bluuebunny/crossref_metadata_2025 huggingface dataset:
Advanced Air Conditioning using Thermal Imaging and Occupancy Detection
Authors:   Electronics and communication department, SRM IST Ramapuram, Chennai, India., Rajesvari* M. , Mohanakrishnan R ,   Electronics and communication department, SRM IST Ramapuram, Chennai, India, Dutta Purushottom ,   Electronics and communication department, SRM IST Ramapuram, Chennai, India., Sohel Arindam ,   Electronics and communication department, SRM IST Ramapuram, Chennai, India., Chaudhury Abhinab Dutta ,   Electronics and communication department, SRM IST Ramapuram, Chennai, India.
Published: May 2020

The body temperature of humans differs from one person to another, and therefore it becomes difficult to set the optimal temperature of the room. The total room temperature depends on the number of persons present and their body temperatures. The occupancy detection of a room and determining its temperature are dependent on each other. In this paper, A novel approach for determining the room temperature along with occupancy detection and correspondingly giving the input to air-conditioner is discussed. This paper would also provide a solution to determine the number of persons that can leave a room to ensure less congregation of corridors. For getting a definitive body temperature of individuals, we will be using the MLX90640 module, which produces a thermal image and makes it possible for the extraction of temperature data. PIR sensors are used for occupancy detection purposes and an ultrasonic sensor for the congregation problem. These are both implemented using Arduino IDE, whereas raspberry pi handles the temperature data. Finally, using the mean temperature data, the temperature of the air conditioner will be set.
Face Recognition by Reconstructing A 2.5 D Face using Photometric Stereo
Authors:   Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India., Jaint* Bhavnesh , Maheshwari Shivam ,   Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India., Agarwal Sushant ,   Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India, Singh Sampada ,   Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India
Published: May 2020

Face recognition is an important application of image analysis and it has received a lot of interest in the last decade. There is a critical need for a reliable identification system. As of now, face recognition is not reliable enough in the majority of security applications, therefore a low cost, accurate, and viable identification method are required for face recognition. Two dimensional (2D) face recognition systems that are already existing are often not reliable. Three dimensional (3D) face recognition systems produce more accurate and robust than 2D systems but they are very costly due to large scanning and coded light and also consume a lot of time in the recognition process. This paper aims to produce a low-cost 3D face recognition system (2.5D) using photometric stereo which is less explored in face recognition systems. The capabilities of photometric stereo for use in face recognition are evaluated using a number of experiments conducted using the photometric stereo system and it is implemented and shown to be better than our traditional 2D systems. This system is aimed to solve a number of issues we see in face recognition systems like illumination, distance from the camera and pose and thus, it could be a useful application for biometric authentications in homes, governmental organizations and financial institutions
Development of a Novel Optical Fiber Hydrophone Sensor for Marine Applications
Authors:   Research Scholar, Department of ECE, K S School of Engineering and Management, Bengaluru, India., D K* Manu , Karthik P ,   Professor, Department of ECE, K S School of Engineering and Management, Bengaluru, Karnataka, India.
Published: May 2020

A critical area of research is to improve the sensitivity of the mandrel and to identify the target. In our earlier work, we have simulated our design using ANSYS tool and calculated the sensitivity of the mandrel. In this paper, we have two phases of work, one is the continuation of the previous work, the design has been finalized the design for higher sensitivity and the same design has been fabricated and the various steps of fabrication process involved in developing the hydrophone is shown. In the second phase of the work, signal analysis has been carried out using MATLAB. From the obtained results the behavior of the signal for the detection and finding the source target using sound waves has been done.
Co-Doped LaMnO3 Perovskite Structure Nanoparticles as a Bifunctional Electrocatalysts for Oxygen Reduction/Evolution Reactions
Authors:   Department of Advanced Materials Engineering, Kongju National University, Cheonan-si, Chungnam 31080, Republic of Korea, Rafi* Shaik Mahammad , Kwon Yong Min ,   Department of Advanced Materials Engineering, Kongju National University, Cheonan-si, Chungnam 31080, Republic of Korea, Lim An Seop ,   Department of Advanced Materials Engineering, Kongju National University, Cheonan-si, Chungnam 31080, Republic of Korea
Published: May 2020

