Estimation of fines amount in syariah criminal offences using adaptive neuro-fuzzy inference system (ANFIS) enhanced with analytic hierarchy process (AHP)

All syariah criminal cases, especially in khalwat offence have their case-fact, and the judges typically look forward to all the facts which were tabulated by the prosecutors. A variety of criteria is considered by the judge to determine the fines amount that should be imposed on an accused who pleads guilty. In Terengganu, there were ten (10) judges, and the judgments were made by the individual decision upon the trial to decide the case. Each judge has a stake, principles and distinctive criteria in determining fines amount on an accused who pleads guilty and convicted. This research paper presents an Adaptive Neuro-fuzzy Inference System (ANFIS) technique combining with Analytic Hierarchy Process (AHP) for estimating fines amount in Syariah (khalwat) criminal. Datasets were collected under the supervision of registrar and syarie judge in the Department of Syariah Judiciary State Of Terengganu, Malaysia. The results showed that ANFIS+AHP could estimate fines efficiently than the traditional method with a very minimal error

Estimation of Fines Amount in Syariah Criminal Offences Using Adaptive Neuro-Fuzzy Inference System (ANFIS)

All Syariah criminal cases, especially in khalwat offence have its own case-fact, and the judges typically look forward all the facts which were tabulated by the prosecutors. A variety of criteria is considered by the judge to determine the fines amount that should be imposed on an accused who pleads guilty. In Terengganu, there were ten (10) judges, and the judgments were made by individual ijtihad upon the trial to decide the case. Each judge has a stake, principles and distinctive criteria in deciding fines amount on an accused who pleads guilty and convicted. This research paper presents Adaptive Neuro-fuzzy Inference System (ANFIS) technique for estimating fines amount in Syariah (khalwat) criminal. Data sets were collected under the supervision of registrar and syarie judge in the Department of Syariah Judiciary State Of Terengganu, Malaysia. The results showed that ANFIS could estimate fines efficiently than the traditional method with a very minimal error

Thermal and hydrodynamic performance of a microchannel heat sink cooled with carbon nanotubes nanofluid

The microchannel heat sink (MCHS) has been established as an effective heat removal system in electronic chip packaging. With increasing power demand, research has advanced beyond the conventional coolants of air and water towards nanofluids with their enhanced heat transfer capabilities. This research had been carried out on the optimization of the thermal and hydrodynamic performance of a rectangular microchannel heat sink (MCHS) cooled with carbon nanotube (CNT) nanofluid, a coolant that has recently been discovered with improved thermal conductivity. Unlike the common nanofluids with spherical particles, nanotubes generally come in cylindrical structure characterized with different aspect ratios. A volume concentration of 0.1% of the CNT nanofluid is used here; the nanotubes have an average diameter and length of 9.2 nm and 1.5 mm respectively. The nanofluid has a density of 1800 kg/m3 with carbon purity 90% by weight having lignin as the surfactant. The approach used for the optimization process is based on the thermal resistance model and it is analyzed by using the non-dominated sorting multi-objective genetic algorithm. Optimized outcomes include the channel aspect ratio and the channel wall ratio at the optimal values of thermal resistance and pumping power. The optimized results show that, at high operating temperature of 40°C the use of CNT nanofluid reduces the total thermal resistance by 3% compared to at 20°C and consequently improve the thermal performance of the fluid. In terms of the hydrodynamic performance, the pumping power is also being reduced significantly by 35% at 40°C compared to the lower operating temperatur

Time-Course of Changes in Inflammatory Response after Whole-Body Cryotherapy Multi Exposures following Severe Exercise

