bluuebunny/crossref_metadata_2025 huggingface dataset:
Climate change adaptation strategies for agro-ecosystem – a review
Authors: K. BOOMIRAJ  , SUHAS P. WANI  , P. K. AGGARWAL  , K. PALANISAMI
Published: May 2022

Agriculture the major economic and social activity in the globe. It is understood that agriculture is highly sensitive to climatic variability and likely to be affected most to predicted climate change. The fourth assessment report of Intergovernmental Panel on Climate Change (IPCC) has reconfirmed that the phenomenon of existence of climate change in recent decades is due to anthropogenic activities. It is also revealed the availability of wide array of adaptation options for agro-ecosystem to cope up with the impact of climate change. However, it is important to design more extensive adaptation strategies to reduce vulnerability of agriculture and rural poor to impacts of climate change. Climate change impacts and responses are presently observed as autonomous adaptation in the physical and ecological systems as well as in human adjustments to resource availability and risks at different spatial and trophic levels. But these strategies are not enough to reduce the current anthropogenic driven climate change, so there is a need to adopt the planned adaptation. This paper reviews the findings based on the series of studies carried across the globe on the potential adaptation strategies to alleviate the impact of climate change by improving the resilience of the agro-ecosystems. Adaptation strategies have to be in place to reduce vulnerability to climate change through developing consensus between industrialized countries and developing countries at global scale, whereas new public policies in place at national regional and local level is prudent to support adaptation research, insurances, incentives to farmers to adapt new technologies.
Effect of projected climate change on mustard (Brassica juncea)
Authors: GOPAL KUMAR  , N.V.K. CHAKRAVARTY  , R. S. KUROTHE  , D. R. SENA  , K. P. TRIPATHI  , TARUN ADAK  , DIPANWITA HALDAR  , ANURANJAN
Published: May 2022

Mustard is one of the most important rabi season oilseed crops and contribute about 30 per cent of totaloilseed production. It is very sensitive to weather variable. The likely climate change may have varying effect onmustard production. Info Crop a process based crop imulation model was calibrated and validated with experimentalcrop data of 2003-04 to 2006-07 rabi seasons with different dates of sowing at IARI, New Delhi. PRECIS downscaled,baseline weather data for period 1961-1990 and projected A2a scenario data for the period 2071 to 2100 for thegrid covering experimental site were used for computing magnitude of climate change and the same was used forcomputation of weather data for period of 2071 to 2100 using actual observed data of baseline period. Annualmaximum temperature is likely to rise by 5.25°C with maximum of 7.55° for November and minimum 3.21°C for May.Similarly minimum temperature is also likely to rise by 4.83°C with highest increase of 6.34°C during February. Cropsimulation suggests no or little change in mustard production under unlimited soil moisture and nitrogen conditions,but higher coefficients of variation (33%) shows unstable crop performance. Under rainfed condition which ismarked by either one pre-sowing irrigation or sowing on favourable residual moisture mostly practiced in significantpart of mustard growing area, crop yield is likely to reduce by 81% and crop performance is highly unlikely to bestable (116 % CV). Crop duration is also likely to reduce by 25 to 30 days, mainly due to fast accumulation of thermalunit (GDD) required for crop maturity.
Spatial wheat yield prediction using crop simulation model, GIS, remote sensing and ground observed data
Authors: K. N. CHAUDHARI  , ROJALIN TRIPATHY  , N. K. PATEL
Published: May 2022

A study was conducted with a broad objective of developing and demonstrating a methodology for crop growth monitoring and yield forecasting which can provide periodical crop growth assessment with spatial information. The procedure was developed to generate grid-weather, link the point based simulation model WOFOST (World Food Studies) to spatial inputs like crop, soil and weather and predict wheat yield at grid and administrative scale. Two approaches were adopted to predict wheat yield; a) the regression approach, in which simulated potential yields were regressed with final estimated yields by Directorate of Economics and Statistics (DES) for each of the six major wheat growing states and b) forcing approach in which LAI for each grid (25km x 25km) derived from remote sensing was forced into the simulation model to divert the simulation output and final grain yield into right direction. The deviations between the estimated state yield and reported yield were more in case of the forcing (0.7 – 25.4 %) as compared to regression approach (0.5 – 9.2 %). However, the spatial variability at grid level was explained more in case of forcing approach. Results indicated that regression approach is suitable for in season yield forecasting at state level and forcing approach is better for spatial crop condition assessment and crop growth monitoring.
Prospects of growing yellow sarson under rainfed condition in the new alluvial agroclimatic zone of West Bengal
Authors: BARNALI SAIKIA  , ABHIJIT SAHA
Published: May 2022