Current paper, we have examined lanthanum manganese cobalt (LaMn1-xCoxO3) perovskite nanoparticles synthesized by utilizing the sol-gel process and following calcinated at 450 °C for 1h and 900 °C for 7h, respectively. The fabricated alloys show single-phase perovskite structure is an order of LaMn1-xCoxO3 (x = 0, 0.2, 0.4, 0.6, 0.8, 1). The synthesized LaMn1-xCoxO3 perovskite oxide nanoparticles have the crystal structure, and powder morphology properties were investigated by X-ray diffraction (XRD), and field emission scanning electron microscopy (FESEM), respectively. The perovskite structure has been shown to be particularly effective for the catalytic reactions of ORR and OER in alkaline medium. The merged valance transition metal oxides are bifunctional electrocatalysts which give rise to potential candidates, the electrochemical functioning of the LaMn1-xCoxO3 catalyst was entirely investigated. All compounds of ORR polarization curves show that the four-electron pathway, which results in Koutecky-Levich is compatible with these perovskite structures. Current work, we describe B-site extend adding of Co ratio into perovskite structure is an appropriate strategy to increase ORR and OER electrocatalytic performance for application in metal-air batteries.
Using Artificial Intelligence Algorithms for Speech Therapy Systems
Authors:   Computer systems department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan, Ulugbek* Berdanov , Ilyos Khujayorov ,   Computer systems department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan., Kamola Abdurashidova ,   Computer systems department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan., Khusniya Salimova ,   Computer systems department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan., Dilobar Musadjanova ,   Computer systems department, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
Published: May 2020

This article analyzes the algorithms used to process speech signals. A structure for processing Uzbek speech signals has been proposed. Based on this structure, the effectiveness of recognizing Uzbek speech sounds, syllables and words was evaluated on the basis of intellectual algorithms. Based on the evaluated indicators, the structure of neural networks that recognize children's speech pronunciation was developed. Recognition indicators of children’s speech sounds, syllables, and words were identified.
Digital Video Forgery, Detection and Authentication Techniques
Authors:   Designation-Asst.Prof.,Department- Computer ScienceName of the Institute- Govt.College Hoshiarpur,Punjab, Singh* Dr.Jaswinder
Published: May 2020

We are living in the era of multimedia technology. Digital video occupies an imperative role in our daily life. With the use of omnipresent multimedia technology, we can create process, transmit and store digital information in many forms such as an image, audio and video. Digital video is convenient tool in forensic investigation, medical treatment, education, entertainment and other disparate fields. Videos are recorded by the people with their smart phones, camcorders, digital cameras and CCTV cameras. We have seen the rapid growth and development in the use of surveillance cameras. Videos recorded using these electronic and smart gadgets mostly contain crucial proof of most of the events. Inasmuch, the most affected to inter frame forgery which can be freely done by replication, insertion, removal and deletion of frames. However, the advancement and usage of inexpensive and effortless video editor software there has been tremendous growth in the consequences and risks of usage such editing techniques. Therefore, forgery is a technique of getting altered, fake and duplicate videos by joining, altering new video. Hence, the genuineness of such digital videos questionable and requires to be verified. In this paper review various video forgery detection methods those are applied to detect whether the video is original or duplicate, real or fake and digital video authentication techniques.
Water Level Monitoring System with Vertical Farming using IoT
Authors:   Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India., Rao Gauri , Kumar* Ankur ,   Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India., Singh Raghavendra Narayan ,   Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India., Singh Tathagat Pratap ,   Department of Computer Engineering, Bharati Vidyapeeth Deemed to be University College of Engineering, Pune, India.
Published: May 2020

The field Internet of Things has become one of the most important technologies of the century. The reason behind the rapid growth of this technology is the ability to connect and transfer data over a network without requiring human to human or human to computer interaction. In the proposed system which is based on IoT, is a fully automated system which can be used as a monitoring system for water level in the overhead tank and also for monitoring various parameters required for better and healthy growth of the crops such as the intensity of light in the cabin, moisture of the soil in vertical farming module, etc. This system can be used as monitoring system within home or workplace to keep a track on the parameters. With the use of various sensors, the system monitors various parameters dynamically. The provided values from various sensors are analyzed by Raspberry pi and accordingly the action was taken with the help of various actuators. The proposed system can be use used in agriculture because in the field of Agriculture, it is very important to monitor various key growing conditions that plants require such as temperature, light, water, etc. Along with all this we also need to have a major concern about the monitoring of water in the upper head water tank to minimize the water wastage due to over flow. Monitoring these isn’t possible manually because of the human unreliability and inaccuracy.
Heart Beat Rate Monitoring using GSM Technology
Authors:   School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India., Maharana* Sudhansu Kumar , Rout Ghanashyam ,   School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India., Chakraborti Satyaki ,   School of Electronics Engineering, KIIT Deemed to be university, Bhubaneswar, India., Mohanty Madhab Jyoti ,   School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India., Mohanty Stittik ,   School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar, India.
Published: May 2020

