bluuebunny/crossref_metadata_2025 huggingface dataset:
Green Synthesis of Nanoparticles using Fungal Extracts
Authors: Selwal Krishan K. , Deswal Garima , Nirvan Harsha , Selwal Manjit K.
Published: July 2022

Nanotechnology involves the synthesis of nanoparticles (NPs) and paved the
way for the possibility of applications in different fields such as pharmaceutical
science, industry, environment and biosensor technology. The metal nanoparticles
synthesis using fungal extract is gaining momentum due to their novel chemical,
optical, electrical, and magnetic properties. The mycelial biomass is found to be more
resistant against pH, temperature, agitation and pressure compared to bacterial and
plant extract and thus more appropriate for industrial production. The nano-sized
particles synthesized by green chemistry are of better quality than the ones made by
chemical reduction methods such as laser ablation, metallic wire explosion,
photochemical or radiation reduction and sonochemical method. The chemical methods
can pose a risk to environmental and animal health due to release of the hazardous
toxic component. Therefore, nanoparticles synthesis using fungal extract could be an
ecofriendly alternative to chemical-based methods as green synthesis has the lesser
possibility of such component release. The fungal extract comprises a plethora of
secreted extracellular proteins, enzymes, vitamins and ions which are responsible for
the reduction and stability of nano-size metallic particles. The biogenic nanoparticles
thus produced have attained much interest due to their composition, shape and size,
photochemical, optical and chemical properties. The nanomaterials have applications in
various fields such as biosensor technology, DNA based techniques, metabolomics,
antimicrobial agents, cancer cell treatment, protein engineering, purification of water
and degradation of pesticides, synthetic biology, downstream processing and delivery
of therapeutic compounds.
Plant Fungal Disease Management by Nanotechnology
Authors: Bisht Sunaina , Puyam Anita , Kashyap Prem Lal
Published: July 2022

With the enormous increase in global population, there is an increasing
number of individuals to feed. Crop loss has become the biggest issue worldwide.
Insects (14%), weeds (13%) and various plant diseases (13%) play a very important
role in crop losses. The loss caused by plant diseases single-handedly causes an
estimated loss of 2 trillion dollars per year. Due to the increasing demand of food, the
use of synthetic chemicals has become today’s fastest, easiest and cheapest way to
control loss causing agents. But due to the immense use of these chemicals, it induces
adverse effect on the environment, human beings, animals and also depleting natural
resources. In the current scenario, there is a need to introduce control measures which
are effective and increase crop production but on the other hand, they must be less
harmful for the ecosystem. After the introduction of irrational use of fungicides, there
is always a posed threat to the living system, killing not only the target fungi but also
affecting beneficial living systems. Besides, there is an increase in resistance against
fungicides in the fungal pathogen. It is becoming necessary to reassess our strategies
and achieve disease management by alternate approaches such as nanotechnology.
Nanofungicides based on metals like silver (Ag), copper (Cu), etc. and nano-emulsion
has been becoming an important technology to tackle fungal pathogen problems in
agriculture, having immense potential to cope with the fungal pathogen in the future.
However, very little work has been done to bring this technology to field level.
Nanotechnology has substantially advanced in medicine and pharmacology, but has
received comparatively less interest for agricultural applications. They aim at acting
directly into the plant’s part where the pest or disease attacks, which means that only
the required amount of chemical is delivered to the plant tissue as medication.
Nanoparticles may act upon pathogens in a way similar to chemical pesticides or the
nanomaterials can be used as a carrier of active ingredients of pesticides, host defense
inducing chemicals, etc., to the target pathogens. It is a more appropriate and suitable
solution for crop protection and is also safer for the environment. It will improve
agricultural output in the coming years by solving the above-mentioned problems in
crop production therefore, extensive research work is needed. Nanotechnology  may bring an evolution in industry as well as in the field of
dealing with fungal pathogens.
Cosmetic and Medical Applications of Fungal Nanotechnology
Authors: Singh Babita , Singhal Sonali , Ahmed Tanzeel
Published: July 2022

Nanotechnology is the science of manipulating atoms and molecules in the
nanoscale - 80,000 times smaller than the width of a human hair. Nanotechnology is a
revolutionary technology that is being used in many fields all over the world as it finds
applications in automobiles, electronics, material science, etc. Fungal nanotechnology
has great prospects for developing new products with industrial, agricultural,
medicinal, and consumer applications in a wide range of areas. Nanotechnology has
applications in the field of cosmetics, which are known as nanocosmetics. Various
types of nanomaterials are employed in cosmetic and medical applications i.e.
inorganic nanoparticles, Silica (SiO2
), Carbon Black, Nano-Organic materials, Nano Hydroxyapatite, Gold, and Silver Nanoparticles, Nanoliposomes, etc. NPs have been
explored and identified as carriers for drug delivery. New drug delivery systems based
on nanotechnology have been applied in the treatment of human diseases, such as
cancer, diabetes, microbial infections, and gene therapy. The benefits of these
treatments are that the drug is targeted to diseased cells, and its safety profile is
enhanced by the reduced toxic side effects to normal cells. In general, NPs can be
conjugated with different types of drugs to deliver bioactive compounds to the target
site by various methods, such as the use of nanotubes, liposomes, quantum dots,
nanopores, and dendrimers. It is employed in fuel cell applications that involve
polymers in the proton exchange membrane, binder for the electrodes, and matrix for
bipolar plates.
Potential Role of Nanotechnology in the Wood Industry to Develop Resistance against Fungi
Authors: Bahri Saloni , Sinha Roy Somdutta
Published: July 2022

