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2016 19th International Conference on Computer and Information Technology (ICCIT)最新文献

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A tale of institutional education in Bangladesh: Students' perspective 孟加拉国机构教育的故事:学生的视角
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860253
Muḥammad Mahdī, Nafisa Anzum, Farzanah Siddique, Md. Rashidujjaman Rifat, Kazi Shahidullah, A. İslam
Education, i.e., the backbone of a nation, encompasses a variety of role players and stakeholders among which students are, perhaps, the most important one. However, analyzing students' feedback on institutional education system from a macro level is yet to be done in the literature. To address this issue, in this paper, we conduct a study on different perspectives of institutional education based on students' feedback. Here, we mostly focus on the institutional education in Bangladesh. Our study is based on the data collected from the students through both on-line and offline surveys. We analyze the collected data to dig out various key aspects such as appropriateness of educational contents, relationship between teachers and students, and extents of malpractice in the institutional education. Additionally, we attempt for identifying different personalities who exhibit significant influence on the students. Our study reveals a number of key findings that may facilitate effective reformation and enhancement of the current educational system under focus.
教育是一个国家的脊梁,它包含了各种各样的角色参与者和利益相关者,而学生可能是其中最重要的一个。然而,文献中还没有从宏观层面分析学生对院校教育系统的反馈。为了解决这一问题,本文以学生的反馈为基础,从不同的角度对大学教育进行了研究。在这里,我们主要关注孟加拉国的机构教育。我们的研究是基于通过在线和离线调查从学生那里收集的数据。我们通过对收集到的数据进行分析,挖掘出教育内容的适宜性、师生关系以及院校教育中的弊端程度等关键方面。此外,我们试图找出对学生有显著影响的不同性格。我们的研究揭示了一些重要的发现,这些发现可能有助于有效地改革和改善当前的教育制度。
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引用次数: 0
A content-aware hybrid architecture for answering questions from open-domain texts 用于回答来自开放领域文本的问题的内容感知混合架构
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860212
Md. Moinul Hoque, P. Quaresma
The current work blends the different paradigms of Question Answering systems and presents a content-aware hybrid architecture for an open-domain factoid questions. It combines a knowledge-based, information extraction-based and a web-based approach in a pipelined architecture to construct an answer to a question keeping the context and discourse of the question in view. The proposed semantic-aware hybrid architecture was compared with other QA systems designed over standard benchmark data. The work has shown enough potential in terms of accuracy and time domain complexity and can be used effectively as a semantic understanding-based QA system.
目前的工作融合了问答系统的不同范式,并提出了一个开放域事实问题的内容感知混合架构。它结合了基于知识、基于信息提取和基于网络的方法,在流水线架构中构建问题的答案,并保持问题的上下文和话语。将所提出的语义感知混合体系结构与基于标准基准数据设计的其他QA系统进行了比较。该方法在精度和时域复杂度方面显示出足够的潜力,可以有效地作为基于语义理解的QA系统。
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引用次数: 4
A novel approach to select most effective attributes for SVM algorithm 一种新的SVM算法中最有效属性选择方法
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860223
Protik Chandra Biswas, Mohiudding Ahmad
Support Vector Machine (SVM) is one of the most popular machine learning algorithms for pattern recognition of a specific dataset. The percentage of accuracy from a defined SVM model greatly depends on the selection of appropriate attributes for SVM model. But the most effective attributes selection for SVM algorithm is one of the most difficult tasks for any kind of data classification. A mathematical model is proposed in this paper through which effectiveness of attributes for SVM model can be calculated. The validity of this SVM model is justified by comparing the effectiveness of a SVM model with the rate of pattern recognition for corresponding SVM model. Linear, Radial Basis Function (RBF), Polynomial Kernel SVM algorithms are used for pattern recognition. The percentage of accuracy of pattern recognition increases with the effectiveness of SVM model. The range of value of effectiveness of SVM model is 0 to
