Reviewerly/exHarmony huggingface dataset:
STE-AMM: Secret Twist Encryption Standard Access Mechanism Model in Cloud Environment

The advent of the cloud computing has provided the opportunity for various organizations and enterprises to store the data effectively at low cost. With the advancement, the cloud environment manages to have mutli-users to access the data in the cloud based on their request. The requests and the activities of users are monitored and controlled by the group manager based on the roles of them. However due to the dynamic nature of the multi -user clouds result in challenges for ensuring the security of the cloud. Additionally, the revocation of existing users often results in increased overheads. A novel framework of Secret Twisted Encryption based access mechanism model (STE-AMM) is proposed to resolve these issues with two modules. The Square Decisional Diffie-Hellman (SDDH) technique is employed to generate the digital signature for users and used to govern the user in group module. The secret keys to secure the data is generated with the STE algorithm which is the improved Advanced Encryption Standard (AES) and used in the data module. The proposed STE-AMM framework is implemented and evaluated with the metrics of time and cost. The obtained results showed that the performance of the proposed framework is effective than the existing models for securing the data in the cloud. The proposed framework may be enhanced with random size for signature and security key.
Malignant Breast Cancer Detection Using Feature Selection And Ant Colony Optimization Deep Learning Technique

Bosom carcinoma is one among the main tumors for women in developed countries including Asian country. One of the most stunning infirmities is disease carcinoma furthermore; it has a potential reason behind death in women. Consistently, passing rate increments radically because of bosom carcinoma disease. Regardless of the way that disease that cancer is curable in earliest stages the enormous numbers of patients are inspected with carcinoma growth at late stages. There have been a numerous experiential studies tending to Bosom carcinoma machine learning and soft computing techniques. Many case that their algorithms are quicker, simpler, or more precise than others are. The main goal of the research is the classification rule mining algorithm dependent on Ant colony optimization (ACO). The paper focus on the extension of Ant-Miner named CAnt-Miner and CAnt-Miner2 which integrates an entropy-based discretization method in order to managing the non-broken variables in ACO classification algorithms. The main objective of Ant-Miner is to take out the information for classification rules from the selected data. These techniques that are used to identify the carcinoma patients and prognosis depend on the performance of the classifier method was based on predictive accuracy and simplicity of rules
Intraday Liquidity and Trading Dynamics Around Extreme Price Movements in Cryptocurrencies

Covering the 8 most widespread cryptocurrencies in the world across the 16 most active trading platforms from May 2015 to July 2018, we show that intraday extreme price movements (EPMs) in cryptocurrencies are accompanied by a sharp increase in trading volume, spreads and depth. This holds true whether we focus on the Bitcoin on the most active Bitfinex platform only, or extend the analysis across several cryptocurrencies and platforms. Using the logistic regression framework adapted to rare events, we show that the number of trades is the most consistent driver of EPMs, as it is often the case for traditional markets.
Extremal problem for functional of area

In the present article, the generalization of Lavrent'ev problem about the estimate of area of image of the circle is studied. It is shown that the above estimate in the investigated class is precise.
Analyzing the Human Rights Impact of Increased Digital Public Health Surveillance during the COVID-19 Crisis

The COVID-19 pandemic has led policy makers to expand traditional public health surveillance to take advantage of new technologies, such as tracking apps, to control the spread of SARS-CoV-2. This article explores the human rights dimensions of how these new surveillance technologies are being used and assesses the extent to which they entail legitimate restrictions to a range of human rights, including the rights to health, life, and privacy. We argue that human rights offer a crucial framework for protecting the public from regulatory overreach by ensuring that digital health surveillance does not undermine fundamental features of democratic society. First, we describe the surveillance technologies being used to address COVID-19 and reposition these technologies within the evolution of public health surveillance tools and the emergence of discussions concerning the compatibility of such tools with human rights. We then evaluate the potential human rights implications of the surveillance tools being used today by analyzing the extent to which they pass the tests of necessity and proportionality enshrined in international human rights law. We conclude by recommending ways in which the harmful human rights effects associated with these technologies might be reduced and public trust in their use enhanced.
Improved defect segmentation by combining fiber optic fringe projection profilometry with directional variable brightfield illumination

