Reviewerly/exHarmony huggingface dataset:
Sistem Pakar Online Pendeteksi Penyakit Tanaman Adenium Dengan Metode Prototyping

- This adenium plant is a plant that began to demand by many hobbyist plants because plants have unique characteristics Adenium. In addition adenium treatment is also very easy, but adenium plants are also susceptible to pest disease, so it becomes a disease that can make this adenium plant damaged or dead. The lack of expert on adenium plant diseases causes the hobbyists to find it difficult to recognize the symptoms and ways to cure when the plant is infected with the disease. This expert system is made to facilitate the hobbyists in coping with adenium plant diseases. The method used in this expert system is forward chaining, because the Forward Chaining method is a suitable method for the control and forecasting of adenium plant diseases. This expert system application will display the question about the symptoms of adenium plant disease that attack and can be found the solution by experts who have experienced in their field, after that the system will display the results of the disease that attacks his adenium plants along with the characteristics and how to cope with the disease. Keywords: Adenium, Expert System, Forward Chaining
Let's Transfer Transformations of Shared Semantic Representations

With a good image understanding capability, can we manipulate the images high level semantic representation? Such transformation operation can be used to generate or retrieve similar images but with a desired modification (for example changing beach background to street background); similar ability has been demonstrated in zero shot learning, attribute composition and attribute manipulation image search. In this work we show how one can learn transformations with no training examples by learning them on another domain and then transfer to the target domain. This is feasible if: first, transformation training data is more accessible in the other domain and second, both domains share similar semantics such that one can learn transformations in a shared embedding space. We demonstrate this on an image retrieval task where search query is an image, plus an additional transformation specification (for example: search for images similar to this one but background is a street instead of a beach). In one experiment, we transfer transformation from synthesized 2D blobs image to 3D rendered image, and in the other, we transfer from text domain to natural image domain.
Pixelated Semantic Colorization

While many image colorization algorithms have recently shown the capability of producing plausible color versions from gray-scale photographs, they still suffer from limited semantic understanding. To address this shortcoming, we propose to exploit pixelated object semantics to guide image colorization. The rationale is that human beings perceive and distinguish colors based on the semantic categories of objects. Starting from an autoregressive model, we generate image color distributions, from which diverse colored results are sampled. We propose two ways to incorporate object semantics into the colorization model: through a pixelated semantic embedding and a pixelated semantic generator. Specifically, the proposed convolutional neural network includes two branches. One branch learns what the object is, while the other branch learns the object colors. The network jointly optimizes a color embedding loss, a semantic segmentation loss and a color generation loss, in an end-to-end fashion. Experiments on PASCAL VOC2012 and COCO-stuff reveal that our network, when trained with semantic segmentation labels, produces more realistic and finer results compared to the colorization state-of-the-art.
Some Peculiarities of Instrumental Accompaniment of Folk Choir

The article reveals the specificity of instrumental accompaniment, which is used in folk choral groups. There are several types of performing accompaniment compositions: orchestra, ensemble, solo instrument. The choice of the performers must be a conditioned repertoire, which can include both author's works and the processing of folk songs. A great influence on the formation of the performing instrumental composition is provided by the genre of the song. Preference should be given to those instruments that are widely represented in the national performance, but will not be disharmonized within the chosen genre. The function of instrumental accompaniment is to complement, support, and draw the sound of the choir. We should strive for a timbre ensemble of vocal and instrumental beginnings.
The Photometric Stereo Approach and the Visualization of 3D Face Reconstruction

The 3D Morphable models of the human face have prepared myriad of applications in computer vision, human computer interaction and security surveillances.However, due to the variation in size, complexity of training data set, the landmark mapping, the representation in real time and rendering or synthesis of images in three dimensional is limited.In this paper, we extend the approach of the photometric stereo and provide the human face reconstruction in three dimensional.The proposed method consists of two steps.First it automatically detects the face and segment the iris along with statistical features of pupil location in it.Secondly it provides the selection of minimum six features and where iris process to generate the 3D face.In compare with existing methods our approach provides the automation which produces more better and efficient results in contrast to the manual methods.
Video Acara Pinang TV Guna Informasi Pada Kecamatan Pinang Kota Tangerang

