Journal of Computer Science and Technology Studies最新文献_第5页

Air Quality prediction using Multinomial Logistic Regression 利用多项逻辑回归预测空气质量

Journal of Computer Science and Technology Studies Pub Date : 2022-09-29 DOI: 10.32996/jcsts.2022.4.2.9

Ahmad Najim Ali, Ghalia Nassreddine, Joumana A. Younis

{"title":"Air Quality prediction using Multinomial Logistic Regression","authors":"Ahmad Najim Ali, Ghalia Nassreddine, Joumana A. Younis","doi":"10.32996/jcsts.2022.4.2.9","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.9","url":null,"abstract":"Nowadays, Artificial Intelligence (AI) plays a primary role in different applications like medicine, science, health, and finance. In the past five decades, the development and progress of technology have allowed artificial intelligence to take an essential role in human life. Air quality classification is an excellent example of this role. The use of AI in this domain allows humans to predict whether the air is polluted or not. In effect, monitoring air quality and providing periodic and direct statistics are essential requirements to ensure good air quality for individuals in the community. For this reason, a decision-making system is built to decide whether the air is clean or not. Based on this system's decision, necessary practices and measures are taken to improve air quality and ensure air sustainability. In this paper, the multinomial logistic regression technique is used to detect the air pollution level. The proposed method is applied to a real dataset that consists of 145 responses recorded from an air quality multi-sensor device containing chemical sensors. The used device was placed in New York City, USA, from 1/1/2021 to 7/1/2021 (one week) and is freely available for air quality sensors deployed in the field. The result shows the efficacity of this method in air pollution prediction.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129949273","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

Design and Build PMB System with Prediction of Prospective Students Accepted or Withdrawal Using Random Forest Algorithm 利用随机森林算法，设计并建立具有录取或退学预测的PMB系统

Journal of Computer Science and Technology Studies Pub Date : 2022-09-16 DOI: 10.32996/jcsts.2022.4.2.8

Puteri Sejati

引用次数: 0

E-learning Gate of Success in Crisis: Iraqi Universities 危机中电子学习的成功之门:伊拉克大学

Journal of Computer Science and Technology Studies Pub Date : 2022-08-31 DOI: 10.32996/jcsts.2022.4.2.7

A. Basha

{"title":"E-learning Gate of Success in Crisis: Iraqi Universities","authors":"A. Basha","doi":"10.32996/jcsts.2022.4.2.7","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.7","url":null,"abstract":"The article shows intensively how the Iraqi universities struggled and exceeded successfully and academically through the academic years from 2019 to 2022 and still strive to cope with the Coronavirus pandemic crisis. More than 100 Iraqi universities in which approximately 50,000 academics and 800,000 students started to study every year periodically during the Corona pandemic via e-learning and connected respectively with the ministry of Iraqi higher education (IHE) to drive the new trail with e-education from the homes and have never stopped. In spite of Iraqi universities having weaknesses in infrastructures for e-learning, the majority of universities work and fully invest in e-platforms ( MOOC) like Google classroom, Coursera and high support of social media, consequently best criteria for academic and students that have been accomplished via e-exams and study. Regulations of public health and the ministry of Iraqi health created a crucial decision to convert toward e-learning as a gate of success in crisis to do e-exams and manage the mechanism of education because it was difficult to return the Iraqi universities to their ordinary exams and began training committees on e-exams and e- procedures to success the e-education in whole universities of Iraq, especially higher education. This paper showed the results IHE relates to applying high standards in e-education during the academic years from 2019 to 2022 in the coronavirus pandemic crisis. In this respect, the Iraqi universities present strong evidence to prepare and accomplish a roadmap to implement blended learning through successful e-learning in the current time and in the future toward lifelong in universities of Iraq.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124111630","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

Detection Technology of Social Robot: Based on the Interpretation of Botometer Model 社交机器人的检测技术:基于Botometer模型的解释

Journal of Computer Science and Technology Studies Pub Date : 2022-08-30 DOI: 10.32996/jcsts.2022.4.2.6

