Reviewerly/exHarmony huggingface dataset:
A secure reversible chaining watermark scheme with hidden group delimiter for WSNs

Chaining watermarks are considered to be one of the most practical methods for verifying data integrity in wireless sensor networks. But the synchronisation points (SPs) or the group delimiters (GDs), which are indispensable to keep the sender and receivers synchronised, have been the biggest bottlenecks of existing methods: 1) If the SPs are tampered, the false negative rate will be up to 50% and make the authentication meaningless; 2) The additional GDs are easily detected by adversaries. We propose a more secure reversible chaining watermark scheme, called RWC, to authenticate the data integrity in WSNs. RWC has the following characteristics: 1) Fragile watermarks are embedded in a dynamic grouping chaining way to verify data integrity; 2) Hidden group delimiters are designed to synchronise the sending and receiving sides in case of the SPs are tampered; 3) A difference expansion-based reversible watermark algorithm can achieve lossless authentication. The experimental results show that RWC can authenticate the sensory data with free distortion and significantly improve the ability to detect various attacks.
LibGuides: Online Academic Reputation Management: Grad Student Workshop: Other Platforms

Part 3 in the OGS Becoming a Strategic Scholar Series. This class invites graduate students to map, connect and leverage the various platforms that can document, shape, and convey their respective academic reputations.
OPPORTUNITY PENDIDIKAN: TRANSFORMASI DI ERA DISRUPSI DAN REVOLUSI INDUSTRI 4.0

ABSTRACT&#x0D; Disruption is an innovation. This is an innovation that will replace the entire old system with new ways. Disruption has the potential to replace old players with new ones. Disruption replaces old technology with digital technology that produces something completely new and more efficient and more useful. Whereas in the Industrial 4.0 era, machines and factories will be connected, exchange data, work together, and make independent decisions collectively. The Industrial Age 4.0 offers time and resource efficiency, cost savings, increased income, agility, and innovation for the industry. The old industry or incumbent will be replaced by a more efficient new-style industry. Therefore this disruption must be anticipated so that we can see new opportunities in the future. In the context of education—especially high education— as a printer of skilled human resources—must be prepared with 4 C skills (creativity, critical thinking, communication and collaboration) must be thoroughly prepared because in this sophisticated era humans will co-exist with smart machines at workplace. Education must change, if not, then in 30 years we will face a big problem. Everything we teach should be different from machines — everything that is taught must make humans different from machines. Humans as products of education, must still have ethics/morals—because religion is truly a source of value/ethics—which must be implemented through education (Islam) in this disruption era.&#x0D;
Postage Stamps and Digital Philately of North America

‘Postage stamps’, basically as a token for payment of postal taxes, are now being recognized as an information source and historical document in recording national achievements that visually convey four core elements: denomination, country name, graphical design, and the textual element. They are a valuable means of communication easily available anywhere to anybody. Realizing them as source of extra revenue, commemorative stamps are made available over time. The information technology (IT) wave changed the hobby of stamps collection to Digital Philately, while information and communication technology (ICT) developments accelerated the hobby further to Virtual Philately. This study focuses on the aspects of digital and virtual philately. This study aims to evaluate The World Association for the Development of Philately (WADP) Numbering System (WNS) database, which provides free access to authentic postage stamps issued by (North America Continent) member countries and territories. A total of 5491 stamps with 45 themes were found registered by 13 countries the highest number of countries, United States of America 1708(31.11), was observed to be the most popular theme at Fauna590 (10.74%), For North America stamps. This study also presents a detailed analysis of the 5491 North America Continent stamps.
Empirical Hypothesis Space Reduction

