E. Mircia, S. Imre, E. Sipos, V. Avrigeanu, A. Popovici, G. Hancu
Thermal and chemical stability of pentoxifylline from modified release tablets were studied. This experimental study observed the influence of temperature and humidity on the stability of pentoxifylline from the proposed formulations. The paper describes the HPLC determination of pentoxifylline from new controlled release tablets with hydrophilic matrix (HPMC, HPC, HEC). A C18 column with a mobile phase containing water : acetonitrile 70:30 (V/V) and UV detection at 280 nm was used. The "in vitro" dissolution test was carried out regarding the officinal stipulations of USP; the machine nr.2 was used (with paddles); as dissolution environment 1000 ml water, a constant temperature of 37 plusmn 0.5degC was kept. In all experiences, the rotation speed was 50 rpm. The studied tablets were kept in the stability chamber at a temperature of 40 plusmn 2degC and a relative humidity of 75 plusmn 5%. At different time intervals (a month, three months, six months), samples were prelevated to accomplish the dissolution test and the quantitative determination of pentoxifylline. From the evaluation of the experimental results, we observed the stability of pentoxifylline from all the prepared tablets.
{"title":"Study of Pentoxifylline Chemical Stability from Modified Release Tablets with Hydrophilic Mould","authors":"E. Mircia, S. Imre, E. Sipos, V. Avrigeanu, A. Popovici, G. Hancu","doi":"10.1109/CANS.2008.35","DOIUrl":"https://doi.org/10.1109/CANS.2008.35","url":null,"abstract":"Thermal and chemical stability of pentoxifylline from modified release tablets were studied. This experimental study observed the influence of temperature and humidity on the stability of pentoxifylline from the proposed formulations. The paper describes the HPLC determination of pentoxifylline from new controlled release tablets with hydrophilic matrix (HPMC, HPC, HEC). A C18 column with a mobile phase containing water : acetonitrile 70:30 (V/V) and UV detection at 280 nm was used. The \"in vitro\" dissolution test was carried out regarding the officinal stipulations of USP; the machine nr.2 was used (with paddles); as dissolution environment 1000 ml water, a constant temperature of 37 plusmn 0.5degC was kept. In all experiences, the rotation speed was 50 rpm. The studied tablets were kept in the stability chamber at a temperature of 40 plusmn 2degC and a relative humidity of 75 plusmn 5%. At different time intervals (a month, three months, six months), samples were prelevated to accomplish the dissolution test and the quantitative determination of pentoxifylline. From the evaluation of the experimental results, we observed the stability of pentoxifylline from all the prepared tablets.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"38 1","pages":"231-242"},"PeriodicalIF":2.1,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88276170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The discovery of word categories is an important step in statistical grammar induction systems. Word categories can be considered as clusters containing words with similar grammatical or semantic behavior. Having a metric space of words, the clustering algorithm will place similar words into the same cluster, whereas dissimilar ones are clustered into different groups. In this paper we propose an approximate word clustering method based on context similarity. The context of a word is defined here as the set of sentences containing the word. The similarity of two words is measured with the similarity of the corresponding context sets. For the calculation of the context-based distance of two words, a hierarchical agglomerative clustering algorithm has been developed, and is presented here.
{"title":"Clustering Based on Context Similarity","authors":"L. Kovács, T. Repasi, E. Baksa-Varga, P. Barabas","doi":"10.1109/CANS.2008.26","DOIUrl":"https://doi.org/10.1109/CANS.2008.26","url":null,"abstract":"The discovery of word categories is an important step in statistical grammar induction systems. Word categories can be considered as clusters containing words with similar grammatical or semantic behavior. Having a metric space of words, the clustering algorithm will place similar words into the same cluster, whereas dissimilar ones are clustered into different groups. In this paper we propose an approximate word clustering method based on context similarity. The context of a word is defined here as the set of sentences containing the word. The similarity of two words is measured with the similarity of the corresponding context sets. For the calculation of the context-based distance of two words, a hierarchical agglomerative clustering algorithm has been developed, and is presented here.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"42 1","pages":"157-165"},"PeriodicalIF":2.1,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85434234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
One of the important areas of machine learning is the development and use of probabilistic models for classification and prediction. In our earlier work we introduced a special kind of junction tree, based on a hypergraph structure called t-cherry tree and on some information theoretical concepts. In this paper we present a possibility for the improvement of these junction trees, by ldquocutting and refittingrdquo of the junction treepsilas branches. Both theoretical and experimental results demonstrate the improvement of the junction tree obtained after ldquobranch cutting and refittingrdquo.
