Reviewerly/exHarmony huggingface dataset:
Cosmomicrophysical Thinking

When creating modern AI systems, thinking is usually associated with the human brain and its neurons. Less often, the matter concerns free will, instincts, and feelings, i.e., the connection of other human existence aspectsto thinking. The neurons of the human brain consist of atoms. Therefore, the process of thinking depends on various cosmic and quantum fields.
Examination of Skin Cancer Images using Wavelet De-noising

The objective of this paper is de-noising of melanoma images using wavelets because, dermatoscopy images are corrupted by noise, which leads to fault diagnosis. Hence de-noising is essential in melanoma skin cancer image to remove the salt and pepper noise(impulse noise) by preserving the melanoma image original information. The wavelet thresholding techniques are used in this paper to de-noise the melanoma image and improved the quality of an image. Wavelet de-noising algorithm has been developed employing soft and hard thresholding techniques. It works on Daubechies, Symlet, biorthogonal wavelets at decomposition level5. Image objective performance metrics like peak signal to noise ratio, mean square error and statistical performance metrics like mean, median, standard deviation, L1 norm, L2 norm are observed and analyzed for melanoma images
Police CrimeStat

This project aimed to automate the manual entry of the incident reports of the Philippine National Police. The system is projected to provide effective monitoring and updated statistical reports that will be used for decision-making processes. All police stations within the designated area will have an installed application that is centralized nationwide. Thus, data analysis would be easier and useful for law enforcement agencies for long-term crime bust programs. The system has the following specific objectives: first is to provide easier access to blotter reports, to improve decision making with interactive maps, to promote information sharing, and lastly, to offer statistical information of incidents. Evaluation of incident reports by an authorized officer is necessary before encoding them into the system. The data that the system needs includes the following: complainant and suspect's name(s), case details, and the type of offense. Inputted incident reports can be seen by the central office and other police stations; however, data manipulation is accessed only in the central office. The system can search and display case details in a printable format based on the user's specified query. By utilizing the Google map application program interface (API), the user can quickly locate and see the crime's exact location. This particular feature is challenging because there is a need to structure a detailed data mining design to promptly generate reliable reports. Once data are encoded in the system, the central office can create reports according to their needs. The system development started with data gathering by interviewing the Non-Uniform Personnel of Murcia Police station and performed the requirements analysis for the system.
Visualization

Visualization is used when the goal is to augment human capabilities in situations where the problem is sufficiently well defined for a computer to handle algorithmically. Visualization can be used to generate new hypotheses when exploring a completely unfamiliar dataset, to confirm existing hypotheses in a partially understood dataset, or to present information about a known dataset to another audience. If the visualization system needs to deliver interactive response, then it must use algorithms that can run in a fraction of a second rather than minutes or hours. In a human-centered design approach, the visualization designer works with a group of target users over time. Problems from very different domains can map to the same visualization abstraction. Automatically detecting features of interest to explicitly bring to the user's attention via the visual encoding is a useful goal for the visualization designer.
The Relationship between Environmental Materials and Indonesian Language Learning

The environment is a combination of physical conditions that include the state of natural resources such as land, water, solar energy, minerals, and flora and fauna that grow on land and in the oceans, with institutions that include human creation such as decisions on how to use the physical environment. The relation or relationship between environmental material in Indonesian language learning is that there is material that contains the surrounding environment making it easier for students to understand the text or material provided because they only need to understand what is around them and also with this environmental material it is expected to add the awareness of students in protecting their nature so that it can be used in the long term life of the future generations to come.
Background Modeling and Elimination Using Differential Block-Based Quantized Histogram (D-BBQH)

The proposedMaity, Satyabrata work uses differentialGhosh, Nimisha block-basedMaity, Sayantan quantizedSaha, Sayantan histogram (DBBQH) feature extraction technique to background modeling and elimination for foreground extraction. $$D-BBQH$$ uses a statistical approach to estimate the temporal consistency of pixel intensity concerning location. Besides, the block-based technique is less noise prone than the same of pixel-based processing and includes local features to estimate the background more efficiently than that of global processing. The proposed approach used a low-dimensional feature set, which requires less amount of time for background modeling or foreground extraction. A benchmark SBMI dataset, which incorporates complex video data, is used to complete the experimentation of the proposed approach, and the results prove the effectiveness of the proposed approach.
Design and Development of an Autonomous Pilot Drone for Security and Rescue Assistance

