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Recommending Public Transit Route: Ant-Colony Optimization or Dijkstra?

Recommending Public Transit Route: Ant-Colony Optimization o...

2023 International Conference on Modeling and E-Information Research, Artificial Learning and Digital Applications, ICMERALDA 2023

作者： Jabbar, Abdul Pinandito, Aryo Universitas Brawijaya Faculty of Computer Science Informatics Engineering Department Malang Indonesia Universitas Brawijaya Faculty of Computer Science Information System Department Malang Indonesia

ISBN: (纸本)9798350369359

Advances in algorithmic studies have been made recently, especially in the area of finding the shortest path. Despite taking a greedy approach, the Dijkstra algorithm is well recognized for its efficacy and has established itself as the industry standard for identifying the shortest path in a graph. Conversely, scientists have embraced the Ant-Colony Optimization (ACO) approach, which draws inspiration from the behavior of ants. This study examines the two methods and determines if, given equivalent resources, ACO can generate Dijkstra-like recommendations. Research data is subjected to both algorithms, and the outcomes are presented visually. In data measurement, Dijkstra is processed first to determine the best path, and then the ACO method is applied to produce findings that are similar to Dijkstra. In data measurement, Dijkstra is processed first to determine the best path, and then the ACO method is applied to produce findings that are similar to Dijkstra. Memory consumption, computation time, initial memory allocation, and final memory allocation are evaluation parameters. ACO is more efficient than Dijkstra in terms of execution time and number of pathways traversed, according to the study's repeated evaluation methodology. This iterative assessment procedure is carried out to address the possibility of single measurements resulting from the JavaScript Garbage Collector. The study's findings imply that a larger memory may be necessary for ACO to deliver the desired outcomes. These results could also be impacted by each algorithm's distinct qualities. © 2023 IEEE.

关键词： Ant colony optimization

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A new segmentation on skew document

A new segmentation on skew document

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13th World Multi-Conference on systemics, Cybernetics and Informatics, WMSCI 2009, Jointly with the 15th International Conference on Information systems Analysis and Synthesis, ISAS 2009

作者： Fei, Xiaolei Dong, Mingchui Faculty of Science and Technology University of Macau China Institute of System and Computer Engineering of Macau China

ISBN: (纸本)1934272620

Severe image skewness, which is inevitable in text image acquiring, increases difficulties in image segmentation and decreases character recognition accuracy. In this paper, an improved skew angle estimation technique is presented. In addition, a novel technique of detecting and extracting text from camera-captured images is proposed to solve the following major obstacles in realizing the visual translation: low resolution, various brightness or grayscale, and perspective distortion, and moreover, involuted layouts and interaction of content mixed with the colorful background. As a result, the higher accuracy of camera-based visual translation is witnessed from the obtained testing results.

关键词： Character recognition

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Iterative process to improve simple adaptive subdivision surfaces method with butterfly scheme

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World Academy of science, engineering and Technology 2011年第79期79卷 622-626页

作者： Husain, Noor Asma Rahim, Mohd Shafry Mohd Bade, Abdullah Department of Computer Graphics and Multimedia Faculty of Computer Science and Information System University of Technology Malaysia 81310 Skudai Johor Malaysia School of Engineering and Information System University of Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia

Subdivision surfaces were applied to the entire meshes in order to produce smooth surfaces refinement from coarse mesh. Several schemes had been introduced in this area to provide a set of rules to converge smooth surfaces. However, to compute and render all the vertices are really inconvenient in terms of memory consumption and runtime during the subdivision process. It will lead to a heavy computational load especially at a higher level of subdivision. Adaptive subdivision is a method that subdivides only at certain areas of the meshes while the rest were maintained less polygons. Although adaptive subdivision occurs at the selected areas, the quality of produced surfaces which is their smoothness can be preserved similar as well as regular subdivision. Nevertheless, adaptive subdivision process burdened from two causes;calculations need to be done to define areas that are required to be subdivided and to remove cracks created from the subdivision depth difference between the selected and unselected areas. Unfortunately, the result of adaptive subdivision when it reaches to the higher level of subdivision, it still brings the problem with memory consumption. This research brings to iterative process of adaptive subdivision to improve the previous adaptive method that will reduce memory consumption applied on triangular mesh. The result of this iterative process was acceptable better in memory and appearance in order to produce fewer polygons while it preserves smooth surfaces.

关键词： Cracks

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Protecting IP Multimedia Subsystem (IMS) service delivery platform from time independent attacks

Protecting IP Multimedia Subsystem (IMS) service delivery pl...

