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作者： Junho Jeong Yunsik Son Seman Oh Electronic Commerce Institute Dongguk University Dept.of Computer Science and Engineering Dongguk University

Today, the proportion of software in society as a whole is steadily increasing. In addition to size of software increasing, the number of cases dealing with personal information is also increasing. This shows the importance of weekly software security verification. However, software security is very difficult in cases where libraries do not have source code. To solve this problem, it is necessary to develop a technique for checking existing binary security weaknesses. To this end, techniques for analyzing security weaknesses using intermediate languages are actively being discussed. In this paper, we propose a system that translate binary code to intermediate language to effectively analyze existing security weaknesses within binary code.

关键词： Software weakness Binary analysis Intermediate language Binary code transition

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Personalized flight recommendations via paired choice modeling

Personalized flight recommendations via paired choice modeli...

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IEEE International Conference on Big Data

作者： Jian Cao Fangzhou Yang Yuchang Xu Yudong Tan Quanwu Xiao Dept. of Computer Science& Engineering Shanghai Jiaotong University Shanghai China Department of Air Ticket Business *** International Ltd Shanghai China

Personalized flight recommendation is useful when a traveler wants to find the most suitable flight ticket efficiently. It is hard to learn latent factors behind personal choices directly from users' preferred flight tickets whose features change over time, which leads to the ineffectiveness of traditional recommendation approaches. Therefore, we propose a personalized flight ticket recommendation approach based on paired choice modeling. In this approach, an optimization problem is formulated to maximize a user's choice utility over flight tickets through a paired-choice analysis of users' historical orders. The experiments conducted on a real world dataset show that our approach outperforms other state-of-the-art methods.

关键词： Atmospheric modeling Collaboration Filtering Utility theory Matrix converters Analytical models Computational modeling

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Detection of malicious apps in Android OS by using mobile network

Detection of malicious apps in Android OS by using mobile ne...

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IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

作者： Chetan J. Shelke Pravin Karde V. M. Thakre Dept.of IT P.R. Patil College of Engineering Amravati India Dept of IT Govt. Polytechnic Amravati India Dept.of Computer science SGBAU Amravati University Amravati India

With the highly emerging use of smart phones, now a days we able to perform various tasks, as the cashless services are increasing day by day, sensitive application such as banking related app. But there rising danger due to malware attack, its quite difficult and challenge to detect new malware. In this article we present secured framework against application installation attacks on mobile network platform, in this we applied parallel processing of three approaches i.e. user feedback filter, signature based detection filter and permission based filter. This system use naïve based classifier to find out the probability of malware.

关键词： Malware Smart phones Pattern matching computer science Market research Mobile computing Mobile communication

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A new beam polarimeter at COSY to search for electric dipole moments of charged particles

arXiv

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arXiv 2020年

作者： Müller, F. Javakhishvili, O. Shergelashvili, D. Keshelashvili, Irakli McHedlishvili, D. Abusaif, F. Aggarwal, A. Barion, L. Basile, S. Böker, J. Canale, N. Ciullo, G. Dymov, S. Felden, O. Gagoshidze, M. Gebel, R. Demary, N. Grigoryev, K. Grzonka, D. Hahnraths, T. Hejny, V. Kacharava, A. Kamerdzhiev, V. Karanth, S. Kulikov, A. Lehrach, A. Lenisa, P. Lomidze, N. Lorentz, B. Macharashvili, G. Magiera, A. Metreveli, Z. Nass, A. Nikolaev, N.N. Nioradze, M. Pesce, A. Poncza, V. Prasuhn, D. Pretz, J. Rathmann, F. Saleev, A. Sefzick, T. Senichev, Y. Shmakova, V. Slim, J. Soltner, H. Stephenson, E. Ströher, H. Tabidze, M. Tagliente, G. Uzikov, Y. Valdau, Y. Wagner, T. Wrońska, A. Wüstner, P. Żurek, M. Institut für Kernphysik Forschungszentrum Jülich Jülich52425 Germany III. Physikalisches Institut B RWTH Aachen University Aachen52056 Germany Dept.of Electrical and Computer Engineering Agricultural University of Georgia TbilisiGA0159 Georgia High Energy Physics Institute Tbilisi State University TbilisiGA0186 Georgia Marian Smoluchowski Institute of Physics Jagiellonian University Cracow30348 Poland University of Ferrara and INFN Ferrara44122 Italy Laboratory of Nuclear Problems Joint Institute for Nuclear Research Dubna141980 Russia Forschungszentrum Jülich and RWTH Aachen University Germany GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt64291 Germany L.D. Landau Institute for Theoretical Physics Chernogolovka142432 Russia Moscow Institute for Physics and Technology Dolgoprudny141700 Russia Institute for Nuclear Research The Russian Academy of Science Moscow117312 Russia Zentralinstitut für Engineering Elektronik und Analytik Forschungszentrum Jülich Jülich52425 Germany Indiana University Center for Spacetime Symmetries BloomingtonIN47405 United States Istituto Nazionale di Fisica Nucleare sez. Bari Bari70126 Italy Dubna State University Dubna141980 Russia Department of Physics M.V. Lomonosov Moscow State University Moscow119991 Russia

