bluuebunny/crossref_metadata_2025 huggingface dataset:
Generációs kihívások kezelése a Magyar Honvédségben
Authors: Ambrus Péter
Published: September 2020

A Magyar Honvédség személyi állományában jelenleg meglévő és várható generációs különbségek komoly kihívásokat jelentenek a szükséges emberi erőforrás biz-tosításában. A fiatal nemzedék megnyerése és toborzása, továbbá a meglévő állomány megtartása érdekében szükséges a generációs kihívások és következményeik azonosítása azért, hogy a kedvezőtlen demográfiai helyzet, valamint a folyamatos honvédségi mun-kaerő kiáramlása mellett tartós megoldások születhessenek.
ABC Project Evaluation using CPM PERT and Crash Program Methods in PT PAC Engineering
Authors:   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia., Jonadi Dion , Julius Hendri Kus ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia., Suwendy  ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia., Eni Yuli ,   Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia.
Published: September 2020

This study was made aiming to determine the optimal time needed in the implementation of the ABC project by using the CPM / PERT method, to determine the time needed in the implementation of the ABC project using the Crashing Project method and to find out the additional costs required in using the Crashing Project method. The analytical research method used is the CPM / PERT method and the Crashing Project. The results of this study show that the ABC project has a critical path that must be done, namely the A-B-C-D-E-H-I-J-K-M-N-O-R-S-T-U activity within 99 days. The cost calculated through Crashing Project is Rp. 219,300,000 and can save time to 83 days of project execution. Consumer demand to complete the project within 90 days. There fore the results of the Crashing Project get the amount of the cost of Rp. 6,200,000. The conclusion is the ABC project can be completed within 90 days using the CPM / PERT method and the Crashing Project (DJ, HKJ and S)
Mechanical Properties of Laser Welded SS316 and SS321
Authors:   Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India., Khan Muhammed Anaz , Anand A Vivek ,   Department of Aeronautical Engineering, MLR Institute of Technology, Hyderabad, India., Bhanuprakash Lokasani ,   Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, India.
Published: September 2020

Stainless steel is used in a plenitude of domains from low end applications, like surgical products to high-end applications like aerospace sector. Stainless steels are iron-carbon based alloys with more than 10.5% chromium. The chromium present in stainless steel has greater affinity towards oxygen atom and will result in the formation of chromium oxide film over the surface at molecular level. Stainless steel grades SS321 and SS316 are considered in this work due to its better flexural rigidity, corrosion resistance and maximum temperature withstanding capacity. The laser beam welding was preferred due to high local energy concentration of the laser beam, which makes it more suitable method for stainless steel welding. Chromium precipitation on the grain boundaries is avoided by using a high laser welding speed that diminishes the exposure of the weld to high temperatures. The microstructure of the welded joints are examined using metallurgical microscope to find out the flaws over the weld joint. Three-point bend test was conducted to quantify the mechanical strength of the welded joints.
Improved Fuzzy Modeling of Thyroid Disease Detection using Interval Type 2 Fuzzy Techniques
Authors:   Research Scholar, Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, India, Chandra Prabhash , Agarwal Devendra ,   Professor and Head, Department of Computer Science, School of Engineering, BBD University, Lucknow, India, Shukla Praveen Kumar ,   Professor and Head, Department of Information Technology, Babu Banarasi Das Northern India Institute of Technology, Lucknow, India
Published: September 2020

Fuzzy Systems are the managers for the modeling environment uncertainty for real time decision making. Type 1 fuzzy systems are much interpretable but less accurate than the type 2 and Interval Type 2 Fuzzy Systems (IT2FS). The paper introduces an experimental analysis to address the interpretability quantification and accuracy measurement in all types of fuzzy implementations. The experiment is carried out on the Thyroid dataset which leads to predict the level of Thyroid in the patients.
Simulation and Analysis of Protection Issues in Distributed Generation Integrated Systems using Artificial Intelligent Controllers
Authors:   Ph.D Scholar, SRK University, Bhopal, India, Vishwakarma Santosh Kumar , Kumar E. Vijay ,   Professor & HOD/EEE, SRK University, Bhopal, India.
Published: September 2020

In this paper, protection issues that arise due to distributed generation when integrated in the system are discussed. Protection of distribution system with the incidence of distributed generation can be achieved by designing the intelligent controllers that operate both under normal and faulted conditions. To analyze the issues related to protection and the performance of various distributed resources like wind turbines, microturbines, solar, PEMFC and SOFC units are considered in this paper. They are designed and modelled in MATLABSIMULINK environment. The wind power in this model is driven by an induction machine. To analyze deeply the performance of various distributed resources impact under normal and fault conditions a study has been done by simulating the various Artificial Intelligent Controllers. It can be seen from the simulation results that the performance of the DG units under normal and fault conditions is good with the AI controllers like Fuzzy, model reference adaptive controller compared to that of the conventional PID controller.
Ad-Hoc on Android using Wi-Fi Direct
Authors:   Assistant Professor, Department of CSE, Maharaja Surajmal Institute of Technology, Janak Puri New Delhi, India., Dhand Geetika , Sheoran Kavita ,   Assistant Professor, Department of CSE, Maharaja Surajmal Institute of Technology, Janak Puri New Delhi, India.
Published: September 2020

