Journal of Technology & Innovation (JTIN)
Journal of University of Technology ((HUTECH)
NANOTECHNOLOGY IN U.S. MEDICAL DIAGNOSTICS: A COMPREHENSIVE REVIEW
This comprehensive review evaluates the advancements, potential, and ethical implications of nanotechnology in medical diagnostics within the U.S. healthcare system. The primary objective was to assess how nano-tools are revolutionizing early disease detection and management. The methodology involved a systematic review of peer-reviewed literature, focusing on studies published between 2000 and 2023. Data sources included academic databases such as PubMed, Scopus, and Web of Science, supplemented by secondary sources like journals and conference proceedings. The study emphasized the historical development of nanotechnology in diagnostics, current innovations, and future prospects in the field. Key findings reveal significant advancements in nano-diagnostic tools, highlighting their increased sensitivity and specificity in early disease detection. Innovations such as nano-enabled imaging and targeted drug delivery systems have shown potential in personalizing patient care. However, the study also identified challenges, including ethical concerns related to patient privacy, data security, and the need for comprehensive regulatory frameworks. The review concludes that while nanotechnology in diagnostics offers transformative potential, it also presents unique challenges. Recommendations for industry leaders and policymakers include fostering innovation within ethical and safety boundaries, investing in research, and establishing clear regulatory guidelines. Future research directions emphasize long-term efficacy and safety studies, costeffective manufacturing processes, and exploring new applications in disease management. This study underscores the pivotal role of nanotechnology in shaping the future of healthcare diagnostics.
IMPROVED MAN-MACHINE INTERACTION DESIGN OF MOULD CASE CIRCUIT BREAKER BASED ON QFD
This paper aims to improve and study the man-machine interaction defects of mould case circuit breaker. By changing the interface information layout, the interface information transmission effect was enhanced, with user pressure in information reading reduced. User demand information was acquired based on interview method, observation method and literature reading method. Information was classified by user demand levels according to KJ (affinity diagram) method, with its weight calculated by AHP (analytic hierarchy process) method. Finally, user demand was converted into design requirement by QFD (Quality Function Deployment) method and product improvement design function model was built. Guided by user demand, this paper rationally analyzes the man-machine interaction pain points in mould case circuit breaker, and takes this as the improvement and innovation points to build a functional design model for the improved design of man-machine interaction of mould case circuit breaker, hoping to improve the working efficiency of users, and provide new ideas for the improvement research on man-machine interaction of similar products.
STUDY OF SECURITY FEATURES PRESENT IN NEPALI PASSPORT
Security features present on Nepali passport are examined with the help of Video Spectral Comparator. Mainly examination is carried out with application ultra-violet light, normal light, oblique light and transmitted light. We obtain different types of security features including florescence, ghost image, binding thread, optical fiber, punched number, barcode, micro-printing, watermark, emboss etc. The main aim of this work is to provide information about security features present in Nepali passport so that concern agencies as well as general public to distinguish between genuine and fake passport.
ASSESSMENT OF THE CURRENT SITUATION OF SALINITY INTRUSION IN TAN PHU DONG AND GO CONG DONG DISTRICTS, TIEN GIANG PROVINCE AND PROPOSAL OF SOLUTIONS
The research used statistical analysis methods, compared, and simulated the MIKE model, predicted the risk of salinity intrusion according to the scenarios RCP 4.5 and RCP 8.5 to assess the current situation of salinity intrusion and its impact on Go Cong Dong district and Tan Phu Dong district. After conducting the study "Assessing of the current situation of salinity intrusion in Tan Phu Dong and Go Cong Dong districts of Tien Giang province and proposing solutions", the researchers achieved the following results: the situation of salinity intrusion in both 2 districts became more complicated, salinity intrusion came early, high salinity encroached the fields. In 2020, salinity intrusion came 1 month early, the highest salinity level reached 25.4 g/l; Regarding the risk prediction of salinity intrusion: according to the scenarios of RCP 4.5 and RCP 8.5 through the periods of 2030, 2050, 2070, 2100, the salinity level in the studied area tends to increase gradually, the lowest salinity will be from 4 to 6 g/l, the salinity in the whole districts of Tan Phu Dong and Go Cong Dong will exceed 12 g/l in 2100. Regarding the assessment of the impacts of salinity intrusion to the main local industries including agriculture - forestry – fishery, the fields of land, water, and ecosystem resources, the agriculture and water resources sectors are most severely affected.
