Reviewerly/exHarmony huggingface dataset:
Library Introduction to The New Student Airlangga University 2016

Big waves influx of new students usually occurs during the reception of new college students at the beginning of the first semester. For that we need a program that can help smooth the socialization of new students to be part of the community college. Library user education is one solution to introduce new students to campus life. Airlangga University Library in 2016 launched a program library 101, commonly known as Introduction to library activities at the New Student Airlangga University (P3MB-UA) in 2016. In this research will discuss library 101 descriptive quantitative. The point of this research are in three (3) aspects. First about mechanism of library 101. Second is the realization of the library 101 and the third is the evaluation of the library 101 The conclusions of this study are 101 Library has been going well. The new student response is very good, is evident from the number of participants is always higher than the target of each session is 20 people and target participants a total of 1,000 people. A total of 101 participants library is 2258 people. Library 101 participants mostly from faculty and business ekomoni many as 254 people. Participants at least came from the faculty of dentistry, ie 88 people.
Security Analysis and Improvement on an Image Encryption Algorithm Using Chebyshev Generator

Chaotic map including Chebyshev’s polynomial have been studied and used in many cryptographic areas recently due to its low cost of computation and high level of security. Some research works have been proposed to use Chebyshev’s polynomial in image encryption by setting up two-stage encryption algorithms. Pixels of a plain image are first permuted by a Permutation process. Then each pixel values are changed by a Diffusion process. A two-stage image encryption algorithm is generally believed to be more secure than a single stage image encryption algorithm. In this paper, however, we demonstrate a recent two-stage image encryption algorithm proposed by Wang et al., is insecure against chosen plaintext attack. An attacker may be able to decrypt a cipher image after knowing some ciphers of images which are chosen by the attacker. We present an subtle but efficient improvement over Wang et al.’s algorithm so that it is not only immune to the attack we presented but also statistically improved when experiment is conducted to measure pixels’ correlation, NPCR and UACI.
Preface: Special Issue on Workshop on Advances in Parallel and Distributed Computational Models 2018

The 20th Workshop on Advances in Parallel and Distributed Computational Models (APDCM), which was held in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS) on May 21--May 25, 2018, in Vancouver, Canada, aims to provide a timely forum for the exchange and dissemination of new ideas, techniques and research in the field of the parallel and distributed computational models. The APDCM workshop has a history of attracting participation from reputed researchers worldwide. The program committee has encouraged the authors of accepted papers to submit full-versions of their manuscripts to the International Journal of Networking and Computing (IJNC) after the workshop. After a thorough reviewing process, with extensive discussions, five articles on various topics have been selected for publication on the IJNC special issue on APDCM. On behalf of the APDCM workshop, we would like to express our appreciation for the large efforts of reviewers who reviewed papers submitted to the special issue. Likewise, we thank all the authors for submitting their excellent manuscripts to this special issue. We also express our sincere thanks to the editorial board of the International Journal of Networking and Computing, in particular, to the Editor-in-chief Professor Koji Nakano. This special issue would not have been possible without his support.
Developing Scramble-Based Learning Method to Increase Students’ Reading and Writing Comprehension

This study was directed to develop a learning technique, to analyze the obstacles faced by teachers in implementing the lesson, and to overcome the problems faced by teachers in enhancing elementary students’ reading and writing comprehension. In order to fulfill the mentioned goals, this study tried to use scramble-based learning technique. It was cconducted at SDN Gentra Masekdas 1, Kecamatan Tarogong Kaler involving 32 first grade students. A pilot study was conducted on 9 March 2017 for about 35 minutes. The first cycle started on 18 April 2017, while the second one was on 24 April 2017. It was found that there was an increasing trend after the implementation. The analysis proccess generated data as followed: during pilot study, eight students succeeded to reach the standard indicator with percentage of 25%. Cycle I generated 15 students with learning completion percentage of 46.8.%. And, during second cycle, there were 27 students who succeeded in reaching completion standard with completion percentage of 84.3%.
Physically Plausible Dehazing for Non-physical Dehazing Algorithms

