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Online Cloud-Based Battery Lifetime Estimation Framework for Smartphone Devices

Procedia computer science 2017年 110卷 70-77页

作者： Raja Wasim Ahmad Raja Sehrab Bashir Sharjil Saeed Yangsun Lee Kwangman Ko Yunsik Son COMSATS Institute of Information Technology Pakistan Department of Software Engineering University Malaya Malaysia Department of Computer Science and IT University of AJK Dept. of Computer Engineering Sekyungongguk University South Korea Dept. of Computer Engineering Sanji University South Korea Dept. of Computer Engineering Dongguk University South Korea

Smartphones are resource constrained external battery operated devices. The resources of smartphone devices such as a battery, CPU, and RAM are very low compared to the desktop server. However, the requirements of smartphone users are growing tremendously. As a result, smartphone applications perform rich functionality to enrich user experience. However, due to increase in the execution capacity of smartphone applications, smartphone battery lifetime minimizes. This study proposes a cloud-based framework that estimates battery lifetime of a smartphone device. Moreover, it overviews the theoretical design of computational offloading framework to present an application area for the proposed work. Finally, it presents preliminary results to evaluate the proposed framework.

关键词： Mobile Computing Cloud Computing Computation Offloading Battery Lifetime Estimation Energy Optimization

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Enhancing Supervised Classifications with Metamorphic Relations

Enhancing Supervised Classifications with Metamorphic Relati...

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IEEE/ACM International Workshop on Metamorphic Testing (MET)

作者： Liming Xu Dave Towey Andrew P. French Steve Benford Zhi Quan Zhou Tsong Yueh Chen International Doctoral Innovation Centre University of Nottingham Ningbo China Ningbo Zhejiang China AIOP Group University of Nottingham Ningbo China Ningbo Zhejiang China School of Computer Science University of Nottingham Nottingham UK School of Computing and Information Technology University of Wollongong Wollongong NSW Australia Dept. of Computer Science and Software Engineering Swinburne University of Technology Hawthorn VIC Australia

We report on a novel use of metamorphic relations (MRs) in machine learning: instead of conducting metamorphic testing, we use MRs for the augmentation of the machine learning algorithms themselves. In particular, we report on how MRs can enable enhancements to an image classification problem of images containing hidden visual markers (“Artcodes”). Working on an original classifier, and using the characteristics of two different categories of images, two MRs, based on separation and occlusion, were used to improve the performance of the classifier. Our experimental results show that the MR-augmented classifier achieves better performance than the original classifier, algorithms, and extending the use of MRs beyond the context of software testing.

关键词： Machine learning Testing software Forestry Histograms Visualization computer science

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Viroinformatics-based investigation of SARS-CoV-2 core proteins for potential therapeutic targets

arXiv

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arXiv 2020年

作者： Agrawal, Lokesh Poullikkas, Thanasis Eisenhower, Scott Monsanto, Carlo Bakku, Ranjith Kumar Universidad Integral del Caribe y América Latina Kaminda Cas Grandi #79 Curaçao United States Graduate School of Comprehensive Human Sciences University of Tsukuba 1-1-1 Tennodai Tsukuba305-8577 Japan Molecular Neuroscience Unit Okinawa Institute of Science and Technology Graduate University Kunigami-gun Okinawa904-0412 Japan Human Biology School of Integrative and Global Majors University of Tsukuba 1-1-1 Tennodai Tsukuba305-0006 Japan Department of Experimental Pathology Faculty of Medicine University of Tsukuba 2-1-1 Tennodai Tsukuba305-8576 Japan Department of Infection Biology Faculty of Medicine University of Tsukuba 1-1-1 Tennodai Tsukuba305-8575 Japan Research Workgroup Ronin Institute 127 Haddon Place MontclairNJ07043-2314 United States Faculty of Engineering Information and Systems Dept. of Computer Science University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8572 Japan University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8572 Japan

Due to SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) being a novel virus, there are currently no known effective antiviral drugs capable of slowing its progress. To accelerate the discovery of potential drug candidates, bioinformatics based in silico drug discovery can be applied as a very robust tool. In the present study, more than 60 antiviral drugs already available on the market, were chosen after literature survey. These can be used in clinical trials for the treatment of COVID-19. In this study, these candidate drugs were ranked based on their potential to interact with the Spike protein and RdRp (RNA-dependent RNA polymerase) of SARS-CoV-2. Additionally, the mechanism of their action as well as how the virus infection can utilize Hemoglobin to decrease the oxygen level in blood is explained. Moreover, multiple sequence alignments of the Spike protein with 75 sequences of different viruses from the Orthocoronavirinae subfamily were performed. This gives insight into the evolutionarily conserved domains that can be targeted using drug or antibody treatment. This multidimensional study opens a new layer of understanding about the most effective drug-targetable sites on the Spike protein of SARS-CoV-2. Copyright © 2020, The Authors. All rights reserved.