{"title":"Some Improvements of t-Cherry Junction Trees","authors":"E. Kovács, T. Szántai","doi":"10.1109/CANS.2008.22","DOIUrl":"https://doi.org/10.1109/CANS.2008.22","url":null,"abstract":"One of the important areas of machine learning is the development and use of probabilistic models for classification and prediction. In our earlier work we introduced a special kind of junction tree, based on a hypergraph structure called t-cherry tree and on some information theoretical concepts. In this paper we present a possibility for the improvement of these junction trees, by ldquocutting and refittingrdquo of the junction treepsilas branches. Both theoretical and experimental results demonstrate the improvement of the junction tree obtained after ldquobranch cutting and refittingrdquo.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"88 2 1","pages":"117-125"},"PeriodicalIF":2.1,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83615999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper is concerned with an approach of risk aversion by possibility theory. We introduce and study new possibilistic risk indicators. The main notions are the possibilistic risk premium and the possibilistic relative risk premium associated with a fuzzy number and a utility function. We also give formulae for computing them. They extend to possibility theory the classic notions of risk premium and relative risk premium. We show by an example how the main possibilistic risk indicators are computed using trapezoidal fuzzy numbers.
{"title":"Risk Aversion through Fuzzy Numbers","authors":"I. Georgescu","doi":"10.1109/CANS.2008.27","DOIUrl":"https://doi.org/10.1109/CANS.2008.27","url":null,"abstract":"This paper is concerned with an approach of risk aversion by possibility theory. We introduce and study new possibilistic risk indicators. The main notions are the possibilistic risk premium and the possibilistic relative risk premium associated with a fuzzy number and a utility function. We also give formulae for computing them. They extend to possibility theory the classic notions of risk premium and relative risk premium. We show by an example how the main possibilistic risk indicators are computed using trapezoidal fuzzy numbers.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"1 1","pages":"174-182"},"PeriodicalIF":2.1,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81029769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Intrusion detection system (IDS) is an effective tool that can help to prevent unauthorized access to network resources. A good intrusion detection system should have higher detection rate and lower false positive. A new classification system using Jordan/Elman (J/L) neural network for ID is proposed to detect intrusions from normal connections with satisfactory detection rate and false positive. Experiments and evaluations were performed with the KDD Cup 99 intrusion detection database. This system yields the same performance level or better as compared to other existing systems. Comparison with other approach based on different evaluation parameters showed that proposed approach has noticeable performance with detection rate 99.594% and false positive 0.406% and can classify the network connections with satisfactory performance.
入侵检测系统(IDS)是防止非法访问网络资源的有效工具。一个好的入侵检测系统应该具有较高的检测率和较低的误报率。提出了一种利用Jordan/Elman (J/L)神经网络对ID进行分类的新方法，该方法可以检测正常连接的入侵，检测率令人满意，且没有出现误报。利用KDD Cup 99入侵检测数据库进行了实验和评估。与其他现有系统相比，该系统产生相同或更好的性能水平。与其他基于不同评价参数的方法进行比较，结果表明，该方法具有显著的性能，检测率为99.594%，误报率为0.406%，能够对网络连接进行分类，并取得满意的分类效果。
{"title":"A New Approach for Detecting Intrusions Using Jordan/Elman Neural Networks","authors":"H. Karimi, M. A. Montazeri, M. D. Jazi","doi":"10.1109/CANS.2008.15","DOIUrl":"https://doi.org/10.1109/CANS.2008.15","url":null,"abstract":"Intrusion detection system (IDS) is an effective tool that can help to prevent unauthorized access to network resources. A good intrusion detection system should have higher detection rate and lower false positive. A new classification system using Jordan/Elman (J/L) neural network for ID is proposed to detect intrusions from normal connections with satisfactory detection rate and false positive. Experiments and evaluations were performed with the KDD Cup 99 intrusion detection database. This system yields the same performance level or better as compared to other existing systems. Comparison with other approach based on different evaluation parameters showed that proposed approach has noticeable performance with detection rate 99.594% and false positive 0.406% and can classify the network connections with satisfactory performance.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"78 1","pages":"62-68"},"PeriodicalIF":2.1,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83755784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A study regarding the use of the semantic Web technologies within complex systems-distributed file systems, grid platforms and wiki-like applications-is presented from the perspective of the knowledge management, especially the modeling of the implicated resources. Several case studies are described, involving the use of actual semantic Web model, languages, and technologies-including microformats and ontologies-to express knowledge in the context of the distributed systems.
