bluuebunny/crossref_metadata_2025 huggingface dataset:
OPTIMIZATION OF DG UNIT SIZE AND PLACEMENT IN RADIAL DISTRIBUTION NETWORKS USING AN SLFO-BPSO HYBRID APPROACH
Authors:   University of Engineering & TechnologyPeshawar, Pakistan, Zaheer Engr. Junaid , Khan Dr. Muhammad Ifthikhar ,   University of Engineering & TechnologyPeshawar, Pakistan, Hassan Jaskani Fawwad ,   Islamia University of Bahawalpur, Pakistan
Published: June 2022

The addition of distributed generation (DG) to an integrated delivery system has significantly increased the system's performance and efficiency. Researchers have proposed a number of alternative approaches to delivery system planning with DG insertion. In this article, a multiobjective approach is introduced to optimise both the delivery system operator's and the DG owner's reciprocal benefits. The reason behind this multi-objective approach is the inconsistent relationship between DG MVA rating reduction and device power losses reduction. To minimize system active power loss while also reducing DG size, the best compromise size of DGs in MVA, their operating power factors, and positions are obtained. The radial delivery system of IEEE-69 buses is called test system. Using the multi-objective Shuffle Frog Leap Algorithm (SFLA) for optimization, the Pareto-front of nondominated solutions can be found. The SFLA algorithm's efficiency is equivalent to that of the Binary PSO (BPSO) algorithm. The result of the best compromised solution of DGs placement in the delivery system is measured using various system operating indices such as active power loss, reactive power loss, and voltage variance.
ASSESSMENT OF AIR QUALITY INDEX IN A MOST POLLUTED MEGA CITY OF ASIA
Authors:   Indian Institute of Technology, Madras 600036, India, Tikle Suvarna , Panicker Abhilash ,   Indian Institute of Tropical Meteorology, Rathod Aditi ,   Indian Institute of Tropical Meteorology, Yadav Ravi ,   Indian Institute of Tropical Meteorology, Beig Gufran ,   National Institute of Advanced Studies (NIAS), Indian Institute of Science (IISC) Campus, Bangalore
Published: June 2022

A trend analysis of daily PM2.5 (aerodynamic diameter <=2.5um) for the period 2013 to 2018 has been carried out over Delhi, which is one of the most populous megacities in the world. The impact of the newly designed India specific Air Quality Index (AQI), which classifies its health implications in 6 categories, has been discussed in this study. An increasing trend in the level of PM2.5 is found during the period 2013-2015 when the worst AQI is found to dominate. The impact of policy level shift towards increased awareness leading to soft mitigation is noticed in the trend analysis, and a number of better AQI days started to increase during 2015-2018. The seasonal analysis indicates a uniform trend in each year when AQI is found to be lowest during monsoon due to wash out and highest during the winter season due to a combination of several meteorological factors and land lock geography of Delhi preventing pollutants to disperse under stagnant conditions. The study in detail illustrates how mitigation strategies are effective in controlling the air pollution issues.
A MULTI-OBJECTIVE GWO BASED CLUSTERING APPROACH FOR EFFICIENT DOCUMENT MINING
Authors:   School of Research & Technology, People's University, Rai Darshna , Sharma Dr Shailja ,   Department of Computer Science & Engineering Rabindranath Tagore University Bhopal
Published: June 2022

Learning and data mining systems often use clustering. Such applications require efficient and fast clustering algorithms. However, clustering a dataset is often a difficult task, especially for complex datasets such as text classification. Clustering is a strategy of grouping data points based on their similarities. Data clustering can be done using any clustering algorithm. However, conventional partitioning clustering algorithms greatly depend on initial points and can drift towards inefficient clustering on improper initialization. Furthermore, these algorithms are less flexible for achieving multiple objectives required for clustering the complex overlapping classes. Therefore, in this work, we proposed a Gray Wolf Optimization (GWO) based multiobjective optimization algorithm for document clustering. GWO is a metaheuristic algorithm that works in the same way that grey wolves do when hunting prey. The proposed algorithm has the advantage of easily modifying clusters based on the objectives. The performance of the proposed algorithm on the Reuters-21578 dataset demonstrates that it outperforms k-means and affinity propagation algorithms.
A STUDY ON IMPACT OF ONLINE BANKING SERVICES AMONG SENIOR CITIZENS
Authors:   Sathyabama Institute of Science and Technology, Archana S , Paulin Dr. M.Sudha ,   Sathyabama Institute of Science and Technology
Published: June 2022

Advanced banking turned into the need of the general public and the earlier worry of banking authorities. The simplicity of banking administrations accessibility adds to the progress of virtual banking. Senior residents are viewed as the less adjusted class to this change. Dread and absence of mindfulness makes a divider among them and the financial utilizing on the web stages. Banking establishments are consistently putting forth attempts to oblige them to the virtual stage. In this situation, the review estimates the mindfulness level and utilization level of web based financial items among the senior classification and their discernment previously and experience in the wake of utilizing the internet based stages. The difficulties looked by the senior residents in advanced banking are likewise remembered for the domain of this review. Tests are gathered from 52 senior residents.
COMIC READING ANDROID APPLICATION
Authors:   Terna Engineering College, Nerul, India, Patil Tanmay , Patange Kaustubh ,   Terna Engineering College, Nerul, India, Kulkarni Pranav ,   Terna Engineering College, Nerul, India, Kudikyal Ketan ,   Terna Engineering College, Nerul, India, Gaikwad Vishwajit ,   Terna Engineering College, Nerul, India
Published: June 2022

Comics are a medium used to express ideas with images, often combined with text or other visual information. It typically takes the form of a sequence of panels of images. Textual devices such as speech balloons, captions, and onomatopoeia can indicate dialogue, narration, sound effects, or other information. The size and arrangement of panels contribute to narrative pacing. Comic-Ray is a Comic and Manga reading app in which a wide range of comics and mangas (many genres) will be available in pdf format. Comics have been around since at least the 19th century. The term manga is used in Japan to refer to both comics and cartooning. Outside of Japan, the word is typically used to refer to comics originally published in the country. In Japan, people of all ages read Manga. The medium includes works in a broad range of genres: action, adventure, business and commerce, comedy, detective drama, historical, horror, mystery, romance, science fiction, fantasy sports and games, and suspense among others.
PREDICTION OF DIABETES USING MACHINE LEARNING
Authors:   Greater Noida Instuitute of Technology, Jain Sanyam , Tomar Uma ,   Greater Noida Instuitute of Technology, Chauhan Jatin ,   Greater Noida Instuitute of Technology, Gupta Avas ,   Greater Noida Instuitute of Technology, Chaudhary Nitin ,   Greater Noida Instuitute of Technology
Published: June 2022

Diabetes is a common complaint caused by a set of metabolic affections where the sugar stages over drawn-out period is veritably high. It touches different organs of the mortal body which thus harm a huge number of the body's system, in precise the blood strains and jitters. Beforehand vaticination in similar complaint can be exact and save mortal life. To achieve the thing, this exploration work substantially discovers multitudinous factors associated to this complaint using machine literacy ways. Machine literacy styles give operative outgrowth to prize knowledge by erecting prognosticating models from individual medical datasets together from the diabetic cases. Scooping knowledge from similar data can be precious to prognosticate diabetic cases. In this exploration, six popular used machine literacy ways, videlicet Random Forest (RF), Logistic Retrogression (LR), Naive Bayes (NB), C4.5 Decision Tree (DT), KNearest Neighbor (KNN), and Support Vector Machine (SVM) are compared in order to get outstanding machine literacy ways to read diabetes. Our new outgrowth shows that Support Vector Machine (SVM) achieved advanced delicacy compared to other machine literacy ways. I
A SURVEY PAPER ON PLASTIC INDUSTRY
Authors:   S.B. Jain Institute of Technology, Management and Research, Nagpur, Vogallu Devang , Nimbarte Mrudula , Sharma Ritesh , Kharbade Riteek , Raut Ritik , Jhunghare Nayan ,   Jain Institute of Technology, Management and Research, Nagpur
Published: June 2022

Today, it is normal that people have a smart phone. The public uses mobile applications for various purposes, which has become a significant part of the Ebusiness industry. A mobile application will allow you to rapidly expand your business. A mobile app will highlight your business, and frequent updates help drive customer interest in your products. It will also help you save money and effort in other kinds of promotion techniques, such as advertising in newspapers and billboards. Companies from all over the world have begun to migrate to mobile apps. To solve the problems, we are going to develop an Application for Plastic Industries. One of the main advantages of a business mobile application is that it offers greater exposure on different mobile devices at a certain point in time. This will ensure smooth operation and wellmaintained business performance in the marketplace and facilitate the promotion of products (or services).
A NOVEL EAR DETECTION TECHNIQUE IN NOISY ENVIRONMENT USING MEAN STRUCTURE SIMILARITY INDEX MEASURE
Authors:   PVP Siddhartha Inst. of Technology, Vijayawada, A.P., India, Kumari V. Ratna , Kumar Dr. P. Rajesh ,   Hyderabad Institute of Tech. & Management, Hyderabad, T.G., India, Kumari Dr. B. Leela ,   JNT University Kakinada, Kakinada, A
Published: June 2022

In this paper, an efficient automated ear detection technique that uses skin colour and templatebased methods is presented. There are two steps involved in the proposed ear detection technique. The first step in this technique is to remove non-skin pixels from the input image, which is called skin segmentation, and the second step is to detect the ear structure using Structure Similarity Index Measure (SSIM). Furthermore, the proposed technique can also be used in noisy environments to detect different shaped ears. This is made possible by creating an ear template using Principal Component Analysis (PCA) and Mean Structure Similarity Index Measure (MSSIM) for template matching and ear localization. An evaluation of the proposed technique is performed using the UND-E Database, which consists of 464 side face images of 114 subjects. It has achieved 97% accuracy in detecting the ear even when the ear image has additive Gaussian, impulsive salt-pepper and multiplicative speckle noise with variance 1/m, with template size of mxn. In particular, the proposed technique is well suited for detecting the ear image of a person moving as it can also detect the ear in motion blurred images.
ESTIMATION OF HYDRAULIC PARAMETERS IN A PROPOSED BARRAGE BY USING MATHEMATICAL MODEL.
Authors:   Vishwakarma Institute of Information Technology (VIIT), Burele Neha S , Londhe S.N. ,   Vishwakarma Institute of Information Technology (VIIT), Kunjeer P.S. ,   Central Water and Power Research Station (
Published: June 2022