Based the fringe projection profilometry, a compact and flexible positionable measuring head can be combined with optical fiber bundles to perform in-situ inspection tasks in industrial applications. Surfaces of complex geometries can be reconstructed and quantified in metric coordinates by means of a fast, non-contact and high-resolution measurement. Defect segmentation, on the other hand, is rather complex with three-dimensional point clouds, since reference data is required or a deviation determination is ambiguous and susceptible to errors. Due to each reconstructed object point corresponding to a camera pixel, it is possible to apply image processing algorithms or neural networks for defect segmentation. Since image based segmentation is more susceptible to poor illumination and deviating surface curvature or texture, a circular array of miniature LEDs has been coaxially arranged around the imaging optics of the camera’s fiber to provide different illumination directions. By utilizing a directional variable illumination sequence, the advantages of image-based segmentation can be combined with the unambiguousness and metric quantifiability of point cloud data.
Design a Novel Technique for Load Balancing In Cloud Computing Environment

Efficient scheduling of heterogeneous tasks to heterogeneous processors for any application is crucial to attain high performance. Cloud computing provides a heterogeneous environment to perform various operations. The scheduling of user requests (tasks) in the cloud environment is a NP-hard optimization problem. Researchers present various heuristic and metaheuristic techniques to provide the sub-optimal solution to the problem. In this paper, we have proposed an Ant Colony Optimization (ACO) based task scheduling (ACOTS) algorithm to optimize the makespan of the system and reducing the average waiting time. The designed algorithm is implemented and simulated in CloudSim simulator. Results of simulations are compared to Round Robin and Random algorithms which show satisfactory output.
Electronic Data Collection in Health Research: Shared Experiences from the Field, South Africa

mHealth and electronic data collection (EDC) systems have rapidly expanded in developing countries. A synthesis of the experiences of the researchers in resource limited African settings who have used electronic (mobile) systems to facilitate data collection in large-scale research was conducted.
Geological mapping of carbonatites and related ores from the Oulad Dlim massif (Dakhla Province, Morocco) using remote sensing, portable X-ray fluorescence, and mineralogical data

&amp;lt;p&amp;gt;During the last decades, carbonatites and associated rocks have received increased interest from mining companies and the scientific community. They represent a classic source of a variety of critical elements required by certain emerging technologies and industries such as niobium, rare earth elements (REE), and phosphorus. Morocco like many other countries have several Alkaline igneous complexes, however, their potential in terms of REE-P-rich carbonatites is poorly explored and needs to be investigated. This study is an attempt to develop an advanced exploration tool for the detection and mapping of these rocks using remote sensing.&amp;amp;#160; Preliminary investigations were focused on the Oulad Dlim massif at the western Reguibat Shield (Southeast of Dakhla province) where several carbonatite structures were reported, including Gleibat Lafhouda, Twihinate, Lamlaga, Lahjayra. Advanced Spaceborne Thermal and Reflection Radiometer (ASTER) data were used to: (i) identify and map carbonatites and associated rocks liable to contain REE-P mineralization, (ii) investigate their spectral features, and produce predictive maps. Several image processing techniques, have been performed including band ratio, color composite image, principal component analysis and minimum noise fraction. The combination of these techniques appears to more effectively detect carbonatites and associated rocks. The effectiveness of this approach was verified using field investigation, in-situ geochemical analysis with portable X-ray fluorescence, and petrography. The field data were used to train classifiers to better delineate the spatial distribution of the different lithological facies. The results are generally consistent with available geological maps indicating that this approach can be satisfactorily applied in the early stages of geological exploration.&amp;lt;/p&amp;gt;
The Top 10 Field Service Challenges and How To Solve Them

