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Edge computing has become quintessential in commercial, healthcare, and industrial applications. It enables real-time data processing at the edge device, thus reducing the data traffic to the cloud and increasing the processing time efficiency. As an edge device, modern System-on-Chips (SoCs) provide scalability, security, and development in an integrated platform. Intellectual Property (IP) core reuse is a boon in SoCs that bridges the gap between integrated circuit design and fabrication. Such edge devices modeled by vendors are bound to ensure high security to avoid piracy. The proposed architecture provides a two-step authentication utilizing a Finite State Machine (FSM) with a secured key obtained from the newly structured Physical Unclonable Function (PUF) within the same edge device, with the primary goal of verifying several heterogeneous IPs to achieve the least power and energy. Two PUF designs, Anderson Arbiter PUF (AA-PUF) and Balanced AA-PUF, have been proposed for two different placements taking advantage of SoC-based architecture. The PUF characteristics have been experimentally validated with and without majority voting and demonstrate their proximity close to the desired value in ZedBoard. The proposed design is a strong PUF with less than 15% area overhead and power dissipation of 1.982 W for a 64-bit response. The experimental validation has evaluated that the power and energy consumptions are 2.56 W and 2.17 J for 52 heterogeneous IPs. [ABSTRACT FROM AUTHOR]

Flood-susceptibility mapping (FSM) is crucial for effective flood prediction and disaster prevention. Traditional methods of modeling flood vulnerability, such as the Analytical Hierarchy Process (AHP), require weights defined by experts, while machine-learning and deep-learning approaches require extensive datasets. Remote sensing is also limited by the availability of images and weather conditions. We propose a new hybrid strategy integrating deep learning with the HEC–HMS and HEC–RAS physical models to overcome these challenges. In this study, we introduce a Weighted Residual U-Net (W-Res-U-Net) model based on the target of the HEC–HMS and RAS physical simulation without disregarding ground truth points by using two loss functions simultaneously. The W-Res-U-Net was trained on eight sub-basins and tested on five others, demonstrating superior performance with a sensitivity of 71.16%, specificity of 91.14%, and area under the curve (AUC) of 92.95% when validated against physical simulations, as well as a sensitivity of 88.89%, specificity of 93.07%, and AUC of 95.87% when validated against ground truth points. Incorporating a "Sigmoid Focal Loss" function and a dual-loss function improved the realism and performance of the model, achieving higher sensitivity, specificity, and AUC than HEC–RAS alone. This hybrid approach significantly enhances the FSM model, especially with limited real-world data. [ABSTRACT FROM AUTHOR]

Video games are a means of entertainment for everyone, from children to adults. The genre of games now is also very diverse, ranging from adventure, puzzles to storytelling, and even many folk stories have been made into video games by several developers in Indonesia. Starting from folk tales with horror themes such as kuntilanak, legends such as cucumber mas, to folk tales that rarely sound like golden oranges. The folklore video game of buah jeruk emas is a video game that tells of a king who gets a whisper from the gods to get golden oranges. The king then held a competition to get the golden orange fruit. The player must be able to take the golden orange fruit from the enemy in the form of a Non Playable Character (NPC) who will chase the player. In making NPCs, algorithms are used to help play video games. Therefore, the author wants to apply the A * algorithm in the game of golden oranges so that npc can catch up to players according to the planned system. The main method used is A * and then the addition of the FSM method for other methods. The golden orange fruit is a video game using the A * algorithm and the FSM method after testing it can be concluded that it is enough to make the game run. With the results according to the planned system.

Knowledge of aquifer parameters is essential for the management of groundwater resources. Parameters such as porosity and specific yield are among the basic features used to describe the hydrogeological conditions of a region. This study compares the electromagnetic method with geoelectric sounding. The data collection was carried out through a field survey and is used to study and estimate the values of porosity and specific yield of the karst aquifer that feeds five springs: Famaseb (Sp1), Faresban (Sp2), Giyan (Sp3), Ghale Baroodab (Sp4), and Gonbad kabood (Sp5). All these springs are located in the Nahavand Plain, Hamadan Province, west of Iran. Fifteen (15) soundings were obtained upstream of each spring and were used to analyze the results, quantitative and qualitative interpretation of geoelectrical data, logs of subsurface layers, and ranges of true resistivities and their electromagnetic frequencies were determined. The value of the true resistivity was calculated for the saturated and unsaturated layer of each spring, the results were compared with the electromagnetic frequencies, which showed that the results of the two methods used were almost similar. Porosity and specific yield were calculated using Archie's law. It is found that the Faresban spring (Sp2) has maximum porosity of 55% and a specific yield of 0.48 and in contrast to the lowest value of parameters mentioned in the Ghale Baroodab spring (Sp3, porosity 26% and specific yield 0.18). All the estimated values are compatible with the discharge of springs measured in the field and consistent with the geological conditions of the study area. [ABSTRACT FROM AUTHOR]