Wood properties can be changed using nanomaterials that can penetrate
deeply into the wood substrate. This capacity of nano-based materials can be utilized in
changing wood properties in a way that is very effective in their long-term use.
Nanotechnology can certainly change the future of the wood industry by increasing the
functional life of wood products as well as usability under various conditions. But its
full potential to make wood resistant against fungi has still not been explored. Research
is underway but there is still a long way to go. Studies carried out on the use of
nanoparticles have clearly shown the negative impact of nanoparticles on human health
as well as on the environment. This issue needs to be addressed.
implementation of referral system in postpartum hemorrhage cases by midwife
Authors: Gustiani Ria , Hakimi Moh. , Suryaningsih Endang Koni
Published: July 2022

Postpartum hemorrhage (PPP) is the most significant contributor to maternal mortality worldwide, accounting for 50-75% of all emergency cases that occur during childbirth. Research on the causes, knowledge, prevention, and factors that influence the incidence of postpartum hemorrhage has been carried out previously. However, research on the referral system in postpartum hemorrhage cases done by midwives has not primarily been explored. PRISMA results showed that there were 95 articles obtained from three databases. Article selection was carried out based on predetermined criteria for inclusion and exclusion. This research has acquired five related articles. The seven articles obtained were analyzed for their critical appraisal using the Joanna Briggs Institute (JBI). This study aims to identify the in-depth literature obtained through various sources with various research methods related to the topic, which is the implementation of the referral system in primary postpartum hemorrhage done by midwives of health centers. Therefore, identifying gaps from the existing articles or synthesizing evidence through different studies can be done. Then sources of evidence that provide reference information and research on postpartum bleeding can be found.
Strategy for quality culture development of construction implementing service companies in running a quality management system based on professional culture and national culture to reduce construction failure rates
Authors: Amelia Tessa Meichi , Latief Yusuf
Published: July 2022

The purpose of this study is to provide an overview of quality culture related to professional culture and national culture that influence each other in contracting companies, especially in Indonesia. The factors that will determine the development process are identified using Structural Equation Modeling. From the results of the analysis, it is found that professional culture, national culture and quality management systems can increase efforts to develop a quality culture in BUMN companies. The variable of professional culture with time and team indicators, variables of national culture with indicators of individualism/collectivism and power distance, and the variable quality management system with indicators of organizational and operational context has a significant effect on the Quality Culture Development. To be able to increase efforts to develop a quality culture in state-owned construction service companies, it is necessary to improve the professional culture, national culture, and quality management system effectively. This research can be used as material or input to improve efforts to develop a quality culture in BUMN construction companies in Indonesia in the future.
Analysis of labor productivity level and time performance satisfaction in the SMAN 10 Denpasar development project
Authors: Sutapa I Nyoman , Santiana I Made Anom , Wibawa I Gede Sastra , Sudiasa I Wayan , Sutapa I Ketut
Published: July 2022

The project is a series of work that aims to achieve project objectives according to the requirements that have been set at the beginning of the project such as quality, time and cost requirements. In the current era of globalization, every worker in all sectors including the construction sector is required to have high work productivity. Productivity is very important for every worker in completing a job, the lack of awareness of the workforce on the importance of productivity is one of the causes of the low work produced. This study aims to determine the level of productivity and satisfaction with time performance. The data used in this study were analyzed by measuring productivity and satisfaction of watuk performance measured by the SPI value.
Plasticidad fenotípica de progenies de árboles de Pinus pseudostrobus Lindl. superiores en producción de resina en vivero
Authors: Chávez-García Alicia Sagrario , Hernández-Ramos Jonathan , Muñoz-Flores Hipólito Jesús , García-Magaña J. Jesús , Gómez-Cárdenas Martín , Gutiérrez-Contreras Maribel
Published: July 2022

