Reviewerly/exHarmony huggingface dataset:
Assistance on Writing Scientific Papers for Students of Nusaniwe Village

Nusaniwe Student Association (IKAMAPENUSA) in Ambon City is an organization formed on the initiative of several educational figures from Negeri Nusaniwe (in Ambon City; the village is referred to as Negeri) with the aim of helping to develop the role of students in developing themselves, both in terms of academics and organizations. Observing the dynamics of plagiarism among students, the Stimulus Community Partnership Program (PKMS) team from Indonesia Christian University (UKIM) of Maluku, Ambon, took the initiative to approach IKAMAPENUSA to discuss issues related to their assignments as students. From the results of the discussion, it appears that there are a lot of problems they face, for example: (1) Lack of direction from teachers and lecturers related to the tasks assigned; (2) Lack of knowledge on how to look for good, well-categorized scientific literature; (3) lack of mastery of paraphrasing techniques; (4) lack of mastery of scientific writing techniques required by universities and schools; (5) Lack of mastery of technology related to quotations and bibliography such as Mendeley. The output of this activity has been published in Mimbar Rakyat News electronic mass media (http://mimbarrakyatnews.com/tim-pkms-ukim-gelar-penulisan-karya-ilmiah-bebas-plagiat-2/), and the video of activities has been uploaded to YouTube channel of UKIM TV (https://www.youtube.com/watch?v=tg-Cqn0-zao).
Barriers in pedagogical communication

The field of research in this paper is aimed at examining the opinions of teachers and students in primary schools on the barriers in pedagogical communication in the classroom. The sample included one hundred and twenty-eight teachers and two hundred and ninety-seven students from VII to IX grade from seven primary schools from the southern and northern parts of Montenegro. The analysis of the results shows that there are more or less barriers, although there are also significant differences in the opinions of teachers and students regarding different barriers in pedagogical communication. Most teachers believe that barriers in pedagogical communication do not arise because of the source (teacher), but that the problem exists in other elements of the process.
Web-Based Expert System To Detecte Chili Desease Using Rule Base Reasoning Approach

Abstract Along with the progress of global Era, the development of science is also growing rapidly especially for the progression of technology, information and communication. Artificial intelligence is part of computer science specifically aimed for designing intelligent automation of behavior in system of computer intelligence. Expert system as part of the application of artificial intelligence is for combining knowledge, facts and search technique to solve the problem that normally requires expertise from an expert. One of directions from the system of expert in agriculture is the system expert for detecting diseases of chili plant. In this study, the expert system was designed to detect disease of chili plants on web-based using the rule-based reasoning approach method, because the method can decide a disease of chili plant with a set of facts - symptoms or symptoms that exist in a sequential manner and this approach can also provide an explanation of the steps in achieving the solution for the disease. Web-Based Expert System To Detecte Chili Desease Using Rule Base Reasoning Approach is expected to solve the problems in agriculture quickly, precisely and accurately especially for the chili’s farmer.
A Novel AES Random Mask Scheme Against Correlation Power Analysis

With the wide application of smart card, people’s demand for the security of smart card is increasing. The Advanced Encryption Standard (AES) algorithm in smart card itself is safe enough, but the encryption algorithm is still threatened by side-channel attacks due to time, power consumption, electromagnetic radiation, and other information leakage during operation. Aiming at the shortcomings of existing mask schemes in security, a smart card AES encryption NARMS mask against side-channel attack is proposed. This scheme calculates the random mask according to the random hamming weight value and random integer, selects three rounds of random selection and NARMS random mask strategy for protection in the first, second, and ninth rounds of AES algorithm, optimizes and improves the design of the random mask and the overall process of mask protection. The mask scheme designed in this paper is comprehensively compared with ordinary AES algorithm, fixed value mask scheme and rotating S-box masking scheme (RSM). Experiments show that this scheme can effectively resist the first- and second-order correlation power analysis (CPA) attacks and has high efficiency, thus ensuring the key security of AES algorithm and privacy security of smart card application.
K-Means method for analysis of accident-prone areas in Palangka Raya

