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2013 International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献

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Tech review: Game platform for upgrading counting ability on preschool children 科技评论:提升学龄前儿童数数能力的游戏平台
E. Sudarmilah, R. Ferdiana, L. Nugroho, A. Susanto, Neila Ramdhani
One of difficulties in learning mathematics (counting) can be overcome by providing a relaxed and fun learning for preschoolers. Games can be used as an alternative solution. This study was conducted as a pilot project for reviewing the Kodu, Unity 3D and Construct 2 game platform for this purpose. The method used is the classification, review/evaluation, prototyping and analysis. Tech Review of these game platforms will be discussed as a result in this paper.
学习数学(计数)的困难之一可以通过为学龄前儿童提供轻松和有趣的学习来克服。游戏可以作为另一种解决方案。这项研究是作为试点项目进行的,目的是审查Kodu, Unity 3D和Construct 2游戏平台。使用的方法是分类、审查/评估、原型和分析。本文将讨论这些游戏平台的技术评论。
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引用次数: 22
Controlling of non-minimum phase micro hydro power plant based on adaptive B-Spline neural network 基于自适应b样条神经网络的非最小相位微型水电厂控制
I. Setiawan, A. Priyadi, M. Purnomo
Hydro power plant is a power generation system that have non-minimum phase model showing initial inverse response characteristic. For span of broad electrical load regulation, conventional non adaptive control techniques, such as PI and PID control would degrade the performance of this power generation system. To ensure the stability of Hydro power plant for severe load variations, we need a kind of controller that has adaptive capability. On the other hand, the utilization of conventional adaptive techniques such as Self Tuning Regulator and Model Reference Adaptive Controller will be diverge to control plants showing non-minimum phase mode. In this paper, the implementation of adaptive intelligence control based on B-Spline neural network along with forward controller for controlling micro hydro power plant will be presented. Based on its characteristic, this adaptive control technique could be implemented directly without any prior training phase. From the simulation studies, the proposed scheme results fast transient response to load variations compared to traditional PI control and also very stable in responding to severe disturbance.
水电厂是一种具有初始逆响应特性的非最小相位模型的发电系统。对于大负荷调节范围,传统的非自适应控制技术,如PI和PID控制,会降低发电系统的性能。为了保证水电站在负荷剧烈变化时的稳定运行,需要一种具有自适应能力的控制器。另一方面,利用传统的自适应技术,如自整定调节器和模型参考自适应控制器,将发散到控制非最小相位模式的对象。本文介绍了基于b样条神经网络的自适应智能控制与前向控制器在微水电厂控制中的应用。基于其特点,该自适应控制技术可以直接实现,不需要任何预先的训练阶段。仿真研究表明,与传统的PI控制相比,该方案对负载变化的瞬态响应速度快,对严重干扰的响应也很稳定。
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引用次数: 3
A game-theoretic approach for dynamic spectrum sharing in cognitive radio networks 认知无线电网络中动态频谱共享的博弈论方法
K. Trisna, I. Mustika, Widyawan, S. Sulistyo
In a spectrum sharing system, lower-priority users are allowed to spatially reuse the spectrum allocated to higher-priority users as long as they do not disrupt communications of the latter. Therefore, to improve spectrum utilization, an important requirement for the former users is to manage the interference and ensure that the latter users can maintain reliable communications. This paper presents a game theoretic framework to model the dynamic spectrum sharing in cognitive radio networks. First, a utility function that captures the selfish and cooperative behavior of the lower-priority users to manage the interference by selecting the best channel with minimal intra- and inter-system interference is defined. Next, based on the defined utility function, the proposed framework can be formulated as a potential game; thus, the convergence to a Nash equilibrium point is ensured as long as the best response dynamic is adopted. At the equilibrium point, power allocation algorithm is proposed such that the interference to higher-priority users can be maintained below the maximum allowable level. The simulation results show the convergence of the proposed potential game and the performance improvement of higher-priority users in terms of SINR and outage probability.