Starting with API level 14, ICECREAM SANDWITH, Android introduced API for peer to peer communication using Wi-Fi Direct. Since then many applications have been released that use this technology for data transfer and communication between two devices. But most of these have been used for just two-person communication. In this paper we propose to create a peer to peer network using the same technology. This paper focuses on creating a local wireless network of android smartphones using Wi-Fi direct. This paper also defines an algorithm using which each device can get the IP address of each of its peer. This paper will also help those who are trying to create applications on android using Wi-Fi Direct.
SMART SHIRT A New Dimension towards Wearable
Authors:   Professor, FCA, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India., Bhatia Shaveta , Chopra Sonali ,   Student, FCA, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India., Pandey Juhi ,   Student, FCA, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India., Yadav Nikita ,   Student, FCA, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India.
Published: September 2020

In ancient time, when there were no technologies and no smart devices were available, humans did all their tasks manually which was time consuming and also challenged their physical and mental health. Then invention of basic devices such as desktop computer, calculator, Abacus made their life easier. Also it reduced their work load and saved their time and efforts. The major problem with these devices were that they occupied a large space and also they it was difficult to move them from one place to another. Humans are now becoming dependent on machines for their work. And this is what led to the invention of more compatible devices which are in small sizes and are easily portable. Laptops, smart phones, tablets are some devices which provide more advantages over desktop computers and calculators. They contain integrated chips, sensors and actuators to perform functionality. In today’s world technologies are becoming the most important part of human life. We are always surrounded by some kind of technology. It can be a smart phone, laptop, smart television, automatic cars, computer, and many more. The development in technologies over past few decades completely changed the human lives. It also made a great impact on business world and provided a platform to e-commerce which is one of the most successful technologies nowadays. There are so many advanced technologies making humans life easier and comfortable day by day. One of them is wearable technology or a wearable device makes human life easier by providing computational functionalities and features.
Forest Fire Detection System using ZigBee
Authors:   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India., Kaura Shivendra , Srivastava Abhinav ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India., Khan Abuzar Nasir ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India., Kumar Raj ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India., Irshad Mohd. ,   Electrical & Electronics department, GL Bajaj Institute of Technology & Management, Gr. Noida, India.
Published: September 2020

The forest fires are alone not a threat to the environment but this add on multiple factors which are threat to the environment few examples are decreasing of ground water level, landslides, global warming. These are dangerous for the animal species and few vulnerable species. In recent years few a case has been heard of forest fires in Amazon, California which damaged the flora and fauna. Scientist have also predicted that by end of twentieth century the average temperature of earth will rise by 4.4 degree Celsius. The forest fire detection will give strength to the disaster response capacity. Environmental parameters such as forest temperature and humidity can be tracked in real time. From the information gathered by the system, wildfire fighting or fire prevention decisions can be taken as quickly as possible by the respective fire departments.
Delayed LMS Algorithm for Ballistocardiogram Biomedical Signal
Authors:   Department of ECE, Nitte Meenakshi Institute of Technology, Bangalore, India, M Manjula B , S Prasantha H ,   Department of ECE, Nitte Meenakshi Institute of Technology, Bangalore, India., A Goutham M ,   Department of ECE, Adi Chunchanagiri Institute of Technology, Chikkamagalur, India.
Published: September 2020

The Ballisto-cardiogram (BCG) is a biomedical signal which is basically a measure of ballistic forces on heart. Just like ECG to detect the abnormalities in heart Ballisto-cardiography technique is used extensively now a day in research to analyze the abnormalities of the patient. When the blood pumps from heart to different parts of the body is represented in the form of graph for each heart beat. The frequency of Ballisto-cardiography signal is 1-20Hz .Ballisto-cardiography is most emerging techniques which is used to test the diseases related to heart called as cardiovascular disease. Various devices [1] like chairs, beds and weighing scales are projected to improvise the extraction of the BCG, but noise is one of the main issues with this BCG signal processing, noise is generated because of motion artifacts, shaking of the devices or may be power line noise. This noise [2] affects the quality of signal which we need to test. In order to overcome such issue this paper proposes a new architecture making use of LMS filtering algorithm Here weight update algorithm is used to update the error in extracted signal. The architecture proposed here includes FIR filter and also error computation blocks. Here the author has implemented 5-tap filtering algorithm. MATLAB and system generators are used to carry out the work.
Pothole Detection System
Authors:   Department of Computer Science and Engineering, SRM IST Ramapuram, Chennai, India., Premanand Tushar , Sridhar Sriram ,   Department of Computer Science and Engineering, SRM IST Ramapuram, Chennai, India., Durbha Abhinav ,   Department of Computer Science and Engineering, SRM IST Ramapuram, Chennai, India.
Published: September 2020

