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Investigation into Smart Healthcare Monitoring System in an IoT Environment 物联网环境下智能医疗监控系统研究
Pub Date : 2022-06-30 DOI: 10.56532/mjsat.v2i2.53
Salini Pradhan, Ahmad Anwar Zainuddin, Rohilah Sahak, Muhammad Farhan Affendi Mohamad Yunos
Continuous monitoring of progress of a clinical trial is known as health monitoring. It is to assure compliance with policy, best clinical practice, regulatory norms, and standard operating procedures. Monitoring is vital in several health settings. This creates an environment where physician and patient can engage. The doctor may also be up to date with the current patient’s health status. Sensor initialization is this system's first stage. This project includes of many sensor kinds such as blood pressure sensor, temperature sensor, pulse rate sensor. The sensor is then connected to the Raspberry Pi 3 Model B+ which transmits a signal over the internet allowing the doctor to interact with patient data. All sensor data is stored in a cloud database. If the sensor value exceeds the threshold sensor value and the alert email is sent to the doctor and caretaker, then a precautionary notification is sent to the patient. Doctor and patient can interact through a user application where the doctor can even write the patient's prescription. This approach can monitor several patients in severe conditions and save time. This project provides low-cost monitoring from one's home. This is a secure and reliable project that helps patients worldwide.
对临床试验进展的持续监测称为健康监测。它是为了确保遵守政策、最佳临床实践、监管规范和标准操作程序。监测在若干卫生环境中至关重要。这创造了一个医生和病人可以参与的环境。医生也可以及时了解当前病人的健康状况。传感器初始化是该系统的第一阶段。该项目包括多种传感器,如血压传感器,温度传感器,脉搏率传感器。然后将传感器连接到树莓派3型号B+上,通过互联网传输信号,使医生能够与患者数据进行交互。所有传感器数据都存储在云数据库中。如果传感器值超过阈值,并向医生和护理人员发送警报电子邮件,然后向患者发送预防性通知。医生和病人可以通过用户应用程序进行交互,医生甚至可以为病人开处方。这种方法可以监测几个病情严重的病人,节省时间。这个项目提供了低成本的家庭监控。这是一个安全可靠的项目,可以帮助世界各地的患者。
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引用次数: 1
Impact of Palm Kernel Oil Mill Effluent on the Soil's Physicochemical Characteristics and Growth of Tomato Plant 棕榈仁油厂废水对土壤理化特性及番茄植株生长的影响
Pub Date : 2022-06-28 DOI: 10.56532/mjsat.v2i2.43
S. Onuorah, Adaeze Nwanyanwu, Patrice Okoye
Effluent is wastewater flowing out of a sewer which constitutes environmental problems ranging from long-term ecological damage to increased water-borne diseases. In Nigeria, palm kernel oil is extracted from oil palm fruits in oil mills and the effluent is discharged without treatment to the soil in the vicinity of such mills. The effluent-receiving soil has been observed not to support the growth of vegetation. Hence in this work, the impact of palm kernel oil mill effluent on the soil physicochemical characteristics and growth of tomato plant was determined and compared with the effluent discharge limit established by the Federal Environmental Protection Agency. Samples of untreated and treated effluent, untreated and treated effluent-polluted soil and unpolluted soil were used for the study. The physicochemical analysis was carried out using standard physicochemical methods. The physicochemical values of the untreated effluent, except the pH, which was acidic, were higher than those of the treated effluent. Most of the physicochemical values of the untreated effluent-polluted soil were higher than those of the treated effluent-polluted soil and the unpolluted soil. The tomato plant grown in the unpolluted soil had better growth characteristics and yielded more fruits than those grown in the treated effluent-polluted soil. In addition, the tomato plant grown in the untreated effluent-polluted soil showed the lowest growth characteristics and yielded no fruits due to its elevated level of heavy metals and total petroleum hydrocarbons. The study showed that the untreated palm kernel oil mill effluent had a negative impact on the soil's physicochemical and growth characteristics of the tomato plant. Therefore, the effluent must be adequately treated to remove hazardous substances before its discharge into the terrestrial environment.
