Soil compaction of peat under the influence of electrokinetic stabilization (EKS) treatment

This study aims to enhance the properties of peat such as, (shear strength, compressibility, permeability and liquid limit). Peat is considered as one of the problematic soil in construction projects all over the world, which covers about 4% land of the whole world while 8% of the total area of Malaysia and about (5.86%) of peat soil existing in Johor state. Low shear strength of peat may lead to massive loss of various sectors contributing toward any economic activities such as construction & agriculture projects. There are several issues related to peat stabilization which has become a priority to ensure that soft soil is stable & capable of supporting a load after treated by a suitable soil stabilization method. The problem can be finally reduced by applying stabilization treatment to enhance its properties. One of the known technique Electrokinetic Stabilization treatment, by applying an electric potential to stabilize soft soil. In this method, aluminum was used as an electrode with various voltage potential in the range of 110 to 150 V was applied on both cathode and anode electrode for the duration of 3 and 6 hours at the testing condition without & with a load of (50 kg). Soil parameters such as, shear strength

Study on Equilibrium of Sulfur Species in Model Oil with Ionic Liquid

Extraction of thianaphthene, one of the long sulfur chain existed in crude oil from model oil (which is dodecane in this study) is experimentally carried out by using an ionic liquid 1-butyl-3-methylimidazolium octyl sulfate. Result from the experiment is expressed as a ternary diagram. The objective of this study is to investigate the efficiency of the experimented ionic liquid as an extractor of long sulfur chain from model oil which can be used later to as a base comparison with another extractor. This report will be divided into 4 parts which consist of introduction, which includes abstract, problem statement, and objective scope of study. Next part of this report will be covered on literature review which includes a brief introduction on equilibrium, and material used in the study. Methodology will be in the third chapter as all the methodology used to conduct the experiment is reported in this section. At the end of the report, details on result and discussion will be explained on last part of the report which is part 4

Study on Equilibrium of Sulfur Species in Model Oil with Ionic Liquid

Extraction of thianaphthene, one of the long sulfur chain existed in crude oil from model oil (which is dodecane in this study) is experimentally carried out by using an ionic liquid 1-butyl-3-methylimidazolium octyl sulfate. Result from the experiment is expressed as a ternary diagram. The objective of this study is to investigate the efficiency of the experimented ionic liquid as an extractor of long sulfur chain from model oil which can be used later to as a base comparison with another extractor. This report will be divided into 4 parts which consist of introduction, which includes abstract, problem statement, and objective scope of study. Next part of this report will be covered on literature review which includes a brief introduction on equilibrium, and material used in the study. Methodology will be in the third chapter as all the methodology used to conduct the experiment is reported in this section. At the end of the report, details on result and discussion will be explained on last part of the report which is part 4

فعالية استخدام القصص المصورة في تكوين الجمل المفيدة لدى الطلبة في الفصل الرابع عدن الثانوي في المدرسة الثانويّة الدّينيّة بولاية كوالالمبور الاتّحاديّة = Effectiveness of using storyboards in forming useful sentences for form 4 students SMA MAIWP

استهدفت هذه الدراسة إلى مدى فعالية استخدام القصص المصورة في تكوين الجمل المفيدة لدى الطلبة في الفصل الرابع عدن الثانوي في مدرسة مجلس الشؤون الإسلامية الثانوية الدينية بولاية كوالالمبور الاتحادية. يواجه الطلبة المشكلة المتعلقة بتكوين جمل مفيدة في الامتحان. الجمل غير مفيدة وفيها أخطاء كثيرة نحويا وصرفيا وأسلوبيا. فبناء على هذه الظاهرة، يودّ الباحثون معرفة مدى فعالية استخدام القصص المصورة في حل هذه المشكلة لدى الطلبة. فتكونت العينة من 25 طالبا من الفصل الرابع عدن الثانوي. قد قام الباحثون بإعطاء الطلاب قائمة من الأسئلة وتوزيع الاستبانة المتعلقة بهذه الدراسة. وبعد تحليل النتائج وجدوا أن استخدام القصص المصورة يساعد الطلاب في تكوين الجمل المفيدة. والاعتماد عليه أثناء عملية التعليم والتعلم يجعل البيئة ممتعة. ********************************************************************************************* This study aimed at the effectiveness of the use of comics in the formation of sentences for the students in the Form 4 Aden in Sekolah Menengah Agama Majlis Agama Islam Wilayah Persekutuan. The students are facing problem of creating useful sentences in the exam. The sentences have many grammatically, morphologically and stylistically errors. Based on this phenomenon, the researchers would like to investigate the effectiveness of using storyboards to solve this problem among the students. The population sample consisted of 25 students from the Form 4 Aden in the school. The researchers gave the students a list of questions and distributed the questionnaire related to this study. After analyzing the results, the researchers found that using storyboards help the students form comics in forming the sentences. Furthermore, relying on this methode during the teaching and learning process will make the learning environment enjoyable

Differential Evolution Based Special Protection and Control Scheme for Contingency Monitoring of Transmission Line Overloading