CONSIDERATION OF DAMAGING FREQUENCY RANGES OF STRUCTURAL EXCITATION FOR TESTING LARGE BATTERY PACKS IN BATTERY ELECTRIC VEHICLES (BEV)
Realistic vibration testing of large floor mounted Battery Pack, sometimes called Rechargeable Energy Storage Systems (RESS), for Batterie Electric Vehicles (BEV) is important for developing safe new battery structures. On the other hand, the requirements for realistic replications of worst-case environments in a lab usually demand costly and complex infrastructure. A key factor to the quality of environment replication and an important cost driver due to the increasing complexity is the needed frequency range the equipment must be able to replicate. The contribution analyzes data from a first pre-test campaign to demonstrate a feasible process of deriving frequency band requirements for the test equipment. The key method used here is the Fatigue Damage Spectrum (FDS) to analyze the potential damage a vibration could cause in certain failure mechanism of interest, particularly “weighted” by the corresponding double-logarithmic dependance of stress magnitude over occurring load cycles. This enables a good assessment of how much damage could be induced in certain frequency ranges for a well justified and cost-effective choice on the needed test equipment.
AN EXPLORATORY STUDY OF HOW EMOTION TONE PRESENTED IN A MESSAGE INFLUENCES ARTIFICIAL INTELLIGENCE (AI) POWERED RECOMMENDATION SYSTEM
This innovative study aims to explore how emotion tone presented in a message influences the judgement of Artificial Intelligence (AI) bots. We established a scenario by using vacation rental introduction as input message to conduct experiments to explore the influences. Our findings suggest that AI bots demonstrate preferences on the input message presented in positive tones rather than input message with negative tones. Our pioneering study can serve as a crucial starting point for future studies, in particular opening up fresh avenues for future research endeavours and engenders discussions and debates concerning the development of recommendation system.
A COMPREHENSIVE REVIEW OF IT AUDIT METHODOLOGIES IN THE AGE OF QUANTUM COMPUTING
The emergence of quantum computing presents a profound challenge and opportunity for information technology (IT) audit methodologies and IT security. Quantum computing's potential to break classical encryption methods and its promise of exponential computational power necessitate a proactive response. This comprehensive review explores the fundamentals of quantum computing, the vulnerabilities of classical encryption, the transition to quantum-safe encryption, and the role of IT auditors in navigating this quantum landscape. Additionally, we address emerging quantum technologies, ethical considerations, and the interplay between quantum computing and IT security. To thrive in the quantum era, organisations are advised to plan for quantum-safe transitions, invest in quantum-resistant cryptography, monitor evolving regulations, develop quantum-ready workforces, integrate Quantum Key Distribution (QKD), and adopt a long-term security strategy. Adapting IT audit methodologies to the quantum era requires a multidisciplinary approach, and the recommendations provided here aim to guide organisations in securing their digital assets in this transformative quantum-empowered future.
RESEARCH ON NUMERICAL SIMULATION OF PCCI ENGINE: A REVIEW
The global environment is being affected by the use of fossil fuels to provide energy for internal combustion engines (ICE) due to a large amount of CO2 emission. Specific toxic substances are NOx, and CO, soot, particulate matter that exists in the environment at high densities while having a global impact. The automotive industry of countries worldwide is constantly changing and evolving to discover new solutions that reduce fuel use while developing cleaner and more advanced combustion methods, which as a lowtemperature combustion engine (LTC). This study uses computational fluid dynamics (CFD) to understand partial pre-mixed compression combustion (PPCI), with HCCI and RCCI being advanced low-temperature combustion concepts. Lowering the average combustion temperature is an advantage of PCCI; it optimizes CO and NOx emission rates while maintaining high thermal efficiency. Investigate the intake pattern, including flame length, mixing pulse, and intake air volume, to determine the importance of that factor for oxidation using the LES. Studies have been performed using RANS and LES models to stimulate mixing and combustion.