The proposed project is to design an Autonomous Pilot Drone to assist the police or rescue team or an ambulance in order to rescue the casualties during accidents or in emergency situations and to monitor the area during that incident. There are many commercially available drone platforms, but all of them require manual interaction through a remote controller. This resulted in building an Autonomous Pilot Drone for Security and Rescue Assistance. In the proposed system the drone is a design using an autonomous guiding system with GPS technology. Such drones can fly and hover with programmed input from the on-board computer. Several unexpected issues made to sort out problems like slight weight imbalance, noisy sensor data, error in PID tuning and problem occurred when the battery gets voltage droplet. To fly such drone in autonomous mode, obstacle avoiding sensor is used to avoid accidents. The results are presented and discussed to demonstrate the technical feasibility of the proposed drone through Mission planning software and hardware result
Applications Of Blockchain Technology In Smart City Development

In 2016, India launched the smart cities mission. The objective of this mission is to developed cities by using ‘Smart’ solutions that provide core infrastructure and give citizens a decent quality of life, a clean and sustainable environment. The focus is on sustainable and inclusive development. To achieve this it uses the technology to integrate and manage the infrastructures to provide better services and ensure efficient and optimal utilisation of available resources. Incorporation of new technologies for the development of smart cities gives the new ways of rethinking different services. In this paper, we are going study the applications of blockchain technology in smart city development
A STUDY ON JOB SATISFACTION WITH REFERENCE TO TRANSPORT EMPLOYEES IN TIRUVARUR DISTRICT.

01Apr 2019 A STUDY ON JOB SATISFACTION WITH REFERENCE TO TRANSPORT EMPLOYEES IN TIRUVARUR DISTRICT. Nagendra HM and P.Asokan. Research Scholar, Department of Commerce, Bharathiar University, Coimbatore. Associate Professor, Department of Commerce, Thiru.Vi.Ka.Govt.Arts College,Tiruvarur.
Fuzzy Logic in Student’s Achievement

The productiveness of teaching students in universities is important to evaluate for declaring the results of their work. Their learning mainly depends on such factors as attendance, productiveness of learning, the material-technical base of the university and etc. Generally, when one interesting to assess the dependencies of these factors, an inventory of all elements is usually carried out, and management is advised to make a certain decision. But the influence of factors on student learning is not carried out. This paper aims to present an assessment of this student learning ability using system fuzzy logic. In this investigation discussed a procedure that can be used to assess students' performance and learning ability. This process is completely based on the principle of obtaining fuzzy sets about factors affecting learning: class attendance, learning efficiency and infrastructure instruction environment, which are objects of fuzzy arithmetic and allows one to get crisp values of performance results. In the paper is applied the fuzzy set method, which is used for further analysis with additional factors affecting student learning.
Classification of breast cancer types based on deep learning approach

Breast cancer is one of the most serious diseases that affect women, so it must be discovered in the early stages to avoid complications such as redness of the skin, pain in the armpits or breast, and discharge from a nipple, possibly containing blood. Recently, the CAD system that is based on the classification of microscopic image play a vital rule to limit cancer disease and reduce cases. Microscopic image is the currently recommended image system used to detect cancer. A computer-aided diagnosis system will help radiologists to accurately detection of cancerous cells and achieve the best result. This paper proposes a deep learning technique that exploits CAD system features and microscopic images to fight breast cancer. The proposed technique builds a classification model based on the DenseNet-161 deep learning method. The proposed model classifies the microscopic images of breast cancer into benign with four types and malignant with four types. Our proposed technique is experimentally tested and the result confirmed that a proposed technique outperforms baseline techniques.
FPGA Implementation of Encryption and Decryption of a Message using Optimized Reconfigurable Reversible Gate

The prime incentive to learn reversible computation is that it is the best efficient way to reduce heat dissipation than any other conventional methods. The major condition for reversibility is that there is a one-to-one connection between each input and output vectors and it has received a huge significance because of there no information loss throughout the reversible computation which results in reduces the power dissipation. Here, we proposed the design of encryption/decryption of the data schemes by using reversible computing. In this regard, a basic building block is designed for encryption design is simply cascading of a 4-bit reversible gates and it is performed every 4-variable reversible functions, for this intention a new reconfigurable reversible gate (RRG) is proposed and is designed with the use of basic reversible gates like NOT gate, CNOT gate, Toffoli gate, and Fredkin gates. In this work, the encryption/decryption of an 8-bit data is proposed and the Simulation results of encryption/decryption of the circuits using reversible gates are also presented. The gate count, delay, constant inputs, and the garbage outputs are calculated. The complete Simulation and the synthesis process can be finished with the Xilinx ISE 14.7 version and it is dumped on the FPGA Zynq board.
An Access Control Model for the Internet of Things Based on Zero-Knowledge Token and Blockchain