The objectives of the present investigation was to analyze the effect of two different recovery modalities on classical markers of exercise-induced muscle damage (EIMD) and inflammation obtained after a simulated trail running race. Endurance trained males (n = 11) completed two experimental trials separated by 1 month in a randomized crossover design; one trial involved passive recovery (PAS), the other a specific whole body cryotherapy (WBC) for 96 h post-exercise (repeated each day). For each trial, subjects performed a 48 min running treadmill exercise followed by PAS or WBC. The Interleukin (IL) -1 (IL-1), IL-6, IL-10, tumor necrosis factor alpha (TNF-α), protein C-reactive (CRP) and white blood cells count were measured at rest, immediately post-exercise, and at 24, 48, 72, 96 h in post-exercise recovery. A significant time effect was observed to characterize an inflammatory state (Pre vs. Post) following the exercise bout in all conditions (p<0.05). Indeed, IL-1β (Post 1 h) and CRP (Post 24 h) levels decreased and IL-1ra (Post 1 h) increased following WBC when compared to PAS. In WBC condition (p<0.05), TNF-α, IL-10 and IL-6 remain unchanged compared to PAS condition. Overall, the results indicated that the WBC was effective in reducing the inflammatory process. These results may be explained by vasoconstriction at muscular level, and both the decrease in cytokines activity pro-inflammatory, and increase in cytokines anti-inflammatory

Worldwide clinical intensive care registries response to the pandemic : An international survey

Funding Information: Dr. Kumar is partially supported by Wellcome Trust grant (WT-215522) for his role as National Coordinator, IRIS. Funding Information: Dr. Martin Sigurdsson is supported by Landspitali Science Fund for COVID19 related projects. Funding Information: Drs. Salluh and Soares are supported in part by individual research grants from CNPq and FAPERJ.Peer reviewe

Line tracking robot using vision systems

This project was about to build a robot that can detect straight white line using vision system (MATLAB). The aim of this paper was to prove that vision system can be used to detect line. The software that used was MATLAB R2010a. The project was divided into four phases. Phase 1: Hardware Design, Phase 2: Software Implementation and Phase 3: Hardware Interfacing. The main part for this project was about the software implementation. So, the paper will focus on the using of the MATLAB software. The main parts that used in the MATLAB software were Image Acquisition Toolbox and Image Processing Toolbox. The techniques that had been apply in the project were Image Enhancement Technique, Image Filtering Technique and Image Restoration Technique. The project had make realtime database using webcam. The function of the webcam was detecting line and then transmits the image data into the PC. After that, as the interfaced devices, PCI 1710 (Data Acquisition Card) was used to make connection between PC and the robo

Subsurface Geology and Mid-Continent Rift Intrusions of Chippewa County, WI

Color poster with text, maps, charts, and diagrams.The Precambrian geology of Chippewa County, WI is incredibly diverse but exposure is limited to weathered outcrops along streams. The purpose of this study was to better understand the subsurface geology, ~600 meters of exploration drill core, possessed by the Wisconsin Geologic and Natural History Survey at the Mt. Horeb Research Collections and Education Center (MHRCEC).University of Wisconsin--Eau Claire Office of Research and Sponsored Programs

Enhancement of stemming process for Malay illicit web content

Web filtering system is one of the systems use to prevent users from can access any web pages that contain illicit contents. There are six (6) phases included in web filtering process. One of them is pre-processing phase. In this phase, there are three main activities included; HTML parsing, stemming, and stopping. The main focus in this research is stemming process. Stemming process is used to remove any affixes that attached together in the input words from web pages to produce the correct root words. To date, the existing stemming algorithm in Malay language; Othman’s stemming algorithm and Sembok’s stemming algorithm still produce errors in the result. Hence, the errors from both stemming algorithm were analyzed. Few features were created to encounter the problems occurred in existing stemming algorithm. There are initial checking with dictionary, implementation of Rule 2 and also checking with additional dictionary that contains the illicit words not included in the initial dictionary. These new features were added in enhanced stemming algorithm.In order to check the effectiveness of the new features added in the enhanced stemming algorithm, few tests were done to the sample of web pages. Based from the test, the result shows that only 11% corrected words produced if the test is done by without checking with initial dictionary and 72% corrected words produced if the process starts with initial checking with dictionary. The result for the test for implementation of Rule 2 shows that by using Sembok’s algorithm it produced only 17% corrected words compared with enhanced stemming algorithm produced 62% corrected words. As conclusion, the implementation of new features in enhanced stemming algorithm can reduce the errors produce in Sembok’s stemming algorithm

PILOT STUDY: HARNESSING SOLAR THERMAL ENERGY USING THERMOELECTRIC GENERATOR THROUGH GREENHOUSE EFFECT

Bachelor'sBACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT