Volume 11 | Issue 4

 Abstract

The rapidly increasing number of wireless systems is exacerbating the already significant challenge of limited frequency spectrum bandwidth in modern wireless systems. To address this scarcity of spectrum, secondary systems can adopt an opportunistic approach by accessing temporarily unused licensed bands of primary systems. This approach, known as cognitive radio technology, allows secondary systems to modify their transmitting parameters. so to minimize interference with primary users. The problem of spectral crowding can be addressed by utilizing cognitive radio technology, which involves opportunistically utilizing frequency bands that are not heavily occupied by licensed users. This approach provides a promising solution to the challenge of limited frequency spectrum bandwidth in modern wireless systems. With the development of prototypes and the implementation of these approaches on testbeds, researcher scan the effectiveness of cognitive radio approaches and ensure their successful deployment in the real world. The application of cognitive radio technology has attracted significant research interest and has the potential to introduce new approaches to the usage of available spectrum, thereby improving the efficiency of wireless systems.

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 Keywords

Cognitive Radio Technology, Testbeds , Licensed bands.

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 Abstract

The pregnancy and the postpartum period are predisposing the occurrence of the venous thrombosis. The purpose of our study is to investigate the epidemiologic, clinical, paraclinical and therapeutical aspects of the venous thrombosis during the pregnancy. This is a retrospective study about 49 cases, achieved in the department of obstetrical intensive care unit of UHC Ibn Rochd of Casablanca, over a period of five years (2012-2016). The incidence of the venous thromboembolic disease is 2 to 3 per 1000 pregnancies, the average age is 49 years old, with a predominance of the supervene in the postpartum period (63%). The main site is the deep vein thrombosis of the lower limbs (62%) of the left side in more than half of the patients. The frequency of the pulmonary embolism is 12% and the frequency of the cerebral thrombophlebitis and ovarian thrombosis is 4%. A spleen thrombosis, rarely described in the literature, was noticed in one patient. The definite diagnosis is based on the use of the venous Doppler echography of the lower limbs, the thoracic and abdominal angiography, and the brain magnetic resonance. The thrombophilia represents the main risk factor even if the complete examination could not be applied in all patients. In our sample, the feeding, the history of thrombosis and multiparty were predominant. The treatment is based on the heparin and the ant vitamin K according to the pregnancy term and the environment of the patient; the evolution was favorable in 94% of the women in labor. The management of the venous thromboembolic disease requires a multidisciplinary approach because of its significant morbidity and mortality, here the necessity to deal with the problem, to look for predisposing risk factors in order to guarantee adequate prophylaxis.

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 Keywords

thromboembolic disease,risk factor,Peripartum,anticoagulant

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 Abstract

It is to identify the hazards to assess the associated risks and to bring the risks to tolerable level. Shock absorber activity because of the engineering view of the operation, complexity of the systems, procedures and methods always involves some amount of hazards. Hazard identification and risk analysis is carried for identification of undesirable events that can leads to a hazard, the analysis of hazard mechanism by which this undesirable event could occur and usually the estimation of extent, magnitude and likelihood of harmful effects. It is widely accepted within industry in general that the various techniques of risk assessment contribute greatly toward improvements in the safety of complex operations and equipment. The objective of hazard and risk analysis is to identify and analysis hazards, the event sequences leading to hazards and the risk of hazardous events. As of my study from Tenneco automotive i have identified the problem from simple qualitative methods to advanced quantitative methods are available to help identify and analysis hazards. using these technique, we identified the Bump Cap Pressing machine has 50% of injuries when compared to other machines in Damper Assembly. In that machine 75 % of injuries by human error and 25% are machine Errors. So Implementation of safety light curtain device on machine to reduce the 75% of machinery hazards.

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 Keywords

Magnitude, Analysis hazards and Risk assessment.

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 Abstract

The growing population has added growth in electricity calls for waste manufacturing; subsequently, it is of great need to offer an opportunity for fueling. This evaluation article includes figuring out parameters for increasing the performance of a biogas plant. In this article, green waste using L.A.B. has been used as a substrate for biogas manufacturing which no longer handiest produces greater biogas compared to traditional substrates; however, it additionally solves the trouble of municipal moist waste disposal. The parameters discussed within the paper are temperature, pH, particle period, C.N. ratio, overall solid and unstable depending on the green waste slurry, and working situations of biogas plant-like organic loading waste, retention time, agitation, filtration, and storage of biogas. The method proposed processing inexperienced waste through a shredder mechanism via a hopper into a bio-digester, storage of biogas, and filtration before utilization.

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Keywords - Biogas, green waste, methane, wet waste, carbon neutral, LPG, digester, orset, shredder, etc.

