bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS PRODUKTIVITAS PEKERJA KONSTRUKSI PADA PEKERJAAN BETON BERTULANG
Authors: Thenu Gracellia , Taihuttu Felix , Kempa Meidy
Published: July 2021

Produktivitas kelompok kerja dalam proyek konstruksi sampai dengan saat ini relatif sedikit yang dipublikasikan. Terdapat banyak metode yang dapat digunakan untuk mengukur produktivitas tenaga kerja dilapangan. Analisis data dilakukan dengan cara matematis sederhana untuk mendapatkan besarnya produktivitas. Work sampling adalah salah satu metode pendekatan yang bisa digunakan untuk mengukur produktivitas dengan cukup mudah. Tujuan utama dari penelitian ini adalah untuk menganalisa produktivitas pekerja konstruksi pada pekerjaan beton bertulang. Selain itu, penelitian ini meninjau faktor-faktor yang mempengaruhi nilai produktivitas yang diperoleh dengan Metode Delphi yaitu dengan cara penyebaran kuisioner khusus ahli. Ukuran produktivitas yang didapat dari analisa ini adalah labour utilization factors (LUF). Penelitian ini dilakukan pada 4 proyek yang sementara melakukan pekerjaan beton bertulang. Penelitian ini  melihat LUF berdasarkan waktu kerja (sebelum tengah hari dan setelah tengah hari). Hasil analisa work sampling menunjukan bahwa keseluruhan rata-rata LUF pada ke-empat proyek yang diteliti sebelum tengah hari adalah 46,98% sedangkan setelah tengah hari adalah 43,72%, persentase penurunan produktivitas rata-rata adalah 3,26%. Dari hasil penelitian mengindikasikan bahwa sebelum tengah hari pekerja lebih produktif dibanding setelah tengah hari. Analisa kuisioner menunjukan bahwa secara umum faktor yang berpengaruh sehingga adanya penurunan nilai produktivtas dalam hal ini karena setelah tengah hari, kelembaban udara yang tinggi dapat mempercepat rasa lelah tenaga kerja sehingga kondisi ini mempengaruhi pekerja dalam melakukan pekerjaan dapat lebih cenderung melakukan hal-hal yang tidak berkaitan dengan pekerjaan.
PENGGUNAAN MOTOR SINKRON TIGA PHASA TIPE SALIENT POLE SEBAGAI GENERATOR SINKRON
Authors: Pattiapon Denny Richard , Rikumahu Jacob J , Jamlaay Marselin
Published: July 2021

Suatu motor sinkron bila hendak digunakan sebagai generator sinkron, maka motor tersebut harus digerakkan oleh suatu penggerak mula pada kecepatan sinkron dan belitan rotornya harus dieksitasi melalui suatu catu daya DC. Dalam mengoperasikan motor sinkron sebagai generator sinkron adalah motor sinkron tidak memiliki penguatan medan atau eksitasi sendiri (self excitation), sehingga dibutuhkan catu daya tegangan DC yang dapat diatur untuk kebutuhan eksitasi medan rotor. Penguat atau eksitasi sendiri digunakan untuk menghasilkan eksitasi medan pada motor sinkron agar dapat beroperasi sebagai generator sinkron. Rangkaian catu daya DC dapat berupa rangkaian yang terpisah dari generator ataupun rangkaian yang tidak terpisah dalam hal ini tegangan keluaran (output) generator disearahkan dan digunakan sebagai catu daya eksitasi medan.Metode yang digunakan untuk menyelesaikan penelitian ini adalah riset dan pengembangan yaitu suatu metode yang dipakai untuk mengembangkan model, alat atau aplikasi tertentu berdasarkan proses penelitian.Dimana motor sinkron dioperasikan sebagai generator sinkron yang menggunakan penguat medan terpisah, dengan beban 0 – 210 Watt, ternyata yang terjadi adalah semakin besar beban yang diberikan  pada generator, maka putaran generator dan tegangan keluaran yang dihasilkan dari generator mengalami penurunan, sehingga putaran generator harus distabilkan kembali pada putaran 1500 Rpm dan tegangan keluaran pada masing-masing fasa harus distabilkan pada 220 VAC, sedangkan dengan menggunakan penguat medan sendiri dengan beban 0 - 240 Watt, yang terjadi adalah tegangan eksitasi generator yang dihasilkan dari penguat medan sendiri (self excitation) akan tetap stabil, dan akan adalah putaran motor sinkron menurun dan harus distabilkan kembali pada putaran 1500 Rpm, tegangan eksitasi generator yang disuplai dari penguat medan sendiri tetap stabil. Sedangkan tegangan keluaran pada generator sinkron mengalami penurunan dari 252 VAC pada beban nol sampai 220 VAC pada beban maksimum dan arus mengalami peningkatan
Development of Moral Immunity among Students
Authors: Bubnov Yu. A. , Mazkina O. B.
Published: July 2021