Using 100 years of weekly rainfall data for Baharampur, profile moisture at sowing were simulated for coarse, medium and fine textured soils for six different sowing weeks starting from 38th (Sep 17 – 23) standard meteorological week (SMW) at two weeks interval and associated climatic risk was quantified using climatological water balance approach for yellow sarson, an important rainfed rabi crop of West Bengal. Same database was also used to run a FAO crop specific water balance model at weekly time steps to assess model outputs for Binoy variety. Yield prospects were estimated from water requirement satisfaction index (WRSI). At least 100 mm moisture is present to start sowing upto 42nd and 46th SMW in medium and fine textured soil respectively, at 75 percent probability level, for good initial growth of the plant. At least mediocre crop yield, in every alternate year, is possible when sown upto 40th SMW in medium and upto 44th SMW in fine textured soil. Prospect of getting good yield exist in more than 20 percent of the year if sown within 7th October in fine textured soil.
Crop weather model for sustainable groundnut production under dry land condition
Authors: M. B. RAJEGOWDA  , N. A. JANARDHANAGOWDA  , B.T. RAVINDRABABU  , J. GIRISH
Published: May 2022

A crop weather model to predict the growth and pod yield of groundnut based on the dry matter accumulation at each growth stages has been developed. The multiple linear regression equations relating to GDD, SSH and AET with the accumulated dry matter production during each growth stage and also the final pod yield of kharif crop were generated by using the field experimental data for the period of 2000-2008. The coefficient of determinants indicate that the climatic parameters and the initial TDM used to estimate the final TDM in each stage and could be able to predict an extent of 77 to 98 per cent (coefficients of determinants) in different growth stages. Comparison of the observed and the predicted yields indicates the close agreement between them in all the stages. Considering the observed TDM up to the first four stages and predicted the Total Dry Matter at the harvesting stage. The model has been validated for the year 2009, and there is a good agreement between the observed and the predicted crop yield. The favorable influence of AET at the beginning of peg initiation and peg formation stage, and higher GDD during pod formation and harvest stages were noticed. The increase in AET during pod filling stage did not favor to the pod yield.
Assessment of seasonal efficacy of different evaporation retardants in semi-arid tropics
Authors: M. L. JAT  , R. SAMMAURIA  , G. R. MARUTHI SANKAR  , A. K. KOTHARI  , S. K. SHARMA  , J. K. BALYAN  , P. K. MISHRA
Published: May 2022

An experiment was conducted in 2007–08 at Arjia, Rajasthan to evaluate the efficacies of different evaporationretardants viz., Maize stover (6 kg m-2), Burnt oil (2 mm thick film), Poly film (50 micron), Cetyle alcohol(2.2 kg ha-1) and Control in reducing evaporation from surface of water bodies. Results revealed that there wassignificant relation between evaporation retardants and control treatments in pre-monsoon, monsoon and postmonsoon seasons. Due to application of different evaporation suppressants, on an average, maize stover resulted in lowest evaporation of 2.75 mm day-1, followed by poly film (2.94 mm day-1) and burnt oil (3.89 mm day-1). As compared to control, cetyle alcohol as surfactant resulted in the lowest mean reduction (31.3%) in evaporation. On an average, the maize stover caused mean reductions in evaporation to the tunes of 59 and 58% over different seasons in comparison with open pan evaporation and control treatments, respectively. Thus it is concluded that application of maize stover is proved to be the most effective method for suppression of evaporation from freewatersurfaces.
Agrometeorological indices in relation to phenology of aerobic rice
Authors: G. SREENIVAS  , M. DEVENDER REDDY  , D. RAJI REDDY
Published: May 2022

Field experiment was conducted during kharif seasons of 2003 and 2004 at College farm, College of Agriculture, Rajendranagar, Hyderabad to study the phenology and, heat and radiation use efficiency in aerobic rice. Crop was sown on four different dates viz., 16 June, 26 June, 07 July and 18 July as main plots and two varieties viz., Jagtiala Sannalu and Polasa Prabha as sub-plots in split plot design and replicated thrice. Results revealed that, from emergence to physiological maturity, Jagtiala Sannalu has accumulated mean growing degree days of 2017+55 and heliothermal units of 11526+817 with coefficient of variation of 3% and 7%, respectively. While Polasa Prabha has accumulated 2102+33 mean growing degree days and 12031+716 heliothermal units from emergence to physiological maturity with coefficient of variation of 2 % and 6%, respectively. In both the cultivars i.e.,Jagtila Sannalu and Polasa Prabha higher heat use efficiency (6.61 and 6.29), heliothermal use efficiency (1.30and 1.19) and radiation use efficiency (6.28 and 5.88) were obtained in crop sown on 16 June. In Jagtila Sannalu and Polasa Prabha, physiological maturity can be predicted using AGDD HTU which accounted for 84% and 86% varibility.
Agro meteorological indices influenced by different sowing dates, irrigation and fertilizer levels under late sown Indian mustard in western Haryana, India
Authors: PRAMOD KUMAR  , SURESH KUMAR  , V. S. HOODA  , NEELAM  , ANIL KUMAR  , S.K. THAKRAL  , SHEILENDRA KUMAR  , PARDEEP KUMAR
Published: May 2022

