Reviewerly/exHarmony huggingface dataset:
Timeline Visualization of Keywords

Visualizations of communications between actors are typically presented as actor interactions or as plots of the dates and times when the communications occurred. These visualizations are valuable to forensic analysts; however, they do not provide an understanding of the general flow of the discussed topics, which are identified by keywords or keyphrases. The ability to view the content of a corpus as a timeline of discussion topics can provide clues to when certain topics became more prevalent in the discussion, when topics disappeared from the discussion and which topics are outliers in the corpus. This, in turn, may help discover related topics and times that can be used as clues in further analyses. The goal is to provide a forensic analyst with assistance in systematically reviewing data, eliminating the need to manually examine large amounts of communications. This chapter focuses on the timeline-based visualization of keywords in a text corpus. The proposed technique employs automated keyword extraction and clustering to produce a visual summary of topics recorded from the content of an email corpus. Topics are regarded as keywords and are placed on a timeline for visual inspection. Links are placed between topics as the timeline progresses. Placing topics on a timeline makes it easier to discover patterns of communication about specific topics instead of merely focusing on general discussion patterns. The technique complements existing visualization techniques by enabling a forensic analyst to concentrate on the most interesting portions of a corpus.
Decentralized Commerce – A Primer on Why Decentralized Reputation Verification Systems Are Needed

Decentralized reputation verification systems enable mathematically rigid smart contracts to become more adjustable for the needs of business. Code is law principles can be upheld for smart contracts when reputation verification enables smart contract template verification. Validated templates of smart contracts increase trust for counterparties. The validation removes the need for costly back-testing and facilitates decentralized business transactions at unprecedented scale.
Approximately Good and Modern Matchings (Invited Talk)

The matching problem is one of our favorite benchmark problems. Work on it has contributed to the development of many core concepts of computer science, including the equation of efficiency with polynomial time computation in the groundbreaking work by Edmonds in 1965. However, half a century later, we still do not have full understanding of the complexity of the matching problem in several models of computation such as parallel, online, and streaming algorithms. In this talk we survey some of the major challenges and report some recent progress.
Pregled tehnologija u neuronskim mrežama

Neural networks are being researched more and more today. The reason for research lies in the hardware that nowadays offers the ability to process large amounts of data in real time. For the successful operation and construction of the neural network, one of great importance is the activation function. Activation function selection affects the speed and quality of training the neural network itself. The basic principles of the neural network after the selection of activation functions are explained in the paper. The basic principles of learning neural networks are outlined, focusing on selecting the optimization algorithm used to learn the neural network.
Greater One-horned Rhinoceros Rhinoceros unicornis (Mammalia: Perissodactyla: Rhinocerotidae) population census in the Rajiv Gandhi Orang National Park, Assam, India

The complete-count of rhino or rhino census is an integral part of conservation and management of wild rhino-bearing areas of Assam. The direct count of rhinos in their wild habitat continues as the accepted method of determining rhino population. As a part of the periodic process, the Rajiv Gandhi Orang National Park (RGONP) organized a one-day direct rhino count on 2 April 2018. The results showed 1% increment of the population after a gap of six years. Such slow increment is considered to be a matter of concern. More research is necessary for better understanding of the population dynamics and identification of factors for better management of rhino population at RGONP.
Unifying Search-Based and Compilation-Based Approaches to Multi-Agent Path Finding through Satisfiability Modulo Theories

We describe an attempt to unify search-based and compilation-based approaches to multi-agent path finding (MAPF) through satisfiability modulo theories (SMT). The task in MAPF is to navigate agents in an undirected graph to given goal vertices so that they do not collide. We rephrase Conflict-Based Search (CBS), one of the state-of-the-art algorithms for optimal MAPF solving, in the terms of SMT. This idea combines SAT-based solving known from MDD-SAT, a SAT-based optimal MAPF solver, at the low level with conflict elimination of CBS at the high level. Where the standard CBS branches the search after a conflict occurs, we refine the propositional model with a disjunctive constraint instead. Our novel algorithm called SMT-CBS hence does not branch at the high-level but incrementally extends the propositional model that is consulted with the SAT solver at each iteration. We experimentally compare SMT-CBS with CBS and MDD-SAT.
Faktor Penentu Penyesuaian Diri pada Mahasiswa Baru Emerging Adulthood Tahun Pertama dan Tahun Kedua