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3rd Internationl Symposium on Information Assurance and Security, IAS 2007

作者： Sher, Muhammad Magedanz, Thomas Faculty of Electrical Engineering and Computer Science Institute for Telecommunication System Technical University Berlin Germany

ISBN: (纸本)0769528767

With the emergence of mobile multimedia services, such as unified messaging, click to dial, cross network multiparty conferencing and seamless multimedia streaming services, the fixed-mobile convergence and voice-data integration has started, leading to an overall Internet-Telecommunications merger. The IP Multimedia Subsystem (IMS) is considered as the next generation service delivery platform in this converge communication world. It consists of modular design with open interfaces and enables the flexibility for providing multimedia services over IP technology. At parallel this open based emerging technology has security challenges from multiple communication platforms like IP, SIP and RTP. In this article our objective is to develop security model to protect IMS Service Delivery Platform (SDP) from different time independent attacks e.g. SQL injection and media flow attacks. These attacks ultimately downfall the value added services. At the end we shall present the performance results at Fokus Fraunhofer Testbed to see the proposed solution for real world applications. © 2007 IEEE.

关键词： Multimedia services

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Comparative evaluation of change propagation approaches towards resilient software evolution

Comparative evaluation of change propagation approaches towa...

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3rd International Conference on Software engineering Advances, ICSEA 2008

作者： Ibrahim, Noraini Kadir, Wan M. Nasir Wan Deris, Safaai Software Engineering Dept. Faculty of Computer Science and Information System Universiti Teknologi Malaysia

ISBN: (纸本)9780769533728

Producing software that is adaptable to the rapid environmental changes and the dynamic nature of the business life-cycle is extensively becoming a topical issue in the software evolution. In this context, change propagation (CP) process is one of the critical parts in the software change management. Traditional strategies have projected more complex ways, resulting to substantial failures and risks. This paper presents an investigation and highlights on the desired criteria to provide better means to simplify the complicated CP tasks. The evaluation results may be used as a foundation in improving CP approaches that provide significant challenges in software evolution. ©2008 IEEE.

关键词： Life cycle

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Mobile IPV6 wireless test-bed experience

Mobile IPV6 wireless test-bed experience

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2005 13th IEEE International Conference on Networks jointly held with the 2005 7th IEEE Malaysia International Conference on Communications

作者： Yong, Chu Eu Khatun, Sabira Ali, Borhanuddin Mohd Othman, Mohamed Department of Computer and Communication System Engineering Faculty of Engineering Universiti Putra Malaysia Department of Communication Technology and Network Faculty of Science Computer Universiti Putra Malaysia

ISBN: (纸本)1424400007

Mobility support for Internet devices is very important, since mobile computing is getting more widespread. Since these devices are wireless and therefore mobile, they will derive great benefit form Mobile IPv6. Mobile IPv6 was designed to be a natural outgrowth of Mobile IPv4, just as IPv6 itself was designed to be a natural outgrowth of IPv4. A wireless test-bed was setup to see the performance of the handover. The wireless test-bed consists of hardware, software and network analyzes tools to monitor the handover operation. The hardware consists of a multicast router, 2 access point, home agent, mobile node. We analyzed packet loss, packet delay and handover delay in Mobile IPv6 wireless test-bed. Finally, it is concluded the average packet delay is 0.7s, the handover delay for the first handover (macro-mobility) is 4.4s (44 packet loss) and 4.2s (42 packet loss) during the second handover (micro-mobility). The behavior and performance of Mobile IPv6 scheme can be seen. © 2005 IEEE.

关键词： Wireless telecommunication systems

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Performance Analysis of Higher Order Tensor Storages for Highly Sparse Multidimensional Data 5

Performance Analysis of Higher Order Tensor Storages for Hig...

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5th International Conference on Electrical Information and Communication Technology, EICT 2021

作者： Safayet Hossain, Md. Azharul Hasan, K.M. Tsuji, Tatsuo Department of Computer Science and Engineering Khulna Bangladesh University of Fukui Faculty of System Design Engineering Fukui Japan

ISBN: (纸本)9781665409063

To compute multidimensional data, tensor algebra is a powerful tool and it has many applications in machine learning and data analytics. This multidimensional data which is represented with higher-order tensors for multi-Aspect data analysis is very sparse for an actual dataset. The degree of data sparsity increases with the increase of dimensionality. This is because the volume of the tensor increases very fast with the increase of dimensionality but the actual data to the tensor does not increase at such a rate for high-performance scientific computing. Storing and applying operations on this highly sparse multidimensional data is a challenge for data scientists. Therefore, an efficient storage scheme for such sparse tensor is very important. There are many storage schemes in the literature for storing sparse tensors. In this paper, we analyze and compare different tensor storage formats using synthetic and actual datasets. We found that no single storage scheme is efficient for all the operations or applications of tensors. We calculated the memory required for per-nonzero elements among these tensor formats and compared them for different parameters. © 2021 IEEE.

