2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)最新文献

{"title":"DsOn: Ontology-Driven Model for Symptom and Drug Knowledge Extraction on Social Media","authors":"F. Motlagh","doi":"10.1109/ICCAKM46823.2020.9051527","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051527","url":null,"abstract":"Social media has extensive content volunteered by drug users, who also mentions drug side-effects. Such mentions may indicate side-effects that are heretofore unknown to the medical professionals and researchers, pharmaceutical companies, and regulators. To study and monitor the drug and its potential symptoms and side-effects for epidemiological surveillance of drug trends, the research needed a higher level of knowledge extraction and improvement in domain knowledge. Our aim is to methodically classify the tweets that mention drug side-effects, and by applying our model we improved the medical knowledge extraction from our data-set. We crawled 7 million tweets related to marijuana concentrate and cannabis (known as marijuana) the tweet text mentioned about marijuana usage, marijuana consumption, the medicinal value of marijuana and symptoms or side-effects of marijuana. It is essential to identify the drug side-effects in the tweets in order to create a bag of words relating to each category of marijuana. This will assist us in the classification of tweets under different categories of marijuana-based on side-effects. We manually created multi-domain knowledge, modeled in DsOn(Drug and Symptom Otology), to facilitate the extraction of semantic parsing from people opinion on Social Media, through a combination of medical taxonomy dictionary, and semantics relationship based techniques from UMLS, PubMed, and DBpedia. Experiment results showed an improvement in recall from 0.14 (without ontology model) to 0.23 (with ontology model).","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133903945","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":"Distortion analysis for open signals using 4092 distortion analyzer","authors":"Vidit Shukla, Shilpa Choudhary, Mudita Vats, Smriti Sachan","doi":"10.1109/ICCAKM46823.2020.9051535","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051535","url":null,"abstract":"The enormous experimentation with waveforms is necessary for the analysis of Percentage Distortion of different waveforms for surveying the attributes of the percentage distortion of waveforms at various Frequencies, while the Amplitude is kept constant. Further the analysis is done at constant Frequency and varying Amplitude for conclusion of the traits exhibited by different waveforms by their level of percentage Distortion and is explored with graphical representations. Hence the comparative analysis is accomplished, beneficial results and fruitful conclusions are inferred.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114249744","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 Model to Stabilize E-Loyalty to Healthcare Services in the Context of the Internet of Things by using Fuzzy AHP Method","authors":"Farhad Lotfi, A. Soleimani","doi":"10.1109/ICCAKM46823.2020.9051518","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051518","url":null,"abstract":"The Internet of Things (IoT) is a concept that has received a lot of attention both at university and industry recently. Today, the necessity of the Internet of Things in the field of health is well felt. It can also be argued that when health information is placed in the context of information and communication technology, information exchange will be faster and less error-prone. This research studied the stabilizing e-loyalty to healthcare services in the context of IoT. The evaluation was carried out among 29 experts who have studied or researched in this field. The Fuzzy AHP method was used in this article. The findings indicate that the variables of electronic loyalty, satisfaction and information privacy are more important than perceived usefulness, self-efficacy and personal innovation.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121327109","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 UWB Antenna for the 5G Mobile Communication Applications: A Review","authors":"Praveen Tiwari, P. Malik","doi":"10.1109/ICCAKM46823.2020.9051556","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051556","url":null,"abstract":"In the article, different antennas are reviewed and their design principle, gain, and performance are analyzed. Ultra Wide-Band (UWB) antennas were reviewed and their role in the future Fifth Generation (5G) mobile networks are explored. The antennas are assumed to be planar in design and the size should be small to provide proper configuration of their geometry to work effectively inside an ultra-wide frequency range in the 5G candidate frequency bands. Currently, there are numerous antenna structures that can achieve expansive transfer speed to be used in UWB frameworks, such as the Vivaldi antenna, bi-cone shaped antenna, wireless and winding antenna as can be seen. A Vivaldi antenna for UWB operation is one of the receiver's receiving devices. It has a directional