Problems that faced by the new college students both in the first year and second year in adjusting to college are friendship issues, lack of confidence, communication with others, anxious during exams and presentations, and more. The existence of various problems faced makes the individual experiencing barriers to adjust to the new environment. Therefore, this research is conducted to find out the determinants of adjustment for new students, especially for new students in the first year and second year in the development stage of emerging adulthood. The sample of this study amounted to 197 students who are new students in the first year and second year at the University of Surabaya by using sampling technique proportional stratified incidentally. The data collection method was using questionnaire of self-adjustment determinants and a self-adjustment questionnaire from Baker and Siryk (1986). The results showed of the 36 factors that formulated based on elicitation theory and interview with respondents finally forms 5 new factors. The new factors that determine the adjustment of new students are academic anxiety, competence and motivation, physical and psychological barriers, friendship, and openness and confidence. Dominant factors that can predict the ability of individuals to adjust themselves are physical and psychological barriers. This factor can affect the individual in solving the problems they face and become a barrier of themselves to adjust to the new environment.
Rancang Bangun Alat Pendeteksi Kebugaran Paru-Paru Pada Personil TNI (Spirometer) Berbasis Arduino Uno

The lungs is one of the important organs in the respiratory process in humans, especially TNI. If the lungs in the human body is impaired then it can cause dangerous diseases such as tuberculosis, bronchitis, and efisema. In its report, WHO (World Helth Organization) said that respiratory illness is the fourth most killer in the world. Research shows that lung health can be detected by measuring the volume of air capacity in the lungs. To measure the capacity of the air volume we can use a tool called Spirometer. Currently, health checks using Spirometer can only be done at the hospital. This is because the developed Spirometer is a Spirometer that is large and expensive so it is not possible to test using Spirometer every day. Because of this the author wants to research and develop a Spirometer that is easy to use anywhere, anytime, and by anyone. By utilizing simple physics laws such as bernoulli and continuity, the predicted volume capacity of Lung on Spirometer is close to the existing Spirometer. Keywords: Air volume capacity, Health, Lung, Spirometer .
Depth-First Memory-Limited AND/OR Search and Unsolvability in Cyclic Search Spaces

Computing cycle-free solutions in cyclic AND/OR search spaces is an important AI problem. Previous work on optimal depth-first search strongly assumes the use of consistent heuristics, the need to keep all examined states in a transposition table, and the existence of solutions. We give a new theoretical analysis under relaxed assumptions where previous results no longer hold. We then present a generic approachto proving unsolvability, and apply it to RBFAOO and BLDFS, two state-of-the-art algorithms. We demonstrate the performance in domain-independent nondeterministic planning
On the Implementation of Evolving Dynamic Cognitive Maps.

Fuzzy Cognitive Maps (FCM) and other Dynamic Cognitive Maps (DCM) allow simulation of the evolution of complex qualitative dynamic systems through time. However, the DCM model is static by itself in the sense that its cognitive configuration, i.e., the concepts’ definitions, the relations among the concepts and the structure of the map, do not change with time. This paper introduces DCM meta-states, a simple but versatile Finite State Machine based mechanism that can be used to implement Evolving FCM and generic Evolving Dynamic Cognitive Maps (Ev-DCM).
Some Simple Epistemic Reflections on Information, Knowledge and Entropy

In this chapter, a reflection is made on the differences and similarities of the properties of information, knowledge and entropy following the discussions on a path to a fuzzy construct of information measure and entropy. The essential epistemic core in knowing, it was argued, is that there are two types of ontological information and epistemological information. The reflection reveals that the difference is that the ontological information is perfect with no uncertainty and this information is the same thing as the ontological knowledge on the basis of which natural transformation decision-choice actions take place to generate natural information stock-flow dynamics in a continual disequilibrium process. The ontological knowledge contains exactly the ontological information which constitutes the identity in a natural universal setting. Generally, information of any variety is defined by the characteristic disposition and measured by the size of the characteristic disposition for variety identification and transmitted through the signal disposition for knowing.
CEO Cognitive Flexibility, Information Search, and Organizational Ambidexterity

Despite recent advances, we still know relatively little about the cognitive characteristics that differentiate leaders who are successful in implementing organizational ambidexterity from those who are less successful. This issue is relevant because the tasks associated with pursuing organizational ambidexterity are cognitively challenging and may require different cognitive characteristics and information processing activities than the implementation of other parts of a firm’s strategic agenda. We suggest and find that cognitively flexible CEOs are more likely to engage in effortful and persistent information search activities and rely to a greater extent on outside sources of information. In turn, effortful and persistent information search activities are associated with higher levels of organizational ambidexterity. Our study pushes forward the research agenda on cognitive micro-foundations of firm capabilities.
구글 행아웃을 이용하여 원격 화상회의로 진행한 응급의학과 전공의 교육 경험