支持向量机(SVM)是用于特定数据集模式识别的最流行的机器学习算法之一。所定义的SVM模型的准确率很大程度上取决于选择合适的SVM模型属性。但SVM算法中最有效的属性选择是任何类型数据分类中最困难的任务之一。本文提出了一个数学模型,通过该模型可以计算支持向量机模型属性的有效性。通过将SVM模型的有效性与相应SVM模型的模式识别率进行比较,验证了SVM模型的有效性。线性,径向基函数(RBF),多项式核支持向量机算法用于模式识别。随着支持向量机模型的有效性提高,模式识别的正确率也随之提高。SVM模型的有效性取值范围为0 ~
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引用次数: 0
Towards optimal convolutional neural network parameters for bengali handwritten numerals recognition 孟加拉手写体数字识别的卷积神经网络参数优化研究
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860237
A. Chowdhury, M. S. Rahman
This work attempts to find the most optimal setting for a convolutional neural network (CNN) for Bengali digit dataset classification. Recognition of handwritten Bengali numerals has recently gained much interest among researchers due to the significant performance gain found in the recognition of English numerals using neural network based architecture. In this work, a new dataset of 70,000 samples were created first by taking handwriting of 1750 persons where 982 persons were male and the rests were female. These individual image samples are then converted to grayscale, normalized, inverted and pickled to complete the data preprocessing step. Later this dataset was recognized using several convolutional neural network settings where the most optimal setting being found to be two convolution layer with Tanh activation, one hidden layer with Tanh activation and one output layer with softmax activation. The proposed optimal number of feature maps is (35, 45). The minimum validation error has been found to be 1.22% which is the current best result compared to all other methods in the literature.
这项工作试图为卷积神经网络(CNN)找到孟加拉数字数据集分类的最佳设置。手写体孟加拉数字的识别最近引起了研究人员的极大兴趣,因为使用基于神经网络的体系结构在识别英文数字方面发现了显著的性能提升。在这项工作中,首先收集了1750人的笔迹,其中982人是男性,其余的是女性,并创建了7万个样本的新数据集。然后将这些单独的图像样本转换为灰度、归一化、倒置和泡渍,完成数据预处理步骤。后来,使用几个卷积神经网络设置来识别该数据集,其中发现最优设置是两个具有Tanh激活的卷积层,一个具有Tanh激活的隐藏层和一个具有softmax激活的输出层。提出的最优特征映射数为(35,45)。最小验证误差为1.22%,与文献中所有其他方法相比,这是目前最好的结果。
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引用次数: 10
Policy issues: Allowing mobile operators to provide specialized e-services in Bangladesh 政策问题:允许移动运营商在孟加拉国提供专门的电子服务
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860250
N. Sakib, M. Rokonuzzaman
E-Service in Bangladesh has become a catalytic agent for empowering additional effective government services. This article investigates issue covering clues on IT policy about the implementation of marketable commercial services as mobile e-services under the boundary expansion issue of large organization like Mobile Network Operator. In Bangladesh, Specialized services are provided by different vendors, where the service quality is always differed, because there is no integration of such collaboration. Operators can play a vital role by enabling the service through Value Added Service (VAS). Users and providers can find solutions that can help to increase penetration of this untouched sector. In this article, we organize some issues, provisioning approximately resilient guideline to the operators, so that operators cannot play monopoly and ensure a healthy competition. It concentrate on the effects of within and between standards race and competition between operators on performance developing and adopting new VAS services like e-health, as swelling of penetration of mobile services. Our empirical exploration provides an indication of introduction of specialized VAS service over Mobile Network, so users of the core services will be migrated to new data services. Finally, the control of the service level agreement of e-services with fair practice of competition among operators to positively change the curve of specialized service penetration is investigated.