Images affected by haze usually present faded colours and loss of contrast, hindering the precision of methods devised for clear images. For this reason, image dehazing is a crucial pre-processing step for applications such as self-driving vehicles or tracking. Some of the most successful dehazing methods in the literature do not follow any physical model and are just based on either image enhancement or image fusion. In this paper, we present a procedure to allow these methods to accomplish the Koschmieder physical model, i.e., to force them to have a unique transmission for all the channels, instead of the per-channel transmission they obtain. Our method is based on coupling the results obtained for each of the three colour channels. It improves the results of the original methods both quantitatively using image metrics, and subjectively via a psychophysical test. It especially helps in terms of avoiding over-saturation and reducing colour artefacts, which are the most common complications faced by image dehazing methods.
Demo: Visualizing Adaptation Decisions in Pervasive Communication Systems

Pervasive systems enhance our environment with various services under a wide range of contextual conditions. Hence, as a user's context may change over time, pervasive systems shall be able to reconfigure themselves. While such reconfigurations are typically difficult to conceive, a system designer might be interested in their triggers and execution. To this end, we demonstrate Coalaviz, a tool for making adaptation decisions in pervasive communication systems traceable. Our demonstration shows the capabilities of Coalaviz based on the Tasklet system, a distributed computing system for task offloading. The offloading mechanism can be reconfigured in terms of the scheduling strategy. We show the use of Coalaviz and how the Tasklet system behaves in different contextual situations and during reconfigurations based on changing goals.
Human Interactive Intelligent System for Managing Rural Libraries

Rural library information is maintained manually using hard bounded records which were replaced by software that stored records in form of database.It is also enabled with a wide variety of resources such as E-books, PDF and much more using the Internet.The objective of the proposed system is to provide an interactive system that could be incorporated with voice interaction.The voice interaction is carried out with a help of a tool that could build natural voice experiences and offer users a more intuitive way to interact to get their work done.The Voice User Interface models the real human assistant strategy by incorporating artificial intelligence techniques.In specific, Artificial Intelligence makes the library management system more realistic which can adapt to the scalable requirements of a learner.The proposed system is an interactive library system that uses Amazon"s Echo device, which can help users with the regular operation of new book entry, new user entry, issue and return of books and to query for books on specific inputs such as title, author, publisher etc. through voice interaction without any manual assistance.The system"s specific application is the prediction of books matching the combinations of user requirements.The natural language processing is used to provide support to the user and the artificial intelligence uses an algorithm that can help to suggest or to predict the resource available based on the user"s choice.
Conclusion and Service-Oriented Architecture (SOA) Experts Recommendations for Organizations

In this chapter the achievements and the contribution of this study will be explained shortly. Then few recommendations will be discussed based on SOA experts’ experiences. Moreover, some limitations and direction for future work will be described at the end of this study. Therefore, this chapter emphasizes on the discussion, conclusion, and recommendations of this study. The main goal of this study was to identify the significant factors effects on SOA adoption in organizations and to clarify the impact of SOA adoption on the performance of organizations. Besides, this study proposed a suitable framework for adoption of SOA in organizations which seems to be beneficial for future scholars.
High Bit-Rate Quantum Communication Chips

There is growing incentive to integrate quantum communication technologies into our high-bandwidth communication networks. However, for a realistic and practical large-scale deployment, drastic reductions of the size, cost and power consumption of current quantum cryptographic systems are necessary. We show how this goal can be achieved using photonic integration. We demonstrate quantum communication chips capable of record performances including quantum key distribution at 250kb/s over a 20dB-loss channel and quantum random number generation at 8Gb/s. The scalability and affordability of these new devices will allow the deployment of quantum cryptography in high connectivity networks.
Performance Improvement of Data Fusion Based Real-Time Hand Gesture Recognition by Using 3-D Convolution Neural Networks With Kinect V2