La plasticidad es la variabilidad fenotípica de una especie sin alteración genética y este estudio tuvo como objetivos: i) evaluar en planta de vivero variables morfométricas de familias selectas de árboles de Pinus pseudostrobus superiores en producción de resina; ii) determinar el índice de plasticidad fenotípica y coeficiente de variación de variables morfológicas; y iii) correlacionar las variables morfométricas, biomasa e índices de calidad con su plasticidad promedio. Para este fin, en áreas productoras de resina en la Comunidad Indígena de Nuevo San Juan Parangaricutiro, Michoacán, el intervalo altitudinal de 2500 m a 2800 m s.n.m. se dividió en tres gradientes donde se seleccionaron 27 árboles superiores y se recolectó semilla para propagar 405 plantas en vivero. Bajo un diseño experimental de bloques incompletos de tipo a-Lattice, se analizaron las variables diámetro basal, altura total, biomasa área y biomasa radicular; además, se calcularon y correlacionaron los índices de calidad de Dickson, esbeltez, lignificación, plasticidad y relación de biomasa. Se detectaron diferencias entre las variables morfométricas entre las familias de medios hermanos. El gradiente medio mostró la mejor calidad de planta y plasticidad, mientras que en los gradientes extremos las plantas tienen menores características de adaptación. La correlación indica una asociación positiva entre la plasticidad y el diámetro basal que es un indicador indirecto de lignificación. La caracterización de cada familia es una herramienta indirecta para la selección de germoplasma que muestra las diferencias en adaptación y constitución genética de los progenitores.
Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis
Authors: Soroski Thomas , da Cunha Vasco Thiago , Newton-Mason Sally , Granby Saffrin , Lewis Caitlin , Harisinghani Anuj , Rizzo Matteo , Conati Cristina , Murray Gabriel , Carenini Giuseppe , Field Thalia S , Jang Hyeju
Published: July 2022

Background

Speech data for medical research can be collected noninvasively and in large volumes. Speech analysis has shown promise in diagnosing neurodegenerative disease. To effectively leverage speech data, transcription is important, as there is valuable information contained in lexical content. Manual transcription, while highly accurate, limits the potential scalability and cost savings associated with language-based screening.

Objective

To better understand the use of automatic transcription for classification of neurodegenerative disease, namely, Alzheimer disease (AD), mild cognitive impairment (MCI), or subjective memory complaints (SMC) versus healthy controls, we compared automatically generated transcripts against transcripts that went through manual correction.

Methods

We recruited individuals from a memory clinic (“patients”) with a diagnosis of mild-to-moderate AD, (n=44, 30%), MCI (n=20, 13%), SMC (n=8, 5%), as well as healthy controls (n=77, 52%) living in the community. Participants were asked to describe a standardized picture, read a paragraph, and recall a pleasant life experience. We compared transcripts generated using Google speech-to-text software to manually verified transcripts by examining transcription confidence scores, transcription error rates, and machine learning classification accuracy. For the classification tasks, logistic regression, Gaussian naive Bayes, and random forests were used.

Results

The transcription software showed higher confidence scores (P<.001) and lower error rates (P>.05) for speech from healthy controls compared with patients. Classification models using human-verified transcripts significantly (P<.001) outperformed automatically generated transcript models for both spontaneous speech tasks. This comparison showed no difference in the reading task. Manually adding pauses to transcripts had no impact on classification performance. However, manually correcting both spontaneous speech tasks led to significantly higher performances in the machine learning models.

Conclusions

We found that automatically transcribed speech data could be used to distinguish patients with a diagnosis of AD, MCI, or SMC from controls. We recommend a human verification step to improve the performance of automatic transcripts, especially for spontaneous tasks. Moreover, human verification can focus on correcting errors and adding punctuation to transcripts. However, manual addition of pauses is not needed, which can simplify the human verification step to more efficiently process large volumes of speech data.
Termite Mounds’ Diversity and Distribution: A Study at Jnanabharathi, Bangalore University
Authors: Kavyashree R K , Murugan S , Namratha A
Published: July 2022

Termites work together to modify their surroundings, which in turn influences their behaviour, leading to the building of termite mounds. The study was designed to assess diversity of termite mounds present in the Bangalore University Campus, Bengaluru, India. Observations were made on the occurrence, abundance, evenness and richness of the termite mounds. Mounds were surveyed by field survey and photographic interpretation method during July 2021 to June 2022. Totally 119 mounds were found, out of which 18 are ground level mounds, 42 small mounds, 37 medium mounds and 22 tall mounds. To test its effectiveness and to know about the influence of the mounds on the ecological well-being, termite mounds were identified, compared and interpreted using google earth map and the results were statistically verified.
Machine Learning to Be Used in Recommendation Systems
Authors: H V Shashank
Published: July 2022

Abstract: Basic information on machine learning and recommendation systems, as well as case studies, are included in the paper. The techniques used in such systems, known as machine learning, were investigated in greater detail. The essay concentrated on content filtering algorithms as well as proximity- based filtering algorithms. There are explanations of the commonalities, restrictions, and benefits of different algorithms, along with measures for evaluating the algorithm and calculating thesampling result of the assessment prediction. The categorization of the used information from the Movie critic portal kicks off the project's planning phase. The technology, design, and deployment of the aforementioned algorithms are then displayed.The next part gives an overview of the findings and suggestions development of computer simulations of how the algorithms work. At the end of the assessment, you'll find a summary, an evaluation of the effectiveness of suggestion methods, and lessons learned from the study, as well as a request for more research on the subject.
Medical Diagnostic Systems Using Artificial Intelligence Algorithms: Principles and Perspectives
Authors: A Kavya
Published: July 2022