孟加拉国的电子服务已成为授权其他有效政府服务的催化剂。本文从移动网络运营商这类大型组织的边界扩展问题出发,探讨了在移动电子服务等可市场化商业服务实施过程中的IT政策线索。在孟加拉国,专业服务是由不同的供应商提供的,服务质量总是参差不齐,因为这种合作没有整合。通过增值服务(VAS),运营商可以发挥至关重要的作用。用户和供应商可以找到解决方案,帮助增加这个未触及领域的渗透。本文整理了一些问题,为运营商提供了近似弹性的指导方针,使运营商不能垄断,确保良性竞争。它集中于标准内部和标准之间的竞争以及运营商之间的竞争对性能开发和采用新的VAS服务(如电子健康)的影响,随着移动服务渗透的扩大。我们的经验探索提供了一个在移动网络上引入专门的VAS服务的指示,因此核心服务的用户将迁移到新的数据服务。最后,研究了运营商公平竞争对电子服务服务水平协议的控制,以正向改变专业化服务渗透率曲线。
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引用次数: 0
Factors affecting employees' behavioral intention to adopt accounting information system (AIS) in Bangladesh 孟加拉国员工采用会计信息系统行为意向的影响因素
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860249
M. Amin, Shobnom Munira, A. Azhar, Afrina Amin, M. Karim
Accounting Information System (AIS) is a platform in which the core concepts of accounting, such as, recording, classifying, storing, safeguarding and interpreting data and reporting accounting information are performed by using various standardized and customized software for better financial control. A wide range of accounting software, such as, Tally, Troyee, AccPac, Oracle Applications, SAP, etc. are already being installed by various organizations in Bangladesh. Through this study, we wanted to know the determinants of employees' acceptance of various AIS in Bangladesh, by applying the Technology Acceptance Model (TAM). A total number of 82 employees from four different companies were provided with the structured questionnaires. Finally, 80 questionnaires were accepted and encoded. The results of the study are based on factors, such as, PU, PEOU, ATU, BIU, andPBC as suggested by Davis in his model known as TAM. All variables were analyzed by using SMART PLS, which is a full-flagged Structural Equation Modeling (SEM) tool. The result shows that Perceived Behavioral Control (PBC) significantly affects employees' behavioral intention to use AIS through mediated effect on PU and PEOU. Hence, PBC is acting as a strong antecedent of the latent variables PU and PEOU in Bangladesh.
会计信息系统(Accounting Information System, AIS)是利用各种标准化和定制化的软件,完成会计数据的记录、分类、存储、保护和解释以及会计信息报告等会计核心概念的平台,以更好地实现财务控制。各种各样的会计软件,如,tali, Troyee, AccPac, Oracle Applications, SAP等,已经被孟加拉国的各种组织安装。通过这项研究,我们希望通过应用技术接受模型(TAM)来了解孟加拉国员工接受各种AIS的决定因素。共有来自四家不同公司的82名员工获得了结构化问卷。最终接受并编码80份问卷。研究结果基于Davis在TAM模型中提出的PU、PEOU、ATU、BIU和pbc等因素。所有变量分析使用SMART PLS,这是一个全标记结构方程建模(SEM)工具。结果表明,感知行为控制(PBC)通过对PU和PEOU的中介效应显著影响员工使用AIS的行为意愿。因此,PBC是孟加拉国潜在变量PU和PEOU的强大先行项。
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引用次数: 5
Effects of heuristics in path planning for mobile robots in uncertain and dynamic environments 不确定和动态环境下移动机器人路径规划中的启发式效应
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860240
Kazi Shah Nawaz Ripon, Khandker M. Qaiduzzaman, Md. Aminul Islam
In this work, several heuristics are proposed to assess their effects in path planning for mobile robots in uncertain and dynamic environments. Path planning for mobile robots is a widely used technique where an optimal collision-free path is searched through an environment. It is one of the most important primitives in robotics and is considered to be a hard problem. Since environments may contain static as well as dynamic obstacles, the optimal path must be collision-free. The situation becomes complicated for mobile robots when an environment consists of dynamic obstacles with random velocities and arbitrary directions. Though there have been a lot of research in static environments, concentration given on uncertain and dynamic environments is a few. Our goal is to find a path in such uncertain and dynamic environments considering simulation time and travel-distance. In order to analyze the robustness of our proposed heuristics, we plugged each of these heuristics in several search algorithms. We also compared the performances of these algorithms. Finally, this paper analyzes the effects of the proposed heuristics in path planning in uncertain and dynamic environments which are usual real-word scenarios for mobile robots.