A field experiments was carried out during 2018-19 and 2019-20 at Agronomy Research Farm, CCS HAU, Hisar. To compute the temperature based agrometeorological indices for Indian mustard sown under different growing environments along with Split plot design. Two sowing environments imposed through different sowing dates (2nd week of November and 4th week of November) and two irrigation levels (One irrigation at flowering stage and No post-sown irrigation) in main plots and four fertilizer levels (87.5%, 100%, 112.5% and 125% RDF) in subplots and replicated thrice. Crop sown during 2nd week of November had significantly higher agrometeorological indices (GDD, HTU, Tphoto, Tnycto and TIDR) values over 4th week of November sowing. Among irrigation levels, one irrigation performed better with respect to agrometeorological indices. Among fertilizer levels, application of 125% RDF exhibited significantly higher agrometeorological indices followed by 112.5%, 100% and 87.5% RDF. The seed yield and biological yield were highly significantly co-related with the accumulated GDD (0.95** and 0.95**), HTU (**0.83 and 0.83**) Tphoto (**0.96 and 0.96**), Tnycto (**0.953 and 0.951**) and TIDR (0.970** and 0.970**) clearly suggesting thereby the significant effect of these indices on the mustard crop. These indices can therefore very well used as indicators of crop performance, once these relationships are quantified and tested.
Effect of rainfall and temperature on sun burn and fruit cracking in litchi
Authors: LAL NARAYAN , SAHU NISHA , KUMAR ABHAY , PANDEY SHESHDHAR
Published: May 2022

The sun burn and fruit cracking in litchi were high in 2019 (10.5% and 10.1%) when temperature was high with low rainfall during fruit growth while low in 2017 (1.9% and 3.7%) when temperature was low. Lack of soil moisture and high temperature reduced the fruit weight in Kasba cultivar by (26.2%) and rainfall induced cracking in the cultivars Bedana and Early Bedana. The cultivars having higher relative water content and cuticle thickness reflected in low fruit cracking and vice-versa. These results may be helpful to identify suitable cultivars for preventive measures to reduce sun burn and fruit cracking in litchi.
STRATEGI PENGEMBANGAN USAHA SAPPORO PATISSERIE DI BANDAR LAMPUNG PADA MASA PANDEMI COVID-19
Authors: Natasya Stefanny , Ali Alam Iskandar
Published: May 2022

Tujuan dalam penelitian ini adalah untuk mengetahui strategi pengembangan usaha untuk meningkatkan penjualan Sapporo Patisserie di masa pandemi Covid-19. Metode penelitian ini berupa metode penelitian kualitatif. Populasi adalah pemilik usaha dan karyawan yang bekerja di Sapporo Patisserie dengan jumlah populasi sebanyak 9 orang. Alat analisis yang digunakan adalah analisis swot dan diagram cartesius. Hasil penelitian menunjukkan Sapporo Patisserie berada di situasi yang sangat menguntungkan, yaitu dalam masa pertumbuhan yang memiliki kekuatan dan peluang (Strength dan Opportunity).
PERLINDUNGAN HUKUM ATAS HAK PRIVASI DAN KERAHASIAAN IDENTITAS PENYAKIT BAGI PASIEN COVID-19
Authors: Maria Maddalena Simamora Indah
Published: May 2022

Covid-19 patients are just like any other disease patient. Covid-19 patients also have the same rights and obligations as other patients. As in the Law of the Republic of Indonesia Number 36 of 2009 concerning Health in Article 5 paragraphs 1 and 2 "Everyone has the same rights in obtaining access to resources in the health sector." "Everyone has the right to obtain safe, quality, and affordable health services." Basically, every patient has the right to privacy and confidentiality of the illness they suffer, including their medical data. This is regulated in Article 32 letter i of Law Number 44 of 2009 concerning Hospitals. Constitutionally, the State protects the privacy and data of citizens. Everyone has the right to personal protection, family, honor, dignity and property under his control, and has the right to a sense of security and protection from the threat of fear to do or not do something which is a human right. this indirectly makes the state has a legal obligation as the personal protector of every citizen. It should be understood that one of the hospital's obligations is to respect and protect the rights of patients. Violation of the hospital's obligations will be subject to administrative sanctions in the form of a warning, written warning, or fine and revocation of the hospital's permit. Thus, if the hospital does not protect the identity of its patient who is positive for COVID-19, the hospital may be subject to administrative sanctions. In the event that the perpetrator of spreading the patient's identity above is a doctor or dentist who intentionally does not fulfill the obligations in Article 46 paragraph (1) and Article 51 letter c of Law 29/2004, then they can be punished.
Inovasi Layanan Pembuatan Surat Keterangan Catatan Kepolisian (SKCK) Berbasis Online Di Kepolisian Resor Kabupaten Sukabumi
Authors: Paris Rajim , Suparman Nanang , Wahyu Fitri Pebriani
Published: May 2022

