Reviewerly/exHarmony huggingface dataset:
Structural control and tectonic environment of the Cenozoic giant Kadjaran porphyry Cu-Mo and epithermal system, southern Armenia, Lesser Caucasus

In this contribution, we focus on the Oligocene to Miocene structural evolution of the giant Kadjaran porphyry Cu-Mo deposit and its epithermal overprint. This evolution was controlled by long-lived regional faults during the Cenozoic tectonic and magmatic evolution of the Meghri-Ordubad composite pluton located in the southernmost Lesser Caucasus. We discuss the ore-bearing fracture network characteristics related with the deposit-scale ore-controlling structures in the frame of regional strike-slip faults. Stereonets summarizing the orientations of different generations of mineralized veins allow us to constrain the favorable fracture network environment for ore-formation at the giant Kadjaran deposit. During the middle - late Oligocene, NNE-oriented shortening created the major ~N-S- and NE-oriented steeply dipping ore-controlling deposit-scale faults under dextral strike-slip tectonics. The gently to moderately dipping NE-, ~N-S- and ~E-W-oriented fracture networks along the steeply dipping deposit-scale faults were the most important structural control for the emplacement of the main porphyry stockwork mineralization. These deposit-scale ore-controlling faults were reactivated during the early Miocene under WNW-oriented shortening and NNE-oriented extension. The progressive anticlockwise rotation of paleostress orientations from middle - late Oligocene to early Miocene was linked to re-organization of tectonic plates during Arabia-Eurasia collision.
Rounding Multiplier to Improve the efficiency using Brent Kung Adder

In this paper, we propose an approximate multiplier to improve the efficiency over the traditional approximate multiplier, which is commonly based on rounding technique. In general, the approximate multipliers are used to achieve high performance with a huge trade-off in accuracy. The Brent-Kung adder, which is a pruned version of Kogge-Stone adder has a better accuracy trade-off. The proposed approximate multiplier, which uses the Brent-Kung adder shows better performances in terms of area, power consumption and speed than the Kogge-Stone based rounding approximate multiplier. The designed multipliers have been simulated using Cadence Encounter(R) RTL compiler with 180nm technology.The proposed multiplier based on gate pruning achieves power savings of 12% and speed to improved 74% compared to kogge stone based rounding multiplier. The proposed multiplier will be applied for real-time application in future.
Wheelchair Control using Eye Blinking

Locomotion is one of the basic needs of humans which people having limited abilities do not have. This renders them to rely on the use of wheelchair for moving from one place to another. For handicapped people human found a wheel chair which can be moved by using hands for those who don't have legs. But the people who don't have legs as well as hands cannot move their wheel chair self. They need some other person to move their wheel chair. But sometimes such person faces so many problems if they didn't get any person to move their wheel chair. The purpose of this project is to allow these people to move by automating the process of moving in any direction using just an Blink of an Eye. The process is very easy, as the disabled person who cannot move from place, has to just sit on wheelchair and blink his eye. As the camera detects the eye blink the wheelchair will start to move in desired direction. . Different types of Eye blink can be done to move in various direction.
ENTRON-A Hand Gesture Operated Unmanned Battlefield Bot

ENtron is a smart robotic car that almost tries to replace a spy agent from battlefield. It is a multifunctional car that can be operated by hand gesture or remote .Features like anti-collision, shoot at sight, speed control, suspension; location tracking makes the operation of car highly effective. It has various sensors which can transmit the useful information like temperature, humidity, soil and moisture condition to the service station It has sliding sharp cutters which makes clear path when required. It has various application in different areas like security, military, space exploration and working in hazardous environment etc. In this project aurdino ATMEGA 2560 and UNO 328 is used. The code is written in arduino microcontroller with the help of software arduino. ENtron is specially designed for border security purpose. This unmanned vehicle can be used for both civilian and military applications to perform a variety of activities which are dangerous for humans to perform. Till date no such vehicle is designed which can replace humans on war front or for spying on our borders.I.
A beyond mean-field study of the Tavis-Cummings model

A beyond mean-field study of the Tavis-Cummings (TC) model is developed. This is the simplest model for describing the interaction of a radiation field with a system composed by an array of two-level atoms. The first correction to the mean-field ground state energy and the energy gap between the ground and the first excited states are computed. For the ground-state energy our result improves the mean-field calculation, as expected. For the gap, that cannot be calculated at mean-field level, a drop down to zero is obtained at the critical point where the system undergoes a second-order quantum phase transition.
Cache optimization cloud scheduling (COCS) algorithm based on last level caches