Potholes are a common nuisance that most people have had the displeasure of coming across. These bowl-shaped cavities in the road cause a large proportion of automobile related accidents, either directly or indirectly. Begetting the process of getting a pothole covered/fixed is a time consuming one that involves informing the appropriate authorities and having them take action. Implementing a system that involves citizens in the process of detecting pothole is what is being envisioned. The system includes a mobile application which is capable of taking a photo, this photo is then sent to a backend server where it is processed by a neural network model capable of detecting potholes. If any potholes are detected in the photo then the photo is saved along with its geolocation and forwarded to the appropriate authorities thus providing an efficient method of identifying potholes and removing the communication gap between the government and its citizens.
Fall Detection and Daily Living Activity Recognition using Machine Learning
Authors:   Assistant Professor (Sr. Gr), Department of Information Technology, Sri Ramakrishna Engineering College, Chennai, India, C Ranjeeth Kumar. , D Sathya Praba. ,   Student, Department of Information Technology, Sri Ramakrishna Engineering College, Chennai, India, S Shanmugapriya. ,   Student, Department of Information Technology, Sri Ramakrishna Engineering College, Chennai, India., R Sounderya. ,   Student, Department of Information Technology, Sri Ramakrishna Engineering College, Chennai, India.
Published: September 2020

Elder people are increasing all over the world as a result certain fall occur in their daily life. This fall lead to several severe problems. The fall may often causes injuries and in many cases it result in death of the individual. The problem should be addressed to reduce the fall. By using some Machine Learning(ML) algorithm the fall and daily living activities are recognized. The acceleration and angular velocity data obtained from the dataset are used to detect the fall and daily living activity. Body movement of the person are collected and stored in the dataset. Acceleration and angular velocity data are used to extract the time and frequency domain feature and provide them to classification algorithm. Here, Logistic regression algorithm is used for detecting the fall and living activity. It is very effective algorithm and does not require too many computational resources. It is easy to regularize and provide well calibrated predicted probabilities as output. The sensitivity, accuracy and specificity of fall detection and activity recognition is obtained as a result. The performance evaluation is made with three classification algorithm. The three classification algorithm are Artificial neural network (ANN), K-nearest neighbours (KNN), Quadratic support vector machine (QSVM). Logistic regression provides highest accuracy compared with other three algorithm.
Vehicle Surveillance and Tracking using Background Segmentation
Authors:   Assistant Professor, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India., S Bhaggiaraj. , C Ranjeeth Kumar. ,   Assistant Educator, Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India., S Rahul Vijay. K. ,   Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India., A Vignesh Prabhu. ,   Department of Information Technology, Sri Ramakrishna Engineering College, Coimbatore, India.
Published: September 2020

A significant initial step for video investigation is Background Subtraction and it is utilized to find the objects of enthusiasm for additional prerequisites. Foundation deduction approach is a general technique for movement recognition strategy, which proficiently utilizes the distinction of the current picture and the foundation picture to recognize moving articles. Here the proposed calculation is known as Mixture of Gaussian (MOG) process. This goes under a quality investigation calculation for pictures, which could be handled in the recordings and casings. A methodology is utilized alongside the Kalman channel for outline by outline identification. At that point the MOG is utilized naturally to gauges the quantity of blend parts required to display the pixels foundation shading dissemination. Here executes the foundation concealment for static and dynamic foundation pictures without utilizing any reference foundation pictures, and furthermore smother the clamor out of sight picture's shadows. Kalman channel is a channel that contains strategies portrayed by inferior computational expense and depends on a strong factual model, on a heartiness level. At long last, the fragmented foundation picture is acquired with acceptable execution. At that point the key of this technique is the instatement and update of foundation picture and recognition of moving article, which is likewise exact.
Parking Assist using Convolution Neural Networks
Authors:   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., S Swasthi B , R Anagha ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India, S Arpitha ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., S Sanjay B ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India., K Harshitha ,   Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India.
Published: September 2020

Parking vehicles are one of the most frustrating tasks that people face these days. Locating an available parking space is a huge headache especially in urban areas. This paper aims to design one such parking system which, in many ways reduces the hassles of parking. The paper presents a system where a Machine Learning model, Convolution Neural Network(CNN) is used to classify parking slots in a parking space into vacant and filled slots. In order to optimize the task of classification, the method of Transfer Learning is implemented in the paper. The problem of parking stands not only limited to causing inconvenience to the drivers, but also escalates to much larger and extensive problems, affecting a lot more people the environment. Hence it is very important to have a system is used parking system in place. The model proposed in the paper sends across parking information to a driver well in advance, there by greatly reducing the waiting time for the vehicle.
Automated Mango Fruit Recognition by Multi Task Convolutional Neural Networks for Harvest Robot
Authors:   Professor, NRI Institute of Technology, Agiripalli, Krishna Dt, AP, Gopi Nekkalapu , Rao P Rama Koteswara ,   M Tech student, NRI Institute of Technology, Agiripalli, Krishna Dt., AP
Published: September 2020