THE IMPLEMENTATION OF STRATEGIC INNOVATION MANAGEMENT AND ITS EFFECT ON FIRM INNOVATION PERFORMANCE IN INDONESIAN WOMEN ENTREPRENEUR ASSOCIATION
Entrepreneurship provides opportunity for women, due to its flexible participation characteristic. Entrepreneurial activities for women would not only provide economic benefit, but also positive social impact for them and their families. However, entrepreneurial business performance requires great management effort over various aspects. One key aspect that would be focused in this research is the management of innovation. This study aimed to investigate Firm Innovation Performance based on the effect of factors such as Product Innovation, Process Innovation, and Market Innovation. The object of the research was the West Java Chapter of Indonesian Women Entrepreneur Association.
Copyright (c) 2024 Journal of Technology & Innovation (JTIN)
IOT DEVICE SECURITY RISKS: A COMPREHENSIVE OVERVIEW AND MITIGATION STRATEGIES
The research paper delves into the intricate realm of IoT device security, unravelling the multifaceted risks and presenting a nuanced exploration of mitigation strategies. A comprehensive literature review unveils common security threads and the current state of IoT security measures. The subsequent analysis identifies security risks, including unauthorized access, encryption lapses, authentication weaknesses, physical vulnerabilities, and privacy concerns. Mitigation strategies encompass technical measures, policy frameworks, and user education, forming a holistic approach. The paper concludes by outlining recommendations for future research, emphasizing interdisciplinary collaboration, dynamic threat modelling, privacy-preserving technologies, standardization, certification, and blockchain integration. Envisioning a secure and connected future, the research underscores the pivotal role of manufacturers, policymakers, and users in shaping a resilient IoT landscape.
DESIGN AND FABRICATION OF HEATING DEVICE FOR VEGETABLE OIL USED FOR DIESEL ENGINES
Countries worldwide are recently interested in economic efficiency in line with protecting environmental protection. Generally, optimization of cetane number, expanding fuel sources, and producing clean fuels with less pollution at the development trend in diesel fuel. Faced with that situation, global energy security is one of the top goals worldwide that can be ensured by diversifying energy resources parallel with minimizing fossil energy dependence. Among solutions, biofuel in internal combustion engines is a potential approach that receives great attention from global researchers. Among biofuel sources, vegetable oil or animal fat can be employed directly on compression-ignition internal combustion engines. This study presents a method to design and manufacture a system that utilizes exhaust heat with integrated electrical energy to heat vegetable oil for direct use in diesel engines.
Hybrid particle swarm optimization-gravitational search algorithms deep learning networks to simultaneously project multiple Crude Oil price
The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast. Currently, there is no study on the optimization of deep learning with a hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO) for forecasting crude oil price benchmarks, including WTI, Brent, and Dubai. Additionally, most studies have focused only on using West Texas Intermediate (WTI) crude oil spot prices as their benchmark. A Bidirectional Long Short-Term Memory with hybrid gravitational search algorithm (GSA) and particle swarm optimization (PSO) to forecast Crude Oil prices is proposed. The proposed model outperformed FNNPSOGSA, FNNGA, LSTM and BiLSTM models with root mean square errors (RMSE) of 0.0029, 0.0011, and 0.0029, respectively. The proposed model is suited for Crude Oil forecasting.
Efficiency deterioration of CANDU NPPs due to changes in condenser coolant characteristics
This research investigates the harmful effects of changes in condenser seawater coolant temperature, fouling, and salinity, on the thermal performance of an existed CANDU nuclear power plant (NPP). A mathematical model is developed to relate seawater cooling temperature, fouling, and salinity to the output power and thermal efficiency of the plant. The model also elaborates the impact of the condenser performance on power and efficiency. The thermal efficiency of the considered CANDU NPP is reduced by 2.24%, for combined extreme increases in the condenser cooling seawater temperature, fouling factor of seawater and treated boiler feed water, and salinity of 10 °C, 0.0002, 0.00001 m2K/W, and 100 g/kg, respectively. A rise in the condenser efficiency from 40 - 100 % increases the output power by 7.0136 % of the plant, and the thermal efficiency increases by about 2.34 %.