Abstract Information security has become the focus problem in the Internet of Things, and the traditional centralized access control model is faced with threats such as single point failure, internal attack, and central leak. In this paper, we proposed a model to improve the access control security of the Internet of Things, which is based on zero-knowledge proof and smart contract technology in the blockchain. Firstly, we deployed the attribute information of access control in the blockchain, which relieves the pressure and credibility problem brought by the third-party information concentration; Secondly, the encrypted access control token is used to gain the access permission of the resources, which makes the user's identity invisible and effectively avoids the attribute ownership exposure problem; Besides, the use of smart contracts solves the problem of low computing efficiency of Internet of Things devices and the waste of blockchain computing power resources; Finally, a prototype of Internet of Things access control system based on blockchain and zero-knowledge proof technology is implemented. The test analysis results show that the model achieves effective attribute privacy protection, compared with the Attribute-Based Access Control model of the same security level, the access efficiency increases linearly with the increase of access scale.
Currency Recognition for Blind

In this paper, we proposed a system for automated currency recognition using image processing techniques.The method proposed in this system can be used for recognizing both the country origin and denomination or value of a given currency note.Only paper currencies have been taken here.The proposed method will first work by identifying the country of origin using certain predefined areas of interest and then extracting features using characteristics such as size, color, or text on the note to find the denomination of the notes.Feature extraction depends on how much the notes within the same country differ.The output will be given in graphical user interface format and also in audio format.Our system is able to identify the test notes quickly and accurately.
Telescopic Listening

In contemporary music, the ethos of experimentation and newness is constantly confronted with a strong historical presence. The historical residue in the apparatus of production and dissemination can be found in the instrumentation, institutions and formats of performance. Certain periods in time, like that of post-war modernism tried to eviscerate that residue, other periods have seen a keen interest in evoking history, for a variety of reasons. Eivind Buene’s ongoing project Schubert Lounge probes notions of historicity in an explicit way, taking songs of Franz Schubert as a starting point for the investigation. The work challenges the idea of authenticity in musical performance through applying methodologies from one layer in time to materials from a different historical moment. In the project he tries to create a multi-layered experience through a process of ‘telescopic listening’, as different modes of interpretation and creation is brought into conflict in a staged work for singers, ensemble and turntable with recorded sound.
PSYCHOLOGICAL ANALYSIS OF METHODS OF DESIGNING AND ORGANIZING SPACE OF PLAY CREATIVITY OF TEENS

In the article the problem of game creativity of teenagers and the relation to this creativity of the adults working with teenagers as one of the most important socio-cultural and psychology and pedagogical factors of socialization is considered. Methodologies of school of dialogue of cultures and situational role-playing game as focused on the support of the teenage game creativity and questions connected with that role which is played by the adult in the design and the organization of effective communicative space for the creation of amateur role-playing game by teenagers in the conditions of modern social transformations are analyzed.
Systematic and Meaningful Keyword Finding Over Encipher Data in Steam

Cloud computer has actually created a great deal of interest within the evaluation area over the last few years for its several blessings, nevertheless has but also raise security and also privacy concerns. The storage and gain access to of personal documents are recognized collectively of the main problems within the area. particularly, numerous scientists explored services to examine encrypted records continue remote cloud web servers. whereas numerous schemes are planned to perform conjunctive key words search, much less interest has been kept in mind on extra specialist keeping an eye out methods. throughout this paper, we tend to gift an expression search strategy supported Blossom filters that's significantly quicker than existing options, with comparable or higher storage as well as interaction cost. Our technique makes use of a series of n-gram filters to support the practicality. The style exhibits a trade-off between storage space and also false positive rate and also is filmable to resist inclusion-relation attacks. A design method sustained associate application's target incorrect positive price is additionally stood for.
Sistem Pakar Diagnosa Penyakit Gouty Arthritis dengan Menggunakan Metoda Forward Chaining