Heart-related problems and parameters are very much important to human beings. With the gradual technological advances, it made easier for the people to capture and monitor changes in their health parameters irrespective of time and location. Atrial fibrillation is one of the most common diseases and at times can be deadly too. Detection and verification of atrial fibrillation can be done by checking the variation in the period of heart rate, if a patient has this disease then the period between each heartbeat will vary. With the increase in the population and the rise of healthcare costs, plenty of people will suffer worldwide due to lack of thorough monitoring of the patients and the inability to pay the bills. This has increased the demand for affordable quality healthcare from remote locations with the periodical inspection by the hygiene officer through GSM technology. Technological advancements in the field of hardware resulted in the depreciation of cost and most importantly reduced the communication gap between the patient and the medical personnel. In this paper, the capability for alarm systems with SMS and MATLAB is implemented as optimization techniques to reduce error and perform real-time monitoring of the patient properly.
Human Action Recognition using STIP Techniques
Authors:   Research Scholar, Department of Electronics and Instrumentation Engineeing, Malnad College of Engineering, Hassan, Karnataka, India., U* Mr. Mahanthesha , Mohana Dr H S ,   Vice Principal, Professor & Head, Department of Electronics and Communication Engineering, Navkis College of Engineering, Hassan, Karnataka, India.
Published: May 2020

The activities of human can be classified into human actions, interactions, object- human interactions and group actions. The recognition of actions in the input video is very much useful in computer vision technology. This system gives application to develop a model that can detect and recognize the actions. The variety of HAR applications are Surveillance environment systems, healthcare systems, Military, patient monitoring systems (PMS), etc., that involve interactions between electronic devices such as human-computer interfaces with persons. Initially collected the videos containing actions or interactions were performed by the humans. The given input videos were converted into number of frames and then these frames were undergone preprocessing stage using by applying median filter. The median filter identifies the noises present in the frame and then which replaces the noise by the median of the neighboring pixels. Through frames desired features were extracted. The recognize of action present in the person of the video using these extracted features. There are three spatial temporal interest point (STIP) techniques such as Harris SPIT, Gabour SPIT and HOG SPIT were used for feature extraction from video frames. SVM algorithm is applied for classifying the extracted feature. The action recognition is based on the colored label identified by classifier. The system performance is measured by calculating the classifier performance which is the Accuracy, Sensitivity and Specificity. The accuracy represents the classifier reliability. The specificity and sensitivity represents how exactly the classifier categorizes it’s features to each correct category and how the classifier rejects the features that are not belonging to the particular correct category.
Experimental Research on Glass Fiber Reinforced Concrete Beam using Foundry Sand
Authors:   II-year student, M.E Structural Engineering, PSNA College of Engineering and Technology, Dindigul, India., E* Naveena , S Deepa ,   Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India., M Ashokpandian ,   Assistant Professor, Department of Civil Engineering, PSNA College of Engineering and Technology, Dindigul, India.
Published: May 2020

Todays concrete has a various chemical and mineral admixture to arrange the rising demands for constructability, service life and performance. This project work intends to investigate the possibility of producing low cost enhanced performance concrete by foundry sand. The compressive, tensile and flexural strength of various proportional concrete is compared with the conventional concrete. The present research work is aimed at studying the effect of the physical and chemical properties of foundry sand in M20 grade concrete. Based on previous literature which was 0 percentage without foundry sand and glass FIBRE that is control mix. 10, 20 and 30 % of foundry sand and 0.2,0.4 and 0.6 % of glass FIBRE on weight basis are considered for the present study. Along with this conplast sp430 is added as a superplasticizer. The main objective is to assess the impact of using foundry sand as partial replacement for fine aggregates and glass FIBRE as admixture in fresh and hardened properties of concrete along with the studies on mechanical properties.
A New Direct Node Data Splitting Technique in Decision Tree Induction
Authors:   Department of Computer Science, Dravidian University, Kuppam, India., Mabuni* D.
Published: May 2020

Learning knowledge from the example data and then applying that knowledge on new applications is the goal of machine learning. Split attribute technique is inseparable and an important means of decision tree construction technique. It is a well known fact and universally accepted truth that a difficult and larger data mining model tends to create less significant generalized performance results. Researchers are being continuously trying to find new and the best split attribute techniques during decision tree induction. In this paper a new direct split attribute technique for decision tree induction is proposed based on the mathematical A implies B tautology principle. The experimental results show that this rule is worthy and useful in many real world applications, particularly in medical field. The resulted association relationships are perfectly matching with the expected results.
Influence of Stone Quarry Dust and Jute Fibre on the Mechanical Properties of Concrete
Authors:   Master’s Degree , Structural Engineering from Chandigarh University (CU), Mohali, Punjab, India., Kotla* Rohit , Kumar Vijay ,   Assistant Professor, Chandigarh University, Mohali, Punjab.
Published: May 2020