Abstract: The identification of ia health issue, disease, illness, or other condition that a person imay haveiis iknown ias ia disease idiagnosis.Sometimesiit may be extremely simple to diagnoseiaidisease,butiotheritimesiit may be more difficult. Large data sets iareiaccessible,butithe number ofitools i that can reliably iidentify ipatterns iand iforecast ioutcomes iis constrained. iTraditional imethods for diagnosing idiseases iarei labour-intensive iand iprone ito inaccuracy.When comparedito solely ihumanicompetence, ithe use of iAI iprediction iapproaches enables auto diagnosis and reduces detection mistakes. iFor ithe ipast ten years,i from January 2009 to December 2019, we have examined the recent literatureiin this publication.iA itotal iof i105 article iwere idiscoveredi in ithe ieight imost popular idatabases ithat iwere itaken into consideration by ithe iinvestigation. iThe imosti populariAIitechniquesiforimedicalidiagnosticisystems iwereicategorised after a thorough review of those papers. iWe ialso goioverinumerousidiseases and the irelevant iAI methods, such as Fuzzy Logic, Machine Learning,iand Deep Learning. iThe goaliof this study iarticle iis ito provide isome ikey iinsights iabout ithe various AI technique now being applied in ithe imedical industry,iparticularly in the areas iof heart disease iprediction, brain disease,iprostate, iliver and kidneyiillness.Last ibut not least, the report resolved issues
Review on Laboratory Work Used to Improve Quality of Asphalt Mix Using Different Waste Material Adding Stone Matrix Asphalt and Banana Fibre
Authors: Hussain Saddam
Published: July 2022

Abstract: Bituminous mixture is an admixture of coarse aggregate, fine aggregate and fill. Hot Mix Asphalt( HMA) is a type of bituminous mixture in which all molecules are mixed and compacted at high degree of temperature. HMA is available in two forms compact graded and Stone Matrix Asphalt( SMA), formally is known as Bituminous Concrete( BC) and another’s known as gap graded. SMA needs added threads to minimize the drainage through the material. In this study, a work has been made to enhance the stability of SMA using banana fibers along with binder content( BC). The admixture has been prepared as per the MORTH specification. The probability of BC and fiber content is varied from 4 to 7% and from 0.1 to0.5% . A number of tests have been performed on the marble dust to check it’s. As per the test analysis, Marble dust is introduced as an Optimum Binder Content( OBC) and has been used for the mix with an average value determined as 5% . After adding 5 of BC into the bitumen along with different probability of banana threads similar as0.1%,0.2%,0.3%,0.4% and0.5%. The tests have been performed on five different samples and tests values in terms of stability, inflow value, Air Void( VA) and Void in Mineral Aggregate( VMA) have been measured. From the test it has been observed that banana fiber enhances the stability of the mixed sample.
Hand Splint: A Review
Authors: Pervez Dr. M. Sohail
Published: July 2022

Abstract: A splint is a device consisting of bone, wood, metal, polymers, composites, or plaster of Paris that is used to stabilise, join, or protect a damaged body part. It may be movable or immovable. There are numerous methods of rehabilitation currently in use, but we are going to specifically study hand splints with their definition, advantages, disadvantages, uses, etc. in this review paper. We are also going to review the literature that is available in bibliographic databases and compare their findings. The search for these splints was conducted through bibliographic databases and internet searches until May 2022. These searches were also backed by scanning their references one by one, personal reference collections, and talking to physiotherapists. All static splints used in this review paper have been shown to be effective in reducing pain during any motion as well as at rest.
Future of E-commerce in India-2021: A Study from a Researchers Perspective
Authors: Anand Dr. Raghu G
Published: July 2022

Abstract: E-commerce stands for electronic commerce and performing business online and electronically. The E-commerce has entirely transformed the conventional perception of business. E-commerce deals with buying and selling of goods and services with the help of internet and computer networks. Hence, this research has focused on understanding the growth & development of E-commerce in India and what the current trends in E-commerce are. This research has adopted the qualitative research approach and provides a review of existing literature in order to understand the scope, growth and development of E-commerce in India with the current trends that derives industry growth. Findings of this study further indicate that E-commerce will see rapid and continuous growth in India. These works also find out, E-commerce delivers the several kinds of opportunities to the Retailers, Producers, the People and Wholesalers
Experimental Investigation on Zirconia Reinforced Aluminium 6061 Metal Matrix Composite
Authors: B E Chandan Gowda
Published: July 2022

