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2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)最新文献

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Brain Tumor Detection With Tumor Region Analysis Using Adaptive Thresholding And Morphological Operation 基于自适应阈值和形态学运算的肿瘤区域分析脑肿瘤检测
Bidhan Biswas, Hossain Shahid Soroardi, Mohammed J. Islam
Tumor in brain is life threatening but proper detection of tumor at early stage may save many lives. In our research, we have proposed an adaptive threshold value selection technique with morphological operation for the detection of brain tumor which is very much promising. Our proposed method can adapt with different kinds of intensity values of the pixels of MRI FLAIR image and can detect tumor efficiently. Initially we have detected the highest intensity value of the brightest region assuming as tumorous cell and also specify an intensity value which is covering maximum pixels assuming as healthy cells and their difference is also being calculated. If the difference between the maximum intensity value of the brightest region and the intensity value of any random pixel is in the range of the previous difference, then the pixel is detected as a member of tumor cell otherwise not. In this research, we have used BRATS 2013 and 2015 datasets with accuracy 95% and 89.78% respectively. As our datasets have ground truth value, we have examined our detected images with the ground truth images through the parameters centroid and area.
脑肿瘤是危及生命的疾病,早期及时发现可能挽救许多人的生命。在我们的研究中,我们提出了一种形态学操作的自适应阈值选择技术用于脑肿瘤的检测,这是非常有前途的。该方法可以适应MRI FLAIR图像像素的不同强度值,有效地检测出肿瘤。首先,我们检测了假设为肿瘤细胞的最亮区域的最高强度值,并指定了假设为健康细胞的覆盖最大像素的强度值,并计算了它们的差异。如果最亮区域的最大强度值与任意随机像素的强度值之间的差值在前一个差值的范围内,则该像素被检测为肿瘤细胞的成员,否则不检测。在本研究中,我们使用BRATS 2013年和2015年的数据集,准确率分别为95%和89.78%。由于我们的数据集具有地面真值,我们通过形心和面积参数将检测到的图像与地面真值图像进行检验。
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引用次数: 0
An Effective Approach to Communicate with the Deaf and Mute People by Recognizing Characters of One-hand Bangla Sign Language Using Convolutional Neural-Network 基于卷积神经网络的单手孟加拉语手语识别与聋哑人交流的有效方法
Alfat Jahan Rony, Khairul Hossain Saikat, Mahdia Tanzeem, F. M. Rahat Hasan Robi
Sign language is one of the best communication medium for Deaf and Mute people who can not speak to others or hear from others. In most of the cases, the relatives or family members of Deaf and Mute person face difficulties to express their opinion and to communicate with them. Therefore, it is not easy to learn sign language for communicating with the Deaf and Mute individuals. Thus, an interpreter is essential to interact with deaf and mute people who can interpret hand gestures to characters and characters to hand gestures. However, the appointment of an expert interpreter for most of the families having deaf and mute members in a low incoming country like Bangladesh. Considering these issues, we propose a system in which all members in a family where deaf and mute family members exists can communicate easily and efficiently. In our proposed system, we have used convolutional neural-network to recognize hand gestures and classify the characters and vice versa. This recognition is so swift that an instant communication system can be developed in which continuous conversion becomes effortless.