In the present era, concrete is one of the extensively used construction materials. Enormous efforts are made to improve the tensile strength of concrete due to its weakness in tension. In this paper, an attempt is made to enhance the tensile strength of concrete by introducing jute fiber in concrete. Waste from the crushing plants is used as a replacement of fine aggregates to achieve good compressive strength and jute fiber is added to enhance tensile strength. The length of the jute fiber used is 25mm and the percentage taken was 0.25%, 0.5% and 0.75% of the volume of concrete. Stone quarry dust is replaced as 10%, 20%, 30% and 40% of the weight of fine aggregates. The compressive test split tensile test and the flexural test is performed at 7, 14 and 28 days by casting cubes, cylinders, and beams for the respective tests. Experimental test under a controlled environment revealed that stone quarry dust raised 13% compressive strength at 28 days and jute fiber raised 21.15% tensile strength at 28 days. Further investigation is carried out by introducing both stone quarry dust and jute fiber into the concrete and optimal results are discussed. Final test exposed that amalgamation of jute fiber and stone quarry dust imposed a positive impact on compressive, split tensile and flexural strength of concrete.
IOT based Home Automation using Raspberry pi
Authors:   Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India., Rao* G Manmadha , Ch Sirisha P Sonia ,   Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India., Vandana M ,   M V S Teja, Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India., Srinivas P. Durga ,   Dept. of Electronics and Communication Engineering,Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, AndhraPradesh, India.
Published: May 2020

Automation is the process of monitoring the home that can transform the home from being manual and static to a smart and dynamic one [1]. Life is getting simpler and more comfortable in all spheres with the use of technology and innovation. This paper proposes the Internet of Things (IoT) based home automation using raspberry pi 3 b. This system consists of a smart phone with a mobile application called Blynk which is having home appliances details with switches to ON and OFF the home appliances. We also included Garden irrigation and Gas detection system for less human effort, more convenience and more comfortable to the user for complete home automation. We used MQ-2 gas sensors for gas leakage detection and FC-28 for garden irrigation. In this paper home appliances are controlled through Wi-Fi technology [2].
Potential of PHA Accumulation in Escherichia Coli, Bacillus Subtilis and Pseudomonas Aeruginosa Cultured on Agro-Industrial Byproducts
Authors:   Dept of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, India, Antony Elavinal Aksa , Jacob* Anu ,   Dept of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore, India
Published: May 2020

Polyhydroxyalkanoates (PHAs) are type of natural polymers which are synthesized by different microorganisms to increase their survival rate during environmental change or stress conditions. The biodegradable polymers are an alternative solution to non-renewable petroleum derived plastics. The aim of this study is to produce PHAs by Escherichia coli, Bacillus subtilis and Pseudomonas aeruginosa using agro and industrial waste such as wheat bran and cane molasses. In this work, the effect of different media on each bacterium was studied. The optimum environmental condition that supported the PHA production by the three strains was inoculum concentration of 8%, pH 7.0 and temperature of 30°C. The medium was fermented for five days in orbital shaker. Each day samples were collected and analyzed. Dry cell weight and PHA accumulated was observed for each of the bacteria. On the basis of data obtained in the present work, compared to B. subtilis and E. coli, P. aeruginosa was capable to accumulate 70.27% of PHA by using Cane molasses and Wheat bran as substrate. This could be employed for industrial application after subsequent optimization of the conditions of PHA synthesis. The present study explored the potential of Pseudomonas aeruginosa to produce cost-effective PHA as an alternative to petroleum based plastics.
894 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: G5717059720/2020©BEIESP DOI: 10.35940/ijitee.G5717.059720 Journal Website: www.ijitee.org Electrical Resistivity, Thermoelectric Power and I-V Characteristics of Sb-Se Thin Films at Different Compositions.
Authors:   Dept. of Electronic Science, L.V.H. Art’s, Science & Commerce College, Panchavati, Nashik-422003 (M.S.), India., Shinde* U. P. , Gosavi R. S. ,   Dept. of Electronic Science, Art’s, Science & Commerce College, Rahuri, Dist. Ahmednagar- 413705 (M.S.), India
Published: May 2020

Sb-Se thin films of varying composition have been deposited on glass substrates at room temperature. These films were annealed at temperature interval of 50 0K. The electrical resistivity (ρ) and thermoelectric power (α) of same films were measured. The resistance of semiconducting films decreases rapidly on heating showing negative temperature coefficient of resistance (T.C.R.). The composition dependent resistivity shows exponential change, sharp fall of resistivity may be attributed due to increase of metallic ‘Sb’ in Sb-Se thin films. The composition dependent activation energy of Sb-Se thin films has been calculated. The activation energy (ΔE) of semiconducting films was found to increase with selenium concentration. For different compositions thermoelectric power (α) increases upto 70 at. wt.% of Se concentration and then slowly decreases. The I-V characteristics of Sb-Se thin films were measured using copper (Cu) contacts. The films show ohmic conduction for different applied voltages as well as various concentrations of Selenium (Se) in Sb-Se thin films.
CEMACO: An Innovation to Increase Customer Engagement through Mobile Application
Authors:   Master of Technology in Computer Science and Engineering Shri. Ramdeobaba College of Engineering and Management, Gittikhadan Nagpur, Maharashtra, India., Kokate* Anuradha V. , Chandak Dr. M. B. ,   Professor and Head Department of Computer Science and Engineering Shri. Ramdeobaba College of Engineering and Management, Gittikhadan Nagpur, Maharashtra, India., Kochar Mr. Abhay ,   Founder and CEO, WebGile Solution, Mihan, Nagpur, Maharashtra, India.
Published: May 2020

