Reviewerly/exHarmony huggingface dataset:
A Study on the Improvement of Image of Probation Office

많은 보호관찰소와 보호관찰지소가 입지 선정과정과 입지 이후 지역주민의 반응에 대해 민감할 수밖에 없는 실정이다. 특히, 성범죄자 등의 문제가 이슈화되면서 더 심각해졌다고 볼 수 있다. 지역주민들의 생각은 입지 선정과정에서의 명확한 기준을 요구하고 있는 반면, 실무적 측면에서는 입지 선정에 대해 많은 어려움이 있다는 것이 실질적인 문제라고 할 수 있겠다. 더욱이 엄중히 법을 집행해야 할 사법기관의 역할과 지역주민의 인식을 함께 고려해야 하는 현실적인 문제도 존재한다. 따라서 포괄적인 이미지 개선의 시도가 요구되는 시점이라고 할 수 있겠다. 이 연구에서는 보호관찰소의 이미지 개선을 위해 유관하다고 생각되는 학문 분야 전문가, 실무자, 지역주민을 대상으로 심층면접조사를 실시하여 이미지 개선을 위해서 요구되는 요인이 무엇인지 확인하는 것을 목적으로 하고 있다. 연구결과 학문 분야 전문가와 실무자의 이미지 개선을 위한 전략 및 핵심요인에 대해서는 전혀 다른 입장을 취하고 있었다. 또한 지역주민을 대상으로 한 심층면접 조사에서는 보호관찰소의 역할을 잘 모르는 등 부정적인 이미지가 언론 등 매체를 통해 막연히 형성되고 있다는 점과 실질적으로 보호관찰소에 대한 소개를 받은 이후 이미지 개선에 대한 여지를 보이고 있었다. 결론적으로 학문 분야 전문가와 실무자 사이의 이미지 개선을 위한 상반된 입장을 명확히 정리하여 핵심요인으로서 공통점을 도출하고 지역주민에 대한 홍보 및 보호관찰소의 순기능에 대하여 적극적으로 홍보하면 이미지 개선에 효과적일 수 있을 것이다.Many probation offices are insensitive to the location selection process and the response of local residents after the location. In particular, the problem of sex offenders became more serious as the issue was raised. While local people s ideas require clear criteria in the location selection process, there are many difficulties in location selection in practical terms. Moreover, there are also practical issues that must consider both the role of law enforcement agencies and the perceptions of local residents, strictly enforced. Therefore, it is a time when comprehensive image improvement attempts are required. In this study, in-depth interviews were conducted with academics, practitioners, and local residents considered relevant to improve the image of probation offices. The purpose of the in-depth interview is to identify the factors required to improve the image of the probation office. As a result, the study took a completely different position on strategies and key factors to improve the image of academic disciplines and practitioners. In addition, in-depth interviews with local residents were not familiar with the role of probation offices. In conclusion, it is important to clarify the conflicting positions for improving the image between academic disciplines and practitioners to find common ground as a key factor. In addition, public relations about the function of probation centers should be actively used for local residents. Then, it may be effective to improve the image.
The 3-dimensional arcade game application of Khalid ibn al-Walid

Abstract Khalid ibn al-Walid was a hero of Islam who was very meritorious and inherited many exemplary values, namely sincerity, struggle and intelligence. But many people don’t know this hero. This is due to the widely available media introduction of Khalid ibn al-Walid figures such as history books and comic books that are less interesting. This can be overcome by developing an interactive historical game Khalid ibn al-Walid. This game is built with 3D characters using the arcade genre and the First Person Shooter viewpoint. There are 4 parts in this game namely Prologue, Phase Before Islam, Islamic Phase, Epilogue. The test results show that all game features can work properly. Then the game was tested on 10 users and they stated that they had received adequate information about Khalid ibn al-Walid from this game.
OurOwnsKIN

OurOwnsKIN 1 is a research project exploring the interplay between man, material, and machine to create innovative footwear design constructions inspired by human skin. The aim is to harness the capabilities of 3D printing in preparation for future biotechnologies.
Optimized Image Extracting Algorithm from Original Image using Ground Truth