Efficient and effective mango fruit recognition is viewed as significant for development of a smart agriculture robot (ARo) for yield prediction, pest control, sorting and fruit detection. Several fruit recognition techniques for structuring ARo have been employed during the most recent decades. Recently, ordinary natural fruit identification techniques are lacking progressive response, exactness and extensibility. In this paper, we proposed an improved algorithm of MTCNN (Multi-Task Cascaded Convolutional Network) based on IFD (Intelligence Fruit Detection) technique. This technique has the ability to make the ARo work progressively with high precision. Additionally, in view of the connection between the number of tests on dataset and the boundaries of Neural Networks advancement, this work presents an improved strategy. A method that depends on image clustering is used to improve the identification in this project. The experimental results exhibited that the proposed identification performed significantly, both as far as exactness and time-cost. Besides, the broad trials exhibited that the proposed strategy has the limit and a decent compactness to work with other associated systems.
The Impact of Orang Asli Students’ Learning Styles on Their Achievement of Meaningful Learning
Authors:   Department of Technology Management, Faculty of Technology, Asia Pacific University of Technology & Innovation, Technology Park Malaysia, Bukit Jalil, 57000 Kuala Lumpur, Malaysia., Kamsin Intan Farahana , Khalid Fariza ,   Centre of Teaching and Learning Innovations, Faculty of Education, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia., Salleh Nor Syazwani Mat ,   Department of Art and Design, Faculty of Art, Computing and Creative Industry, Sultan Idris Education University, 35900 Tanjung Malim, Perak Darul Ridzuan, Malaysia., Hamdan Analisa ,   Faculty of Human Development, Sultan Idris Education University, 35900 Tanjung Malim, Perak Darul Ridzuan, Malaysia., Manaf Siti Zuraida Abdul ,   Faculty of Education, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
Published: September 2020

Orang Asli was the original people, who are majority of them located in peninsular Malaysia. They are facing a difficulty in education since less meaningful environment created for them which integrate their preferable learning styles. Additionally previous studies show that Orang Asli students had low motivation level in learning since less condusive education enviroment developed for them. Thus, it is important that teachers have a sound understanding of their students’ different learning styles. The significance of understanding students’ learning styles also applies to Orang Asli students. However, perhaps due to their isolation, this group’s need for meaningful education has not been widely studied. Consequently, a lack of literature on their learning styles is apparent. This study aims to measure whether the learning styles positively affect meaningful learning among Orang Asli students. A quantitative research was conducted which involved 72 Orang Asli students from an Orang Asli community in Selangor, Malaysia. The data was collected using the Meaningful Hybrid E-Training Instruments. Data was analyzed with the SmartPLS 3.0 software. The research findings show that the instrument is highly reliable and valid. Moreover, it has been discovered that Orang Asli students’ learning styles have a positive effect upon their meaningful learning. This study demonstrated that teaching and learning activities catering to these students’ different learning styles allow meaningful learning to be achieved more successfully. Therefore, teachers are highly encouraged to take into account the various learning styles of Orang Asli students in their teaching in order to help them achieve meaningful learning.
To Explore the Relationship of Factors in the Third Party Logistics Industry using DEMATEL
Authors:   Research Scholar, Department of Mechanical Engineering, Noorul Islam Higher Education, Kumara coil, Tamil Nadu, India,, R Ashok. , R Rajesh. ,   Principal, Rohini College of Engineering & Technology, Anjugrammam, Tamilnadu, India,, Kumar Surender ,   Assistant Professor, Jaipuria Institute of Management, Noida, Uttar Pradesh, India.
Published: September 2020

The 3PL market is a growing trend around the world, but it is already grown in the UAE, especially in Dubai, where it is having very high market and is growing fast in Abu Dhabi like Dubai. The DEMATEL approach is used to develop an important relationship between dimension and criteria. It uses the matrix and related theories of math to calculate the cause and effect of the degree on each variable. This approach is commonly accustomed to solve various sorts of complex studies which will effectively explain the complex structure and supply the reasonable choices of problem-solving. The primary motivation behind this paper is to break down the components impacting customers' practice in third-party logistics industry by applying DEMATEL strategy. Fourteen factors namely Responsiveness, Reliability of the 3PL provider, Quality of operation, Cost, Flexibility, Financial stability, Delivery time, Ability to meet customer needs, Document accuracy, Storage facilities, Good communication, Attitude towards customers, Technical competence and Reputation are chosen from many different studies. In this research, six experts were involved with a request to evaluate the degree of direct impact between two variables by means of a pair comparison. The results showed the best three significant factors influencing delivery time, quality of operation and cost. Besides, cause and effect connection outlines are additionally built to increase the understanding of the intuitive connection between those criteria. It is discovered that reputation has the most effect on the other factors and cost gets the most effect from different components. At last, this article gives realistic guidelines for the 3PL market in Abu Dhabi, UAE.
Optimizing Search and Data Analytics of Twitter Data using Elastic Search Algorithms
Authors:   Research Scholar, Department of CSE, Acharya Nagrjuna University, Guntur, India., Shaik Subhani , Rao Nallamothu Naga Malleswara ,   Professor, Department of IT, RVR & JC College of Engineering, Chowdavaram, Guntur, (A.P.), India.
Published: September 2020

