance verification of Heating, Ventilating and Air Conditioning and Refrigeration (HVAC & R) systems that require equipment and control, so we focus on verification of HVAC & R. Large-scaled construction companies in Korea are transforming from general contractors to Engineering, Procurement, and Construction (EPC)s, and it is expected that the role of building commissioning for the objective quality assurance of buildings will be important in the future. In addition, it is necessary to prepare for this, since it is impossible to properly respond in a timely manner to the contractor who must obtain final approval from a professional commissioning company before delivering the building to owner. In order to solve these problems, it is necessary to properly understand the submission documents and work system required by a professional commissioning company and to establish a work performance system to enable commissioning from the General contractor’s perspective. As the owner's demand for building commissioning increases day by day, a response to this is necessary, also, the commissioning can respond to the global warming crisis. The research team builds the commissioning template from plan to O&M phase, then, the template contained key documents and general document packages.
Design of Reliable Disaster Recovery System through Integrated Server Redundancy
Authors: Kim Bong-Hyun
Published: April 2021

Even before the September 11 terrorist attacks in the United States in 2001, information systems prepared against disasters in Korea were extremely weak. However, as various domestic and foreign accident cases have occurred, it is recognized that preparations for this are necessary. Accordingly, at present, each institution has prepared and implemented various backup policies to protect the institution's information and data in case of disaster. Therefore, in this paper, we conducted a study to design a more stable and efficient disaster recovery system by building redundancy for server operating in integrated data center. To do this, we analyzed the redundancy design for the integrated disaster recovery server and designed the overall system configuration. Also, the design results were analyzed by testing web server redundancy and switch redundancy. In this paper, the proposed design method for stabilization and efficiency of disaster recovery system is the redundant construction of integrated server and switch. In other words, the disaster recovery system was composed of active storage and standby storage, and data stabilization was promoted through real-time replication of each other. In the existing disaster recovery system, there is a problem in stabilizing replication because there is no monitoring system for internal replication between storage arrays. To solve this problem, we designed a system that replicates all data in active storage to standby storage in real time and monitors the replication status. Therefore, introducing service conversion automation from the main system, which is the method designed in this paper, to the disaster recovery system, improves the stability and reliability of the service of the local governments, so that it is possible to operate a more efficient and advanced disaster recovery system.
Design and Implementation Of Blended Learning Approach For Simulation Education Among Undergraduate Nursing Students
Authors: Et.al Miran Eom
Published: April 2021

The importance of undergraduate nursing education has never been higher due to the aging population and complexity of patients. The blended simulation combined two and more educational methods and is an effective strategy in nursing education. This study was to evaluate the effectiveness of blended simulation using standardized patients and patients simulation. Using a convenience sampling, a quasi-experimental study was conducted.  Forty undergraduate nursing students enrolled and were allocated into the experimental group (n=20) or the control group (n=20). CPX (clinical performance examination) was used to evaluate physical assessment skills. Self-reporting questionnaires were used for communication skill and learning satisfaction. χ2-test/Fisher’s exact test and Mann-Whitney U test were conducted for statistical analysis. After completing the educational program, there were statistically significant higher levels of physical assessment and communication skills in the blended simulation group (p<.001) compared with the control group. Regarding learning satisfaction, there were also statistically significant differences with higher level of satisfaction among students in blended simulation group (p=.002). This blended simulation has high potential to successfully achieve learning outcomes in undergraduate nursing education. Providing students diverse educational methods ensures an optimal learning experience.
A Study on Cognitive Affordance Analysis and BX Design of Flight Reservation Application UI
Authors: Et.al Joon-woo Park
Published: April 2021

This study checked whether the application of the affordance design, which may improve the usability of the flight reservation application user, affects the brand's value, reliability, and loyalty, and sought an effective UI design plan of the flight reservation application. Researchers also checked the trend of changes in the flight reservation environment through theoretical study, and derived factors to analyze the impact of affordance design on user experience and brand experience. As for main analysis, the effect of the affordance design factor on the user experience and the effect of the usability factor on the brand experience has been checked using statistical analysis, and the effect priority of the affordance design factor by usability factor and the effect priority of the usability factor by brand experience factor have been derived. In the flight reservation application design, the application of the affordance design was identified to have a positive effect on the user experience. In terms of ease of learning, efficiency and memorization, the learning form and the use of metaphor were ranked high, and in the case of error prevention, contextual continuity and use correlation were analyzed as important factors. In satisfaction, all affordance factors were analyzed to form a relatively high satisfaction. The usability factors of the affordance design showed a high degree of effect on the brand's value, reliability and loyalty, and in particular, satisfaction and error prevention were identified as the most direct factor influencing the brand experience
Development Of A First-Person View-Based Korean Sign Language Education System Using VIVE Hand Tracking
Authors: Et.al Chongsan Kwon
Published: April 2021

