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1 |
Grover on KATAN: Quantum Resource Estimation
گروور در کاتان: برآورد منابع کوانتومی-2022 This article presents the cost analysis of mounting Grover’s key search attack on the family of
KATAN block cipher. Several designs of the reversible quantum circuit of KATAN are proposed. Owing
to the National Insitute of Standards and Technology’s (NIST) proposal for postquantum cryptography
standardization, the circuits are designed focusing on minimizing the overall depth. We observe that the
reversible quantum circuits designed using and gates and T-depth one Toffoli gate give more shallow
circuits. Grover oracle for KATAN is designed based on the reversible circuits, which are used further to
mount Grover’s key search attack on KATAN. The designs are implemented using the software framework
ProjectQ, which provides a resource estimation tool to perform an appropriate cost analysis in an automated
way. While estimating the resources, NIST’s depth restrictions are also respected.
INDEX TERMS: Grover’s algorithm | KATAN | postquantum cryptography (PQC) | ProjectQ implementation | quantum cryptanalysis. |
مقاله انگلیسی |
2 |
Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method
مدیریت بهینه انرژی یک سیستم انرژی تجدیدپذیر ترکیبی مبتنی بر مسکونی با استفاده از کنترل زمان واقعی مبتنی بر قانون و روش بهینه سازی برنامه نویسی پویا 2D-2020 This paper presents a magnetically coupled hybrid renewable energy system (RES) for residential applications.
The proposed system integrates the energies of a set of PV panels, a fuel cell stack, and a
battery using a multi-winding magnetic link to supply a residential load. It can operate in multiple gridconnected
and off-grid operation modes. An energy management unit including an off-line dynamic
programming-based optimization stage and a real-time rule-based controller is designed to optimally
control the power flow in the system according to the provided energy plan. The system is designed
according to the required standards of the grid-connected residential RES. Different sections of the
proposed system including steady-state operation, control techniques, energy management method and
hardware design are studied in brief. A prototype of the proposed system is developed and experimentally
tested for an energy management scenario considering both sunny and cloudy profiles of the
PV generation. The energy distribution and cost analysis approved the benefits of the proposed system
for residential consumers. Keywords: Energy management | Real-time | Renewable energy system | Residential |
مقاله انگلیسی |
3 |
Evaluating industrial modularization strategies: Local vs. overseas fabrication
ارزیابی استراتژی های مدولار صنعتی: محلی در مقابل تولید خارج از کشور-2020 Modularization is becoming more popular in industrial construction to enhance various project management
aspects, including time, cost, safety, quality, and productivity. Although many studies have highlighted the
differences between modular and conventional (stick-built) construction, little research is conducted to evaluate
alternative fabrication strategies (e.g., overseas versus local fabrication). Some practitioners prefer to build
modules locally, while some others prefer to outsource the module fabrication overseas and ship them to the
industrial plant. This dramatically affects the decision on the size of the module envelope, and in turn, many
other associated factors. The purpose of this study is to develop an integrated framework to evaluate different
module fabrication strategies. This study employs various automation tools (e.g., building information modeling
(BIM), simulation modeling) to quantify the impact of module fabrication strategies on any selected industrial
project. The proposed framework considers various project aspects such as shipment and handling, fabrication,
lifting, module resizing, and module assembly yard to find the best fabrication strategy. An actual case study,
part of an industrial plant in Alberta, Canada, is presented in this paper to elucidate research contributions. Keywords: Modularization | Fabrication strategies | Overseas | Building information modeling (BIM) | Simulation | Decision support system | Conceptual cost analysis |
مقاله انگلیسی |
4 |
A cost analysis of machine learning using dynamic runtime opcodes for malware detection
تجزیه و تحلیل هزینه از یادگیری ماشین با استفاده از کد زمان اجرا پویا برای تشخیص بدافزار-2019 The ongoing battle between malware distributors and those seeking to prevent the onslaught
of malicious code has, so far, favored the former. Anti-virus methods are faltering
with the rapid evolution and distribution of new malware, with obfuscation and detection
evasion techniques exacerbating the issue. Recent research has monitored low-level opcodes
to detect malware. Such dynamic analysis reveals the code at runtime, allowing the
true behaviour to be examined. While previous research uses machine learning techniques
to accurately detect malware using dynamic runtime opcodes, underpinning datasets have
been poorly sampled and inadequate in size. Further, the datasets are always fixed size and
no attempt, to our knowledge, has been made to examine the cost of retraining malware
classification models on datasets which grow continually. In the literature, researchers discuss
the explosion of malware, yet opcode analyses have used fixed-size datasets, with no
deference to how this model will cope with retraining on escalating datasets. The research
presented here examines this problem, and makes several novel contributions to the current
body of knowledge.
