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2017 International Conference on Open Source Systems & Technologies (ICOSST)最新文献

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Hardware design and implementation of ECC based crypto processor for low-area-applications on FPGA 基于ECC的低面积加密处理器的FPGA硬件设计与实现
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279005
Malik Imran, Imran Shafi, A. Jafri, M. Rashid
Cryptographic algorithms are widely used for security purposes. These algorithms have been implemented in software as well in hardware. The hardware implementations gain significant importance due to their higher security provision. In this context, a novel hardware architecture to implement scalar multiplication on the standardized NIST curve over GF(2m) by using polynomial basis is presented. For scalar multiplication, Lopez and Dahab algorithm have been implemented. The novel architecture is modeled in Verilog and synthesized using Xilinx (ISE 14.2) for different FPGA devices. The performance of proposed architecture is explored by realizing throughput/area at the same time. The achieved throughput/area on Virtex 4, Virtex 5, Virtex 6 and Virtex 7 devices are 2.71, 8.51, 11.82 and 10.80.
加密算法被广泛用于安全目的。这些算法已经在软件和硬件上实现。硬件实现由于提供更高的安全性而变得非常重要。在此背景下,提出了一种利用多项式基在GF(2m)上的标准化NIST曲线上实现标量乘法的硬件架构。对于标量乘法,实现了Lopez和Dahab算法。该新架构在Verilog中建模,并使用Xilinx (ISE 14.2)对不同的FPGA器件进行合成。同时通过实现吞吐量/面积来探索所提出架构的性能。Virtex 4、Virtex 5、Virtex 6和Virtex 7的吞吐量/面积分别为2.71、8.51、11.82和10.80。
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引用次数: 11
Creating adaptive software architecture dynamically for recurring new requirements 动态地为重复出现的新需求创建自适应的软件架构
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279007
Nazakat Ali, Jang-Eui Hong
Software products need to evolve continuously in order to meet the arising needs of the market. Therefore, the new requirements or the rapid context changes are common in software products. Several types of studies have addressed the adaptive architecture issue in Software Product Line Engineering. Several tools and techniques have been proposed but for the evolution of Software Product Line, there is no process that would consider step by step activities from requirements analysis to the creation of dynamic adaptive software architecture. We propose an adaptive architecture designing process that systematically defines those activities for developing adaptive architecture. Our process continuously elicits new requirements from social network services that trigger our architecture adaptation. We introduce a variability monitoring agent to investigate the change in variability model, and the agent decides whether the architecture must be reconfigured or not depending on the change. Our process may support fast accommodation of market needs, and then can improve sustainability of software systems.
软件产品需要不断发展,以满足市场不断增长的需求。因此,新的需求或快速的环境变化在软件产品中是常见的。有几种类型的研究已经解决了软件产品线工程中的自适应架构问题。已经提出了一些工具和技术,但是对于软件产品线的发展,没有一个过程可以考虑从需求分析到创建动态自适应软件体系结构的一步一步的活动。我们提出了一个自适应架构设计过程,该过程系统地定义了开发自适应架构的活动。我们的流程不断地从社会网络服务中引出新的需求,从而触发我们的架构调整。我们引入了可变性监视代理来调查可变性模型中的变化,代理根据变化来决定是否必须重新配置体系结构。我们的过程可能支持快速适应市场需求,然后可以提高软件系统的可持续性。
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引用次数: 6
Design and fabrication of underground fault distance locator using arduino and GSM 基于arduino和GSM的地下故障测距仪的设计与制作
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279001
Ghulam Rubab Mirza, A. K. Maheshwari, M. A. Mahar, A. S. Larik, G. H. Talpur
This paper introduces an underground fault location model of cable using Arduino and GSM (Global system for mobile communication) module, used for remote indication to diminish power outages and heavy loss of profit by sending SMS to main control room so the field engineer can resolve the issue of an exact fault location. In underground system, occurrence of fault is rare and is difficult to locate the exact position of fault to overcome this problem, we came up with the idea presented in paper. The main aim is to diagnose the open circuit and three phase short circuit faults distance from base-station in kilometers. This prototype is congregated with a set of resistors showing length of cable in kilometers and a set of switches are used to create fault at every known kilometer to determine the exactness and results regarding fault readings, is displayed on a LCD connected with the Arduino UNO board. Further NI Multisim software is used to simulate the fault. This project is beneficial in reducing the cost, production losses by saving the time and efforts for sectionalization of faults and improving the power availability to consumers through an enhancement of overall efficiency of power nets.