In designing System Protection Schemes (SPSs) in a power system, protecting transmission lines against severe undesired conditions becomes a serious effort in minimizing line overloading. In this paper, a Special Protection and Control Scheme (SPCS) based on Differential Evolution (DE) algorithm for optimal generation rescheduling to mitigate line overloads in contingency conditions has been presented. Simulation results for various N − 1 contingency conditions within the considered power system under base case load are proposed and validated with those results from the Genetic Algorithm (GA). Minimum severity index has been undertaken as the objective function of this research work. The final results prove that the DE based algorithm gives better than GA in terms of the speed of convergence and minimum generation fuel cost. IEEE 30-bus test system was used to verify the effectiveness of the implemented methods

Analysis of Automotive Component Design for Reparation using Additive Manufacturing Technology

Remanufacturing is the most value added end-of-life vehicle (ELV) recovery strategy in which parts and components referred to as cores are returned to their next life cycle to as new-condition. Remanufacturing which involved several important steps namely disassembly, cleaning, inspection, repair, reassembly and testing are normally carried out by skilled and experienced workers. Advancement in enabling technologies such as Additive Manufacturing (AM) seemed capable of alleviating limitations in the manual repair and restoration of end-of-life cores. It is foreseen that AM can improve the efficiency of repair and restoration. However, there are several challenges in the restoration process such as limited accessibility to the inner diameter of parts, the presence of grooves, sharp edges and corners, as well as limitations in the types of materials used as filler powder and design that does not facilitate restoration using AM process. To date, there are limited reports on how products should be designed for restoration using AM and also on the capabilities of AM to conduct various kinds of restoration on ELV cores. This paper discusses the potential of AM for restoration based on the analysis of selected automotive components design. The paper concludes with suggestions on the need for design guidelines for AM restoration in view of automating the restoration process for product life cycle extension

Design Optimization of Components for Additive Manufacturing-Repair: An Exploration of Artificial Neural Network Requirements and Application

The integration of artificial intelligence (AI) in additive manufacturing (AM) technology is currently apromising and leading area of research for component repair and restoration. The Issues of high cost and timeconsumption for AM repair have been a subject of discussion among researchers in this field of study. Moreover,the potential challenges in dealing with complex components for repair and restoration in the (AM) domain requirethe establishment of a critical technical platform based on hybrid (AI). At this point, the proposed optimizationmethod must cover all important parameters for the complex configuration of structural components underrestoration. For the purpose of this study, a design optimization framework was developed using a MATLAB-SIMULINK mathematical model for AM solution purposes by improving the functionality and integration ofmonitoring. This improvement is based on facilitating the real-time identification of failures with accuracy andgiving a clear monitoring vision according to the intended targets like geometric distortions, residual stressesevaluation, and defect characterization. The improvement involves overcoming a number of challenges such as thepre-fabrication stage by expanding the data repository besides offering a theoretical set of algorithmic with someoptions that improve the current procedure. Also, this study will conclude and suggest a further framework andnew knowledge for restoration and product life cycle extension. This developed ANN can be used at the real paceof modeling the MATLAB-Simulink system and merged with another suitable algorithm to form a hybrid ANN.This model development using a neural network has attained a good manipulation of AM. The predicted data fromANN model that was determined and achieved in this study can be used to facilitate and enhance any further studyas base knowledge in merging the ANN with another AI to form a hybrid algorithm. &nbsp

Design Optimization of Components for Additive Manufacturing-Repair: An Exploration of Artificial Neural Network Requirements and Application

The integration of artificial intelligence (AI) in additive manufacturing (AM) technology is currently apromising and leading area of research for component repair and restoration. The Issues of high cost and timeconsumption for AM repair have been a subject of discussion among researchers in this field of study. Moreover,the potential challenges in dealing with complex components for repair and restoration in the (AM) domain requirethe establishment of a critical technical platform based on hybrid (AI). At this point, the proposed optimizationmethod must cover all important parameters for the complex configuration of structural components underrestoration. For the purpose of this study, a design optimization framework was developed using a MATLAB-SIMULINK mathematical model for AM solution purposes by improving the functionality and integration ofmonitoring. This improvement is based on facilitating the real-time identification of failures with accuracy andgiving a clear monitoring vision according to the intended targets like geometric distortions, residual stressesevaluation, and defect characterization. The improvement involves overcoming a number of challenges such as thepre-fabrication stage by expanding the data repository besides offering a theoretical set of algorithmic with someoptions that improve the current procedure. Also, this study will conclude and suggest a further framework andnew knowledge for restoration and product life cycle extension. This developed ANN can be used at the real paceof modeling the MATLAB-Simulink system and merged with another suitable algorithm to form a hybrid ANN.This model development using a neural network has attained a good manipulation of AM. The predicted data fromANN model that was determined and achieved in this study can be used to facilitate and enhance any further studyas base knowledge in merging the ANN with another AI to form a hybrid algorithm. &nbsp

The conventions concerning weapons of mass destruction and the extent of their application to the depleted uranium weapon

In view of the features and the dangerous effects of weapons of mass destruction, these weapons have been organized under international conventions. Some of these weapons have been internationally banned such as chemical and biological weapons. Others have been restricted like the nuclear weapons.Depleted uranium, which defined as a secondary result of uranium mining in nuclear reactors, have the same characteristics and effects of the latter weapons, but they have not been covered by any international convention so far.This constitutes a shortage in the international legislation requiring a treatment.This paper will be conducted through doctrinal approach; data will be collected through secondary source by examining the contribution of scholars in the field of law.The current research will try to clarify the possibility of application of conventions on weapons of mass destruction with respect to depleted uranium weapon