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Journal of computer science and systems biology最新文献

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Computer Science and Systems Biology: Integration towards Improvement 计算机科学与系统生物学:迈向改进的整合
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/JCSB.1000266
D. Rao
{"title":"Computer Science and Systems Biology: Integration towards Improvement","authors":"D. Rao","doi":"10.4172/JCSB.1000266","DOIUrl":"https://doi.org/10.4172/JCSB.1000266","url":null,"abstract":"Computer Science and Systems Biology have heralded remarkable technological advances in understanding the complex biological systems including human biochemical, molecular and neural pathways and networks. Systems biology integrates the computer applications and experimental biology in modeling’s, predictions and characterizations of complex and dynamic properties of biological systems. Particularly, multi-omics studies, high-throughput sequencing techniques and microarray techniques made possible the generation of large datasets from biological systems that could help in understanding the comprehensive molecular pathways, systems functions and behaviors. In the last decade, the computer science and systems biology approaches increased the interest in pathway based biomarker identification, identifying disease genes and drug targets, generation of global genetic interaction maps, and development of new diagnosis and therapeutics methods for deadly diseases and contemporary outbreaks. In this letter, I summarize the breakthroughs of the decade and future challenges in uncover the complex components of biological systems.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"184 1","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72672972","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
Acoustic Signal Classification for Deforestation Monitoring: Tree Cutting Problem 森林砍伐监测的声信号分类:树木砍伐问题
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/JCSB.1000269
G. Sharma
{"title":"Acoustic Signal Classification for Deforestation Monitoring: Tree Cutting Problem","authors":"G. Sharma","doi":"10.4172/JCSB.1000269","DOIUrl":"https://doi.org/10.4172/JCSB.1000269","url":null,"abstract":"This paper deals with tree cutting real-world problem, causing significant damages to forests. The sensing and classification of acoustic signal emitted during tree cutting, is used to extract information of tree cutting events using sensors. Detecting the acoustic signal due to saw scratching power level in presence of ambiance noise and the other choral noise sources is a major issue in a forest environment. An acoustic sensor experimental setup is established for capturing the acoustic signal generated due to cross cut sawing with varying distances. Based on the experimental analysis, saw scratching acoustic signal is found with appropriate for tree cutting detection. The acoustic signal pre-processing is performed with the help of a SNR algorithm. The extraction of features in frequency space is done by using modified MFCC and spectral features extraction. Modified MFCC feature based dynamic time warping (MDTW) and spectral feature based Gauss-Bayesian classifier (SGBC) are used and compared.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"51 1","pages":"178-184"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82266091","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: 4
Faster Detection of Abnormal Electrocardiogram (ECG) Signals Using Fewer Features of Heart Rate Variability (HRV) 利用较少的心率变异性(HRV)特征更快地检测异常心电图信号
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/JCSB.1000295
X. Gong, B. Long, Z. Wang, H. Zhang
{"title":"Faster Detection of Abnormal Electrocardiogram (ECG) Signals Using Fewer Features of Heart Rate Variability (HRV)","authors":"X. Gong, B. Long, Z. Wang, H. Zhang","doi":"10.4172/JCSB.1000295","DOIUrl":"https://doi.org/10.4172/JCSB.1000295","url":null,"abstract":"To reduce the effect of noise in raw Electrocardiogram (ECG) data for faster detection of cardiac arrhythmia, Heart Rate Variability (HRV) features represent good choices. This work extracted 34 popular Heart Rate Variability (HRV) features based on the MIT-BIH Arrhythmia Database. Combinations of 11 feature selection algorithms and 2 classification algorithms are used to discover the effective features of the abnormal ECG signal detection. The systematic comparisons show that the combination of 34 original features has a stable classification performance for 3 different time windows, i.e., 32 RR-intervals, 5 minutes, and 30 minutes of raw ECG records. It has been discovered that a 10-feature combination (RMSSD, SDNN, CV, TINN, HF, SampEn, SD1/SD2, VAI, ED, and DC) can rapidly classify the arrhythmia and normal state, based on the shortest ECG records (32 RR-intervals). The future work will utilize this combination of features to implement in a portable ECG equipment and clinical Arrhythmia on-line detection.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"1 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83978436","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: 2
