Reviewerly/exHarmony huggingface dataset:
Server-aided Revocable IBE with Identity Reuse

Abstract Efficient key revocation in Identity-based Encryption (IBE) has been a both fundamental and critical problem when deploying an IBE system in practice. Boneh and Franklin proposed the first revocable IBE (RIBE) scheme where the size of key updates is linear in the number of users. Then, Boldyreva, Goyal and Kumar proposed the first scalable RIBE by using the tree-based approach where the size of key updates is $O(r\log (N/r))$ and the size of every user’s long-term secret key is $O(\log N)$ with $N$ being the number of users and $r$ the number of revoked users. Recently, Qin et al. presented the notion of server-aided RIBE where the size of every user’s long-term secret key is $O(1),$ and users do not need to communicate with Key Generator Center (KGC) during every key updates. However, users must change their identities once their secret keys are revoked as they cannot decrypt ciphertexts by using their revoked secret keys. To address the above problem, we formalize the notion of RIBE with identity reuse. In our system model, users can obtain a new secret key called the reuse secret key from KGC when their secret keys are revoked. The decryption key can be derived from the reuse secret key and new key updates while it cannot be derived from the revoked secret key and the new key updates. We present a concrete construction that is secure against adaptive-ID chosen plaintext attacks and decryption key exposure attacks under the $\mathsf{ADDH}1$ and $\mathsf{DDH}2$ assumptions in the standard model. Furthermore, we extend it to server-aided RIBE scheme with identity reuse property that is more suitable for lightweight devices.
Beijing Qihoo Technology Co., Ltd. v. Tencent Technology (Shenzhen) Co., Ltd. and Shenzhen Tencent Computer System Co., Ltd. (Dispute over the Abuse of Market Dominant Position)—Analysis Methods and Ideas for the Definition of the Relevant Markets and the Abuse of Market Dominant Position in the Internet Environment

In the cases of abuse of market dominant position, the definition of the relevant market is a tool for assessing the market power of the operator and the impact of the alleged monopolistic behavior on the competition. And the definition of the relevant market is not the purpose. If the direct evidence can be given to exclude or obstruct the competition and the market position of the operator and the market impact of the alleged monopolistic behavior can be assessed, then there is no need to clearly define the relevant market in every case of abuse of market dominant position.
Intelligent Management System of Sunshine Sports Activities for College Students

This article designs an intelligent management system for college students' sports activities based on integration of RFID, 433MHZ wireless communication technology and Web Services. The system is appropriate for monitoring and managing on colleges sports activities, whose hardwares are mainly formed by collection terminal, data base station, data forwarding server and Ali Cloud WEB website composition. The communication adopts self-designed high reliability communication protocol to provide functions including data compression, packet loss retransmission and fault alarm. Finally, through system installing, function tests of module functions, system pressure test and data packet loss retransmission test, the feasibility and effectiveness of our scheme is proved .
Application of Rasch rating scale model in calibrating youth adversities in Malaysia

Abstract The traditional statistical summation of Likert scale is based on the a priori assumption that all of the items are of equal difficulty and that the thresholds between steps are of equal distance or equal value. The Rasch Rating Scale Model (RSM) emphasize that not only each item have a difficulty estimate, but the rating scale has a series of thresholds to show the progression of the scale used compared to dichotomous data. In order to check the quality of the adapted items based on Malaysian Youth Challenges and also how functions the RSM in calibrating the adversities among youth. The research aimed to investigate the reliability and separation index of adapted items developed and calibrating the main adversities among youth. A set of items in online survey questionnaires with a four-point Likert scale were administered to 500 youth that categorized into early, mid and end youth from five different zones using convenience sampling technique. The data of the questionnaire were analysed using RSM. The items with -0.09 logit from the data set (second quartile or 50 percent), and above are considering as hard to endorse by youth. The findings revealed that all items have good reliability and separation index. The most dominant challenge for all age categories of youth is the economy and the least dominant is technology. The results exposed the potential of logit on the RSM is useful to help organize the adversities. The logit served to convert the ordinal to the interval type of data. The research was contributed to the applications of modern psychometric theory. This information is valuable to redesign the content of the self-development for youth self-development programs, especially to face adversities in their life.
A hybrid cryptosystem approach for information security by using RC4 algorithm and LUC algorithm