Hand gesture recognition is one of the most active areas of research in computer vision.It provides an easy way to interact with a machine without using any extra devices.Hand gestures are natural and intuitive communication way for the human being to interact with his environment.In this paper, we propose Data Fusion Based Real-Time Hand Gesture Recognition using 3-D Convolutional Neural Networks and Kinect V2.To achieve the accurate segmentation and tracking with Kinect V2.Convolution neural network to improve the validity and robustness of the system.Based on the experimental results, the proposed model is accurate, robust and performance with very low processor utilization.The performance of our proposed system in real life application, which is controlling various devices using Kinect V2.
Study on Volume of Recruitment in Busan Area Applying Count Data Model

본 연구에서는 ‘2018년도 부산지역 인력 및 훈련 수요조사’에서 부산지역 기업의 구인인원에 대한 결정요인을 분석하고자 한다. 일반적으로 구인인원은 0을 포함한 자연수를 가지는 계수 데이터이므로, 일반적인 선형회귀모형을 적용하기에는 정규성, 등분산성, 독립성 등에서 많은 문제점이 있다. 이런 문제를 극복하기 위해서 계수 데이터 모형인 포아송 회귀, 영과잉 포아송 회귀, 음이항 회귀 및 영과잉 음이항 회귀모형 등 4개의 모형을 적합하여 최적 모형을 선택한다. 분석의 주요결과를 요약하면 다음과 같다. 첫째, 모형 선택에 대한 가설검정 결과, 영과잉 음이항 회귀모형이 최적의 모형으로 선택되었다. 둘째, 분석결과 부산지역 기업들 가운데 비 IT 서비스업과 기타업종일수록, 기업규모가 클수록, 파견사업체나 용역(도급)업체일수록, 산업단지 이외 지역일수록, 구인인원이 유의하게 높게 나타났다. 셋째, 4차산업혁명 인지도 여부는 인지기업일수록 구인인원이 많으나 통계적으로 유의하지 않은 것으로 나타났다. 마지막으로, 이러한 분석결과는 부산지역 기업 가운데 제조업 및 산업단지 입주기업의 일자리창출에 대한 정책대안의 모색이 필요함을 시사한다.In this paper, the determinants for volume of company recruitment in Busan area is analysed. Since volume of recruitment is count data which take natural number including zero values, linear regression model becomes inappropriate. Therefore, four models such as Poisson regression model, zero inflated Poisson regression model, negative binomial regression model and zero inflated negative binomial regression model are tried to fit count data. Major results are the followings. A zero inflated negative binomial regression model is selected to be the best model. Second, the volume of recruitment in the Busan area is significantly higher as the service industry, the larger the enterprise, the dispatching business, the service provider, the area outside the industrial complex. The recognition of the fourth industrial revolution was not statistically significant, although the number of recruits was higher in the cognitive firms. Finally, this analysis suggests that it is necessary to find policy alternatives for job creation in manufacturing and industrial complex enterprises in Busan.
Actualization of human potential as a criteria of successfulness of its development

The article is an invitation to discuss the way of understanding human development as an actualization of individual’s potential. I present two opposite approaches to this particular problem: human development as choosing preferable potentials and also as striving to actualization of, in some way, every potential, especially these which concern the uniqueness of an individual. In the following parts of the article I locate the problem of human potential in three main discourses regarding: 1) human nature and its origin, 2) the possibility of full experience of individual lifespan 3) the possibility of influence through people on the content and the form of their actualizing potential. To the latter and strictly practical issue I pay most attention. I formulate five thesis regarding this issue. They may, in my opinion, be a starting point to discuss the general problem mentioned above. Therefore, they encourage to think about the mechanism of human development and the future environment of his life.
NLP to SQL

Now days data is increasing rapidly. There are so many new database tools and technologies are rowing, therefore we can store large data, but the problem is that the technology or an interface which can process data and display the data as per the user request is not familiarized with many of the people.It means many people don’t have proper knowledge of handling database.Actually, NLP to SQL conversion is part of machine learning. The main idea of NLP to SQL conversion is to generate SQL query from natural language. This technique is useful for accessing data from database without having prior knowledge of SQL. This technique can be used by many common people.In this system input is simple English text and query is generated by using POS tagger in python. In this project we are going to implement a system which will generate SQL query from natural language.
Pengembangan Media Poster Untuk Meningkatkan Daya Tangkap Berpikir Siswa Kelas X SMA Negeri 1 Toroh Pada Mata Pelajaran Ekonomi Sub Pokok Materi Pemenuhan Kebutuhan Manusia

