Reviewerly/exHarmony huggingface dataset:
Machine Learning Based Problem Solving Approach in Green Computing

The issues related to conventional generation of electricity arethe matter of concern for power sector today. These include diminishing stock of coal over a period of time, unavailability of good quality coal, non-sustainable issues, ash handling problems etc. Green energy is the alternative to overcome these problems. The green energy is sustainable, renewable and economical. In India, the existing ratio of conventional to non-conventional generation as on 30 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> June 2022 is 72:28%. It is required to further improve this ratio to the tune of 60:40%. The performance of the green energy systems can be optimized by AI ML based green computing. Under the umbrella of AI, several technologies have been emerged. These technologies are machine learning, deep learning, data analytics, robotics, neural networks, expert systems, fuzzy logic systems, natural language processing, genetic algorithms etc. The green computing can be made more effective through research as regards how to use these technologies. In this paper, a novice techniques of AI ML based green computing have been proposed. Python programming language is used as a back end programming tool. The proposed methods are simple, cost effective and feasible.
A Marker-based AR System on Image Shadowing for Tourists

At tourist attractions, in more cases, the human guides charge hefty amounts, and a manual is only available in some places. This work is about building a traveler-friendly application that can introduce AR-based experiences. AR is an immensely high technology, but it still has defects that are stopping the community from implementing it on a large scale. Nevertheless, it can change the way we look at the world. Marker-based AR provides a very immersive experience and closely mimics the real world; with this, user engagement with the user becomes easy. This technology demands high computational power and captures a sizable amount of memory. Android Studio was used to make the program, and we used the ARCore library as the AR rendering engine for our app. In our app, when we project the phone at an image, a video (AR scene) related to the image will be played, replacing the image in our application. A cloud database and internal storage store the augmented scenes and the corresponding images. Marker-based AR technology and image shadowing techniques achieve this. We used the historical image or scene as the anchor point marker. Designed an AR model that takes each frame from the camera feed, processes it, and finally renders the AR objects that will be projected into the scene. We tackled Augmented reality problems like light estimation, motion tracking, environmental understanding, and by fine-tuning the application. Through this implementation, people will be able to use it in tourist areas, and it has the potential to be better than a human guide.
Improved Audio Filtration using IIR Filter

There are five senses in a human being, one of which is hearing. Sometimes, a person might have problems by birth or tragically they have to go through a trauma which causes them to lose their hearing capability. A lot of people are currently having hearing impairment, but only one portion of them use hearing aids. It can become difficult to hear voices with high pitch for a person at hearing impaired. One of the main issues for humans is the hearing aids system and its main cause is noise. Digital hearing allows users to get required frequency depending upon their requirements. The implementation for this is done by using the MATLAB tool. The noise can be reduced by increasing the frequency so that it can be heard properly. Through the use of digital signal processing, one can improve the old conventional system for hearing to tackle hearing loss for further generations.
The Smart Analysis of Environmental Pollution Widespread in the Forest Areas using Analytical Discussion Based Deep Learning

To the extent that people experience the scientific and technological revolution, they do not try to understand its adverse effects. An example of this is the use of mobile phones. About 19 crore people are using connectivity in India the most. A natural environment is the antidote to pollution. As far it is concerned we can sustain 100 percent environmental management in all aspects naturally. Whether building a new house, applying for a squatter's license, or seeking admission in colleges, the government should make it compulsory to pass an exam on environmental awareness. Completion of this course is also required to purchase and renew any license. Awareness seminars and programs should be held for those who are polluting the environment. These ideas should come up with process plans suitable for joining the uneducated population
A Blockchain-Based Approach to Streamlining Land Registration using Hyperledger Fabric

A broker creates a connection between the buyer and seller under India's traditional land registration system. For instance, the broker would compile and gather all essential physical paperwork that serves as evidence of the transaction if someone wanted to buy or sell a piece of land. Brokers ensure that the land or property is registered with a legitimate government institution, where all the information is entered in a ledger, and that the full transaction is finalized after which, a sale is made between the two parties. Since anyone with the necessary access rights can readily view or change the papers in this situation, there is a chance that the important documents will be lost or tampered with, thereby endangering the tangible proof of ownership. The process is still largely physical with less digitization and as a result, this sort of system is slow, insecure, and unorganized. In this traditional method, the risk of corruption and fraud during the execution of the necessary transaction is also high. Hence, a new system has been proposed which uses smart contracts to handle transactions of assets among the participants in the network. It has been proposed to implement a permissioned blockchain-based land registration system on Hyperledger Fabric, which enables a decentralised, transparent, and secure way to conduct transactions between the parties. The old method has been examined and analysed while also considering that blockchain technology enables improved transparency, Integrity maintenance, and portability.
An Intelligent Estimation of Solar Photo-Voltaic Capacity Measurement Using Solar Machine Learning Model

