Reviewerly/exHarmony huggingface dataset:
Chatbot as an Alternative Means to Access Online Information Systems

Abstract Chatbots are having a spotlight in the current market. The reasoning behind this would be mobile applications are becoming a saturated market and messenger applications are surpassing social networking applications regarding to the number of active users. Binus Maya is becoming less attractive since it is not engineered for mobile devices, which creates inconvenience for students to access campus information. The research creates a chatbot as an alternative solution to Binus International’s existing information systems. The application created is accessible from both desktop and mobile, created with Node. JS with the natural language processor being used is called API. AI. Taking accounts from the user acceptance testing, 80% of testers agreed that the created chatbot can be a good and faster alternative information retrieval compared to Binus Maya.
Construction of three interval frame scaling sets

In this paper, a construction of three interval frame scaling sets is described and certain classes of normalized tight frame wavelet sets are also constructed with the help of these three interval frame scaling sets. We also generalize this construction to obtain [Formula: see text]-interval frame scaling sets.
STRATEGI MENINGKATKAN MUTU PENDIDIKAN MELALUI MANAJEMEN SARANA DAN PRASARANA PADA SMK NEGERI 1 SINGKAWANG

ABSTRACT The school is a social institution whose existence is part of the nation's social system which aims to produce capable, democratic, responsible, faithful, faithful, physically and spiritually healthy individuals, possessing knowledge and skills, having a steady and independent personality. In order to achieve these objectives a strong curriculum is needed, both infrastructure and superstructure. The research aims to reveal strategies to improve the quality of education through the management of facilities and infrastructure in Singkawang 1 Vocational High School (SMK) with a focus on: 1). Facilities and infrastructure planning in Singkawang State Vocational School 1, 2). Utilization of facilities and infrastructure in State Vocational School 1 Singkawang, 3). Monitoring of Facilities and Infrastructure at SMK Negeri 1 Singkawang, 4). Reporting on facilities and infrastructure at SMK Negeri 1 Singkawang, 5). Obstacles encountered in facilities and infrastructure at SMK Negeri 1 Singkawang. The research method used is descriptive research with a qualitative approach. Data validity is done by data triangulation, technical triagulation and member checking. Then the interactive data analysis with data reduction, data presentation, conclusion or verification. The results showed that: 1). facility and infrastructure program planning has been made by the student department to develop facilities in school activities. 2). The use of facilities and infrastructure is implemented in accordance with the learning needs of each teacher and regulated and monitored in an orderly manner, 3). Supervision of facilities and infrastructure has been done directly by the school principal, 4). Reporting has been carried out regularly by the vice-principal on student affairs to the principal, 5). Constraints faced in facilities and infrastructure are financing both for procurement and maintenance. Based on the results of the study suggested the following things: 1) The principal is expected to optimize supervision of all activities that have been planned so that the specified goals can be achieved. 2) Need to involve the community in the procurement of financing and maintenance of facilities and infrastructure. 3) Teachers, administration is expected to be involved in the management of facilities and infrastructure. Keywords: Strategy, Education Quality, Management of Facilities and Infrastructure.
Towards Metrics for Analyzing System Architectures Modeled with EAST-ADL

Quality of system and software architectures plays a major role in today's development to reduce the complexity of systems during design and ensure maintainability and extensibility.Metrics can provide system architects with information about the quality of the system architectures and support them to ensure the quality characteristics defined in ISO 25010.In this position paper, we look on selected metrics from code and object-oriented design analysis to use them for the evaluation of system architectures modeled with EAST-ADL.Therefore, the metrics (collections) Lines of Code, Cyclomatic Complexity, Chidamber and Kemerer and MOOD are examined for their application on EAST-ADL models.
An Improved TLD Target Tracking Algorithm Combined with Kernel Correlation Filtering

Abstract Target continuous tracking problem is an important research topic in the field of computer vision. To conquer difficulties of target loss under complex situation, size changes and illumination changes, an improved tracking module is designed via combining tracking module in TLD with KCF (Kernelized Correlation Filters). The comparison between TLD and the proposed algorithm shows that the performance of the latter is improved in tracking accuracy. Under complex situation of target occlusion, scale change, illumination change, etc., algorithm presented can output the tracking results stably, which is more robust and more suitable for long-term target tracking.
A Systematic Review of Islamic Terrorist Webpages and Keywords

As the internet is considerably expanding and on-line information is increasing, the identification and detection of the large amounts of different web information become vitally important, particularly those of dark web or Islamic extremists. Webpages with extremist and terrorist content are believed to be the main factors in the radicalisation and recruitment of disaffected individuals who might be involved in terrorist activities at home or those who fight alongside terrorist groups abroad. In fact, the sheer volume of online data makes it practically impossible for authorities to carry out the individual examination for every webpage, post or conversational thread that might or might not be relevant to terrorism or contain terrorist sympathies. As terrorists exist within every nation and every religion, hence this paper presents a review and systematic analysis of existing webpages on Islamic terrorists. This include existing database of Islamic extremist words and existing techniques of web classifier for keywords. Based on this systematic review analysis, it will be the input to the formation of a new Islamic extremists WorldNet.
Fitness Game Based on Internet of Things

This study proposes fitness games based on the internet of things (IOT), and combines functionality while maintaining the entertainment value of the game. The game allows users to enjoy themselves on fitness devices with IOT and machine to machine (M2M) connections. Interconnected game content, which affects the user"s motor rhythm was also developed through the design of the gate. This study provides information for the development of fitness games using IOT technology, and in combination with other devices, the interaction provides a deep understanding of the new trend of interactive games.
Minimizing Key Materials: The Even–Mansour Cipher Revisited and Its Application to Lightweight Authenticated Encryption

The Even–Mansour cipher has been widely used in block ciphers and lightweight symmetric-key ciphers because of its simple structure and strict provable security. Its research has been a hot topic in cryptography. This paper focuses on the problem to minimize the key material of the Even–Mansour cipher while its security bound remains essentially the same. We introduce four structures of the Even–Mansour cipher with a short key and derive their security by Patarin’s H-coefficients technique. These four structures are proven secure up to <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mrow><mml:mover accent="true"><mml:mi>O</mml:mi><mml:mo>˜</mml:mo></mml:mover></mml:mrow><mml:mfenced open="(" close=")" separators="|"><mml:mrow><mml:msup><mml:mrow><mml:mn>2</mml:mn></mml:mrow><mml:mrow><mml:mi>k</mml:mi></mml:mrow></mml:msup><mml:mo>/</mml:mo><mml:mi>μ</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math> adversarial queries, where k is the bit length of the key material and μ is the maximal multiplicity. Then, we apply them to lightweight authenticated encryption modes and prove their security up to about <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:mtext>min</mml:mtext><mml:mfenced open="{" close="}" separators="|"><mml:mrow><mml:mi>b</mml:mi><mml:mo>/</mml:mo><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mi>c</mml:mi><mml:mo>,</mml:mo><mml:mi>k</mml:mi><mml:mo>−</mml:mo><mml:mtext>log </mml:mtext><mml:mi>μ</mml:mi></mml:mrow></mml:mfenced></mml:mrow></mml:math>-bit adversarial queries, where b is the size of the permutation and c is the capacity of the permutation. Finally, we leave it as an open problem to settle the security of the t -round iterated Even–Mansour cipher with short keys.
As ambivalências da divulgação científica na era digital

This article assumes that ambivalence has become the hallmark of digital networks.This results from the kind of use that has gradually developed in digital networks until reaching its paroxysm today.In view of this, the topic of scientific dissemination in cyberculture will be examined from the point of view of the harms that networks are causing to their users in terms of their knowledge about scientific issues.On the other side of the seesaw, however, the dissemination of information on networks also shows great benefits not only for scientists but also for the dissemination of scientific issues.
Architectural Visualization in the Age of 5G

This research is a case study of a bigger scientific project (as part of a 4-year loan from the Ministry of Economic Development led by Vodafone) that involves a large number of academic and industrial partners working on the pre-industrial tests on the 5G connectivity ongoing in Milan urban area. The use case we analyze here is the only one related to the built environment design process with a focus on the innovation in architectural representation and communication made possible by the 5G as enabling technology. Starting from the construction site of new Politecnico di Milano architecture campus, designed by Ottavio di Blasi – ODB from an idea by Renzo Piano, the research deals with new possibilities for translating the project’s BIM data in a dynamic visualization tool through a mobile AR device at a building scale. The AR designing and engineering process has allowed to test strengths and weaknesses associated with the adaptation of complex digital architectural models to the required geometrical simplification for gaming rendering engines, evaluating different possible and most fitting graphic pipelines.
Объектно-oриентированные проекты с созданием классов для математических объектов

The article discusses the current problems of software development technology based on an object-oriented programming approach
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings

This paper studies the interplay between kinematics (position and velocity) and appearance cues for establishing correspondences in multi-target pedestrian tracking. We investigate tracking-by-detection approaches based on a deep learning detector, joint integrated probabilistic data association (JIPDA), and appearance-based tracking of deep correspondence embeddings. We first addressed the fixed-camera setup by fine-tuning a convolutional detector for accurate pedestrian detection and combining it with kinematic-only JIPDA. The resulting submission ranked first on the 3DMOT2015 benchmark. However, in sequences with a moving camera and unknown ego-motion, we achieved the best results by replacing kinematic cues with global nearest neighbor tracking of deep correspondence embeddings. We trained the embeddings by fine-tuning features from the second block of ResNet-18 using angular loss extended by a margin term. We note that integrating deep correspondence embeddings directly in JIPDA did not bring significant improvement. It appears that geometry of deep correspondence embeddings for soft data association needs further investigation in order to obtain the best from both worlds.
A Disparity Refinement in Stereo Matching based on Mean-shift Segmentation and Spatiotemporal Domain

A stereo matching algorithm is used to find the best match between a pair of images. To compute the cost of the matching points from the sequence of images, the disparity maps from video streams are estimated. However, the estimated disparity sequences may cause undesirable flickering errors. These errors result in low visibility of the synthesized video and reduce video coding. In order to solve this problem, in this article, the authors propose a spatiotemporal disparity refinement on local stereo matching based on the segmentation strategy. Based on segmentation information, matching point searching, and color similarity, adaptive disparity values to recover the disparity errors in disparity sequences can be obtained. The flickering errors are also effectively removed, and the boundaries of objects are well preserved. The procedures of the proposed approach consist of a segmentation process, matching point searching, and refinement in the temporal and spatial domains. Experimental results verify that the proposed approach can yield a high quantitative evaluation and a high-quality disparity map compared with other methods.
Ergodic theorems for imprecise probability kinematics

In a standard Bayesian setting, there is often ambiguity in prior choice, as one may have not sufficient information to uniquely identify a suitable prior probability measure encapsulating initial beliefs. To overcome this, we specify a set $\mathcal{P}$ of plausible prior probability measures; as more and more data are collected, $\mathcal{P}$ is updated using Jeffrey's rule of conditioning, an alternative to Bayesian updating which proves to be more philosophically compelling in many situations. We build the sequence $(\mathcal{P}^*_k)$ of successive updates of $\mathcal{P}$ and we provide an ergodic theory to analyze its limit, for both countable and uncountable sample spaces. A result of this ergodic theory is a strong law of large numbers in the uncountable setting. We also give an interval that almost surely contains lower probabilities associated with the elements of $(\mathcal{P}^*_k)$.
Detailed airborne geophysical survey of complexly dislocated strata in the Sutam terrane (Aldan shield) during studies of iron-ore deposits

Magnetic exploration is the most informational and economical method of prospecting and exploration of iron-ore deposits. In rough-terrain and remote areas without any infrastructure, problems associated with ground-based methods can be avoided by using modern unmanned technologies that allow conducting geophysical surveys in a more efficient way. An unmanned aeromagnetic survey complex (aerial vehicle, UAV) Geoscan 401 was used to assess the possibility of using UAVs for aeromagnetic surveying of iron-ore deposits. Our experimental study was conducted in the well-studied area of the largest iron-ore deposit of South Yakutia. The UAV capacities were confirmed by comparing the aeromagnetic survey data with the available data obtained by ground magnetic exploration of the study area. By analysing magnetic fields, we established that the anomalies detected by the ground and aeromagnetic surveys were fully identical. Furthermore, a weak anomaly was discovered in the northeastern part of the study area (it was not reflected in the magnetic field from the ground survey data). Recalculation of the vertical gradient of the magnetic field shows that the anomaly is caused by a blind ore body. Its upper edge is located at a depth of 200–250 m from the day surface. In calculations for a data array without gradient intervals, a mean square error (MSE) amounts to 1.01 nT. An absolute error in the heights of the working and control flights did not exceed 1.5 m. Both the preliminary and control measurements were performed very efficiently. Profiles for UAV surveys were spaced by 100 m. A 1.0 km2 site was covered by one flight within approximately 20 minutes. The Geoskan-401 UAV is useful for obtaining orthophotos, topographic maps and 3D models of the surveyed territory as required for further studies consistent with the magnetic surveys. The aeromagnetic surveys were followed by trenching to verify the newly discovered anomalies. Based on the results of this experimental study, the forecast resources of the Sutam deposit should be increased by almost 250–350 million tons, i.e. plus 15 % to the previously explored and approved reserves of the Sutam field.
Tracking the Progression of Reading Through Eye-gaze Measurements

In this paper we consider the problem of tracking the progression of reading through eye-gaze measurements. Such an algorithm is novel and will ultimately help to develop a method of analyzing eye-gaze data which had been collected during reading activity in order to uncover crucial information regarding the individual's interest level and quality of experience while reading a passage of text or book. Additionally, such an approach will serve as a “visual signature” - a method of verifying if an individual has indeed given adequate attention to critical text-based information. Further, an accurate “reading-progression-tracker” has potential applications in educational institutions, e-readers and parenting solutions. Tracking the progression of reading remains a challenging problem due to the fact that eye-gaze movements are highly noisy and the eye-gaze is easily distracted in a limited space, like an e-book. In a prior work, we proposed an approach to analyzing eye-gaze fixation points collected while reading a page of text in order to classify each measurement to a line of text; this approach did not consider tracking the progression of reading along the line of text. In this paper, we extend the capabilities of the previous algorithm in order to accurately track the progression of reading along each line. the proposed approach employs least squares batch estimation in order to estimate three states of the horizontal saccade: position, velocity and acceleration. First, the proposed approach is objectively evaluated on a simulated eye-gaze dataset. Then, the proposed algorithm is demonstrated on real data collected by a Gazepoint eye-tracker while the subject is reading several pages from an electronic book.
Towards a Generic Framework for a Health Behaviour Change Support Agent

Agent-oriented solutions form a useful paradigm to design intelligent systems.For health-related behaviour change, this is also a promising approach.Designing an agent for lifestyle change interventions is a difficult task because socio-ecological models are involved that represent many conflicting desires and goals.Different types of cognitive architectures are available to design this type of health behavior agents but they are rarely used.In this paper, we used the BDI model to design a health behavior agent that will execute behavior change intervention for a better healthy lifestyle.We explain the working of the architecture by the example of an agent which uses adaptive goals-setting and a percentile scheduling technique for increasing physical activity.
The Problems of Google News in Europe

In 2019, the European Union introduced a new copyright directive that provides news publishers a new right to be paid for the use of their works in the digital environment. The directive is squarely aimed at Google. Indeed, it is the latest step in a long history of European lawmakers seeking to regulate Google in order to support European news organizations. When navigating its way through the problems of Google News in Europe, Google has sought to appeal to the power of innovation, reframing disruption as opportunity, and doing everything it can to resist burdensome regulation. Indeed, the history of Google News in Europe shows Google leveraging its wealth, market power, and technological capabilities to compel and entice news publishers to work within Google’s system and according to Google’s copyright framework.
Poster: Creative, Mental, and Innovation Competences Formation in Engineering Education: Systemic Pattern of Labor Productivity Increase in Industry

The actual rule of intellectual property creation, labor productivity increase in contemporary innovative economy is shown. Author’s conception of innovation educational cluster MIMIM (3*MI) should be reliable base for innovation, mental, creative competences formation and development by engineering education. In MIMIM (3*MI) suggest new definition, sense, and content of basic categories “creativity”, “creative thinking”, “strong”, effective solution, “modality of thinking”, and three modalities of thinking – binitarian, triune (poly-unity), quaterian.
Social media for the community college library

This article summarizes the experience of a multi-campus urban community college library developing and managing a social media presence. The author describes the organization of social media effor...
A new approach in one time pad key management

Let (P,C,K,e_k,D_k) be the One Time Pad cryptosystem. We consider P=C=K.In this paper, we improve the key management with introduction of the concept of mathematical key footprint to ensure the uniqueness of every generated key without storing it. We also combine the default operating system’s randomness Application Programming Interface (API) CSPRNG , with some further local system entropy parameters mainly the micro level of noise and environment brightness to enhance key generation randomness using any personal device. we introduce the use of negative keys to enlarge the key space K and give related algorithms.
Video Colorization Using CNNs and Keyframes Extraction: An Application in Saving Bandwidth

A raw colored video takes up around three times more memory size than it’s grayscale version. We can exploit this fact and send the grayscale version of a colored video along with a colorization model instead of the colored video to save bandwidth usage while transmission. In this paper, we tackle the problem of colorization of grayscale videos to reduce bandwidth usage. For this task, we use some colored keyframes as reference images from the colored version of the grayscale video. We propose a model that extracts keyframes from a colored video and trains a Convolutional Network from scratch on these colored frames. Through the extracted keyframes we get a good knowledge of the colors that have been used in the video which helps us in colorizing the grayscale version of the video efficiently.
Transforming RDF Data into Property Graphs

RDF databases and graph databases are two approaches of data management which are based on modeling, storing and querying data following a graph structure. RDF databases are based on a single graph data model which allows to describe Web resources in terms of their relations and attributes. On the other hand, most graph databases are based on the property graph data model, a type of graph where nodes and edges can contain properties represented as key-value pairs. This paper presents two methods for transforming RDF data into property graphs. The first method defines schema and data transformations as it assumes the existence of an RDF schema. The second method is schema-independent, so it allows to transform any kind of RDF dataset. Both methods are useful to store RDF data into a Graph Data Management System.