{"title":"mm-Wave pulse-generation circuits in 65nm CMOS","authors":"Markus Törmänen","doi":"10.1109/ISICIR.2014.7029531","DOIUrl":"https://doi.org/10.1109/ISICIR.2014.7029531","url":null,"abstract":"Three mm-wave pulse generation circuits fabricated in a standard 65nm CMOS process are presented. Two versions are based on the cross-coupled NMOS LC-VCO (500um × 300 um), and one is based on the Colpitts VCO (600um × 300 um). No additional buffers are used in the cross-coupled versions, as they are directly loaded by 50 Ohms through a balun. They can produce measured pulses exceeding 8dBm peak output power suitable for impulse radio (IR) systems, and also capable of producing pulses at 6.2pJ/pulse. A drive stage is used in the Colpitts based version to drive 50 Ohm measurement equipment, achieving phase coherent pulses with 8.6pJ/pulse, suitable for pulsed radar applications or IR systems.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660048","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}
{"title":"A Fast Method for Detecting and Locating BGA Based on Twice Grading and Linking Technique","authors":"Hongxia Gao, Yueming Hu, Haiming Liu, Xiaosheng Fang","doi":"10.1109/ISIC.2007.4450914","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450914","url":null,"abstract":"BGA (Ball Grid Array) component with multi-pins and fine-pitch is difficult to detect and locate in electronic manufacturing process. The capability of detecting and locating algorithm designed for BGA directly affects the speed and accuracy of assembling BGA type PCB (Printed Circuit Board). This paper analyzes the difficulties of recognizing and locating BGA firstly. Then, based on BGA's symmetry and its ball grids' distributing characteristics, a new fast detecting and locating method for BGA is proposed, in which a twice grading and linking technique is used to sort BGA's solder balls hi the stored array accurately in order to locate BGA on PCB more precisely. The result demonstrates that the algorithm's performance is better than Point-Pattern Matching algorithm's and can meet the practical demand of mounting BGA components.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115132880","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}
{"title":"Artificial Neural Network tuned cascade control for temperature control of polymerization reactor","authors":"V. Damodaran, P. Balasubramanian, P. Natarajan","doi":"10.1109/ISIC.2011.6045421","DOIUrl":"https://doi.org/10.1109/ISIC.2011.6045421","url":null,"abstract":"The temperature control of a polymerization reactor described by Chylla and Haase, which is a control engineering benchmark problem, is used to illustrate the potential of adaptive control design by extending the conventional cascade control concept. In the benchmark scenario, the operation of the reactor must be guaranteed under various disturbing influences, e.g., changing ambient temperatures or impurity of the monomer. The cascade control provides a robust operation, but often lacks in control performance concerning the required strict temperature tolerances. The control concept presented in this contribution solves the problem by employing a self tuning cascade control concept in order to improve the performance of the temperature control. This design calculates a trajectory for the cooling jacket temperature in order to follow a predefined trajectory of the reactor temperature. Thereby, the reaction heat as well as the heat transfer coefficient in the energy balance is estimated by using Artificial Neural Network (ANN). Two simple physically motivated relations are employed, which allow the non-delayed estimation of both quantities. Simulation results under model uncertainties show the effectiveness of the self tuning cascade control concept.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123874693","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}
{"title":"Design of a fuzzy logic-based bidirectional mapping for Kohonen networks","authors":"H. Hülsen","doi":"10.1109/ISIC.2004.1387721","DOIUrl":"https://doi.org/10.1109/ISIC.2004.1387721","url":null,"abstract":"In control engineering identifying the model of a system as well as inverting this model is an important task. Neural networks have recently shown great success in identifying a model and fuzzy logic allows in some cases to invert the model and to describe it in a way that human beings can understand it. An algorithm is described that combines the advantages of both techniques. It is a self-organising locally interpolating map (SOLIM) that allows a bidirectional continuous mapping with extrapolation, the use of a-priori knowledge and a good visualisation of the data.","PeriodicalId":376705,"journal":{"name":"International Symposium on Intelligent Control","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121166711","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}