Drive efficiency, revenue, and customer satisfaction with a NetSuite-integrated field service management solution In their quest for revenue ...
Face Presentation Attack Detection via Spatiotemporal Autoencoder

Wide usage of biometric authentication systems engages attackers. Face presentation attacks try to deceive the machine learning-based system via malicious inputs to the sensor employing tools such as a face mask or photo. Presentation attacks threaten the deployment of face recognition systems to the real-world since security is a priority for an authentication system. In this paper, we propose a Convolutional Long Short Term Memory (ConvLSTM) based Spatiotemporal Autoencoder model. The proposed model only employs the real samples to train the model by minimizing the reconstruction error. The model learns to reconstruct real samples; thus, reconstruct attack samples with higher reconstruction error. The model classifies whether a sample is genuine or not via the scoring function based on the reconstruction error. The proposed model reduces the half total error rate by 22% compared to the commonly used methods in the literature.
The Dilemma and Path Study of Physical Education Teaching Reform in Vocational Colleges from the Perspective of Core Literacy

Core accomplishment; Teaching reform; Physical education; Path
PERANCANGAN SURAT BISNIS SECARA ELEKTRONIK PADA KERUPUK-KEMPLANG DAN PEMPEK Hj. EVA YUNUS

Comunity service activities in the business of kemplang and pempek Hj. Eva Yunus aims to improve knowlegde and skill s in designing business letters that meet the requirments for good letters. The problem faced by the Hj. Eva Yunus is less proactive in marketing the products produced, where they are only waiting for buyers who come at the place of business, and supplying the several shops that work together to market kemplang crakers. Therefore, to remain competitive in the kemplang business competition, the management must implement a marketing strategy that is able to adapt to business con d itions and cooperate with various relate parties such as restaurants, canteents, cooperatives. In Additon, to overcome this , the manager can carry out written comunication through letters (for example, offer letters). To solve the problem at hand, the method used is socialization to partner about the important of knowlegde ab o ut designing business letter followed by an explanation of how to make business letters that meet the requiretment of good letter, in term of designing parts of the processing and email programs. The results achieved from this counseling activity are an increase in the knowledge and skill of administrative employee in designing business letters that meet requiretment for good letters using microsoft office word and email programs.
Photonic reservoir computer with all-optical reservoir

A photonic reservoir computer (RC) leverages optical phenomena to implement multiplication by large pseudo-random matrices used by reservoir computers to perform complex machine learning tasks. Here we show that the equations for propagation around a multimode (MM) ring resonator can be cast exactly in the standard RC form with speckle mixing performing the matrix multiplication, an optical nonlinearity, and optical feedback. The hyperparameters are the outcoupling efficiency, the nonlinearity saturation level, and the input bias. The MM ring geometry reduces the sampling rate of backend ADCs by the number of neurons compared to single mode rings and removes the costly optical-to-electrical conversions required at each time step in the arrays. Simulations show a ring using a strongly guiding 50-m planar waveguide gives 200 neurons and excellent predictions and classifications of Mackey-Glass waveforms, while a weakly guiding MM 200-m diameter fiber gives about 4,000 neurons and excellent predictions of chaotic solutions of the Kuramoto-Sivashinsky equation. We perform several simulations of both systems to demonstrate the spatial sampling requirements for the output speckle patterns and that these ring resonator RCs are not excessively sensitive to tuning of the hyperparameters. Finally, we propose designs implementing the system as a chip-scale device or with discrete components and a MM optical fiber.
Efficiently quantifying entanglement in high-dimensional quantum photonic systems

This Conference Presentation, “Efficiently quantifying entanglement in high-dimensional quantum photonic systems,” was recorded for the Photonics West 2021 Digital Forum.
Modified bio-inspired algorithms for diagnosis of breast cancer using aggregation