Selecting appropriate regularization coefficients is critical to performance with respect to regularized empirical risk minimization problems. Existing theoretical approaches attempt to determine the coefficients in order for regularized empirical objectives to be upper-bounds of true objectives, uniformly over a hypothesis space. Such an approach is, however, known to be over-conservative, especially in high-dimensional settings with large hypothesis space. In fact, an existing generalization error bound in variance-based regularization is $O(\sqrt{d \log n/n})$, where $d$ is the dimension of hypothesis space, and thus the number of samples required for convergence linearly increases with respect to $d$. This paper proposes an algorithm that calculates regularization coefficient, one which results in faster convergence of generalization error $O(\sqrt{\log n/n})$ and whose leading term is independent of the dimension $d$. This faster convergence without dependence on the size of the hypothesis space is achieved by means of empirical hypothesis space reduction, which, with high probability, successfully reduces a hypothesis space without losing the true optimum solution. Calculation of uniform upper bounds over reduced spaces, then, enables acceleration of the convergence of generalization error.
Example: Document Store Development

Now that we have a firm foundation in JSON and we have seen how to use MySQL Shell to develop relational database code, we are ready to begin writing a NoSQL version of the sample application.
Minimal Unique Substrings and Minimal Absent Words in a Sliding Window

A substring $u$ of a string $T$ is called a minimal unique substring (MUS) of $T$ if $u$ occurs exactly once in $T$ and any proper substring of $u$ occurs at least twice in $T$. A string $w$ is called a minimal absent word (MAW) of $T$ if $w$ does not occur in $T$ and any proper substring of $w$ occurs in $T$. In this paper, we study the problems of computing MUSs and MAWs in a sliding window over a given string $T$. We first show how the set of MUSs can change in a sliding window over $T$, and present an $O(n\log\sigma)$-time and $O(d)$-space algorithm to compute MUSs in a sliding window of width $d$ over $T$, where $\sigma$ is the maximum number of distinct characters in every window. We then give tight upper and lower bounds on the maximum number of changes in the set of MAWs in a sliding window over $T$. Our bounds improve on the previous results in [Crochemore et al., 2017].
A Performance Evaluation of Correlated and Dynamic Topic Modeling on a QA Dataset

Topic modeling is a set of algorithms which is used to mine the data that is hidden inside a large collection of documents. In this paper we discusses about the Correlated topic modeling and dynamic topic modeling in detail and comparing their performance on a question answer dataset based on autism. Log Likelihood and Perplexity are the measures used for comparing the discussed topic modeling algorithms.
Arsitektur Jaringan Komputer Berbasis Framework Togaf-Adm Menggunakan Proses NDLC

One factor for the achievement of the objectives of the concept of learning in the management of modern education is to utilize information technology that is supported by a reliable computer network architecture. In this research, the method of designing a computer network architecture is based on the 4 stages of the TOGAF-ADM Framework, namely vision architecture, business architecture, information systems architecture (data architecture and application architecture) and technology architecture. Then the system implementation uses the Network Development Life Cycle (NDLC) process which consists of analysis, design, simulation prototyping, implementation, monitoring, management and ending with an evaluation of computer network development. From the trial results, it is obtained that by using load balance technology and microtic device support, sending and receiving data packets is now faster and more stable because the communication lines have been segmented and the data collision in the network is resolved. The new network implementation successfully stabilized upload and download data speeds, overcoming limited connections and 0% packet loss.
VALUE ORIENTATION IN EDUCATION: PROSPECTS AND CHALLENGES

Values are those characteristics of human beings that provide them motivation and guidance throughout their lives. It is considered as the guiding principles of life that govern behaviour at the core of the personality. Today there is almost a public debate on the erosion of values. Newspapers, magazines and other news media are flooded with the news of immoral and criminal activities which are creating serious threats for the smooth survival of mankind. There is a general feeling that our present system of education is not quite effective in inculcating the right values among the young generation. It is becoming more materialistic day by day and value traditions are being slowly given up. Education is a powerful instrument of social change and human progress.  Value orientation in education means inculcation of discipline, a sense of humanism and a deep concern for the well-being of others and the nation among the students. Value orientation in education is seeks to nurture ethical development, including the values, attitudes, and skills required for living in harmony with oneself and with others, including nature. Incorporating Value orientation in Education will result in growth of character, growth in virtues like self-control, tolerance, selfless service, practice of prayer, harmony, to love all people, to help them in need & respect them etc. In this paper, an attempt has been made to conceptualize the value orientation in education, its prospects and challenges. The methodology of this paper is descriptive and required informations are collected from different secondary sources like books, research articles, different government documents etc.
Penggunaan Metode Diskusi Mata Pelajaran PKN dalam Meningkatkan Kemampuan Mengeluarkan Pendapat pada Siswa Kelas V SD Inpres Daeo Kecamatan Morotai Selatan