&lt;p&gt;&lt;span&gt;Recently, the utilization of cloud services like storage, various software, networking resources has extremely enhanced due to widespread demand of these cloud services all over the world. On the other hand, it requires huge amount of storage and resource management to accurately cope up with ever-increasing demand. The high demand of these cloud services can lead to high amount of energy consumption in these cloud centers. Therefore, to eliminate these drawbacks and improve energy consumption and storage enhancement in real time for cloud computing devices, we have presented Cache Optimization Cloud Scheduling (COCS) Algorithm Based on Last Level Caches to ensure high cache memory Optimization and to enhance the processing speed of I/O subsystem in a cloud computing environment which rely upon Dynamic Voltage and Frequency Scaling (DVFS). The proposed COCS technique helps to reduce last level cache failures and the latencies of average memory in cloud computing multi-processor devices. This proposed COCS technique provides an efficient mathematical modelling to minimize energy consumption. We have tested our experiment on Cybershake scientific dataset and the experimental results are compared with different conventional techniques in terms of time taken to accomplish task, power consumed in the VMs and average power required to handle tasks.&lt;/span&gt;&lt;/p&gt;
PERANCANGAN APLIKASI PERHITUNGAN HARGA POKOK PRODUKSI DENGAN METODE JOB ORDER COSTING PADA MEUDANG PERKASA FURNITURE

The purpose of this research is to find out how the system of calculating the cost of goods manufactured that are currently running at Meudang Perkasa Furniture. This company is still calculating the cost of goods manufactured manually, which can lead to errors in the determination of costs incurred to produce goods. In addition, because the process is done manually, the calculation process takes a long time. This study aims to design an application that can help users to know the cost of goods manufactured quickly and precisely. The system designed in this study uses Microsoft Access. This study uses descriptive qualitative method, data collection techniques was done by conducting interviews, observations, and literature studies carried out directly with the owner of the company. This study resulted in a Cost of Goods Manufactured Application that would ease future corporate activities.
Perancangan Game Virus Survivor Untuk Pendidikan Kesehatan Dengan Metode Game Development Life Cycle

In urban areas found there are dirty so that the virus can develop and produce disease. To cope with the disease, an immune or immune system is needed. One prevention against viruses is by treatment in pill or other forms. Education about health about viruses is very much needed by the community, especially early childhood so that education can be interesting and interactive so it is made in the form of educational games. The purpose of this study is to provide health education to users to care about health, remind users of the importance of maintaining the health of viruses or microbes or the like where prevention is better than cure, avoiding dirty or dirty places, giving knowledge about places that are often occupied by viruses, and care about the environment by maintaining environmental cleanliness. The method used in this study is The Games Development Life Cycle. Buildbox is one of the tools used in making games that are user-friendly or easy to use. The virus survivor game explains about virus specialists who are required to pass dirty places in the city by avoiding viruses and obstacles that lead to the laboratory to make drugs in the form of pills to make the body become immune to the virus. The doctor must also collect coins in the form of DNA to open new characters to make them stronger. Power up to fight the virus in the form of an immune pill to make it immune to viruses, magnetic DNA pills to make it easier to get coins, and pills to eradicate the virus. The conclusion in this study is that the virus survivor game is an educational game to improve public health knowledge, especially early childhood so that the body is expected to have immunity to disease viruses.
Importance of Machine Learning in the Growth of Twitter

Twitter is a widely used platform by millions of user to express their opinions, suggestions and feelings on different occasions, which is becoming popular from the past decades. To process and analyse the data from Twitter, called tweets, analysis methods such as sentiment analysis and topic modelling are used. There is a different format of the tweets, that is, it is of limited words which produces new problems like use of slang, abbreviations etc. This paper contributes to this analysis.Firstly, we will apply pre-processing steps to the tweets to extract features from it.Then, a machine learning based approach is proposed to estimate the sentiments of a tweet.This method is required to extract topics from the training dataset, and train models for each of those topics.This method allows to increase the accuracy of the sentiment estimation as compared to a single model for every topic.
Gold and Platinum Group Minerals (PGM) from the Placers of Northwest Kuznetsk Alatau (NWKA) (South Siberia, Russia)