Quick data acquisition and analysis became an important tool in the contemporary era. Real time data is made available in World Wide Web (WWW) and social media. Especially social media data is rich in opinions of people of all walks of life. Searching and analysing such data provides required business intelligence (BI) for applications of various domains in the real world. The application may be in the area of politics or banking or insurance or healthcare industry. With the emergence of cloud computing, volumes of data are added to cloud storage infrastructure and it is growing exponentially. In this context, Elasticsearch is the distributed search and analytics engine that is very crucial part of Elastic Stack. For data collection, aggregation and enriching it Beats and Logstash are used and such data is stored in Elasticsearch. For interactive exploration and visualization Kibana is used. Elasticsearch helps in indexing of data, searching efficiently and performing data analytics. In this paper, the utility of Elasticsearch is evaluated for optimising search and data analytics of Twitter data. Empirical study is made with the Elasticsearch tool configured for Windows and also using Amazon Elasticsearch and the results are compared with state of art. The experimental results revealed that the Elasticsearch performs better than the existing ones.
Pattern Recognition through Dip for Wind Turbine
Authors:   Department of EEE, KPRIET College, Coimbatore, India., Bharathi S. , Madhuleka K. ,   Department of EEE, KPRIET College, Coimbatore, India., Vijayalakshmi V. J. ,   Department of EEE, KPRIET College, Coimbatore, India., Uthirasamy R. ,   Department of EEE, KPRIET College, Coimbatore, India.
Published: September 2020

This paper depicts the realization of DIP (Digital Image Processing) technique for pattern recognition to identify objects in video stream. The proposed model compares the test object with standard model and identifies the missing objects in the test item. The model uses image classifier algorithm as a tool. The simulations are carried out in MATLab Simulink and various test items are compared under different morphological conditions. The model is fabricated to analyze and indicate the omitted components in wind turbine.
Effect of Motion Intensity on Perceived Quality of Multimedia Communication
Authors:   Lecturer, Department of Electrical and Electronic Engineering, Akwa Ibom State University, Ikot Akapden, Mkpat Enin L.G.A., Akwa Ibom State, Nigeria., Ukommi U. S.
Published: September 2020

Wireless multimedia communication facilitates the way we communicate and work. Multimedia communication has greatly changed the approach of modern world communication, especially during the peak period of coronavirus pandemic, where patterns of official meetings, business transactions and medical services shifted toward virtual approach using multimedia applications such as video conference, Skype, zoom applications and Video on Demand for personalized media consumption. Multimedia communication demands large chuck of scarced network resources to meet users’ quality performance compared to audio communication. This paper assesses the effect of motion intensity on perceived quality of multimedia communication. System simulations performed with the four different ITU-T reference sequences standard test multimedia sequences of various motion intensity characteristics shows that the perceived quality multimedia test sequences decreases with increase in motion intensity level of test multimedia samples under constraint network condition. Approximately, Akiyo test sample with significant low motion intensity recorded average Mean Opinion Score (MOS) value of 4.16 compared with 3.11 and 3.02 MOS values obtained for test samples with relative high motion intensity characteristics.
Automatic Switching of Three Phase Induction Motor during Fault Condition
Authors:   UG Scholar, Department of EEE, KPR Institute of Engineering and Technology. Coimbatore, India., S Aswin. , P Jagadesh. ,   UG Scholar, Department of EEE, KPR Institute of Engineering and Technology. Coimbatore, India., P Keerthi Aravind.S. ,   UG Scholar, Department of EEE, KPR Institute of Engineering and Technology. Coimbatore, India., P Kesava Suriyan. ,   UG Scholar, Department of EEE, KPR Institute of Engineering and Technology. Coimbatore, India., I Baranilingesan. ,   Assistant Professor, Department of EEE, KPR Institute of Engineering and Technology. Coimbatore, India
Published: September 2020

This paper proposes the automatic switching of a three-phase induction motor to provide an uninterrupted motor operation in industrial applications. To accomplish this aim, two motors are employed one is a primary motor and another one is a back-up machine that is automatically made switched on in the case of primary motor fails to operate. All the process is controlled by the Arduino controller design. Moreover, the continuous running of motors causes the motor temperature to rise, which is effectively handled by the proposed controller design, which automatically switches the primary and backup motor for every 24 hours. The motor operating status is automatically updated by means of GSM strategy to the operator. Here arduino controller used to control the induction motor with the help of relay. In the case of unexpected fault conditions, to protect the system both the motors are automatically switched off and a message is passed to the operator about the fault condition. The proposed methodology is experimentally validated by a hardware model with better working performance.
Study of changes of soil and mycological after numerous uncontrolled arson vegetation and method of recovery solution to mikoryzovanym objects of nature reserve fund Mountain Lion in Lviv. Research of 2020
Authors: Taras U. , Ruda M.
Published: August 2020

