Infocommunications Journal最新文献_第9页

Categorization and geovisualization of climate change strategies using an open-access WebGIS tool 使用开放访问的WebGIS工具对气候变化策略进行分类和地理可视化

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.1.5

Emőke Kiss, Marianna Zichar, I. Fazekas, G. Karancsi, Dániel Balla

引用次数: 6

Adapting IT Algorithms and Protocols to an Intelligent Urban Traffic Control 将IT算法和协议应用于智能城市交通控制

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.2.8

Levente Alekszejenkó, T. Dobrowiecki

{"title":"Adapting IT Algorithms and Protocols to an Intelligent Urban Traffic Control","authors":"Levente Alekszejenkó, T. Dobrowiecki","doi":"10.36244/icj.2020.2.8","DOIUrl":"https://doi.org/10.36244/icj.2020.2.8","url":null,"abstract":"Autonomous vehicles, communicating with each other and with the urban infrastructure as well, open opportunity to introduce new, complex and effective behaviours to the intelligent traffic systems. Such systems can be perceived quite naturally as hierarchically built intelligent multi-agent systems, with the decision making based upon well-defined and profoundly tested mathematical algorithms, borrowed e.g. from the field of information technology. In this article, two examples of how to adapt such algorithms to the intelligent urban traffic are presented. Since the optimal and fair timing of the traffic lights is crucial in the traffic control, we show how a simple Round-Robin scheduler and Minimal Destination Distance First scheduling (adaptation of the theoretically optimal Shortest Job First scheduler) were implemented and tested for traffic light control. Another example is the mitigation of the congested traffic using the analogy of the Explicit Congestion Notification (ECN) protocol of the computer networks. We show that the optimal scheduling based traffic light control can handle roughly the same complexity of the traffic as the traditional light programs in the nominal case. However, in extraordinary and especially fastly evolving situations, the intelligent solutions can clearly outperform the traditional ones. The ECN based method can successfully limit the traffic flowing through bounded areas. That way the number of passing-through vehicles in e.g. residential areas may be reduced, making them more comfortable congestion-free zones in a city.","PeriodicalId":42504,"journal":{"name":"Infocommunications Journal","volume":"13 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79848197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Supporting Digital Supply Chains by IoT Frameworks: Collaboration, Control, Combination 通过物联网框架支持数字供应链:协作、控制、组合

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/ICJ.2020.4.4

Dániel Kozma, P. Varga

引用次数: 8

Comparison of Non-Linear Filtering Methods for Positron Emission Tomography 正电子发射层析成像非线性滤波方法的比较

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.2.9

Dóra Varnyú, László Szirmay-Kalos

引用次数: 0

Noise reduction for digital communications – A modified Costas loop 数字通信降噪。改进的科斯塔斯环路

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/ICJ.2020.4.1

Janos Ladvanszky

引用次数: 1

De-anonymizing Facial Recognition Embeddings 去匿名化面部识别嵌入

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.2.7

István Fábián, G. Gulyás

引用次数: 4

Location, Proximity, Affinity – The key factors in FaaS 位置、邻近性、亲和性——FaaS的关键因素

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/ICJ.2020.4.3

Dávid Haja, Z. Turányi, László Toka

引用次数: 4

GrAMeFFSI: Graph Analysis Based Message Format and Field Semantics Inference For Binary Protocols, Using Recorded Network Traffic 基于图形分析的消息格式和字段语义推理的二进制协议，使用记录的网络流量

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.2.4

Gergő Ládi, L. Buttyán, T. Holczer

{"title":"GrAMeFFSI: Graph Analysis Based Message Format and Field Semantics Inference For Binary Protocols, Using Recorded Network Traffic","authors":"Gergő Ládi, L. Buttyán, T. Holczer","doi":"10.36244/icj.2020.2.4","DOIUrl":"https://doi.org/10.36244/icj.2020.2.4","url":null,"abstract":"Protocol specifications describe the interaction between different entities by defining message formats and message processing rules. Having access to such protocol specifications is highly desirable for many tasks, including the analysis of botnets, building honeypots, defining network intrusion detection rules, and fuzz testing protocol implementations. Unfortunately, many protocols of interest are proprietary, and their specifications are not publicly available. Protocol reverse engineering is an approach to reconstruct the specifications of such closed protocols. Protocol reverse engineering can be tedious work if done manually, so prior research focused on automating the reverse engineering process as much as possible. Some approaches rely on access to the protocol implementation, but in many cases, the protocol implementation itself is not available or its license does not permit its use for reverse engineering purposes. Hence, in this paper, we focus on reverse engineering protocol specifications relying solely on recorded network traffic. More specifically, we propose GrAMeFFSI, a method based on graph analysis that can infer protocol message formats as well as certain field semantics for binary protocols from network traces. We demonstrate the usability of our approach by running it on packet captures of two known protocols, Modbus and MQTT, then comparing the inferred specifications to the official specifications of these protocols.","PeriodicalId":42504,"journal":{"name":"Infocommunications Journal","volume":"62 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74399731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Method to Predict Confidential Words in Japanese Judicial Precedents Using Neural Networks With Part-of-Speech Tags 基于词性标签的神经网络预测日本司法判例中机密词的方法