Abstract Traffic accidents are the most feared thing for everyone. Even though people are careful using vehicles, accidents can occur. This can be caused by humans not obeying traffic rules, drowsiness, damaged roads, and bad weather. In recent years the accident rate in Palangka Raya has increased sharply and even resulted in death. Accidents often occur in different places and times, making it difficult to determine accident-prone areas. By utilizing data mining techniques using the K-Means method, it can explore information on areas where accidents occur frequently. So that it helps the police in providing signs of accident-prone areas. The results of the study stated the K-Means Clustering algorithm in determining the accident-prone point of success obtained by 68%.
Comparing the Ergonomics of Gestural Interfaces While Running on a Treadmill

Interactions with treadmills are based on pressing buttons or through a touchscreen. However, these interactions require the user to touch the frontal dashboard of the treadmill while running. Indeed, for each interaction that the runner does, the user needs to break her/his running form to reach the interface. Those actions cost also some additional energy to the runner with a possible impact on performance. Current technologies allow finding a better solution for the runner like gesture-based interaction. This paper presents a comparison of different interaction modalities, including gestures, on a treadmill. The goal of this study is to analyze the ergonomics of gestural interfaces while running on a treadmill. In fact, specific tailored gestures are perceived as more natural and easier to perform while doing an activity and can improve significantly the user experience.
The Electronic Revolution

Electronic music has come a long way since the days when it was associated almost exclusively with science fiction in people’s minds. In this chapter we trace the early history of the genre, from early experiments with tape recorders and musique concrète, through the laboratory-based work of composers like Karlheinz Stockhausen and Pierre Boulez—not to mention the BBC’s Radiophonic Workshop, which was responsible for the Dr Who theme tune—to the use of computers in “algorithmic composition”. After that we see electronic music entering the mainstream, with the work of pioneering artists like Brian Eno, Tangerine Dream and Wendy Carlos, who produced the soundtrack for Stanley Kubrick’s A Clockwork Orange.
Cryptosystem Based on Hybrid Chaotic Structured Phase Mask and Hybrid Mask Using Gyrator Transform

A novel asymmetric cryptosystem grounded on hybrid chaotic structured phase mask and hybrid mask using gyrator transform is proposed in this paper. Asymmetric cryptosystem primes to different keys for encryption and decryption of an image. To improve the security of the scheme, we introduce hybrid chaotic structured phase mask (HCSPM) instead of random phase mask (RPM). CSPM is a combination of structured phase mask (SPM) and logistic map in the algorithm, and usage of it leads to extra security for the scheme. SPM is made by using Fresnel zone plates and radial Hilbert transform. The different parameters used in the algorithm provide extra key space and benefits to fortify the system. The proposed scheme is vigorous against numerous attacks.
Designing for Tangible (Un-)Connectedness

This one-day workshop aims to take a critical stance towards designs for connecting or re-connecting individuals, who are geographically separated, ranging from family members and friends to work colleagues. We would like to discuss and materialise different aspects of remote connections, such as spatial conditions or the evanescence of being connected and respective ephemeral designs. From participants we aim to hear success stories of tangibly connecting people over distance, failures of doing so, as well as critical designs that highlight the potentially negative aspects of being geographically dislocated. The workshop will engage with the experience of living at a distance hands-on through prototyping material artifacts as manifestations of distance, ephemerality, etc.
Neural-Guided Particle Swarm optimization

In this paper, we present a new form of particle swarm optimisation (PSO) in which each particle uses an artificial neural network (ANN) to guide its movements. Information about each of the particle's informants is passed as input to the ANN and the ANN's outputs are then used to select which informant to follow at the next iteration. Using a distributed evolutionary process, each particle's ANN is able to learn about the solution landscape over the course of an optimisation run, potentially allowing the particle to avoid unfavourable regions. An initial evaluation of this approach using a suite of 5 continuous optimisation functions suggests that it improves performance, managing to get consistently closer to the global optima than conventional PSO on all of these problems. An analysis of the trajectories indicates that the behaviour of the algorithm is quite different to conventional PSO, with a much higher degree of exploration than the baseline PSO algorithm.
Editorial Design of Interactive Picture Book with Mobile Application Based on Uxd User Experience Design