A calorimetric polarimeter based on inorganic LYSO scintillators is described. It has been designed for use in a storage ring to search for electric dipole moments (EDM) of charged particles such as the proton and deuteron. Its development and first use was on the Cooler Synchrotron (COSY) at the Forschungszentrum Jülich with 0.97 GeV/c polarized deuterons, a particle and energy suitable for an EDM search. The search requires a polarimeter with high efficiency, large analyzing power, and stable operating characteristics. With typical beam momenta of about 1 GeV/c, the scattering of protons or deuterons from a carbon target into forward angles becomes a nearly optimal choice of an analyzing reaction. The polarimeter described here consists of 52 LYSO detector modules, arranged in 4 symmetric blocks (up, down, left, right) for energy determination behind plastic scintillators for particle identification via energy loss. The commissioning results of the current setup demonstrate that the polarimeter is ready to be employed in a first direct search for an EDM on the deuteron, which is planned at COSY in the next two years. Copyright © 2020, The Authors. All rights reserved.

关键词： Polarimeters

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Evaluation of MUSER, a holistic security requirements analysis framework

Evaluation of MUSER, a holistic security requirements analys...

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International Conference on Research Challenges in Information science, RCIS

作者： Elias Seid Kazi Robin Tong Li John Mylopoulos Dept.of Information Engineering and Computer Science University of Trento Italy Beijing University of Technology China School of EECS University of Ottawa Canada

ISBN: (纸本)9781509054770

Security has been a growing concern for large organizations, especially financial and governmental institutions, as security breaches in the systems they depend on have repeatedly resulted in billions of dollars in losses per year, and this cost is on the rise. A primary reason for these breaches is that the systems in question are socio-technical - a mix of people, processes, technology and infrastructure. However, such systems are designed in a piecemeal rather than a holistic fashion, leaving parts of the system vulnerable. To tackle this problem, a three-realm security requirements framework was proposed to holistically analyse security requirements in different conceptual realms, including social realm (business processes, social actors), a software realm (software applications that support the social realm) and an infrastructure realm (physical and technological infrastructure). In this paper we evaluate this security requirements analysis framework. The evaluation was performed by two graduate students using a large scale case study on a medical emergency response system.

关键词： Security Medical services Business Temperature sensors Monitoring Temperature measurement Analytical models

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Improvement in the Performance of Deep Neural Network Model using learning rate

Improvement in the Performance of Deep Neural Network Model ...

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International Conference on Innovations in Power and Advanced Computing Technologies

作者： Kanupriya Arora Ritu Chauhan Dept.of Computer Science and Engineering ITM University Gwalior India

ISBN: (纸本)9781509056835

This The core aim of this paper is to find out the accuracy of SDN network, in this we applied different approaches to increase the efficiency of the netw ork, so that the performance as well as the accuracy will improve. Different classifier are applied to form a model, in which pre processing and transformation are the essential phases before developing a model. After analyzing the classifier like NaiveBayes, Support Vector Machine, J48 and Deep Neural Network we found our Deep Neural Network with learning rate variation prove to be the best classifier among the all. In our work we are using the basic ten features out of the several features of NSL-KDD Dataset that are useful to build the network to predict the attacks in the intrusion detection system

关键词： Deepneuralnetwork Intrusiondetectionsystem Learning rate Classifier Support vector machine

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Rubrics based continuous assessment for effective learning of digital electronics laboratory course 4

Rubrics based continuous assessment for effective learning o...