In the modern conditions of the massive impact on the consciousness of the young generation of multidirectional social factors and influences, the development of moral immunity among students becomes of increased importance. The article notes insufficient development of this problem in modern psychological and pedagogical science. The authors offer their own approach to the interpretation of the concept of “moral immunity” as a special personal neoformation that performs the functions of providing psychological resistance to negative factors that can disrupt the normal course of development and socialization of an individual, as well as creating the basis for the formation of a stable moral position in relation to other people and oneself. In the structure of moral immunity, the value, sensory and moral components are distinguished. Based on the material of an empirical study of students with different professional orientation, it is shown that the last two components are characterized by a certain mismatch of their manifestations. The article reveals some areas of work with students that ensure the development of their moral immunity in the educational environment of the university.
Additional Education for Children with Special Needs and Disabilities in the Russian Federation: National Monitoring Concept
Authors: Puzanova Z. V. , Simonova M. A. , Filippov V. M. , Larina T. I.
Published: July 2021

The development of inclusive education progresses at different speeds across the world. In the Russian Federation inclusive education is developing primarily at the school level but one of the most crucial aspects of socialization is additional education, and in this regard the needs of children with special needs and disabilities remain an outstanding issue. A concept of the national monitoring of additional education for children with special needs and disabilities is proposed. The article presents the project of the toolkit for the national monitoring of entities engaged in additional educational activities for children with special needs and disabilities, which includes eight blocks: organizational structure of entities engaged in implementing additional educational programs for children in each constituent territory of the Russian Federation; implementation of additional educational programs for children with special needs and disabilities in entities with various subordination and organizational structures; material and technical support; staffing and professional training for specialists engaged in implementing additional educational programs for children with special needs and disabilities; information on ongoing additional educational programs for children with special needs and disabilities; typical obstacles which arise in the course of activities organized by entities engaged in implementing additional educational programs for children with special needs and disabilities; information resources and the system of inter-agency interaction in the course of the implementation of additional educational programs for children, including those with special needs and disabilities; financing of entities engaged in implementing additional educational programs for children. The presence/absence of a regional centre of additional education for children is going to be identified, as well as its official name, and the number of subordinate entities which implement additional educational programs in the corresponding Russian region in various areas: arts, sports, science, sociology and pedagogy, technical sciences, tourism and local history, intellectual games. The article could be of assistance for experts who study inclusion problems.
Transformation of the Personnel Policy of Russian Universities Participating in Project 5-100: The Case of National Research Nuclear University Mephi
Authors: Drugova E. A. , Pleshkevich I. B. , Klimova T. V.
Published: July 2021

The article examines the development of personnel policy and human resource management (HRM) in Russian universities under the influence of the Project 5-100. Globalization has intensified the processes of universities corporatization and the spread of effective management practices. National academic excellence programs have contributed to strengthening the performance-based governance in universities all over the world. These factors had deeply influenced the transformation of HRM practices at universities. Russian studies in this field are shown as fragmented, focusing on narrow aspects, and not forming a holistic picture of the HRM system transformation in Russian universities. This work aims to describe a holistic case of personnel policy and HRM system development in one of the leading Russian universities – the National Research Nuclear University “MEPhI” (Moscow Engineering Physics Institute).The research applied the method of semi-formalized interviews and covered 25 employees of MEPhI. Four interview guides were developed for different categories of employees (top management, middle management, academics, teachers), including more than 25 questions, focusing on employees’ perception of different components of the HRM system at the university. The study showed that the HRM system at MEPhI was significantly transformed under the influence of the Project 5-100: the personnel policy was formalized in high-level strategic documents; the processes of recruitment and selection of foreign employees have been rebuilt; the considerable increase in the number of foreign employees was reached; global partners began to play an important role; a comfortable environment for the implementation of initiatives was created and opportunities for professional development were provided. A significant part of these changes is connected, directly or indirectly, with the university’s participation in the Project 5-100. In general, this points to its positive impact on personnel policy and the HRM system at the university. The results obtained can be used as a basis for formulating recommendations for improving the personnel policy and HRM system in Russian universities as an important component of the management system as a whole.
Measuring Healthiness Of Islamic Banks Using Solvabilitas Financial Ratios
Authors: Zuardi Muhammad Hanafi
Published: July 2021

The purpose of the study was to analyze the soundness level of PT Bank Central Asia (BCA) Syariah using the solvency ratio for the 2015-2019 period. This type of research is quantitative with a descriptive approach, where the data source used is secondary data sources. The data collection technique uses the documentation method in the form of financial reports which have been presented on the official website of PT BCA Syariah. The data analysis technique uses the assessment of the level of health using the solvency ratio with independent variables and measurement using the CAR and DER ratios. The results showed that the CAR ratio for the 2015-2019 period was ranked 1 in the very healthy category, namely the CAR ratio was greater than the predetermined bank health standard, namely 8%. Meanwhile, the DER ratio for the 2015-2019 period experienced a significant increase. This increase in the DER ratio indicates that the condition of the DER ratio is in an unhealthy state, because the calculation of the DER ratio is more than the minimum health standard for the DER ratio, namely DER <58%. Based on the results of the study, the health composite ranking of PT BCA Syariah using the Solvency Ratio in 2015-2019 The CAR ratio is in a healthy rating, while the DER ratio is in a very unhealthy rating. so this indicates that the bank has not been able to finance its long-term and short-term debt with its own capital.
“Good Social Media?”: Underrepresented Youth Perspectives on the Ethical and Equitable Design of Social Media Platforms
Authors: Brough Melissa , Literat Iona , Ikin Amanda
Published: July 2021