The most widely detectable of all cancers found in women is breast cancer. The mortality rate is also the second-highest among women with a 12% growth rate. It is very pertinent to diagnose breast cancer in the nascent stages so that the survival of the patient is ensured with the help of proper medication. Several algorithms have been proposed in this regard. However, they have failed to achieve the desired level of accuracy. An improved version of the particle swarm optimisation and firefly algorithm is presented in this paper to overcome the drawbacks of the existing algorithm. The two algorithms are further aggregated to improve the accuracy of the results. The aggregated algorithm is used on the Breast Cancer Wisconsin (Diagnostic) Data Set (real-valued dataset), and results are calculated for different classifiers. An accuracy of 92%-96% is shown by improved particle swarm optimisation and 1%-2% overall hike in the accuracy by improved firefly algorithm, respectively. Finally, the aggregated algorithm shows an accuracy of 93%-97%. Further, random forest classifier has displayed the best accuracy of 97%.
ANALISIS PEMASANGAN ARCING HORN PADA SALURAN TRANSMISI 150 KV DI GARDU INDUK BEKASI - HARAPAN INDAH

High Voltage Power Line from the power plant to the substation, if it passes through an area with a very high potential for lightning strikes, then the chance of being hit by a lightning strike will be great. An economical and simple electrical protection device in high-voltage overhead lines that can secure a lightning surge is an arcing horn that is able to passively cut the lightning implant voltage but cannot extinguish itself. So a recloser is needed for overcurrent protection, due to a short circuit, where this recloser cuts the current and closes automatically with a time that can be adjusted with the recloser interval setting to secure the system from temporary disturbances. Therefore, an analysis of the installation of arcing horns was carried out on the 150 kV transmission line at the Bekasi substation - Harapan Indah. This type of final project writing is a quantitative method with the research stage of literature study, data collection, data processing, analysis and final project creation. The distance between the isolator and the arcing horn is 75% - 85% with a distance of 1 piece 13 cm with a total of one plan 9 pieces so the permissible distance arcing horn is 0.877 meters - 0.994 meters and grounding on tower D 11 is 1.17 ohms.
Grammatical Error Analysis in Descriptive Writing of Accounting Students at Politeknik Harapan Bersama Tegal

Most students have difficulty in learning English especially for Writing material, because in addition to the problem vocabulary there is also a lack of student’s understanding of Grammar. It takes a while to work on Writing because it should consider the aspects of Vocabulary and Grammar. This research was conducted to find some Grammar errors which commonly done by students of Accounting study Program at Politeknik Harapan Bersama Tegal. So the purpose of this research is to analyze student Grammar mistakes in particular in descriptive text. This research uses qualitative descriptive methods as a method of research. Data presented in the form of descriptive analysis. From the results of the study showed that students make mistakes on the Verb Agreement 7.07%, Capitalizing 34.84%, Grammatical Error (Usage) 2.52%, Sentence Pattern 4.04%, pronoun 49.49%, Spelling 2.02%. From the result, it can be concluded that the students should learn Grammar especially about pronoun, because of the mistakes that most students do.&#x0D;
PERENCANAAN ULANG SISTEM DRAINASE UNTUK MENGATASI BANJIR PADA PEMUKIMAN PADAT PENDUDUK

This study aims to overcome the floods that occur in densely populated areas by re-planning existingchannel dimensions. This research was conducted in the RW04 area, Cakung Barat Village, Cakung District,East Jakarta. This region has an area of 25.4ha with flat topography (5-6masl) and densely demographicconditions.The research method uses Quantitative Descriptive Methods. Data collection techniques used are byfield observation and analysis of rainfall data.The results obtained in the form of flood discharge, channel capacity, and plan channel dimensions.Re-planning is carried out on 7 channels that cannot withstand flood discharge by widening the cross section ofthe channel.
Smart Matter: Basic introduction and its potential in the future

This article gives an overall introduction to the Smart Matter, which is also referred to as Micro Electrical Mechanical Systems (MEMS). In this article, the author demonstrates some unique features of Smart Matter, including its modularity, reconfigurability, and compatibility. Its manufacturing limitations are also discussed. Then the author uses a kind of smart tiles to give an application of Smart Matters. Finally, the author states the future potential of the Smart Matter.
The development and problems of sports rehabilitation industry