radiation design and is therefore not suitable for either remote indoor correspondence or versatile/convenient devices that require omnidirectional radiation patterns to facilitate easy and effective correspondence between transmitters and recipients in any way. Mono-cone-shaped and bi-tapered reception devices have massive constructions with enormous physical dimensions pointing to their applications in isolation. For indoor remote communication apps or versatile/compact devices, log intermittent and winding radio cables are two different UWB reception devices that can operate in the 3.1-10.6 GHz frequency band, however. This is because they have huge physical sizes just as dispersive characteristics with frequency and severe ringing effect. This study reviews all the existing traditional as well as hybrid antennas so that while designing the UWB antenna for %G the best characteristics are chosen based on the most dynamic design, achieving highest peak gain as well as providing the best performance. UWB antennas have shown dynamic characteristics which makes it suitable for use in 5G applications. It handles the traditional issues of isolation at minimum temperatures. It prints the inner surface of the smartphone and hence easily implements the smartphones.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414603","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":"Classification and Comparison of Web Recommendation Systems used in Online Business","authors":"M. Singh, O. Rishi, Shashank Awasthi, A. Srivastava, S. Wadhwa","doi":"10.1109/ICCAKM46823.2020.9051511","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051511","url":null,"abstract":"The online businesses are spreading very fast by creating personal website for their works. Due to exponential growth of dynamic and heterogeneous information over the Internet by these websites, information overload and efficiency of the system are the big challenges for the researchers in this area. Consumer as well as enterprise both face the problems of these irrelevant information. Web Recommendation System is a fundamental tool for solving these problems. This paper discusses the details of design, implementation and efficiency of various techniques are used in the growth of the web recommendation systems. It also designs and implement dynamic recommendation system for online business using web usages mining.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128100434","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":"Intelligent Approaches for the Trust Assessment","authors":"S. Hashemi","doi":"10.1109/ICCAKM46823.2020.9051525","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051525","url":null,"abstract":"There is a need for suitable approaches to trust assessment to cover the problems of human life. Trust assessment for the information communication related to the quality of service (QoS). The server sends data packets to the client(s) according to the trust assessment. The motivation of this paper is designing a proper approach for the trust assessment process. We propose two methods that are based on the fuzzy systems and genetic algorithm. We compare the results of proposed approaches that can guide to select the proper approaches.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129756114","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":"Web Ranking of Higher Education Institutions: An SEO Analysis","authors":"Alrence S. Halibas, Anju Matthew Cherian, Indu Govinda Pillai, Leslyn Bonachita Reazol, Erbeth Gerald Delvo, Genevive Halasan Sumondong","doi":"10.1109/ICCAKM46823.2020.9051481","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051481","url":null,"abstract":"There are numerous ranking systems that provide web rankings for colleges and universities around the world. The aim of this paper is to present the findings of SEO audit and analysis of 34 HEI websites in Oman in terms of web presence and impact. The study used the SEO audit metrics-domain authority score, linking root domain, ranking keywords, and spam score which are provided by Moz. The findings revealed that only one (1) HEI has achieved a good quality for domain authority while all the others have obtained a low quality only for domain authority. The same HEI has scored high on the linking root domains and ranking keywords. However, 24 % of the HEIs have attained a zero spam score while 76% of the HEIs have attained a low spam score. The study recommends that HEIs should exert more efforts in improving their SEO to increase visibility and impact on the web.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123476110","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":"hHHO-IGWO: A New Hybrid Harris Hawks Optimizer for Solving Global Optimization Problems","authors":"D. Dhawale, Vikram Kumar Kamboj","doi":"10.1109/ICCAKM46823.2020.9051509","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051509","url":null,"abstract":"This paper proposes a hybrid meta-heuristic optimization technique that combines the benefits of Harris Hawks's optimization and Improved Grey wolf optimization. An attempt is made to develop a more efficient method for reaching an exploration to the exploitation phase. Also, hHHO-IGWO provides more scope for finding the best possible solution for solving the various optimization problems. The algorithm is tested for 23 standard benchmarked test functions and the results are verified by a comparative study with nine renowned Optimizer. The results of suggested hHHO- IGWO algorithm is found to be more efficient to provide better results in terms of convergence.