This study investigates underrepresented youths’ perspectives on social media design and how these may inform the development of more ethical and equitable social media apps. In contrast to the tradition of universal design in the field of human–computer interaction, this study centers difference to investigate how users’ perspectives and expectations, shaped by their identities, help determine the affordances of social media and their ethical implications. Twenty-five in-depth interviews and youth-guided “think aloud” social media tours were carried out with a diverse range of young people from underrepresented groups. Findings illustrate how young people perceive and experience empowering and disempowering aspects of social media design. Interviewees expressed a palpable sense of underrepresentation in the digital technology design sector and noted several ways in which design elements of social media can exacerbate a sense of inadequacy. The negative implications of user profile design and popularity rating systems that encourage conformity were found to be of particular concern for low-income youth, youth of color, and other underrepresented groups. However, our findings also illuminate youth perspectives on how social media can sometimes serve as a tool to counter negative stereotypes and build social capital. The analysis includes concrete suggestions from underrepresented youth for more ethical and equitable social media design.
Are We Already Living in Virtual Reality?
Authors: Rothman Joshua
Published: July 2021

THOMAS METZINGER HAD his first out-of-body experience when he was nineteen. He was on a ten-week meditation retreat in the Westerwald, a mountainous area near his home, in Frankfurt. After a long day of yoga and meditation, he had a slice of cake and fell asleep. Then he awoke, feeling an itch on his back. He tried to scratch it, but couldn’t—his arm seemed paralyzed. He tried to force the arm to move, and, somehow, this shifted him up and out of his body, so that he seemed to be floating above himself. Gazing out into the room, he was both amazed and afraid. He heard someone else breathing and, in a panic, looked around for an intruder. Only much later did he realize that the breathing had been his.

At the time, in the early nineteen-eighties, Metzinger was a philosophy student researching the mind-body problem at the Johann Wolfgang Goethe-Universität. During the postwar years, Theodor Adorno and Max Horkheimer had made the university’s Institute for Social Research—the Frankfurt School—a center of neo-Marxist thought, and the campus remained a politically radical place. In Britain and America, philosophers, computer scientists, psychologists, and neuroscientists were working together to reconceive the mind as a purely physical system created by the brain. In Metzinger’s department, such theories were denounced as anti-human and “proto-fascist.” Metzinger considered himself a radical—he had waist-length hair, and was proud to have been teargassed while protesting the U.S. military—but also a rationalist. Immersing himself in the work of the Anglophone philosophers, he’d eventually become convinced that his soul was made by his brain. He was, therefore, doubly shocked by his out-of-body experience, which had seemed irrevocably real. Could materialism be wrong? Could consciousness exist immaterially, outside of the body? He admonished himself: “How arrogant I have been!”…
¿Decadencia del derecho de huelga?
Authors: Brugarola. S. J. Martín
Published: July 2021

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productividad y "relaciones humanas" en la empresa
Authors: Ormazábal, S. I. Ángel De Arín
Published: July 2021

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Biblioteca comentada del hombre de negocios
Authors: Brugarola. S. J. Martín
Published: July 2021

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En el Centenario de San Ignacio
Authors: Redacción Consejo de
Published: July 2021

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Cartas a la revista
Authors: Arredondo, S. I. Agustín
Published: July 2021

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Declaración de los metropolitanos
Authors: Redacción Consejo de
Published: July 2021

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El derecho a la vida
Authors: Redacción Consejo de
Published: July 2021

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Ociosidad española y sus remedios
Authors: G. Olmedo, S. I. Felix
Published: July 2021

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Elementos para una cultura europea de desarrollo de herramientas de inteligencia artificial: el libro blanco sobre la inteligencia artificial y las directrices éticas para una IA fiable
Authors: Colcelli Valentina , Burzagli Laura
Published: July 2021

El objetivo del trabajo es abordar el problema ético/jurídico del desarrollo de las tecnologías que utiliza la inteligencia artificial, utilizando la vía metodológica trazada por la Unión Europea en sus Directrices éticas para una IA fiable. Así, el artículo se centra en la descripción de algunos elementos que caracterizan la estrategia elegida por la Unión Europea para abordar la cuestión de la relación entre los aspectos ético-jurídicos y la tecnología relacionada con el desarrollo de la inteligencia artificial. Seguidamente, expone un ejemplo práctico de la sinergia entre desarrolladores de aplicaciones tecnológicas y juristas, que se ha llevado a cabo en un instituto del Consejo Nacional de Investigación de Italia.
Self-acceptance as a predictor of self-esteem in victims of body shaming
Authors: Safarina Nur Afni , Maulayani Maulayani
Published: July 2021