With the development of national economy and the improvement of the quality of life of the people, the concept of sports rehabilitation has gradually gaining popularity, bring about the rapid development in the field of sports rehabilitation. However, there are still many problems and deficiencies that should be improved in sports rehabilitation in China. This paper mainly analyzes and discusses about these problems arising in the development of the sports rehabilitation, and propose some solutions to existing problems.
MEKANISME ADSORBEN ZEOLIT DAN MANGANESE ZEOLIT TERHADAP LOGAM BESI (Fe)

Iron (Fe) is an essential metal whose presence in certain amounts is needed by living organisms, but in excess amounts it can cause toxic effects. This study aims to determine the effect of optimum contact time and optimum mass variation on Fe metal reduction using zeolite and manganese zeolite adsorbents. In addition, isotherm studies and adsorption kinetics were carried out. The variations in contact time used in this study were 0, 15, 30, 45, and 60 minutes. Meanwhile, the adsorbent mass variations used were 1 and 1.5 grams. From the results of this study it is known that the optimum time for the adsorption of Fe metal is 60 minutes with an adsorbent mass of 1.5 grams, a decrease in concentration of 51.1394% for manganese zeolite adsorbent and 47.6074% for zeolite adsorbent. . The iron ion adsorption process using zeolite and manganese zeolite follows the Freundlich adsorption equation model. The adsorption rates of zeolite on ferrous metals for masses of 1 gram and 1.5 grams tend to follow the second order pseudo kinetics model.
코로나19 사태에서 온라인 영어 수업에 대한 초등학생 및 학부모 인식 조사: 실시간 대 비실시간 수업 비교

It seems indescribable how greatly the COVID-19 has impacted public schools not only in Korea but also all over the world. Since the outbreak in early...
MERN Stack: Part I

In the previous chapter, you learned about state management and Facebook’s Flux state management architecture. You learned about the most popular state management tools to date: vanilla Redux and Redux Toolkit. In this chapter, we will implement a login with an exclusive private member area using Recoil and the Mongo-Express-React-Node.js (MERN) stack. Specifically, we will be using React with Recoil to share the state across different components as the view layer and middleware. In the next chapter, we will implement Node.js, Express, and MongoDB as the back end.
AN ANALYSIS SOCIAL CHANGE IN OBAMA ERA AS REFLECTED LAUREN OLIVER’S NOVEL “BEFORE I FALL”

This research is entitled “An Analysis Social Change In Obama Era As Reflected Lauren Oliver‟s Novel “Before I Fall. The purpose of this study is to determine what social changes occur in the novel “Before I Fall”. The method that has been used in this research is qualitative, because this method can provide accurate data. The data obtained from novel Before I Fall which consists seven chapters. Data is also taken from the books, journals and internet concerned with this research. The results showed that the social changes that occur have a positive impact that makes inspiration for adolescents and other society.
Monty Python and the Probability of Winning the Holy Grail

Many popular games that people play at home, such as board and card games, provide a basis for interesting problems that can be solved using combinatorial analysis. When thinking about activities s...
Development of distance measurement method using stereo camera system with stabilizer

In order to realize an autonomous mobile robot, it is important to grasp the surrounding 3D spatial distance information. To get distance information, the general method is to acquire images data from two or more different viewpoints with a camera and to restore 3D spatial information using the correspondence between points on the image and points to be measured. However, when the mobile robot moves，it will vibrate and shake，and the image may be blurred. To reduce the effects of vibration and shaking, stabilizer cameras have been developed that rotate the camera optical axis. Since the optical axis of the camera is changed by the stabilizer that operates according to the vibration, the correspondence between the point on the image of the camera and the point to be measured changes.Conventional measurement methods are not available. In this paper, we propose a distance measurement method for a stereo camera with a stabilizer that can measure the distance even if the correspondence between the point on the image and the point to be measured fluctuates. For the verification experiment, the effectiveness of the method is verified by running a mobile robot and performing a distance measurement experiment.