在频谱共享系统中,只要不影响高优先级用户的通信,低优先级用户可以在空间上重用分配给高优先级用户的频谱。因此,为了提高频谱利用率,对前者用户的一个重要要求就是对干扰进行管理,保证后者用户能够保持可靠的通信。提出了一种基于博弈论的认知无线电网络动态频谱共享模型。首先,定义了一个效用函数,该函数捕获了低优先级用户的自私和合作行为,通过选择具有最小系统内和系统间干扰的最佳信道来管理干扰。其次,基于已定义的效用函数,可以将所提出的框架表述为潜在的博弈;因此,只要采用最优响应动态,就能保证收敛到纳什平衡点。在均衡点处,提出了将对高优先级用户的干扰维持在最大允许水平以下的功率分配算法。仿真结果表明,所提出的潜在博弈具有收敛性,高优先级用户在信噪比和中断概率方面的性能有所提高。
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引用次数: 5
An analysis method of effect of linear polarized electromagnetic exposure from mobile phone to human head with various incident angles 不同入射角下手机线极化电磁暴露对人体头部影响的分析方法
A. Satriya, E. Setijadi
This research is focused on the effect of various incident angles of the linear polarized electromagnetic exposure from mobile phone to the value of Specific Absorption Rate (SAR) in human head which is a safety standardization for mobile phone user. Method of Moment is chosen to calculate the electric field in the human head because it is the most suitable method. The incident electromagnetic is assumed as a plane wave with a frequency at 900 MHz and power density of antenna for 4.5 W/m2. The integral used for calculation is Tensor Integral Equation (TIE). Human head is modelled as a homogeneous spheroid and is divided into cubical cells. The incident angles which are examined are 0°(horizontal polarization), 15°, 30°, 45°, 60°, 75°and 90°(vertical polarization). The results show that the incident angle does not affect the average SAR in the human head, but it affects the local and maximum SAR of the cells in human head. The difference of seven angles maximum SAR does not vary in the form of linear but in the form of damped sinusoidal. The angle which produces the least maximum SAR is 0°namely 0.1521 W/kg whereas the angle which produces the highest maximum SAR is produced by angle 15°namely 0.1748 W/kg. The highest SAR is obtained around the side of the head near the electromagnetic exposure source. None of the SAR produced by the variation of incident angle is above the limit of safety standard.
本文主要研究手机线极化电磁辐射不同入射角对人体头部比吸收率(SAR)值的影响,该值是手机用户安全标准。由于矩量法是最合适的计算人脑电场的方法,所以选择矩量法来计算人脑电场。假设入射电磁波为平面波,频率为900 MHz,天线功率密度为4.5 W/m2。用于计算的积分是张量积分方程(TIE)。人的头部被建模为一个均匀的球体,并被划分为立方体细胞。检测的入射角为0°(水平偏振)、15°、30°、45°、60°、75°和90°(垂直偏振)。结果表明,入射角不影响人体头部的平均SAR,但会影响人体头部细胞的局部和最大SAR。7个角度最大SAR的差值不是线性变化,而是衰减正弦变化。产生最小最大SAR的角度为0°,即0.1521 W/kg,而产生最大SAR的角度为15°,即0.1748 W/kg。在靠近电磁暴露源的头部一侧获得最高的SAR。入射角变化产生的SAR均不超过安全标准限值。
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引用次数: 3
Asynchronous delta-sigma modulator with multiple-valued output 具有多值输出的异步delta-sigma调制器
A. A. Mannan, H. Tamura, K. Tanno
In this paper, a continuous-time asynchronous delta-sigma (ΔΣ) modulator (ADSM) is proposed. The proposed circuit is multiple-valued output. The circuit is consists of hysteresis comparator, operational transconductance amplifier, and digital-to-analog circuits. Next, an example circuit of 5-level ADSM is discussed and simulated. An analog-to-digital converter consisted of the 5-level ADMS and multiple-valued logic decoder and digital counter is presented and simulated. All of the proposed circuits are simulated in transistors level through HSPICE with set of 2.0μm CMOS process parameters. Detailed simulation results are shown in this paper.
