Reviewerly/exHarmony huggingface dataset:
PERANCANGAN APLIKASI ANDROID PENGUCAPAN HURUF HIJAIYAH SEBAGAI MEDIA PEMBELAJARAN FAST QURAN MENGGUNAKAN FLUTTER

Technological developments provide enormous benefits to all circles of society. In terms of education, it has also taken advantage of the development of android. Likewise in the field of religious education. Technology really supports the learning process among vulnerable ages, one of which is android as a medium for learning to read the Al-Qur'an. In countries that are predominantly Muslim, in fact there are still many who cannot read the Al-Qur'an. Based on PTIQ Jakarta's research, approximately 50 to 60 percent of Muslims cannot read the Qur'an. From this research, it was found that almost half of Indonesia's Muslim population could not read the Al-Qur'an. This condition is very concerning. By taking advantage of technological developments, utilizing Android and seeing existing realities, prompted me to design this application to make it easier for users to learn to pronounce hijaiyah letters correctly according to the character of the letters and according to the place where the hijaiyah letters came out. With this application to support the learning process in Fast Quran. This application uses the Flutter framework with the Dart programming language and is developed with Visual Studio Code.
Sobre incompletitud en matemáticas y el Principio de Paris-Harrington

This is an explanatory article: in it we make a short review of the problem of incompleteness in mathematics from the end of the 19th century to the 20th century. We discuss the Combinatorial Principle of Paris-Harrington, PH; how can we express it in the language of Arithmetic and the argument of the proof of its independence from the Peano Arithmetic, PA.
Research on character recognition technology based on neural network

Convolutional neural networks are currently popular multi-layer neural networks. They differ from traditional neural networks in some ways. They are mainly reflected in the introduction of three new concepts: weight sharing, receptive fields, and pooling. In this paper, for the handwritten digit character data set, a deep neural network is used to construct a LeNet network for training and recognition, and the data is enhanced differently to study and compare the recognition accuracy of the final network structure.
Sistem Pendukung Keputusan Pemilhan Calon Perangkat Desa Tapian Nauli Kecamatan Lintong Nihuta Dengan Metode Simple Additive Weighting (SAW)

Abstract Village officials who carry out most of the tasks of village heads carried out by village officials are those who assist the Village Head in implementing good governance with village officials who are able to work closely with the village head to advance good human resources. Village officials are important in the village in serving the community. Currently, in Tapian Nauli village, the selection of candidates for the village apparatus is still manual so that services to the community will be hampered. Until now there has not been an effective selection of candidates for village officials for the selection of candidates for the village apparatus Tapian Nauli. Buts Nauli. This system was built using the Additive weighting method so that a simple program that can be done more effectively. Additive weighting simple method one of the methods used in the decision support system with the calculation process by finding the weight value or suitability assessment for each attribute.
ANALISA SISTEM DRAINASE DI PERUMAHAN BUKIT SEJAHTERA ILIR BARAT I PALEMBANG

In the city of Palembang, several areas were affected by flooding or inundation, due to inadequate drainage system conditions, especially in Bukit Sejahtera Housing Ilir Barat I Palembang. This study aims to analyze the drainage system in Bukit Sejahtera HIlir Barat I Palembang Housing. The method for calculating flood discharge is approached with a rational formula, rainfall data is taken from Sultan Mahmud Badarudin II Palembang Station.The tides of the Lambidaro River, which is located next to the Bukit Sejahtera housing estate, greatly affect the impact of flooding that occurs in the drainage channels in the housing, besides the flooding that occurs also due to the impact of the intensity of high rainfall flowing in the channel when the tidal maximum and the amount of garbage that is in the channel and because of the poor condition of the channel due to flooding in the area.
Comparing clustering algorithms performance using multiple-objective functions

Clustering is the bunching of the data into groups of identical objects. Here each bunch is known as a cluster, each object is identical to its objects of the same cluster and different from other clusters. In this paper, we are doing an experimental study for comparing clustering algorithms using multiple-objective functions. We have investigated K-means a Partitioning-based clustering, Hierarchical clustering, Spectral clustering, Gaussian Mixture Model Clustering, and Clustering using Hidden Markov Model. The performance of these methods was compared using multiple objective functions. Multiple objectives have two core objectives: Cluster Homogeneity and separation. These multiple objective functions will be a great help to discover robust clusters in a more efficient way.
Automatic monitoring of crustal seismic activity in Galati region of southeastern Romania using full waveform-based approach