Simultaneous projection of world multiple crude oil price benchmarks via hybride of particle swarm optimization-gravitational search algorithm redesigned neural networks
Conventional methods such as econometrical and statistical models are no longer feasible to handle the nonlinear, non-stationary, chaotic, volatile, and complex nature of crude oil prices due to their linearity nature; computational intelligence techniques were proposed to address these issues. More so, single modelling principle and traditional methods have not been effective enough in forecasting of crude oil prices, hybrid modelling principles have been employed to predict crude oil prices by researchers with better improvements. A group researchers opined that the use of hybrid models can also reduce the risk of choosing an inappropriate model because the use of a single model cannot always accurately forecast the extremely complex crude oil price time-series. A combination method can be applied to multiple forecasts and perform linear or nonlinear combinations of the forecasts, leading to an aggregate forecast. However, no research is found to have used the hybrid of gravitational search algorithm (GSA) and particle swarm optimization (PSO) to train artificial neural network (ANN) for simultaneous prediction of crude oil price benchmarks of WTI, Brent and Dubai. More so, most researchers have dwelled on only West Texas Intermediate (WIT) crude oil spot prices as their benchmark.
Deep Reinforcement Learning with Hidden Markov Model for Speech Recognition
Nowadays, many applications uses speech recognition especially the field of computer science and electronics, Speech Recognition (SR) is the interpretation of words spoken into a text. It is also known as Speech-To-Text (STT) or Automatic-Speech-Recognition(ASR), or just Word-Recognition(WR). The Hidden-Markov-Model (HMM) is a type of Markov model, which means that the future state of the model depends on the current state, not on the entire history of the system and the goal of HMM is to learn a sequence of hidden states from a set of known states. The Long-Short-Time-Memory (LSTM) network is a type of Recurrent Neural Network (RNN) that can learn long-term dependencies between time steps of sequence data. The LSTM network is trained by the network in order to predict the values of subsequent time steps in a series-to-series regression. Deep Neural Network (DNN) models are better classifiers than Gaussian Mixture Models (GMMs), they can generalize much better with a smaller number of parameters over complex distributions. They model distributions of different classes jointly, called “distributed” learning, or, more properly “tied” learning. This work is aimed at developing a speech recognition model that will predict isolated speech of some selected fruits in Hausa, Igbo and Yoruba language by using the predicting power of Mel-Frequency-Cepstral-Coefficient (MFCC), LSTM and HMM algorithms. The findings of the study would improve the development of better automatic speech applications systems and would benefit the academic and research community in the field of Natural Language Processing.
PROPOSING SOLUTIONS TO REDUCE FACTORS AFFECTING THE DELAY OF CONSTRUCTION PHASE IN HIGH-RISE BUILDING PROJECTS
Along with the rapid development of the construction industry in recent years, high-rise projects have grown in both quantity and scale. However, delays are common in this type of project in developing countries. It causes significant economic damage and has a very serious impact on investor confidence. Following a previous study on factors affecting the delay of construction phase in high-rise building projects, this study will propose solutions to reduce the factors mentioned in the previous study. Nine groups of solutions corresponding to nine groups of factors will be analyzed in this study. The investor chooses a designer and project management consultant who has expertise, experience and is suitable for the project; the investor clearly determined the scale and purpose of using the project; skilled labor and suitable construction methods; provide adequate and timely materials; the investor has to confirm the contractor's capacity are suggested as mitigation activities. The results could help stakeholders learn from the mentioned factors and apply solutions so that they can avoid delays.
SEISMIC TORSIONAL BEHAVIOR OF A TESTED FULL-SCALE STEEL BUILDING
Based on shaking experiment results of a full-scale 4-story steel building conducted on E-Defense – the world largest shaking table in Japan, the characterization of twisting behavior can be achieved. Exploration on twisting motion of the specimen building is presented in this paper, addressing global rotational responses in various increasing excitation levels. Study results show that the torsion movement of the building is mainly due to story mass eccentricity. On the other hand, the shaking-table also causes considerable influence on the building twisting response. System identification and mode superposition of response translational acceleration at floor mass centers are carried out. Some justifications for stiffness of non-structural are also presented, through which we can get a more precise basis to determine stiffness contribution of each component.
