Showing papers in "International Advanced Research Journal in Science, Engineering and Technology in 2017"
TL;DR: A new era of errorless technology and superior science is witnessing, which involves the general concepts of artificial intelligence and machine learning.
Abstract: Long days ago, there was all kind of work which is only done by the humans. There were no such machines and technologies like today. At that time, science is not developed and technologies were not invented. So the working is totally dependent on the peoples and humans have recognised that “Today‟s science is the tomorrow‟s technology”. New superiorly advanced technologies are not less than blessing of god. Adaptive inventions for reducing the human work and bright future were invented which is simply called as Artificial Intelligence and Machine learning. Even though there were many false assumptions at the early beginning, we are witnessing a new era of errorless technology and superior science. This review involves the general concepts of artificial intelligence and machine learning.
19 citations
16 citations
TL;DR: In this paper, a study about the assessment of compensation and benefits in selected audit firms in the Kingdom of Bahrain has been conducted, where the authors used a descriptive survey method to analyze the perception of the employees of the audit firms.
Abstract: The study is about the assessment of compensation and benefits in selected audit firms in the Kingdom of Bahrain. The research study appraised the current status of compensation and benefits of the firms in terms of remuneration, allowance, promotion and incentives. Also, it endeavored to figure out the perceptions of the employees of the selected audit firms in the Kingdom of Bahrain on the level of effectiveness of compensation and benefits along with the same variables in order to establish a base for enhancement of performance of employees. The study used a descriptive survey method to analyze the perception on compensation and benefits in selected audit firms in the Kingdom of Bahrain. Also, this method is used to analyze the significant relationship of the perception of the employees along with the same variables. The respondents of the study were the 100 employees of the audit firms in the Kingdom of Bahrain. The primary tool in gathering data was the questionnaire. Secondary sources were utilized such as: books, articles, unpublished theses and other printed resources related to the study that were used to support and strengthen the findings of the study. Descriptive statistics were used to analyze and interpret the data gathered such as: weighted mean to identify the average perception of the respondents. T-test was used to calculate the difference in the perception of the respondents. The correlation assessed whether the means of two groups are statistically different from each other. The following were the major findings in the study: 1) The status of the employees' compensation and benefits in audit firms in Bahrain is found to be good as revealed by an overall mean score of 3.93. 2)The effectiveness of the employee performance in audit firms in the light of the four components of compensation and benefits is found to be effective. This is drawn from an overall mean score 3.98. 3) There is a significant relationship between employees’ compensation and benefits in audit firms in Bahrain and effectiveness of employee performance. The problems that encountered by employees in relation to compensation and benefits in audit firms in Bahrain include: a) Noncompliance between rises in salaries and rises in prices; b) Non-compliance between salaries of counterparts in other jobs; c) Allowances are not provided on fair criteria; d) Allowances are in accordance unaccepted criteria; e)There are non-clear basis for distribution of allowances such as productivity; f) Vagueness of the applied criteria for promotion; g) Absence of regulations to control the promotion procedures; and h) Lack of transparency in terms of incentives.
13 citations
13 citations
TL;DR: In this paper, the effect of heat treatment parameters, which is applied in order to achieve superelasticity and shape memory, on the nitinol microstructure was investigated.
Abstract: In this study, effect of heat treatment parameters, which is applied in order to achieve superelasticity and shape memory, on the nitinol microstructure was investigated. Nitinol is a commonly used material in cardiovascular and orthopedic implant production. Nitinol material used in this study has 50.59% Ni, 0.12% C, 0.0005% Cr, 0.003% Cu, 0.001% Co, 0.012% Fe, 0.1% O, <0.26% H andbalanceTi chemical composition (in at.%).Nitinol wires were heat treated at 540 °C, 550 °C, 560 °C and 570 °C for 10 minutes. Then, heat treatment was applied at 550 °C for 8, 9, 10, 11, 12, 13 and 14 minutes. Heat treated nitinol wires were characterized by optical microscope, Energy-dispersive Xray Spectroscopy (EDS) and mechanical tests.Results show that Ni4Ti3 phase was formed as a result of heat treatment. Heat treatment time and temperature affected amount, distribution and shapes of NiTi and Ni4Ti3 phases. Among heat treatment conditions, suitable microstructures were obtained at 540 °C and 550 °C heat treatment temperature and heat treatment times not exceeding 10 minutes. This finding was verified with mechanical tests.
12 citations
TL;DR: In this paper, the effectiveness of membrane bioreactor technology as a modern tool to minimize the water pollution level caused by noodle, curd, and infant food plants was analyzed on the monthly basis.
