Madhuri Avula, Narasimha Prasad Lakkakula, M. Raja
{"title":"Bone Cancer Detection from MRI Scan Imagery Using Mean Pixel Intensity","authors":"Madhuri Avula, Narasimha Prasad Lakkakula, M. Raja","doi":"10.1109/AMS.2014.36","DOIUrl":"https://doi.org/10.1109/AMS.2014.36","url":null,"abstract":"Cancer is a dangerous disease, which is caused because of unregulated cell growth. After many researches, almost 100 different types of cancer has been detected in human body. Out of these, one of the most widely spread is bone cancer, which leads to death. The detection of bone cancer is very critical and which has no anticipation. Presently, most of the study is done by using data mining methods and the image processing techniques for medical image analysis process. The data and the knowledge collecting from large databases and related websites have been predictable by many scientific researchers. Association rule mining, supports vector machines, fuzzy theory and probabilistic neural networks and learning vector quantization are the mostly used methods for detection and classification of bone cancer. This paper used k means clustering algorithm for bone image segmentation. The segmented image is further processed for bone cancer detection by evaluating the mean intensity the identified area. Threshold values are proposed for the classification of medical images for the presence or absence of bone cancer. This method uses jpeg images, but also applicable for original format of DICOM (digital imaging communication of medicine) medical images if any modifications are done. The results using this method gives 95% accuracy with less computational time.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121150524","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":"Reflection Support System Based on an Attention Behavior Model for Cooking Cognitive Rehabilitation","authors":"Mutsuo Sano","doi":"10.1109/AMS.2014.32","DOIUrl":"https://doi.org/10.1109/AMS.2014.32","url":null,"abstract":"We have conducted ADL cognitive cooking rehabilitations for dementia patients and higher brain dysfunction people to promote their self-reliance. This paper focuses on attention behavior during cooking rehabilitation. We propose a cooking attention behavior model integrating an attention flow extracted from a cooking task model in a top-down manner with a saliency map configured from an early human vision model in a bottom-up manner. Moreover, we systematize the proposed model as five attention behavior indexes that are derived from the recognition outputs of cooking state and propose a reflection support system based on their indexes. Finally we verify the validity and reliability of the proposed system through evaluation experiments.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125914153","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}
D. Sitaram, Phalachandra Hallymysore, Sudheendra Harwalkar, Supriya Kathare, A. Srinivasan, A. Reddy, K. Kumar, S. Sekhar
{"title":"OpenSim: A Simulator of OpenStack Services","authors":"D. Sitaram, Phalachandra Hallymysore, Sudheendra Harwalkar, Supriya Kathare, A. Srinivasan, A. Reddy, K. Kumar, S. Sekhar","doi":"10.1109/AMS.2014.28","DOIUrl":"https://doi.org/10.1109/AMS.2014.28","url":null,"abstract":"Cloud Computing is still an emerging field experiencing rapid advancement in both industry and academia. Cloud computing has solved many problems initially faced by internet application developers such as acquisition of a server with a fixed capacity to handle expected peak application demand which led to under-utilization of provisioned resources, by enabling a new consumption and delivery model for IT services. It involves provisioning of dynamically scalable and virtualized resources as a service over the Internet. Evaluation of algorithms and policies in an exhaustive manner directly on a cloud is infeasible as it involves a lot of time and effort. Moreover, utilization of real cloud infrastructure limits the experiment to the scale of the infrastructure. A desirable alternative would be utilization of simulation tools that enables evaluation of a hypothesis in a repeatable, controlled and timely manner prior to software development in a cloud environment. Taking into consideration these issues and the ever-growing popularity of OpenStack, in this paper we propose OpenSim a simulator of OpenStack services. It has been developed by the authors of this paper with the intention of simulating new algorithms and also to enable a user to study the behavior of an application running under various deployment configuration in an OpenStack environment.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125498384","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":"Implementation Method of Answering Engine for Vietnamese Questions in Reading Answering System Model (RASM)","authors":"S. Pham, Dang Tuan Nguyen","doi":"10.1109/AMS.2014.42","DOIUrl":"https://doi.org/10.1109/AMS.2014.42","url":null,"abstract":"This paper aims to present our method of implementation which is introduced to build the answering engine of RASM (Reading Answering System Model). RASM is built to run on Prolog's engine and can read many forms of Vietnamese news titles of ICTNEWS (http://ictnews.vn) to answer several types of Vietnamese questions. In RASM, the answering engine is the central kernel. The RASM's answering engine includes two principal elements: i) first element is a computational grammar which is defined in DCG (Definite Clause Grammar) to determine the semantic representation of Vietnamese questions, ii) second element is a seeking method to answer the questions.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975765","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}
Gaby Abou Haidar, Roger Achkar, Ramzy Abou Dayya, A. Salloum, K. Daoud
{"title":"Remote Generator Control Using Android Application","authors":"Gaby Abou Haidar, Roger Achkar, Ramzy Abou Dayya, A. Salloum, K. Daoud","doi":"10.1109/AMS.2014.50","DOIUrl":"https://doi.org/10.1109/AMS.2014.50","url":null,"abstract":"The traditional technique of monitoring an electric generator was through regular checks on the generator's variables: oil, temperature, voltage, and current on a daily basis. Therefore, keeping a normal cycle of performance requires hard work and is often imprecise. The paper presents the solution for the aforementioned issues and more. The idea is to initialize an application that monitors electric generators wireless, using the famous Smart Phone operating system Android. The implemented sensors deliver analog signals that provide real time data about the generator's status. These data are converted and programmed though the Arduino microcontroller, which outputs the results in its digital state and then transforms the output into a serial signal, transmitted to the android phone, through a router. Thus a live feedback of the state of the generator is assured. In addition, this project provides a control button that can actually turn this generator on and off. This project is the first step towards the combination of systems and control because it revolutionizes the ideology of monitoring and displaying real time data which can be implemented in various fields depending on different needs. Such fields include electricity, mechanics, and communication. The main limitation faced was the lack of advanced electronics, and technology.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121548884","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":"Novel Multibiosensors and Biomedical Application","authors":"A. Tashtoush","doi":"10.1109/AMS.2014.53","DOIUrl":"https://doi.org/10.1109/AMS.2014.53","url":null,"abstract":"Annually, a lot of patients in Canadian hospitals are contaminated with antibiotic-resistant bacteria, resulting in abundant amounts of money spent on the health-care system. Even though most bacteria are risk-free to healthy individuals, the symptoms of bacterial contamination can be severe for patients with a weakened immune system. Early detection is critical for improved patient care and can help in minimizing the risk of cross contamination between patients. This work aims at using state-of-the-art technologies for developing handheld multibiosensors on a single chip for pathogenic bacteria detection. There is extensive demand for a low-cost, rapid, selective and sensitive method for detecting bacteria in medical diagnosis, and food-safety inspection. In this work, we are introducing more than one technique based on a CMOS/MEMS technology batch process for detecting pathogen bacterial cell at a low concentration level. The methodology of the proposed multi-labs-on-a-single-chip system (MLoC) lies on miniaturizing transducers, which is utilizing a sort of technique that has the capability to smooth the progress of point-of-care testing (POCT) and become conscious state-of-the-art molecular analysis independently of the state-of-the-art laboratory. MLoC methodology can be categorized as electrochemical, capacitive and optical, on the light of their sensing theory, incorporated with interdigitated microelectrode array (IDMA).","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"13 14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115069630","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}
K. Kuroda, R. Yokoyama, Daisuke Kobayashi, T. Ichimura