New improvements in online business and m-trade advances alongside the wide reception of cell phones and internet-based life have empowered organizations to upgrade clients' shopping encounters and their association with brands whenever, anyplace. In a lively business condition, organizations distinguish the force and centrality of the web to intrigue clients' consideration. Client communications with an association's application make open doors for positive encounters that can prompt long‐term relationship building. The space of client experience (CE) is all around created in the face‐to‐face setting, yet little consideration has been paid to investigating the idea in the online setting. Client commitment and maintenance of retail marks are critical. Holding and drawing in with clients assist brands with keeping them cheerful, remain faithful, and in the know regarding fresh debuts, most recent advancements, and item suggestions. We have gathered a requirement of more than 200 customers by conducting a series of surveys and after understanding the exact requirement of the people living in Guatemala, we have initiated our project of making an app to increase the engagement level. We have designed this application in ionic using MySQL database and to enhance the level of engagement through its design we used SCSS as the language to give style to the application. This application is integrated with WhatsApp to provide better customer support. The application is designed in the Spanish language to make it easy to use for the people living in Guatemala. This app is fully gamified with all the possible missions’ customers can complete easily which also boosts customer engagement by 200%. Hence, This Customer Engagement application will be used to attract customers and engage them on the app by giving them discounts, offers, coupons, and points after successful completion of tasks which drastically improves the conversion rate of the customer for any kind of business in Guatemala.
Water Flow Detection and Nutrient Level Analysis of a Coconut Tree
Authors:   Assistant Professor, Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Vani* Mrs. P. Suvitha , Sasikala P. ,   UG Students Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Raj V. ,   UG Students Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore, Sushmitha K. ,   UG Students Department of Computer Science and Engineering, Sri Shakthi Institute of Engineering and Technology, Coimbatore
Published: May 2020

Agriculture plays a major role in the development of a nation. The basic aim of agriculture is to help the human in the development of their growth by supplying energy rich crops by improving the soil and water supply. Securing agriculture is really a difficult task in today’s world. An increase in population increases the contamination of healthy food and water. To ensure better crop production and to minimize over utilization of water in a coconut tree, nutrient level analysis and smart water management system has been established. The use of sensors such as moisture sensor, flow sensor, Ph sensor helps in detecting moisture content of the soil and flow of water through the pipe and acidity level of the soil. A machine learning algorithm is proposed to predict the occurrence of a button shedding diseases in a coconut tree by observing the acidity level and moisture content of the soil. The motor is also attached with the flow sensors to observe the flow of water and to avoid overflow of water. Our project aims in the use of smart water management system to use the available water resources effectively. The main aim of our project is to increase the crop yield in a coconut tree and to avoid over contamination of water to agricultural fields.
Improvement of Small Signal Stability of SMIB System with Optimized Power System Stabilizer
Authors:   EEE, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, A.P., India., Raghuvamsi* Mr. Y. , Abdul Mr. Imran ,   EEE, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, A.P., India., Rajesh Mr. Ch. ,   EEE, Lakireddy Bali Reddy College of Engineering (A), Mylavaram, A.P., India.
Published: May 2020

As electrical power system is a complex system, there are more chances of stability issues may arise. One of the stability issues is Low Frequency Oscillations (LFOs) which makes the system unstable. As these oscillations are having low frequency i.e. large time constant with slowly increasing magnitude, they are referred to small signal stability. The main reason of these oscillations is due to lack of sufficient damping torque. Automatic Voltage Regulator (AVR) action in generator is providing sufficient synchronizing torque for system stability. This is possible with high gain and low time constant AVR which results in reduction of damping torque. Power System Stabilizer (PSS) is used together with AVR for providing necessary damping torque to minimize the LFOs. For effective damping, the PSS performance is improved by optimizing its parameters. In this paper, Single Machine Infinite Bus (SMIB) system is considered for studying the effect of LFOs. The SMIB system is simulated for a step disturbance in reference voltage and the results are carried out for different optimizing techniques Particle Swarm Optimization (PSO), Cat Swarm Optimization (CSO), Teaching and Learning based Optimization (TLBO).
Heart Rate Variability: Rescaling and Normalization
Authors:   School of Software, Hallym University, Chuncheon-si, Gangwon-do, South Korea., Ahn* Jse Mok
Published: May 2020

