ARPN Journal of Engineering and Applied Sciences              ISSN 1819-6608 (Online)
 

 
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ARPN Journal of Engineering and Applied Sciences                            May 2019  |  Vol. 14  No. 10
   
Title: Study on compressor performance with the orifice shape of a compressor suction valve
Author (s): Y. N. Jang and Y. L. Lee
Abstract:

Household refrigerators consume a lot of power. This power consumption causes not only environmental problems but also energy reduction problems. Therefore, this paper was aimed to optimize the performance of the compressor which consumes the most power in the refrigerator. For this, the performance of the refrigerator according to the suction orifice shape was examined using the 3D rigid valve model. As a result, increasing the number of suction orifices increases the cooling capacity by up to 1.3% and increases the EER by 0.13.

   

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Title: Experimental evaluating of thermal resistance performance for different types of thermal insulators for mounted roof water storage tanks
Author (s): Baqer A. Alhabeeb
Abstract:

Fluctuating the temperature of water stored in a mounted roof tank in summer and winter has become an issue for domestic uses in developing countries. This study focused to keep the temperature of the stored water low in summer to use it comfortably and relatively high in winter to save energy. Nine water containers were insulated with different types of thermal insulators. The insulators used in this study were: aluminum foil (AF) sheet, Air gap + AF, dry soil + AF, dry canes of arundo donax + AF, fiberglass + AF, polystyrene only, polystyrene + AF, polystyrene + mirror and industrial sponge + AF. The effectiveness of thermal resistance for each individual insulator and for a reference unwrapped container was calculated depending on temperature measurements recorded over 24 hours for both summer and winter cases. The results showed that AF has a significant effect to enhance the thermal insulation efficiency. Industrial sponge + AF provided the best value of thermal insulation effectiveness compared to the other insulators used in the current study. Air gap and arundo donax could be more suitable applications in winter to reduce heating energy consumption.

   

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Title: Development and influence of setting variables in single point incremental sheet metal forming of AA 8011 using ranking algorithm
Author (s): Ganesh Babu Loganathan, S. P. Sundar Singh Sivam, V. G. Umasekar and Saravanan K.
Abstract:

Single point Incremental shaping (SPIF) is a metal forming process which rose to unmistakable quality toward the start of the 1990s. ISF is an exceedingly limited twisting procedure in which a device, modified to take after a specific direction, moves over a sheet metal and structures the coveted shape. During the SPIF, process parameters such as the Axial Feed (mm), Feed (mm/min), tool Diameter (mm) and Depth (mm) at the specimen interface greatly influence in the Cone shaped Mechanical quality such as Maximum Thinning (mm), Cone Height (mm), Wall Angle (mm) &Forming Time (min) of Forming. The aim of the present work is to study these parameters while build up a cone quality, were formed by VMC. To carry out a detailed study of these parameters, experiments were conducted by using the L9 orthogonal array. The output parameters such as affecting mechanical quality were analysed by Grey relational Analysis and ANNOVA.

   

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Title: Cultivation of Amphidinium carterae in a bubble column photobioreactor: Energy dissipation rate characterization
Author (s): Hugo F. Lobaton
Abstract:

Amphidinium species belong to a genus of dinoflagellates that produce outstanding compounds with antitumor activity. However, the development of a stable producing system has not been conducted yet; perhaps because of the low biomass concentration and the possible difficulties in the scale-up, which are the result of shear stress limitations. The present work evaluates the energy dissipation rates generated in a one-litter bubble column photobioreactor by using computational fluid dynamics for different superficial gas velocities. Energy dissipation rates were linked to the growth of Amphidinium carterae and this work shows that A. carterae can stand energy dissipation rates of 0.12 m2/s3 with a good growth rate and not visible shear damage. In addition, it was found that in cultivations without CO2 additions is compulsory to use high superficial gas velocities in order to avoid pH increments out of the optimal one.

