2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)最新文献_第5页

Multi Dimension Fuzzy C-means Color Image Segmentation Based on Intelligent Analysis Algorithm 基于智能分析算法的多维模糊c均值彩色图像分割

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10059660

Caizeng Ye, Peng Wang, P. Pareek

{"title":"Multi Dimension Fuzzy C-means Color Image Segmentation Based on Intelligent Analysis Algorithm","authors":"Caizeng Ye, Peng Wang, P. Pareek","doi":"10.1109/ICKECS56523.2022.10059660","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059660","url":null,"abstract":"In our daily life, people often encounter some fuzzy problems, such as image segmentation, digital filtering, etc. Therefore, this paper studies the color scene information compression based on intelligent analysis algorithm. First, the combination of fuzzy clustering method and gray model hair preprocessing method is introduced. Then, the simulation experiment results of Matlab software prove that the average number of the intelligent analysis algorithm is slightly larger in terms of the average number of the multi-dimensional FCCI(FCCI) segmentation technique, indicating that the performance of the intelligent analysis algorithm has been improved, mainly because the algorithm uses the midpoint method to select the original initial clustering center in the early stage, The algorithm can effectively reduce the number of iterations in the iterative process, thus improving the performance of the algorithm. This also shows that the method can well suppress noise and improve the effect of edge region separation. Finally, an idea of combining color threshold to effectively extract image segmentation features is proposed, and to some extent, adding color threshold to the image provides a theoretical basis and practical guidance for its further promotion.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115809643","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

Miniaturized Four-Element Antenna with Defected Ground and High Isolation 具有缺陷接地和高隔离的小型化四元天线

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060312

Anubhav Kumar, Pragya Gupta, Manisha Bharti, Divya Saxena

引用次数: 0

Analyze the Sintering Additives or Dopant Techniques to Y-TZP 分析Y-TZP烧结添加剂或掺杂工艺

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060072

Rahman Ashena, Jacqueline Lukose, Sudeep Suresh

{"title":"Analyze the Sintering Additives or Dopant Techniques to Y-TZP","authors":"Rahman Ashena, Jacqueline Lukose, Sudeep Suresh","doi":"10.1109/ICKECS56523.2022.10060072","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060072","url":null,"abstract":"The doping method generally can be defined as intentionally adding foreign or impurity particles to change the properties of the material (mechanical, electrical, or thermal properties) by modifying the micro or nanostructure of the materials. Transitional metal oxide become of the most popular material as additive compound to dope in YSZ. It served as a good sintering aid which greatly benefit on cost and energy saving. Besides that, the addition compound for the objectives of improving mechanical properties especially of hardness and fracture toughness. Through the review of YSZ application in bio-material industry, it showed that 3mol% yttria stabilizer to TZP (3Y-TZP) received a great welcoming and exhibited attractive mechanical properties and biocompatibility. However, to further improve the mechanical properties to widen the application of 3Y-TZP is always the the researchers is looking into. Numerous studies have demonstrated and documented how doping Y-TZP with transition metal oxides will improve and support the mechanical properties. Besides oxide elements as dopant, other non-oxide elements also played a role to enhance the mechanical properties of 3Y-TZP. However, these kinds of dopant displayed and exhibited slightly different outcome. Among all, alumina is one of the most popular be utilized to dope 3Y-TZP (or even other YSZ), and the outcome can be very interesting. Thus far, popular techniques of employing doping to 3Y-TZP generally can be divided into two types, one is single doping and co-doping. The aim of this section is to review the previous works and research on both techniques of their effect of transitional metal oxide as dopant to Y-TZP in term of sintering, densification, grain size development, mechanical properties, and other possible outcomes.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123713458","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: 0

Development of Low Power Transmission Line Clamp Temperature Measurement System Based on Lora Communication 基于Lora通信的低功率传输线钳位温度测量系统的研制

