Reviewerly/exHarmony huggingface dataset:
A New Approach Combining Trained Single-view Networks with Multi-view Constraints for Robust Multi-view Object Detection and Labelling

We propose a multi-view framework for joint object detection and labelling based on pairs of images.The proposed framework extends the single-view Mask R-CNN approach to multiple views without need for additional training.Dedicated components are embedded into the framework to match objects across views by enforcing epipolar constraints, appearance feature similarity and class coherence.The multi-view extension enables the proposed framework to detect objects which would otherwise be mis-detected in a classical Mask R-CNN approach, and achieves coherent object labelling across views.By avoiding the need for additional training, the approach effectively overcomes the current shortage of multi-view datasets.The proposed framework achieves high quality results on a range of complex scenes, being able to output class, bounding box, mask and an additional label enforcing coherence across views.In the evaluation, we show qualitative and quantitative results on several challenging outdoor multi-view datasets and perform a comprehensive comparison to verify the advantages of the proposed method.
LAMAN WEB SEBAGAI HWO (HOME WORK ONLINE) DALAM E-LEARNING

This research aims to develop and create an innovation in the world of education, namely the use of WEB pages that are used as online PR media. This research method uses research and development methods. The results in this study are found that the WEB page is very innovative when used as a medium in online homework, because teachers can monitor students who are learning or not. The novelty in this study is that the use of WEB pages as a homework media or homework has not been used in Indonesia. In this WEB page students cannot see the answers of other students, because this WEB system is confidential. One student has their own identification number to access this WEB, so it allows students to not be able to see their friends' answers. In addition, parents can monitor student learning activities while at school and their grades directly through the WEB. And can be done clinics between teachers and parents of students when students at school make mistakes.
The Distributed Representation of Knowledge Graphs Based on Pseudo-Siamese Network

Abstract This paper proposes to transform the (head entity, relation) and tail entity into the same feature space through the Pseudo-Siamese network, and calculate the similarity between the two parts in this feature space, embedding vector of entity and relation have been optimization for constraint conditions.In this paper, the triple is regarded as the abstraction of the answer pair in the factual simple question-answering. According to the corresponding relation of the answer, the corresponding relation between the (head entity, relation) and the tail entity in the triple is obtained, and the constraint characteristics of the elements in the triple are modeled. And then by constructing inverse relations to build a new triple, thus the number of training samples is expanded to improve the learning results of the model.
Intelligent Management of Chemical Industry Parks Based on Big Data

Big data technology has become a hot research area and has expanded into the field of public safety. Public safety big data uses satellite data for large-scale detection, aerial data for regional abnormality inspections, and ground sensor data for abnormal target positioning, which can realize the prediction and early warning of public safety events. This article focuses on the application of skyland big data in the chemical park, and builds the chemical industry park’s personnel management system, vehicle management system, perimeter management system, and fire accident warning system. The construction of a big data system application demonstration in the chemical park assists the construction of the park. Become a smart chemical park.
Non-structured Pruning for Deep-learning based Steganalytic Frameworks

Image steganalysis aims to discriminate innocent cover images and those suspected stego images embedded with secret message. Recently, increasing advanced deep neural networks have been proposed and used in image steganalysis. Though those deep learning models can gain superior performance, they also result in redundancy of computational resource and memory storage. In this paper, we apply a non-structured pruning method to prune XuNet2 and SRNet - the two state-of-the-art deep-learning framework in the field of JPEG image steganalysis. We obtain the priorities of the connections among neurons according to a certain criterion, then keep those significant weights and prune those nonsignificant ones in the meantime. We have conducted extensive experiments on BOSSBase and BOWS image dataset. The experimental results demonstrate that our proposed non-structured pruning method can significantly reduce the cost of computation and storage required by the original deep-learning frameworks without affecting their detection accuracy.
Design of Internship Information Systems Using Prototyping Method in PT. Gramedia Asri Media

Human Resources (HR) is one of the important things that determines the success of the services of a company, one of the things done to prepare a good HR is to launch a program of Job Training (PKL) or also known as an internship. PT.Gramedia Asri Media became one of the companies implementing the internship program, but the existing internship program was still carried out manually by distributing information to tertiary institutions via email. This journal aims to create an apprenticeship information system design by developing a system using the prototyping method so that the apprenticeship process can be carried out in a single system from the dissemination of information to the resolution of administrative problems related to finance and the need for an apprenticeship approval document. The system development method used therein is the prototyping method that starts from analyzing user needs to creating a User Interface (UI) that is easily understood by the user. The apprenticeship information system is expected to make the apprenticeship process more effective both in registering and processing the internship data contained therein.
SURVEY ON DATA SECURITY ISSUES RELATED TO MULTI-USER ENVIRONMENT IN CLOUD COMPUTING