Temperature has created vulnerable issues in and around critical RV systems. Even if it's not cost-effective or feasible to insulate your vehicle's walls, there are many inexpensive steps you can take to prepare for cold weather. Check your windows, doors, and seals for leaks or gaps anywhere. Replace. If your RV is motorized use heavy curtains on the windows to separate the cockpit and living quarters, as glass is no insulation from extreme temperatures. RV skirting is a very effective way to prevent air from drawing heat from inside your RV, and water tanks can freeze very quickly. In this paper, an intelligent estimation of solar photo-voltaic capacity measurement has proposed using solar machine learning model. To generate solar PV (photovoltaic) power, you will need to install solar panels on your property. Solar panels capture energy from the sun and convert it into electricity. You will also need an inverter to convert the power from DC to AC, and a battery to store the electricity. Once the system is installed, you will be able to use the electricity generated to power your home or business. You may also be eligible for government incentives such as net metering or tax credits to help offset the cost of the system.
The Improved Waves based Surface Energy Analysis using Frictional Force Determination Model

In general, semiconductors should be able to conduct electricity easily. It should have low resistance. Should have high tensile strength and should be flexible. Should be unaffected by environmental conditions. That is, it should not be affected by chemical effects in the air, or by exposure to sun, rain, etc. When the electricity passes through a conductor, the conductor heats up. Hence should have non-expansion by heat. They are divided into three types based on their ability to conduct electricity easily, giving less resistance to the flow of current. They are solid state conductors, liquid state conductors and gaseous state conductors. Soldering should be easy. It should be readily available at low cost. Metals such as silver, copper, brass, aluminum, tungsten, nichrome, zinc, and iron are all good conductors of electricity. These can be converted into thin wires and thin strips for electrical work.
An Improved Method for Calculating Residential Living Standards using Deep Learning

In general, it is no secret that each apartment has a special microclimate. This concept includes temperature conditions, light, humidity and many other parameters. All of them have a direct impact on people's quality of life. If any indicators are too high or, on the contrary, reduced, both your own health and the decoration of the apartment may suffer. Therefore, it is important to monitor your home and avoid such situations. Let's find out how the level of humidity in the apartment affects our lives and why it is so important to stay within the normal range. If the air is too humid, the body temperature is perceived differently. The process of heat transfer is disturbed, the body heats up at high temperatures, and at low temperatures it becomes super cooled. This phenomenon, combined with high room temperature, is especially dangerous for people with high blood pressure and cardiovascular diseases: it leads to dehydration and chemical imbalance, blood clotting, high blood pressure and an increase in chronic diseases of the heart and blood vessels. High humidity adversely affects the physical and mental functioning of a completely healthy person, because fatigue occurs very quickly in such conditions..
An Enhanced Genetic Algorithm for Solving Trajectory Planning of Autonomous Robots

Different tasks inside the environments call for different types of robots with various traits and designs. The research community appears to favour a number of robot classes in particular area for tackling complex challenges in demanding settings. Important cases of these deployments are examined, and it is determined that high-level autonomy is a crucial problem that has to be solved. It is necessary to drive autonomous mobile robots across the environment to map it, find themselves, and chart out routes between locations. Two crucial capabilities of an autonomous overtaking system are trajectory planning and trajectory tracking, and many approaches have been put forth in the literature for each of these functionalities. However, the majority of the offered approaches are only useful for low-speed overtaking due to ambiguities in environment perception when employing the current generation of sensors. This paper shows an upgraded version of Genetic Algorithm to find the shortest route between the source and destination. In this paper, an upgraded GA is proposed in static environments to solve path planning issues. Numerous studies have offered innovative methods that generate an ideal route using GA. Most of the strategies for generating infeasible pathways ignore the variable length chromosomes. The algorithm converges more quickly because it prevents premature convergence and provides viable pathways with higher fitness values than its parents. The suggested approach is implemented and contrasted in a variety of contexts to demonstrate its validity. The simulation findings demonstrate that, in comparison to previous approaches, utilizing GA with the enhanced operators and the fitness function aids in the discovery of optimal solutions. It is clear from the best optimal solution provided that the proposed UGA outperforms GA. In UGA the execution time is less (15.24s) than the GA that is (19.35s). The proposed model requires less iterations (3127) than the current method (6114), which reduces the total number of iterations. This in turn cuts down on the overall execution time.
A Statistical Approach for Women's In Environmental Knowledge using AI based Machine Learning Model