This study aimed to determine and analyze the influence of self-acceptance on self-esteem on the victim of body shaming in SMAN 1 Lhokseumawe. The approach of this study was a quantitative correlational method. The samples of this study were 75 students of SMAN 1 Lhokseumawe, and ever be the victim of body shaming. This study uses the purposive sampling technique. This study’s data collection methods were used two scales, namely scale of self-acceptance and self-esteem scale. Then, the data were analyzed by using simple linear regression. The result of this study indicates a correlation between self-acceptance and self-esteem variables. The constant value shows that the coefficient is positive and has a positive or consistent correlation. There is an influence between self-acceptance of self-esteem by using formula t-table and t-count to test the hypothesis, and the result is the same. The initial hypothesis is acceptable. That is mean the hypothesis in this study can be accepted.
CONCEPTS AND BASIS OF INTERNATIONAL RELATIONSHIPS IN THE PERSPECTIVE OF ISLAMIC GOVERNMENT
Authors: Sri Sudono Saliro Zarul Arifin
Published: July 2021

After Islam was spread by the Muslims throughout the universe, the contact of the Muslims with the a'jam nations had entered a new phase in international relations. Territorial boundaries that are displayed in plain sight do not make Muslims limit themselves in interactions between nations. The relationship that occurs between Muslims and other nations is inspired by the teachings of Islam itself which requires Muslims to always maintain peace between Muslims and internal and external Muslims. Islam has laid the foundation for peace in international relations with a basic stipulation that Muslims are not justified even if they interfere with the internal affairs of other nations
Need to use Fog Computing with IoT
Authors: Kaur Tajinder
Published: July 2021

The field of computing has covered a long path. From Mainframes to traditional desktop and then towards Ubiquitous Computing. Ubiquitous Computing combined with wireless Network embedded with cloud computing have given rise to new type of concept known as Internet of Things. But this is not the final destination. A new edge is added further to this which is known as Edge Computing or Fog Computing. With less maintenance and cost based on service usage, cloud computing’s layered architecture allows the client to purchase services at different levels such as IaaS, PaaS and SaaS. It permits location independence facility as users can access these services anywhere with an internet connection and a web browser. IoT devices generate data constantly, and often analysis must be very rapid. Main sources of this huge amount of data are devices, sensors or actuators. Handling the volume, variety, and velocity of IoT data requires a new computing model. Also the time it takes to makes its way to the cloud for analysis, the opportunity to act on it might be gone. So, a new model which will further enhance the capabilities of IoT is explained. This new model is known as Fog Computing or Edge Computing. There are number of applications where this model fits. In this paper introduction to Iot and its applications are discussed. Then Fog computing is introduced.
Clustering Analysis using an Unsupervised Machine Learning Method
Authors: Ansari Tashfin , Siddiqui Dr. Almas , K Awasthi G.
Published: July 2021

Artificial Intelligence (AI) and Machine Learning (ML), which are becoming a part of interest rapidly for various researchers. ML is the field of Computer Science study, which gives capability to learn without being absolutely programmed. This work focuses on the standard k-means clustering algorithm and analysis the shortcomings of the standard k-means algorithm. The k-means clustering algorithm calculates the distance between each data object and not all cluster centres in every iteration, which makes the efficiency of clustering is high. In this work, we have to try to improve the k-means algorithm to solve simple data to store some information in every iteration, which is to be used in the next interaction. This method avoids computing distance of data object to the cluster centre repeatedly, saving the running time. An experimental result shows the enhanced speed of clustering, accuracy, reducing the computational complexity of the k-means. In this, we have work on iris dataset extracted from Kaggle.
Phishing Website Detection Based on URL
Authors: Ravindra Salvi Siddhi , Sanjay Shah Juhi , Gulzar Shaikh Nausheenbanu Ahmed , Pallavi Khodke
Published: July 2021

In today's era, due to the surge in the usage of the internet and other online platforms, security has been major attention. Many cyberattacks take place each day out of which website phishing is the most common issue. It is an act of imitating a legitimate website and thereby tricking the users and stealing their sensitive information. So, concerning this problem, this paper will introduce a possible solution to avoid such attacks by checking whether the provided URLs are phishing URLs or legitimate URLs. It is a Machine Learning based system especially Supervised learning where we have provided 2000 phishing and 2000 legitimate URL dataset. We have taken into consideration the Random Forest Algorithm due to its performance and accuracy. It considers 9 features and hence detects whether the URL is safe to access or a phishing URL.
Machine Learning Based Computer Vision Application for Visually Disabled People
Authors: Mone Shubhada , Salunke Nihar , Jadhav Omkar , Barge Arjun , Magar Nikhil
Published: July 2021