It's important to access information today, because everyone's information will know it. Pinang Subdistrict is a district in Tangerang city area. Pinang subdistrict is the only service that has Pinang TV. The purpose of this research is to reach the target of the Pinang sub-district in terms of conveying information through the Pinang TV show located in the Tangerang City district to the public. The research methods used in this research include Data collection, Media planning analysis, and Media production concept (KPM) which includes: Pre production, production, and post production. Through the information media Pinang TV Kecamatan Pinang Tangerang City is designed to be informed via: Youtube, Website. The Target is hoped that the district of Pinang is, people can know the awareness that is in the district of Penang that exist in the city of Tangerang, and can increase the number of spectators who see the event Pinang TV.
Industry-Education Integration Mechanism About Electronic Engineering Talents Training System in Industry-Oriented Local Universities Under the Background of New Subjects

Chongqing University of Posts and Telecommunications (CQUPT) is an industry-oriented local university which is jointly built by the Ministry of Industry and Information Technology (MIIT) and the Chongqing Municipality. It has been developing the training of talents for the major of electronic engineering for several decades. The strategy of developing electronic information industry in Chongqing has brought new opportunities and challenges for schools to train electronic engineering talents adapted to industrial and regional economic development. Under the background of the new engineering education, in order to actively adapt to the needs of local economic development, improve the quality of talent training, enhance the regional contribution of schools and the influence of the industry. CQUPT has constructed a training system for electronic engineering talents by absorbing the requirements of new subject construction and the concept of Engineering certification, which taking integration of Industrial Education and Scientific Education as the core. In this paper, the fusion mechanism of Industrial Education and Scientific Education in the system is discussed, so as to provide a reference for the construction of new disciplines related to those similar universities.
Denoising convolutional autoencoder based B-mode ultrasound tongue image feature extraction

B-mode ultrasound tongue imaging is widely used in the speech production field. However, efficient interpretation is in a great need for the tongue image sequences. Inspired by the recent success of unsupervised deep learning approach, we explore unsupervised convolutional network architecture for the feature extraction in the ultrasound tongue image, which can be helpful for the clinical linguist and phonetics. By quantitative comparison between different unsupervised feature extraction approaches, the denoising convolutional autoencoder (DCAE)-based method outperforms the other feature extraction methods on the reconstruction task and the 2010 silent speech interface challenge. A Word Error Rate of 6.17% is obtained with DCAE, compared to the state-of-the-art value of 6.45% using Discrete cosine transform as the feature extractor. Our codes are available at https://github.com/DeePBluE666/Source-code1.
Studying EM Pulse Effects on Superscalar Microarchitectures at ISA Level

In the area of physical attacks, system-on-chip (SoC) designs have not received the same level of attention as simpler micro-controllers. We try to model the behavior of secure software running on a superscalar out-of-order microprocessor typical of more complex SoC, in the presence of electromagnetic (EM) pulses. We first show that it is possible, in a black box approach, to corrupt the loop iteration count of both original and hardened versions of two sensitive loops. We propose a characterization methodology based on very simple codes, to understand and classify the fault effects at the level of the instruction set architecture (ISA). The resulting classification includes the well established instruction skip and register corruption models, as well as new effects specific to more complex processors, such as operand substitution, multiple correlated register corruptions, advanced control-flow hijacking, and combinations of all reported effects. This diversity and complexity of effects can lead to powerful attacks. The proposed methodology and fault classification at ISA level is a first step towards a more complete characterization. It is also a tool supporting the designers of software and hardware countermeasures.
Clustering with Jointly Learned Nonlinear Transforms Over Discriminating Min-Max Similarity/Dissimilarity Assignment

This paper presents a novel clustering concept that is based on jointly learned nonlinear transforms (NTs) with priors on the information loss and the discrimination. We introduce a clustering principle that is based on evaluation of a parametric min-max measure for the discriminative prior. The decomposition of the prior measure allows to break down the assignment into two steps. In the first step, we apply NTs to a data point in order to produce candidate NT representations. In the second step, we preform the actual assignment by evaluating the parametric measure over the candidate NT representations. Numerical experiments on image clustering task validate the potential of the proposed approach. The evaluation shows advantages in comparison to the state-of-the-art clustering methods.
Rare geometries: revealing rare categories via dimension-driven statistics

In many situations, classes of data points of primary interest also happen to be those that are least numerous. A well-known example is detection of fraudulent transactions among the collection of all financial transactions, the vast majority of which are legitimate. These types of problems fall under the label of `rare-category detection.' There are two challenging aspects of these problems. The first is a general lack of labeled examples of the rare class and the second is the potential non-separability of the rare class from the majority (in terms of available features). Statistics related to the geometry of the rare class (such as its intrinsic dimension) can be significantly different from those for the majority class, reflecting the different dynamics driving variation in the different classes. In this paper we present a new supervised learning algorithm that uses a dimension-driven statistic, called the kappa-profile, to classify whether unlabeled points belong to a rare class. Our algorithm requires very few labeled examples and is invariant with respect to translation so that it performs equivalently on both separable and non-separable classes.
Pelatihan menulis paragraf deskripsi bagimahasiswa Jurusan Bahasa Inggris