This study aims to determine the feasibility of poster learning media on economic learning, differences in students' thinking ability after using media posters and knowing differences in student learning outcomes between groups applying poster media compared to groups that apply conventional based learning. The development model used is the Research and Development (R & D) method. The subjects of this poster media product trial were class X students of SMA 1 Toroh on economic subjects. Data analysis techniques in this study were obtained from pre-test and pro-test using different tests (T-Test). From the results of the analysis show that (1) Results of poster feasibility can be seen from the results of interviews with media experts and the final results of student scores that differ between the experimental class and the control class. (2) The results of the analysis of the T-Test show that there is a difference between the results of economic learning using the Experimental Group and the Control Group in Year X students of 1 Year Toroh Senior High School Based on Documents 2018/2019. (3) The results of the analysis show that the mean value shows that the economic learning outcomes of the IPS 4 class using the Experimental Group show an average value of 8.3448 while the economic learning outcomes of the IPS 3 class using the Strategy Control group show the average value is 7.4265. From these results indicate that the value of Experimental Group learning outcomes is better than the control group strategy.
Perspective-12-Quadrics: An analytical solution to the camera pose estimation problem from conic-quadric correspondences

Goal: To estimate the pose of a persective camera given a set of n 3D quadrics in the world and their corresponding 2D projections (conics) in the image.
PEMODELAN PENELUSURAN BANJIR MENGGUNAKAN METODE ADAPTIVE NEURO FUZZY INFERENCE SYSTEM PADA SUNGAI ROKAN KANAN

Flood is an occurence that marked with the increase in the water exceeds the capacity  of volume water reservoir such as a river or water channel, factors that cause flooding in terms of meteorology are high rainfall and sea water was high, resulting in high water level increases. Flood predictable with see natural phenomena such as rainfall. One of method for flood prediction is with flood routing method. Flood routing is done as a means to reduce an adverse impact by flooding, Flood Routing is a hydrograph flow  omputation in a downstream stream based on hydrograph flow of an upstream location. The purpose of this study is to develop flood routing model in the Rokan Kanan river with use softcomputing Adaptive Neuro Fuzzy Inference System (ANFIS). The data used in this research is secondary data 2014 to 2016 year, Data of Rokan Kanan river were collected from BWS Sumatera III in Pekanbaru. The Scenarios date used in this research is Q t+0, Q t+4, Q t+8, Q t+12 and Q t+16 with used variation of data comparison training and testing 70% : 30%, 60% : 40%, 80% : 20% and 50% : 50%. The results of this flood routing study in Rokan Kanan river, produce a correlation value of R = 0,6074 obtained during the use of data scenarios Q t+12 with used variation of data 80% : 20% and is classified as a strong correlatioan.
Research on Advanced Mathematics Teaching for International Students in China Based on "Internet +" Era

With the coming of Internet + era, the education of international students in China is an important part of the international construction of colleges and universities. It is also an important way for China to spread Chinese culture, to realize reform and opening up and to communicate with other countries. Taking Xi'an Petroleum University as an example, the paper analyzes the current situation of advanced mathematics teaching, and discusses the teaching mode and method of advanced mathematics course for international students in the Internet + era. It can be used as reference for future teaching and other basic courses for international students in China, and to improve the teaching quality of advanced mathematics courses at present.
Educational principles in a changing world

Our country is full of young people, 35% of our population is below the age of 20 according to the 2011 Census. They are the future of our nation. At the same time we are in the midst of revolutionary changes brought about by the new technologies on the one hand and globalization on the other. The big challenge for educators today, be it parents or teachers, is not just to impart knowledge and contents to young people, but how to help them apply their knowledge to life and imbibe the values that will help them live healthy, happy and meaningful lives. It is in this context that ten educational principles for a changing world are presented in this article.
DH in Germany and beyond