{"title":"Semantic Web-Based Knowledge Management in Distributed Systems","authors":"S. Buraga","doi":"10.1109/CANS.2008.9","DOIUrl":"https://doi.org/10.1109/CANS.2008.9","url":null,"abstract":"A study regarding the use of the semantic Web technologies within complex systems-distributed file systems, grid platforms and wiki-like applications-is presented from the perspective of the knowledge management, especially the modeling of the implicated resources. Several case studies are described, involving the use of actual semantic Web model, languages, and technologies-including microformats and ontologies-to express knowledge in the context of the distributed systems.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"30 1","pages":"11-20"},"PeriodicalIF":2.1,"publicationDate":"2008-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90606100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neuro-Fuzzy Inference System and Rough Set Theory (RST), called SONFIS and SORST. We show how our algorithms can be construed as a linkage of government-society (or any other similar systems) interactions, where government catches various states of behaviors: ldquosolid (absolute) or flexiblerdquo. So, transition of society, by changing of connectivity parameters (noise) from order to disorder is inferred.
{"title":"Modeling of Social Transitions Using Intelligent Systems","authors":"H. Owladeghaffari, W. Pedrycz, M. Sharifzadeh","doi":"10.1109/CANS.2008.8","DOIUrl":"https://doi.org/10.1109/CANS.2008.8","url":null,"abstract":"In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neuro-Fuzzy Inference System and Rough Set Theory (RST), called SONFIS and SORST. We show how our algorithms can be construed as a linkage of government-society (or any other similar systems) interactions, where government catches various states of behaviors: ldquosolid (absolute) or flexiblerdquo. So, transition of society, by changing of connectivity parameters (noise) from order to disorder is inferred.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"28 1","pages":"3-10"},"PeriodicalIF":2.1,"publicationDate":"2008-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81039523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-07-24DOI: 10.1504/IJVD.2006.010437
F. Assadian, N. Aneke
The development and application of mechatronic sub-systems has dramatically increased in the automobile industry during recent years. The implementation of these sub-systems, aboard vehicles, has resulted in an increase in vehicle performance and stability. However, until recently, these sub-systems have been developed for specific objectives without considering the dynamic coupling between these systems. Hence, their potential has not been fully exploited. In this paper, the coupling effect of the active differential and the active roll control systems on the lateral and the yaw rate dynamics of a vehicle are demonstrated by deriving a simple linearised model. Then, two distinct control strategies are proposed for illustrating the benefits of integrating the aforementioned systems. The first control method is based on direct use of an optimisation method for computing optimal mapping of the requested vehicle body forces to the actuator inputs. The second method utilises a MIMO model based control methodology. The advantages and the drawbacks of each control strategy are discussed and the simulation results are presented.
{"title":"Two distinct methods for integration of active differential and active roll control systems","authors":"F. Assadian, N. Aneke","doi":"10.1504/IJVD.2006.010437","DOIUrl":"https://doi.org/10.1504/IJVD.2006.010437","url":null,"abstract":"The development and application of mechatronic sub-systems has dramatically increased in the automobile industry during recent years. The implementation of these sub-systems, aboard vehicles, has resulted in an increase in vehicle performance and stability. However, until recently, these sub-systems have been developed for specific objectives without considering the dynamic coupling between these systems. Hence, their potential has not been fully exploited. In this paper, the coupling effect of the active differential and the active roll control systems on the lateral and the yaw rate dynamics of a vehicle are demonstrated by deriving a simple linearised model. Then, two distinct control strategies are proposed for illustrating the benefits of integrating the aforementioned systems. The first control method is based on direct use of an optimisation method for computing optimal mapping of the requested vehicle body forces to the actuator inputs. The second method utilises a MIMO model based control methodology. The advantages and the drawbacks of each control strategy are discussed and the simulation results are presented.","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"1 1","pages":"97-118"},"PeriodicalIF":2.1,"publicationDate":"2006-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83486867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2000-01-01DOI: 10.1007/978-3-7908-1844-4_14
L. Zadeh
{"title":"Toward an Enlargement of the Role of Natural Languages in Information Processing, Decision and Control","authors":"L. Zadeh","doi":"10.1007/978-3-7908-1844-4_14","DOIUrl":"https://doi.org/10.1007/978-3-7908-1844-4_14","url":null,"abstract":"","PeriodicalId":50026,"journal":{"name":"Journal of Systems Science & Complexity","volume":"1 1","pages":"81-82"},"PeriodicalIF":2.1,"publicationDate":"2000-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87355340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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