   

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Title: Experimental study of capsules formation using different types of polymers
Author (s): Aitbek Kakimov, Zhainagul Kakimova, Madina Jumazhanova, Alibek Muratbayev, Gulmira Zhumadilova, Gulmira Mirasheva, Aleksandr Mayorov and Zhunus Soltanbekov
Abstract:

The aim of this work was an experimental study of the possibility of formation of capsules by different types of polymers. In this work, several types of polymers were chosen as encapsulating materials: amide pectin, alginate and gelatin. In the experiment different polymer concentrations were used and the dependence of the formation of spherical capsules from the concentration of the encapsulating substance was studied. It was experimentally established that elastic, preserving the structure of spherical capsules are obtained by using alginate / gelatin in a percentage of 1/1. The strength of the capsules was also studied. As a result, it was found that the best option is the composition of capsules containing 1% gelatin and 1% alginate. Capsules made of this composition have a rounded spherical shape, the same size, and they are resistant to physical impact. As a result of the study of rheological characteristics of natural polymers, promising for obtaining capsules, it can be concluded that the most suitable samples for the creation of new functional gel systems based on natural polymers are the ratio of alginate and gelatin, because they form heat-reversible gels.

   

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Title: Implementation of land cover change detection based on supervised classifications of multispectral satellite data for leveraging internet of things
Author (s): A. Ahmad, U. K. M. Hashim, R. Abd Wahid, H. Sakidin, S. F. Sufahani, A. R. M. Amin, M. M. Abdullah and S. Quegan
Abstract:

The study reported in this paper aims to detect land cover changes using multispectral and multitemporal remote sensing data. The data came from Landsat TM satellite covering the area of Klang, located in Selangor, Malaysia. Initially, pre-processing was carried out to identify the stability of three supervised methods namely maximum likelihood (ML), neural network (NN) and support vector machines (SVM) as the size of training pixels changed For this purpose, Landsat bands 1, 2, 3, 4, 5 and 7 for the year 1998 were used as the input for each of these methods to classify land covers within the study area. The generated land cover classifications were evaluated by statistically comparing each land cover with a reference data set using a confusion matrix. Subsequently, these methods were used to classify land covers of the same area using Landsat data acquired in the year 2000 and 2005. The 2005 classification was then statistically compared with the 2000 classification using a confusion matrix for each of the methods. This produced land cover changes that occurred between 2000 and 2005 which were generated using SVM, ML and NN. Results showed that land cover change detection using SVM was quantitatively and qualitatively more accurate compared to ML and NN mainly due to the least affected by the size of training pixels. The findings of the study are relevant and beneficial in leveraging the internet of things practices.

   

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Title: Contamination effect of synthetic based mud on Fly Ash based geopolymer cement slurry
Author (s): Dinesh Kanesan, Davannendran Chandran and Nuriman Amsha Bin Azhar
Abstract:

The contamination of cement is a major concern in the oil and gas drilling and cementing operations. The integrity of oil and gas wells can be affected by poor zonal isolation due to inadequate mud removal, excessive mud filter cake formation and contamination of cement slurry by mud. Poor cementing can lead to detrimental effects such as blowout which may result in loss of lives and huge monetary losses. The use of geopolymer cement has gained popularity in recent years due to its enhanced cementitious properties compared to the conventional Ordinary Portland Cement (OPC) and its ability to reduce the production of greenhouse gasses. Although studies have been conducted to compare the cement properties of geopolymer cement and OPC, the practical aspects in terms of oil well cementing such as drilling mud contamination effects on geopolymer cement is yet to be studied in detail. In this study, the contamination effects of synthetic based drilling mud (SBM) on Class F Fly Ash based geopolymer cement with densities of 11 ppg, 13 ppg and 15 ppg, were investigated at temperature and pressure of 65 °C and 3000 psi respectively. In all three cases, the compressive strength of the fly ash based geopolymer cement reduces as the drilling mud contamination percentage increases. However, the experimental findings suggest that the 13 ppg geopolymer cement slurry formulation is the optimum formulation for the lowest strength reduction at 15% contamination of drilling mud. Besides that, the fluid loss tests indicate that the fluid loss decreases as the drilling mud contamination percentage increases for all densities of geopolymer cement studied. This trend suggests that lesser additives would be required to control fluid loss during oil well cementing operations using geopolymer cement if mud contamination percentages are high. The conclusion of this study supports the usage of Class F Fly Ash based geopolymer cement for oil well cementing applications.