Presentation given at UiT Digital Humanities Conference 2017
Consideration of Relatively Preventative Strength from the Viewpoint of Interestingness Measure

빅 데이터 분석을 위한 가장 대표적인 방법이 데이터 마이닝이며, 특히 연관성 규칙 기법이 많이 활용되고 있다. 연관성 규칙 생성을 위한 기준은 크게 객관적 흥미도 측도와 주관적 흥미도 측도로 나누어진다(Park, 2016a). 가장 기본적으로 이용되는 객관적 흥미도 측도로는 지지도, 신뢰도, 향상도 등이 있다. 이러한 기본적인 측도를 활용하여 의미 있는 연관성 규칙을 찾아내는데는 한계가 있어서 그동안 이를 극복하기 위해 많은 연구들이 발표되었다(Park, 2017). 또한 여러 가지 상대적 인과 강도를 흥미도 측도의 관점에서 기존의 측도인 신뢰도와의 관계가 규명되기도 하였다. 본 논문에서는 여러 가지 상대적 예방 강도를 흥미도 측도의 관점에서 탐색하는 동시에 기존의 객관적 연관성 규칙 측도들과의 관계를 규명하였다. 그 결과, 동시 발생 빈도 또는 동시 비 발생 빈도의 크기가 증가함에 따라 상대적 예방 강도의 측도들은 모두 증가하는 것으로 나타났다. 이와는 반대로 불일치 빈도들이 증가하면 상대적 예방 강도의 측도들은 모두 감소하는 것으로 나타났다. 특히 양 또는 역의 신뢰도의 값이 음의 신뢰도의 값보다 작은 경우에는 음의 값으로 나타난 반면에 이들 신뢰도의 크기가 반대인 경우에는 상대적 예방 강도들이 모두 양의 값으로 나타났다.Data mining is one of the most popular techniques for big data analysis, and association rule technique is widely used. The criteria for creating association rules are largely divided into objective interestingness measures and subjective interestingness measures. The most basic objective interestingness measures are support, confidence, and lift. There are limits to finding meaningful association rules using these basic measures, and many studies have been published to overcome them. In addition, the relationship between confidence and relatively causal strength has been clarified from the point of view of interestingness measure. In this paper, we investigated various relatively preventive strengths from the point of view of interestingness measure, and at the same time clarified the relationship with existing objective association rule measures. As a result, the relatively preventative strength measures were found to increase as the frequency of coincidence or frequency of concurrent incidence increased. Especially, when positive or inverse confidence value is smaller than negative confidence value, negative value is shown.
Analysis and design of information systems news portal citizen journalism Sumba-Indonesia as local content promotion media

Citizen journalism is a journalistic activity undertaken by a person or group. So far, information on the potential of the Sumba Island has not been evenly distributed because there is unequal information on the Sumbanese community and information on potential in eastern Sumba. The purpose of this research is to provide media for the citizens of Sumba in providing any information about local content in Sumba Island such as information on agriculture, plantation, forestry, tourism, cultural information, social information, political information, law, and human rights. The methodology used to build this system is the Waterfall Model. This model is an approach to software development, with several stages, namely: System Engineering, Analysis, Design, Encoding, Testing, and Maintenance. The development concept used is Model-View-Controller or MVC is a method to create an application with separate data (see) and the corresponding way (Controller). In the implementation of framework in the application of website-based architecture MVC. MVC is developing a major component-based application that builds an application such as data manipulation, user interface, and parts that become controls in a web application.
Reinforcement learning in a large-scale photonic network (Conference Presentation)

We experimentally create a neural network via a spatial light modulator, implementing connections between 2025 in parallel based on diffractive coupling. We numerically validate the scheme for at least 34.000 photonic neurons. Based on a digital micro-mirror array we demonstrate photonic reinforcement learning and predict a chaotic time-series via our optical neural network. The prediction error efficiently converges. Finally, we give insight based on the first investigation of effects to be encountered in neural networks physically implemented in analogue substrates.