Ajansara Barrage Project was proposed by M/s.Vidarbha Irrigation Development Corporation (VIDC), Nagpur under Water Resource Department, Government of Maharashtra, for Lifting Irrigation to irrigate an area of 30004 Ha of Culturable Command Area (CCA) by utilizing the water from the Wardha River in Village Ajansara, Hinganghat Taluka of Wardha District of Maharashtra State. The scheme involves a masonry barrage across Wardha River at village Ajansara with a flanked by earthen bunds on both the sides. The barrage site has a gross catchment area of 11.605 Sq. km with interception of 2618 Sq. Km. The masonry barrage has a length of 267 m with 15 nos. of vertical lifting gates of size 15 X 9.50 m. The length of earthen dam on both flanks is 3765 m. The storage is proposed against gates only, while the earthen bunds are proposed to take care of outflanking due to high floods and approach to barrage in flood period. In the present paper an attempt has been made to evaluate back water, rise in water level at barrage and effect of barrage on flood plain by using Hecras software. After taking the run of the model with and without structure and comparing, it is observed that the rise in water level is 8.73 and its backwater length is 41km
An Automated Training and Placement System
Authors:   SDM Institute of Technology, K Arjun , Fathima Mahaynoor ,   SDM Institute of Technology, . Nishmitha ,   SDM Institute of Technology, . Dharani ,   SDM Institute of Technology, . Namitha ,   SDM Institute of Technology
Published: June 2022

In order to get a good job as a fresher in his/her college life placements play an important role one of the ways of being placed is an offline notice of attending inter or intra placement drives but in this digital era it is important for such a website through which students can get messages digitally as well as it should reduce the work of placement officers this website will provide students to create their resumes and other details like projects etc the purpose of this system is to replace the manual record-keeping system by using computer software hence the data will be stored for a longer time resulting in faster access and manipulation of the data placement officer manages contacts between both students and the company person and this website also reduce the time of selection of students based on company criteria so that no student will be left in the back only because of not hearing about the opportunities.
CROP RECOMMENDATION SYSTEM
Authors:   JSPM'S Rajarshi Shahu College of Engineering Pune, . Tusharpangare , . Sujithingane ,   JSPM'S Rajarshi Shahu College of Engineering Pune, . Rohandhore ,   JSPM'S Rajarshi Shahu College of Engineering Pune, . Gauravbhore ,   JSPM'S Rajarshi Shahu College of Engineering Pune, Hingmire Amruta ,   JSPM'S Rajarshi Shahu College of Engineering Pune
Published: June 2022

: Encouraged to enter In general, agriculture is the backbone of India and also plays an important role in the Indian economy by providing a certain percentage of domestic products to ensure food security. But now-adays, food production and prediction is getting depleted due to unnatural climatic changes, which will adversely affect the economy of farmers by getting a poor yield and also help the farmers to remain less familiar in forecasting the future crops. This research work helps the beginner farmer in such a way to guide them for sowing reasonable crops by deploying machine learning, one of the advanced technologies in crop prediction. Random Forest, a machine learning algorithm puts forth in the way to achieve it. The seed data of the crops are collected here, with the appropriate parameters like temperature, humidity and moisture content, which helps the crops to achieve a successful growth. In addition to the so Gware, a mobile application for Android is being developed. The users are parameters like temperature and theirs oil condition will be taken automatically in this application in order to start the prediction process.
RISINGCASES-THE POTENTIAL CAUSE BEHIND THE WAVES
Authors:   UCMS & GTBH, Delhi, Jain Dr Charu , Mukim Dr Yasha ,   UCMS & GTBH, Delhi, Das Dr Shukla ,   UCMS & GTBH, Delhi, Singh Dr N. P. ,   UCMS & GTBH, Delhi
Published: June 2022

—The COVID 19 pandemic has caused tremendous damage. The rise in number of cases with each wave had a difference in the epidemiological profile. The aim of the study was to describe the epidemiology of SARS-CoV 2 infection in East Delhi and adjoining areas during the first and second wave and attempted to study the factors responsible for the rise in severe of cases despite initiation of vaccination. This was a retrospective chart review of all patients with COVID-19. The patients were categorized into asymptomatic and symptomatic.
CROP DISEASE DETECTION BY KERAS USING CONVOLUTION NEURAL NETWORK
Authors:   Mahatma Gandhi Mission’s College of Engineering and Technology (Mumbai University), Kolekar Kiran Annaso , Vijayanand Jagtap Siddhesh ,   Mahatma Gandhi Mission’s College of Engineering and Technology (Mumbai University), Bharat Ghutugade Shisheer ,   Mahatma Gandhi Mission’s College of Engineering and Technology (Mumbai University), Kanthe Dr. Ashok ,   Mahatma Gandhi Mission’s College of Engineering and Technology (Mumbai University)
Published: June 2022

Plants play a vital role in climate change, Agriculture industries, and a country's economy. Thereby taking care of plants is very decisive. Not only human beings but crops/plants are also carried out by several diseases caused by bacteria, fungi, and viruses. Pinpointing these diseases are take so much time and curing them is essential to prevent the whole crop from being devastated. This paper is focused on a deep learning model to dig out diseases on plant leaves. But, In the future model can be combined with a drone or any other system to live to detect diseases from plants and report these diseased plants’ location to farmers so that they can cure appropriately. All-important steps which are required to carry out disease recognition on plant leaves are explained in the paper. Healthy crop leaves and background images of corps are present in different classes, enabling the model to differentiate between not healthy leaves and healthy leaves from the environment by using the Convolution neural network.
REAL-TIME EXPLICIT IMAGE FILTERING USING CONVOLUTIONAL NEURAL NETWORKS
Authors:   Mahatma Gandhi Mission College of Engineering and Technology, Gupta Akashkumar , Gajargaonkar Anubha ,   Mahatma Gandhi Mission College of Engineering and Technology,, Rajput Krutika ,   Mahatma Gandhi Mission College of Engineering and Technology,, Bharde Prof.Vidya ,   Mahatma Gandhi Mission College of Engineering and Technology,
Published: June 2022

