Reviewerly/exHarmony huggingface dataset:
In Defense of Scene Graphs for Image Captioning

The mainstream image captioning models rely on Convolutional Neural Network (CNN) image features to generate captions via recurrent models. Recently, image scene graphs have been used to augment captioning models so as to leverage their structural semantics, such as object entities, relationships and attributes. Several studies have noted that the naive use of scene graphs from a black-box scene graph generator harms image captioning performance and that scene graph-based captioning models have to incur the overhead of explicit use of image features to generate decent captions. Addressing these challenges, we propose \textbf{SG2Caps}, a framework that utilizes only the scene graph labels for competitive image captioning performance. The basic idea is to close the semantic gap between the two scene graphs - one derived from the input image and the other from its caption. In order to achieve this, we leverage the spatial location of objects and the Human-Object-Interaction (HOI) labels as an additional HOI graph. SG2Caps outperforms existing scene graph-only captioning models by a large margin, indicating scene graphs as a promising representation for image captioning. Direct utilization of scene graph labels avoids expensive graph convolutions over high-dimensional CNN features resulting in 49% fewer trainable parameters. Our code is available at: this https URL
Real Robot Challenge using Deep Reinforcement Learning.

This paper details our winning submission to Phase 1 of the 2021 Real Robot Challenge, a challenge in which a three fingered robot must carry a cube along specified goal trajectories. To solve Phase 1, we use a pure reinforcement learning approach which requires minimal expert knowledge of the robotic system or of robotic grasping in general. A sparse goal-based reward is employed in conjunction with Hindsight Experience Replay to teach the control policy to move the cube to the desired x and y coordinates. Simultaneously, a dense distance-based reward is employed to teach the policy to lift the cube to the desired z coordinate. The policy is trained in simulation with domain randomization before being transferred to the real robot for evaluation. Although performance tends to worsen after this transfer, our best trained policy can successfully lift the real cube along goal trajectories via the use of an effective pinching grasp. Our approach outperforms all other submissions, including those leveraging more traditional robotic control techniques, and is the first learning-based approach to solve this challenge.
Reference management training at the postgraduate program of State Islamic Institute of Samarinda

The purpose of the community service is to provide reference management training for postgraduate of State Islamic Institute of Samarinda. The training method used is direct practice in the classroom using three reference management software, namely Endnote, Mendeley, and Zotero. This activity was attended by 16 postgraduate students and they followed with great enthusiasm. After the training, the knowledge and abilities of postgraduate students experienced a significant increase and were committed to using the software in writing scientific papers.
SISTEMATIK REVIU TENTANG KECENDERUNGAN PERILAKU CYBERBULLYING DI KALANGAN REMAJA (SYSTEMATIC REVIEW OF THE TRENDS OF CYBERBULLYING BEHAVIOR IN ADOLESCENTS)

ABSTRACTCyberbullying is a behavior that can disturb others, this behavior almost occurs in adolescents aged 14-17 years The purpose of this systematic review is to synthesize trends in cyberbullying behavior among adolescent systematic reviews. This review was conducted by reviewing 26 articles from the Research Gate database source, SINTA, Sematic Scholar, DOAJ, Academia, CiterSeerX Google Scholar, Dergi Park, Springer. The author uses PICOSS (Population, Intervention, Comparators, Outcome Variables, Study Design and Setting) tables that are used to determine the inclusion, exclusion, detailed, clear and relevant criteria related to key components of the systematic review question. The findings of this study are that most of the trends in cyberbullying behavior from each journal can be synthesized into several cyberbullying behavioral tendencies such as spreading lies, sending messages or threats, imitating or acting on behalf of someone.Keywords : Behavior, Cyberbullying Tendencies, Teenagers ABSTRAKCyberbullying merupakan perilaku yang dapat menganggu orang lain, perilaku tersebut hampir terjadi pada remaja umur 14-17 tahun. Tujuan dari sistematik review ini adalah mensintesakan kecenderungan perilaku cyberbullying di kalangan remaja sistematik review ini dilakukan dengan cara mereview 26 artikel yang berasal dari sumber database Research Gate, SINTA, Sematic Scholar, DOAJ, Academia, CiterSeerX Google Scholar, Dergi Park, Springer. Penulis menggunakan tabel PICOSS (Population, Intervention, Comparators, Outcome Variables, Study Design and Setting) yang digunakan untuk menentukan kriteria inklusi, eksklusi yang terperinci, jelas dan relevan berhubungan dengan komponen kunci dari pertanyaan peninjauan sistematis. Temuan dari penelitian ini adalah sebagian besar kecenderungan perilaku cyberbullying dari masing-masing jurnal dapat di sintesakan menjadi beberapa kecenderungan perilaku cyberbullying seperti menyebar kebohongan, mengirim pesan atau ancaman, meniru atau mengatasnamakan seseorang.Kata Kunci : Perilaku, Kecenderungan Cyberbullying, Remaja
Pedestrian Attribute Recognition using Gabor Wavelet Layers