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Sign Language is a non-verbal communication system in which people communicate by visually transferring sign patterns to express their meaning. To express their thoughts, sign language is used widely. As a solution to the problem, this project implements a system to assist deaf and speech-impaired people in capturing their sign-based message via the camera and then converting it into text and audio form. Therefore, it will be very easy for them to communicate with any person at any place and get their work could be done very smoothly. The main purpose of the project is to eliminate the communication gap and to improve the interaction between speech-impaired people and the common people. This project consists of main two modules: 1. Hand gesture recognition 2. Speech recognition. For the recognition of gestures, we are making use of a Convolutional neural network (CNN).

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 Keywords

Convolutional Neural Network ( CNN), Gesture recognition, Training, Speech Recognition, Machine Learning, image processing, Local Binary Pattern (LBP)

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The boom in the use of social media in our time has no doubt brought a lot alteration in different language conventions. What is Social Media? Social media refers to the means of interactions among people in which they create, share, and/or exchange information and ideas in virtual communities and networks. The office of Communications and Marketing manages main Facebook, Twitter, Instagram, LinkedIn and YouTube accounts. Social media is about conversations, community, connecting with the audience and building relationships. It is not just a broadcast channel or a sales and marketing tool. Social media enables you to: Communicate and stay up to date with family and friends around the world. Find new friends and communities; network with other people who share similar interests or ambitions. Join or promote worthwhile causes; raise awareness on important issues. What is language? A language is a structured system of communication. The structure of a language is its grammar and the free components are its vocabulary. Languages are the primary means of communication of humans, and can be conveyed through speech, sign, or writing. Many languages, including the most widely-spoken ones, have writing systems that enable sounds or signs to be recorded for later reactivation. Human language is not dependent on a single mode of transmission (sight, sound, etc.) and is highly variable between cultures and across time. So, One of the most notable ways that social media has influenced the English language, is through the appropriation of existing vocabulary. Words that had existing meanings, have now been given other meanings in an online context, which then spills over into verbal communication. Social media how been used for teaching and learning quite for some time. Social media and language as a learning platform making it possible for students to do self study, exchange ideas, give commands submit the assignments in order to improve their grammar, knowledge and writing ability.

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Social Media, Language, Communication, Writing skill, learning platform.

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This research paper focuses on the implementation of advanced machine learning algorithms in power system control. Power systems are complex and dynamic, and require effective control mechanisms to ensure stability and reliability. Machine learning algorithms have the potential to improve power system control by enabling predictive and adaptive control strategies. In this paper, we explore the application of various machine learning algorithms, including artificial neural networks, support vector machines, and deep learning, for power system control. We also discuss the challenges and opportunities associated with the use of these algorithms and provide a review of recent research in this field.

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 Keywords

SVM (Support Vector Machine),ML (Machine Learning), AI(Artificial Intelligence) ,ECOC(Error correcting output code), RBF (Radial Basis Function), SSI (Static security Index),SS L( Static security level.

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The smart stick is a device designed to assist blind and elderly individuals with mobility and navigation. It utilizes advanced sensors and technology to detect obstacles, provide audio cues and vibrational feedback, and offer GPS-based navigation. The compact and ergonomic design of the stick allows for easy and comfortable use, improving the independence and safety of the user. The smart stick enhances the daily lives of those with visual or physical impairments by providing real-time information about the environment and guiding the user toward their destination.

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Creative Commons Attribution 4.0 and The Open Definition

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Smart stick , smart stick for blind people

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Creative Commons Attribution 4.0 and The Open Definition

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As we know, Internet of Things (IOT) and the internet have completely taken over today's world. Only a selected few gadgets, such as PCs and smartphones, are internet-connected in the modern world. All humans utilize the internet to fulfil basic needs. The network of actual items is known as the Internet of Things (IOT). It simply refers to the act of keeping an eye on a machine or physical object. It can also refer to the interconnection of physical objects that have been embedded with electronics, sensors, software, and network connectivity to enable them to provide better value and services by exchanging data with their creators. This project is envisioned as an IOT-based plant monitoring system. We employed a variety of modules in this project, including IOT, temperature, moisture, and humidity sensors.

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IOT, Humidity, Moisture, Monitoring, Temperature etc.

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Creative Commons Attribution 4.0 and The Open Definition

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The goal of this project is to create an IoT-based surveillance and monitoring system for the safety of a child or pet in a car. It can be used to locate a baby who has been left or trapped inside a vehicle. It is also capable of detecting motion performed by a person in a vehicle. The IR Sensor detects living organisms inside the car cabin by detecting infrared radiation waves. Using the DHT11, MAX30102, and MQ 135 this project monitors the temperature, pulse, and other toxic gases released inside the car. We are using a MEMS sensor to detect whether the baby has fallen out of the baby cradle. we can control the glasses of the car by using the servo motor. The WI-FI (ESP8266) module uploads all sensor values to THINGSPEAK. The Arduino Mega 2560 (AT Mega 2560) microcontroller. This system can also be used to intentionally leave children in the car. The sensors are the project's beating heart. We can monitor the baby's condition inside the car because all sensor values are uploaded to THINGSPEAK. If an unwelcome event occurs, we can use the servo motor to control the car's glass. Apart from the smart phone application, this System also has a Buzzer as an alternative to a security alarm and requested immediate assistance from the people in the surrounding area. If their parents leave, the proposed system will monitor the children, which can be installed and used for real.