This research presents an interactive human-computer learning system model applying adaptive editorial design. The proposal aims to generate an interactive picture book and a mobile application based on user experience design (UxD). The results will be obtained using UX metrics and will have the particularity of working with the technique of participatory design and reticular deconstruction. This book includes its presentation as an audiobook and an editorial composition with pop-ups and pages to paint.
Automatic Generation of a Thesaurus for Language and Communication Disorders Based on Natural Language Processing and Ontologies

The scientific, technical, legal, statistical, informative and journalistic production on disability is increasingly extensive because it is one of the most relevant issues on the social agenda and this has led to public awareness has increased and institutional initiatives have proliferated. This has led to an increasing number of documents, references and data available on disability and specifically language and communication disorders, which implies that the activity of document management in this field has gained special importance. This thesaurus is available to consume them through web services and users in order to generate a useful tool for the organization, indexing and characterization of documents, applications, articles and that translates into a more adequate cataloging and a more efficient recovery based on natural language processing techniques and ontologies. Finally, the coverage of the Thesaurus of language and communication therapy is not restricted, in terms of its linguistic scope, exclusively to the Spanish language, but using translation API, language independence is generated, and it is possible to apply it to Any type of application.
Text Mining to Understand Major Keywords Explaining Sentiments of Travelers Using Travel Related Online Services in India

This paper aims to explain and elaborate integration of two words netnography and mining. Netnography has been accepted and used as universal tool for performing online ethnography in various fields. This paper also focuses on the relevance of text mining in consumer research and how it is used to analyze consumer opinions on online travel related services using text mining tool named RapidMiner. The results obtained offers clear understanding of key terms and tokens which help us identify various words explaining satisfaction of travelers through the use of text based mining along with travel ratings collected via reviews and referral site, and social media platforms in India.
Cyber Security System With SIEM And Honeypot In Higher Education

Abstract Communication science and information technology (ICT) has been progressing and contain complex implication for individual, groups and inter-country relationship. Along with ICT evolution, threats (including theft of information) increase and electronic systems are adopted. As a government agency in higher education with the country’s strategic data, XYZ cannot escape hackers trying to access the assets. Strategic assets include system and company’s data as well as systems and data which might be taken for granted by irresponsible parties. Therefore, it is necessary to secure information and data systems in XYZ. Moreover to test whether the implemented cyber security system can optimally standardize the company’s information and data systems. The application of Security Information Event Management (SIEM) to cyber security systems to detect incoming threat alerts and block access to suspicious threats. While the honeypot is used to deceive the hacker into a fake system intentionally attacked and learning the tricks that intruders use when performing the action. The results of the test of the application of SIEM and Honeypot at XYZ can monitor the monitoring of information system and data-related threats in real-time, and deter and transmit cyber-attacks to adequately protect information security so that the use of cyber security systems with SIEM &amp; Honeypot can secure the information and data systems owned by XYZ optimal.
ThaiFlick

Composing messages with virtual keyboard is a challenging task especially for Thai messages. There are too many Thai characters to fit a mobile keyboard. Moreover, screens of smartphones are so small that those having big fingers frequently tap on undesired keys. This paper introduces a Thai keyboard layout that helps improve typing performance on smartphones. It adopts Japanese Flicked layout along with intuitive key arrangement based on character arrangement in Thai words. In addition, it provides word suggestion based on the sound of the entered characters. Users can just type characters having the same sound of the desired alphabet without correctly typing all required characters. Our experiments show that ThaiFlick outperforms the existing Ketmanee layout on mobile devices.
REVIEW OF AUTONOMY IN TODAY'S EDUCATION

