Volume 15, Issue 6, 06 2024 Edition - IJSER Journal Publication

Publication for Volume 15, Issue 6, 06 2024 Edition - IJSER Journal Publication

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Medical Records Indexing for Medical Student’s Information Retrieval []

Medical information retrieval can support physicians’ and medical students’ learning processes. Nevertheless, the complexity and ambiguity in medical records cause difficulties in retrieving medical information. Those problems can be overcome by the indexing method.One of the widely used indexing methods is LatentDirichlet Allocation (LDA). In this study, we investigatethe LDA model adjusted with the characteristics of medical records and focus on whether adding the channel and label can get better achievement in indexing medical record documents. This study proposed a Multi-Channel Labeled LDA (MCL-LDA), an extended LDA model, combining the channel in labeled LDA. Our experiments were done in medical records by considering SOAP (Subjective, Objective, Assessment, and Plan). The similarity between documents and queries is measured usingJensen-Shannon Divergence (JSD).The evaluation results show that the Precision, Recall, and F-Measure value of MCL-LDA is higher than the native Labeled LDA.

Text Classification using Multinominal Classifier and GUI Interface []

Text classification is a fundamental problem in natural language processing and machine learning. In this project, we explore the implementation of a text classification system using the Multinomial Naive Bayes algorithm and develop a Graphical User Interface (GUI) to allow users to classify text documents into predefined categories. This report provides an overview of the project, including the methodology, implementation details, experimental results, and discussions on the findings. Text Classification is commonly also known as text tagging and text categorisation. It is the process of classifying the text into several categories they belong to. For instance, Cricket will come under the Sports category, and stuff like that. We have used the Machine Learning Classifier Namely Naïve Bayes classifier. The data set we use for building a Text Classification system is Natural Language Processing with Disaster Tweets. In this work we have used pandas, and numpy libraries, for text pre-processing we have used NLTK, and string libraries for model building using sklearn and elaborately discussed how using all these libraries and datasets an algorithm is proposed to classify text much better. Thus, after getting a clear view of various techniques and tools available an algorithm is devised that can be implemented for building a text classification system.


Treating Argo-based industries waste water has become a challenge because of its characteristics properties such as high chemical oxygen demand (COD), high biological oxygen demand (BOD), residual chlorine and other dissolved solids. In this study a 2D electro-chemical (EC) coagulation technique is used for treating sugar mill waste water taken from MYSUGAR, Mandya. After determining the initial properties of the waste water like pH, colour, COD, sulphates, BOD, total solids etc. An electro-coagulation process was done under constant current, varying voltages and varying number of electrodes. EC process includes Aluminium electrodes with standard dimensions which acts as anode, the experimental setup includes glass container with waste water connected to DC power supply under bipolar electrodes in parallel arrangement with which final electro-chemical reaction gives dischargeable water. Results indicated a reduction of 92% in COD under optimum conditions.


The interest of coastal zone management is to protect coastal zone against vulnerability hazard due to natural disaster on human livelihood in coastal region. Loses recorded among towns, cities, and villages along the coast is pitiable and require urgent attention. The coast, irrespective of being prone to disaster is the economic backbone of this nation Nigeria. The National Marine time, the oil and gas exploration, the inland water ways and recreation activities are all sources of income for the country. To protect the coastal area against hazard, require urgent and timely intervention by geospatial scientists. Several approaches including time series analysis, coastal vulnerability index, coastal factor, and land use, land cover classification were used to calculate the vulnerability of coastal erosion along the Nigeria coastal region using Multicriterial analysis. Land sat time series data set, ASTER, tidal data were downloaded from USGS website and process to generate useful results for analysis using ArcGIS software. Special vulnerability index was calculated to determine area that are prone to disaster along the coastal region. The study produces useful results such as LULC, DEM, slope. Aspect, and coastal vulnerability indicator maps which will definitely help for decision making process.

Development of Bio-grease with blended vegetable oil (Castor and cottonseed) []

Abstract: The goal of this research is to focus on the formulation of high-performance bio-grease lubricants using non-edible castor oil and cottonseed oil blended in various proportions and the use of additives (C-G) and thickeners (LiOH) to increase tribological properties. At the same time, it makes use of renewable resources and solves environmental concerns about petroleum-based lubricants. The study was carried out and analyzed utilizing the experimental approach. In general, the current study discovered that bio-grease could be made with lithium soap and a blend of castor and cottonseed oil. The thickener proportion and the base oil have a major impact on the lubricating properties of formulated bio-grease. Keywords: castor oil, cottonseed oil, formulation, bio-grease lubricant, Lithium hydroxide, (LiOH), Carbon graphite (C.G), Tribology.


This article applies the DPSIR model to evaluate the effectiveness of economic development towards green growth in the coastal area of Quang Ninh province and its surroundings. The study identifies the driving factors, pressures, current status, impacts, and reactions in the process of green economic development in four regions with distinct economic characteristics: Region I (transportation, mining coal), Area II (coal transportation, hazardous waste treatment), Area III (traffic, marine tourism) and Area IV (Industrial parks, concentrated population). The results show that green growth in this region is still not sustainable, mainly relying on finite resources. Economic activities such as coal mining, transportation, tourism, and industry cause pressure on the environment, such as air, water, soil pollution, waste, and conflicts of interest between sectors. Although local authorities at all levels have implemented solutions to reduce environmental pollution and promote green growth, it is necessary to focus on preserving and developing biodiversity to develop a sustainable green economy in the future and studying and restoring marine waste systems, promoting stricter environmental management and monitoring. Raising public awareness of environmental protection and sustainable development is critical to achieving these goals. The urgency of these actions is underscored by our current challenges, emphasizing the need for immediate and concerted efforts.