With the easy availability of technology, smartphones are playing an important role in every person’s life. Also, with the advancements in computer vision based research, Automatic Driving cars, Object Recognition, Depth Map Prediction, Object Distance Estimation, have reached commendable levels of intelligence and accuracy. Combining the research and technological advancements, we can be hopeful in creating a computer vision based mobile-application which will help guide visually disabled people in performing their day to day tasks with easily available mobile applications. With our study, the visually disabled can perform simple tasks like outdoor/indoor navigation without encountering obstacles, also they can avoid accidental collisions with objects in their surroundings. Currently, there are very few applications which provide the same assistance to the visually impaired. Using physical tools like sticks is a very common practice when it comes to avoiding obstacles in a visually disabled person’s path. Our study will be focused on object detection and depth estimation techniques- two of the most popular and advanced fields in Intelligent Computer vision studies. We have explored more on the traditional challenges and future hopes of incorporating these techniques on embedded devices.
Earthquake Early Warning (EEW) System: System Architecture, Data Modelling, and User Interface Design
Authors: Noprisson Handrie
Published: July 2021

Earthquake Early Warning Systems (EEWSs) development is essential to provide service to stakeholders and the public. The service is the information access regarding the information on the earthquake source area and its impact on the surrounding environment. This study aims to conduct a systematic literature review of peer-published studies focusing on the development of earthquake Early Warning Systems (EEWSs). The method of systematic review is well-established in research by Kitchenham et al. (2005). It is used to analyze the literature and answer defined research questions systematically. We found 16 papers related to system architecture, data modelling and user interface design of Earthquake Early Warning Systems (EEWSs) published in 2009-2020. Research that discusses data modelling is 6%, the user interface design is 38%, and system architecture is 56%. Overall, our findings show that the system architecture, data modelling and user interface of the development of Earthquake Early Warning Systems (EEWSs) in several countries have significant similarities. It can be modelled as a framework for the development of Earthquake Early Warning Systems (EEWSs).
From Humans to Robots: Machine Learning for Healthcare
Authors: Daghottra Ankita , Jain Dr. Divya
Published: July 2021

Machine learning is a branch of artificial intelligence (AI) through which identification of patterns in data is done and with help of these patterns, useful outcomes or conclusions are predicted. One of the most prominent or frequently studied applications of machine learning is the surgical phase or robotic surgery. This makes machine learning an important part of research in robotics. The implementation of this technology in the field of healthcare aims in improving medical practices resulting in more precise and advanced surgical assessments. This paper aims in outlining the implementation and applications of machine learning related to robotics in the field of healthcare. Machine learning aims in generating positive outcomes with assumptions. The objective of this paper is to bring light on how these technologies have become an important part of providing more effective and comprehensive strategies which eventually add to positive patient outcomes and more advanced healthcare practices.
Forensic Analysis of Broken and Damaged Mobile Phone - A Crime Case Study
Authors: Kumar Akhlesh , Ghode Bhushan , Maniar Khevna , Jain Dr. S. K.
Published: July 2021

Forensic laboratories are frequently subjected to mobile devices that are assailed by shock or forced damage which might be the result of intentional efforts to destroy proof from the devices or accidental exposure. Chip-off technique is an effective method for data retrieval from such kind of exhibits. However, nowadays all mobiles phones are securely encrypted with full disk encryption (FDE) or file-based encryption (FBE) which makes chip-off forensics an improbable process to successfully retrieve data. In many of these cases, the encryption is on the hardware and hence, the device could be successfully decrypted by bringing it in its original condition. Thus, the original user data can be obtained for investigative purposes. This process can be enabled by replacement of electronic parts of the original device which contains user data and decryption keys i.e. PCB to the new host. This research paper covers a case study of a mobile phone obtained in broken and shattered condition whose diagnosis of PCB and subsequent actions led to data recovery.
Changing Trends in Computer Architecture : A Comprehensive Analysis of ARM and x86 Processors
Authors: Gupta Khushi , Sharma Tushar
Published: July 2021

In the modern world, we use microprocessors which are either based on ARM or x86 architecture which are the most common processor architectures. ARM originally stood for ‘Acorn RISC Machines’ but over the years changed to ‘Advanced RISC Machines’. It was started as just an experiment but showed promising results and now it is omnipresent in our modern devices. Unlike x86 which is designed for high performance, ARM focuses on low power consumption with considerable performance. Because of the advancements in the ARM technology, they are becoming more powerful than their x86 counterparts. In this analysis we will collate the two architectures briefly and conclude which microprocessor will dominate the microprocessor industry. The processor which will perform better in different tests will be more suitable for the reader to use in their application. The shift in the industry towards ARM processors can change how we write softwares which in turn will affect the whole software development environment.
Hydroponics Fodder Grow Chamber
Authors: Turakne Sandip S. , Jondhale Shubham B. , Vikhe Prasad M. , Gore Mahesh N.
Published: July 2021

