Reviewerly/exHarmony huggingface dataset:
Face recognition unlocking uses principal component analysis to control the vehicle door system

Abstract In daily life, there are often simple but fatal mistakes. Such as when go driving to someplace, after closing the vehicle door with a traditional vehicle key which is so easily damaged, missed, or lost, then becomes a significant issue. To overcome this problem, a modern system in opening vehicle door locks with a face recognition system using a smartphone was introduced. This face recognition software use combined with a D1 mini control system to open the control lock in the smartphone. The research method is principal component analysis (PCA), which is mainly divided into two steps, training, and recognition, respectively. In the research of face recognition, also used PCA to find important parameters, and use the eigenvalues and feature vectors of the oblique variance matrix of face features as value, and use this as a basis for recognition, then face recognition be successful. This research establishes a software and hardware vehicle door verification system. Using the phone to unlock the door, this research uses the vehicle door to display, when face recognition successful, the door lock will be unlocked then the user can open the door. Using the face recognition system to open the door has higher security, and without bringing the key to go out, it is making life more convenient.
Mother-Tongue Interference in Learning English in English Meeting Club

Interference is a phenomenon that occurs in a society when learning a new language and bilingualism is one of the causes why interference is. Interference occurs mostly because the speakers who have more than one language used to interact with one another. This study aimed to describe the kind of interference errors made by learners of English in English Meeting of disorders caused by the mother tongue. This study used qualitative method which its subject was taken from participants of English Meeting. The collecting of data used audio recording which was converted into transcription. The results showed that interference errors committed by English language learners' is generally influenced to phonetic refers to speech sounds, lexical interference to the level of words and grammar disorder refers to the rules of grammar in language. This is due to the fact that the speaker Indonesia experienced a huge obstacle when trying to use English as the target language as first language learners have mastered. The source of the difficulties is based on the level difference between the Indonesian system and the English systemKeywords – Interference, Bilingualism, Interference errors
SYNCHROTRON BASED MICRO-MAPPING AND XAFS INVESTIGATION OF Fe-Mn AND EPIGENETIC INTERGROWTH WITHIN THE CAMBRIAN SHALLOW MANGANESE DEPOSITS, SOUTH JORDAN

The current work investigates the Cambrian Manganese ore deposits from Wadi Dana at central Wadi Araba region. This investigation aims to unravel the chemistry and micro-textures of the mineral paragenetic sequence for these manganese ore deposits. Particularly the Fe–Mn intimate intergrowth micro texture and the epigenetic Mn mineralization associated with Cu minerals. The combination of the synchrotron-based X-ray fluorescence (syn-XRF) micro-mapping and X-ray absorption fine structure (XAFS) techniques were used. They provide a clear picture of the elemental distribution of Mn, Fe, Cu, and Pb and other elements presented within the ore micro textures. Besides, it determines the exact elemental speciation. The results obtained gave a better understanding of the elemental atomic structures and eventually the depositional environment. Particularly, the syn-XRF micro-mapping reveals the existing of many successive evolution stages in the Mn ores. Besides, the X-ray Absorption Near Edge Structure (XANES) results showed that the micro-rhythmic texture is changing from Mn+4 (Pyrolusite) into Fe+3 (Hematite). This is evidence for the role of Eh as the main controlling factor during the ore formation. Eventually, indicating tentatively the paleoceanography setting of the Mn deposits. This is related to the continuous transgression-regression on the sea level in a semi-closed sea.
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks

We present a simple but effective approach for leveraging Wikipedia for neural machine translation as well as cross-lingual tasks of image captioning and dependency parsing without using any direct supervision from external parallel data or supervised models in the target language.We show that first sentences and titles of linked Wikipedia pages, as well as crosslingual image captions, are strong signals for a seed parallel data to extract bilingual dictionaries and cross-lingual word embeddings for mining parallel text from Wikipedia.Our final model achieves high BLEU scores that are close to or sometimes higher than strong supervised baselines in low-resource languages; e.g.supervised BLEU of 4.0 versus 12.1 from our model in English-to-Kazakh.Moreover, we tailor our "wikily" supervised translation models to unsupervised image captioning, and cross-lingual dependency parser transfer.In image captioning, we train a multitasking machine translation and image captioning pipeline for Arabic and English from which the Arabic training data is a translated version of the English captioning data, using our wikily-supervised translation models.Our captioning results on Arabic are slightly better than that of its supervised model.In dependency parsing, we translate a large amount of monolingual text, and use it as artificial training data in an annotation projection framework.We show that our model outperforms recent work on cross-lingual transfer of dependency parsers.* Research was conducted at The University of Pennsylvania.117 lingual data for machine translation without 118 any explicit supervision.Our mining algo-119 rithm easily scales on large comparable data 120 using limited computational resources.We 121 achieve very high BLEU scores for distant 122 languages, especially those in which current 123 unsupervised methods perform very poorly.124 • We propose novel methods for leveraging 125 our current translation models in image cap-126 tioning.We show that how a combina-127 tion of translating caption training data, and 128 multi-task learning with English captioning as 129 well as translation improves the performance.130 Our results on Arabic captaining shows re-131 sults slightly superior to that of a supervised 132 captioning model trained on gold-standard 133 datasets.134 • We propose a novel modification to the anno-135 tation projection method in order to be able 136 to leverage our translation models.Our re-137 sults on dependency parsing performs better 138 than previous work in most cases, and per-139 forms similarly to using gold-standard parallel 140 datasets.
Application of the Knuth-Morris-Pratt Algorithm on Android-based Money Recognition Applications for the Blind