Image classification is a critical and significant research problem in computer vision applications such as facial expression classification, satellite image classification, and plant classification based on images. This project proposes the image classification model applied for identifying the display of daunting pictures on the internet. The proposed model uses Convolutional Neural Network (CNN) to identify these images and filter them through different blocks of the network so that they can be classified accurately. The model works on Tensor Flow a userfriendly platform, which provides different high leveled APIs (in Keras) which are used to build any basic model. It also permits us to add our libraries. The input data for the model are images we collected online through various resources. Our model will work as an extension to the web browser and will work on all websites when activated. The output of the proposed model is blurring the images and deactivating the links. This means that it will scan the entire web page and find all the daunting images present on that page. Then we will blur those images before they are loaded and the children could see them. Apart from it, we will also disable any clickable links present. This ensures protection from disturbing images and links to the children.
STUDY OF PERSONALITY TRAITSOF THE ADOLESCENCE OF SINGLE PARENT AND INTACT FAMILY.
Authors:   Swastika Nursing College, Jha Dr. Dheeraj , Kumar Patel Dr. Manoj ,   Swastika Nursing College
Published: June 2022

The present study investigated the difference in Personality traits of adolescent from single parent and intact family.50-50 adolescent from single parent and intact family were selected purposively. Differential personality inventory (DPI) by Dr. Mahesh Bhargava was administered on sample, which measures six personality factors in two dimension, positive and negative trait. All six personality factors were measured in this study. Mean (M), standard deviation (SD), Critical ratio (CR) test were applied for statistical analysis of data. Result shows that there is a significant difference in activity v/s passivity, Assertive v/s Submissive, Trusting v/s Suspicious, Non-depressive v/s Depressive, Emotional stability v/s Emotional instability personality traits of adolescent from single parent and intact family because calculated Critical -Values are respectively 2.37, 2.14, 2.52, 3.37 & 4.42 which are significant at degree of freedom 98 and level of significant 0.05 and there is no significant difference in Enthusiastic v/s Non-Enthusiastic personality trait of adolescent from single parent and intact family because calculated t-value is not significant at degree of freedom 98 and level of significant 0.05 .Results indicates that there is a significant effect on personality ,it meant that family plays an important role on development of personality of a child.
SMART COVID-19 SAFETY MONITORING
Authors:   JSPM’s Jaywantrao Sawant Polytechnic, Aditya Anil Pawar , Anurag Nandu Babar ,   JSPM’s Jaywantrao Sawant Polytechnic, Om Devendra Lembhe ,   JSPM’s Jaywantrao Sawant Polytechnic
Published: June 2022

One of the most important practices in the financial world is stock trading. The act of attempting to forecast the future value of a stoc in this paper, we introduce an affordable IoT-based solution going to increase COVID-19 indoor safety, covering several relevant aspects: 1) contactless temperature sensing 2) mask detection 3) social distancing check. Contactless temperature sensing subsystem relies on Arduino Uno using infrared sensor or thermal camera, while mask detection and social distancing check are performed by leveraging computer vision techniques on cameraequipped Raspberry Pi.
SURVEY ON AUTOMATIC SOIL MOISTURIZING SYSTEM
Authors:   PJLCE, Mohod Ashish , Yerma Sushil ,   PJLCE, Ninawe Siddharth ,   PJLCE, Jain Saurabh ,   PJLCE, Gangalwar Shubham ,   PJLCE, Kudrapwar Shruti ,   PJLCE
Published: June 2022

Now a day’s water is becoming very precious due to scarcity in obtaining clean water for domestic purposes including irrigation. To optimize the use of water, a mechanism to develop water conversation is the need of the hour. Also, automation in agricultural systems is a necessity to optimize water usage, reduce water wastage, and implement modern technology in agriculture systems. The soil moisture sensor is a novel device that senses the moisture content in the soil, and with a suitable mechanism allows water to be irrigated depending on the moisture content of the soil.
ENERGY EFFICIENT LIGHTING
Authors:   Department of EE, Ganguly Avishek
Published: June 2022

— It has been estimated that lighting accounts for about 20% of the total power generation of the world (nearly 18% in India). The quality and quantity (output amount coming from a source) affect our health, comfort (soothing of eye), safety (for eye, skin also), environment (amount of greenhouse gases) and also economy (price). Many nations have been spending a huge amount of their electricity budget on lighting system. For achieving efficient use of electricity, nations have been taking a switch to the energy efficient lighting which is the most cost effective, safe for human and environment and reliable method of energy-saving. A well-known technology has been in use in the area of lighting to optimize the existing controls and lighting equipment for reducing the energy consumption with higher lighting quality. Let us discuss in detail about this concept.
A SURVEY ON SEMANTIC ANNOTATION TOOLS FOR KNOWLEDGE MANAGEMENT
Authors:   Maharaja Surajmal Institute of Technology, Kherwa Pooja
Published: June 2022

