Current implementation of advance encryption standard (AES) S-Box

Although the attack on cryptosystem is still not severe, the development of the scheme is stillongoing especially for the design of S-Box. Two main approach has beenused, which areheuristic method and algebraic method. Algebraic method as in current AES implementationhas been proven to be the most secure S-Box design to date. This review paper willconcentrate on two kinds of method of constructing AES S-Box, which are algebraic approachand heuristic approach. The objective is to review a method of constructing S-Box, which arecomparable or close to the original construction of AES S-Box especially for the heuristicapproach. Finally, all the listed S-Boxes from these two methods will be compared in terms oftheir security performance which is nonlinearity and differential uniformity of the S-Box. Thefinding may offer the potential approach to develop a new S-Box that is better than theoriginal one.Keywords: block cipher; AES; S-Bo

Projection of Water Utilities for Customers in East Timor-Leste in Dili for Sustanaible Development Goals (SDGs) 2030

Water in human life has a very vital function. The daily activities of humans never escape from water. Starting from bathing, washing, cooking up to the elements of human body One is also composed of water. To obtain the projected results of population growth for the next 10 years, the calculation of water discharge in Dili City. Population projections with geometric methods use the assumption that the number of people will increase geometric. The rate of growth is considered the same for each year. Of the increase of population in the year 2017 population growth in Dili by 12.8% with a population of 234,062, used as a reference for the projected population for the next 10 years (2017-2027). Based on the increase of population used is 12.8% and the population is 10 years (2018-2027) for 2.395.75 inhabitants. The balance of clean water needs in urban clean water services

Geometric and process design of ultra-thin junctionless double gate vertical MOSFETs

The junctionless MOSFET architectures appear to be attractive in realizing the Moore’s law prediction. In this paper, a comprehensive 2-D simulation on junctionless vertical double-gate MOSFET (JLDGVM) under geometric and process consideration was introduced in order to obtain excellent electrical characteristics. Geometrical designs such as channel length (Lch) and pillar thickness (Tp) were considered and the impact on the electrical performance was analyzed. The influence of doping concentration and metal gate work function (WF) were further investigated for achieving better performance. The results show that the shorter Lch can boost the drain current (ID) of n-JLDGVM and p-JLDGVM by approximately 68% and 70% respectively. The ID of the n-JLVDGM and p-JLVDGM could possibly boost up to 42% and 78% respectively as the Tp is scaled down from 11nm to 8nm. The channel doping (Nch) is also a critical parameter, affecting the electrical performance of both n-JLDGVM and p-JLDGVM in which 15% and 39% improvements are observed in their respective ID as the concentration level is increased from 1E18 to 9E18 atom/cm3. In addition, the adjustment of threshold voltage can be realized by varying the metal WF

UPC barcode apps for drug registered verification

In pharmacology, drug is used to prevent and cure diseases and to improve the physical or mental well-being. All medicinal products must be registered with Drug Control Authority (DCA) of Malaysia before being marketed. However, there are still numerous unregistered products being sold in night markets and grocery stalls that contained unknown materials that could harm our bodies. As nowadays most people own smartphones, thus it will be great if the smartphone is being utilized to become a mobile apps that can prevent consumers from buying unregistered products. This study described the process of creating a barcode reader application for drug registered verification. The application is created using Android Studio software, Java programming language and source code from GitHub, which is then synchronized with the database of some medicinal products. The barcode scanner is then tested to read the UPC barcode on the products and the result of registration confirmation will be shown on the screen of the smartphone. Thus, it will aware the user from buying the unregistered products

Designing and Developing Smart Plant Information System

Pandemic COVID-19 have impacted the way of life of all people in the world. The effect continues worsened when our government-imposed lockdowns and every people need to stay home. Due to too long of staying at home, boredom become  one of the most reported negative psychological effects of the quarantine. It is undeniable that people of all ages enjoy gardening and planting. Hence, this pandemic time can be a golden opportunity for people to get outside of their compound and grow their interest in gardening. Thus, this project is designed to introduce the basic knowledge of plantations in easier and effective way. The system is applicable for multiple users who tend to learn more about plants and its plantation methods. Both men and women can start their own garden with proper planting methods. This system has been developed using several modules such as the leaf recognition using convolutional neural network (CNN), plant disease advice using knowledge based expert system and plant information using chatbot. The leaf recognition using CNN module will help the user to recognize a plant by providing the plant’s leaf image. The plant disease advice will diagnose the certain disease a plant might have by calculating the confidence level of provided symptoms of the disease. Finally, the plant information using chatbot module will provide information about plants by answering the user’s questions. It is hoped that this system could serve as the best smart plant information system to the user