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 Keywords

ARDUINO Mega 2560, ESP8266, DHT11, MAX30105, MEMS, MQ135-Gas Sensor, THING SPEAK, IoT

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 Abstract

Today, most people are working to reduce the amount of non- biodegradable waste on the planet. While everyone will continue to oppose plastic, these same people will unwittingly incorporate plastic into their first habit: they use a plastic toothbrush. Although it can be difficult to make significant changes in our lives, we can always start small. Consider switching from plastic toothbrushes to bamboo toothbrushes. Bamboo toothbrushes are affordable, simple and environmentally friendly. It is also vigorous and fast growing. Most toothbrushes on the market today are made of plastic and come in different shapes and designs. This could harm your customers. Also, plastic toothbrushes can be very harmful to us, which can be harmful to your customers.

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Environmentally friendly, sustainable, biodegradable

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An electric bike that uses an electric motor to move. On this bike, people don't need to use their physical bodies to move. It uses electrical energy for movement. These are also called electric bicycles. There are many types of electric bikes. Some of these bikes have rechargeable batteries. This allows you to easily power your bike whenever you want. They use electronic devices stored in other formats. Because of this form of energy, the bike has more power and speed. These bikes are more convenient than regular bikes. Today's world needs advanced technology that can solve current problems and future problems. Currently, the scarcity of fossil fuels is a big problem. Consider that the current cost of using fossil fuels will only last for the next five years. An unfavorable change due to weather is a red signal to not use more bones. Electric bicycles are another great alternative to gas vehicles that provide mobility and transportation for people. The electric bike of the future is the best of technology as a vision solution for a better world, the next generation and the environment. Electric bicycles feature high performance, compactness, electric power, comfortable ride and light traffic. Considering the advantages of electric bicycles, electric bicycles are the most widely used mode of transportation today and in the future.

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A STUDY ON ELECTRIC VEHICLES.

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 Abstract

Women Safety Band

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 Keywords

Safety Band, IOT, Women, Protection, Tracking Device

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 Abstract

A total of twelve strains of filamentous fungi were isolated from soil, and berries collected in coffee-growing areas of Chikmagalur. Fungal growth and isolation made on PDA culture medium. Most of the isolated micro-organisms belong to Aspergillus, Penicillium, Trichoderma, Fusarium, and Humicola genera. A comparative study on the evaluation of natural microflora present in coffee growing soils, wet pulp and coffee husk (dry) revealed the presence of a wide variety of microorganisms. Coffee pulp and husks are the major products in coffee curing industry that usually thrown as waste, because of caffeine and tannins, on land causes pollution. But these mycoflora degrade completely in an ecofriendly manner. Exploration of naturally occurring fungi on the different samples gives the idea of natural decomposition of coffee waste in bulk, in an eco-friendly manner.

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PDA, Eco-friendly, Microflora, Caffeine, sustainable, eco-friendly,Natural degradation

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Abstract: Odontogenic keratocyst (OKC) is a common developmental odontogenic cyst affecting the maxillofacial region that arises from the dental lamina. The OKC is distinctive among jaw cysts and has tendency toward recurrence along with aggressive clinical behaviour. The recurrent rate of OKC is 25-30%. The following is an article of a case report of a 31yr female who presented with OKC involving right mandibular molar tooth region

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Key words: Carnoy's solution, Keratocyst, Enucleation, Marsupialization, Odontogenic, Mandible.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Everyone wants the best from the restaurants like food, ambiance, service, food price, etc. To know about the best restaurant, people have to spend time on it, and they have to read all the data on the internet to avoid this problem our system helps to know which restaurant is best by predicting all the positive and negative reviews from the restaurant customers. The existing solution was that for restaurant reviews most of the machine learning algorithms will take only numerical data that was for example of rating 1-5 where the people should understand one as poor two rating as worst 3 rating as average and four rating as good 5 rating as best but with this customer who are viewing the reviews have to analyse the things around that. In the proposed solution it will calculate an overall rating for the collected text reviews, by using optimal algorithms, so that the people will get an idea of which restaurants suit them. Based on their satisfaction levels the customers will give ratings for the restaurants, and this can be done by Natural Language Processing Techniques.

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Text reviews, formatting, style, stop words, text words recognization , insert .