Biometric Monitoring Using Facial Recognition, Data Collection, and Storage: Safety and Privacy Perceptions of High School Students 使用面部识别、数据收集和存储的生物特征监测:高中生的安全和隐私感知
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/jcsb.1000291
Ebsary Nj
{"title":"Biometric Monitoring Using Facial Recognition, Data Collection, and Storage: Safety and Privacy Perceptions of High School Students","authors":"Ebsary Nj","doi":"10.4172/jcsb.1000291","DOIUrl":"https://doi.org/10.4172/jcsb.1000291","url":null,"abstract":"With the advent of school shootings across the United States including the murders of seventeen Marjory Stoneman Douglas High school students and teachers; school administrators, faculty, parents, and students have extensive security and safety concerns about individuals entering and exiting school grounds. A biometric technology widely used to authenticate individuals as part of campus security and safety is facial recognition.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"214 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89182661","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
Biometric Jewelry to Rule Digital Life 生物识别珠宝将主宰数字生活
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/JCSB.1000274
Christina, S. Jayasurya, C. Sunitha
{"title":"Biometric Jewelry to Rule Digital Life","authors":"Christina, S. Jayasurya, C. Sunitha","doi":"10.4172/JCSB.1000274","DOIUrl":"https://doi.org/10.4172/JCSB.1000274","url":null,"abstract":"Modernized world has landed each and every creature of the world in a very securable environment which has paved a long way for the significance of keeping every individual in a secured place. One such modernization in providing the security is done by bio metrics. Trying to use bio metrics, a company called Token; is specialized for providing bio metric security. As an initiative to the bio metric security the company has launched a bio metric ring called Token ring which is forth coming bio metric jewelry to rule the digital life. This Token ring provides access to everything starting from the credit cards, used as door lockers and manages the passwords. It is a two factor jewelry that has fingerprint sensor which is the foremost feature that makes the ring a smart ring.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"42 1","pages":"216-218"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87278246","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
Machine Learning: Object Recognition Web Platform 机器学习:对象识别Web平台
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/jcsb.1000289
Gupta Ak, S. Gupta
{"title":"Machine Learning: Object Recognition Web Platform","authors":"Gupta Ak, S. Gupta","doi":"10.4172/jcsb.1000289","DOIUrl":"https://doi.org/10.4172/jcsb.1000289","url":null,"abstract":"Machine Learning is the backbone and most essential ingredient for working in the field of Artificial Intelligence as well as working in advance technologies. Some of the models which we already using are RNN, SPPNET. In this research paper we will be getting to know about the New Neural Model called Renshaw Model with its advantages and the web platform which makes the life easier for the user to work and understand the neural networks through machine learning. Usage of Cloud services and as well the usage of API will also be defined. The web platform is developed to tackle the issue of complexity storage, and security issue. This platform is basically running in three different formats and according to the user professionality the execution takes place. Researchers in the field of artificial intelligence can contribute and change the dimensions of the execution by designing and executing their code in swagger.api. Machine Learning: Object Recognition Web Platform","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86002101","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
Sentiment Analysis of Pharmaceutical Products Evaluation Based on Customer Review Mining 基于客户评论挖掘的药品评价情感分析
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/JCSB.1000271
K. Mahboob, F. Ali