Jiawen Tian, Yiting Huang, Dingyuan Zhang

{"title":"Detection Technology of Social Robot: Based on the Interpretation of Botometer Model","authors":"Jiawen Tian, Yiting Huang, Dingyuan Zhang","doi":"10.32996/jcsts.2022.4.2.6","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.6","url":null,"abstract":"In the era of Web 2.0, social media have been a significant place for democratic conversation about social or political issues. While in many major public events like the Russia-Ukraine war or U.S. Presidential election, enormous social bots were found on Twitter and Facebook, putting forward public opinion warfare. By creating the illusion of grassroots support for a certain opinion, this kind of artificial intelligence can be exploited to spread misinformation, change the public perception of political entities or even promote terrorist propaganda. As a result of that, exploiting detection tools has been a great concern since social bots were born. In this article, we focused on Botometer, a publicly available detection tool, to further explain the AI technologies used in identifying artificial accounts. By analyzing its database and combing the previous literature, we explained the model from the aspect of data augmentation, feature engineering, account characterization, and Ensemble of Specialized Classifier (ESC). Considering the consistent evolution of social bots, we propose several optimization suggestions and three other techniques or models to improve the accuracy of social bots detection.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134185982","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

Text-To-Speech Software for Promoting EFL Freshman Students’ Decoding Skills and Pronunciation Accuracy 提高大一英语学生译码能力和发音准确性的语转语音软件

Journal of Computer Science and Technology Studies Pub Date : 2022-08-09 DOI: 10.32996/jcsts.2022.4.2.4

Reima Al-Jarf

{"title":"Text-To-Speech Software for Promoting EFL Freshman Students’ Decoding Skills and Pronunciation Accuracy","authors":"Reima Al-Jarf","doi":"10.32996/jcsts.2022.4.2.4","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.2.4","url":null,"abstract":"Two groups of freshman students, enrolled in a Vocabulary I and Reading I courses, participated in the study. Before instruction, both groups took a recognition (vocabulary) and a production (oral reading) pre-test. Comparisons of the pre-test scores showed no significant differences between the experimental and control group in decoding skills and pronunciation proficiency. Then, both groups were exposed to the same in-class vocabulary and reading instruction. They covered the same lessons, skills, exercises, and tests. Since freshman students have problems in producing phonemes, consonant clusters, word stress and lack skill in associating written graphemes with their corresponding phonemes, read word by word and lack oral reading fluency, the experimental group used a text-to-speech (TTS) software called NaturalReader. Every week the students typed or copied and paste the lessons they took in class from the textbook into NaturalReader and practiced listening to the lessons read by the software. They could listen to the text as many times as they needed in the language lab or at home and could adjust the software reading speed. Every 4 weeks, experimental students took an oral reading and a vocabulary test and at the end of the semester (after 12 weeks), both groups took a recognition (vocabulary) and a production (oral reading) posttest. Results showed significant differences between the experimental and control groups as a result of using the NaruralReader. Improvement was noted in the decoding skill enhancement, reading fluency and pronunciation accuracy but not in vocabulary knowledge. Results showed slow but gradual improvement. Significant improvement was noted after 8 and 12 weeks. There was a positive correlation between the number of lessons and texts practiced and weekly practice time and decoding and pronunciation proficiency posttest scores. The students reported positive attitudes towards practicing decoding and pronunciation via NaturalReader. Procedures, results and recommendations are given in detail.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124836468","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: 7

Comparison of RNN, LSTM, and GRU Methods on Forecasting Website Visitors RNN、LSTM和GRU预测网站访客的比较

Journal of Computer Science and Technology Studies Pub Date : 2022-08-01 DOI: 10.32996/jcsts.2022.4.2.3

I. Astawa, Putu Bagus Arya Pradnyana, I. K. Suwintana

引用次数: 1

Sentiment Analysis of Tourism Objects on Trip Advisor Using LSTM Method 基于LSTM方法的Trip Advisor旅游对象情感分析