Abstract: Food industry requires a large quantity of water for various processes. Compared to other industrial sectors, food industry requires more water, used in throughout most of the plant operations, such as production, cleaning, sanitizing, cooling and materials transport, among others. The treatment mechanisms of contaminants in wastewater are highly dependent on the design and operational characteristics of the wastewater treatment plants (WWTPS). The membrane biological reactors (MBR) have proven to be efficient for the treatment of industrial wastewaters over conventional wastewater treatment plants when treatment efficiency is an important consideration. The present study aims to analyze effectiveness of membrane bioreactor technology as a modern tool to minimize the water pollution level caused by noodle, curd, and infant food plants. The analysis of pollutants in influent and effluent from food industry was done on the monthly basis. The pollution indicators (BOD, COD, total suspensions, temperature, appearance, and pH) of wastewater of food industry had high values but they remained within the range after treatment in the MBR. When analyzed at monthly intervals, 98% BOD5 and above 99%, COD removals were achieved. Overall efficiency of removed pollutants as COD, BOD and TSS from the wastewater was more than 90%. MBR technology is thus a better and advanced method to treat wastewater of food industries.
11 citations
TL;DR: It is essential to develop system to provide security to women and this system allows women to protect herself from attackers, and also allows her to give shock to the attacker with the help of system.
Abstract: Now-a-dayslife is full of rush and India is fastly moving on the path of being a promising super power and an economic hub. But this goal can be achieved if large number of woman participate in the development process. Today‟s modern women have acquired high offices in India including that of the president, prime minister, speaker of the loksabha and even in field of aeronautics, military, IPS, IAS, etc. Even today women have achieved top positions in job and society, yet they are facing problems such as physical harassment and sexual assault. The cases of harassment and rapes on women are increasing hence security issue for such woman is more important. So it is essential to develop system to provide security to women. The system allows women to protect herself from attackers. By pressing the button of the system a helping message along with her location will be transmitted by the system to the police station and her few relatives, so that they will get aware of her current situation. Along with the message she is also able to give shock to the attacker with the help of system. So she get some time to get rescue from that attacker.
11 citations
TL;DR: The theoretical aspects of association rule mining as well as implementation aspects also are focused on as part of an association rule generation using in healthcare especially for the viral infective diseases.
Abstract: Data mining is used to find out the meaningful information from the large dataset. Data mining plays vital role in various domains including healthcare, banking, retail, education, telecommunication, information security, finance etc. Association rule mining is one of the data mining techniques which plays vital role for analysis and decision making and it is used to find out the various patterns or association in the item set. The present study focuses on the theoretical aspects of association rule mining as well as implementation aspects also. The paper describes about the Association rule mining and an Apriori Algorithm. Also the paper discuss about the reviews of research work done in this filed by diverse researchers, scholars, organizations etc. This paper is intended towards an association rule generation using in healthcare especially for the viral infective diseases.
11 citations
TL;DR: A vehicle tracking system using GPS modem and GSM module and locking it down using remote mobile accessing to provide security to vehicle owners from theft and unauthorized access is presented.
Abstract: In this paper, we presented a vehicle tracking system using GPS modem and GSM module and locking it down using remote mobile accessing. The system is designed to provide security to vehicle owners from theft and unauthorized access. The system performs multiple operations which include:-When an unauthorized person tries to gain access of your vehicle, the information is analyzed using sensors and transmitted to user through GSM. The coordinates of the location of vehicle are sent via GPS. The controlling of vehicle is done through microcontroller. The doors of the vehicles and accelerator pedal are locked down when reading instructions from the user. The speed of the motor is gradually reduced and comes to a halt. By using the control concepts listed in the paper number of control features can be implemented in the same fashion.
11 citations
10 citations
TL;DR: The main goal of this online examination system is to effectively evaluate the student thoroughly through a totally automated system that not only reduce the required time but also obtain fast and accurate results.
Abstract: Online examination system is a web-based examination system where examinations are given online. either through the internet or intranet using computer system. The main goal of this online examination system is to effectively evaluate the student thoroughly through a totally automated system that not only reduce the required time but also obtain fast and accurate results.
TL;DR: In this paper, the authors present a literature study of the use of millimeter wave for 5G system and present the application requirements of 5G applications that require negligible inactivity.
Abstract: This paper presents the literature study of the research work on the use of millimeter wave for 5G system. The world wide data transmission deficiency confronting remote transporters has inspired the investigation of millimeter wave frequency range for future broadband cell communication systems. Millimeter waves which involve the frequencies from around 30GHz to 300GHz are among the most genuine contender for 5G technology. That offer an immense measure of unutilized or underutilized range. By expanding RF channel transmission capacity for portable radio channel, the information limit is incredibly expanded, supporting much better web get to and applications that requires negligible inactivity(minimum latency time).