OPTIMIZATION OF COMPRESSION IGNITION ENGINE FUELLED WITH COTTON SEED BIODIESEL USING DIGLYME AND INJECTION PRESSURE
The main research problem from the usage of diesel engine arises from increased fuel prices and emissions releasing from combustion. The objective of the current work relies on finding out a suitable biodiesel blend and improving the diesel engine characteristics by means of additives. The current study discusses about the optimization of the diesel engine characteristics employing cotton seed biodiesel (CSOME) blends. CSOME 20 was found to give the better engine characteristics. Also the engine characteristics were optimized with the addition of diglyme at proportions of 10 and 15% to CSOME20. Along with further optimization was done with varying injection pressure values. It was observed that CSOME DGM 15 reduced the smoke and carbon monoxide emissions with rise in Nitrogen Oxides. BTE was recorded to be highest at 220 bar. Smoke and hydrocarbon were found to be minimum at 220 bar with maximum NOx emissions.
AN INVESTIGATION OF A TWO-STAGE ASYMMETRIC DAMPER’ EFFECT ON THE RIDE COMFORT OF AN INNER-CITY BUS BY USING 3-DOFS VEHICLE MODEL SUBJECTED TO RANDOM ROAD PROFILES
The effect of the asymmetric damper on the vertical acceleration of the driver’s body, suspension deflection and tire dynamic load were studied thoroughly in order to provide suggestions for choosing damping parameters while building a bus’s suspension system. The vehicle model with three DOFs exposed to random road profiles was employed to investigate the dynamic responses for both two cases of linear symmetric and two-stage asymmetric dampers. The investigation was carried out in the time domain by simulation, then the root-mean-square of oscillatory parameters was calculated and examined by using a program made in the MATLAB software. The results of the analysis show that a two-stage asymmetric damper ensures good oscillatory comfort of the driver but provides less handling stability of the bus when compared to a linear symmetric one
IMPROVING THE EFFICIENCY OF BOVINE SOMATIC CELL NUCLEAR TRANSFER PROTOCOL BY ESTABLISHMENT OF CULTURE MEDIUM CHANGING SYSTEM
Bovine cloning is expected as a promising technology for endangered genome conservation and the production of transgenic cloned cows to manufacture human recombinant proteins. However, cloned bovine embryos often resulted in poor development, thus reducing the success of producing cloned offspring. One of the reasons is based on culture medium, which directly relates to the development of cloned bovine embryos. This study aimed to establish culture medium changing system to improve the efficiency of bovine somatic cell nuclear transfer protocol. Our results showed that using the culture medium of Takahashi and First 1992 produced the cloned bovine blastocyst at the highest rate (9.4%, P < 0.05) among different modified synthetic oviduct fluid (mSOF) media. In addition, the rate of embryos developed to the hatching blastocyst was highest in the culture group within transfer embryos to the fresh medium with 5% FBS on day 3 and day 5 (18.5%) compared to the other treatments. Finally, we found that cloned embryos in the group of partial replacement presented significantly higher blastocyst formation rate and quality compared to the group of full replacement (27.6% and 15.6%, respectively, P < 0.05), and it also showed the highest number of cells in blastocyst (about 116 cells). In conclusion, using mSOF and changing the fresh medium supplemented with 5% FBS on day 3 following partial replacement on day 5 improved the preimplantation development of cloned bovine embryos and promoted the blastocyst quality.
UTILIZATION OF THE INFLUENCE LINE OF DISPLACEMENT TO IDENTIFY A DECLINE IN THE STIFFNESS OF BEAMS
The purpose of this work is to offer a method for detecting structural damage utilizing the standardized index of the beam's deflection influence line difference as input data for the evaluation procedure. The displacement influence line used in the evaluation is calculated using the findings of the behavior analysis of the reinforced concrete beam's finite element model when subjected to a moving load. SAP2000 software is used to simulate reinforced concrete beams. The mobile load is then assigned to move along the beam from its starting position to its ending position. For each mobile load example, the displacement at each survey node will be output to draw the influence line. The displacement analysis of the beams is compared before and after assuming damage for each mobile load instance in order to determine the location of the stiffness drop. From then, the findings of beam damage diagnosis are reviewed and evaluated, as well as the methods' practicality in real implementations.