Abstract: Composites prepared of aluminium that are reinforced with particles are frequently used in applications related to aerospace, defence, marine and space due to their exceptional characteristics, such as their high corrosion resistance, high fatigue resistance, high strength, high stiffness, high wear resistance, etc. In the current work, Zirconium dioxide was added in various percentages from 0.5% to 1.5% to Aluminium Alloy Al6061 composites using stir casting technique. The samples were made in accordance with ASTM standards for hardness, tensile strength, and microstructure analysis. Zirconium dioxide particles were found in the aluminium matrix according to microstructure investigations done with an optical microscope. The current study says that Zirconium dioxide was evenly distributed throughout the aluminium matrix and that there were no holes or porosities in the matrix. More than the base metal aluminium alloy, it had higher tensile strength and hardness qualities. Tensile strength and hardness qualities increased with an increase in zirconium dioxide content up to 1.5%.
Social Distancing Detection in Real Time using Deep Learning and IoT
Authors: N Dheeraj Shenoy
Published: July 2022

Abstract: Social Distancing is the practice of maintaining a minimum amount of physical distance from your surrounding people or avoiding direct contact with people or objects in public places so as to minimize the exposure or transmission of diseases like COVID-19. This can also be coupled with wearing of face masks and regular sanitization of hands. The government has made social distancing norms compulsory and to be followed, and penalties would be imposed if violated. But there are a lot of examples of social distancing violations in public places due to negligence of people. There are approaches using bluetooth and mobile phones but it requires an app to be installed. This study provides a method for determining whether the social distancing rule has been broken by combining machine learning models and object detecting techniques. Appropriate actions would be taken in case of any violations detected. In this paper, a comparison is done on all the object detection techniques like Faster R-CNN, YOLO v3, SSD Mobile Net etc. based on accuracy, mean average precision, computational time and ease of integration. Based on this, SSD Mobile Net performed well on accuracy and had a faster computational time. This model can also be deployed on end devices like Raspberry Pi.
Melanoma Disease Detection and Classification Using Deep Learning
Authors: S A Kethana
Published: July 2022

Abstract: The people health more than any other diseases. Skin diseases are mostly caused by fungal infection, bacteria, allergy, or viruses, etc. The lasers advancement and Photonics based medical technology is used in diagnosis of the skin diseases quickly and accurately. The medical equipment for such diagnosis is limited and most expensive. So, Deep learning techniques helps in detection of skin disease at an initial stage. The feature extraction plays a key role in classification of skin diseases. The usage of Deep Learning algorithms has reduced the need for human labour, such as manual feature extraction and data reconstruction for classification purpose. A Dataset of 10015 images has been taken for the Classification of Skin diseases. They include Melanoma, Nevus, and Sebborheic Keratosis. By using CNN algorithm, 92% accuracy is achieved in classification of skin disease.
Building a Monitoring Framework for a Distributed Cloud Application Using Prometheus and Chef - An Overview
Authors: D N Adamyaa
Published: July 2022

Abstract: A Distributed Cloud Application has multiple in-stances dedicated for specific use cases, which requires constant monitoring to avoid hassles in the clients’ experience. This in-cludes checking for services, checking for ports and the statuses of various components and component groups present and running in the application. The monitoring framework would alert the support team of any issues, thereby helping them resolve issues immediately. This paper provides a high level generalized overview on building this monitoring framework and automating its installation using Chef
Exploration of Spectroscopic Study of Screen-Printed Tungsten Oxide: Tin Oxide Nano-Composite Powder Fired at High Temperature
Authors: Nikam R. M.
Published: July 2022

Abstract: Thick films of pure Tin oxide (SnO2) and composite 1%, 3%, 5%, 7% and 9 % tungsten oxide (WO3) incorporated into pure Tin oxide (SnO2) were prepared with standard screen printing technique. All samples were prepared on glass substrate and subjected to drying and firing at 5000C at 5 hours in muffle furnace. Thick films of tin oxide (SnO2) and composite 1%, 3%, 5%, 7% and 9 % Tungsten Oxide (WO3) incorporated into pure tin oxide (SnO2) were examined for Scanning Electron Microscopy (S.E.M), Energy Dispersive X-ray Analysis (E.D.A.X), X-ray diffraction (X.R.D), Fourier Transform infra-Red (F.T.I.R) and Ultra-Violet-visible spectroscopy (U.V) to investigate surface morphology, elemental analysis, crystalline Phases of films, vibrational and spectroscopic study respectively. The spectrophotometric parameters such as absorbance and absorption coefficient were also a part of investigation. The UV-visible spectrophotometric study was encountered in terms of absorbance and absorption coefficient along with varying percentage composition.
Rafi Steel PVL Safety Culture
Authors: M Aarthi
Published: July 2022

Abstract: To study and conduct safety audit that the one of reputed esteemed industry of RAFI STEELS PVL, Dindugal. The safety aspects consists of labour safety, Material safety, accident causes, Machinery safety, Ergonomic issues, Hazards identification, and Emergency safety plan. The RAFI STEELS PVL safeties forecasting technique has analysis and find out that if any deviation with compare to actual safety process. The RAFI STEELS PVL safety aspect has learned practically that standard regulation and emergency techniques used in engineering industries. The emergency safety planning and basic safety audits techniques are learned.
RPA in Banking Sector
Authors: B Vaishak
Published: July 2022

