Pub Date : 2017-11-25DOI: 10.1109/ICSESS.2017.8342864
Sungwon Kang, Younghun Han, Hwi Ahn, Jihyun Lee
In software product line development, the feature model is widely used to model various relationships between features including variability of features. Although it has been widely used for a long period of time, the feature model suffers from various problems including limited expression of variability, weak scalability and a lack of scientific principles. To overcome such problems, the feature model has evolved and many variations of the original FODA feature model have been proposed but those problems have been only partially solved. To address this current situation of research on feature models, this paper analyzes what problems have been identified in the past, which of them have been solved and which of them still remain to be solved in the evolution of the feature model.
{"title":"Critical analysis of feature model evolution","authors":"Sungwon Kang, Younghun Han, Hwi Ahn, Jihyun Lee","doi":"10.1109/ICSESS.2017.8342864","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342864","url":null,"abstract":"In software product line development, the feature model is widely used to model various relationships between features including variability of features. Although it has been widely used for a long period of time, the feature model suffers from various problems including limited expression of variability, weak scalability and a lack of scientific principles. To overcome such problems, the feature model has evolved and many variations of the original FODA feature model have been proposed but those problems have been only partially solved. To address this current situation of research on feature models, this paper analyzes what problems have been identified in the past, which of them have been solved and which of them still remain to be solved in the evolution of the feature model.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116676803","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8342881
Omar Tariq, Jun Sang, Kanza Gulzar, Hong Xiang
The UML behavioral models are used in understanding and communicating the problem domain concepts, during the requirement analysis phase of system development. The absence of formal semantics for UML behavioral models makes it difficult to build automated tools for their analysis, simulation and validation. These semantics should be well defined based on a formal language that yields the fundamental requirements for a rigorous validation of the specification models. In this paper, an approach is proposed for formal analysis and simulation of the UML behavioral models. Initially, we define UML activity diagram semantics. These semantics are translated into a Coloured Petri Nets (CPN). Hence, In order to allow a more concrete model behavior analysis, we coined the mapping rules from the specification models composed of objects and events. The results of analysis are in the form of a CPN-Tools report by means of state space analysis or model checking, to illustrate the proposed methodology we used a case study.
{"title":"Automated analysis of UML activity diagram using CPNs","authors":"Omar Tariq, Jun Sang, Kanza Gulzar, Hong Xiang","doi":"10.1109/ICSESS.2017.8342881","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342881","url":null,"abstract":"The UML behavioral models are used in understanding and communicating the problem domain concepts, during the requirement analysis phase of system development. The absence of formal semantics for UML behavioral models makes it difficult to build automated tools for their analysis, simulation and validation. These semantics should be well defined based on a formal language that yields the fundamental requirements for a rigorous validation of the specification models. In this paper, an approach is proposed for formal analysis and simulation of the UML behavioral models. Initially, we define UML activity diagram semantics. These semantics are translated into a Coloured Petri Nets (CPN). Hence, In order to allow a more concrete model behavior analysis, we coined the mapping rules from the specification models composed of objects and events. The results of analysis are in the form of a CPN-Tools report by means of state space analysis or model checking, to illustrate the proposed methodology we used a case study.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124465615","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8343019
Meiyu Chen, Xiangdong You
Machine learning is one of today's most rapidly growing technical fields[1]. The widespread commercial use of machine learning has inspired more and more intellectuals to study it. In order to help learners to study machine learning much easier, the machine learning management platform was developed. This platform was designed to help them in many ways, for example, the data-set management module was designed to speed up the data collecting and preconditioning process, the study logs management module can assist them to make correct decisions to optimize the model, and it also provides users a convenient way of interaction and cooperation. This paper mainly describes the services provided by the platform and the technologies used to build this platform.