Support for information and knowledge exchange is a key issue in the information society. To reduce the time wasted in searching and to reduce associated user frustration much more selective user access is needed. This is possible by semantic information processing of online documents.Knowledge management in an organisation are used for managing knowledge resources in order to facilitate access and reuse of knowledge.Semantic annotation is about assigning to the entities in the text, links to their semantic descriptions. This sort of metadata provides both class and instance information about the entities. Semantic annotation is applicable for any type of textweb pages, regular documents etc. For semantic annotation, there are various manual, semiautomatic and full automatic tools are developed by various organizations like mindswap.org, ontotext.org etc. In this paper, we are presenting analysis and review of some of these tools according to their applicability for an application domain in knowledge management.Our review and analysis may help the research community in selecting an appropriate tool for extracting the relevent and desired information from huge knowledge base of an organisation.
SPECTROSCOPIC STUDY OF BARIUM STARS
Authors:   Indian Institute of Astrophysics, D Ashok , R Monish ,   Indian Institute of Astrophysics, Reddy Munagala ,   Indian Institute of Astrophysics, Reddy Charan ,   Indian Institute of Astrophysics
Published: June 2022

We present the abundance results from the high-resolution spectral analysis of fifteen barium stars. The spectral resolution is R ~ 86000 with a wave length coverage of 3900 – 9000˚A. Stellar atmospheric parameters the effective temperature, surface gravity, metallic ties are determined from the local thermodynamic equilibrium analys is using model atmospheres. The effective temperature of the programme stars ranges from 3535 – 7656 K. The surface gravity covers a range from 1.17 – 4.07 cgs and metallicity ranges from -1.41 to - 0.13.We have also obtained temperature from photometric calculations and log g from parallax method. These values are found to match closely with the spectroscopic values within errors. The elemental abundances are determined from the spectrum synthesis calculation of clean and unblended lines due to neutral and ionized elements using iSpec. The abundances of elements such as O, Na, Mg, Ca, Sc, Ti, Mn, Ni, Cu, Zn, Sr, Y, Zr, Ba, La, Ce, Nd, Pr, Sm and Eu are determined. The star HD 22589 shows enhancement in Ba with [Ba/Fe] > 1.33. HD 40430 is found to be Ba normal with [Ba/Fe]0.10.The mass and the age of the programme stars are also determined from their locations in the H-R diagram. The estimated mass of the programmestars ranges from 1.20-4.50M☉ and age from 0.53to3.36Gyr
ANALYTICAL MODELLING AND SIMULATION OF TRIPLE MATERIALS DOUBLE GATE GERMANIUM SOURCE FERROELECTRIC TUNNEL FET FORLOW POWER APPLICATIONS
Authors:   Reva University, M Joel , L K Hemanth ,   Reva University, Ratandeep G ,   Reva University, Lokesh K ,   Reva University
Published: June 2022

At the nanoscale, many multigate devices are being studied in order to reduce their size and improve their performance. This paper describes the design and development of a novel device known as the Triple Material Surrounding Gate Tunnel Field Effect Transistor (TMSGTFET). The advantages of encircling gate and tunnel FET are combined to build a novel structure. The gate material around the device is replaced with three gate materials with various work functions to prevent short channel effects. The device's surface potential, lateral electric field, vertical electric field, and drain current are all modelled in two dimensions, with the results explained. By altering the thickness of the ferroelectric layer and ferroelectric material, as well as verifying the simulation findings with MATLAB, we study the impacts of device parameters on the channel potential and on-state current. The findings show that raising the ferroelectric layer thickness enhances the device's characteristics by reducing the shortest tunnelling length. Furthermore, the proposed analytical model shows increased ON current. CAD simulation is used to test the model's improved device properties, confirming that it is accurate
CURRENT TRENDS IN FORENSIC PALYNOLOGY: A REVIEW STUDY
Authors:   Yenepoya Institute of Arts, Science, Commerce & Management,, . Vaishnavi , S Yadav Mohith ,   Yenepoya Institute of Arts, Science, Commerce & Management
Published: June 2022

Forensic Palynology is the study of natural organic matter to establish a chronological or environmental history. It is often used in palynology (palynology being the study of pollen and spores) to reconstruct past climate and vegetation changes. If the stratigraphic setting is known, the deposition date can be determined by organic matter in the sediment. The primary factors which dictate the abundance of organic matter are changes in climate and vegetation. Modern forensic palynology has made considerable advances in examining environmental samples, with many studies now showing that the "structure of pollen grains, in particular, provides an indicator of a sample's environmental and occupational history." It, therefore, provides "a way of finding out what happened before and during an environmental exposure." The field of forensic palynology is concerned with the study and application of plant and soil organic and biotic evidence objectively and scientifically in order to provide evidence of environmental and occupational processes and conditions".
A END-TO-END TEXT ATTENTIONAL EVENT DETECTION BASED ON NOVEL VECTOR SPACE MODEL
Authors:   SRM Institute of Science and Technology Chennai, Vadivelu A , Saxena Rohan ,   SRM Institute of Science and Technology Chennai, Pahal Shubham ,   SRM Institute of Science and Technology Chennai, Dixit Vishal ,   SRM Institute of Science and Technology Chennai
Published: June 2022