Abstract Security is an essential aspect in the sending information. One of the data security methods is by using Cryptography. The methods used in this study, i.e., hybrid cryptosystem. The hybrid cryptosystem is one way of combining two different algorithms which are using a symmetric algorithm such as RC4 and asymmetric algorithm such as LUC. The RC4 algorithm will be used to encrypt or to decrypt files and LUC algorithm will be used to encrypt or to decrypt the key algorithm RC4. Tools that will apply to build the system are by using the Java programming language and Android Studio. Testing of the system utilizing encryption and decryption of files. The result of the system testing is the system will convert plain text into cipher text which in turn into the decimal using ASCII character code. In the algorithm LUC, the processing time required will be longer if the value of primes was a large number. Encryption and decryption time needed on both algorithms are proportional linearly with the length of the message. Based on the results of the research the average time needed to process the encryption with the RC4 algorithm and LUC are 287.06 ms and ms 74.86 whereas the average time for the process of decryption by using the RC4 algorithm and LUC was 53.43 ms and 94.26 ms.
Research on Details Enhancement Method of UAV Inspection Image for Overhead Transmission Line

In order to solve the problem of poor processing effect of man-machine inspection image details, this paper proposes a method for enhancing the details of aerial transmission line unmanned aerial vehicle inspection image. By collecting and calculating the characteristic parameters of UAV patrol image, the local gray level and the optimal gain function value of the image are obtained. According to the above values, the image is denoised to achieve reasonable enhancement of image details. Finally, the experiment proves that the processing effect of the aerial transmission line unmanned aerial vehicle inspection image detail enhancement method is obviously improved compared with the traditional method.
Method for monocular camera to estimate principal point and calibrate zoom lens

We present an improved calibration method to optimize and simplify the current principal point estimation model and the zoom lens calibration process. A Euclidean distance weighting model (EDWM) for the principal point is constructed, which can more accurately estimate the principal point, that is, the distortion center. In addition, the camera has been calibrated by Zhang’s method in several zoom settings to get the intrinsic parameters, which can be used to simplify the distortion model in zoom processing. As a result, the discrepancy between the principal point determined by the EDWM and Zhang’s approach is 2.7484 pixels on average, and the reprojection root-mean-square error in the image distortion correction experiment is 0.1157 pixels. The results demonstrate that the proposed method is precise and effective in identifying the principal point while simplifying the process of zoom lens calibration. Therefore, the approach is suitable for close-range vision measurement tasks that require large-scale zoom camera calibration.
Squeezed state, characteristic frequency and quantum noise of a mesoscopic two-loop <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi>L</mml:mi></mml:math>–<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.svg"><mml:mi>C</mml:mi></mml:math> circuit with capacity coupling

For the first time we employ the method of integration within ordered product of operators to search for quantum squeezing operator and squeezed state for daigonalizing the mesoscopic two-loop L–C circuit with capacity C3 coupling. We also deduce the energy level (characteristic frequecncy) ω±2=C2L2C1+C3+C1L1C3+C22C1C2C3L1L2±12C1+C3C1C3L1−C2+C3C2C3L22+4C32L1L2 and derive the exact quantum noise expression. The way we adopt here is benificial to mesoscopic circuit design for quantum computer.
PENGARUH IDENTITAS VISUAL DAN REPUTASI AKADEMIK TERHADAP KEPUASAN MAHASISWA FAKULTAS EKONOMI DAN BISNIS UNSOED

This researc h has the aims to analyze the effect of visual identity and academic reputation on student satisfaction of Faculty of Economics and Business ( FEB ) Universitas Jenderal Soedirman . This research is descriptive research wit h survey method by using questionnaire to collect the data. Research results show that visual identity and academic reputation has positive effects on student satisfaction.  Based on research result, FEB should increase the way to maintaining their visual identity and increasing their academic reputation Keywords:  visual identity, academic reputation, student satisfaction
Seismic Signal Classification Using Perceptron with Different Learning Rules

In a seismogram, there exist many kinds of wavelets. It can be classified into two classes. One class is normal, the other is abnormal. The abnormal may be the bright spot pattern caused from the gas sand zone. It has the properties of high amplitude and low frequency content in the wavelets. Perceptron is adopted to classify YXB9-02542-B100these two classes. Four different learning rules are used in the training of perceptron. Those are the fixed-increment, normalized perceptron, fractional correction, and absolute correction rules. The experiments are in the simulated and real seismograms. For the comparison of four learning rules in the experiment of simulated seismogram, the absolute correction rule can get the fastest convergence. Then, it is applied to the real seismic data. The bright spot pattern can be detected. The result can improve the seismic interpretation.
An improved CI EKF data fusion algorithm for multi-sensor time-delay system