在这项工作中,提出了几种启发式方法来评估它们在不确定和动态环境中移动机器人路径规划中的影响。移动机器人的路径规划是一种广泛应用的技术,它在一个环境中寻找最优的无碰撞路径。它是机器人学中最重要的原语之一,被认为是一个难题。由于环境可能包含静态和动态障碍,所以最佳路径必须是无碰撞的。当移动机器人所处的环境中存在随机速度和任意方向的动态障碍物时,情况就变得复杂起来。虽然对静态环境的研究很多,但对不确定环境和动态环境的研究却很少。我们的目标是在考虑仿真时间和行程距离的不确定动态环境中找到一条路径。为了分析我们提出的启发式算法的鲁棒性,我们将每个启发式算法插入到几个搜索算法中。我们还比较了这些算法的性能。最后,本文分析了所提出的启发式算法在不确定和动态环境中的路径规划效果,这些环境通常是移动机器人的实际场景。
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引用次数: 0
Blind Reader: An intelligent assistant for blind 盲人阅读器:盲人智能助手
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860200
S. Sabab, Md. Hamjajul Ashmafee
In the real world, books and documents are the sources of knowledge. But this knowledge is only bounded to people with clear vision. Our society includes a group of people who does not have a clear vision or people who are blind. For this group, world is like a black illusion. The shape and structure's information of an object is unavailable to them let alone reading a document. For blind acquiring knowledge by reading documents is cumbersome. Braille is one of the methods which is used to read a book or document. In this method, any document has to be converted to braille format to become understandable to a blind. The problem arises due to the fact that, this is an expensive procedure and many times not available. The solution is rather simple, introduce a smart device with a multimodal system that can convert any document to the interpreted form to a blind. A blind can read document only by tapping words which is then audibly presented through text to speech engine. “Blind Reader” — developed for touch devices which is user friendly and effective interactive system for visionless or low vision people.
在现实世界中,书籍和文献是知识的来源。但这种知识只局限于有清晰视野的人。我们的社会包括一群没有清晰视野的人或盲人。对于这群人来说,世界就像一个黑色的幻觉。他们无法获得对象的形状和结构信息,更不用说读取文档了。对于盲目地通过阅读文献来获取知识是很麻烦的。盲文是用于阅读书籍或文件的方法之一。在这种方法中,任何文档都必须转换为盲文格式,以便盲人可以理解。问题的出现是由于这是一个昂贵的过程,而且很多时候是不可用的。解决方案非常简单,引入一个带有多模式系统的智能设备,该系统可以将任何文档转换为盲的解释形式。盲人只能通过点击文字来阅读文件,然后通过文本向语音引擎发出声音。“盲人阅读器”-为无视力或低视力人士开发的触摸设备,这是一个用户友好和有效的互动系统。
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引用次数: 18
Development of smart communication system for the autistic and the disabled 自闭症和残疾人智能通信系统的开发
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860262
Shakil Ahmed, Nafis Farhan, A. Ashfaq, Mohammad Monirujjaman Khan
Using technology to improve the life-style of people with special needs has become a hot research topic in today's world. The making of a smart device that can solve the communication issues faced by people with autism spectrum disorder(ASD) and disability is presented in this paper. Fueled by the intent of bridging the communication gap between these people and the rest of the world, we have built a small portable radio frequency(RF) communication device using basic electronic equipments that will allow them to stay in close contact with their family members; even if, they are miles apart from each other. A mere push of a button will notify everyone in the family of the current state of mind of the ASD and disabled people. Each button is loaded with a unique message in audio format, ready to be launched off to loudspeakers that will play them as loud as possible. With this project we are aiming to get rid of the communication problems faced by disabled people and thus help them realize that technology can make their lives shine brighter than it has ever before. Our prototype can be used at homes as well as in hospitals, where patients other than disabled people can also find it useful to their needs. Before getting started we did some intensive research on autism on the internet as well as made a trip to a place that schools autistic people. There we learned a great deal about the various methods used so far to educate and nurture them. One of the methods required the teachers to pronounce words slowly and repeat five times, then the students would be instructed to repeat after them, another involves the good old method that utilizes the power of visualization; in other words, seeing and learning.