Our decision making power without interfering with others is known as truth. And if it is studded with education, then a very important issue comes up. Today many political influences and other interventions can also be seen in the field of education. Which also raises questions about the future of the country. Today, there is a need for such revenge which prevents the autonomy of education from being chaotic. Here my focus in this article is from Badlau on the ground level. Neither I will disclose the reports of any commissions here nor give any statistics related to education nor present references based on research related to UGC or any other institute. Rather, these are purely articles based on my own personal experiences, observations and suggestions.The form of today's education system has become very distorted. Business has become more than education service. Today's teachers are nothing more than monthly salary. I would like to start with the example of Rabindranath Tagore. He himself was estranged in childhood due to rote studies of schooling system and beating of teacher. Which made an impact on his Balaman for a lifetime which later became the brick of the foundation for his establishment of Santiniketan. He was well acquainted with the education system and education. It is important to have both students and teachers in education. But here if the independence becomes anarchy and anarchy, then the future is bound to be perverted. Where is the mango sown from Acacia tree. Under the guise of this system, both teachers and students are arbitrary.&#x0D; &#x0D; दुसरो से हस्तक्षेप किये बिना हमारे स्यम के फैसले लेने की शक्ति को स्यायत्तता के रूप मे जाना जाता है। और यदि यह शिक्षा से जड़ी है तो बहुत ही महत्वपूर्ण मुद्दा बनकर सामने आती हैं। आज शिक्षा के क्षेत्र मे भी कई राजनीतिक प्रभाव व अन्य हस्तक्षेप देखे जा सकते हैं। जो देश के भविष्य पर भी प्रश्न चिन्ह खड़ा करते हैं। आज जरूरत हैं ऐसे बदलाओ की जो शिक्षा की स्वायत्तता को अराजक होने से भी रोके। यंहा इस लेख में मेरा केंद्र बिंदु जमीनि स्तर पर बदलाओ से है। ना तो मैं यहाँ किन्ही आयोगों की रिपोर्टों के खुलासा करूँगी न ही शिक्षा से जुड़े कोई आंकड़े बताउंगी और ना ही यूजीसी अथवा अन्य किसी संस्थान से जुड़े शोध पर आधारित सन्दर्भ पेश करूँगी। बल्कि यह पूरी तरीके से मेरे अपने निजी अनुभवो अवलोकनों व सुझावों पर आधरित लेख हैं।आज की शिक्षा पद्धति का रूप बेहद विकृत हो चुका है। शिक्षा सेवा की बजाय व्यवसाय अधिक हो गयी हैं। आज के शिक्षक मासिक तन्ख्वाह पाने वाले चाकर से अधिक कुछ नही है। मैं अपनी बात रवीन्द्रनाथ ठाकुर के उदाहरण से आरंभ करना चाहूंगी। स्वयं उन्हें भी बचपन मे ही स्कूली शिक्षा पद्धति की रटाऊ पढ़ाई व शिक्षक की पिटाई की वजह से विलगाव हो गया था। जिसने उनके बालमन पर जीवनभर के लिए प्रभाव डाला जो आगे चलकर उनके द्वारा शांतिनिकेतन की स्थापना के लिए नीवं की ईंट बना। वे शिक्षा व्यवस्था व शिक्षा की स्यायत्तता से भलिभांति परिचित थे। शिक्षा में छात्रों व शिक्षको दोनो की स्यायत्तता होना जरूरी हैं। परंतु यहीं स्यायत्तता अगर स्वछंदता व अराजकता बन जाये तो भविष्य का विकृत होना तय है।मैं इस पंक्ति को आज की शिक्षा व्यवस्था मे चरितार्थ होता पाती हूँ कि . बोया पेड़ बबूल का आम कहाँ से होय। इस व्यवस्था की आड़ मे शिक्षक व छात्र दोनो ही मनमानी कर रहे हैं।
The characteristics of bamboo image extraction as an environmentally friendly material