污水是指从下水道流出的废水,造成从长期生态破坏到水媒疾病增加等环境问题。在尼日利亚,棕榈仁油是在油厂从油棕果实中提取的,废水未经处理就排放到这些油厂附近的土壤中。已观察到接收废水的土壤不支持植被的生长。因此,本研究确定了棕榈仁油厂废水对土壤理化特性和番茄植株生长的影响,并与美国联邦环境保护局规定的废水排放限值进行了比较。采用未经处理和处理的废水、未经处理和处理的废水污染土壤和未污染土壤样品进行研究。采用标准理化方法进行理化分析。除pH值呈酸性外,未处理废水的理化值均高于处理后的废水。未经处理的污水污染土壤的大部分理化值高于处理后的污水污染土壤和未污染土壤。在未污染土壤中生长的番茄植株比在污水污染土壤中生长的番茄植株具有更好的生长特性和产量。此外,在污水污染土壤中生长的番茄植株由于重金属和总石油烃含量升高,其生长特征最低,不结果实。研究表明,未经处理的棕榈仁油厂废水对番茄植株的土壤理化特性和生长特性有负面影响。因此,废水在排入陆地环境之前必须经过充分处理,以去除有害物质。
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引用次数: 0
An Insight of Novel Coronavirus (Covid-19) Cases in Malaysia 马来西亚新型冠状病毒(Covid-19)病例分析
Pub Date : 2022-06-06 DOI: 10.56532/mjsat.v2i2.52
Salini Pradhan, Nuaomi Jusat
In December 2019, a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic broke out in Wuhan, Hubei Province, China, and quickly spread worldwide. The World Health Organization has named this disease COVID-19. To date (February 9, 2022), a total of 401,176,571 cases of COVID-19; 5,782,794 cases of deaths, and 320,961,162 recovered cases have been reported worldwide. While there are approximately 83,071 active cases in Malaysia, 32,056 have died so far, and 2,824,071 have recovered. The COVID-19 dataset used was from the open data which covers over a certain period during the year 2020 and 2021. The data comprises of the cumulative number of confirmed, recovered, and fatalities cases. These data were used to determine several important insights, such as how the virus spread in Malaysia? How widespread has the virus been in this country? Does COVID-19 national lockdowns and self-isolation affect COVID-19 transmission in this country?
2019年12月,中国湖北省武汉市爆发新型严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)疫情,并迅速在全球蔓延。世界卫生组织将这种疾病命名为COVID-19。截至目前(2022年2月9日),累计确诊病例401176571例;全世界报告的死亡病例为5,782,794例,康复病例为320,961,162例。虽然马来西亚约有83071例活跃病例,但迄今已有32056人死亡,2824071人康复。所使用的COVID-19数据集来自开放数据,涵盖2020年和2021年的某一时期。这些数据包括确诊、康复和死亡病例的累计数量。这些数据被用来确定几个重要的见解,例如病毒如何在马来西亚传播?病毒在这个国家的传播范围有多广?COVID-19国家封锁和自我隔离是否影响该国的COVID-19传播?
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引用次数: 0
Investigation of Prescription Data to Define the Disease Demography of Bangladesh 对处方数据的调查,以确定孟加拉国的疾病人口统计学
Pub Date : 2022-05-29 DOI: 10.56532/mjsat.v2i2.44
Md. Asiful Islam, C. A. Chowdhury
The prosperity of a country is highly dependent on its public health. Bangladesh is very keen to achieve a sustainable public health sector as a developing country. Bangladesh reached the goal of MDG (Millennium Development Goals) and pursued the goal of SDG (Sustainable Development Goals). Without sound public health, it is impossible to achieve SDG. So, Bangladesh is investing a good amount of money in the public health sector. As a part of this grand vision, this research has been conducted on the disease demography of Bangladesh. An interested pharmaceutical company collected prescription data from all administrative districts of Bangladesh, and weather and population data have been collected as a part of this work. An in-depth analysis of these data has been performed to discover insights into Bangladesh’s disease demography. Finally, a set of recommendations has been presented to assist the public health sector of Bangladesh.