本文介绍了一种利用Arduino和GSM (Global system for mobile communication,全球移动通信系统)模块的电缆地下故障定位模型,通过向主控制室发送短信进行远程指示,减少停电和重大利润损失,使现场工程师能够解决准确的故障定位问题。在地下系统中,故障的发生很少,故障的准确位置很难定位,为了克服这一问题,我们提出了本文的思想。主要目的是对距离基站以公里为单位的开路和三相短路故障进行诊断。该原型由一组以公里为单位显示电缆长度的电阻和一组用于在每已知公里处产生故障的开关组成,以确定故障读数的准确性和结果,并显示在连接Arduino UNO板的LCD上。进一步利用NI Multisim软件对故障进行模拟。该项目有利于通过节省故障分区的时间和精力来降低成本和生产损失,并通过提高电网的整体效率来改善消费者的电力可用性。
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引用次数: 3
Low-power voltage multiplier synthesis tool for preliminary topology identification 用于初步拓扑识别的低功率电压乘法器合成工具
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279000
Francesco Dell'Anna, T. Dong, Ping Li, Wen Yumei, M. Azadmehr, Y. Berg
This paper introduces a synthesis tool designed for low-power voltage multipliers. Voltage multipliers are rectifiers employed to generate a constant output voltage, which exceeds the peak-to-peak amplitude voltage of the input signal. At low power levels the attained performance of conventional voltage multipliers is strictly related to the transistor threshold voltage in the multiplication chain, which, at low voltage levels (tens of mV), are operated primarily in the subthreshold region or in cutoff mode. To improve the power conversion efficiency of voltage multipliers at low power levels, this paper introduces a novel passive threshold compensation technique to enhance the transistor conductivity, providing a static bias voltage at the gate of the transistors. Furthermore, a CAD oriented synthesis tool for the presented threshold compensation technique is proposed. The synthesis tool gives a preliminary indication on the rectifier topology (number of stages and compensation order) given target environmental conditions, target output performance, and adopted components in the rectification chain. The core algorithm is based trial and error simulator for the simplified rectifier model, which is employed to speed up the computations pertaining the voltage multiplier synthesis.
本文介绍了一种用于低功率电压乘法器的合成工具。电压乘法器是用来产生恒定输出电压的整流器,该输出电压超过输入信号的峰对峰幅度电压。在低功率水平下,传统电压乘法器的性能与倍增链中的晶体管阈值电压密切相关,而在低电压水平(几十mV)下,乘法器主要工作在亚阈值区域或截止模式。为了提高电压倍增器在低功率下的功率转换效率,本文介绍了一种新的无源阈值补偿技术,通过在晶体管栅极处提供静态偏置电压来提高晶体管的电导率。此外,提出了一种面向CAD的阈值补偿技术合成工具。综合工具给出了给定目标环境条件、目标输出性能和整流链中采用的组件的整流拓扑(级数和补偿顺序)的初步指示。该算法的核心是基于简化整流模型的试错模拟器,从而加快了电压乘法器综合的计算速度。
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引用次数: 0
Vehicle to grid system for load and frequency management in smart grid 智能电网中车辆对电网的负荷和频率管理系统
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279008
Ubaid ur Rehman, M. Riaz
Growing worldwide interest towards alternative energy resources has proved that electric cars are the best alternative of conventional cars. A vast increase of electric cars production has been seen since 2010. Besides proving benefits to the viable growth and road efficiency, electric cars can be used to power utility systems and may provide benefits to car owners. Plugged in electric vehicle either behaves as a load or as an energy resource and this system is known as vehicle-to-grid (V2G). This paper evaluates the services that can be supplied to the consumers by main grid after V2G implantation. It has been analyzed that V2G concept used for frequency regulation in micro grid. This micro grid analysis consists of actual power generation, base load, peak load, EV aggregator and a mixture of renewable energy. For different levels of renewable energy generation in the grid, different scenarios are analyzed, by altering residential loads and EVs numbers. The results proved that V2G system can provide better frequency regulation in islanded grid scenarios.