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Creative Commons Attribution 4.0 and The Open Definition

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The transformation of cities into smart cities is being done these days. Smart city initiatives responding to environmental problems such as air pollution ensure clean air. This paper introduces an automatic air quality monitoring system that monitors environmental conditions in real time. This proposed system is based on IoT technology and embedded systems. This system also includes electronic devices such as sensors to sense the environmental conditions and the Arduino Uno board for the system's performance. A LoRa module is introduced in this system for communication over long ranges. The communication modules such as Bluetooth, Zigbee, and Wi-Fi also can be used but LoRa is introduced in this system to communicate at long ranges. Bluetooth, Zigbee, and Wi-Fi are tended to be used for short-range communications as compared with the LoRa module. This project is a LoRa-based smart city air quality monitoring system the main purpose of this system is to monitor smart city environmental conditions such as temperature, humidity, rain, and pressure, and detect light and pollutants in the air. The values of these environmental parameters are stored on a cloud server that uses the LoRa Gateway for communication. Data can be monitored by the user from the cloud server and values are displayed in the form of graphs or tables.

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 Keywords

Sensors, LoRa, Internet of things, Arduino.

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 Abstract

One of the oldest systems of medicine in the world, ayurveda has contributed to the development of several substances with medicinal benefits. Limonia Acidissima also has several medical and nutritional benefits. The monotypic genus Limonia (also known as Feronia elephantum, Hesperethusa crenulata, Feronia limonia, and Schinus limonia) is a member of the Rutaceae family of citrus plants. In India, Limonia Acidissima is also known as kaitha, kavit, elephant apple, curd fruit, monkey fruit, and wood apple. The leaves, bark, roots, and fruits are widely used in medicine. They are also frequently used to treat peptic ulcers, chronic diarrhea, and dysentery, among other conditions. Anthelmintic activity of different extracts of Limonia Acidissima leaves were evaluated against Indian earthworm. Various concentrations of the extracts were bioassay for the determination of time of paralysis (p) and time of death (d) of the worm. Albendazole at a concentration of 20 mg/ml has been used as reference standard. In our present study, the crude pet. ether and ethanol extract demonstrated paralysis and also caused death of worms especially at the higher concentration (50 mg/ml). This study confirmed the use of plant leaves as an anthelmintic agent. The main focus of the current article is on the morphology, nutritional value, phytochemistry, and pharmacological activities of the many components of Limonia Acidissima, all of which have received little attention or use.

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Limonia Acidissima, pharmacological action, Rutaceae, phytochemistry, nutraceuticals

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 alert based systems, identify flames before any loss or destruction occurs. In this model, we are trying to create a system which immediately alerts the user or client by generating a notification on android application and also prevent major damage to the property. 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. After detection of fire the NODEMCUESP8266 will be using the buzzer in order to alert the surroundings. To prevent major damage, the detector will detect flames caused by a fire accident and activate the water sprinkler, and also Air filter which filters the air which contains harmful gases released in a fire accident. And we will be using a Fan which eliminates the smoke with the help of air filter. The appliance system includes components such as a buzzer for alarming, displaying temperature, humidity and to put out the fire, we use motor pump which acts as a water sprinkler, we use DC Fan for removing air, we use Air filter for removing harmful gases formed in the accident.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nodemcu8266, buzzer, Air filter, DC Fan, Fire sensor, Android Application, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the last decade, sentiment analysis has been considerably applied in multitudinous disciplines, including business, social networks, and education. Particularly in the education sphere, where dealing with and recovering scholars' opinions is a complicated task due to the nature of the language used by scholars and the large volume of information, the operation of sentiment analysis is growing yet remains challenging. The present education system represents a terrain that is continuously amended by a massive amount of data that is generated daily in various formats and utmost constantly hides useful and precious information. The sentiment/ opinion opposition, which could either be positive, negative, or neutral, represents one's station towards a target reality. passions, on the other hand, are one's heartstrings expressed regarding a given content. Feedback is the statement transferred to reality about its formerly gist from which reality can anatomize the future and current behavior to achieve the awaited result. Feedback plays an important part in education and knowledge by helping to adopt new knowledge and help repeat mistakes. Sentiment analysis can be conducted at a word, judgment, or document position. still, due to many documents, manual handling of sentiments is inoperable. therefore, automatic data processing is demanded. Sentiment analysis from the text-predicated, judgment, or document-position corpora is employed using natural language processing (NLP). To know the exact sentiment of the scholars' textual feedback fashion is used. In this textual form, pupils are given a set of questions and they need to answer it in rulings. It is helpful to both the academic administration and the preceptor to overcome the issues related to their association. The end is to prize expressions of opinion and classify them as negative, positive, or neutral using machine knowledge ways

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Student feedback, Text Analysis, Data mining, Sentiment classification, NLP, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition