Reviewerly/exHarmony huggingface dataset:
DTA-HOC: Online HTTPS traffic service identification using DNS in large-scale networks

An increasing number of websites are making use of HTTPS encryption to enhance security and privacy for their users. However, HTTPS encryption makes it very difficult to identify the service over HTTPS flows, which poses challenges to network security management. In this paper we present DTA-HOC, a novel DNS-based two-level association HTTPS traffic online service identification method for large-scale networks, which correlates HTTPS flows with DNS flows using big data stream processing and association technologies to label the service in an HTTPS flow with a specific associated domain name. DTA-HOC has been specifically designed to address three practical challenges in the service identification process: domain name ambiguity, domain name query invisibility, and data association time window size contradictions. Several experiments on datasets collected from a 10-Gbps campus network are conducted alongside offline and online testing. Results show that DTA-HOC can achieve an average online association rate on HTTPS traffic of 83% and a generic accuracy of 86.16%. Its processing time for one minute of data is less than 20 seconds. These results indicate that DTA-HOC is an efficient method for online identification of services in HTTPS flows for large-scale networks. Moreover, our proposed method can contribute to the identification of other applications which make a Domain Name System (DNS) communication before establishing a connection.
Fully automated registration of 3D CT data to CAD model for surface deviation measurement

The aim of this study is to present a fully automated registration algorithm that allows for alignment and errors analysis of the 3D surface model obtained from industrial computed tomography (CT) images with the computer-aided design (CAD) model. First, two pre-processing steps are executed by the algorithm namely, CAD model subdivision and representing models. Next, two improved registration procedures are applied including covariance descriptors-based coarse registration with a novel and automatic calibration, followed by a fine registration technique that utilizes an improved iterative closest points (ICP) algorithm, which is what we proposed with a novel estimation method for registration error. Finally, using a novel strategy that we proposed for error display, the quantitative data analysis results can simultaneously estimate both positive and negative deviation of the surface registration errors more precisely and fully expressed. Comparing to the original ICP algorithm, the quantitative data of experimental results demonstrate that the average registration errors of carburetors and valves are reduced by 0.80 millimeter at least. Therefore, this study demonstrates that the proposed new algorithm is not only capable of fully automating the registration of 3D surface model to a CAD model but also beneficial for quantitatively determining the surface manufacturing error more precisely.
The memory of tags

In the last twenty years, indexing systems have undergone a profound transformation that has been dubbed social tagging or folksonomy. The aim of this article is not to furnish instructions about the best way to tag library resources. Instead, the aim here is to consider the activity of tagging from a more abstract standpoint; that is, from the viewpoint of social memory. As a first priority, therefore, this article deals with the function performed by tagging: how social access to information is organized. After a brief discussion of social memory, three core issues are taken into consideration: first, the function performed by tagging; second, the feedback cycle which is triggered by the interplay of users and the machine; third, the way that tags do not inform us about the contents of library resources, but about what users think the contents of library resources are. The last question to be tackled by this article is whether any correlation with the evolution of social memory can be discerned in the procedures of tagging and, if so, what the evolutionary advantage of the activity of social tagging consists of.
OpenStack Generalization for Hardware Accelerated Clouds

OpenStack is a widely used management tool for cloud computing which is designed to work on servers and allocate standard computing resources such as CPU, memory or disk. The current trend for integrating different hardware accelerators such as FPGAs and GPUs in the cloud require managing these heterogeneous resources. In this paper, we propose a generalization for OpenStack Nova project which extends the relevant data structures to include these new resources. More importantly, we present a new lightweight Nova Compute module that we call Nova-G Compute that is suitable to work with different hardware platforms and can communicate with the rest of the OpenStack Projects. We implement a hypervisor-like software to enable Nova-G compute accessing the FPGA resources. We perform experimental evaluation of Nova-G using the known and used OpenStack benchmarking tool Rally. Our results show that Nova-G Compute works as desired without any reduced performance compared to standard Nova.
Knowledge Map Completion Method Based on Metric Space and Relational Path

Knowledge Graph describes entities and their attributes and relationships in the objective world in a structured way. Aiming at the problem of knowledge imperfection widely existing in the knowledge map, a knowledge representation learning algorithm - PTranSparse, which is based on metric space and relational path, is proposed to complete the knowledge map. This method combines the ability of TranSparse model to process the heterogeneity and unbalance of entity and relationship and PTransE to make full use of the semantic information of relational path to improve the discrimination of knowledge representation learning. Based on the combination of the two models, the relationship types are considered, and the weights associated with the relationship types are added to differentiate the relationship types when entities are projected. Experiments show that, compared with the original models and the existing combination models and methods, this method can effectively improve the link prediction efficiency of the knowledge graph while solving the complex relation reasoning, and ensure a higher accuracy.
Estimating User Satisfaction Impact in Cities Using Physical Reaction Sensing and Multimodal Dialogue System