一个国家的繁荣在很大程度上取决于它的公共卫生。作为一个发展中国家,孟加拉国非常渴望实现可持续的公共卫生部门。孟加拉国实现了MDG(千年发展目标)的目标,并追求SDG(可持续发展目标)的目标。没有健全的公共卫生,就不可能实现可持续发展目标。因此,孟加拉国在公共卫生部门投入了大量资金。作为这一宏伟愿景的一部分,对孟加拉国的疾病人口进行了这项研究。一家感兴趣的制药公司收集了孟加拉国所有行政区的处方数据,并收集了天气和人口数据作为这项工作的一部分。对这些数据进行了深入分析,以发现对孟加拉国疾病人口统计的见解。最后,提出了一套建议,以协助孟加拉国的公共卫生部门。
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引用次数: 0
Physicochemical Quality of Borehole Water Stored in Household Plastic Containers 家用塑料容器储水的理化性质
Pub Date : 2022-05-10 DOI: 10.56532/mjsat.v2i2.39
S. Onuorah
Good quality water is indispensable to human and animal existence. Storage facilities are commonly used to ensure sufficient water, predominantly where piped water supply operates occasionally. Therefore, water samples from five boreholes were analyzed before and during storage for three weeks in household plastic containers using standard physicochemical methods. There was an increase in pH, temperature, electrical conductivity, total dissolved solids, total solids, turbidity, nitrates, phosphates, sulfates, alkalinity, copper, and lead and a decrease in dissolved oxygen, chlorides, total hardness, total acidity, zinc, cadmium, iron, and chromium. In contrast, the total suspended solids remained unchanged during storage. The physicochemical parameters were within the World Health Organization Standard for drinking water quality except for the pH, total acidity, cadmium, and lead levels during storage. This study showed that water storage for three weeks in plastic household containers adversely affected the physicochemical quality of the water. Therefore, water must not be stored for an extended period in plastic containers to avoid deterioration in its quality.
良好的水质是人类和动物生存所不可缺少的。储存设施通常用于确保有足够的水,主要是在偶尔有管道供水的地方。因此,在家用塑料容器中储存三周之前和期间,使用标准的物理化学方法分析了五个钻孔的水样。pH值、温度、电导率、总溶解固体、总固体、浊度、硝酸盐、磷酸盐、硫酸盐、碱度、铜和铅均有所增加,而溶解氧、氯化物、总硬度、总酸度、锌、镉、铁和铬均有所减少。相比之下,总悬浮固体在储存过程中保持不变。除贮存期间的pH值、总酸度、镉和铅含量外,理化参数均符合世界卫生组织饮用水水质标准。这项研究表明,在家用塑料容器中储存三周的水会对水的理化质量产生不利影响。因此,水不能长时间储存在塑料容器中,以避免其质量恶化。
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引用次数: 0
Integration of Casual Video Games During Online Learning to Relief Stress in Students 休闲电子游戏在网络学习中的整合缓解学生压力
Pub Date : 2022-03-27 DOI: 10.56532/mjsat.v2i1.38
Vickneish Vimalanathan, Vickineshwari Kunasegaran, Kavilasini Alagenthran, R. N. Balamurugan, P. Sandrasaigaran
COVID-19 pandemic has impacted all facets of society, including students, as daily learning activities were severely affected while the face-to-face classes were forced to be held online. As a result, students underwent tremendous stress and were exposed to severe mental health conditions. Thus, this study investigates how the integration of casual video games into online learning can relieve stress among science students. An online survey was designed and disseminated to students via social media. The respondents were pre-assessed for stress and emotional conditions during their online learning. Then, the respondents were instructed to watch a tutorial video from YouTube and play a quiz-like casual video game that we had developed. The respondents were then reassessed for stress and emotional level (post-assessment) to understand how casual video games can relieve their anxiety in online learning. All questionnaires in this survey were tested for the Likert scale, with one being strongly disagreed and five strongly agreed. Similar pre-and post-survey questionnaires were designed and tested against academicians for their perceived efficiency of casual video games in online learning. The outcome from this study has shown significant improvements in students' stress and mental emotional levels when casual video game is introduced as part of their online lesson. On the other hand, the academicians perceived that online teaching alone is as effective as casual video games during online learning. However, the academicians also perceived that casual video games could significantly reduce students' stress and emotional during online classes. We propose that casual video games are considered an integral tool for online teaching and learning as they can significantly reduce students' stress in online learning during the Covid-19 lockdown.