In this paper we suggest a occasions detection, in their importance income. preceding, the differentiation among occasions in particular primarily totally spatial, subject matter statistics. We recommend a singular method that plays occasions primarily based totally on (deliberating boom and rest signatures). Our take a look at gives empirical proof that via occasions differentiation primarily based totally on their form you may truly pick out clusters of Twitter occasions that comprise extra statistics approximately destiny income additionally suggest a method for computerized identity of the most appropriate occasion window, fixing a challenge, that common trouble within side occasion take a look at field.
FABRICATION AND PERFORMANCE EVALUATION OF HAND OPERATED ALOEVERA GEL EXTRACTOR
Authors:   Dept.Food Processing Engineering, SHUATS, Prakash Gyan , Chandra yadav Prof. (Dr.) Kailash ,   Dept.Food Processing Engineering, SHUATS
Published: June 2022

Aloe vera is one of the oldest known medicinal plants but it is now realized that many of its active constituent may be addressed in different ways by different formulations. A hand operated aloe vera gel extractor was made. The adjusting screw was changed with its position and upper portion is covered. All components were assembled to make a hand operated aloe vera gel extractor suitable for extracting gel from aloe Vera leaf on small scale. Leaf splitter method, roller squeezing method and whole leaf processing method are being used now days to extract aloe vera gel on large scale production. But this hand operated aloe vera gel extractor would aid the small scale producers in easy production of the gel giving the consumers much pure and chemical free gel that than that extracted from different methods as mentioned above. Performance of this hand operated aloe vera gel extractor was evaluated by extracting gel from 2kg aloe vera leaf which yields 1.4kg of the gel. Hand operated aloe Vera gel extractor was also economically suitable for small scale farmers, who can grow aloe vera plant and extract aloe vera gel in small scale. It requires small capital for small and marginal farmers. This extractor also gives pure and chemical free aloe vera gel. Moreover, the extractor could also be used for commercial and household purposes if sold as aloe vera gel extracting machine in the market. The modified gel extractor was for evaluated for its performance
SUSTAINABILITY OF AUTOCLAVED AREATED CONCRETE BLOCKS OVER BURNT CLAY BRICK
Authors:   Visvesvaraya Technological University, Ghimire Sandesh
Published: June 2022

There are various choices of materials and products which are used in the construction Industry. Materials choices depends on various factors which includes first cost, life cycle cost and performance. Burnt Clay Bricks are widely used traditional materials for most of the building works in Nepal. Autoclaved Aerated Concrete block is also one of the trending materials with is less known in the context of Nepal. Due to the growing interest in sustainable development, People are motivated more than ever before to choose materials that are more sustainable. Global warming and environmental pollution is a global concern. Autoclaved Aerated Concrete block can be used as an alternative to the burnt clay bricks, to reduce environmental pollution and global warming. This paper is an afford towards comparative analysis of the Sustainability of Autoclaved Aerated Concrete block over the traditional burnt clay bricks which will help people to understand the material of choices during construction.
ENERGY SAVING TECHNIQUES IN AN APARTMENT
Authors:   Department of EE Kolkata,, Ganguly Avishek
Published: June 2022

With the increasing cost of the necessary commodities in our daily life (rent, groceries, utilities, medicines, food etc.) you can be surprised that what you can do to cut back you’re spending while living in your apartment. In this article we will know on how we can make our apartment energy efficient. You may be wondered that why the term “energy efficient” is used here. The meaning of the term is if you use less energy less amount of bill (electric bill) you will have to spend. Here we will discuss some essential energy saving method for living an apartment.
DETECTION OF SKIN CANCER DISEASE USING DEEP LEARNING ALGORITHM
Authors:   Department of Computer GSMCOE, Pune, Chouksey Prateeksha , Pravin Raghamwar Samiksha ,   Department of Computer GSMCOE, Pune, Ashok Chavan Pratiksha ,   Department of Computer GSMCOE, Pune
Published: June 2022

Early detection of melanoma skin cancer is important for a person effective treatment. Recently, it is well-known that the most dangerous type of skin cancer is other types of skin cancer.Melanoma because it may spread to other are asif you are not diagnosed and treated early. Non-invasive computer vision or medical imaging play an important role in the clinical identification of various diseases. Such techniques that provide an automatic image analysis tool for accurate measurement and quick wound testing. Steps involved in this. The study collects dermos copy image data, preliminary processing, division using threshold, mathematical element domain using Gray Level Cooccurrence Matrix (GLCM), Asymmetry, Border, Color, Scope, (ABCD) etc., feature selection using Principal section (PCA) ), to calculate the value Dermos copy Score then differentiate using Convocation neural network (CNN).the results show that the accuracy of the categories obtained is 92.1
IOT BASED FIRE DETECTION AND AUTOMATIC WATER SPRINKLER SYSTEM
Authors:   Godavari Institute of Engineering andTechnology, Teja D , Kiran M. Suraj ,   Godavari Institute of Engineering andTechnology, Sudheer A.V. ,   Godavari Institute of Engineering andTechnology, Kumar Reddy I. Anil ,   Godavari Institute of Engineering andTechnology, Jyothi K ,   Godavari Institute of Engineering andTechnology
Published: June 2022