{"title":"Sentiment Analysis of Pharmaceutical Products Evaluation Based on Customer Review Mining","authors":"K. Mahboob, F. Ali","doi":"10.4172/JCSB.1000271","DOIUrl":"https://doi.org/10.4172/JCSB.1000271","url":null,"abstract":"With the emergent of advanced technologies, several methods of extracting huge amount of information have been adopted for many applications and information processing. One of which is mining opinion (or sentiment analysis) that is useful in natural language processing, text mining, and speech recognition, etc., which is widely functional in different information industries. The Online Social Media has created new multiple avenues for sharing of different kind of information among folks for social awareness and sharing views among them. The research based in the context of customer review mining on online various pharmaceutical products evaluation with respect to the frequency of a particular medicine usage, customer personal satisfaction, influential marketing products strategy, online pharmaceutical suggestions and prescriptions, and the impact of medicines on health, etc. The research focus on sentiment analysis of multiple customer reviews on different medicines to evaluate the quality and satisfaction of that product. Further, sentiment approach has been assumed that can help pharmaceutical enterprises in improving and maintaining the quality of product services based on the review of customer. The research aims to use lexiconbased approach for sentiment classification according to positive, negative or neutral type of polarity but to a limited extent. The accuracy and reliability of results is a challenge when parsing complex sentences and words due to insufficient undistinguishable data. Sentiment Analysis of Pharmaceutical Products Evaluation Based on Customer Review Mining","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"16 1","pages":"190-194"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73414509","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: 4
Binary Transition Pattern (BTP) for Erythropoietic DNA Methylation Data 红细胞DNA甲基化数据的二进制转换模式(BTP)
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/jcsb.1000277
Najyah A. Garoot, B. G. Kim
{"title":"Binary Transition Pattern (BTP) for Erythropoietic DNA Methylation Data","authors":"Najyah A. Garoot, B. G. Kim","doi":"10.4172/jcsb.1000277","DOIUrl":"https://doi.org/10.4172/jcsb.1000277","url":null,"abstract":"Methods: Unlike the usual methods of selecting differentially methylated regions (DMR) by hypothesis statistical testing, we clustered CpG sites by their actual log2FC over time. Each cluster is represented by a 5-digit binary code. Results: We identified novel stage-specific TFBS during erythropoiesis. Our stage-specific differential methylation clusters have the ability to determine TFBS of co-regulators such as GATA1 and PU.1 at hypermethylated CpG loci.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89250486","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
Network Security and Ethical Hacking 网络安全和道德黑客
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/jcsb.1000282
Nileshkumar Pandey
{"title":"Network Security and Ethical Hacking","authors":"Nileshkumar Pandey","doi":"10.4172/jcsb.1000282","DOIUrl":"https://doi.org/10.4172/jcsb.1000282","url":null,"abstract":"Networking enabled us to be connected to each other and devices thereby making it easy to interact with devices and people but it also can be used into compromising the privacy of its user and of the people connected to it. Network security is one of the major aspect to be considered also it is one of the most invested factor in an organization. With introduction of new technologies like internet of things, AI etc. besides making our life easier can also result in compromising it if not monitored and protected in a proper manner. Network Security and Ethical Hacking","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86831550","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
The Use of Honeynets to Detect Exploited Systems Across the Wireless Networks 利用蜜网检测无线网络中被利用的系统
Journal of computer science and systems biology Pub Date : 2018-01-01 DOI: 10.4172/JCSB.1000275
I. Mahmood
{"title":"The Use of Honeynets to Detect Exploited Systems Across the Wireless Networks","authors":"I. Mahmood","doi":"10.4172/JCSB.1000275","DOIUrl":"https://doi.org/10.4172/JCSB.1000275","url":null,"abstract":"Any to internet is target of hackers and intruders. Every organization/institution system connected uses some kind of network security software to protect its data from unauthorized use. Software’s used by organization/institution are antivirus firewall etc. There are many types of services that are run on organization/institution networks and it is important to detect intrusion. Due to large bandwidth, monitoring is very hard and impossible. In developing, where the cyber-crimes are very easy to commit and there are not very strong lows Honeynet scheme, is use to help system administrator in detecting intrusion or malicious content. Honey net is so proposed solution because it helps in understanding the intention and ways attacker use to compromise security systems. In this paper a basic honeynet framework is proposed.","PeriodicalId":88542,"journal":{"name":"Journal of computer science and systems biology","volume":"46 1","pages":"219-223"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87018223","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
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