   

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Title: Simultaneous effects thermal diffusion and diffusion thermo on MHD non-newtonian Casson fluid flow along a vertically inclined plate in presence of free convection and joules dissipation
Author (s): D. V. V. Krishna Prasad, G. S. Krishna Chaitanya and R. Srinivasa Raju
Abstract:

This paper derives numerical solutions of completely developed free convection with heat and mass transfer flow towards a vertically inclined plate in presence of Casson fluid, thermal diffusion, diffusion thermo, heat source and porous medium. In energy equation, the effects of viscous dissipation and Joule dissipation effects are discussed. The numerical solution for the governing nonlinear boundary value problem is based on the numerical method scheme over the entire range of physical parameters. The transmuted governing partial differential equations are resolved numerically by employing finite element method. He impact of pertinent flow parameters on momentum, thermal and mass transport behaviour including the skin-friction factor, thermal and mass transport rate are examined and published with the assistance of graphical and tabular forms. Favorable comparisons with previously published work on various special cases of the problem are obtained.

   

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Title: Arabic Query Expansion using WordNet and Cuckoo algorithm
Author (s): Samar K. Adnan and Nada A. Z. Abdullah
Abstract:

One of the foremost difficulties of recent Information Retrieval (IR) systems is the vocabulary problem. One way of processing the vocabulary problem is by using a thesaurus (usually semantic), Query expansion mechanism has an remarkable solution for attaining a perfect answer to a user inquiry whereas preserve the quality of retained documents. This at most depends on an accurate choice of the added terms to an initial query. This paper proposes a system for Arabic Information Retrieval System that can be used to expand the Arabic query automatically. The Arabic Query Expansion (AQE) system used the Arabic WordNet for producing thesaurus and Cuckoo algorithm to select the most relevant documents. The AQE system applied on standard dataset, which is called (Xnh4500) that contains 4500 documents distributed over eight classes. The investigational results show that the AQE proposed system outperforms the comparative system and has accomplished high accuracy, precision, recall and F1-measure about (76%, 95% and 83%) in the standard dataset respectively.

   

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Title: DFT analysis of power spectral density on EEG signals for diagnostic understanding of epilepsy
Author (s): Alpika Tripathi, Geetika Srivastava, K. K. Singh and P. K. Maurya
Abstract:

A chronic neurological disorder, Epilepsy affects the nervous system and it also affects nearly 1% of worldwide population. Epilepsy is also known as a seizure disorder and it is usually diagnosed after a person had at least two seizures that were not caused by some known medical conditions. The aim of this paper is to provide a new epileptic seizure prediction technique using EEG signal spectrum analysis. The DFT (Discrete Fourier Transform) analysis of PSD (Power Spectral Density) of frequency components of EEG signals are used for diagnosis of Epilepsy disorder. The results show and accuracy of about 98% and gives accurate differentiation differentiated between normal subjects and subjects with epilepsy.

   

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Title: Foundation of a mathematical method for analysis of voice commands
Author (s): Tymchenko S. E., Tymchenko E. M., Vlasov S. F., Vlasov V. S., Kovalenko V. L. and Kotok V. A.
Abstract:

Development of solutions for problems of automatic speech recognition and understanding is getting more and more scientific and practical value. The aim of the work is to evaluate the effectiveness of using mathematical method for recognition of speech sounds. State of the problem was analyzed, requirements to developed algorithm were reviewed and method for solving the set problem have been chosen. A hypothesis has been proposing that each sound has its own specific spectra and the possibility of realizing recognition of individual speech sounds regardless of speakers have been studied. Analysis of the experimental data was conducted. Spectra of recorded sounds were compiled and algorithms based on discrete Fourier transform were chosen for their processing. To evaluate the quality of speech recognition (probability of correct recognition), the program was used to process all 180 recorded sounds (6 for 30 voices) and data on a number of correct and false recognitions for each sound with all four methods was compiled. The obtained data were used to develop and programmatically implement an algorithm for recognition of vowel sounds. The program realizes few different algorithms for sound recognition and outputs result for each of them and total recognition result. The novelty of technical solution is in that developed system is able to recognize sounds with a sufficient degree of probability without the need for pre-processing. The practical value of the project is in the realization of vowel sound recognition as a fragment of a new approach to the development of a system for voice command recognition for Slavic language family. Result for algorithm revealed that for proposed method, the probability of correct recognition is higher than 84%, which allows concluding that proposed method can be used for development of fundamentally new approach in recognition of voice command for multi-user systems with voice control.