Hot stamping of high-strength steel plays an increasingly important role as the demand for automotive lightweighting increases. However, the existing hot stamping process faces challenges such as a lack of digital monitoring, limited monitoring scope, unintuitive production data, and untimely analysis of production events. This paper proposes a framework for a hot stamping production monitoring system based on digital twin technology. By exploring key technologies, including finite state machine (FSM) modeling of the production process, collection, and storage of multi-source data, a digital twin monitoring system for the hot stamping line was developed by combining the data with virtual 3D equipment for multi-dimensional information integration. The system can visualize production information from multiple dimensions and reproduce the production process to analyze production events. Finally, the feasibility and effectiveness of the digital twin system were verified through real-world scenarios, providing valuable insights for hot stamping production process monitoring. [ABSTRACT FROM AUTHOR]

The challenges resulting from rapid economic growth, urbanization, and increased motorization in developing nations necessitate a comprehensive and sustainable approach to urban public transport planning. While sustainable urban public transport (SUPT) planning offers a solution, the complexity of choosing suitable policy measure options remains a challenge. This study first introduces a decision support framework (DSF) that integrates the sustainable urban public transport manual (SUPTM) adopted for generating the potential SUPT policy measure options, the KonSULT knowledge base applied for providing the performance scores of each measure option for all determined criteria, and the HMADM (including FAHP, FSM, and TOPSIS) technique to create, rank, and select SUPT policy measure options tailored to medium-sized urban areas in developing nations. A case study of Khon Kaen City, Thailand, illustrates the practical application of the framework, resulting in a set of 31 (91.2%) out of the total of 34 ranked policy measure options. Comparing these prioritizations with the city's existing plan reveals a substantial agreement, which suggests the potential applicability of the DSF. Overall, the DSF marks a significant advancement in SUPT planning, which is crucial for shaping efficient, equitable, and environmentally conscious urban mobility in developing countries, which are undergoing transformative change. [ABSTRACT FROM AUTHOR]

Flood-susceptibility mapping (FSM) is crucial for effective flood prediction and disaster prevention. Traditional methods of modeling flood vulnerability, such as the Analytical Hierarchy Process (AHP), require weights defined by experts, while machine-learning and deep-learning approaches require extensive datasets. Remote sensing is also limited by the availability of images and weather conditions. We propose a new hybrid strategy integrating deep learning with the HEC–HMS and HEC–RAS physical models to overcome these challenges. In this study, we introduce a Weighted Residual U-Net (W-Res-U-Net) model based on the target of the HEC–HMS and RAS physical simulation without disregarding ground truth points by using two loss functions simultaneously. The W-Res-U-Net was trained on eight sub-basins and tested on five others, demonstrating superior performance with a sensitivity of 71.16%, specificity of 91.14%, and area under the curve (AUC) of 92.95% when validated against physical simulations, as well as a sensitivity of 88.89%, specificity of 93.07%, and AUC of 95.87% when validated against ground truth points. Incorporating a “Sigmoid Focal Loss” function and a dual-loss function improved the realism and performance of the model, achieving higher sensitivity, specificity, and AUC than HEC–RAS alone. This hybrid approach significantly enhances the FSM model, especially with limited real-world data.

This paper presents a state-of-the-art overview of fine beam steering mechanisms for free-space optical communication on satellites. Precise beam pointing is a critical task for the successful operation of free-space optical communication systems. Based on past research and ongoing projects, the use of fast steering mirrors (FSMs) is still the most popular solution for free-space optical communication applications. Although a variety of commercial off-the-shelf (COTS) FSM solutions exist, there is limited publicly available data on these solutions in the space environment. Three main actuation principles are considered (electro-static force actuated, magnetic force actuated, piezo-effect actuated) and reviewed using available data from past space missions. The article describes the most important criteria in the choice of a fine beam steering solution for free-space optical communication in space. [ABSTRACT FROM AUTHOR]