Abstract: The project presents an implementation of a prototype of robotic process automation (RPA) for banking system. The world has evolved digitally which is further getting automated. Transformation in automation field is a constantly evolving process where Robotic Process Automation came into the process of renovation and is playing a vital role. RPA is becoming a valuable tool in all the sectors mainly in banking and financial institutions. RPA is depicting how easy manual things can be achieved and has shown a lot of various benefits for different fields. The system utilizes RPA bots for the automating purpose. The aim of thiswork isto automate the repetitive tasks with path planning techniques to create a system that is able to navigate in given static environments.
Detection of Malware in Android Phones Using Machine Learning
Authors: K Poojitha
Published: July 2022

Abstract: In a major cyber security scare, around 1.5 crore Android devices in India have been infected by malware without the knowledge of the users. According to a report by cyber security solution firm Check Point Research in 2020, a new variant of mobile malware has quietly infected around 2.5 crore devices worldwide. Malware is any type of malicious software or code designed to harm a user's device, such as trojans, adware, ransomware, spyware, viruses or phishing apps. The permissions and API-calls are extracted from all Android applications, and both were included as features in the dataset. It is a process of analysing the malware binary without running the code. To offer a simple, streamlined, document-centric experience Jupyter Notebook interactive development environment and Flask is utilized. The Androguard tool and genetic algorithm analyses the APK files by separately extracting the permissions for each APK file. Supervised Machine Learning algorithms used are Support Vector Machine (SVM) and MLP an ANN numeral network approach is used to compare the traditional machine learning techniques. Experiments will be conducted on two types of models, traditional machine learning classifiers and deep learning neural networks. Initially, the classifiers are trained using the dataset, taken from android malware dataset and then testing and evaluationis performed based on the extracted features. An efficient method to detect the presence of malware in the android mobile phones using the permissions, API calls is implemented and the best classifier is identified which gives optimal results with accuracy, F-measure, Recall, and Precision scores. This would enable users to easily navigate various resources available with an adaptive user interface using android application.
Green Based Software Engineering Approach for Sustainable Protocol
Authors: Verma Neeta
Published: July 2022

Abstract: A sturdy green software model is the prominent necessity for various governments fields and banking areas for Energy utilization processing. The model should give all the Energy consumption aspects namely power consumption, utilization of Memory, (Co2) Carbon dioxide release which is related to development of software and make it energy efficient. For Software Development Life Cycle phases this research paper proposes a new green software model for the virtual host machine, which is the base for all the Green based Software Development process.
Movie Recommendations Based on Emotions Using Web Scraping
Authors: K H Latha
Published: July 2022

Abstract: A recommender system help the users to get personalized recommendations, helps users to take correct decisions in their online transactions, increase sales and redefine the users web browsing experience. The purpose of this project is to recommend a list of movies for a user based on a specific emotion to suit his/her needs and desires. This recommendation system can be achieved through web scraping. Web Scraping is an automatic method to obtain and extract content and large amounts of data from websites. This recommendation system can also provide insights to current movie trends and latest people’s favorites.
Optimized Hand Gesture Based Home Automation for Feebles
Authors: R Hithaishi
Published: July 2022

Abstract: Home automation innovation is utilized to plan and actualize inaccessible, vitality proficient and versatile keen homes with the essential highlights that guarantee inhabitant consolation and security. A savvy domestic robotization framework that mechanizes fans, lights, and other apparatuses for individuals with disabilities, the elderly, and out of commission patients utilizing hand signals. The framework comprises networks (sensors and gadget actuators and cameras that portray a controller that communicates with a hand-off that speaks to the client interface and an Arduino microcontroller). Smart homes are cost effective since they utilize video handling frameworks and sensors. Send and get commands utilizing the MQTT server. It employs a remote WIFI module named Esp8266 NodeMCU to supply smooth and hassle-free WIFI use.
Automatic Workpart Transfer Mechanism
Authors: Vardai Anjali
Published: July 2022

Abstract: The main concept behind our project is replacement of treadmill mechanism for small scale industries which is fully automated, functional, easy to use, highly accessible and easily maintainable. There is a serious demand for mechanisms for movement of packages in the industries right from the start to end. The advantage of our system over the conveyor system is that the system has a time delay between moving packages and this delay can be used to introduce any alterations in the package or move the package for any other purposes. While in conveyor system such actions cannot be performed unless programmed module is used to produce intermittent stopping of the belt which basically is costly. Here we are working to convert rotary motion into reciprocating motion by means of a single slider crank mechanism this prototype is solely based on four bar mechanism. Conventional conveyer systems consist of belts, large input/output motors etc. which increases the initial cost as well as maintenance cost. The results from this project can be used by many small-scale industries and in-house industries where conveyor system is not accessible
Investigation and Analysis of Factor Affecting Cost Overrun For Bridge Construction
Authors: Kumar Patel Kiran
Published: July 2022

