Reviewerly/exHarmony huggingface dataset:
자치경찰의 민주적 통제를 위한 시도경찰위원회 구성 및 운영방안에 대한 제언

Korean police has had a dark history, mostly because of politcians like first president Syngman Rhee, who has abused the police power for a pursuit of political interest. So Korean police has been exploited improperly for manipulating the outcome of the election and intentionally surveilling the innocent people, who are then influential figures. Hence the political neutrality of Korean police has been debated. Even the Korean Constitution, which had been revised at 1960/6/15 had prescribed the political neutrality of Korean police as constitutional provision. In the near future korean police would be much stronger and more powerful because of benefit in return of reform of prosecution service and national intelligence service. Municipal police system is about to be implemented in the near future.At this very time, the political neutrality and independence of municipal police are significantly important. English tripartite system of municipal police could give Korea some guidance to follow, in that its police committee provides a representative character for local populations as well as substantive oversight and management function over municipal police under political neutrality. It is largely because it is an independent and specialized body which is composed of the elected local councillors of local parliament, magistrates of court and business representatives nominated by a central panel. We can also refer to Japan’s municipal police committee, which has stemmed from English triparite system, but is being “Japanized.” However we have to note that Japanese municipal police is considerably affected by the central government and the national police authority with minimum representativeness to local populations, although the municipal police is highly independent from its local government leader.Bills to introduce the Municipal Police in the 20th Assembly, especially Bill of Democratic Party of Korea is submitted after a great deal of discussions. However on the political system, where the executive branch and parliamentary branch is divided, so called “divided structure composition” of korean local autonomy the independent and substantive role of municipal police committee on the Bill of Democratic Party of Korea can not be realised easily. So we can refer to municipal police of English tripartite system in order to strengthen the weakness of the Bill, such as representativeness to local populations, independence and political neutrality. Through strengthening municipal police committee, municipal police itself could execute its own works in independent, fair and politically neutral way. It could definitely contribute to improving contentment of the local population for municipal police service.A divided structure on the level of local autonomy is principal based on Korean Local Government Act, not on Korean Constitution, especially in the domain of municipal police. So it is supposed that on the basis of Korean “divided structure composition” we can adopt English police committee system under tripartite system after due consideration.
ANALISIS MANAJEMEN PRODUKSI AQIQAH DI LEMBAGA AQIQAH NURUL HAYAT CABANG GRESIK

This research entitled Analysis of Aqiqah Production Management at the Aqiqah Nurul Hayat Institute, Gresik Branch, uses a type of qualitative research, which focuses on production management in the aqiqah service business. Aqiqah Nurul Hayat is one of the biggest aqiqah service centers because aqiqah Nurul Hayat reaches 65 aqiqah in Indonesia who contributed to the formation of the Islamic generation. Basically the practice of Islamic production management is very important and is needed both in the short term and long term in an aqiqah institution because it influences consumer interest in ordering aqiqah. The results of this study, the first is the practice of ordering aqiqah products using the salam agreement. The ordering system can be done by telephone which later on aqiqah Nurul Hayat will come to the house of the prospective buyer if asked to go to the house, but it can also be done directly at the head office, branch, or aqiqah bureau Nurul Hayat. In accordance with the analysis of production management according to the perspective of production management in Islam on production management in aqiqah Nurul Hayat, the Gresik branch starting from the order, processing, and delivery stages have been fulfilled and in accordance with Islam.
KHAZANAH TUMBUHAN DI PAPUA PADA KOLEKSI PERPUSTAKAAN PUSAT KONSERVASI TUMBUHAN- KEBUN RAYA BOGOR LIPI

The mission of the special library for government agencies is to provide library material and access to information for the parent institution, while one of its functions is to develop collections that support the performance of the parent institution so that the library plays an important role in research activities at the Center for the Conservation of Plants-Bogor Botanical Gardens (PKT-KRB) LIPI. The natural beauty of Papua attracts researchers both from within and outside the country to conduct research on its biodiversity, including researchers from PKT-KRB LIPI, therefore libraries are supposed to provide a collection of plants in Papua that can be used as a reference for research activities. The purpose of this study is to provide information about the library collections in PKT-KRB LIPI, especially those related to plants in Papua. Through literature study, the author explores the collections in the library to find out what collections are contained in the library which contains information on plants in Papua to be discussed in detail. The results of the study show that the number of collections containing information on plants in Papua in the period of publication from 1985-2019 includes: 17 books, 10 travel reports, and 6 proceedings. Suggestions for further study are to focus on one of the endemic plants in Papua with literature studies not only on collections in the library but extending to the results of research by PKT-KRB LIPI research staff.
NJUNLP’s Machine Translation System for CCMT-2020 Uighur $$\rightarrow $$ Chinese Translation Task

