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Volume 5, Issue No 3, September 2018

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Cover Page and Table of Content

Full Articles

Modified Baptista Type Chaotic Cryptosystem via the Mutation Technique Idea
Muhamad Azlan Daud; Mohd Mughti Hasni; Wardatul Akmam Din; Zahari Mahad. 2018. Transactions on Science and Technology, 5(3), 197 - 203
Abstract In 1998, M.S. Baptista proposes a chaos-based cryptography system using the ergodicity property of the simple low-dimensional and chaotic logistic equation. Each "letter" will have a particular site in the interval . However, over the years research has shown that this cryptosystem is predictable and vulnerable to attacks and is widely discussed. Among the weaknesses are the non-uniform distribution of ciphertexts and succumbing to the one-time pad attack (a type of chosen plaintext attack). In this paper, our objective is to modify the Baptista’s chaotic scheme proposed previously. We employ the mutation technique idea from GIC cryptosystem such that the cryptosystem would no longer succumb to the one-time pad attack. View article

Machine Learning Based Framework for Prediction of Diabetic Patient Readmission Rate in Hospitals
Chandan Srivastava. 2018. Transactions on Science and Technology, 5(3), 204 - 209
Abstract Diabetic Readmission Decision (DRD) model is imperative research contribution as hospitals indicator to avoid extra medical expenses and increase patient trust and care. Diabetes is a chronic medical disease, which may cause of high risk of readmission to hospital. However, clinical evidence says that glycemic control for inpatient and outpatient is less responsible for re- hospitalization rate. Current analysis over large patient data (demographic, medical & clinical) using machine learning methods support vector machine (SVM) for predicting readmission rate (risk score) and decision (Yes/No). Proposed model gives the low misclassification rate 0.27 with 72.42% sensitivity of identification for readmission. Overall analysis reflects that correct determination of HbA1c may reduce the risk of readmission and inpatient care cost. View article

Modelling the Demand for Fresh Meat in Malaysia
Nordiana Marjan Rusli; Assis Kamu. 2018. Transactions on Science and Technology, 5(3), 210 - 215
Abstract Malaysia is one of the most developing countries in Asia. Hence, there have been significant changes in Malaysians’ food preference. These changes in consumption pattern have some impact on agri food industry in Malaysia. One of the changes is the preference towards fresh meat such as beef, poultry, mutton and other meat. This research will be focusing on demand of poultry meat in Malaysia. Data from Household Expenditure Survey 2014 will be used in order to build a statistical model in estimating the demand for poultry meat. The development of the demand model will be based on best subsets regression approach. View article

Temperature and Salinity Profiling Analysis off Sarawak Waters, Malaysia
Ann Aletheia A. Manson; Ejria Saleh; Aazani Mujahid; Liew Juneng. 2018. Transactions on Science and Technology, 5(3), 216 - 220
Abstract Prime Scientific Sailing Expedition (EPSP 2009), was carried out in the South China Sea (SCS) along Sarawak waters for nine days from 20 to 29 June 2009. The main objective was to enhance physical oceanography data to support the management of marine ecosystem and other marine resources off Sarawak waters. The main purpose of this present study is to construct vertical temperature and salinity structures off Sarawak waters and to define the water properties based on differ water depths. The temperature and salinity data were obtained using Conductivity-Temperature-Depth (CTD) from sea surface down to 523 m water depth. The measurement was done along the transect line that consists of 60 sampling stations involved with furthest distance offshore at ~471 km. Vertical profiles of temperature, salinity and temperature-salinity (T-S) diagrams of each station were plotted and analyzed based on location and water depth. Offshore sampling stations at water depth greater than 50 m are known as deep waters while near shore sampling station at water depth less than 50m is known as shallow waters. The constructed vertical profiles showed that as water depth increases, salinity increases whereas temperature decreases. Comparison of minimum and maximum temperature range of shallow and deep waters is 15°C and 1°C respectively. However, there is only 0.71°C difference of salinity between minimum salinity of shallow waters and deep waters. The seawater variable of Sarawak waters are impacted by the distance from mainland and its geographical location as well as the rivers influx into the SCS. Constant climate change due to seasonal monsoon and high rainfall as it is located in the tropical region contribute to the spatial temperature and salinity in this area. High rivers runoff into the SCS can reduce the salinity of the water at coastal area. Salinity increases as sampling location further offshore. High rainfall may decreases water temperature and salinity at water surface. View article

Corrigenda

Corrigenda: Potential of Typha angustifolia L. in Removing Norethindrone From Water
Jie-Yinn Lee; Charles S. Vairappan; Kartini Saibeh. 2018. Transactions on Science and Technology, 5(3), 221 - 222
View article
This article corrects:
Potential of Typha angustifolia L. in Removing Norethindrone From Water
Jie-Yinn Lee; Charles S. Vairappan; Kartini Saibeh. 2018. Transactions on Science and Technology, 5(2), 58-67
Abstract Uncontrollable demand of pharmaceutical especially contraception drugs and poor performance of conventional wastewater treatment plants has resulted in the increasing concentration of pharmaceutical residues in natural environment. Phytotechnology (phytoremediation technology) such as constructed wetland has been introduced as post treatment before the effluent is discharged from wastewater treatment plants to natural water courses. In this context, a study was conducted to assess the potential of the macrophyte, Typha angustifolia to remove norethindrone. This evaluation was conducted in hydroponic solutions with 0.5 – 2.0 mg/L of norethindrone for a maximum period of 21 days. The removal efficiency of norethindrone from the water by T. angustifolia reached a value of 90% of the initial contents. The range of relative growth rates of T. angustifolia in the norethindrone treated assays was 1.821 – 2.589. The result obtained from this study suggests that T. angustifolia has high capability to adapt and crop the toxicity of norethindrone when it is applied in phytotreatment. View article





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