Abstract In order to solve the problem of time-delay in non-linear multi-sensor information fusion, a simulation model of moving target tracking in sensor networks with the time-delay state and observation system is established. Using the augmented matrix to transform the time-delay system into the non-time-delay system, an improved Covariance Intersection (CI) Extended Kalman filter (EKF) data fusion algorithm for multi-sensor systems with time-delay is presented. This method avoids calculating any two local filter error cross-covariance matrices and greatly reduces the computational complexity and time. Analysing the precision of this method, comparing the precision of improved CI EKF data fusion algorithm and the locally optimal fusion EKF algorithm. The results show that the precision of improved CI EKF data fusion algorithm is higher than that of the local EKF and close to the precision of the optimal EKF fusion.
An Application of an EM Algorithm for Skew Detection of Signatures in Text Images

For security purposes of important documents and transactions in real world applications, we generally use biometric techniques for the authentication and validation of a person. If one has to achieve accurate results in the identification and verification process using a signature in text images as a biometric trait, we need to remove the skew of the signature in text images. In the preprocessing stage many phases are being carried out, among these phases, the signature in the text image, skew detection is the most significant phase, because these deskewed results will be used as one of the features in the feature extraction phase to identify and verify the signature. In this article we are proposing a novel method for skew detection of the signatures in text images using an estimation and maximization (EM) algorithm which is efficient and fast. The EM algorithm sequentially works in two stages, the combination of estimation (E-step) and the maximization (M-step) which helps in detection of the skew in skewed signatures in text image accurately.
Improve 3D shape reconstruction with dual-camera measurement fusion

In this work, we consider the problem of 3D shape reconstruction with a system with two cameras and one projector, which can be regarded as a composite system with two fringe projection profilometry (FPP) systems and one stereo vision (SV) system. Different from the active SV systems in the literature where FPP is used to assist SV to address the issue of corresponding matching, a new system is proposed in this paper by constructing a fusion cost function with the consideration of both FPP and SV triangulations, so that the measurements of the two cameras can be fused to achieve better measurement performance than that of the active SV and FPP. In addition, a message passing algorithm for 3D shape reconstruction with the system is developed by using the new cost function and exploiting the unknown correlation of object surfaces. Simulation results demonstrate that the proposed system can achieve considerable performance gain.
First Workshop on Hypermedia Multi-Agent Systems

Hypermedia is increasingly used in Web service design, particularly in Linked Data and Web of Things systems where the use of static service contracts is not practical. This evolution raises new challenges: to discover, consume, and integrate hypermedia services at runtime, clients have to become increasingly autonomous in pursuit of their design goals. Such autonomous systems have been studied to a large extent in research on multi-agent systems (MAS). To consolidate the evolution of hypermedia services, it is now necessary to have comprehensive discussions on integrating hypermedia systems and MAS, henceforth hypermedia MAS.The goal of this initiative is to establish a common forum for both the Web and MAS communities, and to create social, conceptual and technological bridges across these fields.We invite researchers and practitioners to imagine, design, build, evaluate, and share their thoughts and visions on what the future of the Web for both people and autonomous agents will be.
Convergence of Markovian stochastic approximation for Markov random fields with hidden variables

This paper studies the convergence of the stochastic algorithm of the modified Robbins–Monro form for a Markov random field (MRF), in which some of the nodes are clamped to be observed variables while the others are hidden ones. Based on the theory of stochastic approximation, we propose proper assumptions to guarantee the Hölder regularity of both the update function and the solution of the Poisson equation. Under these assumptions, it is proved that the control parameter sequence is almost surely bounded and accordingly the algorithm converges to the stable point of the log-likelihood function with probability [Formula: see text].
An Adaptive Cooperative Dual Particle Swarm Optimization Algorithm with Chaotic Mutation and Quantum Behavior

An adaptive cooperative dual particle swarm optimization algorithm with chaotic mutation and quantum behavior is proposed to solve the contradiction between global search and local refinement search for basic particle swarm optimization algorithms.The strategy of adaptive cooperative evolution for two subgroups is used to parallel search, the subgroup with the chaotic mutation operator modifies the historical optimal position of particles and the subgroup optimal position using the principle of chaotic randomly ergodicity, and the chaotic mutation radius is increasing with the iterative evolution to enhance the global search ability.Additionally, in order to improve the local refinement search ability, the subgroup with quantum behavior, which casts off the searching orbital, updates the average optimal position of the subgroup and the subgroup optimal position during evolution.Finally, the numerical simulation results demonstrate that the proposed algorithm not only has fast convergence speed and high convergence accuracy, but also has significant advantages in dimension expansion.
Secure ATM Device Design by Control Command Verification

