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检索条件"丛书名=Information Systems Engineering and Management"

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Word Embedding based Event Identification and Labeling of Connected Events from Tweets 7

Word Embedding based Event Identification and Labeling of Co...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Das, Proshanta Kumer Al Banna, Minhaj Al Fahad, Md. Abdullah Islam, Salekul Hossain Mukta, Md. Saddam United International University Department of Cse Dhaka Bangladesh

ISBN: (纸本)9781665414074

Events conceived as facts which are fine grained entities that happen around us such as completing graduation, birthday celebration, and death of an individual. Events are regarded as happening in a certain place, during a particular interval of time which can be occurred planned or unplanned way. Social media is a platform where users share their attending events with others. In this paper, we present a novel machine learning based approach to identify events from social media, i.e., Twitter, by using Bidirectional Encoder Representations from Transformers (BERT) based word embedding technique. Events might be connected with each other which might have real life implications such as identifying causal-effect, investigating criminal activities, etc. We also demonstrate a mechanism which can organize relevant events into a cluster based on their spatiotemporal properties. Later, we develop an unsupervised connected event labeling technique by using BERT word embedding approach by exploiting its semantic strength from the content of tweets. Our model shows an outstanding performance which has an accuracy of 91%. We also compare our approach with two competitive baseline techniques (i.e., word2vec and tf-idf) to identify events and our model shows better performance (on an average 5% better accuracy) than that of those baseline models. © 2021 IEEE.

关键词： Embeddings

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Android Application for Posture Analysis using Tensorflow and Computer Vision 7

Android Application for Posture Analysis using Tensorflow an...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Ho, Lee Chee Ismail, Mohd Arfian Universiti Malaysia Pahang Faculty of Computing Malaysia

ISBN: (纸本)9781665414074

Human posture is an important body part that indicates the fundamental structure of the human body. Hence, the aim of this project is to develop an android application that can analyze on the human body posture by capturing an image of the body and provide guide to improve it. It is decided that using Microsoft Azure AI: Custom Vision and Tensorflow as the machine learning approaches for this project is reasonable. The development of this project used the Rapid Application Development (RAD) model which consists of the requirement planning that required the collection requirements for the project from the users. The user design that needed to build prototype for deciding system design, the construction phases that focus on coding and testing, while lastly the cutover phase that last test will be conducted, and the project will be published. The expected outcome of this project is that the application can conveniently help the people that needed to improve their body posture in a more simple and effective way. In the future, this project is hoped to be enhanced with more features and reliable functionalities that improve the effectiveness of improving human body posture. © 2021 IEEE.

关键词： Computer vision

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OriFeat: Origin of Replication Identification Using DNA Sequence Based Features 7

OriFeat: Origin of Replication Identification Using DNA Sequ...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Promi, Mashiyat Alam Shatabda, Swakkhar United International University Department of Computer Science and Engineering Plot-2 United City Madani Avenue Badda Dhaka1212 Bangladesh

ISBN: (纸本)9781665414074

In the genome of every species, there exists an origin, known as the origin of replication (ORI), from where the genome starts to replicate itself during the process of cell division. Finding out this origin is very important as this is the main responsible key-factor for DNA replication. In this paper, we propose a novel approach, OriFeat to predict the origin of replication. OriFeat uses a set of inexpensive features that are generated from sequences only and an effective feature selection method. The selected features are then trained by using a logistic regression classifier. We perform our experiments with a benchmark dataset of a yeast named Saccharomyces cerevisiae, and achieve 98.15%of accuracy with 10-fold cross validation. We also show a comparative study using a large number of classifiers. OriFeat significantly outperforms state-of-the-art methods. © 2021 IEEE.

关键词： DNA sequences

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Internet of Things (IoT) Based Door Lock Security System 7

Internet of Things (IoT) Based Door Lock Security System

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Rhunn, Tommy Cha Hweay Raffei, Anis Farihan Mat Rahman, Nur Shamsiah Abdul Universiti Malaysia Pahang Multimedia Computing Computer Vision Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia Universiti Malaysia Pahang Information Systems Faculty of Computing College of Computing and Applied Sciences Pekan26600 Malaysia

ISBN: (纸本)9781665414074

A door enables you to enter a room without breaking through a wall. Also, a door enables you for privacy, environmental or security reasons. The problem statement which is the biometric system sometimes is sensitive and will not be able to sense the biological pattern of the employer's fingerprint due to sweat and other factors. Next, people tend to misplace their key or RFID card. Apart from that, people tend to forget their pin number for a door lock. The objective of this paper is to present a secret knock intensity for door lock security system using Arduino and mobile. This project works by using a knock intensity and send the information to mobile application via wireless network to unlock or lock the door. © 2021 IEEE.