CHARACTERISATION AND SPECIFIC MARKERS EXPRESSION OF SOFT TISSUE SARCOMA: CASE REPORTS FOR THE DOG AT THE HO CHI MINH CITY VETERINARY CLINIC
Treatment failure in removing canine soft tissue tumors, a locally invasive mesenchymal neoplasm, may occur in between 7 and 75 percent of patients, with recurrence consistently associated with lower overall survival for the dog. This study was to classify the tumor examine the occurrence of cancers in dogs reported at the Ho Chi Minh Veterinary Clinic by integrating blood physiological and histopathological of patient samples. In this study, the percentage of tissue sarcoma in the dog was 1.5%. Histopathological analysis characteristics of the ear lobe tumors displayed a strong proliferation of rhabdoid cells, presence of leukocytes infiltrating around blood vessels, and vaginal tumors showed normal tumor cell density with a strong collagen fibers formation in fibroblast cells and no strong proliferation and ferocity of cells. In particular, immuno-histopathological analysis of biopsies sample from breast tumor showed an overexpressing of vimentin marker (68.1%) in cells which indicated status of malignant metastasis. The metastatic tumor cells in breast tumor might cause the change in blood biochemical parameters together with sepsis, thus the dog was not eligible for surgery. In general, histological examination and expression levels of markers can help determine the malignant status of tumors in dogs and should be included medical examination to limit local recurrence following surgical resection.
OPTIMAL WEATHER ROUTING BASED ON ADAPTIVE BACTERIA FORAGING ALGORITHM FOR VESSEL
The economic efficiency, energy efficiency, reduce emission, increasing safety and security play a vital role to develop a sustainable shipping fleet. One of important measures to response these requirment is the optimal weather routing system. Because of the vessel routing is influenced by the quality of meteorological and oceanographic data such as wind, waves, and currents. Therefore, In this study an optimal weather routing model (OWR) considers the meteorological and oceanographic information, ship’s characteristics combined with adaptive Bacterial Foraging Optimization Algorithm will be proposed and applied for ship’ navigation. The simulation results will be presented to show the effectiveness as well as the reliability of this model. The OWR will make it possible for safe navigation, effective operation, energy efficiency and reduce emission from vessel.
TEMPORAL VARIATIONS OF NDVI WITH RESPONSES TO CLIMATE CHANGE IN MAYURBHANJ DISTRICT OF ODISHA FROM 2015-2020
The study aims to calculate the Normalized Difference Vegetation Index (NDVI) in the Mayurbhanj District of Odisha, analyze the temporal changes in the Normalized Difference Vegetation Index (NDVI) of the study area, and examine the effects or impacts of vegetation change on the environment. The Normalized Difference Vegetation Index (NDVI) values of four different seasons in January, April, July, and October for the years 2015,2016,2017,2018, and 2019 were compared to the NDVIs values of January, April, July, and October for the year 2020 respectively. The changes in vegetation pixel areas were calculated using the raster calculation tool. Analyzing the database of these 6 years, it was found that, the highest significant loss was found in July 2016 at 3381.3 ha. and the lowest at 43.2 in October 2018. The loss was maximum in October 2018 at 3683.7 ha. and lowest in July 2017 at 960.3 ha. No change in vegetation category was highest in the year 2017, October of 3855.6 ha. and lowest in the year 2018, July of 1065.6 ha. In the year 2017, July had the highest gain in the vegetation of 3154.5 ha., the maximum whereas the lowest gain in October 2017 was at 1248.3 ha. The significant gain was maximum in the year 2017, April of 1775.7 ha. and a minimum of 3.6 ha. in October 2016. The year 2015 and 2019 had no more effect on vegetation changes whereas the year 2016-2018 was severely affected by a change in vegetation and they have a huge effect on the environment of Mayurbhanj.