关键词： Viruses

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Web-Based Application to Collect and Analyze Users Data for Keystroke Biometric Authentication

Web-Based Application to Collect and Analyze Users Data for ...

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IEEE Ukraine Conference on Electrical and computer engineering

作者： Alieksieiev Vasyl Elena Sharapova Olena Ivanova Gorelov Denis Synytsia Yuliia Computer Radio Engineering and Systems of Technical Security of Information dept.(CRESTSI) Kharkiv National University of Radioelectronics (KNURE) Software Engineering Dept. Marvell Semiconductor Inc.

ISBN: (纸本)9781509030071

Keystroke dynamics is rapidly developing and promising field of the research. User authentication systems based on this approach is not require the installation of additional equipment. It makes them flexible and significantly reduces the cost of implementation and subsequent exploitation. This paper describes the web application developed to collect and analyze individual characteristics of user keystroke based on time calculation of digraphs. That approach has several advantages such as simplicity to use, ability to obtain data at any time, to integrate application into an existing web resource, application is cross platform, has modular architecture and provide great scalability.

关键词： Web application Authentication Keystroke dynamics Data collection Digraph Modularity Cross platform

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Wireless low power toxic gas detector based on ADuCM360

Wireless low power toxic gas detector based on ADuCM360

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International SoC Design Conference, ISOCC

作者： Minming Gu ZhenPing Xia Yan Lei Lin Zhang Jieming Ma Dept. of Electronic & Information Engineering Suzhou University of Science and Technology Suzhou China Dept. of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University (XJTLU) Suzhou China

In order to avoid toxic gas poisoning incident, explosion and improve people's quality of life, this project designed the wireless low power toxic gas detector based on ADuCM360 with sensor technology and wireless transmission technology. The system consists of power management module, sensor module, signal conditioning module and wireless communication module. Analysis and experimental results show that this toxic gas detector can monitor and store the toxic gas concentration, temperature and humidity in the room for a long time. You will be able to understand the detection of toxic gases without necessity of visiting the site in person.

关键词： Wireless communication Wireless sensor networks Gas detectors Temperature sensors Monitoring Gases Hardware

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Baggage detection and classification using human body parameter & boosting technique

Baggage detection and classification using human body parame...

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Conference on Human System Interactions, HSI

作者： Tahmina Khanam Kaushik Deb Kang-Hyun Jo Dept. of Computer Science & Engineering Chittagong University of Engineering & Technology Chittagong Bangladesh Dept. of EE and Information Systems University of Ulsan Ulsan Korea

ISBN: (纸本)9781509056132

Automatic Video Surveillance System (AVSS) has become important to computer vision researchers as crime in public places has increased in the twenty first century. As a new branch of AVSS, baggage detection and classification has a broad area of security applications. Some of them are, detecting carriage of illegal materials into baggage, detecting unclaimed baggage in public space that can be placed by terrorists for violence, detecting baggage in baggage restricted super shop etc. However, in this paper, a detection & classification framework of baggage is proposed using dynamic human body parameter with boosting strategy. Initially, background subtraction is performed instead of sliding window approach to speed up the system and HSI model is used to deal with uneven illumination condition. Then, to overcome the shadow effect a model is introduced. Extraction of rotational signal descriptor (RSD_HOG) from Region of Interest (ROI) added efficiency in HOG. Finally, dynamic approach in human body parameter setting enabled the system to detect & classify single or multiple carried baggages although some portions of human are absent. In baggage detection, boosting of similarity measure based cascade multilayer SVMs into HOG based SVM generated a strong classifier. This scheme has used to deal with various texture patterns of baggages. Experimental results discovered the system satisfactorily accurate and faster comparative to other alternatives.

关键词： Feature extraction Boosting Support vector machines Lighting Biological system modeling Nonhomogeneous media information filtering

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Model transformations via XSLT 17

Model transformations via XSLT

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17th Annual International Workshop on Databases, Texts, Specifications, and Objects, DATESO 2017

作者： Pavlát, Jakub Richta, Karel Richta, Tomáš Janoušek, Vladimír Czech Technical University in Prague Faculty of Electrical Engineering Dept. of Computer Science Karlovo nám. 13 Praha 2121 35 Czech Republic Brno Institute of Technology Faculty of Information Technology Dept. of Intelligent Systems Božetěchova 2 Brno612 66 Czech Republic

ISBN: (纸本)9788001061381

Many present systems are conceived as a set of autonomous agents that communicate together in solving problems. Petri nets are commonly used for a specification of parallel systems. An interesting question is whether we can implement arbitrary system by a set of Petri nets agents. These agents could be specified by Petri nets, but such a description is not sufficiently user-friendly. Our idea is to define these agents by classical workflow models and then transform them into a set of Petri nets. Such transformation would support development of software systems, whose specification is based on classical workflow models, but the implementation is based on Petri nets. Each net of the resulting system is translated into a specific target representation called Petri Nets Byte Code (PNBC). These codes are interpreted by the special Petri Nets Virtual Machines (PNVM), which are installed on all nodes of the system, under the Petri Nets Operating System (PNOS). This paper deals with the one step of this process, which is an implementation of required transformations from workflow model into Petri nets with the help of XSLT. © K. Richta, P. Moravec (Eds.): Dateso 2017.