Following the increase in use of smart devices, various real-time environmental information becomes available everywhere. Matsuda, Yuki To provide more context-aware information, we also need to know emotion and a satisfaction level in a viewpoint of users. Fedotov, Dmitrii In this paper, we define it as “a user satisfaction impact (USI)” and propose a method to estimate USI by combining dialogue features and physical reaction features. As dialogue features, facial expression and acoustic feature are extracted from multimodal dialogue system on a smartphone. Takahashi, Yuta As physical reactions, head motion, eye motion, and heartbeat are collected by wearable devices. Arakawa, Yutaka We conducted the preliminary experiments in the real-world to confirm the feasibility of this study in the tourism domain. Yasumoto, Keiichi Among various features, we confirmed that eye motion correlates with satisfaction level up to 0.36. Minker, Wolfgang
Connectivity and Personality

This article explores the coverage of the special psychological preconditions for connectivity capabilities and mindsets. Connectivity is a challenge for international, innovative organizations and their employees. International companies are challenged to develop consistent strategies for highly complex and interdependent markets; employees working in such complex structures require the personal abilities and psychological characteristics to successfully implement and achieve company goals. This article aims to illustrate an employee’s necessary psychological abilities and highlights the psychological demands of successfully managing connectivity for individual employees.
VR Course Construction Oriented by Innovation Project Development

Based on the demand for VR talents in today's society, virtual reality technology courses are offered in colleges and universities. This paper explores the construction idea of virtual reality course as one of innovation and entrepreneurship courses, and carries out practical teaching. By introducing the mode of school-enterprise cooperation, we can achieve complementary advantages. In order to achieve the two course objectives of VR technology training and innovation and entrepreneurship awareness training, the course is driven by innovation project development and technology learning, which is set up in four stages: project establishment and technology popularization stage, practical case training stage, independent project development stage, results release and inspection stage, and highlights group system, guidance system and acceptance system as course characteristics. In particular, in the stage of independent project development, the orientation system has been innovated, from students' free proposition to publishing Enterprise-level Project themes and needs, to enhance the integrity and interaction of student projects, and to improve the quality, significance and competitiveness of completed projects.
Distributed Computing Column 75 The Splendors and Miseries of Rounds

This column consists of a position paper by Adam Shimi about the usefulness of the concept of rounds in distributed algorithms. It rst gives a survey of di erent ways of modeling rounds and then provides an extensive list of fascinating open questions, with particular emphasis on using and extending the Heard-Of model of Charron-Bost and Schiper. Many thanks to Adam for his contribution!
Designing metrics to evaluate the help center of Baidu cloud

Help centers are mainly designed to assist users with their product uses. The question as to how we measure the quality of a help center remains unanswered. As the first step of a joint research initiated by Peking University and Baidu Cloud that aims to develop a set of computable metrics to evaluate the quality of help centers, this experience report shares the results of data analysis on correlation between user behavioral data and technical documentation quality. The documents and data we use are a suite of cloud computing services provided by Baidu Cloud. The report begins with an introduction of the research goal; following reviews on the related work, it then lays out the design of the experiments with user data collected from Baidu Cloud. In our experiments, we categorize all documents into three groups and try to identify which metrics would affect documentation quality most. The result shows that the key index that contributes most to the model is PV/UV. At last, the report concludes with our current experimental efforts and future work in our plan.
The effectiveness of Virtual Reality (I-Cube) in the educational process from the point of view of the students at Qatar University College of Education

This study aims to measure the effectiveness of Virtual Reality (I-Cube) in the educational process from the perspective of students at Qatar University (QU).It was conducted during the Spring semester 2017.The study's sample comprises 64 female students enrolled in the "Technology for Children" course, a required course at QU College of Education.The students were divided into two groups: The first group (G1) includes 30 students, who were assigned to visit the QU Interactive Cube (I-Cube) Lab and to interact with whatever available instructional applications.They were also required to read an article on Virtual Reality, its nature, concept, features, and the way it can be applied in the field of education.The second group (G2), which consisted of 34 female students, was also assigned to read the article, but did not to visit the I-Cube Lab.Both groups had to respond to an opinion questionnaire about the effectiveness of Virtual Reality in education.The questionnaire was conducted twice to measure the effect of the treatment on the performance of both groups.The results showed a significant difference between G1 and G2 in favor of G1 (I-Cube visiting and reading).The findings also indicated that there was a significant difference between the pre and post-performance of G1 in favor of the post-performance.However, there was not any significant difference between the pre-and post-performance of G2 (reading only).That is an indication that the Virtual Reality through the I-Cube Lab has a great impact on the learning process based on the point of view of the students at QU College of Education.
Book Shala: An Android-Based Application Design and Implementation of Sharing Books