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124709931","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 Novel Energy Efficient Scheme for Wireless Sensor Network","authors":"R. Yadav, Anju Mishra, A. Srivastava, M. K. Singh","doi":"10.1109/ICCAKM46823.2020.9051515","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051515","url":null,"abstract":"Energy protection is one of the major significantissues in wireless sensor networks. In WSN correspondence depends on battery worked registering and detecting gadgets. In WSN sensor systems vitality to be conveyed in an ad-hoc manner, with positive methodology, singular hubs can be to a great extent idle out of gear time-frames, however when something is distinguished at that point winding up abruptly dynamic. In WSN the real difficulties for research is conservation of energy. This work reveals the correlations between hub segments and energy. Energy conservation and Lifetime issues in WSN can resolve by proposed Efficient Energy Awareness Scheme (EESW). EESW model is based on modified Network Energy Model, new event trigger method and Location aware variable. EESW also introduced energy consumption function and threshold function for WSN. Validating the result, we have simulated our proposed algorithm in NS2 simulator and compare the EESW with Traditional Energy model based on different comparison parameters such as energy consumption, lifetime, end to end delay and packet delivery ratio. Simulation result clearly shows that the performance of EESW is much better than the traditional AODV protocol.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126727667","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":"Data Science is all Set to Revolutionize the Ultrasound Diagnosis in Medical Health Care","authors":"M. Junaid, Rajeev Kumar","doi":"10.1109/ICCAKM46823.2020.9051523","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051523","url":null,"abstract":"Ultrasound (US) with CAD system imaging is a medical diagnostic tool which has become the most commonly performed cross-sectional diagnostic imaging technique in the practice of medicine, and also the one of the most common schemes in the medical diagnostic area to detect diseases in the clinical practice. It is also cheapest, non-ionizing, reliable, portable, and capable of real-time image acquisition, safety, convenience, and low risk, live display makes it acceptance worldwide. US is oldest but with the cult of computer science, data science (machine learning, deep learning) and chip level advancement in the ultrasound devices. This Ultrasound is all set to upgrade and change according to the advancement in evolving technology, information technology with significant challenges and opportunities. High inter- and intra-operator inconsistency and limited image quality management are the few trending issues which are prime focus of the researchers in present days. As mentioned earlier the US devices due to cult introduction of the computer science and data science has become smaller, enhanced computational capability, and become very advanced. Ultrasound also can contribute significantly to decrease changeability with its advanced image processing. However, reading ultrasound imaging is little tricky, in a proposal to make it little supportive to the clinicians and to reduce the load of doctors, many ultrasound computer-aided diagnosis (CAD) systems with different segmentation, classifiers techniques have been launched. In recent years, the success of data science especially deep learning in the image classification and segmentation is very successful. This led to more and more scholars and researchers to think unanimously realizing that improvement in accuracy, Specificity, and sensitivity of the disease finding can be brought by utilizing the deep learning in the ultrasound CAD system. This paper reviews the research which focuses on the ultrasound CAD system utilizing Data science in recent years. Ultrasound CAD system are mainly 1. traditional ultrasound CAD system and deep learning ultrasound CAD system. The different segmentation techniques and the classifier employed in ultrasound CAD system are discussed. Performance of the different CAD systems with different techniques has accounted in the research paper in contrast accuracy, sensitivity, and Specificity in disease finding is noted. This paper will be useful for the researchers who focus on the ultrasound CAD system more over it is the base of the academic research for the fulfillment of the PhD research work.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133131930","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}