Materials used to conduct electricity from a liquid state are called liquid state conductors. They are mercury, sulfuric acid, nitric acid, nitrate etc. These types of conductors are used in plating tanks and batteries. Mercury is used in high power vapor lamps and automatic circuit breakers. Argon, helium, neon, nitrogen, etc. in gaseous state are gaseous state conductors. It is used as an electrical conductor at high temperature in Gas Discharge Lamps. An insulator is a material that does not conduct electricity. That is, it is called a material that does not conduct electricity through it. Its resistance is very high. It should have high electrical resistance and specific resistance. Di-electric strength should be high. And this should have good mechanical properties. Apart from that it should be high heat resistant. It should be heat resistant. It should have non-absorbing properties. The required design should have manufacturability. It should be non-flammable.
An Efficient SFLA and CUCKOO Search Hybridization for Source Distribution in Cloud Computing

Cloud calculating is a computing prototype that offers inexpensive, scalable computing resources like CPU, storage, and network bandwidth. It provides a pay-as-you-go model for gaining instantaneous online access to a shared pool of resources. This strategy is proposed to cut down on the required amount of computing time. In the most recent paper, authors employ a hybrid approach to resource allocation by combining two powerful optimization algorithms: the Shuffled Frog Leaping Algorithm (SFLA) and the Cuckoo Search (CS) Algorithm. With this algorithm, we can get around the computational time constraints of the HABCCS algorithm and the krill herd algorithm. It's easily scalable, so even niche uses can benefit. The SFLA has the potential to generate a global optimization solution and comes with the added benefits of faster convergence and simpler implementation. Algorithms from the field of computer science are used in difficult situations because of their advantageous simplicity in evaluation. The knapsack problems that normally crop up during the phase of allocating resources are also addressed. The efficacy of the third strategy is evaluated. The investigational consequences demonstrate the greater presentation of the projected method equated to the state-of-the-art methods.
IoT Preserving Patient-Centric Models for Privacy Preserving Based Personal Health Records Sharing in Cloud

The prevalence of cloud security has significant privacy-preserving problems due to humanity's need to protect sensitive and non-sensitive data for decision-making and resolve data leakage problems in the IoT environment. One of the most challenging aspects is the reuse and sharing of accurate and detailed clinical data about PHR collected via Personal Health Records (PHRs). Cloud transition is difficult. PHRs are often privacy-preserving patient-centric models for exchanging medical information outsourced to third parties, such as Cloud Service Providers (CSP). A unique PHR patient information to ensure security with encryption before storage in the cloud. But still, issues such as security issues, flexible access and proper user privacy risk management, and efficiency remain critical challenges to achieving better data access sensitive and non-sensitive imposition of control in cloud storage. To achieve high efficiency of PHR and modular data access control, Rail Fence Data Encryption (RFDE) algorithm is provided to encrypt the PHR file to make high privacy standards. RFDE is also a form of transposition cypher called zigzag encryption, and the unauthorized user can't access the information. The proposed algorithm encrypts the PHR information it generates the secret key. The receiver decrypts the PHR information using the private key. The proposed algorithm provides efficient performance compared with the previous algorithm.
An Enhanced Security Method for Monitoring Transaction Risks in Electronic Money Transfer Machines in India

generally, micro ATMs are point of sale devices. Running on low power, GPRS connects to banks' servers through a point-to-point system. This will reduce process costs. Micro ATMs help provide banking services to people in unbanked rural areas. These are mostly used in Aadhaar based payment systems. All three types of data sets - memory data, volatile data and static data - are vulnerable to threats from micro-ATMs. The memory details are from the card's records to the point of sale terminals through the point of interface. If an attacker has gained access to a point-of-sale terminal device, it is extremely difficult to protect against data theft. Generally, the memory records of the input data of point-of-sale devices are in clear words, making it easy for attackers to steal information. In this paper, An Enhanced Security Method has proposed for Monitoring Transaction Risks in Electronic Money Transfer Machines. To minimize this risk, card data should be locked in a suspicious manner. A terminal-to-terminallock method can be used for this. Also through skimming, credit/debit card numbers can be stolen from micro ATMs. Apart from this, details can also be leaked by fraudsters who introduce themselves as bank employees. The person will tell the customer to check the cards for damage. Or they can steal details by pretending to help a customer trying to make a transaction at an ATM and also to a person who is not familiar with ATMs.
An Improved System built on Artificial Intelligence for Sorting and Handling Plastic Materials