First, the performance of 23 machine learning algorithms are investigated with respect
to the largest run trace dataset in the literature. Second, following an extensive hyperpa-
rameter selection process, the performance of each classifier is compared, on both accuracy
and computational costs (CPU time). Lastly, the cost of retraining and testing updatable and
non-updatable classifiers, both parallelized and non-parallelized, is examined with simu-
lated escalating datasets. This provides insight into how implemented malware classifiers
would perform, given simulated dataset escalation. We find that parallelized RandomForest,
using 4 cores, provides the optimal performance, with high accuracy and low training and
testing times. Keywords: Malicious code | Network security | Machine learning Computer security | Malware |
مقاله انگلیسی |
5 |
Environmental uncertainty, specific assets, and opportunism in 3PL relationships: A transaction cost economics perspective
عدم قطعیت محیطی، دارایی های ویژه و فرصت طلبی در روابط 3PL: یک دیدگاه اقتصادی هزینه ای تراکنشی-2018 Service provider opportunism is a serious concern in third party logistics (3PL) relationships. However, our knowledge about the antecedents of 3PL providers opportunism is limited. According to transaction cost economics (TCE), increased transaction costs cause opportunism. This study incorporates key TCE constructs (environmental uncertainty, specific assets, and opportunism) and conducts a transaction cost analysis. We argue that environmental uncertainty and specific assets create exchange hazards that result in opportunism. Meanwhile, specific assets reduce coordination costs raised by environmental uncertainty. Building on these arguments, this study tests a model that hypothesizes that environmental uncertainty (demand, supply, and technology uncertainty), and specific assets (user- and provider-specific assets) are positively related to opportunism, and that environmental uncertainty is positively related to specific assets. Structural equation modeling is used to examine data from 247 3PL relationships in China. The results show that demand uncertainty decreases opportunism, supply uncertainty increases opportunism, and technology uncertainty does not have a significant effect. User-specific assets increase opportunism, while provider-specific assets decrease opportunism. Demand and supply uncertainty have positive effects on user-specific assets, but non-significant effects on provider-specific assets, while technology uncertainty does not have a significant impact on user or provider-specific assets. In general, our findings are supported by the rationale of TCE, and industrial or cultural factors can explain several surprising findings. This study contributes to 3PL literature and practice.
keywords: Environmental uncertainty |Specific assets |Opportunism |3PL |Transaction cost economics |
مقاله انگلیسی |
6 |
Relationship between Inventory Management and Uncertain Demand for Fast Moving Consumer Goods Organisations
ارتباط بین مدیریت موجودی و تقاضای نااطمینانه برای حرکت سریع کالاهای مصرفی سازمان-2017 This paper addresses relationship between inventory management and uncertain demand. It also
assesses the effects of uncertain demand on inventory management in the fast moving consumer
goods (FMCG). Inventory management should be given attention it deserves in order for the
business to stay competitive, flexible for the demand and at low cost. Inventories are difficult to
manage and control, and inventory managers find it challenging to know when to order and how
much to order. The research was descriptive in nature and was conducted through the use of
quantitative research methods. A survey questionnaire was used to collect primary data from five
FMCG organisations in the manufacturing industry around Johannesburg. A sample of 255
respondents was involved in this study. According to the findings, significant relationship between
inventory management and uncertain demand exists. The findings imply that poor inventory
management will result in demands not being satisfied, organisations will either have too much or
too little on hand, and this will result to the organisations’ failure.