Usage of Multi-user Environment services leaves traces of the client data on different servers (passwords, keys etc.). Since, most of the cloud servers use virtualization technology, it is difficult to find the co-resident virtual machine attacks in the private and public cloud systems. This was the great risk for the client accessing the multi-user environment services, with the leakage of their confidential information. So several memory reconstruction mechanisms are their by examine those mechanisms and develop a mechanism to only authorized person can access the confidential data. This paper introduces an overview of cloud data replication issues, data security issues and cloud attacks in the multi-user cloud computing environment. Hence, It is necessary to decrease the server maintenance cost by migrating the cloud users sensitive data in a secured framework for future reference.
PENENTU PENYEBAB KEMATIAN DI RSUD PANEMBAHAN SENOPATI BANTUL : MISCODING BERDAMPAK PADA LAPORAN STATISTIK KEMATIAN

The doctor's explanation of the cause of death form contains the sequence of the disease that caused the patient to die.The determination of the underlying cause of death (UCOD) has been standardized by the WHO.The right UCOD supports decision-makers and health policy, but much of the information is inaccurate, thus affecting death reports.This study aims to measure the quality of UCOD and miscoding in Panembahan Senopati Bantul District Hospital.This research is descriptive.Retrieval of data using observation checklist, interviews and study of medical records of patients and death certificates for the 2018 period were 120 sheets.The results of the UCOD quality analysis are not possible 46 (38%), improper UCOD 39 (33%), there are multiple unrelated conditions reported in one row 15 (13%), there is one condition that is reported as 12 (10%) and UCOD is not specific 8 (7%).A total of 55 diagnoses were reported as UCOD.The highest classification of diagnoses was in the Certain infectious and parasitic diseases group 10 (18%), the Sign group, symptoms, Abnormal Finding were 9 (16%) and the Diseases of the circulatory system group 8 (15%).374 diagnoses reported in the letter meet the exact coding category (55) and incorrect (311).The results of the interview with the UCOD determination coder are not according to WHO, due to the lack of understanding of the rule and UCOD determination so that it can affect the quality of death reports.
Implementasi GPS (Global Positioning System) Pada Presensi Berbasis Android DI BMT Insan Mandiri

Attendance is a document that represents each employee at the company or representative. Some of the challenges experienced by KSPPS BMT INSAN MANDIRI are marketing that is difficult to carry out attendance when coming out of the office because of increased marketing activities that are directly related to members / out-of-office expenses. Therefore the researcher got findings to solve the problem that occurred by making an Android-based online attendance application that can be connected directly with the sarver provided by the office. This application is equipped with the introduction of security and the use of manipulations made by employees, and this application is equipped with monitoring features so that marketing managers and managers can set marketing positions in realtime. In this study, researchers used HTML and PHP programming languages for web applications that use presence servers / data centers, webside uses Google map APIs to obtain marketing positions, and presence reports can be purchased from the webside. The hope of this research is that the online android mobile attendance application with face recognition security can run well and meet the needs of the KSPPS BMT INSAN MANDIRI.
PENDETEKSIAN DINI TINGKAT KEMANAN INFORMASI BERBASIS ISO 27001 : 2013 MENGGUNAKAN METODE AHP (ANALYTICAL HIERARCHY PROCESS)

Information is one of the important assets for the survival of an organization / business, defense security and the integrity of the country, public trust between consumers, so that the availability, accuracy and integrity must be maintained, or commonly abbreviated as CIA (Confidentiality, Integrity &amp; Availability). ISO 27001 is an information security standard published in October 2005 by the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC). However, until now there has been no tool for companies in Indonesia to do a pre-assessment of the level of information security. Plus the lack of socialization of the rules and the lack of ISO 270001 expert in Indonesia, these are reason why the authors conducted this research. The author begins research by collecting data, by studying literature and interviewing experts to identify problems. After that, in its implementation, this research will be directed (knowledge acquisition) and reviewed directly by an ISO 27001 expert from The British Standard Institution of the United Kingdom (BSI) so that the results are more accurate. After that, the writer determines the weighting method (decision making), scoring method, system development method, and simulation method (testing). The results of the study are in the form of pre-assessment to evaluate the information security assessment index, which will be displayed according to indicators pioneered from ISO 27001: 2013 using AHP (Analytical Hierarchy Process) decision-making methods, as well as web-based making it easier to review.
Bibliometric Research as a Subject of Copyright in the Activities of Scientific Libraries