新冠肺炎疫情对包括学生在内的社会各方面都产生了影响,日常学习活动受到严重影响,面对面的课程被迫在网上进行。因此,学生们承受着巨大的压力,面临着严重的心理健康问题。因此,本研究探讨了将休闲电子游戏整合到在线学习中如何缓解理科生的压力。设计了一项在线调查,并通过社交媒体向学生传播。在在线学习期间,对受访者的压力和情绪状况进行了预评估。然后,我们指示受访者观看YouTube上的教程视频,并玩我们开发的一款类似测验的休闲电子游戏。然后对受访者的压力和情绪水平(后评估)进行重新评估,以了解休闲电子游戏如何缓解他们在在线学习中的焦虑。本次调查的所有问卷都进行了李克特量表测试,1人强烈不同意,5人强烈同意。我们设计了类似的调查前和调查后问卷,并测试了学者们对在线学习中休闲电子游戏的感知效率。这项研究的结果表明,当休闲电子游戏被引入他们的在线课程时,学生的压力和心理情绪水平有了显著的改善。另一方面,学者们认为,在在线学习中,单独的在线教学与休闲视频游戏一样有效。然而,学者们也意识到,休闲电子游戏可以显著减轻学生在在线课堂上的压力和情绪。我们建议将休闲视频游戏视为在线教学不可或缺的工具,因为它们可以显着减轻学生在新冠肺炎封锁期间在线学习的压力。
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引用次数: 0
Identifying Lung Cancer Using CT Scan Images Based on Artificial Intelligence 基于人工智能的CT扫描图像识别肺癌
Pub Date : 2022-03-16 DOI: 10.56532/mjsat.v2i1.34
MD. Ismail Hossain Sadhin, Methila Farzana Woishe, Nila Sultana, Tamanna Zaman Bristy
Lung cancer is among the leading cause of death among men and women. Early detection of lung cancers can increase the possibility of survival amongst patients. The preferred 5-years survival rate for lung most cancers sufferers will increase from 16% to 50% if the disease is detected on time. Computerized tomography (CT) is frequently used for diagnosis and is more efficient than X-ray. However, the images need to be reviewed by a qualified physician who specializes in interpreting the CT scan. This may lead to misinterpretation and conflicting reports among physicians. Therefore, a lung cancer detection system that uses image processing methods to categorize lung cancer in CT images will be more consistent and precise. This paper presents a lung cancer detection system using the Artificial Intelligence (AI) method. The study uses Median, Gaussian, and Watershed segments to reduce noisy and shredded CT images. Then, the Weight Optimization Neural Network method was used to improve accuracy and reduce the computational time. The results were compared with previous works and shows higher accuracy and shorter computational time. 
肺癌是男性和女性死亡的主要原因之一。肺癌的早期发现可以增加患者生存的可能性。如果及时发现,大多数肺癌患者的5年生存率将从16%增加到50%。计算机断层扫描(CT)常用于诊断,比x射线更有效。然而,这些图像需要由一位有资质的医生来检查,这位医生专门负责解释CT扫描的结果。这可能导致医生之间的误解和相互矛盾的报告。因此,使用图像处理方法对CT图像中的肺癌进行分类的肺癌检测系统将更加一致和精确。本文介绍了一种基于人工智能(AI)方法的肺癌检测系统。该研究使用中值分割、高斯分割和分水岭分割来减少CT图像的噪声和碎片。然后,采用权值优化神经网络方法提高准确率,减少计算时间。结果表明,该方法具有较高的计算精度和较短的计算时间。
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引用次数: 0
Investigation of Computing Students’ Performances in a Fully Online Environment During COVID-19 Pandemic COVID-19大流行期间计算机专业学生在全在线环境下的表现调查
Pub Date : 2022-03-15 DOI: 10.56532/mjsat.v2i1.36
Syed Nafiul Shefat, Md. Golam Ahsan Akib, Nyme Ahmed, Rifat-Ibn-Alam, Dr. Dip Nandi
COVID-19 hit the world unexpectedly, forcing humans to isolate themselves. It has placed the lives of people in jeopardy with its fury. The COVID-19 has a detrimental effect on the world's education spheres. It has imposed a global lockdown, with a negative impact on the students' lives. Continuing regular classes’ on-campus were out of the question. At that moment, online learning came to us as a savior. The quality of online education was yet to be tested on a large scale compared to regular education. This paper reveals the factors that influence four programming courses from Computing students at X University and puts them on the table with an analysis backing it up so that, in future, authorities can design the proper structure for high quality online education.