关键词： Tensors

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Handover Schemes for Vehicular Ad-Hoc Networks over Long Term Evolution Advanced: A Survey

Handover Schemes for Vehicular Ad-Hoc Networks over Long Ter...

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2018 International Conference on Computational Approach in Smart systems Design and Applications, ICASSDA 2018

作者： Salihin, Siti Sabariah Nissirat, Liyth A. Noor, Rafidah Md Ahmedy, Ismail Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Computer Engineering Faculty of Computer and Communication Engineering University of Jadara Jordan

ISBN: (纸本)9781538683699

Next generation Vehicular Ad Hoc Network (VANET) needs seamless connectivity with high level of quality of services (QoS) and high data rates services. The complexity of VANET raises concern about the QoS and the reliability of the communication handover which refer to the connectivity and operation of conveying an ongoing call or data session between Vehicles to Vehicles (V2V) and Vehicles to Infrastructure (V2I) in VANET communication mode. This communication faces a huge challenge. The vehicles are moving so fast and highly dynamic that may cause frequent handover which may cause signal delay and communication loss. This paper provides an up-to-date literature of handover schemes for VANET over LTE-A wireless network. A discussion on thumbnail of the key decision parameters to be used in the handover algorithm and comparative summary of selected scheme for VANET over LTE-A concludes this work. This study, thus contributes to the understanding of the available options and gaps for further studies and standardization activities to this area of research. © 2018 IEEE.

关键词： Surveys

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A Novel Convolutional-Transformer Neural Network Architecture for Diagnosis of Pneumothorax 28

A Novel Convolutional-Transformer Neural Network Architectur...

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28th International computer Conference, computer Society of Iran, CSICC 2023

作者： Sanati, Amir Dashtestani, Mansoureh A. Rostami, Habib Azad, Saeed Talatian Persian Gulf University Faculty of Intelligent System Engineering and Data Science Computer Engineering Department Bushehr Iran

ISBN: (纸本)9798350338195

Pneumothorax is a life-threatening and urgent chest disease than can be detected using Chest X-Ray (CXR) image. CXR images are low resolution and diagnosis of pneumothorax based on them is error prone. Deep learning-based computer aided diagnosis systems can improve diagnosis performance of pneumothorax. Convolutional Neural Networks (CNNs) are default networks in deep learning-based medical image process. However, CNNs fail to capture long range features. On the other side, Transformer are proposed to exploit long range feature, but they cannot capture local features. In this paper, we propose a general method with a convolution and a transformer module which can classify CXR images to diagnose pneumothorax by extracting local features, global features and global features attended by local ones using a novel architecture. Results show that the proposed method outperforms base architectures and the other previous works. © 2023 IEEE.

关键词： Convolutional neural networks

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Visualizing the Construction of Incremental Disorder Trie Itemset Data Structure (DOSTrieIT) for Frequent Pattern Tree (FP-Tree)

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2nd International Visual Informatics Conference

作者： Abdullah, Zailani Herawan, Tutut Deris, Mustafa Mat Department of Computer Science Universiti Malaysia Terengganu Malaysia Faculty of Computer System and Software Engineering Universiti Malaysia Pahang Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Malaysia

ISBN: (纸本)9783642251900;9783642251917

In data mining, visual representation can help in enhancing the ability of analyzing and understanding the techniques, patterns and their integration. Recently, there are varieties of visualizers have been proposed in marketplace and knowledge discovery communities. However, the detail visualization processes for constructing any incremental tree data structure from its original dataset are rarely presented. Essentially, graphic illustrations of the complex processes are easier to be understood as compared to the complex computer pseudocode. Therefore, this paper explains the visualization process of constructing our incremental Disorder Support Trie Itemset (DOSTrieIT) data structure from the flat-file dataset. DOSTrieIT can be used later as a compressed source of information for building Frequent Pattern Tree (FP-Tree). To ensure understandability, an appropriate dataset and its processes are graphically presented and details explained.

关键词： Visual Representation Data Structure Data Mining Visual Informatics

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