It has been stated in the article that the development of scientific communication contributes to extending the role of scientific libraries, in which the professional competence of librarians is related to their knowledge of metadata and experience of working with large collections of documents. One of the tasks of the modern scientific library is to ensure completeness of search, quality of collection, selectivity of processing, reliability of storage, promptness of spreading information. The results of this professional activity can be transformed into intellectual property objects. Library professionals use bibliometric research methods to help them solve their professional tasks, which help in decision-making when purchasing magazines and databases; in library fund analysis; study of publications; researching statistics on the use of electronic documents. It is revealed that in recent decades, bibliometry has become a standard tool for scientific policy and research management in various fields of science. Bibliometry covers such research methods as citation analysis; analysis of reference journals; analysis of quantitative characteristics of primary documents; quantitative analysis of publications of individual authors and their citation; quantitative analysis of scientific publications of particular countries of the world, states, and certain teams of scientists; theoretical issues, including the study of patterns of growth, aging and rank distribution of scientific documents; content analysis of scientific documents; other issues related to spreading scientific documents. Such research requires library staff of creative ability and professional competence. Today’s means of social communication define the new tasks for libraries, the activities of which are related to intellectualization of the library sphere. The results of bibliometric research may be subject to copyright, provided that they meet the criteria of safety, have signs of creativity and novelty.
Detection of Grid-Shaped Mosaic Regions through Geometric Filtering from Social Video Data

This paper proposes an algorithm that accurately detects the grid-shaped mosaic region used to cover certain regions of video data based on edge projection.The proposed algorithm first detects Canny edges from the image and detects candidate regions of the mosaic using horizontal and vertical line edge projection.The actual mosaic regions are then finally detected by filtering candidate regions of the mosaic using geometric features.Experimental results show that the proposed algorithm detects the area corresponding to the mosaic block more accurately than the other detection methods from various input images.
Rule Insertion Technique for Dynamic Cell Structure Neural Network

This paper discusses the idea of capturing an expert’s knowledge in the form of human understandable rules and then inserting these rules into a dynamic cell structure (DCS) neural network. The DCS is a form of self-organizing map that can be used for many purposes, including classification and prediction. This particular neural network is considered to be a topology preserving network that starts with no pre-structure, but assumes a structure once trained. The DCS has been used in mission and safety-critical applications, including adaptive flight control and health-monitoring in aerial vehicles. The approach is to insert expert knowledge into the DCS before training. Rules are translated into a pre-structure and then training data are presented. This idea has been demonstrated using the well-known Iris data set and it has been shown that inserting the pre-structure results in better accuracy with the same training.
ANALISIS WACANA HATE SPEECH DALAM LIVE STREAMING YOUTUBE LIGAGAME E-SPORTS TV

Technological development on online communication was creating various communication on the internet, one of them is live streaming features on Youtube. Communication variation on the internet still has a problem, one of them is the existence of hate speech on the comment section in live streaming Youtube of Ligagame eSports TV Youtube Channel. Theory of Discourse from Ernesto Laclau and Chantal Mouffe become guidelines to analyze the discourse formed from caster so that appeared hate speech from audience comment, which that hate speech divided into some type of cyberbullying. To analyze that, the researcher does observation or directly observe when live streaming been held and interview part of Kominfo Salatiga as a data triangulation. The result of the research shows that delivery like anything brought by the caster in streaming would still bring up hate speech comment from the audience, and a caster can react with the reply the hate speech argument from the audience, offer a solution to stop hate speech from appearing, or just ignore that comment.Keywords: Hate Speech, Caster, Discourse, Youtube, Cyberbullying.
A STUDY ON INDONESIAN TEACHERS’ USE OF TECHNOLOGY IN ENGLISH LANGUAGE TEACHING

Since 1960, technology has been used as one of educational tools to help teachers in teaching learning process. In the context of foreign language teaching, technology is utilized for various reasons and purposes. A questionnaire was distributed to 150 English as foreign Language (EFL) teachers in West Java to investigate the use of technology in their EFL classroom. Specifically, this paper reports the type of technology which teachers usually use in teaching English and also elaborate the reasons why teachers apply technology in their classrooms. Finally, this paper explores teachers’ attitudes on the use of technology in language teaching.
Reading Theories and Reading Comprehension; Review and Discussed