Regional Landscape Park «Znesinnia» was declared an object of nature reserve fund of Ukraine by the decision of the Lviv Regional Council of People's Deputies. The park was created to preserve and recreate the unique natural and historical complex of the Znesinnia ridge and the adjacent territories of the ancient settlements of Znesinnia and Kryvchytsia. The territory of the Park belongs to the category of lands of nature protection, health, recreational and historical-cultural purpose. The Park has an area of 312.10 hectares. To regulate the impact of the urban environment and the formation of a single natural and architectural ensemble of the Park and adjacent areas, a protection zone of 473.61 hectares is allocated. The area of the Park together with the protection zone is 785.71 hectares. An organic-based spore preparation is used in the research. The research was conducted in the spring. To consolidate the effect and to minimize the risk of loss of positive dynamics, taking into account the negative succession changes observed earlier, it is recommended to re-inoculate during the growing season with mycorrhizal spore preparation of the soil of Mount Leva in RLP «Znesinnia».
The Concept of Atonement in the Old Testament, Greco-Roman World and the New Testament
Authors: Eyo Ubong Ekpenyong
Published: August 2020

The Concept of Atonement has been an old concept in the biblical world. The Old Testament speaks of it using mainly the Hebrew word כפר (kphr), with its attendant various implications. This concept wasn’t alien in the Greco-Roman world which formed part of the New Testament background. The New Testament writers pushed the concept of atonement beyond the level of animal sacrifice in the Old Testament, and the gods allowing themselves to be reconciled to sinful humanity in the Greco-Roman religious context, to the point of Jesus Christ being viewed as the Lamb of God, i.e. both the sacrificial lamb and the priest that offers the sacrifice. In this way, Christ is presented both as the offering and the offeror. The New Testament uses two main Greek words καταλλαγή/ (katallage) and ἱλασμός (hilasmos) in driving home this important concept which stems from God’s love towards the creation and results in forgiveness, restoration of estranged relationship, maintenance of divine justice and expression of divine mercy. The work used content analysis method of research and comparative theory in the study of religion in dealing with the subject of atonement in the Old Testament, Greco-Roman Context and the New Testament. Significantly, the work draws a thread of thought from Old Testament through Greco-Roman thought on atonement to that of the New Testament. It therefore also serves a point of comparative religious study of this thought among these three world views.
EFFECT OF SPRAYING AMINO ACIDS ON GROWTH AND YIELD OF BITTER GOURD PLANT GENOTYPES Momordica charantia L. AND ITS CHARANTIN CONTENT
Authors: & Al-jebory Al-asadi
Published: August 2020

This Experiment was carried out in the plastic houses , College of Agricultural Engineering Sciences , University of Baghdad during the spring season 2018. Six inbred lines of bitter gourd were crossed full diallel crosses and planted during season 2018-2019 (six inbred lines +15 diallel hybrid + 15 Reciprocal hybrid + control hybrid). These genotypes were studied under the influence of amino acid spraying. This experiment was carried out using the split-plot design included two factors: The first factor represents amino acid spraying with control treatment and spraying phenylalanine amino acid at a concentration of 50 mg/L, and spraying Tyrosine amino acid at 100 mg/L with three times during the growing season. Represents the main plot were distributed randomly on three replicates.The second factor represents 37 genotypes of the bitter gourd represents Subplot. The results were showed highest that the interaction [T (5 × 4)] had total chlorophyll concentration in leaves (29.11 mg .g-1) , percentage of fruit setting (86.95%), fruit weight (122.6 g). While the interaction P (2×3) had the highest charnitin yield in the plant (0.857 g). The hybrid(2×3)  gave the highest charantine in the plant (0.760 g).
IMPACT OF SORBITOL- INDUCED OSMOTIC STRESS ON SOME BIOCHEMICAL TRAITS OF POTATO IN VITRO
Authors: & et al. Mawia
Published: August 2020

This study had as principal objective identification of osmotic-tolerant potato genotypes by using "in vitro" tissue culture and sorbitol as a stimulating agent, to induce water stress, which was added to the  culture nutritive medium in different concentration (0,50, 110, 220, 330 and 440 mM).  The starting point was represented by plantlets culture collection, belonging to eleven potato genotypes: Barcelona, Nectar, Alison, Jelly, Malice, Nazca, Toronto, Farida, Fabulla, Colomba and Spunta. Plantlets were multiplied between two internodes to obtain microcuttings (in sterile condition), which were inoculated on medium. Sorbitol-induced osmotic stress caused a significant reduction in the ascorbic acid, while the concentration of proline, H2O2 and solutes leakage increased compared with the control. Increased the proline content prevented lipid peroxidation, which played a pivotal role in the maintenance of membrane integrity under osmotic stress conditions. The extent of the cytoplasmic membrane damage depends on osmotic stress severity and the genotypic variation in the maintenance of membranes stability was highly associated with the ability of producing more amounts of osmoprotectants (proline) and the non-enzymic antioxidant ascorbic acid in response to osmotic stress level. The results showed that the genotypes Jelly, Nectar, Allison, Toronto, and Colomba are classified as highly osmotic stress tolerant genotypes, while the genotypes Nazca and Farida are classified as osmotic stress susceptible ones.
AN ECONOMICAL STUDY TO MEASUREMENT OF MARKETING EFFICIENCY IN CALF FATTENING FIELDS IN NINEVEH GOVERNORATE(2018)
Authors: & Al-Taye Abdullah
Published: August 2020