Fire presents significant threat to life due to its severe hazards and ability to spread rapidly. fire poses a huge threat to human life. Fire detection systems, particularly vision-based systems, identify flames before any loss or destruction occurs. In this model, a novel vision-based technology is created that uses a camera to detect flames (the visible part of a fire) over long distances. An immediate alert is generated on android application. The goal of the proposed system is to notify the remote user when a fire accident occurs. This system can be installed in any remote area where there is a risk of fire. Using this system, we can detect a fire by using a fire sensor beside the camera. After detection of fire the camera is used to take the fire photo and it goes to micro controller. By using camera method, the report is automatically generated and delivered to the person immediately following the fire is detected in any part of the frame using Wi-Fi/GSM. To prevent major damage, the detector will detect flames caused by a fire accident and activate the water sprinkler. The appliance system includes components such as a buzzer for alarming, displaying temperature, humidity and to put out the fire, we use a motor pump.
IMAGE FUSION WITH CT AND MRI IMAGES FOR IMPROVING QUALITY OF DIAGNOSTICS
Authors:   Godavari Institute of Engineering and Technology, Rajasekhar K , Krishna S.Vinay ,   Godavari Institute of Engineering and Technology, Srinivasu V , Kumar B.Neeraj ,   Godavari Institute of Engineering and Technology, Jyothi K ,   Godavari Institute of Engineering and Technology
Published: June 2022

-Fusing several medical images will enhance sickness diagnosis and demonstrate the complicated relationship between them for medical research. Existing techniques are time consuming and require a higher amount of data to train the models.We will obtain complex information from medical pictures such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) in this model by fusing them using multi-stage fusion networks. We will utilise the Dual Tree Complex Wavelet Transform (DTCWT) to extract the challenging and related information from each image, and then divide the segmentation to get the segmented picture. The suggested technique uses the Dual Tree Complex Wavelet Transform to integrate several sample medical images, with the source medical image being converted to grayscale and degraded before the wavelet coefficients are produced using the DTCWT.The fused coefficients are then produced using wavelet approximation. The Inverse Dual Tree Complex Wavelet Transform is employed to develop the final fused picture. Segmentation is often used to create a segmented picture for better visual representation. The suggested technology has the potential to provide a higher quality final fused image.
Evaluation of E-Government Maturity through the Pillar Approach on the Official Website of the Situbondo Regency Government
Authors: Nangameka Teresa Irmina
Published: June 2022

abstract
TREND ON PUBLIC ADMINISTRATION RESEARCH: BIBLIOMETRIC ANALYSIS
Authors: Nurdin Ismail Nurdin
Published: June 2022

The purpose of this research is to present publications on Public Administration research from the Scopus database using bibliometric analysis.

Design/methodology/approach: This research used Publish or Perish by Harzing for citations in the form of metrics, Microsoft Excel for frequency analysis and VOS viewer for visualization of data with period time 2010-2021.

Findings: Based on the results of research, the publications on Public Administration research have been consistently increasing since 2015 with 656 citations. The most popular keywords identified in the document set are: development, drug administration, food and practice, China, impact, public administration review and state, application, public administration research and research, big data, future and Public Administration, case, evolution and efficiency.
Otomatisasi Mesin Gergaji Kayu Berbasis PLC
Authors: Duanaputri Rohmanita , Tresna Umar Syamsuri  , Harrij Mukti K.  , Mohammad Noor H.
Published: June 2022

The timber industry in the process of cutting is done several types of sawing machine that has been designed in accordance with the needs of use facilitatein the process of cutting. Besides the saw machine simplifythe work given the limited ability of the power human beings either in the form of materials to be cut and safety work of employees. If the company is just a racket manpower is very limited, so to increase that efficiency desirable will be difficult to achieve, therefore required appropriate technology to help improve the eficiency. Technology that can help is to use shawmill machine automatically. In the process of sawing there are several types of sawmill such as: disc saw, bandsaw, in this case the writer uses bandsaw, adjusted with observation data with the power of 22 Kw saws and at the train with power of 1.5Kw. In the manufacture of this control the autor uses the HMI program in the process of controlling the engine from a distance, and operates it. Inside the HMI can be seen on a running machine and a machine that is a trouble.
Analisis Pemecahan Beban Penyulang Kalipare 20 kV
Authors: Dali Sri Wahyuni , Imron Ridzki  , Muhammad Fahmi Hakim
Published: June 2022

Penyulang Kalipare merupakan penyulang yang terletak di ULP Sumberpucung dengan panjang penyulang 232,9 kms, arus beban 161,8 A, jatuh tegangan 17,981 kV, rugi-rugi energi yang tidak tersalurkan dalam waktu 40,82 menit adalah Rp 5.333.734.00. Dengan kondisi tersebut maka perlu dilakukan pemecahan beban menjadi dua yaitu menjadi 86,6 A dan 74,4 A, dengan tegangan ujung 19,27 kV. Pada kondisi ini, rugi-rugi energi yang tidak tersalurkan dalam waktu 40,82 menit adalah Rp. 2.454.510.8. Pemecahan beban dilakukan berdasarkan kondisi eksisting penyulang Kalipare tahun 2019. Pada pemodelan berupa simulasi menggunakan ETAP 12.6, terdapat 7 titik pemisahan beban dengan mempertimbangkan nilai investasi yang akan digunakan untuk melakukan pekerjaan tersebut. Lokasi yang akan dilakukan pemisahan beban adalah GI Karangkates, Perempatan Peteng, Tumpakmiri, Kalipare, dan Banduarjo dengan biaya investasi Rp. 21.124.247.696 dengan pembangunan 527 pintu gerbang. Setelah terjadi pemutusan beban pada penyulang Kalipare dan penyulang Donomulyo nilai jatuh tegangan pada penyulang Kalipare turun menjadi 18,25 kV; 8,70%, sedangkan Penyulang Donomulyo 19.241 kV; 3,84%. Solusi pemisahan beban penyulang Kalipare akan meminimalkan kerugian akibat pemadaman dan meningkatkan kepuasan pelanggan
Analisis Aliran Daya Reconductoring Saluran Transmisi Paiton Kraksaan-Probolinggo 150 kV Terhadap Saluran Yang Terimbas
Authors: Duanaputri Rohmanita , Ahmad Hermawan  , Zulvina Arifah
Published: June 2022