关键词： Internet of things

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Web Page Classification Using Convolutional Neural Network (CNN) towards Eliminating Internet Addiction 7

Web Page Classification Using Convolutional Neural Network (...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Apandi, Siti Hawa Sallim, Jamaludin Mohamed, Rozlina Madbouly, Araby Faculty of Computing College of Computing and Applied Sciences Universiti Malaysia Pahang Pahang Pekan Malaysia Muscat College Department of Business and Accounting Muscat Oman

ISBN: (纸本)9781665414074

In the modern world, everyone has access to the internet as a source of information by surfing the web pages. The most popular web page surf is on Game and Online Video Streaming. Users who are spending too much time on these kinds of web pages may lead to a negative impact on Internet addiction. To overcome the internet addiction problem, access to Game and Online Video Streaming web pages needs to be restricted. Thus, a mechanism that can classify the category of the incoming web page based on the web page content is needed. This paper is proposing a web page classification model using a Convolutional Neural Network (CNN) to classify the web page, then identify whether it is a Game or Online Video Streaming based on the pattern of words in the word cloud image taken from the web page text content. The proposed web page classification model has achieved 82.22 % accuracy to detect the pre-classifled web pages. © 2021 IEEE.

关键词： Convolutional neural networks

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Thermoelectric cooler identification based on continuous-time Hammerstein model using metaheuristics algorithm 7

Thermoelectric cooler identification based on continuous-tim...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Jui, Julakha Jahan Ashraf Ahmad, Mohd Mohamed Ali, Mohamed Sultan Anwar Zawawi, Mohd Mat Jusof, Mohd Falfazli Pahang Pekan26600 Malaysia Johor Johor Bahru81310 Malaysia

ISBN: (纸本)9781665414074

This paper presents the identification of the Thermoelectric Cooler (TEC) plant using a novel metaheuristic called hybrid Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based continuous-time Hammerstein model. In the identification, a continuous-time linear system is used, which is more suitable for representing any real plant. The hMVOSCA algorithm is used to reduce the gap between estimated and actual output by identifying the coefficients of both the linear and the nonlinear Hammerstein model subsystems. Efficiency of the hMVOSCA algorithm also evaluated based on the convergence curve, bode plot of the linear subsystem, function plot of the nonlinear subsystem, and statistical performance value. The results demonstrate that the proposed hMVOSCA algorithm can produce the Hammerstein model that generates an estimated output like the actual TEC output. Moreover, the identified outputs also show that the hMVOSCA algorithm outperforms the conventional metaheuristic algorithms such as MVO and SCA by balancing exploration and exploitation and low searching capability. © 2021 IEEE.

关键词： Optimization

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Effects of Eye Health among Youngster while Playing Computer Game 7

Effects of Eye Health among Youngster while Playing Computer...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Akmal Ab Razak, Nurul Saidatul Mokhtar, Rahmah Faculty of Computing College of Computing and Applied Sciences Universiti Malaysia Pahang Pekan26600 Malaysia

ISBN: (纸本)9781665414074

Computer games have become popular among youngsters for entertainment and education nowadays. Due to this situation, the youngster faces a problem that can lead to eye health problems such as eye fatigue, eye strain, redness of the eye and dry eye. This paper aims to find the relationship between eye blinking and eye health for the youngster while playing computer games. A survey has been done on 232 parents to find out their worriedness about their youngster's eye health. The result shows that 99% of parents worry about their youngster's eye health and 89% agree that prolonged computer usage can lead to eye health issues. Also, an experiment on ten youngsters has been done based on eye blinking to find the relationship between eye blinking and eye health. Experiments show a 95% confidence interval, indicating a relationship between eye blinking and eye health, where less eye blinking can harm the eye. Therefore, the guideline of games should be implemented in the future. © 2021 IEEE.