   

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Title: Optimizing irrigation efficiency of Al-Kamaliya irrigation canal
Author (s): Ayad Talib, Husam H. Alwan and Zuhair A. W. AL Jwahery

Abstract:

Irrigation Management is important since it helps determine future Irrigation expectations The goal of irrigation management is to use water in the most profitable way at sustainable production levels.. This study achieved to develop the optimized irrigation of AL- Kamaliya irrigation project in province of Karbala in Iraq and improve its operation by predicting better irrigation efficiency with respect to the area of lands and the cost of cubic meter of water. The study showed that it could optimize the irrigation efficiency according to the area and cost of cubic meter of water in order to serve the project efficiently.

   

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Title: Investigation in different type of wavelet transform decomposition for different type of biomedical signals
Author (s): Ibrahim Amer Ibrahim and Yasir Salam Abdulghafoor Al-khafaji
Abstract:

Most of the biomedical signals are complex, weak, un-uniform and unsymmetrical signals; therefore the wavelet decomposing is a useful tool for finding the information in these biomedical signals. However, in this paper we searched and found the proper wavelet transform decomposing method from different type of wavelet transforms decomposing methods of different Electroencephalography (EEG) signals in which it had lower root mean square error (RMSE) and higher signal to noise ratio (SNR) from the decomposing process. The paper contains two main parts: part I: comparing different wavelet transforms decomposing methods ( in case of type, level, and order) for decomposing also a different type of biomedical signals Electrocardiogram (ECG), Electromyography (EMG) & EEG) signals. Part II: in this part, specify the best type of Discrete Wavelet Transform (DWT) filter and it's order. This filter will be selected as comfortable type for decomposing process for each type of biomedical signals. The results showed that the (bior2.4) mother’s wavelet for DWT had the lowest RMSE and the highest SNR for all types of collected biomedical signals that used in this work. Therefore, (bior) filter of order (2.4) is considered the more suitable and efficient filter for all types of biomedical signals used. However, it was clearly identified that the (sym9) DWT filter was the worst filter that used in the decomposition of all biomedical signals used. Moreover, the result showed that the ECG signals had the highest RMSE and lowest SNR for all DWT filter used.

   

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Title: Incorporation cloud point extraction with liquid ion exchange for separation and determination of iron (III)
Author (s): Shawket K. Jawad and Rana K. Ridha
Abstract:

Joined cloud point extraction with liquid ion exchange used as sensitive method for separation and determination iron (III) the study appear the wave length of extreme absorbance for ion pair association complex of Fe3+has been (?max=349nm), so the preparation of ion pair complex need 0.3M HClin the presence of 100µg Fe3+/10mL and 0.5mL of TritonX-100 , with heating at 80şC for 30min.and the thermodynamic data for extraction was ΔHex=0.128kJmol-1, ΔGex=-61.2kJ.mol-1, ΔSex=173.73J.mol-1.K-1. As well as the experimental studies shows there is un effect for electrolyte and interferences, so the stoichiometry appear the more feasible structure of ion pair association complex extracted was 1:1 (AYGG: FeCl4-), as well as the study include application for determination Fe (III) in different samples.

   

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Title: Electric and magnetic fields analysis of Traveling Wave Induction Heating
Author (s): Lina J. Rashad and Fadhil A. Hasan
Abstract:

The analysis of the electromagnetic problem is the dominant aspect to investigate the performance of the induction heating process. There are two universal analysis methods; the mathematical and numerical methods, each of them has its own advantages and drawbacks. This paper presents a comprehensive analysis of the electromagnetic problem, for the Traveling Wave Induction Heating (TWIH) system, by the aid of mathematical analytical approach. The 2-dimensional model is analyzed and the solution of the electromagnetic field is concern on investigation the behaviour of the magnetic field attenuation, material impedance, normal forces between the heater and material, the air gap flux, eddy current density, produced power, magnetizing reactance and effective workpiece resistance. The analytical results are verified by comparing them with that of the numerical analysis method. The comparison shows significant convergence between the presented analytical method and the numerical analysis method. The percentage errors between the two methods, for both of eddy current density and averaged power, are very acceptable for major analysis requirements. The proposed model can replace the numerical model in an efficient manner in terms of the accuracy of the results in addition to reducing the computation time and the provision of effort in building the numerical model.