This study was aimed at assessing marketing efficiency in the main sites of meat production of calf fattening fields in the private sector due to the importance of meat, especially red meat, which has essential nutrient for human body growth and high commodity prices depending on the measurement indicators used to suit the nature of the research conducted in calves fattening production fields in Gogjali region- Nineveh  (2018). The basic source data of the study is obtained from sources on the ongoing ground- marketing questionnaire of three levels, the producer, the wholesaler, the retailer and two fields groups of caste random sample. The first group included (100) fields with imported calves class. The second included (51) fields with local calves class. Whereas, according to the production and marketing costs indicator, the average of marketing efficiency (ME1 ) of marketed meat in both groups of claves fattening fields amounted (92.47, 93.39%) respectively for a kilogram which is a sign of high production costs and, according to the marketing margins indicator, the average of marketing efficiency (ME2 ) of marketed meat in both groups of claves fattening fields amounted (86.89,79.13 %) for per kg which is a sign of high marketing margins. Thus the study concluded a high value of marketing efficiency using the first scale with the fattening period time for both groups while marketing efficiency by using the second scale was characterized by the gradual decline in the imported fattening fields and a gradual rise in the local fattening fields.  The study recommends supporting production inputs (fodder, treatment), unifying markets and limiting the    importation of red meat importation  in order to obtain a good production and currency policy by which the production costs could be reduced to the minimum .
ALTI ROTORLU VE SEKİZ ROTORLU İNSANSIZ HAVA ARAÇLARININ FARKLI BOZUCU ETKİ ALTINDA UÇUŞ PERFORMANSLARININ KARŞILAŞTIRILMASI
Authors: YILDIRIM Şahin , ÇABUK Nihat , BAKIRCIOĞLU Veli
Published: September 2020

Bu çalışmada, altı rotorlu ve sekiz rotorlu iki tip insansız hava aracın (İHA) bozucu etki altındaperformanslarının karşılaştırılması için benzetim gerçekleştirilmiştir. Rotor sayısının farklılığının uçuşperformansına etkisinin belirlenmesi esasına dayanan bu çalışmada her iki tip araç için aynı kontrolcükullanılmıştır. Geleneksel kontrol yöntemlerinden olan Oransal-İntegral-Türevsel (PID) kontrol yöntemikullanılan bu çalışmada kontrol parametreleri gözleme dayalı çalışmayla belirlenmiştir. Takip edilmesibeklenen bir yörünge için oluşan hatalar dikkate alınarak bu iki hava aracının performanslarınınkarşılaştırması gerçekleştirilmiştir. Karşılaştırma sonuçları sayısal olarak sunulmuştur. Elde edilensonuçlara göre, sekiz rotorlu hava aracının altı rotorlu olana göre bozucu etki arttıkça daha kararlı bir uçuşsergilediği gözlemlenmiştir.
Victimisation from intimate partner rape in Uganda: Sex differences, psychological concomitants, and the effect of educational level
Authors: Nakyazze Brendah , Österman Karin , Björkqvist Kaj
Published: August 2020

Objective:  The aim of the study was to investigate victimization from intimate partner rape (IPR) in Uganda among both women and men, the effect of educational level, and psychological concomitants.

Method: A questionnaire was completed by 609 females and 420 males in Uganda. The mean age was 31.5 (SD 10.9) for females and 34.4 (SD 11.3) for males.

Results: Females reported significantly higher frequencies of victimization from IPR than males. Respondents with no education reported significantly higher frequencies of victimization than others. Respondents who had been more than average victimized from IPR scored significantly higher on depression and anxiety and had significantly lower self-esteem than others. Females who had been victimized more than average scored significantly lower on self-esteem than the other groups.

Conclusions: Not only females but also males were found to have been victimized from IPR. Victimization was linked to increased levels of negative psychological concomitants in both females and males.
Conhecimento de enfermeiros acerca da diabetes mellitus gestacional
Authors: da Silva Santos Elaine , Ferreira Filgueiras Thaynara , Alves de Carvalho Michele , Fernandes Abel Mangueira Francisco , Letí­cia de Queiroz Xavier Bárbara , Soares Amanda
Published: September 2020

Relatar o conhecimento de enfermeiros acerca da diabetes mellitus gestacional. Trata-se de uma pesquisa de campo descritiva com abordagem qualitativa realizado com enfermeiros cadastrados na estratégia de saúde da famí­lia em um distrito sanitário de cidade paraibana. A coleta de dados foi realizada nos meses de setembro a outubro de 2019 com 18 enfermeiros. Os dados foram organizados por categorias temáticas resultantes da junção de todas as falas coletadas e separadas por unidade de sentido. As categorias temáticas apresentadas na discussão foram "identificação da diabetes mellitus gestacional"; "acompanhamento x encaminhamento"; "comportamentos de risco"; "muitas não podem seguir porque não tem condições financeiras". O entendimento dos enfermeiros sobre as consequências ocasionadas pelo diabetes gestacional é significante, pois interfere na qualidade da assistência ofertada. Foi evidente a necessidade de cuidado diferenciado a gestante com base no fator sócio situacional.
Caracterização epidemiológica e sociodemográfica de acidentes de trânsito: uma revisão integrativa da literatura
Authors: Nakayama Albertini Ana Beatriz , Vieira Garcia Taí­sa , De Paulo Luiz Gustavo , Rodrigues da Silva Toledo Erika , Bossolani Charlo Patrí­cia , Da Silva Marcelo
Published: September 2020