This research is a research on the use of discussion method which aims to study the use of discussion methods in fifth grade students of SD Inpres Daeo Kec. Selatan Morotai. This type of research is a type of descriptive qualitative research that discusses the application of learning by the method of discussion. Why this method teaches learning in problems that occur in learning by way of discussion about learning solutions most students think about learning that involves activities that involve many students who think sitting in the classroom like a meeting place. Therefore designing a learning process that satisfies students is one aspect of the environment that provides guidance that provides a sense of security in the learning process in class. The role and supervision of the teacher in the learning process by using the method of discussion and giving encouragement and motivation to students to learn is a very important factor in order to achieve learning objectives. After the teacher uses the discussion method so that the fifth grade students of SD Inpres Daeo are able to express their opinions.
Encoders and Decoders for Quantum Expander Codes Using Machine Learning

Quantum key distribution (QKD) allows two distant parties to share encryption keys with security based on laws of quantum mechanics. In order to share the keys, the quantum bits have to be transmitted from the sender to the receiver over a noisy quantum channel. In order to transmit this information, efficient encoders and decoders need to be designed. However, large-scale design of quantum encoders and decoders have to depend on the channel characteristics and require look-up tables which require memory that is exponential in the number of qubits. In order to alleviate that, this paper aims to design the quantum encoders and decoders for expander codes by adapting techniques from machine learning including reinforcement learning and neural networks to the quantum domain. The proposed quantum decoder trains a neural network which is trained using the maximum aposteriori error for the syndromes, eliminating the use of large lookup tables. The quantum encoder uses deep Q-learning based techniques to optimize the generator matrices in the quantum Calderbank-Shor-Steane (CSS) codes. The evaluation results demonstrate improved performance of the proposed quantum encoder and decoder designs as compared to the quantum expander codes.
A SINTAXE DOS PRONOMES CLÍTICOS NO PORTUGUÊS FALADO EM FEIRA DE SANTANA-BA: UMA COMPARAÇÃO COM O PORTUGUÊS LUANDENSE

For the development of this research, the theoretical and methodological framework of Variationist Sociolinguistics (WEINREICH; LABOV; HERZOG, 2006HERZOG, [1968]]; LABOV, 2008LABOV, [1972]]) was used to investigate the placement of clitic pronouns in standard and nonstandard variety of the Portuguese spoken in the city of Feira de Santana-BA and compare
Character Recognition in a Human-Computer Interface Environment for Users with Motor disabilities

The aim of this research is to explore a possible method for identifying an alphanumeric character produced by an individual with motor and vocal disabilities and whose possibilities to interact with the surrounding environment are limited to the movement of the face. The reason behind the creation of an alphanumeric character interpretation algorithm is linked to the fact that attempts to use existing algorithms (such as Tesseract) gave poor results in this scenario. The reason of the low success rate was not investigated; the focus was on finding a functional solution to the objective. Obviously subsequent studies in this sense are desirable. A Human-Computer Interaction algorithm has been developed in order to allow a person with limited mobility to interact with a computer, to which commands can be given.  This project is based on three main elements: the identification of facial parameters, their tracking and the interpretation of the word expressed. A Linux based Python application has been coded to elaborate information from a camera. The main action is to identify the face of the potential user, activate tracking when the subject closes his eyes for a defined numbers of times, then follow the trajectory of a point of the face (in our case the tip of the nose), interpret the letter thus drawn, buffer the letters and finally convey the command (entire word) thus obtained. At the end, statistics on the success percentage are provided.
Salient Object Detection from the Video Streams Using an Enhanced Water Flow Approach