   

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Title: Literature review of authentication layer for public cloud computing: A meta-analysis
Author (s): Abdalla Eldow, Mohanaad Shakir, Mohammed Ahmed Talab and Ahmed Kh. Muttar
Abstract:

Cloud computing is a rapidly growing technology due to its highly flexible uses and applications. It also has other features such as simplicity, quick data access and reduced data storage costs. Consequently, it has been widely used by many organizations. This widespread use of cloud computing among organizations causes many security issues. Moreover, cloud computing layers are likely to be jeopardized by many security risks such as privileged8user access, data location, data segregation, and data recovery. This paper aims to prepare an ample debate of a literature review-based studies that provided important insights to researchers in the scope of security cloud computing. The researcher applied a relevant set of keywords. These keywords are limited to the title, abstract and keywords search archives published between 2010 and June 2018. The database search returned a total of 308 publications. In addition, we conducted backward-forward searches from the reference lists of relevant, quality previous works on the security framework in public cloud computing studies. Then, the researcher filtered the publications to only full text access articles that were written in English only. Finally, this study obtained a many publication. The findings of this paper address many important points such as in this study is recommended to apply behavior recognition with password for improving authentication layer performance in cloud computing. This study finds most of current studies neglected the present of human factor in password-based authentication, and learnability in password-based authentication is highly weak. Despite this, very few studies have adopted the behavior recognition with password in public cloud.

   

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Title: IM-REAST: An improved reliable, energy aware and stable topology for Wireless Body Bio-Sensor Networks in health-care systems
Author (s): Rajendra Prasad and Polaiah Bojja
Abstract:

Rising medical expenses and increased life expectation impose big issues for proper health care and monitoring. Wireless Body Bio-Sensor Networks (WBBSNs), a set of tiny bio-sensor nodes attached within, on and/or around the patient body, were placed to meet this requirement. Due to patient body postural change, ultra short range radio links and random RF attenuation lead to on-body topology disconnections occur, which results more energy consumption and network lifetime is reduced. To address these issues we proposed, an IM proved Reliable, Energy Aware and Stable Topology (IM-REAST) protocol to maximize network stability period and minimize energy consumed by bio-sensor nodes on-body topology for WBBSNs. This algorithm applies the mixed mode communication between bio-senor nodes and the sink, which employs a new forwarder function for selection of forwarder node. This mixed mode communication reduces the energy consumption of the network and maximizes the network lifetime. This paper provides a comparison of three of the routing protocols, SIMPLE, ATTEMPT and proposed. The comparison is performed at the 2.4 GHz frequency (IEEE 802.15.4) on- body bio-sensor set-up. The proposed protocol performances are compared in terms of stability of network, residual energy, packet received at sink and path loss and simulation results shows that performance of overall network is improved by 25% as compared with SIMPLE and ATTEMPT protocols.

   

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Title: Design the upper limb exoskeleton arm for reinforcement the weakness in the human muscles
Author (s): Duha Qais Abd-ul-Amir, Auns Qusai Hashim and Abdulnasir Hussin Ameer
Abstract:

There is a group of patients especially stroke and spinal cord injury that suffering from loss of moving in a particular limb or have hemiplegia needs continuously physiotherapy exercises in order to restore the movement of the limb even a fraction. So, in this study, a device was designed to perform the physical therapy for this group of patients in order to rehabilitate the affected limb. This device called Exoskeleton. The basic principles of the exoskeleton are its dependence on electromyography signal; MyoWare sensor was used to measure surface electromyography signal, this signal goes to the microcontroller which in turn gives the order to the motor to move the actuator arm through a Bowden cable. The exoskeleton is one degree of freedom performs the flexion and extension of the elbow joint. After the design was completed, the exoskeleton was examined on 4 normal persons and then applied to 15 stroke patients and 4 spinal cord injury patients. After several sessions of physiotherapy exercises, the results showed that the benefit of the exoskeleton in strengthening the muscles as well as in increasing the elbow range of motion and in this way the exoskeleton has proven its possible to perform physiotherapy exercises, especially for stroke patients.