The process control-oriented threat, which can exploit OT (Operational Technology) vulnerabilities to forcibly insert abnormal control commands or status information, has become one of the most devastating cyber attacks in industrial automation control. To effectively detect this threat, this paper proposes one functional patternrelated anomaly detection approach, which skillfully collaborates the BinSeg (Binary Segmentation) algorithm with FSM (Finite State Machine) to identify anomalies between measuring data and control data. By detecting the change points of measuring data, the BinSeg algorithm is introduced to generate some initial sequence segments, which can be further classified and merged into different functional patterns due to their backward difference means and lengths. After analyzing the pattern association according to the Bayesian network, one functional state transition model based on FSM, which accurately describes the whole control and monitoring process, is constructed as one feasible detection engine. Finally, we use the typical SWaT (SecureWater Treatment) dataset to evaluate theproposedapproach, and the experimental results showthat: for one thing, comparedwithother changepoint detection approaches, the BinSeg algorithm can be more suitable for the optimal sequence segmentation of measuring data due to its highest detection accuracy and least consuming time; for another, the proposed approach exhibits relatively excellent detection ability, because the average detection precision, recall rate and F1-score to identify 10 different attacks can reach 0.872, 0.982 and 0.896, respectively. [ABSTRACT FROM AUTHOR]

A decision support model (DSM) involving a combination of five different prediction models for the environmental effects of transport and the powerful HMADM approach was introduced for the first time to assess the multiple criteria environmental effects of transport in an urban road network of the Khon Kaen Metropolitan Municipality (KKMM) in Khon Kaen City, Thailand. Five mathematical models were adopted to quantify the CO2 emissions (CO2Es), PM2.5 concentration (PM2.5C), CO concentrations (COCs), noise levels (NOLs), and pedestrian accident risk (PAR) values of all road segments in the study area. The FAHP, FSM, and TOPSIS were integrated into the HMADM to estimate the composite transport environmental effect scores (CTEESs) of each road segment. The FAHP was applied to determine the relative weights of each environmental criterion for three land use types, and the FSM was utilized to transform linguistic (fuzzy) scores into numerical (crisp) scores. Both the FAHP and FSM are principally used to deal with uncertain, incomplete, and ambiguous (fuzzy) information that appears during decision-making processes. Finally, TOPSIS was used to estimate the CTEESs of each road segment. An integrated DSM was applied to comprehend and evaluate each individual environmental criterion and the combined environmental criteria for each road segment in the study area. The DSM was employed to rank the problematic locations of all road segments. For instance, the ranking of the top 12 road segments with the greatest CTEESs was 75, 80, 48, 89, 76, 5, 64, 59, 60, 16, 65, and 62. In addition, this DSM can also be used to identify the possible causes of such locations and allocate limited government budgets for the implementation of appropriate remedial measures for resolving such environmental problems due to transport in an urban road network in the study area. [ABSTRACT FROM AUTHOR]

Conventional Maximum Power Point Tracking (MPPT) controllers in photovoltaic (PV) systems are seen to achieve tracking speeds in range of milliseconds. Power-electronic circuits in these systems many-a-time demand faster control actions in microseconds, as they operate at high frequencies, and also, a delay in control action would lead to a corresponding power-loss. Hence, an MPPT controller delivering such fast tracking speeds would improve overall system performance. In this work, an Field Programmable Gate Array (FPGA) based Statechart Controller is developed to perform MPPT control of the PV system. The developed Statechart Controller is tested using software-in-the-loop simulation(SILS) and results are presented. With inputs from a programmable logic controller emulating PV characteristic curves, the Statechart Controller is then deployed in a target FPGA. A comparison between performance with conventional MPPT controller and Statechart Controller is presented and results indicate that the latter is more effective in terms of tracking speeds, determinism, and modularity. [ABSTRACT FROM AUTHOR]

Inferring a functional specification from an existing digital design is a challenge that is suitable with reverse-engineering methods. One of the most widely used functional specification formats is a finite state machine (FSM). This article studies the possibility of blind passive specification mining for a digital device, where the device is treated as a "black box". The presented approach treats an input and output signal waveform as the transition graph of an incomplete deterministic FSM and learns the FSM through FSM minimization. It employs a Boolean satisfiability problem (SAT) solver to find a minimal FSM that complies with observed object behavior. The known approach to identifying state machines in discrete event systems is adapted to operate with variables in the form of coloring and transition tables. The developed implementation produces a synthesizable specification in hardware description language (HDL) and a state diagram in unified modeling language (UML). The proposed approach for inferring an FSM from a waveform trace can serve as a supplementary tool during reverse engineering to provide developers with meaningful insight regarding the analyzed device. The presented case study defines metrics of successful FSM inference and applies them to a synthetic FSM and a real-world example FSM to demonstrate the applicability of the approach. [ABSTRACT FROM AUTHOR]