Education is an unalienable right. It is liberty regardless of where you born, where you grow up. This is the time to ensure that this right is endorsed and education is reaching to everyone, especially, when the communication through technology is developing rapidly; therefore, sharing books is one of the most important forms of dispensing knowledge and education, although it is very annoying and inconvenient task. This paper presents an online platform to share or rent the books. The proposed model intends to solve the book-sharing problem of students or the common public in general. The aim of this paper is to reduce the cost of getting knowledge and information for its users and building a community with an awesome experience. The proposed model is deployed on android-based mobile phones connecting to its users. Some key feature of this model is speech recognition, wallet system, and prediction that give clues to customer’s next buy.
PREVALENCE OF NEUROLOGICAL MANIFESTATIONS OF SYSTEMIC LUPUS ERYTHEMATOSUS IN PATIENTS FOLLOWED UP AT AN UNIVERSITY HOSPITAL IN AMAZONAS

Systemic lupus erythematosus (SLE) is a chronic autoimmune inflammatory disease. Its pathophysiology includes the production of autoantibodies and the hyperreactivity of T and B cells, which generates repercussions on various organs such as skin, mucosa, joints, kidneys, serous membranes and central and peripheral nervous system. The American College of Rheumatology (ACR) defined in 2012 the diagnostic criteria of SLE that are currently used, among them the neurological manifestations that include: convulsion, psychosis, myelitis, multiple mononeuritis, central or peripheral neuropathy and acute mental confusion. In view of this scenario, this study aims to analyze the prevalence of neurological manifestations in patients diagnosed with SLE who attend the rheumatology service of a university hospital in Manaus, in order to obtain the local standard of these findings.
CONTRIBUTIONS TO COMPUTATIONAL BAYESIAN STATISTICS

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Obstacle Avoidance by DSmT for Mobile Robot in Unknown Environment

A method by Dezert-Smarandache theory (DSmT) is proposed for obstacle avoidance of mobile robot in unknown environment. The grid environment map is constructed for robot. On the basis of DSmT, the generalized basic belief assignment (gbba) is defined to evaluate the grid state: empty, has obstacle, and unknown. Then the belief values of the grid state from different time slice are combined by DSmT. Experiments including eleven typical simulation scenes are given. In these experiments, one scene test fails and the rest of ten scenes are successful in which robot can avoid all obstacles. The results show that the method is effective and available for mobile robot's obstacle avoidance in unknown environment.
On Isotopic Shift Construction for Planar Functions

CCZ-equivalence is the most general currently known equivalence relation for functions over finite fields preserving planarity and APN properties. However, for the particular case of quadratic planar functions isotopic equivalence is more general than CCZ-equivalence. A recent construction method for APN functions over fields of even characteristic, so-called isotopic shift construction, was instigated by the notion of isotopic equivalence. In this paper we discuss possible applications of the idea of isotopic shift for the case of planar functions. We show that, surprisingly, some of the known planar functions are actually isotopic shifts of each other. This confirms practically the pertinence of the notion of isotopic shift not only for APN functions but also for planar maps.
QUALITY OF SOFTWARE PROJECTS – A CASE STUDY

In software projects, many points that are overlooked such as time constraints and human factors are causing great problems in the future. By measuring the quality of software projects, problems that may arise in important parameters such as maintenance-repair, functionality and reliability can be eliminated. In this study, metrics that can be used for measuring maintainability quality attribute within the scope of ISO 9126 Quality Standard are examined. In order to perform the study, 40 open source object-oriented software was selected and code complexity analysis was performed. Values of metric sets such as Chidamber and Kemerer (CK), Lorenz and Kidd (LK) and McCabe's complex Suite were determined by the Understand Code Analysis tool. It was determined whether the obtained values exceeded the threshold values indicated in the literature. Frequencies of metrics passing threshold values were determined for 40 open source object-oriented software projects, and the consistency among the metrics was evaluated using WEKA Machine Learning Software and EXCEL Data Analysis Tool. When the results were evaluated, it was observed that in addition to CK metrics such as WMC, CBO, and RFC, which measure the maintainability quality attribute, NOC (CK), NIM (LK), and the ratio of comment/code metrics have been observed to yield significant measurement results.
Pinning down variables, and taking an agile approach