Gouty arthritis or gout is a type of joint disease that occurs due to uric acid levels that are too high in the blood. Under normal conditions, uric acid dissolves in the blood and passes through the urine. But under certain conditions, the body can produce uric acid in excessive amounts or experience a disruption in removing excess uric acid, so that uric acid accumulates in the body. Following this, a system is created that is able to provide patients with information like Gout by using methods forward chaining. This system is built using research and development methods that point to output in the form of expert system applications with the reading of the data carried out in forward chaining.
The effect of the work culture, self learning and innovation to lecture’s task performance in polytechnic of health

This study aimed at determining the effect of work Culture, self Learning and Innovation to lecture's task performance.It was a quantitative research approach using survey method and techniques of path analysis.The research sample was taken using the Proportionate Stratified Random Sampling technique as well as by questionnaires.The Processing of data was by Test Validity/Reliability used measurement model Pearson Product Moment.Normality/Linearity Test used Chi squared measurement model and Correlation Regression data processing used equation technique.The results of the study showed that both independent and dependent variables wewre in the sufficient category.Partially, Work Culture, Self Learning and Innovation proved to have a significant influence on the performance of Jakarta III Ministry of Health polytechnic task performance.The results of the study also showed that the independent variables simultaneously (together) have a significant influence on the performance of the lecturers' assignments.The higher the Work Culture, Self Learning and Innovation, the higher the effect on the performance of.Improving lecturer task performance requires an increase in Work Culture, Self Learning and Innovation that is synergistic and significant through a series of efforts and leadership policies.
The Relation of Scientific Literacy Competencies and Musical Intelligence

The goal of this research is to gain the relation of scientific literacy competencies and musical intelligence.
Define the Factors Affecting the Shift to Cloud Computing in Malaysian Universities

Cloud computing is the way to increase capacity without vital investment in new infrastructure, training new personnel, or licensing new software [1]. As higher educational sectors are under growing pressure, and to provide more for quality education [2] in the current financial crisis and the increasing need, universities can utilize the potential benefits of cloud computing to provide improved services with few resources [3].This paper presents a comprehensive study on the obstacles and advantages in cloud computing which affected at shifting to cloud computing services in Malaysian universities, and comparison of this present research results with the previous studies.
Research Asset Creation (RAC) Model for PhD Awarding Universities in India

Importance of higher education and research is becoming more prominent and admission for PhD is increasing year by year in India. Most of the time Research done as part of PhD ends with the submission and acceptance of thesis in Universities. This research future work or extension work might be picked by other PhD candidate in the same or from the different Universities but not sure when it will happen. Also not sure the research completed has achieved its end objective and University is fine to stop that research after spending so much of time and resources of University. This paper insists on continuous research with PhD candidates every year in Universities until the completion of research and scope for reducing the waste of resources and time. This paper considers the importance and effectiveness of Indexing parameters, Indexing agencies, review methods, Journals and relevant concepts. Considering the usefulness and facts of the same to research community building a standard process with procedures to control quality, performance and original research in place, I have built a Research Asset Creation (RAC) model for universities offering PhDs in India by making use of University level Indexing, Indexing parameters, Inter and Intra University peer review methods and University Journal as magazine and as well as Indexing agency. Research cannot be considered just for the award of degree. There is a need for making use of research, resources of University and time spent on research till the objective of the research is accomplished. This can be accomplished by adopting Research Asset Creation model. Complete details of the model, components of the model, implementation, its benefits and usage is discussed in this paper. This is a generalized Model and fit for all Countries which are looking for effective use of research and resources in a progressive manner.
Augmented Reality Pada Metamorfosis Lebah (APIS SP.) Sebagai Media Pembelajaran

Augmented Reality is actually not something foreign to the general public, it's just that they don't know what Augmented Reality itself means, Augmented Reality cards can generally be found in some snacks, which the cards can be scanned through a special application available on the Playstore. However, currently researchers are making Augmented Reality for learning, in this case researchers are using bee metamorphosis, so learning becomes more interesting. This study aims to describe the feasibility of Augmented Reality media for bee metamorphosis and to determine student responses to the attractiveness of Augmented Reality media for bee metamorphosis. The development model used is the ADDIE model which includes: Analysis, Design, Development, Implementation and Evaluation. Products are validated by one media expert and one material expert. The attractiveness test was carried out on 5 students of MTs Al-Ihsan Kalijaring Jombang. Data obtained from media experts, namely 80% with proper qualifications, criteria from material experts, namely 88% with very decent qualifications, while from the data students get a score of 88.75% with qualifications strongly attractiveness. The results of the assessment of media experts, material experts and student responses show that the bee metamorphosis Augmented Reality can be used as a learning media.&#x0D;