Information technology has been playing major roles in the field of medical research and analysis in diagnosing as well as treatment of diseases. Colon cancer is among one of the diseases to be identified effectively and accurately. The scarcity of datasets however hinders the progress of researchers. This paper introduces an algorithm that extracts image from an original image using a ground truth. The algorithm used Python programming language in string slicing. The algorithm was able to extract both polyp and non-polyp images and decreases 8% of the time it takes than original image. Furthermore, this algorithm is useful in creating future studies.
МАСШТАБИРУЕМЫЙ БИОИНСПИРИРОВАННЫЙ АЛГОРИТМ ДЛЯ ЗАДАЧ МНОГОМЕРНОЙ ОПТИМИЗАЦИИ

Bioinspired algorithms are mathematical transformations that allow to transform the input flowof information into the output according to the rules based on the simulation of the mechanisms of evolution,as well as on the statistical approach to the study of situations and iterative approximation to thedesired solution. Bioinspired algorithms have certain advantages over traditional deterministic optimizationmethods, better exploring the space of finding solutions. However, in the era of big data, the suitabilityof bioinspired algorithms for processing them, like most other methods, is questionable. Big dataposes new computational challenges, including due to its very high dimensionality and sparsity. Multidimensionalproblems bring additional complexity to the study of the solution search space. An urgenttask is to develop a scalable bioinspired algorithm that can support the diversity of the population ofsolutions and find a balance between the rate of convergence of the algorithm and the diversification ofthe search in the space of solutions. The paper presents a scalable bioinspired algorithm capable ofsolving multidimensional optimization problems of high dimension using a hierarchical multipopulationapproach. The scalability of the algorithm assumes that its computational cost increases in direct proportionto the increase in the amount of data processed, as well as the ability to give the best solution forits current capabilities at any time of calculation, even if the calculation process is not completed by anatural stop. Scalability also includes the ability to perform calculations within the limited memory ofthe computer being used. The algorithm uses a special mutation operator to support the diversity of thesolution population, expanding the search for solutions at the expense of less promising solutions. Evaluationof the effectiveness of the proposed algorithm is performed on the set of multidimensional optimizationfunctions benchmarks: Griewangk, Rastrigin, Rosenbrock, Schwefel. The indicators of the developedalgorithm are compared with the indicators of competing algorithms. The experiments show infavor of a scalable algorithm, and the differences in the values of optimized functions for the developedalgorithm are statistically significant compared to competing algorithms, especially with increasingdimension of the problem.
Image Watermarking pada Citra Medis menggunakan Compressive Sensing berbasis Stationary Wavelet Transform

ABSTRAK&#x0D; &#x0D; Watermarking pada citra medis dilakukan untuk melindungi hak kepemilikan dan keaslian sebuah citra medis. Proses embedding dan extraction dirancang menggunakan metode Stationary Wavelet Transform (SWT) dan Statistical Mean Manipulation (SMM) untuk mengubah citra host menjadi sinyal sparse kemudian memasuki proses watermarking. Citra watermark dioptimasi dengan menggunakan metode Compressive Sensing (CS). Hasil akhir dari penelitian ini menunjukkan simulasi Image Watermarking dengan Bit Error Rate (BER) mendekati nilai nol dan PSNR lebih besar dari 40 dB, tanpa diberikan serangan. Penerapan Compressive Sensing menyebabkan nilai PSNR meningkat hingga 3,5 dB dan embedding capacity menjadi empat kali lipat lebih baik.&#x0D; &#x0D; Kata Kunci: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing.&#x0D; &#x0D; &#x0D; ABSTRACT&#x0D; &#x0D; Watermarking in medical images is carried out to protect ownership rights and authenticity of a medical image. The embedding and extraction process was designed using Stationary wavelet transform (SWT) and Statistical Mean Manipulation (SMM) methods to convert the host image into a sparse signal and then enter the watermarking process. The watermark image is optimized using the Compressive Sensing (CS) method. The final result of this final project shows the simulation of Image Watermarking with the Bit Error Rate (BER) approaching zero and PSNR greater than 40 dB, without being given an attack. The application of the Compressive Sensing pursuit will cause the PSNR increase up to 3.5 dB and embedding capacity four times better.&#x0D; &#x0D; Keywords: Image watermarking, Telemedicine, Stationary Wavelet Transform, Statistical Mean Manipulation, Compressive Sensing.
Measuring Similarity of Fiction Texts Based on Distributional Semantic Models (Case Study of the Russian Original Text and English Translations of M.Bulgakov's Novel "The Master and Margarita")