In this paper, we formulate the issue in the salient object detection (SOD) on the video stream using a novel proposed method named," Water Flow Driven using Minimum Barrier Distance". By using this method the two objective are been state which are been rectified in our work. The major part relies on finding the larger area in the frame which is used for false positive for the fixation prediction on the image. When the salient object are located near the boundary region, the accuracy are lacking, in order to increases the accuracy our work performance in the better improvement in the planned work. And the second objective is the RGB resolution here the foreground and the background are having the similar color, and then it is difficult to detect the image salient these issues are facing to the degradable in the image post processing of the salient image. The final experimental study and the performance metrics state the Precision-Recall, Mean Absolute and the F-measure are been improved when the comparison of the existing work. The result validate the proposed work is having the PASCAL-S dataset for the image feature extraction and there are very robust to the resolution.
A First Look at Blockchain-based Decentralized Applications

With the increasing popularity of blockchain technologies in recent years, blockchain-based decentralized applications (DApps for short in this paper) have been rapidly developed and widely adopted in many areas, being a hot topic in both academia and industry. Despite of the importance of DApps, we still have quite little understanding of DApps along with its ecosystem. To bridge the knowledge gap, this paper presents the first comprehensive empirical study of blockchain-based DApps to date, based on an extensive dataset of 995 Ethereum DApps and 29,846,075 transaction logs over them. We make a descriptive analysis of the popularity of DApps, summarize the patterns of how DApps use smart contracts to access the underlying blockchain, and explore the worth-addressing issues of deploying and operating DApps. Based on the findings, we propose some implications for DApp users to select proper DApps, for DApp developers to improve the efficiency of DApps, and for blockchain vendors to enhance the support of DApps.
Heterogeneous Collaborative Filtering

Recommendation system is important to a content sharing/creating social network. Collaborative filtering is a widely-adopted technology in conventional recommenders, which is based on similarity between positively engaged content items involving the same users. Conventional collaborative filtering (CCF) suffers from cold start problem and narrow content diversity. We propose a new recommendation approach, heterogeneous collaborative filtering (HCF) to tackle these challenges at the root, while keeping the strength of collaborative filtering. We present two implementation algorithms of HCF for content recommendation and content dissemination. Experiment results demonstrate that our approach improve the recommendation quality in a real world social network for content creating and sharing.
Medicine Inventory Grouping using Clustering Data Mining

One of the main factors in health services is adequate medicine supplies. Puskesmas is one of the health services that is managed under the district and city health offices to serve patients every day. However, there are obstacles in the process of medicine supply at the Puskesmas. Puskesmas still uses medicine supply techniques manually by looking at the minimum medicine stock. In this way, many medicines are unused and even lacking. The application of data mining can be used as an analysis to determine the medicine supply according to the patient's needs. In the data mining method, the clustering algorithm is one of the most popular to use where the data belonging to the same cluster will be close to each other and will be far from the data about another cluster. For this reason, this study used clustering to classify types of medicines based on the number of medicine uses and requests. The results are obtained in the form of information on the type of medicine with rapid use and model of m with extended usage every month taken from three years of data. Also, information on the types of medicines from the clustering process can be used to improve better patient service.
GPU-based parallelism for ASP-solving

Answer Set Programming (ASP) has become, the paradigm of choice in the field of logic programming and non-monotonic reasoning. Thanks to the availability of efficient solvers, ASP has been successfully employed in a large number of application domains. The term GPU-computing indicates a recent programming paradigm aimed at enabling the use of modern parallel Graphical Processing Units (GPUs) for general purpose computing. In this paper we describe an approach to ASP-solving that exploits GPU parallelism. The design of a GPU-based solver poses various challenges due to the peculiarities of GPUs' software and hardware architectures and to the intrinsic nature of the satisfiability problem.
NIE for Improving English Medium Instruction in Art Theory Course: A Case of Korean Higher Education

본 연구는 국내 대학 미술이론과목의 영어강의에 있어서 수강생의 전공내용 이해도와 영어능력을 함께 향상하기 위한 개선 방안으로서 영어 미술신문 활용을 제안한 신문활용교육(NIE) 사례연구이다. 서울시 소재 한 사립대학의 미대생을 대상으로 실시한 설문조사 결과를 분석하여 다음과 같은 결과를 얻었다. 첫째, 대다수의 수강생이 영어 미술신문의 난이도와 그에 기초한 퀴즈의 난이도가 보통이라고 응답하였다. 둘째, 대다수의 수강생이 영어 미술신문을 활용하는 수업에 만족한다고 응답하였다. 셋째, 수강생의 1/3 이상은 강의 중에 교수가 영어를 50% 사용하기 원한다고 한 반면, 또 다른 1/3은 교수가 영어를 60-70% 사용하기 원한다고 응답하였다. 넷째, 대다수의 수강생이 NIE를 적용한 미술이론과목 영어강의를 통해 현대미술의 최신 동향을 이해할 수 있다고 하였다. 다섯째, 수강생의 절반 정도가 수강 후에 영어 미술신문 독해 시간이 빨라졌고 NIE를 적용한 강의가 영어능력 향상에 도움이 된다고 응답하였다. 이 결과를 토대로 다음의 시사점을 제안할 수 있다. 대학의 미술이론과목의 영어강의에서 수강생들의 영어능력 편차가 존재하므로 기초과정과 심화과정 교과목을 별도로 개설하거나 영어와 한국어 사용 비율을 달리하는 세분화된 교과목을 개설할 필요성이 있다. 미술이론과목 영어강의의 기초과정에 영어 미술신문을 활용한 NIE를 적용하면, 영어강의에 대한 수강생들의 만족도를 높이고 전공내용 이해도를 증진하게 되며 독해력을 포함한 영어능력 향상에 기여할 수 있다.In this case study of Newspaper in Education (NIE) for English Medium Instruction (EMI) in the college art theory course, the researcher proposed an improvement plan for improving students understanding of course contents and English proficiency. The following survey results were obtained from art major students of a private university in Seoul. Firstly, the majority of the students answered that the difficulty level of English art newspapers and quizzes based on their contents was moderate. Secondly, the majority of the students answered that they were satisfied with EMI in the college art theory course applying NIE. Thirdly, more than one-third of the students answered that they wanted their professor to use 50% of English and another one-third responded that they wanted the professor to use 60-70% of English during the course. Fourthly, the majority of the students responded that they could understand the latest trends in contemporary art through the course applying NIE. Fifthly, nearly half of the students answered that the time to read English art newspapers became faster and the course applying NIE was helpful to improve their English proficiency. Our results suggest that there is a need to open basic and advanced courses or more courses with different ratios of English and Korean since there are deviations in English proficiency among students. Applying NIE to EMI in the college art theory course as a basic level course will enhance students satisfaction, improve their understanding of course contents, and cultivate English proficiency including reading ability.
STUDI KELAYAKAN EKONOMI PENGEMBANGAN APLIKASI PEMINJAMAN RUANGAN DI UNIVERSITAS PERTAMINA

Waste are serious environmental issues in Indonesia. To minimize waste, there have been efforts by companies to reduce the amount of paper used. For example, in Universitas Pertamina there has been idea to make a new application-based system to rent a room, replacing the old system that still produce waste such as paper and ink bottle. Before making the application, there should be an economic feasibility study to determine whether this application can be made from economy aspects. To conduct this study, quantitative method was used, as well interview and literature studies to gather data. From that, the estimation of cost for existing room renting system is Rp98.609.423,30. Meanwhile, the estimation of cost needed to make an application for room renting system is Rp15,254,680.00 and the cost to run the system is Rp48.840.856,30. From data collected above, it says that payback period from the development of the application is less than a year, so the development of application of room renting is feasible in the economical aspect.