手语是聋哑人最好的交流媒介之一,他们无法与他人交谈或听到他人的声音。在大多数情况下,聋哑人的亲属或家庭成员在表达意见和与聋哑人沟通方面面临困难。因此,学习手语与聋哑人交流是不容易的。因此,口译员在与聋哑人交流时是必不可少的,因为聋哑人可以把手势翻译成文字,把文字翻译成手势。然而,在像孟加拉国这样的低移民国家,为大多数有聋哑成员的家庭任命一名专业翻译。考虑到这些问题,我们提出了一个系统,在一个有聋哑家庭成员的家庭中,所有成员都可以轻松有效地沟通。在我们提出的系统中,我们使用卷积神经网络来识别手势并对字符进行分类,反之亦然。这种识别是如此迅速,以至于可以开发出一种即时通信系统,在这种系统中,连续转换变得毫不费力。
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引用次数: 7
Accuracy Improvement of fNIRS based Motor Imagery Movement Classification by Standardized Common Spatial Pattern 基于标准化公共空间模式的fNIRS运动图像分类精度提高
Md Faisal Kabir, Sheikh Md. Rabiul Islam, Md. Asadur Rahman
Motor imagery event classification from functional near-infrared spectroscopy (fNIRS) is one of the most interesting problems of the current brain-computer interfaces (BCIs) challenges. Feature extraction from multiple channel fNIRS signal is always challenging due to its high dimensionality. To reduce the feature dimension, common spatial pattern (CSP) is an effective method. The present research work proposes an algorithm named by standardized common spatial pattern (SCSP) based filtering method for fNIRS based motor imagery classification. This work used both the conventional CSP method and the proposed SCSP method to extract the features from the fNIRS signal through spatial filtering. The results revealed that the proposed SCSP algorithm outperformed the conventional CSP method and channel-wise methods for classifying the two motor imagery event classifications. In addition, it can improve the classification accuracy up to 17% (in average) and 7%(in average) with respect to the channel-wise feature extraction method and conventional CSP algorithm, respectively.
基于功能近红外光谱(fNIRS)的运动图像事件分类是当前脑机接口(bci)挑战中最有趣的问题之一。多通道近红外光谱信号的高维特征提取一直是一个难题。为了降低特征维数,公共空间模式(CSP)是一种有效的方法。本研究提出了一种基于标准化公共空间模式(SCSP)的滤波算法,用于基于近红外光谱的运动图像分类。本文采用传统的CSP方法和提出的SCSP方法对近红外光谱信号进行空间滤波提取特征。结果表明,该算法在两种运动图像事件分类方面优于传统的CSP方法和通道分类方法。此外,相对于通道特征提取方法和传统CSP算法,其分类准确率分别提高了17%(平均)和7%(平均)。
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引用次数: 9
MoS2 Based TFET: Study on Channel Thickness Dependent Performance 基于二硫化钼的TFET:沟道厚度相关性能研究
Shakil Mahmud Boby, R. Islam
The layered two-dimensional (2D) nanoelectronic devices have pulled in colossal consideration due to their magnificent switching features and tremendous on/off current ratios. We have proposed a double gate (DG) Molybdenum Disulfide (MoS2) basedn-type tunnel field effect transistor (TFET) that offers much lower subthreshold swing $(SS)$ compared to conventional MOS devices, which is considered as a supreme figure of merit in transistor performance. Since the channel thickness, that is, the number of MoS2 layer in the channel has a remarkable influence on the device performance; determination of optimum channel thickness (no. of MoS2 layer) is the main focus in the present study. In order to do so, a closed form analytical model for tunneling current and SS are used. In particular, the impact of channel length, screening length, oxide thickness, doping concentration and oxide dielectric strength are studied as a function of channel thickness to optimize the highest band-to-band tunneling (BTBT) current and lowest SS. The results obtained in the present study reveal that the 3.9nm channel thickness (6-layer) based device gives the highest on-current with respect to 0. 65nm/1.95nm(1-layer)/(3-Iayer) based devices, although 0.65nm channel thickness (1-layer) based device shows the lowest SS.