{"title":"The machine learning management platform","authors":"Meiyu Chen, Xiangdong You","doi":"10.1109/ICSESS.2017.8343019","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343019","url":null,"abstract":"Machine learning is one of today's most rapidly growing technical fields[1]. The widespread commercial use of machine learning has inspired more and more intellectuals to study it. In order to help learners to study machine learning much easier, the machine learning management platform was developed. This platform was designed to help them in many ways, for example, the data-set management module was designed to speed up the data collecting and preconditioning process, the study logs management module can assist them to make correct decisions to optimize the model, and it also provides users a convenient way of interaction and cooperation. This paper mainly describes the services provided by the platform and the technologies used to build this platform.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114653078","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8342852
Huishi Yin, Dietmar Pfahl
Background: Since 2003, when the concept of open innovation (OI) was introduced, OI has been applied in many industrial fields. Previous research indicates that the use of OI in computer science is less diverse than in other fields. Especially, the role of OI in software requirements engineering (RE) seems to be little explored. Goals: This study aimed to summarize the body of knowledge about the use of OI in the field of RE. More specifically, we analyzed what uses of OI in the context of RE have been reported and how OI has contributed to individual steps of the RE process. Method: We conduct a mapping study on the literature provided in four scientific databases (ISI Web of Science, IEEE Xplore, ACM Digital Library, and Science Direct). Results: We identified 20 relevant papers. We found: 1) 20 primary studies from the period 2003–2016 report on results about applying OI in RE. 2) Half of the studies report on the application of OI on RE as a whole. 3) Only one paper each is related to requirement prioritization and validation. 4) None of the primary studies presents a proprietary tool support for OI in RE. Only one study presents a method for automatic requirements extraction in OSS projects which can be implemented using standard machine learning tools. Conclusions: Acknowledging the lack of published research on the use of OI strategies in specific RE activities, i.e., prioritization and validation, as well as the lack of reported tool support, we see new opportunities for research on automated and thus non-intrusive and low-cost methods for applying OI strategies in RE.
背景:自2003年开放式创新(open innovation, OI)概念被提出以来，开放式创新在许多工业领域得到了应用。先前的研究表明，计算机科学中OI的使用不如其他领域多样化。特别是，OI在软件需求工程(RE)中的作用似乎很少被探索。目的:本研究旨在总结有关成骨不全在可再生医学领域应用的知识体系。更具体地说，我们分析了在可再生医学背景下的成骨不全有哪些应用，以及成骨不全如何促进可再生医学过程的各个步骤。方法:我们对四个科学数据库(ISI Web of Science、IEEE Xplore、ACM Digital Library和Science Direct)提供的文献进行制图研究。结果:检索到相关文献20篇。我们发现:1)2003-2016年期间关于在RE中应用OI的结果报告的20项主要研究。2)一半的研究报告了OI在RE中的整体应用。3)只有一篇论文与需求优先级和验证相关。4)没有一项主要的研究提出了在可再生能源中支持OI的专有工具。只有一项研究提出了在OSS项目中自动提取需求的方法，该方法可以使用标准的机器学习工具来实现。结论:承认缺乏关于在特定的RE活动中使用OI策略的公开研究，即优先级和验证，以及缺乏报告的工具支持，我们看到了在RE中应用OI策略的自动化、非侵入性和低成本方法研究的新机会。
{"title":"Open innovation in software requirements engineering: A mapping study","authors":"Huishi Yin, Dietmar Pfahl","doi":"10.1109/ICSESS.2017.8342852","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342852","url":null,"abstract":"Background: Since 2003, when the concept of open innovation (OI) was introduced, OI has been applied in many industrial fields. Previous research indicates that the use of OI in computer science is less diverse than in other fields. Especially, the role of OI in software requirements engineering (RE) seems to be little explored. Goals: This study aimed to summarize the body of knowledge about the use of OI in the field of RE. More specifically, we analyzed what uses of OI in the context of RE have been reported and how OI has contributed to individual steps of the RE process. Method: We conduct a mapping study on the literature provided in four scientific databases (ISI Web of Science, IEEE Xplore, ACM Digital Library, and Science Direct). Results: We identified 20 relevant papers. We found: 1) 20 primary studies from the period 2003–2016 report on results about applying OI in RE. 2) Half of the studies report on the application of OI on RE as a whole. 3) Only one paper each is related to requirement prioritization and validation. 4) None of the primary studies presents a proprietary tool support for OI in RE. Only one study presents a method for automatic requirements extraction in OSS projects which can be implemented using standard machine learning tools. Conclusions: Acknowledging the lack of published research on the use of OI strategies in specific RE activities, i.e., prioritization and validation, as well as the lack of reported tool support, we see new opportunities for research on automated and thus non-intrusive and low-cost methods for applying OI strategies in RE.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117117046","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8342963
Yingtao Wang, Xiaojun Huang
In the Chinese natural language processing, this paper proposes a hierarchical semantic learning model based on the neural network model for the semantic understanding of the counseling question. The attention mechanism is used to integrate the factual part of the original problem into the core question part and it can enrich the final representation of the semantic information and highlight the main features. Experiments show that the hierarchical learning structure can extract the structural features of the counseling question well, and contains more semantic information than the traditional structure which directly learns the problem, so that the final vector has higher similarity in the space.