paper deals with the application of distributional semantic methods to the task of measuring similarity between several translations of the original text. In particular, Word2Vec neural network toolkit is employed for comparison between two translations. Moreover, in terms of the theory of translation, descriptions of transformations for paraphrasing, which are also used for testing plagiarism detection methods, suit the task of comparing translations. Experiments discussed in this paper are carried out for the Russian original and English translations of M. Bulgakov's novel The Master and Margarita. In the paper, the above mentioned approaches are combined to contrast the translation by M. Glenny (1967) with one by R. Pevear and L. Volokhonsky (1997). Hypothesis that parallel translations can be treated as paraphrases obtained as a result of transformations is under consideration. paper contains detailed quantitative analysis of the data obtained regarding the similarity between two translations of fiction text as well as discussion of particular contexts.
Teachers’ attitudes towards using technology vs analysis based on Ecuadorian curriculum standards, item 3. C.3, 3. C.4

The general purpose was to investigate the attitude of Ecuadorian teachers of the English language towards the use of information and communication technologies (ICT) in their classrooms, for this, the Ecuadorian curricular standards were used as a theoretical reference. Discussion and conclusion: Although ICTs provide positive educational benefits, there remains the problem of how well prepared teachers are to use technology. There is also the problem of accessibility to technology in their classrooms. In addition, most teachers seem to lack the time needed to learn how to use and apply technology. Regarding teachers' attitudes, it is concluded that computers can be a useful tool to help teachers meet the needs of students and their individual learning styles; however, teachers should feel comfortable with technology, have time, accessibility to the team, experience, resources and administrative support to apply the tools of computer learning effectively.
AN ANALYSIS OF STUDENTS ABILITY IN APPLYING ADJECTIVE ORDER IN DESCRIPTIVE TEXT

Writing is an ability to be able to express their opinions through an article. Writing models have many forms and kinds. Descriptive text is one of them. Descriptive text is text whose content aims to explain a thing, whether it's about a person, an object or a certain condition whose characteristics need to be explained. Researchers see that problems emerge among students in writing descriptive texts. This problem is seen from the ability of students who are still considered lacking in describing a matter in descriptive text. From there researchers moved to conduct research using qualitative research methods to see and examine the problems that occur and strive to resolve existing problems. And from the results of research that researchers have done, researchers found several factors classified through the analysis model, namely related to students' problems in seeing details of a matter, lack of vocabulary used, to the lack of knowledge about grammar related to adjective order. The researcher concludes that this problem is a problem that needs and is worth studying. It aims to develop a newer educational model for later research with this research which is used as a reference and or reference for future researchers.
Special Issue on Wired/Wireless Internet Communications conference (IFIP WWIC 2017)