Objective: It is difficult for emergency residents to attend all the lectures that are required because of the limited labor time. The Google Hangouts program for has been used as a remote videoconference to overcome the limit to provide equal opportunities and reduce the time and costs since 2015. This article reports the authors’ experiences of running a residency education program using Google Hangouts.Methods: From 2015, topics on the emergency radiology were lectured to emergency residents in three different hospitals connected by Google Hangouts. From 2017, electrocardiography analysis, emergency radiology, ventilator application, and journal review were selected for the remote videoconference. The residents'' self-assessment score, and a posteducation satisfaction questionnaire were surveyed.Results: Twenty-nine emergency residents responded to the questionnaire after using the Google Hangouts. The number of participants before and after Hangout increased significantly in other two hospitals. All the residents answered that the score on achieving the learning goal increased before and after the videoconference lectures. All the residents answered that the training program is more satisfactory after using the Google Hangouts than before.Conclusion: All emergency residents were satisfied and were more confident after the remote videoconference education using the Google Hangouts than before.
Bitcoin’in Türkiye Piyasasındaki Değerinin Yapay Zeka Teknikleri ile Tahmini

AbstractCrypto money is the currency that is created by the development of internet technology and the use of e-commerce, securedby cryptographic systems, is not connected to a certain authority, and is used all over the world. The crypto parcels, whichhave recently become quite popular, have begun to direct the financial sector. In this study, estimation of Bitcoin marketvalue that has seen as the most popular crypto-currency, in Turkey using artificial intelligence techniques has been carriedout. Successful results have shown that artificial intelligence can be used in the financial sector and can help in assessinguser investments.Editor: H. Kemal Ilter, Ankara Yildirim Beyazit University, TurkeyReceived: August 19, 2018, Accepted: October 18, 2018, Published: November 10, 2018Copyright: © 2018 IMISC Atlan et al. This is an open-access article distributed under the terms of the Creative CommonsAttribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authorand source are credited.
PERANCANGAN APLIKASI WEB PROMOSI KAIN BATIK BASUREK SECARA ON-LINE PADA GALLERY BATIK RATU SAMBAN BENGKULU MENGGUNAKAN BAHASA PEMROGRAMAN PHP

Ratu Samban Batik Gallery Bengkulu is fairly well known and have been able to give its contribution in the promotion Basurek Batik, which is one of the cultural heritage especially Bengkulu area, but very unfortunate because there is no system of promotion and good sales so it is not capable of making Batik Basurek able known to the wider community.The results of this study is expected to assist in promoting Batik Basurek which will also be an effect on sales Basurek Batik and also Batik Basurek able to introduce to the public, thereby increasing the potential of Bengkulu.
PENGARUH GAME ONLINE TERHADAP MOTIVASI BELAJAR REMAJA

The background of this paper begins with the rise of the issue of technological progress that is growing rapidly in all fields including education. Technology has become one of the needs in every level of society including teenagers today. This has emerged to pro and contra. On the onther side, technological development are very helpful and make many things easier for humans to do their daily activities such as online shopping, business affairs, transportation and others. On the other hand, there are various problems that arise due to the influence of technology in various fields, for example in the field of education. Nowaday, the education is faced with a complex problem. There are students’ low motivation of study and low morale. The purpose of this paper is to discuss about 1) Technological developments in daily life, especially Online Games. 2) Effect of technological development (Online Game) on teenagers / students. 3) How to overcome and prevent Online Game addiction among teenagers / students. Through the directed education, adolescents are prepared to become smart and useful communities for the country and nation. Given the importance of education, there have been many efforts made by educators to improve the quality of education in Indonesia. It is because education is a very important investment for every nation to development a better country.
Video-Based Face Recognition Modules &amp; Approaches: A Survey

In recent years, multi-camera networks have become increasingly common for biometric and surveillance systems.Multi view face recognition has become an active research area in recent years.In this paper, an approach for video-based face recognition in camera networks is proposed.Traditional approaches estimate the pose of the face explicitly.A robust feature for multi-view recognition that is insensitive to pose variations is proposed in this project.The proposed feature is developed using the spherical harmonic representation of the face, texture mapped onto a sphere.The texture map for the whole face constructed by back-projecting the image intensity values from each of the views onto the surface of the spherical model.A particle filter is used to track the 3D location of the head using multiview information.Videos provide an automatic and efficient way for feature extraction.Data redundancy renders the recognition algorithm more robust.The similarity between feature sets from different videos can be measured using the reproducing Kernel Hilbert space.
Nilai Pendidikan Dalam Novel Sepasang Kaos Kaki Hitam Karya Ariadi Ginting : Tinjauan Sosiologi Sastra Dan Relevansinya Sebagai Bahan Ajar Sastra Di SMA