世界范围内对替代能源日益增长的兴趣已经证明,电动汽车是传统汽车的最佳替代品。自2010年以来,电动汽车的产量大幅增加。除了证明对可行的增长和道路效率的好处,电动汽车可以用来为公用事业系统供电,并可能为车主提供好处。插电的电动汽车既可以作为负载,也可以作为能源,这种系统被称为车辆到电网(V2G)。本文对V2G接入后主电网向用户提供的服务进行了评价。分析了V2G概念在微电网频率调节中的应用。该微电网分析包括实际发电量、基本负荷、峰值负荷、电动汽车聚合器和可再生能源的混合。针对电网中不同的可再生能源发电水平,通过改变住宅负荷和电动汽车数量,分析了不同的情景。结果表明,V2G系统在孤岛电网场景下具有较好的频率调节能力。
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引用次数: 14
Adaptive game-based e-leaming using semantic web technologies 使用语义web技术的自适应游戏电子学习
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8278999
Asad Ali, M. Şah
Technology has played a vital role in education and significant amount of research have been performed in e-learning field to allow users to learn beyond the traditional class rooms. In this work, we have developed a novel adaptive quiz/ game-based e-learning tool using Semantic Web technologies which re-uses knowledge from DBpedia. Although there are works on game/quiz-based e-learning using Semantic Web, none of the previous works have applied personalization, which is the key novelty of our approach. In particular, we developed a novel user ontology to represent information about users and apply semantic rules to adapt the game to different users based on their knowledge. In the quiz, users can test their knowledge in Physics, Chemistry, and Geography domains that are extracted from DBpedia. In order to test the effectiveness of the proposed adaptive quiz-based e-learning system, we carried out user evaluations and compare our system with a baseline system (non-adaptive Semantic Web based version). Evaluations show that users improved their performances better with the adaptive game-based e-learning system and completed the quiz faster comparing to the baseline e-learning system without adaptation.
技术在教育中发挥了至关重要的作用,在电子学习领域进行了大量的研究,使用户能够超越传统的课堂学习。在这项工作中,我们使用语义Web技术开发了一种新的自适应测验/游戏电子学习工具,该工具重用了DBpedia中的知识。虽然有使用语义Web的基于游戏/测验的电子学习的作品,但之前的作品都没有应用个性化,这是我们方法的关键新颖之处。特别是,我们开发了一种新的用户本体来表示用户的信息,并根据用户的知识应用语义规则来适应不同的用户。在测试中,用户可以测试从DBpedia中提取的物理、化学和地理领域的知识。为了测试所提出的基于自适应测验的电子学习系统的有效性,我们进行了用户评估,并将我们的系统与基线系统(基于非自适应语义Web的版本)进行了比较。评估表明,与没有自适应的基线电子学习系统相比,用户在基于自适应游戏的电子学习系统中更好地提高了他们的表现,并且更快地完成了测验。
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引用次数: 6
A review of smart TV: Past, present, and future 智能电视回顾:过去、现在和未来
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279002
I. Alam, Shah Khusro, Muhammad Naeem
Smart TV has changed the legacy TV system by providing capabilities of processing and internet connectivity. The amalgamation of TV with processing and internet connectivity has not only attracted the viewers but opened new avenues for researchers as well. In contrast to legacy TV system, smart TV provides better environment for watching TV contents along with online clips, movies, games, browsing, and full support for web 2.0 features. However, connectivity with a public network (internet) brings further challenges and research opportunities, discussed herein. Smart TV is more interactive; however, maintaining smart TV as a lean back device is an issue that needs further research in the field of Human Computer Interaction (HCI). The hybrid nature of smart TV provides more contents for watching; however, this creates the problems of content and cognitive overload. The large Ultra High Definition (UHD) screen, full support for internal and external sensors, and growing operating systems make this device a central hub for smart homes. However, these capabilities make a smart TV more capable of capturing private data. In this paper, we have analyzed the smart TVs from both hardware and software perspectives. Moreover, this paper presents a study of issues and challenges faced by smart TV viewers, which includes the issues related to interactivity, content overloading, privacy, and security.
智能电视通过提供处理能力和互联网连接能力,改变了传统的电视系统。电视与处理和互联网连接的融合不仅吸引了观众,也为研究人员开辟了新的途径。与传统电视系统相比,智能电视提供了更好的观看电视内容的环境,同时还提供了在线剪辑、电影、游戏、浏览等功能,并全面支持web 2.0功能。然而,与公共网络(internet)的连接带来了进一步的挑战和研究机会,本文将对此进行讨论。智能电视更具互动性;然而,保持智能电视作为一个向后倾斜的设备是一个需要在人机交互(HCI)领域进一步研究的问题。智能电视的混合特性提供了更多的观看内容;然而,这就产生了内容和认知超载的问题。超大的超高清(UHD)屏幕,对内部和外部传感器的全面支持,以及不断发展的操作系统,使这款设备成为智能家居的中心枢纽。然而,这些功能使智能电视更有能力捕捉私人数据。本文从硬件和软件两个方面对智能电视进行了分析。此外,本文还研究了智能电视观众所面临的问题和挑战,包括与交互性、内容过载、隐私和安全相关的问题。
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引用次数: 28
Exploring Twitter news biases using urdu-based sentiment lexicon 使用基于乌尔都语的情感词典探索Twitter新闻偏见
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279004
Kamran Amjad, Maria Ishtiaq, Samar Firdous, M. Mehmood
Social media has become a tremendous success in recent times. It has enabled people to keep in touch with each other anytime and anywhere around the globe. People share their opinions and experiences publically through such platforms. Twitter is one of the significant social networking platform that is used by many news media to disseminate breaking news instantaneously. Sentiment analysis of social media is successfully used to gain insights regarding collective behavior of the society. In addition, sentiment analysis is used to detect positive or negative content posted on the social media for various purposes such as riots detection. In this paper, we focus on the sentiment analysis of news tweets in Urdu language by major news sources in Pakistan. By gathering tweets data over the period of 10 months, we built a sentiment lexicon in Urdu language. Moreover, we devise an algorithm that classifies Urdu text into positive, negative, or neutral classes based on the cumulative sentiment score of the text. Our sentiment analysis algorithm achieves 77% accuracy. Furthermore, we have done perspective analysis in which we estimated the bias in the news reporting through tweets with respect to the government with 77.45% accuracy.