India is a developing country, but rural areas do not seem to be developing much. Basically most of the public is farmers, most of the farmers have limited agricultural land and also lack of water resources. in many parts of India rain and is not enough for traditional way farming. To avoid these problems our proposed system is structured a helpful touch of fresh and raw feed for cattle food within affordable natural conditions. This hydroponic system does not require any soil to grow fodders and will absorb 80% less water as compared to the traditional method of farming. Greater topic for work to upgrade the Hydroponic Fodder Grow room for proper management of cattle fodder in any period during the year. This paper suggests a clever plan no human power or less human power is required for It performance. this is usually a completely automated system. In seven to for eight days the room provides fodder as a ready-to-feed product any cattle or grass-eating animals. This process is aided by a Moisture sensor to produce a certain amount of water. Forage seeds use H2O, or solutions that enrich the nutrients of the drug food within the absence of soil. The amount of water is additionally calculated by microcontroller atmega328p. Also, we visit the average temperature and humidity of our room. This heat and humidity are the same and is controlled by a cool cooler and UV/LED light inside the room. Adequate water management and nutrients within the hydroponic system, moisture, humidity pH, water level and temperature should be measurement Using a microcontroller all these functions do it automatically and display at the top of the guided screen. These hydroponics require less space, and this is true usually inside a room of aluminum or fiber. that the environment of the room is completely controlled. That's the fodder prepared for use within 8 days up to 1fit This healthy cattle fodder. Mainly more production we use maize as fodder. Performing remote monitoring of fodder extension procedure, prohibited by employees, thereby reducing the manual process.
Enterprise Resource Planning Module for Textile Industry
Authors: Wankhede Devendra , Khobragade Shreya , Jangle Pranali , Bondre Karishma , Anjikar Prof. Akhil
Published: July 2021

In Textile Industries, several entities and departments are present. If all these departments are not maintained properly then it is very difficult to handle the textile organization. For maintaining textile industry (ERP) solution can help, making your textile company more profitable by strengthening the collaboration within the organization and increasing its efficiency and adaptability. The ERP solution lays a solid foundation for textile companies to continuously review, benchmark, and optimize their business processes based on their corporate business strategy making the right business decisions becoming easier. A comprehensive ERP solution also makes it easier for a textile organization’s business partners to engage productively within the company. The main objective of this application is that there are several textile organizations where this system is a must to be used because with the help of this system textile companies can provide outstanding service to customers, maximize their return on investments in assets, optimize enterprise processes, mitigate operational risks, facilitate environmental compliance, and streamline the merger and acquisitions process.
A Deep Learning Based Approach for Fake News Detection
Authors: Sharma Srishti , Kalra Vaishali
Published: July 2021

Owing to the rapid explosion of social media platforms in the past decade, we spread and consume information via the internet at an expeditious rate. It has caused an alarming proliferation of fake news on social networks. The global nature of social networks has facilitated international blowout of fake news. Fake news has proven to increase political polarization and partisan conflict. Fake news is also found to be more rampant on social media than mainstream media. The evil of fake news is garnering a lot of attention and research effort. In this work, we have tried to handle the spread of fake news via tweets. We have performed fake news classification by employing user characteristics as well as tweet text. Thus, trying to provide a holistic solution for fake news detection. For classifying user characteristics, we have used the XGBoost algorithm which is an ensemble of decision trees utilising the boosting method. Further to correctly classify the tweet text we used various natural language processing techniques to preprocess the tweets and then applied a sequential neural network and state-of-the-art BERT transformer to classify the tweets. The models have then been evaluated and compared with various baseline models to show that our approach effectively tackles this problemOwing to the rapid explosion of social media platforms in the past decade, we spread and consume information via the internet at an expeditious rate. It has caused an alarming proliferation of fake news on social networks. The global nature of social networks has facilitated international blowout of fake news. Fake news has proven to increase political polarization and partisan conflict. Fake news is also found to be more rampant on social media than mainstream media. The evil of fake news is garnering a lot of attention and research effort. In this work, we have tried to handle the spread of fake news via tweets. We have performed fake news classification by employing user characteristics as well as tweet text. Thus, trying to provide a holistic solution for fake news detection. For classifying user characteristics, we have used the XGBoost algorithm which is an ensemble of decision trees utilising the boosting method. Further to correctly classify the tweet text we used various natural language processing techniques to preprocess the tweets and then applied a sequential neural network and state-of-the-art BERT transformer to classify the tweets. The models have then been evaluated and compared with various baseline models to show that our approach effectively tackles this problem
Design and Implementation of Solar Panel MPPT with Inverter and Battery Towards Load Side
Authors: Siddiqui Prof. Najma , Anwar Mohammad , Akhtar Junaid , Asif Ehtesham , Rehan Mohammad , Khan Tafim
Published: July 2021