This paper describes our submitted systems for CCMT-2020 shared translation tasks. We build our neural machine translation system based on Google’s Transformer architecture. We also employ some effective techniques such as back translation, data selection, ensemble translation, fine-tuning and reranking to improve our system.
Developing Relationships Between Robots and Humans

As I learned more about the different things I could program a robot to do, I wanted to investigate whether I could make it interact with a human and thereby form a relationship. I was learning how to program Cozmo (a small robot powered by AI) using Calypso, a robot programming language developed by Professor David Touretzky at Carnegie Mellon University in America. At that time, I was assisting Professor Touretzky by testing various versions of Calypso which helped me learn about the wide range of functionality that Calypso has. For the past couple of months, I have been learning about Calypso and how to use it to program Cozmo to do various tasks. To make Cozmo do different intelligent activities that allow him to interact with a human, I learned how to use Calypso’s numerous programming features, which include perception, teleoperation, pursuit and consumption, conflict resolution, and speech and hearing. Using Calypso and Cozmo, I experimented with multiple different interactions. Ultimately, I was able to make Cozmo communicate, express emotions, and perform various tasks asked of him, thus developing the basis for a bond with a human. Cozmo can be helpful in many different situations and act as a pet or friend which a human could interact with. In the future, I would like to add more functionality to Cozmo, such as making him perform a wider variety of tasks and getting him to remember each person and his conversations with them. With this added functionality, Cozmo could be used much more effectively and could be very beneficial to many, like those who may not have anyone else to talk to. Cozmo will be able to listen and have conversations with a human, thereby creating a relationship with them.
A Fast-Effective Algorithm on A Concise Representation of Top Rated Utility Mining Datasets

The average of customer ratings on a product, which we call a reputation, is one of the key factors in online purchasing decisions. There is, however, no guarantee of the trustworthiness of a reputation since it can be manipulated rather easily. In this paper, we define false reputation as the problem of a reputation being manipulated by unfair ratings and design a general framework that provides trustworthy reputations. For this purpose, we propose Trust-reputation, an algorithm that iteratively adjusts a reputation based on the confidence of customer ratings. We also show the effectiveness of Trust-reputation through extensive experiments in comparisons to state-of-the-art approaches.
Healthcare-assisted technologies: recent advances, requirements and energy challenges

Ambient-assisted technologies offer valuable support for persons with special needs, such as older, ill or disabled persons. Relevant support includes assisting in daily life activities, monitoring health conditions, analyzing behavior or affective states and communicating information with caregivers. From a healthcare perspective, these developments are highly valuable and offer new possibilities in the areas of early prediction of diseases and prevention of associated risks. Smart healthcare applications in this context focus on daily activity recognition to provide assistive services for an independent life; on movement tracking and fall detection to prevent accidents and enable interventions; and on physiological health monitoring to assess the vital signals of ill patients and persons at risk. The aim of this paper is to provide an overview on recent activities and advances related to smart healthcare technologies in the context of ambient-assisted living. The paper presents recent studies related to physiological measurements and describes the main requirements and tools needed to realize such systems, including system design, smart sensors, process automation and trust and acceptance aspects. Finally, the paper discusses associated energy challenges and limitations for integrating smart healthcare systems in ambient-assisted environments.
Side Channel Assessment Platforms and Tools for Ubiquitous Systems

Abstract Side Channel Attacks are nowadays considered a serious risk for many security products and ubiquitous devices. Strong security solution providers need to evaluate their implementations against such attacks before publishing them on the market, thus performing a thorough assessment. However, this procedure is not straightforward and even with the appropriate equipment, it may require considerable time to provide results due to the slow process of collecting measurements (traces) and the inflexible way of controlling the tested implementation. In this chapter, we explore and overview the trace collection landscape for generic devices under test (including ubiquitous systems) highlighting and overviewing the latest trace collection toolsets and their shortcomings, but also proposing a trace collection approach that can be applied on the most recent, open source toolsets. We showcase our proposed approach on the FlexLeco project architecture, which we have developed in our lab, and manage to practically describe how an evaluator using the proposed methodology can collect traces easily and quickly without the need to completely redesign a control mechanism for the implementation under test.
A Deep Neural Network based efficient Software-Hardware Co-design Architecture for Sparsity Exploration