The purpose of this study is (1) Describe the constructive structure in the novel Sepasang Kaos Kaki Hitam by Ari Ginting . (2) Describe the educational values contained in the novel Sepasang Kaos Kaki Hitam by Ari Ginting. (3) Describe the novel relevance of Sepasang Kaos Kaki Hitam by Ari Ginting in learning literature in high school. The data in this study are in the form of words, paragraphs and sentences in novels that show the value of education. The data collection technique of this study is using referral techniques, note-taking techniques and interviews. The validity of the data used in this study is theoretical triagulation, and data triagulation. The results of this study describe (1) the building structure of the novel namely the theme, facts of the story and the means of storytelling, (2) The value of education contained in the novel Sepasang Kaos Kaki Hitam by Ari Ginting includes: religious values, honest moral values shown by Ari's figure when assessing Mevally's appearance, tolerance value is the most found value most of the existence of tolerance attitude Mevally to Ari who have different beliefs, caring value is shown by the concern of the character about the situation of other figures or concern about the health of other figures and (3) novel Sepasang Kaos Kaki Hitam by Ari Ginting relevance as teaching materials in high school students are very suitable because they contain three important aspects of literary teaching materials, namely aspects of language, psychological aspects, aspects of the cultural background of students
Creative Language Forms on Signboards in Singapore and Malaysia

The development of technology has created multilingual environments where digital communication and electronic devices have become an essential component in most people’s daily life. The omnipresence of hypertext and digitised interfaces have created new affordances for the combination of communicative and linguistic resources and the production of creative writing forms. This study presents a multimodal examination of ‘creative writing forms’ on signboards collected in Singapore and Malaysia. These creative forms are categorised into (1) objects stylised to represent letters, and (2) creative word play. The results reveal that creative language forms feature simplified and visually concise communicative conventions (often prevalent in electronic communication; e.g., chat, SMS, etc.), which are becoming more visible in the physical landscape of our everyday life. Through the results presented in this study, one can gain a deeper understanding of the contemporary linguistic landscape, the creative language forms witnessed—particularly in Asian countries—and the fast changes engendered by economic globalisation that are impacting literacy and language practices in modern urban environments.
ILM 2019 - Behind the Magic

Industrial Light & Magic (ILM) highlights its best feature film visual effects and animation work from the past year.
Improved Safe Real-Time Heuristic Search

A fundamental concern in real-time planning is the presence of dead ends in the state space, from which no goal is reachable. Recently, the SafeRTS algorithm was proposed for searching in such spaces. SafeRTS exploits a user-provided predicate to identify safe states, from which a goal is likely reachable, and attempts to maintain a backup plan for reaching such a state at all times. In this paper, we study the SafeRTS approach, identify certain properties of its behavior, and design an improved framework for safe real-time search. We prove that the new approach performs at least as well as SafeRTS and present experimental results showing that its promise is fulfilled in practice.
Analyzing and Predicting the Allocation and Utilization of Resources in Cloud Computing System

The increasing use of cloud computing, constructed on good research in utility computing, networking, virtualization and web services provides some important benefits such as flexibility, cost reduction and easy availability for people using the system. These advantages are expected to increase the demand for more cloud services which further increase the installation of more clouds and its customer base. These demands lead to many technical issues such as applications of internet services, service oriented architecture including high scalability and availability, fault tolerance. So the core issue is to develop techniques for balancing of load effectively. It is clear from the fact that the measure and complexity makes these systems infeasible for assignment of centralized jobs to specific servers. So there is need of productive distributed solutions. In the current paper three proposed load balancing solutions for distributed environment is investigated. They are biased Random Sampling, Honeybee Foraging and Active Clustering.
GAMBARAN LITERASI MEDIA MAYA DALAM AKTIVITAS KESEHARIAN SISWA SEKOLAH MENENGAH KEJURUAN (SMK) DI KABUPATEN BANYUASIN (STUDI KASUS DI SMKN 1 SUAK TAPEH dan SMKN UNGGUL BANYUASIN)

This research is to find out the daily activities of Vocational High School students in Banyuasin District in conducting virtual media literacy activities (Case Study in SMK 1 of Suak Tapeh and Superior Banyuasin Vocational High School). The purpose of this study is to make a daily picture of students 'activities in conducting cyber literacy, all related actors / parties to describe students' daily activities. The research method used is Soft System Dynamic Methodology (SSDM), which is a combination of System Methodology (SSM) and Dynamic System (SD). Respondents were determined by purposive sampling method. Data were analyzed using a destructive approach. The results of the study revealed that student activities in everyday life use very little internet media which includes useful cyber literacy activities. The internet is only used to look for fun and friendship on social media. Gathering with friends adds to activities that are far from the expected cyber literacy activities.