Blind is a term used to define the human condition given a privilege by God in the sense of sight, this condition makes blind people have a little difficulty in carrying out daily activities. Money is a primary human need and is very important for daily buying and selling transactions. Indonesian money, especially paper money, has an embossed line that can help people with visual impairments a little, but there is some money circulating in the market that is damaged or missing lines of appearance which makes it difficult for blind people to recognize the nominal of the money. The research was conducted at the “AISYIYAH” Orphanage for the Blind in Ponorogo by conducting several interviews with blind people, the informants provided information that they could recognize money on a daily basis but only applies to banknotes with good condition and the latest output, for damaged banknotes. or the old output is hard to identify. To help the blind recognize money, an android-based application was designed with the Knuth-Morris-Pratt algorithm which is a type of string matching algorithm. This algorithm is a development algorithm from the previous algorithm, namely the Brute Force algorithm. The final result of this study shows that the android application designed using the Knuth-Morris-Pratt algorithm is able to recognize nominal money with an accuracy rate of 100%.
Analysis of HPE Hyperconverged Information Technology Marketing Strategy at Proteksindo Data Supplier Company

Hewlett Packard Enterprice (HPE) Hyperconverged is an Information Technology (IT) framework that combines storage, computing and networking into a single system in an effort to reduce data center complexity and increase scalability. HPE Hyperconverged improve business and the productivity of IT staff and increase the speed of services delivered to customer. The marketing strategies that will be researched to see of the marketing mix, consisting of product, price, place, promotion, people and processes, the analysis using the Strengh Weaknesses Opportunities Threat (SWOT) analysis to determine the right strategy. The method study was descriptive qualitative research. The subjects in this study were the manager marketing, 2 marketing staffs and 3 sales . The instrument used a form of interview guidelines and the type of recorder. Data analysis used SWOT analysis. Results in this reasearch that (1) Products: Products used in cooperation with Hewlett Packard Enterprise (HPE) that one of biggest IT company in the world (2) Price; price is still relatively expensive. (3) Place; Data Proteksindo in Central Jakarta strategically located. (4) Promotion: Promotion is not maximized. (5) People; trained IT staff, good, loyal. (6) Process: The process of installation of HPE hyperconverged should be accepted to the criteria that will be used in Data Center. Data Proteksindo is in strategic location, the promotion should be more leverage, based on SWOT analysis the most appropriate strategy is an aggressive strategy in order to growth stage.
A Real Time Sign Language Recognition System using Hand Tracking

While the majority of individuals can communicate using spoken language, certain persons with restricted skills must communicate using sign language, which involves hand and finger gestures, even if not everyone can comprehend what they are saying.The fast advancement of information technology can aid in the comprehension and translation of gestures.Using the Kinect camera, this project seeks to develop and build a system that recognises alphabet sign language gestures with the feature of fingers opening.The tracking process and the recognition process are the two steps of the recognition system.The tracking procedure was completed by using the hands tracking approach.The recognition process is divided into two phases: the first is to get input that will be used as reference data and data testers, which is accomplished by calculating vectors and vector angles; the second is to recognise gestures, which is accomplished by calculating the Euclid distance.The system can detect motions alphabets with an average degree of accuracy of 69.79 percent, which varies according on the scenario.
IMPLEMENTATION OF SCHOOL PROGRAMS AT POPULATION IN LEARNING (Case Study in South Bengkulu 1 High School)

