查看更多>>摘要:Eliciting requirements is one of the key aspects of the software development life cycle. Incorrect determination of the requirements can lead to the failure of the projects. Traditional waterfall method does not accommodate changing requirements easily while agile methodology welcomes the changing requirements even at the later phases of the development life cycle. The aim of the research is to improve the agile requirement elicitation process to ensure quality product is developed that aligns to the organizational strategy and its high value initiatives. Requirement elicitation process within agile projects should consider organisational actor's strategic dependency and rationale to ensure alignment with organisational strategy. We propose to improve the requirement elicitation process by combining i* organizational models with standard Agile-Scrum methodology through a real-life health service provider scenario. The aim of our methodology is to ensure the social aspects of the organizational actor's strategic dependency and rationale are considered. We argue the requirement process could be significantly improved by combining these two aspects; Agile-Scrum methodology will address the requirements through user stories, vision document, epics and i* organizational model will include the social aspects of the organization to reduce the gap between the project goal and organization goal.
Ismail Ismail Yusuf PanessaiMuhammad Modi bin LakuluSiva Kumar A/L SubramaniamAhmad Fadli Saad...
11-25页
查看更多>>摘要:IoT (Internet of Things) has become a separate research field since the development of internet technology and other communication media. IoT optimizes several tools such as sensor media radio frequency identification, wireless sensor networks and other smart objects that allow humans to easily interact with all devices connected to the internet network. The purpose of this research is to build an IoT-based solar cell tracker which can be controlled through mobile Apps and the data can be read anywhere as long as there is an internet network. In this research used LDR sensor, DHT11 sensor, Voltage sensor and MPU6050 sensor to optimize the performance of the proposed solar cell tracker system. The control system is built using an Appinventor that allows the system to be controlled via cellular phone from a distance. All sensors will be connected via Arduino and realtime data can be viewed through the Thinger.Io web page using Raspberry and mini LCD. ESP8266 NODE MCU microcontroller is used for a Wi-Fi connection. The results of this study indicate that the voltage value generated by dynamic solar cell tracker is greater than the static solar cell tracker. Dual axis sun tracker devices that are built using four LDRs produce an average voltage of 19.40 Volt when the sunny weather, 18.05 Volt when the cloudy weather and 13.60 Volt when the rainy weather.
查看更多>>摘要:Smoking is a modifiable risk factor for many other diseases, this study aimed to evaluate student's awareness in relation to smoking consequences on diabetes. This is a cross-sectional study involved students who attended al-Safwa university college in Karbala, Iraq. Data were collected within one month (February 2018). The collected data were analysed using the SPSS (version 18.0) software package (SPSS Inc., Chicago, IL). Pearson chi-square test were used to find the association between participants smoking status and their knowledge to its consequences on their health. Seventy-five participants enrolled in the study, their mean age was (22±2.2 years); and their BMI was (24±3.8 kg/m~2). Around 50% of them were smokers; they smoked around 12±16.5 cigarette/day, more than two thirds of the participants were males (69.3%). Participants were either students in the pharmacy department or dentistry department of the college. More than two thirds of them didn't know whether smoking had bad impact on diabetic people or no. However, almost an equal proportion of them believe that smoking can worsen heart disease (range 69%-78% of participants). On the other hand, Pearson chi-square shows a non-significant association (p>0.05) between participant smoking status and their knowledge to its consequences on their health. Knowledge regarding smoking bad effect can increase quitting rates; nerveless if it was combined with counseling it would have double effect. This was one of few studies that investigate college student's knowledge in Iraq, it lightens the way for future researches to be done.
查看更多>>摘要:The real sense of crisis often leads to bring some changes for betterment of society. We are in an age, where every day we are facing the crisis of energy. Decisions on current energy as well as fuel crisis in right direction can bring about a better, more sustainable future for our planet. We have huge opportunities and scope for innovative research and discoveries towards a more sustainable lifestyle. The requirement to modify the present energy model is at the top priority and is accepted as a mainstream business issue too. When it comes to fossil fuels, it suggests somewhat of very old with a prehistoric impression due to its usage from very ancient times as back as Iron Age. However, the wide-scale extraction has been started due to the result of Industrial Revolution. The present form of such fuel probably took millions and millions of years to become so. But in a very short span of time- say approximately just 200 odd years- it has been consumed an incredible part forever. The report says- the oil reserves will vanish very soon based on the current rate of consumption and the oil deposit will be gone by 2052 even there won't be any change in population growth and aspiration. However, there are also certain arguments on the coal deposits, which can help to run the show with its adverse effect till 2088. Based on the increasing standard of living with the world's population, the fossil fuel might run out much earlier than the predicted time.
查看更多>>摘要:The purpose of this research is to identify and address the service delivery issues faced by patients in hospitals including emergency departments. It illustrates the available solutions and determines the one that best fits the solution among service delivery methods in hospitals to provide quick and quality care with better efficiency. There are various software tools that are used to analyse and minimize the patients waiting times. This research examines and discusses the existing practices and findings that are currently being used in the hospital frameworks. It also examines the factors influencing the service delivery and patient satisfaction through different methods and tools to give a clearer picture of the patient flow at the hospitals utilizing a case study approach in the context of hospitals within NSW Australia. This research paper proposes improvement in service delivery model, which potentially improves patient satisfaction as well as increase efficiency for health care service providers to handle huge overcrowding in many hospitals. It potentially creates opportunities for better health care by providing better services on time and in a better quality.