The Communications Web site, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications , we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter.com/blogCACM http://cacm.acm.org/blogs/blog-cacm Robin K. Hill tries to better define variables, while Edwin Torres acknowledges he is his own greatest obstacle.
HARM - The Human Action Recognition Module

We present HARM, a three stage human action recognition algorithm for static images. The proposed methodology incorporates pose estimation, pose classification and scene classification to develop a complete understanding of humans in images with respect to their environments. The module utilizes a blend of modern state-of-the-art pose estimation and image classification algorithms, thereby resulting in accurate classifications of human poses and actions in static images.
Unsupervised camera pose estimation through human mesh recovery

Camera resectioning is essential in computer vision and 3D reconstruction to estimate the position of matching pinhole cameras in 3D worlds. While the internal camera parameters are usually known or can be easily computed offline, in camera networks extrinsic parameters need to be computed each time a camera changes position, thus not allowing for smooth and dynamic network reconfiguration. In this work we propose a fully markerless, unsupervised, and automatic tool for the estimation of the extrinsic parameters of a camera network, based on 3D human mesh recovery from RGB videos. We show how it is possible to retrieve, from monocular images and with just a weak prior knowledge of the intrinsic parameters, the real-world position of the cameras in the network, together with the floor plane. Our solution also works with a single RGB camera and allows the user to dynamically add, re-position, or remove cameras from the network.
Technical and Socio-Technical Attacks on the Danish Party Endorsement System

In this paper we analyze the security of the online Danish party endorsement system (DVE) and present two attacks: one technical, which we discovered during our study of the system in 2016 and which compromises the integrity of the endorsements stored in the DVE-database and another socio-technical, which allows parties to circumvent mechanisms to protect voters against abuse. To understand these attacks, we introduce the legal and technical frameworks of the DVE-system, analyze its problems, and describe a sequence of events that has led to endorsing three new parties that stood in the 2019 Danish Parliament election.
Sample-based Path Planning for Small UAV Obstacle Avoidance

The obstacle avoidance path planning ability of small UAV is the basis for its safe flight. In recent years, the sampling-based obstacle avoidance path planning algorithm has been widely used because of its superior performance. For example, RRT* algorithm can guarantee probability completeness while possessing asymptotic optimality. However, the addition of optimization process reduces the convergence rate of the algorithm. In order to ameliorate this problem, an improved RRT* algorithm based on biased sampling is proposed in this paper. The algorithm improves the convergence speed of the algorithm and accelerates the obstacle avoidance path search by performing the partial concentration sampling in the relative area of the goal point and the path point. The simulation results show that the proposed algorithm can obtain an optimized small UAV obstacle avoidance path in a shorter time.
Dimensi Keagamaan dalam Novel I Am Sarahza Karya Hanum Salsabiela Rais Dan Rangga Almahendra: “Kajian Semiotika Dan Implementasinya Sebagai Bahan Ajar di SMA

The purpose of this research is (1) Describe the structure that built I Am Sarahza novel by Hanum Salsabiela Rais and Rangga Almahendra, (2) Describe the religious dimensions that contained in the I Am Sarahza novel by Hanum Salsabiela Rais and Rangga Almahendra, (3) Describe the implementation of the religious values of I Am Sarahza novel by Hanum Salsabiela Rais and Rangga Almahendra as teaching materials senior high school. This type of research is a qualitative descriptive. Data in this research are sentences, paragraphs, and contain the dimensions of religion in the novel I Am Sarahza by Hanum Salsabiela Rais and Rangga Almahendra. Data collection technique use library techniques, see, and note. Technical data analysis use the reader of the semiotic model. Based on the results of the research can be concluded as follows: (1) The Structural of novel I Am Sarahza can be seen from the theme and facts of the story. The theme in the novel I Am Sarahza raised about religiosity with Hanum, Rangga, Sarahza, Mother, Father, Dr. Eva Herz, Arto, Ummy who illustrates the true story of his life and the process of the pregnant program for getting a baby. The flow story is used by mixed or flashback The place settings occur in Linz, Yogyakarta, Vienna, Europe, orphanage, Multazam Ka'bah, Al-Azhar, Jakarta, Surabaya, Permata Hati.The background time from 2004 to 2016. The Social background is a social community life that is good and obedient to religion. (2) The dimensions religion in the novel I Am Sarahza has five religious dimensions, there are the dimensions of belief (ideology), dimensions of worship or religious practice (ritualistic), dimensions of experience, dimensions of Ihsan (appreciation), and the dimensions of knowledge. (3) The results of this research can be implemented in teaching materials during the first semester of senior high school class XI.