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060208

Wang Guangyang, Xia Na, Xu Shun'an, Xie Yuhan

引用次数: 0

Method for Mining Security Vulnerabilities of Data Storage of Electric Power Internet of Things Based On Spark Framework and RASP Technology 基于Spark框架和RASP技术的电力物联网数据存储安全漏洞挖掘方法

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10059626

Jianfei Chen, Huijun Du, Zhonglong Wang, Nianming Xue, Jia Peng, Wenjing Li

{"title":"Method for Mining Security Vulnerabilities of Data Storage of Electric Power Internet of Things Based On Spark Framework and RASP Technology","authors":"Jianfei Chen, Huijun Du, Zhonglong Wang, Nianming Xue, Jia Peng, Wenjing Li","doi":"10.1109/ICKECS56523.2022.10059626","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10059626","url":null,"abstract":"The construction of power IoT (Internet of things) will greatly change the existing power business model and professional system, and will inevitably impact the data storage security of power IoT business. Due to the negligence or omission of the database designer in the process of designing and developing the database, there are a lot of security holes in the database, which makes the attacker successfully attack the database. In this paper, the research on data storage security vulnerability mining method of power IoT based on Spark framework and RASP technology is carried out. This paper puts forward a vulnerability mining methodology, which can be used to mine more potential vulnerabilities in Oracle more universally. In this way, the anonymous block is passed in as a parameter, and it is processed with the caller's permission instead of the definer's permission. Therefore, the attacker can only run the injected anonymous block with his own low permission, and can't achieve the attack purpose. The research results show that the algorithm designed in this paper will not be affected by memory space, so the mining efficiency of big data local frequent itemsets mining algorithm designed in this paper based on Spark framework will be much higher than that of traditional Apriori algorithm and FP-Growth algorithm. The mining performance of this method is better than that of the latter in three vulnerability types: injection vulnerability, XSS and CSRF.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122651516","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: 0

Radio Frequency Identification Technology Based On Wireless Network in Temperature Measuring System of Switch Cabinet 基于无线网络的开关柜测温系统射频识别技术

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060501

Yu Xi, Li Yu, Bo Chen, Yumin Chen, Jiaxing Zhang, Wenhui Jiang

{"title":"Radio Frequency Identification Technology Based On Wireless Network in Temperature Measuring System of Switch Cabinet","authors":"Yu Xi, Li Yu, Bo Chen, Yumin Chen, Jiaxing Zhang, Wenhui Jiang","doi":"10.1109/ICKECS56523.2022.10060501","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060501","url":null,"abstract":"Temperature measurement of machines has been entered into the field of people's life, people's activities are inseparable from the support of temperature measurement system, along with the development of Chinese switch cabinet industry, the scale of temperature measuring machines is increasing, and the security, stability and reliability of temperature measuring system are more and more demanding. In order to solve the existing problems of the switch cabinet temperature measuring system, radio frequency identification technology based on wireless network is presented in this paper the basic working process and the energy transmission of the steps and switch cabinet temperature measurement is described on the basis of the characteristics, according to the contact between the two, the wireless radio frequency identification technology in the switch cabinet temperature measurement system design and application, finally through the concrete experiment tests have shown that Wireless network radio frequency technology has a high accuracy rate and small error in the temperature measurement system of the switch cabinet. The highest error value of the signal of radio frequency identification technology in the temperature measurement system of the switch cabinet is only 22, and the highest error value of the polychlorine in the temperature measurement system of the switch cabinet is only 22.6. Therefore, it can be concluded that the application effect of RFID technology in temperature measuring system of switch cabinet is better.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125155630","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: 0

Parallelization of Local Neighborhood Difference Pattern Feature Extraction using GPU 基于GPU的局部邻域差分模式特征提取并行化

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060766

Arisetty Sree Ashish, Ashwath Rao B

引用次数: 0

DynaMalDroid: Dynamic Analysis-Based Detection Framework for Android Malware Using Machine Learning Techniques DynaMalDroid:基于动态分析的Android恶意软件检测框架，使用机器学习技术