We address the problem of Pedestrian Attribute Recognition (PAR) in this paper. Owing to the presence of surveillance cameras in almost all outdoor and indoor public spaces, keeping and eye on pedestrian is a sought-after task with many useful applications. The problem entails recognizing attributes such as age-group, clothing style, accessories, footwear style etc. This is a multi-label problem and challenging even for human observers. We propose using a convolution neural network (CNN) with trainable Gabor wavelets (TGW) layers. The proposed layers are learnable and adapt to the dataset for a better recognition. The proposed multi-branch neural network is a mix of TGW and convolutional layers and we show its effectiveness on a public dataset.
Application Of K-Means Clustering Algorithm On Population Growth In Simalungun Regency

Population growth is a condition when the population increases from previous years. Population growth has several variables, namely birth, death and migration rates. Positive population growth indicates an increase in population and vice versa. Population growth is caused by a high birth rate with a decrease in the death rate. The high rate of population growth and occurs in a fast period of time is what triggers a population explosion which is closely related to an increase in poverty, unemployment, crime, slum settlements, hunger and other social problems. An increase in the poverty rate occurs when high population growth is not matched by good economic growth accompanied by equitable distribution of income. An increase in unemployment occurs if the increase in population with reduced availability of adequate employment can lead to an increase in criminal cases. By knowing these problems, Data Mining is needed to classify aid receipts, build jobs. by using the K-Means method in clustering the population growth rate. The K-Means method can assist the Government in making decisions and the information needed to solve the problem of population growth and record all densely populated areas in an appropriate way.
Immersion analysis during gameplay in VR and on a PC

This article concerns the study of immersion and human behavior while in a virtual reality (VR) world. It was compared with the behavior of participants during the traditional process of watching the image displayed on a LCD monitor. The study was conducted on the original test stand and the following vital signs were measured: pulse rate and stress. Additional data about the participants were collected by conducting a questionnaire concerning, among others, feelings and well-being during the game. The obtained results clearly show that VR gameplay provides much more emotions to the participants. It also makes them able to forget that they are in a virtual world regardless of whether they have used a VR generating device before or not. These results will determine the impact of immersion on gameplay appeal and player engagement.
A NARRATIVE INQUIRY STUDY ON TEACHING READING USING AUTHENTIC MATERIALS

&lt;p&gt;This study investigates in-service English teachers’ voices toward the use of authentic materials in teaching reading and the challenges in using the materials. A narrative inquiry study is employed in which the data were qualitatively collected through interview and documentation process. This study was conducted at one of the Private Junior High Schools in Bogor, Indonesia. An in-service English teacher was chosen as a participant who participated in the process of collecting data through structured interviews by audio recording. The result of this research shows that an in-service English teacher have positive perceptions toward the use of authentic material in teaching reading. Various positive reasons and challenges for the use of authentic materials in the classroom were revealed.&lt;/p&gt;
Rancang Bangun Aplikasi E-Learning di LBB Primagama Malang dengan Implementasi Konsep Gamifikasi

Recently, e-learning as a learning media has been developed rapidly. But students have lack of interest to learn. We develop e-learning system with gamification concepts to solve that problem. Gamification concepts that implemented to the system includes point, badge, reward, and leaderboard. We also implement gamification element such as game mechanic, game design, and game thinking. The system tested to the students and got improvement 81,60% for interest to learn.
PENGGUNAAN SISTEM INFORMASI UNTUK PENDATAAN PEREMPUAN SEBAGAI KEPALA RUMAH TANGGA DI PW FATAYAT NU JAWA TIMUR

Fatayat NU is NU's autonomous body for young women, therefore, Fatayat NU cares about women. The Head of the Fatayat NU East Java Region, who is part of the Fatayat NU organization in the East Java region, was moved to provide assistance to women who were heads of households who were economically affected during the pandemic due to the spread of the COVID-19 virus. PW Fatayat NU East Java collected data on these women by utilizing technology in the form of a web-based information system that can be accessed from anywhere and anytime. By using this information system, data duplication can be avoided because there are rules in the system that lock data based on the entered NIK
Application of Neural Network in Letter Recognition Using the Perceptron Method