The study focuses on identifying the factors that affect customer satisfaction regarding the service quality of the banking sector based on a survey database from 252 regular customers at the Joint Stock Commercial Bank for Investment and Development of Vietnam (BIDV). The study revealed that there are 6 factors impacting customer satisfaction towards banking services, which include: (1) expectations, (2) price, (3) reliability, (4) tangible means, (5) service capability, and (6) accessibility. The research also proposes several measures to enhance the service quality of commercial banks in Vietnam.

Mechanized Suffocating Location and Security in pool with IoT Server []

The existing system is based on video surveillance using HSV color space analysis, An innovative technology has been developed to identify an individual in distress at a pool and trigger an alert for the lifeguard in case the individual cannot be located within the pool. The drawback of this existing system is that video surveillance may not be able to detect all instances of drowning, if the person is not fully submerged or the water is muddy. The proposed system consists of three main sensors, such as a temperature, heart rate and a respiratory rate sensor, which are used to detect the body conditions of the swimmer. If the swimmer's body condition exceeds the preset ranges, the buzzer sends an alert to the lifeguard for rescue. An IOT server is used to store the data of the swimmer. The experimental results shows that the proposed system improved in terms of accuracy and speed compared to existing setup.


A comprehensive study of some groundwater wells in the area extending between the cities of Al-Khums and Souq Al-Khamis []

This study was conducted for the purpose of evaluating the quality of groundwater in the area extending between Al-Khums and Souk Al-Khamis by selecting ten wells and analysing their water chemically and physically during the period from May 2022 to May 2023. Results show a large differences in the depths of the wells (6–142 m). It was also found that there was a variation in the amount of total dissolved salts (1443–4790 ppm), and the electrical conductivity ranged between 2650 and 9190 microseconds/cm, which is a logical proportion when compared with the TDS value. As same as the values of pH were 6.63 - 7.40.

Application of Geographic Information Systems to Evaluate Soil Fertility in Thung Ma Hue []

Thung Ma Hue, Case Study: Tan Sum District, Ubon Ratchathani Province. It covers an area of 6 sub-districts, namely Tan Sum, Chik Thoeng, Na Khai, Nong Kung, Samrong and Kham Wa with a total area of 185,685 rai. Most of area is used for rice cultivation 123,203 rai or 66.35% of the total. The application of Geographic Information Systems to assess soil fertility for the purpose of obtaining information soil fertility levels and soil chemistry factors influencing low fertility and to map soil fertility levels in Thung Ma Hue area with a study period of 1 year. The results showed that the Soil Survey Division (1980) assessment method had a low fertility of 89.92 percent and soil chemistry that causes soil fertility to be low is the amount of organic matter, available potassium, cation exchange capacity and base saturation was low, approximately 89.92 percent of the area and available phosphorus was low at 78.26 percent. For the Land Classification Division and FAO Project Staff (1973) assessment methods, the Thung Ma Hue field area had low fertility 78.26 percent and moderately low 11.67 percent. The chemical properties of soil with low fertility were amount of organic matter and base saturation with is low, equal to 89.92 percent. It was found that the available phosphorus in soil and cation exchange capacity were too low about 76.44 and 51.91 percent, respectively. However, both methods found that the soil fertility level similar and soil chemical properties affecting to low fertility: soil organic matter, available phosphorus, available potassium, cation exchange capacity and base saturation, most of them are low levels and this may be mainly due to soil pH. It can be seen that soil pH in such areas will be very acidic - very strong acid, which cause soil nutrients to be fixed in complex compounds not soluble effect soil nutrients to be low. In addition, farmers in Thung Ma Hue may be have inappropriate soil management, such as the utilization of relatively low amounts of manure, compost and green manure, resulting in soil organic matter content in low which fertility can be reduced. The next study assessment of soil fertility used in rice cultivation should be using the Land Classification Division and FAO Project Staff (1973) method, because it is a more accurate than the Soil Survey Division (1980) method and saves time, non-expensive costs and this method using only 4 factors of soil chemistry will be analyzed compared to Soil Survey Division (1980) method which requires to be analyzed for 5 factors, etc. In addition, the method of Land Classification Division and FAO Project Staff (1973) is also needed to continuously monitor changes soil fertility in Thung Ma Hue so will have to choose an appropriate assessment method in order to obtain information for decision-making in planning for sustainable soil improvement in rice-growing areas.


This study investigated the relationship between demographic factors and cardiovascular diseases using Categorical Analysis of Variance (CATANOVA). A total of 838 patients diagnosed with six cardiovascular diseases between 2015 and 2019 were analyzed. The results showed a significant association between gender and cardiovascular diseases, while age and marital status were found to be unrelated. The study provides insights into the epidemiology of cardiovascular diseases in the Nigerian population, highlighting the need for targeted interventions and further research.

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