新冠肺炎出人意料地袭击了世界,迫使人类自我隔离。它的狂怒使人们的生命处于危险之中。新冠肺炎疫情对世界教育领域产生不利影响。它已经实施了全球封锁,对学生的生活产生了负面影响。在校内继续上常规课程是不可能的。在那一刻,在线学习成为了我们的救星。与普通教育相比,在线教育的质量还有待大规模检验。本文揭示了影响X大学计算机专业学生的四门编程课程的因素,并将其摆到桌子上,并进行了分析,以便将来当局可以为高质量的在线教育设计适当的结构。
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引用次数: 0
Production of Fatty Acid Methyl Esther from Wastewater Grown Algae 废水藻类生产脂肪酸甲酯的研究
Pub Date : 2022-03-15 DOI: 10.56532/mjsat.v2i1.35
H. Saidu, Sulaiman Muhammed, Abdulkarim Ali Deba, Aisha Bello Mahmoud, Olanrewaju Abiola Salau, Shaza Eva Mohamad
Biodiesel is an alternative source of fuel that is non-toxic and biodegradable than conventional fossil-based fuel. In this research, biodiesel was produced by the cultivation of Chlorella sorokiniana in Palm Oil Mill Effluent (POME). The lipid content of the algae was obtained using the solvent extraction method. Gas-chromatography mass spectrometer was used for the identification of Fatty Acid Methyl Esther (FAME). Based on the results of biodiesel analysis, the components of FAME confirmed in microalgae biomass are mostly saturated fatty acid and they include tridecyclic acid (C13:0), myristic acid (C14:0), pentadecylic acid (C15:0), palmitic acid (C16:0) and stearic acid (C18:0). These indicated that the biomass of C. sorokiniana after POME treatment has the potential to be used for bioenergy production. 
与传统化石燃料相比,生物柴油是一种无毒且可生物降解的替代燃料。在棕榈油厂废水(POME)中培养sorokiniana小球藻生产生物柴油。采用溶剂萃取法测定海藻的脂质含量。采用气相色谱-质谱联用技术对脂肪酸甲酯(FAME)进行鉴定。根据生物柴油分析结果,微藻生物质中确认的FAME成分主要为饱和脂肪酸,包括三环酸(C13:0)、肉豆蔻酸(C14:0)、戊酸(C15:0)、棕榈酸(C16:0)和硬脂酸(C18:0)。这表明经POME处理后的sorokiniana生物量具有用于生物能源生产的潜力。
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引用次数: 0
Constructing a Secure Data Storage System That Supports Multiple Functions by Using Key Aggregation for Data Sharing in Cloud Storage: A Review 利用密钥聚合技术构建云存储数据共享的安全、多功能数据存储系统综述
Pub Date : 2022-02-18 DOI: 10.56532/mjsat.v2i1.33
Othman Atta Ismael
The old method used for examining data correctness is to recover the entire data from the cloud and then validate data reliability by scrutinizing the correctness of signatures or numeric values of the data as a whole. In modern cryptology, an essential problem to study here is to maintain the greatest benefit of the privacy of given information to perform multiple encryptions. The study shows how a decryption key is made stronger in the sense that it enables several ciphertexts to be decrypted without increasing their size. The statement of the problem lies in the fact that creating an effective public-key encryption system that supports flexible delegation is decipherable by a fixed-size decryption key that could be produced by the holder of the master-secret key. The solution to this problem is by presenting a definite type of public-key encryption known as key-aggregate cryptosystem (KAC). By using this method, users who hold master-secret key could convert a message through a public-key, and an identifier of ciphertext called “class”.  This means that the ciphertexts could be further categorized into various classes. The main objective of this paper is to design a secure data storage system that provides multiple stimulating functions by which the storage system is divided and has no major authority.
用于检查数据正确性的旧方法是从云中恢复整个数据,然后通过检查整个数据的签名或数值的正确性来验证数据的可靠性。在现代密码学中,要研究的一个重要问题是在执行多重加密时,如何保持给定信息的隐私性的最大利益。该研究展示了如何使解密密钥变得更强,因为它可以在不增加密文大小的情况下解密多个密文。问题在于,创建一个支持灵活委托的有效公钥加密系统,可以通过主秘密密钥的持有者生成的固定大小的解密密钥来解密。这个问题的解决方案是提出一种明确类型的公钥加密,称为密钥聚合密码系统(KAC)。通过使用这种方法,持有主秘钥的用户可以通过公钥和称为“类”的密文标识符来转换消息。这意味着密文可以进一步分为不同的类别。本文的主要目标是设计一个安全的数据存储系统,该系统提供多种激励功能,存储系统按其划分,没有主要权限。
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引用次数: 0
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Malaysian Journal of Science and Advanced Technology
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