LC International Journal of STEM (ISSN: 2708-7123)
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    120 research outputs found

    A Review on Software Architecture Documentation in Agile Development

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    With the growing development of world every software product demands extra features to compete with competitors. To solve this problem, we have required Agile with defined and clear architecture to avoid the failure of project. But you do not know how it is possible and how we can stable our architecture and Agile model…? To ease the solution of problem we divided our product development models into two sections. 1. Traditional Models and 2. Agile Models The traditionally models are highly time consuming with dense documentation as compared to agile with frivolous documentation and intercommunications to satisfy customer. There are different methodologies available for starting products and complex systems development consisting the simple requirement with well-structured architecture objects. But we choose the agile process to make our architecture slim and least documentation which can easily review, update and conversate. There are also problems in our documentation and architecture design but we propose solutions with problems for the easiness of reader. We also propose different solutions in documentation problems

    Incubation Process: A Key Innovation Lever for Successful Start-Up Businesses

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    The purpose of this research is to describe the incubation relationship to establish win-win relations between incubator and entrepreneur, which allows us to get around all the obstacles that prevent us from maintaining a sustained level of innovation. Within an ecosystem of entrepreneurial support, the incubator has a leading role because, he constitutes the bridge between the entrepreneur and the external environment, to create this relationship; he develops cooperative strategies with other incubators so that his support offer has clarity and good legibility for projects leaders. The findings are useful for incubators and entrepreneurs-owners of start-ups in their efforts to enhance the innovation of their firm.&nbsp

    Effect of Work Environment and Employees Job Satisfaction in Selected Branches of Lapo Micro-Finance Bank in Lagos State

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    The provision of conducive environment of work by management of Nigerian banks will go a long way to encouraging employees' job satisfaction and retention especially in Nigeria where the banking industry is saddled with stiff competition as well as high employees' turnover. The banking industry in any nation is the financial pillar of that nation due to its intermediation in economic development of the nation. The objective of this study was to examine the effects of work environment on employees’ job satisfaction in selected branches of Lapo Micro-Finance Bank in Lagos State. Job Design Theory and dispositional theory were the theoretical anchor of the study. The research design was descriptive in nature and a sample size of one hundred and seventy three was used for the study from a population of three hundred and forty through the simple random and stratified random sampling techniques. The results were presented in tables and frequency. The stated hypotheses were tested through the use of chi-square analysis. Findings reveal that there is a strong relationship between work environment and employees job satisfaction, also the investigation shows that there exist and nexus between the environment of work, welfare packages and job satisfaction. Finally, the findings reveal that job security strongly has a relationship with employee job satisfaction. The study concluded that bad working conditions restrict employees to portray their capabilities and attain full potential, so it is imperative that the businesses realize the importance of good working environment. Staff motivation by management should be imbibed regularly to encourage employees who have excelled and periodic salary review is encouraged as to ensure employees' job satisfaction in the banks

    Indoor Environmental Quality of Households Resident Districts Within Ogbomoso Township, Nigeria

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    The study examines the health risk associated with of housing design in three different residential districts located within Ogbomoso, Nigeria. Variables considered as determinants, based on households’ survey and used for appraisal in this study include; quality of environment in terms of good layout, type of house/ building, volume of fenestrations and ventilation, mode of cooking and method of waste disposal etc. The goal was to identify the exposed population with rate or highest risk of health risks among residential households in Ogbomoso residential district. Both primary data and secondary data were used for the study. The study had area is Ogbomoso North Local Government area because it provides shelter for various backgrounds, races and ethnic cleavages. It is the seat of Ladoke Akintola University of Technology (LAUTECH) Ogbomoso which is a non- residential type, thus more houses constructed in order to accommodate both students and staff of the institution and the most important factor of development in the town. Making the development began to spread radically and farther away from the core areas of the town. The study area consist of ten wards which have three major district features of housing distinct types that provide shelters and other forms of land use. Thus, the three major residential blocks (areas) of the town were identified and were classified into three distinct density zones – low, medium and high. An area was then randomly selected to represent each residential density/zone to represent high, medium and low density areas respectively. The analysis is based on statistical estimation and concessions are based on the results obtained from these estimations. The findings indicated that different category of residential districts of the township has different housing design and attributes which thus dictate the rate of indoor health related problems peculiar to it hence broad generalization for the whole township could be erroneous

    Students Perception Towards Basic Teaching Skills Of English Teachers At Smp 4 Suppa

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    This study aims to provide scientific data about perceptions towards English teachers’ basic teaching skills at second grade of SMPN 4 Suppa. This research is descriptive quantitative, with survey approach using questionnaire. The samples of this study were 20 students from three classes. The data were analysed by using percentage technique to provide the frequency of respondents’ answers. The results of this research show that students’ perception towards their English teachers’ teaching skill are in good level, with total score 127 (42%), and the lowest score is “very poor” answer with total score 15 (5%). Therefore, based on assessment criteria used in this research, it can be concluded that the basic teaching skills of English teacher at second grade of SMPN 4 Suppa is categorized as good