Objetivou-se caracterizar o perfil sociodemográfico e epidemiológico das ví­timas de acidentes de trânsito no Brasil. Método: Revisão Integrativa, realizada nas estratégias de busca SciELO Brasil – (Scientific Electronic Library Online), LILACS (Centro Latino-Americano de Informação em Saúde) e nas universidades brasileiras. Critérios de inclusão: artigos que apresentavam especificidade com o tema, que contivessem os descritores selecionados, publicados entre 2011 e 2019. E os de exclusão: artigos que não contemplavam os objetivos e anteriores a 2011. Resultados: De 52 artigos, restaram 20 como amostra final. Identificou-se que a maioria das ví­timas são homens adultos jovens pertencentes a classe baixa, das regiões Nordeste e Norte e usuários de motocicleta. Os acidentes ocorrem mais comumente nos finais de semana e no perí­odo noturno, sendo a colisão frontal mais recorrente. Entre as principais causas está o fator humano. Conclusão: mediante esses resultados, pode-se afirmar a necessidade de melhorias na legislação e fiscalização do trânsito brasileiro.
Assistência de enfermagem a pessoas com transtorno mental no hospital geral: desafios do cuidado especializado
Authors: Peters Angela Aparecida , Da Silva Jeremias Juliana , Fernandes Tarma Cordeiro Gisele , Bicalho de Almeida Brugger Érika , Almeida da Costa Rita de Cássia , Assis Giselle de Paula , Coimbra de Oliveira Ernani
Published: September 2020

Objetivo: Analisar a percepção e os desafios concebidos pela equipe de enfermagem, no atendimento especializado a pessoa com transtorno mental, no âmbito hospitalar. Metodologia: Estudo de campo do tipo descritivo-exploratório com abordagem da perspectiva qualitativa de produção e análise de dados. Resultados: Emergiram duas categorias temáticas: a) Percepção da equipe de enfermagem em relação í  pessoa com transtorno mental no âmbito hospitalar b) Desafios da enfermagem para assistir a pessoa com transtorno mental. O estudo desvela os desafios que os profissionais de enfermagem encontram para assistir os pacientes com transtornos mentais no hospital geral, ainda que compreendam que essas pessoas são passí­veis de agressão, reconhecem que através das práticas alicerçadas na abordagem humanizada, é possí­vel promover relações de confiança e respeito í  subjetividade de cada indiví­duo, resultando na promoção de autonomia dos indiví­duos envolvidos no processo de cuidado. Conclusão: A partir destas reflexões, observa-se a importância do estabelecimento de ví­nculo capaz de estimular a confiança entre os profissionais de enfermagem e pacientes, proporcionando a ampliação das práticas psicossociais.
Fatores de risco para amputação em ví­timas de acidentes de trânsito
Authors: Carvalho Farias Felipe , Domingos de Araújo Sousa Tarcí­sia , Mendes Morato Jéssica Emanuela , Sonja Oliveira de Oliveira Maria , Bezerra da Silva Roberto , da Mata Vasconcelos Silva Fernanda , Batista Ferreira e Pereira Emanuela
Published: September 2020

Objetivo: Analisar os fatores de risco para amputação traumática em ví­timas de acidentes de trânsito. Metodologia: Trata-se de um estudo epidemiológico, retrospectivo, descritivo e analí­tico, com abordagem quantitativa, realizado num hospital quaternário de referência em traumas, na cidade de Recife-PE. A população foi composta por indiví­duos ví­timas de acidentes de trânsito, internadas no setor de traumatologia adulto e submetidos í  cirurgia de amputação. A amostra não probabilí­stica, por conveniência foi composta por 70 pacientes submetidos í  cirurgia de amputação durante o perí­odo de julho de 2014 a junho de 2018. Resultados: A maioria era do sexo masculino (82,9%); na faixa etária de 18 a 39 anos (62,9%); solteiro (60%), o tipo de acidente mais frequente foi a queda de moto com 34,3%; 60% era o condutor e 27,1% pedestre; 11,4% não utilizava equipamento de segurança; e 11,4% fizeram uso de bebida alcóolica. As lesões de natureza mais frequente corresponderam a traumatismos múltiplos (48,6%); 42,8% ficaram internados menos de 30 dias (42,8%); 14,3% foram internados na UTI e permaneceram de 1 a 84 dias; o tipo de amputação mais frequente (57,1%) foi a transfemoral, 27,1% transtibial e os demais 15,7% foram de outros tipos. Conclusão: Os achados do estudo no que concerne aos fatores de risco para amputação traumática não mostraram associação significativa, mas contribuem para investigar os fatores de risco para amputação em um serviço de referência de alta complexidade.