In India the requirement and availability of energy for power supply is 11,14408 million units and 10,90850 million units for 2015-16 and we also know that the human activities is mostly dependent on electrical power supply. The above fact clearly shows that the supply is not meeting the demand. As a result frequent power-cut is done and interrupted power supply is provided. The alternative for this problem is to switch towards renewable energy resources. Four different sources i.e. mains, generator, solar and inverter are used to provide uninterrupted power supply. Using the solar energy as one of the power source provides the solution for low energy resources since it is a non-renewable source of energy. The second objective of work is to provide automation which make the work faster, reliable, efficient, and reduce human efforts. Microcontroller (PIC/AT89C51) is used to provide automation in the switching between four different sources. The automation system used for switching requires separate source to provide an output signal which will operate the four different relays connected to sources respectively
AI Driven Planetary Bot for Future Vision
Authors: J Seema , Gupta Kunal Kumar , Balaram Challapalli , Shetty Akshay Puttu , Reddy Kamjula Vasudeva
Published: July 2021

These days focus is more on technologies like Artificial Intelligence, Machine Learning and IoT. There is lots of platforms available for IOT implementation. ESP8266 chip is among them Here the implementation is about prediction of different aspects of weather data that can be used in many ways like predicting the future condition of different region of earth or predicting future condition of different planets and their different regions. To implement this system, we need different sensors like pressure sensor humidity sensor, temperature sensor and a light intensity sensor i.e DHT11 is utilize for temperature and humidity data together and LDR. Is for light intensity. The data which is sensed by different sensors are than uploaded to Thingspeak which is an API for cloud server by the help of NodeMCU and then converted to csv format. The data can be used for monitoring the real time values too. Machine Learning Environment can be setup by the help of a CNN model. Training of model can be done by recorded values of sensor data. After recording data from sensors to NodeMCU like temperature, pressure, humidity and light intensity and after these values are sent to python environment that is Jupyter notebook for further analysis. Here the data which is used is real time data to predict the particular value and test the model.
Antihyperglycemic Activity of The Ethanolic Extract of the Bark of Mitragyna Ciliata (MYCA) in Albino Induced Diabetic Rats
Authors: Diana PAYE Plenseh , McClain James
Published: July 2021

Background: Diabetes an epidemic that gives rise to an increased macro vascular complication mortality rate of 1.5 million annually, increasing by 2035. Treatment of diabetes is complicated and associated with a severe side effect.

Objective: To evaluate the antihyperglycemic property of the ethanolic extract of the back of MYCA and its toxicological effect on the hematological parameters with histopathological analysis of selected organs of induced diabetic albino rats.

Method: The ethanoic extract (1000 mg/kg bw and 500mg/kg bw) and glibenclamide (0.5mg/kg bw) were administered to diabetic induced rats.  The effect of the extract on the hematological was studied in the diabetic induced rats. Histopathological changes were observed in the liver of induced diabetic rats after the administration of the MYCA extract.

Results: The anti-hyperglycaemic effect was observed at two different levels, for two different doses (1000mg/kg and 500mg/kg). The results also showed significant suppression of blood glucose level in glucose fed hyperglycaemic albino rats but showed no significantly suppressed glucose level in overnight fasted normoglycemic rats.

Conclusion: The findings revealed that the ethanolic extract of MITRAGYNA CILIATA (MYCA) possess antihyperglycemic property. Besides, the extract can prevent the various complication of diabetes and improve some hematological parameters.
Formulation, Development and Evaluation of Colloidosomes of Glipizide
Authors: Mali Hanmant S. , Shaikh Safiya R. , Joshi Saurabh D. , Dhaygude Vishwajit D. , Yadav Akshay R.
Published: July 2021

Glipizide is a potent oral antidiabetic agent, a second generation sulphonyl urea used in lowering blood glucose in patients with type II diabetes mellitus. It has a short half life of 2-4 hours. The objective of the present study was development and evaluation of colloidosomes of glipizide for controlled/sustained drug release. An attempt was made to formulate and evaluate colloidosomes of glipizide as a model drug using water in oil emulsion based method by using CaCO3 with a view to deliver drug at controlled/sustained manner in GIT and consequently into systemic circulation. The prepared colloidosomes were evaluated for particle size, shape and surface morphology, FTIR study, % yield, zeta potential, SEM, % drug entrapment efficiency and in-vitro drug release studies. The obtained colloidosomes were found to be discrete and spherical in shape and found to possess mean particle size range of 2228 nm to 3551 nm. The drug entrapment efficiency was found to be 52.13±1.2% to 71.18±1.25%. Amongst the prepared batches, Glipizide colloidosomes of Batch C formulation were stable and exhibited good sustained release of the drug for a period of 12 hours.The release profile was compared with alginate gel spheres. This implied that the developed formulations have a potential to deliver the drug in a sustained manner. This outcome from the release profiling strongly recommends that the developed glipizide loaded colloidosomes may prove to be a useful delivery carrier to deliver the drug in controlled release manner which is a prime requirement for the treatment of type II diabetes mellitus.
A Review on Internet of Things Based Humidifier for Mushroom Cultivation
Authors: Naimuddin Dr. Sayyed , Ujjainwala Hussain Kasim Ali , Khobragade Shreya , Kausar Shahana , Sakhare Krunal , Ejaz Afreen Parveen Sheikh
Published: July 2021