{"title":"An Approach to Outage Location Prediction Utilizing Smart Metering Data","authors":"K. Kuroda, R. Yokoyama, Daisuke Kobayashi, T. Ichimura","doi":"10.1109/AMS.2014.23","DOIUrl":"https://doi.org/10.1109/AMS.2014.23","url":null,"abstract":"Recently, advanced and intelligent power supply networks have been proposed under the concept of Smart Grid and smart meters have been implemented all over the world as the first step. While the first purpose of smart meter installation is improvement of metering business efficiency by automated and remote meter reading and tamper prevention by accurate and frequent meter readings, various new services utilizing such accurate and frequent smart metering data have been considered. This paper proposes an approach of outage location prediction utilizing smart metering data for rapid detection and restoration of power outages.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121765450","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":"TANH Spline Interpolation for Analytical Modelling of BK Ion Channels in Smooth Muscle","authors":"Suranjana Gupta, R. Manchanda","doi":"10.1109/AMS.2014.25","DOIUrl":"https://doi.org/10.1109/AMS.2014.25","url":null,"abstract":"Ion channels are molecular entities that are responsible for electrical signal generation in nerve, muscle and other cells. The paper discusses the use of tangent hyperbolic functions (TANH) in the modelling of the Big Conductance Potassium (BK) ion channel, especially for the smooth muscle of the urinary bladder. Ion channels are often modelled using the Hodgkin-Huxley formalism, in which equations governing the dependencies of various state parameters on cellular variables are derived from experimental data. When there is sufficient experimental data, formulating equations that replicate the trend becomes relatively easy. However, where the data for these dependencies is sparse, usual approaches fail. Here, we describe a TANH spline interpolation technique as an efficient means of fitting sparse data. TANH is used to \"braid\" functions in two adjacent regions and is done, unlike with splines, in a way such that a single function operates over the whole region. The resultant function is whole range, continuous and differentiable to any arbitrary order. We have demonstrated the application of this technique in modelling the parameter \"slope factor\" for the BK channel of mammalian smooth muscle. We show that, by the use of this technique, BK channel current outputs thus generated, faithfully replicate physiologically recorded BK currents from the detrusor smooth muscles of guinea-pig bladder. We propose this method as one of the general application in modelling ion channels constrained by sparse experimental data.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129854388","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":"Investigation on the Mechanical Effects of Electrodes to Multi-layer Piezoelectric Actuators by Using Finite Element Analysis","authors":"Yuchi Liang, Tien-Fu Lu, Yangkun Zhang","doi":"10.1109/AMS.2014.57","DOIUrl":"https://doi.org/10.1109/AMS.2014.57","url":null,"abstract":"A multi-layer piezoelectric actuator (PEA) stacks piezo thin layers which can convert electric energy to deformation. It is widely used to generate nano-scale displacements. It is well known that the more layers one can stack for a given overall PEA length, the more deformation it can produce when excited by the same voltage. As a result, there is a tendency to reduce the thickness of piezo layers. This means more layers can be stacked within a given PEA overall length. It however raises a question about the impacts of electrode thickness on the static and dynamic behaviours of a PEA when the thickness ratio of piezo layer and electrode changes. In this research, a FEA model is therefore established in ANSYS to investigate the effects of electrodes to static and dynamic characteristics of the whole structure.","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132032408","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":"Severity Based Adaptation for ASR to Aid Dysarthric Speakers","authors":"B. Al-Qatab, Mumtaz Begum Mustafa, S. Salim","doi":"10.1109/AMS.2014.40","DOIUrl":"https://doi.org/10.1109/AMS.2014.40","url":null,"abstract":"Automatic speech recognition (ASR) for dysarthric speakers is one of the most challenging research areas. The lack of corpus for dysarthric speakers makes it even more difficult. This paper introduces the Intra-Severity adaptation, using small amount of speech data, in which data from all participants in a given severity type will use for adaptation of that type. The adaptation is performed for two types of acoustic models, which are the Controlled Acoustic Model (CAM) developed using rich phonetic corpus, and Dysarthric Acoustic Model (DAM) that includes speech collected from dysarthric speakers suffering from variety level of severity. This paper compares two adaptation techniques for building ASR systems for dysarthric speakers, which are Maximum Likelihood Linear Regression (MLLR) and Constrained Maximum Likelihood Linear Regression (CMLLR).The result shows that the Word Recognition Accuracy (WRA) for the CAM outperformed DAM for both the Speaker Independent (SI) and Speaker Adaptation (SA). On the other hand, it was found that MLLR is outperformed the CMLLR for both Controlled Speaker Adaptation (CSA) and Dysarthric Speaker Adaptation (DSA).","PeriodicalId":198621,"journal":{"name":"2014 8th Asia Modelling Symposium","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133678697","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}