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060106

Hashida Haidros Rahima Manzil, Manohar Naik S

{"title":"DynaMalDroid: Dynamic Analysis-Based Detection Framework for Android Malware Using Machine Learning Techniques","authors":"Hashida Haidros Rahima Manzil, Manohar Naik S","doi":"10.1109/ICKECS56523.2022.10060106","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060106","url":null,"abstract":"Android malware is continuously evolving at an alarming rate due to the growing vulnerabilities. This demands more effective malware detection methods. This paper presents DynaMalDroid, a dynamic analysis-based framework to detect malicious applications in the Android platform. The proposed framework contains three modules: dynamic analysis, feature engineering, and detection. We utilized the well-known CICMalDroid2020 dataset, and the system calls of apps are extracted through dynamic analysis. We trained our proposed model to recognize malware by selecting features obtained through the feature engineering module. Further, with these selected features, the detection module applies different Machine Learning classifiers like Random Forest, Decision Tree, Logistic Regression, Support Vector Machine, Naïve-Bayes, K-Nearest Neighbour, and AdaBoost, to recognize whether an application is malicious or not. The experiments have shown that several classifiers have demonstrated excellent performance and have an accuracy of up to 99%. The models with Support Vector Machine and AdaBoost classifiers have provided better detection accuracy of 99.3% and 99.5%, respectively.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"2021 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125574180","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

Handling Data and Model Drift for World Application using Big Data 大数据在全球应用中的数据处理与模型漂移

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060693

Rajesh Singh, A. Gehlot, Finney Daniel Shadrach, S. Prabu, R. Nirmalan, V. Sunil Kumar

{"title":"Handling Data and Model Drift for World Application using Big Data","authors":"Rajesh Singh, A. Gehlot, Finney Daniel Shadrach, S. Prabu, R. Nirmalan, V. Sunil Kumar","doi":"10.1109/ICKECS56523.2022.10060693","DOIUrl":"https://doi.org/10.1109/ICKECS56523.2022.10060693","url":null,"abstract":"It's still unclear how to effectively extract the information concealed inside vast and massive amounts of data. The problem of “idea drift” in stream data flows is one of the difficulties. Random walk is a common issue in data analytics where the statistical features of the characteristics and the categories they are intended for change with time, decreasing the accuracy of the trained model. There are numerous approaches that have been put out for bulk data mining. A new generation of data mining methods called stream mining updates the model in a single pass whenever fresh data is received. Because of its inherent adaptability, this one-pass mechanism may be properly capable than its predecessors of coping with idea drift in data streams. In this study, we assess a group of algorithms for mining the data streams using decision trees. The collection of rules which can be derived from the induced model is the benefit of decision tree learning. The predicate logics that represent the extracted rules can then be applied in a variety of decision-supporting applications. Even in the face of concept drift, the induced decision tree has to be precise and condensed. When dealing with concept-drift data, we evaluate how well three common incremental decision tree methods (random forest, isolation forest, and forest tree) perform. In the experiment, drift data from both synthetic and actual environments are employed. It is discovered that optimization method with big data technique i.e., MapReduce yields better outcomes.","PeriodicalId":171432,"journal":{"name":"2022 International Conference on Knowledge Engineering and Communication Systems (ICKES)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126243490","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

Age Detection based on Facial Features Using Support Vector Machine 基于支持向量机的人脸特征年龄检测

2022 International Conference on Knowledge Engineering and Communication Systems (ICKES) Pub Date : 2022-12-28 DOI: 10.1109/ICKECS56523.2022.10060119

Jayaprada Hiremath, Shantala S. Hiremath, Sujith Kumar, Elukoti Hebbare, Shantakumar B. Patil, Mrutyunjaya S. Hiremath

引用次数: 0