In this study, using VIVE and Tracking, we developed a ‘first-person view-based Korean sign language education system’ that guides sign language handshapes using a 3D virtual hand from the user's point of view and then evaluates the accuracy of the handshapes that learners perform. The learning effects of a Korean sign language education system that guides sign language handshapes using 3D virtual hands in a virtual space and a system that only learns with a teacher's lecture video in a virtual space were compared and analyzed. The number of times the two groups of participants tried to make the sign language correctly was measured. Then, the measurement results were compared and analyzed and interviews also conducted. As a result of the experiment, the ‘first-person view-based Korean sign language education system’ demonstrated that some sign language handshapes, which are not easy for participants to make, were implemented faster and more accurately than traditional learning methods. Therefore, if this system is used, it is expected that sign language learners will be able to learn more intuitively through the first-person perspective. Furthermore, it is expected that learning effects can be improved through the ability of being able to judge whether users are making the correct shapes with their hands. In addition, since it is possible to evaluate the accuracy of the hand shapes, it is believed that single-person learning, which was not easy in the existing sign language education paradigm, will become possible. However, for the sign language examined in the experiment, some showed significant differences while others were less meaningful. These were analyzed because the difficulty of the learning contents used in the experiment was not high. In future research, in order to more accurately verify the effectiveness of the sign language education system using hand tracking and 3D virtual hand guidance, we intend to conduct an experiment implementing learning content with more complex sentences
Statistical Properties & Different Methods Of Estimation Of A New Extended Weighted Frechet Distribution.
Authors: Et. al. Mahdi Wahhab Neamah ,
Published: April 2021

In this paper, we introduce a new distribution is called the extended weighted Frechet distribution, which we obtain by applying the Azzalini method and deduced some statistical properties such as mean, variance, coefficients of variation, coefficient of skewness, and coefficient of kurtosis. The parameters of the new distribution were estimated by the following estimation methods: Maximum Likelihood Method (MLE) and percentile method. We used the Monte Carlo simulation to compare the performances of the proposed estimators obtained through methods of estimation.
Intra-cervical foley’s catheter or PGE2 gel for induction of labour: which one is better: a prospective study
Authors: Kaur Khushpreet , Kaur Balwinder , Kaur Navneet , Kaur Gagandeep
Published: April 2021

Background: Labour is clinically defined as the initiation and perpetuation of uterine contraction with goal of producing progressive cervical effacement and dilatation. The Foley’s catheter is an effective alternative to prostaglandins for cervical ripening/labour induction. Study was done to compare the efficacy of intracervical Foley’s catheter and PGE2 gel as a cervical ripening agent and to study maternal and fetal outcome in terms of mode of delivery and Apgar score.Methods: This randomized controlled study was conducted in Obstetrics and Gynaecology department, Government Medical College, Patiala. 200 women with indication for induction of labour were enrolled in the study to investigate the efficacy and fetomaternal outcome of induction of labour with intracervical Foley’s catheter comparing with PGE2 gel.Results: The mean age in group A was 24.41±3.37 and in group B was 24.24±3.17 years. The 95% women were induced successfully in group A and 97% were successfully induced in group B. Preeclampsia and postdatism were the most common indications for induction in both groups. The mean induction delivery interval in group A was 15.20±4.53 hours and in group B was 15.86±4.79 hours. 4.21% cases required NICU admission in group A while in group B, it was 5.15% cases.Conclusions: Our study concludes that there is no difference in efficacy between intracervical Foley’s catheter and intracervical PGE2 gel for induction of labour and both methods are complementary to each other.
Incidence and risk factors for term low birth weight babies in a tertiary care hospital in Kerala
Authors: Jacob Sheela , Jacob Ancy T.
Published: April 2021

Background: Birth weight of <2.5 kg at birth is considered low birth weight and impacts the individual's health during their adult life. Babies are born with low birth weight, both in term and preterm deliveries. This study aims to find the incidence of term low birth weight babies (TLBW) and the maternal risk factors associated with the same.Methods: This case-control study was conducted on 166 pregnant women who had term live births during the study period July 2019 to December 2020. Inclusion criteria: Women with a live singleton TLBW (<2.5 kg) - cases (63) and normal birth weight babies - controls (103). Control group selection was 1:2 proportion as per the cases. Exclusion criteria consisted of women with multiple gestations. Binary and categorical variables were presented using counts and percentages. Independent sample t-test was used to compare two continuous variables, and the chi-square test/Fisher's exact test was used to find the association of categorical variables.Results: 1344 live births were reported during the study period, of which 63 cases were TLBW babies with an incidence of 4.68%. Among the baseline parameters, significant difference was observed only in body mass index (BMI). After assessing the common risk factors like anemia, urinary tract infection (UTI), genital tract infection, gestational diabetes mellitus (GDM), and gestational hypertension, only hypothyroidism showed significant association with TLBW (OR: 2.240, 95% CI:0.98-5.13, p=0.006).Conclusions: The incidence of TLBW babies was 4.68%, which is low compared with other studies. Hypothyroidism shows significant association with TLBW in this study which was not observed in previous literature.
Autopsy emerged as ray of hope for estranged family: A case report
Authors: Chhikara Pankaj , Jain Piyush , Mandlay Sachin
Published: April 2021

Human trafficking has been a dark truth of civilization all over the world since ages. The dwindling sex ratios in Haryana has made it a hub for trafficking of poor women for marriage from other states. These women are locally called “molki” or “paro”and are an easy prey to atrocities and expoitation. However, in some cases these women are accepted into the family and live a life of respect and fulfillment but investigating authorities always presume malfeasance in such cases. One such case where a natural death was considered unnatural and unscientific presumptions were made regarding age and sexual assault by the police implicating the family of such crimes. A meticulous autopsy revealed that neither the female was underaged nor the death was unnatural.