Network Address Confidentiality (NAC) classifies all network nodes as adversaries and limits access to the network packet addresses in cleartext exclusively to the communicating endpoints. In our model, an adversary can control a single network node as well as a part or all of the network nodes on the route of a packet. Moreover, an adversary can observe and exploit network packet addresses. NAC implies certain anonymity properties, namely sender/recipient and relationship unlinkabilities. In contrast to the existing approaches related to NAC and its unlinkability properties with regard to our strong adversary model, Blind Packet Forwarding (BPF) tackles this issue in a clean-slate manner by redesigning the packet forwarding and its associated services to blind ones transferring and processing packet addresses in end-to-end encrypted form. This paper proposes a BPF architecture combining two approaches being based on the Locator/Identifier Split principle for a future network architecture. This BPF design introduces a fine-grained, flexible and dynamic blindness providing multiple NAC and unlinkability levels classified into two blindness taxonomies. In the first taxonomy, the higher the masking rank being applied to an address, the bigger is the radius of network domains within which NAC applies to the address, beginning with the top-level network domain. By applying higher masking ranks in the second blindness taxonomy, an endpoint can mask its address within higher network domains in direction of the top-level network domain. This paper also adapts OpenFlow in order to achieve a BPF implementation which provides high performance and can thus support multiple real-time media communications each with a high sending rate.
Battle Prediction System in StarCraft Combined with Topographic Considerations

This paper focuses on the prediction of combat outcomes in a local battle during a game of StarCraft. Through the analysis of the initial state of the two armies and considering the influence of the terrain in StarCraft on the combat effectiveness of both sides, the concept of the terrain correction factor is introduced to establish a mathematical model. Secondly, using SparCraft is to simulate battles and generate data sets. Finally, the maximum a posteriori probability estimation (MAP) is used to train the previously established data set to complete the parameter estimation of the mathematical model.
Geology and Petrographic Studies of Rocks in Anka Sheet 52, Northwestern, Nigeria

Over the years, models of evolution of the schist belts of Nigeria was proposed and classified under ensialic and ensimatic processes of formation.The study area (Anka Sheet 52) lies between latitudes 12 o 00′N and 12°30′N and longitudes 5°30′ E and 6°00′E and covers an area of about 3,086.76km² (Anka Sheet 52).Field mapping and laboratory studies was considered for this study by taking every detail in the field necessary such as geologic boundaries, structures, physical appearances of rocks and orientation noted in field notebook.Structural characteristics on outcrop was also recorded with the help of photographs and sketches along with text description.Representative rock samples mostly granitoids were prepared into thin for microstructural observations to reconstruct the deformation features and mineralogical assemblages under polarized light microscope.The study area comprises of gneiss of sedimentary protolith and is the oldest rock unit forming a massive sheared and elongated ridge trending north-south for about 1800m with a porphyroblastic texture of gradual lineation of quartz and feldspar in places.Metasediments comprises of quartzite, quartz schist, pellitic schist, phyllite, hornfels and metaconglomerate accounting for more than 35 percent of the study area.Pan-African granites intruded both the gneiss and metasediments and comprises of coarse grained granites, porphyritic granites, diorite and rhyolite to accounts for about 20 percent of the study area.Field and petrological evidences indicates that the Pan-African reworking may have led to the recrystallization of the protolith rocks to form gneiss (paragneiss) resulting from partial melting signifying that metamorphism possibly reach lower amphibolite facies in part of the study area.These rocks were overlain by sedimentary rocks of Cretaceous age.
An Interval Type 2 Fuzzy Logic Framework for Faster Evolutionary Design

In this paper, a fast processing and efficient framework has been proposed to get an optimum output from a noisy data set of a system by using interval type-2 fuzzy logic system. Further, the concept of GPGPU (General Purpose Computing on Graphics Processing Unit) is used for fast execution of the fuzzy rule base on Graphics Processing Unit (GPU). Application of Whale Optimization Algorithm (WOA) is used to ascertain optimum output from noisy data set. Which is further integrated with Interval Type-2 (IT2) fuzzy logic system and executed on Graphics Processing Unit for faster execution. The proposed framework is also designed for parallel execution using GPU and the results are compared with the serial program execution. Further, it is clearly observed that the parallel execution rule base evolved provide better accuracy in less time. The proposed framework (IT2FLS) has been validated with classical bench mark problem of Mackey Glass Time Series. For non-stationary time-series data with additive gaussian noise has been implemented with proposed framework and with T1 FLS. Further, it is observed that IT2 FLS provides better rule base for noisy data set.
Foreword to the Special Section on the Symposium on Virtual and Augmented Reality 2019 (SVR 2019)