近年来,社交媒体取得了巨大的成功。它使人们能够随时随地在世界各地保持联系。人们通过这样的平台公开分享自己的观点和经历。Twitter是一个重要的社交网络平台,被许多新闻媒体用来即时传播突发新闻。社交媒体的情感分析被成功地用于洞察社会的集体行为。此外,情感分析用于检测社交媒体上发布的正面或负面内容,用于检测骚乱等各种目的。本文主要研究巴基斯坦主要新闻来源乌尔都语新闻推文的情感分析。通过收集10个月的推文数据,我们建立了一个乌尔都语的情感词典。此外,我们设计了一种算法,根据文本的累积情绪得分将乌尔都语文本分为积极,消极或中性类。我们的情感分析算法达到了77%的准确率。此外,我们做了透视分析,我们估计了通过推特新闻报道对政府的偏见,准确率为77.45%。
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引用次数: 6
Grey box identification approach for longitudinal and lateral dynamics of UAV 无人机纵向和横向动力学的灰盒识别方法
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8278998
Abdur Rasheed
The modeling of aerospace vehicles using system identification technique is a very effective and significant approach in today's industry. The different analytical methods cannot accurately model the dynamics of unmanned aerial vehicle (UAV). The model obtained using system identification technique represents the UAV in different flight envelopes which lead to development of effective flight control systems. The models for longitudinal and lateral dynamics of UAV is obtained using first principle approach. The recorded flight test data is processed using system identification toolbox of Matlab which result in obtaining grey box models for UAV dynamics using Prediction Error Method (PEM). Validation of both longitudinal and lateral models is carried out along with performance of error analysis. Also the different aerodynamic parameters are obtained for these models. The accuracy of validation results show that these models can be used for flight simulator, autopilot design and other different controller design. UAV model used as reference is SmartOne.
利用系统识别技术对航天飞行器进行建模是当今航天工业中一种非常有效和重要的方法。不同的分析方法不能准确地模拟无人机的动力学特性。利用系统辨识技术得到的模型代表了不同飞行包线下的无人机,为开发有效的飞行控制系统提供了依据。采用第一性原理法建立了无人机的纵向和横向动力学模型。利用Matlab系统识别工具箱对记录的飞行试验数据进行处理,利用预测误差法(PEM)获得无人机动力学灰盒模型。对纵向模型和横向模型进行了验证,并进行了误差分析。并得到了不同型号的气动参数。验证结果表明,该模型可用于飞行模拟器、自动驾驶仪设计和其他不同控制器的设计。参考的无人机型号为SmartOne。
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引用次数: 5
An assessment of key factors for implementing measurement processes in SMEs 中小企业实施测量过程的关键因素评估
Pub Date : 2017-12-01 DOI: 10.1109/ICOSST.2017.8279006
M. Noman, Touseef Tahir, G. Rasool
A measurement framework is proposed to assess the significant factors which influence the successful implementation of software measurement processes at small and medium enterprises (SMEs). The framework consists of 7 factors i.e., external forces, measurement culture, organizational structure, measurement adaptation process, management commitment, acceptance in decision making and measures and metrics. A purposive sampling method is used to conduct an online survey among 217 software professionals to validate the proposed framework. The structural equation modeling and factor analysis is performed to analyze the survey data. We found that management commitment and external forces have a significant impact on adaptation of measurements at SMEs.
提出了一个度量框架来评估影响中小企业(SMEs)软件度量过程成功实施的重要因素。该框架由7个因素组成,即外部力量、度量文化、组织结构、度量适应过程、管理承诺、决策接受以及度量和度量。采用有目的的抽样方法对217名软件专业人员进行在线调查,以验证所提出的框架。采用结构方程建模和因子分析方法对调查数据进行分析。我们发现,管理承诺和外部力量对中小企业测量的适应有显著影响。
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引用次数: 2
期刊
2017 International Conference on Open Source Systems & Technologies (ICOSST)
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