Keywords: Fast moving consumer goods (FMCG) | inventory management | uncertain demand | Economic Order Quantity (EOQ) | Activity Based Cost analysis (ABC) |
مقاله انگلیسی |
7 |
توسعه یک معماری آزمایشی کنترل هوشمند روشنایی خانگی با استفاده از حسگرهای قرار گرفته روی سیستم محاسباتی سیار
سال انتشار: 2017 - تعداد صفحات فایل pdf انگلیسی: 9 - تعداد صفحات فایل doc فارسی: 32 از آنجایی که گوشی های هوشمند روز به روز قدرتمند و همه گیر می شوند، یکپارچه سازی آنها به صورت سیستمهای هوشمند روشنایی می تواند هم راحتی و هم بهره وری انرژی را بالاتر ببرد. این مقاله یک نمونه آزمایشی از سیستم روشنایی هوشمند با ویژگی های امنیتی بالا را برای خانه های هوشمند ارائه می دهد. برنامه کاربردی سفارشی گوشی همراه اندرویدی، استفاده از حسگر روشنایی محیطی را جهت اجرای یک الگوریتم بازخوردی نوین حلقه بسته و جهت اجرای عملیات جمع آوری روشنایی روز، ممکن می سازد. یک تحلیل هنزیه ای نشان می دهد که نصب کل سیستم اندکی از محصولات تجاری ارزان تر است و به دلیل قابلیت های آن در جمع آوری روشنایی روز، پتانسیل صرفه جویی پولی را در بلند مدت دارد و کارایی بالاتری از محصولات تجاری فعلی دارد.
کلیدواژه ها: خانه هوشمند | روشنایی هوشمند | جمع آوری روشنایی روز | سیستم روشنایی LED | وسیله سیار | گوشی هوشمند |
مقاله ترجمه شده |
8 |
Resiliency optimization of biomass to biofuel supply chain incorporating regional biomass pre-processing depots
بهینه سازی انعطاف پذیری زیست توده به زنجیره تامین سوخت زیستی با استفاده از انبارهای پیش پردازش زیست توده منطقه ای-2017 Biomass to biofuel supply chain is subject to several potential disruptions such as flood, drought, pest
attack, and equipment failure. These disruptions must be considered while designing the supply chain;
especially if capital cost intensive components such as regional biomass pre-processing depots (RBPD)
are to be implemented. This work develops a supply chain design optimization model that incorporates
the possibility of such disruptions at the design stage. The objective function is the sum of the total cost
incurred during the non-disruption and disruption scenarios weighted by their respective probability of
occurrence. This also quantifies the expected disruption cost (EDC) on the operation of the supply chain.
The decision variables are the locations and capacities of RBPDs and biorefinery, as well as the biomass
flow across the supply chain. The model was applied to two separate case studies, namely, procurement
of corn stover from farms arranged in a generic grid pattern, and procurement of corn stover, switch
grass, and Miscanthus for a region of thirteen counties in Southern Illinois. The simulation results
showed that the consideration of resiliency in design reduced the EDC of supply chain by up to 38% by
optimizing the RBPD locations. The results were shown to depend on the intensity and nature of dis
ruptions. This was especially true for feedstock with higher yield such as Miscanthus. Local parameters
such as yield and biomass price also affected the optimal results. Moreover, the presence of RBPDs was
shown to increase supply chain resiliency.
Keywords:Biomass supply chain|Disruption|Resiliency|Optimization|Pre-processing|Biorefinery|Cost analysis |
مقاله انگلیسی |
9 |
A proactive approach to supply chain risk management: Shifting orders among suppliers to mitigate the supply side risks
یک رویکرد پیشگیرانه برای مدیریت ریسک زنجیره تامین: تغییرات سفارشات بین تامین کنندگان برای کاهش خطرات تامین-2017 Globalization, e-trade, advanced technologies and emerging production techniques have increased
supply chains’ efficiency and added value. However, despite numerous advantages, these factors make
supply chains more fragile and vulnerable to risks. For this reason, companies that perform supply chain
risk management gain competitive advantage. In the past, supply chain managers mainly focused on
reducing costs; but recently, they have begun to give importance to supply chain continuity and re
siliency which have significant impacts on costs as well. Hence, conventional reactive planning has given
way to proactive planning in supply chain risk management. In this study, the supply chain risk man
agement process is investigated and a procedure is proposed in the risk mitigation phase. In the first
stage of the proposed procedure, an initial procurement plan is obtained via a linear programming
model, considering the cost criterion as the first priority. In the second stage, this plan is revised by
including the risk criterion into the planning as the second priority. The aim of this procedure that
enables proactive planning is to reduce the supply side risks. The model is tested with a hypothetical data
set and the cost analysis is performed to evaluate the performance of the procedure. Finally, the whole
supply chain risk management process including the proposed procedure is applied to an international
automotive company.
Keywords:Supply side risks|Procurement planning|Risk mitigation|Linear programming|Automotive industry |
مقاله انگلیسی |