&amp;lt;p&amp;gt;In September&amp;amp;#8211;November 2013 a seismic swarm occurred in Galati region of southeastern Romania. The area was previously known as characterized by low seismic activity along the major crustal faults. During the period of swarm, between September 23rd and November 5&amp;lt;sup&amp;gt;th&amp;lt;/sup&amp;gt;, over 1000 events with the magnitudes (Ml) of 0.2&amp;amp;#8211;4.0, located at the depth of 5&amp;amp;#8211;10 km, have been detected. Despite the relatively small magnitude, events generated ground motions that were well felt by local people, leading to panic in the area. The proximity of active oil fields caused additional annoyance.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Advanced seismic monitoring in the region started in 2013 with deployment of mobile seismic stations immediately after the beginning of the swarm. Additionally, active seismic measurements were performed in order to characterize the shallow velocity structure at specific sites. Starting from July 2015 new permanents stations were installed in the area marking the beginning of Galati local network development. The routine seismic catalog derived using the acquired data and applying the standard detection and location techniques pointed that area continues to be seismically active, however with low rate of activity and magnitude of events. These made it a perfect study case for development of new advanced schemes for seismic monitoring of the regions with low and complex seismicity aiming on an understanding of the phenomenon underlying the 2013 seismic swarm as well as the current seismic activity in the area.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We developed and automatic monitoring scheme based on the network-based full waveform detection and location method BackTrackBB (Poiata et al. 2016) that exploits the coherency of signals&amp;amp;#8217; statistical features recorded across the seismic network. Once extracted from the flux of continuous data, seismic events are compared against the database of previously detected events using coherency and allowing to identify potential repeaters or multiplets. The earthquake catalog provided by the system starting from 2017 was compared to the routine ROMPLUS catalog of NIEP showing an increase in the number of detected events by the order of 3. We present the details of the implementation and discuss its advantages and drawbacks.&amp;lt;/p&amp;gt;
Smart Technologies in Foreign Language Training

The relevance of the topic is determined by the social significance of smart technologies in the innovative paradigm of education under the impact of integration and globalization processes which entailed transition from industrial to information society and deeper insight into new forms and content of education in the context of rapid social changes. Contextual, content-based and comparative analysis of distance, electronic and mobile education in foreign language training is used, as well as the specificity of computer linguodidactics as a separate area of foreign language teaching based on smart technologies is represented.The article analyzes the multi-level smart learning technologies used in training of MBA students, the additional web servers aimed at better awareness of the socio-cultural features of the country of the target language (quests, language game) and methodological tools for interaction between students and teacher, and among themselves. Practice-oriented online textbooks with hyperlinks to video lectures by world-famous scholars in specialized fields that intensify traditional educational process are illustrated. Basic levels of analysis of foreign language information in the world network resources are defined and exercises aimed at acquiring language competence on the basis of these training actions are indicated.
Watchlist Adaptation: Protecting the Innocent

One of the most important government applications of face recognition is the watchlist problem, where the goal is to identify a few people enlisted on a watchlist while ignoring the majority of innocent passersby. Since watchlists dynamically change and training times can be expensive, the deployed approaches use pre-trained deep networks only to provide deep features for face comparison. Since these networks never specifically trained on the operational setting or faces from the watchlist, the system will often confuse them with the faces of innocent non-watchlist subjects leading to difficult situations, e.g., being detained at the airport to resolve their identity. We develop a novel approach to take an existing pre-trained face network and use adaptation layers trained with our recently developed Objectosphere loss to provide an open-set recognition system that is rapidly adapted to the gallery while also ignoring non-watchlist faces as well as any background detections from the face detector. While our adapter network can be quickly trained without the need of retraining the entire representation network, it can also significantly improve the performance of any state-of-the-art face recognition network like VGG2. We experiment with the largest open-set face recognition dataset, the UnConstrained College Students (UCCS). It contains real surveillance camera stills including both known and unknown subjects, as well as many non-face regions from the face detector. We show that the Objectosphere approach is able to reduce the feature magnitude of unknown subjects as well as background detections, so that we can apply a specifically designed similarity function on the deep features of the Objectosphere network, which works much better than the direct prediction of the very same network. Additionally, our approach outperforms the VGG2 baseline by a large margin by rejecting the non-face data, and also outperforms prior state-of-the-art open-set recognition algorithms on the VGG2 baseline data.
Profit Renting Schema for cloud Service Providers in Cloud Computing