Modeling with neural networks is the learning and adjustment of an object. The perceptron method is a learning method with supervision in a neural network system. In designing a neural network that needs to be considered is the number of specifications that will be identified. A neural network consists of a number of neurons and a number of inputs. To identify some letters, it takes several neurons to distinguish them. These neurons will generate a combination value that is used to identify the letters. so that the resulting network must have parameters that can be set by changing through the rules of learning with supervision.
West Balkan Mineral Register of Primary Raw Materials

Rational and long-term planning and sustainable mineral resources management is of strategic importance in Europe’s efforts to secure the self-supply of mineral raw materials. European mineral data is organized and accessible within the pan-European Minerals Intelligence Network. Most EU countries are part of this network, while the West Balkan region presents a gap in this regard. A common West Balkan mineral register needs to be established in order to close the gap and bring the area closer to the EU market. Including the region into the network would provide new opportunities to local industry and improve mineral management at the national and regional level. In this context, the Geological Survey of Slovenia is working in cooperation with numerous partners and stakeholders in different projects within the framework of European initiatives and programs. We collected and properly organized relevant data on minerals in the region according to the INSPIRE Directive. This paper describes the creation of the West Balkan Mineral Register of primary raw materials, and its content.
SISTEM INFORMASI AKUNTANSI PENGENDALIAN INTERN TERHADAP PERSEDIAAN BAHAN BAKU (Studi Kasus Pada PT. Geomed Indonesia)

&lt;p&gt;&lt;em&gt;This study was conducted in PT. Geomed Indonesia. The purpose of this study are : (1) To find out the method of recording raw material inventory system at PT. Geomed Indonesia, (2) To find out the procedures that make up the raw material inventory system at PT. Geomed Indonesia, (3) To find out the elements of internal control contained in the accounting system for raw material inventories at PT. Geomed Indonesia, (4) To find out whether the internal control accounting information system for raw material inventories is effective enough for the company. The method of research analysis used is desccriptive qualitative method, with research data sources using primary data and secondary data obtained through interview techniques, observation and literature review. The basoc of the informant principle in this study is 3 people.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;From the results of study indicate that the internal control accounting information system carried out is quite good because there already is a task separator, manual and computerized recording and supervision of the leadership. However, it is necessary to add the Receiving function within the company to ensure that internal control accounting information system is carried out properly.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keyword : &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;Accounting System, Inventory, Raw Materials&lt;/em&gt;&lt;/p&gt;
End-to-End Unsupervised Document Image Blind Denoising

Removing noise from scanned pages is a vital step before their submission to optical character recognition (OCR) system. Most available image denoising methods are supervised where the pairs of noisy/clean pages are required. However, this assumption is rarely met in real settings. Besides, there is no single model that can remove various noise types from documents. Here, we propose a unified end-to-end unsupervised deep learning model, for the first time, that can effectively remove multiple types of noise, including salt \& pepper noise, blurred and/or faded text, as well as watermarks from documents at various levels of intensity. We demonstrate that the proposed model significantly improves the quality of scanned images and the OCR of the pages on several test datasets.
Multi-scale Local Difference Directional Number Pattern for Group-housed Pigs Recognition

In this paper, a multi-scale local difference directional number (MLDDN) pattern is proposed for pig identification.Firstly, the color images of individual pig are converted into grey images by the most significant bits (MSB) quantization, which makes the grey values have better discrimination.Then, Gabor amplitude and phase responses on different scales are obtained by convoluting the grey images with Gabor masks.Next, by calculating the main difference of local edge directions instead of traditionally edge information, the directional numbers of Gabor amplitude and phase responses are encoded.Finally, the block histograms of the encoded images are concatenated on each scale, and the maximum pooling is adopted on different scales to avoid the high feature dimension.Experimental results on two pigsties show that MLDDN impressively outperforms the other widely used local descriptors.
Effect of System Parameters on Phase Error of Focus-Free Digital Fringe Projection Profilometry System

AbstractDigital Fringe projection profilometry (DFPP) is a noncontact, robust and high-resolution system for 3D measurements. In DFPP system uniform fringe patterns are projected on the object surface. These patterns are deformed due to the object height distribution. Image of the deformed patterns is captured by CCD camera, then analyzed by one of fringe analysis techniques to obtain phase map, then unwrapped to get continuous phase map. Finally, a calibration step is done to transform from continuous phase map to X, Y, Z coordinates. Phase calculation is an important parameter that affects the accuracy of measurements. The main source of error in phase calculation is phase error due to nonlinear gamma effect of the system. This paper introduces an experimental investigation of the effect of system parameters (such as fringe intensity, fringe period, surface distance from the camera and projector and finally the ambient illumination) on phase error and system measurements. This work is carried out using a new type of projector. It is a laser projector has the advantage of focus-free projection. Experimental work and results are listed.
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency

Deep learning models for semantic segmentation rely on expensive, large-scale, manually annotated datasets. Labelling is a tedious process that can take hours per image. Automatically annotating video sequences by propagating sparsely labeled frames through time is a more scalable alternative. In this work, we propose a novel label propagation method, termed Warp-Refine Propagation, that combines semantic cues with geometric cues to efficiently auto-label videos. Our method learns to refine geometrically-warped labels and infuse them with learned semantic priors in a semi-supervised setting by leveraging cycle consistency across time. We quantitatively show that our method improves label-propagation by a noteworthy margin of 13.1 mIoU on the ApolloScape dataset. Furthermore, by training with the auto-labelled frames, we achieve competitive results on three semantic-segmentation benchmarks, improving the state-of-the-art by a large margin of 1.8 and 3.61 mIoU on NYU-V2 and KITTI, while matching the current best results on Cityscapes.
Web Application and Penetration Testing

In the present scenario, the usage of internet is enormous and is escalating day by day. Internet facilities are employed in almost every field of work and people are becoming depending on it, with the increasing dependency on the internet, concern regarding information security has been increased. Because most of the work, e-commerce, chatting, payment of the bill, etc. are work through over the internet. That is why security is most important for any website. Basically, such security concern is high in the field of organizations, institutions, and the financial sector. This paper aims to address the top most vulnerability concerns and how to overcome them. This paper addresses most of the popular vulnerabilities, which are amongst the top 10 according to OWASP and addresses the precautions to be taken to deal with these vulnerabilities. This paper provides a better understanding in a simple and easy way. When the entire world is behind new technologies and everything is moving towards the internet, the need for security increases. One has to be sure about the security of their website as well as the security and privacy of the end users. So, when the world is demanding for new technologies there will be an increase in demand for security testing. Every application or website is considered good only when it is secure and it can only be done by a web tester. This paper explores the vulnerabilities in a precise manner.
Book Metadata for an Open Access World

Most book and monograph publications still lack visibility within an electronic environment due to missing digitalized and persistent bibliographic data and/or fragmentary portability or interoperability based on the variety of formats, resulting in a more error-prone, non-standardized communication between various indexing systems and platforms. But books that cannot be discovered will not be read. OA metadata for books is essential for the transformation of the whole scholarly landscape, and one of its greatest advantages is full, immediate accessibility. 1 The point of origin for the OA META project was the realization that available book metadata (i.e. ONIX/MARC records) was not primarily created for the usage of indexing within an electronic research environment. Consequentially, both detail and focus of elements tagged in datasets are not necessarily selected to output solidified and persistent book records. The question was how to enrich or edit available metadata so that it can unfold its greatest impact in an e-context.
Analyzing Canadian PM Justin Trudeau’s Speech about Terrorist Attack on a Muslim Family in Ontario’s London: A Critical Perspective

Language considers a form of social practice in Critical Discourse Analysis, and it is frequently used in political discourse written, verbal and visual including public speeches. This paper examines the Prime Minister of Canada's press conference speech, held at the House of Commerce on June 8, 2021 (https://www.rev.com/blog, 2021), in the aftermath of a Muslim family's murder in Ontario's London. The Three-Dimensional Model of Fairclough has been used to investigate the implicit/explicit power displayed in PM Justin's speech, as well as the display of power at the textual, discursive, and societal levels, in the context of the speech's two key themes: anti-Muslim hatred and Islamophobia. The study examines speech using a qualitative approach and addresses power within the discourse as well as the power behind the discourse. The findings show how language reflects political leaders' ideologies and how social behaviors can shape and be shaped by speech. The Prime Minister skillfully employed language to convey the ideological divides between Muslim communities and the western communities. After drawing the line of demarcation, he urged world leaders to take steps to resolve their differences to achieve global harmony and peace. This study enables the general public to comprehend Justin Trudeau's position on prevalent intolerance and the ideology of Islamophobia, as well as its effects.
Peningkatan Kompetensi Aqidah Akhlak melalui Media Power Point Animation menggunakan Pembelajaran Direct Instruction

During the learning process, sometimes students feel bored and bored, one of the causes is the lack of innovation in classroom learning. So to overcome the boredom, then in this study used animation media from PowerPoint by using the Direct Instruction learning model. The purpose of this study is to look at the activeness of students' learning. The research method used is a type of classroom action research. The study was conducted in two cycles. The results of cycle 1 have not met the KKM that has been set, then the need for improvement in cycle II. The results obtained in cycle 1 are 60% while in cycle II the results obtained are 90%. So it can be concluded that the utilization of PowerPoint animation with direct instruction can improve students' learning competence in Aqidah Akhlak subjects in MIN 2 Aceh Tamiang.