Heart rate variability (HRV) is a useful measure to evaluate activity of the autonomic nervous system (ANS) and monitor both pathological and psychological conditions. However, HRV analysis still has difficulties with changes in HRV parameters due to an increase or decrease in the average heart rate. At present, the interpretation of the average changes in HRV datasets and their HRV parameters is not fully understood. Therefore, this study aimed to analyze how much deviation in HRV parameters occurs from rescaling tachograms and normalizing HRV datasets. Four rescaled tachograms and their corresponding normalized HRV datasets were created by increasing the average heartbeat from 50 to 110 bpm in 20 bpm steps. The difference in low frequency powers (Ln LFs) calculated between two successive rescaled groups was 0.89, 1.03, and 1.04, as the average heartbeat increased from slow to fast, while the difference in high frequency powers (Ln HFs) was 1.06, 1.53, and 1.37. However, in the four normalized HRV datasets, the difference in Ln LFs and Ln HFs between two successive normalized groups was -0.28 and -0.12, 0.31 and 0.27, and 0.31 and 0.37, respectively. The results suggest that the normalized HRV datasets are more valuable than the individual rescaled-tachogram HRV dataset for obtaining measurements using frequency-domain HRV parameters for HRV analysis in clinical applications.
САМООБРАЗОВАНИЕ КАК ВАЖНЫЙ КОМПОНЕНТ В ПРОФЕССИОНАЛЬНОМ ИЗУЧЕНИИ АНГЛИЙСКОГО ЯЗЫКА В МЕДИЦИНСКОМ ВУЗЕ
Authors: LUTFULLAYEVA Khulkar
Published: May 2020

В статье раскрывается роль и направленность самостоятельной самообразовательной деятельности студентов медицинских вузов в соответствии с требованиями непрерывного образования и профессией медика. В большинстве научных исследований по проблеме развития самостоятельности обучающихся подчеркивается, что при больших возможностях самообразовательной и самореализующей деятельности их потенциал как социально-педагогического феномена слабо изучен и в полной мере не реализован. Исходя из приведенных данных, правомерно утверждать, что практически отсутствует целостное теоретическое обоснование и практическое подтверждение потенциальных возможностей самообразовательной деятельности студентов высшей школы, отвечающих новым потребностям модернизации системы профессионального образования в стране. Таким образом, очевидна необходимость теоретического обоснования и практического разрешения проблемы развития самообразования студентов как важного компонента их профессиональной подготовки. На первом этапе исследования, в течение которого анализировалась научная и методическая литература по проблеме, осуществлялось первоначальное ознакомление с учебным процессом базовых вузов, их культурно-образовательной средой, формировалось представление о контингенте студентов, была намечена примерная модель формирования навыков самообразовательной деятельности студентов, состоящая из таких основополагающих компонентов, как этапы, критерии и блоки развития искомых умений и качеств студентов.
Дан анализ современного содержания самостоятельной деятельности будущих медиков, блоки педагогической модели формирования навыков самообразовательной деятельности студентов и выдвинуты гипотетические компоненты педагогической системы формирования навыков самостоятельной работы студентов.
Deep learning based diagnosis of COVID-19 using chest CT-scan images
Authors: Anwar Talha , Zakir Seemab
Published: May 2020

The Coronavirus disease (COVID-19) is an infectious disease that primarily affects lungs. This virus has spread in almost every continent. Countries are racing to slow down the spread by testing and treating patients. To diagnose the infected people, reverse transcription-polymerase chain reaction (RT-PCR) test is used. Because of colossal demand; PCR kits are under shortage, and to overcome this; radiographic techniques such as X-rays and CT-scan can be used for diagnostic purpose. In this paper, deep learning technology is used to diagnose COVID-19 in subjects through chest CT-scan. EfficientNet deep learning architecture is used for timely and accurate detection of coronavirus with an accuracy 0.897, F1 score 0.896, and AUC 0.895. Three different learning rate strategies are used, such as reducing the learning rate when model performance stops increasing (reduce on plateau), cyclic learning rate, and constant learning rate. Reduce on plateau strategy achieved F1-score of 0.9, cyclic learning rate and constant learning rate resulted in F1-score of 0.86 and 0.82, respectively. Implementation is available at github.com/talhaanwarch/Corona\_Virus/tree/master/CT\_scan
A Logical Operator Oriented Face Retrieval Approach: How to Identify a Suspect Using Partial Photo Information from Different Persons?
Authors: Cheung Yiu-ming , Hu Zhikai
Published: May 2020

Facial sketch recognition is one of the most commonly used method to identify a suspect when only witnesses are available, which, however, usually leads to four gaps, i.e. memory gap, communication gap, description-sketch gap, and sketch-image gap. These gaps limit its application in practice to some extent. To circumvent these gaps, this paper therefore focus on the problem: how to identify a suspect using partial photo information from different persons. Accordingly, we propose a new Logical Operation Oriented Face Retrieval (LOOFR) approach provided that partial information extracted from several different persons' photos is available. The LOOFR defines the new AND and OR operators on these partial information. For example, " eyes of person A AND mouth of person B" means retrieving the target person whose eyes and mouth are similar to that of person A and person B respectively, while "eyes of person A OR eyes of person B" means retrieving target person whose eyes are similar to both person A and B. Evidently, these logical operators cannot be directly implemented by INTERSECTION and UNION in set operations. Meanwhile, they are better for human understanding than set operators. Subsequently, we propose a two-stage LOOFR approach, in which the representations of partial information are learned in the first stage while the logical operations are processed in the second stage. As a result, the target photo of a suspect can be retrieved. Experiments show its promising results.
MENOPAUSAL SYMPTOMS AND FISH CONSUMPTION OF MENOPAUSAL WOMEN IN THE COASTAL AREAS OF SOUTHEAST SULAWESI, INDONESIA
Authors: Saimin Juminten , Ridwan Steven , Yohanis Mono Valentino , Lianawati Lianawati , Arimaswati Arimaswati , Hamliati Hamliati
Published: May 2020

