Journal of Biomolecular Techniques最新文献_第9页

Improve the Positioning Accuracy for Indoor Applications Based on Hyperbolic Method with Optimum Measurement 基于最优测量的双曲线法提高室内定位精度

Journal of Biomolecular Techniques Pub Date : 2023-04-02 DOI: 10.51173/jt.v5i1.812

Noor N. Abed, Mahmood F. Mosleh, Faeza A. Abed, Ali A. Abdullah, Atta Ullah

引用次数: 0

Design a Dual Polarizations MIMO Antenna Based on Decoupling Elements for 5G Smart-Phones 基于解耦元件的5G智能手机双极化MIMO天线设计

Journal of Biomolecular Techniques Pub Date : 2023-04-01 DOI: 10.51173/jt.v5i1.901

Haider Saad, Mahmood F. Mosleh, Raed Abd-Alhameed

{"title":"Design a Dual Polarizations MIMO Antenna Based on Decoupling Elements for 5G Smart-Phones","authors":"Haider Saad, Mahmood F. Mosleh, Raed Abd-Alhameed","doi":"10.51173/jt.v5i1.901","DOIUrl":"https://doi.org/10.51173/jt.v5i1.901","url":null,"abstract":"This paper suggests a compact linear and circular polarization MIMO antenna for sub-6 GHz 5G smartphones. The proposed design can be divided into three parts: Firstly, a linear polarized dipole antenna is presented with dimensions of 1×33.7×32.5mm3 and exhibits an impedance bandwidth (IBW) of 3.24GHz ranging from 3.3GHz to 6.6GHz at S11˂-10dB. The second part includes a circular polarization CPW-Fed antenna with dimensions of 1×23.2×30mm3. The IBW of the CPW antenna is more than 4GHz, starting from 3.9GHz to more than 8GHz at an S11˂-10dB. The 3-dB axial ratio for the CP CPW antenna ranges from 4GHz to 7.38GHz. Finally, a combination of LP and CP antennas is presented to form a dual polarization MIMO system. A MIMO system consists of 5 elements; 4 elements are LP and 1 element is a CP antenna. The size of the MIMO system is 1×82.5×150mm3 printed on an FR-4 substrate. Two impedance bandwidths are found due to the use of two antenna types. The first one (S11, S22, S44, S55) equals 3.44GHz while the second (S33) equals 4.33GHz. HFSS is used for designing and simulating the proposed structures, while CST is used for verifying the results.","PeriodicalId":39617,"journal":{"name":"Journal of Biomolecular Techniques","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86728468","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

Hybrid Lossless Compression Techniques for English Text 英文文本的混合无损压缩技术

Journal of Biomolecular Techniques Pub Date : 2023-04-01 DOI: 10.51173/jt.v5i1.1059

Jannat Tariq, Mahmood F. Mosleh, Maha Abdulameer, Huthaifa A. Obeidat, Omar A. Obeidat

引用次数: 0

Evaluation of Water Quality at the Confluence Region of Diyala and Tigris Rivers Based on the Weighted Arithmetic Method 基于加权算法的迪亚拉河与底格里斯河汇流区水质评价

Journal of Biomolecular Techniques Pub Date : 2023-04-01 DOI: 10.51173/jt.v5i1.1088

Khadeeja G. Sabeeh, Mustafa T. Mustafa, Alhassan H. Ismail, Corina Boncescu

{"title":"Evaluation of Water Quality at the Confluence Region of Diyala and Tigris Rivers Based on the Weighted Arithmetic Method","authors":"Khadeeja G. Sabeeh, Mustafa T. Mustafa, Alhassan H. Ismail, Corina Boncescu","doi":"10.51173/jt.v5i1.1088","DOIUrl":"https://doi.org/10.51173/jt.v5i1.1088","url":null,"abstract":"This study is conducted to assess the water quality index (WQI) of the Diyala and Tigris River confluence region south of Baghdad (Al-Tuwaitha), based on the Weighted Arithmetic method. Sixteen samples of water were collected from different location in the region through two periods 5/11/2021 and 13/3/2022. Water quality parameters such as (PH, EC, TDS, TH, Ca, Mg, Cl, Turbidity, ALK, SO4, HCO3, Na, and K) were used to evaluate WQI in the study area.\u0000The final results showed that the water was not suitable for drinking due to the high concentration of water quality parameters. In the 5 November 2021, the water quality in the study area was classified into (good, poor, very poor, and polluted) where the percentages of the above classes were 4%, 6%, 39%, and 51% respectively, while the percentages for the season 13thMarch 2022 were 1%, 41%, and 58% with very poor, polluted, and very polluted class, respectively.\u0000The water was not suitable for drinking due to the high concentration of water quality parameters in most locations in the study area. There are many sources of pollution in the region that dump their harmful waste into the river, which led to increase the concentrations of water quality parameters in most locations of study area.","PeriodicalId":39617,"journal":{"name":"Journal of Biomolecular Techniques","volume":"262 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76630781","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: 1

Automated Computer Vision System for Urine Color Detection 尿液颜色检测的自动计算机视觉系统

Journal of Biomolecular Techniques Pub Date : 2023-04-01 DOI: 10.51173/jt.v5i1.896

Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera

{"title":"Automated Computer Vision System for Urine Color Detection","authors":"Ban Shamil Abdulwahed, Ali Al-Naji, Izzat Al-Rayahi, Ammar Yahya, Asanka G. Perera","doi":"10.51173/jt.v5i1.896","DOIUrl":"https://doi.org/10.51173/jt.v5i1.896","url":null,"abstract":"Urine color analysis is one of the most helpful indicators of health status, and any changes in urine color might be a symptom of serious disease, dehydration of the body, or caused by drugs. To get better assistance for urine color detection in the proposed system, a urine color automatic identification has been developed based on computer vision. The proposed system uses a web camera to capture an image in real-time, analyze it, and then classify the color of urine by using the random forest (RF) algorithm and show the result via the Graphical User Interface (GUI). In addition, the proposed system can send the results to the mobile phone of the patient or care provider by using an Arduino microcontroller and GSM module. Moreover, sending a voice message about the color of urine is related to pathological conditions. The results showed that the proposed system has high accuracy (approximately about 97%) in detecting urine color under different light conditions, with low cost, short time, and easy implementation. In the comparison with the current methods the proposed system has maximum accuracy and minimum error rate. This methodology can pave the way for an additional case study in medical applications, particularly in diagnosis, and patient health monitoring.","PeriodicalId":39617,"journal":{"name":"Journal of Biomolecular Techniques","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83259251","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: 1

Connect, Collaborate, and Succeed: The Ninth Annual Meeting of the Southeastern Association of Shared Resources (SEASR) Nashville, TN, USA, June 8-10, 2022. 连接、协作和成功:第九届东南共享资源协会年会(SEASR)将于2022年6月8日至10日在美国田纳西州纳什维尔举行。

Journal of Biomolecular Techniques Pub Date : 2023-03-31 DOI: 10.7171/3fc1f5fe.283433d3

Pritha Bagchi, Nawal M Boukli, Natasha Browner, Deidre Daria, Lyra Griffiths, Tania E Mesa, John Phipps, Aaron Pitre, Jenny Schafer, Thayumanasamy Somasundaram, Tiffany N Seagroves

引用次数: 0

Computer Vision System for Facial Palsy Detection 面瘫检测的计算机视觉系统

Journal of Biomolecular Techniques Pub Date : 2023-03-31 DOI: 10.51173/jt.v5i1.1133

Ali Saber Amsalam, Ali Al-Naji, Ammar Yahya Daeef, Javaan Chahl

{"title":"Computer Vision System for Facial Palsy Detection","authors":"Ali Saber Amsalam, Ali Al-Naji, Ammar Yahya Daeef, Javaan Chahl","doi":"10.51173/jt.v5i1.1133","DOIUrl":"https://doi.org/10.51173/jt.v5i1.1133","url":null,"abstract":"Facial palsy (FP) is a disorder that affects the seventh facial nerve, which makes the patient unable to control facial movements and expressions with other vital activities. It affects one side of the face, and it is usually diagnosed by the asymmetry of the two sides of the face through visual inspection by a doctor. However, the visual inspection is human-based, which is prone to errors because the doctor is exposed to omission due to fatigue and work stress. Therefore, it is important to develop a new method for detecting FP through artificial intelligence and use a more accurate computerized system to reduce the effort and cost of patients and increase the accuracy of diagnosis. This work aims to establish a safe, useful and high-accuracy diagnostic system for FP that can be used by the patient and proposes to detect FP using a digital camera and deep learning techniques automatically. The system could be used by the patient himself at home without needing to visit the hospital. The proposed system trained 570 images, including 200 images of FP palsy. The proposed FP system achieved an accuracy of 98%. This confirms the effectiveness of the proposed system and makes it an efficient medical examination tool for detecting FP.","PeriodicalId":39617,"journal":{"name":"Journal of Biomolecular Techniques","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81189110","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

Formability, Mechanical and Chemical Properties Assessment for High Strength AA7075 Subjected to Annealing Heat Treatment 高强度AA7075退火热处理的成形性、力学和化学性能评价

Journal of Biomolecular Techniques Pub Date : 2023-03-31 DOI: 10.51173/jt.v5i1.1107

Naseer Malik Abbas, Zahraa Thamer Abdulwahid, Asmaa Ali Hussien, S.V. Konovalov, Hamid M. Mahan

引用次数: 1

Article Watch: April, 2023. 文章观察:2023年4月。

Journal of Biomolecular Techniques Pub Date : 2023-03-31 DOI: 10.7171/3fc1f5fe.d658481f

Clive Slaughter

引用次数: 0

Computer-Aid System for Automated Jaundice Detection 黄疸自动检测计算机辅助系统

Journal of Biomolecular Techniques Pub Date : 2023-03-31 DOI: 10.51173/jt.v5i1.1128

Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, J. Chahl

{"title":"Computer-Aid System for Automated Jaundice Detection","authors":"Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, J. Chahl","doi":"10.51173/jt.v5i1.1128","DOIUrl":"https://doi.org/10.51173/jt.v5i1.1128","url":null,"abstract":"At the beginning of their lives, newborns may have a widespread condition known as Jaundice or Hyperbilirubinemia. High levels of bilirubin in the blood are the primary cause of jaundice. Severe cases of jaundice may cause acute bilirubin encephalopathy due to the toxicity of bilirubin to the cells of the brain, which may lead to kernicterus. Kernicterus causes several symptoms, including a permanent upward look, loss of hearing, and repetitive and uncontrolled movements. Therefore, diagnosing this condition at the appropriate time helps to prevent chronic effects. In this study, jaundice or hyperbilirubinemia is diagnosed using a computer vision system based on a random forest algorithm. The system comprises a digital HD camera, a computer device with a Matlab application installed to analyze and detect the skin color changes of the infant, and an Arduino Uno microcontroller to control an LED ultraviolet light. A set of neonate images were collected to train the random forest algorithm, including 374 for normal and 137 for jaundiced infants. |The experimental results using the random forest algorithm for classification reached an accuracy of 98.4375%. The results of this study are promising and open doors for new monitoring applications in various medical diseases detection with a high degree of accuracy.","PeriodicalId":39617,"journal":{"name":"Journal of Biomolecular Techniques","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77536704","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: 1