Native gold and PGM from NW Kuznetsk Alatau (NWKA) (South Siberia, Russia) have been investigated. Applying the complex of advanced analytical, geo-chemical, and statistical techniques permits determination of motherlode types of noble mineralization (NM). For gold, it is mineralization of three types: 1 – the gold-sulfide-quartz type associated with dykes of the basic composition and fault-line zones (2), as well as the gold-skarn type (3). For PGM it is mineralization of the Ural-Alaskan (1) and the ophiolitic (2) types, as well as multicomponent alloys associated with layered intrusions (3). The presence of rims and inclusions is indicative of postmagmatic transformations of the minerals. In the meantime, Au and PGM from NW Kuznetsk Alatau placers retain genetic traits of motherlodes.
Sebuah Perancangan Sistem Informasi Pemasaran dan Penjualan Lukisan pada Polesan Art Galeri

Abstract— This research was conducted to design a web-based painting sales information system design in an art gallery. The research method used in this study uses descriptive methods, namely by explaining the phenomena that occur from data collected through observation and interviews. And using a structured approach method and for system development using the waterfall method. The results of this study are website-based painting sales application designs in art galleries. Currently the painting marketing process is still limited to certain areas, which makes it difficult to increase the sales volume of paintings when tourists visit a little, and consumers are required to come directly to the gallery to make transactions so consumers who don't have time to buy paintings in art galleries. Thus to improve the marketing process and make it easier for consumers to buy paintings anytime and anywhere, then design web-based marketing and sales information systems. The design of this marketing and sales information system aims to improve marketing by disseminating information about products to be sold and providing services to consumers to make purchases that can be done anywhere and ultimately will provide maximum service which will ultimately increase revenue from art galleries. polished.
Revolution Tracking Android for Portable Devices and Aerial Optimization

Getting older in people makes them susceptible to slipping and this has become a problem today of universal human physique. Everyday living behavior for the elderly and disabled is a serious public health concern and an aging society. When trying to deal with the research of aging society, the fall is overestimated. Another study revealed that more than one-third of the population over 65 years of age falls at least once per year. Android Smartphone will transmit the slipping signal in this system.Mobile Android apps often have access to personal user device data and resources. Misuse of this data by malicious applications can lead to infringements of privacy and leakage of confidential data. A case in point would be a vindictive application recording a confidential business conversation surreptitious.The contextualization delineates inside the same destination be this paper intently situated sub-locations. We altered the Android operating system to stipulate and enact contextcentered authentication restrictions. We have undertaken many simulations to analyze the energy efficiency for access control and the reliability of context tracking.
Mengidentifikasi Tanaman Beracun pada Pola Daun dengan Jaringan Syaraf Tiruan Learning Vector Quantification

Technology nowadays is starting to go very fast, so that all people can use it. Toxic plants are very dangerous if consumed. Therefore to avoid undesirable events, an introduction to the community is needed to find out which plants are poisonous. Plants have many different types to recognize poisonous plants can be seen from the recognition of leaf patterns in these plants. For this reason, in order to determine the use of Learning Vector Quantification artificial neural networks. In this study, the use of input photos obtained from the camera. Photos will be processed later to extract the characteristics. Next, the process of pattern recognition can get the features in the photo. So that later it gets its characteristics. then the classification process uses the Learning Vector Quantification artificial neural network method. This research was conducted to be able to distinguish poisonous plants from those that are not. Which later the data is collected for grouping in accordance with the same data, so that information can be set about the plant.
WHAT GIVES A SYSTEM APPROACH TO PHYSICS.

It is shown that the emergence of problems in various areas of theoretical physics is systemic in nature and is associated with a violation of the dialectical principle of the opposite orientation of processes in different parts of isolated systems.The fundamental role of this principle is revealed in the system approach adopted as the standard of scientific research.It is shown that the simplification of the study by splitting the object of study into homogeneous parts is inevitably associated with the loss of system-forming bonds and properties that ensure their functioning as a system.Parameters reflecting such properties and characterizing the intensity of the nonequilibrium state are proposed.Using the example of a number of sections of science, it is shown how the consideration of internal relations gives the system under investigation of new properties and radically changes the results of the study.Copy Right, IJAR, 2019,.
Mediation Effect of Motivation on Learning Achievement