Recently, criminals frequently utilize logical attacks to Automated Teller Machines (ATMs) and financial institutes’ networks to steal cash. An ATM security measure called “Control Command Verification” has been proposed to cope with the issues. The measure utilizes peripheral devices to prevent logical attacks “unauthorized cash withdrawals” for smart card transactions. When this measure is applied to magnetic stripe card transactions, there are a variety of implementable systems because of less implementation constraints resulted from the existing security standards for magnetic stripe card transactions. Properly implementable systems should be selected from these systems in terms of three viewpoints: preventing a wide range of logical attacks in a transaction, harmonizing with existing ATM operations, and minimizing the number of peripheral devices to be modified. This paper proposes a systematic implementation design method of the measure to satisfy those three viewpoints. Three proper systems out of the 135 implementable systems can be selected by applying the design method to magnetic stripe card transactions.
Objectives and Challenges in Finnish Software Companies 2018 - Interview of 99 Finnish Software Development Firms

The business domain of software development growth increasingly during 2018 and while software companies in Finland are taking benefit of this momentum, they are facing multiple internal and external challenges. We constructed annual software business survey for 99 enterprise to micro-size software companies in Finland. Based on our survey, software development firms aim at growing rather than improving efficiency or changing focus. The focus remains on strengthening the current business instead of aligning it with the market transition, although the lack of competence and resources is remarkable. This poster paper gives a prompt overview of the Finnish software business domain and how software companies are encountering it.
Genesis of the Lengshuikeng Pb-Zn Deposit, China: Constraint from In-situ LA-ICP-MS Analyses of Minor and Trace Elements in Sphalerite

SummaryIt is generally believed that at medium and low temperature, Pb and Zn are still difficult to precipitate and form porphyry mineralization due to the high solubilities. However, the Lengshuikeng deposit in Jiangxi Province is considered to be a porphyry lead-zinc deposit according to the close temporal and spatial relationship between Pb-Zn mineralization and the granite porphyries. To check the metal source of the Lengshuikeng deposit, we investigated the sphalerite using in situ analysis techniques (LA-ICP-MS, EMPA), to constrain the metal source and the mineralization temperature. The analysis results suggest that the Lengshuikeng deposit is a kind of hydrothermal deposits which formed in middle-low temperature environment and the ore-forming material dominantly comes from the porphyry magma system.
User experience on games development trends

Abstract Game industries are emerging and growing rapidly. Developing good game is becoming more complicated today. It required to achieve user satisfaction and good interaction. Designer has to learn more about social aspects alongside technical aspects. These activities embodied as user experience (UX). In fact, UX and game cannot be distinguised each other. However, it is difficult to be understood. Initial survey had conducted in order to test the statement. Students of Informatics Engineering, UII choosen to take survey. Result revealed, even though students understand about UX and game development separately, they confused when asked about UX-based game development. Based on those problems, we conducted literature review on UX-based game development. 36 papers are reviewed and generated three main discussions. First, usability issues in UX-based game development. Second, virtual reality (VR) is becoming the most popular topic. Third, how to measure children as personas in game development. Briefly conclusion, UX and game development are coherent each other in order to achieve user sastisfaction and good interaction. Result of this study can be used as reference for students about the issues of UX-based game development. Even though, this study is not comprehensively produce method yet. It needs further study to strengthen the result and produce method.
SOCIO-CULTURAL CONDITIONS OF EDUCATIONAL ENVIRONMENT DEVELOPMENT

Purpose: The article conducts the study socio-cultural conditions of educational environment development.&#x0D; Methodology: The criteria for assessing the quality of synchronization actions of heads of educational institutions are determined as well as the criteria for assessing the quality of inter-agency cooperation and self-organization of actors of educational systems and the cooperation among themselves.&#x0D; Result: We found out that the current process of educational environment development is in crisis at the level of goal-setting; selection of approaches and principles, forms, methods, and means; selection of criteria for the effectiveness of actors’ activities.&#x0D; Applications: This research can be used for universities, teachers, and students.&#x0D; Novelty/Originality: In this research, the model of socio-cultural conditions of educational environment development is presented in a comprehensive and complete manner.
The Importance of Planning for Communication in a Project During the Requirements Process

Communication should not happen by chance during projects. The requirements process in projects is highlighted as a communication-intense process, although it includes only technical activities. This article describes the communication activities required during the requirements process, utilizing the communication activities of a problem-solving process. It highlights the communication activities that should be planned during the requirements process for project management to consider. Guidelines are provided for planning the communication activities to aim for quality communication.