Background: Menopausal symptoms are common problem in menopausal women. The severity of menopausal symptoms is influenced by the interaction of biological, genetic and nutritional factors.Objective: This study aimed to determine correlation between menopausal symptoms and fish consumption of postmenopausal women in the coastal areas.Method: This was a cross-sectional study conducted on 234 postmenopausal women in the coastal areas of Southeast Sulawesi. Severity of menopausal symptoms was assessed using Menopause Rating Scale (MRS). Quantity of fish consumption was calculated using 24-hour recall questionnaires. Frequency of fish consumption was evaluated using Food Frequency Questionnaires (FFQ). Data analysis used Chi-square test with a significance value of p=0.05.Results: The majority of fish consumption was sufficient in quantity (81.6%) and frequency (95.3%). Menopausal symptoms are found to be very mild (14.1%), mild (36.3%), moderate (38.5%), and severe (11.1%). There was a correlation between menopausal symptoms and the quantity of fish consumption (p=0.000), and between menopausal symptoms and the frequency of fish consumption (p=0.000).  Conclusion: There was a correlation between menopausal symptoms and fish consumption of postmenopausal women, both in the quantity and frequency. Therefore, increasing the quantity and frequency of fish consumption will reduce the severity of menopausal symptoms.
Limitation du colmatage dans un bioréacteur à membranes à l’échelle semi-industrielle : modélisation et caractérisation de l’hydrodynamique
Authors: SUARD E. , FAYOLLE Y. , CLÉMENT R. , ROCHER V. , ALLIET M. , ALBASI C. , GILLOT S.
Published: May 2020

Les bioréacteurs à membranes se sont largement développés ces dernières années en assainissement des eaux résiduaires urbaines. Malgré les avantages du procédé, le colmatage des membranes engendre des contraintes économiques liées aux coûts énergétiques et au remplacement prématuré des membranes. Différentes stratégies de limitation du colmatage sont mises en place, dont l’aération séquencée des membranes à l’aide de grosses bulles. Cependant, les mécanismes d’action de cette aération et l’hydrodynamique des réacteurs restent relativement méconnus, en particulier à l’échelle industrielle et en présence de boues. Un pilote semi-industriel de filtration membranaire a été conçu et installé sur l’unité de traitement des jus de Seine Aval. Ce pilote a permis d’étudier l’impact de l’aération sur les performances de filtration en couplant une analyse statistique (systèmes d’inférence floue) et une caractérisation de l’hydrodynamique du réacteur (tomographie de résistivité électrique). Des chemins préférentiels de passage des bulles ont été observés à faible débit d’air et forte concentration en matières en suspension à l’aide de la tomographie de résistivité électrique. Ces observations fournissent des éléments d’explication aux résultats de l’arbre de décision flou focalisé sur l’analyse de l’impact du débit d’air sur la dérive journalière de perméabilité. La concentration en matières en suspension des boues et la différence de demande chimique en oxygène entre le surnageant des boues et le perméat s’avèrent être les facteurs les plus impactants pour les conditions opératoires testées. Ils traduisent l’efficacité de l’aération, que ce soit en matière de répartition du champ de bulles et/ou de relargage d’éléments colmatants. Ces résultats invitent à considérer la régulation de l’aération en fonction des propriétés des boues dans les procédés industriels.
Особливості регулювання правомірного використання територій об'єктів нерухомої спадщини історичного центру міста Києва
Authors: Ружицька Н. Е. , Сидоренко І. О.
Published: May 2020