The level of education of parents is a major factor for students’ learning achievement. In addition to education, parents' socioeconomic status, learning environment and learning facilities also affect students learning if these factors are mediated by students’ learning motivation. This study aims to analyze and evaluate the effect of education, socioeconomic status, learning environment, and learning facilities on students’ learning achievement viewed from direct and indirect effects by the mediation of learning motivation. The research used explanatory research type involving samples from grade XI students of State Senior High Schools in the City of Jember in the academic year 2017/2018 in a total of 206 respondents. The study applied primary data collected by questionnaires, in addition to observation and documentation. The analytical tool used was path analysis to determine the direct and indirect effects. The results of the study showed that parents’ education, socioeconomic status, learning environment, learning environment and learning facilities directly affect learning motivation. Meanwhile, education, socioeconomic status, learning environment, learning facilities and learning motivation directly affect students’ learning achievement. Learning motivation mediates the effect of education, socioeconomic status, learning environment, and learning facilities on students’ achievement.
An Ontological Model for Generating Complete, Form-based, Business Web Applications

This paper presents an ontological model for specifying and automatically generating complete business Web applications.First, a modular and expandable ontological model for specifying form-based, business Web applications is developed and presented.Next, the technology used for transforming the ontological specification to Java executable code is explained.Finally, the results of applying the proposed model for specifying and generating an order management application are presented.Results showed that the application of an ontological model in a generative programming approach increases the level of abstraction.This approach is especially suitable for development of software families, where similar features are reused in multiple products/applications.
A Systematic Review on Cloud Computing and its Security Issues

Over last decade internet is grown rapidly.Today we are in the era of cloud computing.Cloud computing is just not a concept it is a service delivered from huge datacenters which are called clouds.Example of these services is storage, resources, networking and many more.Some big corporate cloud service providers are Microsoft Azure, Amazon, Web services and Google cloud.Now day's concept of cloud is very popular in IT as well as in research fields.In this paper concept of cloud computing will be discussed in detail along with various issues.Issues will comprise security and privacy concerns.Security and privacy issues are highlighted in above section because security concern is the main problem in adoption of cloud usage.Consumer is sharing his confidential data and also using resources where he may share his company's information.So assurance of security is very essential to all consumers who are going to adapt cloud services.Also characteristics of cloud computing are detailed discussed here because to enable the availability of scalable IT resources is driven by defining characteristics.Further architecture of Cloud computing will be discussed which will help us in getting the conceptual framework of cloud computing.
A novel aspherical surface measurement system based on a randomly encoded hybrid grating wavefront sensor

A novel aspherical surface measurement system based on randomly encoded hybrid grating (REHG) wavefront sensor is proposed. The system utilizes a non-null testing compensation lens to partially compensate the normal aberration of aspheric surface under test, which is more general than the null testing system. Different from the conventional interferometers, the REHG wavefront sensor exhibits strong anti-vibration ability and larger dynamic range due to its common path and self-reference characteristics, and is especially suitable for the measurement of aspherical surface. In this paper, a simulation model combing quadriwave lateral shearing interferometry based on the REHG and non-null aspheric testing technology is established. The generation mechanism of retrace error is analyzed. The iterative reverse optimization (IRO) retrace error correction method based on system modeling is discussed. Computer modeling is performed based on the actual experiment configuration, and an optimization function is set with polynomial coefficients of aspherics under test as variables. Through the reverse optimization with iterative ray tracing, the retrieved wavefront of the REHG sensor in the actual experiment system and the simulated wavefront in the system model will meet the constraint condition, and the figure error of aspheric surface can be then reconstructed by the optimal solution of polynomial coefficients in the model. The feasibility and accuracy of the aspherical surface non-null measurement system based on the REHG wavefront sensor are demonstrated by the simulation experiment result with different asphericities.
Dynamic Background Modeling and Subtraction using Modified Space and time Local Binary Pattern

Conventional background modeling and subtraction techniques have a hypothesis that the views are not of dynamic edifices with restricted disorder. These procedures will perform inadequately in dynamic scenes. In this paper, we present a resolution to this difficulty. We first extend the local binary patterns from the space domain to the spatiotemporal domain and give a distinct dynamic texture extraction operator, named modified spatiotemporal local binary patterns (Modified Space and Time Local Binary Pattern). We present an innovative and practical method for dynamic background modeling and subtraction using Modified Space and Time Local Binary Pattern. In this proposed method, each pixel is represented as a group of Space and Time Local Binary Pattern to dynamic texture histograms which connect spatial texture and temporal motion knowledge together. The histograms collected are processed to get normalized histogram which is the inadequacy of existing Space and time local binary pattern method. Compared with traditional methods, empirical results show that this method accommodates swiftly to the changes in the dynamic background. It gets correct detection of moving objects and succeeds most of the false detections for dynamic changes of natural scenes.