Abstract: Construction duration and the cost of project at the closing date are the two important criteria to describe a construction project as successful. Most civil engineering large projects, regularly, have delays and cost overruns. Also most of the construction projects are facing with low quality, and health and safety accidents during construction. A questionnaire was undertaken to investigate factor affecting cost overrun for construction. In this project the result of the questionnaire was summarized and discussed. Major factors affecting the success of a construction project categories in the questionnaire and they were ranked with respect to the frequency and importance indices separately. It was obtained that, inadequate contractor experience, poor supervision and site management, shortage of skilled labor, financial difficulties of contractor were the most important causes of delay, cost overrun, low quality, and health & safety problems on the construction sites.
A Review on Phase-Changing Material in Battery Management Systems
Authors: Pavadad Aditya
Published: July 2022

Abstract: Phase change materials (PCMs) are substances that assimilate or deliver a lot of supposed "idle" heat when they go through an adjustment of their actual state, for example from strong to liquid as well as the reverse way around. Even though a ton of progressions have been made in electric vehicle batteries which helps in conveying more power while requiring fewer charges, the capacity to plan a viable cooling framework is as yet a major worry for the security of a battery. Warm capacity is utilized to build the cooling limit during the hot days while utilizing the colder air around evening time to re-energize the warm stockpiling. CNT helps in working on the warm conductivity of the composite. The disadvantage of issues like PCM bundling, plan specifying, volume change, and spillage ought to be recognized for the further improvement of Phase Change Material based Battery Management Systems.
Hyperloop
Authors: Pavadad Aditya
Published: July 2022

Abstract: The modification and modernization of renewable source of energy in the transport segment has brought upon the existence a modern technology of transportation through vacuum reducing forces. Hyperloop Transportation System are proposed high-speed systems that have chambers that are shot at high speeds of about 1000km/hr through a dragged-out hollow cylinder. As initiated by Elon Musk along with a group of engineers in 2013 to provide the fastest means of transportation. The system works on the principal of electromagnetic force of attraction. The transportation system contains a tube that is at low pressure which is surrounded by thin air which allows the case to travel thoroughly through the cylindrical tube.
Growth of Electric Vehicles in India
Authors: Mohanty Gaurav Vikas
Published: July 2022

Abstract: The cost effective and less polluting electric powered vehicle market is progressing in India. Vehicle associations are changing the vehicle business, making creative new variation cars. The EV market is developing quickly and the upcoming models, developments forecasted is to be greater. Pre-existing vehicle producers know about this change and are attempting to uncover new “half and a half” or electric vehicle model. Created nations like the United Kingdom and France have been wanting to disallow diesel and petroleum vehicle deals from 2040. Specialists recommend that Europe's new vehicle deals will probably be all-electric in five years in short order. There is increasing responsibilities and contest among driving vehicle producers and organizations inside the car business. Nations like Norway are meeting fast movement in the market. In Norway's new vehicles deals in 2017 December, practically 30% vehicles dispersed are powered electrically. Energy specialists accept business sectors of China and India will drive vehicle interest and because of less fossil fuel by-product challenges, EV advancement will be high on these nations' political plans. Many organizations are intending to present EV charging focuses as the EV industry development is expanding.
A Review on Supply Chain in Agriculture Sector
Authors: Beriwal Krishan
Published: July 2022

Abstract: Furious contest in today's worldwide business sectors, the presentation of items with increasingly short life cycles, and the elevated assumptions for clients have constrained business venture to put resources into and focus consideration around their stockpile chains. This, along with proceeding with propels in correspondences and transportation advancements (e.g., versatile correspondence, Internet, and short-term conveyance), has persuaded the ceaseless development of the production network and of the methods to oversee it. At the point when an organization makes an item with the assistance of parts bought from providers and those fabricated items or merchandise are offered to clients then the entire interaction is known as Supply chain. It is moreover implied as the arranged activities association, containing suppliers which incorporate arrangement of unrefined components, manufacturing centres, stockrooms, course centres, and retail outlets, as well as normal substances, work in process stock, and finished things that stream between the workplaces.
IBM Watson Studio for Building an Automated Essay Grading System
Authors: K C Santosh
Published: July 2022

Abstract: Essays are one of the most important methods for assessing learning and intelligence of a student. Manual essay grading is a time-consuming process for the evaluator, a solution to such problem is to make evaluation through computers. Aim of this paper is to understand and analyze current essay grading systems and compare them primarily focusing on technique used, performance and focused attributes.
Gesture Controlled Magical Keyboard using Arduino
Authors: Patil Dhanashree R.
Published: July 2022