Journal of Computer Science and Technology Studies Pub Date : 2022-07-06 DOI: 10.32996/jcsts.2022.4.2.1

Novita Hanafiah, Yanto Setiawan, Aldi Buntaran, Muhammad Reynaldi

引用次数: 0

Exploring Saudi Arabia Individuals' Attitudes toward Electronic Personal Health Records 探索沙特阿拉伯人对电子个人健康记录的态度

Journal of Computer Science and Technology Studies Pub Date : 2022-06-10 DOI: 10.32996/jcsts.2022.4.1.10

A. Alhur

{"title":"Exploring Saudi Arabia Individuals' Attitudes toward Electronic Personal Health Records","authors":"A. Alhur","doi":"10.32996/jcsts.2022.4.1.10","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.1.10","url":null,"abstract":"This study is one of the few studies that examined the perspectives and expectations of Saudi Ariba patients regarding ePHRs. Participants expressed a greater interest in ePHRs than participants in other studies in developed countries. The majority of participants would like to use ePHRs at least once per month. Moreover, respondents believe that ePHRs help access images and blood test results, and information about the devices they use to track their health. For example, the blood glucose checkers. The study also pointed out that ePHRs are perceived as valuable to patients' health. However, some patients expressed concerns regarding the security of their online records. However, the vast majority of patients viewed ePHRs as enhancing patient privacy. The individuals desire access to information about their health contained within their ePHRs, including medication lists, doctor lists, medical conditions, and surgical histories. The respondents indicated that they are currently performing some tasks electronically, such as requesting appointments, reports, and medication refills, and referring patients through ePHRs, at an acceptable rate of 42.1%. Further research is needed to assess the quality of data entered, validity, and accuracy of the ePHR.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134380583","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

Watering Strawberry (Fragaria X Anannasa) Plants in a Greenhouse Using IoT-Based Drip Irrigation 利用物联网滴灌技术浇灌温室草莓(Fragaria X Anannasa)植株

Journal of Computer Science and Technology Studies Pub Date : 2022-05-15 DOI: 10.32996/jcsts.2022.4.1.9

I. N. Sukarma, I. W. Ardana, I. G. P. Mastawan, I. Yasa, I. Purbhawa

{"title":"Watering Strawberry (Fragaria X Anannasa) Plants in a Greenhouse Using IoT-Based Drip Irrigation","authors":"I. N. Sukarma, I. W. Ardana, I. G. P. Mastawan, I. Yasa, I. Purbhawa","doi":"10.32996/jcsts.2022.4.1.9","DOIUrl":"https://doi.org/10.32996/jcsts.2022.4.1.9","url":null,"abstract":"Strawberries are horticultural plants that are relatively sensitive to excess and lack of water; therefore, it is necessary to provide drip irrigation with an IoT-based control system to maintain the availability of water for plants to support good plant growth and facilitate the work of strawberry farmers. The purpose of using an IoT-based watering control system on strawberry plants (Fragaria X Annanasa) based on water needs in plants is used to support the development and progress of drip irrigation systems and smart farming system technology in modern agriculture. The research methodology is the preparation of tools and materials, assembling and testing the control system, placing sensors in three different scenarios, and observing the height and number of leaves of strawberry plants with different watering frequencies. The results of the design and testing show that the placement of the sensor on the planting media produces a reading value that is close to the actual volume of water by producing a volume of 51.6 ml of water, which is 79.51% of the weight of the growing media used. And for the growth of plants, watering every two days was better, with the average height and number of leaves for strawberry plants being 0.4 cm and 1.78 strands.","PeriodicalId":417206,"journal":{"name":"Journal of Computer Science and Technology Studies","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125234179","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

A Model for Viewpoint Control in Requirements Elicitation 需求引出中的视点控制模型

Journal of Computer Science and Technology Studies Pub Date : 2022-02-19 DOI: 10.32996/jcsts.2022.4.1.8

M. Messaoudi

引用次数: 0