利用技术来改善有特殊需要的人的生活方式已经成为当今世界的一个热门研究课题。本文介绍了一种可以解决自闭症谱系障碍(ASD)和残疾患者所面临的沟通问题的智能设备的制造。为了弥合这些人与世界其他地方的沟通差距,我们制造了一种小型便携式射频通信设备,使用基本的电子设备,使他们能够与家人保持密切联系;即使他们相隔千里。只需按一下按钮,就可以通知家庭中的每个人ASD和残疾人的当前精神状态。每个按钮都加载了一个独特的音频格式的信息,准备发射到扬声器,将播放他们尽可能大声。通过这个项目,我们的目标是摆脱残疾人面临的沟通问题,从而帮助他们意识到技术可以使他们的生活比以往任何时候都更加光明。我们的原型既可以在家里使用,也可以在医院使用,除了残疾人以外的病人也可以发现它对他们的需求很有用。在开始之前,我们在网上做了一些关于自闭症的深入研究,并去了一个教育自闭症患者的地方。在那里,我们学到了很多迄今为止用来教育和培养他们的各种方法。其中一种方法是要求教师缓慢发音并重复五次,然后指示学生跟着他们重复,另一种方法是利用可视化的力量;换句话说,就是观察和学习。
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引用次数: 0
Smartphone based blood flow feature extraction and classification from Doppler spectrum images 基于智能手机的多普勒频谱图像血流特征提取与分类
Pub Date : 2016-12-01 DOI: 10.1109/ICCITECHN.2016.7860203
Biswabandhu Jana, S. Mitra, K. Oswal, G. Saha, S. Banerjee
Ultrasound (US) Doppler spectrograms have been widely used for diagnosing vascular obstructions. This paper presents an Android smartphone based new approach for detecting the blood flow condition based on the US Doppler spectrogram images. A set of 59 spectrograms acquired from a US Doppler system is processed to extract features, and these non-redundant features are fed into a supervised classifier to determine the normal and abnormal blood flow. The classification is performed using the k-nearest neighbors (k-NN), Support vector machine (SVM), Naive Bayes (NB) and Multilayer perception (MLP) based classifiers. The SVM based classifier has shown superior performance, having an accuracy of 86.4 %, with a sensitivity and specificity of 96.4 % and 77.4 % respectively. The complete technique is implemented as an Android application and the results show the efficacy of the presented approach for the automated diagnosis of arterial diseases.
超声(US)多普勒频谱已广泛用于诊断血管阻塞。本文提出了一种基于安卓智能手机的基于美国多普勒频谱图像的血流状态检测新方法。从美国多普勒系统获得的一组59个频谱图进行处理以提取特征,并将这些非冗余特征输入到监督分类器中以确定正常和异常的血流。分类使用k近邻(k-NN)、支持向量机(SVM)、朴素贝叶斯(NB)和基于多层感知(MLP)的分类器进行。基于支持向量机的分类器表现出优异的性能,准确率为86.4%,灵敏度和特异性分别为96.4%和77.4%。完整的技术作为Android应用程序实现,结果表明该方法对动脉疾病的自动诊断是有效的。
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引用次数: 0
期刊
2016 19th International Conference on Computer and Information Technology (ICCIT)
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