层状二维(2D)纳米电子器件由于其出色的开关特性和巨大的通断电流比而引起了人们的广泛关注。我们提出了一种双栅(DG)基于二硫化钼(MoS2)的隧道场效应晶体管(TFET),与传统的MOS器件相比,它提供了更低的亚阈值摆幅$(SS)$,这被认为是晶体管性能的最高指标。由于沟道厚度,即沟道中MoS2层的数量对器件性能有显著影响;最佳通道厚度的确定(no。二硫化钼层(MoS2 layer)是目前研究的重点。为了做到这一点,隧道电流和SS的封闭形式的分析模型被使用。特别地,研究了通道长度、筛选长度、氧化物厚度、掺杂浓度和氧化物介电强度作为通道厚度的函数的影响,以优化最高带对带隧道(BTBT)电流和最低SS。本研究的结果表明,基于3.9nm通道厚度(6层)的器件具有相对于0的最高导通电流。基于65nm/1.95nm(1层)/(3层)的器件,尽管基于0.65nm通道厚度(1层)的器件显示出最低的SS。
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引用次数: 1
A proposed approach for automatic supply of purified water along with bill generation in context of Bangladesh 在孟加拉国的背景下,拟议的纯净水自动供应和账单生成方法
Fariha Ahmed, N. Saha, Sanjida Nasreen Tumpa, Iffat Tamanna
Water crisis and pollution are two major existing problems in current state of Bangladesh. Some traditional water level indicator along with notification system and purification arrangement is available in this context. However, the indication and purification system is not fully automated and there needs a lot of maintenance overhead. In this paper, a novel model is proposed to conduct an automatic indication and two-layer purification process for home water. The automated indication system is necessary to stop the probable scarcity of drinking water, wastage of water in various levels and purification system is needed for safe drinking water. Proposed system can also maintain the proper distribution of water during hot and humid weather by sensing temperatures and humidity. Finally, this system will generate automatic bill depending on the exact amount of usages of water by individuals.
水危机和污染是目前孟加拉国存在的两大问题。在这种情况下,一些传统的水位指示器以及通知系统和净化装置是可用的。然而,指示和净化系统不是完全自动化的,需要大量的维护开销。本文提出了一种新型的生活用水自动指示双层净化过程模型。自动指示系统是必要的,以防止可能出现的饮用水短缺,各级水的浪费和净化系统需要安全的饮用水。该系统还可以通过感应温度和湿度,在炎热潮湿的天气中保持水的适当分配。最后,该系统将根据个人的确切用水量自动生成账单。
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引用次数: 1
Bangladesh Cricket Squad Prediction Using Statistical Data and Genetic Algorithm 利用统计数据和遗传算法预测孟加拉国板球队
Md. Jakir Hossain, M. Kashem, Md Saiful Islam, Marium E-Jannat
Cricket is the most popular game in Bangladesh and has become an inseparable part of our culture. This game is played between two teams where every team has 11 players. Each of these players has a different role, such as Batsman, Bowler, All-rounder and Wicket keeper. People of Bangladesh are very concern about the national cricket squad before any match or any series. Besides these perfect squad and combination selection is needed to win any cricket match or any series. In this article a model is proposed to select an optimal cricket squad using statistical data and genetic algorithm. The last 2 years performance of all Bangladeshi players in national league and international matches is considered to predict each player performance and select top 30 players using statistical data. Then genetic algorithm is applied on these 30 players to predict final Bangladeshi national cricket squad of 14 members. The predicted squad in this proposed model is only valid for one day international(ODI) match. But this model is generic and with proper data t20 and test squad will also be predicted.
板球是孟加拉国最受欢迎的运动,已经成为我们文化中不可分割的一部分。这种比赛在两队之间进行,每队有11名球员。这些球员中的每一个都有不同的角色,比如击球手、投球手、全能手和三柱守门员。孟加拉国人民在任何比赛或任何系列赛之前都非常关注国家板球队。此外,要赢得任何板球比赛或任何系列赛,都需要这些完美的阵容和组合选择。本文提出了一个利用统计数据和遗传算法选择最优板球队的模型。考虑所有孟加拉国球员过去两年在国内联赛和国际比赛中的表现,预测每个球员的表现,并使用统计数据选择前30名球员。然后对这30名球员应用遗传算法预测最终的14人孟加拉国国家板球队。本模型预测的阵容只适用于一天的国际(ODI)比赛。但这个模型是通用的,有了适当的数据,也可以预测到20和测试队。
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引用次数: 6
Structural and electronic properties of sublimated graphene on silicon carbide: A First Principle study 碳化硅上升华石墨烯的结构和电子特性:第一性原理研究
Asmaul Smitha Rashid, M. S. Islam
Graphene grown on silicon carbide by Si sublimation is a promising technique where large scale graphene production is possible. Work on sublimated graphene is largely circled around the production technique having a lack study of its inner electronic properties. In this paper a comparative investigation of different properties of sublimated graphene on silicon carbide is performed using Density Functional Theory first principle calculations. For analyzing practical growth condition and properties one atom vacancy defect and N doping is also included in the sublimated graphene layer. Band structure and density of states have been calculated for all three structures including Van der Waals interactions. Difference in band gap from $(100 sim 130)$ meV at dirac point have been observed for each structure. Comparison of Density of States provides significant prove of its dependency on carrier concentration when 6.67 dopant is added. Charge density have been calculated to have better insight on structural characteristics. These investigation of properties provides significant promises for practical use of graphene in device fabrications.