2021 stars conference: student plenary

The Student Panel Session at the 2021 STARS Conference concluded the formal presentations for the event.&nbsp; At this session, students from the tertiary sector shared with delegates their personal experiences in higher education and thoughts concerning the messages and insights gained from the conference experience. The students had responded to an invitation from Student Voice Australia to participate in the conference, be part of the Panel, and were encouraged to attend the keynote presentations across the event.&nbsp; Delegates had the opportunity to present questions to the students.&nbsp; For the purposes of this feature, the editors have summarised and edited the transcript to present the key points of each discussion, including questions and comments from delegates. Panel members have approved the editorial interpretations of their comments.</jats:p

Performance analysis of ultrathin junctionless double gate vertical MOSFETs

The main challenge in MOSFET minituarization is to form an ultra-shallow source/drain (S/D) junction with high doping concentration gradient, which requires an intricate S/D and channel engineering. Junctionless MOSFET configuration is an alternative solution for this issue as the junction and doping gradients is totally eliminated. A process simulation has been developed to investigate the impact of junctionless configuration on the double-gate vertical MOSFET. The result proves that the performance of junctionless double-gate vertical MOSFETs (JLDGVM) are superior to the conventional junctioned double-gate vertical MOSFETs (JDGVM). The results reveal that the drain current (ID) of the n-JLVDGM and p-JLVDGM could be tremendously enhanced by 57% and 60% respectively as the junctionless configuration was applied to the double-gate vertical MOSFET. In addition, junctionless devices also exhibit larger ION/IOFF ratio and smaller subthreshold slope compared to the junction devices, implying that the junctionless devices have better power consumption and faster switching capability

A panel data approach towards the effectiveness of energy policies in fostering the implementation of solar photovoltaic technology: Empirical evidence for Asia-Pacific

Today, the growing Asia-Pacific population causes a dramatic growth in energy supply to meet energy demand. The rapid rise in energy demand is causing concern in the region. Thus, the present study scrutinizes the effect of energy policy involvement in steering-up renewable energy development by empirically assessing the role of policy instruments in encouraging residen-tial-scale and commercial-scale photovoltaic (PV) systems. The analysis is performed using a fixed effects estimator on a selected range of policy approaches (market-pull policies and tax incentives) and a technology-push policy (capital grants) in selected Asia-Pacific countries between 1998 and 2015. The return on investment is estimated to measure the incentives of feed-in tariff (FIT) tariff policies for both residential-scale and commercial-scale PV systems. This study has shown the im-portance of a strategic combination between technology-push and market-pull policies as comple-mentary to adopting technology and increasing renewable energy utilization for solar PV systems on a residential scale. Investigations into the effectiveness of regulatory support policies for solar PV systems indicate that energy policies are necessary to facilitate solar PV growth on a residential scale in the Asia-Pacific.info:eu-repo/semantics/publishedVersio

Tracing Technique for Blaster Attack

Blaster worm of 2003 is still persistent, the infection appears to have successfully transitioned to new hosts as the original systems are cleaned or shut off, suggesting that the Blaster worm, and other similar worms, will remain significant Internet threats for many years after their initial release. This paper is to propose technique on tracing the Blaster attack from various logs in different OSI layers based on fingerprint of Blaster attack on victim logs, attacker logs and IDS alert log. The researchers intended to do a preliminary investigation upon this particular attack so that it can be used for further research in alert correlation and computer forensic investigation

Data visualization of temporal ozone pollution between urban and sub-urban locations in Selangor Malaysia

In Malaysian environment, ground level zone has been reported as one of the most important pollutants that contribute to air quality degradation. The odourless and invisible nature of the pollutant has caused problems for individuals to realize and notice the existence of Ozone pollution in the environment. Thus, this study was conducted with the aim to assess and visualize the occurrence of potential Ozone pollution severity of two chosen locations in Selangor, Malaysia: Shah Alam (urban) and Banting (sub-urban). Data visualization analytics were employed using Ozone exceedances and Principal Component Analysis (PCA). The study results have shown an increasing pattern of Ozone pollution occurrence with several modes of distinct diurnal variations at the locations. The study also provides strong insights that Banting might experience a higher potential for Ozone pollution severity compared to Shah Alam.Keywords: ozone pollution; air quality; data visualization; data analytics; principalcomponent analysis