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Machinability of inconel 718 during face mill
No full textIn the present study, 8 experiments were
conducted in dry cutting and compressed air using full
factorial design. The controlled parameters are the
cutting speed (20-40 m/min), the feed rate (0.1-0.2
mm/tooth) and the fixed depth of cut (0.1 mm),
respectively. The result depicted that the duration of tool
life can be extended up 46.3 min with lowest Ra value
of 0.8 µm by adopting the compressed air. Besides, the
optimum cutting force is 5.32 N
Relationship between non-ionizing radiation (NIR) exposure level and the base station tower installation around Kuala Nerus
No full textThe rapid development of wireless technology nowadays has led to the increases of
erection of base station telecommunication (BST). However, the exposure transmitted from BST
generated the public concern on health problem because it is said can causes high risk to the
human and surroundings. Therefore, this study will focused on the influence of selected BST
installed around Kuala Nerus towards the ambient NIR exposure value at surroundings. By using
spectrum analyzer connected to receiving omni-directional antenna, the NIR exposure level in
terms of electric field (EF) strength is measured horizontally at 50 m until 500 m around the
BSTs. The comparison between the measured values and the international reference levels of
ICNIRP were done. Besides, the exposure values were compared among the BSTs area by
considering the other influenced factors at surroundings. The result shows that the highest
exposure level was recorded at BST located in sub-urban area and has the higher number of
antennas installed on the top. It can be concluded that the number of BST nearby, the number of
antennas, the direction of the antenna and the presence of other sources influenced the ambient
NIR exposure at that area
حقوق أطفال التوحد وأسرهم في إطار الشريعة الإسلامية
No full textAutistic children suffer from many problems and challenges that affect their role in serving the
society. The autistic child needs specialized care, great attention and careful monitoring by his
family. This is a double burden on the child and the family, which making them unable to
integrate and engage in the society and here lies the problem of the research. In this paper, the
researcher wishes to mention the role of Islam in taking into consideration the conditions of
people with developmental disabilities, in addition to knowing their rights and the rights of their
families, using the descriptive analytical approach and the deductive approach. The results
showed the greatness of Islam in dealing with this category and other various disabilities by
giving them the most basic rights to provide a decent life for everyone regardless of shape,
color, sex or class, in addition to satisfy all the needs in accordance with Islamic rules
Concepts extraction in ontology learning using language patterns for better accuracy
No full textThe identification of concepts and relations via automatic or semiautomatic are tasks in Ontology Learning. The Ontology Learning is important in minimizing effort of ontology development. It has been used in many disciplines including development of Quran ontology. In the Quran ontology development, there have been efforts to identify concepts and relations for ontology development using various methods. Among the methods employed to discover concepts is a regex pattern. The pattern is based on NLP which use tagging in their rules. This paper proposed a method that used patterns to extract concepts for Hajj Ontology development. It also has been compared against a prominence Ontology Learning system i.e. Text2Onto. The patterns also have been compared with Qterm pattern which is specifically designed for Solah domain in the Quran. Results indicate that the proposed patterns improve the precision with 82.4% and recall with 85.7% as compared to the both approaches
Demand analysis of flood insurance by using logistic regression model and genetic algorithm
No full textCitarum River floods in the area of South Bandung Indonesia, often resulting damage to some buildings belonging to
the people living in the vicinity. One effort to alleviate the risk of building damage is to have flood insurance. The main
obstacle is not all people in the Citarum basin decide to buy flood insurance. In this paper, we intend to analyse the
decision to buy flood insurance. It is assumed that there are eight variables that influence the decision of purchasing
flood assurance, include: income level, education level, house distance with river, building election with road, flood
frequency experience, flood prediction, perception on insurance company, and perception towards government effort
in handling flood. The analysis was done by using logistic regression model, and to estimate model parameters, it is
done with genetic algorithm. The results of the analysis shows that eight variables analysed significantly influence the
demand of flood insurance. These results are expected to be considered for insurance companies, to influence the
decision of the community to be willing to buy flood insurance
A new concept of fuzzy TOPSIS and fuzzy logic in a multi-criteria decision
No full textIn reality, humans usually uncertainty or vague in expressing their preference or votes based on crisp number or scale.