This study aims to describe the implementation of the Population Alert School (SSK) in SMAN 1 South Bengkulu. The method used is descriptive qualitative. The informants of this study were 13 people involved in the SSK program. Data collection techniques are interviews, observation, and documentation. Data analysis techniques involve the stages of data collection, data reduction, data presentation and drawing conclusions. Based on the field findings it can be concluded that the results of the study are: (1) SMAN 1 South Bengkulu has prepared a policy foundation in the form of a written decree, financial support, facilities and infrastructure, human resources preparation by including teachers in SSK training. (2) The execution of PBM is in accordance with the RPP by the incorporation of 8 family functions material, visits to agencies related to SSK, students have been able to integrate SSK material with the ability to analyze population data and population problems, as well as the presence of students' understanding about quality families and early-age marriages. (3) The evaluation of SSK implementation shows that the school has a Population Corner, the values of eight family functions are internalized in students, students have understood about reproductive health, maturation of marital age and the importance of quality family. (4) There are obstacles in activities such as: lack of funds for activities and infrastructure, and not all activities can be integrated in the extracurricular subjects and activities, as well as limited documentation.
Effects of Blockchain Law Course Integrated Multimedia Dynamic Teaching on Students’ Learning Motivation and Learning Effectiveness

The cultivation of intellectual property right talents who bear the mission of blockchain era becomes the key in the new breakthrough of integrating blockchain and intellectual property rights to form new sources of economic growth in the new/old kinetic energy conversion. Higher education is the major way to cultivate talents. Nevertheless, blockchain law courses currently offered by international colleges and universities are developed from technology fields of technology finance, distributed systems, and cryptocurrency, but not the instruction from legal perspectives. The experimental design model is applied in this study to the experimental research of students majoring in intellectual property rights in the same grade from same-level schools in Guangxi. Total 170 students are preceded the 16-week blockchain law knowledge on-campus experimental teaching. The research results show significant correlations between blockchain law course integrated multimedia dynamic teaching and learning motivation, remarkable correlations between blockchain law course integrated multimedia dynamic teaching and learning effectiveness, notably positive effects of learning motivation on learning effect in learning effectiveness, and significantly positive effects of learning motivation on learning gain in learning effectiveness. According to the results, suggestions are proposed, expecting to cultivate domestic students majoring in intellectual property rights, from legal vision, establishing the systematic way of thinking and knowledge system from know-why, to practical application, and then to legal regulations to enhance the learning effect of blockchain law knowledge and core skills to solve blockchain law issues of students majoring in intellectual property rights.
Covert Communication in Termography - Analysis of Possibilities and Examples

The article presents a new concept of using thermography – steganography in thermography. Steganography is a technique of hiding information in a non-obvious way and belongs to the field of science related to information security. This article examines three examples of steganographic channels – covert communication channels that use thermal imaging devices in three different ways. The first proposed method uses the possibility of alternating the scene observed by the infrared camera in a way that additional information is included in the thermogram. The second method, called ThermoSteg, uses modification of one of the parameters of the thermal imaging camera (integration time) to embed the signal containing hidden information. The third method is based on digital thermograms and the methods of replacing dead pixels in them by creating the so-called zombie pixels carrying secretive information. Three methods have been implemented under real conditions and proven to work in practice.
Nonlinear dynamics of the wolf tone production

Some bowed string instruments such as cello or viola are prone to a parasite phenomenon called the wolf tone that gives rise to an undesired warbling sound. It is now accepted that this phenomenon is mainly due to an interaction between a resonance of the body and the motion of the string. A simple model of bowed string instrument consisting of a linear string with a mass–spring boundary condition (modeling the body of the instrument) and excited by Coulomb friction is presented. The eigenproblem analysis shows the presence of a frequency veering phenomenon close to 1:1 resonance between the string and the body, giving rise to modal hybridation. Due to the piecewise nature of Coulomb friction, the periodic solutions are computed and continued using a mapping procedure. The analysis of classical as well as non-smooth bifurcations allows us to relate warbling oscillations to the loss of stability of periodic solutions. Finally, a link is made between the bifurcations of periodic solutions and the minimum bow force generally used to explain the appearance of the wolf tone.
Arabic and English Loan Words in Bahasa: Implications for Foreign Language Pedagogy

Many Arab students are currently pursuing their education at Malaysian institutions, and they have to study Bahasa Malaysia as a university requirement to be able to communicate with people in the local community. Therefore, this study aims to help Arab students learn Bahasa easily as Bahasa contains many loan words from Arabic and English. This article gives Arab students examples of Arabic and English loan words with which they are familiar and shows them the different phonological adaptations of Arabic and English loan words in Bahasa as the Arabic, English and Bahasa sound systems are different. A corpus of non-technical Malay words that are commonly encountered in public places in Malaysia was collected and analyzed. A contrastive analysis of Arabic and Malay, and English and Malay phonological systems was performed. Different homogenization processes are applied to Arabic and English loan words depending on the differences between Arabic and Malay, and English and Malay. Examples of Arabic loan words in Malay are: menara, Sabtu, Ahad, Akhir, tahniya. Examples of English loan words in Bahasa are: stesen, kelab, tren, kompleks, imigresen, destinasi. Further implications for learning Bahasa Malaysia by Arab students are given.
Development and Implementation of a Low-cost Automatic Dual-axis Solar Tracker through Hardware/Software Embedded Program Control