查看更多>>摘要:The knowledge of the ground electrical resistivity is essential to ensure the protection of electrical and telecommunications networks. However, the monitoring of its values is an expensive task which takes long time. Therefore, its prediction is important. This study investigates on predicting soil electrical resistivity using Artificial Neural Networks. Nine sites of our city (Lome, TOGO) were considered. After characterization of the resistivity data collected on these sites, two models have been developed: Multilayer Perceptron (MLP) and Radial Basis Function (RBF) networks. Relative Root Mean Square Error (RRMSE) and R2 (Linear Correlation Coefficient) have been used to evaluate each model performance. For the MLP model, the configuration [ABCDEF] is the most efficient with the RRMSE = 12.00%, R~2 = 81.91% and 70 neurons under the hidden layer. For the RBF model, the configuration [BCDEF] is the most efficient with the RRMSE = 16.07%, R~2 = 69.97% and 100 neurons under the hidden layer. In general, the results exhibit that the MLP outcome configuration [ABCDEF] is the most efficient with the best RRMSE = 16.07% and R~2 = 69.97%. The letter A, B and C are the weather parameters and D, E, F are the geo-referenced coordinates of the measuring point. So far, research has not focused on predicting the electrical resistivity of the soil at a given location. Thus, the results of this study show that from meteorological data, it's possible to predict this electrical resistivity.
查看更多>>摘要:Olive oil extraction processes generate three phases: Olive oil, solid residue (pomace) and aqueous liquor Olive Mill Wastewater (OMW). OMW causes serious environmental deteriorations such as coloring of natural waters, alteration of soil quality, phytotoxicity and odor nuisance. The direct discharge of this effluent into the soil bring various negative effects on the environment, due to its high load of organic matter and phenolic compounds. Coagulation, flocculation and their combination processes are among the most applied processes for wastewater treatment. The application of coagulation technique using mineral and inorganic polymeric coagulants and acid cracking is not always effective to reduce COD and phenolic compounds from OMW except lime. Although direct flocculation is a low treatment cost, use less chemical and produce less sludge, the efficiency of COD and phenolic compounds removal remain very low. Coagulation-flocculation process is developed in order to enhance the removal efficiency of organic matter from OMW by optimizing the operating conditions. However, many studies showed that the combination of various cationic organic coagulant and flocculant agents did not show any significant decrease of COD and phenolic compounds except for lime combination. In the present review, recent research studies dealing with the application of coagulation/flocculation for removal of phenolic compounds and COD from OMW are presented and compared. Furthermore, the main factors that influence the selection between coagulation, direct flocculation and coagulation-flocculation are presented and the principal removal mechanisms are discussed.
查看更多>>摘要:In the absence or infeasibility of experiments, matching methods have increasingly been used in making causal claims using observational data. This paper conducts a Monte Carlo simulation study, based on a household panel survey, to compare the performance of some widely used subset matching methods. The methods include the propensity score caliper matching, Mahalanobis distance matching, and coarsened exact matching. Comparisons were made in terms of the ability to reduce covariate imbalances, as well as effective recovery of the real treatment effect. Numerical results from our simulations provided evidence of coarsened exact matching outperforming the other methods. Our results also showed that, except for the Mahalanobis distance matching method, the efficiency of treatment effect estimates decreases with an increasing proportion of treated units.
查看更多>>摘要:The present study reports the synthesis of nano Zinc Oxide (ZnO) and its adsorption behaviour. The ZnO obtained by precipitation method were found to be well-defined nano rods arranged like flower. The shape, size and structure of ZnO were characterized from X-Ray Diffraction (XRD), Energy Dispersive X-ray (EDX) and Scanning Electron Microscope (SEM) analysis. These nano rods were utilized for the adsorption of hexavalent chromium ions [Cr(Ⅵ)] from their aqueous solution by using batch adsorption technique. Different physico-chemical parameters such as metal ion concentration, pH, dosage level and equilibrium contact time were studied during adsorption. The amount of chromium adsorption increases with increase in adsorbent dosage, whereas the adsorption was maximum in the first 40 min with optimum value of pH 3. The kinetic of adsorption was best fitted by the pseudo-second-order rate equation. Similarly, the equilibrium adsorption data were fitted well by both Temkin and Freundlich adsorption isotherm models in comparison to Langmuir adsorption model. The adsorption of chromium was supported by EDX and SEM analysis. Moreover, the change in the SEM morphology of ZnO nano rods into nano sheets after adsorption is an interesting observation of the present investigation.
Ahmad BayhaqiYueng-Djern LennDewi SurinatiJeff Polton...
118-133页
查看更多>>摘要:As one of the Indonesian Throughflow (ITF) outflow passages, the Sumba Strait is a meeting point for the Pacific and the Indian Ocean water mass. In order to study the long-term variability of ITF flowing via Sumba Strait, this research uses observational data from the Ekspedisi WIdya Nusantara (EWIN) research cruise conducted in August 2016 to validate the altimetric geostrophic surface current by referencing the shear velocity. Stating the referenced level to 700 m, geostrophic transport is calculated using the Monthly Isopycnal/Mixed-Layer Ocean Climatology (MIMOC) data. Over the period of 1993-2016, the results demonstrate a dominant seasonal pattern for the geostrophic variability. While the total geostrophic transport shows a main westward direction towards the Indian Ocean, the Sumba Strait provides only a small portion (less than 0.1 Sv) for westward ITF geostrophic current. Intraseasonally, the maximum transport occurs during the southeast monsoon. The reversal of South Java Current (SJC), which flows with the eastward direction heading to the Savu Sea, is observed as the intrusion for westward ITF in almost every monsoon season. Despite having an unclear year to year cycle, climate mode of the Indian Ocean may have more influence on the surface geostrophic variability at the Sumba Strait. On the other hand, ocean-atmosphere coupling in the Pacific Ocean has a role in regulating geostrophic transport variation within the Sumba Strait. Using a statistical approach, the findings emphasize that the throughflow may well be impacted as well as feedback on both ENSO and IOD since there is robustness in those variables.