Plastics, which have taken an important place in our daily lives, are light, bendable and strong, while being affordable. Once an amazing material, plastic is now considered to be harmful to the environment and health due to its non-biodegradability. In our country, only 60–80 percent of plastic is extracted and recycled to make many plastic products. 20 - 40 percent of plastic is dumped into drains clogging indiscriminately; land filling clogs soil particles and prevents groundwater recharge from rainfall. It also affects the activities of microorganisms in the soil. Animals eat bags containing food items, causing harm to life. Also, plastic bags cause harm to human life due to the addition of toxic dyes and germs in the food products. Dioxins released during plastic recycling and burning cause infertility and cancer by breathing in the air. Therefore, the production of environmentally friendly, biodegradable plastics is now very important. Although partially biodegradable plastics are used, the development and use of fully biodegradable plastics is still in the early stages of entering the commercial world.
Research on the Application of Cross-Regional Sharing of Blockchain-Based Electronic Health Records

In the cross-domain field of IoT medical data, hospitals need to share patient medical records, and patients need to know the use of medical records in a timely manner. This paper proposed an electronic health record shared model to different regions based on blockchain. This model takes the Consortium Blockchain as the base, Internet technologies such as cloud and blockchain are used to collaboratively manage residents' electronic health record data. Based on the consortium blockchain, a cross-domain sharing method of electronic medical record data of regional hospitals is proposed by sharing and storing data through cloud chain collaboration. At the same time, an improved practical Byzantine fault-tolerant consensus algorithm is used to make block transactions reach consensus efficiently. Then, the attribute-based encryption technology was used to realize the searchability and sharing of data. Users encrypt the real data to the cloud server by setting attributes, and store the access policy and index in the blockchain to ensure the security of data. Finally, the experimental results and performance analysis of the proposed scheme are given, which prove the feasibility and efficiency of the model.
Privacy Preserving based Personal Health Records Sharing Using Rail Fence Data Encryption (RFDE) for Secure Cloud Environment

The prevalence cloud security has privacy preserving problems that major challenges due to humanity's need protect the sensitive and non-sensitive data to decision-making and resolve data leakage problems. One of the most difficult aspects is the reuse and sharing of accurate and detailed clinical data about PHR collected via Personal Health Records (PHRs) cloud transition is difficult. PHRs are often privacy preserving patient-centric models for exchanging medical information outsourced to third parties, such as Cloud Service Providers (CSP). A unique PHR patient information to ensure security with encryption before storage in the cloud. But still, issues such as security issues, flexible access and a valid user privacy risk management, efficiency and remain an important challenge to achieve better data access sensitive and non-sensitive imposition of control in cloud storage. To achieve high efficiency of PHR and modular data access control, Rail Fence Data Encryption (RFDE) algorithm provided to encrypt the PHR file to make high privacy standards. RFDE is also a form of transposition cipher called zigzag encryption, and the unauthorized user can't access the information. The proposed algorithm encrypts the PHR information it generates the secret key. The receiver decrypts the PHR information using the private key. The proposed algorithm provide efficient performance compared with previous algorithm.
The Blockchain based Microbial Pollution Identification Model for the Large River Environment in India

In the chronology of the age of the world, compared to other species, the human race is a creeping spring. However, the human race has acquired the power to move mountains, Move Rivers, penetrate living cells and transform them due to their super-intelligence. This same creative knowledge also indirectly propagates many influences through the milk of biodiversity. Plants cannot live in this flower world today. Birds cannot survive today. Animals cannot live with humans today. Why, microbial species are still unsustainable for humans. But if the human species does not exist in this world, other forms of life can certainly live - not just live, but very happily. Therefore, the human race is not an essential part of this world. Mankind is a thread in nature's spider web. This thread cannot stand alone. If separated, it will flyaway like a sponge.
A Smart Monitoring of Environmental Pollution using Internet of Things Model

The increasing environmental pollution around the world has made everyone concerned. Rapid growth and industrialization have only exacerbated this problem. Fossil fuels like coal and oil contain high amounts of carbon. When these fuels are burned, carbon-dioxide is released in large quantities. Carbon trading is like any other market trading. Because carbon is given an economic value, it is traded by individuals and companies or countries. When a company buys carbon it gets the right to burn it. Similarly, when a country sells carbon credit, it gives up the right to burn it. The value of carbon is based on the ability of the country holding it to store it and keep it out of the atmosphere.