SKCK Online merupakan inovasi yang dilakukan Mabes Polri untuk diimplementasikan di lingkungan kepolisian dengan tujuan untuk memudahkan dalam memberikan pelayanan kepada masyarakat. Namun berdasarkan data yang diperoleh, animo masyarakat terhadap SKCK Online di Polrestabes Sukabumi masih sangat kecil. Penelitian ini bertujuan untuk mengetahui inovasi dan menganalisis faktor-faktor apa saja yang menghambat penerapan inovasi.  Penelitian ini merupakan penelitian deskriptif kualitatif dengan teknik wawancara dan observasi. Penelitian ini dianalisis dengan melihat komponen-komponen SOP yang meliputi: persyaratan layanan, mekanisme, prosedur, waktu penyelesaian, biaya layanan, produk layanan, penanganan keluhan dan saran, infrastruktur, kompetensi pelaksana, jumlah pelaksana, jaminan layanan.  Hasil penelitian menunjukkan bahwa tidak menunjukkan kesesuaian antara mekanisme dan prosedur pelayanan yang lama, kompetensi pelaksana, dan jumlah pelaksana. Dan faktor penghambat implementasi inovasi masih dipengaruhi oleh ketergantungan yang berlebihan pada kinerja tinggi, teknologi yang tersedia, tetapi terkendala oleh budaya atau organisasi, kurangnya penghargaan atau insentif, ketidak mampuan menghadapi resiko dan perubahan, keterbatasan anggaran dan perencanaan serta dipengaruhi oleh faktor eksternal yaitu pandangan masyarakat. Saran yang diberikan adalah: membuat pembagian tugas dan tugas pada Service Center SKCK agar tidak ada kesan “kerja sambilan” akibat pembagian kerja yang tidak jelas, perlu merekrut pegawai, merubah tampilan print out bukti pendaftaran online oleh pemberian tanggal, memberikan pelatihan khusus kepada seluruh petugas pelaksana SKCK Online, memberikan hadiah kepada petugas pelaksana SKCK Online, membuat loket khusus bagi pengguna SKCK Online, bekerja sama dengan Dispendukcapil, terus melakukan sosialisasi SKCK Online.
COVID-19 and its Economic toll on Women Workforce
Authors: Kumari Meenu
Published: May 2022

Due to the gender segregation of economic activity in many countries, the COVID-19 epidemic has had a negative influence on both women's and men's employment at different periods of the crisis. When the COVID-19 pandemic struck India in the middle of 2020, it was the dispossessed, the already- disadvantaged, who suffered the most. The situation was particularly difficult for corporate executives, working women, and ambitious female entrepreneurs who had to balance two jobs. According to the 2021 Opportunity Index Report, more than 40% of women have been affected by the artificial development of dual task. Female labour workforce participation in India was reported by the World Bank in a report released in June 2020. After the pandemic began, predictions became more pessimistic. According to the report, women were 7 times more likely than men to lose their employment due to lockdown and 11 times more likely than men not to return to work when the crisis had passed and presumed normalcy had returned. During the epidemic, the majority of these women apparently gave up on their own. This research emphasises the relevance of economic implications on women's workforce owing to Covid-19, as everyone faced extraordinary obstacles during the pandemic, but women bore the brunt of the economic and social consequences. Keywords-Women workers, Gender equality, Covid-19, women rights, social protection, employment, equal employment opportunity.
IPP IMPROVEMENT AT PRIMARY AND SECONDARY SORTING STATION IN FLIPKART
Authors: Rastogi Sumit
Published: May 2022

This research is conducted in order find out the reasons for hurdles in IPP improvement and ways to improve them. IN each 8-hour shift in Motherhub people working on Primary and secondary stations for sorting purpose are supposed to segregate the shipments based on the destinations of the shipments for that they are using scanners, there IPP is a way to monitor their productivity. The pre-existing methods which were in use in Flipkart (Motherhub_JKS) were not able to calculate individual IPP, they were using IPP calculation on average basis. This method was unable to track the individual IPP of each person, as management was unable to pin point the good performers and the bad performers. As a part of this research a tracker was developed with help of a software named as Arkham to monitor the productivity of each individual.
The Impact of Motivation Programs on Employees Performance
Authors: QUADRI TABINDA
Published: May 2022

The research is primarily intended to examine the impact of motivation on employee performance. The research is basically carried out to determine the level of effect motivation has on employee performance Employees are the heart of any organization. For any organization to operate smoothly and without any interruption, employee cooperation cannot be replaced with anything else. It is of utmost importance that the employees of an organization not only have a good relationship with the top management, but also they maintain a healthy and professional relationship with their co-workers. The following study is a self-conducted research on how motivational tools impact the performance of employee for betterment. The study also focused on de-motivation factors affecting employee performance negatively. A sample of individuals was selected and was interviewed with a self- administrated questionnaire to obtain primary data. The data was analysed using descriptive statistical analysis methods. The results obtained indicate that if employees are positively motivated, it improves both their effectiveness and efficiency drastically for achieving organizational goals. KEYWORDS: Employee, Employee Engagement, Decision making, Motivation, Productivity, Organizational goals, Organizational Performances and Job satisfaction, etc.
E-Library Management System
Authors: Gumgaonkar P.S.
Published: May 2022

Internet and Distributed Network System created scope for research in the area of information systems and its related fields. Digital Library, one of the most recent developments in Library and Information Science, helps its user to seek information through a web browser. Digital Library is an organized assortment of information, with its supported services and a place where the information is kept in digital format and can be retrieved over a network. For the last decade, researchers are focusing on the users of Digital Library to develop a more efficient and effective system to provide quality service to users. This paper aims to provide literature on Digital Library for its users that may be helpful for future research. The paper discusses the users-centric approach in the context of Digital Library. Researchers are working on system up-gradation by using wireless technology to connect with end-users directly with libraries. Further, other areas such as user Perception, Attitude, Adoption, and Satisfaction with the digital library are also discussed. Keywords — Digital Library, Users centric approach, Users satisfaction strategic planning Users perception; Digital library literature.
Sign Language Recognition and Interpretation System
Authors: Gaye Sakshi
Published: May 2022

Sign language is a visual language that individuals with speech and hearing difficulties use to communicate in their daily conversations. Through its original grammar, it is totallyan optical communication language, as opposed to vocal languages. This study report proposed an effective strategy to accomplishing the translation of 24 static sign language alphabets and numerals of American Sign Language into humanoid. Researchers are now focusing their efforts on building commercially viable Sign Language Recognition systems. Researchers use a range of techniques to perform their research. It all starts with the methods of data acquisition. The data collection method varies depending on the cost of a suitable device, however for the Sign Language Recognition System to be commercialized, a low-cost strategy is required. The methods used by researchers to develop Sign Language Recognition varied as well. Each approach has its own advantages over others, and researchers are continually experimenting with various methods to produce their own Sign Language Recognition. Each approach has its own set of limitations when compared to others. The purpose of this study is to examine several ways to sign language recognitionand choose the optimal method. Keywords — Feature Extraction and Representation, Artificial Neural Networks, Convolution Neural Network, TensorFlow, Keras, OpenCV.
ROLE OF BLOCKCHAIN
Authors: Nigam Ayushi
Published: May 2022

At present, with the rapid development of the Internet structure, the topic of information technology together with the concept of digitalization has become important for enterprises. Arguably, the technological advancements that make digitization possible have contributed to the digital transformation of business models. The concept of digital transformation has surfaced as an area where businesses have been working hard. Digital transformation refers to the overall transformation of a business based on mortals, business processes and technology to provide more efficient and effective services. Therefore, blockchain, known as a disruptive technology, is of great significance for icing on the cake for the digital transformation of enterprises. In this study, some decisions have been made to abandon blockchain technology. Many industries, such as finance, pharmaceuticals, manufacturing, and education, use blockchain operations to benefit from the unique properties of this technology. Blockchain technology (BT) promises benefits in accountability, collaboration, association, identification, trustworthiness and transparency. We also review the literature and promising blockchain-based open intelligence systems to describe the current state of exploration. To this end, we specifically examine these systems for their applicability and contribution to open intelligence, and categorize them according to their primary purpose. Keywords: blockchain technology; digital metamorphosis; blockchain advantages and challenges
Predicting Safeness of Women in Indian Cities using Machine Learning
Authors: P Nanditha
Published: May 2022

As we all know ladies and women area unit annoyed everyplace in each a part of the cities. ladies or lady within the country thinks about with characteristic. though she is worshiped and she or he plays several roles and however, she isn't safe. This base paper chiefly concentrate on the way to promote the characteristic for ladies’ victimization social media platforms to market women safety. Here, we tend to chiefly concentrate on twitter platform. As we all know many ladies raise their problems within the social media platform like twitter that has hash tags wherever it reaches the message to everyone seems to be one in all the most effective platform were women tell their unsafe facing publicly transport, college, work space etc. we tend to predict the characteristic however ladies feel victimization twitter knowledge whether ladies feel unsafe. Key Words: Women, safety, Sentiment analysis.
Big Data Processing and Data Analytics
Authors: Shaw S Sheik Mohammed
Published: May 2022

All applications in current trends need to use Machine Learning and Big Data in this huge data world.Machine learning is a type of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so.Machine learning use historical data as input to predict new output values.Small Scale and even large developers cannot maintain Machine Learning Algorithms and other big data processing techniques all by themselves.To harvest, process and analyze the data we need a data processing engine.Our project is to provide them with a machine learning engine which runs on.a specified port on their servers which collects the data sets in real time.This which can be queried using a simple Query Language and analyze the database on the query.The purpose of our project is to create a Data Processing Engine for Big Data Analytics. Machine learning and Big Data plays a major role in the current huge data world. Our project is to maintain a dedicated machine learning and data processing engine, so that even small developers without the knowledge of machine learning and big data analysis can produce expected results based on Machine Learning to make their application smooth. All applications in current trends need to use Machine Learning and Big Data in this huge data world. Machine learning is a subset of artificial intelligence that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning uses historical data as input to predict new output values. Small Scale and even large developers cannot maintain Machine Learning Algorithms and other big data processing techniques all by themselves. To harvest, process and analyze the data we need a data processing engine. This project is to provide them a data processing engine which runs on a specified port on their servers which collects the data sets in real time. This can be queried using a simple Query Language and analyze the data and produce respected results using ML based on the query
Virtual Mouse using Hand Gesture to avoid Infectious Diseases
Authors: Prof K. N. Tayade
Published: May 2022

One of the most astonishing Human-Computer Interaction (HCI) inventions is the mouse. A wireless mouse or a Bluetooth mouse now require devices and are not completely free of gadgets because they rely on a battery for power and a dongle to connect to a PC. This problem can be solved in the proposed AI virtual mouse system by capturing hand motions and recognising hand tips with computer vision utilising a webcam or a built-in camera. In the system's algorithm, the machine learning algorithm is used. Hand movements can be used to control the computer remotely, and it can perform left click, right click, scrolling operations, and computer cursor functions without the need for a hardware mouse. Deep learning is used by the system to detect hands. As a result, by eliminating human influence, the proposed technique will prevent the spread of COVID-19 and other infectious diseases. In this paper, we have discussed the implementation of AI virtual keyboard and mouse system that uses computer vision to perform mouse functions in a computer by using hand gestures and fingertip detection. Keywords —Machine Learning, OpenCV, Media pipe, Hand tracking, Python
Automated Face Detection System for Presence Marking using OpenCV
Authors: Journal IJSREM
Published: May 2022

The main objective of this project is to create a real-time face monitoring system for face recognition of educational institutions and offices in order to develop and improve the current attendance system to be more efficient and effective than ever before. The old system now has a lot of ambiguity that has led to inaccurate neutrality and inefficiency. The most difficult task for any organization is to mark attendees This background technology will be a real- time face recognition system. A person's face is one of the natural features that can identify a person differently. Therefore, it is used to track identification as the chances of the face turning or recurring are low. This program can be used to go to educational institutions and offices using real- time face recognition with the help of Python, OpenCV, Web Cam, and Excel file. Common methods such as eigen faces and fishermen's faces are sensitive to light, sound position, blockage, light etc. So, we used Python and AI to see real- time face recognition and overcome those difficulties. Attendance records will be automatically updated and stored on an excel sheet Key Words: Real-time attendance System, OpenCV, NumPy, Excel, Face-recognition.
Hybrid Power Generation by Using Solar and Wind Energy
Authors: Garg Abhishek
Published: May 2022

This paper centres around an incorporated half breed sustainable energy framework comprising of wind and sunlight-based energies. Many pieces of Libya have the potential for the advancement of monetary power age, so maps areas were utilized to recognize where both breeze and sunlight-based possibilities are high. The point of convergence of this paper is to portray and assess a breeze sun-oriented mixture power age framework for a choose area. Network tied power generation frameworks utilize sun-based PV or wind turbines to create power what's more, supply the heap by associating with the framework. In this review, the HOMER (Half and half Streamlining Model for Electric Inexhaustible) PC displaying programming was utilized to display the power framework, actual way of behaving, and life cycle cost. PC displaying programming was utilized to show the power framework, its actual way of behaving, and its life cycle cost. The mixture power framework was intended for a structure at the College of Al-Marj (MARJU). Through the utilization of re-enactments, the establishment of ten 100-kW wind turbines and 150-KW sun powered PV was assessed. Energy is basic to the monetary development and social advancement of any country. Native energy assets should be created to the ideal level to limit reliance on imported fills, likely to settling economic, natural and social imperatives. This prompted an expansion in research and improvement as well as interests in the sustainable power industry looking for ways of satisfying the energy need and to decrease the dependency on petroleum products. Wind and sun-oriented energy are becoming famous owing to the overflow, accessibility, and simplicity of bridling the energy for electrical power age. Key Words- Renewable Energy, Libya, Combination of solar & Wind Energy, Hybrid System
Measurement of Stresses and Strains by Strain Gauge using IoT Platform
Authors: Journal IJSREM
Published: May 2022

Mechanical components are exposed to various loading conditions henceforth it is important to ascertain the qualities to stay away from disappointment in the design. A part falls flat on account of axial stress, twisting pressure, and torsional stress. The work introduced here targets fostering a test apparatus to gauge the twisting pressure created in a cantilever beam. The test rig utilizes strain measure in Wheatstone full extension arrangement to detect the deformity. Information Acquisition System is utilized to gauge the pressure because of point load. Experimental and theoretical outcomes are in close understanding and the Flexural formula was effectively approved. Keywords: Bending stress, mobile application, Strain gauge, Wheatstone network.
WatchDog- A Smart Surveillance System
Authors: Journal IJSREM
Published: May 2022

In the modern world, security and privacy are the major concerns. Due to this, security cameras are installed in all public places to monitor any suspicious activities. But the general public does not know who is behind the screen watching them, monitoring their every move. It raises both securities as well as privacy issues. Another major issue regarding security is CCTV cameras are installed in public places only. Everyone cannot afford to hire someone to monitor their homes and alert them. This makes people at risk even in their homes. These issues lead to the development of WatchDog. WatchDog is a computer vision-based smart camera surveillance system that can monitor any suspicious activity and warn the owner about it. It uses python as its base language and uses OpenCV and skimage.metric library to capture any movement within its scope of vision. It is a simple yet effective program that can resolve many issues regarding security and privacy. Key Words: Python, OpenCV, Smart-Surveillance System
AUTOMATIC FLOOR CLEANING MACHINE
Authors: Kadbhane Snehal V.
Published: May 2022

With the advancement of technology, floor cleaning machine are getting more attention of researchers to make life of mankind comfortable. In early day a floor is clean by using a broom which is operated by human hand and in this a continuous movement of human hand is required which create fatigue and time consuming. Cleaning of floor is important for our health and this floor cleaning machine minimize our effort which require for cleaning that’s why this project is very much useful in our daily life. Also there is need to design and develop a floor cleaning machine which is cost effective. Current project work focuses to use semi-automatic floor cleaner for large floor in auditorium, colleges, malls and office floors. This machine is capable of performing cleaning of floor in dry as well as wet condition. The cleaning purpose is specifically carried out by continuous relative motion between a scrubber and the floor surface. This Semi-automatic floor cleaning machine is designed by keeping the basic considerations for machine and efforts reduction, environment friendly and easy handling. This project is based on development and manufacturing of semi-automatic floor cleaning machine which will work on electricity. Key Words: floor cleaning, cost effective, efforts reduction.
Lip Reading using Convolutional Neural Network
Authors: Journal IJSREM
Published: May 2022

Lipreading is that the task of understanding speech by analysing the movement of lips. instead, it can be represented because the method of secret writing text from visual info generated by the speaker’s mouth movement. The task of perception depends conjointly on info provided by the context and data of the language. Lipreading, conjointly called visual speech recognition could be a difficult task for humans, particularly within the absence of context. many apparently identical lip movements will turn out totally different words, thus perception is associate inherently ambiguous drawback within the word level. Even skilled lipreaders come through low accuracy in word prediction for datasets with solely a couple of words. machine-driven perception has been a subject of interest for several years. A machine that may browse lip movement has nice utility in varied applications such as: machine-driven perception of speakers with broken vocal tracts, biometric person identification, multi-talker coincidental speech secret writing, silent-movie process and improvement of audio-visual speech recognition normally. Here we've used Convolutional Neural Network (CNN) from deep learning. The advancements in machine learning created machine-driven perception attainable. Also, we've used MIRACL-VC1 Dataset for our reference. The accuracy of our project came dead set as 76%. Key Words: convolutional neural network, deep learning, lip reading, converting speech to text, open CV, keras.
Application of PEEK Material in Alloy Wheel and its Static Analysis
Authors: RAJVAIDYA ROHIT , KUSHWAHA AMIT KUMAR , BARODE SHYAM , SHARMA SHUBHAM
Published: May 2022

Thermoplastic composites have great significance in automotive market due to their recyclables and high performance. PEEK composites actually ‘Polyetheretherketone’ have been extensively studied because of the excellent taluminium spokesological behavior among plastics. PEEK polymer, is increasingly used in many industrial applications as a replacement for metal and other components. In this experiment, attention is given to mechanical properties of PEEK, So as to analyze performance of the prototype components in actual field condition and shows encouraging results by using Finite element methods.
THE RELATION BETWEEN NURSE THERAPEUTIC COMMUNICATION WITH PATIENT SATISFACTION AT JATIROTO PUSKESMAS, LUMAJANG
Authors: Umi Kulsum Siti , Purnama Yugi Hari Chandra , Atik Maryati Syska
Published: May 2022

Therapeutic Communication is defined as nurses communication techniques to provide support and information to patients aims to therapy. When the nurses provide good communication, it will bind a good relation between nurses and patient so that the patient will be satisfied with the services. This research aims to determine the relation between nurse therapeutic communication with inpatient satisfaction at Jatiroto publich health centre, Lumajang. This research was using correlational design with cross sectional approach. The sampling method was using incidental sampling and sampling technique was using nonprobability sampling. The data collection was conducted by observational and questionnaires. The result of this research shows that 73,3% nurse therapeutic communication are in good category and 26,7% nurse therapeutic communication are in passably category. The satisfaction level of patient 53,3% are satisfied, 13,3% are unsatisfied and 53,3% are very unsatisfied. The statistic analytical by Spearmean Rank was obtained p value 0.046 <0.05, it means there is a relation between nurse therapeutic communication with inpatient satisfaction at Jatirotopublich health centre, Lumajang.It means that the better nurse's therapeutic communication is,  the more satisfied the patient is. Nurse's therapeutic communication is in  good category and patient satisfaction is in satisfied category. The practice of health services through therapeutic communication by nurses at the Puskesmas is an example and a small part of the lessons and application of Akhlaq in a profession.
BURNOUT LEVELS IN ONLINE LEARNING AT NEW NORMAL ERA OF COVID-19 PANDEMI USING ARCHERY AS PLAYING CONCEPT ON SMP-IT IBNU SINA WULUHAN STUDENTS
Authors: Akhmad Efrizal Amrullah , Warsito Sugiono , Farda M Luthfi
Published: May 2022

The Covid-19 pandemic requires SMP-IT Ibnu Sina Wuluhan students to carry out online learning at home to reduce transmission of the virus. Many problems occure from the policy such as: tasks that must be completed in a short time, rigid study hours, limited quotas and gadgets and signal constraints that cause burnout in students. One way to overcome this problem is doing archery as playing concept. The purpose of this study was to determine the effect of archery on reducing burnout levels. The research took place at SMP-IT Ibnu Sina Wuluhan using a quasi-experimental one group pretest-posttest design method and was held in February-July 2021. 64 respondents used as total sample. The results showed a decrease in the level of burnout after doing archery. The analysis test using the Wilcoxon Signed-Rank and shows the Asymp. Sig value. (2-tailed) 0.000 at alpha value (α) < 0.05 so Ho is rejected. Thus, there is an effect of playing archery on reducing the level of burnout. Burnout is a serious problem in online learning so it requires proper handling because it has an impact on learning and student achievement. The learning process must be carried out calmly and comfortably so that it can improve the quality of students. Archery, which is packaged with the concept of playing, can be one way to reduce burnout levels during online learning. This archery sport focuses as a means of entertainment that can provide a sense of pleasure and comfort.
A STEAM Learning with Digital Fabrication Laboratory on Cloud Computing Model to Enhance Creative Product
Authors: Sopapradit Sunti , Wannapiroon Panita
Published: May 2022

This research developed a model of steam learning with digital fabrication laboratory on cloud computing model to enhance creative product. The objectives of the study were: 1) To create the model, and 2) To evaluate a model. This research method was two parts. The first part about the design’s model had four subs: 1) to study and synthesize the relevant documents in this research such as steam, digital fabrication laboratory, cloud and creative product. 2) to develop a process in the model, 3) to present the process model with experts to get it approved to be able to hold in-depth interviews, and 4) to create the tools for assessing the model. The second part is referred to as model evaluation. The sample group has five experts who consist of Information Technology and Instructional Design. Then, this research uses means and standard deviations to analyze data. The process’s model has nine procedures in three components. The experts assed of the model overall found were a good level that the model could help learners in building creativity skills.
Nghiên cứu tận thu hạt từ tính từ băng từ (cassette) phế thải
Authors: Nhan Lê Thị Hồng , Anh Nguyễn Thái , Anh Phan Nguyễn Quỳnh
Published: May 2022

Trong nghiên cứu này, quá trình tận thu bột từ tính từ nguồn nguyên liệu là băng cassette phế thải bằng cách sử dụng dung môi hữu cơ thông dụng rẻ tiền đã được thực hiện. Nghiên cứu đã khảo sát nhiều thông số để tìm ra điều kiện thuận lợi cho quá trình tận thu bột từ tính như: các loại dung môi khác nhau, thời gian ngâm dung môi, nhiệt độ. Kết quả tốt nhất có thể đạt được là 1,5312g bột từ tính trên 3,3000g nguyên liệu, khi khuấy nguyên liệu trong dung môi acetone ở điều kiện đun sôi hoàn lưu trong thời gian 4 giờ. Ngoài ra, nghiên cứu còn tiến hành phân tích một số đặc tính cơ bản của bột từ thu được bằng các phương pháp hiện đại như: phương pháp phổ nhiễu xạ tia X (XRD), phân tích nhiệt trọng lượng (TGA), kính hiển vi điện tử truyền qua (TEM), khảo sát đường cong từ trễ bằng phương pháp từ kế mẫu rung (VSM-Vibrating Sample Magnetometer).
Micro Health Insurance Among Rural Women
Authors: Deepa V.  , Sridevi M.
Published: May 2022

The study determined the level of awareness and satisfaction with micro health insurance among rural women in the Puducherry Union territory. Using survey methods, primary data was acquired from insured members via a questionnaire. With the help of SPSS 20.0, a Chi-Square analysis was performed to determine the level of awareness and satisfaction, as well as demographic and socioeconomic characteristics. The findings imply that boosting knowledge is a key prerequisite for voluntary participation in MHI schemes, and that interactive, contextualised awareness tools might help people better understand insurance. The research indicates that the Puducherry Union Territory's microhealth insurance scheme can be an effective instrument for increasing health among rural women.
PENGARUH BIAYA IJARAH TERHADAP KEPUTUSAN NASABAH MELAKUKAN GADAI EMAS DIPEGADAIAN SYARIAH
Authors: Mulyani Rizki
Published: May 2022

Ijarah fee is a rental fee that must be paid by customers in conducting gold pawn transactions. The amount of the ijarah fee is determined based on the results of the estimated value of gold, so that the relatively low cost of ijarah for customers will make it easier for customers to do financing. The cost of ijarah (rent) according to Muhammad Ngasifudin is the cost of renting a place provided by the pawnshop for goods that have been pawned by the customer.27 So, the cost of ijarah at a sharia pawnshop is the rental fee for the goods that are pawned as a place to store the goods as long as the goods have not been redeemed. by the owner. Judging from the above phenomenon, the Ijarah Fee can be taken into consideration for customer decision making to pawn gold at a sharia pawnshop. The purpose of this study was to determine how the influence of Ijarah Fees on the customer's decision to pawn gold at the Sharia Pawnshop. The number of samples in this study was 88 respondents, this study used a quantitative approach. The data collection technique in this study used a questionnaire, and the sampling technique used the incidental sampling method using the slovin formula. The data obtained were then processed using the SPSS 25 application. The results of this study indicate that the value of tcount (3.085) > ttable (1.988) and a significance value of 0.003 <0.05, which means that partially the ijarah fee variable has a positive and significant effect on the customer's decision variable in pawning gold at Pegadaian Syariah.