{"title":"A hierarchical semantic extraction model for Chinese counseling question based on neural networks","authors":"Yingtao Wang, Xiaojun Huang","doi":"10.1109/ICSESS.2017.8342963","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342963","url":null,"abstract":"In the Chinese natural language processing, this paper proposes a hierarchical semantic learning model based on the neural network model for the semantic understanding of the counseling question. The attention mechanism is used to integrate the factual part of the original problem into the core question part and it can enrich the final representation of the semantic information and highlight the main features. Experiments show that the hierarchical learning structure can extract the structural features of the counseling question well, and contains more semantic information than the traditional structure which directly learns the problem, so that the final vector has higher similarity in the space.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123742819","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8342929
Runlong Liu, Yang Deng, Zhi Liu
Model-based design is now the developing trend of the embedded system software design. Modeling embedded system and generating code automatically are the key technologies of model-based design. In this paper, AADL is used to modeling a aircraft control system's architecture, Stateflow is used to modeling the system's functions, and RTW tool is used to generate C code automatically from Stateflow model. Through the integration of manual program and auto-generated code, the aircraft control system software are partly designed. The research indicates that AADL associated with Stateflow can be used to modeling the embedded system's architecture and logic functions conveniently, and generate code automatically, so they can both be applied to the embedded system software design.
{"title":"The applied research on AADL and stateflow model in embedded system software design","authors":"Runlong Liu, Yang Deng, Zhi Liu","doi":"10.1109/ICSESS.2017.8342929","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342929","url":null,"abstract":"Model-based design is now the developing trend of the embedded system software design. Modeling embedded system and generating code automatically are the key technologies of model-based design. In this paper, AADL is used to modeling a aircraft control system's architecture, Stateflow is used to modeling the system's functions, and RTW tool is used to generate C code automatically from Stateflow model. Through the integration of manual program and auto-generated code, the aircraft control system software are partly designed. The research indicates that AADL associated with Stateflow can be used to modeling the embedded system's architecture and logic functions conveniently, and generate code automatically, so they can both be applied to the embedded system software design.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125402826","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8343053
Yan Guo, Qian Wang
In view of the most of the research focuses on using a single model to forecast the network workload, ignoring other factors effect on the internal network resources, lead to large amount of data implied information loss, often difficult to obtain accurate results. This paper proposes two hybrid model prediction methods. The hybrid model takes advantage of ARIMA model, Kalman filter model and BP neural network model, and combines the ARIMA model with Kalman filter and BP neural network. Experimental results show that with a single time series prediction method of integral (autoregressive moving average model, BP neural network and kalman filtering), compared two methods of hybrid model has higher prediction accuracy, effectively improve the utilization rate of resources, effectively improve the efficiency of the on-demand scheduling of virtual machine resources.
{"title":"Research on network workload resource prediction based on hybrid model","authors":"Yan Guo, Qian Wang","doi":"10.1109/ICSESS.2017.8343053","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343053","url":null,"abstract":"In view of the most of the research focuses on using a single model to forecast the network workload, ignoring other factors effect on the internal network resources, lead to large amount of data implied information loss, often difficult to obtain accurate results. This paper proposes two hybrid model prediction methods. The hybrid model takes advantage of ARIMA model, Kalman filter model and BP neural network model, and combines the ARIMA model with Kalman filter and BP neural network. Experimental results show that with a single time series prediction method of integral (autoregressive moving average model, BP neural network and kalman filtering), compared two methods of hybrid model has higher prediction accuracy, effectively improve the utilization rate of resources, effectively improve the efficiency of the on-demand scheduling of virtual machine resources.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125573656","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8343049
Keyang Cai, Hong Wang
Cloud classification of satellite image is the basis of meteorological forecast. Traditional machine learning methods need to manually design and extract a large number of image features, while the utilization of satellite image features is not high. This paper constructs a convolution neural network for cloud classification, which can automatically learn features and obtain classification results. The experimental results on the FY-2C satellite image show that the features extracted by deep convolution neural network are more favorable to the classification of satellite cloud. The performance of cloud classification based on deep convolution neural network is better than that of traditional machine learning methods. The method has high precision and good robustness.