   

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Title: A study of several algorithms for pseudo-random generator based on field programmable gate array (FPGA)
Author (s): Mochamad Hafiddin Ruslih, Tito Waluyo Purboyo and Anton Siswo Raharjo Ansori
Abstract:

The Procedural Content Generator (PCG) is a program for game content that uses a random number or pseudo number and value randomization process that produces a variety of random and unexpected game spaces. Many of the games use random number to increase the long duration of the game, and some rely heavily on procedural content creation techniques as makers of pseudo-random generator numbers (PRNG). The article discusses the condition of pseudo-random in combined with algorithm or a composite random number maker (CRNG). The aim is to develop and to improve the basic concepts of pseudo itself and discuss various forms of popular algorithms from random number makers and explain some new randomization algorithms. We present a method of comparing algorithms from FPGA that is needed for the implementation of PRNG and maximum operating systems. The randomization algorithms can be used for cryptographic generation, safely in stream ciphers.

   

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Title: Scientific results of research of vegetable crops drip and in-soil irrigation
Author (s): A. S. Ovchinnikov, V. S. Bocharnikov, V. V. Borodychev, O. V. Bocharnikova, M. P. Mecheryakov, S. D. Fomin and E. S. Vorontsova
Abstract:

Scientific researches with studying of in-soil and drip irrigation systems operation in production conditions on sweet pepper “Belozerka” sort sowings were carried. Experimental production area with surface of 1 ha is located in the Northern part of the Volga-Akhtuba floodplain on the right bank of the river Akhtuba. It has been obtained the maximum yield of sweet pepper crop: in case of in-soil irrigation of 59.1 tons per hectare and in case of drip irrigation - 66.2 tons per hectare in our experiments with irrigation regime 80% of field moisture capacity (FMC). It can be made a conclusion on the basis of performed researches, that the most rational spread of irrigation water and maximum productivity of sweet pepper crop plants ensure by maintaining of pre-irrigation moisture degree at the level of 80% of FMC in case of performing of in-soil watering with 269 m3/ha norm and drip watering with 253 m3/ha norm in Volga-Akhtuba floodplain conditions.

   

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Title: Enhance prediction of autism spectrum disorder using adaptive Bayesian classifier
Author (s): D. Umanandhini and G. Kalpana
Abstract:

Classification plays a major role in the medical field to predict diseases. The prediction analyzes the relation between the expected information and the available information. It’s the duty of the classifier to make a classification in an efficient manner to predict diseases accurately. Misclassification may lead to a high risk to the individuals. In this paper, an adaptive Bayesian classifier is proposed to efficiently classify the autism spectrum disorder among children, where it is considered a serious and increasing medical problem among the children. Autism spectrum disorder cannot be detected like other diseases. The proposed classifier is designed to check the classification accuracy based on the threshold value, when the result did not meet the threshold value then the reclassification will be preceded. Also, the proposed classifier is designed to check the hidden patterns in the dataset to overcome the delay in classification. This research work uses the benchmark performance metrics to evaluate its performance. The result shows that the proposed classifier outperforms the baseline classifier by giving the better classification accuracy in low delay.

   

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Title: Retrospective delay analysis in construction projects of Iraq
Author (s): Mohammed T. Almusawi and Kadhim R. Erzaij
Abstract:

Construction projects are commonly acknowledged as successful when it is completed at the specific time, within budget, and according to the specifications. The delay of projects has negative effects on the value of the contract because it is related to the elements of the expensive resources which often lead to claims or arbitration. However, the projects that investigated in this study included construction of ten hospitals with 400 beds in different cities of Iraq. A frequency, severity and importance indexes were determined for 77 factors of delay divided into ten categorizations according to the stages of the project, The results showed that the weakness of technical offers of companies nominated to assignment as a result of adopting the principle of the lowest bid price in the government tendering and ineffective delay penalties by the employer in addition to Poor planning and scheduling the project by the contractor were the major causes that delayed the projects in the middle and southern Iraq.

   

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