本文提出了一种连续时间异步δ - σ (ΔΣ)调制器(ADSM)。所提出的电路是多值输出。该电路由迟滞比较器、运算跨导放大器和数模电路组成。然后,对一个5电平ADSM的示例电路进行了讨论和仿真。提出并仿真了一种由5级ADMS、多值逻辑解码器和数字计数器组成的模数转换器。采用HSPICE对所提出的电路进行了晶体管级的仿真,并设置了2.0μm CMOS工艺参数。文中给出了详细的仿真结果。
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引用次数: 0
Word similarity algorithm for merging Thai Herb information from heterogeneous data sources 从异构数据源中合并泰国草药信息的词相似度算法
P. Chainapaporn, P. Netisopakul
This paper proposes two processes for merging Thai Herb information obtained from heterogeneous data sources. The objective is to combine different formats of Thai herb information into one consistent representation. The processes are implemented in a Sourcing and Merging Agent (SMA) of a Multi-Agent Thai Herb Recommendation system (MA_THR). The first process aims to find and merge the same Thai herb with different names. The second process aims to find synonyms of symptoms. Experiments give 93% accuracy of merging Thai herb information using names and 97% accuracy of finding the similarity between symptoms.
本文提出了两种从异构数据源获取的泰国草药信息的合并过程。目标是将不同格式的泰国草药信息组合成一个一致的表示形式。这些过程是在多代理泰国草药推荐系统(MA_THR)的采购和合并代理(SMA)中实现的。第一个过程的目的是找到并合并相同的泰国草药不同的名称。第二个过程的目的是找到症状的同义词。实验表明,使用名称合并泰国草药信息的准确率为93%,发现症状相似性的准确率为97%。
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引用次数: 2
Efficiency factor and risk factor based user case point test effort estimation model compatible with agile software development 与敏捷软件开发兼容的基于效率因子和风险因子的用户用例点测试工作量估算模型
Abu Wahid Md Masud Parvez
In software outsourcing industry, to win a contract, outsourcing companies need to consider the price that they will introduce to customers. Therefore, estimation has played an important role in any type of software project and as well as for test projects. Particularly, the estimation of testing has been more critical and magnitude as companies need to present or bid their prices on the project to win the outsourcing contract. Wrong estimation can negatively affect the company sales in both ways. On the one side, the profit margin could be reduced or hurt when the bidding is less than that real effort. On the other side, the company could lose the project when the bidding is higher than that of competitors. Therefore, it is extremely necessary to apply economic and systematic estimation model or process to enhance the accuracy in estimation. The integration of highly skilled workforce and accurate test effort estimation software will provide significant benefits to companies. Up to now, there are various existing models of test effort estimation, yet use case point estimation is one of the most popular models in the agile software development industry. The present paper aims to investigate the use case point estimation model. Following the analysis, we have developed two important elements namely, efficiency and risk factor based on a new layer in the model developed by us. The benefit of the new model is to increase the performance and effectiveness of the use case point estimation model.
在软件外包行业,为了赢得合同,外包公司需要考虑他们将向客户介绍的价格。因此,评估在任何类型的软件项目以及测试项目中都扮演着重要的角色。特别是,测试的评估变得更加关键和重要,因为公司需要在项目上展示或投标他们的价格以赢得外包合同。错误的估计会在两方面对公司的销售产生负面影响。一方面,当出价低于实际努力时,利润率可能会减少或受损。另一方面,当出价高于竞争对手时,公司可能会失去项目。因此,采用经济、系统的估算模型或流程来提高估算精度是十分必要的。高度熟练的劳动力和准确的测试工作评估软件的集成将为公司提供显著的好处。到目前为止,已有各种各样的测试工作量估计模型,而用例点估计是敏捷软件开发行业中最流行的模型之一。本文旨在研究用例点估计模型。在分析的基础上,我们在模型中增加了一个新的层次,提出了效率和风险两个重要的要素。新模型的好处是提高了用例点估计模型的性能和有效性。
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引用次数: 18
Refactoring rules effect of class cohesion on high-level design 重构规则类内聚对高级设计的影响
Arwin Halim, P. Mursanto
Various refactoring rules and their impact on class cohesion at high-level designs have been investigated. Early measurement and improvement of internal quality attributes such as cohesion, allows developers to avoid extensive review, frequent modification and rewriting of specifications, designs, and source codes. The impact of refactoring is obtained by comparing class cohesion of a design before and after refactoring applied. A set of class cohesion metrics that suits four properties of a good class cohesion metric was chosen based on theoretical analysis and supported by empirical evidence. We found that refactoring rules does not always improve class cohesion values.