Wavefront distortion caused by atmospheric turbulence can be described as different types of aberrations, such as piston, tilt, defocusing, astigmatism, coma and so on. The operation of dual deformable mirrors can have mutual coupling effects, which affect the correction effect of wavefront distortion. This study combines a fast-steering mirror (FSM) and a deformable mirror (DM) to form a dual-deformable-mirrors wavefront correction system, and proposes a decoupling algorithm that can correct any specified aberration. In this decoupling algorithm, both the FSM and the DM are controlled using the mode method, and the specific corrected aberrations are obtained based on a limited matrix. The compensation ability of the DM is directly characterized by the mode coefficients of the aberrations, which can achieve independent correction of any order of aberrations and effectively reduce the coupling effect of the dual-deformable-mirrors wavefront correction system. An adaptive optical dual-deformable-mirrors wavefront correction system experiment was built to verify the decoupling algorithm. When the DM corrects the 3rd-, 10th-, and 25th-order aberrations, and the FSM only corrects the 1st- and 2nd-order aberrations, the coupling coefficients are approximately 1.17 × 1 0 − 3 , 1.814 × 1 0 − 2 and 7.81 × 1 0 − 3 , respectively, and their magnitude reaches 10−2 and below 10−2, respectively. The experimental results show that the decoupling algorithm can effectively suppress the coupling effect between the FSM and the DM. [ABSTRACT FROM AUTHOR]

Piezoelectric fast steering mirror (PZT FSM) is the core component of the fine tracking system for space laser communication, and its actuator is a piezoelectric ceramic. Consequently, there is a hysteretic nonlinear disturbance throughout the entire range of the FSM's steering. To enhance the fine tracking system's performance, this paper innovatively analyzes and verifies the effect of the PZT FSM hysteresis characteristics on the error suppression bandwidth of the fine tracking system. Firstly, the rate-dependent hysteresis model is established by serially connecting the Prandtl–Ishlinskii (P-I) model with the dynamic linear mode. The inverse model is designed as a feedforward controller, followed by the conduction of open-loop feedforward compensation experiments. Subsequently, we propose a compound control method based on the rate-dependent hysteresis mode and conduct a simulation analysis. Finally, the experimental platform for the fine tracking system is set up, and the optimization effect of compensating for hysteresis nonlinearity on the fine tracking system is verified. The experimental results show that the nonlinearity of the PZT FSM is improved by 30% in the middle- and high-frequency ranges, and the error suppression bandwidth of the fine tracking system is improved by 41.7%. This effectively enhances the fine tracking system's error suppression capability. [ABSTRACT FROM AUTHOR]

In COCOMO II, the primary input for estimating development effort in person month (PM), duration, and cost is the size of the software. Until now, there are two ways to get the size, namely (1) size is estimated using a line of code of software, and (2) size is estimated using unadjusted function points (UFP), which is one of the functional size measurements (FSM). In this study, we added a new way to obtain the size as the primary input in COCOMO II, namely with COSMIC function points (CFP). CFP has several advantages compared to other FSMs, including UFP. Therefore, like UFP, CFP is converted first to LOC, so the conversion equation must be obtained first. We applied four models to get the conversion functions: Ordinary least squares regression (OLSR), support vector regression (SVR) with linear, polynomial, and Gaussian kernel functions. The four models were applied using a dataset from small-scale business application software in Java. The results showed that PM estimation using the CFP model as the primary input produced better accuracy based on MMRE and Pred (0.25), namely 17%-19% and 67%-80%, than the UFP model on the COCOMO II of 135% and 10%. [ABSTRACT FROM AUTHOR]

Since 2005, the Federated States of Micronesia (FSM), nervous over the uncertain future of the Compact of Free Association and seeking to improve its fiscal self-sufficiency, has wasted time and resources on a pie-in-the-sky tax reform proposal with too many moving parts and too many stakeholders to satisfy.  A more practical path to tax reform must be found—and as the authors argue, Hawaii’s unique tax system should be used as a map forward.The FSM and Hawaii each have broad-based consumption taxes—the gross revenues tax and the general excise tax, respectively.  Although these two taxes appear similar at first glance, Hawaii’s tax has developed sophisticated characteristics over the past eighty-five years.  Instead of attempting yet again to discard its gross revenues tax, the FSM should transform it.  Replicating and accelerating Hawaii’s eighty-five-year tax evolution could offer the FSM a much more practicable—and less politically daunting—shortcut to a modernized, efficient, and lucrative tax system.