Ключовою особливістю розвитку держави на світовому рівні є збереження та охорона історичної спадщини. Державне регулювання щодо цього питання в Україні на сьогодні потребує узгодження чинного законодавства про охорону культурної спадщини з міжнародно-правовими стандартами, аналізу та впровадження світового досвіду зі збереження об'єктів нерухомої спадщини та дотримання рекомендацій міжнародних організацій щодо охорони цінних історичних територій у структурі міста. Актуальним є пошук шляхів оптимізації та раціоналізації правового забезпечення державного регулятивного впливу у сфері охорони культурної спадщини. Удосконалення нормативно-правового регулювання сприяє покращенню економічного рівня держави, що водночас, є підґрунтям для раціональної роботи та реалізації функцій державного управління щодо об'єктів історичної нерухомої культурної спадщини. Аналіз сучасного досвіду збереження історичного середовища та формування принципів ревіталізації цінного архітектурно-естетичного історичного ландшафту міста є важливою науковою проблемою, що охоплює як теоретичні, так і практичні особливості розвитку містобудування. Для сучасного стану історичних міст України характерні проблеми, пов'язані зі збереженням об'єктів нерухомої спадщини, що призводить до необхідності удосконалення історико-архітектурної композиції міст та забезпечення неповторності середовища. Об'єкти історичної спадщини періоду раннього та розвиненого Середньовіччя (V-ХХІ ст.) було сформовано в часи, що характеризуються змінами як у глобальному масштабі, так і в окремих містах України. Перетворення у Києві охоплюють політичну, економічну й соціальну сфери суспільного життя, які безперечно впливали на формування інфраструктури міста. Вивчення актуальних підходів до збереження історичних об'єктів, втілення котрих приведе у подальшому до раціонального використання територій та покращення економічного потенціалу, є важливими питаннями розвитку міста. У науковій роботі розгляду підлягають сучасні наукові підходи щодо питань охорони історичного середовища.
,,Ein Text muss tun, was er sagt – er sagt sonst nichts.“ : Erzähltheoretische Studie zur Prosa Harlans
Authors: Petersen Jörg
Published: May 2020

Thomas Harlans veröffentlichtes Werk umfasst ein Theaterstück Ich selbst und kein Engel (1958), Filme Torre Bela (1975), Wundkanal (1984) und Prosa, die Romane Rosa (2000) und Heldenfriedhof (2006), den Prosaband Die Stadt Ys (2007)
sowie den posthum erschienenen Text Veit (2011). Vor allem für seine Prosa sind zwei biografische Aspekte thematisch bestimmend: Der Holocaust und das deswegen schwer belastete Verhältnis zum Vater, Veit Harlan. Der Sohn hat ihm seinen Film Jud Süß nicht
verzeihen können. Das wird im Veit, ein Text in Form eines Briefs an den Vater, noch einmal, also am Ende seines Lebens, Thomas Harlans zentrales Thema, verknüpft mit dem Holocaust, dessen propagandistische Vorbereitung durch den Film der Sohn dem Vater vorhält.
Regional Entrepreneurship Support Infrastructure: Volgograd Region Case Study
Authors: Akimova Olga , Volkov Sergey , Kabanov Vladimir , Ketko Natalia , Kuzlaeva Irina
Published: May 2020

In the paper, the complex analysis of the regional infrastructure of support of technological entrepreneurship of the Volgograd region, based on the statistical data reflecting the activity of enterprise structures is carried out. The scientific relevance of this research is related to the fact that technological entrepreneurship is a new type of enterprise that meets the requirements of the postindustrial period. The functioning of this type of entrepreneurship is based on a high-tech or knowledge-intensive idea, which contributes to the development of the environment. According to the results of the analysis, the main drawbacks of the regional infrastructure of support of technological entrepreneurship of the Volgograd region, which create barriers in the development of technological entrepreneurship. Based on the identified problems, measures have been developed to overcome them.
Transformation of the Paradigm of the Economic Entities Development in Digital Economy
Authors: Shkarlet Serhiy , Dubyna Maksym , Shtyrkhun Khrystyna , Verbivska Liudmyla
Published: May 2020

Global digitization forces modern enterprises to respond to the rapid changes in the external environment and adapt to it. As a result, existing business models are being transformed in the areas of production, promotion, communication, calculations, interaction with partners and consumers. In this context, there is growing scientific interest in exploring theoretical and practical aspects of the economy digitization and its impact on the peculiarities of the economic entities functioning. Features of functioning of classical and digital economic entities on the basis of criterion approach have been investigated, using the following criteria: factors of production, form of business organization, location of workplace, production outcome, economic processes, connection with on-demand economy, methods of payment, relations with other enterprises, professions enhancing the image of the enterprise, communication method between employees, saving and processing of information, company promotion tools and consumer communication. The main statistical indicators of the digitalization impact on the activity of enterprises in the world and in Ukraine in 2018 have been analyzed. The feasibility of using digital economy tools has been outlined. Advantages and disadvantages of the impact of digital transformation space on the enterprise have been identified.
Use of Markov Chains for Modeling Processes of Strategic Planning of Innovative Activity of the Enterprise
Authors: Doroshkevych K. , Maslak O. , Voronovska V. , Salata I.
Published: May 2020

The article investigates the processes of strategic planning of innovative activity of the enterprise as an activity to determine the directions of enterprise innovative activity (strategy), which would be consistent with the available resource provision, innovative potential of the enterprise and meet the needs of the market and have a reasonable use of the mathematical apparatus of Markov chains for its modeling. The article gives examples of practical use of Markov chains in the management of innovative projects, forecasting the structure of the existing land fund of Ukraine, in the tasks of buying and selling shares, allocation of financial resources between executors of investment projects in a closed system, etc. Markov chain is used to model strategic planning of innovative activity of the enterprise.