关键词： Computer games

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SonoNet: Despeckling of Medical Ultrasound Scans Using Convolutional Neural Network Architecture 7

SonoNet: Despeckling of Medical Ultrasound Scans Using Convo...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Singh, Prema New Zealand

ISBN: (纸本)9781665414074

This paper proposes a deep learning framework using convolutional neural networks (CNNs), for the despeckling in ultrasound scans. The SonoNet model proposed in this paper consists of seven layers deep net along with activation function and batch normalization. Training of the network is carried out by utilizing synthetically modeled ultrasound frames with varying speckle content. The network uses the assumption of multiplicative noise to adopt a division approach for filtering speckle content from input frames. Finally, edge features are extracted using the Canny operator and enhanced using a twodimensional 3×3 convolutional mask. Thus, the proposed CNN method effectively accomplishes speckle elimination and visual feature preservation without inducing much blurring effects. The subjective evaluation by four subject matter experts and experimental analysis using three image quality metrics indicate that the proposed system gives a superior performance as compared to the state-of-the-art methods in the field, and therefore could find applications designed for speckle suppression in ultrasound imaging systems and real-time ultrasound video segmentation and classification algorithms. © 2021 IEEE.

关键词： Speckle

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Prediction Using A Neural Network Algorithm Approach (A Review) 7

Prediction Using A Neural Network Algorithm Approach (A Revi...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Harumy, T. H. F Zarlis, M. Effendi, S. Lidya, M. S Universitas Sumatera Utara Faculty of Computer Sciences Medan Indonesia

ISBN: (纸本)9781665414074

Artificial Intelligence Neural Networks are one of the techniques used for prediction. This ANN is rapidly evolving. At the moment, neural networks are implementing used a variety of techniques. The challenge is the outcome's effectiveness and accuracy, defined by the method, parameters, dataset, and models implemented. Unfortunately, determining how many layers to use, how many filters to employ, and so on might require an extended period. Thus, analysis and review of existing approaches are required to compare many ways that have been utilized and attempt to offer an analysis of the best methods that may be employed, particularly for time series data. The analytical approach employed is one of comparison, in which one technique is comparing to another. The analysis intends to serve as a starting point for further research into ways to improve the performance of prediction algorithms in existing systems, particularly for data derived from regression analysis. © 2021 IEEE.

关键词： Forecasting

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Mobile Health Monitoring and Treatment System for COVID-19 Symptoms Identification 7

Mobile Health Monitoring and Treatment System for COVID-19 S...

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7th International Conference on Software engineering and Computer systems and 4th International Conference on Computational Science and information management, ICSECS-ICOCSIM 2021

作者： Xien, Wong Yue Radzuan, Nabilah Filzah Mohd Rani, Mohd Norshahriel Abd Faculty of Information Technology Nilai Negeri Sembilan Malaysia Universiti Malaysia Pahang Information System Research Group Faculty of Information Technology Pahang Pekan Malaysia

ISBN: (纸本)9781665414074

Due to the current issue of COVID-19 virus, it is unadvisable to consult with a doctor at medical facilities such as clinics and hospitals unless the situation is really dire. This is because medical facilities are the most likely environment to be contracted with the virus. Hence, people are forced to undertake drastic measures by turning to the internet for solutions regarding their situation. People often misdiagnose themselves as they tend to opt for the dangerous and extreme results due to fear and paranoia. The purpose of this study is to develop a friendly mobile application which can help the user to identify their health status based on the inputs that they have keyed in such as symptoms, days passed with the symptoms, etc. Using the testimony given by the user, the system will then announce if they are safe from the COVID-19 virus or not. Additionally, it will also provide some effective medical advices in tackling the issue at hand. With the aid of this application, users would not need to consult with doctors to help diagnose themselves in order to determine the probability of being infected, and could quickly pop in to the pharmacy and make a quick purchase of medicine(s) if their current health condition is not dire. Though, it is still recommended for citizens to do a check-up at the medical facilities if the disease afflicted is severe. Besides, this mobile application would be accessible at all times as it does not require the connectivity to the internet to function. Therefore, enabling the user in avoiding the worst-case scenario from unprofessional self-diagnostic. © 2021 IEEE.

关键词： Viruses

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