Abstract. In this article, several reading theories need to be reviewed in their relationships to read understanding educators and English lecturers. Three other Reading Models, Bottom-Up, Top-Down, and Interactive, are discussed in the Schema Theory at the theoretical stage. The history of reading training, kinds and purposes of reading, and cognitive reading abilities will be discussed in checking the reading understanding. Finally, it reviews six variables that are engaged in understanding English texts.Keywords: comprehension, models of reading, schema theoryAbstrak. Dalam artikel ini, beberapa teori bacaan perlu ditinjau dalam hubungannya untuk membaca pemahaman para pendidik dan dosen bahasa Inggris. Tiga Model Membaca diantaranyamodel Bottom-Up, Top-Down, dan Interactive dibahas dalam Schema Theory pada tahap teoretis. Rentetan uji coba, jenis dan tujuan membaca, serta kemampuan membaca kognitif dibahas dalam memastikan pemahaman membaca. Akhirnya, terdapat review terhadap enam variabel yang terlibat dalam memahami teks bahasa Inggris.Kata kunci: membaca, model membaca, teori schema
Internet of Thing (IoT) to Enhance Knowledge Sharing between Faculties, Best Practice and Proposed Modified Systems for Middle East and Gulf Region Area

The sharing of knowledge has made it easier for organizations to leverage and maximize on the dissemination and exchange of information between individuals.Modern technological advancements have further impacted positively on the sharing of knowledge through the integration of Internet of Things (IoT).The integration between the existing forms of knowledge sharing and IoT portend to offer inclusive and effective ways of knowledge management in organizations.By making a focus on the Middle East region, as well as the entire Gulf region, the study analyzed the existing materials regarding knowledge sharing and IoT within the region.The significance of such review is that it provides a basis for understanding how IoT has been utilized in the Middle East to enhance the processes of sharing knowledge in businesses.These discussions have further been used to come up with a model for knowledge sharing with reference to the faculty at the university to create a competitive advantage in comparison with the other surrounding universities.Based on the study findings, a model has been recommended to aid in the process of rolling out an effective means of knowledge sharing while using IoT.
High Performance Algorithm and Computing Analysis Software of DEM Based on GPU Parallel Algorithm

Taking the DEM as the main approach, computational granular mechanics has been widely applied in geotechnical engineering, chemical process, geological disaster, mining engineering, marine engineering, agricultural engineering, mechanical engineering, atmospheric science, medical pharmacy, life science and other fields, and obtained many important research results. With the increasing particle types and combination with traditional numerical methods such as computational solid mechanics and computational fluid dynamics, the DEM has been gradually extended to the material damage and fracture, fluid-structure interaction and other fields. Meanwhile, it also provides a powerful approach to solve the granular mechanics problems in the natural ecology, industrial engineering and life sciences. With the development of computational mechanics of granular materials, the corresponding simulation software have been gradually developed and applied to different engineering fields, which have become an effective means to solve the granular materials problems.
The Gridlock-Proof Functionality in Real Time Gross Settlement Systems

The last two decades of the XX century marked the starting point for the central banks across the globe to move their payment and settlement systems into Real Time Gross Settlement (RTGS) mode.Despite the fact that RTGS systems can effectively eliminate the credit exposure between the paying bank and the receiving bank at the interbank level by means of fast final and irrevocable money transfer, there is another serious problem associated with these systems.RTGS systems turned out to be liquidity-demanding arrangements, as opposed to deferred net settlement systems.Thus, the efficiency of liquidity management arrangements is the precondition of smooth RTGS operation, especially in tough times when liquidity is a systemic shortage.If liquidity management is inefficient, the RTGS system may stop operating properly by terminating in the grid-lock state brining chaos to the national economy.In this research we suggest the practical approach to solve the problem of seeking the maximization of aggregate value of payment instructions under liquidity shortage, including the most severe scenarios.The classification of the RTGS queue statuses is suggested and discussed.Some complementary results are articulated, including: (a) the statement that the formal mathematical optimization problem lies in the NP class of the computational complexity (the class of problems solved in polynomial time by nondeterministic Turing machine); (b) the equivalence between MaxFlow-MinCost problem (from the network flow theory) and the dual linear problem of the linear program relaxation of the initial optimization problem; (c) the illustration that no optimization strategy, other than the suggested one, can deliver substantially better optimization results.Despite enormous efforts, there were no previous research results reasonably claiming the near optimality of liquidity optimization strategy in RTGS systems under severe liquidity shortages.The results of this research may help the central banks and other RTGS system operators to ensure the protection of their payment systems from future liquidity crises and bring the resilience of respective national economies to the next level of sustainability.