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4th IEEE International Conference on MOOCs, Innovation and Technology in Education, MITE 2016

作者： Nayak, Aruna S. Umadevi, F.M. Preeti, T. Dept.of Computer Science and Engineering B. V. B. College of Engineering and Technology Vidyanagar HUBLI580 031 India

ISBN: (纸本)9781509010622

Today's world lays more emphasis on embedded product design which necessitates the inclusion of hardware courses like Digital Electronics, computer Organization and Microcontrollers in the curriculum for undergraduate program in computer science. These pre-requisite courses introduced in the lower semesters pave the way for students to develop keen interest, skill and proficiency in the area of Embedded system design. But students of computer science generally lack interest in hardware related courses, a fact which has been observed time and again by teachers handling these courses. Therefore the challenges that lay before the course instructors was to make the students take interest in these courses and also to make them industry ready so as to compete with peers from other engineering branches in the domain of Embedded Systems. This paper discusses the experience of the authors in teaching the course on Digital Electronics laboratory. In order to handle the challenges mentioned above, after much debate and discussion, amongst all stake holders, it was decided to apply structured enquiry based learning strategy. Structured enquiry is a form of pedagogical practice that facilitates students' to build on previous learning and provide a strong foundation for further learning in relation to the objectives defined. This approach was also found to enhance the quality of teaching as a result of which students' ability to conduct investigations of technical issues consistent with their level of knowledge and understanding improved. Here we present a set of activities, their related outcome based assessment techniques and outcome based strategies applied to the laboratory course on Digital Electronics in computer engineering at the III Semester level. The course was designed to consist of initially, conducting simple exercises to provide hands on experience and use of appropriate modern engineering tools to simulate the designed circuit for the given problem statement after

关键词： Students

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Robust Device-free Fall Detection Using Fine-grained Wi-Fi Signatures

Robust Device-free Fall Detection Using Fine-grained Wi-Fi S...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Wenchang Cao Xinhua Liu Fangmin Li School of Information Engineering Wuhan University of Technology Key Laboratory of Fiber Optic Sensing Technology and Information Processing (Wuhan University of Technology) Ministry of Education Dept.of Mathematics and Computer Science Changsha University

Fall is one of the main threats to the health care of elderly living alone. If not timely treated, the elderly will be threatened with death. Traditional fall detection systems based on vision, sensor

ISBN: (纸本)9781467389808

关键词： Fall detection CSI Robust Device-free

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EBDRA: Energy balanced dynamic cluster routing approach for WSN 1

EBDRA: Energy balanced dynamic cluster routing approach for ...

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1st IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016

作者： Praveen, Kumar K.V. Udaya, Rani V. Banga, M.K. Thippeswamy, B.M. Venugopal, K.R. Dept. of Computer Science and Engg Dayanandasagar University Bangalore India Dept. of Computer Science and Engg REVA University Bangalore India Dept.of Computer Science and Engg Sambhram Institute of Technology Bangalore India University Vishveswaraya College of Engineering Bangalore India

ISBN: (纸本)9781509007745

Density of nodes deployed in WSNs is based on application requirements. The redundant data collection in dense network results in more energy consumption. The Data Routing In-Network Aggregation (DRINA) is one of the recent algorithm proposed to reduce energy consumption in dense network environment by minimizing the number of communications from source to sink. Here the Data transmission is carried out by using data aggregation in cluster based environment using shortest path method. But due to inefficient cluster head selection technique, it is unable to mange cluster head failures and evades the energy drain in sensor nodes along the common static path that leads network partition. In order to overcome these problems we proposed an algorithm known as Energy Efficient Routing using Dynamic Cluster approach (EBDRA), that includes efficient cluster head selection technique and dynamic route selection for the reliable data transmission. In our approach the cluster head selection technique involves an efficient method of cluster head selection. Our algorithm reduces the communication overhead, energy consumption and increases the network lifetime when compare to earlier state of art works. © 2016 IEEE.

关键词： Energy efficiency

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Named Entity Recognition using Machine Learning Techniques for Telugu language

Named Entity Recognition using Machine Learning Techniques f...

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2016 IEEE 7th International Conference on Software engineering and Service science

作者： M.Humera Khanam Md.A.Khudhus M.S.Prasad Babu Dept.of Computer Science and Engineering Sri Venkateswara University College of Engineering

In this paper,we depict hybrid approach,i.e.,combination of rule based approach and machine learning techniques,i.e Conditional Random Fields(CRF) for Named Entity Recognition(NER).The main objective of Named Entity Recognition is to categorize all Named Entities(NE) in a document into predefined classes like Person name,Location name,Organization *** paper first outlines the Named Entity Recognizer using rule based *** this approach we prepared Gazette lists for names of persons,locations and organizations,some suffix and prefix features and dictionary consist of 200000 words to recognize the category of names ***,we used Machine learning technique,i.e.,CRF in order to improve the accuracy of the system.

关键词： Natural Language Processing(NLP) Named Entity Recognition(NER) Rule Based Approach Conditional Random Field(CRF) Human computer Interaction(HCI)

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