The purpose of this study is to examine the effects of motivational qualities of music elicited by two primary types of music sources (i.e., self-selected music and facility-selected music) on consumer emotional and cognitive responses in a fitness facility environment. The concept of motivational qualities of music was aligned with Mehrabian and Russell's stimulus-organism-response (SOR) theory. A survey was administered to self-paced fitness customers (n = 183) who were exposed to either type of music in a natural field experiment setting. SEM was utilised for hypothesis evaluation. The three hypotheses were confirmed: that SSM provides a greater degree of motivation for fitness facility customers than FSM; that higher perception of motivational qualities of music led to greater arousal and pleasure, and that the greater their pleasure and arousal, the greater their satisfaction with their exercise experience. [ABSTRACT FROM AUTHOR]

Hardware obfuscating is a proactive design-for-trust technique against IC supply chain threats, i.e., IP piracy and overproduction. Many studies have evaluated numerous techniques for obfuscation purposes. Nevertheless, de-obfuscation attacks have demonstrated their insufficiency. This paper proposes a register-transfer (RT) level finite-state-machine (FSM) obfuscation technique called ReTrustFSM that allows designers to obfuscate at the earliest possible stage. ReTrustFSM combines three types of secrecy: explicit external secrecy via an external key, implicit external secrecy based on specific clock cycles, and internal secrecy through a concealed FSM transition function. So, the robustness of ReTrustFSM relies on the external key, the external primary input patterns, and the cycle accuracy of applying such external stimuli. Additionally, ReTrustFSM defines a cohesive relationship between the features of Boolean problems and the required time for de-obfuscation, ensuring a maximum execution time for oracle-guided de-obfuscation attacks. Various attacks are employed to test ReTrustFSM’s robustness, including structural and machine learning attacks, functional I/O queries (BMC), and FSM attacks. We have also analyzed the corruptibility and overhead of design-under-obfuscation. Our experimental results demonstrate the robustness of ReTrustFSM at acceptable overhead/corruption while resisting such threat models.

Copyright of Journal of Zhengzhou University: Engineering Science is the property of Editorial Office of Journal of Zhengzhou University: Engineering Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper proposes the method of reduced matrix D-trees, which is an improved version of the method of matrix d-trees. This method is a further development of the application of one of the subcircuit methods, the so-called d-tree method, to the symbolic analysis of linear circuits with constant parameters The method of reduced matrix D-trees, like the d-tree method, provides a significant reduction in the required computer time for modeling circuits, which has a mathematical meaning, consisting in the bringing out of similar terms in the formed complex symbolic expressions. Since there are, in fact, many symbolic terms in such expressions, this reduction in time is due to such factoring. The method is illustrated using a model of a long line consisting of a cascade connection of a large number of elementary links. The results of the computer simulation are also presented. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Geodesy & Geodynamics (1671-5942) is the property of Editorial Board Journal of Geodesy & Geodynamics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article presents numerical analysis of typical folded-plate structures by the finite strip method (FSM) taking into account geometrical and material nonlinearity. Harmonic coupled FSM is used for geometrical nonlinear analysis, whereas rheological-dynamical analogy for the analysis of softening behavior. The efficiency of this novel method is demonstrated on the structures that are experimentally investigated and described in cited literature. [ABSTRACT FROM AUTHOR]

Wavefront distortion caused by atmospheric turbulence can be described as different types of aberrations, such as piston, tilt, defocusing, astigmatism, coma and so on. The operation of dual deformable mirrors can have mutual coupling effects, which affect the correction effect of wavefront distortion. This study combines a fast-steering mirror (FSM) and a deformable mirror (DM) to form a dual-deformable-mirrors wavefront correction system, and proposes a decoupling algorithm that can correct any specified aberration. In this decoupling algorithm, both the FSM and the DM are controlled using the mode method, and the specific corrected aberrations are obtained based on a limited matrix. The compensation ability of the DM is directly characterized by the mode coefficients of the aberrations, which can achieve independent correction of any order of aberrations and effectively reduce the coupling effect of the dual-deformable-mirrors wavefront correction system. An adaptive optical dual-deformable-mirrors wavefront correction system experiment was built to verify the decoupling algorithm. When the DM corrects the 3rd-, 10th-, and 25th-order aberrations, and the FSM only corrects the 1st- and 2nd-order aberrations, the coupling coefficients are approximately 1.17×10−3, 1.814×10−2 and 7.81×10−3, respectively, and their magnitude reaches 10−2 and below 10−2, respectively. The experimental results show that the decoupling algorithm can effectively suppress the coupling effect between the FSM and the DM.