TL;DR: In this paper, a step-stone approach was taken to assess Soybean oil base as oil base mud in order to conclude whether it is viable to be used as an OBM.
Abstract: Today, the use of diesel in oil base mud is either prohibited or severely condemned due to its environmental impact. It also faces the obstacle of high disposal costs enforced by regulations set to lessen the environmental damage caused. This is forcing the industry to shift away from its use as it is becoming less feasible to operate with. A substitute base mud should be formulated in order to decrease the environmental impact, simultaneously abiding by regulations and in turn lower the overall costs. The focus on formulating a substitute-based mud using vegetable oils rather than diesel oil is gaining strong ground in the oil industry. Of these vegetable oils, Soybean oil shows great potential in both its characteristics and formulation cost. This paper is a stepping-stone into researching the feasibility of this oil. It discusses the approach that will be taken to assess Soybean oil base as oil base mud in order to conclude whether it is viable to be used as an OBM. The experimental work carried out showed high potential of Soybean base mud in comparison to oil base in both physiochemical and rheological properties as an oil and drilling fluid, better thermal stability in HPHT wells, safe due to its fire capacity resistance. The prepared Soybean base mud will perform the same function as diesel base mud, but more efficiently with less frictional pressure losses. Finally Soybean oil base mud is less expensive than oil base mud with less environmental impact and can be applied in the industry.
TL;DR: An energy efficient outdoor light monitoring and control system that can monitor and handle outdoor lights more efficiently as compared to the conventional systems is proposed.
Abstract: In this project, we proposed an energy efficient outdoor light monitoring and control system that can monitor and handle outdoor lights more efficiently as compared to the conventional systems. The proposed system uses the GSM wireless devices which allow more efficient lamps management. The Energy Consumption of outdoor or a specific area can be recorded and account on Energy Saving Lighting System with integrated sensors and controllers. Moreover, errors which occur due to manual operation can also be eliminated. Also the outdoor lights can be switch ON/OFF through computer from central control station or can be automatic using light sensors embedded in the outdoor light pole circuit of the application. With these facilities the performance and life of the lamps will be increases.
TL;DR: In this article, a review describes the sources of acid mine drainage, pollutions created by AMD and also summarizes the method and application of active and passive techniques for treatment of AMD.
Abstract: Acid mine drainage is among one of the qualitative pollution created mainly by mining activities. Water drained from active or abandoned mine workings is often indicated by low pH (pH value less than 5.6) with high concentrations of heavy iron and metals sulfate. This water is commonly referred as AMD. Acid mine drainage (AMD) is known to be one of the most severe environmental problem throughout the world in the mining affecting the environment as well as the economics of metal and coal mining operations. Acid mine drainage is also called as \"acid rock drainage.\" This review describes the sources of AMD, pollutions created by AMD and also summarizes the method and application of active and passive techniques for treatment of AMD.
TL;DR: Survey on different detection and classification techniques for plant diseases and also image processing technique which is used for automatic, fast and accurate detection as well as classification of plant leaf diseases are presented.
Abstract: In the agriculture environment, the detection and classification of the plant disease system plays very important role. In this first leaf image is captured and uploaded to the system where this image is compared with another image which is stored in the database. Comparison is take place with the help of algorithm which is named as content based histogram algorithm. For detecting the leaf disease image processing is used. The Image processing consist color extraction and then affected area is compare. The system helps to initial precautionary measures. If proper care is not taken then it will affected on quality, quantity and finally on productivity. This paper presents survey on different detection and classification techniques for plant diseases and also image processing technique which is used for automatic, fast and accurate detection as well as classification of plant leaf diseases.
TL;DR: An overview of mlearning via the cloud computing technology is provided and a mobile application that teaches programming to young children as an example of this type of learning is introduced.
Abstract: With mobile learning (m-learning), the learner only needs to have a smartphone and access to the internet; with that, they can access all the resources they need to study without having to carry books around with them. Some of the advantages of m-learning include areduction in cost, elasticity, flexibility and collaborative learning. On the flipside, this method of learning has its drawbacks that include screen size and the battery life of the smart phone, distractions during the learning process, and internet charges. Since the advantages are on the higher side, it is important that the mobile learning be adopted by educational instotuties and training centres to enhance the quality and accessibility of learning. The introduction of new technology in m-learning such as ambient intelligence, location-based learning, and learning implants implies that mobile learning has a bright future. This paper provides an overview of mlearning via the cloud computing technology and introduces a mobile application that teaches programming to young children as an example of this type of learning.