A solar tracker is a system that is used for the mechanical orientation of solar payloads (collectors and photovoltaic panels) towards the sun. A simple, low-cost, but effective open-loop dual axis solar tracking system was developed in this work. The tracker is an embedded system that consists of a microcontroller integrated with other components in an electronic circuit to coordinate the activities of the circuit in driving out and in the motor shafts of electrically powered linear actuators used to move the payload. The work is divided into two parts: hardware and software. The hardware part consists of two movable (tilting and axial moving) rectangular frames fixed together and used to hold the payload and two electrically powered linear actuators (jacks) used to move the rectangular frames in the tilting and axial directions. The software part was a code written in the C programming language following an algorithm developed from measured parameters of the jacks and the sun’s position and embedded into a microcontroller. The testing of the dual-axis solar tracker was done by measuring a parabolic trough collector’s position with respect to the sun hour angles and solar declination angles and comparing the values with the calculated angles for two days. The results obtained showed that the tracker followed the sun with deviation of ±2o (percentage errors that ranged between 0.01% and 3.26%).
Adomian Decomposition Method Used to Solve a SIR Epidemic Model of Dengue Fever

In this paper, we solve a SIR (Susceptible-Infectious-Recovered) epidemic model of dengue fever.The SIR model is difficult to solve exact-analyticaly.Therefore, we use an approximate method.The method that we use is the Adomian decomposition method.The method produces approximate solutions as series.With only three terms in the series, we observe that the approximate solutions are observed.This means that the Adomian decomposition method can be used in solving the SIR model.
From AI to HBIM: New Interpretative Scenarios in Data Processing

The paper results from preliminary research experiences focused on the use of Artificial Intelligence as a tool for processing the large amount of data that can be obtained from digitisation processes applied to the Architectural Heritage.The new interpretative scenarios will be outlined starting, on one hand, from a series of consolidated experiences in the field of three-dimensional survey, modelling and semantic enrichment, and, on the other, from the use of Augmented Reality tools for the fruition of the Heritage itself.The research aims to further investigate the great potential of processing point cloud models using Artificial Intelligence, to extrapolate, from the digitized data, information levels that go beyond shapes, offering better integration within the Building Information Modeling environment.
SECURE FILE STORAGE ON CLOUD USING HYBRID CRYPTOGRAPHY

In this paper our intention is to soundly preserve records into the cloud, with the aid of the usage of splitting statistics into numerous chunks and storing components of it on cloud with inside the route of a way that preserves statistics confidentiality, guarantees availability and integrity. The all at once superior use of cloud computing with inside the various corporation and IT industries offers new software program with low fee. Cloud computing is beneficial in phrases of low fee and accessibility of records. Cloud computing offers lot of blessings with low fee and of records accessibility via Internet. Ensuring the protection of cloud computing can be a outstanding take into account the cloud computing environment, as customers regularly preserve touchy records with cloud garage corporations, however the ones corporations additionally may be untrusted. So, sharing statistics in normal way at the same time as keeping statistics from an untrusted cloud stays a tough issue. Our method guarantees the protection and privateness of consumer touchy records with the aid of the usage of storing statistics at some point of unmarried cloud, with the use of AES, DES and RC2 sets. KEYWORDS— Cloud computing, Data Security, Cryptography, Storage.
The Effectiveness of Using News in Mass Media as a Learning Media of Indonesian Language in SMK Students

The data source of this research is in the form of online data, namely 1. Online news 2. Non-online news that is applied at SMK.This research data in the form of words, phrases, clauses, and sentences contained in the news text as Indonesian learning media for vocational students.The data collection technique used is the note-taking technique.This study was analyzed using the referential equivalent method, referential equivalent with the hermeneutic approach, and read markers.Results of this study were found that, One, the data that was almost fulfilled in all aspects of the vocabulary and sentence building elements were only found in data 3, 7, and 8. Two, data were found, namely three parts, namely the discourse head, discourse contents and closing discourse.Three, in the study of news text symbol found only in BTBI Kemendibud class X and XI.For BTBI class XII, no symbol was found.