Piezoelectric fast steering mirror (PZT FSM) is the core component of the fine tracking system for space laser communication, and its actuator is a piezoelectric ceramic. Consequently, there is a hysteretic nonlinear disturbance throughout the entire range of the FSM’s steering. To enhance the fine tracking system’s performance, this paper innovatively analyzes and verifies the effect of the PZT FSM hysteresis characteristics on the error suppression bandwidth of the fine tracking system. Firstly, the rate-dependent hysteresis model is established by serially connecting the Prandtl–Ishlinskii (P-I) model with the dynamic linear mode. The inverse model is designed as a feedforward controller, followed by the conduction of open-loop feedforward compensation experiments. Subsequently, we propose a compound control method based on the rate-dependent hysteresis mode and conduct a simulation analysis. Finally, the experimental platform for the fine tracking system is set up, and the optimization effect of compensating for hysteresis nonlinearity on the fine tracking system is verified. The experimental results show that the nonlinearity of the PZT FSM is improved by 30% in the middle- and high-frequency ranges, and the error suppression bandwidth of the fine tracking system is improved by 41.7%. This effectively enhances the fine tracking system’s error suppression capability.

To ensure sanitation for all by 2030, fecal sludge collection services in low-income urban areas with no sewer connections need improvement. One of the major issues is the gap between low-income households' willingness to pay and the cost of emptying services in low-income areas. One way of lowering the cost of these services is through process optimization. In this regard, we conducted a time and motion study to better understand the bottlenecks associated with the collection of fecal waste from different types of on-site sanitation facilities. Our results show that emptying pit latrines, which make up 53% of the market for emptying services in Kigali, takes twice as long as emptying septic tanks. 33% of households that requested the service were located in an informal settlement with no access to road and could only be served by a semi-mechanized method which required use of barrels, and a portable pump. In general, interventions related to minimizing trash disposal in pits and septic tanks can go a long way in making the emptying process more time- and cost-efficient. Additionally, developing effective and efficient pumping technologies that are suitable for use in inaccessible areas should be prioritized. HIGHLIGHTS Pit-emptying process time varies depending on the type of pit and on the type of emptying method used.; By applying time and motion study, we can improve fecal sludge collection process duration.;

Saat ini, hampir semua perangkat elektronik menggunakan prosesor di dalamnya. Dalam sebuah prosesor, terdapat bagian control unit yang berfungsi mengatur operasi dari komponen-komponen di dalam prosesor. Control unit merupakan sebuah mesin keadaan terbatas atau disebut finite state machine (FSM). Rangkaian FSM dapat disintesis secara manual ataupun secara otomatis menggunakan bahasa abstraksi Verilog. Dalam penelitian ini, dibuat sebuah aplikasi yang dapat membantu pengguna merancang FSM dan selanjutnya menyimpannya dalam format Verilog. Aplikasi yang dibuat secara fungsional dapat berjalan dengan kesesuaian 100% dan mampu untuk membuat rancangan Verilog untuk FSM dengan berbagai model dan teknik pengkodean state. Simulasi modul Verilog yang dihasilkan juga sesuai dengan spesifikasi rangkaian FSM yang dirancang.

In Bresenham's line drawing algorithm, the points of an n-dimensional raster that have to be selected are determined forming a close approximation to a straight line existed between two points. It is widely used for drawing line primitives in a bitmap image (for example: on a computer screen), since only integer addition, subtraction and bit shifting are used. These three operations are cheap concerning standard computer architectures. In addition, it is an incremental error algorithm. It is among the oldest algorithms that have been developed in computer graphics. An extension to the original algorithm may lead to draw circles. This research deals with the Bresenham’s line and circle drawing algorithm based on FPGA hardware platform. The shapes on the VGA screen are displayed via internal VGA port that is built in the device.