通过硅升华在碳化硅上生长石墨烯是一种很有前途的技术,可以大规模生产石墨烯。升华石墨烯的研究主要围绕生产技术展开,缺乏对其内部电子特性的研究。本文采用密度泛函理论第一性原理计算方法,对碳化硅表面升华石墨烯的不同性质进行了比较研究。为了分析实际的生长条件和性能,在升华石墨烯层中还包含了一个原子空位缺陷和N掺杂。计算了包括范德华相互作用在内的所有三种结构的能带结构和态密度。每种结构在狄拉克点处的带隙差异为$(100 sim 130)$ meV。在添加6.67掺杂剂时,状态密度的比较提供了其依赖于载流子浓度的重要证明。通过计算电荷密度,可以更好地了解结构特性。这些性质的研究为石墨烯在器件制造中的实际应用提供了重要的前景。
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引用次数: 0
Recommendation System for Bangla News Article with Anaphora Resolution 带回指消解的孟加拉语新闻文章推荐系统
Kazi Wohiduzzaman, Sabir Ismail
This paper represents an efficient approach for Bangla News Recommendation. In traditional Bangla news recommendation system, recommend news from the different newspapers of the same day. Actually, they contain the same news just from different sources. From the user's view, it is more desired if users get to know more diverse information on the same news. In this paper, we have represented a noble approach for recommending news on the same topic with more diverse information. At first, we have done news clustering; it is an automatic learning technique aimed to create clusters that are coherent internally, but substantially different from each other. In this approach, we have used anaphora resolution to increase the keywords frequency. We build an automatic word tagger for anaphora resolution, which can tag all nouns and pronouns with five different criteria (Number, Person, Status, Gender, and POS). Next we have counted document wise unique words to calculate tf-Idf algorithm with cosine similarity to make the recommendation. Finally, we have done three different modified technique of reverse hierarchical clustering on the same cluster to identify more distinct news which is related to the same subject.
本文为孟加拉语新闻推荐提供了一种有效的方法。在传统的孟加拉新闻推荐系统中,推荐当天不同报纸的新闻。实际上,它们包含相同的新闻,只是来自不同的来源。从用户的角度来看,用户更希望在同一条新闻中了解到更多不同的信息。在本文中,我们代表了一种高尚的方法来推荐具有更多样化信息的同一主题的新闻。首先,我们做了新闻聚类;它是一种自动学习技术,旨在创建内部连贯但彼此之间本质不同的集群。在这种方法中,我们使用了回指分辨率来增加关键词的频率。我们构建了一个用于回指解析的自动单词标注器,它可以用五个不同的标准(Number、Person、Status、Gender和POS)标记所有名词和代词。接下来,我们统计了文档智能唯一词,计算了余弦相似度的tf-Idf算法,并给出了推荐。最后,我们在同一聚类上进行了三种不同的反向分层聚类改进技术,以识别与同一主题相关的更多不同的新闻。
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引用次数: 4
Development Of a Smart Medical Prescription Service Model 智慧医疗处方服务模式的开发
Bijoya Lala, S. Naher, M. A. Mahmood, Md. Murshadul Hoque
This paper proposes a smart medical prescription service (SMPS) model with the development of a cloud-based database management and control service systems to benefit both doctors and patients. The SMPS system is established in a website-based platform with MySQL database system that maintains a central health service database where all the information, records and reports of patients are saved against a patient’s unique code number. In this system, doctors can check patient’s details, advice for medical tests, prescribe medicine, and any recommendation, the patient can access it for prescription details using own access method, and diagnostic centers update and upload patient’s test reports on time. So all things related to the patient’s prescription and diagnostic services can be seen and served accordingly and smartly. Furthermore, the pharmacy view feature is added for searching desire medicine available to the located pharmacy with price and specifications that leads to a better option for exploring the drug and lessens their sufferings. This system might be a good replacement of conventional system with modern facilities in present and future hospital and clinic.