Abstract: Every component of a computer has evolved since its inception. Our daily lives are made very convenient and simple by computers. These days, a controller with several keys is used to operate these machines. A keyboard has several restrictions and resource requirements, but it also has a wide variety of physical features for the keys. However, the in-touch keyboard, which developed from a physical keyboard, has a lot of disadvantages. The Internet of Things (IoT) architecture is used by the remotebased gesture keyboard, which also includes an accelerometer, Arduino, and machine learning technology to force the system to act in a particular way. In current work, the detailed review and experimentation of Gesture Controlled Magical Keyboard is presented. The idea behind the gesture-controlled keyboard is that it allows users to enter text and numbers into text editors by moving their hands in a particular way to represent a character in the air using an Arduino board. The Arduino will function as a remote control, transforming airborne movements into text that is shown on a computer screen.
Design and Verification of LC3 Microcontroller
Authors: U N Kirana
Published: July 2022

Abstract: The main focus of the work is on utilising System Verilog to verify and debug the LC-3 Microcontroller, a 16-bit RISC processor. The utilised LC-3 Design Under Test (DUT) contains numerous flaws in the Fetch, Decode, Execute, and Controller sub-design units as well as flaws throughout. Numerous intricate SV features, including OOPS, Randomization, Functional Coverage, Assertions, and UVM, are used to identify the problems. For testing and determining the origin of design problems, the System Verilog Hardware Verification Language is combined with the Mentor Graphics Questa Simulation Environment. As long as it adheres to the design standards, the LC-3 microcontroller used for verification is presumed to function flawlessly. Otherwise, any behaviour that is not in line with the design specifications is considered a bug. The paper offers an effective approach for Verification Engineers in the Embedded Systems Industry to use System Verilog, the newest trend in the EDA Industry today, as their preferred language for debugging.
Credit Card Fake Revealing Analysis and Prediction of Algorithms
Authors: M V Sushma
Published: July 2022

Abstract: Credit cards are frequently used in conjunction with the Internet to make payments. The project primarily aims to detect credit card fraud in the real world. Today, our lives have become more and more dependent on online transactions. As technology advances, the number of fraud cases also increases, and ultimately, a fraud detection algorithm needs to be developed to accurately find and eradicate fraudulent activity. Some Machine Learning algorithms can be applied to collect data to address this problem. These machine learning algorithms ultimately optimize the accuracy of the result data. Technique performance is evaluated based on accuracy, f1 score, and precision and recall. Then, processing some of the technique provided attributes identifies the fraud detection and provides the visualization of the graphical model. Classification based algorithms such as logistic regression, random forest and KNN for processing highly unbalanced datasets.
Synthesis and Characterization of 1-D Cerium Oxide to Study Their Humidity Sensing Application
Authors: Khadse V. R.
Published: July 2022

Abstract: The formaldehyde-assisted hydrothermal system is used to synthesize CeO2 nanorods by using precursor like cerium chloride. Concentration of precursors and hydrothermal temperature affects the morphologies of these one-dimensional (1D) CeO2 Nanomaterial’s. This is achieved to control the reaction degree of Cannizzaro disproportionation tuned by Na/Ce molar ratio. The XRD, FESEM, FTIR and TEM these characterization techniques have been used to characterize the crystal structure and morphology of the as-synthesized CeO2. Humidity sensing characteristics such as hysteresis, repeatability, impedancerelative humidity (RH) characteristics, response and recovery behavior, and stability of CeO2 nanostructure have been investigated in detail for given precursor. The sensor showed rapid response and recovery, prominent stability, high humidity sensitivity, good repeatability and narrow hysteresis loop i.e. suitable candidate for the fabrication of the humidity sensors.
Experimental Study of Engineering Properties of Fibre Reinforced Sand
Authors: Kumar G. Uday
Published: July 2022

Abstract: Due to rapid infrastructure development, the need for ground improvement is increasing. Various materials are used for ground improvement. In the present study, Synthetic polyester fibre is used for stabilizing silty sand. Tests were conducted on plain sand and also fibre reinforced sand. The properties of stabilized soil such as compaction properties and shear strength characteristics are evaluated. The effect of fibre length, fibre content on strength parameters is observed. The results indicated improvement in strength for fibre reinforced soil compared to plain soil.
A Review on Cost & Quality Analysis of Bio-Deposited Recycled Aggregates Concrete
Authors: Dey Santanu
Published: July 2022

Abstract: Internationally, the utilization of concrete particularly high-strength concrete has been increasing day-by-day due to rapid industrialization and infrastructural developments. An enormous quantity of natural coarse aggregate is required for making concrete to meet the huge demand. Construction activities mainly depend on natural resources as a source of raw materials, leading to ecological imbalance & the natural resources of coarse aggregate are depleting rapidly all over the world and urgently need to be conserved. On the other hand, millions of tonnes of construction and demolition (C&D) wastes are being generated from different sources. So far the disposal of these huge quantity of (C&D) waste is posing a big problem to the local administration & environment. In this study, recycled aggregates were collected from a 20-30 year old demolished building at the university and recycled into fractions of 1.20 mm~2.45mm and 10 mm~20 mm and replaced for both fine aggregates and coarse aggregates. In this study, by surface treatments on coarse fractions of recycled aggregates were treated by microbes, and the properties of the RAC were studied with the combination of both surface-treated recycled coarse aggregates and un-treated recycled fine aggregates