This Community Service aims at helping students of the English Department FBS UNM to write description paragraphs by using pictures. The presentation material consists of the concepts of writing comprehension and the use of pictures as media to write description paragraphs in English in various themes in writing descriptions of people, objects, and places. The methods used are lecturing, discussion, assignment, training, evaluation, and feedback. The result of this training is that students of English Department have high enthusiasm and motivation in learning English particularly in writing description paragraphs. Moreover, the Training of Writing Description paragraphs by Using Pictures as Media can improve students' ability to write description paragraphs, individually, in pairs, or in groups.
English Teaching Experience At Smkn 2 GedangsariGunungkidul : A Phenomenological Perspective

This study aims to describe the perspective of teachers in the experience of teaching English at SMKN 2 Gedangsari Gunungkidul and several problems that exist duringteaching. This research is descriptive qualitative. The researcher used interview to gather perspectives in the experience of English teachers in learning process. Theinterview is the right technique for collecting data. The interview is a valuable method for exploring information from participant to get narrative data in a naturalsetting. The subject of the study was a English teachers namely NTL who has been worked at SMKN 2 Gedangsari Gunungkidul since 2008 year. The object of the research is the story and statement of the English teacher at SMKN 2 Gedangsari Gunungkidul. To analyze the data, the researcher used a hermeneutic phenomenological approach. The results show that: 1) the teacher’s experience perspective to teach english feels happy, annoyed, disappointed, sad and proud of the student’s enthusiam, 2) the problems in teaching English include the teacher feels the geographical factor of the student environment is an obstacle for students to learn,the students’ academic report was sent to parents by the teacher and inadequate school facilities become obstacles for teachers.
INNOVATIVE TRAINING – REFORMS, MENTORY, APPLICATION

The article discusses the normative and activity-pragmatic changes in Bulgarian education. Innovation is considered to be a strong driver for improving the quality of education. It presents the normative, scientific and pragmatic characteristics of pedagogical innovation. At the same time, it presents its application function in real time – through the work of an innovation mentor, an innovator teacher and its students. On an operational level, innovation is seen through the effective use of ICT as well as through its value-reflection – the development of cooperation, empathy and volunteering.
Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning

The game of Chinese Checkers is a challenging traditional board game of perfect information that differs from other traditional games in two main aspects: first, unlike Chess, all checkers remain indefinitely in the game and hence the branching factor of the search tree does not decrease as the game progresses; second, unlike Go, there are also no upper bounds on the depth of the search tree since repetitions and backward movements are allowed. Therefore, even in a restricted game instance, the state-space of the game can still be unbounded, making it challenging for a computer program to excel. In this work, we present an approach that effectively combines the use of heuristics, Monte Carlo tree search, and deep reinforcement learning for building a Chinese Checkers agent without the use of any human game-play data. Experiment results show that our agent is competent under different scenarios and reaches the level of experienced human players.
Aspects of software naturalness through the generation of identifier names

Modern-day programming can be viewed as a form of communication between theperson who is writing code and the one reading it. Nevertheless, very often developersneglect readability of software, and even well-written code becomes lesscomprehensive through the course of software evolution. In this work, we studyhow naturalness of source code written in Pharo allows us to train machine learningmodels that extract semantic information from method’s body and map it to a shortdescriptive name. We collect a dataset of methods from 10 biggest projects writtenin Pharo and build an attention-based sequence to sequence network that generatesmethod names by translating source code into a couple of English words. We evaluateour model on an independent test set and report the precision of over 50%. Toour knowledge, this is the first application of machine learning and natural languageprocessing to the source code of Pharo.
Forward secure ID based ring signature for data sharing