Abstract Bamboo is an environmentally friendly material. Various types of bamboos thrive in Indonesia. To differentiate good types of bamboos, this study uses the K-Means color segmentation method and shape measurement. Due to bamboo has fibers content and fibers adhesive which reflected the quality of bamboo. Then the research uses the morphological parameters of area and perimeter as a feature of size. The analysis is carried out on 45 bamboo images, namely 15 Wulung bamboo images, 15 Petung bamboo images and 15 Ori bamboo images. Based on the test results obtained, there are as many as 0.6 accurate images. The testing uses 15 types of bamboo imagery. The bamboo which has the largest fiber size is Wulung bamboo and then followed by Petung bamboo and the smallest is Ori bamboo.
The Impact of Interactive AR on Learning Ability of Children’s Chinese Characters Self-learning

Augmented reality has become an effective teaching and learning tool to improve children’s engagement and experience during. This study presented 2 kinds of Chinese characters learning method (traditional picture learning and AR-assisted learning), and compared the impact of traditional learning and AR-assisted learning methods on children’s learning ability in the process of learning by applying AR technology to traditional Chinese pictographs learning method. It involves the impact on children’s concentrated ability, cognitive ability and learning initiative. These finds enriches the application and research of AR technology in Chinese language teaching, and provides reference for applied research in other related fields.
3D grasp saliency analysis via deep shape correspondence

Grasp saliency map is an important analysis tool to explore human grasping skills and has many potential applications in visual and robotic fields. Currently, few works concentrate on the 3D grasp saliency detection for novel challenging instances, since the calculation of the grasp saliency map depends on the insufficient human grasping data and geometry of the 3D shapes. To address the above problem, we propose a novel grasp saliency map transferring technique via learning-based shape correspondence to augment saliency data. The robustness and accuracy of the proposed training model can be effectively improved with the augmented saliency data. Different from the crow-sourced data based approach, our method predicts grasp saliency map through classification deep neural network with global shape information. In addition, our approach can deal with the unknown object captured on-the-fly. Extensive experimental results show that our approach can achieve satisfactory grasp saliency maps for objects with complex shapes.
Context-Guided Self-supervised Relation Embeddings

A semantic relation between two given words a and b can be represented using two complementary sources of information: (a) the semantic representations of a and b (expressed as word embeddings) and, (b) the contextual information obtained from the co-occurrence contexts of the two words (expressed in the form of lexico-syntactic patterns). Pattern-based approach suffers from sparsity while methods rely only on word embeddings for the related pairs lack of relational information. Prior works on relation embeddings have pre-dominantly focused on either one type of those two resources exclusively, except for a notable few exceptions. In this paper, we proposed a self-supervised context-guided Relation Embedding method (CGRE) using the two sources of information. We evaluate the learnt method to create relation representations for word-pairs that do not co-occur. Experimental results on SemEval-2012 task2 dataset show that the proposed operator outperforms other methods in representing relations for unobserved word-pairs.
BioMASS, a Spatial Model for Situated Multiagent Systems That Optimizes Neighborhood Search

We present BioMASS, a new model to implement a spatially explicit environment that supports constant-time sensory (neighborhood search) and locomotion functions for situated multiagent systems (MAS). In contrast, the spatial models currently provided by agent-based modeling and computer simulation (ABMS) platforms have computational costs that grow quadratically with perception range and linearly with the number of agents. To conserve computation, existing ABMS models of complex systems are oversimplified, by limiting the environment size, perception ranges, or the number of agents. BioMASS achieves constant time search and locomotion for the majority of function calls by implementing a linked list, nearest-neighbor data structure. This model makes the functions largely independent of the environment size, perception range, and the number of agents. We conduct a theoretical and experimental study of BioMASS compared to other spatial models. Experiments performed using a prey-predator swarm model show that BioMASS significantly outperforms the continuous and hybrid models in terms of execution time, allowing for higher-resolution modeling and simulation of complex systems.