    Assessment of Oxygen Gas Cylinder and Its Safety Measurement in Private Medical Care at Peshawar, Pakistan

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    Medical gas delivery equipment is a potential source of patient injury. Recent attention in health care has been on the architecture design of operation theater including equipment, technology, and patient safety. Oxygen cylinder failure is a rare but potentially cataphoric event that can affect the care of patients. Anesthetic gas delivery devices are a concern because they exhibit several basic features that may predispose to critical events and subsequent patient injury. This cross-sectional study was conducted among a sample of 267 from different private medical care centers in Peshawar through a convenience sampling technique from March 2018 to August 2018. A pretested questionnaire proforma was used for data collection. Ethical approval obtained from the head of the institute and a consent form was also signed from concern. Semi government and government hospital, central pipeline supply system was excluded from this study. Data were analyzed through SPSS version 22. A total of 267 oxygen cylinders were observed in which (n=165, 61.7%) cylinders were properly color-coded and the rest (n=102, 38.3%) were not. Of total, (23, 8.6%) cylinders were tested for compliance while 244 (91.3) were not tested, valve cap was present on (n=89, 33.3%), and rest of (n=178, 66.6%) were missing. Lifting (48%), was the major transport process. The least process was rolling (n=28, 10%). we concluded that all the ignorance which has been predominant in private medical care centers may pose a constant threat to the patient’s life and for the operating room team

    Faster-RCNN Based Deep Learning Model for Pomegranate Diseases Detection and Classification

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    India is the largest producer of pomegranates in the world which earns a high profit. However, due to atmospheric conditions such as temperature variations, climate, and heavy rains, pomegranate fruits become infected with various diseases, resulting in agricultural losses. The two most common diseases seen in the Karnataka region are bacterial blight and anthracnose, both of which cause a significant production loss. This paper has detected and classified these two diseases by extracting knowledge from custom trained models using Deep Learning. To overcome the traditional methods, Faster-RCNN helps us to do better object detection

    Effect of Aboodh Adomian Method for the Solution of Non-Linear Integro Differential and Volterra Integeral Equations Based on Newton Raphson Method

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    In this paper, we set up an altered Aboodh transform Adomian break up technique to solve non-linear Volterra integral and integro-differential equations. This scheme separate it from initial Aboodh Adomian splitting method because it involves the terms of Adomian polynomials. we applied Newton-Raphson method instead of ui (variable) in Adomian polynomials. The assigned scheme is explored with few explained examples that gave feasible solutions

    The Effectiveness of Integrating Write Around Model and Surah Al Qalam Value in Teaching

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    This research is a type of experimental research that aims to describe the influence of applying the write around type of cooperative learning model in learning to write short stories in class XI students of SMA 1 Polewali. The population of this study was the XI grade students of Polewali 1 High School and the sample of this study was taken by random sampling consisting of two classes. One class was made a control class, namely students of class XI IBB 2 who were taught not to use the cooperative learning model type write around and one class as the experimental class, namely students of class XI IBB 1 who were taught using the write around type cooperative learning model. The results of the research data were analyzed using the SPSS 21 for windows program. The results of the descriptive analysis provided information that the ability of the control group students in the initial test produced an average score of 60.00 in the less category, and in the final test 63.10 was still in the category less, the standard deviation in the final test was 8.243 while the experimental group students using the write around cooperative learning model on the initial test had an average score of 63.85 in the less category, and the final test produced an average score of 75.91 of which were in the capable category with a standard deviation in the final test 7.145. Inferential statistical analysis obtained a value of t count = 6.607 > t table = 2.00, then the t count falls in the rejection area H0 . This means that hypothetical H 1 is accepted. Then the conclusion is that the application of the write around type cooperative learning model influences the ability to write short stories of class XI students in IBB 1, Polewali 1 High School

    Detecting Mobile Money Laundering Using KPCA as Feature Selection Method

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    In recent years, mobile phone payment systems have been extensively used in developed countries. Frauds are affecting the economy of the whole world. Different kinds of mobile money frauds are credit card, bank fraud, insurance fraud and financial fraud. In this paper, we discussed financial fraud and proposed an effectiveness method for money laundering. Payment system in fraud divided into four parts, point of sale, mobile payment platform, mobile payment independent and bill payment through mobile. Mobile phones are great source of service for financial transactions. Our objective is to identify the misuse of mobile money transaction and to prevent fraud from financial transaction to save the money. Financial Action Task Force (FATF) is an organization that views internationally money laundering. Financial Action Task Force continuously strengthens its standards for dealing with new risks. The Financial Action Task Force monitors countries to ensure the implementation the Financial Action Task Force Standards and holds countries to account that do not comply. This paper proposes hybrid Kernel Principal Component Analysis method used on as feature selection method and investigates the performance of Decision Tree and Boost classification Machine learning method. We applied Area under the ROC curve (AUC) and confusion matrix after using the feature selection method. We found the results of Decision Tree Training, testing and Boost with different Sampling of both datasets and Boost has better performance than Decision Tree

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    LC International Journal of STEM (ISSN: 2708-7123)
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