Cloud computing provides services where one can access information from any place, from anywhere, at any time. So basically cloud computing is subscription based service where one can obtain network storage space and computer resources for data storage as well as data sharing. Due to high fame of cloud for data storage and sharing, a large number of participants gets attracted to it. The security is the biggest concern for the adoption of the cloud. The major issues in this regard are efficiency, data integrity, privacy, and authentication. In order to handle these issues concept of a ring, the signature has been introduced for data sharing amongst a large number of users. Ring signatures are used to provide user’s anonymity and signer’s privacy. But the expensive certificate verification within the ancient Public Key Infrastructure (PKI) setting becomes a bottleneck for this solution to be scalable. ID-based ring signature had been introduced which eliminates the process of certificate verification. Further enhancement of security with forwarding security concept has been introduced. According to this idea, if a secret key of any user has been compromised; all previously generated signatures that embrace this user still stay valid. This property is very vital to any giant scale knowledge sharing system because it is not possible to raise all knowledge data owners to re-authenticate their data whether or not a secret key of 1 single user has been compromised. Thus we propose a secure ID-based ring signature with forwarding security.
Do non-free LCD codes over finite commutative Frobenius rings exist?

In this paper, we clarify some aspects on LCD codes in the literature. We first prove that a non-free LCD code does not exist over finite commutative Frobenius local rings. We then obtain a necessary and sufficient condition for the existence of LCD code over finite commutative Frobenius rings. We later show that a free constacyclic code over finite chain ring is LCD if and only if it is reversible, and also provide a necessary and sufficient condition for a constacyclic code to be reversible over finite chain rings. We illustrate the minimum Lee-distance of LCD codes over some finite commutative chain rings and demonstrate the results with examples. We also got some new optimal $\mathbb{Z}_4$ codes of different lengths {which are} cyclic LCD codes over $\mathbb{Z}_4$.
Fully Invisible Protean Signatures Schemes.

Protean signatures (PSs), recently introduced by Krenn et al. (CANS ‘18), allow a semi-trusted third party (the sanitiser), to modify a signed message in a controlled way: the signer can define the message parts to be arbitrarily editable by the sanitiser, as well as message parts which can be redacted (but not altered otherwise) by the sanitiser. Thus, PSs generalise both redactable signatures (RSs) and sanitisable signatures (SSs) into a single notion. Invisibility for PSs guarantees that no outsider (i.e. any party not being signer or sanitiser) can decide which message parts can be edited. However, the current definition of invisibility does not prohibit that an outsider can decide which parts are redactable – only which parts can be edited are hidden. This negatively impacts the privacy guarantees provided by this definition. The authors extend PSs to be fully invisible. Their notion guarantees that an outsider can identify neither editable nor redactable parts. They, therefore, introduce the new notions of invisible RSs and invisible non-accountable SSs ( S S ′ ), along with a consolidated framework for aggregate signatures. Using those building blocks, their resulting construction is significantly more efficient than the original scheme by Krenn et al., which they demonstrate in a prototypical implementation.
Deep Learning-based Concept Detection in vitrivr at the Video Browser Showdown 2019 - Final Notes

This paper presents an after-the-fact summary of the participation of the vitrivr system to the 2019 Video Browser Showdown. Analogously to last year's report, the focus of this paper lies on additions made since the original publication and the system's performance during the competition.
Role of Mobile Phone for English Language Teaching

Mobile phone is a recent technology in teaching English. Mobile phone provides simple and easy way in developing teaching and learning activities, therefore, the researcher was interested in finding the data information about the role of mobile phone for English language teaching. The utilization of mobile phone offers valuable opportunities for creating an effective teaching strategy. The students' perspectives are crucial for getting their views of role of mobile phone in language teaching. This case study was to find out the students' perspectives of mobile phone role in English language teaching. A qualitative design was employed for the purpose of getting the data. Mainly semi structure interview was used as the research instruments. The result of her research finding showed that most students were having good response towards the usage of mobile phones in language learning but some findings shown that the problems were also occurred at the same moment of using it. These research findings were contributed the next research for more deeply dig for language learning.
TEACHING METHOD BASED ON OODA LOOP IN UNDERGRADUATE BUSINESS MANAGEMENT EDUCATION

ABSTRACT Recently, with the spread of active learning (AL), various types of teaching methods have been proposed in the field of business management education. To understand a pragmatic science like business administration, students need to learn it through three sequential steps: (1) acquiring knowledge, (2) structuralizing knowledge, and (3) generalizing knowledge. However, it is difficult for undergraduate students who do not have business experience to learn steps (2) and (3) without significant time and effort. In this situation, we proposed teaching methods based on a PDCA cycle, combining Role-playing and Metaphor. However, we found that the results differed depending on how group work was carried out. To solve this problem, we propose a new teaching method based on the OODA loop. We conducted an experimental class and demonstrated the effectiveness of our new proposal. Keywords Management Education, PDCA cycle, OODA loop, Experimental Study, Active Leaning