Cloud computing is a classification of web computing and with respect to request computing where shared assets and data are given to the client's on-request. Profit is the most critical variable from the cloud service provider and it is essentially dictated by the setup of a cloud profit stage under given market request. A solitary long haul leasing plan is generally used to design a cloud stage, which can't ensure the quality of administration however prompts to genuine asset squander. To beat the disadvantages of single leasing plan, Double asset RR Renting plan is composed which is the blend of both here and now and long haul leasing. Twofold asset leasing plan ensures the quality of administration as well as lessen the asset squander. In which queuing model is utilized for occupation booking. Twofold asset leasing RR conspire not just gives the Qos to the clients by utilizing load adjusting round robin calculation additionally expand profit than single leasing plan. Thirdly, a profit intensification issue is anticipated the twofold leasing arrangement and the streamlined course of action of a cloud stage is gotten by dealing with the profit help issue. Finally, a movement of calculations coordinated to break down the profit of our proposed arrange with that of the single leasing arrangement. The results exhibit that our arrangement can't simply guarantee the organization way of all requesting, furthermore get more profit than the last.
Putting Raku to Use in a Real-World Environment

Before solving any problems, you need to prepare your environment to edit, test, and run your Raku programs. This chapter will propose solutions to the problems that you will face. Raku can be used as a first language (and, in fact, I encourage you to see it that way), but you can also use concepts from other languages straight away.
A review of 3D human pose estimation algorithms for markerless motion capture

Human pose estimation is a very active research field, stimulated by its important applications in robotics, entertainment or health and sports sciences, among others. Advances in convolutional networks triggered noticeable improvements in 2D pose estimation, leading modern 3D markerless motion capture techniques to an average error per joint of 20 mm. However, with the proliferation of methods, it is becoming increasingly difficult to make an informed choice. Here, we review the leading human pose estimation methods of the past five years, focusing on metrics, benchmarks and method structures. We propose a taxonomy based on accuracy, speed and robustness that we use to classify de methods and derive directions for future research.
A Christian Counseling Approach for the Youth Family through a Family Analysis of Drama SKY Castle

This study analyzes the family members in the drama Sky Castle from a family counseling perspective to understand the effect of Korean family structure and the educational enthusiasm of parents on family relationships. This study also proposes three perspectives and roles of family counseling to assist the families with college preparing children. First, by using the concept of multigenerational family therapy it helps the family to attempt a new point of view by understanding the way to perceive the emotional transmission process among the origin family members. Second, by using the concept of structural family therapy it promotes the change of the sub-system in order to reconstruct the family system. Third, by using the concept of narrative therapy it suggests ways to help the family can unpack the dominant story. As closing, this study suggests the direction of family counseling within the Christian counseling scope. Christian counselors have unique roles: they can help the family members to understand the importance of the meaning and function of spirituality; they can help the family members to understand the importance of family environment on their children’s identity; they can help the family members to broaden their critical view toward the socio-structural and external environment that might impact the family.
SIFT and it’s Variants: An Overview

SIFT is a powerful feature description algorithm in the field of computer vision and pattern recognition. It finds its application in many real-world applications like object recognition, image retrieval, image matching,etc. due to its numerous robust properties. Since its inception, researchers are trying to improvise it in many ways and as a result, many variants of SIFT came into existence. In computer vision and pattern recognition literature, there are a good amount of reviews articles available on the earliest variants of SIFT like PCA-SIFT, SURF, etc. However,very limited literature is available that reviewed the latest variants. This paper comprehensively reviews some of the state of the art variants in SIFT family along with the popular old variants. It discusses the drawbacks in SIFT and how these drawbacks paved the way for the existence of different variants. A detailed description of each variant is presented and concluded with its pros and cons. The different variants reviewed in the paper are PCA-SIFT, SURF, GSIFT, CSIFT, ASIFT, VF-SIFT, and DSIFT.
DEVELOPMENTS IN RETAIL INDUSTRY THROUGH SOCIAL MEDIA INTEGRATION WITHARTIFICIAL INTELLIGENCE

For the last few years, there is a revolution in the Retail sector in identifying different ways to attract consumers while they shopin online or physical stores. Artificial intelligence holds the potential to transform how brands create and manage with the helpof social media in marketing. Acceptance of Artificial Intelligence in the analytics of Social media information offers benefits toboth businesses and consumers. This is very much important for us to understand the focus of organizations in employing theexpertise of social media and artificial intelligence in their marketing tactics for retailing their services or products. It starts witha simple question; How AI influence social media and vice versa? Triggered us to study the literature and improve our thoughtprocess. Our paper instigates with an outline to social media and artificial intelligence, elucidates the inspiration of AI againstSocial media and elaborates its usage in the Retail sector in multiple areas including marketing. The objective is to study theintegration of artificial intelligence with social media information for the betterment of the Retail Industry. Exploring theadvantages, disadvantages, and scope of artificial intelligence integration with Social media towards future research.
Types and Methods of Promoting and Developing Culture on the World Stage among the Countries of the USA, Europe and Asia