• Virtual reality 360 degrees streaming. • Usability of AR-based motor rehabilitation. • Anatomy visualization using augmented reality. • Semantic modeling on mobile devices.
LectoCRA: Interactive System Based on Tangible User Interfaces to Reinforce Reading and Writing Skills

Currently, the use of technology has become essential in all aspects of our daily lives. Thanks to the technological evolution that we are facing and the new devices that facilitate our daily life, we can develop innovative systems with novel interaction mechanisms like the one presented in this paper, which has been designed to promote and improve the reading and writing skills of Elementary students. Thus, the main aim of the system proposed, called LectoCRA, is to promote reading and writing skills, since they are one of the most important skills to be developed during the first years of Elementary Education. This system applies new technological advances to improve teaching and learning activities and solve the problems derived from the geographical dispersion of students attending different locations in rural schools. The article includes a preliminary evaluation of the system, both from the point of view of the teachers and the students, providing positive results.
Reservoir Computing Using Asynchronous Cellular Automata

The asynchronously tuned cellular automaton (AT_ECA) we proposed has been shown to generate critical spatiotemporal patterns without fine-tuning of order parameters. In this study, we propose a learning system that applies the remarkable characteristics of AT_ECA to reservoir computing, which has recently been attracting attention as a learning model for time series data. Then, the learning ability of the proposed system was evaluated by the learning task called five-bit task. As a result, it became clear that the success rate of learning is relatively high even if distractor in time series data to learn is long.
Graphic Coding and Decoding Methods Using Relative Coordinates

There are many processes in PCB production.In order to facilitate management and problem tracing, PCB monitoring is required in each production process.The production process of PCB is very different from that of common products.Barcode, QR code or electronic label can be pasted on common products, but not on PCB.Because corrosive chemical solution is used in many PCB production processes.In order to solve this problem, a coding method based on relative coordinates and a graphic decoding method combining Hough transform and projection transformation are proposed.This method takes into account that the most commonly used NC drilling machine in PCB manufacturing enterprises.The graphic coding method uses the relative coordinates of holes drilled on the PCB.The relative coordinates of the holes centers represent the encoding information.The image decoding method uses the Hough transform and the projection transformation.First, the captured image is transformed by Hough transform, and the center coordinates of the image are detected.Secondly, the image is projective transformed by the centers of the most lateral four holes as the feature points.The distortion image is transformed into a regular image.Then, the image decoding is realized by calculating the relative coordinates of the centers.The practicability of the method and the correctness of the algorithm are verified by experiments.This method has been used in the PCB production line of an enterprise.
Survey of College Student Mobile Learning

According to the questionnaire survey, mobile learning has become a learning method pursued by college students, but there are also problems such as unclear mobile learning objectives, unsatisfactory mobile learning resources, and insufficient self-discipline in mobile learning. Improve the research and development of mobile courseware, strengthen time management, enhance self-monitoring, set learning goals, and improve learning efficiency.
Aphonic’s Voice: A Hand Gesture Based Approach to Convert Sign Language to Speech

As everyone knows that language has always been a barrier in the path of communication for the people speaking different languages. A person going to some other country can learn a new language or carry a dictionary to communicate but, specially-abled people such as deaf or profoundly deaf person can only use sign language for communication. In a world where people barely understand this language it does not helps a lot in curbing the issue. So, the purpose of this proposed system is to develop a translation tool which can reduce the communication gap by converting the real-time gesture-based signs to text and finally to speech. This paper will first at discuss the design to recognize the hand gesture as it is one of the fastest way to communicate. And further the discussion will be about recognizing the digit and perform operations in addition to recognizing the English alphabets to form words. The paper reviewed the current study status of application aiming to recognize the hand gestures, symbols and movements to convert it into numbers and alphabets, and further into words and then sentences. According to the research the application will work as a medium in between an aphonic person and a normal person or vice versa. This paper shows the status of the application, customized hand gestures, the methods, analyzing the strength and week points and lists all the challenging problems in current research of hand gestures used for aphonic people school etc.