关键词： Petri nets

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Oops!...I think I scanned a malware

arXiv

引用

arXiv 2017年

作者： Nassi, Ben Shamir, Adi Elovici, Yuval Dept. of Software and Information Systems Eng. Ben-Gurion University of the Negev Be’er-Sheva Israel Computer Science department Weizmann Institute of Science Rehovot Israel

This article presents a proof-of-concept illustrating the feasibility of creating a covert channel between a C&C server and a malware installed in an organization by exploiting an organization’s scanner and using it as a means of interaction. We take advantage of the light sensitivity of a flatbed scanner, using a light source to infiltrate data to an organization. We present an implementation of the method for different purposes (even to trigger a ransomware attack) in various experimental setups using: (1) a laser connected to a stand (2) a laser carried by a drone, and (3) a hijacked smart bulb within the targeted organization from a passing car. In our experiments we were able to infiltrate data using different types of light sources (including infrared light), from a distance of up to 900 meters away from the scanner. We discuss potential counter measures to prevent the attack. Copyright © 2017, The Authors. All rights reserved.

关键词： Light sources

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Ergodic Capacity Analysis of Wireless Transmission over Generalized Multipath/Shadowing Channels

Ergodic Capacity Analysis of Wireless Transmission over Gene...

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IEEE Conference on Vehicular Technology (VTC)

作者： Paschalis C. Sofotasios Seong Ki Yoo Sami Muhaidat Simon L. Cotton Michail Matthaiou Mikko Valkama George K. Karagiannidis Dept. of Electr. & Comput. Eng. Khalifa Univ. of Sci. & Technol. Abu Dhabi United Arab Emirates Institute of Electronics Communications and Information Technology Queen's University of Belfast Belfast UK Department of Electrical and Computer Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates Institute for Communication Systems University of Surrey Guildford UK Department of Electronics and Communications Engineering University of Technology Tampere Finland Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

Novel composite fading models were recently proposed based on inverse gamma distributed shadowing conditions. These models were extensively shown to provide remarkable modeling of the simultaneous occurrence of multipath fading and shadowing phenomena in emerging wireless scenarios such as cellular, off-body and vehicle-to-vehicle communications. Furthermore, the algebraic representation of these models is rather tractable, which renders them convenient to handle both analytically and numerically. Based on this, the present contribution analyzes the ergodic capacity over the recently proposed κ-μ/inverse gamma composite fading channels, which were shown to characterize excellently multipath fading and shadowing in line-of-sight communication scenarios, including realistic vehicular communications. Novel analytic expressions are derived which are subsequently used in the analysis of the corresponding system performance. In this context, the offered results are compared with respective results from cases assuming conventional fading conditions, which leads to the development of numerous insights on the effect of the multipath fading and shadowing severity on the achieved capacity levels. It is expected that these results will be useful in the design of timely and demanding wireless technologies such as wearable, cellular and inter-vehicular communications.

关键词： Fading channels Numerical models Analytical models Wireless communication Shadow mapping Mathematical model Finite wordlength effects

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Enhancing security for two-party comparison over encrypted data 3

Enhancing security for two-party comparison over encrypted d...

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2016 3rd International Conference on systems and Informatics, ICSAI 2016

作者： Yang, Ching-Nung Yeh, Zong-Xuan Hsu, Shen-Chieh Fu, Zhangjie Dept. of Computer Science and Information Engineering National Dong Hwa University Hualien Taiwan School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

ISBN: (纸本)9781509055210

The so-called Yao's millionaire problem (YMP) is about securely comparing two numbers held by two parties, respectively. After comparison, the actual values of these two numbers are still unknown to both parties. Recently, Kaghazgaran and Sadeghyan propose a variant of YMP, the twoparty multiple comparison (TPMC) protocol, that determines the greatest one over multiple (more than two) encrypted data between two parties. However, in Kaghazgaran and Sadeghyan's TPMC (KS-TPMC) protocol, one of two parties may guess the original data with a probability. In this paper, we introduce a new TPMC protocol to enhance the security by reducing this guess probability, and meanwhile has the same computation cost compared with KS-TPMC protocol. Additionally, the proposed TPMC protocol is more effective on reducing the attack probability for the large number of encrypted data. Thus, our TPMC protocol is suitable for applications on multiple comparison over encrypted data. © 2016 IEEE.

关键词： Probability

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