TL;DR: In this article, a runoff model has been developed on the basis of SCS-CN method in the present study for predicting runoff, where the input parameters which influence runoff component vary spatially at micro levels.
Abstract: Rainfall, runoffs are the most important hydrological variables used in the most of the water resources applications. The information pertaining to occurrence of runoff further helps in water management practices. Runoff is normally generated on limited areas i.e. impervious or less impervious areas, saturated areas etc. Whereas neighboring vegetated areas do not generate any direct runoff. This needs to be taken into account of rainfall-runoff modeling and thus in the delineation of the areas. The input parameters which influence runoff component vary spatially at micro levels. A runoff model has been developed on the basis of SCS-CN method in the present study for predicting runoff.
TL;DR: A cost effective solution to the problem of railway track crack detection utilizing IR sensor array assembly which tracks the exact location of faulty track, then inform to nearby railway station through short messaging application, so that many lives will be saved.
Abstract: In this paper, we presented a railway track crack detection patrolling vehicle. Indian railway has one of the world's largest railway networks comprising 92,081 km (57,216 mi) of track over a route of 66,687 km (41,437 mi) and 7,216 stations.So,manualinspectionand detecting a crack on these railways tracks is very tedious process and consumes lot of time and human resource. This paper proposes a cost effective solution to the problem of railway track crack detection utilizing IR sensor array assembly which tracks the exact location of faulty track, then inform to nearby railway station through short messaging application, so that many lives will be saved. There are many advantages with this system when compared with the traditional detection techniques. It includes less cost, low power consumption and less analysis time.
TL;DR: In this article, the authors evaluate the trace metals accumulation by different parts (Foliage like part, Stem like part and reproductive part) of two species of Turbinaria such as T. ornata collected from Olaikuda, southeast coast of India to find the specific area which is mainly responsible for accumulation of high amount of heavy metals.
Abstract: Heavy metals pollution is a leading problem in aquatic environment. Many expensive techniques have been applied to treat seawater for removal of heavy metals. Heavy metals remediation by seaweeds is less cost-effective and eco-friendly method. The main aim of the present study is to evaluate the trace metals accumulation by different parts (Foliage like part, Stem like part and reproductive part) of two species of Turbinaria such as Turbinaria decurrens and Turbinaria ornata collected from Olaikuda, southeast coast of India. This is the first time study to estimate of heavy metals content of different parts Turbinaria decurrens and Turbinaria ornata to find the specific area which is mainly responsible for accumulation of high amount of heavy metals. ICP-MS (Inductively Coupled Plasma Mass Spectrometry) was used to estimate the trace metals content .This work reveals that the foliage part (leave like structure) and reproductive part of both species are accumulating highest amount of Pb, Cd, As, Fe and Cr. Turbinaria spp. are not edible for its quite hard and thorny morphological structure, but as they are accumulating heavy metals in high amount expectedly, both species will be utilized for removal of heavy metals from polluted area as bioremediator. From this study, it is concluded that both of the Turbinaria sp. will be used as bio-indicator of heavy metals pollution in the marine environment.
TL;DR: In this article, the authors introduce the concept of GSCM and its implication for TSCM, which is a research area focused on the product to become more environment friendly.
Abstract: Now-a-days, with increasing demand towards more eco friendly, organizations have become more responsible for their products and overall sustainability. To emulate in today’s challenging business environment, companies have to focus on GSCM that have great impact on enhancing on their performance. This paper aimed to introducing the concept of GSCM and its implication for TSCM. This paper also gives the basic difference between TSCM and GSCM. This study is introduced find out what is TSCM and how to redefine the basic structure of TSCM, also explore major factors included in GSCM. GSCM is research area focused on the product to become more environment friendly. This paper conceptualizes the influences of the adoption of GSCM practices in organizational performance. This paper exposes the introduction of GSCM by taking Wal-Mart as an example.
TL;DR: In this article, the authors used finite element analysis (FEA) for the design and vibration analysis of an automobile gearbox element shaft with gear using the ANSYS workbench.
Abstract: This paper contains the study about design and vibration analysis for automobile gearbox element shaft with gear using Finite Element Analysis (FEA). Analysis include the study of equivalent stress and displacement response of the component. The threedimensional finite element model is constructed in ANSYS. The model is meshed and the boundary conditions with external loads are applied in ANSYS workbench. With the help of ANSYS software we find out the total deformation, equivalent stress which is response for noise and vibration of shaft with gear mounting.