Much of the information on which decision are based is uncertain, the methods can be used to support the system's
decision is to use Fuzzy Multi-Criteria Decision Making (FMCDM). This method was chosen because it can selecting the
best alternative from a number of alternatives Criteria. Fuzzy Multi-Criteria Decision Making (FMCDM) is a method of
decision-making to determine the best alternative from a number of alternatives based on certain criteria. The criteria
usually in the form of action, rules or standards used in decision making. The lack of capability to handle vagueness in
the decision making, has been main weakness of Fuzzy TOPSIS. Thus, the purpose of this paper is to introduce Fuzzy
TOPSIS and z-number to several criteria fuzzy group decision making (FMCDM). Fuzzy TOPSIS is used to determine the
alternative most suitable in relation to different selection criteria and z-number to present experts reability, this
method can choose the best alternative from a number of alternatives based on some specific criteria. A numerical
example on FMCDM is used to describe the efficiency of the proposed method
PM10 EMISSION INVENTORY OF INDUSTRIAL AND ROAD TRANSPORT VEHICLES IN KLANG VALLEY, PENINSULAR MALAYSIA
No full textRapid development in industrial and road transportation sector in developing countries has contributing the environmental issue. Determining the estimated PM 10 emission in Klang Valley, Malaysia is based on the best available resources. Emission of PM 10 from both sources was estimated particularly from numbers of industries (industrial area and emission factor) and the usage of motor vehicles (traffic volume, vehicle kilometer travel and emission factor). The PM 10 emission from both industrial and road transportation sector were 88.59 tonne PM 10 /year and 32.36 tonne PM 10 /year respectively. Thus, the total estimated PM 10 emission was 120.95 tonne PM 10 /year. Therefore, the PM 10 emission from both sources in Klang Valley can be estimated based on the best available resources due to limitation of actual PM 10 emission from both sector
DETERMINATION OF SIGNIFICANT VARIABLES TO PARTICULATE MATTER (PM10) VARIATIONS IN NORTHERN REGION, MALAYSIA DURING HAZE EPISODES (2006-2015)
No full textThe most substantial air pollutant variables during haze episode in Northern region for 10-consecutive years (2006-2015) were analyzed and highlighted. ANN together with SAPCR were integrated to identify the variables contributed to fluctuation of particulate matter (PM 10 ) during haze period. 13 variables including air pollutant and meteorological factor were included as explorable variables. The humidity, wind speed and ozone were recognized as determinant to PM 10 variation during haze from 2006-2015. Three artificial neural models were created based on all parameters, leave-out method and PCR-factor loading. The best model will be selected based on a few criterions like determination of coefficient, R 2 , root-mean-square-error and squared sum of all errors. ANN-HM-LO was a better model than ANN-HM-PCR in overall prediction performance with R 2 result for ANN-HM-LO was 0.839, whilst ANN-HM-PCR was just 0.801
Exploring Parental Perception towards Children’s Activities
No full textThis study aimed to identify parents’ perceptions
towards children’s activities such as structured games (puzzles,
construction toys, swim and soccer), unstructured games
(outdoor play, art, craft, dress-up, pretend play and musical
play) and screen time (video game, play stations, smart phone
and watching movies or TV). The total number of 333 parents in
Malaysia who had children aged of three years old and below
had participated in this study. The questionnaire was
constructed according to the game perception scales. This study
adopted descriptive analysis approach and the findings were
recorded using frequency and percentage. The findings revealed
that the majority of children under the age of three years old
spent approximately 2 hours daily in structured games which
equal to 27% (n=91). Meanwhile, the time allocated by the
children when playing unstructured games was 3 hours daily
rank roughly up to 27% (n=90) and 2 hours 28% (n=93) was
utilized daily by the children on screen time. Nevertheless, the
development of children can be nurtured by playing games
whether it is structured or unstructured because children can
easily absorb what is happening around them and turned it into
a value that they will later learn. Hence, parents play an essential
role in shaping the early growth of their children