In this study, grey oyster mushroom (Pleurotus pulmonarius) was cultivated in indoor controlled environment to seeking out the possible Risks of contamination and ways of treatment to avoid the contamination. For this, mushroom was cultivated in providing artificial humidifying and Ventilation system to ensure optimum humidity (80-90%) and fresh air Recirculation in different ways of treatment. The ways of treatment were Included as in position of humidifier, frequency of humidifying, plastic Cork of bags opening part and cleaning of humidifier water container. Maximum percentages of bag contamination (2.5-25.30%), cap Contamination (5.6-30.75%), stalk contamination (4.75-23.25%) and root Contamination (2.6-18.45%) were found in front to front humidifier Position, long humidifying with long interval frequency, without plastic Cork, without cleaning and bi- monthly cleaning of humidifier water Container treatment but no diseases and pest infection was found. Whereas, Very low percentages of contamination (0.1-0.5%) were found in Surrounding humidifying position, short humidifying duration with short Interval frequency, with plastic cork and weekly cleaning of humidifier Water container treatment.
Automatic Transmission Fault Symptom Identification by Apply of Neural Network and D-S Evidence Theory
Authors: O RyongSik , Chu Jiangwei , Sun Zhenwei , Ri Myongchol , Sim MyongSu , Kim Yongchol , Ryu SunGol , Li Chunlei , Hwang CholSong , Kim KwangBok
Published: July 2021

At present, the method of identifying the fault symptoms of various machines by combining the neural network and the D-S evidence theory is attracting attention from researchers because the identification time is fast and the diagnosis is accurate. In this paper, it was mentioned a method for identifying the fault symptoms of automatic transmission by combining these two theories. First, it was mentioned a method for identifying fault symptoms of the automatic transmission by combining a fuzzy neural network and an RBF neural network. Next, it was newly described a method to improve the accuracy of fault symptom identification by the D-S evidence theory. In addition, the accuracy of this method was verified by an experimental method. In the experiment Firstly, two sub neural networks are established to recognize the initial symptoms. That is, the first sub-neural network E1 be used as the fuzzy neural network, the second sub-neural network E2 be used as RBF neural network, respectively, for preliminary symptom recognition. And then, these outputs of the two sub neural networks are used as the evidence space of D-S evidence theory, so the global diagnosis is carried out. The results show that the test results are consistent with the actual fault symptoms. The success rate of fault diagnosis up to 96.3%, therefore, on the identification of the automatic transmission fault symptom, effectiveness, and feasibility of the D-S evidence theory based on information fusion is verified.
Doctor Chatbot – Smart Health Prediction
Authors: J Seema , S Suman , R Chirag S , G Vinay , D Balakrishna
Published: July 2021

As in today’s world, the number of patients on usual is increasing apace with the amendment in life-style. Queues in hospitals and native doctor's residences are rapidly Increasing. Patients with hectic schedules must spend a significant amount of time waiting to meet the doctor. It takes a long time to heal certain diseases. Heart disease could be a quite common problem worldwide. Many people, both young and old, suffer and die from heart attacks every day. Chatbots will perform tasks such as reducing agent transfers, resolving issues more quickly, improving self-service, and so on. They need constant support to discuss their issues with and to provide them with factual data. This paper introduces a possible solution to provide them with what they're seeking for a chatbot. The projected chatbot would be a heart disease Predictor which is designed for individuals managing any kind of symptoms that connect to the heart. The bot is trained by data collected from numerous Heart Disease-related forums that have a good and wide range of knowledge regarding the heart.
A Theoretical Study of 5-methyl-2-isopropylphenol (Thymol) by DFT
Authors: Gupta Raksha
Published: July 2021

Gaussian 09, RevisionA.01, software package was used for the theoretical quantum chemical calculations of 5-methyl-2-isopropylphenol. DFT/B3LYP/6-311G (d, p) basis was used to perform geometric optimization and vibrational frequency determination of the molecule. The statistical thermochemical calculations of the molecule were done at DFT/B3LYP/6-311G (d, p) basis set to calculate the standard thermodynamic functions: heat capacity (CV), entropy (S) and Enthalpy (E). Various NLO properties like total dipole moment (µ), mean linear polarizability (α), anisotropic polarizability (Δα), first order polarizability (β), and second order hyperpolarizability (γ) in terms of x, y, z components were calculated at DFT/B3LYP/6-311G (d, p) basis set for 5-methyl-2-isopropylphenol. Mulliken population analysis was also done using the same basis set. Time Dependent DFT (TD-DFT) method using the same basis set was used to compute UV-Visible absorption spectra, ECD spectra, electronic transitions, vertical excitation energies and oscillator strengths of 5-methyl-2-isopropylphenol.FMO analysis, ESP study were also done using the same basis set.