各种重构规则及其对高级设计中的类内聚的影响已经被研究过。对内部质量属性(如内聚)的早期度量和改进,允许开发人员避免广泛的审查、频繁的修改和重新编写规范、设计和源代码。重构的影响是通过比较应用重构前后设计的类内聚来获得的。在理论分析和实证支持的基础上,选择了一套符合良好类凝聚力指标四个特征的类凝聚力指标。我们发现重构规则并不总能提高类内聚值。
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引用次数: 8
Load distribution using modified RED for multipath TCP communication 使用改进的RED进行多路径TCP通信的负载分配
S. Prabhavat, R. Varakulsiripunth, S. Utsumi, Yasushi Kato
Demand for large bandwidth network connections is growing continuously while network connections via multiple paths can exist because of high degree of connectivity. Utilization of the multiple paths is an economical solution for provisioning large network capacity to meet the users' requirements but it brings about key issues such as load imbalance (causing a large queue and buffer overflow at a gateway) and packet reordering problems that have significant impacts on TCP connections. In this paper, we propose a load distribution model for TCP transmission, called Load Distribution over Multipath with Extended Drop Slope Random Early Detection (LDM/ExRED). LDM/ExRED takes advantages of RED mechanism to maintain a small queue, avoid buffer overflow at a gateway, and mitigate packet reordering problem. In addition, it reduces peak buffer occupancy by using our modified RED (i.e., ExRED). Our work will be evaluated and compared to the other existing models by simulations under realistic traffic conditions.
对大带宽网络连接的需求不断增长,同时由于网络连接程度高,可以存在多路径的网络连接。利用多路径是提供大网络容量以满足用户需求的一种经济解决方案,但它带来了一些关键问题,如负载不平衡(在网关处导致大量队列和缓冲区溢出)和数据包重排序问题,这些问题对TCP连接有重大影响。在本文中,我们提出了一种TCP传输的负载分布模型,称为扩展下降斜率随机早期检测的多路径负载分布(LDM/ExRED)。LDM/ExRED利用RED机制来维持一个小的队列,避免网关缓冲区溢出,减轻数据包重排序问题。此外,它通过使用我们修改的RED(即ExRED)来减少峰值缓冲区占用。我们的工作将被评估,并通过在现实交通条件下的模拟与其他现有模型进行比较。
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引用次数: 2
Predicting latent attributes of Twitter user by employing lexical features 利用词汇特征预测Twitter用户的潜在属性
Elisafina Siswanto, M. L. Khodra
The rapid growth of social media, especially Twitter in Indonesia, has produced a large amount of user generated texts in the form of tweets. Since Twitter only provides the name and location of its users, we develop a classification system that predicts latent attributes of Twitter user based on his tweets. Latent attribute is an attribute that is not stated directly. Our system predicts age and job attributes of Twitter users that use Indonesian language. Classification model is developed by employing lexical features and three learning algorithms (Naïve Bayes, SVM, and Random Forest). Based on the experimental results, it can be concluded that the SVM method produces the best accuracy for balanced data.
社交媒体的快速发展,尤其是印度尼西亚的Twitter,产生了大量以tweet形式的用户生成文本。由于Twitter只提供其用户的姓名和位置,因此我们开发了一个分类系统,该系统可以根据Twitter用户的tweet预测其潜在属性。潜在属性是没有直接声明的属性。我们的系统预测使用印尼语的Twitter用户的年龄和工作属性。利用词法特征和三种学习算法(Naïve Bayes, SVM, Random Forest)建立分类模型。实验结果表明,支持向量机方法对平衡数据的提取精度最高。
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引用次数: 18
期刊
2013 International Conference on Information Technology and Electrical Engineering (ICITEE)
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