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.1.3

Masakazu Kanazawa, Atsushi Ito, Kazuyuki Yamasawa, Takehiko Kasahara, Yuya Kiryu, Fubito Toyama

{"title":"Method to Predict Confidential Words in Japanese Judicial Precedents Using Neural Networks With Part-of-Speech Tags","authors":"Masakazu Kanazawa, Atsushi Ito, Kazuyuki Yamasawa, Takehiko Kasahara, Yuya Kiryu, Fubito Toyama","doi":"10.36244/icj.2020.1.3","DOIUrl":"https://doi.org/10.36244/icj.2020.1.3","url":null,"abstract":"Abstract—Cognitive Infocommunications involve a combination of informatics and telecommunications. In the future, infocommunication is expected to become more intelligent and life supportive. Privacy is one of the most critical concerns in infocommunications. Encryption is a well-recognized technology that ensures privacy; however, it is not easy to completely hide personal information. One technique to protect privacy is by finding confidential words in a file or a website and changing them into meaningless words. In this paper, we investigate a technology used to hide confidential words taken from judicial precedents. In the Japanese judicial field, details of most precedents are not made available to the public on the Japanese court web pages to protect the persons involved. To ensure privacy, confidential words, such as personal names, are replaced by other meaningless words. This operation takes time and effort because it is done manually. Therefore, it is desirable to automatically predict confidential words. We proposed a method for predicting confidential words in Japanese judicial precedents by using part-of-speech (POS) tagging with neural networks. As a result, we obtained 88% accuracy improvement over a previous model. In this paper, we describe the mechanism of our proposed model and the prediction results using perplexity. Then, we evaluated how our proposed model was useful for the actual precedents by using recall and precision. As a result, our proposed model could detect confidential words in certain Japanese precedents.","PeriodicalId":42504,"journal":{"name":"Infocommunications Journal","volume":"7 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84478276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Performance Analysis of Sparse Matrix Representation in Hierarchical Temporal Memory for Sequence Modeling 稀疏矩阵表示在分层时间记忆序列建模中的性能分析

IF 1.1

Infocommunications Journal Pub Date : 2020-01-01 DOI: 10.36244/icj.2020.2.6

Csongor Pilinszki-Nagy, Bálint Gyires-Tóth

{"title":"Performance Analysis of Sparse Matrix Representation in Hierarchical Temporal Memory for Sequence Modeling","authors":"Csongor Pilinszki-Nagy, Bálint Gyires-Tóth","doi":"10.36244/icj.2020.2.6","DOIUrl":"https://doi.org/10.36244/icj.2020.2.6","url":null,"abstract":"Hierarchical Temporal Memory (HTM) is a special type of artificial neural network (ANN), that differs from the widely used approaches. It is suited to efficiently model sequential data (including time series). The network implements a variable order sequence memory, it is trained by Hebbian learning and all of the network’s activations are binary and sparse. The network consists of four separable units. First, the encoder layer translates the numerical input into sparse binary vectors. The Spatial Pooler performs normalization and models the spatial features of the encoded input. The Temporal Memory is responsible for learning the Spatial Pooler’s normalized output sequence. Finally, the decoder takes the Temporal Memory’s outputs and translates it to the target. The connections in the network are also sparse, which requires prudent design and implementation. In this paper a sparse matrix implementation is elaborated, it is compared to the dense implementation. Furthermore, the HTM’s performance is evaluated in terms of accuracy, speed and memory complexity and compared to the deep neural network-based LSTM (Long Short-Term Memory).","PeriodicalId":42504,"journal":{"name":"Infocommunications Journal","volume":"38 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90396003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3