The presence of many zero values -- is a pervasive property of modern deep neural networks, as it is inherently induced by state-of-the-art algorithmic optimizations. Recent efforts in hardware design for acceleration of neural networks have targeted the structure of computation of these workloads. However, when run on these value-agnostic accelerators, value sparsity is not exploited to provide performance or efficiency benefits, and instead results in wasted computation. This paper presents the architectural optimizations that efficiently leverage value sparsity in network weights in order to achieve significant performance benefits, with minimal hardware overhead. The culmination of this work is a hardware front-end (data fetching and staging unit) which, when paired with our novel, co-designed software scheduling algorithm, achieves more than 2x speedup on average for the networks studied, with just an 8.2% overhead in compute area.
Differentially-Private Text Generation via Text Preprocessing to Reduce Utility Loss

To provide user-generated texts to third parties, various anonymization used to process the texts. Since this anonymization assume the knowledge possessed by the adversary, sensitive information may be leaked depending on the adversary's knowledge even after this anonymization. Moreover, setting the strongest assumptions about the adversary's knowledge leads to the degradation of the utility as the data by removing any quasi-identifiers. Therefore, instead of providing original data, a method to generate differentially-private synthetic data has been proposed. Differential privacy is more flexible than anonymization technologies because it does not require the assumption of the adversary's knowledge. However, if a large noise is added to the gradient in text generative model to satisfy differential privacy, the utility of the synthetic text is degraded. Since differential privacy can be satisfied with a small noise in data containing duplicates, it is possible to reduce utility loss as text by creating duplicates before adding noise. In this study, we reduce the amount of noise added by creating duplicates through generalization, thereby minimizing text utility loss. By constructing a differentially-private text generation model, we can provide synthetic text and promote text utilization while protecting privacy information in the text.
조선총독부 발행 1930~40년대 교과서의 보건ㆍ위생론

The theory of health and sanitation in 1930s textbooks emphasizes arousing a sense of hygiene. This pointed to the Joseon people''s hygiene, and they said to strive for the “public interest.” In the 1910s and 20s, the logic was that health and hygiene were necessary for filial piety, public interest and loyalty, but by the 1930s, filial piety and loyalty disappeared, and only “public interest” remained explicitly in textbooks. In addition, the description that the hygiene concept of Joseon people has not been spread still emphasizes the inferiority of Joseon people''s spirit. Another popular health and hygiene theory in 1930s textbooks is the emphasis on cleaning. It also intended to foster the spirit of labor through cleaning, reflecting the reality of vocational education emphasized in the revised Joseon Education Ordinance. And the usual physical training is also the main content of health and hygiene theory of health and hygiene.In the wartime system, a different theory of health and hygiene emerged than usual. Children needed health to grow into soldiers and producers. In addition, infectious diseases were recognized as cancerous to increase productivity, and they were also a major obstacle in avoiding air strikes in air defense shelters. Thus, injection was implemented as a preventive measure against epidemics, and the textbook included a unit called ‘injection’. At the end of the Japanese Colonial Period, he emphasized the state again, stating that mental and physical health was a requirement for the good people of the imperial army.
Challenges In Implementing Personalized Models In Student Education

With each passing day, consumers, particularly students, expect more intelligent and personalized services. The keyto providing such services is the concept of a personalized model. Applying appropriate personalized learning models to students is a process that is filled with many challenges. The main purpose of the current report is to explore the challenges that impede the design and implementation of models that are strictly customized to the interests of students. In order to achieve this goal, it is necessary to explore the contemporary factors that are essential in designing personalization models. The factors are mainly related to the requirements of the business towards professionalism among students, as well as the goals set by the state for the education improvement. In order to achieve this goal, it is also necessary to investigate the technologies by which the personalization of models is realized and by which successful implementation of the personalized models is ensured in the students' education.
PENGEMBANGAN MEDIA ARTICULATE STORYLINE PADA MATERI KLASIFIKASI MAKHLUK HIDUP KELAS X SMA