Provision of quality and sufficient electrical energy is something that must be done by PT. PLN (Persero). Based on data from PT. PLN (Persero), carried out work on replacing conductors on the Paiton – Kraksaan – Probolinggo transmission line from the TACSR 330 mm2 conductor with KHA 1190 A to 2xACCC/TW Copenhagen with KHA 2016 A. Reconductoring work is one of the efforts to uprating the transmission line by considering increasing load requirements. This reconductoring is carried out using the open circuit method or a total blackout in a circuit where the conductor is being replaced by taking into account the stages determined by PT. PLN (Persero). So that the power flow in the system must be considered when these conditions take place for the sake of service reliability or system reliability using a power flow simulator application, namely ETAP software. The simulation voltage tolerance with actual conditions is 5%. Next, analyze the power flow on the affected transmission line which is directly connected to the Kraksaan – Paiton – Probolinggo 150 kV transmission line based on voltage drop, transmission line losses and loading from each stage. As well as calculating the power transfer capability after and before reconductoring. The results of the simulation show that the most significant anomaly (deviation that should not be) is that there is a critical point loading of up to 89.220% on the Probolinggo - Gondangwetan channel when reconductoring has been carried out except for the Paiton - Kraksaan1 transmission line. Meanwhile, the value of power transfer capability increased after reconductoring, where the Paiton-Kraksaan1 and Paiton-Kraksaan2 channels increased by 63.91 MW, the Kraksaan - Probolinggo1 channel increased by 67.95 MW, and the Kraksaan - Probolinggo2 channel increased by 63.461 MW from previously.
Desain Closed-Loop Boost Converter Berbasis Voltage Lift Cell Untuk Implementasi Penguat Tegangan
Authors: Masramdhani Saputra  , Nurhadi Slamet , Santoso Asfari Hariz , Ridzki Imron , Dali Sri Wahyuni
Published: June 2022

In this new era the use of Photovoltaic (PV) is increasingly being used as an energy source. However, this technology has a drawback, namely, the intensity of the sun's light is always changing every time. This can cause the output voltage of the Photovoltaic (PV) Cell to be variable or indeterminate. In the Photovoltaic (PV) Cell, a dc-dc converter circuit is needed which functions to regulate and change the output of the Photovoltaic (PV) Cell. Conventional DC-DC boost converters are unable to provide a high step-up voltage boost due to the effects of switching power, rectifier diodes, and equivalent series resistance of inductors and capacitors. In this study, a closed loop design using a PID controller and analysis of a non-isolated boost dc-dc converter based voltage lift technique were carried out to achieve a high step-up voltage gain. In the presented converter two inductors, three capacitors and three power diodes are used. From this structure, this converter is referred to as a voltage lift cell-based boost converter. The structure of the presented converter is considered very simple, since it has only two stages of power. The voltage and current equations of each element with the converter voltage gain under continuous conduction mode (CCM) were extracted. In addition, the steady state analysis of the amplified stress and boundary conditions is discussed in this study. This boost converter circuit is simulated through the PSIM application. From the simulation results in the PSIM application, it is found that the boost converter circuit is able to increase the voltage from 100 V to 400 V and has an error value of 0. The specifications of the simulation results are a duty cycle of 0.6, and a frequency of 10,000 Hz
Perencanaan Dan Analisis Pembangkit Listrik Hybrid PLTS 4x50 Wp Dan PLTB Tipe Darrieus Kapasitas 100 Watt
Authors: Ananto Rhezal Agung , Wardana Mohamad Arya Iga , Hidayat Mohammad Noor
Published: June 2022

Dewasa ini sumber daya energi menjadi isu utama yang berkembang saat ini, hal ini disebabkan kebutuhan energi, diimbangi dengan pertumbuhan penduduk dan pertumbuhan ekonomi di Indonesia yang semakin meningkat, energi angin dan energi matahari merupakan sumber energi terbarukan yang berasal dari proses alam. bahwa kemungkinan energinya tidak akan pernah habis. Kedua energi tersebut dapat dimanfaatkan untuk menghasilkan energi listrik melalui proses pembangkitan tenaga listrik yaitu Pembangkit Listrik Tenaga Hibrid (PLTH). Sistem pembangkit listrik hybrid merupakan gabungan dari 2 atau lebih pembangkit listrik energi alternatif, yaitu energi angin dan panas matahari. Sebelumnya terpasang PLTS 2x50 wp dan PLTB tipe Darieus dengan kapasitas 100 watt karena kurangnya suplai untuk baterai 45 ah, akan ditambahkan PLTS 2x50 wp agar pengisian baterai lebih cepat dan optimal serta dapat dijadikan referensi untuk bandingkan PLTS 2x100 Wp dan PLTS 4x50 wp. Parameter yang digunakan dalam penelitian ini adalah keadaan sumber energi dan beban listrik di lapangan futsal Politeknik Negeri Malang. pada PLTS memiliki radiasi matahari rata-rata sekitar 882,14W/m2 dapat menghasilkan daya sebesar 1.252,63 W dengan menggunakan PV Monocrystaline sebesar 1,42 m2.