{"title":"Cloud classification of satellite image based on convolutional neural networks","authors":"Keyang Cai, Hong Wang","doi":"10.1109/ICSESS.2017.8343049","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343049","url":null,"abstract":"Cloud classification of satellite image is the basis of meteorological forecast. Traditional machine learning methods need to manually design and extract a large number of image features, while the utilization of satellite image features is not high. This paper constructs a convolution neural network for cloud classification, which can automatically learn features and obtain classification results. The experimental results on the FY-2C satellite image show that the features extracted by deep convolution neural network are more favorable to the classification of satellite cloud. The performance of cloud classification based on deep convolution neural network is better than that of traditional machine learning methods. The method has high precision and good robustness.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115038459","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8343023
Jiuqiang Fu, B. Jiang, Namgyu Kang
Microwaves are indispensable part in the modern kitchen. In the transforming of traditional kitchen to be smart, microwaves are beginning to combine internet with mobile phone APP. This kind of information interconnection changes the control interface of traditional microwaves, which needs more functions to achieve remote operation. However, it's difficult for users to adapt these new interfaces which now increases the difficulty and psychological burden. The purpose of this study is to optimize the information-linkage methods for users, mobile phones, and intelligent microwaves, promote information interconnections and enhance the user's experience. This paper analyzes the similarities and differences between traditional microwaves and intelligent microwaves, optimizes the information linkage processes, and verifies the design results through the emotional evaluation. We selected 40 subjects, tested and evaluated the experience for these new interfaces, and the results of emotional evaluation showed that the new interface prototypes optimized the information linkage and improved the usability. This new design allows more users to accept and be willing to further use intelligent microwaves.
{"title":"Information linkage design and emotional evaluation on intelligent microwaves","authors":"Jiuqiang Fu, B. Jiang, Namgyu Kang","doi":"10.1109/ICSESS.2017.8343023","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343023","url":null,"abstract":"Microwaves are indispensable part in the modern kitchen. In the transforming of traditional kitchen to be smart, microwaves are beginning to combine internet with mobile phone APP. This kind of information interconnection changes the control interface of traditional microwaves, which needs more functions to achieve remote operation. However, it's difficult for users to adapt these new interfaces which now increases the difficulty and psychological burden. The purpose of this study is to optimize the information-linkage methods for users, mobile phones, and intelligent microwaves, promote information interconnections and enhance the user's experience. This paper analyzes the similarities and differences between traditional microwaves and intelligent microwaves, optimizes the information linkage processes, and verifies the design results through the emotional evaluation. We selected 40 subjects, tested and evaluated the experience for these new interfaces, and the results of emotional evaluation showed that the new interface prototypes optimized the information linkage and improved the usability. This new design allows more users to accept and be willing to further use intelligent microwaves.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116573066","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}
Pub Date : 2017-11-01DOI: 10.1109/ICSESS.2017.8342996
A. Bilal, Guangmin Sun
In the past three decades, major technologies and economic developments have been made on the telecommunication sector. HF communication has now become the main feature of the telecommunication industry. An advantage of the use of HF communication is that high frequency system is inexpensive and allows long range communication with minimal equipment requirements and easy to implement in the isolated areas as well. Frequencies ranging from 1.6 MHz to 30 MHz is called High Frequency spectrum. One of the important developments in the HF communication is Automatic Link Establishment. ALE method is widely used by the military and other organizations. In this paper we have tried to describe the implementation of ALE military standard (188-141A). This standard defines a 2G HF ALE standard. We design a communication system that allows reliable data communication over HF radio by using the Matlab environment. Our work is divided into two parts. In first part at the transmitter level, we perform the encoder to encode the data bits for error correction and detection by using the golay code. After the encoder, interleave the encoded data bits and perform the 8 array FSK modulation to transmit the data. In the second part at the receiver, we demodulated the data and then deinterleave it. After the deinterleaving we perform the decoder by using the golay decoder. At the end there is a performance analysis that comprises SNR and BER plots.
{"title":"Automatic link establishment for HF radios","authors":"A. Bilal, Guangmin Sun","doi":"10.1109/ICSESS.2017.8342996","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342996","url":null,"abstract":"In the past three decades, major technologies and economic developments have been made on the telecommunication sector. HF communication has now become the main feature of the telecommunication industry. An advantage of the use of HF communication is that high frequency system is inexpensive and allows long range communication with minimal equipment requirements and easy to implement in the isolated areas as well. Frequencies ranging from 1.6 MHz to 30 MHz is called High Frequency spectrum. One of the important developments in the HF communication is Automatic Link Establishment. ALE method is widely used by the military and other organizations. In this paper we have tried to describe the implementation of ALE military standard (188-141A). This standard defines a 2G HF ALE standard. We design a communication system that allows reliable data communication over HF radio by using the Matlab environment. Our work is divided into two parts. In first part at the transmitter level, we perform the encoder to encode the data bits for error correction and detection by using the golay code. After the encoder, interleave the encoded data bits and perform the 8 array FSK modulation to transmit the data. In the second part at the receiver, we demodulated the data and then deinterleave it. After the deinterleaving we perform the decoder by using the golay decoder. At the end there is a performance analysis that comprises SNR and BER plots.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116737006","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}
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