The study aimed to determine the feasibility and the response of teachers and students to Articulate storyline media on living creature classification material. This type of research is Research and Development (R&D) regarding the Borg and Gall development model which is limited to the seventh stage namely product revision. The data taken is data on the feasibility of validation results by experts and student and teacher response tests. The research instrument used a validation questionnaire and a response questionnaire. The data analysis technique used is quantitative descriptive analysis. The result showed that the assessment of material experts, media experts, linguists, and IT experts were 66,6%, 85,23%, 96%, and 85,64% respectively. The average assessment by experts was 83,38%. The percentage of the teacher readability test assessment was 91,83% and the percentage of the student readability test results was 92,85%. This value is included in the very feasible criteria. The percentage of teacher response test assessments was 84% and the percentage of student response test assessments was 84,82%. This value is included in the very good criteria. The assessment shows that the media Articulate Storyline in the living creature classification material for class tenth developed is suitable for use as a learning media.Kata kunci: Articulate Storyline, Borg and Gall, Klasifikasi Makhluk Hidup, Media Pembelajaran
Chromozone: aplikasi pemantau kadar nadi sistem ios semasa senaman menggunakan sistem kod warna universal (Chromozone: iOS-based exercise heart rate application using universal colour-coding system) / Adam Linoby …[et al.]

The conventional heart rate monitor is usually developed with a numeric digital display. This numerical view is obviously not practical to be used during exercise. In this study, the iOS-based mobile application, called Chromozone, was developed to monitor heart rate using the universal colorcoding system. The heart rate monitor during the exercise is designed to notify the exercise intensity information to users using the three universal color-coded (i.e. green zone: optimal heart rate; yellow zone: heart rate lower than the optimal zone, and red zone: heart rate higher than the optimal zone). Chromozone is programmed to display uniform colors across the smart phone display, which allows users to easily be informed in regards to the state of exercise intensity. The transfer of heart rate data from the chest transmitter to Chromozone application is designed to use Bluetooth Low Energy (BLE) system technology. The heart rate data is then processed by the application to determine the intensity range of exercise training heart rate based on the user’s personal input (i.e. age, gender, fitness levels and training objective). Preliminary analysis found that Chromozone application is effective in delivering real-time exercise intensity heart rate. Chromozone could potentially help athletes, active individuals and clinical populations to monitor and regulate their workout training regime in a more effective and safer manner.
Neural Computing.

This chapter aims to provide next-level understanding of the problems of theworld and the solutions available to those problems, which lie very well withinthe domain of neural computing, and at the same time are intelligent in theirapproach, to invoke a sense of innovation among the educationalists,researchers, academic professionals, students and people concerned, byhighlighting the work done by major researchers and innovators in this fieldand thus, encouraging the readers to develop newer and more advanced techniquesfor the same. By means of this chapter, the societal problems are discussed andvarious solutions are also given by means of the theories presented andresearches done so far. Different types of neural networks discovered so farand applications of some of those neural networks are focused on, apart fromtheir theoretical understanding, the working and core concepts involved in theapplications.
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems

In this paper we investigate speech denoising as a defense against adversarial attacks on automatic speech recognition (ASR) systems. Adversarial attacks attempt to force misclassification by adding small perturbations to the original speech signal. We propose to counteract this by employing a neural-network based denoiser as a pre-processor in the ASR pipeline. The denoiser is independent of the downstream ASR model, and thus can be rapidly deployed in existing systems. We found that training the denoisier using a perceptually motivated loss function resulted in increased adversarial robustness without compromising ASR performance on benign samples. Our defense was evaluated (as a part of the DARPA GARD program) on the 'Kenansville' attack strategy across a range of attack strengths and speech samples. An average improvement in Word Error Rate (WER) of about 7.7% was observed over the undefended model at 20 dB signal-to-noise-ratio (SNR) attack strength.
SECURE DATA TRANSMISSION USING HYBRID CRYPTOGRAPHY

As large amount of data is transmitted over the network, it is preliminary to secure all types of data before sending them. This is achieved through security controls. Protecting the information transmitted over the network is a difficult task and the data security issues become increasingly important. To improve the data transmission over the public network is very essential aspect. Cryptography provides some methods for securing the data. It is important to prevent the data from being infected by an intruder. To transmit the data efficiently, both speed and security play a vital role. In this project, Hybrid cryptography has been used in which it makes use of two algorithms they are RSA and AES. The RSA algorithm provides the security for the data and the AES algorithm provides fast encryption speed. By combining these two algorithms we can achieve both security and fast encryption speed.
A New Interval Type-2 Fuzzy PRISM Algorithm

Interval type-2 rule-based fuzzy systems become popular in the last years. However, the complexity of operations on an interval membership values cause that there are only a few methods that allow inducing type-2 fuzzy rules from data. Moreover, the existing algorithms most often rely on the induction of decision trees and can lead to an overly large rule base. For those reasons, the form of fuzzy rules is most often determined by an expert. In this paper, we would like to introduce a new rule induction algorithm based on the PRISM strategy. As the exemplary application of the proposed method show, it allows obtaining the rule base that is more compact and more manageable.