Thanks to communication technologies, culture is currently turning into geoculture and isbeginning to play an increasingly significant role in the strategic policy of states. Theimpossibility of carrying out large wars to redistribute spheres of influence makes us turn toother methods of expanding the influence of the state in the world. Here, economic and culturalfactors become decisive, and economic achievements, for all their evidence, often have a muchlesser impact on people's consciousness, on their way of thinking than cultural ones. The mostobvious example of this is the triumphal march around the world of American culture in all itsmanifestations, leading to the imitation of samples of this culture in countries of the world withcompletely different cultural traditions.
전쟁사 수업에서 참전군인 이야기를 어떻게 다룰 것인가

This article is about how to use the story of veterans as teaching material in History class dealing with the Korean War and the Vietnam War. In this paper, “veterans'' story” includes all of the war experiences written or spoken by veterans, and fiction and nonfiction with the veteran as the main character or subject.Until now, the veterans have participated in school security education, but its main emphasis was on military national security, that did not deviate from the past-oriented and divided narrative. On the other hand, the war veterans of history textbooks and children''s literature since the 2000s are portrayed as victims of war and object of sympathy and compassion, so this gives students a deep sense of the tragedy of war. This change can be seen as the result of the deepening of perception of war and peace and the development of unification education, peace education and civic education.In war history teaching, we should deal with the story of veterans in line with this trend. We don''t have to invite veterans in the form of guest lectures to ask for the content of the war, or to ask them to awaken patriotism or security consciousness, need to use the stories of the veterans as lesson materials in the war history teaching. This paper gives an example of the activity of reading and analyzing the story of the veterans. This will allow students to realize the horror of war and to reflect on what to do for peace. If we take out political and ideological veils and listen to and read the stories of veterans from the perspective of life, human rights and human dignity, it would be a good opportunity for us to learn peace through war.
Foreign Direct Investment and Economic Growth: The Nigerian Experience

This paper empirically investigated the relationship between Foreign Direct Investment (FDI) and economic growth in Nigeria. Findings on the relationship between foreign direct investment and economic growth in Nigeria remain ambiguous, unclear and inconclusive in the literature and hence this further study. Employing Ordinary Least Square (OLS) regression, Johansen Cointegration and Granger Causality Techniques, annual secondary time series data for the period 1986 to 2018 (obtained from World Bank and OECD National Account Data files accessed at www.indexmundi.com/facts/nigeria), was used to analyse the relationship and causal nexus between Foreign Direct Investment (FDI) and Nigeria's economic growth (GDP) on one hand and Gross Fixed Capital Formation (GFCF) and Nigeria's economic growth on the other hand. While a positive but insignificant relationship was found between FDI and GDP, there was an evidence of positive and significant relationship between GFCF and GDP. Johansen cointegration result evidenced a long run equilibrium relationship between the dependent and independent model variables and the Granger causality test revealed a unidirectional causal link flowing from FDI to GDP but no evidence of causality between GFCF and GDP was found within the period under review. That: government should intensify efforts at formulating and implementing macroeconomic policies targeted at improving FDI inflow; tax policies favourable to both local and foreign investors should be evolved
A review of the low-cost eye-tracking systems for 2010-2020

The manuscript presented an analysis of the work in the field of eye-tracking over the past ten years in the low-cost filed. We researched in detail the methods, algorithms, and developed hardware. To realization, this task we considered the commercial eye-tracking systems with hardware and software and Free software. Additionally, the manuscript considered advances in the neural network fields for eye-tracking tasks and problems which hold back the development of the low-cost eye-tracking system. special attention in the manuscript is given to recommendations for further research in the field of eye-tracking devices in the low-cost field.
미국의 중국어 교육 발전 과정과 특징에 관한 소고 －정책과 현황을 중심으로－

The international status and power of a country’s language may change, so that this global age has witnessed many changes occur in the international language environment. It is about time to check and reappraise the direction and development of Korea’s foreign language education policy amid these changes. As all countries have different national sentiments and development backgrounds, their foreign language policies differ from one another. Nevertheless, since the foreign language policy changes and develops according to the government’s development plans or the needs of the times and the society, research on other countries’ Chinese language education policies can provide good references and criteria for revaluating Korea’s Chinese language policy. This study intends to provide suggestions for the development of Chinese language education in Korea and the establishment of related policies, based on the historical development, current conditions, and characteristics of Chinese language education in the US. To this end, this study examined how Chinese language education in the U.S. has been provided under the foreign language policies towards China, which is in a trade war with the U.S., whose first language is the most influential global language.