本文提出智能医疗处方服务(SMPS)模式,开发基于云的数据库管控服务系统,实现医患双赢。SMPS系统建立在一个基于网站的平台上,MySQL数据库系统维护一个中央卫生服务数据库,根据患者的唯一代码号保存患者的所有信息、记录和报告。在该系统中,医生可以查看患者的详细信息、医学检查建议、开药和任何建议,患者可以使用自己的访问方式访问处方详细信息,诊断中心可以及时更新和上传患者的检查报告。因此,所有与患者的处方和诊断服务相关的东西都可以被看到,并相应地和智能地服务。此外,还增加了药房视图功能,用于搜索所在药房的价格和规格,从而为探索药物提供更好的选择,并减轻他们的痛苦。该系统可以很好地替代现有和未来医院和诊所的传统系统。
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引用次数: 0
Chittagong University Teachers' Bus Tracking System Using Smartphone Application 吉大港大学教师巴士追踪系统的智能手机应用
M. Alamgir, I. Jahan, N. Aktar, Anika Nowshin Ramisa
Implementation of a real-time bus tracking system in Chittagong University (CU) is proposed and developed to keep monitoring the teachers' buses and to provide the information of buses to the teachers via android application (app) in a more efficient manner. The idea behind is, there is no such tracking system in CU. Moreover, some limitations arise with the present existing tracking systems in the universe-need hardware maintenance in the GSM/GPRS module that is expensive also, use conventional MySQL database that updates data within few seconds etc. Concerning these limitations, the developed system uses two smartphone applications for transmitting and receiving information using Firebase, an online server with real-time database updating data within few milliseconds that makes the system faster than others. The In-vehicle app receives latitude and longitude values from the satellite and transmits them to the firebase. Firebase updates the data continuously and transmits to the user app. A user can get the information of current location address, distance from any bus stop and time to reach a specific destination of the bus through the User app. Hence, the developed tracking system provides more economical, velocious and user-friendly environment to the users.
提出并开发了吉大港大学校车实时跟踪系统的实施方案,以实现对教师校车的实时监控,并通过android应用程序(app)更高效地向教师提供校车信息。背后的想法是,在CU中没有这样的跟踪系统。此外,目前世界上现有的跟踪系统也存在一些局限性——需要在GSM/GPRS模块中进行硬件维护,而且价格昂贵,使用传统的MySQL数据库更新数据需要几秒钟等。考虑到这些限制,开发的系统使用两个智能手机应用程序来传输和接收信息,使用Firebase,这是一个在线服务器,可以在几毫秒内实时更新数据库数据,使系统比其他系统更快。车载应用程序从卫星接收纬度和经度值,并将其传输到消防基地。Firebase不断更新数据并传输到用户应用程序,用户可以通过用户应用程序获得当前位置地址、到任何公交站点的距离以及到达特定目的地的公交时间等信息。因此,开发的跟踪系统为用户提供了更经济、快捷、人性化的环境。
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引用次数: 3
期刊
2018 4th International Conference on Electrical Engineering and Information & Communication Technology (iCEEiCT)
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