A STUDY INTO THE PROPERTIES OF SANDCRETE BLOCKS PRODUCED FROM SPENT CATALYTIC CATALYST AS A PARTIAL SUBSTITUTE FOR PORTLAND CEMENT
Spent Catalytic Catalyst (SCC) is a siliceous and aluminous material residue produced by the Tema Oil Refinery (TOR) Limited of Ghana, which pose environmental concerns. The SCC has therefore been used as a partial replacement for Portland cement in sandcrete blocks production. The properties of the sandcrete blocks are therefore examined and reported in this study. Partial replacement of Portland cement in the sandcrete blocks was done within the range of 5% to 20% (by mass) with an increment of 5%. The compressive strength, water absorption and setting time data between the control and with the SCC additives were made. The results obtained show that XRD pattern of SCC is dominantly zeolites and that, the partial replacement of portland cement with 10 wt. % of SCC gave the highest sandcrete block compressive strength of 34.0 N/mm2
SEASONAL CHANGES OF TOTAL MERCURY IN A MANGROVE LAGOON ECOSYSTEM
In order to understand the variation of total mercury (THg) in a tropical mangrove lagoon ecosystem. THg concentration was seasonally analysed in the biota and surface sediments from Setiu lagoon, Terengganu, Malaysia. THg in sediments showed spatially the similar trend with higher concentrations in dry season compared to the rainy season, whereas most of the biota was found the opposite trend between seasons. Increased rainfall during the rainy season may be the main factor enhancing the bioavailability of THg to biota. Fishes are recorded the highest THg accumulation compared to other groups. However, the THg accumulation in carnivorous fishes suggests the need for a long-term THg monitoring programme in the mangrove lagoon
APPLICATION OF DISPLACEMENT ASSURANCE CRITERION USING DISPLACEMENT DATA FOR ASR-DETERIORATED GIRDER
This study focused on displacement data and proposed a displacement reliability evaluation index, DAC (Displacement Assurance Criterion), for assessing the overall rigidity of a structure. The DAC evaluation was applied to the results of the bending load tests of two prestressed concrete (PC) girders. One of the PC girders was affected by the alkali-silica reaction (ASR). In contrast, the other girder was kept at an inactive state by suppressing the ASR's acceleration using fly ash concrete. The results show that the DAC index can express the difference between two displacement shapes with a single numerical value. Moreover, there is a correlation between the DAC index and the change in rigidity during the fracture process of each PC girder. Using the DAC value obtained by the loading test as a control value for displacement monitoring due to temperature change, DAC may be a method that can easily find abnormal values
Copyright (c) 2022 Journal of Technology & Innovation (JTIN)
ADAPTIVE SLIDING MODE CONTROL OF MOBILE MANIPULATOR WELDING SYSTEM FOR FLAT HULL BLOCK
In this paper, an adaptive sliding mode control of mobile manipulator welding system for horizontal fillet joints is presented. The requirements of welding task are that the end effector must track along a welding trajectory with a constant velocity and must be inclined to the welding trajectory with a constant angle in the whole welding process. The mobile manipulator is divided into two subsystems such as the tree linked manipulator and the wheeled mobile platform. Two controllers are designed based on the decentralized motion method. The effectiveness of the proposed control system is proven through the simulation results.
PRESERVING PRIVACY FOR PAGERANK ALGORITHM
Data mining has been emergingly applied in many fields to discover the knowledge from the huge data. To do that, information has been sent forward and backward among data owners, users, and maybe third parties. In this situation, it is necessary to design systems to exchange the data between the data owner, the client and third parties during data mining process without scarifying the sensitiveness of data. Hence, we need a privacy preserving mechanism while mining to protect the data as in the situation of sophisticated cyberattack. In this work, we describe a model for ensuring the privacy in ranking on the graph using PageRank and Shamir Secure Sharing scheme. Specifically, Shamir Secure Sharing scheme has been applied to share the information of graph from the data owner to many servers (i.e. third party). Then, the share of graph on each server will be ranked separately. When the users need the results of ranking and make a request, the information from servers will be combined for the users. Doing this way, the third party doesn’t know the meaning of data but still run analyzing the data. Hence, data owner preserves the privacy of his data while users still retrieve a piece of the information as needed.
A COMPARISON OF LYAPUNOV AND FUZZY APPROACHES TO TRACKING CONTROLLER DESIGN
There are numerous types of locomotion of mobile robots. Therein, the most widespread type of locomotion is motion using wheels. The task of robot is transport themselves from place to place. And tracking control is always an important problem to appply robots in practice. The robot has to reach the final goal by following a referenced trajectory. The paper proposes two methods based on the lyapunov stability standard and fuzzy law. Then, we simulate the algorithms to evaluate the results.